{"meta":{"query_hash":"2552c685db0a","filters":{"venue":"Control Engineering Practice"},"cohort_total":110,"direct_labels_cover":1,"predictions_cover":110,"exported":110,"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/2552c685db0a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Control+Engineering+Practice"},"results":[{"id":"W1263361851","doi":"10.1016/j.conengprac.2015.07.005","title":"Impact of model plant mismatch on performance of control systems: An application to paper machine control","year":2015,"lang":"en","type":"article","venue":"Control Engineering Practice","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 British Columbia","funders":"","keywords":"Control theory (sociology); Sensitivity (control systems); Parametric statistics; Transient (computer programming); Variance (accounting); MIMO; Steady state (chemistry); Transient response; Measure (data warehouse); Work (physics); Computer science; Control system; Control (management); Engineering; Mathematics; Statistics; Artificial intelligence; Electronic engineering; Channel (broadcasting); Data mining","score_opus":0.008946346375241578,"score_gpt":0.24262343546767307,"score_spread":0.23367708909243148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1263361851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040447474,0.00061511976,0.95611817,0.00006635335,0.0002690454,0.0015113377,0.00030857782,0.0003450037,0.0003189048],"genre_scores_gemma":[0.9969214,0.000020499298,0.0023647454,0.00006958438,0.000137253,0.0003321881,0.000028651139,0.000112221176,0.000013426337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979281,0.000090250054,0.0008115746,0.00030785758,0.0004514115,0.0004108092],"domain_scores_gemma":[0.9976846,0.00047883912,0.00031605037,0.00069280964,0.00049391726,0.00033376625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077354204,0.00039620654,0.00080136105,0.00024224007,0.000028306844,0.00003229777,0.00029656128,0.00016454693,0.0000018072952],"category_scores_gemma":[0.00058946933,0.00037565248,0.000110846,0.00025577864,0.0000150592305,0.0009754198,0.000010625071,0.00026916104,0.000016811202],"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":[0.0012090213,0.00009152377,0.00016295306,0.00015035698,0.00029805058,0.0000019501972,0.00017366295,0.9708898,0.02608942,0.00043779326,0.00004721496,0.00044822373],"study_design_scores_gemma":[0.0057973266,0.00068008126,0.00032455873,0.00010139314,0.00016516157,0.000024480398,0.000026797901,0.992032,0.00015275797,0.000002712262,0.00036288457,0.0003298268],"about_ca_topic_score_codex":0.00013002507,"about_ca_topic_score_gemma":0.0000029032838,"teacher_disagreement_score":0.95647395,"about_ca_system_score_codex":0.00032670045,"about_ca_system_score_gemma":0.00007489595,"threshold_uncertainty_score":0.9998695},"labels":[],"label_agreement":null},{"id":"W1963815998","doi":"10.1016/s0967-0661(01)00008-9","title":"Control of coating properties of LDPE through melt strength measurements","year":2001,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Low-density polyethylene; Plastics extrusion; Extrusion; Model predictive control; Control theory (sociology); Composite material; Controller (irrigation); Pellets; Polymer; Computer science; Control (management)","score_opus":0.021770108791035612,"score_gpt":0.22581144013057486,"score_spread":0.20404133133953925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963815998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00726747,0.003851344,0.9855961,0.000097273776,0.0004630531,0.00065684546,0.000013667605,0.00037453906,0.001679673],"genre_scores_gemma":[0.9906867,0.000095826144,0.008882118,0.000035597383,0.00011951387,0.000079102334,0.0000026839734,0.000082173225,0.000016240683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813926,0.00007864576,0.00078478974,0.00020495409,0.00043296025,0.00035938883],"domain_scores_gemma":[0.99839485,0.00039249085,0.00032271698,0.0003742656,0.00044925782,0.0000664067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049004715,0.00028777987,0.00059701037,0.00010901,0.000036696318,0.000022599132,0.0002128594,0.000114699105,0.000010006454],"category_scores_gemma":[0.0019782048,0.00029135874,0.00009714552,0.00028647858,0.000029210309,0.0009917455,0.000014703438,0.00022374745,0.0000055882315],"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":[0.00012783507,0.000040951956,0.00012859952,0.00019963387,0.00032887916,0.0000032716919,0.00019489106,0.8289061,0.16888,0.0003167789,0.000009788919,0.0008632588],"study_design_scores_gemma":[0.004204576,0.00008192113,0.000082425395,0.0003059917,0.0002459623,0.00002591428,0.0001176447,0.9689578,0.022990927,0.0000067901838,0.0026693281,0.0003107424],"about_ca_topic_score_codex":0.000053866133,"about_ca_topic_score_gemma":0.0000031731847,"teacher_disagreement_score":0.9834193,"about_ca_system_score_codex":0.000103557,"about_ca_system_score_gemma":0.000029357641,"threshold_uncertainty_score":0.99995387},"labels":[],"label_agreement":null},{"id":"W1968248825","doi":"10.1016/j.conengprac.2015.03.004","title":"Bilateral teleoperation system stability with non-passive and strictly passive operator or environment","year":2015,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Teleoperation and Haptic 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":"University of Alberta","funders":"","keywords":"Teleoperation; Passivity; Control theory (sociology); Stability (learning theory); Operator (biology); Port (circuit theory); Haptic technology; Robot; Computer science; Position (finance); Reflection (computer programming); Remote operation; Simulation; Control engineering; Engineering; Control (management); Artificial intelligence; Electronic engineering; Telecommunications","score_opus":0.009968539789884906,"score_gpt":0.18793809665359534,"score_spread":0.17796955686371044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968248825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21449341,0.0007151326,0.7776208,0.00060747366,0.0012460069,0.0021483894,0.00005916369,0.0011215124,0.0019881397],"genre_scores_gemma":[0.9964191,0.00002402252,0.0029506583,0.000073887444,0.00021240882,0.00020331463,0.0000075188314,0.000054509972,0.000054615615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987422,0.000063723404,0.00034549448,0.00028214869,0.00028631496,0.00028010758],"domain_scores_gemma":[0.99901325,0.00022289553,0.000062423955,0.00028807297,0.00013839688,0.000274946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029546212,0.00028243448,0.00033126533,0.00007853954,0.00006596004,0.00021552414,0.00009194563,0.00010601884,0.000020337277],"category_scores_gemma":[0.00022196333,0.00021359956,0.000023504183,0.00012028619,0.000020875608,0.0007632717,0.000018113647,0.00021913307,0.00004794014],"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":[0.00025542144,0.00004714562,0.0002340941,0.00023182445,0.000271346,0.000118840544,0.0016854659,0.99130535,0.0038935116,0.00048304535,0.0002461507,0.001227823],"study_design_scores_gemma":[0.003410346,0.00032661972,0.00069689244,0.00007590293,0.0001257595,0.00028491722,0.0019017761,0.9754971,0.0010323696,1.8968635e-7,0.016225658,0.00042244958],"about_ca_topic_score_codex":0.00003719032,"about_ca_topic_score_gemma":0.0000078479,"teacher_disagreement_score":0.7819256,"about_ca_system_score_codex":0.0003414321,"about_ca_system_score_gemma":0.000078405224,"threshold_uncertainty_score":0.8710337},"labels":[],"label_agreement":null},{"id":"W1971730535","doi":"10.1016/s0967-0661(02)00116-8","title":"Linear and bilinear fault detection and diagnosis based on mass and energy balance equations","year":2002,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bilinear interpolation; Fault detection and isolation; Balance (ability); Fault (geology); Applied mathematics; Energy balance; Nonlinear system; Mathematics; Control theory (sociology); Computer science; Statistics; Physics; Geology; Artificial intelligence; Thermodynamics; Medicine; Seismology; Control (management)","score_opus":0.0073703608247409035,"score_gpt":0.19696639133629018,"score_spread":0.18959603051154927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971730535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006379028,0.005202218,0.9839165,0.0012870445,0.00073946506,0.00028681618,0.000022578623,0.0008467081,0.0013195919],"genre_scores_gemma":[0.99806064,0.0005862099,0.0006505341,0.00024315197,0.00016867211,0.00016447717,0.0000010611781,0.000042274856,0.000082972976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991644,0.00004738398,0.0002084085,0.0002328075,0.00013943353,0.00020758373],"domain_scores_gemma":[0.998452,0.0011597385,0.000043073378,0.00016937862,0.000044250613,0.00013155979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018698414,0.00020196992,0.00021069811,0.00014533973,0.00008786531,0.000091847316,0.000040630406,0.000113907816,0.000013934252],"category_scores_gemma":[0.00077995844,0.00021139931,0.000027563217,0.0001522585,0.000019119263,0.00028265791,0.0000064839373,0.00020921268,0.000008063478],"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":[0.000045977315,0.000037554633,0.00008719711,0.000100122306,0.000094591116,0.000012734993,0.00007481264,0.9487982,0.0074055553,0.00022900339,0.000057997415,0.0430563],"study_design_scores_gemma":[0.0015428928,0.00009960603,0.00013177279,0.00003344118,0.00005479134,0.00002078347,0.000020667187,0.93363875,0.00030576863,0.0000024032383,0.06394588,0.00020322422],"about_ca_topic_score_codex":0.000035231882,"about_ca_topic_score_gemma":0.000008257039,"teacher_disagreement_score":0.99168164,"about_ca_system_score_codex":0.000038886952,"about_ca_system_score_gemma":0.000002748571,"threshold_uncertainty_score":0.8620614},"labels":[],"label_agreement":null},{"id":"W1977765957","doi":"10.1016/j.conengprac.2012.12.007","title":"Improved DCT-based method for online detection of oscillations in univariate time series","year":2013,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":29,"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":"Oscillation (cell signaling); Univariate; Discrete cosine transform; Series (stratigraphy); Compensation (psychology); Control theory (sociology); Process (computing); Computer science; Mathematics; Interval (graph theory); Algorithm; Artificial intelligence; Statistics; Multivariate statistics","score_opus":0.004855474608047512,"score_gpt":0.2282555291158546,"score_spread":0.2234000545078071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977765957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026822693,0.00016994285,0.99491465,0.00032029385,0.000411344,0.0008939232,0.000034794877,0.0003807203,0.00019203669],"genre_scores_gemma":[0.9608481,0.0000049025093,0.03850519,0.000049558406,0.00009437078,0.0003157034,0.000008718616,0.000054471497,0.00011901556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990361,0.000060682123,0.0004116701,0.00015649924,0.00009586809,0.00023920144],"domain_scores_gemma":[0.9986003,0.00086628675,0.00009513168,0.0002110978,0.00016392976,0.0000632689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038473023,0.00017675273,0.00031005061,0.00022598452,0.000029234076,0.00003927067,0.000089598936,0.00012134515,0.000017940596],"category_scores_gemma":[0.00083170953,0.00019076963,0.000084068415,0.0002867606,0.000007769372,0.0005219962,0.0000054610273,0.00017991032,0.000013325858],"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":[0.000057406585,0.000020193229,0.0000013351284,0.00006872129,0.000055968452,3.4360932e-7,0.000022807955,0.6533582,0.34181038,0.000053391497,0.00001006539,0.0045411927],"study_design_scores_gemma":[0.0021927524,0.00010072471,0.0002533213,0.000026463169,0.000052364765,0.000007534885,0.000038706818,0.9764465,0.0041761114,0.0000081954795,0.016517757,0.00017953786],"about_ca_topic_score_codex":0.00022388619,"about_ca_topic_score_gemma":0.000041035462,"teacher_disagreement_score":0.9581658,"about_ca_system_score_codex":0.00009716661,"about_ca_system_score_gemma":0.000023584083,"threshold_uncertainty_score":0.777936},"labels":[],"label_agreement":null},{"id":"W1979442134","doi":"10.1016/j.conengprac.2009.02.002","title":"Variable structure surge control for constant speed centrifugal compressors","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Centrifugal compressor; Surge; Constant (computer programming); Gas compressor; Control theory (sociology); Variable (mathematics); Engineering; Mechanics; Physics; Control (management); Computer science; Mechanical engineering; Mathematics; Electrical engineering; Mathematical analysis","score_opus":0.0035263062405826505,"score_gpt":0.1979263324824949,"score_spread":0.19440002624191224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979442134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002788469,0.0010264621,0.99102753,0.00046975032,0.0012116119,0.0008320842,0.00023108756,0.0008584645,0.0015545599],"genre_scores_gemma":[0.983262,0.000044359655,0.015626675,0.00051339134,0.00039043734,0.000013660033,0.000054157263,0.00005247821,0.000042820575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998732,0.000022642898,0.00034891505,0.00021412484,0.00018053054,0.00050178694],"domain_scores_gemma":[0.99879795,0.00058589847,0.00007953399,0.00025953478,0.0001454987,0.00013156852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002458763,0.0002954204,0.00037599014,0.00011750961,0.00008607092,0.00010997756,0.00016489688,0.00015461803,0.000047464382],"category_scores_gemma":[0.00043831504,0.00029838242,0.00007909344,0.00020091195,0.000011770931,0.0007737826,0.0000051111147,0.0003077961,0.000007821628],"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":[0.00019926977,0.000024879268,0.000043113017,0.00004843858,0.00012428711,0.0000066681846,0.000038238584,0.9839303,0.010054377,0.0039115287,0.00094596937,0.00067291374],"study_design_scores_gemma":[0.003938504,0.00007309802,0.00035818366,0.000027997174,0.00015912626,0.000037093294,0.0000104767005,0.9387017,0.0003282624,0.000055176533,0.05597718,0.0003332071],"about_ca_topic_score_codex":0.0000038481116,"about_ca_topic_score_gemma":4.7261858e-7,"teacher_disagreement_score":0.9804736,"about_ca_system_score_codex":0.00008107656,"about_ca_system_score_gemma":0.000030343055,"threshold_uncertainty_score":0.99994683},"labels":[],"label_agreement":null},{"id":"W1985079730","doi":"10.1016/j.conengprac.2007.04.004","title":"Dynamics and variance control of hot mill loopers","year":2007,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Mill; Variance (accounting); Controller (irrigation); Engineering; Covariance; Nonlinear system; Control (management); Control engineering; Control system; Mathematics; Computer science; Statistics; Mechanical engineering; Artificial intelligence; Agronomy; Physics","score_opus":0.003499411955948043,"score_gpt":0.19706557999033839,"score_spread":0.19356616803439033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985079730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016368117,0.0012619379,0.9789777,0.00010490519,0.0008287918,0.00018543674,0.000015155982,0.00021104283,0.0020469206],"genre_scores_gemma":[0.99515,0.000112601934,0.0044466867,0.000076893106,0.000102155944,0.00000669799,0.0000027679373,0.00003950297,0.000062664636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991363,0.000016699798,0.00030361296,0.00013065262,0.00011921737,0.0002934842],"domain_scores_gemma":[0.99895585,0.0006372145,0.00006284316,0.00017785077,0.00006522072,0.00010103493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085338077,0.00017025066,0.00027669978,0.000090736605,0.000027820191,0.000024209563,0.000097067335,0.00011243324,0.00001779759],"category_scores_gemma":[0.00063587964,0.00017962816,0.000038950486,0.000109499364,0.000022762446,0.00037460524,0.00001164284,0.00019733729,0.00000804358],"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":[0.00046890602,0.0000419571,0.000043182805,0.00045948024,0.0005322056,0.000075466254,0.0002716019,0.8668629,0.08551666,0.03395884,0.00003683507,0.011731995],"study_design_scores_gemma":[0.0019465478,0.00005508305,0.0007870178,0.00005206669,0.00016469446,0.00008500629,0.000061063765,0.9782696,0.0019532572,0.00001584492,0.016321892,0.00028793723],"about_ca_topic_score_codex":0.000014498036,"about_ca_topic_score_gemma":0.0000049754385,"teacher_disagreement_score":0.97878194,"about_ca_system_score_codex":0.00004454255,"about_ca_system_score_gemma":0.000009378261,"threshold_uncertainty_score":0.73250234},"labels":[],"label_agreement":null},{"id":"W1987352310","doi":"10.1016/j.conengprac.2012.05.008","title":"Fault detection and isolation in stochastic non-linear state-space models using particle filters","year":2012,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fault detection and isolation; Particle filter; Nonlinear system; Robustness (evolution); Control theory (sociology); Extended Kalman filter; Algorithm; State space; Kalman filter; Computer science; Engineering; Mathematical optimization; Mathematics; Statistics; Artificial intelligence; Physics","score_opus":0.012731296674345735,"score_gpt":0.2332217073898098,"score_spread":0.22049041071546405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987352310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20961219,0.00066139194,0.7885692,0.000036602967,0.0005755396,0.00027314437,0.0000027268666,0.000217481,0.00005170214],"genre_scores_gemma":[0.9987641,0.0000152213215,0.0009189296,0.000031785752,0.00015162336,0.000051586703,6.604804e-7,0.000050330244,0.00001575944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896693,0.000045354813,0.0002810177,0.00015052172,0.00014665749,0.00040952134],"domain_scores_gemma":[0.9993363,0.00027136967,0.000055773886,0.000150433,0.000041845415,0.0001442605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043725537,0.00019159215,0.00021522427,0.00012899979,0.00004809767,0.000052814506,0.000047942605,0.00008961888,0.000002655911],"category_scores_gemma":[0.00023619695,0.00021649178,0.000033235094,0.00022709837,0.000009490338,0.0014517816,0.0000106138905,0.0002687262,0.000010747944],"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":[0.000058348513,0.000015633104,0.0000337716,0.000030064592,0.000037995153,0.0000017594655,0.0005099133,0.952834,0.045591924,0.000022925753,0.0000018051114,0.00086182076],"study_design_scores_gemma":[0.001335869,0.000027106375,0.00027422194,0.000033320626,0.00004405565,0.000045006334,0.00016579535,0.9968966,0.0006258367,0.0000042179936,0.00032275135,0.00022516801],"about_ca_topic_score_codex":0.00011820756,"about_ca_topic_score_gemma":0.0000148910885,"teacher_disagreement_score":0.7891519,"about_ca_system_score_codex":0.00015560094,"about_ca_system_score_gemma":0.000007964571,"threshold_uncertainty_score":0.8828278},"labels":[],"label_agreement":null},{"id":"W1990181972","doi":"10.1016/j.conengprac.2012.02.001","title":"Adaptive control of a continuously variable transmission subject to wear","year":2012,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Iterative Learning Control 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":"Université de Sherbrooke","funders":"","keywords":"Control theory (sociology); Continuously variable transmission; Nonlinear system; Transmission (telecommunications); Controller (irrigation); Variable (mathematics); Linearization; Stability (learning theory); Artificial neural network; Engineering; Control engineering; Adaptation (eye); Computer science; Control (management); Mathematics; Artificial intelligence","score_opus":0.005111395896394186,"score_gpt":0.2057253864199422,"score_spread":0.200613990523548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990181972","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019194297,0.0031186547,0.98879397,0.00020809688,0.00090043194,0.0008970028,0.00002793295,0.00055820856,0.0035762987],"genre_scores_gemma":[0.98696285,0.000010606959,0.01195382,0.00019348157,0.00045569552,0.00014286248,0.0000027048893,0.000121632496,0.00015634073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978531,0.00020744008,0.00057135813,0.00023901471,0.00035960655,0.00076947775],"domain_scores_gemma":[0.9973639,0.0015622459,0.00012947786,0.00036321732,0.00022968432,0.00035147057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013395847,0.00038247067,0.00070794683,0.00023706931,0.000054500113,0.00005337373,0.00023484958,0.00017475485,0.000053548938],"category_scores_gemma":[0.0011361,0.0003897435,0.00012929876,0.00040776888,0.000017299295,0.0008664583,0.0000141552555,0.0004887264,0.000114806004],"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":[0.00040421172,0.00007659096,0.00020199992,0.00013195052,0.0004983753,0.000008167332,0.0016043778,0.8794363,0.11307803,0.002354371,0.00033402944,0.0018715928],"study_design_scores_gemma":[0.004234213,0.00028424128,0.0008659676,0.0002407453,0.00030101213,0.00006438106,0.00015706664,0.78620094,0.0015526668,0.0000037588823,0.20551589,0.0005791459],"about_ca_topic_score_codex":0.00004771232,"about_ca_topic_score_gemma":5.039599e-7,"teacher_disagreement_score":0.9850434,"about_ca_system_score_codex":0.00013952999,"about_ca_system_score_gemma":0.00003483524,"threshold_uncertainty_score":0.99985546},"labels":[],"label_agreement":null},{"id":"W1990524187","doi":"10.1016/j.conengprac.2005.01.015","title":"Identification of chemical processes with irregular output sampling","year":2005,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Identification (biology); Kalman filter; State variable; State-space representation; Expectation–maximization algorithm; Sampling (signal processing); State space; Computer science; Quality (philosophy); Mathematics; Statistics; Filter (signal processing); Maximum likelihood; Algorithm","score_opus":0.0067250521826056,"score_gpt":0.21712923191655942,"score_spread":0.2104041797339538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990524187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044561088,0.0023203327,0.950254,0.0004303112,0.0003648788,0.0004245068,0.000010671713,0.00092871604,0.0007054651],"genre_scores_gemma":[0.99795115,0.00002184101,0.0015967963,0.000030855805,0.00023353196,0.00006857797,0.0000021484134,0.000044968394,0.00005014924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990585,0.00001323538,0.00036145994,0.00015591837,0.00021236908,0.00019854936],"domain_scores_gemma":[0.99909806,0.00033873017,0.00009818888,0.0002249637,0.00017313095,0.00006689611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024753786,0.00016021612,0.00022307165,0.000091304944,0.000019705916,0.000047903803,0.00012408965,0.00007573331,0.00000509377],"category_scores_gemma":[0.00069774885,0.00015465652,0.000037156613,0.000234088,0.000014018449,0.00047948048,0.0000057289963,0.0001643486,0.00002522366],"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":[0.000057915622,0.000033227414,0.0000061082765,0.00026522097,0.0001239132,0.000001388392,0.00012532275,0.8782273,0.11757667,0.00010965604,0.00003396817,0.0034393284],"study_design_scores_gemma":[0.0012323601,0.000035450073,0.00005756616,0.00008157098,0.00011119654,0.000073386014,0.00006843941,0.91548455,0.035483368,0.0000016604799,0.04712641,0.00024404046],"about_ca_topic_score_codex":0.0000037541945,"about_ca_topic_score_gemma":0.000001579215,"teacher_disagreement_score":0.95339006,"about_ca_system_score_codex":0.00006286319,"about_ca_system_score_gemma":0.000028718192,"threshold_uncertainty_score":0.630671},"labels":[],"label_agreement":null},{"id":"W1994165254","doi":"10.1016/j.conengprac.2011.09.007","title":"Model analysis and performance analysis of two industrial MPCs","year":2011,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Suncor Energy (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated","keywords":"Control theory (sociology); Controller (irrigation); Model predictive control; Identification (biology); Computer science; Engineering; Control (management); Biology","score_opus":0.022619818393737723,"score_gpt":0.2238243151235493,"score_spread":0.20120449672981158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994165254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043167442,0.00032262402,0.9549344,0.0000086442915,0.00010847669,0.00016783328,0.000017524446,0.00021205352,0.0010609648],"genre_scores_gemma":[0.98175967,0.00007663254,0.0180176,0.000014154376,0.000041572483,0.00003160963,0.000008544107,0.000031200812,0.000019046596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989505,0.000028161649,0.00042053434,0.00019747295,0.00017350072,0.00022986562],"domain_scores_gemma":[0.99907583,0.00024248245,0.00014261328,0.00032317598,0.00012648624,0.00008938586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034863292,0.0001961398,0.00056830613,0.0007680264,0.000027425478,0.00001941116,0.00012264951,0.00010033198,0.000012389916],"category_scores_gemma":[0.00029274594,0.00021379848,0.00013173644,0.0016800383,0.000016651627,0.00068913447,0.000016864498,0.00020387176,0.0000016365783],"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":[0.000058557216,0.000013459599,0.0034194912,0.000019224633,0.005908279,0.0000016382479,0.00022033905,0.9884495,0.00054506795,0.00029836423,0.000002105348,0.0010639842],"study_design_scores_gemma":[0.0010637445,0.000025462012,0.0026960066,0.000008039112,0.009963631,0.0000019790962,0.000014841266,0.9858502,0.00012418124,0.0000029048633,0.00005443312,0.00019454389],"about_ca_topic_score_codex":0.000045553126,"about_ca_topic_score_gemma":0.000010577073,"teacher_disagreement_score":0.9385922,"about_ca_system_score_codex":0.000051785722,"about_ca_system_score_gemma":0.000012750315,"threshold_uncertainty_score":0.87184495},"labels":[],"label_agreement":null},{"id":"W1998433008","doi":"10.1016/j.conengprac.2005.04.013","title":"Adaptive iterative learning control for robot manipulators: Experimental results","year":2005,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Iterative Learning Control Systems","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":"Carleton University; Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Iterative method; Robot; Term (time); Computer science; Robot manipulator; Control (management); Mathematics; Artificial intelligence; Control engineering; Engineering; Algorithm","score_opus":0.010966980906630723,"score_gpt":0.2438806303474012,"score_spread":0.23291364944077048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998433008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012913804,0.0031583433,0.9877333,0.0006934604,0.0009893732,0.0015746969,0.000060595776,0.0014760136,0.0030228333],"genre_scores_gemma":[0.9869035,0.0000071292648,0.010022727,0.0002454729,0.0015622161,0.00058665255,0.000023583243,0.00018323614,0.000465523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974954,0.00020069063,0.0007292859,0.000500618,0.00032633872,0.00074763625],"domain_scores_gemma":[0.9966467,0.00233479,0.0002111609,0.00033197182,0.00027582576,0.00019952974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00090868515,0.0005483999,0.00063864264,0.00021071747,0.00019279815,0.00024544404,0.00024667502,0.00020520278,0.000017577475],"category_scores_gemma":[0.001771709,0.00059279177,0.00020519563,0.0001887331,0.000027934735,0.0013364744,0.000020067755,0.0007561935,0.00012519573],"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":[0.0007547647,0.00005180322,0.000011592395,0.000030340218,0.00047124678,0.00001435549,0.0013711953,0.97838646,0.016055731,0.0011779432,0.0005037129,0.0011708239],"study_design_scores_gemma":[0.008505811,0.0003617748,0.00008637778,0.00007968779,0.000110048386,0.00004387417,0.00027679917,0.85110027,0.0013286272,0.0000017134344,0.13756716,0.0005378584],"about_ca_topic_score_codex":0.000010567299,"about_ca_topic_score_gemma":0.0000022742468,"teacher_disagreement_score":0.9856121,"about_ca_system_score_codex":0.0004488116,"about_ca_system_score_gemma":0.000029190061,"threshold_uncertainty_score":0.9996523},"labels":[],"label_agreement":null},{"id":"W1999190913","doi":"10.1016/j.conengprac.2004.04.020","title":"Fault detection and isolation in the presence of process uncertainties","year":2004,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":59,"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":"Fault detection and isolation; Residual; Process (computing); Actuator; Control theory (sociology); Isolation (microbiology); Scheme (mathematics); Fault (geology); Computer science; Engineering; Control engineering; Algorithm; Mathematics; Artificial intelligence; Control (management)","score_opus":0.005132760932429862,"score_gpt":0.22110226522027768,"score_spread":0.2159695042878478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999190913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35409424,0.002661521,0.6389278,0.0007707888,0.0008411333,0.0009704393,0.0000045345046,0.00041715414,0.001312369],"genre_scores_gemma":[0.99968886,0.00003568988,0.00009676958,0.00003192348,0.000053359032,0.00007529334,3.0399866e-7,0.000013415839,0.0000043849022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993882,0.000032980864,0.00020625551,0.00009602319,0.00014538363,0.00013112724],"domain_scores_gemma":[0.99944913,0.0003100117,0.00004637372,0.00012031403,0.00005219412,0.000021948712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032218412,0.000101786376,0.00013020234,0.000091267044,0.000026847643,0.000036861395,0.000082627404,0.000059366506,9.1386937e-7],"category_scores_gemma":[0.0005509041,0.00008550072,0.000021686456,0.00022304988,0.000013856906,0.00040443102,0.000003426405,0.0001912535,0.0000019387776],"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":[0.000033608292,0.000010281947,0.000021386113,0.00009033222,0.000020648045,0.0000022022225,0.0010824602,0.9883565,0.008566159,0.00021882723,0.0000015421188,0.0015960779],"study_design_scores_gemma":[0.0011875964,0.0000535585,0.0010670453,0.000051304698,0.000025507972,0.000053923784,0.0010628372,0.9933827,0.00091832306,0.000050231927,0.002037902,0.00010906078],"about_ca_topic_score_codex":0.0000967476,"about_ca_topic_score_gemma":0.00003740289,"teacher_disagreement_score":0.6455946,"about_ca_system_score_codex":0.00003879159,"about_ca_system_score_gemma":0.000009427893,"threshold_uncertainty_score":0.34866178},"labels":[],"label_agreement":null},{"id":"W2002474704","doi":"10.1016/j.conengprac.2005.03.009","title":"Identification of nonlinear systems by Takagi–Sugeno fuzzy logic grey box modeling for real-time control","year":2005,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fuzzy logic; Nonlinear system; Identification (biology); Control theory (sociology); Fuzzy control system; Nonlinear system identification; Identifier; Adaptive neuro fuzzy inference system; System identification; Computer science; Electric power system; Neuro-fuzzy; Control engineering; Power (physics); Engineering; Artificial intelligence; Control (management); Data mining","score_opus":0.009385889209017392,"score_gpt":0.22970618238441246,"score_spread":0.22032029317539506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002474704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005388043,0.0028704777,0.99129355,0.0018380097,0.0006026383,0.0012972252,0.00007547612,0.00038818037,0.0010956527],"genre_scores_gemma":[0.9840375,0.00008022194,0.0144088995,0.00022180437,0.0005544668,0.00032139034,0.000013288593,0.00004231064,0.0003200741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972312,0.00015642804,0.0010445138,0.00057853817,0.0004548647,0.00053444674],"domain_scores_gemma":[0.99656135,0.0011337055,0.0006303346,0.0008069296,0.0007022309,0.00016545955],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020093883,0.00032135478,0.0006447065,0.00014209267,0.00011914409,0.00028412088,0.00087530405,0.00018990645,0.0000012417296],"category_scores_gemma":[0.0013350355,0.00031215828,0.00017976496,0.0002466828,0.000020132115,0.0014364971,0.00004341493,0.0002035239,0.000067542926],"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":[0.00010716349,0.00010972458,0.0000022044624,0.000099960445,0.00017392737,0.0000032579846,0.000105390085,0.883681,0.09075029,0.023224732,0.0004939118,0.0012484249],"study_design_scores_gemma":[0.0027888042,0.00016089699,0.0000035036537,0.00003883618,0.00012700833,0.00003418007,0.000027983355,0.98959,0.00020087264,0.00010364974,0.0066141034,0.0003101722],"about_ca_topic_score_codex":0.00010361556,"about_ca_topic_score_gemma":6.2666135e-7,"teacher_disagreement_score":0.98349875,"about_ca_system_score_codex":0.00013426122,"about_ca_system_score_gemma":0.00008958085,"threshold_uncertainty_score":0.99993306},"labels":[],"label_agreement":null},{"id":"W2005357793","doi":"10.1016/j.conengprac.2012.02.004","title":"Electrohydraulic force control design of a hardware-in-the-loop load emulator using a nonlinear QFT technique","year":2012,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Quantitative feedback theory; Actuator; Nonlinear system; Control engineering; Engineering; Plant; Control system; Robust control; Computer science; Control (management); Physics","score_opus":0.015211326400709855,"score_gpt":0.24439006084699544,"score_spread":0.2291787344462856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005357793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033929087,0.0030107053,0.9907756,0.00009346172,0.00038772984,0.0014658322,0.0000096288,0.00027579285,0.0005883622],"genre_scores_gemma":[0.98666865,0.000031256826,0.0124285,0.00015853875,0.00033747507,0.0002599921,0.0000017897856,0.000094172574,0.000019632467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976745,0.0002501746,0.000687081,0.00019032144,0.00044535517,0.00075253216],"domain_scores_gemma":[0.9970179,0.0020396619,0.00017093829,0.00050707307,0.00012569717,0.00013870836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002562263,0.0003592626,0.0005995519,0.0001858114,0.00004629227,0.0000462335,0.0003551483,0.00020463053,0.000012601285],"category_scores_gemma":[0.0013809316,0.00032106615,0.00012392175,0.0004606334,0.000022463495,0.0006609126,0.000013404013,0.00048807755,0.000025523466],"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":[0.000063791114,0.00007157728,0.0000653892,0.00020695207,0.00017601525,0.000015356029,0.00071091333,0.93245405,0.06579604,0.0001301818,0.00007171631,0.00023803329],"study_design_scores_gemma":[0.0015533329,0.00006665867,0.000065526736,0.00015346719,0.00018890803,0.00033992322,0.000088323824,0.9880675,0.0020062153,0.0000043712507,0.007128076,0.0003376836],"about_ca_topic_score_codex":0.00006597616,"about_ca_topic_score_gemma":0.0000012309786,"teacher_disagreement_score":0.9832757,"about_ca_system_score_codex":0.00023003275,"about_ca_system_score_gemma":0.000081074264,"threshold_uncertainty_score":0.9999241},"labels":[],"label_agreement":null},{"id":"W2009631040","doi":"10.1016/j.conengprac.2009.09.011","title":"Industrial implementation of controller performance analysis technology","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Toolbox; Identification (biology); Univariate; Controller (irrigation); Computer science; Control (management); Engineering; Control engineering; Multivariate statistics; Artificial intelligence; Machine learning","score_opus":0.006386718316162067,"score_gpt":0.23855169495981615,"score_spread":0.2321649766436541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009631040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4815171,0.0021555165,0.5036968,0.0022390035,0.0019501871,0.0017030205,0.000046297955,0.0027097014,0.0039823772],"genre_scores_gemma":[0.99949104,0.000032915537,0.00021467713,0.000059272912,0.00012615787,0.000037461945,0.000002897195,0.000016075524,0.000019477731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989533,0.000025629482,0.00044021878,0.00014600967,0.000183769,0.0002510793],"domain_scores_gemma":[0.999387,0.00013496357,0.00011401415,0.00020316805,0.000103948376,0.000056865527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032030157,0.00016859322,0.0004125192,0.00058174966,0.000031367163,0.00002626708,0.00013146846,0.00015145811,0.00002841548],"category_scores_gemma":[0.00015803103,0.00017618506,0.0001154992,0.0010669159,0.00000999008,0.00032164506,0.0000046414357,0.00025149842,0.000012893942],"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":[0.000079677135,0.0000198381,0.00058188,0.000014303869,0.0011011445,0.0000026522036,0.000058590816,0.9405787,0.01273253,0.00045360753,0.00008666401,0.044290423],"study_design_scores_gemma":[0.00394577,0.0001843707,0.0039540757,0.000011880423,0.00077492243,0.000014174556,0.00018029142,0.9719072,0.0020937773,0.000003965087,0.0167138,0.00021575014],"about_ca_topic_score_codex":0.000015406675,"about_ca_topic_score_gemma":0.0000024387111,"teacher_disagreement_score":0.51797396,"about_ca_system_score_codex":0.00006696163,"about_ca_system_score_gemma":0.00001553854,"threshold_uncertainty_score":0.7184618},"labels":[],"label_agreement":null},{"id":"W2018948410","doi":"10.1016/s0967-0661(02)00245-9","title":"Diagnosis of process valve actuator faults using a multilayer neural network","year":2003,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":68,"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":"Artificial neural network; Control theory (sociology); Actuator; Feed forward; Overshoot (microwave communication); Fault (geology); Process (computing); Valve actuator; Engineering; Control valves; Control engineering; Step response; Computer science; Artificial intelligence; Control (management)","score_opus":0.010229558080898874,"score_gpt":0.24630914250624353,"score_spread":0.23607958442534466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018948410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7790918,0.011481469,0.19362748,0.0001598318,0.00806265,0.0023623572,0.000043589323,0.0023682686,0.0028025848],"genre_scores_gemma":[0.99783134,0.00003037659,0.0015610129,0.0000942665,0.00023651445,0.00014758759,8.988747e-7,0.00008547416,0.000012515972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984948,0.00008539846,0.00046783936,0.00022719197,0.00026274798,0.00046201574],"domain_scores_gemma":[0.9985818,0.00069598184,0.00013519939,0.00029056327,0.00015073064,0.00014566987],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037830925,0.0002935202,0.0004298219,0.000105558225,0.000058567,0.000039360046,0.0001468489,0.00014595216,0.000034909834],"category_scores_gemma":[0.0012761648,0.0003072042,0.00017972702,0.00037250383,0.000014536697,0.0005003809,0.0000073872243,0.00032559887,0.000016878057],"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":[0.000037331396,0.000030449162,0.00023426478,0.00013725071,0.00026963148,0.000009112062,0.00014170873,0.99626195,0.0019776514,0.00007795897,0.00008899977,0.0007336865],"study_design_scores_gemma":[0.0016137534,0.000036173926,0.00019886867,0.00007899078,0.00018740585,0.000077302655,0.00011220367,0.9737517,0.0013193133,0.0000039980782,0.022303365,0.00031691222],"about_ca_topic_score_codex":0.000022820128,"about_ca_topic_score_gemma":0.0000026094003,"teacher_disagreement_score":0.21873958,"about_ca_system_score_codex":0.00008338562,"about_ca_system_score_gemma":0.000028169652,"threshold_uncertainty_score":0.999938},"labels":[],"label_agreement":null},{"id":"W2020316413","doi":"10.1016/j.conengprac.2009.09.001","title":"Min–max control using parametric approximate dynamic programming","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parametric statistics; Dynamic programming; Control theory (sociology); Parametric programming; Control (management); Computer science; Mathematics; Mathematical optimization; Artificial intelligence; Statistics","score_opus":0.005116964336238473,"score_gpt":0.2304891649077026,"score_spread":0.22537220057146412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020316413","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010112252,0.0032650647,0.9914338,0.00023299274,0.000683151,0.0011196707,0.000011726244,0.0017563632,0.00048598158],"genre_scores_gemma":[0.92745966,0.000048943537,0.071907535,0.00014813633,0.00019022368,0.00008962682,0.000008917485,0.000120576085,0.000026392094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765986,0.00007370551,0.00065580924,0.00041250716,0.00036796994,0.000830157],"domain_scores_gemma":[0.99822575,0.00064235955,0.00020206471,0.0005175421,0.00019901157,0.00021326674],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000531601,0.00049373787,0.00061857083,0.00040991177,0.00010625061,0.00020020663,0.0002778545,0.00021528342,0.0000060692128],"category_scores_gemma":[0.0013796255,0.00055613305,0.00014194564,0.0008306068,0.000018337223,0.0013234883,0.00001132427,0.00049982837,0.000025789781],"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":[0.00006420246,0.000050611645,0.00001007829,0.000064822816,0.00015967201,0.00004001135,0.0000447456,0.9785179,0.0041331416,0.00034634557,0.000010563132,0.016557915],"study_design_scores_gemma":[0.0030733454,0.00009890364,0.0000885324,0.00007103808,0.00026047643,0.000123547,0.000027160115,0.98856634,0.0000368584,0.0000278041,0.007070122,0.00055584905],"about_ca_topic_score_codex":0.000008526951,"about_ca_topic_score_gemma":7.3259383e-7,"teacher_disagreement_score":0.9264484,"about_ca_system_score_codex":0.0004168481,"about_ca_system_score_gemma":0.000030840183,"threshold_uncertainty_score":0.99968904},"labels":[],"label_agreement":null},{"id":"W2023008986","doi":"10.1016/j.conengprac.2014.12.003","title":"Robust distributed attitude synchronization of multiple three-DOF experimental helicopters","year":2015,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Synchronization (alternating current); Estimator; Tracking error; Controller (irrigation); Tracking (education); Computer science; Stability theory; Control engineering; Engineering; Control (management); Mathematics; Artificial intelligence; Topology (electrical circuits); Nonlinear system","score_opus":0.02939735538504327,"score_gpt":0.24069922385862672,"score_spread":0.21130186847358345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023008986","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018335732,0.0011177867,0.9943771,0.00055650284,0.001023243,0.00051417446,0.000049635284,0.00038847918,0.00013955162],"genre_scores_gemma":[0.9821677,0.0000029088394,0.01746967,0.00008040636,0.000121898425,0.00007745638,0.000041537325,0.000027698312,0.00001069102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798477,0.000109755354,0.00051467185,0.00042616806,0.00055563287,0.00040899837],"domain_scores_gemma":[0.9977516,0.00047269175,0.00034781755,0.0007271784,0.0004401051,0.0002606113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006909139,0.000271475,0.0003884089,0.00011824188,0.00005257808,0.00017084136,0.00078810373,0.00010767038,0.0000040403716],"category_scores_gemma":[0.0023755198,0.0002863657,0.00009492091,0.00042818274,0.000029434277,0.0016025282,0.00014314555,0.00018541828,0.000048576992],"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":[0.00008219797,0.0002517265,0.0006264478,0.000033947486,0.00018859138,0.000032970733,0.00024373812,0.99003553,0.0048523555,0.0024440342,0.00033062752,0.00087783195],"study_design_scores_gemma":[0.0041731237,0.00013027902,0.0007566971,0.00004946559,0.000047012898,0.000040903364,0.00008214367,0.9883682,0.001295245,0.0000032962241,0.004775813,0.00027777872],"about_ca_topic_score_codex":0.00018940103,"about_ca_topic_score_gemma":0.0000061703568,"teacher_disagreement_score":0.98033416,"about_ca_system_score_codex":0.00031506296,"about_ca_system_score_gemma":0.00012659654,"threshold_uncertainty_score":0.9999589},"labels":[],"label_agreement":null},{"id":"W2024717334","doi":"10.1016/j.conengprac.2004.04.012","title":"Simulation study of artificial ocular movement with intelligent control","year":2004,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Robotics and Sensor-Based Localization","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 Alberta; Dalhousie University","funders":"","keywords":"Movement (music); Movement control; Control engineering; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Engineering; Medicine; Physics","score_opus":0.008727890437748994,"score_gpt":0.2245357214787776,"score_spread":0.2158078310410286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024717334","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07607077,0.000097439224,0.92274404,0.000071495546,0.00018873141,0.000613558,0.0000032232722,0.0001705013,0.000040250576],"genre_scores_gemma":[0.99783075,0.0000046645623,0.0019347928,0.000069437934,0.00007915808,0.00002771834,0.0000037973653,0.000047446087,0.0000022318686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989588,0.000027475762,0.000364146,0.00015872382,0.0002910864,0.00019971402],"domain_scores_gemma":[0.9991324,0.00030549872,0.0000802003,0.00023941409,0.00017472976,0.0000677897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022125576,0.00018322967,0.0002462321,0.00011409093,0.000033176748,0.000037836544,0.00007926955,0.00005588844,0.0000062163112],"category_scores_gemma":[0.00027154855,0.00017615597,0.000036728867,0.00019596587,0.000009241579,0.0002159506,0.000005394341,0.00015211658,0.0000073750175],"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":[0.0001223188,0.00029271276,0.000042024545,0.000035455003,0.00025014588,0.000019594041,0.00034561384,0.9948277,0.0026899937,0.00083541847,0.000001118798,0.0005379357],"study_design_scores_gemma":[0.0025544611,0.00041670457,0.00022592563,0.000030079647,0.0001994174,0.0000020097625,0.00023726554,0.99474853,0.0011013559,0.000016876807,0.00027976013,0.0001875918],"about_ca_topic_score_codex":0.000042490366,"about_ca_topic_score_gemma":0.000009724101,"teacher_disagreement_score":0.92175996,"about_ca_system_score_codex":0.000110364854,"about_ca_system_score_gemma":0.000018345985,"threshold_uncertainty_score":0.7183432},"labels":[],"label_agreement":null},{"id":"W2028911756","doi":"10.1016/j.conengprac.2006.11.004","title":"Robust stabilization of nonlinear interconnected systems with application to an industrial utility boiler","year":2007,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":21,"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; Syncrude","keywords":"Control theory (sociology); Nonlinear system; Drum; Boiler (water heating); Engineering; Control engineering; Robust control; Natural circulation; Linear matrix inequality; Control system; Computer science; Mathematical optimization; Control (management); Mathematics","score_opus":0.020485615201954868,"score_gpt":0.22888294383982902,"score_spread":0.20839732863787414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028911756","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0678974,0.00017215265,0.9293679,0.00006172329,0.0005210963,0.0010765077,0.000026829779,0.000425302,0.0004511187],"genre_scores_gemma":[0.9970516,0.000002207463,0.0023813662,0.000026822803,0.00036414308,0.00009528149,0.000020303845,0.000052625543,0.000005672005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983863,0.00007337201,0.00060597504,0.0002906903,0.00031164874,0.00033200753],"domain_scores_gemma":[0.99791765,0.0008297989,0.00012713831,0.000518305,0.0004109761,0.00019611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015100832,0.00023444228,0.00039394636,0.00016705056,0.000033569875,0.000054972268,0.00020212254,0.00018026582,0.0000070674823],"category_scores_gemma":[0.0009775714,0.00022823295,0.000042042084,0.00047062966,0.00002009938,0.00059405953,0.000012199312,0.0002764639,0.0000071161617],"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":[0.00059721584,0.000078528996,0.0004982455,0.000117867596,0.00011084931,0.0000028091474,0.0003272999,0.98967,0.005077978,0.0002990453,0.000016653115,0.0032035478],"study_design_scores_gemma":[0.0017186287,0.00023556531,0.001154934,0.00007547241,0.00009071812,0.00001517268,0.00061776536,0.98239714,0.00045432948,8.624003e-7,0.012974453,0.00026494486],"about_ca_topic_score_codex":0.00021139342,"about_ca_topic_score_gemma":0.000077794844,"teacher_disagreement_score":0.92915416,"about_ca_system_score_codex":0.00014996671,"about_ca_system_score_gemma":0.000038546805,"threshold_uncertainty_score":0.930707},"labels":[],"label_agreement":null},{"id":"W2029617721","doi":"10.1016/j.conengprac.2009.10.003","title":"Development of on-line optimization-based control strategies for a starved-feed semibatch copolymerization reactor","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","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":"Queen's University","funders":"","keywords":"Copolymer; Styrene; Materials science; Nonlinear system; Constraint (computer-aided design); Polymerization; Computer science; Polymer; Chemical engineering; Polymer chemistry; Engineering; Mechanical engineering; Composite material; Physics","score_opus":0.010344003374186596,"score_gpt":0.24249520007668884,"score_spread":0.23215119670250225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029617721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018235472,0.00035293656,0.9964624,0.0003174009,0.00035274614,0.0011853446,0.000052747706,0.0006190544,0.00047501735],"genre_scores_gemma":[0.85947734,0.000009820873,0.13979767,0.00020761542,0.00013218525,0.00019989826,0.00008444088,0.00007836295,0.000012654015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822605,0.000039942413,0.0007707416,0.00028145578,0.00029862992,0.0003831816],"domain_scores_gemma":[0.9978865,0.0010042601,0.00028373353,0.00032438585,0.00038994118,0.00011118653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003695792,0.00036339648,0.0005072733,0.00021838184,0.000068512716,0.00007694367,0.00017584267,0.00015914107,0.000009224153],"category_scores_gemma":[0.0008186188,0.00039987423,0.000086828295,0.0002916109,0.000013396235,0.0007291287,0.0000027197696,0.000178347,0.0000031803938],"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":[0.00048028526,0.00007696608,9.493627e-7,0.00009288166,0.0001666471,0.000001545544,0.00014925649,0.97197086,0.024136458,0.0012029184,0.000025476145,0.0016957354],"study_design_scores_gemma":[0.0053661605,0.00020837846,0.000012308165,0.00009762764,0.0001185297,0.000002132059,0.00008389185,0.9879263,0.0027839781,0.000009378954,0.0030258112,0.00036547755],"about_ca_topic_score_codex":0.0000022919871,"about_ca_topic_score_gemma":0.0000015024456,"teacher_disagreement_score":0.859295,"about_ca_system_score_codex":0.00019103847,"about_ca_system_score_gemma":0.0001752592,"threshold_uncertainty_score":0.9998453},"labels":[],"label_agreement":null},{"id":"W2039154706","doi":"10.1016/j.conengprac.2013.04.004","title":"Robust formation control without velocity measurement of the leader robot","year":2013,"lang":"en","type":"article","venue":"Control Engineering Practice","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Trajectory; Backstepping; Controller (irrigation); Robot; Mobile robot; Tracking (education); Control engineering; Computer science; Lyapunov function; Artificial neural network; Engineering; Control (management); Adaptive control; Artificial intelligence; Nonlinear system","score_opus":0.028949218111052912,"score_gpt":0.20809161133456808,"score_spread":0.17914239322351516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039154706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027991208,0.00034459255,0.9908266,0.005864617,0.00083962106,0.0012149286,0.000006150899,0.00020318016,0.00042041173],"genre_scores_gemma":[0.99235624,0.00000282757,0.006829907,0.00043930896,0.00009694917,0.00021191435,9.3235184e-7,0.000018885088,0.000043061016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757403,0.00025241746,0.0005705014,0.0002959651,0.00088915764,0.00041794736],"domain_scores_gemma":[0.9971638,0.000432014,0.0004968428,0.00088671985,0.0009057416,0.00011491128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013843816,0.0002449518,0.00036641138,0.000076221986,0.00010583482,0.00023564238,0.0010286045,0.00009832671,0.000008524971],"category_scores_gemma":[0.0023383845,0.00018827079,0.00014293463,0.00030586804,0.000027716664,0.002402703,0.00008091756,0.0003033028,0.00008625819],"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":[0.000030897554,0.0001285816,0.00020576363,0.000096464995,0.00029576404,0.000002277021,0.00029843682,0.96431655,0.025511477,0.004216935,0.00072126347,0.0041756197],"study_design_scores_gemma":[0.0028925678,0.000035302648,0.008344303,0.00007349166,0.00008849224,0.000027464406,0.000039624025,0.9830727,0.00062165817,0.0000118396,0.0045851283,0.00020745587],"about_ca_topic_score_codex":0.00015123846,"about_ca_topic_score_gemma":0.000005039608,"teacher_disagreement_score":0.9920763,"about_ca_system_score_codex":0.00022481818,"about_ca_system_score_gemma":0.00009163166,"threshold_uncertainty_score":0.767746},"labels":[],"label_agreement":null},{"id":"W2040267779","doi":"10.1016/j.conengprac.2007.02.009","title":"Feedback linearization based control of a rotational hydraulic drive","year":2007,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":87,"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); Feedback linearization; Displacement (psychology); Nonlinear system; Test bench; Linearization; Differential (mechanical device); Engineering; Control engineering; Rotational speed; Control system; Tracking (education); Control (management); Computer science; Physics; Mechanical engineering","score_opus":0.0053177333499745474,"score_gpt":0.21202192303897702,"score_spread":0.20670418968900248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040267779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018752146,0.00039876057,0.99151057,0.00023063713,0.0005787382,0.00040353136,0.000016577695,0.00032447343,0.004661521],"genre_scores_gemma":[0.9952134,0.000006764309,0.004155806,0.00023808818,0.00025442275,0.000031556498,0.000015729645,0.000055535587,0.000028705803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985847,0.000041793963,0.000570342,0.00015705408,0.0003327233,0.00031341473],"domain_scores_gemma":[0.99733496,0.0019510326,0.00014328431,0.0002415162,0.00020325044,0.0001259728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091696356,0.00021087642,0.0003349965,0.00017556075,0.00003224163,0.00002955393,0.00014070095,0.00013295082,0.000041045678],"category_scores_gemma":[0.0011539836,0.00022617842,0.00008748257,0.0002922322,0.000019292998,0.0003109125,0.000004024662,0.0002148878,0.00005735128],"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":[0.000059393948,0.000031851992,0.00013838668,0.00012634964,0.00014933156,0.0000099617555,0.00016559311,0.9898219,0.0071486165,0.0005549748,0.0001107278,0.0016829204],"study_design_scores_gemma":[0.0023848072,0.000044876644,0.001994351,0.00007828026,0.00009407605,0.000020367883,0.000045699915,0.9775238,0.0010050841,0.0000051135726,0.016591294,0.00021225221],"about_ca_topic_score_codex":0.000020208632,"about_ca_topic_score_gemma":0.000002226093,"teacher_disagreement_score":0.99333817,"about_ca_system_score_codex":0.00007896933,"about_ca_system_score_gemma":0.000041303872,"threshold_uncertainty_score":0.9223288},"labels":[],"label_agreement":null},{"id":"W2040797923","doi":"10.1016/s0967-0661(00)00105-2","title":"Preface to the Special Section on Space Robotics","year":2001,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Space Satellite Systems and Control","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":"Carleton University","funders":"","keywords":"Section (typography); Special section; Robotics; Artificial intelligence; Space (punctuation); Computer science; Engineering; Robot; Engineering physics; Operating system","score_opus":0.005794519869435312,"score_gpt":0.2018323262248964,"score_spread":0.19603780635546111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040797923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00280288,0.001275373,0.9157376,0.016942361,0.015333657,0.0014957027,0.000010941913,0.0013569853,0.04504447],"genre_scores_gemma":[0.9842043,0.00012698771,0.0008581729,0.0006025899,0.012724828,0.00009075947,0.0000015303641,0.00009386343,0.0012969591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988501,0.00004513047,0.00021812228,0.00021156322,0.00027276497,0.000402332],"domain_scores_gemma":[0.99883634,0.000479585,0.000041231593,0.0004266366,0.00007810639,0.0001381153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038995213,0.00024822154,0.00022146456,0.00009950211,0.00008484487,0.00013483693,0.00019780344,0.000102942,0.000033189102],"category_scores_gemma":[0.00049875083,0.00020462384,0.00007740266,0.00032615662,0.0000064551514,0.0002525404,0.0000141368155,0.00041492935,0.00045640438],"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":[0.0000822485,0.000016201686,0.00001411818,0.000012604152,0.000095964424,0.000019913961,0.00019792916,0.9878784,0.0009013248,0.0016643335,0.005989272,0.0031277023],"study_design_scores_gemma":[0.0005156861,0.000069331174,0.00038637887,0.000024579793,0.00004766247,0.000054642736,0.00007708344,0.28541824,0.0000479703,0.0000020114912,0.7131634,0.00019305953],"about_ca_topic_score_codex":0.000027475306,"about_ca_topic_score_gemma":0.000023776138,"teacher_disagreement_score":0.98140144,"about_ca_system_score_codex":0.00014942953,"about_ca_system_score_gemma":0.000012959126,"threshold_uncertainty_score":0.83443177},"labels":[],"label_agreement":null},{"id":"W2045301811","doi":"10.1016/j.conengprac.2014.09.012","title":"MPC enhancement for tracking of complex profiles — The basic technique","year":2014,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","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 New Brunswick","funders":"","keywords":"Tracking (education); Control theory (sociology); Computer science; Control engineering; Engineering; Artificial intelligence; Control (management); Psychology","score_opus":0.009852462868603928,"score_gpt":0.23427275212739723,"score_spread":0.22442028925879332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045301811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000962771,0.0003309766,0.9963254,0.00028960744,0.00028497042,0.0014106702,0.000009703972,0.0003038302,0.0009485948],"genre_scores_gemma":[0.94895446,0.00001694571,0.049667656,0.000070251954,0.00019595055,0.0009985553,0.0000074648015,0.000063966676,0.000024741008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989824,0.00004951695,0.0003898871,0.00015794022,0.00015725975,0.00026295177],"domain_scores_gemma":[0.99787,0.0014235972,0.00014489393,0.00033401532,0.00018763826,0.00003985238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076093205,0.00018848375,0.00028736505,0.000068692396,0.00005647454,0.000032396547,0.00020183431,0.00007112125,0.0000069890652],"category_scores_gemma":[0.0013029265,0.00016267558,0.000074380485,0.00013441248,0.00001737393,0.00033691718,0.0000117538,0.00015751571,0.0000036303084],"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":[0.00003066658,0.000013025679,0.0000032485143,0.00017186116,0.00007880503,2.207764e-7,0.000060189985,0.8844059,0.10736041,0.0033214379,0.00008227127,0.004471926],"study_design_scores_gemma":[0.00091831153,0.00005769348,0.00006392653,0.00006302859,0.00007850382,0.000008553282,0.00002483922,0.9367636,0.010405744,0.000040252562,0.051404834,0.00017070393],"about_ca_topic_score_codex":0.000003808154,"about_ca_topic_score_gemma":6.2262507e-7,"teacher_disagreement_score":0.9488582,"about_ca_system_score_codex":0.00006620182,"about_ca_system_score_gemma":0.000010417843,"threshold_uncertainty_score":0.6633718},"labels":[],"label_agreement":null},{"id":"W2048521160","doi":"10.1016/j.conengprac.2003.09.013","title":"A neuro-fuzzy system for looper tension control in rolling mills","year":2004,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scrap; Control theory (sociology); Control engineering; Fuzzy logic; Fuzzy control system; Engineering; Rolling mill; Tension (geology); Controller (irrigation); Line (geometry); Control (management); Control system; Computer science; Mechanical engineering; Mathematics; Artificial intelligence; Materials science","score_opus":0.006009934490765423,"score_gpt":0.19908767737571972,"score_spread":0.1930777428849543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048521160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018776432,0.00095230294,0.9747379,0.00034538753,0.002661366,0.0010377081,0.000018444982,0.0008249652,0.0006454994],"genre_scores_gemma":[0.9947659,0.000034374254,0.0044051087,0.00023220487,0.00027936845,0.00017327626,0.000005046759,0.00009188093,0.000012854892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986617,0.000027661154,0.00043976467,0.00024369695,0.00014854954,0.00047860123],"domain_scores_gemma":[0.9988347,0.00066122814,0.00006315271,0.00024536808,0.00008698259,0.0001085154],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000627116,0.00027177928,0.00042482666,0.00017253785,0.000055729233,0.00007353789,0.00014642629,0.00014501886,0.0000042050606],"category_scores_gemma":[0.0009548797,0.00027589122,0.00009661466,0.00016195863,0.0000082195775,0.00057932513,0.000012123097,0.00025431602,0.000043045173],"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":[0.00015210618,0.000018114606,0.0000024499293,0.00026369307,0.00006883023,0.000054468084,0.000070657865,0.9094302,0.08780012,0.0018063775,0.00001800274,0.0003149532],"study_design_scores_gemma":[0.0081963,0.00008106328,0.000049931525,0.0003018257,0.00016278955,0.0001405727,0.00006506949,0.9608995,0.0021957261,0.000031406566,0.027438061,0.00043777426],"about_ca_topic_score_codex":0.000035980705,"about_ca_topic_score_gemma":0.0000038199387,"teacher_disagreement_score":0.97598946,"about_ca_system_score_codex":0.00017109019,"about_ca_system_score_gemma":0.00002573387,"threshold_uncertainty_score":0.9999693},"labels":[],"label_agreement":null},{"id":"W2052123557","doi":"10.1016/j.conengprac.2008.01.007","title":"Sensitivity analysis for selective constraint and variability tuning in performance assessment of industrial MPC","year":2008,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"","keywords":"Sensitivity (control systems); Constraint (computer-aided design); Model predictive control; Process (computing); Computer science; Control theory (sociology); Control engineering; Mathematical optimization; Control (management); Engineering; Mathematics; Artificial intelligence","score_opus":0.013065331333281834,"score_gpt":0.24132211428696115,"score_spread":0.22825678295367932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052123557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06536894,0.000052026466,0.9334457,0.000036130732,0.00012026052,0.00055416994,0.000020055733,0.00010515826,0.00029753518],"genre_scores_gemma":[0.97921395,0.000029248356,0.020578088,0.000007838636,0.000056810713,0.00008430017,0.000006245424,0.000021680273,0.0000018406687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989355,0.000106384236,0.00038919877,0.00021041023,0.00013002416,0.00022844972],"domain_scores_gemma":[0.9974749,0.0020128267,0.0001187851,0.00016812884,0.00017003129,0.00005534701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012273099,0.0001664185,0.00047626867,0.00022716232,0.000041329768,0.000011510273,0.00004176754,0.000113871974,0.0000010073247],"category_scores_gemma":[0.001680824,0.0001929202,0.000058839618,0.0004918129,0.000038401115,0.00048962864,0.000010739994,0.00027722737,1.16060455e-7],"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":[0.00005304013,0.000021834872,0.018550238,0.000049803806,0.00039890799,0.0000042675556,0.00012273242,0.97777945,0.0020645338,0.0002304634,0.0000014702949,0.0007232748],"study_design_scores_gemma":[0.0020063978,0.000046170666,0.028011877,0.000024954665,0.00023792194,0.000024622936,0.000026594304,0.969264,0.00012230809,0.000002935303,0.000070516435,0.00016175391],"about_ca_topic_score_codex":0.000029127566,"about_ca_topic_score_gemma":0.0000065463905,"teacher_disagreement_score":0.913845,"about_ca_system_score_codex":0.00019955833,"about_ca_system_score_gemma":0.000055669414,"threshold_uncertainty_score":0.78670573},"labels":[],"label_agreement":null},{"id":"W2054820505","doi":"10.1016/s0967-0661(00)00033-2","title":"Development of a two-step segregated model for the optimization of plant cell growth","year":2000,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","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":"Université du Québec à Trois-Rivières; Polytechnique Montréal","funders":"","keywords":"Biomass (ecology); Bioreactor; Growth rate; Exponential growth; Suspension culture; Biological system; Growth model; Cell growth; Pulp and paper industry; Mathematics; Biology; Environmental science; Botany; Cell culture; Ecology; Engineering; Biochemistry","score_opus":0.00774196673428575,"score_gpt":0.21209517541347417,"score_spread":0.2043532086791884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054820505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038931887,0.0010224873,0.9945424,0.000109224784,0.000035314497,0.00022557884,0.000035870744,0.0000065241006,0.00012941519],"genre_scores_gemma":[0.89877564,0.00016262902,0.10025824,0.00005852751,0.0000638241,0.000039791044,0.00016552742,0.000012213876,0.00046363345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962425,0.000009775703,0.00015085042,0.00008622815,0.000055042616,0.0000738589],"domain_scores_gemma":[0.99967796,0.00004741181,0.0000749194,0.00008536996,0.00009770471,0.00001664662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000130056,0.00006752236,0.00007968099,0.0000115640005,0.000031845862,0.000005175034,0.000066986046,0.00005003664,0.0000028523325],"category_scores_gemma":[0.000078212404,0.00004899548,0.00002724818,0.000029892883,0.000007278368,0.0000067862848,0.000005416685,0.000030705913,3.9130973e-7],"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":[0.00010253094,0.000020646461,5.632277e-7,0.000020044843,0.000047514495,1.3148082e-7,0.000081917,0.7345482,0.26458138,0.000040362844,0.00015877758,0.00039792858],"study_design_scores_gemma":[0.0007259067,0.000024779329,0.0000020853286,0.0000072677794,0.00005695985,0.000005426916,0.000009527052,0.8532629,0.12852505,2.2040393e-7,0.017324593,0.000055253477],"about_ca_topic_score_codex":0.000009662082,"about_ca_topic_score_gemma":0.0000092918,"teacher_disagreement_score":0.89488244,"about_ca_system_score_codex":0.000005002427,"about_ca_system_score_gemma":0.00006130378,"threshold_uncertainty_score":0.19979776},"labels":[],"label_agreement":null},{"id":"W2063987874","doi":"10.1016/j.conengprac.2009.09.012","title":"Robust control of multistage printing systems","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Control (management); Control system; Control engineering; Computer science; Engineering; Process engineering; Artificial intelligence; Electrical engineering","score_opus":0.006519912534596883,"score_gpt":0.1969605606304773,"score_spread":0.1904406480958804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063987874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006993476,0.00096767856,0.9944365,0.00016998433,0.00030103652,0.00020913756,0.000010729812,0.00045197862,0.002753587],"genre_scores_gemma":[0.9963346,0.0000313611,0.0033026023,0.00009152621,0.00011079784,0.000012305667,0.0000040862465,0.000028114113,0.00008460955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989518,0.00003508357,0.00042112218,0.00015070957,0.00019398649,0.00024729903],"domain_scores_gemma":[0.99906087,0.00035659337,0.000111452464,0.0002636409,0.000119180135,0.00008824198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003649528,0.000181495,0.00035095506,0.00014077757,0.00003118467,0.000059780512,0.00013421467,0.00008819718,0.000014427679],"category_scores_gemma":[0.0006131468,0.0001923406,0.000095452706,0.00021233545,0.000009158851,0.000417237,0.0000049191303,0.0002172106,0.000017179907],"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":[0.000014880785,0.000021872012,0.000043783755,0.000053220665,0.00016429019,0.0000104174205,0.000051145278,0.9920567,0.0040531917,0.00244585,0.00004543943,0.0010391853],"study_design_scores_gemma":[0.0011684682,0.000027548662,0.00066828815,0.000034473826,0.00015694505,0.00001631486,0.000050342627,0.99276173,0.00005968525,0.0000015681929,0.0048729205,0.00018170089],"about_ca_topic_score_codex":0.000013989829,"about_ca_topic_score_gemma":6.425411e-7,"teacher_disagreement_score":0.9956353,"about_ca_system_score_codex":0.00005528126,"about_ca_system_score_gemma":0.000012376827,"threshold_uncertainty_score":0.78434217},"labels":[],"label_agreement":null},{"id":"W2067210191","doi":"10.1016/j.conengprac.2009.11.007","title":"On quantitative feedback design for robust position control of hydraulic actuators","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":38,"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":"Quantitative feedback theory; Control theory (sociology); Actuator; Robustness (evolution); Plant; Nonlinear system; Control engineering; Robust control; Engineering; Hydraulic cylinder; Hydraulic machinery; Position (finance); Electro-hydraulic actuator; Control system; Computer science; Control (management); Mechanical engineering","score_opus":0.017828568649153068,"score_gpt":0.24169276083410787,"score_spread":0.2238641921849548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067210191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007921631,0.0004994403,0.9951994,0.0005773662,0.00045728142,0.000986607,0.000025962574,0.00030888212,0.0011528862],"genre_scores_gemma":[0.9765017,0.000020028776,0.022836149,0.00036365644,0.000107796055,0.00009249644,0.0000066508383,0.000052485513,0.000019010919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870306,0.0000799906,0.00046159173,0.00019651679,0.00022322993,0.00033562403],"domain_scores_gemma":[0.9956582,0.003680865,0.00014661715,0.00026399657,0.00014080288,0.0001094915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006570194,0.00027536467,0.00047338716,0.00015098913,0.000044950022,0.000039484305,0.00015622344,0.00013572974,0.000011118334],"category_scores_gemma":[0.0014936341,0.00027596753,0.0001239583,0.00017364883,0.000013009204,0.0003613419,0.0000024676192,0.00019130569,0.0000367434],"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":[0.00029793062,0.00005293268,6.8855064e-7,0.00009177994,0.00021523332,0.000004625119,0.00028191155,0.98510736,0.0029717297,0.0077617816,0.0006858022,0.0025282034],"study_design_scores_gemma":[0.0027182114,0.0006642739,0.00010399822,0.00014832459,0.00016518254,0.000021077458,0.0000657806,0.992889,0.0006165688,0.00012227516,0.0022144953,0.00027082136],"about_ca_topic_score_codex":0.0000057889083,"about_ca_topic_score_gemma":2.2296457e-7,"teacher_disagreement_score":0.97570956,"about_ca_system_score_codex":0.00009490998,"about_ca_system_score_gemma":0.000024878775,"threshold_uncertainty_score":0.99996924},"labels":[],"label_agreement":null},{"id":"W2068834278","doi":"10.1016/j.conengprac.2013.02.017","title":"Control of diesel engine dual-loop EGR air-path systems by a singular perturbation method","year":2013,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Combustion Engine Technologies","field":"Chemical 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":"McMaster University","funders":"National Science Foundation","keywords":"Inlet manifold; Exhaust gas recirculation; Control theory (sociology); Exhaust manifold; Dual loop; Diesel engine; Automotive engineering; Diesel fuel; Path (computing); Perturbation (astronomy); Control system; Environmental science; Loop (graph theory); Engineering; Internal combustion engine; Mathematics; Physics; Computer science; Control (management)","score_opus":0.005513645300391282,"score_gpt":0.23346978530092974,"score_spread":0.22795614000053846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068834278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000912261,0.0033249736,0.9914116,0.0011966357,0.00044741994,0.0008015214,0.000038633643,0.0015654479,0.00030148626],"genre_scores_gemma":[0.94687897,0.000051756884,0.051630054,0.0001251946,0.00013741209,0.00041290314,0.000020579391,0.00012581448,0.0006173108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99758434,0.00008946391,0.0007716619,0.0004678123,0.0004673706,0.00061932363],"domain_scores_gemma":[0.9955237,0.0026882642,0.00037606852,0.00070146535,0.0005461357,0.00016437337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005705019,0.0004911425,0.0007699606,0.00024446138,0.000059869457,0.00005314909,0.00035121155,0.0003183277,0.0000389303],"category_scores_gemma":[0.008277754,0.00049100333,0.00015044627,0.00046011555,0.000042460506,0.0010581693,0.000061019597,0.00073749165,0.000055323006],"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":[0.000036152906,0.00007370196,0.0000047020526,0.00016278563,0.0002545711,0.000008238972,0.00004942004,0.85281205,0.13818948,0.0062011704,0.0004376977,0.0017700468],"study_design_scores_gemma":[0.0022743195,0.000100134836,0.000019951887,0.000114285795,0.00020230119,0.00006139973,0.00014230519,0.9743472,0.005605291,0.000049805865,0.016605027,0.00047799476],"about_ca_topic_score_codex":0.00009568211,"about_ca_topic_score_gemma":6.54117e-8,"teacher_disagreement_score":0.9459667,"about_ca_system_score_codex":0.00021158069,"about_ca_system_score_gemma":0.000028796485,"threshold_uncertainty_score":0.9997542},"labels":[],"label_agreement":null},{"id":"W2073910951","doi":"10.1016/j.conengprac.2009.07.002","title":"New adaptive approaches to real-time estimation of vehicle sideslip angle","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Yaw; Control theory (sociology); Euler angles; Acceleration; Slip angle; Stiffness; Vehicle dynamics; Engineering; Angle of attack; Identification (biology); SIGNAL (programming language); Computer science; Steering wheel; Automotive engineering; Artificial intelligence; Control (management); Mathematics; Structural engineering","score_opus":0.015400361865926797,"score_gpt":0.19802676198928532,"score_spread":0.1826264001233585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073910951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010985335,0.00034085184,0.9778015,0.00090073625,0.00020857184,0.00054249394,0.000012616553,0.00055750407,0.008650418],"genre_scores_gemma":[0.97738844,0.000009519567,0.02216508,0.000053869106,0.00014881337,0.000020534057,0.0000041403077,0.000040478095,0.00016909983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893475,0.000028269895,0.00034348335,0.00018975468,0.00020998498,0.0002937841],"domain_scores_gemma":[0.99910754,0.00028904423,0.000076146294,0.00029282767,0.000054105472,0.00018032388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030360004,0.0002076999,0.00034305704,0.00012495535,0.0000253798,0.000047146947,0.0001666756,0.000095419906,0.000009931267],"category_scores_gemma":[0.00020631691,0.00022989925,0.00007422173,0.00026477105,0.000004487977,0.00040953103,0.000010222363,0.00015644681,0.00005936363],"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":[0.00006778289,0.000021714868,0.000002604612,0.000015559492,0.0000834267,0.000005168243,0.00015843996,0.9493356,0.021188695,0.0040535857,0.00026255334,0.024804914],"study_design_scores_gemma":[0.0008420567,0.00017389953,0.00068773254,0.00004479996,0.00007120673,0.000011748356,0.000027273094,0.9967296,0.00034166107,0.000060154285,0.0007835024,0.00022637378],"about_ca_topic_score_codex":0.00010036944,"about_ca_topic_score_gemma":0.0000018417262,"teacher_disagreement_score":0.9664031,"about_ca_system_score_codex":0.000093730305,"about_ca_system_score_gemma":0.00002886125,"threshold_uncertainty_score":0.9375019},"labels":[],"label_agreement":null},{"id":"W2077211990","doi":"10.1016/j.conengprac.2004.07.005","title":"Comparative study of pole placement methods in adaptive flux observers","year":2004,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":25,"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 New Brunswick","funders":"","keywords":"Control theory (sociology); Full state feedback; Flux (metallurgy); Mathematics; Computer science; Artificial intelligence; Materials science; Control (management)","score_opus":0.030816089989908205,"score_gpt":0.31544991854435883,"score_spread":0.28463382855445063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077211990","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36196283,0.0018908727,0.63000894,0.00014855775,0.0007572902,0.0021691157,0.000008042038,0.00049851596,0.002555849],"genre_scores_gemma":[0.97090876,0.0000091754355,0.028827155,0.000031673975,0.000045763332,0.00011477834,0.0000013333422,0.00004528184,0.000016066313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839276,0.00015277391,0.0005313141,0.00025400985,0.00027133856,0.0003978302],"domain_scores_gemma":[0.9980303,0.0013242367,0.00011845656,0.00032000834,0.00010872037,0.00009827118],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006481275,0.0002945895,0.0006384709,0.00029778873,0.000023368359,0.000021834576,0.00021534538,0.00008335262,0.000012324077],"category_scores_gemma":[0.0005299489,0.0003263812,0.00006693511,0.00052809156,0.000015188881,0.00042412052,0.000020507587,0.0004352942,0.000011636439],"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":[0.00019914575,0.0003014972,0.000047369078,0.000021831094,0.00041930596,0.000032883774,0.0021245605,0.98682594,0.008990144,0.00042721815,0.000014807565,0.00059530424],"study_design_scores_gemma":[0.015847495,0.0010558782,0.0061986363,0.000081917766,0.00027698185,0.000016726432,0.0044192057,0.96482354,0.005078665,0.0000194343,0.0016016716,0.0005798725],"about_ca_topic_score_codex":0.00019871496,"about_ca_topic_score_gemma":0.000041994484,"teacher_disagreement_score":0.6089459,"about_ca_system_score_codex":0.0003972358,"about_ca_system_score_gemma":0.00004327096,"threshold_uncertainty_score":0.9999188},"labels":[],"label_agreement":null},{"id":"W2082159192","doi":"10.1016/j.conengprac.2015.01.008","title":"Digital versus analog control of bilateral teleoperation systems: A task performance comparison","year":2015,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Teleoperation and Haptic 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 Alberta","funders":"","keywords":"Teleoperation; Task (project management); Control (management); Computer science; Control engineering; Control theory (sociology); Engineering; Artificial intelligence; Systems engineering","score_opus":0.01781329425688723,"score_gpt":0.23073790169052036,"score_spread":0.21292460743363312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082159192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.120419756,0.0039698253,0.8536178,0.00019135598,0.006441039,0.00114953,0.00009020412,0.0011778013,0.012942728],"genre_scores_gemma":[0.9992652,0.000013996357,0.00022154258,0.000020001396,0.0002890452,0.0000550168,0.000017625547,0.00004258344,0.000074992655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986437,0.000040148938,0.0005678996,0.0001672081,0.0003141156,0.00026695002],"domain_scores_gemma":[0.99883956,0.00034218715,0.00010755757,0.00026189533,0.0002835562,0.0001652452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039433164,0.00022618956,0.00043397537,0.00013782705,0.000031670326,0.00020094062,0.0001441022,0.00010924406,0.000004978265],"category_scores_gemma":[0.0006057813,0.00022238043,0.00005394223,0.00018513206,0.000017617327,0.0011496568,0.000009340507,0.00020916112,0.000077512144],"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":[0.00023337343,0.000030784824,0.00052821025,0.000094934876,0.00019421717,0.0000045840343,0.00031003784,0.9955383,0.0009624656,0.00036292788,0.0003458846,0.0013943111],"study_design_scores_gemma":[0.004610471,0.00020906626,0.00025895986,0.000046760768,0.000080665755,0.000034548604,0.00023661809,0.9553056,0.000074152966,1.1865232e-7,0.038915176,0.00022787835],"about_ca_topic_score_codex":0.000019507295,"about_ca_topic_score_gemma":0.0000017515945,"teacher_disagreement_score":0.87884545,"about_ca_system_score_codex":0.00013036243,"about_ca_system_score_gemma":0.00004834013,"threshold_uncertainty_score":0.9068411},"labels":[],"label_agreement":null},{"id":"W2085396454","doi":"10.1016/j.conengprac.2010.10.006","title":"A decoupled multiple model approach for soft sensors design","year":2010,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Soft sensor; Sampling (signal processing); Computer science; Product (mathematics); Process engineering; Real-time computing; Quality (philosophy); Variable (mathematics); Data mining; Engineering; Mathematics; Computer vision","score_opus":0.012129022351391069,"score_gpt":0.21929759320917042,"score_spread":0.20716857085777934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085396454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015106559,0.0001785331,0.9943394,0.000082459184,0.0009924294,0.0010305222,0.000017418319,0.0012456719,0.000602882],"genre_scores_gemma":[0.8862865,0.000006102589,0.11239666,0.000081377126,0.00030841204,0.0006668237,0.000005012123,0.000111521105,0.000137595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987336,0.000026825663,0.00033240227,0.0002748746,0.00017833195,0.00045399545],"domain_scores_gemma":[0.9979564,0.0013123098,0.00006241382,0.00036548558,0.00012964274,0.00017376375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006886938,0.00029107305,0.0003336572,0.00012638849,0.00008551858,0.00010955697,0.00019334178,0.00021546574,0.000005815144],"category_scores_gemma":[0.002122939,0.00030647498,0.00013612126,0.00013765825,0.0000129070795,0.00040876912,0.000009010702,0.00049597444,0.000022964074],"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":[0.00012111883,0.000028609153,0.0000022183253,0.000072980496,0.00013276078,0.0000019600438,0.000077619254,0.9291879,0.06896333,0.00018262357,0.00034209507,0.00088677125],"study_design_scores_gemma":[0.0027874922,0.0000314339,0.0000065527447,0.000006518545,0.00009416059,0.000056336652,0.00003783141,0.97627866,0.0008167239,0.0000073876645,0.019531967,0.00034494288],"about_ca_topic_score_codex":0.000008849763,"about_ca_topic_score_gemma":0.000003196685,"teacher_disagreement_score":0.8847758,"about_ca_system_score_codex":0.000048459777,"about_ca_system_score_gemma":0.000029211567,"threshold_uncertainty_score":0.9999387},"labels":[],"label_agreement":null},{"id":"W2088732121","doi":"10.1016/s0967-0661(02)00213-7","title":"Designing plant experiments for real-time optimization systems","year":2003,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","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":"McMaster University","funders":"","keywords":"Profit (economics); Design of experiments; Offset (computer science); Mathematical optimization; Engineering; Time horizon; Computer science; Control theory (sociology); Mathematics; Economics; Artificial intelligence; Statistics","score_opus":0.008426266972137705,"score_gpt":0.22141847400562742,"score_spread":0.2129922070334897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088732121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003732478,0.0012359781,0.99290675,0.00001558163,0.0010448052,0.0011645873,0.00002381517,0.0009922673,0.0025789193],"genre_scores_gemma":[0.6271635,0.00018070787,0.3702408,0.000040338356,0.0003442043,0.0013811871,0.00007104631,0.00030463948,0.00027353404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986042,0.0000723955,0.00044160135,0.0002599157,0.00019031139,0.00043161015],"domain_scores_gemma":[0.99851364,0.00079122774,0.00012623449,0.00028745053,0.00016120866,0.00012021887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049625145,0.00029046604,0.00035858114,0.00013161893,0.00008463055,0.000121407145,0.0001193791,0.00013712619,0.000009435324],"category_scores_gemma":[0.0011298434,0.00033405548,0.000062877,0.00016588603,0.000006634384,0.00082116685,0.00000529947,0.00012602014,0.000020270516],"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":[0.000038506336,0.000014766226,0.0000018150313,0.00007563945,0.00014705026,0.0000047449407,0.00006651612,0.9766797,0.021269156,0.0014765922,0.00018321448,0.000042299296],"study_design_scores_gemma":[0.001968689,0.000043491986,9.606923e-7,0.00006186279,0.000094179806,0.000044577188,0.000049223283,0.9821393,0.0011089263,0.0000022140284,0.014149401,0.00033721275],"about_ca_topic_score_codex":0.0000058510127,"about_ca_topic_score_gemma":7.20231e-8,"teacher_disagreement_score":0.6271262,"about_ca_system_score_codex":0.000224481,"about_ca_system_score_gemma":0.000024229166,"threshold_uncertainty_score":0.9999111},"labels":[],"label_agreement":null},{"id":"W2089903253","doi":"10.1016/j.conengprac.2008.03.003","title":"High dynamics control under voltage/current and harmonic constraints: SM-PMSM application for AC railways","year":2008,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Nottingham; Lakehead University; Areva","keywords":"Harmonic; Control theory (sociology); Voltage; Current (fluid); Dynamics (music); Control (management); Control engineering; Engineering; Computer science; Electrical engineering; Physics; Acoustics","score_opus":0.007439036876986378,"score_gpt":0.2068998761042377,"score_spread":0.19946083922725133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089903253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007888507,0.0032074724,0.9858269,0.00031812,0.001085205,0.0007636267,0.00008637516,0.00056841935,0.00025536297],"genre_scores_gemma":[0.9971884,0.00035803558,0.0014762257,0.00009975089,0.00032550882,0.0003890677,0.000030110104,0.00008828326,0.000044644155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984941,0.000024205661,0.0004441748,0.00034790387,0.00020212917,0.00048750546],"domain_scores_gemma":[0.99842316,0.00080550375,0.00011300747,0.0003324351,0.0001492848,0.00017659356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041194816,0.00033503096,0.0004198626,0.00012455217,0.00015152118,0.000058713103,0.00017137216,0.00015199464,0.0000068637564],"category_scores_gemma":[0.0003636314,0.00035424918,0.00009299867,0.00016333933,0.00007310974,0.00041422073,0.000014406484,0.00031761857,0.00001638716],"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":[0.00004141051,0.00004805377,0.000028487573,0.00015537467,0.00017992377,0.0000058843707,0.00009220105,0.9603653,0.0034855094,0.0193834,0.00026107446,0.015953392],"study_design_scores_gemma":[0.0031249102,0.000055856282,0.0008149897,0.000036694946,0.00012656017,0.00012462077,0.000052106723,0.9620326,0.00007292265,0.000042123847,0.033119407,0.00039718646],"about_ca_topic_score_codex":0.000038171154,"about_ca_topic_score_gemma":0.00000649479,"teacher_disagreement_score":0.9892999,"about_ca_system_score_codex":0.00019481638,"about_ca_system_score_gemma":0.00004890589,"threshold_uncertainty_score":0.9998909},"labels":[],"label_agreement":null},{"id":"W2090708310","doi":"10.1016/s0967-0661(01)00093-4","title":"State of the art in copper hydrometallurgic processes control","year":2001,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Mineral Processing and Grinding","field":"Engineering","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":"Université Laval","funders":"Universidad Técnica Federico Santa María","keywords":"Copper; State (computer science); Control (management); Computer science; Industrial engineering; Engineering; Metallurgy; Materials science; Artificial intelligence; Programming language","score_opus":0.005518632674411102,"score_gpt":0.2045063949724735,"score_spread":0.1989877622980624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090708310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72656345,0.010724079,0.22919622,0.0031610741,0.0021938232,0.0015752706,0.0000419722,0.0013000863,0.025244012],"genre_scores_gemma":[0.9990146,0.00013402883,0.00020979645,0.00011995618,0.000060861556,0.000038191476,0.000001041529,0.000044756332,0.00037672947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988996,0.000034017685,0.00035493996,0.00015702978,0.00021559242,0.00033882065],"domain_scores_gemma":[0.9990042,0.0005254737,0.00008503477,0.0002352014,0.00008946206,0.00006062043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040764746,0.00020011517,0.0002959888,0.00013409206,0.00003288498,0.000043113832,0.00022444574,0.00005776715,0.000015859718],"category_scores_gemma":[0.0010865064,0.0001621885,0.0000562112,0.0006090234,0.000023884499,0.00046097866,0.000015208854,0.0003605991,0.000022242974],"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":[0.000035750454,0.000029573563,0.00027215295,0.00019819892,0.00006545429,0.000022505057,0.00014678405,0.9939577,0.0044968147,0.000028916187,0.00015711335,0.00058901403],"study_design_scores_gemma":[0.00232802,0.000031766493,0.0016222473,0.00023936605,0.000085165426,0.00013912686,0.000028545614,0.9361503,0.00063037017,0.000027475611,0.058402173,0.00031540354],"about_ca_topic_score_codex":0.0000108195345,"about_ca_topic_score_gemma":0.000009467788,"teacher_disagreement_score":0.2724512,"about_ca_system_score_codex":0.00006030243,"about_ca_system_score_gemma":0.000038077098,"threshold_uncertainty_score":0.6613855},"labels":[],"label_agreement":null},{"id":"W2091440961","doi":"10.1016/s0967-0661(00)00039-3","title":"Data-based control of an industrial tubular reactor","year":2000,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control 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 Alberta","funders":"","keywords":"Feed forward; Control (management); Chemical reactor; Computer science; Automatic control; Control engineering; Engineering; Process engineering; Artificial intelligence","score_opus":0.018570042851849138,"score_gpt":0.23687632446384746,"score_spread":0.21830628161199833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091440961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16135158,0.0065856874,0.7836489,0.0022759626,0.010026027,0.005323186,0.0029787654,0.00867536,0.019134518],"genre_scores_gemma":[0.9986057,0.000012814322,0.00039699208,0.0001649077,0.0005968155,0.000051436327,0.000045105295,0.00008064913,0.000045548597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828297,0.00012827736,0.0005564817,0.00032176558,0.00033994034,0.00037059063],"domain_scores_gemma":[0.9979287,0.00064728496,0.00009373274,0.0010455939,0.000083363746,0.00020136755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007982965,0.00028663542,0.00048792327,0.00013527853,0.00003494221,0.00007446202,0.00049802876,0.00023018724,0.00024653765],"category_scores_gemma":[0.00072778284,0.00030327923,0.00008140811,0.00024070354,0.000021510565,0.0009708722,0.0000064949522,0.00046381008,0.00007990188],"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":[0.00042982885,0.00008047952,0.000011006546,0.000045611516,0.00027367045,0.00002983807,0.000026763928,0.96517134,0.013956356,0.000045712157,0.00034114573,0.019588277],"study_design_scores_gemma":[0.004551167,0.00009815264,0.000039936407,0.000027018776,0.00014249678,0.000024492678,0.000014571719,0.70719326,0.0004939691,6.7452277e-7,0.28719532,0.00021892908],"about_ca_topic_score_codex":0.000077308374,"about_ca_topic_score_gemma":0.000005880327,"teacher_disagreement_score":0.83725417,"about_ca_system_score_codex":0.000064520165,"about_ca_system_score_gemma":0.000053624655,"threshold_uncertainty_score":0.99994195},"labels":[],"label_agreement":null},{"id":"W2095271244","doi":"10.1016/j.conengprac.2009.05.006","title":"An adaptive system for modelling and simulation of electrical arc furnaces","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Ontario Centres of Excellence","keywords":"Arc (geometry); Electric arc; Computer science; Engineering; Mechanical engineering; Physics; Electrode","score_opus":0.015339244398665842,"score_gpt":0.25730479626778824,"score_spread":0.24196555186912239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095271244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015379075,0.00025688182,0.99749523,0.00035214177,0.000032234642,0.00020923906,0.0000010149246,0.00008627005,0.000029077342],"genre_scores_gemma":[0.9101863,0.0000067064216,0.08967882,0.000047440495,0.000062580104,0.00001256937,3.743294e-7,0.0000036353506,0.0000015738849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995294,0.000016707301,0.00012757386,0.00014465644,0.00007282054,0.000108820524],"domain_scores_gemma":[0.998953,0.000679719,0.000080686106,0.00014446072,0.00009552925,0.000046590532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017537315,0.00006140909,0.000102116486,0.00003498971,0.000042171814,0.000046835976,0.00012696475,0.000027484286,4.5659522e-8],"category_scores_gemma":[0.000047161146,0.000058988953,0.000019255409,0.000116904615,0.0000033328668,0.0005516685,0.000005249827,0.0000649203,2.1288751e-7],"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":[0.000024910267,0.000016151642,3.7384677e-7,0.0000047902777,0.0000062696936,4.251869e-7,0.000030238598,0.9309053,0.00083724014,0.06177381,0.0000016500612,0.0063988515],"study_design_scores_gemma":[0.00028039815,0.00019187882,0.000021683294,0.00001123116,0.000018203727,0.0000061101327,0.000005827411,0.99865615,0.0001460643,0.00014123296,0.00045967766,0.000061539315],"about_ca_topic_score_codex":0.0000020957514,"about_ca_topic_score_gemma":5.0542546e-8,"teacher_disagreement_score":0.9086484,"about_ca_system_score_codex":0.000013474397,"about_ca_system_score_gemma":0.000008862989,"threshold_uncertainty_score":0.24054997},"labels":[],"label_agreement":null},{"id":"W2099361874","doi":"10.1016/s0967-0661(00)00075-7","title":"Design and experimental evaluation of a robust force controller for an electro-hydraulic actuator via quantitative feedback theory","year":2000,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":117,"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":"Control theory (sociology); Quantitative feedback theory; Actuator; Nonlinear system; Robustness (evolution); Hydraulic cylinder; Plant; Electro-hydraulic actuator; Control engineering; Robust control; Controller (irrigation); Stiffness; Hydraulic machinery; Engineering; Computer science; Control system; Control (management); Structural engineering; Mechanical engineering","score_opus":0.02992011009818416,"score_gpt":0.28081918996950384,"score_spread":0.25089907987131965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099361874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014377046,0.0028995778,0.9797355,0.000044037602,0.00014484109,0.0017758291,0.00000695955,0.00017566184,0.00084054004],"genre_scores_gemma":[0.98440707,0.00002736915,0.014770058,0.000065448156,0.00008265713,0.00052292703,0.0000063913053,0.00007142389,0.00004665108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845135,0.00029545667,0.00040862523,0.00023092687,0.000302391,0.0003112418],"domain_scores_gemma":[0.9972764,0.0021288919,0.00009793652,0.00020860984,0.00017259053,0.00011555222],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023660702,0.0002596787,0.00042293462,0.000087227934,0.00005745565,0.000047451307,0.00012044805,0.00011435506,0.00007163527],"category_scores_gemma":[0.0005296418,0.00025683356,0.00006461644,0.000110628665,0.000025905258,0.0007635119,0.0000043950567,0.00013189405,0.00001198291],"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":[0.00056248804,0.000048911563,3.178942e-7,0.000059983046,0.00030299465,5.1756876e-7,0.0014436896,0.955925,0.03283547,0.00046012877,0.00006608417,0.008294411],"study_design_scores_gemma":[0.0044781985,0.00044042704,0.000013227489,0.000042753734,0.00030475712,0.000030799507,0.00031324633,0.9889771,0.003914714,0.00014007904,0.0010877947,0.00025693935],"about_ca_topic_score_codex":0.000012499111,"about_ca_topic_score_gemma":4.7648965e-7,"teacher_disagreement_score":0.97003,"about_ca_system_score_codex":0.00009724765,"about_ca_system_score_gemma":0.00003488183,"threshold_uncertainty_score":0.9999884},"labels":[],"label_agreement":null},{"id":"W2110636139","doi":"10.1016/j.conengprac.2006.10.005","title":"Novel identification method from step response","year":2006,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Control Systems and Identification","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Preprocessor; Two step; Computer science; Feature (linguistics); Control theory (sociology); Data pre-processing; Open-loop controller; Algorithm; Steady state (chemistry); Closed loop; Engineering; Data mining; Control engineering; Mathematics; Artificial intelligence; Applied mathematics; Control (management)","score_opus":0.0056221918835464325,"score_gpt":0.2270778952048521,"score_spread":0.22145570332130568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110636139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004016949,0.0011958409,0.99141973,0.00044946352,0.0012044444,0.0003234278,0.000058860976,0.0007398139,0.00059147226],"genre_scores_gemma":[0.97863895,0.000009058383,0.0201586,0.000037828737,0.0005271793,0.00011345704,0.000035675967,0.000069119604,0.00041013485],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860704,0.00009519944,0.00051408366,0.00027598874,0.0002465724,0.00026112449],"domain_scores_gemma":[0.9978121,0.0013845898,0.00011976002,0.0004749527,0.00014303064,0.00006557883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012067725,0.00020897992,0.00024466187,0.00014836196,0.000057977133,0.00021281408,0.00018021729,0.000119761164,0.00002361269],"category_scores_gemma":[0.00082897145,0.00024028141,0.00008303994,0.00021747786,0.0000069886764,0.0007001696,0.000011388685,0.00021334099,0.0001620579],"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":[0.00010439361,0.000027156739,0.000007656648,0.000014248676,0.00007172677,0.0000034076086,0.00003093278,0.46898693,0.5269235,0.0006858671,0.0009366111,0.0022075835],"study_design_scores_gemma":[0.001181871,0.000009024303,0.012357025,0.000019222474,0.00011401435,0.0000174843,0.000025959427,0.83112293,0.0017012656,0.000016847865,0.15319198,0.00024235694],"about_ca_topic_score_codex":0.0006637487,"about_ca_topic_score_gemma":0.000020433172,"teacher_disagreement_score":0.974622,"about_ca_system_score_codex":0.0001511208,"about_ca_system_score_gemma":0.000017252663,"threshold_uncertainty_score":0.97983915},"labels":[],"label_agreement":null},{"id":"W2146124226","doi":"10.1016/j.conengprac.2003.12.008","title":"Design and flight testing of various controllers for the Bell 205 helicopter","year":2004,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Control Systems and Identification","field":"Engineering","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":"National Research Council Canada","funders":"","keywords":"Desk; Flight test; Consistency (knowledge bases); Engineering; Controller (irrigation); Suite; Work (physics); Flight simulator; Control engineering; Simulation; Computer science; Artificial intelligence; Mechanical engineering","score_opus":0.012634194142973213,"score_gpt":0.2052536732168151,"score_spread":0.1926194790738419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146124226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008033898,0.0047214227,0.99186,0.000661331,0.00048436905,0.001073823,0.0000060080333,0.0002307794,0.0001588886],"genre_scores_gemma":[0.9876872,0.00006608814,0.011730367,0.00006050343,0.00015889878,0.00021532859,0.0000010853809,0.00004302257,0.000037512124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991285,0.000024063622,0.00033790455,0.0001539703,0.00012285299,0.00023268547],"domain_scores_gemma":[0.99656355,0.0028777276,0.00010267346,0.0002365741,0.00016447873,0.000055012202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076262077,0.00016690129,0.00025851722,0.000067447836,0.000082021514,0.000077095356,0.00012250667,0.00007065789,0.000002134081],"category_scores_gemma":[0.0012418572,0.00013744771,0.00005318382,0.00012148941,0.00001760262,0.00028344127,0.000009835655,0.00013636085,0.0000041602734],"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":[0.00006320714,0.000012597312,0.0000057304987,0.00007950159,0.00019601702,0.000001550933,0.00016917622,0.975578,0.02019897,0.00056821643,0.000092266695,0.0030347542],"study_design_scores_gemma":[0.0035013442,0.00006937921,0.00035621037,0.00005422683,0.00024055576,0.0000310564,0.000028637469,0.97796816,0.00073982385,0.000050267357,0.016794117,0.00016624642],"about_ca_topic_score_codex":0.00008071183,"about_ca_topic_score_gemma":0.0000037584136,"teacher_disagreement_score":0.9868838,"about_ca_system_score_codex":0.00005559008,"about_ca_system_score_gemma":0.000023597007,"threshold_uncertainty_score":0.5604955},"labels":[],"label_agreement":null},{"id":"W2169036463","doi":"10.1016/s0967-0661(03)00115-1","title":"Performance evaluation of two industrial MPC controllers","year":2003,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Model predictive control; Control theory (sociology); Feed forward; Controller (irrigation); PID controller; Multivariate statistics; Splitter; Control engineering; Multivariable calculus; Process (computing); Process control; Engineering; Computer science; Control (management); Mathematics; Temperature control; Artificial intelligence; Machine learning","score_opus":0.02340767316008238,"score_gpt":0.25505047469357367,"score_spread":0.2316428015334913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169036463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6705024,0.0071813245,0.15230022,0.00037575202,0.016513975,0.0047697322,0.000038441198,0.0023524058,0.14596571],"genre_scores_gemma":[0.9993502,0.00002492301,0.00019465893,0.000031583735,0.00018362417,0.00013076817,0.0000014521427,0.00004226019,0.000040555136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984101,0.0001867536,0.00044039305,0.0001623092,0.000516976,0.00028343365],"domain_scores_gemma":[0.9988308,0.00042375384,0.00011211826,0.00027457048,0.00026536148,0.00009340983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00218399,0.00020536638,0.0003379255,0.00015220247,0.000040332245,0.00003402302,0.00011069307,0.00011961147,0.00006862031],"category_scores_gemma":[0.0019963665,0.00021728827,0.00008735854,0.00026406097,0.000014423696,0.00044264155,0.0000040043287,0.0003022039,0.000038363327],"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":[0.000053751493,0.000017961986,0.000080275946,0.000020889618,0.00019821039,0.0000011157364,0.00005135405,0.9862158,0.0056567737,0.00043796448,0.00012003049,0.0071458835],"study_design_scores_gemma":[0.009582024,0.000055116547,0.00010606147,0.00003369384,0.0002583698,0.000029724637,0.000059007874,0.9545272,0.0012122091,0.0000031433751,0.033927318,0.00020611845],"about_ca_topic_score_codex":0.000013078518,"about_ca_topic_score_gemma":0.0000017271624,"teacher_disagreement_score":0.32884774,"about_ca_system_score_codex":0.00015522676,"about_ca_system_score_gemma":0.00007056919,"threshold_uncertainty_score":0.8860758},"labels":[],"label_agreement":null},{"id":"W2468396395","doi":"10.1016/j.conengprac.2016.05.021","title":"A local alignment approach to similarity analysis of industrial alarm flood sequences","year":2016,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":77,"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":"ALARM; Computation; Computer science; Flood myth; Smith–Waterman algorithm; Similarity (geometry); Data mining; Matching (statistics); Algorithm; Artificial intelligence; Engineering; Sequence alignment; Mathematics; Geography","score_opus":0.0243301452670849,"score_gpt":0.25588997027171984,"score_spread":0.23155982500463493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468396395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00062172563,0.00003439181,0.99626,0.001771854,0.00012965231,0.00023195501,0.00004915814,0.00029829092,0.00060297607],"genre_scores_gemma":[0.8224759,0.0000055004343,0.17721757,0.00018638532,0.000039875336,0.00005301846,0.0000029546584,0.000008661155,0.000010117256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838656,0.0001058368,0.00034471988,0.00044501698,0.00042181136,0.00029603558],"domain_scores_gemma":[0.997744,0.0009517731,0.00016821118,0.0008575689,0.00012921124,0.00014921202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011082062,0.00017663532,0.0003805822,0.00036909158,0.00002924139,0.000079570586,0.0010247632,0.00010644743,0.0000043085033],"category_scores_gemma":[0.0018858919,0.00013665685,0.00010378861,0.0010741808,0.00003239966,0.00090826506,0.00023952701,0.00014021482,0.0000060254083],"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":[0.00040310776,0.0017094499,0.0018404056,0.00006792794,0.010268257,0.0001171658,0.0019915802,0.5096317,0.0222707,0.14498541,0.006128761,0.30058554],"study_design_scores_gemma":[0.0018288943,0.00041386447,0.00080535334,0.00009795847,0.001486117,0.000028315319,0.000057784182,0.955556,0.00979694,0.00009392615,0.029212851,0.00062202796],"about_ca_topic_score_codex":0.00009855731,"about_ca_topic_score_gemma":0.0000017645167,"teacher_disagreement_score":0.8218542,"about_ca_system_score_codex":0.00011135292,"about_ca_system_score_gemma":0.00007515073,"threshold_uncertainty_score":0.5572704},"labels":[],"label_agreement":null},{"id":"W2469944670","doi":"10.1016/j.conengprac.2016.06.005","title":"Integrated stability and traction control for electric vehicles using model predictive control","year":2016,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Vehicle Dynamics and Control Systems","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 Waterloo","funders":"","keywords":"Model predictive control; Traction control system; Control theory (sociology); Powertrain; Engineering; Electronic stability control; Stability (learning theory); Controller (irrigation); Control engineering; Automobile handling; Traction (geology); Electric vehicle; Optimal control; Automotive engineering; Control (management); Computer science; Torque; Mathematics; Mathematical optimization","score_opus":0.009466735025408953,"score_gpt":0.2089199798345313,"score_spread":0.19945324480912235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469944670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06956563,0.00094635726,0.926548,0.00035124243,0.00034026103,0.0013212706,0.0002845878,0.0005587923,0.00008386027],"genre_scores_gemma":[0.9981391,0.00008002753,0.0010009826,0.00009422132,0.00021660428,0.00034137096,0.0000036150623,0.000109564106,0.000014547688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807584,0.00009836539,0.00055616576,0.00042336519,0.00023304435,0.00061320426],"domain_scores_gemma":[0.9968244,0.0021346768,0.00015562428,0.0003140182,0.00036816078,0.0002031428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00096604705,0.00040530844,0.00059239124,0.00017101676,0.00011234857,0.000110135166,0.0001540592,0.00023816134,0.0000043313325],"category_scores_gemma":[0.0011834677,0.00033617273,0.00013775642,0.00018051604,0.000030379573,0.00097151037,0.000008455347,0.0003044596,0.0000030443193],"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":[0.0005677315,0.00003363535,0.00007127608,0.00006285356,0.00035700735,0.0000025982956,0.000035351033,0.59352666,0.40153357,0.0005328232,0.000018001394,0.0032584905],"study_design_scores_gemma":[0.008863748,0.00015494374,0.0002662146,0.000067983216,0.00043097363,0.00004062025,0.00003989471,0.98833895,0.0006661301,0.00006266594,0.00066781667,0.0004000428],"about_ca_topic_score_codex":0.000029494524,"about_ca_topic_score_gemma":0.000004255528,"teacher_disagreement_score":0.9285734,"about_ca_system_score_codex":0.00040088763,"about_ca_system_score_gemma":0.000076980185,"threshold_uncertainty_score":0.99990904},"labels":[],"label_agreement":null},{"id":"W2515763609","doi":"10.1016/j.conengprac.2016.08.004","title":"Nonlinear trilateral teleoperation stability analysis subjected to time-varying delays","year":2016,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":39,"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":"Teleoperation; Control theory (sociology); Haptic technology; Lyapunov function; Robot; Nonlinear system; Control engineering; Engineering; Stability (learning theory); Computer science; Simulation; Artificial intelligence; Control (management)","score_opus":0.0071212535636623305,"score_gpt":0.21168742449056838,"score_spread":0.20456617092690604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515763609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12900366,0.00011479713,0.8670129,0.0007973109,0.00047147233,0.00047401525,0.00004386185,0.0010477894,0.0010341726],"genre_scores_gemma":[0.9931405,0.000009742962,0.006146825,0.00015651612,0.00026548293,0.000067686444,0.000012831927,0.000047832607,0.00015256669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859804,0.000073372,0.00045837462,0.0002883775,0.00023680205,0.00034503586],"domain_scores_gemma":[0.9985354,0.0006176439,0.00004367491,0.00039351007,0.00021304209,0.00019676166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005407157,0.00023923045,0.00037912346,0.00027880454,0.00006124913,0.00012844111,0.0001424991,0.00010675049,0.00028703437],"category_scores_gemma":[0.0011158824,0.00019492046,0.00011577144,0.0006760305,0.000008012586,0.0006774672,0.00001531076,0.00013518507,0.00045043652],"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":[0.0000994261,0.000043026786,0.0003551148,0.000029204944,0.0009277327,0.000012249952,0.00041066966,0.7082509,0.28678694,0.00008973287,0.00020005522,0.0027949372],"study_design_scores_gemma":[0.0012145403,0.000056247583,0.0012163124,0.000024154573,0.0003713519,0.00001603276,0.000016471804,0.9737731,0.0060734446,4.825918e-7,0.016870383,0.00036746362],"about_ca_topic_score_codex":0.000025031432,"about_ca_topic_score_gemma":0.000012418307,"teacher_disagreement_score":0.8641369,"about_ca_system_score_codex":0.00018512532,"about_ca_system_score_gemma":0.00002635345,"threshold_uncertainty_score":0.79486257},"labels":[],"label_agreement":null},{"id":"W2528637463","doi":"10.1016/j.conengprac.2016.09.005","title":"Explicit hidden coupling terms handling in gain-scheduling control design via eigenstructure assignment","year":2016,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gain scheduling; Autopilot; Control theory (sociology); Scheduling (production processes); Missile; Control engineering; Computer science; Benchmark (surveying); Engineering; Control system; Control (management); Artificial intelligence","score_opus":0.009645414774412931,"score_gpt":0.20607397156692375,"score_spread":0.1964285567925108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528637463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008919479,0.002046187,0.98541325,0.000639539,0.0011431503,0.0009867623,0.000014013423,0.0006458667,0.00019173072],"genre_scores_gemma":[0.9928565,0.00007426107,0.005883475,0.00017919375,0.00053822726,0.00031666478,0.0000016652119,0.00012798888,0.00002202599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99710155,0.000121145924,0.00086745765,0.0005313443,0.00046136265,0.00091716327],"domain_scores_gemma":[0.9949774,0.0039192336,0.0001654437,0.0005771132,0.00012221736,0.00023856603],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016381153,0.00054775784,0.0007688444,0.00025000796,0.000090771195,0.0001342321,0.00038287332,0.00030018148,0.000038537666],"category_scores_gemma":[0.0014332503,0.00045727857,0.00016059208,0.00025794347,0.000027916729,0.0008446757,0.000025593336,0.0005090053,0.000052239462],"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":[0.0002752121,0.000026349404,0.00032565158,0.000075184915,0.00023125998,0.00006395414,0.00018213107,0.8908261,0.10190382,0.00016708765,0.000015101982,0.0059081423],"study_design_scores_gemma":[0.0063653495,0.00006811461,0.00042405556,0.00034129916,0.00012850163,0.0000610905,0.00010998809,0.9879795,0.0018554269,0.00007789829,0.0019398438,0.00064897456],"about_ca_topic_score_codex":0.000025837455,"about_ca_topic_score_gemma":0.000006158261,"teacher_disagreement_score":0.983937,"about_ca_system_score_codex":0.000585462,"about_ca_system_score_gemma":0.000051316496,"threshold_uncertainty_score":0.99978787},"labels":[],"label_agreement":null},{"id":"W2601771264","doi":"10.1016/j.conengprac.2017.03.004","title":"Issues in closed-loop needle steering","year":2017,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":102,"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":"Bevel; Trajectory; Nonholonomic system; Deflection (physics); Closed loop; Control engineering; Engineering; Computer science; Control theory (sociology); Robot; Simulation; Biomedical engineering; Control (management); Mechanical engineering; Artificial intelligence; Physics; Mobile robot","score_opus":0.009633291346544417,"score_gpt":0.2612225054538374,"score_spread":0.251589214107293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601771264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078392304,0.008528632,0.85148853,0.009884128,0.0053776135,0.0017206972,0.000038415452,0.0033374294,0.041232254],"genre_scores_gemma":[0.99368566,0.00017350554,0.0054833,0.000051572453,0.0002211751,0.00007845595,0.0000019807712,0.000057791873,0.00024656116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991862,0.000007998004,0.00021555279,0.00016519384,0.00012061928,0.0003044375],"domain_scores_gemma":[0.9989403,0.0002618667,0.00005406306,0.00062106247,0.000041088206,0.00008164713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024108181,0.00017115762,0.00020600887,0.000087531575,0.00010457054,0.00022840069,0.00034293547,0.00008193559,0.0000150117485],"category_scores_gemma":[0.00076353236,0.00019914602,0.00004257977,0.000074451425,0.000015566124,0.0006065921,0.000036517424,0.00029999335,0.000082209364],"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":[0.0000057928764,0.000022641121,0.00041366922,0.00003192081,0.00004437855,0.000018968614,0.000096326956,0.9902406,0.0030046,0.0025951955,0.00032630103,0.0031996402],"study_design_scores_gemma":[0.0008418164,0.000011425083,0.010902739,0.000046014924,0.00003246702,0.000012468313,0.000035505887,0.8611876,0.0003443233,0.00003232062,0.12627605,0.0002772763],"about_ca_topic_score_codex":0.000090450754,"about_ca_topic_score_gemma":0.000010562254,"teacher_disagreement_score":0.91529334,"about_ca_system_score_codex":0.00005951944,"about_ca_system_score_gemma":0.000009832071,"threshold_uncertainty_score":0.8120939},"labels":[],"label_agreement":null},{"id":"W2619795929","doi":"10.1016/s0967-0661(02)00060-6","title":"Time delay integrating systems: a challenge for process control industries. A practical solution","year":2002,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of British Columbia","funders":"","keywords":"PID controller; Automation; Controller (irrigation); Process control; Batch processing; Process (computing); Advanced process control; Dead time; Control engineering; Control theory (sociology); Consistency (knowledge bases); Process engineering; Computer science; Temperature control; Batch reactor; Control (management); Engineering; Mathematics; Chemistry; Operating system","score_opus":0.015047547366519098,"score_gpt":0.2448054561248506,"score_spread":0.22975790875833152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619795929","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011165301,0.0035767665,0.9889843,0.0012642668,0.00081150344,0.002125435,0.000053267264,0.0014563439,0.0016164772],"genre_scores_gemma":[0.9910147,0.000069940914,0.006228534,0.00009555765,0.0007166666,0.0015307588,0.00001582198,0.0001821351,0.00014583932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976289,0.00010570384,0.0007528987,0.00041998643,0.00035886414,0.0007336296],"domain_scores_gemma":[0.9963493,0.0022336124,0.0002696035,0.00038368208,0.00055523263,0.0002086182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007455083,0.0004712555,0.00064086344,0.00019686914,0.00014432467,0.00018163685,0.00020077126,0.0003725375,0.000029204535],"category_scores_gemma":[0.0062926277,0.00050371914,0.00010347254,0.00034619527,0.0000308517,0.0018883733,0.000012064639,0.000666304,0.00009610491],"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":[0.00009918292,0.00006495194,0.0000014510123,0.00023474351,0.00032152247,0.000021020893,0.0002682993,0.99441767,0.00067870005,0.0010735814,0.0008588651,0.0019600098],"study_design_scores_gemma":[0.004007883,0.00015097791,0.0000011199674,0.00015833405,0.00027021408,0.00018036069,0.00016902976,0.9604854,0.000017009765,0.000006227424,0.03406959,0.00048386783],"about_ca_topic_score_codex":0.0000070290685,"about_ca_topic_score_gemma":0.0000011676658,"teacher_disagreement_score":0.9909031,"about_ca_system_score_codex":0.0003569439,"about_ca_system_score_gemma":0.00004071105,"threshold_uncertainty_score":0.99974144},"labels":[],"label_agreement":null},{"id":"W2744382252","doi":"10.1016/j.conengprac.2017.07.002","title":"Cooperative modalities in robotic tele-rehabilitation using nonlinear bilateral impedance control","year":2017,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":68,"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":"Teleoperation; Impedance control; Controller (irrigation); Control theory (sociology); Nonlinear system; Flexibility (engineering); Control engineering; Robot; Rehabilitation robotics; Lyapunov function; Modalities; Engineering; Haptic technology; Stability (learning theory); Computer science; Simulation; Control (management); Artificial intelligence; Mathematics","score_opus":0.011822853102179986,"score_gpt":0.2592267612018554,"score_spread":0.2474039080996754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744382252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3051224,0.0010593623,0.6854423,0.0016341968,0.0030119799,0.0015038452,0.000044357643,0.0007174547,0.0014640823],"genre_scores_gemma":[0.99316525,0.000015990694,0.0062120757,0.000092674614,0.00031356796,0.000074484036,0.0000031257102,0.000059792143,0.00006303956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998649,0.000080097394,0.0004692914,0.00024079146,0.00019435924,0.00036644403],"domain_scores_gemma":[0.9983839,0.00076542236,0.00011266783,0.00047269036,0.00017176794,0.000093562245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005499246,0.0002656271,0.00042322066,0.00014555307,0.00016319535,0.00036867234,0.00022694908,0.00012088664,0.000016556522],"category_scores_gemma":[0.0022738015,0.0002768107,0.00006641605,0.00008069514,0.000044425888,0.0015029075,0.000015880734,0.00031313772,0.00003092069],"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":[0.000043779008,0.000024425657,0.00049089914,0.000076240205,0.00007631174,0.000018599987,0.00067411613,0.98894703,0.00842237,0.0009414722,0.00001605877,0.00026870522],"study_design_scores_gemma":[0.0026082324,0.000053619224,0.0034255034,0.00010610748,0.00004691949,0.0000351752,0.00020188477,0.9913057,0.00012266709,0.000004949582,0.001786742,0.0003024686],"about_ca_topic_score_codex":0.00020962347,"about_ca_topic_score_gemma":0.00004040799,"teacher_disagreement_score":0.6880428,"about_ca_system_score_codex":0.00019694329,"about_ca_system_score_gemma":0.000048439484,"threshold_uncertainty_score":0.9999684},"labels":[],"label_agreement":null},{"id":"W2790349614","doi":"10.1016/j.conengprac.2018.02.002","title":"Active disturbance rejection control applied to automated steering for lane keeping in autonomous vehicles","year":2018,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":94,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Active disturbance rejection control; Control theory (sociology); Offset (computer science); Scheme (mathematics); Controller (irrigation); PID controller; Computer science; Robustness (evolution); Automobile handling; Engineering; Control engineering; Control (management); Automotive engineering; State observer; Nonlinear system; Artificial intelligence; Mathematics; Temperature control","score_opus":0.00426942866770914,"score_gpt":0.21507010580382266,"score_spread":0.21080067713611353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790349614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0452549,0.00032905483,0.9440119,0.0004939455,0.0016645835,0.0023933619,0.000084658954,0.0030251974,0.002742342],"genre_scores_gemma":[0.99609834,0.0000053865156,0.0021558718,0.00021945566,0.0005737776,0.00078461267,0.0000090437,0.00012116957,0.000032370357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981926,0.0000364616,0.00051246455,0.00040763206,0.00019033649,0.00066052336],"domain_scores_gemma":[0.9985267,0.00071173644,0.000104474726,0.00033881856,0.00016009998,0.00015817586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005962373,0.00034701166,0.00053138,0.00025705452,0.000097096905,0.0001260381,0.00023099301,0.00017091756,0.0000032718563],"category_scores_gemma":[0.00046402178,0.0004048622,0.00008081342,0.0003794512,0.00001777105,0.00038217008,0.000020306374,0.0003043618,0.00003818885],"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":[0.0004571738,0.000033129498,0.000031934225,0.00010649607,0.00020675662,0.000010954589,0.0003737294,0.9547395,0.03556777,0.0013282683,0.00009527151,0.0070490185],"study_design_scores_gemma":[0.0036906768,0.00013092416,0.0031596245,0.000089913534,0.00006859702,0.000021187378,0.000100572215,0.97974366,0.00034814083,0.000009216805,0.012195204,0.0004423014],"about_ca_topic_score_codex":0.00008388388,"about_ca_topic_score_gemma":0.000045536504,"teacher_disagreement_score":0.9508434,"about_ca_system_score_codex":0.00044369,"about_ca_system_score_gemma":0.000030904754,"threshold_uncertainty_score":0.9998403},"labels":[],"label_agreement":null},{"id":"W2805060771","doi":"10.1016/j.conengprac.2018.04.008","title":"Model predictive control of vehicle roll-over with experimental verification","year":2018,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"General Motors Corporation","keywords":"Model predictive control; Control theory (sociology); Kinematics; Torque; Controller (irrigation); Vehicle dynamics; Engineering; Constraint (computer-aided design); Automotive engineering; Computer science; Control (management); Simulation; Artificial intelligence","score_opus":0.004603828821540877,"score_gpt":0.20309869193108995,"score_spread":0.19849486310954909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805060771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06417733,0.00072503753,0.93031716,0.00007750449,0.00030264712,0.0005223748,0.000054927954,0.0003665805,0.00345644],"genre_scores_gemma":[0.9985177,0.000009143745,0.0009395824,0.0000738366,0.00021922347,0.00012891022,0.000004019795,0.000075490476,0.000032090524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879134,0.000031976768,0.00033926024,0.00023400507,0.00028928355,0.00031414648],"domain_scores_gemma":[0.9989967,0.00019316057,0.000117570045,0.00036618416,0.00021826464,0.00010815027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026757605,0.0002413384,0.00034009872,0.00009124399,0.00005011306,0.000042640037,0.00018190312,0.00010832702,0.000013569575],"category_scores_gemma":[0.00009280895,0.00023317522,0.000063557694,0.00016426286,0.000050162387,0.0005288998,0.0000108398735,0.00019538775,0.00001478313],"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":[0.0004508915,0.0000562258,0.00007829903,0.000027302658,0.00029277045,0.0000034739546,0.0002529196,0.8954567,0.10171272,0.0014276579,0.000043196313,0.00019786513],"study_design_scores_gemma":[0.0039993157,0.00032331032,0.00065007375,0.00003945475,0.00012666613,0.000013592261,0.00008683841,0.9916753,0.0020666919,0.00000490102,0.000772269,0.00024157291],"about_ca_topic_score_codex":0.000021345038,"about_ca_topic_score_gemma":0.000002975389,"teacher_disagreement_score":0.93434036,"about_ca_system_score_codex":0.000114753915,"about_ca_system_score_gemma":0.000034034747,"threshold_uncertainty_score":0.950861},"labels":[],"label_agreement":null},{"id":"W2884085147","doi":"10.1016/j.conengprac.2018.07.005","title":"Design of visualization plots of industrial alarm and event data for enhanced alarm management","year":2018,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; ALARM; Computer science; Visual analytics; Information visualization; Data visualization; Event (particle physics); Data science; Creative visualization; Data mining; Engineering","score_opus":0.055949089628247836,"score_gpt":0.3360120617847156,"score_spread":0.28006297215646775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884085147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000041621603,0.00007035736,0.9990438,0.00014491615,0.00022256853,0.00036332908,0.000033961995,0.000038928632,0.000040504],"genre_scores_gemma":[0.88618976,0.000114508555,0.113314375,0.00014634183,0.00011915678,0.00001624023,0.00004726569,0.000015439287,0.00003689155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991338,0.0000496466,0.00028408377,0.0002303768,0.00018281637,0.00011922759],"domain_scores_gemma":[0.9986015,0.0004011976,0.00022592282,0.00051763875,0.00021209223,0.00004163897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008407222,0.00008693823,0.00015710772,0.00009949263,0.000028346607,0.000046923356,0.0004784411,0.000042232947,0.0000023312618],"category_scores_gemma":[0.0010503933,0.000089656285,0.00001414675,0.00023178104,0.000020593821,0.00076504727,0.00018349123,0.000037136906,0.0000011834569],"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":[0.0013611808,0.001458417,0.000046888363,0.0010117575,0.0022133782,0.000011687005,0.0020650725,0.3597509,0.046653494,0.40248203,0.00797648,0.17496872],"study_design_scores_gemma":[0.0015301167,0.00020878584,0.000013505235,0.000052000305,0.00009683588,0.0000015758818,0.000017607777,0.97939473,0.004054065,0.000031146843,0.014510437,0.00008918954],"about_ca_topic_score_codex":0.0000031427362,"about_ca_topic_score_gemma":2.4080208e-7,"teacher_disagreement_score":0.88614815,"about_ca_system_score_codex":0.000010616973,"about_ca_system_score_gemma":0.00003082716,"threshold_uncertainty_score":0.36560774},"labels":[],"label_agreement":null},{"id":"W2890562467","doi":"10.1016/j.conengprac.2018.08.017","title":"Ultrasound image guidance and robot impedance control for beating-heart surgery","year":2018,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation","keywords":"Haptic technology; Kalman filter; Computer vision; Ultrasound; Extended Kalman filter; Robot; Interpolation (computer graphics); Artificial intelligence; Computer science; Impedance control; Simulation; Engineering; Motion (physics); Medicine; Radiology","score_opus":0.00804546466220474,"score_gpt":0.24241914684317964,"score_spread":0.2343736821809749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890562467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033758415,0.0013841605,0.992509,0.00080396543,0.00048825576,0.00050672,0.00004550991,0.0005109266,0.0003756192],"genre_scores_gemma":[0.95427966,0.000061029274,0.044276617,0.00033110916,0.0006612804,0.0002693708,0.0000056162794,0.00007853526,0.00003675893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988882,0.000017725804,0.00031651973,0.0002597693,0.000116478346,0.00040129328],"domain_scores_gemma":[0.9943236,0.0049534356,0.000068789086,0.0003133413,0.00021355228,0.00012728441],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053055125,0.0002260475,0.00031600188,0.00006898353,0.00012761014,0.00012940637,0.00011305759,0.00008696109,0.000008762627],"category_scores_gemma":[0.0028674044,0.00025297634,0.000078275494,0.00015063846,0.000053906155,0.00039280567,0.0000098660375,0.0001699197,0.000027240672],"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":[0.0001232418,0.00007842595,0.00072393945,0.00036005137,0.00044983512,0.0000054176717,0.00024590114,0.72495717,0.25167584,0.004666263,0.014250604,0.002463324],"study_design_scores_gemma":[0.0012759293,0.000051221577,0.004698098,0.00005883133,0.00016687077,0.000102101774,0.000024433257,0.91366863,0.0016329037,0.00007377916,0.077781774,0.00046540084],"about_ca_topic_score_codex":0.000008376044,"about_ca_topic_score_gemma":0.0000016920372,"teacher_disagreement_score":0.95090383,"about_ca_system_score_codex":0.000042263284,"about_ca_system_score_gemma":0.0000225723,"threshold_uncertainty_score":0.99999225},"labels":[],"label_agreement":null},{"id":"W2903505071","doi":"10.1016/j.conengprac.2018.11.009","title":"A formalized safety system for closed-loop anesthesia with pharmacokinetic and pharmacodynamic constraints","year":2018,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Anesthesia and Sedative Agents","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Anesthesia; Blood pressure; Patient safety; Anesthetic; Medicine; Propofol; Pharmacodynamics; Population; Pharmacokinetics; Pharmacology; Internal medicine","score_opus":0.007850798511790515,"score_gpt":0.2664913206174761,"score_spread":0.2586405221056856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903505071","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22356713,0.0008034072,0.76297903,0.0049428656,0.00022731887,0.0039154403,0.000024292829,0.00057350344,0.0029669972],"genre_scores_gemma":[0.99163246,0.00003693929,0.006302255,0.0014201676,0.00023139782,0.00011612078,0.000013514437,0.000054329787,0.00019282046],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885225,0.00005320397,0.00026930883,0.00028152397,0.00019411885,0.00034956916],"domain_scores_gemma":[0.99861276,0.00056762114,0.00013765797,0.00017612247,0.0003004217,0.00020542933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043614238,0.00024247864,0.00040480742,0.00009208486,0.00010625974,0.00002953852,0.000073792464,0.00006886524,0.000038877475],"category_scores_gemma":[0.00021997745,0.00019563628,0.00005652141,0.00012652995,0.00013022109,0.0002880773,0.000008291378,0.00016519269,0.000018507537],"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":[0.21291184,0.0026150702,0.01055354,0.015337567,0.016151015,0.011908139,0.006853628,0.013218879,0.39678493,0.02886267,0.0031955384,0.28160718],"study_design_scores_gemma":[0.045401327,0.0020978486,0.0058024917,0.00049335894,0.0033232942,0.0146189295,0.0005089366,0.7583398,0.0023351435,0.0000016006713,0.16644558,0.0006316562],"about_ca_topic_score_codex":0.0000055704722,"about_ca_topic_score_gemma":2.226134e-7,"teacher_disagreement_score":0.76806533,"about_ca_system_score_codex":0.00007289089,"about_ca_system_score_gemma":0.000075704505,"threshold_uncertainty_score":0.7977816},"labels":[],"label_agreement":null},{"id":"W2917964973","doi":"10.1016/j.conengprac.2019.01.007","title":"Abnormality detection based on the Kullback–Leibler divergence for generalized Gaussian data","year":2019,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":21,"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; China Scholarship Council","keywords":"Divergence (linguistics); Kullback–Leibler divergence; Gaussian; Independent and identically distributed random variables; Generalized normal distribution; Statistic; Mathematics; Constant (computer programming); Test statistic; Normal distribution; Abnormality; Algorithm; Statistics; Pattern recognition (psychology); Statistical hypothesis testing; Computer science; Artificial intelligence; Random variable; Physics","score_opus":0.017033144170512115,"score_gpt":0.2389050067042635,"score_spread":0.2218718625337514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917964973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008044384,0.00038034527,0.97873574,0.0015581596,0.0049687363,0.002023085,0.00013627463,0.0010487252,0.0031045738],"genre_scores_gemma":[0.998042,0.000014391701,0.0005659594,0.00057613506,0.00031195424,0.00023968797,0.000017501909,0.00006172961,0.0001706735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986241,0.00009427538,0.00031528718,0.00033581292,0.00026911157,0.00036142732],"domain_scores_gemma":[0.99740255,0.0012345212,0.000084002735,0.0011066392,0.000081824386,0.00009046682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010906768,0.00025180122,0.00025851812,0.00008850674,0.00010734839,0.0001260798,0.0004733762,0.00011748994,0.00008948674],"category_scores_gemma":[0.00078291766,0.00020283491,0.00009620637,0.0002171496,0.000010100115,0.00050885655,0.000027225322,0.00031600168,0.00019163068],"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":[0.00021571282,0.000020363424,0.000024568704,0.00010116699,0.00012491691,0.0000022467518,0.00002113264,0.9884034,0.008391305,0.00044054407,0.00062881113,0.0016258709],"study_design_scores_gemma":[0.0015403315,0.000059119684,0.00025733083,0.000022858276,0.00007624294,0.000009084329,0.000022944643,0.8129411,0.00050630525,0.0000028988015,0.18435043,0.00021138218],"about_ca_topic_score_codex":0.000048585687,"about_ca_topic_score_gemma":0.000011427437,"teacher_disagreement_score":0.98999757,"about_ca_system_score_codex":0.00009367866,"about_ca_system_score_gemma":0.000021062606,"threshold_uncertainty_score":0.8271368},"labels":[],"label_agreement":null},{"id":"W3093375785","doi":"10.1016/j.conengprac.2020.104653","title":"Safety enforcement in closed-loop anesthesia—A comparison study","year":2020,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Anesthesia and Sedative Agents","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Model predictive control; Control theory (sociology); Closed loop; Control (management); Computer science; Governor; Patient safety; Clinical Practice; Medicine; Anesthesia; Control engineering; Engineering; Artificial intelligence; Health care","score_opus":0.026334450571756263,"score_gpt":0.29802433651664345,"score_spread":0.2716898859448872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093375785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6870804,0.0017666428,0.20916677,0.083328925,0.00037411493,0.008436312,0.0000047205517,0.0009161263,0.00892598],"genre_scores_gemma":[0.99517095,0.000013578442,0.0006783841,0.0038074227,0.00011726126,0.00004285011,0.000007530116,0.00003128246,0.0001307339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986211,0.00010121353,0.000419189,0.00027904188,0.00031588343,0.00026359243],"domain_scores_gemma":[0.9990101,0.00039706327,0.00010393219,0.00021596931,0.00007520829,0.00019773206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040944733,0.00019494131,0.0004818991,0.00007184683,0.000032599397,0.000022326421,0.00010776422,0.000059482292,0.00009893618],"category_scores_gemma":[0.0009629819,0.000182754,0.00005867082,0.00025068427,0.000011142879,0.00021955854,0.000016665424,0.00037471775,0.000116257324],"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":[0.01850687,0.0073005673,0.3606059,0.0005845438,0.0018669727,0.013681504,0.027779689,0.5419041,0.0043469756,0.0042678243,0.0024061266,0.016748948],"study_design_scores_gemma":[0.016076323,0.002394499,0.11358478,0.00007433854,0.00056601694,0.00018830481,0.0030164223,0.47524282,0.0001030086,7.8628716e-7,0.3883487,0.00040400852],"about_ca_topic_score_codex":0.000058717906,"about_ca_topic_score_gemma":0.0000014876567,"teacher_disagreement_score":0.38594258,"about_ca_system_score_codex":0.00008389894,"about_ca_system_score_gemma":0.000050534334,"threshold_uncertainty_score":0.7452492},"labels":[],"label_agreement":null},{"id":"W3112012273","doi":"10.1016/j.conengprac.2020.104674","title":"Adaptive Predictive Control of a data center cooling unit","year":2020,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Controller (irrigation); Rack; Model predictive control; Microcontroller; Control theory (sociology); Data center; Computer science; Range (aeronautics); Forgetting; Variable (mathematics); Engineering; Control engineering; Control (management); Embedded system; Mathematics; Operating system; Artificial intelligence","score_opus":0.02377689495831632,"score_gpt":0.24095380818694967,"score_spread":0.21717691322863336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112012273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000049313072,0.0014299267,0.9952693,0.00037016088,0.0002956368,0.0006433814,0.00042920286,0.0006337369,0.00087936106],"genre_scores_gemma":[0.98502344,0.000054861008,0.014112638,0.00027236913,0.00034256163,0.00004696183,0.000044417124,0.000097362215,0.0000054180246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984219,0.00007687638,0.00052349956,0.00035143705,0.00027785075,0.00034841034],"domain_scores_gemma":[0.9978772,0.00094114104,0.00018387457,0.00055461144,0.00025246013,0.00019073338],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029836321,0.0002888606,0.0005063262,0.00008348745,0.00003287379,0.00003321359,0.0004930553,0.000114247974,0.000012416361],"category_scores_gemma":[0.0016924425,0.00032228755,0.000058603106,0.00030222308,0.000023443179,0.0016714942,0.00006216845,0.0003933132,0.000022657345],"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":[0.00065568835,0.000021971262,0.000034389454,0.00009102189,0.0004957611,0.000015818205,0.00021022762,0.9958442,0.001517542,0.0002960614,0.00010062007,0.0007167016],"study_design_scores_gemma":[0.0042455434,0.00011611977,0.00005271574,0.0000696904,0.0002323057,0.00001635282,0.00011783632,0.9816763,0.00007434822,0.000002368998,0.013142291,0.00025414347],"about_ca_topic_score_codex":0.0000075962985,"about_ca_topic_score_gemma":6.998944e-7,"teacher_disagreement_score":0.9849741,"about_ca_system_score_codex":0.000057834764,"about_ca_system_score_gemma":0.000034275312,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W3187411550","doi":"10.1016/j.conengprac.2021.104907","title":"Event-triggered active disturbance rejection control for a class of networked systems with unmatched uncertainties: Theoretic and experimental results","year":2021,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Stability and Control of Uncertain 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":"University of Alberta","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Differentiator; Backstepping; Control theory (sociology); Convergence (economics); Controller (irrigation); Control engineering; Active disturbance rejection control; Stability (learning theory); Computer science; Event (particle physics); Zeno's paradoxes; Engineering; Control system; Control (management); Mathematics; Adaptive control; State observer; Nonlinear system; Artificial intelligence","score_opus":0.005904688788686282,"score_gpt":0.21860455058553835,"score_spread":0.21269986179685207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187411550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037342373,0.019243196,0.936269,0.00058872584,0.0019107793,0.0028484876,0.0003165679,0.0005433414,0.00093754474],"genre_scores_gemma":[0.99851924,0.00005728551,0.0004655089,0.000040708823,0.00023567979,0.0005367653,0.000018034414,0.000064606866,0.00006218458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981716,0.00016241892,0.0006084083,0.00039486954,0.00026617319,0.00039651289],"domain_scores_gemma":[0.99596566,0.002884571,0.00023655336,0.000404748,0.00039216052,0.00011627832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062623236,0.00033294602,0.00069359725,0.00007022895,0.00007759123,0.00009485352,0.00012252945,0.00015667063,0.0000022198112],"category_scores_gemma":[0.0011056417,0.00030891833,0.00010968216,0.00024280025,0.00006895892,0.0004113962,0.000012490163,0.0002413518,8.719339e-7],"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":[0.004342361,0.00007355273,0.000015178441,0.0005019231,0.00074697327,0.000014277086,0.00086452015,0.9827436,0.007871773,0.00245871,0.00006935289,0.00029777607],"study_design_scores_gemma":[0.012043965,0.0004411447,0.000085846215,0.00039637153,0.00032094793,0.00006488299,0.0034470698,0.97600335,0.002037172,0.000023634786,0.0047486336,0.0003870022],"about_ca_topic_score_codex":0.000056178815,"about_ca_topic_score_gemma":0.0000074955137,"teacher_disagreement_score":0.9611769,"about_ca_system_score_codex":0.00021358076,"about_ca_system_score_gemma":0.00007640029,"threshold_uncertainty_score":0.9999363},"labels":[],"label_agreement":null},{"id":"W4205170423","doi":"10.1016/j.conengprac.2021.105056","title":"Interactive visualization for diagnosis of industrial Model Predictive Controllers with steady-state optimizers","year":2022,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Burnaby Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Visualization; Troubleshooting; Process (computing); Model predictive control; Computer science; Workflow; Control engineering; Controller (irrigation); Constraint (computer-aided design); Advanced process control; Process control; Industrial engineering; Data mining; Control (management); Reliability engineering; Engineering; Machine learning; Artificial intelligence","score_opus":0.06576614398875806,"score_gpt":0.3692771824172523,"score_spread":0.30351103842849425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205170423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002837819,0.000031089476,0.99379486,0.0009464157,0.00012013884,0.0014690964,0.00032260967,0.000098597426,0.0003793632],"genre_scores_gemma":[0.9895778,0.0000057174675,0.007752487,0.0002181365,0.00003785887,0.0022330969,0.000015709964,0.000026740916,0.0001324815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981043,0.00014140994,0.0005428282,0.0003346138,0.00070380635,0.00017309688],"domain_scores_gemma":[0.99037147,0.00792763,0.0006153834,0.00031132041,0.00070467533,0.00006951825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016553851,0.00014022522,0.00032205778,0.0002691728,0.0001674786,0.00007606883,0.0003276996,0.00004255522,0.00004929913],"category_scores_gemma":[0.00553969,0.00012285839,0.00009597326,0.0005720003,0.000030189587,0.00062742864,0.00005976159,0.00021235734,0.0000012466118],"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":[0.0018029402,0.00010366212,0.00017541312,0.0000017442804,0.00010184644,5.846392e-7,0.00048137418,0.99174786,0.000053043794,0.0025120878,0.0009898372,0.0020296008],"study_design_scores_gemma":[0.0037544668,0.00040333715,0.000022770266,0.000008796741,0.00010393577,0.000002909322,0.00095681235,0.9826751,0.00021703799,0.00049142464,0.011234058,0.00012939295],"about_ca_topic_score_codex":0.000019231567,"about_ca_topic_score_gemma":6.836028e-7,"teacher_disagreement_score":0.98673993,"about_ca_system_score_codex":0.00012727619,"about_ca_system_score_gemma":0.00012235824,"threshold_uncertainty_score":0.66319263},"labels":[],"label_agreement":null},{"id":"W4206795371","doi":"10.1016/j.conengprac.2021.105004","title":"Real-time pattern matching and ranking for early prediction of industrial alarm floods","year":2021,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"ALARM; Ranking (information retrieval); Flood myth; Data mining; Computer science; Set (abstract data type); Matching (statistics); Similarity (geometry); Sequence (biology); Machine learning; Artificial intelligence; Engineering; Geography; Statistics; Mathematics","score_opus":0.009283226897220906,"score_gpt":0.2111435561743345,"score_spread":0.2018603292771136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206795371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29228547,0.0009186321,0.70095426,0.0002774389,0.00263988,0.0008188432,0.00013581906,0.000888009,0.0010816526],"genre_scores_gemma":[0.9985366,0.00005615021,0.0007211824,0.000020202366,0.00047465132,0.00007670848,0.000008737114,0.00005434934,0.000051432806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990138,0.000050260456,0.0003656907,0.00018461574,0.00015969982,0.00022596195],"domain_scores_gemma":[0.99890226,0.0006505171,0.00008077653,0.00017882723,0.00011158719,0.00007604887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004492706,0.0001671258,0.00031390513,0.00008541556,0.000046442678,0.000076650715,0.00006187302,0.00015407667,0.000010234712],"category_scores_gemma":[0.0004783696,0.00019300375,0.00007712612,0.00012790218,0.000007606407,0.00036830004,0.00001293555,0.00022523092,0.000004104694],"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":[0.00021940311,0.00005088011,0.00035768203,0.00040452325,0.00096161984,0.000030317711,0.00090298516,0.5668232,0.39905775,0.00022451118,0.00018812991,0.030779026],"study_design_scores_gemma":[0.0049630688,0.00008932844,0.0006099282,0.00016008357,0.00023420116,0.000090167574,0.000115028146,0.9818882,0.0028372023,0.000013553046,0.0087802755,0.00021898893],"about_ca_topic_score_codex":0.000060358452,"about_ca_topic_score_gemma":0.0000017746023,"teacher_disagreement_score":0.7062511,"about_ca_system_score_codex":0.00004682932,"about_ca_system_score_gemma":0.000021931253,"threshold_uncertainty_score":0.7870465},"labels":[],"label_agreement":null},{"id":"W4210436008","doi":"10.1016/j.conengprac.2022.105082","title":"Finite-time control design for a quadrotor transporting a slung load","year":2022,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":63,"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":"Liaoning Revitalization Talents Program; National Natural Science Foundation of China","keywords":"Control theory (sociology); Robustness (evolution); Nonlinear system; Cascade; MATLAB; Control engineering; Computer science; PID controller; Controller (irrigation); Control (management); Engineering; Temperature control; Artificial intelligence","score_opus":0.012898906870329964,"score_gpt":0.22170813935684136,"score_spread":0.2088092324865114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210436008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027334024,0.002485523,0.99109465,0.00048674172,0.0010026642,0.0027597318,0.00024624413,0.0012561962,0.0003949111],"genre_scores_gemma":[0.97964525,0.00000838441,0.01580694,0.00038067103,0.0006392871,0.0029878158,0.000017554758,0.0002533875,0.0002606811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717164,0.000209987,0.0007985321,0.0004357516,0.00058023765,0.0008038638],"domain_scores_gemma":[0.9927896,0.006068329,0.0002333065,0.00043983382,0.0002617043,0.0002071966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024692453,0.0004726151,0.0007422461,0.00019078617,0.00025090558,0.00008968865,0.00043472342,0.000114785784,0.00010149793],"category_scores_gemma":[0.0030531792,0.0005631337,0.00028786133,0.00030214453,0.000018275872,0.00055693026,0.000023893888,0.0006574091,0.000057551682],"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":[0.0006802625,0.000059288894,0.000008833497,0.0001016109,0.0005502347,0.00006958517,0.0002539028,0.9848501,0.011662042,0.00016952348,0.00072643114,0.00086815876],"study_design_scores_gemma":[0.0056154206,0.0002728005,0.000030409587,0.000026523954,0.00030448748,0.00006095987,0.00007404523,0.82634395,0.000057485362,0.0000055925816,0.16671608,0.00049225317],"about_ca_topic_score_codex":0.000016018577,"about_ca_topic_score_gemma":0.0000011421465,"teacher_disagreement_score":0.97937196,"about_ca_system_score_codex":0.00060773257,"about_ca_system_score_gemma":0.00015388028,"threshold_uncertainty_score":0.999682},"labels":[],"label_agreement":null},{"id":"W4311780239","doi":"10.1016/j.conengprac.2022.105406","title":"Model Predictive Path Following Control without terminal constraints for holonomic mobile robots","year":2022,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holonomic; Control theory (sociology); Controllability; Mobile robot; Controller (irrigation); Model predictive control; Path (computing); Robot; Motion planning; Upper and lower bounds; Computer science; Holonomic constraints; Mathematics; Control (management); Applied mathematics; Artificial intelligence; Mathematical analysis; Physics","score_opus":0.005983608984966316,"score_gpt":0.22120999957962384,"score_spread":0.21522639059465754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311780239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011490777,0.0012666484,0.9816255,0.00014933373,0.0014143728,0.002063684,0.0005039445,0.0008885495,0.0005971809],"genre_scores_gemma":[0.9882637,0.00001877427,0.0069870455,0.00025826695,0.00021704531,0.0039815637,0.00003651339,0.00016003758,0.000077051154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978383,0.000066580535,0.0005240065,0.00047920045,0.00034244364,0.0007494355],"domain_scores_gemma":[0.99799836,0.001119839,0.00014050076,0.00043107753,0.00009280751,0.00021744755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008453942,0.00045425177,0.00065077667,0.00018861497,0.00027768165,0.00009795319,0.00039836759,0.000117498836,0.000021783611],"category_scores_gemma":[0.00040835617,0.00054398354,0.00035725115,0.0001348229,0.000036355494,0.0006126506,0.00006683271,0.0006698777,0.000009008933],"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":[0.00040458312,0.000080350976,0.00007484584,0.000052450505,0.0005395383,0.000056000714,0.00016640818,0.9919599,0.0029177936,0.00033090168,0.00014983256,0.0032673404],"study_design_scores_gemma":[0.007498772,0.00031102487,0.00010374195,0.000024529563,0.0004912336,0.00012968735,0.00015023048,0.9873808,0.000009141329,0.000044738023,0.003315635,0.0005404899],"about_ca_topic_score_codex":0.000006494929,"about_ca_topic_score_gemma":0.0000011319102,"teacher_disagreement_score":0.9767729,"about_ca_system_score_codex":0.0004156998,"about_ca_system_score_gemma":0.000118660166,"threshold_uncertainty_score":0.99970114},"labels":[],"label_agreement":null},{"id":"W4320038101","doi":"10.1016/j.conengprac.2023.105457","title":"False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"ALARM; Process (computing); False alarm; Fault detection and isolation; Reduction (mathematics); Computer science; Reliability engineering; Fault (geology); Point (geometry); Sample (material); Constant false alarm rate; Real-time computing; Change detection; Data mining; Engineering; Artificial intelligence","score_opus":0.03130458029135748,"score_gpt":0.3259169272457782,"score_spread":0.29461234695442073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320038101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71320266,0.0005709997,0.28427446,0.00006755461,0.000990581,0.00023292752,0.000015465603,0.00061590533,0.000029410881],"genre_scores_gemma":[0.9986673,0.000079520156,0.00068636634,0.000004843103,0.00040826644,0.00007902181,0.000014386424,0.000043181564,0.000017088789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987257,0.00011117263,0.00038857153,0.00026596783,0.00021354783,0.00029505408],"domain_scores_gemma":[0.99909246,0.00054358615,0.0000764051,0.0001445403,0.000061019557,0.00008201391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008583613,0.00020134589,0.000327792,0.00073863764,0.00008161798,0.00012055857,0.000059750004,0.00010607816,0.000003037242],"category_scores_gemma":[0.0007218384,0.00023368525,0.000064489555,0.0015754371,0.000010569361,0.0007175825,0.000008602246,0.00024665528,0.0000045481215],"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":[0.000021722715,0.0000076194424,0.00012839113,0.00003419864,0.000337276,0.000005688293,0.004368658,0.96080595,0.032811526,0.000040073297,0.0000030974363,0.0014357987],"study_design_scores_gemma":[0.0007644564,0.000023330052,0.00037621325,0.00003015899,0.00025500945,0.000013064239,0.0055013257,0.9917061,0.0007561552,0.000004537396,0.00033663402,0.00023303447],"about_ca_topic_score_codex":0.0001596786,"about_ca_topic_score_gemma":0.000028334936,"teacher_disagreement_score":0.28546464,"about_ca_system_score_codex":0.00014688165,"about_ca_system_score_gemma":0.0000118671105,"threshold_uncertainty_score":0.9529408},"labels":[],"label_agreement":null},{"id":"W4361023764","doi":"10.1016/j.conengprac.2023.105510","title":"Exergy based model predictive control of an integrated dual fuel engine and a waste heat recovery system","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","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 Alberta","funders":"","keywords":"Organic Rankine cycle; Turbocharger; Waste heat recovery unit; Model predictive control; Exergy; Exhaust gas; Internal combustion engine; Waste heat; Modelica; Process engineering; Exhaust gas recirculation; Heat exchanger; Engineering; Exergy efficiency; Second law of thermodynamics; Environmental science; Automotive engineering; Control engineering; Waste management; Mechanical engineering; Computer science; Control (management); Thermodynamics; Gas compressor","score_opus":0.004719616772625692,"score_gpt":0.19502671026501278,"score_spread":0.19030709349238709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361023764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030775408,0.0008833851,0.99224985,0.00008920159,0.00052390445,0.0007891718,0.00023115943,0.0019317264,0.00022406476],"genre_scores_gemma":[0.99194723,0.000059114212,0.0072922395,0.00003665014,0.00015525083,0.00027328337,0.00006000086,0.00015009496,0.00002611289],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980745,0.0001142872,0.0006329811,0.00037895786,0.00031854075,0.00048076286],"domain_scores_gemma":[0.9979031,0.0010173027,0.00012610988,0.00044254208,0.00030250402,0.0002084301],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006712328,0.00040912523,0.00068226754,0.00041669465,0.00004832812,0.000060330403,0.00014987781,0.00021054753,0.0000020267037],"category_scores_gemma":[0.0008684659,0.00043758066,0.00008635282,0.0005568198,0.000025700325,0.0012062641,0.00001875152,0.00034304644,0.000006841428],"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":[0.00045306148,0.00002323032,0.0000031913032,0.0004677378,0.0002766831,0.00003579675,0.00011346075,0.9888677,0.008748606,0.00021615812,0.000023614806,0.00077073375],"study_design_scores_gemma":[0.0046938765,0.00019474803,0.000029437668,0.00022893833,0.00023568256,0.000041660132,0.00031416013,0.9933008,0.0002478203,0.00000488253,0.0003539607,0.00035405124],"about_ca_topic_score_codex":0.00002638383,"about_ca_topic_score_gemma":0.0000044246563,"teacher_disagreement_score":0.9888697,"about_ca_system_score_codex":0.0002274132,"about_ca_system_score_gemma":0.00006160988,"threshold_uncertainty_score":0.9998076},"labels":[],"label_agreement":null},{"id":"W4361282824","doi":"10.1016/j.conengprac.2023.105489","title":"Real-time predictive clunk control using a reference governor","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Hydraulic and Pneumatic 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 Alberta","funders":"","keywords":"Computer science; Torque; Controller (irrigation); Robustness (evolution); Control theory (sociology); Control (management); Artificial intelligence","score_opus":0.012272219950282631,"score_gpt":0.23486388862473717,"score_spread":0.22259166867445454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361282824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035016492,0.00075838267,0.8967184,0.0007016217,0.0029613376,0.001907357,0.0003347554,0.009066945,0.052534748],"genre_scores_gemma":[0.9978289,0.0001278791,0.0009169586,0.00006030139,0.00039595985,0.00010740899,0.000014487728,0.00012177245,0.00042635572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981631,0.00009367026,0.000469579,0.00028757105,0.000386521,0.0005995657],"domain_scores_gemma":[0.99740684,0.0017342236,0.00010923969,0.00043559814,0.00011428967,0.00019978143],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077553844,0.0003298527,0.0004902055,0.0001616807,0.00007885708,0.00008938198,0.0002474614,0.00018750223,0.000040592597],"category_scores_gemma":[0.001153826,0.00034618066,0.00008930624,0.00048110881,0.000019766154,0.00044927408,0.000025329658,0.00035620065,0.00086609914],"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":[0.000052830215,0.00001180225,0.000024131514,0.00011737934,0.0003202345,0.000058695357,0.00026353807,0.9787878,0.018487263,0.00017770127,0.0012314365,0.00046720708],"study_design_scores_gemma":[0.0014329301,0.000048719314,0.00053560216,0.00012038553,0.00017378012,0.00007490205,0.00008791694,0.9657287,0.00004156527,0.0000062138834,0.031415004,0.00033428468],"about_ca_topic_score_codex":0.00013482828,"about_ca_topic_score_gemma":0.0000013445783,"teacher_disagreement_score":0.96281236,"about_ca_system_score_codex":0.00022716663,"about_ca_system_score_gemma":0.000050635277,"threshold_uncertainty_score":0.99991184},"labels":[],"label_agreement":null},{"id":"W4367400078","doi":"10.1016/j.conengprac.2023.105538","title":"Model predictive control of an active ankle-foot orthosis with non-linear actuation constraints","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Prosthetics and Rehabilitation Robotics","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":"Carleton University; Ontario Tech University","funders":"","keywords":"Control theory (sociology); Trajectory; Model predictive control; Controller (irrigation); Tracking error; Gait; Optimal control; Computer science; Engineering; Control engineering; Control (management); Mathematics; Artificial intelligence; Mathematical optimization","score_opus":0.008948818333597796,"score_gpt":0.23402639040718964,"score_spread":0.22507757207359186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367400078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04960637,0.000037085167,0.9481214,0.00023994416,0.00019216718,0.0006439365,0.00015379266,0.0005092399,0.00049606006],"genre_scores_gemma":[0.9894523,0.00003028424,0.010192699,0.0000438684,0.0000605158,0.00010262831,0.0000285811,0.00007399815,0.000015147865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987728,0.000032665266,0.00033497275,0.00023436223,0.00030838882,0.00031682433],"domain_scores_gemma":[0.9982778,0.0008092251,0.00011868675,0.00029886008,0.0003558894,0.00013957385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040709449,0.00024214025,0.00033574316,0.00020833334,0.000050744315,0.000026289395,0.0001416202,0.0001330455,0.0000065410572],"category_scores_gemma":[0.0005790086,0.00022759278,0.00006464131,0.00037366492,0.0000798882,0.0006012979,0.000012508347,0.0003003273,0.0000141117935],"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":[0.00020672202,0.000055592107,0.000030723386,0.00007855099,0.00028029192,0.000008148565,0.00071641104,0.9880454,0.008145819,0.00028196018,0.000012913423,0.0021374973],"study_design_scores_gemma":[0.00244849,0.00030963105,0.0013872749,0.000055998826,0.00020659661,0.000011155353,0.00030741756,0.9937918,0.001103339,0.000027221675,0.00010959807,0.00024143979],"about_ca_topic_score_codex":0.000003351443,"about_ca_topic_score_gemma":0.0000015256855,"teacher_disagreement_score":0.9398459,"about_ca_system_score_codex":0.0000724761,"about_ca_system_score_gemma":0.00007495474,"threshold_uncertainty_score":0.9280965},"labels":[],"label_agreement":null},{"id":"W4376870562","doi":"10.1016/j.conengprac.2023.105534","title":"Adaptive online optimization of alarm thresholds using multilayer Bayesian networks and active transfer entropy","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","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":"University of British Columbia","funders":"","keywords":"ALARM; False alarm; Entropy (arrow of time); Computer science; Constant false alarm rate; Data mining; Artificial intelligence; Engineering; Real-time computing","score_opus":0.011549250185316561,"score_gpt":0.2318792684835917,"score_spread":0.22033001829827514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376870562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012975889,0.0006547355,0.98455983,0.00007914074,0.0006078594,0.00040906452,0.00003635617,0.00057715434,0.00009997927],"genre_scores_gemma":[0.99723727,0.00019857385,0.0021885857,0.000046084766,0.00019568203,0.000031356893,0.000011166862,0.0000765205,0.000014740577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888515,0.000053776057,0.00034543325,0.0002134907,0.00018446607,0.00031764945],"domain_scores_gemma":[0.9991485,0.0004057703,0.00004999911,0.00017967603,0.00010647869,0.00010958016],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023377234,0.00023878405,0.00034918942,0.00020806241,0.000051155977,0.000036667854,0.00008613747,0.00016123772,0.000013714445],"category_scores_gemma":[0.0001660527,0.00025616662,0.000076002405,0.00042020492,0.000020371397,0.0004678235,0.000012484341,0.00030071652,0.0000029088917],"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":[0.00015343752,0.000021193686,0.000015505937,0.000041673986,0.0002636935,0.000011945447,0.00018622621,0.9915984,0.006058399,0.00009599798,0.000016116493,0.0015373892],"study_design_scores_gemma":[0.0017940239,0.000058371905,0.00021404818,0.00005900861,0.00014817894,0.000033825814,0.00028619988,0.9959172,0.000247171,0.0000010773374,0.001009467,0.00023144456],"about_ca_topic_score_codex":0.000037924536,"about_ca_topic_score_gemma":0.0000056258905,"teacher_disagreement_score":0.9842614,"about_ca_system_score_codex":0.000071031245,"about_ca_system_score_gemma":0.000014039717,"threshold_uncertainty_score":0.99998903},"labels":[],"label_agreement":null},{"id":"W4381547332","doi":"10.1016/j.conengprac.2023.105598","title":"Real-time process operation evaluation and model reliability assessment for chemi-thermomechanical pulping process","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Mineral Processing and Grinding","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":"Canfor Pulp Products (Canada); University of British Columbia","funders":"","keywords":"Process (computing); Reliability (semiconductor); Process engineering; Process optimization; Energy consumption; Pulp (tooth); Computer science; Reliability engineering; Work in process; Engineering; Operations management","score_opus":0.016810132019524984,"score_gpt":0.32814707044724245,"score_spread":0.3113369384277175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381547332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29374522,0.00013739115,0.70039415,0.0008258012,0.0002804393,0.0015726909,0.000020818481,0.0018454081,0.0011780716],"genre_scores_gemma":[0.9932451,0.000039523744,0.0056670927,0.000024999363,0.00014720528,0.0007052286,0.000042455846,0.00007091587,0.0000574495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998646,0.000028574912,0.00031914993,0.00033737553,0.00032818504,0.0003406714],"domain_scores_gemma":[0.9988819,0.00046859184,0.00006630049,0.00018163754,0.00030516362,0.00009645095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020822058,0.00021786585,0.00024907175,0.000107504726,0.00012615863,0.00013658211,0.000108734675,0.00013096725,0.0000065065296],"category_scores_gemma":[0.0016293109,0.00022705957,0.000037817474,0.00025375257,0.000009971674,0.00082410197,0.000014315497,0.00023502856,0.000006200093],"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":[0.000027694618,0.000015356849,0.000006515423,0.00054088543,0.000036120022,7.502879e-7,0.00025758133,0.95597553,0.040376462,0.000101970145,0.00005943686,0.0026016827],"study_design_scores_gemma":[0.001026834,0.00003232987,0.000068291374,0.00008166768,0.0001293557,0.000007213237,0.00006473595,0.9972062,0.0007526456,0.00030464408,0.000065785374,0.0002602907],"about_ca_topic_score_codex":0.000002999767,"about_ca_topic_score_gemma":3.3314853e-7,"teacher_disagreement_score":0.6994999,"about_ca_system_score_codex":0.00016473749,"about_ca_system_score_gemma":0.00008921903,"threshold_uncertainty_score":0.92592204},"labels":[],"label_agreement":null},{"id":"W4384028370","doi":"10.1016/j.conengprac.2023.105617","title":"An association rule mining approach to predict alarm events in industrial alarm floods","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"ALARM; Flood myth; Computer science; Manual fire alarm activation; Data mining; Association rule learning; Constant false alarm rate; Real-time computing; Artificial intelligence; Engineering; Geography","score_opus":0.01325712191174358,"score_gpt":0.23717175667928678,"score_spread":0.2239146347675432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384028370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76047814,0.0004662209,0.19887662,0.00151094,0.013324291,0.00395141,0.000120012395,0.009337433,0.011934915],"genre_scores_gemma":[0.9980608,0.0000108166905,0.00044527242,0.00009386443,0.00073242397,0.00035458017,0.00002356838,0.00008470658,0.00019393826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809945,0.00014857411,0.00045233485,0.0003103803,0.00042537323,0.00056389486],"domain_scores_gemma":[0.99884427,0.00050428335,0.000081700586,0.000293197,0.000064134736,0.00021243836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017601656,0.00025278688,0.00035716494,0.0004299917,0.0000522339,0.00008046556,0.0001883935,0.00029003175,0.000005812811],"category_scores_gemma":[0.0020286343,0.00029955516,0.000070348666,0.0009585703,0.0000025469865,0.0006495682,0.000015144045,0.000498966,0.00012704097],"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":[0.000056707253,0.000053495427,0.0014406486,0.00002941607,0.00014532964,0.000010183885,0.00043848666,0.99128443,0.00396375,0.000019859415,0.0007310413,0.0018266654],"study_design_scores_gemma":[0.0028724086,0.000064532454,0.0056513455,0.000043776745,0.000055211265,0.000013191676,0.00028807455,0.96394753,0.00010341462,0.0000015126391,0.026658015,0.00030098343],"about_ca_topic_score_codex":0.000057437937,"about_ca_topic_score_gemma":0.0000070226174,"teacher_disagreement_score":0.23758267,"about_ca_system_score_codex":0.0004326096,"about_ca_system_score_gemma":0.000029605557,"threshold_uncertainty_score":0.99994564},"labels":[],"label_agreement":null},{"id":"W4385566291","doi":"10.1016/j.conengprac.2023.105635","title":"Multi-scenario and multi-stage robust NMPC with state estimation application on the Tennessee-Eastman process","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Model predictive control; Control theory (sociology); Extended Kalman filter; Benchmark (surveying); Estimator; Process (computing); Engineering; Robustness (evolution); Kalman filter; Control engineering; Computer science; Mathematical optimization; Mathematics; Control (management); Artificial intelligence","score_opus":0.01573099669339541,"score_gpt":0.24651305252771566,"score_spread":0.23078205583432024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385566291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044904207,0.00012963238,0.9926123,0.00041554097,0.00012169491,0.00111128,0.000014475411,0.0010357943,0.00006888053],"genre_scores_gemma":[0.97522956,0.000033480894,0.023893418,0.00007665159,0.000046875582,0.00047358643,0.000019214136,0.000111049536,0.00011614127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987897,0.00003522688,0.0002818116,0.00028962715,0.00025506914,0.000348535],"domain_scores_gemma":[0.9985456,0.00074578513,0.0001289924,0.00033162933,0.00015862982,0.00008936584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068581,0.00027338692,0.00021660692,0.00016275494,0.00011963219,0.000115038405,0.00015336138,0.000078126446,0.0000015942936],"category_scores_gemma":[0.00065499713,0.00021657857,0.000022562353,0.00049173913,0.000022952318,0.00054229423,0.0000146713255,0.00032352383,0.00004374432],"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":[0.00006794941,0.00002139504,0.000041677245,0.00013088934,0.000075650205,0.000009178129,0.00033843954,0.99499667,0.0022532137,0.00018763111,0.0000072281728,0.001870056],"study_design_scores_gemma":[0.0016471809,0.0000357163,0.0009731696,0.000070792245,0.000048312435,0.000014577112,0.00018328872,0.9956832,0.00012697112,0.0000022903655,0.0009559864,0.00025850738],"about_ca_topic_score_codex":0.000016232181,"about_ca_topic_score_gemma":0.000018759569,"teacher_disagreement_score":0.9707392,"about_ca_system_score_codex":0.00009337379,"about_ca_system_score_gemma":0.000016469514,"threshold_uncertainty_score":0.8831818},"labels":[],"label_agreement":null},{"id":"W4386577713","doi":"10.1016/j.conengprac.2023.105691","title":"Coordination control of the automated fiber placement system using photogrammetry-based leader–follower approach","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Robotic Mechanisms and Dynamics","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":"Concordia University","funders":"","keywords":"Workspace; Trajectory; Robot; Photogrammetry; Computer science; Orientation (vector space); Position (finance); Computer vision; Control theory (sociology); Control engineering; Engineering; Artificial intelligence; Simulation; Control (management); Mathematics","score_opus":0.010760498072942092,"score_gpt":0.21787235277161107,"score_spread":0.20711185469866897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386577713","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015974332,0.00010660218,0.9940502,0.00009558657,0.00086339324,0.00071904354,0.000024501329,0.001921714,0.0006215267],"genre_scores_gemma":[0.9825426,0.0000015155633,0.017127283,0.00004629583,0.00005745861,0.00007484099,0.000011006768,0.000077987075,0.000061058745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856734,0.000073839175,0.0004062143,0.00020158793,0.00037054843,0.0003804577],"domain_scores_gemma":[0.9987557,0.00050691154,0.00014028004,0.00039395905,0.00012769362,0.00007543596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007028546,0.00024510574,0.00034515237,0.00017546535,0.000076058524,0.00005449019,0.000213749,0.00014108408,0.000006958872],"category_scores_gemma":[0.00037124622,0.00021097288,0.00013673323,0.0007025307,0.000016536307,0.00016861956,0.000020356745,0.00024330152,0.000020784017],"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":[0.000029203666,0.000027876411,0.000009741577,0.00033953442,0.00018654922,0.0000054465436,0.000042367537,0.9902597,0.007959741,0.0009104942,0.00011101926,0.000118331234],"study_design_scores_gemma":[0.0021400447,0.000024177194,0.000054829627,0.00009778482,0.0002451861,0.000015450441,0.00016359484,0.99611384,0.00023748876,8.105749e-7,0.00069709105,0.00020972674],"about_ca_topic_score_codex":0.000042524316,"about_ca_topic_score_gemma":6.400824e-7,"teacher_disagreement_score":0.9809451,"about_ca_system_score_codex":0.00020329577,"about_ca_system_score_gemma":0.000043317687,"threshold_uncertainty_score":0.8603225},"labels":[],"label_agreement":null},{"id":"W4387210387","doi":"10.1016/j.conengprac.2023.105722","title":"Modelling and model-based tracking control of soft twisted and coiled actuators","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Soft Robotics and Applications","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":"Concordia University","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Actuator; Controller (irrigation); Hysteresis; Inverse; System dynamics; Inverse dynamics; Compensation (psychology); Computer science; Control system; Control engineering; Engineering; Control (management); Mathematics; Artificial intelligence; Physics","score_opus":0.013855864423051627,"score_gpt":0.22821994083372066,"score_spread":0.21436407641066904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387210387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018108211,0.0005465994,0.9801919,0.00023953301,0.00007237033,0.00024409585,0.000021950109,0.00051484496,0.00006050107],"genre_scores_gemma":[0.9916782,0.00007662388,0.008027679,0.000053287138,0.000036577687,0.000056435292,0.000005750496,0.00005827174,0.00000720237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991699,0.00001255941,0.00026278896,0.00018081466,0.00012951536,0.00024445888],"domain_scores_gemma":[0.998314,0.001248349,0.000059458805,0.00018871058,0.000083192186,0.00010626145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028725297,0.00017814699,0.00026999824,0.00014208052,0.000050544,0.000049777736,0.00007708838,0.000088351975,0.0000015173514],"category_scores_gemma":[0.00028505773,0.00019913474,0.000038588492,0.00023416472,0.000025716748,0.00020745807,0.000010896995,0.00019430002,0.0000033648764],"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":[0.000015919126,0.000010523358,0.000030347466,0.00010436585,0.00007717798,0.0000027562935,0.000112178255,0.9948835,0.002337494,0.0010153913,0.000015777492,0.0013945926],"study_design_scores_gemma":[0.0013921983,0.00001448153,0.00007924975,0.00003829596,0.00013783111,0.0000049163928,0.000028035178,0.9972892,0.00016426915,0.000057693254,0.0006087173,0.00018515931],"about_ca_topic_score_codex":0.0000072106463,"about_ca_topic_score_gemma":4.0193453e-7,"teacher_disagreement_score":0.97357,"about_ca_system_score_codex":0.00002115634,"about_ca_system_score_gemma":0.000019304904,"threshold_uncertainty_score":0.8120479},"labels":[],"label_agreement":null},{"id":"W4387591357","doi":"10.1016/j.conengprac.2023.105731","title":"Predictor-based model predictive control for maglev planar motor with a 2D Halbach array mover","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Maglev; Model predictive control; Control theory (sociology); Tracking error; Kalman filter; Acceleration; Controller (irrigation); Engineering; Computer science; Control (management); Artificial intelligence; Physics","score_opus":0.006988788944428335,"score_gpt":0.20281876022685116,"score_spread":0.19582997128242283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387591357","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001863154,0.00012933674,0.99294215,0.0006384847,0.00032640327,0.0011860948,0.00045866272,0.0014705709,0.0009851184],"genre_scores_gemma":[0.9785821,0.000017415518,0.019397134,0.00032636017,0.0002082662,0.00089739606,0.00006363778,0.00016084034,0.00034688867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984197,0.000024774785,0.000330975,0.00033434952,0.00033769215,0.00055251364],"domain_scores_gemma":[0.997766,0.0014028259,0.00008990996,0.00034166014,0.0002087936,0.00019081957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042024738,0.00034814863,0.00036676545,0.000216971,0.00007717182,0.000100346595,0.00020218271,0.0001564187,0.000013593899],"category_scores_gemma":[0.00068867364,0.0003410425,0.000103063845,0.00028578236,0.000027190776,0.0004123435,0.000005871919,0.0003470729,0.000025217068],"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":[0.0004958345,0.000030374342,0.00003528587,0.00021458387,0.0002641914,0.000011524238,0.00014679597,0.9928388,0.003973573,0.001005134,0.0008111726,0.00017270594],"study_design_scores_gemma":[0.005095474,0.00028489233,0.0006994308,0.000061357416,0.0002766148,0.000008081796,0.00005432484,0.9841348,0.00003338836,0.000039463885,0.008944581,0.0003675697],"about_ca_topic_score_codex":0.0000086227055,"about_ca_topic_score_gemma":0.0000038582416,"teacher_disagreement_score":0.9767189,"about_ca_system_score_codex":0.00010976356,"about_ca_system_score_gemma":0.00007529132,"threshold_uncertainty_score":0.99990416},"labels":[],"label_agreement":null},{"id":"W4389408081","doi":"10.1016/j.conengprac.2023.105812","title":"Alarm correlation analysis with applications to industrial alarm management","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ALARM; Benchmark (surveying); Process (computing); Computer science; Data mining; Event (particle physics); Manual fire alarm activation; Reliability engineering; Artificial intelligence; Engineering","score_opus":0.009489156502762545,"score_gpt":0.2270434021072363,"score_spread":0.21755424560447376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389408081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011375733,0.00008198678,0.99018306,0.00053490954,0.00051267067,0.0010767537,0.000016134656,0.0019517414,0.004505184],"genre_scores_gemma":[0.9971755,0.000019355863,0.000868297,0.00010342577,0.00024941345,0.0010289677,0.00002504237,0.00005160456,0.0004783727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887717,0.000028389904,0.00026919757,0.00024317171,0.0002790001,0.0003030884],"domain_scores_gemma":[0.99913585,0.00025063133,0.00004839234,0.00034717933,0.0000667788,0.00015116796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036837504,0.00019124975,0.00025439638,0.00062140997,0.000070731556,0.000099420955,0.00014061901,0.00009404455,0.000016538286],"category_scores_gemma":[0.0000843841,0.00019531966,0.000080927544,0.0026724723,0.000005301663,0.00024371968,0.000015931382,0.00023541095,0.00045056728],"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":[0.000058043057,0.000011344203,0.00007706497,0.000020812216,0.0013332142,0.000014124243,0.00006254726,0.99040526,0.00016283279,0.00046719037,0.00054165773,0.0068459264],"study_design_scores_gemma":[0.00095471466,0.00003418656,0.000850116,0.000011276423,0.0006957469,0.000006499014,0.000109408575,0.71270454,0.0000122532465,0.000001181147,0.2844363,0.00018379868],"about_ca_topic_score_codex":0.000017399016,"about_ca_topic_score_gemma":0.000008372634,"teacher_disagreement_score":0.99603796,"about_ca_system_score_codex":0.00011106694,"about_ca_system_score_gemma":0.000008077002,"threshold_uncertainty_score":0.7964905},"labels":[],"label_agreement":null},{"id":"W4390628613","doi":"10.1016/j.conengprac.2023.105834","title":"Data-driven reference trajectory optimization for precision motion systems","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"NCCR Catalysis; Innosuisse - Schweizerische Agentur für Innovationsförderung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Trajectory; Computer science; Acceleration; Position (finance); Control theory (sociology); Tracking (education); Tree traversal; Motion (physics); Trajectory optimization; Motion control; Fidelity; Compensation (psychology); Controller (irrigation); Artificial intelligence; Algorithm; Robot; Control (management)","score_opus":0.026576329968158733,"score_gpt":0.27147979635461844,"score_spread":0.2449034663864597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390628613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011629288,0.0066722427,0.9862949,0.00011870354,0.0032580236,0.00095099164,0.00020666624,0.0016872918,0.000694857],"genre_scores_gemma":[0.9878071,0.00007681657,0.010442519,0.000018208224,0.0008178302,0.00028185584,0.00026029677,0.00013235505,0.00016302783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851453,0.00009989035,0.00040952011,0.00042007654,0.00024123267,0.00031474273],"domain_scores_gemma":[0.99744254,0.0017060869,0.000057921916,0.0005463308,0.00016697607,0.00008016458],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088499073,0.00025802053,0.00029773475,0.00020218703,0.00006135061,0.00047016755,0.00031308454,0.00015761182,0.000011818699],"category_scores_gemma":[0.0012672096,0.0002626251,0.000051200543,0.00021387714,0.000008517219,0.0016329528,0.00002488893,0.00037236445,0.000051785893],"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":[0.000029234508,0.000009044259,0.0000017958274,0.0004768793,0.00019533586,0.00000906021,0.00009747684,0.9925578,0.001664897,0.0009255406,0.0012504912,0.0027824135],"study_design_scores_gemma":[0.00051139685,0.000042023854,0.000016426171,0.00022994593,0.00012744406,0.000031512187,0.000019759134,0.8185865,0.000008453422,9.696e-7,0.18020838,0.00021716987],"about_ca_topic_score_codex":0.000009025121,"about_ca_topic_score_gemma":0.0000010010781,"teacher_disagreement_score":0.9876908,"about_ca_system_score_codex":0.00019363427,"about_ca_system_score_gemma":0.000031664862,"threshold_uncertainty_score":0.9999826},"labels":[],"label_agreement":null},{"id":"W4390628725","doi":"10.1016/j.conengprac.2023.105838","title":"Machine learning approaches for identification of heat release shapes in a low temperature combustion engine for control applications","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Support vector machine; Combustion; Artificial intelligence; Computer science; Machine learning; Cluster analysis; Chemistry","score_opus":0.011031550076116826,"score_gpt":0.24660399623049423,"score_spread":0.2355724461543774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390628725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017823145,0.003913597,0.9917222,0.001168411,0.00013725925,0.0016625698,0.0001475013,0.0010558087,0.0000143886955],"genre_scores_gemma":[0.98587954,0.000092155606,0.010883192,0.00002455693,0.00014173255,0.0026675586,0.00011236648,0.000094076415,0.00010484813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984608,0.000024292052,0.0006020016,0.0004228071,0.00015646282,0.00033358348],"domain_scores_gemma":[0.9969869,0.0024098032,0.00010838399,0.0002570439,0.00017957155,0.00005829913],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005860332,0.00027811952,0.0003871555,0.00035975082,0.000056092445,0.000057473495,0.00018903191,0.00022179823,0.0000030808771],"category_scores_gemma":[0.0034964783,0.00029618113,0.00014360176,0.00050911505,0.000026713951,0.0005112173,0.000019443833,0.00059404026,0.000003823068],"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":[0.00015192895,0.000074675474,0.0000032147154,0.0010335143,0.00011073671,0.0000021131834,0.000052469975,0.96435297,0.016073333,0.013706516,0.000011937065,0.0044265757],"study_design_scores_gemma":[0.0018522236,0.00006467701,0.00001692693,0.00018506264,0.00016490389,0.000014956284,0.00007306832,0.98860997,0.002332266,0.00017309395,0.006245515,0.00026734752],"about_ca_topic_score_codex":0.000004867028,"about_ca_topic_score_gemma":6.6310787e-7,"teacher_disagreement_score":0.98570126,"about_ca_system_score_codex":0.00015946545,"about_ca_system_score_gemma":0.000031978347,"threshold_uncertainty_score":0.99994904},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4390891847","doi":"10.1016/j.conengprac.2024.105850","title":"Relevance vector machine with hybrid kernel-based soft sensor via data augmentation for incomplete output data in sintering process","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Soft sensor; Computer science; Kernel (algebra); Support vector machine; Data mining; Key (lock); Relevance vector machine; Process (computing); Fuzzy logic; Relevance (law); Cluster analysis; Artificial intelligence; Mathematics","score_opus":0.022204711536093207,"score_gpt":0.28445555791334187,"score_spread":0.26225084637724866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390891847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056476397,0.0018882372,0.9881506,0.00073953887,0.0003450379,0.00061217684,0.00059176626,0.0019985244,0.000026470496],"genre_scores_gemma":[0.95452535,0.000036534155,0.044567637,0.000054711505,0.00011719183,0.000113529,0.0004352824,0.000134945,0.000014788311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833834,0.000013021331,0.00036045467,0.00064946664,0.00021267805,0.00042604748],"domain_scores_gemma":[0.9969349,0.0017014401,0.00006174403,0.0011794193,0.000059919155,0.000062593615],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002241958,0.00032520885,0.00031721644,0.00015418658,0.00003102834,0.00011710363,0.00082387455,0.00007678557,0.000003973139],"category_scores_gemma":[0.002307025,0.00031947796,0.000023530527,0.00028638987,0.000031789088,0.0015147751,0.00011864819,0.0005092309,0.000012751998],"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":[0.00019418016,0.000024044599,0.000011132826,0.001010153,0.000119006945,0.00010231376,0.000026915171,0.9410771,0.046335183,0.00002179143,0.0000956173,0.010982523],"study_design_scores_gemma":[0.0011603605,0.000049717884,0.00001648516,0.00032306783,0.00009960452,0.000061591796,0.000025841078,0.9618045,0.01123472,0.000023396848,0.024828942,0.0003717474],"about_ca_topic_score_codex":0.000011092248,"about_ca_topic_score_gemma":0.000009637701,"teacher_disagreement_score":0.94887775,"about_ca_system_score_codex":0.00020414914,"about_ca_system_score_gemma":0.00001586295,"threshold_uncertainty_score":0.99992573},"labels":[],"label_agreement":null},{"id":"W4391242181","doi":"10.1016/j.conengprac.2024.105854","title":"High-gain disturbance observer for robust trajectory tracking of quadrotors","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Trajectory; Robustness (evolution); Disturbance (geology); Computer science; Lyapunov stability; Controller (irrigation); Tracking (education); Lyapunov function; Stability (learning theory); Convergence (economics); Robust control; Control engineering; Mathematics; Control system; Engineering; Control (management); Nonlinear system; Artificial intelligence","score_opus":0.018169794257952177,"score_gpt":0.2331904015895508,"score_spread":0.2150206073315986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391242181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025824737,0.011964055,0.98008955,0.0001994142,0.0029734503,0.0008755327,0.00011607244,0.0009922057,0.00020726671],"genre_scores_gemma":[0.9820021,0.000041185558,0.016511222,0.00003191444,0.0008551995,0.00024019711,0.000011499478,0.00017003517,0.00013664397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998451,0.000043849144,0.0005465003,0.00030984578,0.00024348024,0.00040532305],"domain_scores_gemma":[0.9969966,0.0023444796,0.00008010936,0.0003173016,0.00015952674,0.00010200432],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068177725,0.00032719385,0.00051151216,0.0001632497,0.0000327609,0.00009239927,0.00023401517,0.00014846961,0.000011503498],"category_scores_gemma":[0.0010427678,0.00033964368,0.00021998462,0.00024714836,0.000024125879,0.0007773432,0.000012369372,0.00035937526,0.000017742215],"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":[0.0000690685,0.000023630253,0.000009938774,0.00081672997,0.00045853684,0.000027510585,0.00016907488,0.98421973,0.008164975,0.002302347,0.000622557,0.00311591],"study_design_scores_gemma":[0.0010428298,0.00007429229,0.00034423146,0.00029775835,0.00020571022,0.000019304258,0.00005026572,0.9348895,0.0005902173,0.0000075761545,0.062139045,0.00033926946],"about_ca_topic_score_codex":0.0000248667,"about_ca_topic_score_gemma":0.000004420287,"teacher_disagreement_score":0.97941965,"about_ca_system_score_codex":0.00017831134,"about_ca_system_score_gemma":0.000044878703,"threshold_uncertainty_score":0.9999056},"labels":[],"label_agreement":null},{"id":"W4394903886","doi":"10.1016/j.conengprac.2024.105949","title":"Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Horizon 2020 Framework Programme; European Commission; Queen's University; European Cooperation in Science and Technology; Queen's University Belfast","keywords":"Energy (signal processing); Computer science; Scaling; Energy modeling; Key (lock); Simulation; Industrial engineering; Engineering; Control engineering; Systems engineering; Efficient energy use; Electrical engineering","score_opus":0.05063120516363675,"score_gpt":0.23819256111097903,"score_spread":0.18756135594734227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394903886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018585923,0.020078078,0.9763973,0.000020899213,0.0006087078,0.00009554547,0.00008707437,0.0002280012,0.0006258243],"genre_scores_gemma":[0.9961142,0.0001183072,0.0034604494,0.000006028905,0.00015054175,0.000023494793,0.000053198517,0.000057240846,0.000016572696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989936,0.000032254073,0.00039313667,0.00021533569,0.00019803748,0.00016764706],"domain_scores_gemma":[0.99898446,0.00046326508,0.000058349662,0.00037536744,0.000058763824,0.00005982002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003368561,0.00017763433,0.00029141374,0.0001527398,0.00001539402,0.000055609453,0.00012213325,0.000090526824,0.0000016746777],"category_scores_gemma":[0.00004761728,0.00018232338,0.000036792524,0.00014450373,0.000013893405,0.0008032776,0.000022366436,0.00011249238,8.054236e-7],"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":[0.000013719276,0.000018141342,4.1581973e-7,0.0005177401,0.00016520736,0.000009682319,0.00010107232,0.98209167,0.012616212,0.0042050043,0.00008441102,0.00017671565],"study_design_scores_gemma":[0.0003361562,0.000031918833,3.1172868e-7,0.0002877251,0.000099423174,0.000024090728,0.000096802934,0.9861658,0.007123814,0.000008334317,0.005664524,0.00016109481],"about_ca_topic_score_codex":0.0001651134,"about_ca_topic_score_gemma":5.596931e-7,"teacher_disagreement_score":0.9942556,"about_ca_system_score_codex":0.000041187053,"about_ca_system_score_gemma":0.00002825063,"threshold_uncertainty_score":0.74349314},"labels":[],"label_agreement":null},{"id":"W4396758437","doi":"10.1016/j.conengprac.2024.105955","title":"Enhanced industrial process modeling with transfer-incremental-learning: A parallel SAE approach and its application to a sulfur recovery unit","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Process (computing); Sulfur; Unit (ring theory); Process engineering; Process modeling; Transfer (computing); Computer science; Transfer of learning; Engineering; Work in process; Materials science; Parallel computing; Artificial intelligence; Operations management; Mathematics; Metallurgy; Mathematics education","score_opus":0.014175018093471157,"score_gpt":0.2298096562126153,"score_spread":0.21563463811914413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396758437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057184543,0.0010561141,0.9381608,0.00016029738,0.00023497468,0.0010393037,0.0000065324507,0.001086975,0.0010704927],"genre_scores_gemma":[0.9982557,0.00004822518,0.00040457037,0.000044764187,0.0002667345,0.0008117306,0.0000082702445,0.00009154379,0.00006845414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873096,0.0000459186,0.00029643963,0.00036667078,0.00024464718,0.00031538986],"domain_scores_gemma":[0.99941194,0.00018628874,0.000019099121,0.00014041032,0.00007704957,0.00016519848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039637476,0.00027617736,0.00028758473,0.00019656404,0.00006692477,0.00020102173,0.00010757564,0.00014682394,0.0000039870256],"category_scores_gemma":[0.00016752203,0.00026976454,0.00004277988,0.00044887775,0.0000047999047,0.0006055173,0.000007750654,0.00058005797,0.000024285602],"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":[0.00026153686,0.000014677588,9.27061e-7,0.00025540573,0.00021054568,0.00000502072,0.00042697534,0.9635864,0.031083984,0.00030010182,0.000004372857,0.003850037],"study_design_scores_gemma":[0.0015186339,0.00014773733,0.000003133113,0.0001379747,0.000132799,0.00006500697,0.0003590296,0.99153125,0.0006196604,0.0000020804912,0.0051731155,0.00030959572],"about_ca_topic_score_codex":0.000020377558,"about_ca_topic_score_gemma":0.000005279336,"teacher_disagreement_score":0.94107115,"about_ca_system_score_codex":0.000089806534,"about_ca_system_score_gemma":0.00003885848,"threshold_uncertainty_score":0.99997544},"labels":[],"label_agreement":null},{"id":"W4399557384","doi":"10.1016/j.conengprac.2024.105988","title":"A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Path (computing); Artificial neural network; Process (computing); Fault (geology); Fault detection and isolation; Computer science; Artificial intelligence; Machine learning; Data mining; Geology; Seismology","score_opus":0.0062051147594119815,"score_gpt":0.22496356049738822,"score_spread":0.21875844573797623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399557384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01595768,0.0044587776,0.9760838,0.00013922915,0.0012431239,0.0011490217,0.00001309892,0.0008881986,0.00006705698],"genre_scores_gemma":[0.99663216,0.00002144311,0.00026012224,0.000038619182,0.0002716236,0.0026905793,0.0000036826193,0.000068377696,0.000013384317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891305,0.000030451738,0.00033900564,0.000266177,0.00013614907,0.00031514556],"domain_scores_gemma":[0.9991103,0.00059174554,0.000036670674,0.00011990598,0.00006589355,0.000075518336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004075251,0.0002119092,0.00025976112,0.00012941417,0.000033524288,0.00023854696,0.00006948499,0.00014032984,7.0851416e-7],"category_scores_gemma":[0.0003956942,0.00021720857,0.000056459732,0.00026017957,0.000008204947,0.000552843,0.000005537758,0.0003018851,0.000002219355],"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":[0.000090115325,0.000011182364,0.000008722618,0.00088879804,0.000052148232,0.0000056810645,0.000120797835,0.9898539,0.004300788,0.00009051407,0.000031960328,0.004545386],"study_design_scores_gemma":[0.00093875034,0.000042769716,0.000006628107,0.0003129705,0.000076733464,0.000030118914,0.000031817304,0.99565846,0.00026412253,0.000008159357,0.0024026134,0.0002268441],"about_ca_topic_score_codex":0.00001967205,"about_ca_topic_score_gemma":0.000006894777,"teacher_disagreement_score":0.9806745,"about_ca_system_score_codex":0.00014839521,"about_ca_system_score_gemma":0.000022966753,"threshold_uncertainty_score":0.88575083},"labels":[],"label_agreement":null},{"id":"W4399698316","doi":"10.1016/j.conengprac.2024.106003","title":"A dynamic correction method for the optimal value settings of the solution purification process at multiple time scales","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control 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":"University of Alberta","funders":"Fundamental Research Funds for Central Universities of the Central South University; National Key Research and Development Program of China; National Natural Science Foundation of China; International Cooperation and Exchange Programme; Ministry of Science and Technology of the People's Republic of China; Central South University","keywords":"Process (computing); Value (mathematics); Process engineering; Control theory (sociology); Computer science; Mathematics; Engineering; Statistics; Control (management); Artificial intelligence","score_opus":0.004034946216984765,"score_gpt":0.2444312366534549,"score_spread":0.24039629043647012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399698316","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016912494,0.00234381,0.9899706,0.0014227439,0.0028633834,0.00099954,0.000023962382,0.00056936225,0.000115313655],"genre_scores_gemma":[0.9965172,0.000017665016,0.002322367,0.000038361857,0.00013739507,0.0004640806,0.0000046919895,0.000055549477,0.00044272447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904037,0.00006952022,0.0002990407,0.00019264933,0.0001930903,0.00020534596],"domain_scores_gemma":[0.99725574,0.0022745472,0.00008406363,0.00024541488,0.00010813184,0.00003211277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088164106,0.00016473005,0.00017450924,0.000069267866,0.00014277431,0.00007988474,0.0001697761,0.000101655896,0.0000036361537],"category_scores_gemma":[0.0012042462,0.00011651034,0.00014471497,0.00027528495,0.000017366274,0.00029591104,0.000013263671,0.00024169733,0.000019112089],"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":[0.000063234,0.000008179848,0.0000013835985,0.00020942454,0.0001658275,2.7627397e-7,0.00023337801,0.9136829,0.079035014,0.0000490959,0.00042874744,0.0061225537],"study_design_scores_gemma":[0.00046064088,0.000024355952,0.000115694034,0.000092367685,0.00020072903,0.00006734552,0.000092205286,0.96545947,0.0026546398,0.0000030677122,0.030704755,0.00012470316],"about_ca_topic_score_codex":0.000023540246,"about_ca_topic_score_gemma":0.000008482852,"teacher_disagreement_score":0.9948259,"about_ca_system_score_codex":0.00019803301,"about_ca_system_score_gemma":0.000022309578,"threshold_uncertainty_score":0.47511536},"labels":[],"label_agreement":null},{"id":"W4402327894","doi":"10.1016/j.conengprac.2024.106069","title":"Cyclic mining of alarm and operator action events for enhanced process operation","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ALARM; Operator (biology); Process (computing); Action (physics); Computer science; Engineering; Electrical engineering; Chemistry; Physics; Operating system","score_opus":0.008347111498773225,"score_gpt":0.27409880455981306,"score_spread":0.26575169306103985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402327894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18713085,0.0032209018,0.8054599,0.00022495288,0.0021350302,0.00081489614,0.000019301071,0.00070051727,0.00029360966],"genre_scores_gemma":[0.9987698,0.00006813616,0.0005300004,0.000026037673,0.00021601334,0.0002834033,0.000003804654,0.000047018984,0.00005575282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928045,0.000018399114,0.00025843267,0.00017029098,0.00011285373,0.00015956105],"domain_scores_gemma":[0.9994187,0.00032651937,0.000030183095,0.00009653943,0.00007352095,0.00005455035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027806524,0.00014408062,0.00019637335,0.000110812434,0.000036510253,0.000076460055,0.00005250437,0.00008396872,0.000005013452],"category_scores_gemma":[0.0003331848,0.00014751541,0.000044338456,0.00012723941,0.000005181659,0.0006389548,0.0000040344885,0.00012127833,0.0000058097758],"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":[0.00007070136,0.000012326165,0.0000034033073,0.00090045406,0.00022406528,0.0000016003802,0.00053160853,0.61555433,0.37272593,0.00019957323,0.000052165877,0.009723867],"study_design_scores_gemma":[0.0008996751,0.000058532834,0.000033969965,0.00013141091,0.000091381626,0.000023093295,0.00021732725,0.96216226,0.022788571,0.000002991018,0.013437319,0.00015348809],"about_ca_topic_score_codex":0.000003975718,"about_ca_topic_score_gemma":0.000002082708,"teacher_disagreement_score":0.811639,"about_ca_system_score_codex":0.00004686449,"about_ca_system_score_gemma":0.0000196309,"threshold_uncertainty_score":0.60155034},"labels":[],"label_agreement":null},{"id":"W4403687047","doi":"10.1016/j.conengprac.2024.106125","title":"Practical solution for attenuating industrial heavy vehicle vibration: A new gain-adaptive coordinated suspension control system","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Suspension (topology); Control theory (sociology); Vibration; Vibration control; Control engineering; Control (management); Active suspension; Engineering; Automotive engineering; Computer science; Physics; Mathematics; Actuator; Acoustics; Electrical engineering","score_opus":0.03256508546657108,"score_gpt":0.26111179100853904,"score_spread":0.22854670554196796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403687047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020863839,0.001227538,0.9846045,0.0074383374,0.0026264172,0.0012289296,0.0000382314,0.002145973,0.00048145215],"genre_scores_gemma":[0.98591334,0.0000126599525,0.011294291,0.00027707024,0.0020677985,0.00020664405,0.000027698314,0.00009183147,0.000108647226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792296,0.00014351337,0.0006309974,0.0004356545,0.00030248624,0.00056439673],"domain_scores_gemma":[0.9954398,0.003750887,0.0000790829,0.00023293101,0.0002339802,0.0002633009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095315825,0.00037344065,0.00048737673,0.00016141983,0.00017419674,0.00035562512,0.00012855562,0.00038813544,0.000029348792],"category_scores_gemma":[0.0027697664,0.000349179,0.00018013541,0.00039218058,0.000025052475,0.001349167,0.000021564952,0.0006993853,0.00009305737],"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":[0.0011337703,0.000045479173,0.0000043500295,0.00020701908,0.0006581197,0.00011551457,0.000117032534,0.89273447,0.0392052,0.04365521,0.014681609,0.0074422196],"study_design_scores_gemma":[0.004304109,0.00030381163,0.000018476248,0.00021247705,0.00035886499,0.00011502785,0.00007752883,0.974626,0.000475628,0.000025325118,0.01910307,0.00037968546],"about_ca_topic_score_codex":0.000029354738,"about_ca_topic_score_gemma":0.0000023263954,"teacher_disagreement_score":0.9857047,"about_ca_system_score_codex":0.0003241564,"about_ca_system_score_gemma":0.00018147004,"threshold_uncertainty_score":0.99989605},"labels":[],"label_agreement":null},{"id":"W4403714792","doi":"10.1016/j.conengprac.2024.106130","title":"Hierarchical grouping and visualization of correlated alarms using time-augmented word embedding","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Visualization; Word (group theory); Computer science; Word embedding; Embedding; Artificial intelligence; Natural language processing; Pattern recognition (psychology); Speech recognition; Mathematics","score_opus":0.0066757331710367565,"score_gpt":0.2670445899898179,"score_spread":0.26036885681878114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403714792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025397671,0.0013956481,0.9716112,0.0001873473,0.0007950721,0.00017843403,8.596108e-7,0.00039044037,0.000043331227],"genre_scores_gemma":[0.9857022,0.000031941036,0.014112035,0.00004347593,0.000065276225,0.0000062479735,0.0000017437552,0.00001625213,0.000020795445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989707,0.00007079302,0.0003006559,0.00027084784,0.00020003217,0.00018697309],"domain_scores_gemma":[0.9987107,0.0008473441,0.00007708017,0.00021320714,0.00008949693,0.00006218023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075966754,0.00012523822,0.00019438985,0.0001612829,0.000055632125,0.0001494796,0.00015156376,0.00008306022,0.0000037797802],"category_scores_gemma":[0.0006462287,0.00011414909,0.00004185048,0.00047522163,0.000020351259,0.0011835395,0.000072427654,0.00019451643,0.000008661354],"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":[0.00009699037,0.00011327926,0.0007285655,0.0012121904,0.00047813533,0.00008903764,0.0028359792,0.9227755,0.027328169,0.010935047,0.000090479065,0.033316642],"study_design_scores_gemma":[0.0003271505,0.000035308363,0.00031009325,0.00032808204,0.000048289134,0.00010323475,0.000010122221,0.99728143,0.00012401342,0.000019113895,0.0012918243,0.00012132352],"about_ca_topic_score_codex":0.000014540164,"about_ca_topic_score_gemma":5.884957e-8,"teacher_disagreement_score":0.96030456,"about_ca_system_score_codex":0.000057428613,"about_ca_system_score_gemma":0.000046599318,"threshold_uncertainty_score":0.46548647},"labels":[],"label_agreement":null},{"id":"W4404331552","doi":"10.1016/j.conengprac.2024.106157","title":"Sliding-mode energy management strategy for dual-source electric vehicles handling battery rate of change of current","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Trường Đại học Bách Khoa Hà Nội","keywords":"Current (fluid); Battery (electricity); Dual (grammatical number); Automotive engineering; Dual mode; Mode (computer interface); Energy management; Electrical engineering; Electric vehicle; Energy (signal processing); Computer science; Engineering; Power (physics); Physics; Aerospace engineering","score_opus":0.04096400021462038,"score_gpt":0.31161290935058966,"score_spread":0.2706489091359693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404331552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044492306,0.016592823,0.9770519,0.000184109,0.0004267944,0.00043951964,0.000028300978,0.0007192558,0.0001080294],"genre_scores_gemma":[0.9953698,0.0020513928,0.0019094436,0.000017390492,0.00014027314,0.00037007587,0.000007809363,0.00009238737,0.000041439536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986705,0.000027922677,0.0003908199,0.00026603852,0.00018664463,0.00045806615],"domain_scores_gemma":[0.9982306,0.0012428184,0.000067956506,0.00030675283,0.000100318524,0.000051597177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038282704,0.00023705298,0.00033098029,0.0005080551,0.00002698207,0.000047717527,0.00022623217,0.0000919954,0.0000042770653],"category_scores_gemma":[0.0002858552,0.00025032842,0.00009885211,0.0005063718,0.000016056229,0.00048168673,0.00005835957,0.0003144465,0.000003183427],"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":[0.000058396472,0.000032391916,0.000003958964,0.002004816,0.0003386199,0.00001949385,0.00005583516,0.8138892,0.053910192,0.0063288943,0.00018302078,0.12317515],"study_design_scores_gemma":[0.0005436499,0.00010428486,0.000037379526,0.00032572923,0.000119027085,0.00000861678,0.000039997405,0.9237507,0.0287781,0.00011059048,0.0459517,0.00023024208],"about_ca_topic_score_codex":0.000009089577,"about_ca_topic_score_gemma":7.0411045e-7,"teacher_disagreement_score":0.99092054,"about_ca_system_score_codex":0.00011543882,"about_ca_system_score_gemma":0.000016298118,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W4404917641","doi":"10.1016/j.conengprac.2024.106183","title":"A semi-centralized multi-agent RL framework for efficient irrigation scheduling","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Computer science; Multi-agent system; Distributed computing; Scheduling (production processes); Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.01596670665170339,"score_gpt":0.28777967915878044,"score_spread":0.27181297250707703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404917641","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012536185,0.002308032,0.9894817,0.0059074378,0.0010070138,0.00051293086,0.000009967528,0.000612042,0.000035512872],"genre_scores_gemma":[0.33561218,0.000018157014,0.66368675,0.00017339655,0.00019395769,0.00025279008,0.000004411375,0.000015963045,0.000042370462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989363,0.000025472795,0.00022161959,0.00036296184,0.0001751506,0.0002784891],"domain_scores_gemma":[0.9979914,0.0014187708,0.000056165707,0.00031716208,0.00011807332,0.00009844467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004587845,0.00013749399,0.00012298817,0.00008201485,0.0001287244,0.00024644885,0.00026796403,0.000076565804,0.0000039203446],"category_scores_gemma":[0.00085278216,0.00013824673,0.00009318976,0.00036042725,0.000009903226,0.0004554688,0.00004167044,0.00023677964,0.00005457699],"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":[0.000004253195,0.00005794851,4.8997725e-7,0.000034757395,0.000040024213,0.0000038067185,0.00015510203,0.58638185,0.00059276115,0.41045415,0.000040852497,0.0022339874],"study_design_scores_gemma":[0.00046823133,0.00001968091,0.000049649294,0.00008851913,0.00004179801,0.000020625013,0.00001502398,0.93162966,0.000082260325,0.00066232553,0.06677296,0.00014927186],"about_ca_topic_score_codex":0.000004847445,"about_ca_topic_score_gemma":9.941688e-8,"teacher_disagreement_score":0.40979183,"about_ca_system_score_codex":0.00010516107,"about_ca_system_score_gemma":0.00007310694,"threshold_uncertainty_score":0.5637538},"labels":[],"label_agreement":null},{"id":"W4405098677","doi":"10.1016/j.conengprac.2024.106197","title":"Direct voltage MTPA control of interior permanent magnet synchronous motor driven electric vehicles","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electric vehicle; Permanent magnet synchronous motor; Magnet; Control (management); Voltage; Control theory (sociology); Permanent magnet synchronous generator; Synchronous motor; Automotive engineering; Engineering; Electrical engineering; Computer science; Physics; Power (physics)","score_opus":0.003671225109136361,"score_gpt":0.20045603825720804,"score_spread":0.19678481314807167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405098677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11795588,0.10094307,0.75645685,0.0009963005,0.0052301334,0.003443348,0.00026641536,0.006680313,0.008027686],"genre_scores_gemma":[0.9978579,0.00041768208,0.0005719654,0.00010674529,0.0005083343,0.00017344134,0.0000063706566,0.00020133636,0.00015622136],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755734,0.00008201146,0.0007130818,0.00046160672,0.00042394723,0.0007619994],"domain_scores_gemma":[0.99667865,0.0023525595,0.000106659216,0.000498956,0.00015212061,0.00021105957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048048975,0.000528541,0.0007835201,0.00059232704,0.000044939945,0.0001660872,0.0003923679,0.00020534448,0.00007473515],"category_scores_gemma":[0.0010170692,0.0005509975,0.000282353,0.0005718012,0.000030341795,0.00063594914,0.000024589637,0.00066766306,0.000117371084],"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":[0.00022821352,0.0000466349,0.00003742204,0.0006829845,0.0013153356,0.0003552662,0.00022088092,0.34321478,0.63698995,0.00063854747,0.0007651468,0.015504836],"study_design_scores_gemma":[0.0017236933,0.00029939006,0.0004932043,0.00018135717,0.00056166225,0.00012676591,0.000018176399,0.95256495,0.004734643,0.000003945311,0.038775936,0.0005162499],"about_ca_topic_score_codex":0.000044099605,"about_ca_topic_score_gemma":0.0000020430182,"teacher_disagreement_score":0.879902,"about_ca_system_score_codex":0.0003653953,"about_ca_system_score_gemma":0.00008178944,"threshold_uncertainty_score":0.99969417},"labels":[],"label_agreement":null},{"id":"W4405637710","doi":"10.1016/j.conengprac.2024.106212","title":"Anomaly detection for drilling tools based on operating mode recognition and interval-augmented Mahalanobis distance","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control 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":"University of British Columbia","funders":"China University of Geosciences, Wuhan; National Natural Science Foundation of China","keywords":"Mahalanobis distance; Interval (graph theory); Anomaly detection; Pattern recognition (psychology); Anomaly (physics); Mode (computer interface); Artificial intelligence; Computer science; Mathematics; Physics; Operating system","score_opus":0.013784730178472666,"score_gpt":0.23775949429022353,"score_spread":0.22397476411175085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405637710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011170175,0.00091214874,0.9839627,0.00020541312,0.001520734,0.00062113587,0.000057629324,0.0011252717,0.00042476988],"genre_scores_gemma":[0.9979199,0.000026056343,0.0010394802,0.00012488556,0.000311249,0.00043621723,0.000018636785,0.00008070656,0.000042848114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898666,0.00003332818,0.0003061654,0.00028682564,0.00013303962,0.0002539831],"domain_scores_gemma":[0.99875045,0.0009195526,0.00003494515,0.00014878181,0.00006880802,0.00007745705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036865522,0.00022964476,0.000224275,0.00016680363,0.00008057361,0.00041040973,0.000057460933,0.000103173705,0.0000051089382],"category_scores_gemma":[0.00055000745,0.0002399949,0.00008368427,0.00016698989,0.0000072309745,0.0006473215,0.0000049494306,0.00026472216,0.000020662064],"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":[0.0001248365,0.000011991313,0.0000024173341,0.00041032454,0.00012726625,0.000010093014,0.00009108456,0.91109097,0.037327353,0.000049370614,0.000034799083,0.05071951],"study_design_scores_gemma":[0.0010980755,0.00013327089,0.000022729875,0.00036978076,0.000091918984,0.000027807082,0.000053369968,0.9709348,0.0026672853,0.0000061411365,0.024336636,0.00025815607],"about_ca_topic_score_codex":0.000019334351,"about_ca_topic_score_gemma":0.0000112677135,"teacher_disagreement_score":0.98674977,"about_ca_system_score_codex":0.0001553591,"about_ca_system_score_gemma":0.00001128306,"threshold_uncertainty_score":0.9786708},"labels":[],"label_agreement":null},{"id":"W4408346432","doi":"10.1016/j.conengprac.2025.106313","title":"Two-stage three-phase photovoltaic grid-connected inverter control method based on off-policy integral reinforcement learning","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Photovoltaic system; Inverter; Grid; Reinforcement learning; Control theory (sociology); Stage (stratigraphy); Phase (matter); Three-phase; Control (management); Computer science; Electronic engineering; Engineering; Mathematics; Electrical engineering; Physics; Voltage; Artificial intelligence; Biology","score_opus":0.007856394716716102,"score_gpt":0.30010370410503107,"score_spread":0.29224730938831495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408346432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008961503,0.00019477906,0.98985535,0.0041703284,0.00086704205,0.0012824003,0.00001027525,0.0010831095,0.00244708],"genre_scores_gemma":[0.9317844,0.000004748754,0.05946827,0.007457825,0.0002443382,0.0004112701,0.000015320924,0.00005732095,0.00055654155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961879,0.00052198477,0.00074975926,0.0009300124,0.00060677284,0.0010035718],"domain_scores_gemma":[0.9924888,0.00515242,0.00042942684,0.0011935191,0.0004671273,0.0002687005],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021673455,0.00063522457,0.00075771863,0.00089910487,0.00025381913,0.00046466762,0.0012538274,0.00018639484,0.000019561601],"category_scores_gemma":[0.009602523,0.0006252569,0.00028464585,0.0012135642,0.00005439899,0.0011226756,0.00016979656,0.0013445015,0.000050267052],"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":[0.00065289426,0.00018769753,0.000037914295,0.000039652357,0.0003827508,0.00009130243,0.000092753275,0.8923984,0.004372623,0.059103876,0.00008799217,0.042552114],"study_design_scores_gemma":[0.017291093,0.0005568523,0.00007929376,0.00012117749,0.00017285979,0.000011976373,0.000025688685,0.9321932,0.00023615993,0.00005976098,0.048747137,0.0005048037],"about_ca_topic_score_codex":0.0004858302,"about_ca_topic_score_gemma":0.000021528742,"teacher_disagreement_score":0.93169475,"about_ca_system_score_codex":0.00061536924,"about_ca_system_score_gemma":0.0006580913,"threshold_uncertainty_score":0.9996199},"labels":[],"label_agreement":null},{"id":"W4408492975","doi":"10.1016/j.conengprac.2025.106320","title":"Bumpless transfer control for DC-DC buck-boost converter modeled by switched affine systems","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced DC-DC Converters","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":"Concordia University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Shanxi Provincial Postdoctoral Science Foundation","keywords":"Control theory (sociology); Buck converter; Affine transformation; Computer science; Control (management); Mathematics; Engineering; Electrical engineering; Voltage; Artificial intelligence","score_opus":0.005296489010391619,"score_gpt":0.21633223837430207,"score_spread":0.21103574936391045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408492975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043535986,0.0035240392,0.98887277,0.0010518931,0.002186389,0.0019883157,0.0002551139,0.0012174927,0.0004686109],"genre_scores_gemma":[0.99601406,0.00010093791,0.00096859294,0.0007255518,0.00021553252,0.0010795883,0.000048105434,0.00019181507,0.0006558153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974381,0.00006131269,0.00076210866,0.0005594472,0.00028804725,0.0008910088],"domain_scores_gemma":[0.99662596,0.0021546094,0.00006876012,0.0006404433,0.00029253744,0.00021769847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004523619,0.0006481259,0.00094110053,0.0002443999,0.000101381294,0.0001679294,0.00042643186,0.00030707047,0.000022424281],"category_scores_gemma":[0.00061061466,0.0007126167,0.00022485925,0.00031751022,0.000033103363,0.0008745429,0.00001913845,0.0005501969,0.000032634],"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":[0.0006830542,0.00009642233,0.000014148128,0.00087188475,0.0015892942,0.000020269867,0.00016492065,0.8828402,0.089634895,0.004474732,0.0027196736,0.016890483],"study_design_scores_gemma":[0.009212181,0.000058489462,0.000013235491,0.00012045742,0.0005234777,0.000018006987,0.00006951066,0.8754129,0.0007511586,0.000014059953,0.113206625,0.00059992826],"about_ca_topic_score_codex":0.000042318738,"about_ca_topic_score_gemma":0.000004552955,"teacher_disagreement_score":0.9955787,"about_ca_system_score_codex":0.00032752362,"about_ca_system_score_gemma":0.0000659265,"threshold_uncertainty_score":0.9995325},"labels":[],"label_agreement":null},{"id":"W4408657814","doi":"10.1016/j.conengprac.2025.106322","title":"A novel automated soft sensor design tool for industrial applications based on machine learning","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Dairy Association; University of British Columbia","funders":"Mitacs","keywords":"Soft sensor; Soft robotics; Computer science; Engineering; Manufacturing engineering; Artificial intelligence; Control engineering; Robot; Process (computing); Operating system","score_opus":0.014702935958048188,"score_gpt":0.24502161459873276,"score_spread":0.23031867864068456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408657814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003150959,0.00016739573,0.99316937,0.0004895473,0.00069896673,0.0016000898,0.000034499903,0.0032966882,0.0005119153],"genre_scores_gemma":[0.98517364,0.00000417389,0.011568564,0.00035854898,0.0003054055,0.0021210196,0.000019129342,0.00008420193,0.00036529542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988539,0.000061491686,0.00035812586,0.00025074653,0.00015437492,0.00032134118],"domain_scores_gemma":[0.9967298,0.0027562033,0.00007193769,0.00026550042,0.000108265565,0.00006829282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062041124,0.00025588568,0.0003018425,0.00025169298,0.00012977065,0.00011688398,0.00014064254,0.0001976024,0.000006889444],"category_scores_gemma":[0.002097417,0.0002777881,0.00010489774,0.00037577786,0.000008325687,0.00016035192,0.0000069069047,0.00046593533,0.000025762818],"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":[0.00025880054,0.000044658056,0.000004451249,0.00006985826,0.00016261218,0.0000013735975,0.000010290613,0.978962,0.015365349,0.00025472706,0.00044912432,0.004416729],"study_design_scores_gemma":[0.004030174,0.00006380642,0.0000104576175,0.000046483983,0.00010556992,0.0000057115103,0.000010340719,0.7626618,0.0003298013,9.857694e-7,0.23254088,0.00019399778],"about_ca_topic_score_codex":0.000013122847,"about_ca_topic_score_gemma":7.0941115e-7,"teacher_disagreement_score":0.9851422,"about_ca_system_score_codex":0.00015667256,"about_ca_system_score_gemma":0.00005876909,"threshold_uncertainty_score":0.99996746},"labels":[],"label_agreement":null},{"id":"W4409378665","doi":"10.1016/j.conengprac.2025.106341","title":"Proactive management of industrial alarm floods: A reinforcement learning framework for early prediction and operator support","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); Suncor Energy (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ALARM; Operator (biology); Reinforcement; Reinforcement learning; Computer science; Engineering; Artificial intelligence; Structural engineering","score_opus":0.008216132767116106,"score_gpt":0.23415807573487193,"score_spread":0.22594194296775583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409378665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053823628,0.00037367854,0.9885043,0.00014974458,0.0013894878,0.0015527281,0.000012372889,0.0003823797,0.0022529652],"genre_scores_gemma":[0.99674344,0.00006690326,0.0021421497,0.000034985296,0.00014249675,0.0005672496,0.000004054191,0.000030494793,0.00026824474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901736,0.00003016735,0.00037775902,0.00019197552,0.0001521533,0.00023059717],"domain_scores_gemma":[0.99922,0.0003935776,0.00007451758,0.00015840479,0.000090835405,0.000062634135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312012,0.00018090135,0.00027015433,0.00014489326,0.000063618325,0.000065918975,0.00008186715,0.00016363739,0.0000067808182],"category_scores_gemma":[0.00048388992,0.00019653974,0.000060792725,0.00020129002,0.000011235646,0.00031253282,0.000019734704,0.00035289652,0.000002343626],"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":[0.0004583282,0.00002943988,0.00013245369,0.0004060149,0.0017313043,0.0000046218797,0.00031906832,0.97672796,0.0009550272,0.0077338247,0.00015611504,0.011345847],"study_design_scores_gemma":[0.0039820164,0.0003132792,0.00034444022,0.00038125177,0.00047128223,0.0000068906525,0.0005013576,0.9394735,0.0008190691,0.00002141154,0.05347084,0.00021466688],"about_ca_topic_score_codex":0.00001037923,"about_ca_topic_score_gemma":2.2114868e-7,"teacher_disagreement_score":0.9913611,"about_ca_system_score_codex":0.00009403257,"about_ca_system_score_gemma":0.00002061799,"threshold_uncertainty_score":0.8014658},"labels":[],"label_agreement":null},{"id":"W4411183588","doi":"10.1016/j.conengprac.2025.106424","title":"Data-driven dynamic modeling of renewable CO2 emissions in multimode industrial co-processing processes","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Dairy Association; University of British Columbia","funders":"Science Foundation of China University of Petroleum, Beijing; Mitacs","keywords":"Renewable energy; Environmental science; Process engineering; Engineering; Electrical engineering","score_opus":0.02425763382272631,"score_gpt":0.29399707955293614,"score_spread":0.2697394457302098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411183588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009576425,0.002654449,0.9938158,0.00013329569,0.00029472468,0.00047717657,0.000070962335,0.00038337617,0.0012126217],"genre_scores_gemma":[0.98408455,0.00014111471,0.015456828,0.000020902686,0.000057417634,0.00007044575,0.000065378146,0.000056575744,0.00004677758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840885,0.000045403984,0.0006716298,0.0003338829,0.0001977944,0.0003424121],"domain_scores_gemma":[0.99841136,0.0006501238,0.00013606346,0.00052845955,0.00020720992,0.00006676164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042389403,0.00024999204,0.00046301997,0.0003337862,0.000052973974,0.000055618522,0.0004258539,0.00019502266,0.000002862154],"category_scores_gemma":[0.0038008438,0.0002846034,0.000028435032,0.0007102762,0.000014244935,0.00135498,0.000051783874,0.00040707938,0.000001782717],"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":[0.000074033815,0.00003306159,0.000042986834,0.00040053425,0.00007208407,0.000005027119,0.00007866519,0.9946244,0.0032984202,0.000020187239,0.000039212922,0.0013114035],"study_design_scores_gemma":[0.0024620139,0.000010311252,0.0000075497687,0.00065966044,0.00009540161,0.0000045240204,0.0001178906,0.9945009,0.000093984796,0.000010228184,0.0018142055,0.00022333367],"about_ca_topic_score_codex":0.000104759005,"about_ca_topic_score_gemma":0.00005475019,"teacher_disagreement_score":0.98312694,"about_ca_system_score_codex":0.00019449054,"about_ca_system_score_gemma":0.000219598,"threshold_uncertainty_score":0.9999606},"labels":[],"label_agreement":null},{"id":"W4411236028","doi":"10.1016/j.conengprac.2025.106401","title":"Dynamic load compensation and stabilization in bilinear AC/DC rectifiers under unknown load conditions and disturbances","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Microgrid Control and 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":"Concordia University","funders":"","keywords":"Control theory (sociology); Compensation (psychology); Bilinear interpolation; Computer science; Control (management)","score_opus":0.003019866914482537,"score_gpt":0.21723970693435826,"score_spread":0.21421984001987573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411236028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074262284,0.023098946,0.89599514,0.0023129182,0.0010837619,0.0010532333,0.000033847784,0.0006427912,0.0015170819],"genre_scores_gemma":[0.99680704,0.0014801652,0.0014142136,0.000121761885,0.000021196476,0.000050095965,0.000021010988,0.000021852817,0.00006267355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991629,0.000042527325,0.00026497338,0.00022306072,0.000116162526,0.00019034096],"domain_scores_gemma":[0.9990923,0.0005412037,0.000045197452,0.00014104314,0.00013228923,0.000047972113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031821313,0.00017245488,0.00021045136,0.000144608,0.000062966945,0.00010248484,0.000052980868,0.00009964721,0.000006893543],"category_scores_gemma":[0.0006039294,0.00018918164,0.000020693737,0.00031495042,0.00003381469,0.0005401022,0.000015004981,0.00020959823,0.0000021405303],"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":[0.000037861595,0.000023098797,0.00016973398,0.00010081195,0.00006419821,0.0000019887332,0.00015783345,0.99252397,0.0032382905,0.0014401546,0.000043862758,0.0021982198],"study_design_scores_gemma":[0.0016002997,0.000016843424,0.0066828006,0.0000735235,0.00008256794,0.0000071301133,0.00011602355,0.98359156,0.00005298739,0.00009173672,0.0075063277,0.00017818091],"about_ca_topic_score_codex":0.00004077428,"about_ca_topic_score_gemma":0.00014396681,"teacher_disagreement_score":0.9225448,"about_ca_system_score_codex":0.00028210788,"about_ca_system_score_gemma":0.00005831687,"threshold_uncertainty_score":0.77146035},"labels":[],"label_agreement":null},{"id":"W4412603953","doi":"10.1016/j.conengprac.2025.106489","title":"Exponential control barrier function and model predictive control for jerk-level reactive motion planning of quadrotors","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Jerk; Model predictive control; Control theory (sociology); Exponential function; Control (management); Motion planning; Function (biology); Motion (physics); Computer science; Engineering; Control engineering; Physics; Mathematics; Robot; Acceleration; Artificial intelligence; Classical mechanics","score_opus":0.01354537385850045,"score_gpt":0.2425716193219005,"score_spread":0.22902624546340006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412603953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029878928,0.0016298329,0.9906374,0.00016882815,0.0011182236,0.0021522318,0.00044063546,0.00038566723,0.00047925024],"genre_scores_gemma":[0.9955533,0.000011002225,0.0031149632,0.00012995103,0.0003235225,0.0006724207,0.00001643851,0.000091373564,0.00008703439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800116,0.000103191014,0.00071113306,0.00042785928,0.0002892219,0.0004674553],"domain_scores_gemma":[0.9964023,0.002368659,0.00025813867,0.00032186025,0.0005040406,0.00014497487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008646223,0.00043775968,0.0007777963,0.00036584464,0.000101840895,0.000060206807,0.00016527883,0.00028611688,0.0000029154423],"category_scores_gemma":[0.0021654277,0.00048060133,0.00017996022,0.00018469535,0.000052809566,0.0009289007,0.00001957417,0.0004246903,0.000002228554],"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":[0.002445277,0.00005148679,0.00020459805,0.00022379625,0.0014057008,0.0000032447122,0.00017430432,0.9568166,0.035741907,0.0019728737,0.00014937087,0.0008108175],"study_design_scores_gemma":[0.011574259,0.00021715164,0.0023127196,0.0001850748,0.0009981738,0.000008180952,0.00019657206,0.9821704,0.00037699426,0.00010744427,0.0015116124,0.00034141203],"about_ca_topic_score_codex":0.000017680872,"about_ca_topic_score_gemma":0.0000015774251,"teacher_disagreement_score":0.9925654,"about_ca_system_score_codex":0.00020765766,"about_ca_system_score_gemma":0.0000794981,"threshold_uncertainty_score":0.99976456},"labels":[],"label_agreement":null},{"id":"W4412828160","doi":"10.1016/j.conengprac.2025.106485","title":"Real-time classification and early warning of industrial alarm floods using modified TF-IDF methods","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"ALARM; Warning system; Computer science; False alarm; Data mining; Real-time computing; Reliability engineering; Engineering; Artificial intelligence; Telecommunications","score_opus":0.03273437176621574,"score_gpt":0.3290936591413625,"score_spread":0.2963592873751468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412828160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068284767,0.000081298575,0.9908209,0.00058011455,0.00011427223,0.00024179918,0.0000010419418,0.00026171716,0.0010704151],"genre_scores_gemma":[0.6320481,0.000022879121,0.36776006,0.000025664001,0.000038323516,0.000033953103,3.6564327e-7,0.000007375891,0.00006332871],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991024,0.0001214259,0.0002897855,0.0002487925,0.00009750215,0.00014007174],"domain_scores_gemma":[0.99851686,0.0007568098,0.00020010372,0.00035184564,0.00012865558,0.00004572992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089517183,0.000107686974,0.00019163117,0.00017581623,0.00008972475,0.00009171496,0.00023951489,0.000118390024,0.00000148446],"category_scores_gemma":[0.00067970605,0.00011763577,0.00004027368,0.000469801,0.000020044276,0.0005290727,0.00007493767,0.00022077584,0.0000010107743],"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":[0.000062896215,0.00009514974,0.00015545553,0.00004135242,0.0001902359,0.0000021582132,0.00030014434,0.057887197,0.67083097,0.15179569,0.00009010717,0.11854866],"study_design_scores_gemma":[0.00045321076,0.000035498728,0.00071284035,0.000031151718,0.000065612236,0.0000072582006,0.0000130034205,0.9894448,0.0059674648,0.00017092776,0.0029931215,0.00010512611],"about_ca_topic_score_codex":0.00009753661,"about_ca_topic_score_gemma":6.8093456e-8,"teacher_disagreement_score":0.9315576,"about_ca_system_score_codex":0.00003941902,"about_ca_system_score_gemma":0.00006333818,"threshold_uncertainty_score":0.47970474},"labels":[],"label_agreement":null},{"id":"W4412991508","doi":"10.1016/j.conengprac.2025.106513","title":"Systematic framework for deep learning-based predictive injection control with Bayesian hyperparameter optimization for a hydrogen/diesel dual-fuel engine","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Deutsche Forschungsgemeinschaft","keywords":"Hyperparameter; Dual (grammatical number); Bayesian optimization; Diesel fuel; Bayesian probability; Machine learning; Computer science; Automotive engineering; Artificial intelligence; Engineering","score_opus":0.00416942781926794,"score_gpt":0.2327056382441287,"score_spread":0.22853621042486078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412991508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005850165,0.0009896079,0.9926338,0.0007308989,0.0002594747,0.0031304802,0.000029744424,0.002124222,0.000043233467],"genre_scores_gemma":[0.7074603,0.000011354367,0.28841135,0.00016692108,0.00008804454,0.0036634156,0.00002353303,0.00010759474,0.00006753749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979575,0.00006168454,0.0006141941,0.00054181064,0.0002473282,0.00057747867],"domain_scores_gemma":[0.99031293,0.008268265,0.00032928755,0.00042317578,0.0005716779,0.00009463084],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051512464,0.0004899331,0.00076707423,0.00042054846,0.0001469379,0.000078332036,0.00023715921,0.00038023142,0.000005772396],"category_scores_gemma":[0.023813052,0.0004706867,0.0001887981,0.00061289937,0.000041051884,0.0005030306,0.000023085857,0.0007044637,0.0000023757063],"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":[0.00092518824,0.00007965165,0.000005013029,0.00471435,0.000772572,0.0000036089875,0.00006184058,0.98862386,0.0003496601,0.0042219283,0.0000071193535,0.00023523145],"study_design_scores_gemma":[0.0050616637,0.00052477134,0.0000033233448,0.0017180794,0.0010854688,0.000020375852,0.00018560897,0.9895962,0.00067995867,0.0002476246,0.00043132738,0.00044563727],"about_ca_topic_score_codex":0.000002611332,"about_ca_topic_score_gemma":4.98496e-7,"teacher_disagreement_score":0.70740175,"about_ca_system_score_codex":0.00035426518,"about_ca_system_score_gemma":0.000058184938,"threshold_uncertainty_score":0.99977446},"labels":[],"label_agreement":null},{"id":"W4414273763","doi":"10.1016/j.conengprac.2025.106578","title":"Neural network-based state observation utilizing a history-of-error performance index","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Backpropagation; Artificial neural network; Robustness (evolution); Parametric statistics; Convergence (economics); Nonlinear system; Bounded function","score_opus":0.016436734573016826,"score_gpt":0.2283471868261848,"score_spread":0.21191045225316796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414273763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07874868,0.0083286,0.8902726,0.0008414164,0.011157045,0.0010450253,0.000008865368,0.0020886534,0.007509098],"genre_scores_gemma":[0.99846,0.000025627089,0.00048396506,0.0003410054,0.00009766468,0.000088404595,0.000002687705,0.00003800338,0.00046266144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988357,0.00004943096,0.00043549866,0.00017312393,0.0001819791,0.00032427357],"domain_scores_gemma":[0.9990057,0.00042366527,0.000107778236,0.00027943854,0.00012353358,0.00005991758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041962983,0.00021204259,0.0003076496,0.0001668521,0.00003472965,0.000026904818,0.00015243828,0.00012856603,0.000010138727],"category_scores_gemma":[0.00032467727,0.00023953879,0.00008282171,0.00032126947,0.00001565732,0.00045071976,0.0000103228585,0.00043006625,0.0000075076246],"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":[0.00012525196,0.000012860314,0.00052276684,0.0002401045,0.00010118941,0.0000030152073,0.000054854412,0.9912708,0.0017913339,0.00010572245,0.00075781683,0.005014274],"study_design_scores_gemma":[0.0012572579,0.000029707406,0.003037554,0.00009631125,0.000050869756,0.0000030924195,0.000013327306,0.82690954,0.00007056709,0.0000011039737,0.16837227,0.0001584256],"about_ca_topic_score_codex":0.00003886556,"about_ca_topic_score_gemma":0.000006006105,"teacher_disagreement_score":0.9197113,"about_ca_system_score_codex":0.00039158386,"about_ca_system_score_gemma":0.00008352425,"threshold_uncertainty_score":0.9768108},"labels":[],"label_agreement":null},{"id":"W4415000463","doi":"10.1016/j.conengprac.2025.106603","title":"Discovering alarm event causality based on neural point process modeling with topology constraint for root cause analysis","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control 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":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Spurious relationship; Causality (physics); Causal model; Granger causality; Artificial neural network; Causal reasoning; Root cause; ALARM; Event (particle physics)","score_opus":0.007222256116178612,"score_gpt":0.26590276769447346,"score_spread":0.25868051157829486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415000463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025180213,0.00015561382,0.97144234,0.0009047151,0.00056332647,0.0007313706,0.000028612654,0.0005240064,0.00046979537],"genre_scores_gemma":[0.99854857,0.0000023433126,0.00054818246,0.0002683643,0.000082459934,0.00046662224,0.000010886433,0.000045942008,0.000026623384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984642,0.000061014645,0.0004493582,0.000373707,0.00020873829,0.00044297136],"domain_scores_gemma":[0.99855554,0.0007010393,0.00008078489,0.00039016939,0.00016058187,0.00011187945],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051199313,0.0003320604,0.00053668884,0.00037535085,0.000098565186,0.00011082371,0.00015588375,0.00012292893,0.0000074822906],"category_scores_gemma":[0.0005425499,0.0003091837,0.00018955623,0.00053016166,0.000020354912,0.00028841716,0.000009151377,0.00035486955,0.000001926295],"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":[0.0004674209,0.000043513624,0.00012556039,0.00020214537,0.0013811401,0.000014705024,0.000067232744,0.99624604,0.00035399594,0.0007533105,0.000007066452,0.00033785982],"study_design_scores_gemma":[0.0026238281,0.00012739534,0.00014059152,0.000070578935,0.0012167409,0.00001250928,0.00018584875,0.99456424,0.00016390062,0.00000760173,0.0005756589,0.00031110193],"about_ca_topic_score_codex":0.000082586776,"about_ca_topic_score_gemma":0.00011458785,"teacher_disagreement_score":0.97336835,"about_ca_system_score_codex":0.00021567695,"about_ca_system_score_gemma":0.00006321287,"threshold_uncertainty_score":0.99993604},"labels":[],"label_agreement":null},{"id":"W4415835450","doi":"10.1016/j.conengprac.2026.106976","title":"Optimal Observer-Based Pressure Sensor Placement for Rigid Sails","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Pressure sensor; Control theory (sociology); Noise (video); Work (physics); Acceleration","score_opus":0.0113419185511918,"score_gpt":0.24248786287684837,"score_spread":0.23114594432565658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415835450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013350549,0.0021000104,0.99282426,0.0010079255,0.00033624275,0.0007200742,0.00003320125,0.00062222255,0.001020984],"genre_scores_gemma":[0.96585745,0.000023083236,0.03265477,0.00028376884,0.000086377324,0.0003811679,0.000013348632,0.00004399242,0.0006560206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990437,0.00004135334,0.00031506643,0.00017816499,0.00012849274,0.00029322118],"domain_scores_gemma":[0.99843407,0.00086127094,0.00005054348,0.00046070066,0.00012818561,0.00006521941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037312473,0.00020038769,0.00024398405,0.00009301884,0.00007320892,0.00011908859,0.00026626835,0.000100551115,0.000011688249],"category_scores_gemma":[0.00009715091,0.00021269878,0.00009473088,0.00013784094,0.000008947529,0.0002366774,0.00002244059,0.00019639144,0.000015038614],"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":[0.00007996106,0.00003229147,0.00001858603,0.00028045118,0.0003175106,0.0000013141798,0.00004719037,0.9901859,0.0073037907,0.00043571126,0.0007884353,0.00050886616],"study_design_scores_gemma":[0.0012191706,0.000021638962,0.000049878538,0.00004711004,0.00011031189,0.0000016704491,0.000038278202,0.54053366,0.0023920145,0.0000016005873,0.45546076,0.0001239198],"about_ca_topic_score_codex":0.000010510617,"about_ca_topic_score_gemma":0.0000010949724,"teacher_disagreement_score":0.9645224,"about_ca_system_score_codex":0.000076181954,"about_ca_system_score_gemma":0.000034502853,"threshold_uncertainty_score":0.8673605},"labels":[],"label_agreement":null},{"id":"W4417536120","doi":"10.1016/j.conengprac.2025.106525","title":"Two-stage lumped parameter observer for spatial alumina concentration in aluminium reduction cells: Validation on simulator and industrial data","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Rio Tinto; Conseil National de la Recherche Scientifique; Centre National de la Recherche Scientifique","keywords":"Observer (physics); Aluminium; Anode; Kalman filter; Control theory (sociology); Reduction (mathematics); Convergence (economics); Filter (signal processing)","score_opus":0.034710979682261806,"score_gpt":0.2985155428621475,"score_spread":0.26380456317988565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417536120","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39752886,0.00041202726,0.5963484,0.0018171822,0.0012580147,0.0016409905,0.00014458732,0.000351743,0.0004981866],"genre_scores_gemma":[0.99799013,0.000018806048,0.0009949871,0.00010709066,0.00037005625,0.000081440194,0.00023209504,0.000025405905,0.00018000118],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986575,0.00003115857,0.0003788927,0.0004805072,0.00014776892,0.00030414376],"domain_scores_gemma":[0.9978013,0.001580345,0.000091064576,0.00036705445,0.00008727157,0.000072935756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041529548,0.00021544461,0.0002584372,0.0000515922,0.000042841435,0.00007323656,0.00019834601,0.00020721745,0.000010472847],"category_scores_gemma":[0.0051943418,0.00024151718,0.000032691485,0.00018332904,0.000020368972,0.0005665201,0.000045709137,0.00043433608,0.0000021368146],"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":[0.0008013888,0.0000976496,0.000015683188,0.00024022242,0.00008546095,0.0000026907665,0.000036009544,0.268407,0.7282652,0.00026291053,0.00026387107,0.0015219194],"study_design_scores_gemma":[0.0027615805,0.000029072084,0.0000035335418,0.000070731665,0.000087097986,0.0000016901217,0.000021299365,0.6378203,0.35265967,0.000008665561,0.006382502,0.00015381991],"about_ca_topic_score_codex":0.000041923915,"about_ca_topic_score_gemma":8.8938816e-7,"teacher_disagreement_score":0.60046124,"about_ca_system_score_codex":0.00010885191,"about_ca_system_score_gemma":0.00006199893,"threshold_uncertainty_score":0.9848785},"labels":[],"label_agreement":null},{"id":"W7083593177","doi":"10.1016/j.conengprac.2025.106593","title":"Sensitivity-informed parameter selection for improved soil moisture estimation from remote sensing data","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","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":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Selection (genetic algorithm); Water content; Estimation; Moisture; Estimation theory","score_opus":0.01596146886693146,"score_gpt":0.25451159873731544,"score_spread":0.238550129870384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083593177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116535835,0.00011139125,0.874885,0.006134538,0.0008571896,0.0005626683,0.00047356077,0.0002498072,0.00018996996],"genre_scores_gemma":[0.9678371,0.000019635798,0.030362878,0.00073683535,0.0001825611,0.0000023266405,0.00072865316,0.0000018117489,0.00012817717],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999279,0.00006152523,0.00019121889,0.00022926899,0.0000522495,0.00018671052],"domain_scores_gemma":[0.9948422,0.0047483896,0.00010999015,0.00012668107,0.00014022624,0.00003255062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036626394,0.00012900576,0.00016249975,0.000020619593,0.00018471178,0.00016469759,0.000116956704,0.000102091704,0.0000056883096],"category_scores_gemma":[0.0046863295,0.00006810687,0.00004677669,0.0001633463,0.0000082839,0.000736768,0.000049513834,0.00024095985,0.0000051604457],"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":[0.0002720782,0.000027062442,0.000008057919,0.000013379276,0.0001379589,0.0000011919627,0.000021685475,0.012549859,0.6845838,0.0000136250765,0.0011542876,0.30121702],"study_design_scores_gemma":[0.00031681955,0.00003507654,0.0016071191,0.00004855766,0.00010720567,0.000020623856,0.00004488232,0.9167758,0.00249193,0.000030396784,0.07840007,0.00012147648],"about_ca_topic_score_codex":0.004517818,"about_ca_topic_score_gemma":0.0016791025,"teacher_disagreement_score":0.904226,"about_ca_system_score_codex":0.00006208619,"about_ca_system_score_gemma":0.000022214992,"threshold_uncertainty_score":0.68296194},"labels":[],"label_agreement":null},{"id":"W7084610053","doi":"10.1016/j.conengprac.2025.106588","title":"StictionGPT: Detecting valve stiction in process control loops using large vision language model","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program","keywords":"Stiction; Benchmark (surveying); Leverage (statistics); Fault detection and isolation; Unavailability; Process (computing); Generalization; Semantics (computer science)","score_opus":0.011015441624006653,"score_gpt":0.3108203138416982,"score_spread":0.2998048722176916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084610053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42226905,0.00010837035,0.57568884,0.00016620026,0.00039577516,0.0004690865,0.000013928259,0.00025119694,0.0006375215],"genre_scores_gemma":[0.99817973,0.000008627197,0.00043075316,0.001193297,0.00008846706,0.000026361893,5.6268635e-7,0.000030915853,0.000041268904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985517,0.00012577038,0.00031069713,0.00043570256,0.00016479284,0.00041133462],"domain_scores_gemma":[0.9983445,0.0011937307,0.00013130563,0.000196758,0.000078165394,0.000055559467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033198844,0.00019468249,0.00025219665,0.00020749272,0.00014132237,0.000081444276,0.00016113996,0.000082157654,0.000005037096],"category_scores_gemma":[0.005602091,0.00020024671,0.00007475074,0.00043263714,0.000018500914,0.00069956045,0.000039870993,0.00047936928,0.000010533579],"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":[0.0001303329,0.000060673297,0.000018129776,0.000036305188,0.0000073289607,0.000015901433,0.00007528482,0.5365461,0.46214914,0.0006760093,0.0000024169478,0.00028235003],"study_design_scores_gemma":[0.0020600294,0.000069802045,0.00030458445,0.00011163678,0.00007120176,0.000018651921,0.0001280319,0.9850021,0.011800231,0.000060258048,0.00020641761,0.00016702616],"about_ca_topic_score_codex":0.00003050225,"about_ca_topic_score_gemma":0.0000028429768,"teacher_disagreement_score":0.5759107,"about_ca_system_score_codex":0.00009044986,"about_ca_system_score_gemma":0.00006296908,"threshold_uncertainty_score":0.8165824},"labels":[],"label_agreement":null},{"id":"W7115019259","doi":"10.1016/j.conengprac.2025.106660","title":"Global event-triggered regulation of a unicycle robot with bounded control","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Control and Dynamics of Mobile Robots","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":"Bell (Canada)","funders":"","keywords":"Bounded function; Control theory (sociology); Robustness (evolution); Kinematics; Mobile robot; Robot; Convergence (economics); Lyapunov function","score_opus":0.0018720759609456125,"score_gpt":0.20393711179847887,"score_spread":0.20206503583753327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115019259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004217251,0.0017408653,0.9886885,0.0006858052,0.0004475473,0.0005713897,0.0000332012,0.0004667282,0.0031487055],"genre_scores_gemma":[0.99633944,0.00003512271,0.0032287142,0.00012040482,0.000059860202,0.00007671011,0.00000753475,0.000033184853,0.00009905096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867576,0.00004746076,0.00043763453,0.00023798755,0.00024259389,0.00035856254],"domain_scores_gemma":[0.998549,0.00059396244,0.000113904876,0.00043185006,0.00021916933,0.00009211862],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033384733,0.0002779093,0.00046562476,0.00014445948,0.000049257964,0.00006138238,0.00021238356,0.00013745119,0.000010832521],"category_scores_gemma":[0.0004494912,0.00027668,0.00010781844,0.0004936745,0.000030365136,0.00045131164,0.000018353721,0.00019842769,0.000006072425],"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":[0.00041893273,0.000054339962,0.0001690044,0.00011266359,0.0005266113,0.00000810944,0.0000143363495,0.98337024,0.0041989824,0.00812551,0.00010349188,0.002897801],"study_design_scores_gemma":[0.006095357,0.000076969736,0.00828281,0.00012945982,0.00036272305,0.000015553454,0.000016805177,0.9808391,0.00009085548,0.00023473935,0.0035981385,0.00025751736],"about_ca_topic_score_codex":0.000050689858,"about_ca_topic_score_gemma":0.000035168203,"teacher_disagreement_score":0.9921222,"about_ca_system_score_codex":0.00021660603,"about_ca_system_score_gemma":0.00009256238,"threshold_uncertainty_score":0.9999685},"labels":[],"label_agreement":null},{"id":"W7117257462","doi":"10.1016/j.conengprac.2025.106715","title":"Interval PIP-based Adaboost-ELM for stratigraphic lithology identification in open-pit coal mining process","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Mineral Processing and Grinding","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":"Science Fund for Distinguished Young Scholars of Hubei Province; Higher Education Discipline Innovation Project; Fundamental Research Funds for the Central Universities; China University of Geosciences; Natural Science Foundation of Hubei Province; Overseas Expertise Introduction Project for Discipline Innovation; National Natural Science Foundation of China","keywords":"Drilling; Feature (linguistics); Lithology; Measurement while drilling; Identification (biology); Feature extraction; Interval (graph theory); Process (computing)","score_opus":0.01278250356240817,"score_gpt":0.3044133143072388,"score_spread":0.2916308107448306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117257462","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07811443,0.00118168,0.91536933,0.0011042584,0.0010853425,0.0009890388,0.000021258882,0.00048052007,0.0016541438],"genre_scores_gemma":[0.9949794,0.000008062437,0.0040845824,0.00019111125,0.00007520414,0.000467605,0.000018722247,0.00004064476,0.00013468783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869406,0.00004023646,0.00048117252,0.0003167537,0.00010657367,0.00036121655],"domain_scores_gemma":[0.9986923,0.0007978071,0.000093737064,0.00023498634,0.00012601419,0.00005519992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008395866,0.00022740655,0.00032270313,0.0003708401,0.00007411185,0.00027171455,0.00039232746,0.00014211309,0.000005272895],"category_scores_gemma":[0.0013466883,0.0002582321,0.000053501768,0.0004265632,0.00001855448,0.00075623975,0.000022383245,0.00032450183,0.0000023757896],"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":[0.00015053096,0.00005476592,0.00044416022,0.00065106584,0.000073076924,0.0000095772675,0.00021610477,0.99162376,0.0031113531,0.0008229722,0.00026564565,0.0025770105],"study_design_scores_gemma":[0.002320379,0.000051301613,0.0019901774,0.00033439827,0.00008875292,0.000009289325,0.00022048625,0.9887456,0.0010233986,0.000075348646,0.0048659686,0.00027484106],"about_ca_topic_score_codex":0.000015871557,"about_ca_topic_score_gemma":0.000032432446,"teacher_disagreement_score":0.91686493,"about_ca_system_score_codex":0.000082841456,"about_ca_system_score_gemma":0.00008346754,"threshold_uncertainty_score":0.999987},"labels":[],"label_agreement":null},{"id":"W7117562473","doi":"10.1016/j.conengprac.2025.106737","title":"Optimizing unmanned surface vehicle control: A data-enabled learning approach","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Investment Agriculture Foundation; Instituto Tecnológico y de Estudios Superiores de Monterrey; Consejo Nacional de Ciencia y Tecnología; Agency for Science, Technology and Research","keywords":"Underactuation; Process (computing); Controller (irrigation); Exploit; Motion control; Convergence (economics); Vehicle dynamics; Motion (physics); Tracking (education)","score_opus":0.014034268443579053,"score_gpt":0.24109875880878,"score_spread":0.22706449036520096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117562473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008841251,0.0070458623,0.9762959,0.0005898443,0.0010312623,0.0008217463,0.000039756065,0.0020007004,0.011290789],"genre_scores_gemma":[0.97776824,0.00007814279,0.020545958,0.00027164517,0.0003439574,0.00006320818,0.000048860507,0.00015218413,0.00072779646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971609,0.0002835367,0.00069587474,0.0006613558,0.00037181715,0.00082647963],"domain_scores_gemma":[0.9959004,0.0023764037,0.00015382121,0.0011203445,0.00026286062,0.000186184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020572525,0.0005342806,0.0008271765,0.00022403184,0.00017246099,0.00026397617,0.0008983503,0.00025067633,0.000011168848],"category_scores_gemma":[0.0032006784,0.00058684,0.0001252331,0.0005871726,0.000035545912,0.0014393463,0.00014224145,0.0011469579,0.00007986207],"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":[0.00016766443,0.000054350126,0.000059149465,0.00018654877,0.00089069246,0.00003542904,0.000100328165,0.98901474,0.007307477,0.0006641029,0.0007973734,0.0007221479],"study_design_scores_gemma":[0.0043271543,0.000034752687,0.00009760098,0.000097725395,0.00034805495,0.000021045205,0.00016371983,0.8730557,0.00005104146,0.0000024662004,0.12135553,0.00044521276],"about_ca_topic_score_codex":0.000039238446,"about_ca_topic_score_gemma":0.0000023036453,"teacher_disagreement_score":0.9768841,"about_ca_system_score_codex":0.0002330701,"about_ca_system_score_gemma":0.00009122917,"threshold_uncertainty_score":0.9996583},"labels":[],"label_agreement":null}]}