{"meta":{"query_hash":"d551c64c3e1c","filters":{"venue":"IFAC Proceedings Volumes"},"cohort_total":336,"direct_labels_cover":0,"predictions_cover":336,"exported":336,"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/d551c64c3e1c","api":"https://metacan.xera.ac/api/v1/cohort?venue=IFAC+Proceedings+Volumes"},"results":[{"id":"W114928766","doi":"10.3182/20070625-5-fr-2916.00037","title":"FLIGHT MODEL IDENTIFICATION OF AN F/A-18 FROM FLIGHT TESTS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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":"École de Technologie Supérieure","funders":"","keywords":"Flight test; Aeroelasticity; Identification (biology); Subspace topology; Aerospace engineering; System identification; Aerodynamics; Mach number; Engineering; State-space representation; Control theory (sociology); Flight dynamics; State space; Mathematics; Algorithm; Applied mathematics; Computer science; Statistics; Data modeling; Mathematical analysis; Artificial intelligence","score_opus":0.010390463566759166,"score_gpt":0.22954289959545196,"score_spread":0.2191524360286928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W114928766","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":[0.984263,0.00042458903,0.010341988,0.000029637411,0.000357823,0.00025998236,0.000030128474,0.00029843042,0.003994446],"genre_scores_gemma":[0.9977187,0.000017967846,0.0011927962,0.000007086511,0.00024160904,0.000023633784,0.00004673717,0.00003794672,0.0007135036],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985954,0.0000026774078,0.000613132,0.0002730622,0.0002737913,0.00024190049],"domain_scores_gemma":[0.9992777,0.000018345514,0.000160924,0.00019396783,0.00025123614,0.00009780343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041845275,0.00016219672,0.00022282662,0.00016645952,0.0000642085,0.000108896835,0.00023581127,0.00012862726,0.000038728438],"category_scores_gemma":[0.000054619337,0.00017175743,0.00006213006,0.0002282117,0.000027833554,0.000711412,0.000018603458,0.00009691355,0.000046166213],"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":[0.000012959778,0.000043025084,0.003133741,0.00008692226,0.000036647183,4.769e-7,0.0010587701,0.0007949924,0.98222554,0.0006710351,0.0025011601,0.009434704],"study_design_scores_gemma":[0.0003634044,0.000022800505,0.072241224,0.000058540267,0.000048095153,0.0000026811974,0.00030000898,0.64554566,0.27741337,0.0018747906,0.0018264861,0.0003029336],"about_ca_topic_score_codex":0.00012298783,"about_ca_topic_score_gemma":0.00006792911,"teacher_disagreement_score":0.70481217,"about_ca_system_score_codex":0.00007379828,"about_ca_system_score_gemma":0.000011789525,"threshold_uncertainty_score":0.7004065},"labels":[],"label_agreement":null},{"id":"W120656957","doi":"10.3182/20100705-3-be-2011.00119","title":"LQ control of coupled hyperbolic PDEs and ODEs: Application to a CSTR-PFR system","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Continuous stirred-tank reactor; Control theory (sociology); Algebraic Riccati equation; Mathematics; Nonlinear system; Riccati equation; Partial differential equation; Ordinary differential equation; Optimal control; State-space representation; Controller (irrigation); Applied mathematics; Differential equation; Mathematical analysis; Engineering; Computer science; Mathematical optimization; Control (management); Physics","score_opus":0.0031776394021604303,"score_gpt":0.18590489393558074,"score_spread":0.1827272545334203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W120656957","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":[0.9768995,0.00011019197,0.021005785,0.00022293547,0.00012152999,0.00067545683,0.000024556019,0.00032141595,0.0006186535],"genre_scores_gemma":[0.9987216,0.0000040798104,0.00091183814,0.000019620098,0.00009229545,0.00021002033,0.0000026277796,0.000020331056,0.000017609282],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910104,0.0000036484473,0.0003039586,0.00022470426,0.00016518495,0.00020146092],"domain_scores_gemma":[0.9994058,0.000070284186,0.000052315674,0.00013856197,0.00021213312,0.00012092415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019684233,0.00015080266,0.00030985428,0.00008739729,0.000075030766,0.000060224436,0.00014271126,0.00010954597,0.00001652518],"category_scores_gemma":[0.0001715898,0.00015401554,0.000052844218,0.00017273429,0.00008024296,0.00014278176,0.000021003136,0.00013974286,0.00001746195],"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":[0.000060724917,0.00007383938,0.029809851,0.0010192975,0.00010229026,1.0109207e-7,0.0018460513,0.00032185667,0.9282151,0.01794495,0.00005396042,0.020552004],"study_design_scores_gemma":[0.001806129,0.00014357781,0.07412438,0.000098075114,0.00015395349,0.000008761836,0.0018288844,0.90592915,0.012836479,0.0013986599,0.0012059686,0.0004659664],"about_ca_topic_score_codex":0.000099903,"about_ca_topic_score_gemma":0.000091319955,"teacher_disagreement_score":0.9153786,"about_ca_system_score_codex":0.000030603474,"about_ca_system_score_gemma":0.000015622922,"threshold_uncertainty_score":0.6280571},"labels":[],"label_agreement":null},{"id":"W12392764","doi":"10.3182/20120902-4-fr-2032.00113","title":"A passivity-based controller with charge estimation for coordination of converters in a fuel cell System; experimental results","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fuel Cells and Related Materials","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":"Canadian Nautical Research Society","funders":"","keywords":"Passivity; Control theory (sociology); Controller (irrigation); Engineering; Converters; Power (physics); Control engineering; Fuel cells; Interconnection; Electric power system; Supercapacitor; Control (management); Computer science; Voltage; Capacitance; Electrical engineering","score_opus":0.005771800638869403,"score_gpt":0.1938400119224913,"score_spread":0.18806821128362192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W12392764","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":[0.9893512,0.0014205914,0.0011056842,0.000053255404,0.00044353754,0.0012735263,0.00006512446,0.00024943275,0.006037627],"genre_scores_gemma":[0.99798566,0.000007442125,0.0016390476,0.00000799868,0.000041351097,0.00019782728,0.000020056803,0.000031185133,0.00006941982],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920875,0.0000045695924,0.00029962655,0.00012212306,0.00011995504,0.00024498976],"domain_scores_gemma":[0.9996841,0.000028943883,0.00012148695,0.000040527095,0.00007315641,0.000051792416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022588811,0.0001446642,0.0002601307,0.00011329192,0.000026280362,0.000027648866,0.000055821987,0.00010542566,0.0000053971335],"category_scores_gemma":[0.000015238372,0.00012149276,0.000035937344,0.00010326975,0.000026159218,0.00027076618,0.000006313595,0.000052031093,0.0000070033943],"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":[0.002072537,0.00061869697,0.0042592916,0.026026264,0.00014256187,0.0000017308626,0.007848572,0.010664741,0.94373024,0.00069121027,0.0035461287,0.00039802864],"study_design_scores_gemma":[0.0059596044,0.00019677472,0.00028862813,0.0003211041,0.00003348995,0.0000024960507,0.00069941086,0.61916727,0.37260523,0.0000062750237,0.0004952795,0.00022441692],"about_ca_topic_score_codex":0.000019357793,"about_ca_topic_score_gemma":4.815228e-7,"teacher_disagreement_score":0.60850257,"about_ca_system_score_codex":0.00010475536,"about_ca_system_score_gemma":0.000010386735,"threshold_uncertainty_score":0.4954331},"labels":[],"label_agreement":null},{"id":"W142272131","doi":"10.3182/20050703-6-cz-1902.00608","title":"PERFORMANCE LIMITATIONS IN CONTROL SYSTEMS WITH SENSOR TIME DELAYS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","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 Waterloo","funders":"","keywords":"Control theory (sociology); Sensitivity (control systems); Bandwidth (computing); Sense (electronics); Tracking (education); Feedback loop; Computer science; Control engineering; Control (management); Engineering; Mathematics; Electronic engineering; Telecommunications","score_opus":0.0077175456523146165,"score_gpt":0.17268302658717433,"score_spread":0.16496548093485972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W142272131","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":[0.9377784,0.0008603429,0.020033699,0.00022334883,0.0001675193,0.0013167545,0.000015950904,0.0012452108,0.038358755],"genre_scores_gemma":[0.9936546,0.000043633267,0.004493456,0.000020477613,0.00017575455,0.00020267068,0.0000042786737,0.000058172107,0.0013469534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897236,0.000004698464,0.00031254263,0.0001977476,0.00017985776,0.00033278012],"domain_scores_gemma":[0.99958235,0.000038497015,0.00006991544,0.00008373929,0.0001575555,0.00006791699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011427275,0.00019492785,0.00026299804,0.00016201993,0.00006052328,0.00007608638,0.00011025429,0.00008435537,0.0000066469215],"category_scores_gemma":[0.0000353097,0.00018640161,0.00002303615,0.0002869461,0.000025176982,0.0008081051,0.0000069786797,0.00014216274,0.00016621094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002403668,0.000012748695,0.01016358,0.000098721765,0.000030705127,0.0000010092266,0.00037791676,0.9832653,0.0026208586,0.000091020454,0.00021800112,0.00309611],"study_design_scores_gemma":[0.0010840124,0.000053813044,0.002461697,0.00011796963,0.000015945048,0.000026977656,0.00018555892,0.9926678,0.00014061875,0.0000030812037,0.0030017695,0.00024076946],"about_ca_topic_score_codex":0.0000066431476,"about_ca_topic_score_gemma":0.0000117900845,"teacher_disagreement_score":0.055876184,"about_ca_system_score_codex":0.00018697215,"about_ca_system_score_gemma":0.000013979087,"threshold_uncertainty_score":0.76012367},"labels":[],"label_agreement":null},{"id":"W1489533624","doi":"10.3182/20020721-6-es-1901.01620","title":"ANALYSIS OF PLANT-WIDE DISTURBANCES THROUGH DATA-DRIVEN TECHNIQUES AND PROCESS UNDERSTANDING","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":17,"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; Royal Academy of Engineering","keywords":"Schematic; Process (computing); Disturbance (geology); Root cause; Root cause analysis; Process control; Computer science; Limit cycle; Control theory (sociology); Control engineering; Data mining; Quality (philosophy); Limit (mathematics); Engineering; Control (management); Reliability engineering; Artificial intelligence; Electronic engineering; Mathematics","score_opus":0.037218351597640933,"score_gpt":0.24665864760697778,"score_spread":0.20944029600933683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489533624","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":[0.93055815,0.007887791,0.008184993,0.00032973374,0.00039316897,0.00095060637,0.0005603907,0.00256781,0.04856738],"genre_scores_gemma":[0.99910086,0.00038247334,0.0002570467,0.000013146208,0.000057178455,0.000026576345,0.000015505739,0.00001998239,0.00012721478],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999056,0.0000035490489,0.00028125328,0.0002660209,0.00019869911,0.00019451993],"domain_scores_gemma":[0.9996561,0.000033965815,0.00008854255,0.00013555243,0.000040554656,0.000045274333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091735405,0.0001591208,0.00036999836,0.00019011593,0.00007823005,0.00008417456,0.0002370054,0.000080494676,0.000029488163],"category_scores_gemma":[0.000032359232,0.0001476365,0.000049196464,0.00061987556,0.000068951675,0.0005848316,0.00003786883,0.000102776314,0.0000021762946],"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":[0.00020526096,0.00037263744,0.7879544,0.007816784,0.016037285,0.00004681204,0.05073411,0.004868044,0.015540627,0.00887476,0.06463105,0.042918243],"study_design_scores_gemma":[0.0003279306,0.00006442857,0.0009214983,0.00015547463,0.0005982813,0.000017880815,0.0040794783,0.97326463,0.0025184888,0.0003529434,0.01730075,0.0003982025],"about_ca_topic_score_codex":0.00003778787,"about_ca_topic_score_gemma":0.000041897507,"teacher_disagreement_score":0.9683966,"about_ca_system_score_codex":0.000050916722,"about_ca_system_score_gemma":0.0000026255193,"threshold_uncertainty_score":0.60204417},"labels":[],"label_agreement":null},{"id":"W1499212154","doi":"10.3182/20060517-3-fr-2903.00088","title":"ANDDR WITH NOVEL GROSS ERROR DETECTION AND SMART TRACKING SYSTEM","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Computer science; Tracking (education); Nonlinear system; Error detection and correction; Tracking error; Control engineering; Control (management); Control theory (sociology); Real-time computing; Artificial intelligence; Engineering; Algorithm","score_opus":0.006453400622710569,"score_gpt":0.18321253691526979,"score_spread":0.1767591362925592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499212154","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":[0.9863564,0.0002895065,0.005740861,0.000018295716,0.00032131124,0.0002696859,0.0000065554173,0.0011406047,0.0058568115],"genre_scores_gemma":[0.99911046,0.000002238225,0.00017241051,0.0000073490437,0.00024034876,0.00007026085,9.794544e-7,0.00004564323,0.0003503163],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991103,0.000002288723,0.00022038267,0.00022767001,0.00017613845,0.00026324636],"domain_scores_gemma":[0.9997342,0.000009337358,0.00005479545,0.00005685645,0.00008229827,0.00006250256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011699206,0.00019151901,0.00021327521,0.00010418854,0.00015147812,0.00021274321,0.000060096085,0.00010234169,0.000002319399],"category_scores_gemma":[0.0000067419833,0.00017181181,0.000034292847,0.00019907624,0.0000327455,0.00033365758,0.00000919722,0.00013585639,0.000008796994],"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":[0.00022063825,0.00008449988,0.054056108,0.00286213,0.00024861735,0.000014962199,0.0013519505,0.0028139995,0.9011284,0.0016750725,0.00073596084,0.03480767],"study_design_scores_gemma":[0.0034618808,0.00031060976,0.078237444,0.0005750189,0.00011692631,0.0010644563,0.0041059884,0.83554596,0.054645997,0.00003426399,0.02080942,0.0010920266],"about_ca_topic_score_codex":0.00027929575,"about_ca_topic_score_gemma":0.00022342193,"teacher_disagreement_score":0.8464824,"about_ca_system_score_codex":0.000099583995,"about_ca_system_score_gemma":0.0000051029588,"threshold_uncertainty_score":0.7006282},"labels":[],"label_agreement":null},{"id":"W1514681620","doi":"10.3182/20100705-3-be-2011.00100","title":"Optimal control of transport-reaction system with time varying spatial domain","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reaction–diffusion system; Domain (mathematical analysis); Optimal control; Parabolic partial differential equation; Partial differential equation; Diffusion; Control theory (sociology); Mathematics; Crystal (programming language); Reaction dynamics; Mathematical analysis; Physics; Computer science; Control (management); Mathematical optimization; Thermodynamics","score_opus":0.0038764361146489063,"score_gpt":0.1748662438701989,"score_spread":0.17098980775554998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514681620","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":[0.9458483,0.000020235235,0.050674558,0.00007040352,0.0001814734,0.00039710203,0.000034139975,0.00041302366,0.002360795],"genre_scores_gemma":[0.99768686,6.987608e-7,0.0020533868,0.0000039887705,0.00013513108,0.000056735607,0.00000820601,0.00002902945,0.000025939318],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989624,0.000004878887,0.0003283531,0.0002109665,0.00025365915,0.00023974194],"domain_scores_gemma":[0.9994965,0.00004600449,0.000079663325,0.000115601564,0.00017699951,0.000085201755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019602745,0.0001828585,0.00033843328,0.000083356616,0.0000878888,0.000030628376,0.0001346979,0.00012897432,0.00007515993],"category_scores_gemma":[0.00002624518,0.00017043402,0.00009109437,0.00013209766,0.0001008737,0.00027386184,0.000005419055,0.00024661233,0.00001894646],"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":[0.00039588803,0.0001321522,0.017833505,0.00079984666,0.00026129276,0.0000015057457,0.001873809,0.0030531976,0.9664957,0.0026424634,0.00001788826,0.006492776],"study_design_scores_gemma":[0.0074764793,0.00058773055,0.07828755,0.0002972167,0.00048600984,0.00005214853,0.0015815644,0.8708158,0.038236212,0.00042491467,0.00067047775,0.001083876],"about_ca_topic_score_codex":0.00014192383,"about_ca_topic_score_gemma":0.000079428355,"teacher_disagreement_score":0.9282595,"about_ca_system_score_codex":0.000042797852,"about_ca_system_score_gemma":0.000027594915,"threshold_uncertainty_score":0.69500977},"labels":[],"label_agreement":null},{"id":"W152231130","doi":"10.3182/20020721-6-es-1901.00829","title":"REAL-TIME PATH PLANNING AND TRACKING CONTROL USING A NEURAL DYNAMICS BASED APPROACH","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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 Guelph","funders":"","keywords":"Tracking (education); Dynamics (music); Control (management); Motion planning; Control theory (sociology); Path (computing); Artificial neural network; Computer science; Control engineering; System dynamics; Artificial intelligence; Engineering; Physics; Robot","score_opus":0.026937840175534616,"score_gpt":0.23646212675431252,"score_spread":0.20952428657877792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152231130","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":[0.3471818,0.00030297606,0.64763504,0.00032365829,0.00019524255,0.00041820027,0.000010717334,0.00087033276,0.0030620736],"genre_scores_gemma":[0.667557,0.00000234784,0.33209613,0.00010852953,0.00008742653,0.0000119116685,0.0000024054966,0.00002745658,0.00010682631],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782485,0.0000251013,0.00034764005,0.0007258567,0.00043036827,0.0006461823],"domain_scores_gemma":[0.99910176,0.000098899836,0.00024046302,0.00020875581,0.00014976258,0.00020038181],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040177925,0.00032002796,0.0003968105,0.00021060006,0.00034535513,0.00065448316,0.0006181498,0.00014097302,0.0000047036965],"category_scores_gemma":[0.00012513091,0.0003225129,0.00007077577,0.00044318225,0.0000996165,0.0010510554,0.00012821553,0.00028881096,0.000009545983],"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":[0.00012678183,0.0011496039,0.5347621,0.0012366686,0.000435932,0.00067029166,0.031309843,0.22829689,0.039020505,0.0076827025,0.0049596876,0.15034904],"study_design_scores_gemma":[0.0007463072,0.00008692025,0.0042404016,0.000101420475,0.000026037673,0.0001813106,0.00012210879,0.99396694,0.000053140462,0.000085545296,0.000015331636,0.00037451377],"about_ca_topic_score_codex":0.0000401086,"about_ca_topic_score_gemma":4.9645244e-8,"teacher_disagreement_score":0.76567006,"about_ca_system_score_codex":0.00011885916,"about_ca_system_score_gemma":0.000026788455,"threshold_uncertainty_score":0.9999227},"labels":[],"label_agreement":null},{"id":"W1523488457","doi":"10.3182/20020721-6-es-1901.01365","title":"DETECTION AND DIAGNOSIS OF SYSTEM NONLINEARITIES USING HIGHER ORDER STATISTICS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","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":"University of Alberta","keywords":"Process (computing); Identification (biology); CUSUM; Work in process; Engineering; Computer science; Artificial neural network; Reliability engineering; Data mining; Industrial engineering; Machine learning; Operations management","score_opus":0.012986738627985103,"score_gpt":0.20260333421590535,"score_spread":0.18961659558792024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523488457","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":[0.9908368,0.0015488026,0.0040277457,0.000012861403,0.0007259489,0.00021280044,0.0000448885,0.00045803963,0.0021321203],"genre_scores_gemma":[0.997864,0.00007937725,0.0015599694,0.000005695618,0.00013880775,0.000033675682,5.361283e-7,0.000029466335,0.00028845962],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933994,0.0000039314277,0.0002401824,0.00012194217,0.00013758091,0.00015641876],"domain_scores_gemma":[0.99969774,0.00002132078,0.000055553468,0.00004479479,0.00013164223,0.00004896723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005707809,0.00012551066,0.00020366945,0.000095847005,0.000067312954,0.00006136942,0.00004507334,0.000084550855,0.000035139423],"category_scores_gemma":[0.000019357201,0.0001296177,0.000023026147,0.00017532009,0.000039111714,0.00015806493,0.000011992973,0.000084273845,0.000008494993],"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":[0.0001496491,0.0003797667,0.20308076,0.035375,0.0018376837,0.00003529121,0.011610691,0.010852506,0.3096365,0.009032432,0.011481207,0.4065285],"study_design_scores_gemma":[0.0003498062,0.00005133076,0.0011138866,0.00015670038,0.00004447837,0.000027550806,0.0007572163,0.9858952,0.006129979,0.00001673794,0.0052662743,0.00019080046],"about_ca_topic_score_codex":0.00011462058,"about_ca_topic_score_gemma":0.000012792565,"teacher_disagreement_score":0.97504276,"about_ca_system_score_codex":0.00006004682,"about_ca_system_score_gemma":0.000002046403,"threshold_uncertainty_score":0.5285657},"labels":[],"label_agreement":null},{"id":"W152455373","doi":"10.3182/20100707-3-be-2012.0110","title":"Engineering of the Human Cell Line HEK-293 to Enhance Recombinant Protein Production","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","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":"Biotechnology Research Institute; National Research Council Canada; Polytechnique Montréal","funders":"","keywords":"Pyruvate carboxylase; Metabolic flux analysis; HEK 293 cells; Intracellular; Cell culture; Metabolic engineering; Recombinant DNA; Biochemistry; Pentose phosphate pathway; Biology; Extracellular; Cell biology; Flux (metallurgy); Malic enzyme; Yeast; Metabolism; Chemistry; Glycolysis; Enzyme; Gene; Dehydrogenase","score_opus":0.003809891769199576,"score_gpt":0.23764131597330782,"score_spread":0.23383142420410824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W152455373","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":[0.9980269,0.00006058221,0.000044144195,0.00022105945,0.0006333372,0.00043347874,0.0000037652426,0.00002459725,0.0005521267],"genre_scores_gemma":[0.994254,0.000006653012,0.00060407264,0.000047616326,0.00039077288,0.00010775031,0.0000038117898,0.00002247566,0.004562883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918103,0.0000043856858,0.00018639777,0.00032088943,0.000121256475,0.00018602444],"domain_scores_gemma":[0.9994265,0.0000011256867,0.000111266294,0.00020959128,0.000179394,0.00007213918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195766,0.00013270705,0.000105885534,0.000033761662,0.00012495798,0.000026354044,0.0002197543,0.0001023079,0.000020175867],"category_scores_gemma":[0.00020313743,0.00010302656,0.00008388129,0.00013371244,0.00003828548,0.000008216314,0.00014888881,0.00014962188,0.0000069104017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013498155,0.000081519895,0.0018883173,0.000079685284,0.000007544433,7.279574e-8,0.000059149996,0.000033111493,0.99282205,0.000047145644,0.004482536,0.00048536374],"study_design_scores_gemma":[0.00008384924,0.00020286842,0.0015857609,0.000054148382,0.000007632259,0.0000031532904,0.000022102682,0.000028445535,0.9839983,0.00008916768,0.013784487,0.00014010465],"about_ca_topic_score_codex":0.000026464604,"about_ca_topic_score_gemma":0.000010782705,"teacher_disagreement_score":0.00930195,"about_ca_system_score_codex":0.0000070664564,"about_ca_system_score_gemma":0.000026828026,"threshold_uncertainty_score":0.42013013},"labels":[],"label_agreement":null},{"id":"W1557545616","doi":"10.3182/20110828-6-it-1002.02996","title":"Modifier Adaptation for Run-to-Run Optimization of Transient Processes","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Polytechnique Montréal","funders":"","keywords":"Adaptation (eye); Transient (computer programming); Computer science; Steady state (chemistry); Control theory (sociology); Mathematical optimization; State (computer science); Engineering; Mathematics; Algorithm; Chemistry; Artificial intelligence","score_opus":0.022026289003741935,"score_gpt":0.21191121492916243,"score_spread":0.1898849259254205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557545616","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":[0.02152966,0.00019750021,0.9740541,0.000021270516,0.00017027555,0.0010514267,0.000020603835,0.00034768836,0.002607455],"genre_scores_gemma":[0.8162818,0.000029839932,0.18308622,0.000013473858,0.00005767483,0.00034661905,0.000012364159,0.000055726396,0.00011627817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999,0.000002207627,0.00037301288,0.00021918534,0.00016949873,0.00023606735],"domain_scores_gemma":[0.9990965,0.000019681218,0.00010388878,0.00007402505,0.00063162134,0.000074293974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010156869,0.00017548268,0.00023419045,0.0001640319,0.000052050895,0.000023438884,0.00013394037,0.00009231564,0.000014971432],"category_scores_gemma":[0.00014873024,0.00018835737,0.000046274883,0.0003670443,0.000019428178,0.000559143,0.000008549805,0.000048329424,0.000004085795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006832759,0.000028293764,0.00016302042,0.00067864533,0.00003580173,9.274893e-8,0.0062380615,0.98543316,0.0031559842,0.00047723323,0.0001764669,0.0035448915],"study_design_scores_gemma":[0.0005595865,0.00014174716,0.0001708066,0.00011319492,0.000042902713,0.0000017925569,0.0007111923,0.9840996,0.013127509,0.00027163728,0.00051385333,0.00024613945],"about_ca_topic_score_codex":0.000013609663,"about_ca_topic_score_gemma":0.0000066369666,"teacher_disagreement_score":0.7947522,"about_ca_system_score_codex":0.00005569064,"about_ca_system_score_gemma":0.000025339737,"threshold_uncertainty_score":0.76809907},"labels":[],"label_agreement":null},{"id":"W1581701214","doi":"10.3182/20120328-3-it-3014.00054","title":"Closed-Loop Anesthesia in Children using a PID controller: A Pilot Study","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Anesthesia and Sedative Agents","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"PID controller; Propofol; Control theory (sociology); Controller (irrigation); Open-loop controller; Closed loop; Anesthesia; Control engineering; Process (computing); Target controlled infusion; Computer science; Medicine; Engineering; Control (management); Temperature control; Artificial intelligence; Remifentanil","score_opus":0.03835018698294861,"score_gpt":0.291640078607449,"score_spread":0.2532898916245004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581701214","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":[0.9967642,0.0004958118,0.000010952609,0.00023911876,0.000025162975,0.0017543957,8.315227e-7,0.00011138432,0.00059817027],"genre_scores_gemma":[0.99777657,0.000011942176,0.00043878128,0.00055511313,0.00031687747,0.00007355511,0.000004449131,0.00005469283,0.00076802657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981071,0.000028340019,0.00041192613,0.00037266008,0.0004234386,0.0006565318],"domain_scores_gemma":[0.99929154,0.000025239264,0.00015813753,0.0001243738,0.00014416856,0.00025653635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005175226,0.00030462883,0.0006273515,0.0002632283,0.00011990382,0.000046761084,0.00015619914,0.00007589227,0.000081310485],"category_scores_gemma":[0.00012010509,0.0002596,0.00007877931,0.0004236338,0.00008301448,0.00043026742,0.000042134892,0.00026936125,0.00009579226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047036007,0.0022648799,0.9892425,0.000026321595,0.00011363796,0.000029365374,0.0024258941,3.931945e-7,0.0042176885,0.00008725146,0.00025074612,0.0008709671],"study_design_scores_gemma":[0.004796032,0.0019557872,0.989255,0.0000821216,0.00020594466,0.000635994,0.0016742464,0.00039975267,0.00037912148,0.000023429873,0.0003168323,0.00027575294],"about_ca_topic_score_codex":0.00032277172,"about_ca_topic_score_gemma":0.0000026595842,"teacher_disagreement_score":0.0043256716,"about_ca_system_score_codex":0.00012782868,"about_ca_system_score_gemma":0.00005648615,"threshold_uncertainty_score":0.99998564},"labels":[],"label_agreement":null},{"id":"W166893512","doi":"10.3182/20100707-3-be-2012.0026","title":"Modeling the progression of apoptosis in Chinese Hamster Ovary cells","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chinese hamster ovary cell; Apoptosis; Caspase; Cell biology; Biology; Cell culture; Hamster; Population; Programmed cell death; Molecular biology; Genetics; Medicine","score_opus":0.0058987797228396,"score_gpt":0.25858506487464483,"score_spread":0.25268628515180525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W166893512","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":[0.9977539,0.0002429576,0.000069169,0.00009804127,0.00029827838,0.00021049356,0.000005984245,0.000014778013,0.0013063834],"genre_scores_gemma":[0.99883085,0.00006427725,0.00051611674,0.00011099675,0.00023366959,0.00005946279,0.000007728934,0.000019472778,0.00015743202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916065,0.000007945113,0.00022486926,0.0002668297,0.0001411822,0.00019855399],"domain_scores_gemma":[0.99957526,0.0000049749488,0.000083450584,0.00016082842,0.00011981164,0.000055695153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015743256,0.00014387566,0.0001279002,0.000047544807,0.0000865613,0.00003576221,0.000221678,0.00014588538,0.000025208723],"category_scores_gemma":[0.00007462414,0.00009267769,0.000097221025,0.00012899487,0.00007513098,0.000011969491,0.00015748704,0.00017259893,0.000003780271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061203806,0.000085721374,0.0390388,0.000039403276,0.0000116364645,1.5626077e-7,0.00013291725,0.00015549763,0.95770925,0.000026089103,0.0011191469,0.0016201588],"study_design_scores_gemma":[0.00055715925,0.00025131562,0.0039035068,0.00007564513,0.000015515152,0.000006713256,0.00017957827,0.013800887,0.9784816,0.00046039978,0.0019985647,0.00026910618],"about_ca_topic_score_codex":0.000048821803,"about_ca_topic_score_gemma":0.000021645279,"teacher_disagreement_score":0.035135295,"about_ca_system_score_codex":0.0000028910772,"about_ca_system_score_gemma":0.000030011675,"threshold_uncertainty_score":0.37792864},"labels":[],"label_agreement":null},{"id":"W17424063","doi":"10.1016/s1474-6670(17)33941-1","title":"Modeling and Control of Solenoid Valves for Internal Combustion Engines","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Engineering; Finite element method; Actuator; Nonlinear system; Camshaft; Internal model; Solenoid; Control engineering; Mechanical engineering; Computer science; Structural engineering; Physics; Control (management)","score_opus":0.012742052619464744,"score_gpt":0.19883200827116154,"score_spread":0.1860899556516968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W17424063","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":[0.7692743,0.0019206062,0.2269458,0.000063819985,0.000214199,0.00027506985,0.000011311129,0.0001736826,0.0011211833],"genre_scores_gemma":[0.9983696,0.00010390472,0.0011932172,0.000009110709,0.00012323241,0.000036579753,9.1971424e-7,0.000022970307,0.00014049963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993977,0.0000016578305,0.0002499191,0.000103763596,0.00009049533,0.00015649406],"domain_scores_gemma":[0.9997691,0.000030486957,0.000035539335,0.00003706999,0.000082041355,0.00004579872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011246831,0.000114133014,0.00022127626,0.000063912434,0.000033298606,0.000031701802,0.00007280133,0.00006127662,0.000012875549],"category_scores_gemma":[0.00005110113,0.00010877608,0.000048357102,0.00004495385,0.000020561616,0.00014908239,0.000008340092,0.000053760043,0.000003699309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013095727,0.00022539865,0.03513222,0.015892765,0.0013965026,0.0000023248485,0.03580107,0.50207305,0.19590205,0.0073303296,0.013284105,0.19282922],"study_design_scores_gemma":[0.00048344195,0.000052880103,0.000054665576,0.0001582726,0.000027053264,0.000009006631,0.00031326152,0.99670994,0.0015484358,0.0002532688,0.00027668272,0.00011307663],"about_ca_topic_score_codex":0.000014082525,"about_ca_topic_score_gemma":9.894699e-7,"teacher_disagreement_score":0.4946369,"about_ca_system_score_codex":0.000012952351,"about_ca_system_score_gemma":0.0000019004217,"threshold_uncertainty_score":0.443576},"labels":[],"label_agreement":null},{"id":"W182025308","doi":"10.3182/20050703-6-cz-1902.01391","title":"PATH TRACKING OF AN AUTONOMOUS LHD ARTICULATED VEHICLE","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Path (computing); Tracking (education); Motion control; Fuzzy logic; Control theory (sociology); Fuzzy control system; Trajectory; Control logic; Engineering; Control (management); Motion (physics); Control system; Articulated vehicle; Control engineering; Computer science; Simulation; Automotive engineering; Computer vision; Artificial intelligence; Robot; Physics; Electrical engineering","score_opus":0.014989207325713863,"score_gpt":0.2443917227929993,"score_spread":0.22940251546728546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W182025308","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":[0.9687974,0.00013365937,0.028203808,0.00055719825,0.0001700564,0.00017681486,0.0000023995171,0.0006324799,0.0013261893],"genre_scores_gemma":[0.7595163,0.000001960676,0.24009955,0.00010051259,0.000109215245,0.000008014163,0.0000013344771,0.000014899835,0.00014819203],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982666,0.000012465215,0.00040095294,0.00048887846,0.00037934896,0.00045179998],"domain_scores_gemma":[0.999063,0.000028921535,0.00022490117,0.00026608983,0.00024761478,0.00016946292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039253276,0.00019179306,0.00026767,0.00013358158,0.00012499481,0.00020735561,0.0008432729,0.00010429136,0.000009749331],"category_scores_gemma":[0.0001031419,0.0001902607,0.00006645823,0.00046112973,0.000067980756,0.0016610968,0.00014741613,0.00018104688,0.00005976676],"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":[0.000030268637,0.00096272415,0.03815072,0.00020494865,0.00012764652,0.00006949759,0.0256157,0.009364367,0.13034375,0.011434331,0.0017403419,0.7819557],"study_design_scores_gemma":[0.00035365083,0.0001801974,0.031199627,0.00006807199,0.00001193941,0.000055838318,0.000116298164,0.9312894,0.035416193,0.00051140884,0.00052573346,0.000271638],"about_ca_topic_score_codex":0.00003280851,"about_ca_topic_score_gemma":7.9480276e-7,"teacher_disagreement_score":0.921925,"about_ca_system_score_codex":0.00006915253,"about_ca_system_score_gemma":0.00006769634,"threshold_uncertainty_score":0.77586067},"labels":[],"label_agreement":null},{"id":"W1964375221","doi":"10.3182/20080706-5-kr-1001.01296","title":"Model Reduction for Switched Linear Discrete-Time Systems with polytopic uncertainties and arbitrary switching","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reduction (mathematics); Control theory (sociology); Linear system; Discrete time and continuous time; Mathematics; Computer science; Control (management); Artificial intelligence; Statistics; Mathematical analysis; Geometry","score_opus":0.014451259427903658,"score_gpt":0.2032111608929337,"score_spread":0.18875990146503005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964375221","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":[0.9824706,0.0014723606,0.013220657,0.00015097977,0.00019335552,0.00077944243,0.000013702076,0.00057163596,0.0011273052],"genre_scores_gemma":[0.99517155,0.000054795397,0.0032326176,0.000013994965,0.0003644242,0.00022364376,0.000005983989,0.000058826452,0.00087415695],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987284,0.0000047782346,0.00033172572,0.00034032558,0.00022158111,0.00037317883],"domain_scores_gemma":[0.99951166,0.000038373822,0.00007834054,0.00011762053,0.00014403675,0.00010996192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017350554,0.00027744123,0.00042053265,0.00010285876,0.0002486546,0.00009505026,0.00013172037,0.00013346871,0.0000018164508],"category_scores_gemma":[0.000034413024,0.00023792496,0.0000679676,0.00013354751,0.00008190865,0.0005450951,0.000019139854,0.00017334729,0.0000036467707],"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":[0.0028697634,0.00032474857,0.05733043,0.013881672,0.002614683,0.000027183676,0.070700616,0.36314502,0.4521328,0.014831248,0.009843263,0.012298573],"study_design_scores_gemma":[0.0007634428,0.00014096874,0.00035148862,0.00016620074,0.000049831153,0.00011953395,0.00175088,0.9942799,0.0010689961,0.00051744835,0.0004189244,0.00037236253],"about_ca_topic_score_codex":0.00010095228,"about_ca_topic_score_gemma":0.0000031392397,"teacher_disagreement_score":0.63113487,"about_ca_system_score_codex":0.00008747533,"about_ca_system_score_gemma":0.000042342013,"threshold_uncertainty_score":0.9702298},"labels":[],"label_agreement":null},{"id":"W1964701075","doi":"10.3182/20110828-6-it-1002.01553","title":"Cell energy metabolism : a constrained ensemble Kalman filter","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Polytechnique Montréal","funders":"","keywords":"Kalman filter; Ensemble Kalman filter; Extended Kalman filter; Invariant extended Kalman filter; Context (archaeology); Control theory (sociology); Fast Kalman filter; Alpha beta filter; Computer science; State variable; Filter (signal processing); Energy (signal processing); Mathematical optimization; Mathematics; Moving horizon estimation; Statistics; Artificial intelligence; Physics; Control (management)","score_opus":0.0105792967176634,"score_gpt":0.19691169551887067,"score_spread":0.18633239880120728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964701075","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":[0.95236856,0.002290562,0.0010277609,0.00004675104,0.00013543127,0.00010113986,0.000007825269,0.000058598478,0.04396338],"genre_scores_gemma":[0.9872035,0.00014183023,0.0037877208,0.00028512956,0.0003506694,0.00003656832,0.000029823674,0.000044152286,0.008120645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986056,0.000013022752,0.00025976766,0.000523788,0.00016756762,0.00043024067],"domain_scores_gemma":[0.9992601,0.0000028945472,0.0001436327,0.00022954414,0.00019936379,0.00016446429],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013502772,0.00026149378,0.0002600878,0.00008731649,0.00010689573,0.00003705642,0.0003023345,0.00020305825,0.00020007219],"category_scores_gemma":[0.000022067989,0.0002561991,0.00021143242,0.0001802284,0.00013356165,0.0000103403645,0.0001508812,0.00007487731,0.00003109897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008328734,0.00014524382,0.008968481,0.00003644328,0.00029110647,0.000005424532,0.00045287728,0.0000064082155,0.9448,0.0014929074,0.038312364,0.005405464],"study_design_scores_gemma":[0.0005266273,0.00013575755,0.0031546704,0.000008876034,0.00016790685,0.000027121236,0.00026673608,0.0003387626,0.88010955,0.0007064655,0.114086255,0.00047128444],"about_ca_topic_score_codex":0.000059315793,"about_ca_topic_score_gemma":0.000017716486,"teacher_disagreement_score":0.07577389,"about_ca_system_score_codex":0.000009971233,"about_ca_system_score_gemma":0.000054498265,"threshold_uncertainty_score":0.99998903},"labels":[],"label_agreement":null},{"id":"W1965721956","doi":"10.3182/20120710-4-sg-2026.00084","title":"Robust-Distributed MPC with robust observer to handle communication loss","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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 Waterloo","funders":"","keywords":"Control theory (sociology); Observer (physics); Robust control; Upper and lower bounds; Linear matrix inequality; Minification; Model predictive control; State (computer science); Stability (learning theory); Linear system; Computer science; Mathematics; Work (physics); Robustness (evolution); Matrix (chemical analysis); Mathematical optimization; Control (management); Control system; Engineering; Algorithm; Artificial intelligence","score_opus":0.01775625716152493,"score_gpt":0.1991724439852678,"score_spread":0.18141618682374286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965721956","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":[0.49754238,0.002024346,0.49268255,0.0003734626,0.00030981947,0.0011731604,0.000051437364,0.0017168674,0.0041260063],"genre_scores_gemma":[0.95584244,0.000034173117,0.04333895,0.00003902656,0.00014253728,0.00016279393,0.00005427331,0.00007212889,0.00031370056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886346,0.0000069186744,0.00026193712,0.00018353798,0.00021297931,0.0004711753],"domain_scores_gemma":[0.99922425,0.000022460117,0.000078438905,0.00022218458,0.0002595107,0.00019317573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001704588,0.0002299502,0.0002469853,0.00008077727,0.00013428192,0.000101128804,0.00026263323,0.00010793794,0.000026721977],"category_scores_gemma":[0.00006893551,0.00022219708,0.000034450677,0.00042755387,0.00003323046,0.001103142,0.000058568043,0.00016378306,0.00007959585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053072526,0.000057740945,0.07175122,0.00017407515,0.000103306294,6.603231e-7,0.0014143282,0.9164263,0.0019725994,0.0010389937,0.0054342723,0.0015734294],"study_design_scores_gemma":[0.0039996537,0.0003003548,0.081529684,0.0009387647,0.00025147747,0.00011820147,0.0024265603,0.8328406,0.010817948,0.00020966608,0.06395016,0.002616913],"about_ca_topic_score_codex":0.000028143624,"about_ca_topic_score_gemma":0.000019947194,"teacher_disagreement_score":0.45830005,"about_ca_system_score_codex":0.0002077733,"about_ca_system_score_gemma":0.000009804129,"threshold_uncertainty_score":0.90609336},"labels":[],"label_agreement":null},{"id":"W1966914802","doi":"10.3182/20130714-3-fr-4040.00018","title":"Transient Fluid Temperature Estimation in Wellbores","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Reservoir Engineering and Simulation Methods","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":"Observability; Fluid dynamics; Discretization; Control theory (sociology); Observer (physics); Wellhead; Transient (computer programming); Transfer function; Kalman filter; Engineering; Mechanics; Work (physics); Mathematics; Applied mathematics; Computer science; Mechanical engineering; Mathematical analysis; Physics","score_opus":0.006417074119163781,"score_gpt":0.22351902007716273,"score_spread":0.21710194595799895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966914802","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":[0.991548,0.00032895774,0.004121594,0.00015121138,0.00017401672,0.00023872091,0.0000017066601,0.00048177733,0.002954018],"genre_scores_gemma":[0.9726223,0.000041531403,0.026838243,0.000017245255,0.00005086139,0.00007723234,0.0000058501546,0.000033854896,0.00031293533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921215,0.000004291013,0.0002267966,0.00015507676,0.00015542128,0.000246284],"domain_scores_gemma":[0.99974906,0.000024010033,0.000013849881,0.00007278837,0.00006712543,0.000073160285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013354428,0.00015677621,0.00016049563,0.00016904504,0.00003195988,0.0001250518,0.00011703276,0.0001174081,0.000110014],"category_scores_gemma":[0.000062012645,0.00015232463,0.000038942384,0.00030692163,0.000015235106,0.00046701913,0.000008967876,0.00018891657,0.00007139698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024931362,0.000011316837,0.002771426,0.00016040062,0.000011426011,7.4098875e-7,0.00086687657,0.9452423,0.040549688,0.00018461519,0.005095706,0.005103007],"study_design_scores_gemma":[0.00026352113,0.000014973716,0.026570234,0.000052184285,0.0000034611032,0.0000025940483,0.000098630895,0.9620613,0.008436131,0.00035304847,0.0019536312,0.00019032852],"about_ca_topic_score_codex":0.000024508838,"about_ca_topic_score_gemma":0.0000015997186,"teacher_disagreement_score":0.032113556,"about_ca_system_score_codex":0.0000527103,"about_ca_system_score_gemma":0.000005844077,"threshold_uncertainty_score":0.6211618},"labels":[],"label_agreement":null},{"id":"W1968207289","doi":"10.3182/20050703-6-cz-1902.00011","title":"USE OF AN AUTOASSOCIATIVE NEURAL NETWORK FOR DYNAMIC DATA RECONCILIATION","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Artificial neural network; Computer science; Artificial intelligence","score_opus":0.030139775246358615,"score_gpt":0.25835660977683134,"score_spread":0.22821683453047273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968207289","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":[0.9963322,0.00020916335,0.0013631458,0.00015757397,0.0005283591,0.0004876162,0.00017426928,0.0004905166,0.00025710667],"genre_scores_gemma":[0.99468875,0.0000121678495,0.0043227156,0.00004202371,0.00034155248,0.000046707373,0.00006194221,0.000029983965,0.0004541653],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991732,0.000005605698,0.00027786515,0.00019804569,0.00012177647,0.00022346576],"domain_scores_gemma":[0.99953896,0.00004382486,0.00010714895,0.00013376125,0.00012548827,0.000050792583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022645394,0.00011855657,0.0002013664,0.000044208955,0.000061211984,0.000074316085,0.00019148907,0.00009047726,0.0000077628165],"category_scores_gemma":[0.00012963508,0.00012552847,0.00004192705,0.0001340271,0.0000142062945,0.0011379973,0.000022422868,0.00008427927,0.000005810151],"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":[0.00022560419,0.00011857681,0.015048781,0.0005569832,0.0005761937,5.448169e-7,0.0036153793,0.17992297,0.029582586,0.00058250263,0.058365863,0.711404],"study_design_scores_gemma":[0.00029698657,0.00005743644,0.0038971433,0.000019943036,0.000022661305,0.000001844202,0.00012929065,0.9686098,0.00029271242,0.000047487287,0.026492756,0.00013190009],"about_ca_topic_score_codex":0.00003563476,"about_ca_topic_score_gemma":0.00023052504,"teacher_disagreement_score":0.7886869,"about_ca_system_score_codex":0.00010814076,"about_ca_system_score_gemma":0.000010321869,"threshold_uncertainty_score":0.51189023},"labels":[],"label_agreement":null},{"id":"W1969007827","doi":"10.3182/20120711-3-be-2027.00401","title":"Feedfoward and feedback adaptive controls for Continuously Variable Transmissions","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Control theory (sociology); Feed forward; Nonlinear system; Pulley; Controller (irrigation); Regularization (linguistics); Adaptive control; Computer science; Feedback linearization; Variable (mathematics); Control engineering; Engineering; Mathematics; Artificial intelligence; Control (management)","score_opus":0.01276064779003341,"score_gpt":0.20825568920594428,"score_spread":0.19549504141591087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969007827","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":[0.65251917,0.009871414,0.19330442,0.00057460304,0.0019784619,0.003923574,0.00018290382,0.0019295054,0.13571596],"genre_scores_gemma":[0.9900054,0.000041161053,0.0077978335,0.000057343746,0.00035148137,0.00021922908,0.0000037670636,0.000053164655,0.0014706384],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989025,0.000004566205,0.00028405408,0.00016334598,0.00013169307,0.0005138548],"domain_scores_gemma":[0.9994344,0.00010874355,0.000049411363,0.00006446882,0.0000932512,0.00024973007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030475468,0.00021619754,0.0003742314,0.000056604327,0.000118842596,0.000078225145,0.00010784272,0.00013994607,0.000050243034],"category_scores_gemma":[0.00007402351,0.00019519139,0.00006266947,0.00011038075,0.000043602577,0.00039033295,0.000013462048,0.00010949761,0.000030575262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005788657,0.0005543302,0.09110625,0.007970014,0.002846506,0.0000032263706,0.08761035,0.0012883994,0.19237514,0.10198309,0.35478508,0.15889876],"study_design_scores_gemma":[0.006094334,0.00047896514,0.011468994,0.0010145139,0.00045716474,0.00017101655,0.00937138,0.2917471,0.006709855,0.0035574923,0.66695195,0.0019772404],"about_ca_topic_score_codex":0.000023471024,"about_ca_topic_score_gemma":8.831073e-7,"teacher_disagreement_score":0.33748624,"about_ca_system_score_codex":0.000034208726,"about_ca_system_score_gemma":0.000013506837,"threshold_uncertainty_score":0.79596734},"labels":[],"label_agreement":null},{"id":"W1969228837","doi":"10.3182/20130619-3-ru-3018.00269","title":"Designing Public Storage Warehouses with High Demand for Revenue Maximization","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Warehouse; Revenue; Maximization; Computer science; Business; Process engineering; Operations research; Database; Industrial organization; Engineering; Microeconomics; Economics; Marketing; Finance","score_opus":0.011054131684065348,"score_gpt":0.18932292657729932,"score_spread":0.17826879489323397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969228837","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":[0.094950594,0.00010922078,0.9033443,0.00010582682,0.000109903645,0.0004883098,0.000011918655,0.0006128345,0.00026712733],"genre_scores_gemma":[0.82240474,0.000039557544,0.1767722,0.000023450904,0.00009767711,0.00021715212,0.000022724422,0.00006258609,0.00035991226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992541,0.0000023754574,0.00015271895,0.00019457004,0.000110307854,0.0002859499],"domain_scores_gemma":[0.9995517,0.000033569533,0.0000625864,0.00007053211,0.00020893611,0.00007267694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007002405,0.00016671806,0.00015293492,0.000095684074,0.00014497667,0.00018797272,0.0001050237,0.000076429555,0.000022479819],"category_scores_gemma":[0.00011523163,0.00015444824,0.000021607115,0.00012693352,0.000034136,0.00065943063,0.000014725681,0.0000890329,0.000012782534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019316249,0.000030595336,0.0021188834,0.0005200502,0.00007599631,0.0000010149126,0.00065900624,0.9708963,0.0025495046,0.00148052,0.009802877,0.011845935],"study_design_scores_gemma":[0.003083998,0.00065601035,0.0131555945,0.00041395018,0.00018775342,0.000041244853,0.0011008594,0.8792855,0.062506475,0.019641407,0.017651571,0.0022756106],"about_ca_topic_score_codex":0.000012959534,"about_ca_topic_score_gemma":0.0000035172875,"teacher_disagreement_score":0.7274541,"about_ca_system_score_codex":0.00006722698,"about_ca_system_score_gemma":0.000011609882,"threshold_uncertainty_score":0.6298216},"labels":[],"label_agreement":null},{"id":"W1969518951","doi":"10.3182/20020721-6-es-1901.00724","title":"HYBRID NEURAL MODELS FOR TIME-SERIES FORECASTING","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial neural network; Series (stratigraphy); Computer science; Nonlinear system; Time series; Simple (philosophy); Chaotic; Artificial intelligence; Machine learning","score_opus":0.037007006652312095,"score_gpt":0.22210111479944109,"score_spread":0.18509410814712898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969518951","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":[0.26750955,0.0010215797,0.68583715,0.016658941,0.00061509956,0.0021321387,0.000039314546,0.0022543587,0.023931889],"genre_scores_gemma":[0.919483,0.000015755895,0.074536145,0.00033181702,0.00027368197,0.00019504898,0.0000023027076,0.000020740561,0.0051415],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989066,0.0000019825861,0.00019413373,0.00038408302,0.00014478907,0.00036841392],"domain_scores_gemma":[0.9994902,0.000038634218,0.00009790684,0.00013857767,0.0001457884,0.000088893925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008184084,0.00014682498,0.00014828968,0.000046259396,0.00031113587,0.0003386151,0.00059528294,0.00003124405,0.000017228447],"category_scores_gemma":[0.000025635258,0.00013790876,0.00008095258,0.00019355991,0.000042242486,0.0014717638,0.00015363439,0.00008679579,0.00003904953],"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":[0.000016043594,0.00015171808,0.00045932896,0.00011598884,0.00004019988,0.0000055526766,0.0012398276,0.0022866314,0.0030752567,0.21142648,0.26576906,0.5154139],"study_design_scores_gemma":[0.00012175215,0.00006847669,0.000019470159,0.0000121737685,0.000005079028,0.000045948862,0.000008030459,0.96207637,0.0011296903,0.028102737,0.008239153,0.0001711477],"about_ca_topic_score_codex":0.0000028117242,"about_ca_topic_score_gemma":3.227478e-7,"teacher_disagreement_score":0.9597897,"about_ca_system_score_codex":0.00001596902,"about_ca_system_score_gemma":0.0000050435283,"threshold_uncertainty_score":0.5623756},"labels":[],"label_agreement":null},{"id":"W1971151099","doi":"10.3182/20130811-5-us-2037.00075","title":"Visualization of Control Structure in Human-Automation System Based on Cognitive Work Analysis","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Kyoto University Foundation","keywords":"Automation; Visualization; Process (computing); Domain (mathematical analysis); Control (management); Computer science; Control system; Engineering; Process control; Control engineering; Systems engineering; Human–computer interaction; Artificial intelligence","score_opus":0.010788670845502538,"score_gpt":0.31558107328139823,"score_spread":0.30479240243589567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971151099","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":[0.9749139,0.000013876442,0.0053507304,0.00009096212,0.00022065341,0.0007047012,0.000029354338,0.0002339199,0.018441878],"genre_scores_gemma":[0.9987989,2.8487887e-7,0.00008410844,0.00019682012,0.000060513565,0.00015710102,0.00007899528,0.000020761281,0.0006025206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984569,0.00006957327,0.0006267622,0.00033546097,0.0003011931,0.0002101305],"domain_scores_gemma":[0.9986403,0.00011691521,0.0005006479,0.000107427426,0.0005756938,0.000059023412],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021143178,0.00018412176,0.0003915472,0.00092243124,0.00009533647,0.000079897305,0.00011972264,0.00018104605,0.004598374],"category_scores_gemma":[0.000105908075,0.0001774153,0.00012724727,0.0012051669,0.000050064256,0.00027702775,0.0000088575825,0.0001487994,0.00016949266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035225644,0.00044836837,0.94593596,0.00033115136,0.00089081447,0.0000023975026,0.009253766,0.0011504819,0.0029705176,0.031188114,0.003730089,0.003746053],"study_design_scores_gemma":[0.0019162691,0.0001368434,0.87620866,0.0002751324,0.00022237202,0.000001266074,0.0041644126,0.11622932,0.0004619367,0.00008973481,0.000070286405,0.00022377084],"about_ca_topic_score_codex":0.00017855193,"about_ca_topic_score_gemma":0.000018595914,"teacher_disagreement_score":0.11507884,"about_ca_system_score_codex":0.00012350197,"about_ca_system_score_gemma":0.0000145622225,"threshold_uncertainty_score":0.99631155},"labels":[],"label_agreement":null},{"id":"W1971186875","doi":"10.3182/20050703-6-cz-1902.01634","title":"ADAPTIVE OUTPUT FEEDBACK EXTREMUM SEEKING CONTROL OF LINEAR SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Adaptive control; Lyapunov function; Control (management); Output feedback; Linear system; Horizon; Mathematics; Engineering; Computer science; Nonlinear system","score_opus":0.011629026229701061,"score_gpt":0.19964827571228458,"score_spread":0.18801924948258353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971186875","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":[0.43425202,0.02790814,0.4198145,0.00060479256,0.004852661,0.004394036,0.00021976026,0.006139138,0.10181494],"genre_scores_gemma":[0.99563813,0.000034533947,0.0013758175,0.00003181371,0.0013163048,0.00008333317,0.0000028440381,0.00013487642,0.0013823151],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975119,0.000017732717,0.0008525279,0.0004141181,0.0005318233,0.0006718782],"domain_scores_gemma":[0.99883074,0.00009843153,0.00027391402,0.00022807397,0.00039313495,0.00017571477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046734247,0.00043931737,0.00080839003,0.00025976892,0.00010737348,0.00011480806,0.00042770765,0.00025258173,0.000018690222],"category_scores_gemma":[0.00010770294,0.00045084793,0.00018877264,0.00032480535,0.00008400114,0.000586939,0.000046723428,0.0003377119,0.00017062707],"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":[0.00036565188,0.0003530786,0.068926506,0.0031816685,0.0020470482,0.00002268166,0.0098304665,0.076143764,0.7713116,0.0051212404,0.021221096,0.04147519],"study_design_scores_gemma":[0.0013530714,0.00008546889,0.0007243115,0.00040060375,0.00007955126,0.00003198198,0.00070023106,0.97688204,0.0005327652,0.000024285438,0.018726021,0.00045967632],"about_ca_topic_score_codex":0.00010208036,"about_ca_topic_score_gemma":0.000013048903,"teacher_disagreement_score":0.90073824,"about_ca_system_score_codex":0.00024359554,"about_ca_system_score_gemma":0.000031307438,"threshold_uncertainty_score":0.9997943},"labels":[],"label_agreement":null},{"id":"W1973203782","doi":"10.3182/20050703-6-cz-1902.01546","title":"LIFE EXTENDING CONTROL BY A VARIANCE CONSTRAINED MPC APPROACH","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"","keywords":"Control theory (sociology); Model predictive control; Boiler (water heating); Variance (accounting); Engineering; Mathematical optimization; Mathematics; Control (management); Computer science; Artificial intelligence","score_opus":0.003936326414809362,"score_gpt":0.18363831509212528,"score_spread":0.1797019886773159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973203782","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":[0.009613493,0.0034422816,0.94475925,0.0004854707,0.0002883469,0.0009842706,0.000055358392,0.002139165,0.03823238],"genre_scores_gemma":[0.96784675,0.00005214385,0.030447168,0.00023383285,0.00044648064,0.00020010369,0.000011989369,0.000083977335,0.0006775354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844784,0.000006667942,0.00042976724,0.0003580532,0.00024484648,0.0005128577],"domain_scores_gemma":[0.9993483,0.000034977274,0.00011501771,0.00011705833,0.00012893594,0.00025570014],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019469451,0.00030183527,0.00039301693,0.000099071134,0.00011796289,0.00014111998,0.0002288417,0.00015368221,0.000037703532],"category_scores_gemma":[0.00025398278,0.00032812572,0.00007106029,0.00025257567,0.00006231844,0.0008370635,0.000018375014,0.00021782288,0.000055599525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016561041,0.00026803438,0.005503454,0.0009706365,0.0008397707,0.000004849702,0.0025795596,0.6181263,0.18663071,0.02174097,0.09004825,0.07312186],"study_design_scores_gemma":[0.001752939,0.000025135652,0.000081041326,0.000044972894,0.0000362889,0.000023108576,0.00020416753,0.9732991,0.0006152814,0.00009344498,0.023392307,0.00043223935],"about_ca_topic_score_codex":0.000004690682,"about_ca_topic_score_gemma":4.9188594e-7,"teacher_disagreement_score":0.9582333,"about_ca_system_score_codex":0.00015463082,"about_ca_system_score_gemma":0.000027862872,"threshold_uncertainty_score":0.9999171},"labels":[],"label_agreement":null},{"id":"W1973492452","doi":"10.3182/20110828-6-it-1002.02402","title":"Discontinuous Modeling Formulations for the Optimal Control of Partial Shutdowns*","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Shutdown; Model predictive control; Optimal control; Mathematical optimization; Engineering; Classification of discontinuities; Control theory (sociology); Regularization (linguistics); Minification; Control (management); Control engineering; Computer science; Mathematics; Artificial intelligence","score_opus":0.018643633012442918,"score_gpt":0.21338275462154546,"score_spread":0.19473912160910253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973492452","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":[0.046938132,0.00037444165,0.9504686,0.000031482836,0.00018763386,0.000812125,0.000027144972,0.00022474153,0.00093568227],"genre_scores_gemma":[0.97983444,0.0000123418895,0.019539779,0.000009023021,0.00015108191,0.0003366662,0.000003249266,0.000043719567,0.00006970727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908924,0.000002195482,0.0003725401,0.00014756568,0.0001191185,0.0002693233],"domain_scores_gemma":[0.99949753,0.000049230195,0.000093510134,0.00010136228,0.00021573351,0.000042621523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014725038,0.00015092276,0.00023138315,0.000053719188,0.00011416867,0.000030112173,0.00018043784,0.00006998791,0.000011140381],"category_scores_gemma":[0.00009178461,0.00011980225,0.0000998157,0.00010275423,0.000033239,0.00044004925,0.000015249545,0.000077773526,0.0000027137876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080391495,0.000018867793,0.0011411299,0.00008359587,0.00014144402,1.1431056e-7,0.0017282729,0.98164296,0.0032401008,0.007605275,0.00007974342,0.0042380965],"study_design_scores_gemma":[0.0007585766,0.00004438002,0.00012201708,0.00002511682,0.000081846854,0.0000020596447,0.00031519707,0.9964441,0.0012487076,0.0005784191,0.00023983588,0.00013975313],"about_ca_topic_score_codex":0.000022041415,"about_ca_topic_score_gemma":0.0000034159555,"teacher_disagreement_score":0.9328963,"about_ca_system_score_codex":0.000029832652,"about_ca_system_score_gemma":0.000010240108,"threshold_uncertainty_score":0.4885394},"labels":[],"label_agreement":null},{"id":"W1975508008","doi":"10.3182/20071017-3-br-2923.00024","title":"FEEDBACK CONTROL DESIGN FOR SWITCHED SYSTEMS WITH TIME-VARYING DELAY","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalsa Corporation","funders":"","keywords":"Control theory (sociology); Discrete time and continuous time; Stability (learning theory); Feedback control; Control (management); Output feedback; Construct (python library); Computer science; Linear matrix inequality; Lyapunov function; Control system; Mathematics; Control engineering; Engineering; Mathematical optimization; Nonlinear system","score_opus":0.011762111753494365,"score_gpt":0.20603129351155589,"score_spread":0.19426918175806152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975508008","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":[0.22196122,0.0022216819,0.76355714,0.00011433391,0.00061011047,0.0034205914,0.00002540232,0.001481375,0.0066081313],"genre_scores_gemma":[0.9945775,0.000004421897,0.004022089,0.000046957903,0.00042256046,0.0003071634,0.0000033959698,0.000090184796,0.0005256795],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981007,0.0000083223695,0.000498147,0.0003572388,0.0003147247,0.00072089053],"domain_scores_gemma":[0.9988458,0.00035958824,0.00011355236,0.00014473758,0.00035656715,0.00017972161],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011933972,0.00033819745,0.00053872686,0.0001250317,0.00015551418,0.00020607331,0.000257943,0.0001888261,0.000012138681],"category_scores_gemma":[0.00010845131,0.00029431985,0.00010403716,0.00023982796,0.000055637294,0.0003655515,0.000010914318,0.00016550509,0.000054374515],"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":[0.011598174,0.0005456498,0.06161163,0.009982028,0.005450867,0.00009361688,0.014774447,0.34661818,0.45353022,0.005906069,0.04219238,0.047696743],"study_design_scores_gemma":[0.0066017914,0.0006541919,0.00093963504,0.00043782537,0.00022935636,0.000112094116,0.0017043083,0.9708924,0.005792966,0.00023000447,0.01127585,0.0011295257],"about_ca_topic_score_codex":0.000035152618,"about_ca_topic_score_gemma":0.0000041985777,"teacher_disagreement_score":0.7726163,"about_ca_system_score_codex":0.00018677158,"about_ca_system_score_gemma":0.000035774465,"threshold_uncertainty_score":0.9999509},"labels":[],"label_agreement":null},{"id":"W1976770393","doi":"10.3182/20090712-4-tr-2008.00038","title":"Robust Adaptive MPC for Systems with Exogeneous Disturbances","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","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":"Queen's University","funders":"","keywords":"Parameterized complexity; Model predictive control; Control theory (sociology); Nonlinear system; Minimax; Adaptive control; Lipschitz continuity; Mathematical optimization; Computation; Computer science; Mathematics; Control (management); Algorithm; Artificial intelligence","score_opus":0.011818308741330129,"score_gpt":0.18364639859748333,"score_spread":0.1718280898561532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976770393","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":[0.042619873,0.0070479144,0.93294346,0.00013369572,0.0006552216,0.0026574666,0.00004968049,0.0021115423,0.011781122],"genre_scores_gemma":[0.98198307,0.000033277505,0.016600732,0.00001830616,0.00032251366,0.00026143796,0.000007462097,0.00005296313,0.0007202556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989364,0.0000022656138,0.0002455312,0.00027866894,0.00018055255,0.00035656177],"domain_scores_gemma":[0.99948,0.00002413424,0.00009342224,0.00008770132,0.0002353109,0.00007939261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007324209,0.000242459,0.00030692294,0.00007221791,0.000105324776,0.00011952897,0.00015340588,0.00008695294,0.0000016188412],"category_scores_gemma":[0.000028066801,0.00021244942,0.000045609184,0.00018681386,0.000026195878,0.00044594315,0.000006280422,0.000083401355,0.000006043198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012734045,0.00002192677,0.0006137624,0.00020064875,0.00009628035,0.0000029674306,0.0004279481,0.9843699,0.001792916,0.0036149803,0.002215608,0.006515718],"study_design_scores_gemma":[0.00090277963,0.00046427338,0.00045740145,0.00021744773,0.000054679847,0.000044513785,0.00063929777,0.99075747,0.0007284265,0.00029057666,0.0049392385,0.0005039111],"about_ca_topic_score_codex":0.000007680425,"about_ca_topic_score_gemma":0.00000449324,"teacher_disagreement_score":0.9393632,"about_ca_system_score_codex":0.00012546548,"about_ca_system_score_gemma":0.0000119514825,"threshold_uncertainty_score":0.86634356},"labels":[],"label_agreement":null},{"id":"W1977610210","doi":"10.3182/20080706-5-kr-1001.02371","title":"Self-scheduling controller for a launcher in atmospheric ascent","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Takeoff; Scheduling (production processes); Decoupling (probability); Control theory (sociology); Engineering; Takeoff and landing; Atmospheric entry; Trajectory; Control engineering; Aerospace engineering; Computer science; Simulation; Control (management); Artificial intelligence; Physics","score_opus":0.010486198541812703,"score_gpt":0.2006756431120404,"score_spread":0.19018944457022768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977610210","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":[0.9870354,0.0025643068,0.003722111,0.00017142929,0.00035134278,0.0011305935,0.000004965058,0.00073466473,0.0042851754],"genre_scores_gemma":[0.9882191,0.000080492166,0.0106260395,0.000070614646,0.00024514407,0.00042763387,0.0000012366463,0.00004778691,0.00028197703],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869645,0.000004876894,0.0003822702,0.00027263173,0.00018918859,0.0004546047],"domain_scores_gemma":[0.99957514,0.000071899114,0.00005002848,0.00007845834,0.00013551337,0.00008899085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025982028,0.00022230079,0.00041133014,0.000026609705,0.0000867453,0.00004345194,0.00017015988,0.00014197428,0.000018118228],"category_scores_gemma":[0.000109799184,0.00022081297,0.00013114275,0.00022713943,0.000032047697,0.00023078917,0.000016395445,0.00015711287,0.000025724328],"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":[0.0012363285,0.0010904351,0.80970854,0.005561042,0.0014488184,0.00004326423,0.049365807,0.042054147,0.02644158,0.006470039,0.017875632,0.03870437],"study_design_scores_gemma":[0.0039011743,0.000106076135,0.009229243,0.00008933766,0.000031120784,0.000021545788,0.0010829272,0.93619627,0.000403896,0.0003782902,0.048060775,0.00049936504],"about_ca_topic_score_codex":0.00003506575,"about_ca_topic_score_gemma":0.000014583658,"teacher_disagreement_score":0.8941421,"about_ca_system_score_codex":0.00019704136,"about_ca_system_score_gemma":0.000030329174,"threshold_uncertainty_score":0.90044916},"labels":[],"label_agreement":null},{"id":"W1978939703","doi":"10.3182/20060829-4-cn-2909.00233","title":"DETECTION AND ISOLATION OF MODEL-PLANT MISMATCH FOR MULTIVARIATE DYNAMIC SYSTEMS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Isolation (microbiology); Scheme (mathematics); Computer science; Control theory (sociology); State space; State-space representation; Algorithm; Mathematics; Artificial intelligence; Machine learning; Control (management); Statistics","score_opus":0.006315751305077153,"score_gpt":0.2017227637863394,"score_spread":0.19540701248126224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978939703","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":[0.81896716,0.0004425352,0.17874023,0.000011585641,0.00034698177,0.00053699233,0.000038441838,0.00032747744,0.0005885647],"genre_scores_gemma":[0.99873346,0.000009747289,0.0007022578,0.0000017466449,0.000066832596,0.0001229095,0.0000050682443,0.000027548229,0.0003304434],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993197,0.0000025165552,0.00028060243,0.00014484597,0.00009641103,0.00015595194],"domain_scores_gemma":[0.9997431,0.000016011987,0.000079487894,0.000041386822,0.00009096474,0.000029031562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116687304,0.0001232648,0.00019407894,0.000098748416,0.00006066508,0.00005539988,0.000042174906,0.00010325351,5.416236e-7],"category_scores_gemma":[0.000011938788,0.00012446832,0.00004009394,0.00008431446,0.000013430257,0.00017529565,0.000005725472,0.000055336197,0.000001719249],"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":[0.00005495111,0.000014964923,0.0005155395,0.00090110616,0.00004362846,1.1721505e-7,0.0002987516,0.07074423,0.92397463,0.0005523076,0.00018916125,0.0027106048],"study_design_scores_gemma":[0.0005192325,0.000038757942,0.00063980086,0.000050938972,0.00002114791,0.000011617198,0.00016833967,0.9915898,0.0061183483,0.00024024886,0.000469453,0.00013235117],"about_ca_topic_score_codex":0.00025454853,"about_ca_topic_score_gemma":0.000046988116,"teacher_disagreement_score":0.9208455,"about_ca_system_score_codex":0.000053519296,"about_ca_system_score_gemma":0.000004198409,"threshold_uncertainty_score":0.50756705},"labels":[],"label_agreement":null},{"id":"W1979064470","doi":"10.3182/20060517-3-fr-2903.00239","title":"OPTIMAL PRODUCT SEGMENTATION WITH STRATEGIC CUSTOMERS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"Western University","funders":"","keywords":"Ticket; Market segmentation; Business; Product (mathematics); Function (biology); Limit (mathematics); Marketing; Yield (engineering); Segmentation; Computer science; Computer security; Mathematics; Artificial intelligence","score_opus":0.013989152270128948,"score_gpt":0.20430050371674854,"score_spread":0.1903113514466196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979064470","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":[0.79222745,0.000060726,0.00006442043,0.0007056941,0.00019562003,0.00047224227,8.96826e-7,0.00032474444,0.2059482],"genre_scores_gemma":[0.99173146,0.0000027986146,0.0009943285,0.00048678,0.0014527492,0.00008368918,0.00004363908,0.000040664832,0.0051638614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985599,0.0000014366137,0.00023831073,0.00042342755,0.00040152107,0.00037540958],"domain_scores_gemma":[0.9994629,0.0000034724662,0.00021818625,0.00009551967,0.00020621138,0.000013709448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020732333,0.00023599282,0.00017428676,0.00026266035,0.0002059,0.0006206227,0.00020193543,0.000036359823,0.00025021879],"category_scores_gemma":[0.000009016876,0.0002000981,0.000049972856,0.00053518865,0.000084682186,0.0017746295,0.000075915916,0.0001028292,0.00031617063],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004372124,0.00088410353,0.32750925,0.0019818742,0.00026160094,0.00004542117,0.00033641577,0.0040795794,0.011838193,0.42585665,0.21580435,0.010965339],"study_design_scores_gemma":[0.009431273,0.0004780857,0.098391764,0.00055553135,0.0010403268,0.000039533657,0.032858282,0.072974905,0.01177242,0.018873084,0.74850917,0.005075647],"about_ca_topic_score_codex":0.0005713895,"about_ca_topic_score_gemma":0.000031918727,"teacher_disagreement_score":0.5327048,"about_ca_system_score_codex":0.000060730585,"about_ca_system_score_gemma":0.000016589785,"threshold_uncertainty_score":0.8159764},"labels":[],"label_agreement":null},{"id":"W1979349694","doi":"10.3182/20090603-3-ru-2001.0491","title":"Economic Life of Capital Equipments in a Cellular Manufacturing System","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Manufacturing and Logistics Optimization","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 Toronto","funders":"","keywords":"Capital equipment; Workload; Capital (architecture); Capital cost; Time horizon; Cellular manufacturing; Scale (ratio); Engineering; Reliability engineering; Computer science; Mathematical optimization; Operations management; Manufacturing engineering; Mathematics; Electrical engineering","score_opus":0.005666343110758461,"score_gpt":0.19065042836044324,"score_spread":0.1849840852496848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979349694","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":[0.98614913,0.00021056428,0.008526353,0.000014368792,0.00019782694,0.00016043818,0.000006193713,0.00030840948,0.0044267075],"genre_scores_gemma":[0.9967617,0.00003807,0.0030401207,0.0000073703677,0.00006763501,0.000008474278,0.0000055442088,0.000022570168,0.00004850814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999162,0.0000017655392,0.0003145455,0.00017730979,0.000090341426,0.0002540148],"domain_scores_gemma":[0.99976116,0.000008938655,0.00007053913,0.00007325132,0.000016466829,0.00006963821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007560584,0.00016053271,0.00023237897,0.00015362288,0.000027835451,0.000029999666,0.00013176606,0.000080667305,0.000009642982],"category_scores_gemma":[0.000014271085,0.00017918141,0.000038254617,0.000041183885,0.000018532533,0.00023225042,0.00001905729,0.00011325246,0.000018042329],"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":[0.000023555049,0.000034543955,0.001418938,0.000669028,0.00003532714,0.000006719063,0.0011218988,0.9841162,0.005269394,0.003146044,0.00021658826,0.00394179],"study_design_scores_gemma":[0.001803112,0.00022442259,0.02147249,0.0006011451,0.000051813666,0.000014797798,0.0023423193,0.464671,0.5033587,0.0038179464,0.0005190478,0.0011231693],"about_ca_topic_score_codex":0.000018387478,"about_ca_topic_score_gemma":0.000002174434,"teacher_disagreement_score":0.5194452,"about_ca_system_score_codex":0.00019760689,"about_ca_system_score_gemma":0.000010577138,"threshold_uncertainty_score":0.7306806},"labels":[],"label_agreement":null},{"id":"W1979450995","doi":"10.3182/20080706-5-kr-1001.00840","title":"Identification of NARX Hammerstein Models Based on Support Vector Machines","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Nonlinear autoregressive exogenous model; Support vector machine; Outlier; Identification (biology); Nonlinear system; Computer science; Control theory (sociology); Function (biology); Autoregressive model; System identification; Algorithm; Artificial intelligence; Mathematics; Mathematical optimization; Control (management); Data mining; Artificial neural network; Statistics; Measure (data warehouse)","score_opus":0.012311842831138758,"score_gpt":0.19877580732830374,"score_spread":0.18646396449716499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979450995","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":[0.9880815,0.00022174897,0.005733496,0.0001369226,0.00046580247,0.0004139558,0.000031064792,0.00036857798,0.0045469007],"genre_scores_gemma":[0.99832785,0.000026424052,0.000106212916,0.000014279697,0.0001037788,0.00006397078,0.000015796695,0.000035966357,0.0013057081],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885136,0.000004454042,0.00045493178,0.000217891,0.00028898384,0.00018238151],"domain_scores_gemma":[0.99946254,0.000015644673,0.00013231779,0.00015081259,0.00018195683,0.000056707737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934363,0.00015509895,0.00022415588,0.00018270621,0.00007776694,0.00003564105,0.0001580214,0.00007972633,0.000036222413],"category_scores_gemma":[0.00004145032,0.00015935225,0.00008984875,0.000213633,0.00003656736,0.00035632745,0.000009339452,0.000086860586,0.000056243993],"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":[0.000109890236,0.0002484081,0.012651698,0.0011790808,0.00014708603,0.000004988869,0.0034162768,0.056062616,0.8755222,0.0030495871,0.031085595,0.016522551],"study_design_scores_gemma":[0.00035696285,0.000048763923,0.015168227,0.00004147272,0.000018850058,0.0000056165068,0.00006115528,0.9563099,0.026955571,0.000153214,0.0006926543,0.00018759561],"about_ca_topic_score_codex":0.000056110537,"about_ca_topic_score_gemma":0.00000492699,"teacher_disagreement_score":0.9002473,"about_ca_system_score_codex":0.00006212209,"about_ca_system_score_gemma":0.000019734493,"threshold_uncertainty_score":0.6498196},"labels":[],"label_agreement":null},{"id":"W1981883629","doi":"10.3182/20060906-3-it-2910.00056","title":"TOWARD UNIFICATION OF CONSTRAINED MECHANICS AND VIRTUAL FIXTURES IN HAPTIC RENDERING","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Cursor (databases); Computer science; Rendering (computer graphics); Unification; Human–computer interaction; Simulation; Computer graphics (images); Artificial intelligence; Programming language","score_opus":0.01133303226167503,"score_gpt":0.19601479026209723,"score_spread":0.1846817580004222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981883629","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":[0.98984456,0.00036071308,0.005547294,0.000074562144,0.000118708354,0.0001705104,0.000004958136,0.0001864113,0.0036922959],"genre_scores_gemma":[0.9987744,0.000032855045,0.0010180195,0.0000064188157,0.000046751873,0.000013057813,0.000003445729,0.000014517202,0.00009049585],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939597,0.000002387832,0.00025914228,0.000117875265,0.000101840014,0.00012280713],"domain_scores_gemma":[0.99983525,0.000013409212,0.000038505434,0.00003865852,0.00004799311,0.000026169057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010677703,0.000097016586,0.00015172017,0.00011047663,0.000019861078,0.00004019751,0.00005567294,0.00007138577,0.000013595596],"category_scores_gemma":[0.000027671396,0.00010239581,0.000016973305,0.000122031495,0.00002044831,0.00013411709,0.000010830466,0.00006852527,0.000002534185],"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":[0.0000139827025,0.000038333445,0.0068242284,0.00051179616,0.000033992477,0.0000026604287,0.004156558,0.0029414732,0.70871216,0.27032128,0.00091076025,0.0055328053],"study_design_scores_gemma":[0.0011592522,0.00010853891,0.017308718,0.0002852912,0.00002447931,0.000050924293,0.005567393,0.9450655,0.026270485,0.0024638888,0.0012077325,0.00048778864],"about_ca_topic_score_codex":0.00006302512,"about_ca_topic_score_gemma":0.000031696578,"teacher_disagreement_score":0.942124,"about_ca_system_score_codex":0.00002873435,"about_ca_system_score_gemma":0.000009277118,"threshold_uncertainty_score":0.417558},"labels":[],"label_agreement":null},{"id":"W1982160694","doi":"10.3182/20020721-6-es-1901.00927","title":"CANADIAN VIRTUAL LABORATORY FOR TELE-EDUCATION IN AEROSPACE AND MECHATRONICS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Teleoperation and Haptic 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":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mechatronics; Aerospace; Virtual Laboratory; Engineering; Aeronautics; Virtual instrument; Engineering management; Systems engineering; Multimedia; Manufacturing engineering; Computer science; Aerospace engineering; Control engineering; Operating system; Software","score_opus":0.005455666565896882,"score_gpt":0.18788554772376626,"score_spread":0.18242988115786937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982160694","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":[0.9928198,0.0016264792,0.00013396217,0.00046871885,0.00038358287,0.00038661103,0.000018203324,0.00015447571,0.0040081954],"genre_scores_gemma":[0.99695504,0.000088522036,0.00082724064,0.000093007846,0.00010623058,0.00008075879,0.0000031938148,0.000023488108,0.0018225226],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947864,0.0000015094041,0.00012837788,0.00012568293,0.000060366758,0.00020541473],"domain_scores_gemma":[0.99974257,0.000008627409,0.000015246124,0.000038773214,0.00007598789,0.00011880749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084878775,0.000095078205,0.00010510264,0.00012669565,0.000053989366,0.00008943992,0.000054228578,0.00008080503,0.000032802054],"category_scores_gemma":[0.00003921484,0.00010773839,0.000012425522,0.00012618411,0.0000111089175,0.00021040371,0.0000043589866,0.00007217273,0.000021833213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017084558,0.00016920782,0.17285228,0.0011793858,0.00013230277,0.0000024346912,0.03318476,0.0010892567,0.031086598,0.1738871,0.37656564,0.20983395],"study_design_scores_gemma":[0.0011387755,0.00015098693,0.0075489054,0.0001602239,0.00002007806,0.000014506272,0.009375706,0.34681782,0.0026140772,0.00019832369,0.6311637,0.0007968931],"about_ca_topic_score_codex":0.0015157535,"about_ca_topic_score_gemma":0.015759883,"teacher_disagreement_score":0.34572858,"about_ca_system_score_codex":0.00019420696,"about_ca_system_score_gemma":0.00007509835,"threshold_uncertainty_score":0.8794385},"labels":[],"label_agreement":null},{"id":"W1982732541","doi":"10.3182/20140824-6-za-1003.01231","title":"Integration of fault diagnosis and control by finding a trade-off between the detectability of stochastic fault and economics","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fault detection and isolation; Control theory (sociology); Fault (geology); Monte Carlo method; Polynomial; Polynomial chaos; Process (computing); Key (lock); Controller (irrigation); Continuous stirred-tank reactor; Engineering; Mathematical optimization; Computer science; Control (management); Control engineering; Mathematics; Artificial intelligence","score_opus":0.03334671370732933,"score_gpt":0.2742653972105703,"score_spread":0.24091868350324097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982732541","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":[0.87370926,0.00033270795,0.1250893,0.0004092468,0.000047105157,0.00030167328,0.000047914593,0.000018868468,0.000043896533],"genre_scores_gemma":[0.998822,0.000030178586,0.0010265479,0.000019987301,0.000039506274,0.000034464094,9.321661e-7,0.000009446022,0.000016969187],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857605,0.00003319481,0.0006044292,0.00034551535,0.0002669013,0.0001738964],"domain_scores_gemma":[0.996772,0.0025094014,0.00033932444,0.00014354358,0.00015582608,0.000079901845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021315948,0.00015396076,0.00043964013,0.00009862298,0.00010852608,0.000103766935,0.00030236665,0.00010510284,0.0000070056326],"category_scores_gemma":[0.006159626,0.00009865786,0.000057324018,0.00018872666,0.00034899783,0.00024272126,0.00005854274,0.00013512521,8.986372e-7],"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":[0.00012648087,0.00012754305,0.33946776,0.00025006998,0.0001662939,1.0496978e-7,0.0075804573,0.0023339107,0.016763393,0.0063935467,0.0020537926,0.62473667],"study_design_scores_gemma":[0.0022048964,0.0009891494,0.256612,0.00024335989,0.00031239094,0.000010780529,0.0030215161,0.6549205,0.016353047,0.06329048,0.0013599105,0.0006819525],"about_ca_topic_score_codex":0.000025636326,"about_ca_topic_score_gemma":0.000004827655,"teacher_disagreement_score":0.6525866,"about_ca_system_score_codex":0.00002262151,"about_ca_system_score_gemma":0.000019162575,"threshold_uncertainty_score":0.73740923},"labels":[],"label_agreement":null},{"id":"W1984103751","doi":"10.3182/20070606-3-mx-2915.00120","title":"PERFORMANCE-DRIVEN ADAPTIVE PID CONTROLLER DESIGN : THEORY AND EXPERIMENTAL EVALUATION","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"PID controller; Control theory (sociology); Control engineering; Controller (irrigation); Limit (mathematics); Identification (biology); Process (computing); Engineering; System identification; Scheme (mathematics); Adaptive control; Identification scheme; Computer science; Control (management); Temperature control; Data modeling; Mathematics; Artificial intelligence","score_opus":0.01563333085044323,"score_gpt":0.23877142580391872,"score_spread":0.22313809495347547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984103751","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":[0.9794215,0.0013892188,0.0072850203,0.00000796179,0.00029860385,0.00068249897,0.0000010918452,0.00034775934,0.010566352],"genre_scores_gemma":[0.9990314,0.000012899946,0.00038274602,0.000028123428,0.00016620522,0.000118246746,5.8295643e-7,0.00002815973,0.00023160095],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990797,0.000016889173,0.00021477167,0.00018054119,0.00025524435,0.00025282457],"domain_scores_gemma":[0.99967134,0.000054300974,0.00004400152,0.00004105276,0.000105026396,0.000084263396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011280759,0.00016270531,0.0001804809,0.0001093213,0.00011148528,0.000058724705,0.000067946414,0.00008858208,0.000049629674],"category_scores_gemma":[0.000039094837,0.0001533565,0.000036531233,0.000105540836,0.000043454223,0.0002988725,0.000013519679,0.000108232096,0.00003508101],"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":[0.0026541709,0.00011625377,0.008063497,0.0001723854,0.00057989784,0.000003607763,0.017075459,0.014676505,0.6921357,0.0027398025,0.0031156968,0.25866705],"study_design_scores_gemma":[0.0017214043,0.00023169332,0.0032543186,0.000037605845,0.00003595179,0.000018222783,0.0030229467,0.94070625,0.04975622,0.00009497185,0.00088187127,0.00023855535],"about_ca_topic_score_codex":0.00000445693,"about_ca_topic_score_gemma":0.0000011551905,"teacher_disagreement_score":0.92602974,"about_ca_system_score_codex":0.00012910242,"about_ca_system_score_gemma":0.000009824567,"threshold_uncertainty_score":0.6253696},"labels":[],"label_agreement":null},{"id":"W1984243490","doi":"10.3182/20090712-4-tr-2008.00077","title":"Multi-step Prediction Error Approach for MPC Performance Monitoring","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Interactor; Mean squared prediction error; Process (computing); Predictive modelling; Computer science; Engineering; Control (management); Control theory (sociology); Control engineering; Machine learning; Artificial intelligence","score_opus":0.018056811946171734,"score_gpt":0.2315253154043117,"score_spread":0.21346850345813997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984243490","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":[0.9592797,0.00046164566,0.032426026,0.00003538624,0.0011676699,0.000889472,0.000013034942,0.0018652636,0.003861794],"genre_scores_gemma":[0.984122,0.000027925187,0.01388032,0.000012645367,0.000652803,0.00022653199,0.000004376549,0.000034061344,0.0010393332],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901015,0.0000018748956,0.00025882403,0.00023419443,0.00016507732,0.0003299072],"domain_scores_gemma":[0.9996871,0.0000060415673,0.000045938672,0.000077509205,0.00009792838,0.000085509295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014458154,0.00019100947,0.0001988056,0.00010418808,0.00015045163,0.00009807899,0.00013449119,0.00012964579,0.0000026786936],"category_scores_gemma":[0.000024699468,0.00019412058,0.00008064186,0.00016647705,0.000013309755,0.00042091252,0.0000070808487,0.00015012787,0.0000133882295],"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":[0.0003330984,0.00040072436,0.14504622,0.0028196087,0.00038304663,0.0000013473814,0.0052361744,0.038540263,0.39254582,0.00014454962,0.019185621,0.3953635],"study_design_scores_gemma":[0.0007817006,0.00013406602,0.024213789,0.000048832473,0.000018526876,0.000011533428,0.0005959444,0.96294874,0.0053492244,0.0000033031604,0.005687834,0.00020653087],"about_ca_topic_score_codex":0.0000049862397,"about_ca_topic_score_gemma":3.1760587e-7,"teacher_disagreement_score":0.92440844,"about_ca_system_score_codex":0.00009764672,"about_ca_system_score_gemma":0.000006164548,"threshold_uncertainty_score":0.79160076},"labels":[],"label_agreement":null},{"id":"W1986736457","doi":"10.3182/20060625-4-ca-2906.00027","title":"DESIGN, IMPLEMENTATION AND TESTING OF AN ARTIFICIAL NEURAL NETWORK BASED ADMITTANCE RELAY","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power Systems Fault Detection","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 Saskatchewan","funders":"","keywords":"Relay; Artificial neural network; Admittance; Digital protective relay; Protective relay; Electric power transmission; Engineering; Transmission (telecommunications); Electric power system; Power transmission; Power-system protection; Computer science; Electronic engineering; Power (physics); Electrical engineering; Artificial intelligence; Electrical impedance","score_opus":0.016929735440810764,"score_gpt":0.240155945546017,"score_spread":0.2232262101052062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986736457","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":[0.97694016,0.00015434048,0.021753743,0.000010203352,0.00025650518,0.00026124308,0.0000033749363,0.0003660557,0.0002543599],"genre_scores_gemma":[0.9815129,5.722317e-7,0.018102227,0.000007243205,0.0002970726,0.000033386255,0.0000042069273,0.00003219245,0.000010194471],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908245,0.00000969606,0.00032743925,0.00018210906,0.00014794603,0.00025036788],"domain_scores_gemma":[0.9996601,0.00003884341,0.000103755585,0.000056234552,0.00009683574,0.000044272918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609594,0.00013658185,0.00015370235,0.00007193071,0.0000818704,0.00006191799,0.00006551499,0.00006438374,0.000005367858],"category_scores_gemma":[0.000024533689,0.00015423473,0.000018548817,0.00030254418,0.000024686766,0.00038568405,0.000009523865,0.00008830813,0.0000017719641],"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":[0.000078777746,0.0000466628,0.113910824,0.000508062,0.000037473917,0.0000055422224,0.000583234,0.14336039,0.6148194,0.00022547152,0.002693786,0.12373037],"study_design_scores_gemma":[0.00025041783,0.00016309913,0.019213784,0.000054459397,0.000020256877,0.00001510358,0.00021722632,0.8498786,0.12932098,0.00026999877,0.00038169464,0.00021438468],"about_ca_topic_score_codex":0.00012703815,"about_ca_topic_score_gemma":0.00005829355,"teacher_disagreement_score":0.7065182,"about_ca_system_score_codex":0.00004512113,"about_ca_system_score_gemma":0.000011637056,"threshold_uncertainty_score":0.62895095},"labels":[],"label_agreement":null},{"id":"W1989277850","doi":"10.3182/20110828-6-it-1002.02109","title":"Using Parameter Estimation techniques for determining analyte concentration from surface plasmon resonance measurements","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","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":"Polytechnique Montréal","funders":"","keywords":"Surface plasmon resonance; Analyte; Calibration; Biological system; Estimation theory; Calibration curve; Surface plasmon; Resonance (particle physics); Kinetic energy; Biosensor; Materials science; Computer science; Plasmon; Algorithm; Optics; Chemistry; Mathematics; Physics; Statistics; Nanotechnology; Detection limit; Chromatography; Nanoparticle","score_opus":0.06921684532748856,"score_gpt":0.30947912565188096,"score_spread":0.2402622803243924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989277850","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":[0.9633372,0.00014401767,0.03573395,0.000009436906,0.000038472575,0.00031142784,0.00001798754,0.0001042966,0.00030323525],"genre_scores_gemma":[0.6365516,0.000022064427,0.3632148,0.00004219655,0.000047699592,0.000012830446,0.000043523673,0.000017629649,0.00004765918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885476,0.000010154209,0.000285036,0.00045217032,0.00015371657,0.00024414316],"domain_scores_gemma":[0.9992786,0.000009046146,0.0002424717,0.00013145784,0.00028746098,0.000050978768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020090028,0.00019707376,0.00019301318,0.000032522963,0.00013531775,0.00005239558,0.00013507863,0.00018182918,0.0000016459887],"category_scores_gemma":[0.00017528127,0.00019137522,0.00009749833,0.000101841324,0.00006707929,0.000032680015,0.000034748435,0.000059998896,5.686304e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014984605,0.000028837125,0.017672338,0.000012443186,0.000045773468,2.8217525e-7,0.000095426665,0.0000033657802,0.96192217,0.000009207875,0.00009178529,0.01996854],"study_design_scores_gemma":[0.0001731215,0.00017937574,0.0011470608,0.00007164438,0.00007958537,0.0000027047274,0.000065249485,0.014945463,0.9821943,0.0005951785,0.00029775902,0.00024855215],"about_ca_topic_score_codex":0.000038344315,"about_ca_topic_score_gemma":0.000014329612,"teacher_disagreement_score":0.32748085,"about_ca_system_score_codex":0.000038293747,"about_ca_system_score_gemma":0.00002750729,"threshold_uncertainty_score":0.78040546},"labels":[],"label_agreement":null},{"id":"W1989286986","doi":"10.3182/20110828-6-it-1002.01726","title":"Casting Design Through Multi-Objective Optimization","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Sensitivity (control systems); Mathematical optimization; Multi-objective optimization; Casting; Engineering; Process (computing); Key (lock); Evolutionary algorithm; Computer science; Optimization problem; Mathematics","score_opus":0.06921899410958726,"score_gpt":0.26904380160671343,"score_spread":0.19982480749712617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989286986","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":[0.00018986786,0.000093033756,0.9913094,0.00004835964,0.0003564953,0.0006013303,0.0000022722454,0.0008645312,0.006534677],"genre_scores_gemma":[0.047800872,0.000034942663,0.9511886,0.00016967632,0.00007099963,0.000102287726,0.0000018818737,0.000047696536,0.0005830166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978558,0.000031171563,0.0003821908,0.00085464504,0.0003355143,0.00054066756],"domain_scores_gemma":[0.9983229,0.000065472355,0.00034088045,0.00024361441,0.0008982496,0.00012888608],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002860797,0.00033686994,0.0002810336,0.0001795969,0.00038639473,0.00020558495,0.00080997095,0.00013654135,0.000051102987],"category_scores_gemma":[0.0004958621,0.00034661428,0.00007814824,0.0009852289,0.00012235391,0.0037362033,0.0003262333,0.00023524989,0.000070041795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024585397,0.0021598192,0.01361212,0.00022029027,0.0005027319,0.0001363567,0.20170179,0.59916157,0.0040531266,0.05993589,0.0015030435,0.116767414],"study_design_scores_gemma":[0.00070281484,0.00013917498,0.00074957026,0.000039287246,0.00001343327,0.000054524593,0.00067494495,0.9837152,0.011867565,0.0014984539,0.000086890555,0.00045819237],"about_ca_topic_score_codex":0.000060489834,"about_ca_topic_score_gemma":0.0000015482212,"teacher_disagreement_score":0.38455358,"about_ca_system_score_codex":0.00017886498,"about_ca_system_score_gemma":0.000089940564,"threshold_uncertainty_score":0.9998986},"labels":[],"label_agreement":null},{"id":"W1989551784","doi":"10.3182/20060625-4-ca-2906.00052","title":"EXPERIMENTAL STUDIES ON A PROTO-TYPE POWER SYSTEM USING AN ADAPTIVE PSS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"","keywords":"Type (biology); Power (physics); Electric power system; Control theory (sociology); Computer science; Control engineering; Engineering; Biology; Artificial intelligence; Physics; Control (management)","score_opus":0.03354732919182524,"score_gpt":0.271123635028031,"score_spread":0.23757630583620576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989551784","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":[0.98506594,0.00063076604,0.00086466386,0.0000070075275,0.0007535471,0.0008675101,0.00000871913,0.0009727633,0.010829104],"genre_scores_gemma":[0.99762684,9.802555e-7,0.0019916522,0.00001262301,0.00007670593,0.00010715004,0.0000025449888,0.00004957692,0.00013194377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987641,0.000012592005,0.0003559419,0.0003208685,0.00025427662,0.00029220866],"domain_scores_gemma":[0.9994758,0.000011068759,0.000075491735,0.00012224431,0.00023728028,0.0000781511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018278783,0.00025834684,0.0003135388,0.00010236545,0.00014622266,0.00009737978,0.00013134071,0.000091516275,0.000017205493],"category_scores_gemma":[0.000022467779,0.00024292125,0.00005374977,0.0002435181,0.000056271463,0.00040252705,0.000032353593,0.00010835355,0.000027313998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020146735,0.0035386947,0.04316302,0.006271676,0.00184801,0.00010652436,0.09391011,0.40188602,0.333395,0.08944014,0.023907756,0.00051839044],"study_design_scores_gemma":[0.0012623168,0.0011742023,0.0011918785,0.0007009873,0.000052099713,0.000067367495,0.079981714,0.75352025,0.15929256,0.00008051194,0.0013705897,0.0013055255],"about_ca_topic_score_codex":0.000038867456,"about_ca_topic_score_gemma":0.000003610088,"teacher_disagreement_score":0.35163423,"about_ca_system_score_codex":0.000441208,"about_ca_system_score_gemma":0.00001827495,"threshold_uncertainty_score":0.9906041},"labels":[],"label_agreement":null},{"id":"W1989955747","doi":"10.3182/20110828-6-it-1002.00881","title":"A Robust Dynamic Feasibility Analysis for the Simultaneous Design and Control of Dynamic Systems under Uncertainty","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Realization (probability); Control theory (sociology); Control engineering; Process (computing); Key (lock); Robust control; Engineering; Computer science; Control system; Control (management); Mathematical optimization; Mathematics","score_opus":0.02412762820758027,"score_gpt":0.22324068884555234,"score_spread":0.19911306063797207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989955747","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":[0.045738652,0.001754755,0.95034516,0.000016716744,0.00011283778,0.0017444144,0.000039656592,0.00020823549,0.000039587707],"genre_scores_gemma":[0.989588,0.000054382264,0.009970656,0.0000069989355,0.000014967279,0.00023791002,0.000004593992,0.00004164256,0.00008084928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987946,0.00001726063,0.0004369924,0.00030209904,0.00015836339,0.00029069372],"domain_scores_gemma":[0.99877447,0.0004471806,0.00018311029,0.0001787644,0.0003528939,0.000063567415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043045013,0.00022831008,0.0004917814,0.0001355366,0.00010772829,0.000051562918,0.00019613441,0.000117378724,0.000004098072],"category_scores_gemma":[0.00020881722,0.00017927754,0.000118204,0.00038646898,0.00009470336,0.00019224914,0.000016810365,0.00009767186,8.3233033e-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":[0.00010377786,0.000015107101,0.00134572,0.00020465779,0.00070900924,2.955683e-7,0.00041271036,0.99457157,0.0016613442,0.00015390058,0.0000036392553,0.0008182978],"study_design_scores_gemma":[0.0007833734,0.00006602162,0.0016792993,0.000029172257,0.0006963127,0.0000048088486,0.0008064348,0.99541646,0.00003272409,0.00028987028,0.0000075561647,0.00018796761],"about_ca_topic_score_codex":0.00009622545,"about_ca_topic_score_gemma":0.00005214445,"teacher_disagreement_score":0.9438493,"about_ca_system_score_codex":0.00019115345,"about_ca_system_score_gemma":0.000016375374,"threshold_uncertainty_score":0.7310726},"labels":[],"label_agreement":null},{"id":"W1992520396","doi":"10.3182/20060829-4-cn-2909.00026","title":"MODELLING OF VERTICAL GYROSCOPES WITH CONSIDERATION OF FAULTS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Gyroscope; Flexibility (engineering); Parametric statistics; Fault (geology); Control theory (sociology); Lag; Engineering; Fault tolerance; Control engineering; Computer science; Control (management); Reliability engineering; Artificial intelligence; Aerospace engineering; Mathematics; Geology; Statistics; Seismology","score_opus":0.008390012659412426,"score_gpt":0.1857814251726825,"score_spread":0.1773914125132701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992520396","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":[0.97757703,0.00018950162,0.015409314,0.000016919335,0.00006913075,0.00012961788,0.0000029180658,0.00013821719,0.006467333],"genre_scores_gemma":[0.99855274,0.0000047293547,0.0012650386,0.0000034588047,0.000048300615,0.00001291488,0.0000011259854,0.00001662948,0.000095059615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993523,0.000002060436,0.00026410157,0.0000986358,0.00016054386,0.00012238947],"domain_scores_gemma":[0.9997514,0.000013101094,0.000036244364,0.00004256351,0.00013182267,0.000024867695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056748835,0.00009451817,0.00019488623,0.000062974665,0.000024749661,0.000016385578,0.00004414114,0.000057509536,0.0000077107925],"category_scores_gemma":[0.000010160463,0.00008311839,0.000031327076,0.00011416239,0.00004190374,0.00014593906,0.0000047498143,0.000059160928,0.000003660502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013098358,0.00007093607,0.017714297,0.0007522918,0.00010359491,0.0000011247971,0.00069105934,0.6598221,0.31292665,0.0055446704,0.0010655683,0.0011767279],"study_design_scores_gemma":[0.0004078982,0.00007038385,0.00042098033,0.000080963575,0.000017133585,0.0000064174865,0.00015396129,0.8406318,0.15757883,0.0001936139,0.00033942258,0.000098600685],"about_ca_topic_score_codex":0.00016002527,"about_ca_topic_score_gemma":0.000015803207,"teacher_disagreement_score":0.1808097,"about_ca_system_score_codex":0.000018036948,"about_ca_system_score_gemma":0.000009719684,"threshold_uncertainty_score":0.33894697},"labels":[],"label_agreement":null},{"id":"W1992749286","doi":"10.3182/20080706-5-kr-1001.01457","title":"Observer Forms for Perspective Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Observability; Observer (physics); Alpha beta filter; Constructive; Control theory (sociology); Separation principle; State observer; Nonlinear system; Transformation (genetics); Mathematics; Computer science; Perspective (graphical); Artificial intelligence; Control (management); Kalman filter; Applied mathematics","score_opus":0.030709757741687913,"score_gpt":0.27649845084795854,"score_spread":0.24578869310627063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992749286","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":[0.057689868,0.0014165688,0.9178986,0.0021332982,0.00087120495,0.000952395,0.000006304202,0.00093796884,0.018093776],"genre_scores_gemma":[0.8858453,0.000049437833,0.10903611,0.00027745354,0.00021135033,0.00010390222,8.3219504e-7,0.000021569187,0.004454057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878675,0.0000022028792,0.00018809184,0.00043296113,0.00023295809,0.00035701087],"domain_scores_gemma":[0.99909407,0.000029944715,0.0001060679,0.00014366295,0.00052275276,0.00010350476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012290072,0.00015064194,0.00018766448,0.0000902273,0.00033967654,0.00017116507,0.000565716,0.00004433501,0.0000032214364],"category_scores_gemma":[0.00013948126,0.00012807641,0.0000901286,0.00028036063,0.000060566566,0.001772517,0.00014578196,0.00009558053,0.00003916558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034919158,0.00010722679,0.011735526,0.00015606057,0.000059928472,0.000012390683,0.011368791,0.000046319135,0.0038860205,0.9109513,0.029303925,0.03233758],"study_design_scores_gemma":[0.0020385333,0.0004804521,0.009497178,0.00018319118,0.000016097896,0.00041185322,0.006220256,0.75022316,0.006115983,0.0408285,0.1828422,0.0011425753],"about_ca_topic_score_codex":0.000022272163,"about_ca_topic_score_gemma":3.9799147e-7,"teacher_disagreement_score":0.8701228,"about_ca_system_score_codex":0.00010993544,"about_ca_system_score_gemma":0.000046788395,"threshold_uncertainty_score":0.52228045},"labels":[],"label_agreement":null},{"id":"W1992753214","doi":"10.3182/20080706-5-kr-1001.01173","title":"Reliability Monitoring of Fault Tolerant Control Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Computer science; Fault tolerance; Control (management); Engineering; Artificial intelligence","score_opus":0.009239835344277064,"score_gpt":0.20339497774181997,"score_spread":0.19415514239754292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992753214","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":[0.9914912,0.0012831123,0.00065256073,0.000015403859,0.0014280957,0.0003843172,0.0000106439875,0.00063756254,0.0040970827],"genre_scores_gemma":[0.998873,0.00005425176,0.00010440222,0.000004359401,0.00033544467,0.000100389116,4.3435423e-7,0.000034943925,0.0004927725],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986704,0.000008263297,0.0004968245,0.0002161621,0.00031164696,0.0002966769],"domain_scores_gemma":[0.9994001,0.00003232998,0.000091275986,0.00013413577,0.00023895272,0.00010322067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020647924,0.0001970659,0.0004321618,0.000094186056,0.000097626675,0.00003554627,0.00016631794,0.0001309735,0.000007834818],"category_scores_gemma":[0.000079126694,0.00018708671,0.00011177391,0.0002036408,0.000058784193,0.00024771158,0.000011592891,0.00017533303,0.00003367627],"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":[0.00025095136,0.00019378404,0.43761194,0.0033308943,0.0005493866,0.000024592782,0.0060367347,0.114320904,0.42385358,0.00048864144,0.0070663434,0.006272242],"study_design_scores_gemma":[0.0026939816,0.00019084568,0.049085665,0.00035825119,0.000059389255,0.00018576159,0.0024266117,0.9072231,0.019254964,0.00003217028,0.017779982,0.00070925546],"about_ca_topic_score_codex":0.00016968804,"about_ca_topic_score_gemma":7.1520526e-7,"teacher_disagreement_score":0.79290223,"about_ca_system_score_codex":0.000093071234,"about_ca_system_score_gemma":0.000014682586,"threshold_uncertainty_score":0.7629175},"labels":[],"label_agreement":null},{"id":"W1992867883","doi":"10.3182/20020721-6-es-1901.00660","title":"STABILITY OF CONTINUOUS-TIME LINEAR SYSTEMS WITH MARKOVIAN JUMPING PARAMETERS AND CONSTRAINED CONTROL","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Mathematics; Stability (learning theory); Jumping; Markov process; Invariant (physics); LTI system theory; Work (physics); Mathematical optimization; Applied mathematics; Control (management); Linear system; Computer science; Mathematical analysis; Engineering","score_opus":0.009067647492827157,"score_gpt":0.16905992744919857,"score_spread":0.1599922799563714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992867883","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":[0.9910258,0.001660291,0.0010899393,0.000103028775,0.00012971152,0.00093669305,0.000058616082,0.00038206423,0.004613828],"genre_scores_gemma":[0.9989779,0.0000205037,0.0007084852,0.000020253072,0.00006343394,0.000075758035,0.0000015520209,0.000038884253,0.00009324958],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983851,0.000022031754,0.000549979,0.0003463445,0.00028517173,0.00041139557],"domain_scores_gemma":[0.99909073,0.0001941562,0.00014986271,0.00016447529,0.00024591226,0.00015487826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043245647,0.00029503813,0.00074122916,0.0000909945,0.00007333432,0.000095907926,0.00016026635,0.00014032543,0.000054106928],"category_scores_gemma":[0.0001406386,0.00026073068,0.00007849266,0.00017539019,0.0003263241,0.00029191482,0.000016319285,0.00017938451,0.000011123398],"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":[0.0011485657,0.0004943747,0.8079001,0.010993879,0.0033164083,0.000034707216,0.014260942,0.006354106,0.12732165,0.001645512,0.0023491248,0.024180666],"study_design_scores_gemma":[0.00388821,0.00053121004,0.0036341844,0.00051440834,0.00019628622,0.00007402802,0.00323983,0.9842632,0.001756594,0.000035529836,0.0011607544,0.00070576527],"about_ca_topic_score_codex":0.0000994107,"about_ca_topic_score_gemma":0.0000054379516,"teacher_disagreement_score":0.9779091,"about_ca_system_score_codex":0.0000657883,"about_ca_system_score_gemma":0.000012431743,"threshold_uncertainty_score":0.9999845},"labels":[],"label_agreement":null},{"id":"W1993890248","doi":"10.3182/20110828-6-it-1002.03272","title":"Practical issues in the application of the particle filter for estimation of chemical processes","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung","keywords":"Particle filter; Estimation; Particle (ecology); Computer science; Filter (signal processing); Engineering; Systems engineering; Computer vision","score_opus":0.03987312347844548,"score_gpt":0.29687198253822134,"score_spread":0.2569988590597759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993890248","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":[0.7630639,0.00010037372,0.23269662,0.0028509903,0.00009062064,0.0007068866,0.000006895084,0.0000652824,0.00041843273],"genre_scores_gemma":[0.9141366,0.000004785729,0.08567543,0.00006418201,0.000026740585,0.00007684746,0.0000012390009,0.0000038694543,0.000010322163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992481,0.000009474615,0.00024014403,0.00017467556,0.00019868887,0.00012890181],"domain_scores_gemma":[0.9992875,0.00014158823,0.00017573764,0.00018706039,0.00019241308,0.000015722087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003387397,0.00006606494,0.000101532496,0.000014683613,0.000039718918,0.000033405307,0.0005706655,0.000048142752,0.0000028662964],"category_scores_gemma":[0.0005220864,0.000039402566,0.00003135534,0.0003549459,0.00008735271,0.0003852393,0.000088967965,0.00007732703,0.0000017897644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027957192,0.0021023122,0.1343998,0.0017635371,0.000055448854,9.1478296e-7,0.06642921,0.00020618143,0.045533326,0.592933,0.034738775,0.121557936],"study_design_scores_gemma":[0.00037957536,0.00012111523,0.013503008,0.00011344444,0.000024950534,0.000016377207,0.00057753926,0.42000303,0.53780454,0.025203932,0.0020811073,0.00017135951],"about_ca_topic_score_codex":0.000030915064,"about_ca_topic_score_gemma":0.0000019227596,"teacher_disagreement_score":0.56772906,"about_ca_system_score_codex":0.000005821491,"about_ca_system_score_gemma":0.000027638238,"threshold_uncertainty_score":0.160679},"labels":[],"label_agreement":null},{"id":"W1993910494","doi":"10.3182/20050703-6-cz-1902.00932","title":"REJECTION OF UNMEASUREABLE EXTENDED CONSTANT DISTURBANCES USING MODEL PREDICTIVE CONTROL","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Constant (computer programming); Model predictive control; Control theory (sociology); Control (management); Computer science; Mathematics; Engineering; Artificial intelligence","score_opus":0.009034361930390897,"score_gpt":0.21253186009186792,"score_spread":0.20349749816147703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993910494","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":[0.1091593,0.0017244895,0.878439,0.000034434437,0.00020420393,0.0006606885,0.000048284415,0.0006217489,0.009107827],"genre_scores_gemma":[0.98340905,0.000046405406,0.016164934,0.00001123415,0.0001480041,0.00004938183,0.000002345467,0.000044432854,0.00012419157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880445,0.000005564758,0.00041013712,0.00023244778,0.00026528785,0.00028208882],"domain_scores_gemma":[0.99933314,0.000019588402,0.0001687386,0.00008982165,0.00032386612,0.000064857704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015688843,0.00020278647,0.00034542676,0.00011234368,0.00008231738,0.000034499055,0.000110716624,0.000107432854,0.000005349801],"category_scores_gemma":[0.00007653761,0.00020982872,0.0000643878,0.00021617413,0.00007068641,0.0008316928,0.000011909062,0.00012640536,0.0000026087541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061736086,0.000020804106,0.0013002448,0.000082729835,0.00007232628,1.73246e-7,0.0003080287,0.94536513,0.05048616,0.0007391445,0.0001178686,0.0014456741],"study_design_scores_gemma":[0.00087515445,0.000041141742,0.0001803897,0.00010665653,0.00006145006,0.00000858274,0.0002233484,0.9909651,0.0065925443,0.0006263534,0.00012123412,0.00019799326],"about_ca_topic_score_codex":0.000013442281,"about_ca_topic_score_gemma":0.0000055785413,"teacher_disagreement_score":0.87424976,"about_ca_system_score_codex":0.0002667944,"about_ca_system_score_gemma":0.000031643078,"threshold_uncertainty_score":0.85565674},"labels":[],"label_agreement":null},{"id":"W1993921485","doi":"10.3182/20060517-3-fr-2903.00118","title":"OPERATIONAL VEHICLE ROUTING WITHIN HYDRO-QUÉBEC'S REVERSE LOGISTICS NETWORK","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Truck; Reverse logistics; Hazardous waste; Routing (electronic design automation); Vehicle routing problem; Operations research; Transport engineering; Residual; Engineering; Operational planning; Computer science; Supply chain; Business; Computer network; Automotive engineering; Waste management","score_opus":0.03811997312072473,"score_gpt":0.298736617877908,"score_spread":0.26061664475718327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993921485","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":[0.91188663,0.0007800578,0.016619867,0.013696325,0.00076553004,0.00036737075,0.000028103637,0.00034659277,0.055509537],"genre_scores_gemma":[0.9720373,0.000019553348,0.008775736,0.00052207767,0.000925095,0.000010257033,0.00000835423,0.000018811677,0.01768282],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964823,0.000035004607,0.0009836605,0.0006488483,0.00139001,0.00046018488],"domain_scores_gemma":[0.9981433,0.00033934557,0.0004352735,0.00023132062,0.00072859786,0.00012212116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025356046,0.00022258291,0.000397271,0.00014567863,0.00075105776,0.0007039497,0.0007023147,0.00013587269,0.00041297838],"category_scores_gemma":[0.0022028252,0.00017805904,0.00019454485,0.0012239307,0.000206084,0.000692512,0.00017849501,0.00024959116,0.00068068714],"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":[0.000053459484,0.00008728589,0.6089458,0.00000631169,0.00005065211,0.000012523867,0.0008884754,0.06412726,0.0007483301,0.037292555,0.27963993,0.008147444],"study_design_scores_gemma":[0.00068030343,0.0001073646,0.06371257,0.000053226806,0.00012411305,0.000028695284,0.0022020857,0.66034144,0.00071889925,0.15881352,0.11243514,0.0007826621],"about_ca_topic_score_codex":0.0046608443,"about_ca_topic_score_gemma":0.0020714635,"teacher_disagreement_score":0.5962142,"about_ca_system_score_codex":0.000102060076,"about_ca_system_score_gemma":0.00018305484,"threshold_uncertainty_score":0.87490827},"labels":[],"label_agreement":null},{"id":"W1994063416","doi":"10.3182/20131218-3-in-2045.00158","title":"Alarm allocation for event-based process alarm systems","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"ALARM; Event (particle physics); Key (lock); Flexibility (engineering); Variable (mathematics); Process (computing); Variables; Data mining; Computer science; Statistics; Mathematics; Engineering; Computer security","score_opus":0.006644399886862077,"score_gpt":0.21821105225590479,"score_spread":0.2115666523690427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994063416","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":[0.94843316,0.0014051863,0.034816567,0.000615859,0.0025075807,0.004693482,0.00002619002,0.0028242532,0.0046777343],"genre_scores_gemma":[0.9954703,0.0000054813963,0.00014252591,0.00006319304,0.0003315182,0.002824701,0.000011620755,0.00006803597,0.0010826441],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873936,0.0000043849454,0.00037240094,0.00026495435,0.00024242555,0.0003764636],"domain_scores_gemma":[0.99925274,0.000024272422,0.00008887169,0.00010049748,0.0004085609,0.00012505679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017953804,0.00023112023,0.0002617956,0.00012784977,0.00011632801,0.00029325124,0.00018899127,0.00015083134,0.000030189685],"category_scores_gemma":[0.00006280863,0.00022693299,0.00009414235,0.00021800742,0.000021054264,0.00044512886,0.0000068653712,0.00011461348,0.00017419737],"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":[0.00022227968,0.0005335911,0.022285542,0.021088276,0.0011875634,0.000003025264,0.0050966623,0.20336477,0.47034183,0.004639484,0.19464175,0.07659521],"study_design_scores_gemma":[0.0007829827,0.000080658305,0.00041488855,0.00011798097,0.000025729481,0.0000066498264,0.0009784793,0.96769583,0.009760059,0.000089361834,0.0197308,0.00031658643],"about_ca_topic_score_codex":0.00008548787,"about_ca_topic_score_gemma":0.0000054020998,"teacher_disagreement_score":0.76433104,"about_ca_system_score_codex":0.00010594619,"about_ca_system_score_gemma":0.000026727042,"threshold_uncertainty_score":0.92540586},"labels":[],"label_agreement":null},{"id":"W1999091278","doi":"10.3182/20070606-3-mx-2915.00020","title":"MULTI-UNIT OPTIMIZATION WITH GRADIENT PROJECTION ON ACTIVE CONSTRAINTS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Proximal Gradient Methods; Control theory (sociology); Gradient method; Context (archaeology); Projection (relational algebra); Simple (philosophy); Mathematical optimization; Computer science; Term (time); Gradient descent; Mathematics; Control (management); Algorithm; Physics; Artificial intelligence","score_opus":0.0128205574993901,"score_gpt":0.22085451120033325,"score_spread":0.20803395370094316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999091278","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":[0.6082952,0.00006990884,0.34948537,0.000054589593,0.00073185394,0.0014627841,0.000012877513,0.0020028662,0.03788451],"genre_scores_gemma":[0.9885589,0.0000060112425,0.010873555,0.000021115073,0.00015471352,0.000044421402,0.0000065323384,0.00006126712,0.00027349117],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998867,0.0000041256635,0.00023247632,0.00026650398,0.00025466486,0.00037526275],"domain_scores_gemma":[0.9995201,0.000030070001,0.00008756294,0.000079999045,0.00018759121,0.00009468265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023180814,0.00022801144,0.00019682443,0.00023762883,0.00010588746,0.00008101564,0.00010559855,0.00011470292,0.000016740898],"category_scores_gemma":[0.000054172837,0.00020846787,0.00003729657,0.00032042497,0.000074125346,0.0003013771,0.000010423367,0.0002151124,0.000027766597],"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":[0.0016376026,0.0010228355,0.12441296,0.0015548151,0.0015324574,0.000095395655,0.028891696,0.2479753,0.3483516,0.0033444648,0.0026176546,0.2385632],"study_design_scores_gemma":[0.0018231742,0.00035228566,0.0138916,0.00033037356,0.00004614673,0.00007536035,0.002175699,0.97198176,0.007467264,0.000012453223,0.0012869026,0.00055695197],"about_ca_topic_score_codex":0.000029305978,"about_ca_topic_score_gemma":0.000036146055,"teacher_disagreement_score":0.7240065,"about_ca_system_score_codex":0.00020833153,"about_ca_system_score_gemma":0.000015416546,"threshold_uncertainty_score":0.8501073},"labels":[],"label_agreement":null},{"id":"W2000965014","doi":"10.3182/20090916-3-es-3003.00028","title":"Computing reachable sets for uncertain nonlinear hybrid systems using interval constraint propagation techniques","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Numerical Methods and Algorithms","field":"Computer Science","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":"McMaster University","funders":"","keywords":"Local consistency; Intersection (aeronautics); Interval (graph theory); Nonlinear system; Constraint satisfaction problem; Interval arithmetic; Constraint satisfaction; Hybrid system; Mathematical optimization; Set (abstract data type); Mathematics; Constraint (computer-aided design); Consistency (knowledge bases); Computer science; Algorithm; Artificial intelligence; Engineering; Discrete mathematics","score_opus":0.039207515881425646,"score_gpt":0.32688308606519373,"score_spread":0.2876755701837681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000965014","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":[0.04165855,0.000108783555,0.9556547,0.00050717563,0.00029901715,0.0008051405,0.000008383743,0.00057713507,0.00038112293],"genre_scores_gemma":[0.27001628,0.000003289522,0.72951096,0.00015524021,0.00024125524,0.000016625801,0.0000029254522,0.000012750704,0.000040682386],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822885,0.000024514593,0.0004506045,0.000550241,0.00027470704,0.0004711088],"domain_scores_gemma":[0.99895513,0.0000699356,0.0002935247,0.00014726091,0.0004142535,0.00011987333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009411243,0.00023104138,0.00035995847,0.00012689727,0.00025904735,0.0005422347,0.00053925987,0.00007304428,8.840134e-7],"category_scores_gemma":[0.00019896738,0.0002077968,0.00010205288,0.00031939856,0.00007031562,0.00065309077,0.000116618314,0.00017610933,0.0000022241145],"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":[0.000013842738,0.00011219531,0.00029235342,0.00017800929,0.000022487886,0.0000071501254,0.00048239782,0.00008025914,0.025261149,0.01494386,0.00047563872,0.95813066],"study_design_scores_gemma":[0.00018133114,0.000385744,0.000033237528,0.00027844706,0.000010746269,0.00016763777,0.00014993317,0.9682236,0.022742895,0.005351083,0.0021828648,0.00029253587],"about_ca_topic_score_codex":0.000053830267,"about_ca_topic_score_gemma":9.939573e-8,"teacher_disagreement_score":0.9681433,"about_ca_system_score_codex":0.00012717038,"about_ca_system_score_gemma":0.00007390073,"threshold_uncertainty_score":0.84737074},"labels":[],"label_agreement":null},{"id":"W2001356451","doi":"10.3182/20080706-5-kr-1001.00552","title":"Parametric Approximation of Piecewise Quadratic Value Functions for the Control of Complex Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Bellman equation; Piecewise; Curse of dimensionality; Quadratic equation; Mathematical optimization; Parametric statistics; Dynamic programming; Nonlinear system; Function (biology); Function approximation; Optimal control; Mathematics; Dimension (graph theory); Parametric programming; Quadratic programming; Computer science; Control theory (sociology); Control (management); Artificial neural network; Artificial intelligence","score_opus":0.01903948577492344,"score_gpt":0.213529087153534,"score_spread":0.19448960137861054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001356451","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":[0.045525692,0.0015977317,0.9500688,0.00003705246,0.000300387,0.0017192807,0.00004931065,0.00019166313,0.0005101015],"genre_scores_gemma":[0.99541515,0.000041904277,0.0038390646,0.0000062282065,0.00009172968,0.00042833085,0.000009452585,0.000034769044,0.00013338684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888563,0.000008235534,0.00054939423,0.00014058135,0.00022520321,0.00019096161],"domain_scores_gemma":[0.998871,0.00026407876,0.0002711623,0.00012710881,0.00043073166,0.000035907113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020644942,0.00015123245,0.00037720302,0.00016905651,0.00012449165,0.000019549328,0.00015370992,0.0000750132,0.0000032440028],"category_scores_gemma":[0.00029282324,0.00012422666,0.00009376253,0.0004923524,0.0000788417,0.0002680701,0.000008483152,0.000070974995,0.0000031489128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003947521,0.000037422822,0.0028752026,0.00089228153,0.00018695765,8.653327e-8,0.00047380343,0.97540015,0.013805149,0.0042791087,0.0011245122,0.0008858686],"study_design_scores_gemma":[0.0009049344,0.00007452776,0.0015573689,0.000050896695,0.000087764936,0.000010440092,0.00044793813,0.99550235,0.0005469796,0.000092029586,0.0006074247,0.00011735771],"about_ca_topic_score_codex":0.000029494606,"about_ca_topic_score_gemma":7.306422e-7,"teacher_disagreement_score":0.9498894,"about_ca_system_score_codex":0.00006288184,"about_ca_system_score_gemma":0.000018404453,"threshold_uncertainty_score":0.5065816},"labels":[],"label_agreement":null},{"id":"W2001674728","doi":"10.3182/20120829-3-it-4022.00024","title":"On the Quasi-Linearization of the Equations of Motion of Simple Mechanical Systems","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Stability of Dynamical 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 Waterloo","funders":"","keywords":"Simple (philosophy); Linearization; Mechanical system; Equations of motion; Motion (physics); Control theory (sociology); Mathematics; Classical mechanics; Nonlinear system; Control engineering; Calculus (dental); Computer science; Physics; Engineering; Mechanical engineering; Artificial intelligence; Control (management); Philosophy","score_opus":0.01273648346978132,"score_gpt":0.20328741354568722,"score_spread":0.1905509300759059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001674728","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":[0.97191757,0.00012458589,0.026452573,0.0001265933,0.00025727975,0.00041633987,0.000029306182,0.000042733373,0.0006330248],"genre_scores_gemma":[0.99985206,0.0000021204917,0.000030735013,0.000003048738,0.000054260094,0.000018946892,0.000002334755,0.000009543567,0.00002697741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917865,0.00001674481,0.00036223244,0.00006485169,0.0002507836,0.000126725],"domain_scores_gemma":[0.9994099,0.0001703324,0.00013521944,0.00011052381,0.00014699309,0.000027030748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041970026,0.00007701527,0.00019060145,0.000028275297,0.000040017778,0.000009092064,0.00014750588,0.00006588054,0.000011934801],"category_scores_gemma":[0.00048408518,0.000046651894,0.00008326631,0.00018109525,0.000043915967,0.0000954305,0.00002331654,0.00007976748,0.0000020305088],"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":[0.000037668364,0.00045911592,0.04028612,0.0017605256,0.00018607565,1.3829065e-8,0.003440832,0.01400226,0.20599003,0.7281548,0.00039798478,0.0052846163],"study_design_scores_gemma":[0.00018755083,0.00007174568,0.0103846835,0.000110005516,0.00003843376,5.8325753e-7,0.0006212356,0.97866005,0.007586968,0.002117409,0.00013666057,0.000084669424],"about_ca_topic_score_codex":0.00009937166,"about_ca_topic_score_gemma":0.000008809452,"teacher_disagreement_score":0.9646578,"about_ca_system_score_codex":0.000029379598,"about_ca_system_score_gemma":0.0000061836818,"threshold_uncertainty_score":0.1902409},"labels":[],"label_agreement":null},{"id":"W2002198717","doi":"10.3182/20110828-6-it-1002.03708","title":"Intrinsic Quadratic Differentials of the Endpoint Maps of Nonlinear Systems With Lp Controls","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Dynamics of Mobile Robots","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":"Queen's University","funders":"","keywords":"Nonlinear system; Quadratic equation; Control theory (sociology); Mathematics; Control (management); Point (geometry); Computer science; Physics; Artificial intelligence; Geometry","score_opus":0.008227793521917964,"score_gpt":0.16817520653509746,"score_spread":0.1599474130131795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002198717","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":[0.9941173,0.00069811044,0.0012490837,0.000023223758,0.00030992104,0.0006817135,0.00006120579,0.00012802742,0.0027314106],"genre_scores_gemma":[0.9990727,0.00002991274,0.0006050563,0.000005437732,0.0000641984,0.000056307068,0.0000025591225,0.000033966793,0.0001298708],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988968,0.000007564895,0.00045098452,0.00015740728,0.00024985848,0.00023742774],"domain_scores_gemma":[0.9993142,0.000035087236,0.00019751057,0.00017672815,0.0002184489,0.000058020996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013922354,0.0002002771,0.0004891709,0.00007925567,0.000034549972,0.000025334239,0.0002992211,0.00008144507,0.000018911613],"category_scores_gemma":[0.000049446564,0.00012985848,0.000107314874,0.00015308487,0.00010370858,0.00013300973,0.000055288172,0.00013797544,0.000004223006],"study_design_candidate":"observational","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":[0.0021998216,0.0018812229,0.47391978,0.017945727,0.0051376726,0.000022321889,0.02197868,0.01983403,0.34624666,0.06856457,0.0030290475,0.039240453],"study_design_scores_gemma":[0.009514065,0.0016152264,0.23155585,0.0029357683,0.0012039123,0.0000945144,0.0038808289,0.6694882,0.072640374,0.0034536934,0.0015857612,0.0020318017],"about_ca_topic_score_codex":0.00011377146,"about_ca_topic_score_gemma":0.000030556777,"teacher_disagreement_score":0.64965415,"about_ca_system_score_codex":0.000027494187,"about_ca_system_score_gemma":0.000023099896,"threshold_uncertainty_score":0.5295476},"labels":[],"label_agreement":null},{"id":"W2003975229","doi":"10.3182/20091014-3-cl-4011.00027","title":"Design of Mass Flowrate Estimators for n-product Plants","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","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":"Université Laval","funders":"","keywords":"Estimator; Product (mathematics); Process engineering; Volumetric flow rate; Mass flow; Mathematics; Environmental science; Engineering; Computer science; Statistics; Mechanics; Physics","score_opus":0.018753374828616633,"score_gpt":0.23309111820640568,"score_spread":0.21433774337778905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003975229","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":[0.8973176,0.0013594162,0.096413605,0.00014562815,0.00045112817,0.00056422624,0.00001880133,0.0008656196,0.0028639678],"genre_scores_gemma":[0.94875497,0.000028284348,0.050637703,0.000017269549,0.0001475798,0.000019247029,0.0000033554386,0.000030631414,0.00036096887],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990735,0.0000017193964,0.00025257177,0.00021159419,0.00013604913,0.000324572],"domain_scores_gemma":[0.99969304,0.000022325728,0.00006106445,0.00006840781,0.00008803211,0.00006714291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020373073,0.00018446456,0.00024704725,0.00011749004,0.00007475802,0.00005736371,0.0001673339,0.00006647425,0.00000754149],"category_scores_gemma":[0.00007831253,0.00017868825,0.000045077275,0.00015180722,0.000022596947,0.0002583936,0.00000683766,0.000097335665,0.00000872073],"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":[0.00010479742,0.00004941537,0.0018232275,0.0010329759,0.00008829809,0.0000028518725,0.001488915,0.058458697,0.8479085,0.00052527554,0.027182683,0.06133438],"study_design_scores_gemma":[0.0005984435,0.00021434714,0.00073362305,0.00028362783,0.00003991423,0.00001689585,0.00013953572,0.6778962,0.31246448,0.0055836826,0.0015086747,0.00052060484],"about_ca_topic_score_codex":0.0000016583106,"about_ca_topic_score_gemma":8.320286e-8,"teacher_disagreement_score":0.61943746,"about_ca_system_score_codex":0.000028288907,"about_ca_system_score_gemma":0.000014963737,"threshold_uncertainty_score":0.7286696},"labels":[],"label_agreement":null},{"id":"W2003985678","doi":"10.3182/20090916-3-es-3003.00054","title":"Geometrical Properties of Optimal Hybrid System Trajectories and the Optimization of Switching Manifolds","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"McGill University","funders":"","keywords":"Mathematics; Manifold (fluid mechanics); Euclidean space; Optimal control; Function (biology); Sensitivity (control systems); Displacement (psychology); Control theory (sociology); Bellman equation; Mathematical analysis; Topology (electrical circuits); Mathematical optimization; Computer science; Control (management); Engineering; Combinatorics","score_opus":0.005119124921991428,"score_gpt":0.17344289393671927,"score_spread":0.16832376901472784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003985678","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":[0.73384213,0.0035575859,0.26031944,0.00006757225,0.00014635785,0.0006638283,0.0000046714094,0.00035156528,0.001046833],"genre_scores_gemma":[0.99093896,0.00008434069,0.008836571,0.0000042322154,0.00006634985,0.000023022034,0.0000011069588,0.000023701683,0.000021714868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895895,0.000009011109,0.00046376084,0.00015390442,0.00023382944,0.00018052354],"domain_scores_gemma":[0.9994587,0.000029173572,0.0001725232,0.00008324852,0.00022013515,0.000036232977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024501557,0.00016601746,0.00039587286,0.00016848983,0.00006919991,0.000049777143,0.00014145173,0.000058667167,0.0000011558965],"category_scores_gemma":[0.00013633716,0.000121296725,0.00005349853,0.0003401893,0.00006584746,0.00042469247,0.00002029088,0.000094863906,3.5632854e-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":[0.00016352409,0.000018256966,0.0006578441,0.0008652385,0.00008051167,6.12912e-7,0.001786947,0.9714049,0.016098086,0.0055842362,0.000025935384,0.003313903],"study_design_scores_gemma":[0.0009389814,0.00007184135,0.00030990233,0.00023945165,0.000051898034,0.000028513547,0.0010335221,0.98058546,0.016545422,0.000037337926,0.000012295315,0.00014538555],"about_ca_topic_score_codex":0.000016761023,"about_ca_topic_score_gemma":2.4897162e-7,"teacher_disagreement_score":0.2570968,"about_ca_system_score_codex":0.00005508812,"about_ca_system_score_gemma":0.0000096459835,"threshold_uncertainty_score":0.4946337},"labels":[],"label_agreement":null},{"id":"W2004005354","doi":"10.3182/20090603-3-ru-2001.0546","title":"Supply Management Under the Limitation on Production Rates","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"Production (economics); Production manager; Business; Industrial organization; Operations management; Engineering; Economics; Microeconomics","score_opus":0.020587611583366285,"score_gpt":0.2306859620253709,"score_spread":0.21009835044200462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004005354","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":[0.6982401,0.00013188891,0.000103016595,0.05908716,0.0011387488,0.001509723,7.212543e-7,0.0006232748,0.23916535],"genre_scores_gemma":[0.97739047,0.000045401266,0.00015127778,0.011073268,0.0014746673,0.00008188469,0.000021154454,0.000024750521,0.009737143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850816,0.000003718507,0.0002517652,0.00044083534,0.00044359113,0.00035193842],"domain_scores_gemma":[0.9994524,0.000010829958,0.00018034145,0.00018008583,0.0001629386,0.000013386319],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042932792,0.00023883505,0.00014114643,0.0002881247,0.00041556385,0.00063613744,0.00033395708,0.00004746203,0.00012831377],"category_scores_gemma":[0.000047595306,0.00017746314,0.00008240291,0.00057436305,0.000058505197,0.0012228637,0.00008340331,0.0001375514,0.0008556924],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008270094,0.00027320997,0.0072772675,0.0001832057,0.00007675119,0.0000029909813,0.00023193695,0.0002654068,0.00045995635,0.5335044,0.4175879,0.04005425],"study_design_scores_gemma":[0.000989881,0.00013433727,0.29370064,0.0002465309,0.00021383847,0.0000031608367,0.009620071,0.005493222,0.0009433924,0.081673525,0.60618514,0.0007962384],"about_ca_topic_score_codex":0.000019497547,"about_ca_topic_score_gemma":0.0000044542394,"teacher_disagreement_score":0.4518309,"about_ca_system_score_codex":0.00007021183,"about_ca_system_score_gemma":0.0000040989007,"threshold_uncertainty_score":0.9999223},"labels":[],"label_agreement":null},{"id":"W2004042221","doi":"10.3182/20100901-3-it-2016.00107","title":"Virtual Holonomic Constraints for Euler-Lagrange Systems","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holonomic constraints; Mathematics; Manifold (fluid mechanics); Constraint (computer-aided design); Linearization; Scalar (mathematics); Control theory (sociology); Invariant manifold; Invariant (physics); Topology (electrical circuits); Mathematical analysis; Computer science; Nonlinear system; Classical mechanics; Physics; Engineering; Control (management)","score_opus":0.005631348479342243,"score_gpt":0.19476568755224483,"score_spread":0.18913433907290259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004042221","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":[0.9861197,0.00026431633,0.004307755,0.00008356427,0.002814126,0.000656557,0.00008470225,0.00073118537,0.0049381116],"genre_scores_gemma":[0.9977794,0.000018573128,0.00097617606,0.000017707938,0.0005220324,0.00023553974,0.000010215926,0.00005564641,0.00038467243],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990066,0.0000012288509,0.00025058803,0.0002422546,0.00010891568,0.0003903818],"domain_scores_gemma":[0.9995361,0.000068107096,0.0000497271,0.00010168619,0.00011403672,0.00013034703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001813727,0.00021254818,0.0002698245,0.00009362303,0.000088669025,0.00016021226,0.00023379645,0.00017437585,0.00002750057],"category_scores_gemma":[0.00008597533,0.00021941477,0.00010351659,0.00006938743,0.000101524274,0.00024556858,0.00002776415,0.00024332918,0.000070774804],"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":[0.0001769101,0.0001935391,0.016020028,0.0013872084,0.00061413634,0.0000098644505,0.0018557102,0.011199541,0.54235697,0.09419388,0.036081273,0.29591092],"study_design_scores_gemma":[0.0023942026,0.00020513592,0.0057611666,0.00008696114,0.00008554745,0.00007847581,0.00058796525,0.944259,0.0010113403,0.00061419857,0.043984044,0.00093199464],"about_ca_topic_score_codex":0.000014172669,"about_ca_topic_score_gemma":0.000017847746,"teacher_disagreement_score":0.93305945,"about_ca_system_score_codex":0.000035281497,"about_ca_system_score_gemma":0.00001876483,"threshold_uncertainty_score":0.89474744},"labels":[],"label_agreement":null},{"id":"W2004312358","doi":"10.3182/20140824-6-za-1003.01337","title":"Safety, constraints and anti-windup in closed-loop anesthesia","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Anesthesia and Sedative Agents","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Closed loop; Variety (cybernetics); Propofol; Mode (computer interface); Computer science; Loop (graph theory); Control (management); Control engineering; Engineering; Anesthesia; Mathematics; Medicine; Artificial intelligence","score_opus":0.012722902949854701,"score_gpt":0.2476380810320744,"score_spread":0.2349151780822197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004312358","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":[0.9876738,0.000106629705,0.000047787908,0.0025441695,0.000027015105,0.00035349387,8.6649726e-7,0.00007989675,0.009166322],"genre_scores_gemma":[0.9959221,0.000079696954,0.00085345976,0.0012574419,0.00009770945,0.000012182301,0.00000777185,0.000028915341,0.0017407435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986837,0.000015129935,0.0003024732,0.00039139242,0.00024977117,0.00035752723],"domain_scores_gemma":[0.999466,0.000045152025,0.00009404533,0.00009724304,0.000115240015,0.00018229103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037654472,0.0002154485,0.0004507318,0.00016419316,0.00008269203,0.000043927033,0.000099407356,0.00015147717,0.00013123234],"category_scores_gemma":[0.00018476002,0.00019015888,0.000052117837,0.00021594256,0.00032429583,0.00019850003,0.000031299165,0.0002203361,0.00007568848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008951309,0.00010241373,0.956962,0.00012478913,0.000023988418,0.00007316867,0.0008211275,1.3975485e-7,0.004211865,0.002600841,0.001129879,0.03386029],"study_design_scores_gemma":[0.002239456,0.00028169274,0.9653497,0.00025523154,0.00005503791,0.00084185466,0.00079349166,0.0006372566,0.0017238301,0.00037513927,0.027171383,0.00027593417],"about_ca_topic_score_codex":0.000028926626,"about_ca_topic_score_gemma":0.000002190927,"teacher_disagreement_score":0.033584353,"about_ca_system_score_codex":0.000037743466,"about_ca_system_score_gemma":0.0000431515,"threshold_uncertainty_score":0.7754454},"labels":[],"label_agreement":null},{"id":"W2004389205","doi":"10.3182/20140824-6-za-1003.02714","title":"A Prototype GUI for Unmanned Air Vehicle Mission Planning and Execution","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Air Traffic Management and 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; Alberta Environment and Protected Areas","funders":"","keywords":"Mode (computer interface); Graphical user interface; Software; Key (lock); Trajectory; Flight planning; Interface (matter); Computer science; Flight plan; Real-time computing; Plan (archaeology); Operator (biology); Simulation; Engineering; Operating system; Aerospace engineering","score_opus":0.00878972094207818,"score_gpt":0.21555927257642846,"score_spread":0.2067695516343503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004389205","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":[0.88461095,0.00030154438,0.098398544,0.00045085044,0.0002419287,0.0017266609,0.0000026010352,0.0013789405,0.012887983],"genre_scores_gemma":[0.9919932,0.000012153085,0.0072355038,0.000041373474,0.00012114629,0.00008204611,0.000011518206,0.000028050554,0.00047504628],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944615,0.0000016981566,0.0001265671,0.00016054617,0.000083875995,0.00018113427],"domain_scores_gemma":[0.99981505,0.000012321659,0.000030987663,0.00003895972,0.000053719807,0.000048991835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013201716,0.00011335644,0.00010461599,0.00007174587,0.000106969725,0.000051917683,0.00006382244,0.00006700573,0.000006190941],"category_scores_gemma":[0.000046755373,0.00011318775,0.000021860373,0.00009404219,0.000016314527,0.00024267526,0.000019755344,0.000051760755,0.0000046303103],"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":[0.0009913308,0.00022208522,0.08427861,0.009693781,0.00035506382,0.0000025123188,0.014652306,0.273362,0.03370983,0.030438188,0.19423392,0.35806036],"study_design_scores_gemma":[0.00046743138,0.00013454452,0.0028994058,0.0000952888,0.000019234736,7.2872564e-7,0.00016946015,0.96150947,0.0017382342,0.00047479724,0.032318812,0.00017260188],"about_ca_topic_score_codex":0.0000014067846,"about_ca_topic_score_gemma":3.2229116e-7,"teacher_disagreement_score":0.6881475,"about_ca_system_score_codex":0.000019332874,"about_ca_system_score_gemma":0.000002472941,"threshold_uncertainty_score":0.46156624},"labels":[],"label_agreement":null},{"id":"W2005151476","doi":"10.3182/20070613-3-fr-4909.00019","title":"PROBABILISTIC FAULT DIAGNOSIS IN DISCRETE EVENT SYSTEMS WITH INCOMPLETE MODELS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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 Toronto","funders":"","keywords":"Probabilistic logic; Probabilistic relevance model; Computer science; Fault (geology); Inference; Event (particle physics); Scheme (mathematics); Tabu search; Process (computing); Artificial intelligence; Machine learning; Probabilistic analysis of algorithms; Mathematics","score_opus":0.009690491322591192,"score_gpt":0.21447395638508557,"score_spread":0.20478346506249437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005151476","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":[0.9800958,0.00083315955,0.00823252,0.000063550666,0.00046944138,0.0011247718,0.000012493254,0.0007736901,0.008394583],"genre_scores_gemma":[0.9987872,0.000025243622,0.00015376614,0.000016094054,0.00014839305,0.00049622875,0.000002543395,0.00006111559,0.00030940908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830115,0.00000689611,0.00049893383,0.00031661335,0.00035097587,0.0005254261],"domain_scores_gemma":[0.9995048,0.00004636572,0.00007659508,0.000120469114,0.00010446715,0.00014729128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042126654,0.00027568807,0.00037083463,0.00022620037,0.000068661335,0.00014010111,0.00018827453,0.00012112873,0.0000070926435],"category_scores_gemma":[0.000036091533,0.00023633352,0.00005855352,0.00044280943,0.000042715874,0.00039401476,0.000024877834,0.0002337828,0.000027666385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036832187,0.00021491077,0.095482364,0.00355616,0.00038120206,0.000086413565,0.005579281,0.8597753,0.0040019127,0.01169111,0.0028849626,0.015978057],"study_design_scores_gemma":[0.0008961455,0.00013548555,0.0040491475,0.00044934457,0.000023217466,0.00004720833,0.001340792,0.98647434,0.0003186437,0.00035775287,0.0054344144,0.0004735409],"about_ca_topic_score_codex":0.000426651,"about_ca_topic_score_gemma":0.00032213653,"teacher_disagreement_score":0.126699,"about_ca_system_score_codex":0.000273012,"about_ca_system_score_gemma":0.000013574312,"threshold_uncertainty_score":0.9637401},"labels":[],"label_agreement":null},{"id":"W2006915594","doi":"10.3182/20090616-3-il-2002.00001","title":"An MPC-Based Approach to Robust Control of a Hypothalamic-Pituitary-Adrenal Axis Model","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Spaceflight effects on biology","field":"Medicine","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":"","keywords":"Model predictive control; Control theory (sociology); Hypothalamic–pituitary–adrenal axis; Computer science; Control (management); Medicine; Artificial intelligence; Endocrinology","score_opus":0.01675062497140952,"score_gpt":0.25433357399587797,"score_spread":0.23758294902446844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006915594","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":[0.94498706,0.0001764647,0.044816505,0.0020324213,0.000053641044,0.0013650361,0.0000321331,0.00027735386,0.00625938],"genre_scores_gemma":[0.94656265,0.0000029573905,0.05035311,0.002502318,0.00018127858,0.00007384251,0.000026499152,0.000042275366,0.00025506562],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978249,0.000017777598,0.00045920894,0.0006804958,0.00041152886,0.0006060707],"domain_scores_gemma":[0.99859685,0.000039845218,0.00018520353,0.00031084928,0.00046107444,0.0004061535],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004221359,0.00036434317,0.00081962487,0.00038236976,0.00007332764,0.000030529027,0.00031712532,0.00028576207,0.000025595],"category_scores_gemma":[0.00028348007,0.00031239985,0.00018049228,0.00041406616,0.00013188308,0.00019871851,0.000022098455,0.00028733438,0.000021985315],"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":[0.003356406,0.0031951729,0.057279434,0.0005083239,0.00024235362,0.00001918084,0.0015285581,0.0127608,0.89753616,0.003948653,0.006639099,0.012985837],"study_design_scores_gemma":[0.0056901895,0.004948273,0.034933183,0.00015790114,0.00025005513,0.000101949816,0.00021896017,0.89853203,0.05394602,0.0004540567,0.00022844027,0.0005389426],"about_ca_topic_score_codex":0.00004285893,"about_ca_topic_score_gemma":0.000002434552,"teacher_disagreement_score":0.8857712,"about_ca_system_score_codex":0.00010921141,"about_ca_system_score_gemma":0.00016007006,"threshold_uncertainty_score":0.9999328},"labels":[],"label_agreement":null},{"id":"W2007984622","doi":"10.3182/20060829-4-cn-2909.00027","title":"MODELLING OF RATE GYROSCOPES WITH CONSIDERATION OF FAULTS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Gyroscope; Parametric statistics; Control theory (sociology); Fault (geology); Degradation (telecommunications); Engineering; Fault tolerance; Control engineering; Computer science; Reliability engineering; Control (management); Electronic engineering; Mathematics; Artificial intelligence; Aerospace engineering; Statistics","score_opus":0.008173109260603972,"score_gpt":0.1820344700063536,"score_spread":0.17386136074574962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007984622","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":[0.97823006,0.00024049873,0.013563536,0.000015615342,0.00008320129,0.0001638267,0.0000051191414,0.00015943455,0.0075387047],"genre_scores_gemma":[0.9983568,0.0000087624185,0.0012698565,0.000003888067,0.00005066361,0.000016308717,0.0000015891349,0.000019363897,0.00027277076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999369,0.000002938567,0.000277738,0.000104734456,0.00012453976,0.00012101278],"domain_scores_gemma":[0.99967265,0.000014399495,0.000088049856,0.00004548311,0.00015824812,0.000021157575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090692694,0.00010506184,0.00020764454,0.0000775704,0.000029104742,0.000019990266,0.000047300808,0.000053124237,0.000007343986],"category_scores_gemma":[0.000008284266,0.00009323322,0.000031765932,0.00013490551,0.000034442255,0.00017779008,0.0000045081247,0.00005651565,0.000003596042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006522402,0.00002836436,0.005680727,0.00051134074,0.0000643911,7.5498156e-7,0.0004924659,0.7350605,0.25493628,0.0016634979,0.000738636,0.00075781025],"study_design_scores_gemma":[0.00044858045,0.00006165917,0.00033971065,0.0000974408,0.000015936657,0.000004917543,0.00021109446,0.81968725,0.17821917,0.00023576184,0.0005646701,0.00011378337],"about_ca_topic_score_codex":0.00022506595,"about_ca_topic_score_gemma":0.00002284998,"teacher_disagreement_score":0.08462675,"about_ca_system_score_codex":0.000016853211,"about_ca_system_score_gemma":0.000010115337,"threshold_uncertainty_score":0.38019404},"labels":[],"label_agreement":null},{"id":"W2009481149","doi":"10.3182/20070604-3-mx-2914.00009","title":"FEATURE SELECTION AND CLASSIFICATION OF METABOLOMIC DATA USING SUPPORT VECTOR MACHINES","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Feature selection; Computer science; Support vector machine; Data mining; Machine learning; Terminology; Artificial intelligence; Exploratory data analysis; Selection (genetic algorithm); Task (project management); Feature (linguistics); Biological data; Bioinformatics; Engineering","score_opus":0.02743268028186584,"score_gpt":0.2956803894032233,"score_spread":0.2682477091213574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009481149","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":[0.9958613,0.0021552774,0.0010413327,0.00019681852,0.00011433041,0.00013677748,0.00004034152,0.000014252492,0.00043955943],"genre_scores_gemma":[0.98816925,0.0005420269,0.010539496,0.00003050936,0.00024086364,0.0000024885123,0.000086199565,0.000017657183,0.00037148848],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991165,0.0000050176554,0.00017572407,0.00038893425,0.00011319144,0.00020065777],"domain_scores_gemma":[0.9994614,0.000006396,0.00017752715,0.00014494461,0.00016064245,0.000049064878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043959724,0.00013989439,0.00019805825,0.000092666734,0.000079301964,0.00002274105,0.00017592113,0.00012182681,0.000006953505],"category_scores_gemma":[0.00015763815,0.00012847743,0.000032707252,0.00017520253,0.00006869687,0.000018256713,0.00019358627,0.000082501676,7.9565285e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006409994,0.000022287399,0.045039203,0.000038847793,0.00007980375,1.2980719e-7,0.000039200404,2.7237135e-7,0.94887865,0.00043477167,0.0017901746,0.003612584],"study_design_scores_gemma":[0.00061543327,0.0002843341,0.43063247,0.0000145010345,0.00021243628,0.000069256566,0.00041007297,0.0029596817,0.51489955,0.00014927637,0.049369127,0.00038385417],"about_ca_topic_score_codex":0.000019172447,"about_ca_topic_score_gemma":0.000039204693,"teacher_disagreement_score":0.4339791,"about_ca_system_score_codex":0.000010241882,"about_ca_system_score_gemma":0.00003082094,"threshold_uncertainty_score":0.52391577},"labels":[],"label_agreement":null},{"id":"W2010420021","doi":"10.3182/20110828-6-it-1002.03825","title":"Observer Design for Needle Steering Using Task-Induced Symmetry and Reduction","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Observer (physics); Planar; Control theory (sociology); Nonholonomic system; Orientation (vector space); Reduction (mathematics); Position (finance); Separation principle; Configuration space; Observable; Computer science; Computer vision; State observer; Artificial intelligence; Robot; Mathematics; Control (management); Physics; Mobile robot; Nonlinear system; Geometry","score_opus":0.09041729257969755,"score_gpt":0.24223011470854025,"score_spread":0.1518128221288427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010420021","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":[0.95376575,0.00016208705,0.04464286,0.000012759107,0.00018863658,0.00039152973,0.0000029369924,0.00030636584,0.0005271028],"genre_scores_gemma":[0.9084511,0.000017089065,0.091238305,0.000005959454,0.00011433907,0.000073058676,0.0000013040866,0.000043503343,0.000055366316],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937576,0.000001167721,0.00015644205,0.00018221566,0.000065844026,0.00021855728],"domain_scores_gemma":[0.99973965,0.00001330852,0.00003638994,0.000063634274,0.00007733707,0.000069686015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102536906,0.00013287635,0.00012717667,0.0000756259,0.00011815731,0.000062130275,0.00008224372,0.00008265432,0.0000058019414],"category_scores_gemma":[0.000023228842,0.00014783908,0.000032733158,0.0001676351,0.000019594161,0.00025437534,0.00002295582,0.000079060344,0.0000036029262],"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":[0.000026255928,0.0000677336,0.0049100663,0.0005208544,0.00015747407,5.35355e-7,0.0042975186,0.0025915639,0.9629384,0.007953784,0.0016642928,0.014871499],"study_design_scores_gemma":[0.00073530315,0.00015325616,0.011085023,0.00014610386,0.00018142276,0.000060087088,0.0022109633,0.6701437,0.3072936,0.006114737,0.0010010039,0.0008747453],"about_ca_topic_score_codex":0.00002724988,"about_ca_topic_score_gemma":3.5313718e-7,"teacher_disagreement_score":0.6675522,"about_ca_system_score_codex":0.000045000834,"about_ca_system_score_gemma":0.000008489819,"threshold_uncertainty_score":0.6028703},"labels":[],"label_agreement":null},{"id":"W2011184400","doi":"10.3182/20140514-3-fr-4046.00073","title":"A Framework for Supervisory Control of Probabilistic Discrete Event Systems","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","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":"McMaster University","funders":"","keywords":"Probabilistic logic; Supervisory control; Event (particle physics); Markov decision process; Probabilistic relevance model; Probabilistic CTL; Markov chain; Control (management); Measure (data warehouse); Mathematics; Similarity (geometry); Computer science; Markov process; Theoretical computer science; Mathematical optimization; Probabilistic analysis of algorithms; Artificial intelligence; Machine learning; Data mining; Statistics","score_opus":0.02549161442273919,"score_gpt":0.259274075027449,"score_spread":0.23378246060470978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011184400","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":[0.036326095,0.00059769856,0.9602786,0.00030990763,0.00075048156,0.0010222,0.0000131730685,0.00024086032,0.00046099065],"genre_scores_gemma":[0.9244633,0.0000045295915,0.07467764,0.000068246685,0.00026624586,0.0003535783,9.636982e-7,0.000026945489,0.00013856248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977115,0.00003090898,0.00067435,0.0006041838,0.0004907611,0.00048830966],"domain_scores_gemma":[0.99809724,0.00042371737,0.00037792104,0.0004009085,0.000566645,0.00013354479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012583743,0.00024422974,0.00054785603,0.00014753059,0.00013360176,0.0002445599,0.001251867,0.0001634746,0.0000017634524],"category_scores_gemma":[0.0012973574,0.00021799614,0.00016312166,0.00035164505,0.00007714133,0.0005035999,0.00017149092,0.0001545474,0.0000104758265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003886428,0.00007487236,0.0048961616,0.001796318,0.00007994493,4.311365e-7,0.0019376948,0.0029566688,0.0016184174,0.9805166,0.0006858853,0.0053980993],"study_design_scores_gemma":[0.00058552827,0.00025119132,0.0002442926,0.0006128009,0.000029094394,0.000013548528,0.00014825533,0.9550439,0.00029290805,0.039988924,0.0024971676,0.00029239137],"about_ca_topic_score_codex":0.000025559502,"about_ca_topic_score_gemma":7.852849e-7,"teacher_disagreement_score":0.9520872,"about_ca_system_score_codex":0.00008115953,"about_ca_system_score_gemma":0.00006491162,"threshold_uncertainty_score":0.88896245},"labels":[],"label_agreement":null},{"id":"W2011710837","doi":"10.3182/20100901-3-it-2016.00240","title":"A Small Gain Framework for Networked Cooperative Teleoperation","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Teleoperation; Computer science; Human–computer interaction; Distributed computing; Control engineering; Engineering; Process management; Control (management); Artificial intelligence","score_opus":0.01754237080051858,"score_gpt":0.23138076579797878,"score_spread":0.2138383949974602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011710837","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":[0.80115366,0.00020005502,0.17972901,0.0004550869,0.002699028,0.0014860516,0.00002147985,0.0013910149,0.012864603],"genre_scores_gemma":[0.95615727,0.0000142832305,0.04127966,0.00016133266,0.0011760996,0.00036101873,0.000015160105,0.000059606424,0.00077558483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989992,0.0000038249855,0.00029910143,0.00024887075,0.00012002168,0.0003290082],"domain_scores_gemma":[0.99940675,0.000069149166,0.00004092987,0.00010411543,0.00026461718,0.00011444716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022832736,0.00021714807,0.00023607144,0.00007536887,0.00018382054,0.00031141573,0.00016458718,0.00023859247,0.00011918536],"category_scores_gemma":[0.00020344778,0.00020713772,0.00006542974,0.00019295071,0.00004094675,0.00024067315,0.000015550548,0.00032079782,0.000073920324],"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":[0.00012657988,0.00018206291,0.011872333,0.0007807381,0.00041247235,0.0000035980122,0.016818106,0.012383454,0.28612596,0.49505994,0.07592605,0.1003087],"study_design_scores_gemma":[0.0009420917,0.00017846927,0.000914826,0.0001293717,0.00004184279,0.000029693654,0.001289432,0.84037554,0.024377057,0.0023386055,0.12853731,0.0008457354],"about_ca_topic_score_codex":0.000009298565,"about_ca_topic_score_gemma":0.00008244361,"teacher_disagreement_score":0.8279921,"about_ca_system_score_codex":0.00003105464,"about_ca_system_score_gemma":0.00002702102,"threshold_uncertainty_score":0.8446831},"labels":[],"label_agreement":null},{"id":"W2012102319","doi":"10.3182/20110828-6-it-1002.00938","title":"Gravitational Search Algorithms in Fuzzy Control Systems Tuning","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Sensitivity (control systems); Control theory (sociology); Mathematics; Overshoot (microwave communication); Parametric statistics; Fuzzy control system; Fuzzy logic; Mathematical optimization; Algorithm; Computer science; Control (management); Engineering; Artificial intelligence; Statistics","score_opus":0.029873072173759063,"score_gpt":0.23330055941653927,"score_spread":0.2034274872427802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012102319","genre_codex":"other","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":[0.35327893,0.0045472593,0.23390965,0.0017198174,0.004222471,0.0037885148,0.000034343775,0.001844027,0.39665496],"genre_scores_gemma":[0.99181205,0.0000066782936,0.0070123696,0.00011922477,0.00017786505,0.0001525779,0.000001304481,0.000014828123,0.0007031224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978667,0.00003837232,0.00043981354,0.00053806393,0.0005487345,0.0005682975],"domain_scores_gemma":[0.999147,0.00006666724,0.00013179313,0.00017434674,0.00032701733,0.00015320437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009078533,0.00021035546,0.00034865164,0.0002601097,0.00013882142,0.00030011893,0.0009573976,0.000120513534,0.000004806746],"category_scores_gemma":[0.000068786685,0.00019154085,0.00007575021,0.0005266536,0.0000711693,0.00093530875,0.00012616528,0.00022810586,0.000120101926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005512627,0.00019647452,0.122435704,0.000163613,0.000086101114,0.00006441754,0.010493427,0.00015492887,0.0023091112,0.84805006,0.0012780828,0.014712977],"study_design_scores_gemma":[0.006872843,0.0008312463,0.18450451,0.0004957214,0.000035176185,0.00030203228,0.006724579,0.7190717,0.00033419154,0.07704757,0.002079444,0.0017009745],"about_ca_topic_score_codex":0.0007650738,"about_ca_topic_score_gemma":0.0000070860574,"teacher_disagreement_score":0.7710025,"about_ca_system_score_codex":0.00009420738,"about_ca_system_score_gemma":0.00009281773,"threshold_uncertainty_score":0.78108096},"labels":[],"label_agreement":null},{"id":"W2015108611","doi":"10.3182/20130410-3-cn-2034.00089","title":"Prescribed Adaptive Control of a Class of Nonlinear System with Asymmetric Hysteresis","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministère de l’Éducation, Gouvernement de l’Ontario; Higher Education Discipline Innovation Project; Key Laboratory of Autonomous Systems and Network Control; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Hysteresis; Tracking error; Inverse; Adaptive control; Compensation (psychology); Stability (learning theory); Computer science; Mathematics; Control (management); Physics; Artificial intelligence","score_opus":0.003993484682357303,"score_gpt":0.1597181777989606,"score_spread":0.1557246931166033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015108611","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":[0.933687,0.001424121,0.049301893,0.000040141742,0.0000989586,0.0012884685,0.00005366061,0.0004001677,0.013705607],"genre_scores_gemma":[0.99820125,0.0000106320795,0.0014295061,0.000010853902,0.00006813324,0.00012859689,0.0000010638214,0.000044641296,0.00010532983],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987321,0.000006383796,0.00041498238,0.00019690895,0.0003147483,0.0003348753],"domain_scores_gemma":[0.99905515,0.00006597756,0.00019260983,0.00011783079,0.00047005524,0.00009838213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104467574,0.00022718751,0.00056413247,0.0002565752,0.00002827859,0.000032261556,0.00023357432,0.000111645764,0.00001382578],"category_scores_gemma":[0.00004949503,0.00018112674,0.00009111742,0.00060065376,0.000054344517,0.00029676646,0.000017811182,0.00014207873,0.000017007236],"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":[0.0016408254,0.0008188866,0.12052062,0.010223329,0.0068178964,0.00001844313,0.0050840788,0.0032049527,0.10439655,0.018028053,0.013831383,0.715415],"study_design_scores_gemma":[0.0019364847,0.0005894381,0.0033062864,0.0002590766,0.0001568908,0.000011868003,0.0009312147,0.9829967,0.009171025,0.000029064542,0.0002988436,0.00031308227],"about_ca_topic_score_codex":0.000190616,"about_ca_topic_score_gemma":0.0000029888627,"teacher_disagreement_score":0.97979176,"about_ca_system_score_codex":0.0000755593,"about_ca_system_score_gemma":0.000032254036,"threshold_uncertainty_score":0.7386134},"labels":[],"label_agreement":null},{"id":"W2016049779","doi":"10.3182/20110828-6-it-1002.01055","title":"Design Methodology of Modifier Adaptation for On-Line Optimization of Uncertain Processes","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","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":"McMaster University","funders":"","keywords":"Adaptation (eye); Scheme (mathematics); Line (geometry); Process (computing); Dual (grammatical number); Computer science; Mathematical optimization; Quality (philosophy); Optimization problem; Algorithm; Mathematics","score_opus":0.16515169258147158,"score_gpt":0.29094690066807644,"score_spread":0.12579520808660485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016049779","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":[0.0026907215,0.0001966934,0.9954766,0.000009185114,0.000104817744,0.0007356884,0.000010284598,0.00014550783,0.00063049706],"genre_scores_gemma":[0.49943042,0.00003418927,0.50028807,0.0000046687555,0.000025888265,0.00013861468,0.00000666471,0.000029690264,0.0000418121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990905,0.000013678195,0.00042407334,0.00017631557,0.00012595132,0.0001695101],"domain_scores_gemma":[0.998759,0.00017967552,0.00024092295,0.00007222277,0.00071718456,0.00003101721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032344647,0.00015061302,0.00031604158,0.00016542236,0.00002764108,0.0000061220544,0.00012354774,0.00011497459,0.000010648415],"category_scores_gemma":[0.0006706347,0.00015172933,0.000037684455,0.00028203335,0.00003819508,0.00029360238,0.000008341653,0.00004989192,7.610673e-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":[0.00017825727,0.00002729579,0.00004908879,0.00058768236,0.000045778997,6.281202e-8,0.0021085823,0.98850834,0.0042693648,0.0011182318,0.00003698447,0.0030703323],"study_design_scores_gemma":[0.0005080109,0.00032078958,0.000011578418,0.00008101216,0.000038088194,0.0000012152551,0.00040957355,0.9220803,0.07462777,0.0017775194,0.000016134143,0.00012800438],"about_ca_topic_score_codex":0.000014029854,"about_ca_topic_score_gemma":0.000001488676,"teacher_disagreement_score":0.4967397,"about_ca_system_score_codex":0.00003702759,"about_ca_system_score_gemma":0.000033121974,"threshold_uncertainty_score":0.61873424},"labels":[],"label_agreement":null},{"id":"W2016480652","doi":"10.3182/20070606-3-mx-2915.00056","title":"SIMULTANEOUS PROCESS AND CONTROL DESIGN OF DYNAMIC SYSTEMS UNDER UNCERTAINTY","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Process (computing); Process systems; Process control; Stability (learning theory); Control (management); Computer science; Control engineering; Design process; Process design; Robust control; Mathematical optimization; Engineering; Control system; Control theory (sociology); Work in process; Mathematics; Process engineering; Artificial intelligence","score_opus":0.004611079192574124,"score_gpt":0.21829198989582055,"score_spread":0.21368091070324643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016480652","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":[0.14160967,0.001758528,0.85480803,0.00001295379,0.00018062422,0.0008359501,0.000009226874,0.00041326095,0.00037174072],"genre_scores_gemma":[0.99784875,0.000038999184,0.0018497636,0.000011079161,0.000050653693,0.000039522954,0.000002108005,0.000054550754,0.00010458278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987738,0.0000061398855,0.00042881453,0.0002270769,0.00021906204,0.0003451214],"domain_scores_gemma":[0.9991741,0.00019990822,0.0001383751,0.00007708929,0.000317705,0.00009280518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035012662,0.00021571145,0.00036029643,0.00012952439,0.0000559218,0.00004833201,0.00012215757,0.00013548697,0.000002053038],"category_scores_gemma":[0.0001544127,0.00021415594,0.000027035467,0.0002193593,0.000062026906,0.00026270057,0.000009925833,0.000117441974,0.0000028785762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058439775,0.00000977321,0.00044841232,0.00043081824,0.000061456994,0.000002360965,0.00031686478,0.98033214,0.015880559,0.00021312703,0.000009770306,0.0022363043],"study_design_scores_gemma":[0.0008317135,0.00006647907,0.00015029164,0.000115181356,0.000036684327,0.000028578474,0.0010018782,0.9968449,0.00039989562,0.00026087853,0.000038615824,0.00022489116],"about_ca_topic_score_codex":0.0000168782,"about_ca_topic_score_gemma":0.0000044275794,"teacher_disagreement_score":0.8562391,"about_ca_system_score_codex":0.00012876648,"about_ca_system_score_gemma":0.000015882544,"threshold_uncertainty_score":0.8733026},"labels":[],"label_agreement":null},{"id":"W2017660771","doi":"10.3182/20100802-3-za-2014.00011","title":"SDG (Signed Directed Graph) Based Process Description and Fault Propagation Analysis for a Tailings Pumping Process","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"National Natural Science Foundation of China; Suncor Energy Incorporated","keywords":"Process (computing); Piping; Directed graph; Fault (geology); Complement (music); Computer science; Graph; Work in process; Engineering; Data mining; Control engineering; Theoretical computer science; Algorithm; Mechanical engineering","score_opus":0.007708607598793264,"score_gpt":0.22365647335867872,"score_spread":0.21594786575988545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017660771","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":[0.97020024,0.00006709962,0.026371256,0.00008539693,0.0002910005,0.0011073186,0.000011999436,0.0015408417,0.00032486],"genre_scores_gemma":[0.99787724,0.0000036746424,0.00078536966,0.00003263334,0.00015657321,0.00093394355,0.000025424955,0.0000593715,0.00012575531],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843407,0.000006115047,0.00042264705,0.00045736172,0.0002927223,0.00038708225],"domain_scores_gemma":[0.9989612,0.000030176947,0.00015392574,0.00010073051,0.00061027124,0.00014368391],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033008074,0.0002996497,0.00040444266,0.00055832195,0.00025398642,0.0003599373,0.00015521725,0.00022904249,0.000013710766],"category_scores_gemma":[0.00025304878,0.00029606023,0.00014190312,0.0012873803,0.00005902675,0.0006714936,0.000008189401,0.00025309526,0.00000333447],"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":[0.00027731882,0.0001334277,0.04768638,0.0035621182,0.00085681264,0.0000012306206,0.003902429,0.007197241,0.92533743,0.00017499136,0.00018029846,0.0106903445],"study_design_scores_gemma":[0.0009253791,0.00008498817,0.0029277725,0.00006597969,0.00031650177,0.000004596799,0.00071693247,0.9405074,0.05335911,0.00032142035,0.0003603217,0.0004095775],"about_ca_topic_score_codex":0.000037196965,"about_ca_topic_score_gemma":0.00012707898,"teacher_disagreement_score":0.93331015,"about_ca_system_score_codex":0.0000415083,"about_ca_system_score_gemma":0.000031772943,"threshold_uncertainty_score":0.99994916},"labels":[],"label_agreement":null},{"id":"W2018103193","doi":"10.3182/20060625-4-ca-2906.00018","title":"IDENTIFICATION OF SYNCHRONOUS GENERATORS USING “4SID” IDENTIFICATION METHOD AND NEURAL NETWOKS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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 Calgary","funders":"","keywords":"Identification (biology); Multivariable calculus; State space; Control theory (sociology); Subspace topology; Artificial neural network; Generator (circuit theory); State-space representation; Electric power system; System identification; Computer science; State (computer science); Permanent magnet synchronous generator; Power (physics); Control engineering; Engineering; Mathematics; Algorithm; Artificial intelligence; Data mining; Physics; Control (management)","score_opus":0.006402724635810176,"score_gpt":0.22071505087701287,"score_spread":0.2143123262412027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018103193","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":[0.9413579,0.0014231096,0.056084264,0.000023500137,0.00042770838,0.0003257125,0.000011452093,0.00019157371,0.00015478679],"genre_scores_gemma":[0.9981366,0.000024273075,0.0012676233,0.0000030832462,0.00029887454,0.000035715606,0.000013084545,0.000038116472,0.0001826784],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857837,0.000012677404,0.0007061977,0.000287506,0.0002037709,0.00021147256],"domain_scores_gemma":[0.9993084,0.000016679558,0.00026660797,0.00013474829,0.00022839065,0.000045173776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043413267,0.00017126637,0.00024217303,0.00018402524,0.000117165946,0.00021931036,0.000120727345,0.000102293125,0.000006132274],"category_scores_gemma":[0.00002992013,0.00019150502,0.00005797861,0.00026758845,0.000042013155,0.0005183431,0.000021793932,0.00008409009,0.0000047535987],"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":[0.000003664674,0.000015669637,0.0071518105,0.00022246895,0.000026765592,2.2311676e-7,0.00020793162,0.0071913623,0.9713109,0.000812282,0.00047258125,0.012584347],"study_design_scores_gemma":[0.00021276166,0.000010744357,0.042168498,0.000027420612,0.00007117507,0.000017909613,0.00012185465,0.85236204,0.103953876,0.0005978187,0.00024312825,0.00021279442],"about_ca_topic_score_codex":0.00030518163,"about_ca_topic_score_gemma":0.000019918634,"teacher_disagreement_score":0.867357,"about_ca_system_score_codex":0.00008465524,"about_ca_system_score_gemma":0.00001108853,"threshold_uncertainty_score":0.7809348},"labels":[],"label_agreement":null},{"id":"W2019041940","doi":"10.3182/20090819-3-pl-3002.00038","title":"Fairness of schedules in the control of packet-switched networks","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Scheduling and Optimization Algorithms","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":"Memorial University of Newfoundland","funders":"","keywords":"Fairness measure; Network packet; Scheduling (production processes); Computer science; Apportionment; Measure (data warehouse); Max-min fairness; Context (archaeology); Maximum throughput scheduling; Upper and lower bounds; Transformation (genetics); Mathematical optimization; Resource allocation; Computer network; Mathematics; Round-robin scheduling; Dynamic priority scheduling; Quality of service; Throughput; Telecommunications","score_opus":0.006649252761787493,"score_gpt":0.20741793165431766,"score_spread":0.20076867889253017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019041940","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":[0.89913213,0.001467721,0.09638129,0.00034045943,0.0001577682,0.00030517732,0.000005024355,0.00018476637,0.0020256706],"genre_scores_gemma":[0.9908838,0.00006581595,0.0088809,0.0000637195,0.00006955836,0.000009981932,0.0000022463546,0.000013200139,0.000010736336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992021,0.000006254113,0.00031349,0.00011163297,0.00017446636,0.00019207127],"domain_scores_gemma":[0.9996331,0.000044777717,0.00007918051,0.000086536274,0.00012729164,0.000029143428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002962274,0.00012491937,0.00024704312,0.00009480684,0.000022433582,0.000025772722,0.0002287474,0.000098462675,0.000010366154],"category_scores_gemma":[0.00008482098,0.00009906148,0.000055584034,0.0003968529,0.00004457048,0.00012829369,0.000006514299,0.0001600305,0.0000016003738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015740388,0.0004049547,0.12019498,0.0004632845,0.00018714376,0.0000050325293,0.008842121,0.74430513,0.0067099887,0.029296,0.0007149988,0.088718936],"study_design_scores_gemma":[0.0007729172,0.000065279564,0.024927838,0.00009070518,0.000021993103,0.00000298847,0.0012854501,0.9690609,0.0027921265,0.00078853045,0.000039295228,0.0001519511],"about_ca_topic_score_codex":0.00000669885,"about_ca_topic_score_gemma":0.0000015090919,"teacher_disagreement_score":0.22475576,"about_ca_system_score_codex":0.000013968736,"about_ca_system_score_gemma":0.0000094799725,"threshold_uncertainty_score":0.40396097},"labels":[],"label_agreement":null},{"id":"W2020227723","doi":"10.3182/20020721-6-es-1901.01126","title":"PERFORMANCE ANALYSIS AND EVALUATION OF AR AND PAR ALGORITHMS FOR PREDICTION OF CYCLOSTATIONARY SIGNALS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cyclostationary process; Algorithm; Computer science; Linear prediction; Autoregressive model; Mathematics; Statistics; Telecommunications","score_opus":0.03459283169750072,"score_gpt":0.2558074669333826,"score_spread":0.22121463523588186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020227723","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":[0.97732484,0.00043426815,0.021461267,0.000008825864,0.000015717287,0.0002970683,0.00008917126,0.00010903094,0.00025983344],"genre_scores_gemma":[0.95726347,0.00031087676,0.042286955,0.0000014329097,0.000019346247,0.00007863527,0.000010239199,0.000012511079,0.000016544303],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939495,0.000002752012,0.00020892371,0.00012805847,0.00017750295,0.00008781477],"domain_scores_gemma":[0.999529,0.00002583621,0.000084120256,0.000040642437,0.0002969451,0.000023463055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022833899,0.00008750028,0.00017208337,0.00018405193,0.000031420517,0.000007186781,0.000037297308,0.00004367106,0.000010680879],"category_scores_gemma":[0.00004987706,0.00009351811,0.000027887474,0.00021481591,0.000054386186,0.00031596472,0.000014194173,0.00003512268,1.277348e-7],"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":[0.000044200424,0.00008418926,0.34752977,0.0018659906,0.0009788576,1.3707424e-7,0.0034874955,0.021993214,0.32125404,0.0002380152,0.00078920496,0.3017349],"study_design_scores_gemma":[0.00017190896,0.00009859421,0.12514865,0.000042462772,0.00022614084,0.0000011352015,0.00005259278,0.81380415,0.059731472,0.00061148324,0.000044760578,0.000066627515],"about_ca_topic_score_codex":0.0000018590401,"about_ca_topic_score_gemma":2.9778462e-7,"teacher_disagreement_score":0.7918109,"about_ca_system_score_codex":0.000024180194,"about_ca_system_score_gemma":0.000002394281,"threshold_uncertainty_score":0.38135576},"labels":[],"label_agreement":null},{"id":"W2020346051","doi":"10.3182/20050703-6-cz-1902.00303","title":"STABILITY OF A CLASS OF HYBRID IMPULSIVE AND SWITCHING SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Exponential stability; Hybrid system; Nonlinear system; Lyapunov function; Class (philosophy); Stability (learning theory); Chaotic; Mathematics; Computer science; Control (management); Physics; Artificial intelligence","score_opus":0.005904573483050274,"score_gpt":0.20758406658149287,"score_spread":0.2016794930984426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020346051","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":[0.9947729,0.00023827377,0.002313412,0.00007639866,0.00003783767,0.00019031939,0.000025954498,0.000014182467,0.0023307188],"genre_scores_gemma":[0.9995488,0.0000031817783,0.0001988714,0.0000040780487,0.00017509272,0.00001059127,0.000004038655,0.000008606966,0.000046751065],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992975,0.00000514515,0.00028626606,0.00016099164,0.00012064752,0.000129467],"domain_scores_gemma":[0.9994265,0.000023373515,0.00022992476,0.00005801923,0.00022110932,0.000041094478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014119741,0.00009615342,0.00024528525,0.000036702262,0.000042497733,0.000028272581,0.000068507965,0.000016530474,0.000032389347],"category_scores_gemma":[0.00001538913,0.000088011526,0.000046943645,0.00006890457,0.000041969153,0.00022859249,0.000039810795,0.00006342836,0.0000013880502],"study_design_candidate":"observational","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":[0.000048170194,0.00016619121,0.816603,0.00040530818,0.0001261775,1.28392e-7,0.003029992,0.00007223595,0.08988066,0.02394701,0.00017190205,0.065549195],"study_design_scores_gemma":[0.005621708,0.0005570061,0.07234206,0.00066399126,0.00031956987,0.000014540977,0.017659944,0.5246306,0.36248723,0.008509642,0.006018512,0.0011751761],"about_ca_topic_score_codex":0.00022924054,"about_ca_topic_score_gemma":0.0000019895624,"teacher_disagreement_score":0.74426097,"about_ca_system_score_codex":0.00001868218,"about_ca_system_score_gemma":0.000027801816,"threshold_uncertainty_score":0.35890058},"labels":[],"label_agreement":null},{"id":"W2021251545","doi":"10.3182/20070904-3-kr-2922.00063","title":"PROCESS DESIGN FOR MULTIDISCIPLINARY PATIENT CARE MEETINGS: CONSIDERING THE HUMAN FACTOR","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multidisciplinary approach; Process (computing); Health care; Information exchange; Knowledge management; Health professionals; Process management; Medical education; Nursing; Medicine; Computer science; Engineering; Sociology; Political science","score_opus":0.08328992962385877,"score_gpt":0.4353230253929669,"score_spread":0.35203309576910813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021251545","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":[0.9839303,0.0010345604,0.0023809727,0.0008709681,0.00081826467,0.007424481,0.000026607377,0.0004710014,0.0030428392],"genre_scores_gemma":[0.993326,0.000011025638,0.0030224132,0.00045583025,0.0007555027,0.0017632645,0.000009167361,0.00011459726,0.00054217235],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9957702,0.00009305571,0.0012468795,0.0006243485,0.00048113003,0.0017843554],"domain_scores_gemma":[0.99626243,0.0011698096,0.00080436614,0.00022500493,0.0012476571,0.00029075964],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0020874136,0.00037259117,0.0004891799,0.0001551929,0.003599379,0.00004087554,0.00042640555,0.00035936412,0.000054930515],"category_scores_gemma":[0.000936427,0.00027407857,0.00012008436,0.00031186364,0.00011778944,0.00026384738,0.00015498266,0.0009027235,0.00005371652],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046265012,0.00017928444,0.3683271,0.012984177,0.00016078605,0.000007834917,0.5457444,0.000027633841,0.016281135,0.0020195134,0.017883064,0.03592237],"study_design_scores_gemma":[0.005331349,0.004021535,0.028741116,0.0046999725,0.00017390409,0.000043274627,0.78837985,0.0029135712,0.030230435,0.0042886296,0.12892582,0.0022505687],"about_ca_topic_score_codex":0.00024653654,"about_ca_topic_score_gemma":0.00028475685,"teacher_disagreement_score":0.339586,"about_ca_system_score_codex":0.00076266594,"about_ca_system_score_gemma":0.00069282576,"threshold_uncertainty_score":0.99997115},"labels":[],"label_agreement":null},{"id":"W2021870618","doi":"10.3182/20110828-6-it-1002.03645","title":"Combined Feedback/Feedforward Velocity Control of Electrokinetically Driven Flow in a Network of Planar Microchannels","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Feed forward; Control theory (sociology); Controller (irrigation); Artificial neural network; Control engineering; PID controller; Feedforward neural network; Adaptive neuro fuzzy inference system; Flow control (data); Inverse; Computer science; Finite element method; Fuzzy control system; Engineering; Fuzzy logic; Control (management); Artificial intelligence; Mathematics; Temperature control","score_opus":0.006335632149889313,"score_gpt":0.17391752470352476,"score_spread":0.16758189255363545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021870618","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":[0.98200536,0.0053652376,0.00845882,0.000051213025,0.000053140826,0.0005333325,0.000031302217,0.00013466734,0.0033668992],"genre_scores_gemma":[0.9945113,0.0029738739,0.0022824933,0.000030449546,0.000050727267,0.000065171866,0.00000842405,0.000038603703,0.000038969436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864113,0.0000070837964,0.00051851413,0.00021885434,0.00015846426,0.00045592219],"domain_scores_gemma":[0.9994775,0.000025388055,0.00010879879,0.00012421516,0.00018191134,0.000082194456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015251192,0.00021202367,0.00047934306,0.00009712969,0.000033158787,0.000008938414,0.00030298426,0.00015115367,0.000076327364],"category_scores_gemma":[0.000022839198,0.00022389328,0.00009623391,0.00044589187,0.000104919636,0.00007823604,0.000021942395,0.00019333456,0.000008487472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029410855,0.00017331154,0.018383224,0.0003203644,0.00023510681,0.0000017565276,0.0016746229,0.00014848726,0.93764836,0.0086440835,0.031003056,0.0014735105],"study_design_scores_gemma":[0.004020619,0.0010651558,0.0807296,0.00033089705,0.0002258833,0.000018933362,0.00035473343,0.043295603,0.85246104,0.0122223925,0.004266675,0.0010084424],"about_ca_topic_score_codex":0.00003799843,"about_ca_topic_score_gemma":0.0000050250774,"teacher_disagreement_score":0.0851873,"about_ca_system_score_codex":0.000054976084,"about_ca_system_score_gemma":0.000035675435,"threshold_uncertainty_score":0.9130103},"labels":[],"label_agreement":null},{"id":"W2022144091","doi":"10.3182/20080706-5-kr-1001.00325","title":"Fault Detection and Isolation Applied to a Ship Propulsion Benchmark","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Fault detection and isolation; Benchmark (surveying); Fault (geology); Control theory (sociology); Engineering; Kalman filter; Parametric statistics; Propulsion; Filter (signal processing); Extended Kalman filter; Computer science; Mathematics; Statistics; Artificial intelligence","score_opus":0.007445420490558767,"score_gpt":0.19036013211043823,"score_spread":0.18291471161987946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022144091","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":[0.98780596,0.000110358786,0.002912353,0.000056779238,0.00028611504,0.0004976255,0.0000014467738,0.0006331155,0.007696256],"genre_scores_gemma":[0.99874514,0.000020280742,0.00043146627,0.000043612246,0.0001955509,0.00015661097,0.0000012069384,0.000029461571,0.00037664425],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917114,0.0000027634924,0.0002050954,0.00022801217,0.00017595035,0.00021706829],"domain_scores_gemma":[0.99972355,0.000008045348,0.000033046406,0.0000574793,0.000060660313,0.00011718789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009322471,0.00015810094,0.00016570586,0.00015107197,0.00018386893,0.000062243256,0.000060195332,0.00011155979,0.000011881797],"category_scores_gemma":[0.000031827312,0.00015847341,0.000029934914,0.00027207826,0.000019449606,0.00020093824,0.000017517268,0.00012787637,0.000063342006],"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":[0.000114531445,0.00002148849,0.0062443763,0.00022692536,0.000041822757,0.0000018445742,0.0033610202,0.0006706736,0.88978684,0.00013175997,0.0020141392,0.097384565],"study_design_scores_gemma":[0.002283907,0.000520913,0.090775825,0.00015982945,0.00005520037,0.0003467598,0.0018856723,0.7233039,0.11222181,0.00048679358,0.0665028,0.0014565913],"about_ca_topic_score_codex":0.00002877341,"about_ca_topic_score_gemma":0.00001747255,"teacher_disagreement_score":0.77756506,"about_ca_system_score_codex":0.00007116127,"about_ca_system_score_gemma":0.0000047927806,"threshold_uncertainty_score":0.6462358},"labels":[],"label_agreement":null},{"id":"W2022550619","doi":"10.3182/20091014-3-cl-4011.00009","title":"Simulation of Gold Grain Exposure of Ground Ore Using Voronoi Tessellation","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","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":"Université Laval","funders":"","keywords":"Breakage; Grinding; Voronoi diagram; Materials science; Grain size; Gold ore; Leaching (pedology); Particle size; Metallurgy; Mineralogy; Geology; Composite material; Geometry; Mathematics; Soil science","score_opus":0.01682665153213652,"score_gpt":0.24399564428272358,"score_spread":0.22716899275058705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022550619","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":[0.9947667,0.000483108,0.0027671368,0.000015043029,0.000087973924,0.000101176265,0.0000034304821,0.00013944844,0.0016359497],"genre_scores_gemma":[0.9968307,0.000007904424,0.0028845954,0.000005651125,0.0001104248,0.0000010960905,0.000004159655,0.000020978703,0.00013449581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912524,0.0000028352922,0.0003540014,0.00014510323,0.00018969948,0.00018308999],"domain_scores_gemma":[0.9995146,0.000024653202,0.00014372668,0.00006179431,0.00021606775,0.000039193317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015087253,0.00014716313,0.00022799116,0.000148158,0.000040297014,0.000033442855,0.000096152966,0.000108078035,0.000010470446],"category_scores_gemma":[0.000096367585,0.0001522018,0.000047167814,0.00038550154,0.000028757893,0.00041251053,0.0000101095175,0.00010022426,0.0000012979673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015149247,0.000030832398,0.011031149,0.00053252996,0.000024597082,3.389857e-7,0.0018666273,0.73784506,0.22734135,0.0003920063,0.00014776218,0.020772608],"study_design_scores_gemma":[0.00026481328,0.00009253955,0.012419217,0.00025262355,0.00003377717,0.0000023268,0.00025557016,0.9713728,0.013863149,0.0010722135,0.00016346552,0.0002075093],"about_ca_topic_score_codex":0.000018600878,"about_ca_topic_score_gemma":9.964983e-7,"teacher_disagreement_score":0.23352773,"about_ca_system_score_codex":0.0000447866,"about_ca_system_score_gemma":0.000012100538,"threshold_uncertainty_score":0.62066096},"labels":[],"label_agreement":null},{"id":"W2022678111","doi":"10.3182/20070523-3-es-4908.00011","title":"DSOPP: AN INTELLIGENT PLATFORM FOR DISTRIBUTED SIMULATION OF ORDER PROMISING PROTOCOLS IN SUPPLY CHAIN NETWORKS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Scheduling and Optimization Algorithms","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":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Supply chain; Order (exchange); Distributed computing; Feature (linguistics); Systems engineering; Engineering","score_opus":0.02188073905257827,"score_gpt":0.2872795255594124,"score_spread":0.26539878650683413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022678111","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":[0.21772657,0.000039275088,0.7761639,0.000013673813,0.00009379833,0.0055979686,0.000013526104,0.00026062928,0.00009067907],"genre_scores_gemma":[0.9295883,0.0000038887893,0.06920881,0.000010675008,0.00013710129,0.00089919864,0.00008365631,0.00004559373,0.000022736876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988032,0.0000019475674,0.00049036014,0.00020074981,0.00015344533,0.00035031175],"domain_scores_gemma":[0.999379,0.00006230694,0.00009857404,0.00007558731,0.00029911974,0.00008540766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056219025,0.0001704303,0.00022598323,0.00017077083,0.00005164371,0.00006333785,0.00013093119,0.00016087662,0.000012115436],"category_scores_gemma":[0.00017901289,0.00017888236,0.00004089439,0.0005101831,0.00002730621,0.00034534486,0.000016485685,0.00014509354,9.084541e-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":[0.000079718346,0.000054760505,0.007530445,0.0001533232,0.000013348953,3.3726164e-7,0.00079224113,0.9690168,0.00022809097,0.00017801241,0.000022794999,0.021930149],"study_design_scores_gemma":[0.00060733967,0.00010322371,0.0017364376,0.0001574464,0.0000071667714,0.0000011426102,0.00048161577,0.9902704,0.005936934,0.00020319689,0.0002929872,0.00020210659],"about_ca_topic_score_codex":0.000008414397,"about_ca_topic_score_gemma":0.000013194199,"teacher_disagreement_score":0.7118618,"about_ca_system_score_codex":0.00010597917,"about_ca_system_score_gemma":0.000018065546,"threshold_uncertainty_score":0.7294611},"labels":[],"label_agreement":null},{"id":"W2022951309","doi":"10.3182/20060517-3-fr-2903.00254","title":"OUTLINE OF A FRAMEWORK FOR ANALYSIS OF MANUFACTURING SYSTEMS USING THE PAC SCHEME","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Scheduling and Optimization Algorithms","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":"Dalhousie University","funders":"","keywords":"Kanban; Scheme (mathematics); Computer science; Variety (cybernetics); Process (computing); Industrial engineering; Artificial neural network; Production control; Engineering; Production (economics); Control (management); Artificial intelligence","score_opus":0.01825073001928108,"score_gpt":0.2536511326116452,"score_spread":0.2354004025923641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022951309","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":[0.6777107,0.0005467829,0.32111478,0.000020547799,0.00015481765,0.00018226441,0.000027042404,0.000113270704,0.0001297885],"genre_scores_gemma":[0.8011056,0.000009665356,0.19866925,0.0000038501244,0.00011857931,0.0000154347,0.0000073714086,0.000023890912,0.000046344554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912196,0.0000025845357,0.0003854616,0.00013364156,0.00017479777,0.00018152721],"domain_scores_gemma":[0.9994562,0.00007257871,0.00015904213,0.000103621045,0.00018326614,0.00002524023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019804873,0.00012913112,0.00033229258,0.0002205725,0.000058869264,0.000045497767,0.00014948491,0.000100640296,0.000007958407],"category_scores_gemma":[0.000067311754,0.000104804094,0.00015001422,0.00052816985,0.000040523606,0.00008800141,0.00001775404,0.000094029485,4.1263337e-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":[0.000009986255,0.000025196663,0.009488347,0.00040055503,0.00065795105,1.226479e-7,0.00044416304,0.9832274,0.0024832934,0.0028645818,0.00007269513,0.0003257591],"study_design_scores_gemma":[0.00012172536,0.000011272813,0.0008540539,0.00008277263,0.0003683004,8.298091e-7,0.00062857126,0.96749526,0.030029736,0.00020753364,0.00008458767,0.00011534948],"about_ca_topic_score_codex":0.0000813199,"about_ca_topic_score_gemma":0.0000019228694,"teacher_disagreement_score":0.123394884,"about_ca_system_score_codex":0.00003041308,"about_ca_system_score_gemma":0.000008188308,"threshold_uncertainty_score":0.4273787},"labels":[],"label_agreement":null},{"id":"W2023402869","doi":"10.3182/20060517-3-fr-2903.00286","title":"INCLUDING KITTING DECISIONS IN THE DESIGN OF SUPPLY CHAINS FOR THE AERONAUTIC INDUSTRY","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Pratt and Whitney Canada","keywords":"Novelty; Supply chain; Assembly line; Inclusion (mineral); Aerospace; Manufacturing engineering; Operations research; Business; Line (geometry); Engineering; Industrial engineering; Computer science; Operations management; Industrial organization; Marketing; Mathematics; Mechanical engineering","score_opus":0.16102363183578627,"score_gpt":0.38705516580632665,"score_spread":0.22603153397054038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023402869","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":[0.73950267,0.0003448547,0.23800373,0.01233596,0.00020066992,0.00356388,0.000019088762,0.00017367527,0.0058554765],"genre_scores_gemma":[0.9754601,0.000016812883,0.022557706,0.000264187,0.00011504442,0.00034253666,0.0000014098174,0.000015820808,0.0012263809],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973109,0.0000612559,0.000841751,0.0003977601,0.0010485121,0.0003398202],"domain_scores_gemma":[0.99456,0.0042736386,0.00035432924,0.00033798497,0.00044931492,0.000024731957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008224043,0.00016762089,0.00024812366,0.0004128169,0.0005620649,0.0005675299,0.001732381,0.00014512167,0.000032457912],"category_scores_gemma":[0.0070307693,0.000091616384,0.00009709044,0.0015872866,0.00018443479,0.00058845826,0.0002834982,0.0003230412,0.000010473226],"study_design_candidate":"observational","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":[0.000088115776,0.0004862408,0.34599093,0.00003212223,0.000054112446,0.000003857924,0.0079435585,0.004448528,0.009908593,0.25369766,0.22311665,0.15422963],"study_design_scores_gemma":[0.0014316756,0.00054338865,0.27488932,0.0003944014,0.00014342381,0.000018449302,0.044497017,0.32704675,0.0129280705,0.2905143,0.0467572,0.00083600404],"about_ca_topic_score_codex":0.00014007803,"about_ca_topic_score_gemma":0.000058495352,"teacher_disagreement_score":0.32259822,"about_ca_system_score_codex":0.000056583474,"about_ca_system_score_gemma":0.000058653502,"threshold_uncertainty_score":0.8416995},"labels":[],"label_agreement":null},{"id":"W2023815720","doi":"10.3182/20090921-3-tr-3005.00011","title":"Real-time Global Optimization using Multiple Units","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Offset (computer science); Mathematical optimization; Nonlinear system; Global optimization; Optimization problem; Mathematics; Control theory (sociology); Zero (linguistics); Scalar (mathematics); Computer science; Control (management)","score_opus":0.011189922626515135,"score_gpt":0.21285589486175452,"score_spread":0.20166597223523938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023815720","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":[0.9046117,0.00037460166,0.046730388,0.00009830423,0.00054461276,0.00061593996,0.000027450104,0.00339114,0.043605845],"genre_scores_gemma":[0.9845748,0.000023418623,0.014859276,0.000022627028,0.00027915745,0.00000589763,0.000009555126,0.00003904788,0.00018624803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988036,0.0000057601915,0.00030295958,0.00024619824,0.00023777071,0.00040367074],"domain_scores_gemma":[0.9994624,0.000016244498,0.00007457605,0.00010891492,0.0002265904,0.000111253095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001347191,0.00023775327,0.00026901573,0.000082344595,0.00010387354,0.00016199778,0.0001962915,0.0001458006,0.000020992182],"category_scores_gemma":[0.00012996061,0.00026561003,0.000046849793,0.00060211454,0.000020260222,0.00047454154,0.000019355239,0.00009922125,0.000051173567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043336324,0.000057223046,0.038927868,0.00017494413,0.00012264623,0.000011016099,0.0010693409,0.54171324,0.4013129,0.00059811573,0.005152899,0.010816487],"study_design_scores_gemma":[0.00041920686,0.00003457733,0.0018500952,0.00009031171,0.00002560665,0.000025254074,0.000058396767,0.99636215,0.00025639607,0.000091380476,0.0005008175,0.00028582968],"about_ca_topic_score_codex":0.000089849855,"about_ca_topic_score_gemma":0.0000030417295,"teacher_disagreement_score":0.45464888,"about_ca_system_score_codex":0.00029191741,"about_ca_system_score_gemma":0.000021654594,"threshold_uncertainty_score":0.9999796},"labels":[],"label_agreement":null},{"id":"W2023822800","doi":"10.3182/20020721-6-es-1901.00694","title":"INCREMENTAL NEURAL LEARNING BY DYNAMIC AND SPATIAL CHANGING WEIGHTS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Forgetting; Computer science; Artificial neural network; Artificial intelligence; Task (project management); Adaptation (eye); Identification (biology); Core (optical fiber); Machine learning; Engineering","score_opus":0.00726110274252106,"score_gpt":0.2042705121739903,"score_spread":0.19700940943146925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023822800","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":[0.9829049,0.00049598736,0.012891031,0.0018922313,0.000101254525,0.00017715884,0.0000016437765,0.00030891655,0.0012268808],"genre_scores_gemma":[0.9960476,0.00008241837,0.0023960106,0.00017420949,0.0000819964,0.000024983212,0.0000019058886,0.000010859461,0.0011799716],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990259,0.000004702807,0.00013197733,0.00034920586,0.00016352216,0.00032471734],"domain_scores_gemma":[0.9997179,0.000015674244,0.00007511415,0.000068396184,0.000033665812,0.0000892352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006833531,0.00012994834,0.0001088691,0.000072425115,0.00038364294,0.00028938436,0.00029637787,0.00003949142,0.000024300201],"category_scores_gemma":[0.000007679779,0.00012350029,0.000028801855,0.00027242178,0.000043699823,0.00050991256,0.0002383067,0.00016961004,0.000024621495],"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":[0.0000053058748,0.0001352837,0.019044599,0.00005888791,0.000035560934,0.0000067630635,0.003911463,0.000026446496,0.052267157,0.01123677,0.013282948,0.89998883],"study_design_scores_gemma":[0.00017264909,0.00006439848,0.0016228304,0.0000151636095,0.000004821991,0.000028469669,0.00007436113,0.98939073,0.00088140613,0.0003699598,0.007182953,0.000192269],"about_ca_topic_score_codex":0.000035705827,"about_ca_topic_score_gemma":0.000003684492,"teacher_disagreement_score":0.98936427,"about_ca_system_score_codex":0.000022079164,"about_ca_system_score_gemma":0.0000019146744,"threshold_uncertainty_score":0.50361955},"labels":[],"label_agreement":null},{"id":"W2023881335","doi":"10.3182/20100826-3-tr-4015.00019","title":"Immersion and Invariance Based Adaptive Control of Three Dimensional Autonomous Vehicle Maneuvers","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Kinematics; Parametric statistics; Inertial frame of reference; Immersion (mathematics); Adaptive control; Motion control; Controller (irrigation); Control engineering; Engineering; Euler angles; Reference frame; Computer science; Frame (networking); Inertial measurement unit; Control system; Control (management); Artificial intelligence; Mathematics","score_opus":0.010141509505677337,"score_gpt":0.20073138974741464,"score_spread":0.19058988024173731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023881335","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":[0.8876514,0.00013819333,0.10884343,0.0013208045,0.00059910404,0.00062236626,0.000040335417,0.00019990173,0.0005844901],"genre_scores_gemma":[0.9901781,6.3231056e-7,0.009468521,0.00019168106,0.000052726526,0.000033505366,0.0000022480808,0.000013248811,0.00005935574],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983732,0.000012333232,0.00033249112,0.00053401076,0.0003988763,0.0003490565],"domain_scores_gemma":[0.9988671,0.00011340397,0.00029845213,0.0002341098,0.00032237323,0.00016453899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003944527,0.00021256598,0.00032944407,0.000110427885,0.00014139003,0.00012647305,0.0006203713,0.00013313661,0.000016359909],"category_scores_gemma":[0.00008215916,0.00020279545,0.00007623335,0.0002365848,0.0001578988,0.00069766864,0.00015185846,0.0002488912,0.000026223544],"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":[0.0003814529,0.00040437488,0.19074427,0.00019189453,0.00023106301,0.000030623058,0.00069857517,0.00033259194,0.682149,0.08819106,0.0025521633,0.034092937],"study_design_scores_gemma":[0.0025545477,0.00019848501,0.049363304,0.0000571832,0.000027472826,0.00001566327,0.00005759168,0.9385263,0.007934221,0.000517678,0.00046158023,0.000286015],"about_ca_topic_score_codex":0.00017474209,"about_ca_topic_score_gemma":0.000018882605,"teacher_disagreement_score":0.9381937,"about_ca_system_score_codex":0.00003975145,"about_ca_system_score_gemma":0.00011084257,"threshold_uncertainty_score":0.8269758},"labels":[],"label_agreement":null},{"id":"W2024766137","doi":"10.3182/20120403-3-de-3010.00043","title":"Charged System Search Algorithms for Optimal Tuning of PI Controllers","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"University of Ottawa","funders":"Autoritatea Natională pentru Cercetare Stiintifică","keywords":"Sensitivity (control systems); Particle swarm optimization; Control theory (sociology); Minification; Algorithm; PID controller; Process (computing); Mathematics; Optimal control; Mathematical optimization; Computer science; Engineering; Control (management); Control engineering; Artificial intelligence; Temperature control","score_opus":0.01568947666045841,"score_gpt":0.23710977250463558,"score_spread":0.22142029584417716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024766137","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":[0.2020225,0.0025369334,0.7858489,0.000047609294,0.0011277711,0.0022153973,0.00006730155,0.0012811311,0.0048524155],"genre_scores_gemma":[0.9638153,0.0000124986145,0.035178963,0.0000049314262,0.00041680507,0.0002440777,0.000008666363,0.000079693324,0.0002390862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985831,0.000006263961,0.00041529024,0.00017681497,0.00023992648,0.0005785981],"domain_scores_gemma":[0.9992923,0.00005847575,0.0001100586,0.00009219119,0.00030749096,0.00013946167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044883974,0.00021086814,0.0004384054,0.00015307154,0.00009302364,0.000037989397,0.00016832147,0.00012152822,0.0000064072383],"category_scores_gemma":[0.000080019185,0.00021896946,0.00010247123,0.00019871457,0.000033575543,0.0006379369,0.000024857276,0.000103842896,0.000009237312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005649472,0.00018590257,0.028784353,0.01006438,0.0014802304,0.0000020374162,0.014793341,0.49934968,0.38456893,0.022195477,0.0038086264,0.03420209],"study_design_scores_gemma":[0.0015176364,0.000059378013,0.0002267242,0.00015418304,0.000044874738,0.0000101919895,0.0021359099,0.9851816,0.009282545,0.0000054044613,0.0011251098,0.00025642876],"about_ca_topic_score_codex":0.0000080688715,"about_ca_topic_score_gemma":2.5361848e-7,"teacher_disagreement_score":0.7617928,"about_ca_system_score_codex":0.0001774879,"about_ca_system_score_gemma":0.000014194534,"threshold_uncertainty_score":0.8929316},"labels":[],"label_agreement":null},{"id":"W2025825920","doi":"10.3182/20060517-3-fr-2903.00243","title":"DYNAMIC PRICING WITH ONLINE LEARNING OF GENERAL RESERVATION PRICE DISTRIBUTION","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"Queen's University","funders":"","keywords":"Reservation; Dynamic pricing; Distribution (mathematics); Reservation price; Computer science; Economics; Online learning; Mathematical economics; Econometrics; Operations research; Microeconomics; Mathematical optimization; Mathematics; Computer network; World Wide Web","score_opus":0.008419306769807622,"score_gpt":0.2069440854402822,"score_spread":0.19852477867047458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025825920","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":[0.98388827,0.000049131224,0.003762946,0.00051483273,0.000084883,0.00026662246,0.0000032663384,0.00018779711,0.011242249],"genre_scores_gemma":[0.99403787,0.0000063855705,0.0013132864,0.00013467633,0.00041937042,0.000017688617,0.00038818465,0.000027284841,0.0036552676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879473,0.0000024947933,0.00030170238,0.00027313977,0.00035114522,0.00027679343],"domain_scores_gemma":[0.999177,0.000008050082,0.00038143696,0.000073869785,0.0003511794,0.000008485141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025730405,0.00016708198,0.00018013554,0.00017432043,0.00017414949,0.00014653169,0.00015657244,0.000050105384,0.00004809409],"category_scores_gemma":[0.00007154496,0.00014980044,0.00004564847,0.00065184175,0.000055142707,0.0011885149,0.000114184084,0.00013144397,0.000015660666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018597135,0.00046922138,0.8435693,0.0014816695,0.000079167025,0.0000052567907,0.00015541169,0.004008063,0.0124673685,0.11296178,0.017762313,0.0068545104],"study_design_scores_gemma":[0.0010644726,0.00008623046,0.44759315,0.00025564936,0.00010367539,0.000002197041,0.0012486515,0.4041848,0.0006302778,0.0016016416,0.14274439,0.0004848759],"about_ca_topic_score_codex":0.0009463979,"about_ca_topic_score_gemma":0.0000559101,"teacher_disagreement_score":0.40017673,"about_ca_system_score_codex":0.000086958586,"about_ca_system_score_gemma":0.000009306535,"threshold_uncertainty_score":0.6108685},"labels":[],"label_agreement":null},{"id":"W2025837178","doi":"10.3182/20120620-3-dk-2025.00168","title":"A Pragmatic Approach to Robust Gain Scheduling","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","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":"Honeywell (Canada)","funders":"","keywords":"Gain scheduling; Constructive; Control theory (sociology); Scheduling (production processes); Multivariable calculus; Robust control; Computer science; Nonlinear system; Control engineering; Automatic gain control; Mathematical optimization; Engineering; Control system; Control (management); Mathematics; Artificial intelligence; Process (computing)","score_opus":0.011281627553596551,"score_gpt":0.20749271841493835,"score_spread":0.1962110908613418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025837178","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":[0.074896164,0.0009635595,0.87307227,0.000059584512,0.00039545327,0.0008528963,0.0000037427922,0.0013300324,0.04842629],"genre_scores_gemma":[0.7786513,0.000005813599,0.22042006,0.000040683954,0.00034783068,0.00019886346,0.0000043122564,0.00006545087,0.00026566905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878496,0.0000046360497,0.00027878856,0.0001885529,0.00020540507,0.00053767243],"domain_scores_gemma":[0.9995184,0.00001744062,0.000052997293,0.000104776875,0.0000942161,0.00021214927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026994926,0.00021148454,0.00024432474,0.00014122088,0.00007801442,0.00008626171,0.0001659622,0.000094999494,0.000008971525],"category_scores_gemma":[0.00017956308,0.00022134719,0.000044132885,0.00037116214,0.000013381075,0.0008180182,0.000038143626,0.00015128974,0.00012997148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006999089,0.00005127258,0.0042780354,0.00046433642,0.00005667864,1.681029e-7,0.0031633268,0.9759201,0.0076937145,0.0036707278,0.0012995697,0.0033950717],"study_design_scores_gemma":[0.00030764457,0.000016163558,0.00042536046,0.000091917034,0.000025275094,0.000018266564,0.0009250157,0.9943919,0.000799706,0.00008796332,0.002520932,0.0003898278],"about_ca_topic_score_codex":0.0000039300257,"about_ca_topic_score_gemma":3.4424826e-7,"teacher_disagreement_score":0.70375514,"about_ca_system_score_codex":0.00014111532,"about_ca_system_score_gemma":0.0000069158104,"threshold_uncertainty_score":0.90262765},"labels":[],"label_agreement":null},{"id":"W2025927051","doi":"10.3182/20080706-5-kr-1001.02074","title":"Adaptive Control of Unknown Dynamic Hysteretic Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Piezoelectric Actuators 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":"Concordia University","funders":"","keywords":"Control theory (sociology); Adaptive control; Control engineering; Control (management); Computer science; Engineering; Artificial intelligence","score_opus":0.005071999024184869,"score_gpt":0.16822905634273316,"score_spread":0.1631570573185483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025927051","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":[0.92604417,0.0058767083,0.056752536,0.000029989505,0.00040993723,0.0005963302,0.000025651443,0.0005522284,0.00971247],"genre_scores_gemma":[0.9990493,0.000115753464,0.00011562643,0.000015008118,0.00007730705,0.000066212684,0.000001272535,0.000043009797,0.00051651493],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988694,0.0000047333438,0.0003392648,0.00018978241,0.00023875752,0.00035801393],"domain_scores_gemma":[0.999519,0.000036657268,0.00009297615,0.000093609255,0.00016506547,0.00009271233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008630054,0.00021444084,0.00042870815,0.000119488905,0.00006710649,0.000022078359,0.00020155351,0.000111432164,0.000012567008],"category_scores_gemma":[0.00003423824,0.00020215996,0.0000929465,0.00023494152,0.000074012234,0.00019608035,0.000013347585,0.00016353125,0.000031598196],"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":[0.0013152702,0.0010815591,0.12400753,0.006090922,0.0066784984,0.0002563532,0.020510904,0.02821171,0.17982174,0.06457238,0.045996882,0.52145624],"study_design_scores_gemma":[0.0009504906,0.00017202682,0.001265502,0.00007613213,0.000054588872,0.000070633374,0.00016928172,0.9949594,0.0003646837,0.000112627924,0.001522364,0.00028226737],"about_ca_topic_score_codex":0.000026397678,"about_ca_topic_score_gemma":0.0000012067393,"teacher_disagreement_score":0.9667477,"about_ca_system_score_codex":0.000096686774,"about_ca_system_score_gemma":0.000029873485,"threshold_uncertainty_score":0.8243844},"labels":[],"label_agreement":null},{"id":"W2027766652","doi":"10.3182/20131216-3-in-2044.00007","title":"Development of Toxicity Index to Evaluate the Level of Water Contamination by Using Cellular Responses","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services; University of Calgary; Alberta Health; University of Alberta","funders":"","keywords":"Toxicity; Contamination; Environmental science; Environmental chemistry; Index (typography); Toxicology; Chemistry; Biology; Computer science; Ecology","score_opus":0.03128032024158326,"score_gpt":0.2627843591400389,"score_spread":0.23150403889845564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027766652","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":[0.9963035,0.00014759811,0.0031114256,0.000096490985,0.000025024316,0.0002582305,0.000005074006,0.000004329006,0.00004830611],"genre_scores_gemma":[0.9963689,0.000004363405,0.0026364757,0.000049123522,0.00003393768,0.00002650314,0.000014439242,0.00001461137,0.00085163495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898124,0.000021240277,0.0003267931,0.00022591681,0.000245777,0.00019902867],"domain_scores_gemma":[0.9992247,0.000005586524,0.000107412074,0.0001271157,0.00048558065,0.000049561615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047194408,0.00012812433,0.0001731343,0.00005912176,0.00008640534,0.00001992564,0.00020409466,0.00009276321,0.00003415728],"category_scores_gemma":[0.00006288029,0.00008763311,0.00006424277,0.000113595015,0.00007047252,0.0000086245855,0.00014993375,0.00003825091,0.000005829801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003136813,0.000025035739,0.009534248,0.000022127879,0.000084233914,2.7783024e-8,0.00055285275,0.000051522504,0.98615026,0.000002885038,0.0008975061,0.0026479533],"study_design_scores_gemma":[0.00015077344,0.00005311384,0.009785824,0.00001535971,0.00003540903,9.64254e-7,0.00038499417,0.0014676838,0.98593944,0.000019792973,0.0020277945,0.000118834316],"about_ca_topic_score_codex":0.00004188063,"about_ca_topic_score_gemma":0.000011069973,"teacher_disagreement_score":0.002529119,"about_ca_system_score_codex":0.000026326743,"about_ca_system_score_gemma":0.00005696677,"threshold_uncertainty_score":0.35735744},"labels":[],"label_agreement":null},{"id":"W2028935879","doi":"10.3182/20090603-3-ru-2001.0548","title":"A simulation model for parts selection and routing in manufacturing systems","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Selection (genetic algorithm); Routing (electronic design automation); Model selection; Vehicle routing problem; Computer science; Engineering; Sequence (biology); Industrial engineering; Artificial intelligence; Embedded system","score_opus":0.014881225837536495,"score_gpt":0.23727320864277684,"score_spread":0.22239198280524036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028935879","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":[0.27690515,0.0000708399,0.7221038,0.000014674753,0.00006001856,0.00028928576,0.0000020355478,0.00032271302,0.00023150812],"genre_scores_gemma":[0.9872123,0.00002146523,0.012550847,0.000009332698,0.00006882634,0.00002869494,0.0000049489668,0.000019751556,0.00008382358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936163,0.0000012575653,0.00018423972,0.00017115098,0.00006714394,0.00021459872],"domain_scores_gemma":[0.9998256,0.000031225136,0.00004103808,0.000027238491,0.000039697625,0.00003517523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009484617,0.00012426166,0.00013153489,0.00010161562,0.00007557567,0.00008375234,0.000033824632,0.000077514,3.3705624e-7],"category_scores_gemma":[0.000061803075,0.00013807375,0.000015749421,0.000054028304,0.000006249708,0.00031020443,0.000005845253,0.00008735771,4.2976194e-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":[0.000008353361,0.0000051208112,0.00020268669,0.00008190667,0.0000031467262,9.541523e-8,0.0003417493,0.99437815,0.00018895685,0.0006200866,0.000013670327,0.0041560503],"study_design_scores_gemma":[0.00023702726,0.000025379346,0.0008144759,0.000051091014,0.000007622966,0.0000015129367,0.000061952705,0.99487865,0.0015217623,0.0021969038,0.000049000344,0.00015462034],"about_ca_topic_score_codex":0.000004447831,"about_ca_topic_score_gemma":0.0000029715798,"teacher_disagreement_score":0.7103072,"about_ca_system_score_codex":0.0000801022,"about_ca_system_score_gemma":0.000003636961,"threshold_uncertainty_score":0.5630484},"labels":[],"label_agreement":null},{"id":"W2028942415","doi":"10.3182/20140824-6-za-1003.01693","title":"Optical Navigation System for Pin-Point Lunar Landing","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Astro and Planetary Science","field":"Physics and Astronomy","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":"NGC Aerospace (Canada); Université de Sherbrooke","funders":"European Space Agency","keywords":"Spacecraft; Inertial navigation system; Robustness (evolution); Aerospace; Velocity vector; Computer vision; Navigation system; Position (finance); Computer science; Artificial intelligence; Aerospace engineering; Moon landing; Angular velocity; Simulation; Engineering; Orientation (vector space); Mathematics","score_opus":0.006526614084368984,"score_gpt":0.21189363088211038,"score_spread":0.2053670167977414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028942415","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":[0.8905561,0.00001086097,0.08750982,0.00015806855,0.00028459236,0.00030342277,0.000030341655,0.000108305096,0.021038499],"genre_scores_gemma":[0.9907256,6.6169356e-8,0.008219529,0.000012982151,0.0005680184,0.000030431926,0.00005642322,0.000010021412,0.00037692537],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991593,0.00000355861,0.00016811148,0.000247507,0.00014198839,0.00027957876],"domain_scores_gemma":[0.99963325,0.000045858065,0.00008659665,0.000058550417,0.0000789783,0.000096759206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028052492,0.00012064365,0.00015327473,0.00003210785,0.00019473149,0.00011819331,0.00015532105,0.00003159866,0.000032803455],"category_scores_gemma":[0.0000116981455,0.00010715546,0.000060539467,0.00008518708,0.000037292444,0.00029305342,0.000024831324,0.000083081395,0.00005993075],"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":[0.000057333542,0.0000594586,0.5695319,0.0003468719,0.00006128289,6.1468666e-7,0.0010642722,0.000091579124,0.018197022,0.36681092,0.0052727796,0.038505938],"study_design_scores_gemma":[0.0044417125,0.0015075722,0.11358276,0.0014901883,0.0003278477,0.000068723384,0.0150226625,0.7077921,0.0624968,0.02142262,0.06919046,0.0026565383],"about_ca_topic_score_codex":0.0000357871,"about_ca_topic_score_gemma":2.315311e-7,"teacher_disagreement_score":0.70770055,"about_ca_system_score_codex":0.000018832821,"about_ca_system_score_gemma":0.00001466999,"threshold_uncertainty_score":0.43696728},"labels":[],"label_agreement":null},{"id":"W2029056319","doi":"10.3182/20100802-3-za-2014.00001","title":"Multivariate Specifications of Raw Materials: Application to Aluminum Reduction Cells","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Alcoa (Canada)","funders":"","keywords":"Raw material; Univariate; Multivariate statistics; Process (computing); Reduction (mathematics); Process engineering; Quality (philosophy); Set (abstract data type); Smelting; Aluminium; Multivariate analysis; Computer science; Engineering; Raw data; Manufacturing engineering; Metallurgy; Materials science; Mathematics; Chemistry","score_opus":0.013000636739437502,"score_gpt":0.2273094877901733,"score_spread":0.2143088510507358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029056319","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":[0.9934909,0.000018272216,0.00277138,0.00009478755,0.0007175612,0.00025119385,0.000014710086,0.00031130388,0.0023298943],"genre_scores_gemma":[0.98930466,0.0000071444415,0.009590902,0.00000506466,0.00040847616,0.00006925574,0.000009802932,0.000035879835,0.0005687934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991562,0.0000019965275,0.00029201573,0.00021953689,0.00013047522,0.00019979502],"domain_scores_gemma":[0.99956,0.000007985144,0.0000814383,0.00012507923,0.00014291028,0.00008260377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017427107,0.00013947398,0.00016498708,0.00014333166,0.00008085568,0.00007277327,0.00017223715,0.000103121165,0.00006178421],"category_scores_gemma":[0.000034879227,0.00014693379,0.000028324866,0.0002839433,0.000036580124,0.00023120013,0.000025085543,0.0001412385,0.000108567445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054874686,0.000017597635,0.00006146377,0.00009500131,0.000007312541,4.4124647e-8,0.0008187034,0.0004372255,0.99098295,0.0007598288,0.0024855991,0.0043288018],"study_design_scores_gemma":[0.000105201856,0.000014221542,0.0010744974,0.0000314344,0.000013469256,0.0000053133413,0.00020549251,0.0039137728,0.988237,0.0002841023,0.0059375255,0.00017794872],"about_ca_topic_score_codex":0.000046319343,"about_ca_topic_score_gemma":0.0000040953214,"teacher_disagreement_score":0.006819523,"about_ca_system_score_codex":0.000025311736,"about_ca_system_score_gemma":0.00000897872,"threshold_uncertainty_score":0.5991786},"labels":[],"label_agreement":null},{"id":"W2029088340","doi":"10.3182/20060517-3-fr-2903.00361","title":"SUPPLYING THE OPERATING THEATRE: CYCLIC AND SUPPLY CHAIN APPROACHES","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Procurement; Supply chain; Principal (computer security); Block (permutation group theory); Resource (disambiguation); Business; Operations management; Computer science; Engineering; Operating system; Marketing; Mathematics; Computer network","score_opus":0.05240954863589035,"score_gpt":0.3256938544753805,"score_spread":0.27328430583949015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029088340","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":[0.9588556,0.0008978217,0.00093487196,0.018011088,0.00023056228,0.0014244708,0.000015352249,0.00022111443,0.019409066],"genre_scores_gemma":[0.98547816,0.00010892058,0.010211203,0.0007257811,0.00070125837,0.00041233227,0.000036017453,0.00004140647,0.002284938],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822503,0.000095795105,0.0005408033,0.00037188566,0.0002211883,0.00054527103],"domain_scores_gemma":[0.9992362,0.00018953961,0.00015375744,0.00013399211,0.00019460973,0.00009184809],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011449454,0.00019994653,0.00023179725,0.0000851939,0.003051775,0.00016087739,0.00016565682,0.00019647542,0.00008530628],"category_scores_gemma":[0.00016222305,0.00013773648,0.000038494913,0.00030144723,0.000103475424,0.00034928913,0.00010457231,0.00056650804,0.00003688403],"study_design_candidate":"observational","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":[0.000019483492,0.0000724931,0.9005007,0.00042118994,0.000026531785,0.0000013899206,0.015786279,0.0006385002,0.001885165,0.049271166,0.01034531,0.021031754],"study_design_scores_gemma":[0.0031644523,0.00032734344,0.23268667,0.0013573997,0.00014370914,0.00006367172,0.098045126,0.5864254,0.00092349766,0.0058541633,0.06931951,0.0016890656],"about_ca_topic_score_codex":0.0012963461,"about_ca_topic_score_gemma":0.00023064479,"teacher_disagreement_score":0.6678141,"about_ca_system_score_codex":0.00008103881,"about_ca_system_score_gemma":0.00015012965,"threshold_uncertainty_score":0.99824613},"labels":[],"label_agreement":null},{"id":"W2029500714","doi":"10.3182/20090610-3-it-4004.00009","title":"Design and Verification of Time-Constrained Workflows With Multi-Level Security","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Soundness; Workflow; Computer science; Computer security model; Security policy; Formalism (music); Workflow technology; Workflow management system; Workflow engine; Information flow; Security testing; Information security; Software engineering; Security information and event management; Database; Programming language; Computer security; Cloud computing security; Operating system","score_opus":0.028785475000508595,"score_gpt":0.2414136283963554,"score_spread":0.21262815339584681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029500714","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":[0.19034395,0.00013415463,0.8078104,0.00061534246,0.000041336207,0.00031743757,0.0000014980208,0.00021870744,0.0005171854],"genre_scores_gemma":[0.6676329,0.00001164043,0.33220488,0.000072795825,0.000020450201,0.0000057687535,8.874532e-7,0.0000041855246,0.000046532547],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989262,0.000015461352,0.0002479653,0.0003927211,0.00021137441,0.00020623773],"domain_scores_gemma":[0.99922484,0.000057199704,0.00020719071,0.00016803457,0.0002645001,0.00007821095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040680764,0.0001438831,0.00018300649,0.00009927388,0.00014136109,0.00015536965,0.0004239992,0.00007650503,0.000005417674],"category_scores_gemma":[0.00006647988,0.00013493859,0.000024646384,0.00040775922,0.00010229818,0.00057746255,0.000046162164,0.00011974836,0.000008398831],"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":[0.00029026787,0.0012333859,0.011893014,0.0003286359,0.00015987358,0.0000085705215,0.050753534,0.0005550491,0.10306019,0.16003007,0.0025464343,0.669141],"study_design_scores_gemma":[0.000928517,0.00039419963,0.022912,0.00014891922,0.000017135986,0.00005363344,0.00018393873,0.94467217,0.024370778,0.005623246,0.00029934602,0.00039611536],"about_ca_topic_score_codex":0.000005501158,"about_ca_topic_score_gemma":2.552601e-7,"teacher_disagreement_score":0.9441171,"about_ca_system_score_codex":0.000021174501,"about_ca_system_score_gemma":0.000057723388,"threshold_uncertainty_score":0.5502636},"labels":[],"label_agreement":null},{"id":"W2029545508","doi":"10.3182/20131218-3-in-2045.00175","title":"Evaluation of Adaptive Extended Kalman Filter Algorithms for State Estimation in Presence of Model-Plant Mismatch","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Moving horizon estimation; Alpha beta filter; Control theory (sociology); Extended Kalman filter; State (computer science); Algorithm; Fast Kalman filter; Invariant extended Kalman filter; Computer science; Adaptive filter; Ensemble Kalman filter; Estimation; Mathematics; Engineering; Artificial intelligence; Control (management)","score_opus":0.029998184011939998,"score_gpt":0.26377836102610547,"score_spread":0.23378017701416548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029545508","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":[0.94611603,0.00014935885,0.051285323,0.000023284321,0.00012289312,0.0014192321,0.00003316972,0.00008581794,0.00076491025],"genre_scores_gemma":[0.9942014,0.0000065990985,0.0050879624,0.0000026223267,0.000011670565,0.00055224117,0.0000057040593,0.000017229844,0.00011452941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895316,0.0000090256335,0.00036571873,0.00014165751,0.00037040145,0.00016005804],"domain_scores_gemma":[0.9992311,0.000024298231,0.00011296381,0.000061361665,0.0005376717,0.00003262917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025139,0.00011156153,0.00021072314,0.00012692336,0.0000166933,0.000019925514,0.00008954389,0.00005948596,0.0000121061585],"category_scores_gemma":[0.000084534055,0.00010941764,0.000041912674,0.00012459699,0.000020814507,0.00037596974,0.00000948443,0.000058295474,0.0000046398095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074435855,0.000090883645,0.00049751875,0.00069444545,0.00013185375,1.2159315e-7,0.006635084,0.6784099,0.100028954,0.00025100008,0.0014256233,0.2117602],"study_design_scores_gemma":[0.0006901225,0.000074779724,0.0014680481,0.00011712996,0.000025464737,0.0000013692196,0.00043649424,0.9766047,0.016905267,0.0035613498,0.000009734085,0.0001055574],"about_ca_topic_score_codex":0.00022867831,"about_ca_topic_score_gemma":0.000036071026,"teacher_disagreement_score":0.2981948,"about_ca_system_score_codex":0.00007298022,"about_ca_system_score_gemma":0.000024013454,"threshold_uncertainty_score":0.44619218},"labels":[],"label_agreement":null},{"id":"W2030385104","doi":"10.3182/20090712-4-tr-2008.00161","title":"Early determination of toxicant concentration in water supply using MHE","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Analytical Chemistry and Sensors","field":"Chemical 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 Alberta","funders":"","keywords":"Extended Kalman filter; Toxicant; Kalman filter; Estimator; Moving horizon estimation; Water supply; Computer science; Environmental science; Estimation; Control theory (sociology); Warning system; Engineering; Control engineering; Environmental engineering; Chemistry; Control (management); Mathematics; Artificial intelligence; Systems engineering; Statistics","score_opus":0.01137929218901233,"score_gpt":0.23562497826920753,"score_spread":0.2242456860801952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030385104","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":[0.99745715,0.000016514181,0.00068307854,0.0001200612,0.000014344379,0.000062677274,0.0000013820418,0.000035470417,0.0016093334],"genre_scores_gemma":[0.99842036,0.0000034871148,0.0012588447,0.000028211165,0.0000526138,0.0000013462992,0.0000039581455,0.0000070861674,0.00022410796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921405,0.0000017891102,0.000258377,0.00015568524,0.00014742477,0.0002226574],"domain_scores_gemma":[0.9997754,0.000011194403,0.000043985714,0.00004194882,0.00007528422,0.000052191568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000724745,0.00010049025,0.00016037197,0.000031922355,0.000021182825,0.000019853253,0.00008222471,0.00009664602,0.00005343751],"category_scores_gemma":[0.0000762166,0.00008542905,0.000043795142,0.000103870356,0.000032487733,0.00021096827,0.000011505402,0.0001170968,0.0000045618017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017667688,0.000028524937,0.0045149336,0.000036247766,0.000002713072,0.0000018408044,0.00059264473,0.0000496556,0.9929804,0.00031838877,0.000005294316,0.0014516712],"study_design_scores_gemma":[0.00020707063,0.000031363656,0.0024511954,0.000056534438,0.00001133419,0.000003318676,0.00008591907,0.1448637,0.8517609,0.00038043314,0.000037456306,0.00011075737],"about_ca_topic_score_codex":0.000023390321,"about_ca_topic_score_gemma":3.763003e-7,"teacher_disagreement_score":0.14481404,"about_ca_system_score_codex":0.00005968517,"about_ca_system_score_gemma":0.0000069698126,"threshold_uncertainty_score":0.34836954},"labels":[],"label_agreement":null},{"id":"W2030648993","doi":"10.3182/20080706-5-kr-1001.01049","title":"Non-Parametric Tuning of PID Controllers via Modified Second-Order Sliding Mode Algorithms","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking 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 Calgary","funders":"","keywords":"Control theory (sociology); PID controller; Parametric statistics; Controller (irrigation); Crossover; Phase margin; Mode (computer interface); Engineering; Stability (learning theory); Process (computing); Control engineering; Computer science; Mathematics; Control (management); Electronic engineering; Temperature control","score_opus":0.013020123127218917,"score_gpt":0.21247040230811287,"score_spread":0.19945027918089395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030648993","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":[0.8867504,0.0011844938,0.08564806,0.000032815384,0.0008236037,0.00076341693,0.000018443661,0.0009070397,0.023871705],"genre_scores_gemma":[0.9942511,0.0000586791,0.0043321135,0.000029873041,0.00028538014,0.000088395325,0.0000051754882,0.00013700273,0.0008123298],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974342,0.000009838918,0.0008258715,0.00046059437,0.00052512105,0.0007443466],"domain_scores_gemma":[0.9988156,0.00011857387,0.0002571797,0.00022907155,0.0003848817,0.00019471238],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034309746,0.0004576187,0.0009154011,0.00066606456,0.00019331343,0.000071227194,0.0004439437,0.00026018193,0.00004206309],"category_scores_gemma":[0.00017515656,0.0004925829,0.00020360573,0.0011179236,0.00008225323,0.00057105295,0.00006568904,0.00040289204,0.00004031581],"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":[0.00014884617,0.00014195779,0.027176555,0.0012259173,0.00096076867,0.000038527094,0.006819666,0.038682472,0.9113421,0.00042294568,0.0055855187,0.007454737],"study_design_scores_gemma":[0.0018183462,0.00008924763,0.0011676014,0.00012020775,0.000046769037,0.000075660384,0.00024056216,0.9897757,0.005413441,0.0001099092,0.00062463863,0.00051787944],"about_ca_topic_score_codex":0.00017710876,"about_ca_topic_score_gemma":0.000008598742,"teacher_disagreement_score":0.95109326,"about_ca_system_score_codex":0.00019579787,"about_ca_system_score_gemma":0.000047258614,"threshold_uncertainty_score":0.9997526},"labels":[],"label_agreement":null},{"id":"W2031225427","doi":"10.3182/20140824-6-za-1003.00874","title":"Periodic Event-Triggered Distributed Receding Horizon Control of Dynamically Decoupled Linear Systems","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Control theory (sociology); Computation; Stability (learning theory); Linear system; Horizon; Computer science; State (computer science); Event (particle physics); Set (abstract data type); Control (management); Mathematics; Algorithm; Physics","score_opus":0.003508503166021294,"score_gpt":0.19587437485430467,"score_spread":0.19236587168828337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031225427","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":[0.2591592,0.00070621126,0.7372281,0.000043638407,0.000677061,0.000753155,0.00007396163,0.00078272517,0.00057593035],"genre_scores_gemma":[0.99707586,0.000047365895,0.0022287255,0.000006480336,0.00029953735,0.00013081098,0.000046200563,0.00008854095,0.00007649978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980048,0.000018454763,0.0008071524,0.00034051208,0.00035475296,0.0004743572],"domain_scores_gemma":[0.9988051,0.00009417033,0.00029587589,0.00017612816,0.0004751564,0.00015353513],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040334035,0.00032847494,0.0006957385,0.0001641864,0.00010327223,0.0000933353,0.0002810567,0.00022273156,0.000010191236],"category_scores_gemma":[0.00055132614,0.00033821582,0.00012268224,0.00038712338,0.00005695259,0.00041442685,0.000028320384,0.00021289218,0.000019467863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020565023,0.0000779814,0.014671797,0.0018873964,0.0004202792,0.000002277745,0.00042677083,0.77087253,0.19806467,0.0043850313,0.00065462344,0.008330958],"study_design_scores_gemma":[0.0016025419,0.00016728329,0.00043652242,0.0002674302,0.000065380875,0.0000075479093,0.00015600289,0.99471164,0.0008752953,0.00009185929,0.0012787669,0.00033973606],"about_ca_topic_score_codex":0.000023436447,"about_ca_topic_score_gemma":0.000004241018,"teacher_disagreement_score":0.73791665,"about_ca_system_score_codex":0.00021509189,"about_ca_system_score_gemma":0.000021802067,"threshold_uncertainty_score":0.99990696},"labels":[],"label_agreement":null},{"id":"W2031244408","doi":"10.3182/20110828-6-it-1002.02189","title":"Methods of Trajectory Tracking for Flexible Joint Space Manipulators","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Trajectory; Tracking (education); Control theory (sociology); Joint (building); Computer science; Space (punctuation); Control engineering; Mathematics; Engineering; Artificial intelligence; Physics; Control (management)","score_opus":0.04995682695892572,"score_gpt":0.2623880840285409,"score_spread":0.2124312570696152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031244408","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":[0.58428466,0.0013038253,0.3872837,0.000038495695,0.0013402242,0.0009876876,0.000017129665,0.000993546,0.023750722],"genre_scores_gemma":[0.9336493,0.000012545261,0.06580466,0.000009480753,0.000095790965,0.000064318476,8.412707e-7,0.000054409353,0.00030863573],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990026,0.000004887635,0.0003691447,0.00019277737,0.00012905036,0.00030155058],"domain_scores_gemma":[0.9995808,0.000026820335,0.00009749341,0.00008895846,0.00011647717,0.000089467445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050230935,0.00017522872,0.0003740014,0.0000970525,0.000038747206,0.00002791324,0.00017731043,0.000121471916,0.000027725055],"category_scores_gemma":[0.00006226102,0.00017056541,0.0001742061,0.0001242753,0.00002078688,0.00017407251,0.000020986374,0.00010600295,0.000004485226],"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":[0.00011451328,0.00015696339,0.002914812,0.0025769311,0.00057311537,0.0000019769168,0.0057144878,0.000575341,0.7071697,0.15377119,0.00187352,0.12455744],"study_design_scores_gemma":[0.0015076705,0.00047539134,0.006093875,0.00034245048,0.00019265673,0.00001633411,0.001966005,0.561514,0.39838117,0.01885352,0.00971041,0.000946515],"about_ca_topic_score_codex":0.00004025152,"about_ca_topic_score_gemma":0.000003776513,"teacher_disagreement_score":0.56093866,"about_ca_system_score_codex":0.000055756835,"about_ca_system_score_gemma":0.000010949584,"threshold_uncertainty_score":0.69554555},"labels":[],"label_agreement":null},{"id":"W2031401722","doi":"10.3182/20090630-4-es-2003.00157","title":"Unobservability Subspaces For Continuous-time Markovian Jump Systems with Application to Fault Diagnosis","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Linear subspace; Observability; Unobservable; Subspace topology; Markov process; Residual; Property (philosophy); Mathematics; Jump; Computer science; Applied mathematics; Control theory (sociology); Algorithm; Pure mathematics; Econometrics; Mathematical analysis; Artificial intelligence; Control (management)","score_opus":0.004648273354901563,"score_gpt":0.20192079034867572,"score_spread":0.19727251699377416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031401722","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":[0.9818534,0.0004263943,0.008681624,0.0009001227,0.00027927815,0.0032293964,0.000043695894,0.0015819655,0.0030041088],"genre_scores_gemma":[0.9960968,0.000010431108,0.0005712063,0.00009606777,0.00024455227,0.0019580503,0.0000075413745,0.000044771965,0.0009706041],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986297,0.000006519366,0.0003354528,0.0003949542,0.00023387936,0.00039952624],"domain_scores_gemma":[0.9992537,0.000046341396,0.00008141196,0.00016870581,0.0002677948,0.00018205079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002621436,0.0002689434,0.0004110161,0.000110028086,0.00012425061,0.00023172384,0.00021289718,0.00013396602,0.000008007569],"category_scores_gemma":[0.000067929795,0.00024319623,0.00008039064,0.00033179068,0.000021856395,0.00027830843,0.000009450617,0.000102462844,0.00008153359],"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":[0.0017063331,0.000717765,0.2729119,0.0044638575,0.0009712337,0.000005749137,0.006718035,0.035335034,0.22981189,0.0030334229,0.14691679,0.29740798],"study_design_scores_gemma":[0.0021588511,0.0012855865,0.036433928,0.0003580933,0.00013400867,0.000028536531,0.0018348765,0.66571385,0.010665699,0.00017389833,0.27985665,0.0013560321],"about_ca_topic_score_codex":0.00010256534,"about_ca_topic_score_gemma":0.000031301213,"teacher_disagreement_score":0.6303788,"about_ca_system_score_codex":0.00014513505,"about_ca_system_score_gemma":0.000011428429,"threshold_uncertainty_score":0.99172544},"labels":[],"label_agreement":null},{"id":"W2032247118","doi":"10.3182/20070606-3-mx-2915.00106","title":"CONTROL OF A CATALYTIC FLOW REVERSAL REACTOR MODEL BY LINEAR QUADRATIC REGULATOR","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Riccati equation; Linear-quadratic regulator; Representation (politics); Flow (mathematics); State space; Quadratic equation; Mathematics; State-space representation; State (computer science); Operator (biology); Controller (irrigation); Applied mathematics; Fraction (chemistry); Optimal control; Differential equation; Mathematical optimization; Mathematical analysis; Control (management); Computer science; Chemistry; Algorithm; Geometry","score_opus":0.004462655632769326,"score_gpt":0.19845405063104776,"score_spread":0.19399139499827844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032247118","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":[0.122381486,0.00084220484,0.87349904,0.000057986483,0.00020982974,0.0006722132,0.000066842586,0.0005973754,0.0016730394],"genre_scores_gemma":[0.9809485,0.000014201673,0.018393366,0.000026285536,0.00012251726,0.000025691465,0.000014164336,0.000075646494,0.00037964783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853796,0.0000027642832,0.0005454364,0.00024394643,0.00028518637,0.0003847182],"domain_scores_gemma":[0.9992887,0.00004477561,0.00015614812,0.00014980116,0.00023191463,0.00012870309],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002855928,0.00023705668,0.00040902945,0.00011855728,0.000038042293,0.000023497407,0.00017913875,0.00015930686,0.0000050468993],"category_scores_gemma":[0.00018051415,0.00025043255,0.00007877498,0.00023445553,0.000047297057,0.0004816942,0.000015729587,0.0001550999,0.000014093919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022616182,0.00008984928,0.0024796084,0.00097317214,0.00029884325,0.0000037816887,0.0018375203,0.52889377,0.45023844,0.0010921971,0.007835981,0.006030683],"study_design_scores_gemma":[0.0009570659,0.000039430157,0.00005338211,0.000077179815,0.000049696722,0.0000046138503,0.000092365735,0.9828319,0.015001707,0.00013384929,0.0005127671,0.00024602358],"about_ca_topic_score_codex":0.000018775117,"about_ca_topic_score_gemma":0.0000050847743,"teacher_disagreement_score":0.858567,"about_ca_system_score_codex":0.00015656972,"about_ca_system_score_gemma":0.00002412618,"threshold_uncertainty_score":0.9999948},"labels":[],"label_agreement":null},{"id":"W2033239619","doi":"10.3182/20120215-3-at-3016.00216","title":"Graph-theoretic Modeling and Dynamic Simulation of an Automotive Torque Converter","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bond graph; Torque converter; Torque; Stator; Control theory (sociology); Computer science; Turbine; Automotive industry; Topology (electrical circuits); Control engineering; Graph; Engineering; Mathematics; Mechanical engineering; Physics; Theoretical computer science; Artificial intelligence","score_opus":0.006597339265193051,"score_gpt":0.22430615665707349,"score_spread":0.21770881739188044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033239619","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":[0.9717186,0.0002802423,0.025711158,0.0000093272665,0.00015287664,0.00022057466,0.0000037226664,0.00023580469,0.0016677091],"genre_scores_gemma":[0.99955684,0.000012610009,0.000262143,0.00001271452,0.000066825174,0.000012296217,0.000004772412,0.000031046533,0.00004073889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999251,0.000007664084,0.00025443916,0.00012838667,0.00013744493,0.00022105864],"domain_scores_gemma":[0.9996094,0.00002436203,0.00005310258,0.000065305125,0.00014227525,0.000105518106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018297334,0.00014230788,0.0002075884,0.000110122746,0.00004116601,0.00004644146,0.000063493855,0.00009216737,0.000024330822],"category_scores_gemma":[0.000029060597,0.00013928574,0.000039937306,0.00010403975,0.00003846802,0.00079976395,0.000012502163,0.000074373434,0.0000065992767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059176367,0.00008075964,0.027856892,0.00067444117,0.00017189371,4.2424296e-7,0.011545173,0.9143178,0.01738146,0.0041958895,0.000026991313,0.023689115],"study_design_scores_gemma":[0.0003333776,0.000030741787,0.0027878191,0.000038472277,0.000025050367,0.000002912453,0.00051617814,0.9950518,0.00028084975,0.0007549515,0.000025649122,0.00015220101],"about_ca_topic_score_codex":0.000017311344,"about_ca_topic_score_gemma":0.0000017542452,"teacher_disagreement_score":0.080734015,"about_ca_system_score_codex":0.00003344994,"about_ca_system_score_gemma":0.0000047273606,"threshold_uncertainty_score":0.5679907},"labels":[],"label_agreement":null},{"id":"W2033300532","doi":"10.3182/20050703-6-cz-1902.00311","title":"ON THE SUPERVISORY CONTROL FOR STATE TRAJECTORY SPECIFICATIONS IN TIME-VARYING DISCRETE-EVENT SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Supervisor; Supervisory control; Trajectory; Discrete event dynamic system; Event (particle physics); State (computer science); Control theory (sociology); Discrete time and continuous time; Control (management); Control engineering; Supervisory control theory; Computer science; Engineering; Discrete system; Mathematics; Algorithm; Artificial intelligence; Physics","score_opus":0.041078030313427535,"score_gpt":0.24832771823526062,"score_spread":0.20724968792183307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033300532","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":[0.5042042,0.0014039609,0.48093197,0.0055475957,0.00065196364,0.0029921648,0.000052448075,0.00054051745,0.0036751928],"genre_scores_gemma":[0.9938351,0.00001703328,0.0038372937,0.00025791358,0.00022737212,0.00052951387,0.0000018011382,0.000028659715,0.0012653184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783236,0.000038775197,0.0005636932,0.00056746264,0.0004899269,0.00050777255],"domain_scores_gemma":[0.99875087,0.00043134956,0.00019493372,0.00035307062,0.00017987777,0.000089932546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013073777,0.00023283956,0.00030160215,0.0002235582,0.00026276635,0.00051198684,0.0014141732,0.00007234989,0.000008464104],"category_scores_gemma":[0.00018406454,0.00018065664,0.00010995556,0.00041175453,0.000050055558,0.0006980166,0.000098981785,0.00021595888,0.00010666757],"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":[0.00047895347,0.0014935555,0.016693177,0.001150528,0.00052039657,0.000013175298,0.04970612,0.27996576,0.057608377,0.4492811,0.061343864,0.081744984],"study_design_scores_gemma":[0.00074347574,0.000074759,0.00063177303,0.00021768593,0.0000079163065,0.000009759954,0.00020661777,0.9893941,0.0005589568,0.0011132292,0.0067498353,0.00029184853],"about_ca_topic_score_codex":0.0000241729,"about_ca_topic_score_gemma":0.0000053419285,"teacher_disagreement_score":0.70942837,"about_ca_system_score_codex":0.00026848985,"about_ca_system_score_gemma":0.00007040439,"threshold_uncertainty_score":0.7366964},"labels":[],"label_agreement":null},{"id":"W2035390569","doi":"10.3182/20090630-4-es-2003.00209","title":"Qualitative representation of trends (QRT) as a tool for automated data-driven monitoring of on-line sensors","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Université Laval","funders":"","keywords":"Fault detection and isolation; Fault (geology); Line (geometry); Representation (politics); Computer science; Real-time computing; Data mining; Spectrum analyzer; Engineering; Control engineering; Reliability engineering; Artificial intelligence; Mathematics","score_opus":0.05072478546688537,"score_gpt":0.36629083677974156,"score_spread":0.3155660513128562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035390569","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":[0.9970988,0.000047532634,0.00037141255,0.00008910573,0.00024625935,0.00026477673,0.00008156408,0.0006263909,0.0011741344],"genre_scores_gemma":[0.9975147,0.0000081542985,0.0018709159,0.00000541805,0.00013456706,0.00002917915,0.000026834216,0.000021023461,0.0003892056],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894035,0.000010488076,0.00044229373,0.00022181563,0.0002178873,0.00016714759],"domain_scores_gemma":[0.99938446,0.000071017785,0.00016105962,0.00015739893,0.00018699704,0.000039047776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018986815,0.00014325119,0.00032836394,0.00019742179,0.00003501106,0.00002565566,0.00017138544,0.00008009072,0.000007285919],"category_scores_gemma":[0.00020737821,0.00014371928,0.00007384203,0.00034408082,0.000021807124,0.0002754781,0.000012794655,0.00007344956,0.0000049131418],"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":[0.0012391453,0.0003577771,0.0039991573,0.0011833503,0.001013799,0.0000038697203,0.054819226,0.106156446,0.64311635,0.0021145786,0.016785694,0.16921058],"study_design_scores_gemma":[0.0011787077,0.00051948347,0.0027825185,0.00014615977,0.000047231846,0.0000044633475,0.0061363652,0.9047653,0.08352938,0.00012596611,0.0005592701,0.00020512182],"about_ca_topic_score_codex":0.00003559941,"about_ca_topic_score_gemma":9.5587e-7,"teacher_disagreement_score":0.7986089,"about_ca_system_score_codex":0.000040571304,"about_ca_system_score_gemma":0.000009020805,"threshold_uncertainty_score":0.58607024},"labels":[],"label_agreement":null},{"id":"W2036042742","doi":"10.3182/20140824-6-za-1003.02492","title":"A proportional integral extremum-seeking control approach","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Mathematics; Nonlinear system; Function (biology); Mathematical optimization; Control (management); Applied mathematics; Computer science; Physics","score_opus":0.0054787824546290095,"score_gpt":0.17686563982062947,"score_spread":0.17138685736600046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036042742","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":[0.11482305,0.00082722574,0.7030879,0.00025399713,0.0013592442,0.0012324118,0.00001746178,0.003954175,0.17444448],"genre_scores_gemma":[0.99376047,0.000004411369,0.0041502104,0.000091967566,0.0009671124,0.0001981088,0.000009839232,0.00011005937,0.00070780626],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781674,0.000016863567,0.00055397395,0.00045356175,0.00050354615,0.0006553422],"domain_scores_gemma":[0.99923956,0.000056343593,0.00013522977,0.00018210878,0.00021093598,0.00017583538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063807925,0.00039236015,0.00050582096,0.00021286512,0.00014823713,0.00025138637,0.00039499515,0.0002018888,0.000038263664],"category_scores_gemma":[0.00022291658,0.0003716716,0.00016706366,0.0002777892,0.00009093976,0.00046407207,0.00003717769,0.00040630324,0.000114600894],"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":[0.0001620208,0.00030463355,0.18928626,0.0019352682,0.00081434863,0.000009679184,0.003705204,0.0025104452,0.667687,0.041470334,0.03040227,0.06171254],"study_design_scores_gemma":[0.0010579493,0.00005776579,0.0027235702,0.00009978957,0.000043846117,0.000064881875,0.00019444783,0.9758509,0.00012501099,0.0008463527,0.01845585,0.00047965132],"about_ca_topic_score_codex":0.000030753985,"about_ca_topic_score_gemma":0.000004423832,"teacher_disagreement_score":0.97334045,"about_ca_system_score_codex":0.0001651591,"about_ca_system_score_gemma":0.00002315965,"threshold_uncertainty_score":0.9998735},"labels":[],"label_agreement":null},{"id":"W2036649647","doi":"10.3182/20110828-6-it-1002.02911","title":"On the Swing-Up of the Pendubot Using Virtual Holonomic Constrains","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Swing; Holonomic constraints; Constraint (computer-aided design); Holonomic; Control theory (sociology); Controller (irrigation); Computer science; Engineering; Control engineering; Physics; Control (management); Classical mechanics; Artificial intelligence; Mechanical engineering","score_opus":0.02288648566235972,"score_gpt":0.19068224705202214,"score_spread":0.1677957613896624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036649647","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":[0.9887035,0.000039586408,0.0004434245,0.000058958474,0.000656604,0.00021711848,0.000009749093,0.00007804253,0.009793015],"genre_scores_gemma":[0.9996159,0.0000035219466,0.000064400076,0.00005919939,0.000067713365,0.000010814422,1.7831893e-7,0.000026326052,0.00015194021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992533,0.000006251115,0.00023658785,0.00013319499,0.00015410675,0.00021656146],"domain_scores_gemma":[0.9996621,0.00003737346,0.00008694401,0.00012745654,0.00004499543,0.00004112701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021724413,0.00014092716,0.00018359702,0.000028711778,0.00008939145,0.00003488032,0.0003835656,0.00007544351,0.00004929711],"category_scores_gemma":[0.000058416852,0.00008623833,0.0001120432,0.00009575213,0.00008077972,0.000078802135,0.00005367104,0.00018544725,0.000017809078],"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":[0.000080322214,0.00010366484,0.0051370845,0.00014628815,0.00040156365,0.000002237731,0.0053603747,0.0013412468,0.20799822,0.7680453,0.0019135488,0.009470136],"study_design_scores_gemma":[0.0013999451,0.0003551612,0.009112776,0.00048662495,0.00015331586,0.00004281589,0.0036260192,0.94322354,0.027080566,0.0126571795,0.0010928573,0.00076918345],"about_ca_topic_score_codex":0.000057075064,"about_ca_topic_score_gemma":0.000005929458,"teacher_disagreement_score":0.9418823,"about_ca_system_score_codex":0.00005308826,"about_ca_system_score_gemma":0.000018394361,"threshold_uncertainty_score":0.3516697},"labels":[],"label_agreement":null},{"id":"W2038068522","doi":"10.3182/20050703-6-cz-1902.00010","title":"ON THE HERMITE SERIES APPROACH TO NONPARAMETRIC IDENTIFICATION OF HAMMERSTEIN SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université de Montréal; Concordia University","funders":"","keywords":"Parameterized complexity; Nonparametric statistics; Convergence (economics); Identification (biology); Series (stratigraphy); Nonlinear system; Hermite polynomials; Mathematics; Control theory (sociology); System identification; Mathematical optimization; Applied mathematics; Nonlinear system identification; Computer science; Algorithm; Data modeling; Artificial intelligence; Econometrics","score_opus":0.008928781776166446,"score_gpt":0.19122553762972416,"score_spread":0.18229675585355773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038068522","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":[0.97843355,0.00079148106,0.0036968067,0.00038668787,0.00044918232,0.001078578,0.000014697802,0.00026449526,0.014884545],"genre_scores_gemma":[0.99599427,0.000017800368,0.00015598575,0.00001618942,0.0001810355,0.0002348287,0.0000036942356,0.000029384635,0.0033668296],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988144,0.000008434431,0.0004732436,0.00021527303,0.00029208336,0.00019654895],"domain_scores_gemma":[0.9994067,0.00003375626,0.00013047855,0.00019392229,0.00018002736,0.000055128698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004616473,0.0001481234,0.00020944553,0.00023461036,0.00008522344,0.00021050184,0.00024966703,0.00006992448,0.000005605493],"category_scores_gemma":[0.00013592262,0.000118611904,0.000061818406,0.0006560775,0.000025685731,0.0003349277,0.00001848807,0.00009803814,0.00014064452],"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":[0.000110723435,0.00037185263,0.0029842155,0.0021646614,0.00045984497,3.7651648e-7,0.009456352,0.09827592,0.57022125,0.16916022,0.09845571,0.04833884],"study_design_scores_gemma":[0.00070809096,0.00016960433,0.024499368,0.00032904497,0.00012269412,0.000029527939,0.0056679747,0.82265276,0.078951925,0.00030457528,0.06559559,0.0009688261],"about_ca_topic_score_codex":0.00004296825,"about_ca_topic_score_gemma":0.0000033104889,"teacher_disagreement_score":0.72437686,"about_ca_system_score_codex":0.000096682226,"about_ca_system_score_gemma":0.000006958869,"threshold_uncertainty_score":0.4836853},"labels":[],"label_agreement":null},{"id":"W2038150113","doi":"10.3182/20090706-3-fr-2004.00275","title":"Identification of NARX Hammerstein Models Based on Large Scale Support Vector Machine Regression","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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 Calgary","funders":"","keywords":"Nonlinear autoregressive exogenous model; Support vector machine; Nonlinear system; System identification; Control theory (sociology); Scale (ratio); Identification (biology); Mathematics; Nonlinear regression; Autoregressive model; Selection (genetic algorithm); Model selection; Applied mathematics; Algorithm; Computer science; Regression analysis; Artificial intelligence; Statistics; Data mining; Measure (data warehouse); Control (management); Physics","score_opus":0.007129371823666675,"score_gpt":0.21274620716988596,"score_spread":0.20561683534621927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038150113","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":[0.9590945,0.0005518115,0.030438738,0.00063139974,0.00066407566,0.00090120255,0.000108149274,0.0006964984,0.0069136117],"genre_scores_gemma":[0.99872047,0.000017102839,0.00016340731,0.000032180345,0.000088263456,0.000028949027,0.000037215792,0.00002763858,0.0008848051],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986612,0.0000065506197,0.0004913987,0.00026465152,0.00033330487,0.00024288092],"domain_scores_gemma":[0.9993868,0.000010560644,0.00017105132,0.00018999516,0.00016882423,0.00007281089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036803915,0.00017969038,0.0002557288,0.00019692093,0.00008091008,0.000076903976,0.00017228018,0.00010799793,0.00003352155],"category_scores_gemma":[0.000029278288,0.00017008677,0.00009661263,0.00023989375,0.00001502645,0.00039965703,0.000009191627,0.000117733034,0.000037475107],"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":[0.00014746339,0.00038190084,0.003348764,0.0005859265,0.000047667487,0.000001770905,0.0017778799,0.014858392,0.93135583,0.0022139964,0.018329395,0.026951026],"study_design_scores_gemma":[0.0005331184,0.000089984824,0.0070836833,0.0001258658,0.000022521577,0.0000014208198,0.00010950275,0.9449003,0.04567974,0.00030718592,0.0009647872,0.00018190862],"about_ca_topic_score_codex":0.0000147855635,"about_ca_topic_score_gemma":0.000007942366,"teacher_disagreement_score":0.9300419,"about_ca_system_score_codex":0.00008030498,"about_ca_system_score_gemma":0.000013608907,"threshold_uncertainty_score":0.69359374},"labels":[],"label_agreement":null},{"id":"W2041826286","doi":"10.3182/20090630-4-es-2003.00108","title":"A Framework for Optimal Design of Alarm Systems","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":112,"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; Constant false alarm rate; Manual fire alarm activation; Process (computing); Fault detection and isolation; Computer science; Filter (signal processing); Operator (biology); Fault (geology); False alarm; Real-time computing; Reliability engineering; Engineering; Artificial intelligence; Computer vision","score_opus":0.015407437482945678,"score_gpt":0.23778512047269054,"score_spread":0.22237768298974486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041826286","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":[0.10770538,0.002260656,0.8841897,0.00011592189,0.0011087423,0.0014521563,0.000015637874,0.0010390169,0.002112762],"genre_scores_gemma":[0.98506415,0.000018970804,0.014259158,0.000021944426,0.00024263446,0.0001241033,7.1875576e-7,0.000026894379,0.00024140615],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991389,0.0000034603127,0.00029559946,0.00015439728,0.00015065825,0.0002569727],"domain_scores_gemma":[0.99962276,0.000044406526,0.00006866201,0.00007384023,0.00012230188,0.00006803788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019178841,0.00015204711,0.00028568495,0.00009094938,0.000047596295,0.00007381741,0.00014156399,0.00015158817,0.000005537711],"category_scores_gemma":[0.00009009334,0.0001506458,0.00008227758,0.00016493547,0.000015509353,0.00014376285,0.0000048070715,0.000108107444,0.000011324301],"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":[0.00080567534,0.00031270948,0.001459379,0.0037865213,0.00092170417,0.0000064883257,0.0071031773,0.34916154,0.39511073,0.10828959,0.05259841,0.08044406],"study_design_scores_gemma":[0.00054308027,0.00037360334,0.00018717941,0.00021921894,0.000033960358,0.000018489382,0.0006762063,0.97893584,0.008861293,0.0011300589,0.00874237,0.00027868763],"about_ca_topic_score_codex":0.0000057100006,"about_ca_topic_score_gemma":8.892677e-8,"teacher_disagreement_score":0.8773588,"about_ca_system_score_codex":0.00004121214,"about_ca_system_score_gemma":0.000009563183,"threshold_uncertainty_score":0.61431575},"labels":[],"label_agreement":null},{"id":"W2042621986","doi":"10.3182/20020721-6-es-1901.00645","title":"ADAPTIVE EXTREMUM SEEKING CONTROL OF NONLINEAR DYNAMIC SYSTEMS WITH PARAMETRIC UNCERTAINTIES","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Parametric statistics; Nonlinear system; Controller (irrigation); Set (abstract data type); Adaptive control; Inverse; Function (biology); Mathematical optimization; Optimal control; Control (management); Engineering; Computer science; Mathematics; Artificial intelligence","score_opus":0.009801575328370973,"score_gpt":0.18385187086874583,"score_spread":0.17405029554037485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042621986","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":[0.6038926,0.044061247,0.30798838,0.00019444697,0.0023371982,0.004019395,0.0001976353,0.0042293062,0.033079755],"genre_scores_gemma":[0.9974829,0.000091344504,0.0012859018,0.000011046555,0.00017295741,0.00010475692,0.0000025882227,0.00012429697,0.0007241942],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977178,0.000018006738,0.000645648,0.00041065997,0.0005781948,0.0006296901],"domain_scores_gemma":[0.99881256,0.00015390264,0.00028410647,0.00022360266,0.00039314386,0.00013270247],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002738645,0.00044362913,0.00081036135,0.0004884801,0.000099786885,0.00015684361,0.00036644694,0.00019002751,0.000022831922],"category_scores_gemma":[0.00010725793,0.00039687793,0.00012246847,0.00089508254,0.00013584743,0.00043973763,0.000028065357,0.00031940825,0.000045513752],"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":[0.00094513054,0.0010042181,0.27978826,0.011836202,0.0075796563,0.00018898015,0.018800536,0.25152496,0.3668338,0.0040384405,0.0091933785,0.04826641],"study_design_scores_gemma":[0.0012223645,0.0002338471,0.0005052336,0.00047382797,0.00010911033,0.000055180437,0.0013080365,0.99435335,0.000057339596,0.000021474036,0.0012040484,0.0004562096],"about_ca_topic_score_codex":0.00015620212,"about_ca_topic_score_gemma":0.000018735736,"teacher_disagreement_score":0.74282837,"about_ca_system_score_codex":0.00023806082,"about_ca_system_score_gemma":0.000015649133,"threshold_uncertainty_score":0.9998483},"labels":[],"label_agreement":null},{"id":"W2042814539","doi":"10.3182/20120711-3-be-2027.00117","title":"Fault Tolerant Control of Variable-Speed Variable-Pitch Wind Turbines: a Subspace Predictive Control Approach","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Wind Turbine 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 Calgary","funders":"","keywords":"Wind power; Turbine; Control theory (sociology); Subspace topology; Model predictive control; Offshore wind power; Robustness (evolution); Variable (mathematics); Engineering; Variable speed wind turbine; Control engineering; Fault (geology); Pitch control; Fault tolerance; Computer science; Control (management); Reliability engineering; Artificial intelligence; Mathematics; Permanent magnet synchronous generator","score_opus":0.0063801899622787,"score_gpt":0.18400907288726545,"score_spread":0.17762888292498674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042814539","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":[0.5965432,0.012312468,0.28142902,0.00029757284,0.004068791,0.007382274,0.0009045488,0.0032297,0.093832396],"genre_scores_gemma":[0.99497104,0.000011916512,0.0024491535,0.00009227215,0.0014757821,0.00018849836,0.000020639118,0.00017673177,0.0006139838],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961889,0.000044616118,0.0010364848,0.0005633333,0.00077349413,0.0013931668],"domain_scores_gemma":[0.9979034,0.0002026184,0.00036697218,0.00036623358,0.00070187624,0.0004588992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010543829,0.00074800337,0.0014310994,0.00030136842,0.00013532047,0.00013492371,0.0005911821,0.0004972871,0.000078618265],"category_scores_gemma":[0.0003575754,0.00069853035,0.00022047541,0.00080157333,0.00013623768,0.001202814,0.000058314017,0.00060057844,0.000044987588],"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":[0.0020124542,0.0016527687,0.3549857,0.0057412693,0.0063538337,0.000008988181,0.015800837,0.22150315,0.34465054,0.021554943,0.02475473,0.000980789],"study_design_scores_gemma":[0.010770466,0.0002728162,0.011846048,0.0003461536,0.00070784986,0.00011649013,0.0014777019,0.9615962,0.0019878477,0.00020930257,0.009460301,0.0012088334],"about_ca_topic_score_codex":0.00015994057,"about_ca_topic_score_gemma":7.1478445e-7,"teacher_disagreement_score":0.74009305,"about_ca_system_score_codex":0.00024343446,"about_ca_system_score_gemma":0.000086624575,"threshold_uncertainty_score":0.9995466},"labels":[],"label_agreement":null},{"id":"W2045901852","doi":"10.1016/s1474-6670(17)38783-9","title":"Model Identification and Error Covariance Matrix Estimation from Noisy Data Using PCA","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Principal component analysis; Covariance matrix; Identification (biology); Dimensionality reduction; Curse of dimensionality; Covariance; Multidimensional scaling; Multivariate statistics; Computer science; Pattern recognition (psychology); Errors-in-variables models; Data mining; Algorithm; Mathematics; Statistics; Artificial intelligence","score_opus":0.03393785141085938,"score_gpt":0.2759770117338824,"score_spread":0.24203916032302303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045901852","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":[0.75232893,0.0004477784,0.24607894,0.00010390822,0.00025480188,0.00020779573,0.000067048735,0.0003982263,0.00011258554],"genre_scores_gemma":[0.9809173,0.000019109793,0.01877022,0.000014133801,0.000099498604,0.000016209493,0.00003435328,0.000029038833,0.000100149875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913573,0.0000016422333,0.00026246166,0.00028412248,0.00016075301,0.00015526138],"domain_scores_gemma":[0.9996298,0.000006911067,0.00007317886,0.00017539777,0.000057300218,0.000057426805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013454384,0.00013387804,0.00015030162,0.000068864574,0.000105853695,0.00022056294,0.0001869633,0.00008924958,0.0000044352637],"category_scores_gemma":[0.00005320205,0.00014930694,0.000017562015,0.0001376793,0.000023750898,0.0009482692,0.000042547286,0.00009744685,0.000031123185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020478124,0.000019800165,0.0004237343,0.00019085748,0.00006688062,0.0000010063582,0.0011220808,0.6228561,0.36740014,0.0008102756,0.00047620747,0.0066124713],"study_design_scores_gemma":[0.00041524044,0.0000054313673,0.00048341128,0.00006202311,0.000032854474,0.000009802153,0.00016665146,0.9941924,0.0026890698,0.00157743,0.00020218534,0.00016346449],"about_ca_topic_score_codex":0.0002520502,"about_ca_topic_score_gemma":0.000024648523,"teacher_disagreement_score":0.37133637,"about_ca_system_score_codex":0.00009295475,"about_ca_system_score_gemma":0.000018516575,"threshold_uncertainty_score":0.608856},"labels":[],"label_agreement":null},{"id":"W2046327363","doi":"10.3182/20110828-6-it-1002.03754","title":"Characterization of Fixed Modes in a Structurally Constrained Control System with Input and Output Delays","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Control (management); Control system; Computer science; Mathematics; Control engineering; Engineering; Artificial intelligence","score_opus":0.008715230671542642,"score_gpt":0.1619731819777862,"score_spread":0.15325795130624356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046327363","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":[0.9937191,0.000093374394,0.0038447704,0.000012621457,0.000049133065,0.0004512489,0.000027643255,0.00016525504,0.0016368421],"genre_scores_gemma":[0.9993197,0.0000044620615,0.0005465491,0.000008523819,0.000027474796,0.00005620993,0.0000030446522,0.000020653804,0.000013413463],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991319,0.000007654073,0.0003453772,0.0001800112,0.00013260978,0.0002024535],"domain_scores_gemma":[0.99961996,0.000019675208,0.00009964714,0.0000668724,0.0001375218,0.000056300847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014346252,0.00016981488,0.00037086027,0.00010919738,0.000026041827,0.0000314648,0.000097023025,0.000091623944,0.0000039686997],"category_scores_gemma":[0.00002086743,0.00014503999,0.000026367386,0.00012773302,0.00008742508,0.00029530496,0.000010184317,0.00008772695,8.567977e-7],"study_design_candidate":"observational","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":[0.0009025477,0.000056023226,0.5030773,0.003814473,0.00041558404,0.000012575334,0.02096543,0.00065467134,0.449129,0.012106342,0.000008662974,0.008857379],"study_design_scores_gemma":[0.006202256,0.0004886809,0.35175493,0.0010670146,0.00012781715,0.000107719046,0.0084399395,0.61489147,0.015942583,0.00016979099,0.00003936361,0.0007684547],"about_ca_topic_score_codex":0.00011390259,"about_ca_topic_score_gemma":0.00003496318,"teacher_disagreement_score":0.6142368,"about_ca_system_score_codex":0.000048848822,"about_ca_system_score_gemma":0.00001973782,"threshold_uncertainty_score":0.5914559},"labels":[],"label_agreement":null},{"id":"W2046348255","doi":"10.3182/20080706-5-kr-1001.00083","title":"On Convergence Rate of Second-Order Sliding Mode Control Algorithms","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Asymptote; Control theory (sociology); Frequency domain; Controller (irrigation); Rate of convergence; Transient (computer programming); Convergence (economics); Nyquist plot; Bode plot; Mathematics; Oscillation (cell signaling); Time domain; Function (biology); Amplitude; Algorithm; Computer science; Transfer function; Mathematical analysis; Engineering; Physics; Control (management); Telecommunications; Optics","score_opus":0.013140077260889756,"score_gpt":0.21887009293418377,"score_spread":0.20573001567329402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046348255","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":[0.9747068,0.0005699585,0.016774405,0.00005923236,0.000666848,0.0004562298,0.000051986714,0.00046248458,0.006252029],"genre_scores_gemma":[0.9967843,0.00004528559,0.0015566356,0.000089437905,0.00023443918,0.000043350377,0.0000027135331,0.00007088916,0.0011729415],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986014,0.000010396575,0.00045588164,0.0002921565,0.00023973352,0.00040045494],"domain_scores_gemma":[0.99916184,0.00010175923,0.00013551205,0.00011346523,0.00036728018,0.00012012944],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019522525,0.00029029843,0.0005048888,0.0001505678,0.00009216216,0.000021667733,0.00023443713,0.0001305801,0.00012817691],"category_scores_gemma":[0.00016275937,0.00029196005,0.000107102984,0.00025460744,0.000075442826,0.00032607518,0.000024128234,0.0002325262,0.000118327946],"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":[0.000729538,0.0004756217,0.0585865,0.0020045082,0.0020932301,0.00015675477,0.008548862,0.05235904,0.79859847,0.013440347,0.055170678,0.007836438],"study_design_scores_gemma":[0.001973352,0.00021515148,0.0051745614,0.00014300985,0.00003401799,0.000041448915,0.00021980451,0.96417177,0.023100052,0.00023398767,0.004156406,0.00053643616],"about_ca_topic_score_codex":0.000026057554,"about_ca_topic_score_gemma":0.000004627971,"teacher_disagreement_score":0.9118127,"about_ca_system_score_codex":0.00008034158,"about_ca_system_score_gemma":0.00003538086,"threshold_uncertainty_score":0.99995327},"labels":[],"label_agreement":null},{"id":"W2047272581","doi":"10.3182/20060912-3-de-2911.00009","title":"A NOVEL MANIPULATOR FOR PROSTATE BRACHYTHERAPY: DESIGN AND PRELIMINARY RESULTS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","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":"Western University","funders":"","keywords":"Brachytherapy; Prostate cancer; Prostate brachytherapy; Flexibility (engineering); Prostate; Dosimetry; Prostate gland; Percutaneous; Computer science; Medicine; Radiation therapy; Surgery; Cancer; Radiology; Mathematics","score_opus":0.013018320179992457,"score_gpt":0.25382798119979544,"score_spread":0.24080966101980297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047272581","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":[0.13008751,0.00040062855,0.8656049,0.00035262294,0.000053828735,0.0019894494,0.00010767647,0.00035282926,0.0010505854],"genre_scores_gemma":[0.5694842,0.000010699348,0.4273553,0.000051340703,0.00034308108,0.00046631126,0.000023369219,0.00006514338,0.0022006175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886227,0.0000033667068,0.0002781212,0.00041308455,0.00010965235,0.00033347952],"domain_scores_gemma":[0.9994854,0.000056534853,0.00018495966,0.00009294896,0.00012624664,0.00005391829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017532535,0.00022775776,0.00021777638,0.00006768707,0.00016938099,0.000104209146,0.00011950785,0.000055494595,0.000008358712],"category_scores_gemma":[0.00000804367,0.00021677482,0.00006110968,0.00010552575,0.00007538546,0.00037113976,0.000027918579,0.00009671453,8.3081017e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0072371266,0.0012508983,0.07625667,0.0003816617,0.00040170277,0.000002826511,0.003413055,0.0004766502,0.51984745,0.09968006,0.048209496,0.24284238],"study_design_scores_gemma":[0.01732432,0.0069296956,0.029315101,0.0005009598,0.00021436063,0.00006761756,0.00080619915,0.11700041,0.42626303,0.18991914,0.20817417,0.003484999],"about_ca_topic_score_codex":0.0000904107,"about_ca_topic_score_gemma":3.9895346e-7,"teacher_disagreement_score":0.43939665,"about_ca_system_score_codex":0.000028244825,"about_ca_system_score_gemma":0.000023567824,"threshold_uncertainty_score":0.88398206},"labels":[],"label_agreement":null},{"id":"W2047597170","doi":"10.3182/20020721-6-es-1901.01591","title":"INFERENTIAL-LEARNING CONTROL OF QUALITY PROPERTIES IN SEMI-BATCH REACTORS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Partial least squares regression; Process (computing); Computer science; Quality (philosophy); Identification (biology); Process control; Control (management); Product (mathematics); Process engineering; Data mining; Mathematics; Engineering; Artificial intelligence; Machine learning","score_opus":0.016263797418378637,"score_gpt":0.21062781548041015,"score_spread":0.19436401806203152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047597170","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":[0.9905215,0.0007052932,0.00014804643,0.0000622249,0.00022309396,0.00023524156,0.000002482688,0.00038671386,0.007715434],"genre_scores_gemma":[0.99898374,0.00005445882,0.000014300382,0.000012741287,0.000072731775,0.000057367615,5.672298e-7,0.000029984702,0.0007741362],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882704,0.000018976187,0.00048988196,0.00017318086,0.00022333901,0.00026756697],"domain_scores_gemma":[0.9996478,0.000025491248,0.00009969071,0.00006850109,0.00009925195,0.000059296795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024604046,0.00017135215,0.0003786164,0.00014932278,0.000039591534,0.00005274689,0.00012026579,0.0001025489,0.000092055605],"category_scores_gemma":[0.00018836246,0.00016077701,0.000077024044,0.00023775735,0.000038484395,0.00025341962,0.000013180961,0.0002681773,0.000036179845],"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":[0.00009538119,0.00017272169,0.468426,0.0015599068,0.00022960603,0.000003204697,0.009877402,0.005871765,0.48531756,0.00050203834,0.00096829067,0.02697615],"study_design_scores_gemma":[0.0035138212,0.00019334552,0.041796632,0.00046621493,0.000041711137,0.000014641106,0.00420336,0.89838344,0.034761526,0.00007921596,0.015740745,0.0008053273],"about_ca_topic_score_codex":0.00023470433,"about_ca_topic_score_gemma":0.00003681444,"teacher_disagreement_score":0.89251167,"about_ca_system_score_codex":0.00006579736,"about_ca_system_score_gemma":0.0000049838054,"threshold_uncertainty_score":0.65562963},"labels":[],"label_agreement":null},{"id":"W2048727304","doi":"10.3182/20120523-3-ro-2023.00444","title":"Physical Internet Foundations","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":98,"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":"Canada Research Chairs","keywords":"Interconnectivity; The Internet; Sustainability; Encapsulation (networking); Engineering; Business; Computer science; World Wide Web; Computer security","score_opus":0.017409960705431358,"score_gpt":0.2541059909885071,"score_spread":0.23669603028307576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048727304","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":[0.6240746,0.00022608579,0.31015953,0.0016843098,0.0014796258,0.0006754246,0.0000015938061,0.0011638523,0.06053497],"genre_scores_gemma":[0.9815924,0.0000051494576,0.014471381,0.0004185127,0.00055828877,0.00009914552,0.0000023533548,0.000013899573,0.0028388277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99873173,0.000007663658,0.00015911776,0.00031191143,0.0003013293,0.00048823952],"domain_scores_gemma":[0.99942774,0.000029321538,0.000091096874,0.00021223031,0.0000799123,0.00015971497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022700724,0.00015395362,0.00013632722,0.000094432355,0.00009590187,0.00030402365,0.00079438696,0.00003171223,0.0000549401],"category_scores_gemma":[0.00003416627,0.00014735133,0.00007555387,0.00039535706,0.000046628436,0.0015229308,0.0005144881,0.00011870279,0.0007677013],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046371024,0.0003573122,0.028689655,0.000055621033,0.00007411496,0.0000018688775,0.00443153,0.000024753446,0.0005706362,0.704387,0.14939351,0.112009354],"study_design_scores_gemma":[0.0006366324,0.00023699034,0.023238877,0.00007578704,0.0000630831,0.000022620834,0.0002838748,0.37379947,0.0069687427,0.009955074,0.5837528,0.00096604106],"about_ca_topic_score_codex":0.000020135774,"about_ca_topic_score_gemma":0.0000014173058,"teacher_disagreement_score":0.6944319,"about_ca_system_score_codex":0.00010788268,"about_ca_system_score_gemma":0.000017919223,"threshold_uncertainty_score":0.9867503},"labels":[],"label_agreement":null},{"id":"W2049602507","doi":"10.3182/20130904-3-uk-4041.00040","title":"Synthesizing bounded-delay communication protocols for decentralized discrete-event systems","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Bounded function; Computer science; Protocol (science); Domain (mathematical analysis); Upper and lower bounds; Event (particle physics); Control theory (sociology); Distributed computing; Mathematics; Control (management)","score_opus":0.028702015149206332,"score_gpt":0.296202387129088,"score_spread":0.26750037197988163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049602507","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":[0.040200677,0.001487077,0.90989006,0.0015842577,0.0005036598,0.041335955,0.000009911172,0.0012769157,0.003711476],"genre_scores_gemma":[0.84306294,0.000024695108,0.11360587,0.000058638434,0.00009976139,0.042593412,0.0000033502365,0.000037165602,0.0005141765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972627,0.00004790091,0.00077797234,0.0006499579,0.00054870907,0.0007127607],"domain_scores_gemma":[0.99771714,0.00020064926,0.0005133793,0.0006792503,0.0006960736,0.00019348512],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001063878,0.00031395422,0.00045267746,0.00016514886,0.00050570274,0.0021341532,0.0022306652,0.00015916796,0.000009347356],"category_scores_gemma":[0.00033099653,0.0002874848,0.00015171395,0.00040832284,0.00007515391,0.0023027868,0.0003332105,0.00018079378,0.000067178844],"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":[0.00015275225,0.0007544955,0.023443457,0.0053704632,0.00062135776,0.0000056580207,0.016849617,0.0018836668,0.03060778,0.70363665,0.062314317,0.1543598],"study_design_scores_gemma":[0.0009193222,0.00013015857,0.00044440708,0.0012744832,0.000021059055,0.0000561113,0.00061422936,0.95676214,0.0025662936,0.0068358853,0.029718252,0.0006576501],"about_ca_topic_score_codex":0.00018207234,"about_ca_topic_score_gemma":0.0000026865803,"teacher_disagreement_score":0.9548785,"about_ca_system_score_codex":0.0002762198,"about_ca_system_score_gemma":0.00009960815,"threshold_uncertainty_score":0.99995774},"labels":[],"label_agreement":null},{"id":"W2050895525","doi":"10.3182/20130902-3-cn-3020.00051","title":"Average Consensus in Multi-Agent Systems with Non-uniform Time-Varying Delays and Random Packet Losses","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Topology (electrical circuits); Bernoulli's principle; Multi-agent system; Bounded function; Network topology; Mathematics; Network packet; Control theory (sociology); Discretization; Stability (learning theory); Integrator; Computer science; Mathematical optimization; Mathematical analysis; Bandwidth (computing); Engineering","score_opus":0.012433477669195144,"score_gpt":0.21458956808122567,"score_spread":0.20215609041203053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050895525","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":[0.87876666,0.0007382389,0.113569744,0.0005774239,0.00038859816,0.0030769934,0.000029337893,0.00049764814,0.0023553807],"genre_scores_gemma":[0.9896951,0.00002272696,0.008803889,0.000081933285,0.00006208137,0.00034828685,0.0000071127783,0.000036918245,0.0009419543],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715525,0.00003518686,0.00066310994,0.0008368635,0.0005115606,0.0007980421],"domain_scores_gemma":[0.9984212,0.00015809218,0.000363377,0.00032673162,0.0004345631,0.00029604565],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005814868,0.00045015686,0.00068752473,0.00027422621,0.00021541966,0.0012964993,0.0007252768,0.00016126213,0.000014041779],"category_scores_gemma":[0.00014055592,0.00037137602,0.00006821468,0.0005294989,0.00013753073,0.0011635993,0.0002644327,0.00026638468,0.000280873],"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":[0.0012111554,0.002538771,0.7487156,0.005565866,0.0020898378,0.0011928241,0.037048724,0.016433692,0.09621798,0.0077962424,0.039964717,0.041224606],"study_design_scores_gemma":[0.0072420416,0.00015415954,0.0077583655,0.00046506297,0.000021376705,0.00023283984,0.0005190457,0.9818544,0.0005314702,0.000052757423,0.00055569113,0.0006127871],"about_ca_topic_score_codex":0.0011318573,"about_ca_topic_score_gemma":0.000020853728,"teacher_disagreement_score":0.9654207,"about_ca_system_score_codex":0.00016131037,"about_ca_system_score_gemma":0.00009198183,"threshold_uncertainty_score":0.9998738},"labels":[],"label_agreement":null},{"id":"W2051370081","doi":"10.3182/20080706-5-kr-1001.00006","title":"Stability Analysis of a Closed-loop Thermoforming Reheat Process Using an Affine Quadratic Stability Test","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Thermoforming; Stability (learning theory); Control theory (sociology); Process (computing); Temperature control; Mathematics; Scrap; Lyapunov function; Nonlinear system; Computer science; Mechanical engineering; Engineering; Control (management); Physics","score_opus":0.028874456204913867,"score_gpt":0.250194244082488,"score_spread":0.22131978787757417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051370081","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":[0.98404914,0.00017563108,0.013787889,0.000009008514,0.000060579267,0.00060354336,0.00004808709,0.0004909225,0.0007751766],"genre_scores_gemma":[0.99520075,0.000012944162,0.0045665884,0.0000054762886,0.0000654937,0.000056944533,0.00001759688,0.000061604536,0.000012571708],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781203,0.000016555945,0.0008267567,0.00047820882,0.0004196867,0.00044674054],"domain_scores_gemma":[0.99855727,0.00009956974,0.00025196405,0.00031831014,0.0006334306,0.00013946524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040326116,0.0003349987,0.00078909035,0.0002980421,0.00018461648,0.000041760635,0.00027035142,0.00014920718,0.000079237485],"category_scores_gemma":[0.00048499365,0.0003371306,0.00015730059,0.0018177881,0.00014277331,0.0013391256,0.000026490747,0.00018993419,0.0000032897372],"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":[0.0000634032,0.00035707053,0.567496,0.0011273664,0.00053855183,0.000002613893,0.010153839,0.19339941,0.22489664,0.000031205418,0.0000064111755,0.0019274774],"study_design_scores_gemma":[0.00039463546,0.000097090146,0.01848777,0.00005469354,0.0003916317,0.000008788968,0.0020508068,0.9495487,0.028525984,0.00006542292,0.000006890212,0.00036758187],"about_ca_topic_score_codex":0.00009035374,"about_ca_topic_score_gemma":0.00008966547,"teacher_disagreement_score":0.7561493,"about_ca_system_score_codex":0.0002918612,"about_ca_system_score_gemma":0.00006563632,"threshold_uncertainty_score":0.9999081},"labels":[],"label_agreement":null},{"id":"W2051580489","doi":"10.3182/20080706-5-kr-1001.00240","title":"A New Parameter-dependent Approach to Discrete-time Robust H2 Filtering","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Natural Sciences and Engineering Research Council of Canada; Program for New Century Excellent Talents in University; Northeastern University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Discrete time and continuous time; Computer science; Control theory (sociology); Mathematics; Applied mathematics; Algorithm; Mathematical optimization; Statistics; Artificial intelligence; Control (management)","score_opus":0.025631848717479234,"score_gpt":0.22043022787314073,"score_spread":0.1947983791556615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051580489","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":[0.0897589,0.00012970848,0.89396554,0.0007798006,0.00055350934,0.00044301216,0.000012499373,0.0012041776,0.013152843],"genre_scores_gemma":[0.3418819,0.000030014728,0.6491795,0.0004743723,0.0004402855,0.000039416394,0.000009895417,0.00004163813,0.007902966],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972753,0.000012754045,0.00039529274,0.0009831779,0.00061825744,0.0007152429],"domain_scores_gemma":[0.998719,0.000061810555,0.00013056303,0.0004763332,0.0001258267,0.00048647771],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022388219,0.00033568937,0.00036558183,0.00018778312,0.00038851151,0.0005164078,0.001620701,0.00013853467,0.000054725737],"category_scores_gemma":[0.00013832017,0.00031387003,0.00011821769,0.0006372038,0.000050961713,0.0010068013,0.0008313326,0.00030394664,0.00043023337],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014512855,0.0005765069,0.012430985,0.0001987041,0.00020456668,0.00012981611,0.019155677,0.015580237,0.016070364,0.013005866,0.80911535,0.11338681],"study_design_scores_gemma":[0.0021370284,0.000669436,0.012708384,0.00039493042,0.00006271789,0.0020518496,0.00043975754,0.83049715,0.014432103,0.0022911404,0.1307008,0.0036147193],"about_ca_topic_score_codex":0.000109343746,"about_ca_topic_score_gemma":9.656358e-7,"teacher_disagreement_score":0.8149169,"about_ca_system_score_codex":0.000059505244,"about_ca_system_score_gemma":0.0000614307,"threshold_uncertainty_score":0.99993134},"labels":[],"label_agreement":null},{"id":"W2051852906","doi":"10.3182/20070625-5-fr-2916.00098","title":"CONTROL OF MARS GUIDED ENTRY (PART I): ROBUST SELF-SCHEDULING MODAL CONTROL","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NGC Aerospace (Canada)","funders":"","keywords":"Gain scheduling; Control theory (sociology); Modal; Actuator; Scheduling (production processes); Linear fractional transformation; Computer science; Control engineering; Robust control; Atmospheric entry; Mars Exploration Program; Attitude control; Engineering; Control system; Control (management); Aerospace engineering; Artificial intelligence","score_opus":0.005687099375826916,"score_gpt":0.19078227690257393,"score_spread":0.185095177526747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051852906","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":[0.81073934,0.0011630913,0.17450222,0.00024536776,0.0008704972,0.00081041345,0.00005711357,0.001069696,0.010542264],"genre_scores_gemma":[0.99390936,0.00007236505,0.005082828,0.00014243342,0.00043119377,0.00004069973,0.000004196422,0.000086658925,0.00023028575],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978343,0.0000053579015,0.0006851388,0.0003305423,0.00039106776,0.00075359654],"domain_scores_gemma":[0.99905765,0.00008490836,0.00016903758,0.00016599281,0.0003049992,0.0002173929],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062297453,0.00035962652,0.00058079243,0.00020242886,0.0000861278,0.00008135733,0.0003185061,0.00023886535,0.00005716022],"category_scores_gemma":[0.000097211734,0.00037968904,0.00020084565,0.00026742002,0.00006069079,0.00027374417,0.00002846672,0.00030372493,0.000024713489],"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":[0.0009089854,0.00063086074,0.37175924,0.0022229694,0.0037373381,0.00008167506,0.0025816164,0.14431627,0.41812646,0.018746993,0.014795437,0.022092167],"study_design_scores_gemma":[0.0040637674,0.00008282488,0.0039743204,0.000102284095,0.00017679033,0.000023594666,0.00038018406,0.98393935,0.0023272343,0.00022358511,0.00422731,0.00047875778],"about_ca_topic_score_codex":0.000036834823,"about_ca_topic_score_gemma":0.000021591639,"teacher_disagreement_score":0.8396231,"about_ca_system_score_codex":0.00013427294,"about_ca_system_score_gemma":0.00003553979,"threshold_uncertainty_score":0.99986553},"labels":[],"label_agreement":null},{"id":"W2052949763","doi":"10.3182/20060517-3-fr-2903.00029","title":"USING JOHNSON'S ALGORITHM TO APPROXIMATE SOME FLOW SHOP SCHEDULING PROBLEMS WITH UNAVAILABILITY PERIODS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Scheduling and Optimization Algorithms","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":"École de Technologie Supérieure","funders":"","keywords":"Unavailability; Job shop scheduling; Flow shop scheduling; Mathematical optimization; Scheduling (production processes); Computer science; Focus (optics); Heuristic; Flow (mathematics); Algorithm; Time complexity; Mathematics","score_opus":0.01298295494278786,"score_gpt":0.21975555999919244,"score_spread":0.20677260505640457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052949763","genre_codex":"empirical","genre_gemma":"methods","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":[0.5500672,0.000829604,0.44393492,0.00015419774,0.00043345062,0.00083046395,0.00003208413,0.0021362575,0.0015818332],"genre_scores_gemma":[0.13248578,0.000025556232,0.8664372,0.000053514617,0.0005045291,0.00009150554,0.000018788505,0.00014110669,0.0002420216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977358,0.000007463277,0.00045808993,0.000608286,0.00045188807,0.0007384762],"domain_scores_gemma":[0.99911845,0.000017890443,0.000082988125,0.00020546351,0.00034623934,0.00022895368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033976632,0.00045619634,0.0004269068,0.0002602422,0.0002757647,0.00043406116,0.0002818478,0.0001860814,0.00005515234],"category_scores_gemma":[0.000046910365,0.0004376656,0.000085214386,0.0008303326,0.00009405962,0.00073683873,0.00007112591,0.0003275936,0.000046164758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014538942,0.00007306338,0.0038063044,0.00030314253,0.000056324247,0.0000041165013,0.00063449034,0.9814469,0.0025267892,0.00014944487,0.00024387197,0.010740991],"study_design_scores_gemma":[0.00047542973,0.00006586992,0.0002820012,0.00016347297,0.0000415195,0.00003310118,0.00029697068,0.9926406,0.0041770544,0.00022511347,0.0009633516,0.00063549867],"about_ca_topic_score_codex":0.000063519605,"about_ca_topic_score_gemma":0.000006276314,"teacher_disagreement_score":0.42250228,"about_ca_system_score_codex":0.00024042347,"about_ca_system_score_gemma":0.00005650448,"threshold_uncertainty_score":0.99980754},"labels":[],"label_agreement":null},{"id":"W2053792848","doi":"10.3182/20120710-4-sg-2026.00111","title":"Optimal LQ-Control of a PDAE Model of a Catalytic Distillation Process","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Ode; Partial differential equation; Ordinary differential equation; Mathematical analysis; Riccati equation; Algebraic Riccati equation; Hyperbolic partial differential equation; Applied mathematics; Differential equation","score_opus":0.007276124508684639,"score_gpt":0.21234352198374618,"score_spread":0.20506739747506153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053792848","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":[0.6147015,0.00057713996,0.3822799,0.000011787884,0.0000906364,0.00043269616,0.000030267063,0.00020315514,0.0016728969],"genre_scores_gemma":[0.9935449,0.000008204665,0.006174899,0.00000352196,0.00008739667,0.00006582842,0.000006071827,0.00004576541,0.00006344008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989143,0.0000022861536,0.00042656364,0.00013362704,0.0002283742,0.00029487655],"domain_scores_gemma":[0.9993437,0.000018493995,0.00019739014,0.0000901657,0.00027201124,0.00007826831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013670925,0.00017271936,0.00034199198,0.00011780587,0.000026997735,0.000011914643,0.0001275204,0.000094017865,0.0000041684057],"category_scores_gemma":[0.00010701725,0.00017753105,0.00006125469,0.00021687687,0.000042294225,0.00076911255,0.000013600489,0.00008132892,0.000003974136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033388722,0.000029927234,0.013343085,0.0006341206,0.000054892404,3.936933e-8,0.0017131078,0.96304,0.01931188,0.00062007364,0.000026906133,0.0011925829],"study_design_scores_gemma":[0.00057052163,0.000024030835,0.0010784199,0.00007626916,0.000057276884,0.0000024479612,0.0001856918,0.9883984,0.009292498,0.00013249017,0.000015147551,0.00016682883],"about_ca_topic_score_codex":0.0000063143652,"about_ca_topic_score_gemma":5.934948e-7,"teacher_disagreement_score":0.37884337,"about_ca_system_score_codex":0.00006406424,"about_ca_system_score_gemma":0.000017983557,"threshold_uncertainty_score":0.7239506},"labels":[],"label_agreement":null},{"id":"W2054304151","doi":"10.3182/20090630-4-es-2003.00167","title":"Plant wide fault identification using One-class Support Vector Machines","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Support vector machine; Principal component analysis; Benchmark (surveying); Metric (unit); Identification (biology); Fault (geology); Fault detection and isolation; Kernel (algebra); Process (computing); Kernel principal component analysis; Sensitivity (control systems); Pattern recognition (psychology); Artificial intelligence; Class (philosophy); Measure (data warehouse); Computer science; Data mining; Mathematics; Kernel method; Engineering","score_opus":0.01230196606279981,"score_gpt":0.22513500513723148,"score_spread":0.21283303907443166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054304151","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":[0.9900299,0.00028292235,0.0014267891,0.00026996393,0.0009142368,0.0003558387,0.000026476107,0.001216225,0.0054776864],"genre_scores_gemma":[0.9983817,0.000021800548,0.0002402235,0.00010560083,0.00029380718,0.000021035701,0.000012530271,0.00003412938,0.0008891816],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987618,0.0000046895975,0.00038815825,0.00025374928,0.00027320845,0.0003184205],"domain_scores_gemma":[0.99959356,0.000012653964,0.00008907651,0.00010687119,0.000094064686,0.000103784616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016385216,0.00020919366,0.0002491582,0.00015084121,0.00011459593,0.00019023378,0.00017064298,0.00012125271,0.00005068969],"category_scores_gemma":[0.00006079806,0.00022018193,0.00008126952,0.00023211342,0.000019265392,0.00042061077,0.000010496969,0.00016617814,0.00012753914],"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":[0.00005348844,0.00007743194,0.005361186,0.00026104058,0.00013139712,0.0000071105555,0.0011913336,0.0016545511,0.9464063,0.0008192044,0.0116364015,0.032400552],"study_design_scores_gemma":[0.00074289576,0.00011804981,0.03272192,0.00011962451,0.00007509907,0.000096726544,0.00031796642,0.89886564,0.041097246,0.00037284277,0.024797289,0.00067471585],"about_ca_topic_score_codex":0.000042341828,"about_ca_topic_score_gemma":0.000011125955,"teacher_disagreement_score":0.9053091,"about_ca_system_score_codex":0.00012340087,"about_ca_system_score_gemma":0.000014130531,"threshold_uncertainty_score":0.89787585},"labels":[],"label_agreement":null},{"id":"W2054468171","doi":"10.3182/20130703-3-fr-4038.00059","title":"IDA-PBC under sampling for torque control of PMSM","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Passivity; Control theory (sociology); Controller (irrigation); Context (archaeology); Torque; Control engineering; Sampling (signal processing); Computer science; Stability (learning theory); Control (management); Nonlinear system; Engineering; Artificial intelligence","score_opus":0.009250917502878408,"score_gpt":0.2050595301176288,"score_spread":0.1958086126147504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054468171","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":[0.9001355,0.00055334734,0.09460418,0.00040646616,0.00030807787,0.0011675971,0.000035371737,0.00036497964,0.0024244636],"genre_scores_gemma":[0.9976592,0.0000050283893,0.001620986,0.000039766903,0.00015921824,0.00022040687,0.000002601211,0.000031667245,0.00026111718],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895275,0.0000026184596,0.00037099363,0.00019248873,0.00014926592,0.0003318758],"domain_scores_gemma":[0.9994119,0.00011711418,0.00005812057,0.00008563034,0.00022802695,0.000099254175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015795176,0.00016724244,0.00036938427,0.000052140884,0.000050918472,0.00007073708,0.00016383846,0.000116376126,0.00006682306],"category_scores_gemma":[0.00011034973,0.00015512761,0.0001382678,0.00008019429,0.00004810607,0.00024201699,0.000016212196,0.00009655887,0.000031262905],"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":[0.00018048439,0.00026799252,0.098666,0.0058539077,0.0010173763,4.2654082e-7,0.0027742332,0.0096067,0.7338681,0.03833875,0.0076143877,0.10181161],"study_design_scores_gemma":[0.0025845426,0.00020491905,0.037206266,0.00017136346,0.00007560604,0.0000056237627,0.0007595779,0.92922443,0.0018172696,0.017735718,0.009582441,0.0006322203],"about_ca_topic_score_codex":0.000110003086,"about_ca_topic_score_gemma":0.000021044132,"teacher_disagreement_score":0.9196178,"about_ca_system_score_codex":0.00006148892,"about_ca_system_score_gemma":0.000009985749,"threshold_uncertainty_score":0.632592},"labels":[],"label_agreement":null},{"id":"W2054808614","doi":"10.3182/20050703-6-cz-1902.00495","title":"FINITE HORIZON ROBUST MODEL PREDICTIVE CONTROL USING LINEAR MATRIX INEQUALITIES","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Control theory (sociology); Horizon; Matrix (chemical analysis); Mathematical optimization; Linear matrix inequality; Stability (learning theory); Robust control; Control (management); Computer science; Mathematics; Engineering; Control system; Artificial intelligence; Machine learning","score_opus":0.01602586096557283,"score_gpt":0.2350650467211813,"score_spread":0.2190391857556085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054808614","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":[0.06704751,0.0007993738,0.92815894,0.00007850366,0.00018297863,0.00051852607,0.000076046665,0.0011313746,0.0020067783],"genre_scores_gemma":[0.93169624,0.000048677037,0.066739656,0.00003866787,0.0007286496,0.000079889265,0.000009091715,0.000105468964,0.0005536599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984412,0.00000743494,0.0004894431,0.0003015609,0.00028918197,0.00047118103],"domain_scores_gemma":[0.9992963,0.0000483201,0.00013172657,0.00011936449,0.00028964377,0.000114616625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017631969,0.00031907143,0.00039517888,0.00018123594,0.00012824532,0.00009290113,0.0001836404,0.00018322698,0.000013129755],"category_scores_gemma":[0.00013677706,0.00034704836,0.000084991916,0.00022643735,0.000044391734,0.0012099285,0.000031010866,0.00023620045,0.000028318678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036317553,0.000012032981,0.00044536105,0.00009741546,0.000062509775,5.182505e-7,0.00062410726,0.99381953,0.0033389346,0.0005969746,0.00021926568,0.00074702257],"study_design_scores_gemma":[0.0009927639,0.00006262933,0.000016119935,0.000087413086,0.00005964023,0.0000065431577,0.00034133872,0.9966014,0.00071100186,0.00022838527,0.0005406931,0.00035208426],"about_ca_topic_score_codex":0.000011923278,"about_ca_topic_score_gemma":0.000003341937,"teacher_disagreement_score":0.86464876,"about_ca_system_score_codex":0.00029564765,"about_ca_system_score_gemma":0.000031058342,"threshold_uncertainty_score":0.99989814},"labels":[],"label_agreement":null},{"id":"W2055043794","doi":"10.3182/20120829-3-it-4022.00035","title":"Further Results on Virtual Holonomic Constraints","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Dynamics of Mobile Robots","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 Toronto","funders":"","keywords":"Holonomic constraints; Holonomic; Control theory (sociology); Mathematics; Dimension (graph theory); Inverted pendulum; Control (management); Computer science; Pure mathematics; Physics; Classical mechanics; Artificial intelligence","score_opus":0.007625815248501197,"score_gpt":0.20034172882610327,"score_spread":0.19271591357760207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055043794","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":[0.944577,0.0002392029,0.00021542344,0.00020082547,0.00072535523,0.00019276362,0.000038739483,0.0005716725,0.05323902],"genre_scores_gemma":[0.99843293,0.000030899155,0.00031414197,0.000080231664,0.00042333597,0.000028752922,0.0000061433266,0.000044077526,0.00063950324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989838,0.0000025389236,0.00022652822,0.00018007633,0.00013614327,0.0004709365],"domain_scores_gemma":[0.9996217,0.000038597253,0.000040963743,0.000099849494,0.000037605572,0.000161271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019562787,0.00020167921,0.00019240705,0.000091777445,0.000050635223,0.000055365468,0.0001555236,0.00011351139,0.00005714435],"category_scores_gemma":[0.00006633604,0.00019845577,0.000070848015,0.00007756242,0.00007644015,0.00029845355,0.000030989213,0.0001938864,0.00056437595],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007294604,0.0005510811,0.0419462,0.00022359987,0.00059652206,0.000012448297,0.011409352,0.016080858,0.03941991,0.030747758,0.06384304,0.7944398],"study_design_scores_gemma":[0.018519634,0.001935612,0.34706286,0.0007714307,0.00032664207,0.0002711621,0.006172185,0.41835257,0.013478975,0.0024828382,0.18421835,0.0064077512],"about_ca_topic_score_codex":0.0000044908206,"about_ca_topic_score_gemma":0.0000017687479,"teacher_disagreement_score":0.788032,"about_ca_system_score_codex":0.000076614415,"about_ca_system_score_gemma":0.000008642403,"threshold_uncertainty_score":0.80927914},"labels":[],"label_agreement":null},{"id":"W2055061566","doi":"10.3182/20090630-4-es-2003.00115","title":"Optimal reconfigurable control allocation design based on reliability analysis","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Concordia University","funders":"","keywords":"Control reconfiguration; Reliability (semiconductor); Control (management); Computer science; Reliability engineering; Inverse; Point (geometry); Fault (geology); Engineering; Mathematical optimization; Control theory (sociology); Control engineering; Mathematics; Embedded system; Power (physics); Artificial intelligence","score_opus":0.007487058171779428,"score_gpt":0.2061509894837512,"score_spread":0.1986639313119718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055061566","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":[0.48018143,0.0002792153,0.4660579,0.0019762143,0.00068183185,0.0018268841,0.000021898199,0.0035155914,0.045459025],"genre_scores_gemma":[0.9977625,0.0000048279267,0.0014560026,0.00023214499,0.000087826855,0.00007532,0.000003924767,0.000018411018,0.00035902328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988102,0.00001791015,0.0003281477,0.000306412,0.00024346472,0.0002939206],"domain_scores_gemma":[0.99945784,0.000053751002,0.000066007655,0.00015950666,0.00015473337,0.00010813954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049147365,0.000205794,0.00034218805,0.000257809,0.00009782499,0.00013242607,0.00014522082,0.00013166096,0.00009034489],"category_scores_gemma":[0.0001250253,0.00020255853,0.00016621621,0.0006362185,0.000017908898,0.0002124227,0.0000013237574,0.00016697701,0.0000761708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012960794,0.00005047698,0.0009934078,0.000028820905,0.00014462532,7.2405885e-7,0.00009595785,0.97760147,0.010896464,0.000064430315,0.0022298722,0.0077641527],"study_design_scores_gemma":[0.0006967517,0.00021183275,0.0052588405,0.00001775352,0.00015453534,0.0000011315609,0.000055510547,0.98519164,0.006133237,0.000050944895,0.00200264,0.0002251711],"about_ca_topic_score_codex":0.000022711367,"about_ca_topic_score_gemma":0.0000016199647,"teacher_disagreement_score":0.5175811,"about_ca_system_score_codex":0.00015040085,"about_ca_system_score_gemma":0.000017060904,"threshold_uncertainty_score":0.8260097},"labels":[],"label_agreement":null},{"id":"W2055438934","doi":"10.3182/20110828-6-it-1002.01643","title":"Hybrid Optimal Control for Aircraft Trajectory Design with a Variable Sequence of Modes","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":10,"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; Eidgenössische Technische Hochschule Zürich; Cleansky; Air Force Office of Scientific Research; European Commission","keywords":"Sequence (biology); Control theory (sociology); Optimal control; Trajectory; Trajectory optimization; Mode (computer interface); Mathematical optimization; State (computer science); State variable; Function (biology); Engineering; Control variable; Optimization problem; Control (management); Computer science; Mathematics; Algorithm","score_opus":0.01737967061530561,"score_gpt":0.1919756461419638,"score_spread":0.1745959755266582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055438934","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":[0.17776476,0.00022091673,0.8195327,0.00001148927,0.000060440572,0.0006629236,0.00006610043,0.00027578138,0.0014048758],"genre_scores_gemma":[0.8815123,0.000013333853,0.117944226,0.000022314447,0.000042292373,0.000277645,0.0000019376535,0.0000564712,0.00012946979],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902207,0.0000033469225,0.00022121103,0.00022935012,0.00014402777,0.00037996884],"domain_scores_gemma":[0.99948347,0.000044412864,0.00006994346,0.00009812419,0.00021702437,0.0000870242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914475,0.00022091062,0.00033120587,0.000088573455,0.000051491937,0.00003132725,0.00021507851,0.000067154804,0.000024135838],"category_scores_gemma":[0.000030825056,0.00020088219,0.00006667904,0.000099646255,0.00007302712,0.0002764975,0.000009749885,0.00010614197,0.0000025691415],"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":[0.0019594047,0.00026993462,0.01012621,0.0014658639,0.0013163704,0.000015160574,0.003241754,0.11461712,0.83982134,0.01770942,0.0024399972,0.0070174476],"study_design_scores_gemma":[0.001384918,0.0003919516,0.00020549433,0.0000652347,0.000102568396,0.000018196963,0.00019464809,0.9778555,0.018186448,0.0011113245,0.0001982041,0.00028549158],"about_ca_topic_score_codex":0.00004364914,"about_ca_topic_score_gemma":0.000002330235,"teacher_disagreement_score":0.8632384,"about_ca_system_score_codex":0.000048003614,"about_ca_system_score_gemma":0.000057109934,"threshold_uncertainty_score":0.81917375},"labels":[],"label_agreement":null},{"id":"W2056019083","doi":"10.3182/20130410-3-cn-2034.00119","title":"Re-Configuration Strategy for PTZ Camera Networks","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Handover; Tracking (education); Smart camera; Single camera; Computer network","score_opus":0.01919266518721752,"score_gpt":0.2712127150689644,"score_spread":0.25202004988174687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056019083","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":[0.0060331696,0.00020763044,0.98275155,0.0020035878,0.0002840489,0.000550438,6.947076e-7,0.0003453748,0.007823508],"genre_scores_gemma":[0.9042124,0.000024128336,0.09236699,0.0009094287,0.00020858213,0.00014625746,0.000003435117,0.00001650921,0.002112277],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998833,0.0000036847766,0.00023390594,0.00039660002,0.00016015345,0.00037265423],"domain_scores_gemma":[0.999224,0.000038099384,0.00012915416,0.00013911235,0.00036020819,0.00010939443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247616,0.00015232124,0.00015052319,0.000071156166,0.00020070362,0.0006504695,0.00047004296,0.0000606162,0.00006320096],"category_scores_gemma":[0.00007036574,0.00014012893,0.000057511097,0.00023619221,0.000036911453,0.0023285346,0.00007930103,0.00012212407,0.00008361102],"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":[0.0000060290204,0.000034763583,0.0010600364,0.00003406129,0.000013884452,5.377037e-7,0.00071777275,0.00042469896,0.003701838,0.0271097,0.057298508,0.9095982],"study_design_scores_gemma":[0.00028742332,0.000107854,0.0017927288,0.000029534409,0.0000035714345,0.0000035789542,0.00041665236,0.97213686,0.0021948784,0.0105171045,0.012270635,0.00023916115],"about_ca_topic_score_codex":0.000032110285,"about_ca_topic_score_gemma":0.0000018265193,"teacher_disagreement_score":0.9717122,"about_ca_system_score_codex":0.000030892646,"about_ca_system_score_gemma":0.00002716948,"threshold_uncertainty_score":0.62724924},"labels":[],"label_agreement":null},{"id":"W2057193255","doi":"10.3182/20131216-3-in-2044.00010","title":"Output Feedback Passivity-Based Controller for Microalgae Cultivation","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Algal biology and biofuel production","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Passivity; Controller (irrigation); Nonlinear system; Observer (physics); Control engineering; Voltage droop; Engineering; Context (archaeology); Nonlinear control; Computer science; Control (management); Artificial intelligence","score_opus":0.01409789068471338,"score_gpt":0.22430371267410945,"score_spread":0.21020582198939608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057193255","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":[0.9821636,0.00019886949,0.002025847,0.0078109745,0.0005931029,0.001470741,0.000015871943,0.0004537121,0.005267247],"genre_scores_gemma":[0.9864092,0.000006032548,0.0035014204,0.0008705108,0.00061781344,0.00045629067,0.00006290401,0.000028942675,0.008046924],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875736,0.000011437219,0.00028271915,0.00044561678,0.00012017623,0.00038266624],"domain_scores_gemma":[0.9990353,0.000051762196,0.00018756058,0.00008383236,0.00056855223,0.0000729728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020567435,0.00022035821,0.00025383246,0.00008958372,0.00025476917,0.00010343006,0.00015763617,0.0002698933,0.00020178435],"category_scores_gemma":[0.00031273917,0.00018012857,0.0001265989,0.00015105546,0.00012650296,0.00041135083,0.000025623991,0.00014458681,0.0006063314],"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":[0.0007036082,0.0003507188,0.075521916,0.00034578875,0.00024201207,3.4971262e-7,0.0004962708,0.000053511452,0.5426231,0.010303537,0.16798273,0.20137647],"study_design_scores_gemma":[0.0070541124,0.0008503351,0.149236,0.00010434418,0.00015427532,0.000012318952,0.0007485311,0.01786593,0.29137757,0.025638977,0.5055858,0.0013718036],"about_ca_topic_score_codex":0.00028496716,"about_ca_topic_score_gemma":0.000007966726,"teacher_disagreement_score":0.33760306,"about_ca_system_score_codex":0.000066672554,"about_ca_system_score_gemma":0.00002785421,"threshold_uncertainty_score":0.7793366},"labels":[],"label_agreement":null},{"id":"W2057204477","doi":"10.3182/20120711-3-be-2027.00257","title":"Analysis of ℒ1 adaptive output feedback control; equivalent LTI controllers","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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 British Columbia","funders":"","keywords":"Control theory (sociology); Output feedback; Adaptive control; Control engineering; LTI system theory; Control (management); Computer science; Engineering; Linear system; Mathematics","score_opus":0.015077088244587243,"score_gpt":0.21341169197724189,"score_spread":0.19833460373265463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057204477","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":[0.978956,0.0035354814,0.0062755444,0.00009355678,0.0007034552,0.0006458358,0.00008179309,0.00032560498,0.009382749],"genre_scores_gemma":[0.9985277,0.00004039698,0.00011524469,0.000018898318,0.00023123577,0.00007691204,0.000008752869,0.00003309378,0.000947773],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846023,0.000010311194,0.00054550945,0.00020821726,0.00032343456,0.0004523206],"domain_scores_gemma":[0.99916214,0.000049293158,0.00020027545,0.00014935668,0.0002820379,0.00015688143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044785463,0.00022503476,0.00067724293,0.00039371933,0.000060263166,0.00006344738,0.00018517839,0.000115244984,0.000074127565],"category_scores_gemma":[0.000073407195,0.00021842217,0.0003175831,0.00059304945,0.000049960738,0.0004955429,0.000022794462,0.00010109446,0.00004938891],"study_design_candidate":"observational","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":[0.00049356784,0.0004857476,0.7791553,0.0006562532,0.020075968,0.0000013447243,0.008879159,0.016897153,0.100671016,0.0075786747,0.025108926,0.039996877],"study_design_scores_gemma":[0.002985069,0.0000984874,0.43661067,0.000079600046,0.0033238144,0.0000027535714,0.0018203908,0.5418089,0.001924814,0.00005594854,0.010645126,0.0006444182],"about_ca_topic_score_codex":0.00010696496,"about_ca_topic_score_gemma":0.00002072178,"teacher_disagreement_score":0.52491176,"about_ca_system_score_codex":0.00012568425,"about_ca_system_score_gemma":0.000010781227,"threshold_uncertainty_score":0.89069974},"labels":[],"label_agreement":null},{"id":"W2058168742","doi":"10.3182/20020721-6-es-1901.00835","title":"INVERSE DYNAMICS AND FUZZY REPETITIVE LEARNING FLEXIBLE ROBOT CONTROL","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Inverse dynamics; Control theory (sociology); Tracking (education); Trajectory; Inverse; Fuzzy logic; Iterative learning control; Fuzzy control system; Inverse system; Computer science; Control engineering; Control (management); Mathematics; Artificial intelligence; Engineering; Physics","score_opus":0.0065272509412218835,"score_gpt":0.18242272563866402,"score_spread":0.17589547469744213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058168742","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":[0.8132465,0.0026680876,0.010081455,0.0007140112,0.0007207222,0.0009774263,0.000020010097,0.003384523,0.16818728],"genre_scores_gemma":[0.98897403,0.00007120805,0.00064049277,0.000071398514,0.00021364288,0.00005252742,0.0000037529896,0.00007284671,0.009900099],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871385,0.000019163526,0.00028542744,0.00033328653,0.00020789202,0.00044039535],"domain_scores_gemma":[0.99948126,0.000062761545,0.00008915054,0.00008038118,0.000157732,0.0001287332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022374392,0.00027751437,0.0003611038,0.00016002428,0.00019197374,0.00023938376,0.00012433654,0.00014301827,0.00008412102],"category_scores_gemma":[0.00022215443,0.0002958291,0.0000624629,0.00021932895,0.00008683676,0.00047981448,0.000033780914,0.0004905439,0.00016858695],"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":[0.00015879184,0.00016134592,0.65792173,0.0019875579,0.0013730855,0.000101096906,0.034282,0.083138935,0.064338826,0.028880859,0.026586829,0.10106894],"study_design_scores_gemma":[0.0011281797,0.000120263576,0.004459265,0.00012475574,0.000037041274,0.000034800905,0.00096150424,0.98514533,0.00022815519,0.00010097521,0.0072596017,0.00040014004],"about_ca_topic_score_codex":0.000022955046,"about_ca_topic_score_gemma":0.0000128553775,"teacher_disagreement_score":0.9020064,"about_ca_system_score_codex":0.00016417073,"about_ca_system_score_gemma":0.00000454219,"threshold_uncertainty_score":0.9999494},"labels":[],"label_agreement":null},{"id":"W2058240335","doi":"10.3182/20121003-3-mx-4033.00028","title":"Hierarchical Interface-Based Supervisory Control Using the Conflict Preorder","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Preorder; Interface (matter); Consistency (knowledge bases); Flexibility (engineering); Computer science; Distributed computing; Supervisory control; Event (particle physics); Control (management); Mathematics; Parallel computing; Artificial intelligence","score_opus":0.05200339415869881,"score_gpt":0.2797770896287701,"score_spread":0.2277736954700713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058240335","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":[0.39203292,0.0016920202,0.6024224,0.0010495783,0.0006784017,0.0004092729,0.0000033270546,0.00034056656,0.0013715185],"genre_scores_gemma":[0.97321844,0.0000048303223,0.025272226,0.00085890235,0.00039300384,0.00004902576,4.182142e-7,0.00003084667,0.00017229817],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976245,0.000060075174,0.00043737493,0.0004597981,0.00058276334,0.00083549833],"domain_scores_gemma":[0.9987355,0.00019936718,0.00017144888,0.00040608604,0.00027181662,0.000215806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001217135,0.00028924653,0.00032199136,0.00015740104,0.00035852825,0.00046998536,0.0015958182,0.00013965405,0.000024061354],"category_scores_gemma":[0.00021093647,0.00021211077,0.00012957917,0.00049381703,0.00017670824,0.0012641423,0.0003308312,0.00040634462,0.00005339634],"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":[0.00037131383,0.001361669,0.55161583,0.0010426206,0.000808762,0.000015209759,0.06705864,0.012550889,0.14433302,0.12658983,0.014712281,0.0795399],"study_design_scores_gemma":[0.00081093516,0.000058566646,0.0015311916,0.00011186504,0.000029870183,0.0000648637,0.00025714134,0.9749631,0.0042259307,0.00026946657,0.017281355,0.0003956605],"about_ca_topic_score_codex":0.000039655417,"about_ca_topic_score_gemma":9.1767544e-7,"teacher_disagreement_score":0.96241224,"about_ca_system_score_codex":0.00012333404,"about_ca_system_score_gemma":0.00011533025,"threshold_uncertainty_score":0.86496264},"labels":[],"label_agreement":null},{"id":"W2059386012","doi":"10.3182/20080706-5-kr-1001.01712","title":"Adaptive Fault Detection for a Class of Nonlinear Systems Based on Output Estimator Design","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Control theory (sociology); Estimator; Nonlinear system; Fault detection and isolation; Observer (physics); Fault (geology); Control engineering; Engineering; Mathematics; Computer science; Control (management); Artificial intelligence; Statistics","score_opus":0.02279401142662419,"score_gpt":0.21717797579093567,"score_spread":0.1943839643643115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059386012","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":[0.26291028,0.000377813,0.72738606,0.000048193975,0.0018444435,0.0028143518,0.00007850716,0.0015691554,0.002971194],"genre_scores_gemma":[0.9949334,0.00000528853,0.003998879,0.000016554346,0.00021194293,0.00043224453,0.0000016962717,0.000061611936,0.00033835694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988139,0.000010225624,0.0003795268,0.00024591672,0.00027133303,0.00027904604],"domain_scores_gemma":[0.99932766,0.00009316105,0.00012040763,0.00009912457,0.00026711175,0.00009253985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019908787,0.00023127357,0.00036723126,0.00020170823,0.00013782989,0.00003588394,0.00012348576,0.0001704489,0.0000023760565],"category_scores_gemma":[0.00012906289,0.00022654775,0.00012760743,0.00022332899,0.000043259806,0.00015101899,0.0000061648116,0.00013876836,0.000023102935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001737757,0.00022929598,0.0009892607,0.002059132,0.0004203988,0.0000091841885,0.0012563241,0.85256034,0.11091361,0.00031219615,0.008379332,0.02113319],"study_design_scores_gemma":[0.0010046362,0.0005442103,0.00013030547,0.000121145385,0.000024548455,0.000020926762,0.0002613077,0.96757275,0.025756055,0.000008316506,0.0043313797,0.00022444937],"about_ca_topic_score_codex":0.00004128932,"about_ca_topic_score_gemma":0.0000026100197,"teacher_disagreement_score":0.7320232,"about_ca_system_score_codex":0.00013113042,"about_ca_system_score_gemma":0.000032140557,"threshold_uncertainty_score":0.9238349},"labels":[],"label_agreement":null},{"id":"W2059407865","doi":"10.3182/20020721-6-es-1901.00882","title":"PLANNING TRAJECTORY WITH SPEED CONTROLLED MANOEUVRES FOR A TWO-LINK RIGID MANIPULATOR","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Mechanisms and Dynamics","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 Saskatchewan","funders":"","keywords":"Control theory (sociology); Trajectory; Cartesian coordinate system; Angular velocity; Curvilinear coordinates; Mathematics; Acceleration; Piecewise; Nonlinear system; Angular acceleration; Spline (mechanical); Piecewise linear function; Computer science; Engineering; Mathematical analysis; Geometry; Physics; Classical mechanics; Control (management); Artificial intelligence","score_opus":0.018743651449597692,"score_gpt":0.2174105605070498,"score_spread":0.1986669090574521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059407865","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":[0.7605215,0.002086777,0.19281164,0.00034206445,0.0011391803,0.0033436313,0.000036707774,0.0026891218,0.037029427],"genre_scores_gemma":[0.9121783,0.000020162564,0.084217094,0.000093015915,0.000506685,0.00014784088,0.0000069784296,0.00013952468,0.0026904356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986485,0.0000024207513,0.00032137492,0.00030630923,0.00022532315,0.00049602485],"domain_scores_gemma":[0.9995226,0.000050784645,0.00008074322,0.000109860994,0.00009732758,0.0001386828],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012609246,0.0003138308,0.00049482274,0.00013202279,0.00013125976,0.0001439972,0.00019098593,0.00011552624,0.00010880235],"category_scores_gemma":[0.00003616998,0.00026670625,0.00012086083,0.00013468775,0.000033344324,0.00023649055,0.000016497623,0.00017306797,0.000029575796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002116689,0.00040364492,0.012394,0.0029775873,0.00246006,0.000117689684,0.011123299,0.7699763,0.055993777,0.08853888,0.03169315,0.022204923],"study_design_scores_gemma":[0.005368594,0.00021453518,0.00021738291,0.00011555853,0.00009687653,0.000030803127,0.00026523793,0.9907268,0.00064408424,0.00077188684,0.0011038412,0.0004443966],"about_ca_topic_score_codex":0.000006263661,"about_ca_topic_score_gemma":0.0000037021975,"teacher_disagreement_score":0.2207505,"about_ca_system_score_codex":0.000064276406,"about_ca_system_score_gemma":0.000007504902,"threshold_uncertainty_score":0.99997854},"labels":[],"label_agreement":null},{"id":"W2059733923","doi":"10.3182/20060607-3-it-3902.00032","title":"STOCHASTIC HYBRID NETCAD SYSTEMS FOR MODELING CALL ADMISSION AND ROUTING CONTROL IN NETWORKS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"","keywords":"State space; Stochastic process; Hybrid system; State (computer science); Routing (electronic design automation); Computer science; Mathematical optimization; Markov process; Continuous-time stochastic process; Piecewise; Event (particle physics); Call Admission Control; Stochastic optimization; Mathematics; Algorithm; Computer network; Wireless network; Wireless","score_opus":0.008539682152051352,"score_gpt":0.21188442867237026,"score_spread":0.2033447465203189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059733923","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":[0.5162822,0.001203629,0.48079687,0.00022103757,0.0001850548,0.00068418594,0.0000025768427,0.00022645634,0.0003979813],"genre_scores_gemma":[0.99754626,0.0000057909856,0.00028237028,0.00018360042,0.0016128531,0.00009405392,0.000013916084,0.000048094687,0.00021307658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984759,0.0000037476223,0.00045070736,0.0004359007,0.00016234364,0.00047138208],"domain_scores_gemma":[0.99931556,0.00007448793,0.00028266828,0.00007611627,0.0002299383,0.000021252317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006552104,0.0002403329,0.00038198798,0.0002546541,0.00025462412,0.00041045493,0.00015619365,0.000078911515,0.0000030043864],"category_scores_gemma":[0.0003149157,0.00023612508,0.00007160778,0.00028983044,0.000034177345,0.0010677534,0.00007869827,0.0001628985,0.0000047130807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001867436,0.000033866047,0.007409413,0.00024399809,0.000024648813,0.000002642627,0.00002487311,0.9732532,0.0002701404,0.016381942,0.00047594865,0.0016925904],"study_design_scores_gemma":[0.00094234606,0.000010526819,0.000084480664,0.00025301124,0.00010152498,0.0000033237702,0.00019077999,0.9901158,0.0000027472704,0.0073599215,0.0006559835,0.00027952655],"about_ca_topic_score_codex":0.0004701003,"about_ca_topic_score_gemma":0.000025633775,"teacher_disagreement_score":0.48126405,"about_ca_system_score_codex":0.00005858941,"about_ca_system_score_gemma":0.000008868956,"threshold_uncertainty_score":0.96289015},"labels":[],"label_agreement":null},{"id":"W2059774363","doi":"10.3182/20080706-5-kr-1001.00544","title":"Communication and State Realization in Decentralized Supervisory Control of Discrete-Event Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Supervisor; Observability; Realization (probability); Supervisory control; Frame (networking); Property (philosophy); Event (particle physics); Supervisory control theory; Distributed computing; Computer science; State (computer science); Control engineering; Decentralised system; Control (management); Sublanguage; Control theory (sociology); Engineering; Mathematics; Artificial intelligence; Telecommunications; Algorithm","score_opus":0.023424095611045404,"score_gpt":0.2429357326894833,"score_spread":0.21951163707843788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059774363","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":[0.7264648,0.00360319,0.26892787,0.00013942758,0.0000877694,0.00041202313,0.0000053745766,0.00009610322,0.0002634502],"genre_scores_gemma":[0.9949165,0.0012694672,0.0036574393,0.00002356898,0.000009384114,0.00004123107,0.000003013521,0.000011416102,0.000067996625],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985468,0.000055284123,0.00055101234,0.00028966516,0.0003157777,0.00024147413],"domain_scores_gemma":[0.9991227,0.0000631946,0.00026222685,0.00024675767,0.0002376318,0.000067507084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059114886,0.00013408318,0.0003119923,0.00018444376,0.00010246494,0.00008512439,0.00053983973,0.00006282194,8.71134e-7],"category_scores_gemma":[0.00009714667,0.00013193687,0.0000311494,0.00040814193,0.000084174906,0.0008115871,0.00014965372,0.00009402602,0.0000015578987],"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":[0.00012499027,0.00025033142,0.8705473,0.0009417888,0.00009217594,0.000011169234,0.037754454,0.0100103505,0.009474281,0.06176498,0.0006510114,0.008377172],"study_design_scores_gemma":[0.0015307063,0.000059842798,0.028903054,0.0003933131,0.000007700784,0.000061064005,0.0003785815,0.96638143,0.0005505438,0.0010103675,0.00048834673,0.00023503478],"about_ca_topic_score_codex":0.00046085956,"about_ca_topic_score_gemma":0.000020757318,"teacher_disagreement_score":0.95637107,"about_ca_system_score_codex":0.00007878333,"about_ca_system_score_gemma":0.00004834569,"threshold_uncertainty_score":0.53802294},"labels":[],"label_agreement":null},{"id":"W2059995471","doi":"10.3182/20140824-6-za-1003.01866","title":"Fast Distributed Strategic Learning for Global Optima in Queueing Access Games","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Stochastic game; Computer science; Queueing theory; Queue; Convergence (economics); Mathematical optimization; Stochastic approximation; Graph; Q-learning; Reinforcement learning; Theoretical computer science; Artificial intelligence; Mathematics; Asynchronous communication; Mathematical economics","score_opus":0.10372407585180725,"score_gpt":0.4312016915104807,"score_spread":0.32747761565867345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059995471","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":[0.6997745,0.00030959025,0.28204843,0.0009317574,0.00035374,0.0010536677,0.00006136665,0.0003199139,0.015147015],"genre_scores_gemma":[0.9938457,0.0000195929,0.0048786057,0.000039604416,0.00021776899,0.0001214379,0.000016784506,0.000026160063,0.0008343151],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959272,0.000043345495,0.00072981365,0.00096424104,0.0014343751,0.00090101914],"domain_scores_gemma":[0.99769104,0.00066119793,0.00033559694,0.00020049098,0.0008942345,0.00021742849],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0025628165,0.0002829979,0.00051330065,0.00030565666,0.00032268462,0.0017296534,0.0015786267,0.00015987293,0.000086530454],"category_scores_gemma":[0.006493816,0.00023840461,0.00012553003,0.0018783212,0.00020393686,0.0018701259,0.0004458044,0.00039322313,0.00007283475],"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":[0.00041906047,0.00020919066,0.41292784,0.00016896294,0.000042702206,0.000009550582,0.0008915828,0.04071653,0.000837899,0.018003851,0.002911538,0.5228613],"study_design_scores_gemma":[0.0022523135,0.00041333662,0.07400889,0.00012145044,0.000013528021,0.000020295141,0.00624491,0.62326723,0.0015381838,0.26653418,0.02477389,0.0008117997],"about_ca_topic_score_codex":0.000047572263,"about_ca_topic_score_gemma":0.000057311834,"teacher_disagreement_score":0.5825507,"about_ca_system_score_codex":0.00023816316,"about_ca_system_score_gemma":0.00011240946,"threshold_uncertainty_score":0.9993066},"labels":[],"label_agreement":null},{"id":"W2060083374","doi":"10.3182/20110828-6-it-1002.02174","title":"Reconfiguration of Control Inputs for overactuated Systems based on Actuators health","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Western University","funders":"","keywords":"Actuator; Control reconfiguration; Redundancy (engineering); Control theory (sociology); Control (management); Control engineering; Computer science; Controller (irrigation); Fault tolerance; Control system; Engineering; Reliability engineering; Artificial intelligence; Embedded system; Distributed computing","score_opus":0.016752700864882522,"score_gpt":0.2169729228556616,"score_spread":0.2002202219907791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060083374","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":[0.7469092,0.00071626046,0.19931157,0.00060895784,0.0065122056,0.008296731,0.00033429984,0.00321789,0.03409288],"genre_scores_gemma":[0.99918115,0.0000057848893,0.00017235382,0.00013553342,0.000102379476,0.00024167544,0.000006515843,0.00004041809,0.00011418468],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998916,0.0000098309565,0.00045943543,0.00018522264,0.00017448005,0.00025508995],"domain_scores_gemma":[0.9993937,0.00004623323,0.00019637623,0.00009137834,0.0001734126,0.00009890535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030002597,0.00017841574,0.00036568678,0.00017264402,0.00006494308,0.000039509738,0.00010063581,0.00010967733,0.000023181412],"category_scores_gemma":[0.00008344107,0.00017085928,0.00008963153,0.00014468077,0.000016314734,0.0001724565,0.0000021413482,0.00009588821,0.000015169517],"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":[0.009223194,0.0019831832,0.042065788,0.02796775,0.0034260876,0.0000080540385,0.03725837,0.056826677,0.23250079,0.026803987,0.14154875,0.42038736],"study_design_scores_gemma":[0.0020763173,0.0006409367,0.0012524022,0.0002315217,0.000021322532,0.0000031709103,0.00031012183,0.9795712,0.008358687,0.000045132507,0.007239965,0.00024918263],"about_ca_topic_score_codex":0.00012380173,"about_ca_topic_score_gemma":0.000007396885,"teacher_disagreement_score":0.9227446,"about_ca_system_score_codex":0.00011342768,"about_ca_system_score_gemma":0.00003706186,"threshold_uncertainty_score":0.6967439},"labels":[],"label_agreement":null},{"id":"W2060188826","doi":"10.3182/20060906-3-it-2910.00015","title":"AN OPTIMAL CONTROL APPROACH TO STABLE-PUSHING PLANNING","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Control theory (sociology); Trajectory; Object (grammar); Constant (computer programming); Optimal control; Robot; Control (management); RADIUS; Motion planning; Turning radius; Computer science; Mathematics; Mathematical optimization; Engineering; Artificial intelligence; Physics","score_opus":0.013232489078067513,"score_gpt":0.2416194817586733,"score_spread":0.22838699268060578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060188826","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":[0.09907029,0.00014082823,0.88620526,0.00028508558,0.00025605218,0.0003658383,0.0000061405176,0.00095759315,0.012712931],"genre_scores_gemma":[0.52300036,2.0815926e-7,0.47619373,0.00023188694,0.00026783737,0.00004558805,0.000004434929,0.00002282983,0.00023312203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719626,0.0000193922,0.00039356158,0.00091645384,0.000602896,0.00087143935],"domain_scores_gemma":[0.99893844,0.000048634076,0.00016488314,0.00033011846,0.00022899931,0.00028895118],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00066911627,0.00032487803,0.00036978294,0.00027102928,0.0003464213,0.0011239279,0.0015719082,0.00013047148,0.0000027050219],"category_scores_gemma":[0.000082776365,0.0003284776,0.00006588719,0.00065154966,0.000046329722,0.0019356561,0.00018100267,0.0002932685,0.000055129294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013245211,0.0010993804,0.11049932,0.00021231246,0.00014181051,0.00011909771,0.01717425,0.73550695,0.026404694,0.044952087,0.039992563,0.023765095],"study_design_scores_gemma":[0.00061548356,0.00019537949,0.016309949,0.000063132844,0.000014236495,0.000085465785,0.0003471167,0.97832566,0.0011361819,0.0004263428,0.0019279602,0.00055306125],"about_ca_topic_score_codex":0.00012979865,"about_ca_topic_score_gemma":2.3550459e-7,"teacher_disagreement_score":0.42393008,"about_ca_system_score_codex":0.00009956877,"about_ca_system_score_gemma":0.000067531284,"threshold_uncertainty_score":0.99991673},"labels":[],"label_agreement":null},{"id":"W2060418154","doi":"10.3182/20130904-3-fr-2041.00191","title":"Stabilization of Nonlinear Systems via Potential-based Realization","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Nonlinear system; Mathematics; Realization (probability); Control theory (sociology); Decomposition; Vector field; Hamiltonian (control theory); Applied mathematics; Mathematical optimization; Computer science; Physics; Geometry; Artificial intelligence","score_opus":0.0036086879715532764,"score_gpt":0.17008574891901143,"score_spread":0.16647706094745815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060418154","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":[0.8500808,0.00034588022,0.14618734,0.00007411315,0.00039660765,0.00088285765,0.000019890223,0.0005149381,0.0014975602],"genre_scores_gemma":[0.9990269,0.000007659491,0.0006468685,0.0000063596235,0.00009515957,0.00007171764,0.000028576465,0.00002997002,0.000086815766],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889505,0.000008222626,0.0004439159,0.000178141,0.00026007154,0.0002146096],"domain_scores_gemma":[0.999311,0.00001962832,0.000091179754,0.00010191234,0.00039640415,0.00007992426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014476945,0.00014968982,0.00027274468,0.000089245485,0.00004315884,0.00008255281,0.00012403421,0.000114144896,0.000058245947],"category_scores_gemma":[0.00005805618,0.00014368157,0.000068634465,0.00021995687,0.0000410728,0.00029326716,0.000013336363,0.00006995092,0.00002997001],"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":[0.000057605565,0.00036809215,0.10889687,0.008567556,0.0002371317,0.0000011299527,0.0013414533,0.31116185,0.53073055,0.0027351899,0.0027216193,0.03318097],"study_design_scores_gemma":[0.00028320221,0.000044840694,0.0058092624,0.000065586544,0.000016645608,0.0000014397066,0.00013061601,0.9919414,0.00086751755,0.00019359875,0.0004916858,0.00015423419],"about_ca_topic_score_codex":0.0004827677,"about_ca_topic_score_gemma":0.000015667703,"teacher_disagreement_score":0.6807795,"about_ca_system_score_codex":0.0000676736,"about_ca_system_score_gemma":0.00001215557,"threshold_uncertainty_score":0.5859164},"labels":[],"label_agreement":null},{"id":"W2061059353","doi":"10.3182/20120710-4-sg-2026.00163","title":"MICROBIAL FUEL CELL OPERATION WITH PERIODIC CONNECTION OF THE EXTERNAL RESISTANCE","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Biotechnology Research Institute; Polytechnique Montréal","funders":"","keywords":"Microbial fuel cell; Internal resistance; Constant (computer programming); Power (physics); Electrical resistance and conductance; Connection (principal bundle); Materials science; Control theory (sociology); Load resistance; Environmental science; Electricity generation; Engineering; Computer science; Mechanical engineering; Composite material; Physics; Thermodynamics","score_opus":0.004642933458358709,"score_gpt":0.17338081336524047,"score_spread":0.16873787990688177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061059353","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":[0.989689,0.00016763162,0.00006938909,0.00013199252,0.00018570744,0.00021736794,0.0000043062378,0.000016657588,0.009517966],"genre_scores_gemma":[0.9960299,0.00003119251,0.0013364031,0.000085173815,0.00013480835,0.0000068846507,0.0000017972504,0.000009465514,0.0023643866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928224,0.000008128086,0.00014950294,0.00015516458,0.0002089152,0.00019606133],"domain_scores_gemma":[0.9997112,0.000004935925,0.00014706391,0.000066961526,0.000024023107,0.000045806268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016857509,0.00009894199,0.000084592495,0.000014209363,0.00014184254,0.000042351337,0.00014444579,0.000052416544,0.0004901114],"category_scores_gemma":[0.000011942473,0.00006467637,0.000035292127,0.00014609618,0.00014317385,0.0004132466,0.000061064915,0.0000803291,0.000067707886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034122448,0.000047413665,0.24380407,0.000053502154,0.0000017703574,4.2163627e-8,0.0011245087,0.000010026994,0.75246185,0.000030261159,0.002265839,0.00016659166],"study_design_scores_gemma":[0.0005342953,0.00008731219,0.3038213,0.000058219703,0.000034718618,0.000010638611,0.00039457594,0.00014093117,0.66708165,0.0000515898,0.027534753,0.0002500133],"about_ca_topic_score_codex":0.00011001255,"about_ca_topic_score_gemma":0.00013081137,"teacher_disagreement_score":0.08538021,"about_ca_system_score_codex":0.000082800936,"about_ca_system_score_gemma":0.000009455563,"threshold_uncertainty_score":0.5366376},"labels":[],"label_agreement":null},{"id":"W2061449261","doi":"10.3182/20060517-3-fr-2903.00244","title":"AGENT-BASED CONTROL FOR THERMOFORMING PROCESSES","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Scheduling and Optimization Algorithms","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":"National Research Council Canada; McGill University","funders":"","keywords":"Thermoforming; Interoperability; Process (computing); Architecture; Process modeling; Computer science; Control (management); Process control; Systems engineering; Manufacturing engineering; Engineering; Software engineering; Control engineering; Work in process; Artificial intelligence; Mechanical engineering; Operations management","score_opus":0.007368756975353165,"score_gpt":0.20368894859712258,"score_spread":0.19632019162176942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061449261","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":[0.28345114,0.0018537955,0.69502914,0.0004237775,0.0007491134,0.001276381,0.00007617811,0.0035447204,0.013595776],"genre_scores_gemma":[0.9477262,0.0000070547712,0.05115885,0.00009404693,0.00031002777,0.00019064867,0.000017962015,0.000059752416,0.00043544272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991722,0.0000010560091,0.000210412,0.00017402752,0.00013590096,0.000306422],"domain_scores_gemma":[0.9995561,0.000046207973,0.000047321635,0.00005089277,0.00025038488,0.000049056827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105743704,0.00016806788,0.00016449187,0.00008949862,0.000117034884,0.00012225583,0.00012743006,0.00008312716,0.000023953366],"category_scores_gemma":[0.000091959475,0.00016432434,0.000058255057,0.00022053375,0.000026496726,0.00019522887,0.0000037525676,0.000069752234,0.000016332448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020248553,0.00034241664,0.03482696,0.0052878605,0.0002891477,0.000005365529,0.0012285945,0.8512114,0.021416243,0.0041892296,0.027596543,0.053403717],"study_design_scores_gemma":[0.0013045054,0.00004239906,0.00039355695,0.00006335683,0.000038561506,0.0000027124904,0.00014449011,0.96710443,0.02432877,0.00043960012,0.0058100065,0.00032761777],"about_ca_topic_score_codex":0.000007877105,"about_ca_topic_score_gemma":0.000002927771,"teacher_disagreement_score":0.6642751,"about_ca_system_score_codex":0.000041040283,"about_ca_system_score_gemma":0.000031885615,"threshold_uncertainty_score":0.67009526},"labels":[],"label_agreement":null},{"id":"W2062691498","doi":"10.3182/20070820-3-us-2918.00042","title":"SENSITIVITY ANALYSIS & MODELING OF HCCI AUTO-IGNITION TIMING","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Homogeneous charge compression ignition; Sensitivity (control systems); Ignition system; Combustion; Automotive engineering; Ignition timing; Charge (physics); Materials science; Control theory (sociology); Mechanics; Thermodynamics; Engineering; Chemistry; Physics; Computer science; Combustion chamber; Control (management); Electronic engineering","score_opus":0.025350511201006502,"score_gpt":0.26707079105715636,"score_spread":0.24172027985614986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062691498","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":[0.43536884,0.00003567825,0.56253046,0.00003359104,0.000025140376,0.000055413024,0.0000036186154,0.00072508026,0.0012221743],"genre_scores_gemma":[0.9283162,0.000009717879,0.07138813,0.000011223979,0.00004822965,0.0000058306014,0.000011990293,0.000027315245,0.00018140994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863124,0.0000023718496,0.00039877417,0.00031534742,0.00027751457,0.000374765],"domain_scores_gemma":[0.99924076,0.00007716277,0.0001482446,0.00015623105,0.00031275977,0.000064849315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042579943,0.00019898095,0.0003557987,0.0005060684,0.00006657924,0.000017387561,0.00013830514,0.00017283655,0.000025153584],"category_scores_gemma":[0.0006377105,0.00021754968,0.00016104979,0.0011931391,0.000056013003,0.0003225496,0.000099803015,0.0002894156,0.0000145494205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026935066,0.000053114076,0.0044000098,0.00013379268,0.0002947574,0.0000037223867,0.00041114874,0.668175,0.3148325,0.0032504562,0.000038015896,0.008380538],"study_design_scores_gemma":[0.00013916985,0.000010891873,0.00047486022,0.000043267257,0.00018593748,0.000006203857,0.0004291053,0.92939144,0.06798472,0.0010009551,0.00009695376,0.00023648817],"about_ca_topic_score_codex":0.000039154645,"about_ca_topic_score_gemma":0.0000097646825,"teacher_disagreement_score":0.4929473,"about_ca_system_score_codex":0.000114403985,"about_ca_system_score_gemma":0.000008334051,"threshold_uncertainty_score":0.8871418},"labels":[],"label_agreement":null},{"id":"W2063946149","doi":"10.3182/20060517-3-fr-2903.00065","title":"OPERATOR'S ASSIGNMENT PROBLEM IN WORKSHOP SCHEDULING","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Scheduling and Optimization Algorithms","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":"Polytechnique Montréal","funders":"","keywords":"Operator (biology); Scheduling (production processes); Computer science; Mathematical optimization; Integer programming; Operations research; Algorithm; Mathematics","score_opus":0.007344124982307067,"score_gpt":0.20711628299555732,"score_spread":0.19977215801325024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063946149","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":[0.93633807,0.0017298021,0.030871341,0.0004580276,0.00055389747,0.0005349615,0.0000045525003,0.001669517,0.027839832],"genre_scores_gemma":[0.806516,0.000035054956,0.19243942,0.00003663289,0.00022022474,0.00007011147,0.0000070433043,0.000050499,0.00062502635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988259,0.0000032179034,0.00032780116,0.00025258644,0.00021208271,0.00037843376],"domain_scores_gemma":[0.99973357,0.000015820458,0.000034204324,0.000071070644,0.00007771158,0.000067630535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001902465,0.00020083511,0.0001933002,0.0001700672,0.000067231,0.00019012165,0.00015932787,0.0001297277,0.00005437458],"category_scores_gemma":[0.00002836419,0.00021231161,0.00004064246,0.00047535982,0.000026287305,0.00030802435,0.000030312656,0.00023928507,0.00005924557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007246169,0.00008414807,0.031708375,0.0001210459,0.000024481842,0.0000066571365,0.0006441125,0.95390797,0.0027656544,0.001732379,0.002018213,0.0069797025],"study_design_scores_gemma":[0.0006850474,0.00001824508,0.0020460116,0.00018847226,0.000011385053,0.000008108642,0.0007572939,0.98661464,0.0065781185,0.00061097636,0.0019862405,0.0004954312],"about_ca_topic_score_codex":0.000023861216,"about_ca_topic_score_gemma":0.00000857582,"teacher_disagreement_score":0.16156808,"about_ca_system_score_codex":0.00013794491,"about_ca_system_score_gemma":0.00001829795,"threshold_uncertainty_score":0.86578166},"labels":[],"label_agreement":null},{"id":"W2064713001","doi":"10.3182/20110828-6-it-1002.03452","title":"Distributed Particle Filter for Nonlinear Hybrid Systems Based on Average Consensus Filter","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Control theory (sociology); Particle filter; Nonlinear system; Filter (signal processing); Consensus; Nonlinear filter; Computer science; Mathematics; Multi-agent system; Filter design; Physics; Artificial intelligence","score_opus":0.027333807315242712,"score_gpt":0.22476561403488798,"score_spread":0.19743180671964528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064713001","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":[0.096736826,0.00007183977,0.8957658,0.00066649215,0.0017123625,0.0010835404,0.0008021046,0.0010570002,0.0021040638],"genre_scores_gemma":[0.97446644,0.000002360038,0.024041217,0.00045018617,0.00023929091,0.00013758248,0.000051279712,0.00002979089,0.0005818237],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797523,0.000017874636,0.00041220293,0.0006410254,0.00033534665,0.0006183265],"domain_scores_gemma":[0.99869907,0.00010905576,0.00019591088,0.0003270658,0.00042937414,0.00023952094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029898333,0.00028404014,0.0003000618,0.00007981989,0.00026232208,0.00042354973,0.0005448201,0.0000979209,0.000044515255],"category_scores_gemma":[0.00013922603,0.0002587703,0.00015822552,0.00034869643,0.00007823246,0.00026663826,0.00009036029,0.00017804849,0.00010071561],"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":[0.00290903,0.0052199415,0.01508294,0.0013674315,0.0008876344,0.0005162229,0.0035480072,0.022896554,0.0049553863,0.06876192,0.7433836,0.13047132],"study_design_scores_gemma":[0.00090663374,0.00041455225,0.00046362792,0.00005286776,0.00001528347,0.000030877705,0.000048582846,0.9583041,0.012712933,0.00031278294,0.026386267,0.00035150757],"about_ca_topic_score_codex":0.000030440106,"about_ca_topic_score_gemma":9.202697e-7,"teacher_disagreement_score":0.9354075,"about_ca_system_score_codex":0.00006663861,"about_ca_system_score_gemma":0.000042262993,"threshold_uncertainty_score":0.99998647},"labels":[],"label_agreement":null},{"id":"W2064890123","doi":"10.3182/20110828-6-it-1002.00625","title":"“Archie”: A Cost Oriented Humanoid Robot","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Humanoid robot; Robot; Engineering; Software; Inertial measurement unit; Artificial intelligence; Position (finance); Robotics; Robot control; Mobile robot; Computer science","score_opus":0.018576348337937268,"score_gpt":0.19685010134993292,"score_spread":0.17827375301199566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064890123","genre_codex":"other","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":[0.46053058,0.00060892216,0.064384826,0.0002560339,0.0018641335,0.0015780737,0.000013845575,0.0046860357,0.46607754],"genre_scores_gemma":[0.99381405,0.000024246496,0.0037928699,0.00009564712,0.0001340832,0.00009609349,0.0000034482205,0.000048398077,0.0019911542],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990183,0.0000031517357,0.00023002613,0.0002080757,0.00016471179,0.0003757504],"domain_scores_gemma":[0.99961656,0.000007154769,0.00003574851,0.000104581326,0.000093371375,0.00014256556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009218865,0.00019306927,0.00019916757,0.00011146841,0.00009311191,0.000049689254,0.00020656617,0.00007979332,0.0004551926],"category_scores_gemma":[0.00003018324,0.00019051983,0.00007477074,0.00019706244,0.000056060817,0.000256968,0.00003663725,0.00018536932,0.00038332326],"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":[0.0004101302,0.0014331806,0.11231131,0.0016486488,0.0015879631,0.00010394016,0.062474065,0.0038208254,0.13855575,0.1834693,0.14750272,0.34668216],"study_design_scores_gemma":[0.010652453,0.001006231,0.17092772,0.0005719989,0.00041799093,0.00023580837,0.005948912,0.48046604,0.09862404,0.007869582,0.21849044,0.004788769],"about_ca_topic_score_codex":0.000019692463,"about_ca_topic_score_gemma":0.0000046728537,"teacher_disagreement_score":0.5332835,"about_ca_system_score_codex":0.000050543586,"about_ca_system_score_gemma":0.000012746563,"threshold_uncertainty_score":0.7769173},"labels":[],"label_agreement":null},{"id":"W2065972175","doi":"10.3182/20060912-3-de-2911.00157","title":"DEVELOPMENT OF AN IMAGE-BASED FEATURE TRACKING ALGORITHM FOR REAL-TIME CLAD HEIGHT DETECTION","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Thresholding; Computer vision; Feature (linguistics); Tracking (education); Computer science; Feature extraction; Tracing; Artificial neural network; Detector; Algorithm; Image (mathematics)","score_opus":0.006197650129497802,"score_gpt":0.20617913845019348,"score_spread":0.19998148832069568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065972175","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":[0.9518654,0.000074244555,0.045603387,0.000015746056,0.00018248,0.00035740473,0.00007933826,0.0006299562,0.0011920619],"genre_scores_gemma":[0.71315485,0.0000056549575,0.28606632,0.000006004179,0.00033483235,0.000099108474,0.00008455833,0.0000695725,0.00017909541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904805,0.000002745613,0.00027280132,0.00023719294,0.00015517927,0.00028400993],"domain_scores_gemma":[0.9995609,0.000022505646,0.00010222982,0.000058271675,0.00020779371,0.000048309757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014453605,0.00022593958,0.00025106428,0.000104960774,0.00014098376,0.00011411809,0.00012370925,0.00013013581,0.00004154479],"category_scores_gemma":[0.000014680591,0.00022182333,0.000053295975,0.00010645982,0.000034146866,0.00037538342,0.000012993554,0.000077420045,0.000007568973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028443508,0.00004276085,0.000023867595,0.0006864715,0.000028955594,8.9652747e-7,0.0002483003,0.00016762406,0.7983826,0.000011529797,0.00073666824,0.19964191],"study_design_scores_gemma":[0.0003316339,0.00005570572,0.0024994563,0.00007218963,0.000020966929,0.0000033577073,0.000056667384,0.02642059,0.9620259,0.00024803204,0.0079882825,0.00027723977],"about_ca_topic_score_codex":0.000015883612,"about_ca_topic_score_gemma":0.000010334754,"teacher_disagreement_score":0.24046294,"about_ca_system_score_codex":0.00006731262,"about_ca_system_score_gemma":0.000027715694,"threshold_uncertainty_score":0.90456927},"labels":[],"label_agreement":null},{"id":"W2066385773","doi":"10.3182/20050703-6-cz-1902.00969","title":"ROBUST STABILIZATION OF AN INVERTED PENDULUM USING A SLOW-FAST DECOMPOSITION APPROACH","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Inverted pendulum; Diagonal; Double inverted pendulum; Controller (irrigation); Dimension (graph theory); Decomposition; Mathematics; Computer science; Control engineering; Engineering; Nonlinear system; Physics; Control (management); Artificial intelligence","score_opus":0.023441000177990855,"score_gpt":0.2287265165390024,"score_spread":0.20528551636101153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066385773","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":[0.9709155,0.00021880242,0.025238702,0.000022051741,0.000111875466,0.0003668778,0.000010918196,0.0003286094,0.0027866482],"genre_scores_gemma":[0.9832244,0.000006546401,0.016422773,0.000016566546,0.00021365918,0.000028869448,0.00002218077,0.00003944307,0.000025544816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987626,0.000012860671,0.00042838007,0.00026356467,0.00026115403,0.0002714114],"domain_scores_gemma":[0.9994332,0.000014452686,0.00010100696,0.0001273606,0.00022816817,0.000095810385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024856644,0.00019560101,0.0003007909,0.00014016413,0.00008336887,0.00007566939,0.0001797785,0.0001362967,0.00002699279],"category_scores_gemma":[0.00003360172,0.00021118653,0.00007090167,0.00030430788,0.000055947672,0.0009297661,0.000021365871,0.000121505975,0.0000046499995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016005762,0.0005727605,0.027397268,0.0017873049,0.0002113163,8.959125e-7,0.010474346,0.5638306,0.35295588,0.0014013114,0.00044728702,0.04076094],"study_design_scores_gemma":[0.0005121491,0.000057583697,0.0017471429,0.000059559185,0.000036170626,0.000013801891,0.001614495,0.9883099,0.007123746,0.00006481876,0.0002314903,0.00022913289],"about_ca_topic_score_codex":0.00008927722,"about_ca_topic_score_gemma":0.000028032542,"teacher_disagreement_score":0.42447928,"about_ca_system_score_codex":0.00018300295,"about_ca_system_score_gemma":0.000023820863,"threshold_uncertainty_score":0.86119366},"labels":[],"label_agreement":null},{"id":"W2066937537","doi":"10.3182/20090610-3-it-4004.00018","title":"Towards Optimal Supervisory Control of Probabilistic Discrete Event Systems","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Probabilistic logic; Supervisor; Probabilistic relevance model; Supervisory control; Probabilistic CTL; Event (particle physics); Computer science; Probabilistic analysis of algorithms; Divergence-from-randomness model; Control (management); Artificial intelligence","score_opus":0.019721867806139447,"score_gpt":0.2446622337839562,"score_spread":0.22494036597781678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066937537","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":[0.2721772,0.0022043881,0.7187647,0.0007881337,0.00070747285,0.0009680601,0.000015876949,0.0005006022,0.0038735871],"genre_scores_gemma":[0.9846838,0.000015147957,0.014732546,0.00007998587,0.00016780272,0.00005391218,0.0000011163256,0.000016960736,0.0002487107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99721587,0.000029056753,0.00077624066,0.0006479273,0.0007781832,0.00055271573],"domain_scores_gemma":[0.99852544,0.000046757174,0.00033147243,0.00038656525,0.0005380099,0.00017174117],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085213926,0.0002969215,0.0005792257,0.0002029015,0.00011811067,0.00030008898,0.0014727141,0.00013339879,0.0000041600856],"category_scores_gemma":[0.00023798105,0.00026531075,0.00015832347,0.00053171825,0.00007640329,0.00093370164,0.00016730034,0.00018852956,0.000017761486],"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":[0.00030848934,0.0010793773,0.015166369,0.0034370397,0.0005076239,0.00006637373,0.019966535,0.08836271,0.051283687,0.6888364,0.005552516,0.12543288],"study_design_scores_gemma":[0.0007890201,0.00044135694,0.0020499434,0.0003860949,0.000032029897,0.000079158955,0.00026512126,0.99187106,0.0009261217,0.0018725899,0.00086065364,0.00042687726],"about_ca_topic_score_codex":0.000048874503,"about_ca_topic_score_gemma":4.5212045e-7,"teacher_disagreement_score":0.9035083,"about_ca_system_score_codex":0.00014184027,"about_ca_system_score_gemma":0.0001425071,"threshold_uncertainty_score":0.9999799},"labels":[],"label_agreement":null},{"id":"W2068522180","doi":"10.3182/20090630-4-es-2003.00189","title":"Applications of Fault Diagnosis in Nuclear Power Plants: An Introductory Survey","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Western University","funders":"","keywords":"Nuclear power; Reliability engineering; Reliability (semiconductor); Nuclear power plant; Engineering; Key (lock); Fault (geology); Power (physics); Systems engineering; Computer science; Physics; Computer security; Nuclear physics","score_opus":0.0066954815122133755,"score_gpt":0.21749153641486965,"score_spread":0.21079605490265627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068522180","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":[0.99339,0.00029541858,0.00004587021,0.00009290626,0.00023204979,0.00030236103,0.000029607125,0.00034537402,0.005266391],"genre_scores_gemma":[0.99950886,0.0001060004,0.00008963975,0.00004475225,0.00009859245,0.000064395674,0.0000062170134,0.000022334456,0.000059211245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991809,0.000008195392,0.00028222852,0.00019651662,0.00014047942,0.0001916397],"domain_scores_gemma":[0.9996735,0.00001506748,0.0000488759,0.00011954699,0.00007525094,0.00006777791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021974042,0.00012580887,0.00021404611,0.00017016691,0.00003144411,0.000043421758,0.00020862762,0.0000974335,0.000049644674],"category_scores_gemma":[0.000048542253,0.00013512098,0.000034173234,0.00026067166,0.000021723874,0.00027265842,0.000009076429,0.00013451405,0.00003478092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029677167,0.0011867958,0.37918174,0.00037247213,0.00026176876,0.000005927616,0.012996796,0.0017669654,0.17262316,0.002236154,0.06064078,0.36843067],"study_design_scores_gemma":[0.0016343943,0.00041624554,0.6278476,0.00012692533,0.000019871812,0.000020177302,0.004141068,0.039331697,0.0064777317,0.00031385207,0.31873083,0.0009395845],"about_ca_topic_score_codex":0.0001298159,"about_ca_topic_score_gemma":0.00006322476,"teacher_disagreement_score":0.3674911,"about_ca_system_score_codex":0.000053079086,"about_ca_system_score_gemma":0.000005371714,"threshold_uncertainty_score":0.5510074},"labels":[],"label_agreement":null},{"id":"W2068675110","doi":"10.3182/20050703-6-cz-1902.01221","title":"NONLINEAR FLEXURE CONTROL USING SHAPE MEMORY ALLOY ACTUATORS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Actuator; Control theory (sociology); Nonlinear system; Feedback linearization; Deflection (physics); Miniaturization; Nonlinear control; SMA*; Shape-memory alloy; Controller (irrigation); Feed forward; Engineering; Control engineering; Computer science; Control (management); Physics","score_opus":0.016798664253109486,"score_gpt":0.2560512730894949,"score_spread":0.23925260883638538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068675110","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":[0.9938189,0.00011424816,0.00063652516,0.0009750895,0.00034764907,0.00047604708,0.000055487748,0.0005173158,0.0030587548],"genre_scores_gemma":[0.96638685,0.000009022759,0.031334333,0.00093425595,0.00075248216,0.000039177237,0.0000059752238,0.000057058667,0.00048086766],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978089,0.000015919606,0.0005244666,0.00047022811,0.0005329001,0.0006476296],"domain_scores_gemma":[0.9990654,0.000052683732,0.00019634793,0.0001723425,0.00029265598,0.00022059826],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005390955,0.00032572015,0.0003671941,0.0001689309,0.00040221016,0.00030050357,0.00052837783,0.00017357687,0.002328503],"category_scores_gemma":[0.00016356488,0.00031253978,0.00013229833,0.0002885619,0.00017749929,0.0018437835,0.000060289305,0.00023197774,0.0011398672],"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":[0.0000851865,0.00018017319,0.0019154815,0.000108448396,0.00004194295,0.000004202877,0.0030757643,0.0006723585,0.98132724,0.00035456754,0.0020262476,0.010208392],"study_design_scores_gemma":[0.0029667886,0.000183224,0.0011907733,0.00015648411,0.00023313951,0.00016686485,0.0020995364,0.55621886,0.40160614,0.00016815108,0.03377217,0.0012378531],"about_ca_topic_score_codex":0.000025931835,"about_ca_topic_score_gemma":0.000013710789,"teacher_disagreement_score":0.5797211,"about_ca_system_score_codex":0.00016151981,"about_ca_system_score_gemma":0.00012559455,"threshold_uncertainty_score":0.99993265},"labels":[],"label_agreement":null},{"id":"W2068938125","doi":"10.3182/20110828-6-it-1002.03060","title":"Ensuring Fault Ride Through for Wind Turbines with Doubly Fed Induction Generator: a Model Predictive Control Approach","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Wind Turbine 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 Calgary","funders":"","keywords":"Crowbar; Rotor (electric); Wind power; Control theory (sociology); Induction generator; Fault (geology); Grid code; Engineering; AC power; Grid; Controller (irrigation); Model predictive control; Doubly fed electric machine; Computer science; Control engineering; Voltage; Control (management); Electrical engineering","score_opus":0.023334146137605715,"score_gpt":0.19763700371104892,"score_spread":0.17430285757344322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068938125","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":[0.85273427,0.00053546287,0.13019222,0.000037372112,0.00043383706,0.002288056,0.00008584492,0.0012620245,0.012430908],"genre_scores_gemma":[0.98298734,0.0000078964395,0.014906648,0.000037413378,0.00084952766,0.00076355453,0.0000135509335,0.00015675381,0.00027732548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799204,0.0000073316974,0.0004563904,0.0005683682,0.000334945,0.0006409367],"domain_scores_gemma":[0.9990548,0.000020921145,0.00016388322,0.00018351476,0.00043869647,0.00013817832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002180191,0.0004875435,0.0005745643,0.00013856501,0.00019018502,0.00013544505,0.00027885204,0.00025943556,0.0000038093908],"category_scores_gemma":[0.000049899052,0.0004193559,0.00012736852,0.00023763627,0.00007697767,0.0011371278,0.000028836552,0.00029642173,0.000007154662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005261098,0.0007182039,0.043825768,0.0039679524,0.0047152983,0.000013213609,0.05940597,0.7053682,0.1495531,0.007386567,0.01699474,0.0027898331],"study_design_scores_gemma":[0.004205228,0.00033152007,0.0015469891,0.00010551702,0.00021690501,0.00005450132,0.00089613296,0.97955424,0.011287047,0.00063571794,0.00049171,0.000674501],"about_ca_topic_score_codex":0.00007080893,"about_ca_topic_score_gemma":0.0000057540597,"teacher_disagreement_score":0.274186,"about_ca_system_score_codex":0.00016399525,"about_ca_system_score_gemma":0.000047858844,"threshold_uncertainty_score":0.99982584},"labels":[],"label_agreement":null},{"id":"W2069082054","doi":"10.3182/20060607-3-it-3902.00052","title":"CODIS – A FRAMEWORK FOR CONTINUOUS/DISCRETE SYSTEMS CO-SIMULATION","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Polytechnique Montréal","funders":"","keywords":"SystemC; Computer science; Synchronization (alternating current); Continuous modelling; Discrete system; Discrete modelling; Discrete time and continuous time; Embedded system; Programming language; Mathematics; Channel (broadcasting)","score_opus":0.07174980968908412,"score_gpt":0.4175598896506542,"score_spread":0.3458100799615701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069082054","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":[0.15324858,0.00018582658,0.82876265,0.0008387924,0.00022220924,0.00186054,0.00014987482,0.0005886568,0.014142876],"genre_scores_gemma":[0.971925,0.0000025986628,0.021253366,0.000099688856,0.00043950084,0.0004046766,0.000025806796,0.00002854209,0.0058208164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974691,0.000012399586,0.00081074546,0.0005753846,0.0008113446,0.00032097756],"domain_scores_gemma":[0.99701947,0.0010507809,0.0004977836,0.00026651012,0.001080134,0.00008532402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011035106,0.0001897958,0.00035075223,0.00022241898,0.00038807708,0.00088865246,0.0005028736,0.00020161577,0.0000978787],"category_scores_gemma":[0.0013086597,0.0001589809,0.0001627931,0.0006443444,0.000096410644,0.0004557127,0.00004635353,0.00011803828,0.00014527533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006851909,0.00009776506,0.07647223,0.000040603016,0.000020467174,3.726598e-7,0.0003897412,0.0066156797,0.0012347603,0.7947534,0.1074795,0.012827014],"study_design_scores_gemma":[0.00036177665,0.0000866672,0.010689202,0.000053383366,0.000022994991,0.0000029823507,0.00081183854,0.30699968,0.0013429949,0.3929114,0.28637806,0.00033900366],"about_ca_topic_score_codex":0.000089893656,"about_ca_topic_score_gemma":0.0000020433595,"teacher_disagreement_score":0.8186764,"about_ca_system_score_codex":0.000052879248,"about_ca_system_score_gemma":0.00002870771,"threshold_uncertainty_score":0.8569296},"labels":[],"label_agreement":null},{"id":"W2069302610","doi":"10.3182/20110828-6-it-1002.02310","title":"Stochastic Optimal Control Subject to Ambiguity","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ambiguity; Stochastic control; State space; Optimal control; Subject (documents); Mathematical optimization; Control (management); Continuous-time stochastic process; Mathematics; Stochastic modelling; Stochastic process; State (computer science); Computer science; Stochastic programming; Stochastic optimization; Control theory (sociology); Artificial intelligence; Algorithm; Statistics","score_opus":0.01556168473727519,"score_gpt":0.1985377367427219,"score_spread":0.18297605200544673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069302610","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":[0.9498701,0.00028880886,0.032779407,0.000093397386,0.00059780566,0.0007264887,0.00002235951,0.0009889413,0.014632675],"genre_scores_gemma":[0.99825203,0.0000014803499,0.0010008842,0.000104193525,0.00021367025,0.00017321287,7.6978796e-7,0.00004346968,0.00021025632],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986461,0.0000058839805,0.00031647173,0.00029895533,0.00023572955,0.00049687276],"domain_scores_gemma":[0.99940026,0.00003480664,0.000038722654,0.00014531786,0.00015997868,0.00022094336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028217144,0.00024675785,0.00035966537,0.00011027934,0.00008309604,0.00007407114,0.00030761838,0.00011209759,0.00012209768],"category_scores_gemma":[0.0001522692,0.00024775474,0.00010551101,0.00021666582,0.000048045633,0.00025449664,0.00003087381,0.00016941219,0.00024893574],"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":[0.0054097273,0.0015904917,0.25581256,0.0041851997,0.004122016,0.000114650495,0.15925208,0.08219846,0.19563249,0.027828371,0.09327129,0.17058267],"study_design_scores_gemma":[0.012451421,0.0030450958,0.25926623,0.0008046829,0.0006872568,0.00019702554,0.011704829,0.65508646,0.01982227,0.004448462,0.026250523,0.0062357676],"about_ca_topic_score_codex":0.00017373844,"about_ca_topic_score_gemma":0.000023977449,"teacher_disagreement_score":0.57288796,"about_ca_system_score_codex":0.000101734644,"about_ca_system_score_gemma":0.000019987756,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W2070691615","doi":"10.3182/20080706-5-kr-1001.01555","title":"Dynamic Object Identification by a Moving Robot Using Laser Data","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer vision; Artificial intelligence; Robot; Mobile robot; Object (grammar); Laser; Computer science; Identification (biology); Laser scanning; Optics; Physics","score_opus":0.052577744558761984,"score_gpt":0.31137239776693326,"score_spread":0.2587946532081713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070691615","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":[0.41797546,0.00042724313,0.57975227,0.00030046547,0.00041784186,0.00018668415,0.000018521996,0.00046346357,0.000458051],"genre_scores_gemma":[0.82584214,0.00007482098,0.17318504,0.00010584185,0.000053024858,0.0000077344375,0.000020801719,0.000021528007,0.00068908394],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802357,0.000028487355,0.00034634065,0.00080848584,0.00039775626,0.00039533435],"domain_scores_gemma":[0.9988073,0.000057887813,0.00022708786,0.0006360049,0.000183631,0.00008806687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009174535,0.0001942244,0.00022908456,0.00011112782,0.0005004431,0.0004564234,0.0017222789,0.00008604226,0.0000073747174],"category_scores_gemma":[0.00024833344,0.00020056155,0.000050159364,0.00053423404,0.00008738371,0.0025446373,0.00057462096,0.00018035663,0.000043676362],"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":[0.000056897396,0.0006318501,0.19971336,0.00048055584,0.00033763325,0.000101016725,0.008059915,0.00091974833,0.4137684,0.0012843867,0.056527328,0.3181189],"study_design_scores_gemma":[0.00036509108,0.000037865437,0.035410658,0.00006324988,0.000019244666,0.00023032636,0.0000944177,0.94733673,0.011862221,0.0012574298,0.0027578843,0.00056490226],"about_ca_topic_score_codex":0.00016850335,"about_ca_topic_score_gemma":0.000012392489,"teacher_disagreement_score":0.946417,"about_ca_system_score_codex":0.000074134354,"about_ca_system_score_gemma":0.00008601411,"threshold_uncertainty_score":0.81786627},"labels":[],"label_agreement":null},{"id":"W2071758734","doi":"10.3182/20080706-5-kr-1001.00911","title":"An Adaptive Depth of Field Imaging System for Visual Servoing","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Image Processing Techniques and Applications","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":"Toronto Metropolitan University","funders":"","keywords":"Visual servoing; Computer vision; Artificial intelligence; Computer science; Field of view; Scheme (mathematics); Field (mathematics); Visualization; Depth of field; Image (mathematics); Mathematics","score_opus":0.012930172460506907,"score_gpt":0.25648942811103215,"score_spread":0.24355925565052525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071758734","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":[0.48324713,0.0003826492,0.5087112,0.000055535293,0.00008040942,0.00047875225,0.000012273942,0.0018146669,0.0052173925],"genre_scores_gemma":[0.9219014,0.000011509191,0.077754766,0.000019677018,0.000092383045,0.00014424276,0.0000034262384,0.000037857466,0.000034718705],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993035,0.0000012353881,0.00021359652,0.00017203062,0.000098630684,0.00021100942],"domain_scores_gemma":[0.99959254,0.000021182766,0.00006357285,0.000071978415,0.0001997232,0.00005101833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084422485,0.0001298023,0.0001710502,0.000077641045,0.00014536336,0.000033137734,0.00017313246,0.000053297346,0.0000022485601],"category_scores_gemma":[0.000016534348,0.00013843275,0.000052577438,0.00015171288,0.000034960794,0.00036209173,0.000020213605,0.00008724276,0.0000020880154],"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":[0.00018664062,0.00032656905,0.044815596,0.006420178,0.00019256512,0.000010458771,0.008858671,0.001095604,0.72585,0.0148321,0.023281673,0.17412995],"study_design_scores_gemma":[0.00020171034,0.00012751188,0.0005199113,0.00019840848,0.000025508818,0.000047039648,0.0010868085,0.53885037,0.45752966,0.0003090781,0.0008406807,0.0002633114],"about_ca_topic_score_codex":0.000022353306,"about_ca_topic_score_gemma":0.0000012248559,"teacher_disagreement_score":0.5377548,"about_ca_system_score_codex":0.000042461284,"about_ca_system_score_gemma":0.000017216642,"threshold_uncertainty_score":0.5645124},"labels":[],"label_agreement":null},{"id":"W2072325234","doi":"10.3182/20130925-3-cz-3023.00029","title":"Multiple Frequencies Precise GNSS RTK System Research in Dynamic Mode","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"GNSS applications; GLONASS; Global Positioning System; Geodetic datum; General Packet Radio Service; GSM; Computer science; Metre; Satellite system; Real Time Kinematic; Real-time computing; Remote sensing; Geodesy; Telecommunications; Geography","score_opus":0.023336335146706865,"score_gpt":0.26684049860385306,"score_spread":0.2435041634571462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072325234","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":[0.9614581,0.00041142004,0.00023051978,0.00006592718,0.00019511308,0.0003793195,0.000008682607,0.00058900355,0.036661927],"genre_scores_gemma":[0.9976911,0.000040751944,0.0012343022,0.0000048677116,0.00004876346,0.00035808666,0.000004974353,0.00004238014,0.00057476724],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856013,0.00001168318,0.0002865943,0.00028260684,0.0003038438,0.00055512384],"domain_scores_gemma":[0.99943435,0.000059279595,0.000026183496,0.00013054504,0.00024759886,0.00010205876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002479772,0.00017617387,0.00020681188,0.00030191406,0.00012148322,0.00025590087,0.00033072033,0.00013140315,0.000024935047],"category_scores_gemma":[0.00008116527,0.00017647078,0.000040715455,0.00037931208,0.000092630784,0.000634837,0.00006313485,0.0004363971,0.000491083],"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":[0.00006610437,0.0003454156,0.17027974,0.008116266,0.00020674424,0.000024249794,0.031536967,0.01783957,0.6865772,0.012944088,0.041444473,0.030619195],"study_design_scores_gemma":[0.0002750452,0.0000646652,0.014215647,0.0010598939,0.000004352527,0.000019076511,0.0043518324,0.96809894,0.010652753,0.00076697476,0.00018876104,0.00030204564],"about_ca_topic_score_codex":0.0007756449,"about_ca_topic_score_gemma":0.00007020335,"teacher_disagreement_score":0.9502594,"about_ca_system_score_codex":0.00038851707,"about_ca_system_score_gemma":0.000020582014,"threshold_uncertainty_score":0.719627},"labels":[],"label_agreement":null},{"id":"W2072472026","doi":"10.3182/20130714-3-fr-4040.00004","title":"Multiscale Dynamics and Thermodynamics in Spaces Equipped with Contact Structure","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","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":"Polytechnique Montréal","funders":"","keywords":"Dynamics (music); Statistical physics; Thermodynamics; Contact dynamics; Physics; Classical mechanics","score_opus":0.0031093712011862145,"score_gpt":0.20488935899703947,"score_spread":0.20177998779585327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072472026","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":[0.9613739,0.00002662402,0.03464966,0.00014842441,0.000039817965,0.0004186197,0.00012574637,0.000037388578,0.0031797702],"genre_scores_gemma":[0.99041694,0.0000046368236,0.009110804,0.000027467635,0.000042866654,0.000043522716,0.0000304867,0.00003965846,0.00028362568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989197,0.0000055968376,0.00019878849,0.00034732634,0.00014531738,0.00038325792],"domain_scores_gemma":[0.9995308,0.000041859235,0.000112385205,0.00008766754,0.00010875877,0.00011855728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000410781,0.00024952315,0.00028353714,0.00006131579,0.000090883215,0.00017381116,0.00013805409,0.00006756582,0.00017414357],"category_scores_gemma":[0.0000094442385,0.00019799142,0.000026189487,0.00014517251,0.0000708493,0.00035069854,0.00007354908,0.0002550375,0.000006014284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042007694,0.00007349611,0.15750879,0.00004959371,0.00005652994,0.000002093669,0.000541219,0.00005316247,0.0056511993,0.7669654,0.00001476608,0.06904174],"study_design_scores_gemma":[0.00082754355,0.0001456535,0.039308343,0.00006275272,0.000018282555,0.0000035748612,0.0019301196,0.7770472,0.00012993958,0.18012363,0.000024574632,0.00037835704],"about_ca_topic_score_codex":0.00041370877,"about_ca_topic_score_gemma":0.0001534345,"teacher_disagreement_score":0.77699405,"about_ca_system_score_codex":0.000051606745,"about_ca_system_score_gemma":0.00001907529,"threshold_uncertainty_score":0.80738556},"labels":[],"label_agreement":null},{"id":"W2072988429","doi":"10.3182/20020721-6-es-1901.00198","title":"POSITIVE REALNESS AND THE ANALYSIS OF A CLASS OF 2D LINEAR SYSTEMS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Iterative Learning 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":"","keywords":"Controller (irrigation); Iterative learning control; Class (philosophy); Linear system; Control theory (sociology); Feature (linguistics); Computer science; Mathematics; Engineering; Control engineering; Control (management); Artificial intelligence; Mathematical analysis","score_opus":0.006603537551872272,"score_gpt":0.19491491663234706,"score_spread":0.1883113790804748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072988429","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":[0.9872923,0.0032267682,0.000682898,0.00010006987,0.000121566285,0.0003818222,0.000029437084,0.00010581263,0.00805936],"genre_scores_gemma":[0.9992478,0.000050479714,0.00006540268,0.0000070392375,0.00006478679,0.00003159561,0.0000020550183,0.00002055293,0.0005103063],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990561,0.000026761418,0.00038567864,0.00015275873,0.0002120067,0.00016668033],"domain_scores_gemma":[0.9992565,0.00016654057,0.0001756237,0.000097501244,0.00026847533,0.000035394747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034583814,0.00014423195,0.0005956114,0.00022789842,0.00004878847,0.00004552394,0.00013571297,0.000076983066,0.000010291127],"category_scores_gemma":[0.00013662105,0.0001051363,0.000112545684,0.0006701122,0.00015630011,0.0001331736,0.000025768672,0.00013404105,0.0000034185994],"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":[0.00075852603,0.0003320384,0.33272102,0.007921669,0.03819656,0.000018041594,0.22910398,0.15499882,0.11500115,0.089995116,0.0071640713,0.023788985],"study_design_scores_gemma":[0.00067988207,0.000036695103,0.009026613,0.00012648538,0.00054261833,0.0000042344313,0.0010864557,0.98708516,0.0006515789,0.000011679969,0.00062275,0.0001258562],"about_ca_topic_score_codex":0.00016765154,"about_ca_topic_score_gemma":0.0000052112446,"teacher_disagreement_score":0.8320863,"about_ca_system_score_codex":0.00002795244,"about_ca_system_score_gemma":0.0000026593134,"threshold_uncertainty_score":0.4287334},"labels":[],"label_agreement":null},{"id":"W2073342064","doi":"10.3182/20120711-3-be-2027.00283","title":"Robust and Trend-following Kalman Smoothers using Student's t","year":2012,"lang":"en","type":"preprint","venue":"IFAC Proceedings Volumes","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Outlier; Kalman filter; Maximum a posteriori estimation; Solver; Estimator; Student's t-distribution; Computer science; Noise (video); Nonlinear system; Algorithm; Gaussian; Convergence (economics); Mathematical optimization; Mathematics; Artificial intelligence; Maximum likelihood; Statistics; Image (mathematics); Econometrics","score_opus":0.0459913098270697,"score_gpt":0.27775485114866566,"score_spread":0.23176354132159596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073342064","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":[0.9451024,0.005300616,0.038444653,0.000336178,0.0050322753,0.00052387686,0.000027169914,0.0011388405,0.004094002],"genre_scores_gemma":[0.88307226,0.00018065501,0.11522954,0.00017235796,0.0008454117,0.000027402706,0.000018663368,0.00007654574,0.0003771411],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99666977,0.00002732104,0.00053218676,0.0012449694,0.0006858817,0.0008398654],"domain_scores_gemma":[0.99854356,0.000062328414,0.00041322972,0.0005580388,0.00009946302,0.00032336765],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00065184705,0.00058643415,0.00062497216,0.00028991996,0.00042309795,0.0015230286,0.0017047864,0.00048736043,0.000021838616],"category_scores_gemma":[0.00004718448,0.00058351475,0.00023352128,0.0003338298,0.00010634155,0.0010516243,0.0033218989,0.0009220216,0.000015481943],"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":[0.000057928653,0.0009635639,0.6708216,0.0017347462,0.0016582204,0.0001591775,0.04718468,0.009554772,0.0036665092,0.0227662,0.035982184,0.2054504],"study_design_scores_gemma":[0.003676429,0.00027941057,0.10014702,0.0053106816,0.001322418,0.00046656813,0.004619107,0.7891363,0.0012756095,0.0104381405,0.073973015,0.0093553085],"about_ca_topic_score_codex":0.00014164668,"about_ca_topic_score_gemma":0.000008250594,"teacher_disagreement_score":0.77958155,"about_ca_system_score_codex":0.00011815422,"about_ca_system_score_gemma":0.00006001075,"threshold_uncertainty_score":0.9996616},"labels":[],"label_agreement":null},{"id":"W2073671621","doi":"10.3182/20140824-6-za-1003.01495","title":"A variance reduction technique for identification in dynamic networks","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Reduction (mathematics); Variance (accounting); Interconnection; Computer science; Noise (video); Variance reduction; Engineering; Mathematics; Telecommunications; Artificial intelligence","score_opus":0.00407414572141663,"score_gpt":0.20440634033871508,"score_spread":0.20033219461729845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073671621","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":[0.0804083,0.00026398254,0.9162024,0.00012419572,0.0007462663,0.0012369304,0.0000030072722,0.00037918682,0.0006357158],"genre_scores_gemma":[0.9968168,0.000030101173,0.0013059092,0.0000034872564,0.00018306266,0.0010953526,0.000013311539,0.000029601433,0.0005223715],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920803,0.000004433881,0.00031060303,0.0002151413,0.00007650964,0.00018525124],"domain_scores_gemma":[0.9996874,0.0000117560385,0.00007682276,0.00009572895,0.00010072743,0.00002760849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004970358,0.00010456909,0.00013985588,0.0001286825,0.00005376768,0.00010718016,0.00010872385,0.00010801766,0.0000024976678],"category_scores_gemma":[0.00006497011,0.000121259276,0.00003901355,0.0002220383,0.000013278585,0.0003319076,0.0000075044827,0.00009102272,0.000008463697],"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":[0.00002600484,0.000039032904,0.0013022097,0.0005067055,0.000026774416,8.432862e-8,0.00048219666,0.012882202,0.9159743,0.0071338406,0.0032493933,0.058377247],"study_design_scores_gemma":[0.00023964247,0.00001691444,0.009302207,0.00008083555,0.000010296958,0.0000061412115,0.00006166657,0.97911745,0.00485573,0.0018027107,0.0043408168,0.00016558469],"about_ca_topic_score_codex":0.000025386478,"about_ca_topic_score_gemma":0.000013624866,"teacher_disagreement_score":0.9662353,"about_ca_system_score_codex":0.00011976247,"about_ca_system_score_gemma":0.0000045390866,"threshold_uncertainty_score":0.494481},"labels":[],"label_agreement":null},{"id":"W2074053443","doi":"10.3182/20070625-5-fr-2916.00099","title":"CONTROL OF MARS GUIDED ENTRY (PART II): ROBUST NONLINEAR DYNAMICS INVERSION","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NGC Aerospace (Canada)","funders":"","keywords":"Mars Exploration Program; Inversion (geology); Nonlinear system; Control theory (sociology); Astrobiology; Computer science; Control engineering; Aerospace engineering; Engineering; Control (management); Geology; Physics; Artificial intelligence; Geomorphology","score_opus":0.011735388975452229,"score_gpt":0.2085164014151456,"score_spread":0.19678101243969337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074053443","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":[0.94604045,0.00066768815,0.03318305,0.0001952027,0.0010987596,0.0007010497,0.00009681053,0.00067419774,0.017342767],"genre_scores_gemma":[0.9899598,0.000035568602,0.008055326,0.00006947166,0.0005822932,0.000009410384,0.000021770516,0.00008289927,0.0011834961],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998036,0.000005696428,0.00071890594,0.000289708,0.00041580194,0.000533864],"domain_scores_gemma":[0.99899644,0.000062878134,0.00020162674,0.00015922853,0.00040153507,0.00017830469],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056218647,0.00031067026,0.0005117383,0.00022567587,0.00009758657,0.000032186486,0.00032087538,0.00023323977,0.000042175947],"category_scores_gemma":[0.00017427737,0.0003255078,0.00015360334,0.00030474045,0.00010070867,0.0003312828,0.00007912202,0.0002648632,0.000043329783],"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":[0.0017229441,0.0012019223,0.37820542,0.004750032,0.003298223,0.00017527794,0.004786741,0.047195904,0.18093202,0.014409145,0.28862604,0.074696325],"study_design_scores_gemma":[0.002167625,0.00017228749,0.0017700489,0.00022401623,0.00008917429,0.000025373223,0.0006687501,0.9503151,0.0056340494,0.00003892995,0.038411118,0.00048354056],"about_ca_topic_score_codex":0.000041945237,"about_ca_topic_score_gemma":0.000045695448,"teacher_disagreement_score":0.9031192,"about_ca_system_score_codex":0.00026637813,"about_ca_system_score_gemma":0.000029597068,"threshold_uncertainty_score":0.9999197},"labels":[],"label_agreement":null},{"id":"W2074434413","doi":"10.3182/20050703-6-cz-1902.00374","title":"STABILIZATION OF UNCERTAIN MARKOVIAN JUMP SINGULAR SYSTEMS WITH WIENER PROCESS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Mathematics; Markov process; Robustness (evolution); Impulse (physics); Jump; Wiener process; Linear matrix inequality; Stability (learning theory); Applied mathematics; Mathematical optimization; Computer science; Control (management)","score_opus":0.006698061793753555,"score_gpt":0.20240220674736722,"score_spread":0.19570414495361366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074434413","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":[0.98631555,0.0015802814,0.003375195,0.000113432885,0.00019228963,0.0007165406,0.0000124485705,0.00049211923,0.007202124],"genre_scores_gemma":[0.9986344,0.000015721034,0.0006474468,0.000016249298,0.00023582454,0.00012156825,0.000006239595,0.000057878384,0.00026468403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836165,0.0000099236795,0.0004898526,0.0003095521,0.00045035893,0.00037864823],"domain_scores_gemma":[0.99908775,0.00003372212,0.00013959747,0.00016306576,0.00047035757,0.00010551436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003013193,0.00026984216,0.00042419182,0.00014122752,0.00007500033,0.00009965886,0.00023832476,0.00013429884,0.000026016502],"category_scores_gemma":[0.000066967536,0.00023303364,0.000059983555,0.00044511238,0.000100972764,0.0005695644,0.000014504965,0.0001314356,0.000009276175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061686855,0.0004795262,0.3673287,0.01357112,0.0007953057,0.000008554562,0.022106405,0.51228815,0.03785734,0.006863896,0.0026363079,0.03544785],"study_design_scores_gemma":[0.0020730728,0.0003999838,0.0047010267,0.0010301791,0.00014908779,0.00003986545,0.008757964,0.95158696,0.011159872,0.00025782012,0.01873024,0.0011139042],"about_ca_topic_score_codex":0.00007096489,"about_ca_topic_score_gemma":0.00003452404,"teacher_disagreement_score":0.43929887,"about_ca_system_score_codex":0.00016218334,"about_ca_system_score_gemma":0.00005254784,"threshold_uncertainty_score":0.95028365},"labels":[],"label_agreement":null},{"id":"W2075233922","doi":"10.3182/20120620-3-dk-2025.00159","title":"On the Design of Hybrid Robust Output Regulation for the METIS Cold Chopper","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"ASTRON; Ministry of Economy, Trade and Industry; Rijksuniversiteit Groningen","keywords":"Metis; Chopper; Spectrograph; Feed forward; Controller (irrigation); Control theory (sociology); Engineering; Control engineering; Computer science; Control (management); Physics; Electrical engineering; Artificial intelligence; Astronomy","score_opus":0.023990445082631418,"score_gpt":0.2058146236026442,"score_spread":0.18182417852001276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075233922","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":[0.011237627,0.00089512055,0.9847155,0.0003191241,0.00035189823,0.0014605296,0.000009739419,0.00018231984,0.00082811795],"genre_scores_gemma":[0.99147105,0.000029965451,0.0072652353,0.00004182375,0.00021493314,0.00036516486,0.000001822797,0.0000455405,0.00056443276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992519,0.000007719462,0.00021898713,0.00010516899,0.00017230037,0.00024393736],"domain_scores_gemma":[0.99927884,0.0003172155,0.00010298441,0.00011908374,0.00014908725,0.00003279239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044226434,0.0001369642,0.00015329357,0.000044983248,0.00012109264,0.00003707538,0.0001631375,0.000040057752,0.000014348094],"category_scores_gemma":[0.00026458854,0.00008682241,0.000055505745,0.00012007453,0.000032799646,0.0003256323,0.000013565897,0.00007826927,0.000009172492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041821124,0.000018084665,0.0004717161,0.00008398771,0.000101330545,2.803933e-8,0.00053183455,0.94837576,0.012940579,0.016817033,0.01755557,0.0030622229],"study_design_scores_gemma":[0.0003147929,0.00004332788,0.00054537016,0.00005810914,0.000054935215,0.000002826078,0.00016468606,0.97621465,0.017606927,0.0005584332,0.0042895554,0.0001463982],"about_ca_topic_score_codex":0.0000033913564,"about_ca_topic_score_gemma":2.7841497e-7,"teacher_disagreement_score":0.98023343,"about_ca_system_score_codex":0.00006873218,"about_ca_system_score_gemma":0.000005767899,"threshold_uncertainty_score":0.3540515},"labels":[],"label_agreement":null},{"id":"W2075513655","doi":"10.3182/20090712-4-tr-2008.00059","title":"Robust Nonlinear Model Predictive Control using Volterra Models and the Structured Singular Value (μ)","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Volterra series; Model predictive control; Nonlinear system; Control theory (sociology); Mathematics; Singular value; Mathematical optimization; Function (biology); Bellman equation; Penalty method; Value (mathematics); Applied mathematics; Computer science; Control (management); Artificial intelligence; Statistics","score_opus":0.011804590602495304,"score_gpt":0.2044851794397841,"score_spread":0.19268058883728878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075513655","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":[0.05971613,0.0012189386,0.9366599,0.0001264998,0.00011727509,0.0008033025,0.000021326936,0.00045860856,0.0008780327],"genre_scores_gemma":[0.94634986,0.00004222025,0.053152412,0.00012182348,0.00021339873,0.000024683592,0.0000036406914,0.000054031847,0.000037937007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986784,0.000010995237,0.00035853745,0.00031627473,0.00026500676,0.00037077838],"domain_scores_gemma":[0.99941844,0.000028178601,0.00011461528,0.00013450964,0.00021212928,0.00009211933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019735565,0.00030441812,0.00041627025,0.000091643626,0.00019876429,0.00015782042,0.00018554974,0.00015031596,0.0000013251157],"category_scores_gemma":[0.00007190768,0.00024496342,0.00007307553,0.00016896098,0.00010723236,0.00086912554,0.000022932827,0.00023997217,6.847197e-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":[0.00010071645,0.0000059237145,0.000038611917,0.000027403126,0.000060434053,5.7611817e-7,0.00092250184,0.99056154,0.0039155427,0.0033941236,0.000028403581,0.00094423536],"study_design_scores_gemma":[0.002512723,0.000033708708,0.000039667804,0.000060315593,0.00009333962,0.000021183427,0.00015025707,0.9837341,0.00019614385,0.012894375,0.0000110014125,0.0002532235],"about_ca_topic_score_codex":0.000009944554,"about_ca_topic_score_gemma":8.1596033e-7,"teacher_disagreement_score":0.8866337,"about_ca_system_score_codex":0.0001215272,"about_ca_system_score_gemma":0.000021686761,"threshold_uncertainty_score":0.9989319},"labels":[],"label_agreement":null},{"id":"W2075535358","doi":"10.3182/20080706-5-kr-1001.01246","title":"A Diagnostic Model For Identifying Parametric Faults","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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 New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault detection and isolation; Parametric statistics; Residual; Identifier; Interconnection; Fault (geology); Engineering; Parametric model; Identification (biology); Control theory (sociology); Computer science; Algorithm; Mathematics; Artificial intelligence; Statistics","score_opus":0.029868884740896374,"score_gpt":0.24396082351270235,"score_spread":0.21409193877180596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075535358","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":[0.9466658,0.00088728836,0.048080735,0.000036477566,0.00055097614,0.00064742623,0.000014503682,0.0010946923,0.00202207],"genre_scores_gemma":[0.9963255,0.00009466267,0.0013432726,0.000034293247,0.00017682694,0.00042905752,0.0000024000328,0.000052377578,0.0015415986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989493,0.0000017603805,0.00027511056,0.0002272687,0.00019555543,0.0003509884],"domain_scores_gemma":[0.9995577,0.00010440454,0.0000462844,0.00007679608,0.00011139087,0.00010347515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105135834,0.00018179131,0.00023726924,0.00021233084,0.00017751518,0.000056690555,0.0001509682,0.00010647518,0.000006377178],"category_scores_gemma":[0.00044051345,0.0001899226,0.00011768669,0.00036182223,0.000027352948,0.00029881945,0.000015776786,0.000120447956,0.00006985966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034760663,0.0005267581,0.093040586,0.0070945076,0.0014419466,0.000073385796,0.026586311,0.4622416,0.08802509,0.004601828,0.22962356,0.086396836],"study_design_scores_gemma":[0.0005844455,0.000030062965,0.0012713172,0.000041881616,0.000019686482,0.000045654404,0.00014558669,0.99327606,0.0012459726,0.00029717232,0.002799281,0.00024285774],"about_ca_topic_score_codex":0.00001597022,"about_ca_topic_score_gemma":0.000004792826,"teacher_disagreement_score":0.53103447,"about_ca_system_score_codex":0.00007618718,"about_ca_system_score_gemma":0.000013467304,"threshold_uncertainty_score":0.7744819},"labels":[],"label_agreement":null},{"id":"W2075666469","doi":"10.3182/20050703-6-cz-1902.01772","title":"IDENTIFICATION OF A STATE SPACE MODEL FOR A SYNCHRONOUS MACHINE","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","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 Calgary","funders":"","keywords":"Identification (biology); State space; State-space representation; State (computer science); Space (punctuation); System identification; Computer science; Control engineering; Engineering; Mathematics; Algorithm; Operating system; Software engineering; Data modeling; Statistics","score_opus":0.007381692339407997,"score_gpt":0.2183934022368907,"score_spread":0.2110117098974827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075666469","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":[0.22849186,0.00030204578,0.76891834,0.00014809893,0.000091091635,0.00048128134,0.000118480726,0.00032191936,0.0011269129],"genre_scores_gemma":[0.9882654,0.000026130057,0.010535148,0.000008939972,0.000016941982,0.00007090655,0.00000657077,0.00002531378,0.001044644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992292,0.0000016748126,0.00033935643,0.00015168058,0.0001125207,0.0001655889],"domain_scores_gemma":[0.9995967,0.000011014259,0.00008093239,0.00008726674,0.0001744119,0.00004965627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020821339,0.00010887103,0.00016791018,0.00006977545,0.000037165773,0.00003680103,0.000109038636,0.000043986354,0.0000117791915],"category_scores_gemma":[0.00005462713,0.00011451242,0.000054429445,0.0001126915,0.00002267674,0.00026390003,0.000012891951,0.000046217403,0.0000068048253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005525768,0.00012757046,0.0031660844,0.0015635565,0.00009322586,9.416719e-8,0.009193499,0.9280514,0.039691523,0.00219181,0.004972482,0.010893473],"study_design_scores_gemma":[0.0002336999,0.000013337939,0.00019801105,0.000014754158,0.00001093534,0.0000012535442,0.000056059627,0.98671484,0.011482666,0.0002062776,0.0009548561,0.000113314265],"about_ca_topic_score_codex":0.0000041730123,"about_ca_topic_score_gemma":0.000013224591,"teacher_disagreement_score":0.75977355,"about_ca_system_score_codex":0.00008051342,"about_ca_system_score_gemma":0.000016314909,"threshold_uncertainty_score":0.46696812},"labels":[],"label_agreement":null},{"id":"W2075816587","doi":"10.3182/20140824-6-za-1003.00630","title":"Collective Target Tracking Mean Field Control for Markovian Jump-Driven Models of Electric Water Heating Loads","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Control theory (sociology); Electric power system; Markov process; Jump; Computer science; Simulation; Engineering; Power (physics); Control (management); Mathematics; Physics","score_opus":0.007557996473183162,"score_gpt":0.19143137049267786,"score_spread":0.1838733740194947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075816587","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":[0.5706523,0.00015165954,0.40543586,0.0002555689,0.00053398486,0.0010734758,0.000010611759,0.0006390383,0.021247486],"genre_scores_gemma":[0.99271405,0.000007702404,0.0061596627,0.00011841322,0.00028454253,0.00020838338,0.000005778246,0.00007686925,0.0004245831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984865,0.000008692469,0.00039010614,0.0003141394,0.00022875959,0.0005718133],"domain_scores_gemma":[0.9993977,0.00011142919,0.00007157497,0.000117285235,0.00022117545,0.000080865444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002978622,0.00026378207,0.00041455912,0.00025055802,0.000122062775,0.00007270624,0.00024762566,0.0001221507,0.000027295968],"category_scores_gemma":[0.00009904591,0.00024405183,0.00013497582,0.00023607016,0.000019989742,0.00036762247,0.00004054356,0.00015430324,0.0000044478434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025540264,0.0001083943,0.01880782,0.00139854,0.00086569926,0.000001476806,0.0068440367,0.8249696,0.11475711,0.005543096,0.014738329,0.011710514],"study_design_scores_gemma":[0.00083067076,0.00020438289,0.0002902186,0.00005413162,0.000059331687,0.0000015688418,0.00013485603,0.8491893,0.14426768,0.00347209,0.0012179628,0.0002778022],"about_ca_topic_score_codex":0.000042595904,"about_ca_topic_score_gemma":0.00001041323,"teacher_disagreement_score":0.42206174,"about_ca_system_score_codex":0.00018644452,"about_ca_system_score_gemma":0.000017946391,"threshold_uncertainty_score":0.99521446},"labels":[],"label_agreement":null},{"id":"W2076912636","doi":"10.3182/20080706-5-kr-1001.01340","title":"Correction for Non-identical Units in Multi-unit Optimization","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Unit (ring theory); Computer science; Mathematics; Mathematics education","score_opus":0.027877456460884423,"score_gpt":0.2347886182058053,"score_spread":0.20691116174492086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076912636","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":[0.42239383,0.0001711172,0.5693028,0.00004937142,0.0025318814,0.0011012553,0.000007050384,0.00092107203,0.0035215996],"genre_scores_gemma":[0.9915715,0.00002964836,0.006437897,0.000013328805,0.00016654066,0.00013883939,0.000011054435,0.00005840554,0.0015728093],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990186,0.0000037533682,0.00032716515,0.00020165613,0.00014530019,0.00030348625],"domain_scores_gemma":[0.99953926,0.000051145573,0.000050686125,0.00006372525,0.00023065683,0.00006452872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016327617,0.00016501016,0.00022290983,0.00021618353,0.00009548032,0.000052880707,0.00012265956,0.00013908712,0.000008407245],"category_scores_gemma":[0.00034356394,0.00018943858,0.000039562292,0.00045499255,0.000029460574,0.00036771304,0.000016087675,0.00015427863,0.00002135528],"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":[0.00014179031,0.00024886103,0.440204,0.0009797646,0.00016559043,0.00001972216,0.009925217,0.42610082,0.0767118,0.00023787728,0.03992481,0.005339743],"study_design_scores_gemma":[0.00092180964,0.000033765675,0.009041816,0.00010382478,0.000010337603,0.00002934505,0.00019508669,0.987806,0.0005335095,0.00000824708,0.0011144158,0.00020184262],"about_ca_topic_score_codex":0.000059470152,"about_ca_topic_score_gemma":0.000040196708,"teacher_disagreement_score":0.5691776,"about_ca_system_score_codex":0.00011398183,"about_ca_system_score_gemma":0.00002165797,"threshold_uncertainty_score":0.77250814},"labels":[],"label_agreement":null},{"id":"W2077713990","doi":"10.3182/20050703-6-cz-1902.01554","title":"ON THE STATE AGREEMENT PROBLEM FOR MULTIPLE NONLINEAR DYNAMICAL SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nonlinear system; Nonlinear dynamical systems; Dynamical systems theory; Control theory (sociology); Synchronization (alternating current); Coincidence; State (computer science); Rendezvous; Mathematics; Controller (irrigation); Graph; Multi-agent system; Complex system; Computer science; Topology (electrical circuits); Physics; Discrete mathematics; Algorithm; Control (management); Spacecraft; Artificial intelligence; Combinatorics","score_opus":0.013989076979579764,"score_gpt":0.22921881492358515,"score_spread":0.21522973794400538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077713990","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":[0.3217896,0.00048122928,0.64618593,0.01569264,0.0015247926,0.008800558,0.00035011338,0.0013237551,0.0038513637],"genre_scores_gemma":[0.9788158,0.000005050709,0.01697421,0.00032952713,0.00030603804,0.0008674803,0.000012891979,0.000029655192,0.0026593308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974361,0.000023778979,0.0005593478,0.0006705642,0.0006202,0.0006899924],"domain_scores_gemma":[0.99849486,0.00027094307,0.0003018894,0.0003694136,0.00040403602,0.00015882801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008152505,0.00031045938,0.00032769958,0.00009634046,0.00029862297,0.0007875364,0.0014376125,0.00008894823,0.0000056775966],"category_scores_gemma":[0.0002517947,0.00021917789,0.00014909393,0.00028412012,0.00005764075,0.00056618283,0.00020195416,0.00019602456,0.00025392626],"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":[0.0004825873,0.002527642,0.009869733,0.0014173408,0.0011172999,0.000016358765,0.01006677,0.018969748,0.018913105,0.61111075,0.18261334,0.14289533],"study_design_scores_gemma":[0.0010575232,0.00018826136,0.00021016835,0.00010822738,0.000012334798,0.000008179514,0.00013532166,0.9473955,0.0006083784,0.00068254734,0.049303878,0.00028966836],"about_ca_topic_score_codex":0.000076742275,"about_ca_topic_score_gemma":0.000020618047,"teacher_disagreement_score":0.9284258,"about_ca_system_score_codex":0.00025094964,"about_ca_system_score_gemma":0.0000612121,"threshold_uncertainty_score":0.8937815},"labels":[],"label_agreement":null},{"id":"W2077945094","doi":"10.3182/20050703-6-cz-1902.01716","title":"OPTIMIZATION-FREE CONSTRAINED NONLINEAR PREDICTIVE CONTROL – MINERAL PROCESSING APPLICATIONS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Université Laval","funders":"","keywords":"Model predictive control; Minification; Nonlinear system; Mathematical optimization; Computer science; Simple (philosophy); Function (biology); Scheme (mathematics); Nonlinear programming; Mineral processing; Control theory (sociology); Control (management); Algorithm; Mathematics; Artificial intelligence","score_opus":0.0034264241513731353,"score_gpt":0.19583867704553187,"score_spread":0.19241225289415873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077945094","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":[0.0013702451,0.0007458894,0.9821412,0.00040711783,0.0000867622,0.0012349711,0.00009754191,0.0016077923,0.012308483],"genre_scores_gemma":[0.782546,0.000031289568,0.21515302,0.000103023005,0.0008934612,0.000747156,0.000041463965,0.00009433919,0.0003902502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848324,0.0000051536845,0.0004818434,0.00034870027,0.00026890266,0.00041215753],"domain_scores_gemma":[0.99904895,0.000031255604,0.0001447343,0.0001743548,0.00045753614,0.00014314838],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011728851,0.00029896013,0.00032299617,0.00015671809,0.00018204188,0.00014841328,0.00031980887,0.00015409115,0.000037886486],"category_scores_gemma":[0.00010784299,0.00032561677,0.00006712662,0.00039064698,0.000097661614,0.0010266502,0.000030325644,0.00019297848,0.000026321048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020098523,0.00003133793,0.00056320895,0.00009519323,0.000052221603,3.3972634e-7,0.0002573634,0.9860493,0.0015346264,0.0002883408,0.0007625959,0.010345375],"study_design_scores_gemma":[0.0016623653,0.000031900512,0.00007486963,0.00005187063,0.000054315096,0.000016356986,0.0001757873,0.9903103,0.00025135512,0.000096312404,0.0069499128,0.00032463518],"about_ca_topic_score_codex":0.000002501378,"about_ca_topic_score_gemma":0.000003645629,"teacher_disagreement_score":0.78117573,"about_ca_system_score_codex":0.00018054791,"about_ca_system_score_gemma":0.000046237346,"threshold_uncertainty_score":0.9999196},"labels":[],"label_agreement":null},{"id":"W2078963665","doi":"10.3182/20131218-3-in-2045.00106","title":"Bayesian identification of non-linear state-space models: Part II- Error analysis","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Markov chain Monte Carlo; Bayesian probability; Monte Carlo method; State space; Mathematics; Algorithm; Mean squared error; Identification (biology); Markov chain; Applied mathematics; State-space representation; Upper and lower bounds; Mathematical optimization; Computer science; Statistics","score_opus":0.01689241883103049,"score_gpt":0.24516526416123421,"score_spread":0.22827284533020373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078963665","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":[0.3503914,0.00010248475,0.647021,0.00071632065,0.00028630896,0.00027588508,0.000019572388,0.00027154444,0.00091552734],"genre_scores_gemma":[0.94735146,0.000054903692,0.050461087,0.00006601524,0.00007901257,0.000043613563,0.000019739016,0.000016439732,0.0019077344],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997849,0.000012747441,0.0006231387,0.00063140894,0.0004909513,0.00039274752],"domain_scores_gemma":[0.99826777,0.00003783931,0.00043533597,0.0004825793,0.0006207775,0.00015572576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039604012,0.00020971576,0.0003579491,0.00033222474,0.0002472633,0.00028478244,0.001009878,0.00010462351,0.00006801282],"category_scores_gemma":[0.00006140227,0.0001974422,0.00016207738,0.0015757005,0.000086234504,0.0018902849,0.00033353304,0.00017432292,0.00007313935],"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":[0.00009156292,0.0018113836,0.10973057,0.00071410387,0.0026418776,0.000012479793,0.039440874,0.27595538,0.043337993,0.048009507,0.30955538,0.16869888],"study_design_scores_gemma":[0.00013288925,0.000046281988,0.003959176,0.000025234971,0.000068558984,0.0000018221315,0.00017103489,0.98673195,0.0036188741,0.003864663,0.0011497652,0.00022976531],"about_ca_topic_score_codex":0.00026710422,"about_ca_topic_score_gemma":0.000009423121,"teacher_disagreement_score":0.71077657,"about_ca_system_score_codex":0.000028058605,"about_ca_system_score_gemma":0.000032398148,"threshold_uncertainty_score":0.805146},"labels":[],"label_agreement":null},{"id":"W2078965668","doi":"10.3182/20140824-6-za-1003.02441","title":"Motion Coordination of Thrust-Propelled Underactuated Vehicles in the Presence of Communication Delays","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Western University","funders":"","keywords":"Underactuation; Control theory (sociology); Spanning tree; Thrust; Graph; Computer science; Rendezvous; Topology (electrical circuits); Control (management); Engineering; Mathematics; Theoretical computer science; Artificial intelligence; Aerospace engineering; Combinatorics","score_opus":0.015829065977461757,"score_gpt":0.23580828574344345,"score_spread":0.2199792197659817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078965668","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":[0.8399506,0.00016609098,0.15405427,0.00205074,0.00007907995,0.00076169707,0.000004776189,0.0000908391,0.002841905],"genre_scores_gemma":[0.9977916,0.000011846871,0.0020552007,0.00003253717,0.000013818677,0.00003969109,0.000010208187,0.0000066036687,0.000038483253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985812,0.0001179354,0.00047972135,0.00023173634,0.00041268964,0.00017672549],"domain_scores_gemma":[0.99836,0.00024488376,0.0004981585,0.00037389566,0.000497466,0.000025615043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014133992,0.000117695505,0.00022760873,0.00013208245,0.000078157966,0.00010150872,0.0013651014,0.000075551805,0.0000038277462],"category_scores_gemma":[0.0005938101,0.00009227007,0.00004895824,0.0006098038,0.00008857435,0.0007900053,0.00014492386,0.00013370432,0.000011669911],"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":[0.00013398392,0.0013143334,0.11426947,0.0006900698,0.00014326989,0.0000011774,0.03142798,0.0034455115,0.18893437,0.45996785,0.0058003813,0.19387159],"study_design_scores_gemma":[0.0009619488,0.00011298127,0.05455577,0.00017157593,0.000014872967,0.0000043264313,0.0009550425,0.9272636,0.010386731,0.0051189866,0.0003045509,0.0001496201],"about_ca_topic_score_codex":0.00026840056,"about_ca_topic_score_gemma":0.0000145561135,"teacher_disagreement_score":0.9238181,"about_ca_system_score_codex":0.0000416992,"about_ca_system_score_gemma":0.000025149246,"threshold_uncertainty_score":0.37626642},"labels":[],"label_agreement":null},{"id":"W2079132464","doi":"10.3182/20120829-3-mx-2028.00133","title":"A Novel Approach to Fault Detection and Isolation of Linear Systems using Modified Marginalized Likelihood Ratio Test and Uniform Priors","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Likelihood-ratio test; Fault detection and isolation; Prior probability; Benchmark (surveying); Statistical hypothesis testing; Monte Carlo method; Fault (geology); Mathematics; Statistics; Algorithm; Computer science; Engineering; Artificial intelligence; Bayesian probability","score_opus":0.01643860524853761,"score_gpt":0.22002973743706156,"score_spread":0.20359113218852395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079132464","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":[0.8507788,0.00046813974,0.14667833,0.000006393112,0.00023108275,0.0006202745,0.000009068036,0.00019506838,0.001012835],"genre_scores_gemma":[0.9959506,0.000014382852,0.0036794469,0.0000062327827,0.00018410732,0.000061878105,0.0000014075645,0.00003486353,0.00006710005],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990322,0.0000048796805,0.00033761974,0.0001780774,0.00017420697,0.0002729949],"domain_scores_gemma":[0.999537,0.000021699576,0.000100257515,0.00006351445,0.0001269734,0.00015056085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028303862,0.00018563811,0.00027955818,0.00019268585,0.00010824543,0.000090238405,0.000051271818,0.00013533582,7.4868643e-7],"category_scores_gemma":[0.000078653975,0.00018402732,0.000029987794,0.00027465637,0.00002332648,0.00048754408,0.000023025594,0.00011149624,0.0000018332838],"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":[0.0000503414,0.000058932303,0.00554739,0.00083198096,0.00006016319,4.7886587e-8,0.0029372673,0.0052972357,0.9824114,0.00018355808,0.000016902388,0.0026048226],"study_design_scores_gemma":[0.0007102316,0.00006770137,0.0021809235,0.00007478378,0.00004116361,0.0000646189,0.00209234,0.98763216,0.006603104,0.0000039034962,0.000319342,0.00020972812],"about_ca_topic_score_codex":0.00020082033,"about_ca_topic_score_gemma":0.0000053323147,"teacher_disagreement_score":0.9823349,"about_ca_system_score_codex":0.00006658384,"about_ca_system_score_gemma":0.000008391251,"threshold_uncertainty_score":0.7504416},"labels":[],"label_agreement":null},{"id":"W2079340207","doi":"10.3182/20080706-5-kr-1001.00302","title":"Decentralized attitude alignment control of spacecraft within a formation without angular velocity measurements","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Western University","funders":"","keywords":"Quaternion; Spacecraft; Angular velocity; Control theory (sociology); Attitude control; Tracking (education); Unit vector; Tracking error; Control (management); Computer science; Physics; Engineering; Mathematics; Control engineering; Aerospace engineering; Classical mechanics; Geometry; Artificial intelligence","score_opus":0.0351745369626589,"score_gpt":0.24601591414687288,"score_spread":0.21084137718421397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079340207","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":[0.50016916,0.00040159922,0.49639705,0.00051189016,0.00039008522,0.0012692062,0.000022373975,0.0003525395,0.0004860724],"genre_scores_gemma":[0.9842985,0.000017109633,0.01524622,0.00013407035,0.00004608205,0.00010595187,0.000006833439,0.000018775858,0.00012642333],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969042,0.000047282945,0.00076813734,0.0004977098,0.0012385404,0.00054412114],"domain_scores_gemma":[0.9980685,0.000021947055,0.0007131803,0.0003198927,0.00066466903,0.00021182065],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007993287,0.00031415274,0.0005640617,0.00014656177,0.00022149445,0.0001399585,0.00091551343,0.00012181153,0.000009069499],"category_scores_gemma":[0.00021214719,0.00029738867,0.00015524466,0.00039842635,0.000104754,0.0014293827,0.000124596,0.00013055309,0.000041872718],"study_design_candidate":"observational","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":[0.00037754874,0.0010591812,0.7158867,0.0006627008,0.0010390525,0.000031846866,0.019353779,0.00055162713,0.23811187,0.0099876635,0.0076214615,0.005316566],"study_design_scores_gemma":[0.02240188,0.00065547315,0.13171376,0.0007183732,0.00026536643,0.0003041818,0.0007436333,0.62963843,0.20448495,0.0008842878,0.0063650655,0.0018245968],"about_ca_topic_score_codex":0.00011507721,"about_ca_topic_score_gemma":0.000011168611,"teacher_disagreement_score":0.6290868,"about_ca_system_score_codex":0.00026672694,"about_ca_system_score_gemma":0.00011827965,"threshold_uncertainty_score":0.99994785},"labels":[],"label_agreement":null},{"id":"W2080761683","doi":"10.3182/20090712-4-tr-2008.00127","title":"An Online Algorithm for Robust Distributed Model Predictive Control","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Model predictive control; Computer science; Control theory (sociology); Robust control; Regular polygon; Convex optimization; Upper and lower bounds; Algorithm; Mathematical optimization; Control (management); Control system; Mathematics; Engineering; Artificial intelligence","score_opus":0.010880635571586063,"score_gpt":0.2217647555983224,"score_spread":0.21088412002673634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080761683","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":[0.004537256,0.00018076517,0.99177516,0.00009606976,0.000111203844,0.00090254366,0.0010267275,0.0011895872,0.00018068487],"genre_scores_gemma":[0.78891474,0.000015011397,0.21017306,0.000069915535,0.00032345657,0.00013692246,0.00024909576,0.000053112155,0.00006469767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987999,0.00000291073,0.00032145026,0.0003052025,0.00017068772,0.00039983256],"domain_scores_gemma":[0.99928045,0.000018576442,0.000082873754,0.00011098767,0.00036680826,0.00014029363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000093627525,0.00025289867,0.0003264807,0.00008250839,0.00009970212,0.000080107515,0.00019479482,0.00014637595,0.000002153065],"category_scores_gemma":[0.00005778146,0.00026799462,0.00007098704,0.00016719192,0.000022165883,0.0008185546,0.0000057912307,0.00013420997,0.0000020092725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031286196,0.000055780965,0.000084333165,0.000021746093,0.00003917739,3.519708e-7,0.00011710847,0.96521616,0.0021170862,0.00018200367,0.00060497096,0.03152998],"study_design_scores_gemma":[0.001629567,0.00023943723,0.00040193184,0.000031872187,0.00005254239,0.0000040804725,0.00013433535,0.9956967,0.00025228548,0.00111046,0.00016442199,0.0002823361],"about_ca_topic_score_codex":0.0000016236812,"about_ca_topic_score_gemma":0.0000013287147,"teacher_disagreement_score":0.78437746,"about_ca_system_score_codex":0.00015738129,"about_ca_system_score_gemma":0.000017548688,"threshold_uncertainty_score":0.99997723},"labels":[],"label_agreement":null},{"id":"W2083568929","doi":"10.3182/20100826-3-tr-4015.00018","title":"Target Tracking Using Adaptive Gain Backstepping Control","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Backstepping; Control theory (sociology); Controller (irrigation); Scheme (mathematics); Tracking (education); Control engineering; Computer science; Sliding mode control; Mode (computer interface); Constant (computer programming); Control (management); Adaptive control; Engineering; Nonlinear system; Mathematics; Artificial intelligence; Physics; Psychology","score_opus":0.015212166309681696,"score_gpt":0.2249424350129513,"score_spread":0.2097302687032696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083568929","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":[0.8773566,0.0007978893,0.10514274,0.000100352474,0.0021352542,0.00092893024,0.000051029536,0.0015248781,0.011962348],"genre_scores_gemma":[0.9747899,0.0000037032296,0.023518864,0.0000672685,0.0012826332,0.000033280936,0.0000024785707,0.00013476663,0.00016707026],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808586,0.000010306805,0.00048526723,0.00039506942,0.00034312138,0.0006803887],"domain_scores_gemma":[0.99906373,0.00008035468,0.00014220299,0.00015430711,0.0003569422,0.00020246326],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004348802,0.0004002809,0.00052641594,0.00019794039,0.00017368843,0.0001974473,0.0003344891,0.00024909878,0.000081913764],"category_scores_gemma":[0.00020862067,0.0004226109,0.00015293877,0.00026103947,0.000100160134,0.0008066277,0.000041120733,0.00070570153,0.00009693997],"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":[0.00007812969,0.000054182678,0.021396283,0.00020714047,0.000403627,0.000026498405,0.00146537,0.009776861,0.9550421,0.0023470726,0.0015668861,0.0076358323],"study_design_scores_gemma":[0.0011381821,0.00005533283,0.0019857695,0.00012454911,0.00005633044,0.00006472175,0.00064941606,0.9804238,0.0073178117,0.00023564782,0.0073288633,0.00061955076],"about_ca_topic_score_codex":0.000031336476,"about_ca_topic_score_gemma":0.000016289016,"teacher_disagreement_score":0.970647,"about_ca_system_score_codex":0.00012227612,"about_ca_system_score_gemma":0.000042617292,"threshold_uncertainty_score":0.99982256},"labels":[],"label_agreement":null},{"id":"W2084097834","doi":"10.3182/20070604-3-mx-2914.00052","title":"DYNAMIC SENSITIVITY ANALYSIS OF CATHARANTHUS ROSEUS HAIRY ROOTS METABOLISM","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","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":"Polytechnique Montréal","funders":"","keywords":"Catharanthus roseus; Tryptamine; Secondary metabolism; Metabolism; Chemistry; Function (biology); Biochemistry; Botany; Biology; Enzyme; Biosynthesis; Cell biology","score_opus":0.0038594846158837045,"score_gpt":0.22698763751999068,"score_spread":0.22312815290410698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084097834","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":[0.9941424,0.0012696714,0.003859152,0.00005073959,0.00027446524,0.000107308646,0.000035344157,0.000040221497,0.00022069493],"genre_scores_gemma":[0.99720824,0.00013632132,0.0017518543,0.000029026452,0.00018875502,0.0000028757272,0.00006558039,0.000019564332,0.00059776235],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886197,0.0000072756325,0.0002883853,0.00040395014,0.00014723223,0.00029115984],"domain_scores_gemma":[0.99937063,0.0000035274525,0.00014101328,0.00017344343,0.00023720092,0.00007417333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006569853,0.00017895682,0.00033003936,0.00024225962,0.00005455801,0.000018441986,0.00010313814,0.00016098819,0.0000062407266],"category_scores_gemma":[0.00015395123,0.00017474443,0.00020336396,0.0006283274,0.00007770921,0.00000903309,0.000059119186,0.00009465641,0.0000029883852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050646602,0.000049474187,0.0036763875,0.000029816403,0.0004388517,0.0000010914933,0.00008848458,0.00016128331,0.9900337,0.000039994837,0.00015040484,0.005279865],"study_design_scores_gemma":[0.0001920751,0.00004386176,0.22679947,0.0000086919445,0.00054561044,0.000018663306,0.00008079678,0.0012146841,0.7627881,0.000006141291,0.008070453,0.00023140275],"about_ca_topic_score_codex":0.00013682619,"about_ca_topic_score_gemma":0.00013592966,"teacher_disagreement_score":0.22724555,"about_ca_system_score_codex":0.000013807709,"about_ca_system_score_gemma":0.000020768799,"threshold_uncertainty_score":0.7125871},"labels":[],"label_agreement":null},{"id":"W2084153816","doi":"10.3182/20100929-3-ro-4017.00005","title":"Robot Navigation Controller: a Non-Parametric Regression Approach","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"University of British Columbia","keywords":"Robot; Mobile robot navigation; Controller (irrigation); Parametric statistics; Obstacle; Motion planning; Computer science; Obstacle avoidance; Robot control; Control theory (sociology); Kernel (algebra); Control engineering; Engineering; Artificial intelligence; Mobile robot; Control (management); Mathematics; Geography","score_opus":0.009532551257860062,"score_gpt":0.24159386431119445,"score_spread":0.23206131305333438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084153816","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":[0.2994841,0.0001338453,0.6876161,0.0006327341,0.0014966582,0.000801771,0.0000030643675,0.001036314,0.008795377],"genre_scores_gemma":[0.5782883,0.0000027305555,0.42086715,0.00006528486,0.00018021307,0.000055357305,0.000004176795,0.000016321246,0.0005204497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765587,0.000011659161,0.0003739785,0.00077283924,0.00064042484,0.0005452332],"domain_scores_gemma":[0.998731,0.00007830739,0.00030807496,0.00031816767,0.00034199748,0.00022245599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006757725,0.00029586194,0.00036844172,0.00034432157,0.000296137,0.000534651,0.0012818814,0.00024213146,0.000004177043],"category_scores_gemma":[0.0003718667,0.0002495507,0.000106463325,0.0013218847,0.000093490664,0.0011280173,0.00027082706,0.00067074684,0.0001222931],"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":[0.0001294162,0.0014912338,0.09665097,0.0006124011,0.00027371506,0.000080988364,0.011705626,0.0029108138,0.31361064,0.038798407,0.03443091,0.49930486],"study_design_scores_gemma":[0.0008546539,0.000108694265,0.015756426,0.00007898569,0.000014748566,0.00015332269,0.00007724946,0.9759992,0.0043011634,0.001557543,0.0007013851,0.0003966221],"about_ca_topic_score_codex":0.00003587984,"about_ca_topic_score_gemma":1.3154099e-7,"teacher_disagreement_score":0.9730884,"about_ca_system_score_codex":0.000046589033,"about_ca_system_score_gemma":0.00007162109,"threshold_uncertainty_score":0.99999565},"labels":[],"label_agreement":null},{"id":"W2084319925","doi":"10.3182/20090712-4-tr-2008.00109","title":"Variability Matrix: A Novel Tool to Prioritize Loop Maintenance","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Loop (graph theory); Controller (irrigation); Metric (unit); Variance (accounting); Reduction (mathematics); Control engineering; Control theory (sociology); Control (management); Performance metric; Computer science; Engineering; Reliability engineering; Mathematics; Artificial intelligence; Operations management","score_opus":0.005735027443252917,"score_gpt":0.2193315799933312,"score_spread":0.21359655255007828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084319925","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":[0.963041,0.00011072278,0.014587489,0.0007796139,0.00075559266,0.0007895767,0.00001856641,0.0017345054,0.018182935],"genre_scores_gemma":[0.9938755,0.0000063986818,0.0029293,0.00027300848,0.0002610532,0.00006583598,7.3970847e-7,0.00002788998,0.0025602507],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866295,0.0000031346356,0.0003431219,0.00032170306,0.0002295915,0.00043948353],"domain_scores_gemma":[0.99950355,0.000016936548,0.000037086138,0.00014791563,0.00014695426,0.00014758311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003279978,0.0002221484,0.00028773845,0.00009150252,0.00007578111,0.00015575069,0.00021457871,0.000119954384,0.00003611741],"category_scores_gemma":[0.0002354828,0.00022310215,0.00009020795,0.00037034377,0.000016405818,0.00025092292,0.000020034095,0.0001855312,0.00018459922],"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":[0.00021593121,0.00020580449,0.0072688414,0.0005790957,0.00014665906,0.000009534434,0.001859271,0.0018761675,0.7963595,0.016222434,0.04344935,0.1318074],"study_design_scores_gemma":[0.0045744134,0.00074229616,0.08639664,0.00053324323,0.00009325336,0.00025973315,0.00087740185,0.4742007,0.016067961,0.0035366074,0.40994418,0.0027735864],"about_ca_topic_score_codex":0.00001690428,"about_ca_topic_score_gemma":0.0000025237812,"teacher_disagreement_score":0.78029156,"about_ca_system_score_codex":0.00016501428,"about_ca_system_score_gemma":0.00001604045,"threshold_uncertainty_score":0.90978414},"labels":[],"label_agreement":null},{"id":"W2084507688","doi":"10.3182/20091014-3-cl-4011.00059","title":"Application of Inductive Monitoring System for equipment condition monitoring","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated","keywords":"Process (computing); Set (abstract data type); Cluster analysis; Baseline (sea); Computer science; Mode (computer interface); Data mining; Sensitivity (control systems); Real-time computing; Reliability engineering; Engineering; Artificial intelligence; Electronic engineering","score_opus":0.01755302854448358,"score_gpt":0.2700493886720815,"score_spread":0.2524963601275979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084507688","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":[0.48400167,0.00024825294,0.5132602,0.00023744494,0.00052052195,0.0005903975,0.0000052779055,0.00043264907,0.0007036246],"genre_scores_gemma":[0.93020755,0.0000031345878,0.06933235,0.000006174128,0.00030062892,0.00010170265,0.0000026070352,0.000008257091,0.000037584083],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988258,0.0000057076327,0.00029351367,0.00035274285,0.00025267224,0.0002695943],"domain_scores_gemma":[0.9991395,0.000049316437,0.0002913384,0.00013206984,0.00032118458,0.000066623295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034172373,0.00014394564,0.00019520224,0.00012481396,0.0001945028,0.00011682466,0.00040131644,0.00008734259,2.2030567e-7],"category_scores_gemma":[0.000035939556,0.00015027089,0.000057189733,0.00026218352,0.00001785773,0.0006758461,0.000046508136,0.000106452506,0.000004206295],"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":[0.00007228393,0.0001633271,0.16246419,0.0010346123,0.000097589706,0.0000019825236,0.010686362,0.0006419264,0.36419302,0.0785119,0.0004603094,0.3816725],"study_design_scores_gemma":[0.0011198231,0.0009483391,0.052515022,0.0015819257,0.0000613987,0.00002149434,0.0030196737,0.09355688,0.83587545,0.009595113,0.0009583765,0.00074647315],"about_ca_topic_score_codex":0.00002078797,"about_ca_topic_score_gemma":3.5647002e-8,"teacher_disagreement_score":0.47168246,"about_ca_system_score_codex":0.00014490004,"about_ca_system_score_gemma":0.000032112104,"threshold_uncertainty_score":0.6127869},"labels":[],"label_agreement":null},{"id":"W2084784571","doi":"10.3182/20070606-3-mx-2915.00124","title":"ROBUST H FILTERING FOR CONTINUOUS-TIME STOCHASTIC SYSTEMS WITH UNCERTAINTIES","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Linear matrix inequality; Mathematics; Mathematical optimization; Control theory (sociology); Filter (signal processing); Filtering problem; Variance (accounting); Stability (learning theory); Robustness (evolution); Robust control; Computer science; Filter design; Engineering; Control system; Artificial intelligence","score_opus":0.012155352013964537,"score_gpt":0.19247823080617077,"score_spread":0.18032287879220624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084784571","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":[0.63247794,0.0017257498,0.35404822,0.00007343397,0.0009682812,0.0020953314,0.000046548907,0.0016933465,0.006871134],"genre_scores_gemma":[0.99621344,0.0000025779434,0.0016645973,0.000015888474,0.0004616511,0.00021662272,0.000006296398,0.00007916095,0.0013397413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982854,0.000003262608,0.00043619054,0.00032604352,0.00027784775,0.00067124685],"domain_scores_gemma":[0.99914676,0.00017652434,0.00009462811,0.00013451253,0.0003092659,0.00013829385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058783975,0.00031361228,0.0004990201,0.00013652623,0.00014647434,0.00023333843,0.00024047348,0.00013658617,0.0000146757775],"category_scores_gemma":[0.00009842822,0.0002793507,0.00009109097,0.00018129782,0.00008598581,0.00032443344,0.000021582006,0.00014452047,0.0000251781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025165905,0.00024295328,0.019020896,0.009430456,0.0020965557,0.000031672032,0.0134457145,0.8119321,0.08815491,0.008982918,0.020456053,0.02368917],"study_design_scores_gemma":[0.002988144,0.0007723321,0.0015482156,0.0010541336,0.00018546148,0.00011804541,0.011184258,0.96177715,0.0019747396,0.00021961934,0.016667651,0.0015102236],"about_ca_topic_score_codex":0.0000777523,"about_ca_topic_score_gemma":0.000018484834,"teacher_disagreement_score":0.3637355,"about_ca_system_score_codex":0.00016615615,"about_ca_system_score_gemma":0.000021977237,"threshold_uncertainty_score":0.99996585},"labels":[],"label_agreement":null},{"id":"W2084793064","doi":"10.3182/20060329-3-au-2901.00153","title":"IDENTIFICATION OF NONLINEAR AGGREGATE POWER SYSTEM LOADS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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 Calgary","funders":"","keywords":"Identification (biology); Representation (politics); Nonlinear system; Polynomial; Aggregate (composite); System identification; Block (permutation group theory); Noise (video); Algorithm; Field (mathematics); Computer science; Power (physics); Control theory (sociology); Basis (linear algebra); Electric power system; Mathematical optimization; Mathematics; Data modeling; Artificial intelligence","score_opus":0.0031623277970728803,"score_gpt":0.17878807914318487,"score_spread":0.175625751346112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084793064","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":[0.98980016,0.00086019834,0.001452986,0.000031053947,0.00056346494,0.00029449942,0.000021109945,0.00048795625,0.006488571],"genre_scores_gemma":[0.9982144,0.000009359805,0.00015416996,0.0000014799804,0.00018710119,0.000038538306,0.000010318227,0.000032451284,0.0013521292],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882877,0.0000032465987,0.0005752999,0.00018625759,0.00022139706,0.00018502602],"domain_scores_gemma":[0.999387,0.00000757288,0.0001873059,0.00013043491,0.00025353543,0.000034122153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022684637,0.00013590253,0.00021387728,0.00013442068,0.000051283056,0.00010408532,0.00015003381,0.00008715726,0.000010231974],"category_scores_gemma":[0.000018569272,0.00014192847,0.00007614827,0.0002333216,0.00002678197,0.00030462502,0.000014245868,0.00006837566,0.00010405156],"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":[0.000010457747,0.00004235776,0.007712777,0.0009804908,0.000054675143,9.847806e-7,0.000313657,0.000512374,0.97534925,0.0059498353,0.006688364,0.0023848007],"study_design_scores_gemma":[0.0012445217,0.00006809805,0.08182187,0.00061101204,0.00013685298,0.000043517826,0.0014138618,0.46793887,0.41994467,0.00041338152,0.025483258,0.0008800664],"about_ca_topic_score_codex":0.00011998084,"about_ca_topic_score_gemma":0.000008622607,"teacher_disagreement_score":0.55540454,"about_ca_system_score_codex":0.000086740154,"about_ca_system_score_gemma":0.000008314821,"threshold_uncertainty_score":0.5787675},"labels":[],"label_agreement":null},{"id":"W2086885309","doi":"10.3182/20060517-3-fr-2903.00332","title":"ON THE SELECTION OF EFFECTIVE AND ROBUST SUPPLY CHAIN NETWORK DESIGNS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","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":"Université Laval","funders":"","keywords":"Supply chain; Monte Carlo method; Supply chain network; Network planning and design; Set (abstract data type); Computer science; Selection (genetic algorithm); Supply chain management; Event (particle physics); Process (computing); Risk analysis (engineering); Engineering; Operations research; Reliability engineering; Mathematical optimization; Business; Mathematics; Artificial intelligence","score_opus":0.014228242210611699,"score_gpt":0.19491163973039416,"score_spread":0.18068339751978246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086885309","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":[0.97514653,0.00006769173,0.0009860565,0.0018469217,0.00018225293,0.00075528066,9.573196e-7,0.00012152368,0.020892793],"genre_scores_gemma":[0.9979612,0.000007486963,0.00015320581,0.00046620693,0.00043404193,0.00008007624,0.0000050516187,0.0000125007045,0.00088019675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991865,0.0000046391647,0.00019161734,0.00022086792,0.00018786165,0.00020847567],"domain_scores_gemma":[0.99964327,0.000030394662,0.00009125571,0.000056682573,0.00017225568,0.00000616911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047232915,0.00013476645,0.00012899449,0.000102095844,0.00023764433,0.0001256257,0.00011097383,0.00004087298,0.0001682673],"category_scores_gemma":[0.00009292829,0.00010327585,0.00004078502,0.00048816198,0.00006235277,0.0003628106,0.00006277857,0.00008394084,0.000047909234],"study_design_candidate":"observational","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":[0.00012173245,0.00017500905,0.2217162,0.00051280245,0.000070545626,3.579483e-7,0.00012240345,0.013199682,0.0009723044,0.57252604,0.18135667,0.009226249],"study_design_scores_gemma":[0.00079409045,0.00012424329,0.6966858,0.00019707765,0.00014417944,0.0000012279538,0.0007066228,0.23027992,0.0008927268,0.0361984,0.033409134,0.0005666086],"about_ca_topic_score_codex":0.0011792836,"about_ca_topic_score_gemma":0.00022515403,"teacher_disagreement_score":0.53632766,"about_ca_system_score_codex":0.00002260444,"about_ca_system_score_gemma":0.000004122776,"threshold_uncertainty_score":0.42114672},"labels":[],"label_agreement":null},{"id":"W2087112214","doi":"10.3182/20121023-3-fr-4025.00026","title":"Predictive Power Management Strategy for a PHEV Based on Different Levels of Trip Information","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Powertrain; Model predictive control; Automotive engineering; Fuel efficiency; Controller (irrigation); Engineering; Control (management); Electric vehicle; Power management; Power (physics); Plug-in; Energy management; Internal combustion engine; Control engineering; Computer science; Torque","score_opus":0.014290958751523457,"score_gpt":0.21987839814743035,"score_spread":0.2055874393959069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087112214","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":[0.937333,0.0001964451,0.03986357,0.000062980565,0.00016590406,0.0009837035,0.00007782852,0.00097470137,0.020341907],"genre_scores_gemma":[0.99885225,0.000018423287,0.00083448243,0.000024152223,0.000025653992,0.000156064,0.0000054141833,0.000015640373,0.000067944486],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922657,0.0000012057124,0.00021828008,0.00007987812,0.00016906315,0.00030497354],"domain_scores_gemma":[0.999724,0.00002362006,0.00006687015,0.000069687165,0.00007514989,0.000040716164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100519566,0.00014936441,0.00016871214,0.00019064259,0.00003770984,0.00002681025,0.00012992161,0.0000767849,0.000017924027],"category_scores_gemma":[0.000027410662,0.00013160941,0.00005608078,0.00015083778,0.000026528245,0.00046230914,0.000018090443,0.00009776987,0.0000070265723],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009695838,0.001019046,0.080220394,0.0065139667,0.0011833694,0.0000011543395,0.00392165,0.01495071,0.007684065,0.123213544,0.05083637,0.7094861],"study_design_scores_gemma":[0.0031277747,0.0017739098,0.3332038,0.00028992348,0.00017546224,0.000003102195,0.0020851318,0.49024025,0.15874888,0.0029453698,0.0065693427,0.0008370598],"about_ca_topic_score_codex":9.768013e-7,"about_ca_topic_score_gemma":8.409641e-8,"teacher_disagreement_score":0.7086491,"about_ca_system_score_codex":0.000079771016,"about_ca_system_score_gemma":0.000005066725,"threshold_uncertainty_score":0.5366876},"labels":[],"label_agreement":null},{"id":"W2087380820","doi":"10.3182/20060517-3-fr-2903.00004","title":"PROCESS DESIGN FOR EFFICIENT SCHEDULING","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Manufacturing Process and 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 Toronto","funders":"","keywords":"Scheduling (production processes); Architecture; Bridging (networking); Computer science; Process management; Manufacturing engineering; Industrial engineering; Engineering; Operations management; Risk analysis (engineering); Systems engineering; Business","score_opus":0.010753655635840076,"score_gpt":0.21550612272614028,"score_spread":0.2047524670903002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087380820","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":[0.45230123,0.0004175154,0.5422407,0.00005599857,0.00021323308,0.00058220763,0.000005031713,0.001004102,0.003180023],"genre_scores_gemma":[0.95404565,0.000008819866,0.045203995,0.00001349866,0.00021952651,0.00018648147,0.000007956471,0.000056536886,0.0002575186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990678,0.0000010658141,0.00021963593,0.00022565691,0.00015320154,0.0003326498],"domain_scores_gemma":[0.9996702,0.000020348029,0.000048471204,0.000050248746,0.00016383923,0.00004689979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014302095,0.00018203323,0.00015778684,0.00009954914,0.0001345922,0.00012734729,0.00014277163,0.00008984166,0.000015661217],"category_scores_gemma":[0.000035356836,0.00018238621,0.000047248217,0.00016259603,0.000021110976,0.00016442874,0.000011341237,0.00008301388,0.000011101079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011598912,0.00002050254,0.0002686625,0.00047591067,0.000009654651,1.9656746e-7,0.00017814814,0.9952833,0.0007896047,0.0005292287,0.00071273383,0.0017204823],"study_design_scores_gemma":[0.00029955924,0.00002666461,0.00024027789,0.000052211657,0.000018124949,0.0000025928828,0.00007607596,0.9159638,0.08065361,0.0014279224,0.000986056,0.00025305932],"about_ca_topic_score_codex":0.0000044359067,"about_ca_topic_score_gemma":4.991484e-7,"teacher_disagreement_score":0.50174445,"about_ca_system_score_codex":0.00004507635,"about_ca_system_score_gemma":0.000015199867,"threshold_uncertainty_score":0.7437494},"labels":[],"label_agreement":null},{"id":"W2087861000","doi":"10.3182/20020721-6-es-1901.01150","title":"STABILITY OF FAULT TOLERANT CONTROL SYSTEMS DRIVEN BY ACTUATORS WITH SATURATION","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); FTCS scheme; Actuator; Mathematics; Riccati equation; Lyapunov function; Saturation (graph theory); Engineering; Differential equation; Computer science; Control (management); Nonlinear system; Mathematical analysis; Physics; Ordinary differential equation","score_opus":0.006274958820715607,"score_gpt":0.17400714316669913,"score_spread":0.16773218434598353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087861000","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":[0.9910484,0.0008534586,0.0033854647,0.00006359337,0.00033910127,0.0006518621,0.000041381507,0.00048194232,0.0031347782],"genre_scores_gemma":[0.9995457,0.000018442695,0.00004586244,0.000012196259,0.000078922705,0.00009738525,0.0000024980309,0.00003142288,0.0001675517],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887466,0.000009538003,0.00036690466,0.00020914951,0.0002977174,0.00024204535],"domain_scores_gemma":[0.9994936,0.000024472583,0.0001115114,0.00010452066,0.00017588052,0.00009001526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011304545,0.00019827776,0.00035837773,0.00006228795,0.00006002286,0.00008679423,0.00011622317,0.000114342634,0.000049308794],"category_scores_gemma":[0.000029391538,0.00016424309,0.000057929978,0.00018992704,0.0000460913,0.0003051789,0.0000055008177,0.00014367182,0.000022566655],"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":[0.00052284065,0.00047674926,0.10735428,0.00416409,0.0015593591,0.0000074267173,0.015001701,0.020885123,0.7557322,0.0010642746,0.051261842,0.041970152],"study_design_scores_gemma":[0.0013360733,0.00017542962,0.00057239726,0.00009303348,0.000039793777,0.000015658501,0.0012015634,0.98108685,0.007904446,0.000003287251,0.0072931866,0.00027829333],"about_ca_topic_score_codex":0.00007298866,"about_ca_topic_score_gemma":0.000010364882,"teacher_disagreement_score":0.96020174,"about_ca_system_score_codex":0.00009082354,"about_ca_system_score_gemma":0.0000052352393,"threshold_uncertainty_score":0.66976386},"labels":[],"label_agreement":null},{"id":"W2088496757","doi":"10.3182/20110828-6-it-1002.03185","title":"Moving Window Ensemble Kalman Filter for Delayed and Multi-Rate Measurements","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ensemble Kalman filter; Kalman filter; Benchmark (surveying); Control theory (sociology); Window (computing); Extended Kalman filter; Filter (signal processing); Process (computing); Computer science; Tracking (education); Moving average; Algorithm; Mathematics; Artificial intelligence; Computer vision; Geography","score_opus":0.03883655580783038,"score_gpt":0.2270557148123969,"score_spread":0.1882191590045665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088496757","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":[0.9820386,0.00049622107,0.009860369,0.000020859154,0.0005677008,0.0006987581,0.00000990153,0.0006511,0.005656448],"genre_scores_gemma":[0.99462193,0.000010522431,0.004143967,0.000050582552,0.00009383718,0.00017165217,0.0000012754645,0.000047466503,0.00085878064],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991388,0.0000041287653,0.00022327421,0.00022004254,0.00010927879,0.00030448445],"domain_scores_gemma":[0.9996635,0.000010695983,0.000046838726,0.00006557516,0.0001136119,0.000099777346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023059298,0.00018230527,0.00019672202,0.00008358709,0.00011128451,0.000077110024,0.000098957535,0.00009457862,0.000017843515],"category_scores_gemma":[0.000050263756,0.0001808583,0.000056556764,0.00007845753,0.000019828927,0.00027992608,0.0000187478,0.000087035354,0.000023225859],"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":[0.00024702295,0.0000896346,0.03945533,0.00081638567,0.00060255016,0.0000029886367,0.007892081,0.00008917717,0.8908616,0.00019978607,0.0057270112,0.054016434],"study_design_scores_gemma":[0.0057863425,0.000418836,0.03079845,0.0002324561,0.00016708412,0.0000467466,0.0018787645,0.73297656,0.21110679,0.0004308634,0.014864082,0.0012930101],"about_ca_topic_score_codex":0.00006751495,"about_ca_topic_score_gemma":0.00004364581,"teacher_disagreement_score":0.7328874,"about_ca_system_score_codex":0.000040323263,"about_ca_system_score_gemma":0.0000056891945,"threshold_uncertainty_score":0.7375188},"labels":[],"label_agreement":null},{"id":"W2088801414","doi":"10.3182/20140824-6-za-1003.00604","title":"Four Reaction Wheels Management: Algorithms Trade-Off and Tuning Drivers for the PROBA-3 Mission","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"NGC Aerospace (Canada)","funders":"Canadian Space Agency","keywords":"Reaction wheel; Spacecraft; Torque; Fidelity; Algorithm; Attitude control; Field (mathematics); Angular momentum; Actuator; Constraint (computer-aided design); Control (management); Computer science; Engineering; Control theory (sociology); Control engineering; Aerospace engineering; Mathematics; Artificial intelligence; Mechanical engineering; Electrical engineering; Physics","score_opus":0.010757166808902506,"score_gpt":0.20504013727921136,"score_spread":0.19428297047030885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088801414","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":[0.7641281,0.0012490503,0.17808804,0.005353814,0.0016299936,0.0035750146,0.0000167307,0.0018006694,0.04415857],"genre_scores_gemma":[0.97529227,0.00043674457,0.021968722,0.00008541093,0.0001776664,0.000075215146,0.00000493044,0.000048301124,0.0019107263],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993292,0.0000026402488,0.00014880997,0.00018261456,0.00013156259,0.00020515414],"domain_scores_gemma":[0.9997463,0.000050495717,0.000046766098,0.0000625432,0.000034761757,0.000059121998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023861218,0.00013452675,0.00011003246,0.000065588196,0.00018586044,0.00012507664,0.00010721549,0.00006443201,0.000007405448],"category_scores_gemma":[0.000035133377,0.000111113506,0.000037696496,0.00009991598,0.00003321794,0.00020747734,0.000024887016,0.00011132358,0.000002833766],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012048969,0.000012207647,0.00091125723,0.0006360499,0.00007649204,4.3281315e-7,0.0019419265,0.00082626846,0.0061540855,0.0067106127,0.004826218,0.9778924],"study_design_scores_gemma":[0.00039182848,0.000051059444,0.008447868,0.000066348366,0.00005570762,0.000007220274,0.0006640545,0.84449273,0.00012458075,0.0010111824,0.14451942,0.00016797296],"about_ca_topic_score_codex":0.0000054418592,"about_ca_topic_score_gemma":0.0000017122313,"teacher_disagreement_score":0.97772443,"about_ca_system_score_codex":0.000027310667,"about_ca_system_score_gemma":0.000002334406,"threshold_uncertainty_score":0.4531077},"labels":[],"label_agreement":null},{"id":"W2089477335","doi":"10.3182/20080706-5-kr-1001.00331","title":"Adaptive Model Predictive Control for Constrained Nonlinear Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Queen's University","funders":"","keywords":"Model predictive control; Control theory (sociology); Nonlinear system; Adaptive control; Robustness (evolution); Estimator; Identifier; Computer science; Mathematical optimization; System identification; Controller (irrigation); Identification (biology); Mathematics; Control (management); Data modeling; Artificial intelligence","score_opus":0.012079886101783878,"score_gpt":0.20193514626025455,"score_spread":0.18985526015847068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089477335","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":[0.01085358,0.0005887281,0.9807576,0.000027381482,0.00032220306,0.0018603387,0.00030360732,0.0010741787,0.0042124153],"genre_scores_gemma":[0.97152776,0.000035354202,0.026693273,0.000023671599,0.00033908887,0.0007652964,0.000015405842,0.00008959179,0.0005105508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986286,0.000004312499,0.00040914371,0.00031153407,0.00022077456,0.00042562519],"domain_scores_gemma":[0.9990796,0.00006483103,0.00011962484,0.000094877534,0.0005167921,0.00012428548],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000117538264,0.00028524807,0.00044489984,0.00011126604,0.00016866019,0.000041323237,0.00015967604,0.00016466064,0.0000019664096],"category_scores_gemma":[0.000112533424,0.0002985845,0.00009770243,0.00014743491,0.00009787726,0.00053704786,0.0000124130875,0.00014296477,0.0000104438095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011521563,0.000016804139,0.00029843635,0.000113518036,0.00014416415,0.0000014633482,0.0005310619,0.9936416,0.0021508003,0.0016488017,0.0011310293,0.00020708122],"study_design_scores_gemma":[0.0020889363,0.00013477552,0.000032277712,0.00006536675,0.000047863425,0.000036694713,0.00040082342,0.99607754,0.00024268536,0.0001998271,0.0003725465,0.000300666],"about_ca_topic_score_codex":0.000006182232,"about_ca_topic_score_gemma":7.4798083e-7,"teacher_disagreement_score":0.96067417,"about_ca_system_score_codex":0.00016803344,"about_ca_system_score_gemma":0.00005126754,"threshold_uncertainty_score":0.99994665},"labels":[],"label_agreement":null},{"id":"W2090356884","doi":"10.3182/20050703-6-cz-1902.01289","title":"A NEURAL NETWORK-BASED IMPEDANCE CONTROLLER FOR A REDUNDANTLY ACTUATED CLOSED-CHAIN ROBOT MANIPULATOR","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Robot manipulator; Impedance control; Manipulator (device); Artificial neural network; Robot; Control engineering; Electrical impedance; Chain (unit); Computer science; Controller (irrigation); Engineering; Control (management); Artificial intelligence; Physics; Electrical engineering","score_opus":0.008993752375851776,"score_gpt":0.20951558881644836,"score_spread":0.20052183644059657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090356884","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":[0.8866501,0.002724339,0.098834574,0.002628063,0.0015604908,0.003525606,0.00007380377,0.002474315,0.0015287299],"genre_scores_gemma":[0.9934285,0.000010886408,0.0040454194,0.0003807396,0.0011546409,0.00035588758,0.000009747273,0.00010936039,0.00050477125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980343,0.0000067917285,0.00053682446,0.00037973223,0.00026134768,0.00078102143],"domain_scores_gemma":[0.9992943,0.000078225035,0.00013305437,0.00012302093,0.00017185413,0.00019953786],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035864973,0.00035913926,0.0005503618,0.00006991861,0.00014305298,0.00020025145,0.00031295902,0.00020113305,0.00001781683],"category_scores_gemma":[0.000077282675,0.00034370704,0.00024565365,0.00019130547,0.000026602867,0.00025334393,0.000026503105,0.00022194153,0.000029984385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010171733,0.00018513243,0.0017296971,0.00063602,0.0006094603,0.0000075781545,0.00034063295,0.6592633,0.07703516,0.015890073,0.02115601,0.22212975],"study_design_scores_gemma":[0.0026244198,0.0001429094,0.00037607134,0.000077130935,0.000053469736,0.0000064759747,0.000021587348,0.9806251,0.0003580284,0.0005265124,0.014780224,0.00040808713],"about_ca_topic_score_codex":0.000016011409,"about_ca_topic_score_gemma":0.000031489224,"teacher_disagreement_score":0.32136175,"about_ca_system_score_codex":0.00017328047,"about_ca_system_score_gemma":0.000025409852,"threshold_uncertainty_score":0.9999015},"labels":[],"label_agreement":null},{"id":"W2090730605","doi":"10.3182/20020721-6-es-1901.00748","title":"DESIGN OF RESTRUCTURABLE ACTIVE FAULT-TOLERANT CONTROL SYSTEMS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Western University","funders":"","keywords":"Control theory (sociology); Scheme (mathematics); Linear-quadratic regulator; Control engineering; Feed forward; Engineering; Fault tolerance; Fault (geology); Controller (irrigation); Fault detection and isolation; Control system; Computer science; Control (management); Actuator; Mathematics; Artificial intelligence; Reliability engineering","score_opus":0.011855154938998214,"score_gpt":0.1908083215849067,"score_spread":0.1789531666459085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090730605","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":[0.9219365,0.0069352863,0.028347906,0.00015621673,0.0033834903,0.0028899387,0.00006841192,0.0024783404,0.033803906],"genre_scores_gemma":[0.9985374,0.00004983472,0.00014402697,0.000014067132,0.00014579299,0.00011696568,5.071168e-7,0.00004438371,0.0009470061],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987676,0.000014691857,0.00040083058,0.00021225185,0.0002708367,0.0003337709],"domain_scores_gemma":[0.9994684,0.0000457698,0.00011397193,0.00011057353,0.00016540632,0.000095883675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138313,0.00022062636,0.00042674688,0.00013145231,0.00007740829,0.00008587503,0.00018292546,0.00014219957,0.00006830325],"category_scores_gemma":[0.000047237423,0.00020582354,0.000073608855,0.00023256807,0.000042524636,0.0002942977,0.000008555382,0.00017603686,0.000076378674],"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":[0.00033841553,0.00010680042,0.0013743545,0.0016826064,0.0010792477,0.000016929747,0.0065444475,0.39226612,0.5381393,0.0012580415,0.028558008,0.028635763],"study_design_scores_gemma":[0.0011127411,0.0000922777,0.00017789326,0.00009598177,0.000032929773,0.000042106672,0.0007102806,0.98586607,0.0067977645,0.000034745313,0.004794754,0.00024246331],"about_ca_topic_score_codex":0.00006992216,"about_ca_topic_score_gemma":9.985736e-7,"teacher_disagreement_score":0.5935999,"about_ca_system_score_codex":0.00008494824,"about_ca_system_score_gemma":0.0000059756985,"threshold_uncertainty_score":0.839324},"labels":[],"label_agreement":null},{"id":"W2092863460","doi":"10.3182/20130619-3-ru-3018.00164","title":"Combining lean and green in manufacturing: a model of waste management","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"Polytechnique Montréal","funders":"","keywords":"Reuse; Lean manufacturing; Manufacturing engineering; Lean project management; Engineering; Process (computing); Convergence (economics); Minification; Reduction (mathematics); Computer science; Process management; Industrial engineering; Waste management; Mathematics; Economics","score_opus":0.01071324588295826,"score_gpt":0.18962454499060188,"score_spread":0.1789112991076436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092863460","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":[0.9586582,0.000054753473,0.0001363802,0.0009204216,0.000053584146,0.00089764566,5.2449553e-7,0.000117945056,0.03916053],"genre_scores_gemma":[0.99410886,0.000017751525,0.0013042963,0.00052349403,0.00010829389,0.00014877983,0.0000037883024,0.000044129487,0.0037406038],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983112,0.0000015674236,0.0004109543,0.00043836806,0.00033442947,0.0005034434],"domain_scores_gemma":[0.99943954,0.000012102646,0.00024158531,0.00014654746,0.00013765042,0.000022582519],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033826375,0.00026347925,0.0003099576,0.00075759925,0.000097507735,0.00027902843,0.0003447831,0.00006374858,0.00007462705],"category_scores_gemma":[0.000025332325,0.00026831464,0.000051839157,0.00035067808,0.000087809276,0.0017082181,0.00077285257,0.00014091906,0.000048071593],"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":[0.00019690835,0.0007447576,0.39370885,0.021537215,0.00047286964,0.00006277299,0.004423347,0.006778075,0.0025612134,0.32862297,0.019957727,0.22093329],"study_design_scores_gemma":[0.003222721,0.000047468126,0.033352405,0.0005273852,0.00015723093,0.000002464235,0.039818514,0.72791976,0.0012265595,0.18729499,0.0052820835,0.0011484266],"about_ca_topic_score_codex":0.0017010871,"about_ca_topic_score_gemma":0.000028986535,"teacher_disagreement_score":0.7211417,"about_ca_system_score_codex":0.00006074981,"about_ca_system_score_gemma":0.0000056379013,"threshold_uncertainty_score":0.99997693},"labels":[],"label_agreement":null},{"id":"W2093409923","doi":"10.3182/20070822-3-za-2920.00124","title":"CONVERGENCE OF MULTI-UNIT OPTIMIZATION WITH NON-IDENTICAL UNITS: APPLICATION TO THE OPTIMIZATION OF A BIOREACTOR","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Convergence (economics); Mathematical optimization; Quadratic equation; Mathematics; Gradient method; Control theory (sociology); Optimization problem; Function (biology); Simple (philosophy); Scheme (mathematics); Computer science; Mathematical analysis","score_opus":0.009321080632805366,"score_gpt":0.21755075719090466,"score_spread":0.2082296765580993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093409923","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":[0.08314232,0.00005650051,0.91551775,0.000039482184,0.00009083303,0.00062984007,0.000007680793,0.00012265696,0.00039296655],"genre_scores_gemma":[0.96924275,0.000009863446,0.030537713,0.000011996357,0.000060744787,0.000042801046,0.000009574867,0.000038140857,0.000046437668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889445,0.0000044538433,0.0004424342,0.00017360502,0.00027626727,0.0002087646],"domain_scores_gemma":[0.9989116,0.00004565163,0.00017371593,0.00014538533,0.000651828,0.000071785114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003859983,0.00015046724,0.00021630511,0.00016301833,0.00004380551,0.000027636228,0.00024057516,0.000088071974,0.000008962154],"category_scores_gemma":[0.00013789498,0.00011979748,0.000025566149,0.000927058,0.000058761492,0.00021201356,0.000026641308,0.00009095714,0.0000057559605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055153858,0.000041908133,0.022419348,0.00024136053,0.000060176368,2.9063034e-7,0.0017148191,0.87977546,0.0944084,0.00021376599,0.000114685834,0.0009546417],"study_design_scores_gemma":[0.000368446,0.000064181746,0.0032006102,0.00011337095,0.00003671928,0.0000036584772,0.0005502596,0.985768,0.009564966,0.0000015746692,0.00019110995,0.00013709246],"about_ca_topic_score_codex":0.00010210277,"about_ca_topic_score_gemma":0.000034167588,"teacher_disagreement_score":0.8861004,"about_ca_system_score_codex":0.000047160596,"about_ca_system_score_gemma":0.000021318265,"threshold_uncertainty_score":0.48851994},"labels":[],"label_agreement":null},{"id":"W2094122937","doi":"10.3182/20090712-4-tr-2008.00024","title":"Adaptive extremum-seeking control of fed-batch cultures of micro-organisms exhibiting overflow metabolism","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","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":"Polytechnique Montréal","funders":"","keywords":"Substrate (aquarium); Control theory (sociology); Controller (irrigation); Lyapunov function; Biological system; Metabolism; Simple (philosophy); Carbon dioxide; Chemistry; Mathematics; Computer science; Control (management); Biology; Biochemistry; Nonlinear system; Ecology; Physics; Artificial intelligence","score_opus":0.006450267175764817,"score_gpt":0.23677863030704,"score_spread":0.23032836313127517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094122937","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":[0.99088275,0.0035693077,0.0025909548,0.0001028029,0.00014747142,0.00025699387,0.00005794782,0.000032487686,0.0023592773],"genre_scores_gemma":[0.99716735,0.00014031961,0.0017058293,0.00032764708,0.00033237273,0.000012133399,0.000013616581,0.000023783381,0.0002769334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986664,0.000017803693,0.00040497648,0.00038948673,0.00022093876,0.0003003701],"domain_scores_gemma":[0.9989309,0.000010466779,0.0003942802,0.00014597346,0.00042192132,0.000096497395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014382598,0.00024121637,0.00035829877,0.0000621697,0.00011997254,0.000036326062,0.00021957452,0.00019133951,0.000033542703],"category_scores_gemma":[0.00015847798,0.00021750887,0.00022806371,0.00014004085,0.00010666423,0.000022415603,0.00006682242,0.0001100699,0.000002246519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002344632,0.000118491465,0.0042311577,0.00004059495,0.00008514311,7.691104e-7,0.00023404126,0.000018265873,0.98916966,0.0003134137,0.0036639231,0.0018901028],"study_design_scores_gemma":[0.0010184167,0.0006678321,0.006025451,0.00010741384,0.00008408159,0.000012767057,0.00052946364,0.00034006682,0.98824674,0.00085426314,0.0018336579,0.00027985228],"about_ca_topic_score_codex":0.00004082455,"about_ca_topic_score_gemma":0.0000020924256,"teacher_disagreement_score":0.006284608,"about_ca_system_score_codex":0.000011746555,"about_ca_system_score_gemma":0.000051940115,"threshold_uncertainty_score":0.8869754},"labels":[],"label_agreement":null},{"id":"W2095175240","doi":"10.3182/20110828-6-it-1002.01667","title":"Low-Thermal Noise Input-Filter Design for DC/DC Power Regulators","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Electromagnetic Compatibility and Noise Suppression","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 New Brunswick","funders":"","keywords":"Noise (video); Converters; Electronic engineering; Buck converter; Filter (signal processing); Attenuation; Engineering; Power (physics); Electrical engineering; Computer science; Physics; Voltage","score_opus":0.017005318734511332,"score_gpt":0.2061222094308096,"score_spread":0.18911689069629828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095175240","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":[0.9908724,0.00022260338,0.0025054351,0.000042286712,0.00030228888,0.0005965076,0.000006784414,0.00055039005,0.0049013323],"genre_scores_gemma":[0.98636794,0.000009665976,0.012523539,0.000046490677,0.00011208046,0.00012425326,0.0000034683749,0.00007419559,0.00073838385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986084,0.000007753568,0.0003152017,0.00035146717,0.00018811776,0.0005290615],"domain_scores_gemma":[0.9994352,0.000044043514,0.000052935568,0.00018757976,0.0001340976,0.00014613777],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023610133,0.00028390292,0.00027063713,0.00011489794,0.00011362469,0.000055515866,0.00029222295,0.00017408728,0.00051337946],"category_scores_gemma":[0.00006778597,0.00027250667,0.000119667464,0.00017297735,0.00006752223,0.00036184795,0.000053734482,0.00018618052,0.000054503555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005116641,0.0003034188,0.0072012297,0.0007267489,0.00015240225,0.000004974278,0.012119276,0.00030157928,0.92240286,0.00071249215,0.036194444,0.019368928],"study_design_scores_gemma":[0.0008630155,0.0006995563,0.015765933,0.0001695133,0.000057737452,0.000010874764,0.0001260871,0.02698222,0.94886386,0.0024520303,0.0033172977,0.00069187075],"about_ca_topic_score_codex":0.00000765116,"about_ca_topic_score_gemma":0.0000017337144,"teacher_disagreement_score":0.032877147,"about_ca_system_score_codex":0.000055910616,"about_ca_system_score_gemma":0.000022212598,"threshold_uncertainty_score":0.9999727},"labels":[],"label_agreement":null},{"id":"W2095432411","doi":"10.3182/20070613-3-fr-4909.00017","title":"EFFICIENT DIAGNOSABILITY TEST FOR STATE-BASED DIAGNOSIS OF DISCRETE EVENT SYSTEMS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"State (computer science); A priori and a posteriori; Fault (geology); Event (particle physics); Algorithm; Polynomial; Mathematics; Computer science; Control theory (sociology); Artificial intelligence; Control (management)","score_opus":0.016974046798961737,"score_gpt":0.269796745506534,"score_spread":0.25282269870757224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095432411","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":[0.46050465,0.00045405485,0.5368423,0.00020091455,0.00044188104,0.0010456739,0.000049163227,0.0002220764,0.00023930878],"genre_scores_gemma":[0.9752127,0.0000050312597,0.02411199,0.000029492221,0.0001080901,0.00041774238,0.0000025121433,0.000028147788,0.000084290994],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967308,0.00001568893,0.0010011282,0.00078064465,0.00075766846,0.00071408565],"domain_scores_gemma":[0.99654526,0.00146928,0.0005424838,0.00044119326,0.00078963983,0.00021217357],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027531048,0.0002974044,0.0005250497,0.0002604941,0.00017683093,0.0002110069,0.0011522198,0.00011392743,0.0000028775742],"category_scores_gemma":[0.0015346667,0.00027337513,0.00020662957,0.0007671971,0.000121627956,0.00024479913,0.00023508925,0.00013817099,0.000012497904],"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":[0.000115740935,0.0014303328,0.8804913,0.0036934824,0.00010229388,0.00000895489,0.0035643862,0.06557751,0.00256839,0.0069440757,0.0035531516,0.03195035],"study_design_scores_gemma":[0.0008247608,0.00041151958,0.011130261,0.0005411217,0.000023543837,0.0000069297216,0.00021114087,0.96223825,0.021841971,0.00040687755,0.0019034226,0.00046020164],"about_ca_topic_score_codex":0.00013924003,"about_ca_topic_score_gemma":0.00001119736,"teacher_disagreement_score":0.89666075,"about_ca_system_score_codex":0.00028377093,"about_ca_system_score_gemma":0.000120462304,"threshold_uncertainty_score":0.99997187},"labels":[],"label_agreement":null},{"id":"W2107152297","doi":"10.3182/20020721-6-es-1901.00609","title":"DISCRETE-TIME ROBUST H∞ OUTPUT FEEDBACK CONTROL OF STATE DELAYED SYSTEMS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Control theory (sociology); Output feedback; Riccati equation; Norm (philosophy); Mathematics; Bounded function; Transfer function; Discrete time and continuous time; Robust control; Upper and lower bounds; State (computer science); Controller (irrigation); Full state feedback; Linear system; Constraint (computer-aided design); Control (management); Computer science; Control system; Engineering; Differential equation; Mathematical analysis; Algorithm; Law","score_opus":0.010538451517306422,"score_gpt":0.1764798509781995,"score_spread":0.16594139946089306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107152297","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":[0.9430016,0.010779753,0.01256038,0.00036568785,0.0012369382,0.0019114043,0.00031784212,0.0015560229,0.02827032],"genre_scores_gemma":[0.9958757,0.000055887944,0.00014646925,0.000019527466,0.00018172982,0.00009130702,0.0000034374186,0.00006458979,0.0035613354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980014,0.000015687705,0.0007119474,0.00032287618,0.00041324765,0.0005348227],"domain_scores_gemma":[0.9991039,0.0000887261,0.00016711482,0.00020097617,0.00027578216,0.00016350207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031165476,0.00033129184,0.0007049227,0.00012485156,0.00007710111,0.00013903313,0.00033987852,0.00014974277,0.00010354622],"category_scores_gemma":[0.00008830241,0.00031388176,0.0001684268,0.00025173413,0.00010357005,0.00040541647,0.000026615826,0.0001963931,0.00023080714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010651989,0.0007487511,0.068614595,0.009388455,0.0054364414,0.00004684962,0.024072058,0.5733773,0.12342296,0.0032026838,0.15334165,0.037283055],"study_design_scores_gemma":[0.0017291054,0.00015041768,0.0008075086,0.00017705632,0.000085564054,0.000016776306,0.00067069277,0.98726183,0.0004810795,0.00007094092,0.00807097,0.0004780556],"about_ca_topic_score_codex":0.00011158279,"about_ca_topic_score_gemma":0.0000057463017,"teacher_disagreement_score":0.41388452,"about_ca_system_score_codex":0.00011438936,"about_ca_system_score_gemma":0.000009716864,"threshold_uncertainty_score":0.99993134},"labels":[],"label_agreement":null},{"id":"W2148792653","doi":"10.3182/20080706-5-kr-1001.00046","title":"Delay-Range-Dependent Exponential Stability of Singular Systems with Multiple Time-Varying Delays","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential stability; Mathematics; Impulse (physics); Control theory (sociology); Linear matrix inequality; Range (aeronautics); Convergence (economics); Stability (learning theory); Linear system; Class (philosophy); Applied mathematics; Mathematical optimization; Computer science; Mathematical analysis; Nonlinear system; Control (management); Engineering; Physics","score_opus":0.012234557195376864,"score_gpt":0.18296465403962803,"score_spread":0.17073009684425117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148792653","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":[0.9907839,0.0015927388,0.0038962264,0.000014452189,0.00029714,0.0007196998,0.000029229952,0.0005294135,0.0021372002],"genre_scores_gemma":[0.99871796,0.000023904666,0.00080033386,0.000005862852,0.00017593148,0.0001125693,0.000005943956,0.000068191934,0.00008931522],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776846,0.000020804291,0.0006514027,0.00042355663,0.0006315144,0.00050425954],"domain_scores_gemma":[0.99893296,0.00010433016,0.00016040409,0.00025815496,0.000391495,0.00015265397],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039638774,0.00034568875,0.0006446707,0.00012037549,0.00018516931,0.00006622724,0.0003024898,0.00017490501,0.000045777768],"category_scores_gemma":[0.00010444343,0.00031883913,0.00013266811,0.00025349137,0.00018062427,0.0004559697,0.00004722266,0.00022576623,0.00003376185],"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":[0.00092499855,0.00041491346,0.7119583,0.0030894629,0.0008481994,0.000075248936,0.0128740035,0.022394931,0.24490263,0.00013818083,0.00086217484,0.0015169616],"study_design_scores_gemma":[0.0059680333,0.00074620754,0.013516701,0.00076259964,0.00026766126,0.0006172478,0.003723159,0.9185686,0.051945448,0.000057899,0.0019868205,0.001839627],"about_ca_topic_score_codex":0.0004187193,"about_ca_topic_score_gemma":0.000016833385,"teacher_disagreement_score":0.89617366,"about_ca_system_score_codex":0.00017886935,"about_ca_system_score_gemma":0.000053125637,"threshold_uncertainty_score":0.9999264},"labels":[],"label_agreement":null},{"id":"W2156015296","doi":"10.3182/20050703-6-cz-1902.02037","title":"ON-RAMP DECENTRALIZED NONLINEAR CONTROL WITH DISTURBANCE REJECTION","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Traffic control and management","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":"Control theory (sociology); Bounded function; Nonlinear system; Controller (irrigation); Disturbance (geology); Upstream (networking); Estimator; Variable structure control; Engineering; Observer (physics); Control (management); Mathematics; Computer science; Control engineering; Sliding mode control","score_opus":0.003516374905969362,"score_gpt":0.18063993652602897,"score_spread":0.1771235616200596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156015296","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":[0.97304624,0.0007533734,0.005141143,0.0013318779,0.00037505524,0.00079113466,0.000016040874,0.0020960711,0.016449058],"genre_scores_gemma":[0.99634486,0.000075835,0.002165966,0.00022307463,0.00023521058,0.00007760755,0.0000035737166,0.000039255658,0.0008346186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990392,0.000002051983,0.00017503646,0.00023238227,0.00020714456,0.00034422465],"domain_scores_gemma":[0.9997102,0.000017613496,0.0000375979,0.000088529465,0.00005926021,0.000086819375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006983697,0.00020328112,0.00020422778,0.0000679492,0.00007188221,0.000086982305,0.00012320782,0.000053200303,0.000047893],"category_scores_gemma":[0.000019849069,0.00017096123,0.000050922186,0.00014855854,0.00002970611,0.00022413005,0.000009510918,0.00014498232,0.00009299827],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017863885,0.00070005044,0.008888719,0.0006639187,0.0012145144,0.000023165021,0.0030389277,0.24099389,0.007979797,0.016632603,0.09051822,0.6275598],"study_design_scores_gemma":[0.006779515,0.00035193565,0.015792336,0.00016383054,0.00013716248,0.0000149114985,0.00015621314,0.37857288,0.0014560905,0.0001233622,0.5956727,0.0007790265],"about_ca_topic_score_codex":0.00000831937,"about_ca_topic_score_gemma":0.000029877023,"teacher_disagreement_score":0.62678075,"about_ca_system_score_codex":0.00010255678,"about_ca_system_score_gemma":0.000007220696,"threshold_uncertainty_score":0.69715965},"labels":[],"label_agreement":null},{"id":"W2239986940","doi":"10.1016/s1474-6670(17)32349-2","title":"A Multi-Objective Output-Feedback Controller for Systems with Friction","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Servomechanism; Observer (physics); Controller (irrigation); Linear matrix inequality; Position (finance); Control engineering; Output feedback; Servo; Tracking error; Tracking (education); Feedback controller; Engineering; Computer science; Control (management); Mathematics; Mathematical optimization; Artificial intelligence; Economics","score_opus":0.014478189237043781,"score_gpt":0.21500381341185815,"score_spread":0.20052562417481437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239986940","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":[0.28915372,0.003108336,0.6925337,0.00020151764,0.0017786024,0.0058545615,0.00014432105,0.002660951,0.0045643016],"genre_scores_gemma":[0.98690003,0.000009904392,0.010591706,0.000024388542,0.00061833265,0.0006407211,0.000006647851,0.00011890396,0.0010893857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985521,0.000004455895,0.000352422,0.00036573535,0.00025439294,0.0004708953],"domain_scores_gemma":[0.9990766,0.00004159961,0.00012429291,0.000092265574,0.0005374541,0.00012778988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001827033,0.00034265989,0.0005016167,0.0001530986,0.00013274846,0.00015728328,0.00017005776,0.00016230941,0.000001678336],"category_scores_gemma":[0.000082657614,0.00029371292,0.00011068762,0.00021034674,0.00005181259,0.00045378957,0.000017202126,0.00018248362,0.00006437726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048676343,0.001488198,0.037350073,0.0070261396,0.009306857,0.000063326355,0.030606257,0.67116284,0.17552504,0.01683047,0.023856184,0.02191698],"study_design_scores_gemma":[0.019121943,0.001014067,0.008921993,0.0006957452,0.00024872198,0.00010877615,0.005553166,0.9358811,0.0021374912,0.00015148803,0.024859266,0.0013062427],"about_ca_topic_score_codex":0.000090262525,"about_ca_topic_score_gemma":0.000021851283,"teacher_disagreement_score":0.6977463,"about_ca_system_score_codex":0.0003801561,"about_ca_system_score_gemma":0.000039284154,"threshold_uncertainty_score":0.9999515},"labels":[],"label_agreement":null},{"id":"W2246112431","doi":"10.3182/20090712-4-tr-2008.00084","title":"Real-time Optimization with Estimation of Experimental Gradients","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Estimation; Computer science; Mathematical optimization; Control theory (sociology); Engineering; Mathematics; Control (management); Artificial intelligence; Systems engineering","score_opus":0.004331526468663392,"score_gpt":0.1987481258281531,"score_spread":0.1944165993594897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2246112431","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":[0.9558818,0.00017422416,0.020652646,0.000031366028,0.000101912185,0.00040052182,0.0000034011462,0.00078262883,0.021971537],"genre_scores_gemma":[0.9817272,0.000008124089,0.018023971,0.0000045991665,0.000045658147,0.000014334659,0.000008155238,0.000027816708,0.000140177],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992268,0.0000031971877,0.00022683991,0.00015069953,0.00020959231,0.00018288921],"domain_scores_gemma":[0.9997102,0.00000858597,0.00008235702,0.0000724819,0.00007612746,0.0000502215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009154041,0.0001471276,0.00020173634,0.00010338243,0.00003749996,0.000043716725,0.00010271323,0.00005890754,0.000017275837],"category_scores_gemma":[0.000017452714,0.00014099554,0.000029318038,0.0001842174,0.000021793776,0.00037781434,0.000006494154,0.000050001785,0.000012919741],"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":[0.000053456723,0.00009017314,0.0019817343,0.000097186596,0.000058369784,0.000001632561,0.0020303598,0.27490214,0.715417,0.00050190534,0.0009823289,0.0038836934],"study_design_scores_gemma":[0.00043286965,0.0001728267,0.0011130373,0.00011077289,0.000015276606,0.0000095230425,0.00008761793,0.980168,0.017679546,0.000033052744,0.000018873221,0.00015859703],"about_ca_topic_score_codex":0.00001625761,"about_ca_topic_score_gemma":2.500411e-7,"teacher_disagreement_score":0.7052659,"about_ca_system_score_codex":0.000085291606,"about_ca_system_score_gemma":0.000006895714,"threshold_uncertainty_score":0.5749631},"labels":[],"label_agreement":null},{"id":"W2313893859","doi":"10.3182/20070821-3-ca-2919.00049","title":"OPTIMIZATION OF COMPLEX MINE VENTILATION SYSTEMS WITH COMPUTER NETWORK MODELLING","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ventilation (architecture); Computer science; Network model; Computer Applications; Engineering; Artificial intelligence","score_opus":0.018058845782881888,"score_gpt":0.1898814244296471,"score_spread":0.1718225786467652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313893859","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":[0.20300712,0.00025557657,0.7950751,0.0000039247916,0.00014686928,0.00017125692,0.0000011116808,0.00016148441,0.0011775374],"genre_scores_gemma":[0.9642555,0.000025295154,0.035344396,0.0000055567502,0.00024928767,0.0000037530376,0.000020606265,0.000028576125,0.00006700071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928117,0.0000014724084,0.00025828398,0.00011474648,0.00015550459,0.00018880398],"domain_scores_gemma":[0.9996495,0.000008433256,0.00007206865,0.000046864752,0.000186241,0.00003685991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001476947,0.000109340566,0.00015091056,0.000060782622,0.000052665393,0.0000451131,0.00006155434,0.000054366483,0.00001036462],"category_scores_gemma":[0.0000018816569,0.00009880784,0.000021865759,0.00023265684,0.000021135898,0.0002069109,0.000014934709,0.0000531938,0.0000016425838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034137996,0.000008143368,0.0040185046,0.000193822,0.000019702939,2.3907867e-7,0.00017866977,0.99346334,0.00021825059,0.00022369612,0.00050819485,0.0011332959],"study_design_scores_gemma":[0.00016029364,0.000057662444,0.0013133924,0.00013767845,0.000016887318,0.000003963825,0.000074699805,0.9970717,0.00023107139,0.000008516748,0.0008043867,0.00011974478],"about_ca_topic_score_codex":0.000026076052,"about_ca_topic_score_gemma":0.0000035634384,"teacher_disagreement_score":0.7612484,"about_ca_system_score_codex":0.00003471683,"about_ca_system_score_gemma":0.000004102827,"threshold_uncertainty_score":0.40292668},"labels":[],"label_agreement":null},{"id":"W2318629621","doi":"10.3182/20070821-3-ca-2919.00007","title":"MULTI-LEVEL DATA RECONCILIATION APPLICATION TO A GOLD ORE PROCESSING PLANT","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mineral Processing and Grinding","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":"Université Laval","funders":"","keywords":"Leaching (pedology); Slurry; Gold ore; Grinding; Mineral processing; Metallurgy; Context (archaeology); Particle size; Particle (ecology); Process engineering; Environmental science; Mineralogy; Materials science; Chemistry; Engineering; Chemical engineering; Geology; Environmental engineering; Soil science","score_opus":0.05851300375640988,"score_gpt":0.2804676368653645,"score_spread":0.22195463310895464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318629621","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":[0.80490893,0.00074824656,0.18719132,0.00023513362,0.00032601017,0.00064662617,0.00013896266,0.0015859236,0.004218863],"genre_scores_gemma":[0.94722617,0.00001307146,0.05129108,0.00008955938,0.0003547782,0.000035431985,0.00010770592,0.000058611295,0.0008236139],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842566,0.0000016490922,0.00037910612,0.0004728131,0.00025880375,0.00046197875],"domain_scores_gemma":[0.99936336,0.000018257006,0.00008818838,0.00020499066,0.0001519024,0.0001733082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006396594,0.00023131195,0.00020046876,0.00020195988,0.00013512884,0.00018609672,0.00047488938,0.00013656924,0.0000063824577],"category_scores_gemma":[0.0001499587,0.00023681454,0.000023294815,0.0005078628,0.00002128842,0.00076111266,0.000109961824,0.00021835045,0.00008366195],"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":[0.000045749515,0.00006919634,0.012978131,0.0010700638,0.000040709554,0.0000038468525,0.0038423175,0.0012993633,0.14853574,0.00011125803,0.021908065,0.81009555],"study_design_scores_gemma":[0.0006447459,0.000048337482,0.025368331,0.00046682073,0.000047271176,0.000044830485,0.00116217,0.9017165,0.0144505575,0.000102111415,0.055023845,0.0009245156],"about_ca_topic_score_codex":0.00003452247,"about_ca_topic_score_gemma":0.00009076314,"teacher_disagreement_score":0.9004171,"about_ca_system_score_codex":0.00013885123,"about_ca_system_score_gemma":0.000027058411,"threshold_uncertainty_score":0.9657017},"labels":[],"label_agreement":null},{"id":"W2319966494","doi":"10.3182/20050703-6-cz-1902.01452","title":"AN EVENT-TRIGGERED COMMUNICATION PROTOCOL FOR INTELLIGENT REAL-TIME CONTROL","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Node (physics); Identifier; Computer network; Priority ceiling protocol; Scheduling (production processes); Protocol (science); Distributed computing; Event (particle physics); Real-time computing; Dynamic priority scheduling; Engineering; Rate-monotonic scheduling; Quality of service","score_opus":0.017993818745122514,"score_gpt":0.3123048212891355,"score_spread":0.294311002544013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319966494","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":[0.029475806,0.000074204014,0.6064328,0.0053739944,0.00019730137,0.34616077,0.00001750955,0.002790438,0.009477195],"genre_scores_gemma":[0.5533733,0.000005017581,0.212261,0.0001889094,0.00038542016,0.23287319,0.000007341577,0.00005725385,0.0008485892],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975871,0.00005297803,0.000739611,0.0006498819,0.00042356164,0.00054690044],"domain_scores_gemma":[0.99780035,0.000114922346,0.0004957992,0.00069429085,0.0006655146,0.00022909624],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013459981,0.00029748623,0.0003966447,0.00017443403,0.00033376174,0.0007776217,0.0019281859,0.00015897227,0.000033582593],"category_scores_gemma":[0.00014856269,0.00028304086,0.0001458575,0.00033841564,0.00006424656,0.002567363,0.00015642797,0.00016866492,0.00022505542],"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":[0.0007913851,0.002573685,0.0100193415,0.0013810237,0.0004420205,0.0000039668453,0.019319989,0.0034893695,0.28961825,0.115539536,0.053834938,0.5029865],"study_design_scores_gemma":[0.0023382318,0.000552809,0.0006081418,0.00023768279,0.0000205548,0.000021678921,0.00020811339,0.93445706,0.024326846,0.0029024403,0.033712987,0.0006134314],"about_ca_topic_score_codex":0.00007753224,"about_ca_topic_score_gemma":0.0000066636635,"teacher_disagreement_score":0.9309677,"about_ca_system_score_codex":0.00020672781,"about_ca_system_score_gemma":0.00012712291,"threshold_uncertainty_score":0.99996215},"labels":[],"label_agreement":null},{"id":"W2320987366","doi":"10.3182/20070821-3-ca-2919.00057","title":"APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN DIAGNOSTICS OF MINING MACHINERY","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power Systems and Technologies","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":"Université Laval","funders":"","keywords":"Expert system; Circuit breaker; Haulage; Engineering; Transformer; Fault (geology); Fault detection and isolation; Control engineering; Electrical equipment; Electric power system; Reliability engineering; Computer science; Power (physics); Artificial intelligence; Electrical engineering; Actuator; Mechanical engineering; Voltage","score_opus":0.018854550686581685,"score_gpt":0.30178876213353945,"score_spread":0.28293421144695774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320987366","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":[0.6163008,0.00075021945,0.38108072,0.0000073015035,0.00012334256,0.000112561036,0.0000024261537,0.0001573677,0.0014652569],"genre_scores_gemma":[0.91411877,0.000058992602,0.0857654,0.0000012300935,0.000024838679,0.000012935905,6.2848824e-7,0.000012766652,0.0000044257504],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999171,0.0000020483944,0.00045647722,0.00011106374,0.00009398817,0.0001653879],"domain_scores_gemma":[0.9995733,0.00016737328,0.000099168545,0.000076244476,0.00006460232,0.000019309946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056202157,0.00009218671,0.00021002933,0.00022915208,0.000010242622,0.0000070585925,0.00016145308,0.000105552004,0.0000020971918],"category_scores_gemma":[0.0004331963,0.00009431022,0.000030137404,0.0004020605,0.000056589604,0.000081316146,0.00003728788,0.00010067184,0.000001434999],"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":[0.000008608323,0.000041453062,0.07170821,0.00042934448,0.000020273983,0.0000010129414,0.0018113796,0.00039463848,0.11826448,0.014360991,0.0000969506,0.79286265],"study_design_scores_gemma":[0.000049459723,0.000053613636,0.019786082,0.00017038388,0.000013381804,0.0000046519,0.00401122,0.0887784,0.88047534,0.005684211,0.0007492361,0.00022401393],"about_ca_topic_score_codex":0.000037312275,"about_ca_topic_score_gemma":0.00002966867,"teacher_disagreement_score":0.79263866,"about_ca_system_score_codex":0.000028745566,"about_ca_system_score_gemma":0.000005437809,"threshold_uncertainty_score":0.38458592},"labels":[],"label_agreement":null},{"id":"W2321092548","doi":"10.3182/20020721-6-es-1901.00837","title":"VIBRATION CONTROL OF A FLEXIBLE MACRO-MICRO MANIPULATOR SYSTEM USING NEURAL NETWORKS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Artificial neural network; Controller (irrigation); Vibration; Macro; Feed forward; Tracking error; Lyapunov function; Control engineering; Engineering; Lyapunov stability; Computer science; Vibration control; Nonlinear system; Control (management); Artificial intelligence; Physics","score_opus":0.011238046470147771,"score_gpt":0.18735156833351088,"score_spread":0.1761135218633631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321092548","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":[0.8521531,0.0023637908,0.14031789,0.0000437278,0.0011918013,0.00063693867,0.00001617095,0.0007405664,0.00253597],"genre_scores_gemma":[0.9990573,0.000007474536,0.00040778244,0.000024617977,0.00028537292,0.000026409105,0.000001256423,0.000051687515,0.00013811646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876827,0.000006291363,0.00046148134,0.00020465198,0.00020187433,0.00035742216],"domain_scores_gemma":[0.9995409,0.000016424194,0.00013214418,0.0001013043,0.00010908238,0.00010013111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013677894,0.0002062948,0.00038581472,0.00007719055,0.000068400346,0.00010655984,0.00018096897,0.00014858208,0.000031165182],"category_scores_gemma":[0.000009654504,0.00020674047,0.00011750979,0.00019192092,0.000018539302,0.0002630784,0.00002243077,0.00013943744,0.000011544324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013905029,0.00016468547,0.011836276,0.0025214322,0.0008672837,0.000026051177,0.0009697462,0.64828384,0.26796427,0.0433213,0.002101233,0.021804852],"study_design_scores_gemma":[0.0006254618,0.000048137354,0.0002176464,0.000111337875,0.000052638443,0.00003072826,0.00014213148,0.99795455,0.00046944353,0.000020589629,0.00012210931,0.00020521224],"about_ca_topic_score_codex":0.0000345129,"about_ca_topic_score_gemma":0.0000015686253,"teacher_disagreement_score":0.34967074,"about_ca_system_score_codex":0.00012976714,"about_ca_system_score_gemma":0.000003005102,"threshold_uncertainty_score":0.8430632},"labels":[],"label_agreement":null},{"id":"W2322933176","doi":"10.3182/20120523-3-ro-2023.00312","title":"Algorithms for Generating Minimal Cutsets in R-networks","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Correctness; Binary decision diagram; Benchmark (surveying); Set (abstract data type); Reliability (semiconductor); Computer science; Reduction (mathematics); Process (computing); Algorithm; Computation; Binary number; Theoretical computer science; Mathematics; Arithmetic","score_opus":0.030982293906998953,"score_gpt":0.30290310448482083,"score_spread":0.27192081057782186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322933176","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":[0.4455583,0.0013559029,0.55084366,0.00074716605,0.0003092782,0.00045903568,0.0000028957036,0.0002514443,0.0004723304],"genre_scores_gemma":[0.83779126,0.000029940647,0.16120735,0.000114505034,0.00045281416,0.00013081612,0.0000027978824,0.000012489738,0.00025802574],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981454,0.000014405656,0.00030843914,0.00040437852,0.00032329868,0.00080407166],"domain_scores_gemma":[0.9992115,0.0001743698,0.00007832564,0.00015398313,0.00020403929,0.0001778132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246,0.00015228655,0.00023616367,0.0001775851,0.00016957152,0.0002831625,0.0006496581,0.00011480304,0.000009820754],"category_scores_gemma":[0.00048112764,0.00014319865,0.00011354396,0.00068504974,0.00005185747,0.0011273999,0.00024965743,0.00020089692,0.000016690941],"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":[0.000019843053,0.0004080678,0.5457806,0.00016790789,0.00006425312,0.0000023658065,0.003873951,0.0005316789,0.0016367204,0.009119798,0.0056979065,0.4326969],"study_design_scores_gemma":[0.00029852448,0.00006844724,0.009630705,0.000029814977,0.000006382194,0.0000075734097,0.00014012936,0.9838332,0.0011097867,0.0005674253,0.0040699667,0.00023806265],"about_ca_topic_score_codex":0.000037764963,"about_ca_topic_score_gemma":0.0000047240146,"teacher_disagreement_score":0.9833015,"about_ca_system_score_codex":0.00008119417,"about_ca_system_score_gemma":0.000040975738,"threshold_uncertainty_score":0.5839471},"labels":[],"label_agreement":null},{"id":"W2325010409","doi":"10.3182/20080706-5-kr-1001.02521","title":"Extended Prediction Error Approach for MPC Performance Monitoring and Industrial Applications","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Mean squared prediction error; Computer science; Control engineering; Control theory (sociology); Engineering; Artificial intelligence; Machine learning; Control (management)","score_opus":0.02685967508991123,"score_gpt":0.22209918633334938,"score_spread":0.19523951124343814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325010409","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":[0.9862617,0.00036845048,0.008522997,0.00001566446,0.00041602954,0.0010540389,0.000015794063,0.00079730595,0.0025480164],"genre_scores_gemma":[0.9956195,0.000083618484,0.001467839,0.0000027225653,0.0009512876,0.0013521775,0.00000504743,0.000029123381,0.0004886977],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992701,0.0000016702317,0.00020208623,0.00019769903,0.00012457663,0.00020387294],"domain_scores_gemma":[0.99974895,0.000009470453,0.00003900264,0.000058653237,0.00006894689,0.000074990305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009423423,0.00013252013,0.00015082525,0.00008428554,0.00024826222,0.000044505046,0.0000761501,0.00012967651,0.0000016221868],"category_scores_gemma":[0.00001593236,0.0001380348,0.000036661644,0.00015361502,0.000035310004,0.0002856978,0.000011321835,0.00014122025,0.0000037415625],"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":[0.00049897865,0.00035980926,0.46730447,0.0031175478,0.0007152093,0.0000013293153,0.007653244,0.008545645,0.1499703,0.00073974236,0.025943922,0.33514982],"study_design_scores_gemma":[0.0020382816,0.0001695391,0.021779923,0.000051423776,0.00004740893,0.00011120782,0.0011768508,0.9208916,0.012165098,0.000025703506,0.041138224,0.000404756],"about_ca_topic_score_codex":0.000004707648,"about_ca_topic_score_gemma":1.0314774e-7,"teacher_disagreement_score":0.91234595,"about_ca_system_score_codex":0.000053733645,"about_ca_system_score_gemma":0.000009968681,"threshold_uncertainty_score":0.5628896},"labels":[],"label_agreement":null},{"id":"W2326840989","doi":"10.3182/20050703-6-cz-1902.01480","title":"A HYBRID SIMULATION/PHYSICAL ENVIRONMENT FOR BENCHMARKING REAL-TIME DISTRIBUTED CONTROL SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmarking; Java; Control (management); Real-time simulation; Computer science; Real-time Control System; Control system; Distributed computing; Control engineering; Embedded system; Engineering; Operating system; Artificial intelligence","score_opus":0.03512599670431799,"score_gpt":0.33959091226264176,"score_spread":0.3044649155583238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326840989","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":[0.58835936,0.000051074287,0.40680394,0.0010772541,0.000061658924,0.0016926038,0.00042768283,0.00037286448,0.0011535621],"genre_scores_gemma":[0.9916377,0.0000049418754,0.0058933175,0.0000632984,0.0006740668,0.00041746834,0.00004527694,0.000023205217,0.0012406943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997577,0.000015178203,0.00065933476,0.00059893564,0.0008202904,0.00032922823],"domain_scores_gemma":[0.99787134,0.0009545136,0.000385448,0.0002559503,0.00038973225,0.00014299915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008560035,0.00020076906,0.00036770158,0.00012657834,0.0003449593,0.00043827732,0.00044127036,0.00006915559,0.00015608036],"category_scores_gemma":[0.00040014807,0.00017015646,0.00018064083,0.00021016378,0.0000784664,0.00046653431,0.00006613371,0.000085556596,0.00033405522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019892528,0.0007279938,0.011428327,0.00004240847,0.00010522676,9.852962e-7,0.00089480245,0.69423515,0.031743873,0.024620632,0.07270138,0.16330029],"study_design_scores_gemma":[0.00041900334,0.00006635015,0.0013294903,0.00001058879,0.000024858657,0.0000018361458,0.000058819453,0.82984173,0.00093558396,0.0039914614,0.1631379,0.00018235866],"about_ca_topic_score_codex":0.000012780568,"about_ca_topic_score_gemma":1.8948361e-7,"teacher_disagreement_score":0.40327838,"about_ca_system_score_codex":0.00013710017,"about_ca_system_score_gemma":0.000024494648,"threshold_uncertainty_score":0.69387794},"labels":[],"label_agreement":null},{"id":"W2328286836","doi":"10.3182/20070821-3-ca-2919.00053","title":"A GOLD LEACHING SIMULATOR FOR TRAINING TO PROCESS ANALYSIS METHODS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","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":"Université Laval","funders":"","keywords":"Leaching (pedology); Simulation; Engineering; Process engineering; Computer science; Environmental science; Soil science","score_opus":0.03619326654866359,"score_gpt":0.39979535765050883,"score_spread":0.36360209110184527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328286836","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":[0.6081191,0.000008253674,0.3817036,0.00021225175,0.00003100492,0.0004262008,0.0000029810722,0.0002220243,0.009274621],"genre_scores_gemma":[0.77988327,6.866756e-7,0.21671252,0.000684715,0.000049475962,0.00008061781,0.0000035362252,0.000016410508,0.002568773],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986434,0.000008103054,0.00034140205,0.00040161295,0.0002525019,0.00035295967],"domain_scores_gemma":[0.99947506,0.0000869893,0.000121054574,0.000077220146,0.00005582541,0.00018382182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015738131,0.00015510122,0.00024527678,0.00021187973,0.00015357939,0.00009472709,0.0002169869,0.00007534568,0.0003058867],"category_scores_gemma":[0.00039952938,0.0001490813,0.000126418,0.0010402694,0.0000403985,0.0003740474,0.000046436875,0.00008803837,0.00003268395],"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":[0.00019896895,0.00017211666,0.1102995,0.00008423432,0.0002989067,0.0000014995572,0.066556275,0.007037088,0.3855787,0.004862589,0.015694113,0.40921602],"study_design_scores_gemma":[0.0011202972,0.000673778,0.079293475,0.000054238913,0.0006619874,0.000008549948,0.011904914,0.35429487,0.28729475,0.008346572,0.25442684,0.0019197614],"about_ca_topic_score_codex":0.000050438983,"about_ca_topic_score_gemma":0.000066821245,"teacher_disagreement_score":0.40729627,"about_ca_system_score_codex":0.000090147085,"about_ca_system_score_gemma":0.000007792602,"threshold_uncertainty_score":0.6079359},"labels":[],"label_agreement":null},{"id":"W2335265133","doi":"10.3182/20070604-3-mx-2914.00020","title":"OPTIMIZATION OF EXPERIMENTS FOR IMPROVED ESTIMATION OF PROTEIN INTERACTION PARAMETERS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","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":"Polytechnique Montréal","funders":"","keywords":"Estimation; Computer science; Engineering; Systems engineering","score_opus":0.033444938915321444,"score_gpt":0.35057340098650225,"score_spread":0.3171284620711808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335265133","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":[0.96964157,0.000084629624,0.028085632,0.00022736228,0.000054581753,0.0010351946,0.0000085188585,0.000022056161,0.0008404558],"genre_scores_gemma":[0.8582548,0.000008983872,0.1409522,0.00002073669,0.000033892535,0.000046207122,0.000027899177,0.000012169478,0.0006430885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914044,0.0000023886605,0.0003458286,0.0001479895,0.00019127852,0.00017205207],"domain_scores_gemma":[0.9992473,0.00003831253,0.0002071701,0.000048191545,0.0003955311,0.00006346116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026395379,0.00009094956,0.00021172612,0.00015381031,0.000035298344,0.000009098023,0.000054195894,0.00006435772,0.000025634006],"category_scores_gemma":[0.00024550877,0.00007861782,0.00008123365,0.0001431675,0.00006997012,0.00016836314,0.000022475893,0.000069169066,0.0000011605767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045212484,0.00039702075,0.005018376,0.0014741777,0.00014685412,5.5019376e-7,0.0010474822,0.0006344741,0.91150683,0.00065406266,0.00032094494,0.074278004],"study_design_scores_gemma":[0.00082250393,0.00089580985,0.0015068953,0.00022518494,0.000029047567,0.0000064870565,0.00044815917,0.17828302,0.81728595,0.00013891119,0.00027992792,0.00007809658],"about_ca_topic_score_codex":0.00010488646,"about_ca_topic_score_gemma":0.0000010523804,"teacher_disagreement_score":0.17764854,"about_ca_system_score_codex":0.0000420002,"about_ca_system_score_gemma":0.000030784995,"threshold_uncertainty_score":0.32059416},"labels":[],"label_agreement":null},{"id":"W2335752704","doi":"10.3182/20140824-6-za-1003.02515","title":"A Novel Local Time-Frequency Domain Feature Extraction Method for Tool Condition Monitoring Using S-Transform and Genetic Algorithm","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced machining processes and optimization","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":"Concordia University","funders":"","keywords":"Frequency domain; Time domain; Fault (geology); SIGNAL (programming language); Time–frequency analysis; Algorithm; Feature (linguistics); Signal processing; Computation; Condition monitoring; Computer science; Feature extraction; Correlation coefficient; Fault detection and isolation; Genetic algorithm; Engineering; Artificial intelligence; Electronic engineering; Digital signal processing; Computer vision; Machine learning","score_opus":0.006853979121837998,"score_gpt":0.26289760298905823,"score_spread":0.25604362386722024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335752704","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":[0.02957202,0.00030006957,0.9690393,0.000041188778,0.00020068901,0.00031927554,0.000017241871,0.00029320995,0.00021700276],"genre_scores_gemma":[0.08938844,0.00005116638,0.9100497,0.000011517492,0.00031279222,0.00005976713,0.000014922588,0.000060586437,0.00005113799],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991333,0.000002689071,0.00019554034,0.0002660451,0.00013009222,0.00027232882],"domain_scores_gemma":[0.9996404,0.000043663757,0.000068004505,0.000050568346,0.00013420776,0.00006316555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014305388,0.0002092153,0.00019767159,0.00009230869,0.00018665998,0.00010632895,0.00006756281,0.00016070565,0.0000040850646],"category_scores_gemma":[0.00003722,0.00022516353,0.000042581032,0.00014324683,0.000030099533,0.0006056284,0.000010775823,0.00016214221,0.0000013868057],"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":[0.000027829265,0.000029841454,0.0003669641,0.00081651745,0.00006653736,7.638089e-7,0.0008440068,0.08520896,0.25134754,0.00057454355,0.000077994526,0.6606385],"study_design_scores_gemma":[0.00058094383,0.00007375913,0.0004699832,0.000110764326,0.000056476565,0.0000861294,0.00018183526,0.98097587,0.011866052,0.0045946725,0.00070147624,0.00030203882],"about_ca_topic_score_codex":0.000010056258,"about_ca_topic_score_gemma":7.756428e-7,"teacher_disagreement_score":0.8957669,"about_ca_system_score_codex":0.00009510071,"about_ca_system_score_gemma":0.000011301619,"threshold_uncertainty_score":0.91819024},"labels":[],"label_agreement":null},{"id":"W2377446806","doi":"10.3182/20120829-3-mx-2028.00216","title":"Fault Diagnosis, Fault-tolerant and Cooperative Control for Unmanned Systems","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quanser (Canada); Concordia University","funders":"Northwestern Polytechnical University; Northwestern University","keywords":"Fault tolerance; Spacecraft; Fault (geology); Engineering; Control engineering; Control (management); Trajectory; Systems engineering; Work (physics); Control system; Computer science; Reliability engineering; Aerospace engineering; Artificial intelligence","score_opus":0.009121342655022143,"score_gpt":0.21999957655847252,"score_spread":0.21087823390345037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377446806","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":[0.96988606,0.01469578,0.0058208434,0.00025405103,0.0027567083,0.0027133112,0.00013931702,0.0012007353,0.002533186],"genre_scores_gemma":[0.9966051,0.000104623155,0.00007329019,0.0000832162,0.00068959635,0.0017702626,0.000004621964,0.000061639425,0.0006076263],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866694,0.000010795678,0.00035991374,0.00023402569,0.00017895346,0.0005493931],"domain_scores_gemma":[0.9993389,0.0000930433,0.00007075344,0.00007780315,0.00019599502,0.00022349833],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029084334,0.00028672034,0.0004466995,0.00009803107,0.00018547899,0.00022360384,0.00011183126,0.00016656297,0.000010422894],"category_scores_gemma":[0.00010299979,0.00025860936,0.00007862719,0.00013647125,0.000045053126,0.00052054814,0.000014156074,0.00011475361,0.000038211903],"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":[0.001449085,0.0010014251,0.3579204,0.0118818255,0.0053576585,0.000012260522,0.03889266,0.036225423,0.1577908,0.040665112,0.28005248,0.06875086],"study_design_scores_gemma":[0.003918773,0.00023976932,0.0026999924,0.00021699099,0.00012866546,0.000059906317,0.0038443161,0.77120054,0.0036909406,0.000025531814,0.21320336,0.0007711898],"about_ca_topic_score_codex":0.000049362505,"about_ca_topic_score_gemma":0.000008125619,"teacher_disagreement_score":0.73497516,"about_ca_system_score_codex":0.000077837256,"about_ca_system_score_gemma":0.0000084306885,"threshold_uncertainty_score":0.9999866},"labels":[],"label_agreement":null},{"id":"W2406420895","doi":"10.3182/20080706-5-kr-1001.01214","title":"Monitoring and Control of Process and Power Systems : Adapting to Environmental Challenges, Increasing Competitivity and Changing Customer and Consumer Demands: Status report prepared by the IFAC Coordinating committee on Process and Power Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Process (computing); Engineering; Process control; Control (management); Field (mathematics); Key (lock); Fault detection and isolation; Work in process; Advanced process control; Systems engineering; Risk analysis (engineering); Manufacturing engineering; Computer science; Business; Electrical engineering; Operations management; Computer security","score_opus":0.007871941190969295,"score_gpt":0.21402414447342435,"score_spread":0.20615220328245507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406420895","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":[0.97013015,0.02759159,0.00009392597,0.00004643797,0.00018887634,0.0011241355,0.00003929517,0.00016084586,0.0006247647],"genre_scores_gemma":[0.99881864,0.0007886869,0.000023460187,0.00001026186,0.000047037607,0.00019575517,0.0000015403024,0.00006311558,0.00005148441],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99791366,0.00005400648,0.000566984,0.00055248075,0.0003900953,0.000522785],"domain_scores_gemma":[0.99901474,0.00022384923,0.00028679278,0.0001222787,0.00010006674,0.00025225745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080922566,0.0004058921,0.0006722474,0.0001857426,0.0005052708,0.00021090753,0.00008065188,0.00015208372,0.0000010714544],"category_scores_gemma":[0.00016750164,0.000353916,0.000025327921,0.0001394951,0.00022627258,0.00040313628,0.00007674515,0.00026963034,5.0847024e-7],"study_design_candidate":"observational","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":[0.00041475464,0.000107934175,0.90534014,0.0048462073,0.0006643158,0.000053421303,0.046372656,0.0005078895,0.037077345,0.00009693001,0.00007479923,0.0044435826],"study_design_scores_gemma":[0.013856582,0.0017460608,0.25314415,0.011067669,0.00064418186,0.0146917505,0.40805927,0.27569085,0.008929138,0.00002392304,0.0077774907,0.004368923],"about_ca_topic_score_codex":0.00017910311,"about_ca_topic_score_gemma":0.000003835279,"teacher_disagreement_score":0.652196,"about_ca_system_score_codex":0.000065150525,"about_ca_system_score_gemma":0.000013241675,"threshold_uncertainty_score":0.9998913},"labels":[],"label_agreement":null},{"id":"W2407071357","doi":"10.3182/20100707-3-be-2012.0109","title":"A kinetic modelling approach to study the role of energy regulatory pathways in CHO cells","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","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":"Polytechnique Montréal","funders":"","keywords":"Chinese hamster ovary cell; Pentose phosphate pathway; Metabolic pathway; Glycolysis; Biochemistry; Glutamine; Catabolism; Anabolism; Citric acid cycle; Metabolism; NAD+ kinase; Metabolic network; Biology; Amino acid; Chemistry; Cell biology; Enzyme; Receptor","score_opus":0.00867089433594558,"score_gpt":0.21293420094724577,"score_spread":0.20426330661130018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407071357","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":[0.9949473,0.00028177674,0.00039293445,0.000009506561,0.00011357992,0.0003658962,0.0000061808414,0.0000147505625,0.0038680802],"genre_scores_gemma":[0.99867976,0.00002089829,0.0006558763,0.0000827644,0.00018260482,0.0002063262,0.0000045529464,0.000024954054,0.00014224625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989665,0.000013377999,0.0002381195,0.00037601247,0.00017036624,0.0002356265],"domain_scores_gemma":[0.99945915,0.000005078272,0.0000923932,0.00023430183,0.0001157258,0.00009334811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017607676,0.00015904519,0.00015204515,0.00006546923,0.000085914566,0.00003505506,0.0002983665,0.000115341056,0.00000832866],"category_scores_gemma":[0.000026882588,0.0001230312,0.00007729443,0.00016352475,0.000054622513,0.000006543171,0.00016978779,0.00012915744,0.000001960695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056587152,0.00048434275,0.012028957,0.000012988459,0.000027299875,2.507089e-7,0.000684383,0.002381097,0.9808506,0.0006015444,0.00045578982,0.0024161679],"study_design_scores_gemma":[0.00059999427,0.0004934762,0.005278503,0.00001664265,0.00002827836,0.0000058884493,0.0019300242,0.01126567,0.96920294,0.0014094348,0.009435693,0.0003334764],"about_ca_topic_score_codex":0.00015835492,"about_ca_topic_score_gemma":0.000022284203,"teacher_disagreement_score":0.011647673,"about_ca_system_score_codex":0.000006147857,"about_ca_system_score_gemma":0.000033379878,"threshold_uncertainty_score":0.50170666},"labels":[],"label_agreement":null},{"id":"W2411129111","doi":"10.3182/20080706-5-kr-1001.02383","title":"Dual EKF State and Parameter Estimation in Multi-Class First-Order Traffic Flow Models","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Traffic control and management","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Else Kröner-Fresenius-Stiftung","keywords":"Extended Kalman filter; Dual (grammatical number); Class (philosophy); State (computer science); Control theory (sociology); Computer science; Flow (mathematics); Estimation; Order (exchange); Kalman filter; Mathematical optimization; Control engineering; Mathematics; Engineering; Algorithm; Artificial intelligence; Control (management); Economics; Systems engineering","score_opus":0.016069825687196563,"score_gpt":0.2020509689174154,"score_spread":0.18598114323021883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2411129111","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":[0.9836615,0.00034133255,0.014630769,0.00015786663,0.000117460906,0.0003456906,0.000006064813,0.00036615453,0.00037319667],"genre_scores_gemma":[0.9822571,0.00025164578,0.01687589,0.000030238773,0.000019183834,0.00008322044,0.0000037813131,0.000030953306,0.00044798123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990678,0.0000022580998,0.0002353918,0.00023916803,0.00014622204,0.00030918553],"domain_scores_gemma":[0.99977607,0.000024032675,0.000026992055,0.000059625676,0.000043646476,0.00006965383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008097057,0.00019149692,0.00020556379,0.00014323965,0.00007587679,0.000057436795,0.00006994223,0.0000626713,0.00001082432],"category_scores_gemma":[0.000030414489,0.00019508915,0.000030461975,0.0001721568,0.000043219752,0.00046338027,0.000032078213,0.00013345823,0.00002024045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012835774,0.000043640317,0.00033282742,0.00012333522,0.000028126815,0.000009081581,0.0033504928,0.95356274,0.00005170317,0.000034510416,0.0011911441,0.04125956],"study_design_scores_gemma":[0.0010486947,0.000029372555,0.006816633,0.000034552897,0.000012764713,0.000011864692,0.00009605985,0.9906469,0.000022103439,0.00012250262,0.00093204924,0.0002265141],"about_ca_topic_score_codex":0.000021720916,"about_ca_topic_score_gemma":0.00010910994,"teacher_disagreement_score":0.041033044,"about_ca_system_score_codex":0.000055664976,"about_ca_system_score_gemma":0.000008151515,"threshold_uncertainty_score":0.79555047},"labels":[],"label_agreement":null},{"id":"W2412959285","doi":"10.3182/20050703-6-cz-1902.01089","title":"DESIGN OF A NEURAL NETWORK BASED SVC CONTROLLER","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Static VAR compensator; Artificial neural network; Controller (irrigation); Electric power system; Computer science; Hyperbolic function; Projection (relational algebra); Stability (learning theory); Control engineering; Power (physics); Engineering; Control (management); Mathematics; Algorithm; Artificial intelligence; Machine learning","score_opus":0.011347103735825656,"score_gpt":0.20020913241222055,"score_spread":0.1888620286763949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412959285","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":[0.134358,0.0019249709,0.840134,0.00055927364,0.00075077586,0.0014992502,0.000016286658,0.0017311181,0.019026298],"genre_scores_gemma":[0.982496,0.0000060189886,0.017103545,0.00008314147,0.000085369495,0.00003324207,0.0000012609256,0.000024662932,0.00016675223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991157,0.000009494227,0.00031442827,0.00014654154,0.00015453443,0.00025929027],"domain_scores_gemma":[0.9996263,0.0000417396,0.00005794465,0.00007140003,0.00012973767,0.00007290437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002687095,0.00014241519,0.0002610057,0.000049612194,0.000041855492,0.000036382542,0.00013134805,0.000075236276,0.00012305038],"category_scores_gemma":[0.00005005812,0.00013732065,0.00006107854,0.00020355855,0.000032754375,0.00018882958,0.000011843218,0.000086072294,0.000018380346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040425602,0.000024115372,0.0058260225,0.00008963471,0.000028355405,2.0391211e-7,0.000283651,0.981366,0.001076116,0.00014005996,0.0093107,0.0018147231],"study_design_scores_gemma":[0.0005770231,0.000030878728,0.0010327187,0.000023274712,0.000012008353,0.0000015126286,0.000029837809,0.9933471,0.00086012593,0.00002707388,0.0039194655,0.00013897396],"about_ca_topic_score_codex":0.0000025658312,"about_ca_topic_score_gemma":0.0000012769297,"teacher_disagreement_score":0.84813803,"about_ca_system_score_codex":0.000045412053,"about_ca_system_score_gemma":0.000014415748,"threshold_uncertainty_score":0.55997735},"labels":[],"label_agreement":null},{"id":"W2420297555","doi":"10.3182/20080706-5-kr-1001.01995","title":"CONTROL OF A FLEXIBLE ROBOT USING FUZZY LOGIC AND A NONCOLLOCATED SENSOR","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Control engineering; Fuzzy logic; Robot end effector; Inverse dynamics; Robot; Engineering; Compensation (psychology); Asynchronous communication; Fuzzy control system; Computer science; Control (management); Artificial intelligence; Physics","score_opus":0.016377857789719622,"score_gpt":0.21151432534949272,"score_spread":0.1951364675597731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2420297555","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":[0.9798288,0.0008573018,0.01621131,0.00005210322,0.0001834283,0.00032807628,0.000010465014,0.00026323067,0.0022652945],"genre_scores_gemma":[0.99767125,0.00003491683,0.0019240613,0.00003190987,0.00007910509,0.000018050749,6.534738e-7,0.00003056515,0.00020948664],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906796,0.000003913604,0.00030453547,0.00018073915,0.00016842275,0.00027441856],"domain_scores_gemma":[0.99960816,0.000020084328,0.00007659774,0.000065171276,0.00012827755,0.00010169625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012631275,0.00016756814,0.00038836987,0.000079325786,0.00006871195,0.000027697231,0.0001014555,0.00011287251,0.0000084594485],"category_scores_gemma":[0.00002996421,0.00015743896,0.00006456171,0.00018692669,0.000050246737,0.00012993423,0.000022431983,0.000104816376,0.0000064016144],"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":[0.00025891457,0.00018198133,0.023243036,0.0009126906,0.0007266749,0.00005350545,0.0014790616,0.020039443,0.9251899,0.01929045,0.0005184394,0.008105912],"study_design_scores_gemma":[0.0016792723,0.0001518683,0.0027214398,0.00009720591,0.000062431434,0.00015388148,0.00019961312,0.9918501,0.0018073524,0.0005790453,0.00038557782,0.00031222813],"about_ca_topic_score_codex":0.00009016697,"about_ca_topic_score_gemma":0.0000020747368,"teacher_disagreement_score":0.97181064,"about_ca_system_score_codex":0.000054170298,"about_ca_system_score_gemma":0.00001772975,"threshold_uncertainty_score":0.6420175},"labels":[],"label_agreement":null},{"id":"W2421772928","doi":"10.3182/20110828-6-it-1002.00591","title":"An Optimal Servomechanism Controller for SISO Positive Systems","year":2011,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Servomechanism; Robustness (evolution); Linear-quadratic regulator; Engineering; Linear system; Constant (computer programming); Quadratic equation; Control engineering; Mathematics; Optimal control; Computer science; Control (management); Mathematical optimization","score_opus":0.016898680315321407,"score_gpt":0.20868045630056595,"score_spread":0.19178177598524454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2421772928","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":[0.78705186,0.0011110588,0.15977013,0.000035932713,0.0020026509,0.0029586398,0.00013408742,0.0020193579,0.044916295],"genre_scores_gemma":[0.9955621,0.000010551399,0.0031508945,0.00003137416,0.00029770506,0.00037779796,0.0000082378,0.00007570023,0.00048563466],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988015,0.0000063601965,0.0003507159,0.00025667553,0.00016965822,0.00041504134],"domain_scores_gemma":[0.9994403,0.000029449093,0.000074953285,0.000099157995,0.00018933267,0.00016678874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002672763,0.0002478127,0.0003946009,0.000091893,0.00010384967,0.000115871226,0.0002460532,0.00016453404,0.000039146642],"category_scores_gemma":[0.00002330185,0.00023320869,0.00009019214,0.000104383354,0.000024625106,0.00040846225,0.000014907324,0.00009472822,0.00007307922],"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":[0.0019279094,0.0015250464,0.015489525,0.015541211,0.00659965,0.00006292729,0.29066035,0.031365883,0.30196676,0.17157987,0.08669625,0.076584615],"study_design_scores_gemma":[0.0011122795,0.00041775755,0.0006369224,0.00019135406,0.00007904363,0.00005035862,0.0048102406,0.9802982,0.008321832,0.00040782377,0.0031065547,0.0005676112],"about_ca_topic_score_codex":0.00007471697,"about_ca_topic_score_gemma":0.0000013961128,"teacher_disagreement_score":0.94893235,"about_ca_system_score_codex":0.00005656764,"about_ca_system_score_gemma":0.000011777797,"threshold_uncertainty_score":0.9509974},"labels":[],"label_agreement":null},{"id":"W2469730376","doi":"10.3182/20060402-4-br-2902.00323","title":"DESIGN OF ROBUST GAIN-SCHEDULED MPC CONTROLLERS FOR NONLINEAR PROCESSES","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Nonlinear system; Model predictive control; Stability (learning theory); Linear matrix inequality; Robust control; Robustness (evolution); Computer science; Control engineering; Engineering; Mathematics; Mathematical optimization; Control (management)","score_opus":0.01125530745263673,"score_gpt":0.20235820867773535,"score_spread":0.19110290122509863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469730376","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":[0.011641528,0.0011163048,0.9838005,0.000052516232,0.00015687729,0.0014720424,0.000029192259,0.00056684925,0.0011642403],"genre_scores_gemma":[0.77609,0.000036715024,0.22266883,0.000013416579,0.00028911373,0.00038846224,0.00002050596,0.00009443735,0.00039849692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987296,0.0000040859195,0.00048067665,0.0002436963,0.00018552218,0.00035645583],"domain_scores_gemma":[0.9989518,0.00011100039,0.0001746981,0.00008432907,0.00062818255,0.000049991093],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018489035,0.000242737,0.00042716158,0.00012894718,0.000070372436,0.00005229909,0.00017675696,0.0001269742,0.000006767745],"category_scores_gemma":[0.00023253431,0.0002486508,0.00006653589,0.00030776873,0.00004475368,0.0004019696,0.000012376305,0.00007983765,0.000004964774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092967144,0.000031735282,0.00037202326,0.0007521664,0.000059036738,3.203715e-7,0.00014991753,0.97454226,0.022014586,0.00026741953,0.0012019753,0.0005155757],"study_design_scores_gemma":[0.0019895763,0.00008952365,0.000043322267,0.00010339501,0.000052803516,0.0000035285327,0.00014272908,0.97337854,0.022440821,0.00049276766,0.0009713187,0.00029166084],"about_ca_topic_score_codex":0.000011277586,"about_ca_topic_score_gemma":0.0000046909063,"teacher_disagreement_score":0.76444846,"about_ca_system_score_codex":0.00007460504,"about_ca_system_score_gemma":0.000046000725,"threshold_uncertainty_score":0.9999966},"labels":[],"label_agreement":null},{"id":"W2471910018","doi":"10.3182/20060402-4-br-2902.00945","title":"OPPORTUNITY FOR REAL-TIME OPTIMIZATION IN A NEWSPRINT MILL: A SIMULATION CASE STUDY","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Newsprint; Mill; Engineering; Paper machine; Stock (firearms); Process (computing); Pulp mill; Operations research; Computer science; Waste management; Mechanical engineering; Pulp and paper industry","score_opus":0.01948630121371064,"score_gpt":0.26033925026866783,"score_spread":0.2408529490549572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471910018","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":[0.99166083,0.000033536526,0.0049564517,0.00002087132,0.00006263692,0.00059985404,0.0000044794056,0.00042589803,0.0022354221],"genre_scores_gemma":[0.9928472,0.000004093769,0.0063816113,0.000005072818,0.00013485404,0.00009541143,0.00001084715,0.00004422002,0.00047668585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904203,0.0000051885977,0.00033617136,0.00023116685,0.00012019948,0.0002652238],"domain_scores_gemma":[0.9996497,0.000038964878,0.000063298605,0.00006425425,0.000116192925,0.00006760612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028932586,0.00017466395,0.00020005305,0.0001966362,0.00011066881,0.00011316475,0.00007321971,0.00008242654,0.000018827035],"category_scores_gemma":[0.00008589432,0.00018749737,0.000038178965,0.00028034564,0.000013519251,0.00033535753,0.000021019463,0.00009987508,0.0000038913117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012827337,0.00009600959,0.010045444,0.00012713304,0.000009887793,0.000034077748,0.0011976721,0.98447394,0.0010207529,0.000017429871,0.00041927255,0.002545524],"study_design_scores_gemma":[0.0006307016,0.00006760937,0.0010191897,0.0000383579,0.000016238491,0.000040195122,0.0012045065,0.99632686,0.00013085644,0.00014971745,0.00015120789,0.00022455289],"about_ca_topic_score_codex":0.0008099398,"about_ca_topic_score_gemma":0.000094506686,"teacher_disagreement_score":0.011852897,"about_ca_system_score_codex":0.000107421736,"about_ca_system_score_gemma":0.000019322979,"threshold_uncertainty_score":0.76459205},"labels":[],"label_agreement":null},{"id":"W2476358898","doi":"10.3182/20080706-5-kr-1001.02292","title":"Discrete-Time H∞ Gaussian Filter","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","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 Windsor","funders":"","keywords":"Control theory (sociology); Filter (signal processing); Mathematics; White noise; Discrete time and continuous time; Estimator; Bounded function; Filter design; Nonlinear filter; Filtering problem; Noise (video); Linear-quadratic-Gaussian control; Gaussian noise; Computer science; Mathematical optimization; Algorithm; Statistics; Optimal control; Control (management); Mathematical analysis; Artificial intelligence","score_opus":0.013192447437844758,"score_gpt":0.2162731029652848,"score_spread":0.20308065552744003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476358898","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":[0.6765598,0.0010454342,0.13486776,0.008382173,0.0028257,0.000866167,0.0000591366,0.005728037,0.16966577],"genre_scores_gemma":[0.9211355,0.00007235869,0.0678609,0.00062936,0.0004352854,0.000019830664,0.000011979256,0.000029511859,0.009805297],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818057,0.000009338761,0.00028125086,0.0005989992,0.00041230858,0.0005175214],"domain_scores_gemma":[0.9991792,0.000040772695,0.00011272376,0.00034510987,0.00012399671,0.00019818988],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015748429,0.00022709816,0.00023706495,0.00011399761,0.0004265506,0.0002561593,0.0011310736,0.00011723205,0.00019844578],"category_scores_gemma":[0.00006671546,0.00019758892,0.00010006426,0.0004338153,0.00012912454,0.0011265657,0.0003823014,0.00024204097,0.0010088541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032557247,0.0001939554,0.04096112,0.000055716897,0.000067188885,0.00014405673,0.004942412,0.000053088697,0.0050142794,0.030156093,0.8836364,0.034743138],"study_design_scores_gemma":[0.0016994033,0.00049151777,0.07386654,0.0002730606,0.000037154798,0.0016045088,0.00018936527,0.25324523,0.010004766,0.008845115,0.64719707,0.0025462415],"about_ca_topic_score_codex":0.000020114103,"about_ca_topic_score_gemma":5.220789e-7,"teacher_disagreement_score":0.25319216,"about_ca_system_score_codex":0.000026476511,"about_ca_system_score_gemma":0.000033704193,"threshold_uncertainty_score":0.999769},"labels":[],"label_agreement":null},{"id":"W2483856510","doi":"10.3182/20060402-4-br-2902.00561","title":"Tuning an adaptive controller using a robust control approach","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Adaptive control; Estimator; Lyapunov function; Robust control; Eigenvalues and eigenvectors; Minification; Stability (learning theory); Recursive least squares filter; Computer science; Adaptive estimator; Mathematics; Control engineering; Mathematical optimization; Engineering; Control (management); Control system; Algorithm; Artificial intelligence; Adaptive filter; Nonlinear system; Machine learning; Statistics","score_opus":0.02201694018984091,"score_gpt":0.20689783742440626,"score_spread":0.18488089723456536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483856510","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":[0.44156274,0.001956637,0.52343327,0.000035001132,0.0004335082,0.0014617012,0.000062903215,0.0019572822,0.029096965],"genre_scores_gemma":[0.97043335,0.000002625494,0.027618576,0.000045010467,0.0012901061,0.000081925435,0.000009088747,0.00014826083,0.0003710247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978217,0.000021891801,0.0005513811,0.0004916095,0.00039683998,0.00071659376],"domain_scores_gemma":[0.9991179,0.000045844627,0.00015805651,0.00014259396,0.00035949677,0.00017612465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003643394,0.00046785746,0.0006940565,0.00022579782,0.00019135055,0.00022112933,0.0003217818,0.0002242031,0.000015097362],"category_scores_gemma":[0.000045157354,0.00047078595,0.00015551204,0.0002941319,0.000104821745,0.00091584603,0.000032983477,0.0003470203,0.00003095746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006552441,0.00043698656,0.022774737,0.00035157366,0.0009190273,0.0000340816,0.0013230271,0.77668345,0.17683597,0.0109414,0.004535327,0.0045091594],"study_design_scores_gemma":[0.002435866,0.000116073934,0.0018370172,0.000056398956,0.00009412517,0.000047676087,0.0007570335,0.99248344,0.00019140005,0.00014421168,0.001292426,0.00054435397],"about_ca_topic_score_codex":0.00022406098,"about_ca_topic_score_gemma":0.000013405961,"teacher_disagreement_score":0.52887064,"about_ca_system_score_codex":0.00024501065,"about_ca_system_score_gemma":0.00003375207,"threshold_uncertainty_score":0.9997744},"labels":[],"label_agreement":null},{"id":"W2490608401","doi":"10.3182/20070821-3-ca-2919.00036","title":"DAMPING INJECTION CONTROL OF WINDING SYSTEMS BASED ON PORT CONTROLLED HAMILTONIAN SYSTEMS","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hamiltonian system; Control theory (sociology); Port (circuit theory); Engineering; Control engineering; Control system; Control (management); Computer science; Mechanical engineering; Physics; Classical mechanics; Electrical engineering; Artificial intelligence","score_opus":0.005638927843645908,"score_gpt":0.19852546012704597,"score_spread":0.19288653228340005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490608401","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":[0.9062661,0.0011047722,0.06904745,0.00005311649,0.0025338046,0.0025908493,0.00004100496,0.0009918738,0.017371029],"genre_scores_gemma":[0.99916077,0.000003406706,0.00006174338,0.000019761512,0.00037713128,0.00010634271,0.0000056780414,0.00006161175,0.00020353495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99711347,0.00002384739,0.0011773721,0.00039179003,0.0006437542,0.0006497955],"domain_scores_gemma":[0.9986798,0.00029813682,0.00030512825,0.00019563713,0.00031329552,0.0002079868],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001933603,0.00038129292,0.0011311349,0.0003929441,0.00014469723,0.00016706994,0.00023611804,0.00026714813,0.000007872875],"category_scores_gemma":[0.00026497568,0.00035260772,0.00025510252,0.00035483637,0.000069774105,0.00024176703,0.000014276147,0.00030563315,0.000013662172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033977758,0.00049204996,0.32193506,0.0072552715,0.0012928059,0.000030041432,0.0017734994,0.52554953,0.12060292,0.009412274,0.00064294314,0.0076158205],"study_design_scores_gemma":[0.005479425,0.000290421,0.0109348595,0.00057306443,0.00007962824,0.000017182505,0.0008443027,0.98026735,0.00019128632,0.00001706697,0.0009179465,0.0003874677],"about_ca_topic_score_codex":0.00034427055,"about_ca_topic_score_gemma":0.000031371845,"teacher_disagreement_score":0.45471781,"about_ca_system_score_codex":0.00035183103,"about_ca_system_score_gemma":0.000031796255,"threshold_uncertainty_score":0.9998926},"labels":[],"label_agreement":null},{"id":"W2491986785","doi":"10.3182/20070821-3-ca-2919.00050","title":"CALORIMETRIC STUDY OF BURNERS USED IN FLAME-JET DRILLING","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Rocket and propulsion systems research","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":"Université du Québec à Chicoutimi","funders":"","keywords":"Mechanics; Drilling; Thermal conduction; Thermal; Materials science; Jet (fluid); Calorimeter (particle physics); Combustor; Transient (computer programming); Nuclear engineering; Mechanical engineering; Petroleum engineering; Thermodynamics; Engineering; Composite material; Combustion; Chemistry; Electrical engineering; Physics; Detector","score_opus":0.02418828753307917,"score_gpt":0.280876268611022,"score_spread":0.25668798107794283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491986785","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":[0.99384797,0.000373119,0.0001034319,0.0000064321102,0.0002143759,0.00047428726,0.0000010670176,0.00015317574,0.004826146],"genre_scores_gemma":[0.99931335,0.000022040005,0.00022162554,0.000002119205,0.00011261712,0.000019620733,9.242487e-7,0.00003939177,0.00026830012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820495,0.00000785138,0.0005453947,0.00023200785,0.0005471816,0.00046262375],"domain_scores_gemma":[0.9994896,0.00007301178,0.00006187728,0.00010553276,0.00015644611,0.00011350576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010249569,0.00017800121,0.00036041858,0.0009626628,0.00004714168,0.000046387522,0.00025475753,0.00011537809,0.000026269663],"category_scores_gemma":[0.00013339015,0.00016370743,0.000050146828,0.0017557623,0.00002336761,0.00021842621,0.00005487393,0.00028940718,0.00002772396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036360674,0.00011642707,0.933204,0.00025641592,0.000046714595,0.000013809946,0.00777624,0.00013490836,0.01927991,0.000008884177,0.0005660655,0.03856029],"study_design_scores_gemma":[0.0067160632,0.0014797561,0.55123925,0.00054340507,0.00005852741,0.000023446359,0.074771225,0.0235148,0.33085945,0.0002548835,0.008843802,0.0016954147],"about_ca_topic_score_codex":0.00030838887,"about_ca_topic_score_gemma":0.00011304944,"teacher_disagreement_score":0.38196474,"about_ca_system_score_codex":0.00010427357,"about_ca_system_score_gemma":0.000013393546,"threshold_uncertainty_score":0.66757953},"labels":[],"label_agreement":null},{"id":"W2502546624","doi":"10.3182/20060402-4-br-2902.00123","title":"NONCONVEX OPTIMIZATION AND ROBUSTNESS IN REALTIME MODEL PREDICTIVE CONTROL","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council; Queen's University","funders":"","keywords":"Robustness (evolution); Model predictive control; Nonlinear system; Computer science; Mathematical optimization; Nonlinear model; Control theory (sociology); Mathematics; Artificial intelligence; Control (management)","score_opus":0.0030143633450793834,"score_gpt":0.1754073532351568,"score_spread":0.17239298989007742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2502546624","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":[0.052415438,0.00042266445,0.9415342,0.00005891166,0.0000761389,0.0005720972,0.000015457408,0.0004897309,0.004415366],"genre_scores_gemma":[0.97139835,0.000046548856,0.028034786,0.0000126449395,0.000105047664,0.00014389982,0.0000122083175,0.00005474161,0.00019179369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895525,0.0000049689374,0.00033945867,0.00026252883,0.00014920381,0.0002886187],"domain_scores_gemma":[0.9996454,0.000021339867,0.000076636716,0.0000652075,0.00013789542,0.000053521533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012338457,0.00020070704,0.00027654524,0.00016505565,0.000051599713,0.000064808126,0.000083833715,0.00013989351,0.0000041467074],"category_scores_gemma":[0.000031657168,0.00022374523,0.000023671622,0.00022346518,0.00003808144,0.0007411662,0.000015420574,0.00013178206,0.0000017895792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002183718,0.000011768966,0.004710557,0.000062431405,0.000010588398,8.166818e-7,0.00010362663,0.993677,0.0006421222,0.00031341228,0.00014758737,0.0002982523],"study_design_scores_gemma":[0.0013735327,0.000022502283,0.0010527833,0.00005731714,0.000017137172,0.000005741032,0.0000692883,0.9967207,0.00011561482,0.00033410217,0.000016271686,0.0002150489],"about_ca_topic_score_codex":0.000038386155,"about_ca_topic_score_gemma":0.000013382495,"teacher_disagreement_score":0.91898286,"about_ca_system_score_codex":0.00014958296,"about_ca_system_score_gemma":0.0000145484355,"threshold_uncertainty_score":0.91240656},"labels":[],"label_agreement":null},{"id":"W2504784857","doi":"10.3182/20060402-4-br-2902.00227","title":"REAL-TIME DYNAMIC OPTIMIZATION OF NON-LINEAR BATCH SYSTEMS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking 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":"Queen's University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Nonlinear system; Computer science; Lyapunov function; Mathematical optimization; Cascade; Function (biology); State (computer science); Point (geometry); Control engineering; Mathematics; Engineering; Algorithm; Control (management)","score_opus":0.0033928753500133027,"score_gpt":0.19267148778512352,"score_spread":0.1892786124351102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504784857","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":[0.8321512,0.00094505976,0.086000755,0.00005540241,0.0012528972,0.0013013402,0.00004762179,0.0023018308,0.07594394],"genre_scores_gemma":[0.99204683,0.000042362008,0.005339728,0.0000015432464,0.000257416,0.000046054203,0.0000243438,0.0000975161,0.002144181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985191,0.000006012468,0.0005685475,0.00025287573,0.0003053154,0.00034814232],"domain_scores_gemma":[0.9993626,0.000030396877,0.00016583169,0.00014761409,0.00023679159,0.00005677475],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022948117,0.0002454449,0.00043672454,0.0001803909,0.000053294887,0.000076289536,0.00022293175,0.00017020792,0.000017813212],"category_scores_gemma":[0.000027426166,0.0002620146,0.00008109989,0.00033245914,0.00003746639,0.0003013987,0.000026672837,0.00011288981,0.00006864295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000099437575,0.000028715152,0.004247029,0.0006988194,0.0000589828,0.0000018823741,0.00018795552,0.56728196,0.4240993,0.0001473647,0.0030561737,0.00018191214],"study_design_scores_gemma":[0.00037970886,0.00003355863,0.0010381355,0.00019959464,0.00003207399,0.0000118735325,0.000075095675,0.9970157,0.0006011058,0.00001958833,0.00034025346,0.00025330097],"about_ca_topic_score_codex":0.00062104693,"about_ca_topic_score_gemma":0.0000063044113,"teacher_disagreement_score":0.42973378,"about_ca_system_score_codex":0.00015313737,"about_ca_system_score_gemma":0.000017657265,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W2507108593","doi":"10.3182/20060402-4-br-2902.00567","title":"PARAMETER CONVERGENCE IN ADAPTIVE EXTREMUM SEEKING CONTROL","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking 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":"Queen's University","funders":"","keywords":"Control theory (sociology); A priori and a posteriori; Parametric statistics; Mathematics; Nonlinear system; Convergence (economics); Perturbation (astronomy); Adaptive control; Mathematical optimization; Applied mathematics; Computer science; Control (management)","score_opus":0.0064895308046792905,"score_gpt":0.18149402631398154,"score_spread":0.17500449550930225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507108593","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":[0.8624056,0.0034385868,0.08593721,0.00019220331,0.0016156809,0.0013785734,0.000028682956,0.002173595,0.042829864],"genre_scores_gemma":[0.9980136,0.000011135685,0.00088712975,0.000049187947,0.0003419429,0.00012695497,0.0000024442515,0.00008057642,0.00048703785],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803585,0.000013206844,0.0005517981,0.0004051155,0.00031682654,0.00067722605],"domain_scores_gemma":[0.99944794,0.00011544869,0.00010197166,0.00013925841,0.00011398579,0.00008139232],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030091294,0.00034370364,0.00047104087,0.00024207584,0.000062978994,0.00013297844,0.00028512397,0.00018010131,0.000041562063],"category_scores_gemma":[0.000079490455,0.00036905363,0.00010495485,0.00038104918,0.00006496209,0.0004987713,0.000028761686,0.00031125997,0.000117731426],"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":[0.0000888614,0.00009016994,0.5375135,0.000283299,0.0001300218,0.000052039548,0.0010369635,0.0037682662,0.44264996,0.003239519,0.0071970415,0.0039503593],"study_design_scores_gemma":[0.0012638536,0.0000424953,0.024812343,0.00017143038,0.00002436394,0.000020789488,0.0001920134,0.9681236,0.0004763665,0.001341547,0.0030226263,0.0005085842],"about_ca_topic_score_codex":0.00045185705,"about_ca_topic_score_gemma":0.00015503912,"teacher_disagreement_score":0.96435535,"about_ca_system_score_codex":0.0002269152,"about_ca_system_score_gemma":0.000017488333,"threshold_uncertainty_score":0.99987614},"labels":[],"label_agreement":null},{"id":"W2524815557","doi":"10.3182/20060402-4-br-2902.01009","title":"MODEL PREDICTIVE CONTROL OF A CATALYTIC FLOW REVERSAL REACTOR WITH HEAT EXTRACTION","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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 Alberta","funders":"","keywords":"Model predictive control; Controller (irrigation); Control theory (sociology); Plug flow reactor model; Extraction (chemistry); Flow (mathematics); Engineering; Plug flow; Methane; Continuous stirred-tank reactor; Process engineering; Nuclear engineering; Computer science; Mechanics; Control (management); Chemistry; Physics; Chemical engineering; Chromatography","score_opus":0.0041314566058125715,"score_gpt":0.18395316594434588,"score_spread":0.1798217093385333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524815557","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":[0.09613275,0.00029407325,0.895572,0.00003909556,0.00011185069,0.0006762161,0.00006155626,0.0005807907,0.0065316707],"genre_scores_gemma":[0.98963875,0.000008310586,0.009809001,0.0000055599367,0.00013525585,0.00009011258,0.000015696887,0.000057007674,0.00024030152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989898,0.0000027694955,0.00030329495,0.00021994958,0.0002397849,0.00024437168],"domain_scores_gemma":[0.9995093,0.000022796,0.00009032786,0.00009418634,0.00023254337,0.00005087653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007516248,0.00019950543,0.00029636335,0.00010601705,0.00003674522,0.000028471068,0.00008858916,0.00010299796,0.000002974072],"category_scores_gemma":[0.000029236046,0.0001893201,0.000045913002,0.00018072163,0.00004123777,0.0007604243,0.000007268928,0.00013419733,0.0000043424834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012521123,0.000023411141,0.00231742,0.00012083689,0.00005629678,9.888687e-7,0.00022092967,0.95275694,0.04359193,0.00015396313,0.00033442007,0.00029762666],"study_design_scores_gemma":[0.001131286,0.00008333006,0.00059739436,0.000095190655,0.00007521052,0.000017906912,0.00012423503,0.9935114,0.003927948,0.00018841842,0.000058703317,0.00018897059],"about_ca_topic_score_codex":0.00008540658,"about_ca_topic_score_gemma":0.000016729484,"teacher_disagreement_score":0.893506,"about_ca_system_score_codex":0.00018223606,"about_ca_system_score_gemma":0.000024924562,"threshold_uncertainty_score":0.7720249},"labels":[],"label_agreement":null},{"id":"W2525188472","doi":"10.3182/20090819-3-pl-3002.00106","title":"Identification of nonlinear systems by nonparametric approach with application to control of flexible robot manipulator","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Concordia University","funders":"","keywords":"Identification (biology); Nonlinear system; Control theory (sociology); Robot manipulator; Nonparametric statistics; Convergence (economics); Block (permutation group theory); System identification; Control engineering; Robot; Computer science; Nonlinear system identification; Manipulator (device); Engineering; Control (management); Mathematics; Artificial intelligence; Data modeling","score_opus":0.005058000676500921,"score_gpt":0.19890652899601388,"score_spread":0.19384852831951296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525188472","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":[0.45610067,0.0012356822,0.53973866,0.00004150647,0.00012589371,0.0016753965,0.000044372453,0.00023879179,0.00079906674],"genre_scores_gemma":[0.99833345,0.000008938295,0.00094514986,0.0000059895865,0.00007618519,0.0002010109,0.00002115086,0.000027575685,0.00038054195],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851805,0.0000052420964,0.0006640573,0.0002798593,0.0003331373,0.00019967418],"domain_scores_gemma":[0.9989963,0.000013178268,0.0002959559,0.00020914244,0.00040430663,0.0000810963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000289958,0.00016962626,0.0003759791,0.00028107213,0.000037727285,0.00007723162,0.00021541132,0.00009526819,0.0000016077802],"category_scores_gemma":[0.000028616463,0.00016271502,0.00005052742,0.0008174701,0.000020350612,0.00026281245,0.0000066070716,0.00007416571,0.000014608875],"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":[0.0000724966,0.00019756336,0.003737185,0.00065544766,0.000110925444,7.0660576e-8,0.0004246089,0.03183558,0.94967234,0.002451409,0.0016433855,0.009198996],"study_design_scores_gemma":[0.0009972662,0.00024317074,0.02256193,0.000105073574,0.00011924346,0.0000082161505,0.0005113844,0.90698117,0.06696056,0.000035451896,0.0010966378,0.000379868],"about_ca_topic_score_codex":0.00009189928,"about_ca_topic_score_gemma":7.3981766e-7,"teacher_disagreement_score":0.88271177,"about_ca_system_score_codex":0.00007132879,"about_ca_system_score_gemma":0.000011079464,"threshold_uncertainty_score":0.66353256},"labels":[],"label_agreement":null},{"id":"W25266791","doi":"10.3182/20060912-3-de-2911.00184","title":"EXPERIMENTAL RESULTS ON INTELLIGENT FAULT DETECTION FOR ROBOTIC MANIPULATORS1","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Fault detection and isolation; Artificial neural network; Fault (geology); Nonlinear system; Control engineering; Scheme (mathematics); Computer science; Engineering; Feed forward; Identification (biology); Robot manipulator; Feedforward neural network; Robot; Artificial intelligence; Control (management); Actuator; Mathematics","score_opus":0.012320549637872009,"score_gpt":0.22741132692293395,"score_spread":0.21509077728506193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W25266791","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":[0.9713005,0.00046514728,0.010848724,0.00006442531,0.0022290524,0.0010506489,0.000010130513,0.0015302673,0.012501118],"genre_scores_gemma":[0.99768823,0.0000028787836,0.00014258086,0.000019490215,0.0005217588,0.00023291817,0.0000062799672,0.000052544907,0.0013333217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889255,0.000002850233,0.0003525261,0.0002696871,0.00018465088,0.00029774496],"domain_scores_gemma":[0.99971634,0.000019472245,0.000058128862,0.000081965525,0.00006237863,0.00006173791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103795945,0.00021090373,0.00019617063,0.00013196288,0.0001211885,0.00011314759,0.00009999076,0.00011985979,0.000008008907],"category_scores_gemma":[0.00002790806,0.00021317211,0.000110671,0.00014062108,0.000017435843,0.0001488139,0.000009997009,0.00011273705,0.000088448985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006445657,0.00023602646,0.00027079205,0.00033861387,0.00014410888,0.0000032482978,0.00089476793,0.10062464,0.85490865,0.0026269925,0.017377485,0.02193009],"study_design_scores_gemma":[0.00086287403,0.00027496254,0.0003558478,0.00004539303,0.000013610088,0.000013117262,0.0005003831,0.40173763,0.5748181,0.00011979861,0.020967118,0.00029121115],"about_ca_topic_score_codex":0.00008313007,"about_ca_topic_score_gemma":0.00001930881,"teacher_disagreement_score":0.30111298,"about_ca_system_score_codex":0.0002127475,"about_ca_system_score_gemma":0.0000038145424,"threshold_uncertainty_score":0.86929065},"labels":[],"label_agreement":null},{"id":"W2537288191","doi":"10.3182/20050703-6-cz-1902.00799","title":"OSCILLATIONS ANALYSIS IN NONLINEAR VARIABLE-STRUCTURE SYSTEMS WITH SECOND-ORDER SLIDING-MODES AND DYNAMIC ACTUATORS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Control theory (sociology); Nonlinear system; Actuator; Controller (irrigation); Variable structure control; Sliding mode control; Boundary layer; Boundary (topology); Variable (mathematics); Manifold (fluid mechanics); Mode (computer interface); Variable structure system; Mathematics; State variable; Computer science; Engineering; Control (management); Mathematical analysis; Physics","score_opus":0.003650233222096924,"score_gpt":0.19301809225511113,"score_spread":0.1893678590330142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537288191","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":[0.9797201,0.0010895598,0.015738238,0.00007327611,0.000089875575,0.00046799378,0.00012790735,0.00036587648,0.0023271842],"genre_scores_gemma":[0.97749484,0.000021777762,0.021653976,0.000017786891,0.00019124572,0.00003094205,0.000022339469,0.00006690869,0.0005001987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851096,0.000009213068,0.00041873165,0.0003952266,0.0002577867,0.00040805893],"domain_scores_gemma":[0.99934703,0.000053037606,0.00010928012,0.0001384288,0.00022485893,0.00012733614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017266186,0.00033712096,0.00056628307,0.0005640781,0.000093807335,0.00020024105,0.00016358409,0.00018406601,0.00004888308],"category_scores_gemma":[0.00005260088,0.000300926,0.000049894166,0.0012997416,0.000047621375,0.000589918,0.000034629735,0.00027644166,0.000008261193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010520886,0.00008904408,0.3823443,0.0010518981,0.0034636955,0.000013330992,0.0035737762,0.5836233,0.017046971,0.0031298525,0.0005253816,0.005033215],"study_design_scores_gemma":[0.0005621121,0.000034117922,0.009590523,0.000079955455,0.00020760277,0.00002429316,0.0009465359,0.9833887,0.00006589837,0.000015903322,0.0047047976,0.00037956153],"about_ca_topic_score_codex":0.000060681454,"about_ca_topic_score_gemma":0.000661259,"teacher_disagreement_score":0.39976537,"about_ca_system_score_codex":0.00021438426,"about_ca_system_score_gemma":0.000038660226,"threshold_uncertainty_score":0.99994427},"labels":[],"label_agreement":null},{"id":"W2549549379","doi":"10.1016/s1474-6670(17)32590-9","title":"Cybernetic Modeling of the Metabolic Adaptation of Activated Sludge Biomass","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Adaptation (eye); Activated sludge; Biomass (ecology); Cybernetics; Biochemical engineering; Environmental science; Engineering; Computer science; Ecology; Waste management; Biology; Sewage treatment; Artificial intelligence; Neuroscience","score_opus":0.015339093437550638,"score_gpt":0.2077117906125145,"score_spread":0.19237269717496386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549549379","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":[0.99848783,0.000120528035,0.00008135949,0.00009022698,0.00004051767,0.00019136925,0.0000035939884,0.000023236766,0.0009613348],"genre_scores_gemma":[0.9952745,0.000012381607,0.0045153415,0.000008197998,0.000011611244,0.000008037451,0.0000014661547,0.0000119485485,0.000156506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915844,0.000005181548,0.00021060824,0.00017457112,0.00028477202,0.00016643811],"domain_scores_gemma":[0.99970865,0.000004451669,0.00014129962,0.00008456224,0.000025689755,0.00003531987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080960606,0.000115359566,0.00015352636,0.000034241995,0.00006222816,0.000011346556,0.00020747377,0.000048616195,0.00005324114],"category_scores_gemma":[0.000017019205,0.00007848667,0.000085353866,0.00032845142,0.00011940217,0.00022049046,0.000102042846,0.0000487976,0.000020847421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022774506,0.000093573835,0.025470011,0.000015556803,0.000036146434,2.5395732e-7,0.0019036452,0.005605849,0.9652042,0.0002471332,0.000009916415,0.00139094],"study_design_scores_gemma":[0.00053222466,0.000052079762,0.013501758,0.000030575575,0.00006370343,0.0000051222632,0.0004801862,0.011965497,0.97148263,0.0017064089,0.00007771411,0.00010209413],"about_ca_topic_score_codex":0.0015623746,"about_ca_topic_score_gemma":0.000029337625,"teacher_disagreement_score":0.011968254,"about_ca_system_score_codex":0.000051539006,"about_ca_system_score_gemma":0.0000125067845,"threshold_uncertainty_score":0.32005936},"labels":[],"label_agreement":null},{"id":"W2611969489","doi":"10.1016/s1474-6670(17)31789-5","title":"Identifiability Analysis of a Liquid-Liquid Phase-Transfer Catalyzed Reaction System","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Identifiability; Linearization; Applied mathematics; Algebraic number; Work (physics); Mathematics; Differential (mechanical device); Control theory (sociology); Phase (matter); Linear system; Biological system; Computer science; Nonlinear system; Thermodynamics; Chemistry; Mathematical analysis; Physics; Statistics; Artificial intelligence","score_opus":0.006542096111168151,"score_gpt":0.22870268378700295,"score_spread":0.2221605876758348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611969489","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":[0.86357373,0.00020111895,0.13401534,0.000017020624,0.00021636541,0.00042384834,0.000040235853,0.0007199301,0.0007924357],"genre_scores_gemma":[0.99890375,0.000018896742,0.00077754987,0.0000030368203,0.00007058587,0.00010683777,0.000047503836,0.000046867306,0.00002494967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983449,0.0000076227684,0.00068363216,0.00035287565,0.00031853936,0.00029243974],"domain_scores_gemma":[0.9992136,0.000019689336,0.00010555939,0.00021082199,0.00035643534,0.000093905546],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029766868,0.00024025093,0.000604827,0.00044819977,0.00007075161,0.000042136664,0.00017830267,0.00015063427,0.000007958712],"category_scores_gemma":[0.000053623284,0.0002601844,0.00022932721,0.0013385749,0.000049436218,0.0007407033,0.000015775046,0.00012744882,0.000011945782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002848117,0.000082055776,0.00028441512,0.00073532865,0.0010393901,0.0000014829297,0.0011909195,0.19686238,0.7977512,0.001510803,0.000009048989,0.00024815928],"study_design_scores_gemma":[0.0063518058,0.0006153454,0.0015749931,0.0005921518,0.0039653834,0.000028119559,0.0028148107,0.27145785,0.7108211,0.00007181109,0.00042061473,0.0012860061],"about_ca_topic_score_codex":0.00019579622,"about_ca_topic_score_gemma":0.000044460387,"teacher_disagreement_score":0.13533005,"about_ca_system_score_codex":0.00050773,"about_ca_system_score_gemma":0.00002416758,"threshold_uncertainty_score":0.99998504},"labels":[],"label_agreement":null},{"id":"W2612111134","doi":"10.1016/s1474-6670(17)32271-1","title":"Stationkeeping and Slewing Control of a Multi-Tethered Aerostat","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Aerospace Engineering and Energy 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":"McGill University","funders":"","keywords":"Winch; Telescope; Control (management); Radio telescope; Engineering; Control engineering; Computer science; Control theory (sociology); Physics; Mechanical engineering; Artificial intelligence; Optics; Astronomy","score_opus":0.007117531919242803,"score_gpt":0.18770946223315849,"score_spread":0.18059193031391568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612111134","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":[0.92004365,0.0014802375,0.07731716,0.000041669253,0.00019724056,0.00013281488,0.000008530344,0.00044437475,0.00033434236],"genre_scores_gemma":[0.99282587,0.00005917163,0.006888835,0.000009930844,0.000053949003,0.00002298631,0.0000015111493,0.000044869405,0.00009286017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992655,0.0000018227423,0.00022363408,0.0001463778,0.00012313128,0.000239567],"domain_scores_gemma":[0.9997359,0.000017336435,0.00004531429,0.000054997312,0.000069701084,0.000076746364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010973242,0.0001568881,0.0002317789,0.00007545233,0.000048927974,0.00004068963,0.0000711619,0.00007552196,0.000002425783],"category_scores_gemma":[0.000047469617,0.00016596551,0.00003559303,0.0001340164,0.000038291135,0.00022491474,0.000012423644,0.00010264413,0.0000042393863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002477507,0.00005569223,0.02397199,0.0017361325,0.00026590284,0.000005696927,0.013995647,0.6007117,0.34455016,0.0039444705,0.00017998557,0.010557836],"study_design_scores_gemma":[0.009927273,0.00029220918,0.029014662,0.0015734991,0.00014135135,0.00007971193,0.007277405,0.856179,0.09023844,0.0005036305,0.0030907425,0.0016820544],"about_ca_topic_score_codex":0.00008079873,"about_ca_topic_score_gemma":0.0000073980523,"teacher_disagreement_score":0.25546733,"about_ca_system_score_codex":0.00005592141,"about_ca_system_score_gemma":0.000009427429,"threshold_uncertainty_score":0.67678773},"labels":[],"label_agreement":null},{"id":"W2612180235","doi":"10.1016/s1474-6670(17)38707-4","title":"Digital Imaging for Process Monitoring and Control with Industrial Applications","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","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":"McMaster University","funders":"","keywords":"Process control; Principal component analysis; Process (computing); Feature (linguistics); Engineering; Monitoring and control; Process engineering; Computer science; Control engineering; Data mining; Artificial intelligence","score_opus":0.011559405383985625,"score_gpt":0.25836973239122685,"score_spread":0.24681032700724123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612180235","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":[0.986784,0.0006828471,0.0041356212,0.00038159598,0.000019489675,0.00034442727,0.000051728694,0.00025062085,0.007349713],"genre_scores_gemma":[0.99805254,0.000009596803,0.0006254578,0.000014059267,0.0004997679,0.0003777936,0.0000064460905,0.000027331867,0.00038699884],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909294,2.1043942e-7,0.0001583966,0.0003201756,0.00015631107,0.00027194846],"domain_scores_gemma":[0.9995228,0.000031300293,0.000113258255,0.00006094654,0.00017508061,0.00009660811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037148402,0.0001653689,0.00019984879,0.000080758444,0.00019286037,0.0002849611,0.00013831203,0.00007300259,0.000014383624],"category_scores_gemma":[0.000081170794,0.00014658729,0.000037988055,0.00028992267,0.00009495718,0.0004512734,0.000017849228,0.0001429173,0.0000021463866],"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":[0.00025628612,0.00020285173,0.9137362,0.0004790248,0.00028403383,0.0000018068514,0.0005357829,0.000018194201,0.04483236,0.0006881427,0.00008652273,0.03887875],"study_design_scores_gemma":[0.009734659,0.00014385587,0.0010238538,0.0002100407,0.0006968995,0.00008788286,0.008946141,0.00028680096,0.96688086,0.004830928,0.00621755,0.0009405346],"about_ca_topic_score_codex":0.000007290029,"about_ca_topic_score_gemma":2.0715221e-7,"teacher_disagreement_score":0.9220485,"about_ca_system_score_codex":0.000069633235,"about_ca_system_score_gemma":0.000056095956,"threshold_uncertainty_score":0.5977656},"labels":[],"label_agreement":null},{"id":"W2612311408","doi":"10.1016/s1474-6670(17)38723-2","title":"Identification of Multirate Sampled-Data Systems","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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 Alberta","funders":"","keywords":"Observability; Controllability; LTI system theory; Control theory (sociology); Identification (biology); System identification; Time-invariant system; Linear system; Uniqueness; Sampled data systems; Computer science; Discrete time and continuous time; Mathematics; Control system; Engineering; Control (management); Data modeling; Applied mathematics; Statistics; Artificial intelligence","score_opus":0.01879172771448352,"score_gpt":0.22847161461415233,"score_spread":0.20967988689966882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612311408","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":[0.98284525,0.001790753,0.01236547,0.000065681736,0.0010514761,0.0005770691,0.0001064424,0.00045992297,0.000737935],"genre_scores_gemma":[0.9992008,0.000059602113,0.00018115713,0.0000020415857,0.00015915041,0.000043769007,0.000036331203,0.000028379847,0.0002887721],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988343,0.000002955282,0.0005340767,0.0002446577,0.00020965964,0.0001743463],"domain_scores_gemma":[0.9992789,0.000009702224,0.00015971794,0.0002980958,0.00020562678,0.000047947306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475003,0.00012401634,0.00020744315,0.00011021575,0.00005247716,0.00014783737,0.00036924912,0.00007434214,0.0000044849476],"category_scores_gemma":[0.00008889216,0.00012947049,0.000034806602,0.0002137964,0.000026841168,0.00062321976,0.00004313344,0.000071404385,0.00007465871],"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":[0.000010364611,0.000060099894,0.0039993017,0.001210771,0.00012755282,5.981441e-7,0.0011439215,0.0082164025,0.9690639,0.006213183,0.0033000635,0.006653847],"study_design_scores_gemma":[0.0026863986,0.000077864475,0.05168509,0.000658214,0.00019962822,0.00003738956,0.0024848848,0.8229723,0.09214129,0.001525653,0.02444722,0.0010840899],"about_ca_topic_score_codex":0.00032690619,"about_ca_topic_score_gemma":0.000019694795,"teacher_disagreement_score":0.8769226,"about_ca_system_score_codex":0.000074961055,"about_ca_system_score_gemma":0.000015979122,"threshold_uncertainty_score":0.5279653},"labels":[],"label_agreement":null},{"id":"W2612334672","doi":"10.1016/s1474-6670(17)38772-4","title":"Nonlinear Control of a Batch Reactor in the Presence of Uncertainties","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nonlinear system; Controller (irrigation); Batch reactor; Control theory (sociology); Robust control; Control (management); Tracking (education); Chemical reactor; Temperature control; Control engineering; Computer science; Engineering; Chemistry; Chemical engineering; Physics; Artificial intelligence","score_opus":0.006065460053865866,"score_gpt":0.20725115161823976,"score_spread":0.20118569156437388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612334672","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":[0.97186816,0.0008315745,0.024198787,0.00021873173,0.00012899445,0.00070678577,0.000019943267,0.00012428449,0.001902713],"genre_scores_gemma":[0.99648285,0.0000389844,0.0033302389,0.000011795242,0.000049738734,0.000047128695,0.0000013391676,0.000017880828,0.00002005995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991675,0.0000051445486,0.00033983952,0.0001114827,0.0002062016,0.00016983741],"domain_scores_gemma":[0.9995584,0.000060770017,0.00010917812,0.00009685043,0.0001557098,0.000019083258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018357954,0.000113537484,0.00024749068,0.00008155011,0.000013924862,0.000014119336,0.00022594117,0.0000615018,0.0000027969663],"category_scores_gemma":[0.00021460484,0.00009028237,0.000042447467,0.00027275502,0.00006453957,0.00026485405,0.000011146103,0.00010684083,0.0000016035444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001731776,0.0001965783,0.043899544,0.0013903674,0.00015362445,0.000004082758,0.020561626,0.7217428,0.19927016,0.008537249,0.00024163714,0.0038291654],"study_design_scores_gemma":[0.008089153,0.00052841264,0.01425128,0.0013318886,0.00011219292,0.00003018466,0.011617295,0.8789667,0.075231954,0.0064728046,0.0025008772,0.00086726015],"about_ca_topic_score_codex":0.00012798252,"about_ca_topic_score_gemma":0.000020453528,"teacher_disagreement_score":0.1572239,"about_ca_system_score_codex":0.000048390786,"about_ca_system_score_gemma":0.000019776044,"threshold_uncertainty_score":0.3681608},"labels":[],"label_agreement":null},{"id":"W2612341403","doi":"10.1016/s1474-6670(17)31847-5","title":"Inclusion of Actuator Saturation as Complementarity Constraints in Integrated Design and Control","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Complementarity (molecular biology); Bilinear interpolation; Control theory (sociology); Nonlinear system; Solver; Actuator; Mathematical optimization; Mixed complementarity problem; Saturation (graph theory); Reset (finance); Computer science; Control engineering; Optimal control; Engineering; Mathematics; Control (management)","score_opus":0.006587997221658211,"score_gpt":0.21510069874599322,"score_spread":0.20851270152433501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612341403","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":[0.6704346,0.00016199166,0.32808748,0.000083181345,0.00006831419,0.00074870547,0.000010570665,0.00014638026,0.00025876917],"genre_scores_gemma":[0.9770742,0.000023208831,0.022794563,0.000027855165,0.00001639447,0.000033492008,0.000008617756,0.000017781806,0.000003869396],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921054,0.000008218253,0.0003245843,0.00015100084,0.0001412089,0.00016444163],"domain_scores_gemma":[0.9996703,0.000033308737,0.0000863005,0.00004166057,0.00012212506,0.00004625041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017065497,0.0001406767,0.00023902781,0.00012157044,0.00006394528,0.000026019661,0.000073414674,0.00007946155,0.000013056271],"category_scores_gemma":[0.00010995647,0.00014262894,0.000017733615,0.00017561123,0.00006774995,0.0003821064,0.000037467616,0.00011609612,0.0000022714414],"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":[0.0003263899,0.000108927255,0.016611794,0.0004039119,0.00013197522,0.0000059503514,0.008600985,0.17170373,0.76492363,0.007131494,0.000077975135,0.029973254],"study_design_scores_gemma":[0.015671713,0.00049983535,0.017583154,0.00086801016,0.00008188028,0.0000534835,0.002606282,0.85157907,0.090966165,0.018846342,0.00033884073,0.0009051961],"about_ca_topic_score_codex":0.00013164409,"about_ca_topic_score_gemma":0.000034494085,"teacher_disagreement_score":0.6798754,"about_ca_system_score_codex":0.00019971526,"about_ca_system_score_gemma":0.000030768053,"threshold_uncertainty_score":0.5816239},"labels":[],"label_agreement":null},{"id":"W2612477711","doi":"10.1016/s1474-6670(17)31300-9","title":"Extremum-seeking control of state-constrained nonlinear systems","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Controller (irrigation); State (computer science); Class (philosophy); Mathematical optimization; Set (abstract data type); Mathematics; Point (geometry); Control (management); Computer science; Algorithm; Artificial intelligence","score_opus":0.006270188960820175,"score_gpt":0.19027762839018358,"score_spread":0.1840074394293634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612477711","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":[0.6659447,0.005414166,0.3021625,0.00017232959,0.0025437272,0.0019758202,0.00018634935,0.0029442024,0.018656181],"genre_scores_gemma":[0.9977622,0.000028595912,0.0014596321,0.000020409234,0.00035403168,0.00006784388,0.000004866721,0.00011407631,0.00018832278],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976377,0.000010295462,0.0008648144,0.00036490397,0.00048087194,0.00064142025],"domain_scores_gemma":[0.9989901,0.00006750453,0.00024140842,0.00020848119,0.0003245964,0.00016787894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004357518,0.00039808603,0.0007350335,0.00026662878,0.000085682,0.00015857078,0.0003826266,0.00018180422,0.000012375141],"category_scores_gemma":[0.00013371234,0.0004093152,0.00016301995,0.00036318123,0.00012469033,0.00042810664,0.000030054905,0.00028640896,0.00005622695],"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":[0.00004940807,0.000069882815,0.010400061,0.0011422632,0.00034821822,0.000017395465,0.0017485246,0.015802335,0.9663652,0.001617991,0.00024308795,0.0021955909],"study_design_scores_gemma":[0.0042547183,0.0001630974,0.0006592457,0.0008808828,0.000094727184,0.000107780994,0.00086843275,0.98521954,0.002927424,0.0004702074,0.0035910362,0.0007629296],"about_ca_topic_score_codex":0.00021885797,"about_ca_topic_score_gemma":0.000014416887,"teacher_disagreement_score":0.96941715,"about_ca_system_score_codex":0.00022677428,"about_ca_system_score_gemma":0.00006553032,"threshold_uncertainty_score":0.99983585},"labels":[],"label_agreement":null},{"id":"W2612596223","doi":"10.1016/s1474-6670(17)38843-2","title":"On the Use of Controller Parametrization in the Optimal Design of Dynamically Operable Plants","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Parametrization (atmospheric modeling); Controller (irrigation); Control theory (sociology); Control engineering; Optimal control; Optimal design; Mathematical optimization; Computer science; Control (management); Mathematics; Engineering; Physics","score_opus":0.0241398327053369,"score_gpt":0.20729353074117535,"score_spread":0.18315369803583845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612596223","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":[0.54511565,0.000106505184,0.45321888,0.00013802243,0.000055008175,0.001058787,0.000010790311,0.000067704284,0.00022867194],"genre_scores_gemma":[0.99019766,0.00003760545,0.009590795,0.000044018834,0.000013454697,0.00007245666,0.0000024065996,0.000020998194,0.000020591719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991324,0.00001744134,0.00033915037,0.0001188475,0.00022368447,0.00016849104],"domain_scores_gemma":[0.9994071,0.00027495436,0.0001064949,0.00008970375,0.00010514162,0.000016565418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002778396,0.00012436257,0.00022210782,0.00010654346,0.000035780387,0.00004134844,0.00020400854,0.00007168624,0.000003636858],"category_scores_gemma":[0.00044519568,0.000079454,0.000033407185,0.00031759468,0.000041341722,0.00028962514,0.000010498858,0.00012410617,0.0000027893936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006568002,0.00002899689,0.0002888373,0.000023432432,0.000022614035,3.275444e-7,0.0005835077,0.9862919,0.007903387,0.00441055,0.000059993956,0.0003207712],"study_design_scores_gemma":[0.0010592956,0.00011230877,0.00075012224,0.00013105663,0.000011649885,0.0000031126153,0.00023505332,0.9939573,0.002807639,0.0007914633,0.000036702644,0.00010430878],"about_ca_topic_score_codex":0.00003345383,"about_ca_topic_score_gemma":0.0000024862059,"teacher_disagreement_score":0.44508204,"about_ca_system_score_codex":0.00006435393,"about_ca_system_score_gemma":0.000014130705,"threshold_uncertainty_score":0.32400402},"labels":[],"label_agreement":null},{"id":"W2612642094","doi":"10.1016/s1474-6670(17)38842-0","title":"Adaptive Extremum Seeking Control of Nonisothermal Continuous Stirred Tank Reactors 1","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Queen's University","funders":"","keywords":"Control theory (sociology); Continuous stirred-tank reactor; Controller (irrigation); Adaptive control; Lyapunov function; Isothermal process; Stability (learning theory); Lyapunov stability; Engineering; Control (management); Control engineering; Computer science; Nonlinear system; Physics; Thermodynamics; Chemical engineering","score_opus":0.006853160638049531,"score_gpt":0.18511584083226856,"score_spread":0.17826268019421904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612642094","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":[0.7859716,0.003074837,0.17927535,0.0003257711,0.0016188183,0.0017088923,0.000105334264,0.002532566,0.025386838],"genre_scores_gemma":[0.99801105,0.000016055481,0.0011132563,0.00003384712,0.00034688372,0.00006300653,0.0000030731064,0.00014051166,0.00027232862],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977523,0.000011550029,0.00069691637,0.00040383002,0.0004624345,0.00067298074],"domain_scores_gemma":[0.99899757,0.000076304925,0.00027581915,0.00020300983,0.0002875899,0.00015969078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030957474,0.00043860154,0.0007814956,0.00022580917,0.00009097496,0.00010169126,0.00038963775,0.00023623012,0.000028198225],"category_scores_gemma":[0.00012699763,0.00045555984,0.00019714885,0.0003283834,0.00012761875,0.00049477455,0.000037909398,0.00031861686,0.00004600351],"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":[0.00012180137,0.00008194359,0.016208975,0.00024561217,0.00039404613,0.000018726667,0.003092235,0.0014164336,0.9728517,0.0016012728,0.00047596826,0.0034912936],"study_design_scores_gemma":[0.02145479,0.0012950778,0.018449701,0.0028732375,0.0006744949,0.00029498964,0.007280012,0.8973227,0.026790237,0.0034404302,0.016283806,0.0038405263],"about_ca_topic_score_codex":0.0001665165,"about_ca_topic_score_gemma":0.00003096842,"teacher_disagreement_score":0.94606143,"about_ca_system_score_codex":0.00028367023,"about_ca_system_score_gemma":0.000054416218,"threshold_uncertainty_score":0.9997896},"labels":[],"label_agreement":null},{"id":"W2612644464","doi":"10.1016/s1474-6670(17)31796-2","title":"Multivariate Forecasting of Batch Evolution for Monitoring and Fault Detection","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"McMaster University","funders":"","keywords":"Multivariate statistics; Fault detection and isolation; Fault (geology); Computer science; Econometrics; Artificial intelligence; Machine learning; Mathematics; Geology; Seismology","score_opus":0.012849865801310943,"score_gpt":0.2207253952660185,"score_spread":0.20787552946470755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612644464","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":[0.9677828,0.00028812615,0.030449606,0.000013347473,0.00055465323,0.0003382991,0.0000042312367,0.00028385746,0.00028507452],"genre_scores_gemma":[0.99765086,0.000009181216,0.0019312414,0.0000010641265,0.00023351164,0.000103014674,4.3079348e-7,0.000028861154,0.00004182641],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992897,0.0000017224216,0.00024164643,0.00015731905,0.00010782275,0.00020182403],"domain_scores_gemma":[0.99969447,0.000019349027,0.00006911805,0.00003884582,0.00012762498,0.00005056829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001371029,0.00012793006,0.00017275671,0.00010364309,0.000100010075,0.00004132354,0.000049849925,0.000098042015,6.834478e-7],"category_scores_gemma":[0.00010075788,0.00013547804,0.000050696173,0.0001456489,0.000020458978,0.00026640837,0.000011416262,0.000085648564,0.0000015912473],"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":[0.00006651831,0.000018727804,0.0050878953,0.00075504434,0.00008622043,4.3187202e-7,0.0015308636,0.011958354,0.93276256,0.00030477304,0.000012241938,0.047416385],"study_design_scores_gemma":[0.0021917576,0.00020252669,0.008617034,0.00029155813,0.000045645913,0.00004452656,0.0018162342,0.656039,0.32863957,0.0013194841,0.00046477665,0.00032789665],"about_ca_topic_score_codex":0.00013628785,"about_ca_topic_score_gemma":0.000013920645,"teacher_disagreement_score":0.64408064,"about_ca_system_score_codex":0.00012949617,"about_ca_system_score_gemma":0.0000069231005,"threshold_uncertainty_score":0.5524634},"labels":[],"label_agreement":null},{"id":"W2612804639","doi":"10.1016/s1474-6670(17)32604-6","title":"Evaluation of the Oxygen Mass Transfer Using Data Reconciliation","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fermentation; Aspergillus niger; Mass transfer; Chemistry; Process (computing); Oxygen; Chromatography; Process engineering; Food science; Computer science; Engineering; Organic chemistry","score_opus":0.053773946979242426,"score_gpt":0.2629778577761125,"score_spread":0.20920391079687006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612804639","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":[0.99311227,0.0003232005,0.003368685,0.00008101735,0.0005342509,0.0003800331,0.000017480439,0.0001220263,0.002061065],"genre_scores_gemma":[0.999588,0.000007812967,0.0002288774,0.000012309845,0.00009872322,0.00001557052,0.0000028146649,0.000017219912,0.000028675953],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990119,0.000010112733,0.00022650692,0.00014615602,0.00048542308,0.00011994407],"domain_scores_gemma":[0.9995306,0.000004697642,0.000032587966,0.0001670939,0.00024098765,0.000024003066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007995069,0.000090373105,0.00011417983,0.000043827145,0.000058403744,0.00003466753,0.00023944287,0.000068450994,0.000020214717],"category_scores_gemma":[0.00009615731,0.000074722324,0.000039292583,0.00020480872,0.000018526825,0.0003458741,0.00001451762,0.00008065825,0.000007316215],"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":[0.000015451762,0.000025254698,0.0023420479,0.00024395673,0.00021472461,1.1865285e-7,0.0020952562,0.111806415,0.8418214,0.00035882462,0.0003291612,0.04074743],"study_design_scores_gemma":[0.0008481707,0.000012731029,0.0025395658,0.000083635874,0.00014270516,0.0000055093033,0.0004209718,0.9604569,0.033569563,0.00064868643,0.0011451254,0.00012642959],"about_ca_topic_score_codex":0.00008410859,"about_ca_topic_score_gemma":0.000042133215,"teacher_disagreement_score":0.8486505,"about_ca_system_score_codex":0.0001944397,"about_ca_system_score_gemma":0.000056151945,"threshold_uncertainty_score":0.30470878},"labels":[],"label_agreement":null},{"id":"W2612825179","doi":"10.1016/s1474-6670(17)30738-3","title":"Hierarchical distributed diagnosis under global consistency","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Consistency (knowledge bases); Computer science; Hierarchical database model; Data mining; Theoretical computer science; Artificial intelligence","score_opus":0.02089992636437722,"score_gpt":0.2586154645791613,"score_spread":0.23771553821478408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612825179","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":[0.5080531,0.00071467005,0.4787253,0.005206528,0.0007215691,0.0003369133,0.00004693233,0.0010516616,0.005143305],"genre_scores_gemma":[0.9510957,0.000033023367,0.048102967,0.000475281,0.00014459873,0.0000853933,0.0000051082884,0.000014622874,0.000043312288],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99742275,0.000013125082,0.00047324316,0.0007774807,0.00065108377,0.0006623155],"domain_scores_gemma":[0.9988669,0.00005680294,0.00016112396,0.00033294727,0.0003052966,0.00027692373],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003103115,0.0002887683,0.00034167164,0.00009538263,0.000298355,0.00052911387,0.0013700104,0.00016912115,0.0000118530525],"category_scores_gemma":[0.00025415787,0.00028017262,0.00014149045,0.0011511035,0.00016597887,0.00093176746,0.0005462924,0.00023831552,0.00013904895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015162047,0.00035886894,0.06413737,0.000105088984,0.00010378838,0.000044600165,0.0008171484,0.0017642931,0.00036422798,0.91047466,0.004335819,0.017478997],"study_design_scores_gemma":[0.0064645987,0.00094498607,0.10109697,0.0013147582,0.0001408313,0.0014087289,0.0011094199,0.08369047,0.008070059,0.7742142,0.01780465,0.0037403447],"about_ca_topic_score_codex":0.00008485867,"about_ca_topic_score_gemma":0.000009675036,"teacher_disagreement_score":0.44304258,"about_ca_system_score_codex":0.00050314685,"about_ca_system_score_gemma":0.00023209538,"threshold_uncertainty_score":0.9999651},"labels":[],"label_agreement":null},{"id":"W2612834581","doi":"10.1016/s1474-6670(17)31882-7","title":"MPC Design for Constrained Multivariable Systems Under Actuator Backlash","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backlash; Multivariable calculus; Control theory (sociology); Actuator; Model predictive control; Control engineering; Engineering; Computer science; Control (management); Artificial intelligence","score_opus":0.013999738256775971,"score_gpt":0.215974840352883,"score_spread":0.20197510209610703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612834581","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":[0.007861524,0.00036934394,0.98663193,0.00006475515,0.0006000977,0.0016365628,0.0000241577,0.0010426152,0.0017690335],"genre_scores_gemma":[0.8806396,0.000014913017,0.11797524,0.00002671327,0.00024630662,0.0005032641,0.000009613897,0.00010004614,0.00048428724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986717,0.0000043904356,0.00037883577,0.0003004259,0.00017749229,0.00046717314],"domain_scores_gemma":[0.9993275,0.00008171573,0.00010076468,0.00010642989,0.00026045088,0.00012312896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021160659,0.00027604296,0.0003488535,0.00010365575,0.00012303393,0.00016268453,0.00017552979,0.00017817502,0.000009477918],"category_scores_gemma":[0.0001530328,0.0002867968,0.000067483015,0.00020150628,0.000043779597,0.00057304476,0.000016210613,0.00011321751,0.00003869303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029084744,0.000019491621,0.000040687213,0.00029204937,0.00010640215,6.338857e-7,0.00030593862,0.94809705,0.03795532,0.011792577,0.0009040344,0.00045672746],"study_design_scores_gemma":[0.0041084653,0.00013361285,0.000043668722,0.0003036201,0.00007115837,0.000032646956,0.001087799,0.9752971,0.0107006105,0.0038460498,0.003672337,0.0007029262],"about_ca_topic_score_codex":0.000019466563,"about_ca_topic_score_gemma":0.0000011525088,"teacher_disagreement_score":0.8727781,"about_ca_system_score_codex":0.00032946424,"about_ca_system_score_gemma":0.000055967666,"threshold_uncertainty_score":0.9999584},"labels":[],"label_agreement":null},{"id":"W2612947618","doi":"10.1016/s1474-6670(17)32201-2","title":"Dynamical Analysis for Task Configuration of Redundant Flexible Space Manipulator on Space Platform","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"University of British Columbia","funders":"","keywords":"Jacobian matrix and determinant; Payload (computing); Robotic spacecraft; Task (project management); Control theory (sociology); Manipulator (device); Vibration; Robot manipulator; Computer science; Control engineering; Dynamical systems theory; Robot; Configuration space; Topology (electrical circuits); Engineering; Mathematics; Artificial intelligence; Physics","score_opus":0.011663403955091162,"score_gpt":0.22235005136106278,"score_spread":0.21068664740597162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612947618","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":[0.91087186,0.00039217772,0.08096999,0.00042570275,0.0003044688,0.000886578,0.000052137515,0.00047315212,0.0056239488],"genre_scores_gemma":[0.99751544,0.000024943916,0.0014379922,0.000015856303,0.0001283225,0.00007194999,0.000020589117,0.00004446574,0.000740426],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877083,0.0000015367143,0.0003505024,0.0002773748,0.0002605198,0.0003392232],"domain_scores_gemma":[0.9994468,0.000024813215,0.00012235418,0.00013599146,0.00016907924,0.000100949626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015483162,0.00023598447,0.00046025476,0.0002811512,0.00007048051,0.000080033635,0.00013832432,0.00015277822,0.000018557905],"category_scores_gemma":[0.000043384596,0.00022453118,0.00023430063,0.00048642623,0.000049863895,0.0002311686,0.000011370799,0.000118642994,0.000021754659],"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":[0.00051724276,0.00024419482,0.011576322,0.0016186717,0.0035458887,0.0000052545383,0.004686919,0.19310816,0.42767528,0.348487,0.0016553281,0.0068797567],"study_design_scores_gemma":[0.005896037,0.0012744758,0.020056052,0.0005809303,0.0016290346,0.00002110109,0.004694676,0.5079855,0.42856166,0.007282265,0.020164143,0.0018541756],"about_ca_topic_score_codex":0.00011202858,"about_ca_topic_score_gemma":0.000036672212,"teacher_disagreement_score":0.3412047,"about_ca_system_score_codex":0.00018810842,"about_ca_system_score_gemma":0.000025738964,"threshold_uncertainty_score":0.91561157},"labels":[],"label_agreement":null},{"id":"W2612970077","doi":"10.1016/s1474-6670(17)31113-8","title":"Actuators for RF MEMS Devices","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microelectromechanical systems; Variable capacitor; Capacitor; Inductor; Actuator; Electrical engineering; Electronic engineering; Engineering; Materials science; Optoelectronics; Voltage","score_opus":0.00996036259175967,"score_gpt":0.22740815794833807,"score_spread":0.2174477953565784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612970077","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":[0.9881059,0.00059330097,0.0061181877,0.00021385371,0.0002627634,0.00029289827,0.000011466595,0.0021962004,0.0022054624],"genre_scores_gemma":[0.9802953,0.00015247635,0.019054996,0.000040942807,0.00011182322,0.00013079746,0.00000226772,0.00004739045,0.0001640293],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992368,5.8359003e-8,0.00015065414,0.00018723431,0.00009594158,0.0003293145],"domain_scores_gemma":[0.999767,0.000013668885,0.00003333591,0.00007267702,0.00006286983,0.000050428727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004879361,0.00017152357,0.00017209114,0.00008901866,0.00008823775,0.000049809358,0.00019258734,0.00012495059,0.000006574072],"category_scores_gemma":[0.00006994336,0.00016077427,0.00006121381,0.00016329487,0.000049521546,0.00036571248,0.000030705673,0.00011494724,0.00001751233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003568948,0.00008439765,0.0019719563,0.0010979524,0.0002216541,0.0000048647744,0.001813449,0.0016382291,0.67720985,0.024980929,0.010652839,0.2802882],"study_design_scores_gemma":[0.0008098646,0.00014268474,0.0009063585,0.000119317796,0.000029839093,0.000011814378,0.0013378344,0.0003403584,0.7856165,0.046884593,0.16322833,0.000572459],"about_ca_topic_score_codex":0.0000073673036,"about_ca_topic_score_gemma":0.000011651116,"teacher_disagreement_score":0.27971572,"about_ca_system_score_codex":0.00007713913,"about_ca_system_score_gemma":0.000010237814,"threshold_uncertainty_score":0.6556184},"labels":[],"label_agreement":null},{"id":"W2613052819","doi":"10.1016/s1474-6670(17)31112-6","title":"Design and Analysis of an SMA Tuning Rod for Microwave Resonator Thermal Compensation","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SMA*; Resonator; Compensation (psychology); Materials science; Shape-memory alloy; Microwave; Finite element method; Spring (device); Thermal; Mechanical engineering; Acoustics; Electronic engineering; Engineering; Structural engineering; Optoelectronics; Composite material; Physics; Computer science; Thermodynamics; Telecommunications","score_opus":0.014030310866287926,"score_gpt":0.21628772349358108,"score_spread":0.20225741262729316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613052819","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":[0.80153537,0.00033191615,0.1976057,0.000019506935,0.000043370048,0.00018148468,0.000010692508,0.00017243078,0.0000995249],"genre_scores_gemma":[0.9087614,0.000017672202,0.09107197,0.000009376551,0.000042058877,0.000018748928,0.000018882392,0.000035784036,0.000024143668],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924153,0.0000032157304,0.00024023386,0.00019954027,0.00009678906,0.00021869142],"domain_scores_gemma":[0.999652,0.000034561523,0.000051319057,0.00007693512,0.00011392448,0.000071226226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024488804,0.0001626743,0.00027882736,0.00027735467,0.000058322614,0.000054130873,0.000100734345,0.000085701075,0.0000037915713],"category_scores_gemma":[0.000036245157,0.00017173728,0.00006809951,0.00032864435,0.00003584037,0.00021312968,0.000015407879,0.00007720275,9.378921e-7],"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":[0.00002356387,0.000021779242,0.0008293951,0.0001911508,0.00046528186,7.15026e-7,0.002359795,0.15047538,0.83794314,0.0010158867,0.000062750005,0.0066111726],"study_design_scores_gemma":[0.00052717596,0.00010616665,0.0064939363,0.00005520823,0.0003363645,0.0000050045205,0.00023339038,0.73888934,0.2525215,0.00034596852,0.0002181306,0.00026783094],"about_ca_topic_score_codex":0.000014183614,"about_ca_topic_score_gemma":0.0000027098629,"teacher_disagreement_score":0.58841395,"about_ca_system_score_codex":0.000049622817,"about_ca_system_score_gemma":0.000011957663,"threshold_uncertainty_score":0.7003243},"labels":[],"label_agreement":null},{"id":"W2613154345","doi":"10.1016/s1474-6670(17)31184-9","title":"Design and Optimization of a Closed-Chain Mechanism for Constrained Position and Force Control","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Mechanisms and Dynamics","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":"Western University","funders":"","keywords":"Linkage (software); Workspace; Kinematics; Control theory (sociology); Mechanism (biology); Kinematic chain; Position (finance); Torque; Link (geometry); USable; Stiffness; Parallel manipulator; Planar; Chain (unit); Engineering; Robot end effector; Computer science; Control engineering; Control (management); Robot; Structural engineering; Physics; Classical mechanics","score_opus":0.006108749555011206,"score_gpt":0.18753232673730538,"score_spread":0.18142357718229418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613154345","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":[0.018301748,0.00006676415,0.9806713,0.00010921301,0.000046944984,0.00060309644,0.000011192384,0.000106465406,0.00008331536],"genre_scores_gemma":[0.54924893,0.00003683613,0.4506118,0.00002765086,0.0000134637085,0.00003091597,0.0000029453345,0.000016044958,0.000011394382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994632,0.000001869166,0.00017323725,0.00014310358,0.00007151338,0.00014707219],"domain_scores_gemma":[0.999721,0.000029525409,0.00005230483,0.000031994554,0.000111378155,0.000053809472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014199638,0.00011632351,0.00017450735,0.000061389095,0.00005366946,0.000038599992,0.000034914112,0.000089551766,0.0000019227523],"category_scores_gemma":[0.000041670024,0.000120862554,0.00002137021,0.000051143816,0.000032259915,0.00015604835,0.000007880253,0.000041356267,1.6134594e-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":[0.00004030882,0.000011902387,0.000008595342,0.00022767519,0.000036138495,4.5525115e-7,0.00039059416,0.6815575,0.055521987,0.26098245,0.0000080937425,0.0012142931],"study_design_scores_gemma":[0.001452708,0.00019901291,0.00000823613,0.000055203862,0.000041402644,0.000019860421,0.00012191311,0.92401564,0.007746688,0.06621813,4.863761e-7,0.00012073064],"about_ca_topic_score_codex":0.0000037062018,"about_ca_topic_score_gemma":3.6146673e-7,"teacher_disagreement_score":0.5309472,"about_ca_system_score_codex":0.00002448931,"about_ca_system_score_gemma":0.000011839631,"threshold_uncertainty_score":0.4928632},"labels":[],"label_agreement":null},{"id":"W2613185132","doi":"10.1016/s1474-6670(17)30131-3","title":"Robustness of Metallurgical Process Observers Based on Mass and Energy Conservation Constraints","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Conservation of mass; Computer science; Mathematical optimization; Reliability engineering; Mathematics; Applied mathematics; Engineering; Mechanics; Physics; Chemistry; Artificial intelligence","score_opus":0.006772875351383043,"score_gpt":0.1902636201625646,"score_spread":0.18349074481118155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613185132","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":[0.9772028,0.00011657117,0.011420424,0.00015515518,0.00023831762,0.00013842601,0.000010534271,0.00035711122,0.010360665],"genre_scores_gemma":[0.99933547,0.0000038959206,0.0002883602,0.00003715854,0.00006794444,0.000045706154,0.0000052287282,0.000021914524,0.0001943273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991572,0.000005763552,0.00026988215,0.00017994882,0.0002124213,0.0001747789],"domain_scores_gemma":[0.9996704,0.000029761937,0.000072071794,0.000050643433,0.00012471045,0.000052440788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109923414,0.0001575829,0.00023965904,0.00010392126,0.000043875585,0.000048548744,0.00007550285,0.000108586006,0.000028030428],"category_scores_gemma":[0.000025534307,0.00015360315,0.000048968086,0.00019322168,0.00010220799,0.00015015874,0.000004437403,0.00007788154,0.0000012839524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040710537,0.00033780874,0.041734934,0.0030527168,0.00031578992,0.000014551843,0.00026688355,0.8211659,0.09140129,0.018839635,0.004194337,0.018269017],"study_design_scores_gemma":[0.00088991236,0.000055502733,0.0024838864,0.00007393974,0.000020898944,0.000006633237,0.00017681606,0.98783576,0.0068198573,0.000070830174,0.0013892016,0.0001767511],"about_ca_topic_score_codex":0.00007642164,"about_ca_topic_score_gemma":0.000012997064,"teacher_disagreement_score":0.16666983,"about_ca_system_score_codex":0.00003135243,"about_ca_system_score_gemma":0.000015841899,"threshold_uncertainty_score":0.6263755},"labels":[],"label_agreement":null},{"id":"W2613226377","doi":"10.1016/s1474-6670(17)31326-5","title":"Flatness-based automotive solenoid valve control","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Hydraulic and Pneumatic 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":"Control theory (sociology); Camshaft; Solenoid; Engineering; Flatness (cosmology); Armature (electrical engineering); Control engineering; Computer science; Mechanical engineering; Magnet; Physics; Control (management)","score_opus":0.0054202224927706955,"score_gpt":0.19331868022381207,"score_spread":0.18789845773104139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613226377","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":[0.8696514,0.0010617165,0.07086274,0.00070416223,0.0013404202,0.0010308743,0.000038939026,0.0032907985,0.052018955],"genre_scores_gemma":[0.9982051,0.000007633755,0.0010037221,0.00019421244,0.00024226875,0.000086833454,0.0000041962294,0.00006373157,0.00019224879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871,0.0000042817996,0.0003309917,0.00024079076,0.00027715458,0.00043683016],"domain_scores_gemma":[0.9994819,0.000033499255,0.0000651764,0.00011381284,0.00015743171,0.000148167],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019097968,0.00026721353,0.00035592177,0.00010840389,0.00009745851,0.00009693925,0.0002194238,0.00014946873,0.00006782616],"category_scores_gemma":[0.00008044412,0.0002575049,0.00015732783,0.00021557212,0.000060659702,0.0002300236,0.000012933997,0.0001814341,0.00037825684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015305288,0.00063554314,0.05407044,0.0062212455,0.0025464993,0.00008694367,0.03454288,0.744665,0.06349048,0.0130861,0.04158198,0.038919788],"study_design_scores_gemma":[0.01366875,0.0006238575,0.0248582,0.0018806146,0.00041797172,0.00014226187,0.003310596,0.8533793,0.05941371,0.008039668,0.031033445,0.0032316023],"about_ca_topic_score_codex":0.000048161735,"about_ca_topic_score_gemma":0.0000044403473,"teacher_disagreement_score":0.12855376,"about_ca_system_score_codex":0.0001595003,"about_ca_system_score_gemma":0.0000509196,"threshold_uncertainty_score":0.9999877},"labels":[],"label_agreement":null},{"id":"W2613246690","doi":"10.1016/s1474-6670(17)38785-2","title":"Semi-Batch Trajectory Control in Reduced Dimensional Spaces","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"McMaster University","funders":"","keywords":"Trajectory; Latent variable; Control theory (sociology); Partial least squares regression; Variable (mathematics); Inversion (geology); Control variable; Mathematics; Mathematical optimization; Computer science; Control (management); Applied mathematics; Algorithm; Artificial intelligence; Statistics; Mathematical analysis","score_opus":0.0051806307379238985,"score_gpt":0.19607221529458466,"score_spread":0.19089158455666075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613246690","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":[0.9936834,0.0006430506,0.00010534335,0.00029756574,0.0005840782,0.00028482798,0.000005337247,0.00057116913,0.0038252492],"genre_scores_gemma":[0.99911535,0.000011559842,0.00011596624,0.00009992145,0.00018307092,0.00009087896,0.0000012765373,0.000039153667,0.0003428521],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889296,0.0000048302154,0.00028489495,0.00023696448,0.00023152509,0.00034881075],"domain_scores_gemma":[0.99971646,0.000018703087,0.000039919272,0.00006698475,0.000056284334,0.00010162298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015424319,0.0002036331,0.00028295923,0.00016685369,0.00005558308,0.00007858506,0.00012012343,0.000110362205,0.000031716743],"category_scores_gemma":[0.000038201277,0.0002047772,0.00007571026,0.00025705536,0.000033646513,0.00024052446,0.000009046642,0.0002313357,0.00009383741],"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":[0.00015524727,0.0001249341,0.010873457,0.00031104384,0.00017664114,0.000033720517,0.002822338,0.061678357,0.9136695,0.00083267124,0.0050215507,0.004300516],"study_design_scores_gemma":[0.03656538,0.0008572883,0.07643695,0.0016612636,0.00017851742,0.00058536197,0.007743737,0.65113246,0.15528259,0.0040183337,0.06110967,0.0044284486],"about_ca_topic_score_codex":0.00014249336,"about_ca_topic_score_gemma":0.00006374639,"teacher_disagreement_score":0.7583869,"about_ca_system_score_codex":0.00019043652,"about_ca_system_score_gemma":0.000029465375,"threshold_uncertainty_score":0.8350572},"labels":[],"label_agreement":null},{"id":"W2613249656","doi":"10.1016/s1474-6670(17)30719-x","title":"Supervisory control for the conformance of real-time discrete event systems 1 , 2","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Supervisor; Supervisory control; Event (particle physics); Relation (database); Computer science; Supervisory control theory; Control (management); Control system; Conformance testing; Control engineering; Control theory (sociology); Engineering; Operating system; Artificial intelligence; Data mining; Physics","score_opus":0.01830605340536423,"score_gpt":0.24162751626169507,"score_spread":0.22332146285633084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613249656","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":[0.11558424,0.0017864313,0.8765588,0.0010497354,0.0008653039,0.0017603687,0.00003833721,0.00035146164,0.0020053552],"genre_scores_gemma":[0.99268085,0.00007900504,0.006260993,0.00006426628,0.0001666913,0.000231016,0.0000011674277,0.000020382957,0.0004956248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811864,0.000009081387,0.0005907355,0.00037860996,0.00047151212,0.00043143786],"domain_scores_gemma":[0.9985888,0.0001650867,0.00034875658,0.0003521197,0.00046360298,0.00008161293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092683703,0.00020827338,0.00038654465,0.000099571706,0.00021333137,0.00022487805,0.0014322388,0.00008773169,0.0000019087768],"category_scores_gemma":[0.000113383285,0.00014844097,0.00014573263,0.00031661647,0.000097305696,0.00079217646,0.00015793476,0.00010181896,0.000023868894],"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":[0.00033960326,0.00030186278,0.0077032777,0.0036084154,0.0009344822,0.000007596953,0.023148073,0.101948254,0.0919892,0.74078685,0.008467314,0.020765055],"study_design_scores_gemma":[0.0018950898,0.0002411757,0.0006452735,0.00044378033,0.000044047265,0.00004456626,0.0005357582,0.98733974,0.0029861245,0.0018123927,0.0036517084,0.00036033624],"about_ca_topic_score_codex":0.00016685983,"about_ca_topic_score_gemma":0.0000015771344,"teacher_disagreement_score":0.8853915,"about_ca_system_score_codex":0.000106569845,"about_ca_system_score_gemma":0.00012373288,"threshold_uncertainty_score":0.60532475},"labels":[],"label_agreement":null},{"id":"W2613262147","doi":"10.1016/s1474-6670(17)32383-2","title":"Development of an Interface Between the IEEE 802.11b WLAN Technology and the New Mobile ad hoc Subnetwork Relay SNR) Technology","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer network; Subnetwork; Wireless ad hoc network; Computer science; Relay; Vehicular ad hoc network; Ad hoc wireless distribution service; Mobile ad hoc network; Interface (matter); IEEE 802.11s; Wireless; IEEE 802.11; Optimized Link State Routing Protocol; Wireless network; Telecommunications; Wireless mesh network; Power (physics)","score_opus":0.007921106820345683,"score_gpt":0.2337041412451412,"score_spread":0.2257830344247955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613262147","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":[0.8370222,0.0058671613,0.14857681,0.006204131,0.00028949667,0.0011384673,0.0000013230454,0.0006571898,0.00024324463],"genre_scores_gemma":[0.86754733,0.00018657216,0.13164133,0.00009825727,0.00012930235,0.00020545913,7.4878795e-7,0.000029636867,0.00016134008],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99757934,0.000018920522,0.0006197129,0.000728542,0.00040969418,0.0006438064],"domain_scores_gemma":[0.9985,0.00008864073,0.00040051993,0.0006400456,0.000248662,0.00012213441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094261573,0.00033706558,0.00049973687,0.00031237587,0.0004128888,0.00017456054,0.002754172,0.00048815078,0.0000058712226],"category_scores_gemma":[0.00008891873,0.00021821326,0.00005971371,0.0019349594,0.00091470085,0.0004532576,0.0009954183,0.00086710055,0.000017925991],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009946415,0.00013486262,0.0072047887,0.00007577671,0.0002865615,0.0000070429246,0.015783273,0.0026327758,0.0020706444,0.05003819,0.0016873213,0.9199793],"study_design_scores_gemma":[0.01791325,0.004755359,0.006656517,0.0020197474,0.00046976685,0.0010721688,0.0145435175,0.096128754,0.1817023,0.28835982,0.38165775,0.004721036],"about_ca_topic_score_codex":0.000012729689,"about_ca_topic_score_gemma":0.00004412993,"teacher_disagreement_score":0.9152583,"about_ca_system_score_codex":0.00013169437,"about_ca_system_score_gemma":0.00026514672,"threshold_uncertainty_score":0.8898478},"labels":[],"label_agreement":null},{"id":"W2613410275","doi":"10.1016/s1474-6670(17)32244-9","title":"Terminal Missile Guidance Using a Semi-Markov Target Model","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Guidance and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Acceleration; Missile; Markov chain; Probabilistic logic; Markov process; A priori and a posteriori; Mathematics; Bayesian probability; Probability density function; Control theory (sociology); Algorithm; Computer science; Engineering; Artificial intelligence; Statistics; Physics","score_opus":0.01066111869007019,"score_gpt":0.21723621527291487,"score_spread":0.20657509658284468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613410275","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":[0.959781,0.0022928885,0.022462975,0.00009538423,0.00032184197,0.00030782085,0.0000176075,0.00077295146,0.013947515],"genre_scores_gemma":[0.98089266,0.000015994916,0.017900802,0.00007503705,0.00031338047,0.00005169015,0.0000019648128,0.00006577229,0.0006826777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985626,0.0000020072423,0.0003517814,0.00029673704,0.0002624558,0.0005244715],"domain_scores_gemma":[0.999545,0.0000054454663,0.00006942184,0.00012799854,0.00011330355,0.00013884225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014085813,0.00027593912,0.00031547886,0.00009039206,0.00012239521,0.0001259766,0.00026709842,0.00013289781,0.000016602438],"category_scores_gemma":[0.000031943524,0.0002873528,0.00010189744,0.00020271949,0.000039519167,0.0005094262,0.00003513595,0.00017781675,0.00004776591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003854011,0.00007610721,0.010250092,0.0008220775,0.00013686063,0.000036087382,0.0027712467,0.5676169,0.405417,0.001059083,0.008132572,0.0036434645],"study_design_scores_gemma":[0.0006931187,0.000029813771,0.0003676823,0.00029992976,0.00002794151,0.000082022845,0.00021025223,0.981419,0.01185962,0.0018506061,0.0026920915,0.00046786488],"about_ca_topic_score_codex":0.00005673332,"about_ca_topic_score_gemma":0.0000036053564,"teacher_disagreement_score":0.41380218,"about_ca_system_score_codex":0.00020013926,"about_ca_system_score_gemma":0.00005951471,"threshold_uncertainty_score":0.99995786},"labels":[],"label_agreement":null},{"id":"W2613473164","doi":"10.1016/s1474-6670(17)31904-3","title":"Model Predictive Control for Batch Processes Using Latent Variable Methods","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Trajectory; Latent variable; Control theory (sociology); Tracking (education); Variable (mathematics); Multivariate statistics; Computer science; Process (computing); Process control; Control (management); Control engineering; Engineering; Mathematics; Artificial intelligence; Machine learning","score_opus":0.019174600217312765,"score_gpt":0.27227291842879703,"score_spread":0.25309831821148426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613473164","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":[0.0068021626,0.00063431903,0.9894305,0.000040460192,0.00020944768,0.0012016704,0.000050229773,0.0007791592,0.0008520909],"genre_scores_gemma":[0.52639747,0.000017899907,0.47295168,0.0000275809,0.00012454901,0.00032854435,0.0000044781477,0.00007194355,0.000075856944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998639,0.00000454389,0.00037851295,0.00033891285,0.00017440827,0.00046465645],"domain_scores_gemma":[0.9989943,0.000059220863,0.00011715196,0.00009355251,0.00063272676,0.00010308104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002805951,0.0002790958,0.0003913603,0.00010937585,0.00014746895,0.000099585835,0.0001759999,0.00016099395,0.0000029446092],"category_scores_gemma":[0.00034345465,0.00028925706,0.00006172479,0.00033982174,0.00003173815,0.0008666684,0.00002069217,0.00013077255,0.0000023062607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044585777,0.000018956289,0.00018098907,0.0004708804,0.000097032374,1.7417015e-7,0.00042049133,0.968759,0.027884757,0.0016236705,0.000044544708,0.00045492855],"study_design_scores_gemma":[0.0017835507,0.00006250641,0.000013063141,0.00014497532,0.000109632754,0.00000831556,0.00011294388,0.97672635,0.0057956586,0.014766659,0.00017378233,0.0003025324],"about_ca_topic_score_codex":0.000014147804,"about_ca_topic_score_gemma":0.0000015032007,"teacher_disagreement_score":0.51959527,"about_ca_system_score_codex":0.00034477675,"about_ca_system_score_gemma":0.00011642166,"threshold_uncertainty_score":0.99995595},"labels":[],"label_agreement":null},{"id":"W2613508579","doi":"10.1016/s1474-6670(17)38724-4","title":"System Identification from Multi-Rate Data","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Data set; Missing data; Identification (biology); Computer science; Expectation–maximization algorithm; Data mining; Set (abstract data type); Feature (linguistics); Maximization; Simple (philosophy); System identification; Algorithm; Mathematical optimization; Mathematics; Maximum likelihood; Artificial intelligence; Statistics; Machine learning","score_opus":0.0218717166773399,"score_gpt":0.2234791064399746,"score_spread":0.2016073897626347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613508579","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":[0.9584012,0.0013871297,0.035069183,0.00014188749,0.0015810396,0.0005682356,0.00021779606,0.0016368877,0.0009966634],"genre_scores_gemma":[0.99791384,0.00002981828,0.0011223402,0.000006663796,0.00031768734,0.00005534319,0.00017474529,0.000040590236,0.00033899065],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883485,0.000004172078,0.00040139697,0.00038343258,0.00016870121,0.00020742996],"domain_scores_gemma":[0.99930567,0.000009524423,0.000100392856,0.0003880462,0.00012554812,0.000070832255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029974384,0.00015732084,0.00018750069,0.000082399856,0.000101848265,0.00034095597,0.00048138053,0.00009202324,0.000008635916],"category_scores_gemma":[0.00005929396,0.00016681205,0.0000348829,0.00017671249,0.000018741526,0.0009027006,0.00006428594,0.00010085434,0.0005237569],"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":[0.0000181809,0.000099665886,0.0076806825,0.00094057916,0.00030093634,0.00000537768,0.0024908732,0.0025398813,0.9544614,0.004870859,0.009867328,0.01672422],"study_design_scores_gemma":[0.0023647754,0.000020172653,0.14630775,0.00057644176,0.00017945266,0.00001560956,0.0028369017,0.79863226,0.029881684,0.0005396833,0.017722325,0.00092294114],"about_ca_topic_score_codex":0.0006468764,"about_ca_topic_score_gemma":0.00009038246,"teacher_disagreement_score":0.92457974,"about_ca_system_score_codex":0.00017808742,"about_ca_system_score_gemma":0.000015092985,"threshold_uncertainty_score":0.68023986},"labels":[],"label_agreement":null},{"id":"W2613560943","doi":"10.1016/s1474-6670(17)31087-x","title":"A Fuzzy-Braitenberg Navigation Strategy for Differential Drive Mobile Robots 1 1This research was supported in part by the National Sciences and Engineering Research Council (NSERC) of Canada under grants RGPINI345 and RGPIN227612, and the Canada Foundation for Innovation under the New Opportunities Program.","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Mobile robot; Robot; Obstacle avoidance; Scheme (mathematics); Engineering; Fuzzy logic; Differential (mechanical device); Mobile robot navigation; Obstacle; Control engineering; Computer science; Robot control; Artificial intelligence; Mathematics; Aerospace engineering","score_opus":0.184867060019179,"score_gpt":0.34786944197228764,"score_spread":0.16300238195310865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613560943","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":[0.96605545,0.000373086,0.010746432,0.01930927,0.00021146717,0.0030940862,0.000045323795,0.00003496823,0.00012992152],"genre_scores_gemma":[0.99592745,0.000033052467,0.0030622047,0.00011143045,0.000071289025,0.0005768048,0.000023888071,0.000011338717,0.00018253841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969872,0.00005142163,0.0003686383,0.00038870896,0.0017346819,0.00046931044],"domain_scores_gemma":[0.996491,0.0009172318,0.00015296543,0.00008685863,0.002282982,0.000068940884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047014304,0.00014642502,0.00017634631,0.00013980447,0.0008929426,0.00053778774,0.0004180165,0.00006412432,7.3898343e-7],"category_scores_gemma":[0.00070441794,0.000093425515,0.000013088406,0.00096577295,0.00064449303,0.0005023081,0.00012739073,0.0002671453,2.9609224e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038924726,0.00023297044,0.0026535126,0.0008901938,0.00031360667,0.00000379111,0.021778334,0.055862177,0.0050837887,0.7924309,0.058985375,0.061376106],"study_design_scores_gemma":[0.0053360416,0.00095797516,0.023577692,0.00055972405,0.00003129292,0.00006360557,0.020059636,0.80720127,0.0016144973,0.13683167,0.0031785204,0.00058809004],"about_ca_topic_score_codex":0.40717694,"about_ca_topic_score_gemma":0.24408159,"teacher_disagreement_score":0.7513391,"about_ca_system_score_codex":0.0005897802,"about_ca_system_score_gemma":0.0071626343,"threshold_uncertainty_score":0.99846584},"labels":[],"label_agreement":null},{"id":"W2613623332","doi":"10.1016/s1474-6670(17)31936-5","title":"Multivariate Image Analysis for Inferential Sensing: A Framework","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Computer science; Artificial intelligence; Image (mathematics); Computer vision; Data mining; Machine learning","score_opus":0.019319143591885354,"score_gpt":0.2865702703933847,"score_spread":0.2672511268014993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613623332","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":[0.009658576,0.000025064897,0.9869293,0.0016659864,0.00011047638,0.00029967778,0.0000057786497,0.00073801825,0.0005671472],"genre_scores_gemma":[0.5325439,0.000006123999,0.46706435,0.00011214912,0.00007090617,0.000018486098,0.0000030424949,0.000009061997,0.00017195907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985846,0.00000534626,0.00028925843,0.00050752726,0.00026895833,0.00034427724],"domain_scores_gemma":[0.9988849,0.0000470762,0.00018616534,0.00022977455,0.00054938544,0.0001026818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024389967,0.00018589044,0.00026908246,0.0002877794,0.00021794399,0.0005911781,0.0005748427,0.00013653228,0.000011534984],"category_scores_gemma":[0.00034340948,0.00017276104,0.00024450873,0.0013696002,0.00007531145,0.0008087761,0.00015571059,0.00015991002,0.000036323927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009556212,0.0004905577,0.004355881,0.00023447786,0.0011745658,0.000009173267,0.0072583715,0.000022624383,0.1679172,0.68758047,0.0010651784,0.12979594],"study_design_scores_gemma":[0.0011593756,0.00029822363,0.013242151,0.00011925255,0.0004279976,0.000016123198,0.00023359481,0.12271845,0.52622795,0.32647774,0.008016264,0.0010628813],"about_ca_topic_score_codex":0.000050961393,"about_ca_topic_score_gemma":0.000001461813,"teacher_disagreement_score":0.5228853,"about_ca_system_score_codex":0.00008052408,"about_ca_system_score_gemma":0.00007075843,"threshold_uncertainty_score":0.704499},"labels":[],"label_agreement":null},{"id":"W2613706681","doi":"10.1016/s1474-6670(17)31177-1","title":"Tracking Control of a Flexible Manipulator Using Piezoelectric Transducers","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Vibration; Feedback linearization; Modal; Nonlinear system; Piezoelectricity; Engineering; Tracking (education); Input shaping; Linearization; Control engineering; Mechanism (biology); Vibration control; Computer science; Control (management); Acoustics; Materials science; Physics; Artificial intelligence","score_opus":0.011802071116137682,"score_gpt":0.20907829507615946,"score_spread":0.19727622396002178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613706681","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":[0.8448649,0.001040773,0.15191962,0.000041832223,0.00030651467,0.00031882545,0.0000073486312,0.00032527297,0.0011749113],"genre_scores_gemma":[0.9989525,0.00001422501,0.0007765278,0.000023407021,0.00012109884,0.000019259864,7.147151e-7,0.0000542732,0.000037958707],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998751,0.000002527596,0.00039638052,0.00020344682,0.000249302,0.00039734243],"domain_scores_gemma":[0.9996185,0.000012285725,0.0000802314,0.00007858762,0.000103400205,0.00010703654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016689539,0.00020146367,0.00038406768,0.00013706673,0.000053780772,0.00006110719,0.00019505568,0.00012356645,0.000016588485],"category_scores_gemma":[0.000017621043,0.0002063734,0.00014716129,0.00033022146,0.000021356082,0.0002440514,0.000007476238,0.00015530513,0.000008186636],"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":[0.0001379555,0.00018938292,0.0037504553,0.00097438844,0.00075032306,0.00001517899,0.0018072049,0.11017548,0.744329,0.06970681,0.0000573925,0.06810643],"study_design_scores_gemma":[0.0034238421,0.0002222376,0.0009857153,0.00028231117,0.00017197555,0.000049141345,0.00033282937,0.97447544,0.015576387,0.0035286455,0.00036376918,0.0005876934],"about_ca_topic_score_codex":0.000092209746,"about_ca_topic_score_gemma":0.000004005053,"teacher_disagreement_score":0.86429995,"about_ca_system_score_codex":0.00019408762,"about_ca_system_score_gemma":0.000031682554,"threshold_uncertainty_score":0.84156626},"labels":[],"label_agreement":null},{"id":"W2613732012","doi":"10.1016/s1474-6670(17)31017-0","title":"Impact of Sensor Implementation Strategies on the Efficiency of Data Reconciliation","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science","score_opus":0.027988660313802986,"score_gpt":0.2977598874107405,"score_spread":0.2697712270969375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613732012","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":[0.9972464,0.000050059778,0.00048788072,0.00004952904,0.000086930784,0.00023029667,0.000047229947,0.00008044848,0.0017212235],"genre_scores_gemma":[0.9998223,0.000012841827,0.000079061625,0.000004102305,0.000040523497,0.000010317499,0.000007701699,0.000010322011,0.000012818922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934846,0.0000039646998,0.00025574598,0.000111989066,0.00016560018,0.00011422448],"domain_scores_gemma":[0.9996379,0.000020775551,0.000102887694,0.00012912623,0.00009023301,0.000019078649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020475527,0.00008921902,0.00012635058,0.00006177207,0.000034629138,0.000035409517,0.00017491844,0.000035374233,0.000033542507],"category_scores_gemma":[0.000034388468,0.00006315143,0.000046132314,0.00017678025,0.000023888168,0.00033109586,0.000013572088,0.000061419596,0.000007785932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012610035,0.00014779596,0.016446998,0.0005716328,0.00047709674,6.310127e-7,0.008669628,0.03313927,0.88831556,0.0077255564,0.0026640047,0.04171572],"study_design_scores_gemma":[0.006454917,0.003040986,0.16174321,0.00057598966,0.0002011424,0.000037768983,0.06783588,0.34287003,0.41117898,0.0032048963,0.0016643413,0.0011918758],"about_ca_topic_score_codex":0.0003389848,"about_ca_topic_score_gemma":0.000031564658,"teacher_disagreement_score":0.4771366,"about_ca_system_score_codex":0.00007222957,"about_ca_system_score_gemma":0.000038312104,"threshold_uncertainty_score":0.25752404},"labels":[],"label_agreement":null},{"id":"W2613797664","doi":"10.1016/s1474-6670(17)31824-4","title":"Closed-Loop Subspace Identification: An Orthogonal Projection Approach","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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":"Alexander von Humboldt-Stiftung","keywords":"Singular value decomposition; Subspace topology; Mathematics; Projection (relational algebra); Kalman filter; Orthographic projection; Observability; Toeplitz matrix; Control theory (sociology); Orthogonal matrix; Matrix (chemical analysis); Algorithm; Computer science; Applied mathematics; Orthogonal basis; Artificial intelligence; Pure mathematics; Control (management); Mathematical analysis","score_opus":0.009987848689447461,"score_gpt":0.20993150866458168,"score_spread":0.19994365997513422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613797664","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":[0.98161936,0.00031561218,0.009847735,0.00010660372,0.0005522311,0.00060423353,0.0000074334303,0.0009641323,0.0059826593],"genre_scores_gemma":[0.99666154,0.000027228896,0.0010155567,0.000010575682,0.00046450883,0.00021563357,0.000043738604,0.000049195525,0.0015120181],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867755,0.000005139066,0.0003648727,0.0003750984,0.0002980964,0.00027926514],"domain_scores_gemma":[0.9993992,0.0000037799218,0.00009769662,0.00016883225,0.00022806642,0.000102451195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028979313,0.00019688967,0.00018790846,0.00016476908,0.00017099036,0.0003538339,0.0001963219,0.00013017088,0.000016470885],"category_scores_gemma":[0.000030056888,0.00021062924,0.00007041883,0.00039850446,0.00003540187,0.0010283829,0.000016035949,0.00016440575,0.000104550076],"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":[0.000096736134,0.00078613736,0.03414108,0.0017813218,0.0003547763,0.0000043218283,0.011387878,0.010417619,0.79377156,0.055265136,0.009191273,0.08280215],"study_design_scores_gemma":[0.005179386,0.00038691412,0.51579726,0.00031111846,0.00031566314,0.00028486195,0.009917327,0.35559765,0.07173305,0.0068976395,0.030390086,0.0031890625],"about_ca_topic_score_codex":0.000098709104,"about_ca_topic_score_gemma":0.00003574604,"teacher_disagreement_score":0.7220385,"about_ca_system_score_codex":0.00017136069,"about_ca_system_score_gemma":0.00003183855,"threshold_uncertainty_score":0.85892105},"labels":[],"label_agreement":null},{"id":"W2613826896","doi":"10.1016/s1474-6670(17)38747-5","title":"Application of PLS-Based Regression for Monitoring Bitumen Recovery in a Separation Cell","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Suncor Energy (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Collinearity; Partial least squares regression; Multivariate statistics; Covariance; Regression; Data mining; Linear regression; Regression analysis; Computer science; Separation (statistics); Bayesian multivariate linear regression; Artificial intelligence; Statistics; Mathematics; Machine learning","score_opus":0.007095552182692338,"score_gpt":0.24239265708748656,"score_spread":0.23529710490479422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613826896","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":[0.9790737,0.00023640227,0.018599832,0.00003365708,0.00026145932,0.00061609666,0.0000044425374,0.00020863964,0.00096575386],"genre_scores_gemma":[0.9981746,0.000010966844,0.0012567535,0.000003738912,0.000103039376,0.00035375636,0.0000036142383,0.000022057384,0.00007147436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934024,0.0000019094766,0.000256429,0.00014539671,0.00011297867,0.00014306906],"domain_scores_gemma":[0.9997513,0.00001397097,0.000079425336,0.00005805116,0.00006673877,0.000030481982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012447826,0.00010551127,0.00015657174,0.000146453,0.00003208158,0.000025719806,0.00006950304,0.00009338592,8.994834e-7],"category_scores_gemma":[0.000016640064,0.000107373024,0.00005004852,0.00020069382,0.000008290139,0.00019308363,0.000004687061,0.00006581993,0.0000057054754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001190028,0.00006186909,0.010276589,0.00082379347,0.000013291191,2.1735792e-7,0.0005919727,0.06168362,0.91080844,0.00013413666,0.00013935445,0.01534769],"study_design_scores_gemma":[0.0020598671,0.00014763445,0.002812795,0.00029323332,0.000012397803,0.0000011305891,0.00036804512,0.29945982,0.69191706,0.0005645529,0.0021392673,0.00022422198],"about_ca_topic_score_codex":0.000060801063,"about_ca_topic_score_gemma":0.000008458581,"teacher_disagreement_score":0.23777619,"about_ca_system_score_codex":0.00014930249,"about_ca_system_score_gemma":0.000016159462,"threshold_uncertainty_score":0.43785447},"labels":[],"label_agreement":null},{"id":"W2613839461","doi":"10.1016/s1474-6670(17)31200-4","title":"Maneuver regulation via transverse feedback linearization: Theory and examples","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Feedback linearization; Transverse plane; Linearization; Control engineering; Feedback control; Output feedback; Computer science; Engineering; Nonlinear system; Physics; Control (management); Structural engineering; Artificial intelligence; Quantum mechanics","score_opus":0.004262748518375858,"score_gpt":0.17659446584554866,"score_spread":0.1723317173271728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613839461","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":[0.88236356,0.00079106883,0.110646985,0.0002463333,0.0002826365,0.00036307375,0.000008302702,0.00074429024,0.0045537343],"genre_scores_gemma":[0.9967427,0.000104929975,0.00249713,0.00003292026,0.00012986209,0.000018844501,0.000009819388,0.000033270473,0.0004305013],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993347,0.0000028719028,0.00016397762,0.00018340485,0.00012401129,0.00019102536],"domain_scores_gemma":[0.9997595,0.00001874881,0.0000258638,0.000061917395,0.00006199101,0.00007198892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013422298,0.0001532234,0.00014385168,0.000074428935,0.000081701466,0.00007743044,0.00007590743,0.000098067365,0.000048012138],"category_scores_gemma":[0.000020858464,0.00015783544,0.00003861411,0.00011807936,0.00005054613,0.00036544426,0.000016150341,0.000097643606,0.000023483704],"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":[0.0004134865,0.00020036376,0.011630259,0.0014224008,0.00042444878,0.00001690893,0.011013933,0.24426682,0.22435746,0.18921117,0.0015056767,0.3155371],"study_design_scores_gemma":[0.0074205804,0.00030109522,0.14079939,0.00037762828,0.0002896119,0.0001724942,0.0012293698,0.64027256,0.011170273,0.18123487,0.014675161,0.0020569656],"about_ca_topic_score_codex":0.0000133958165,"about_ca_topic_score_gemma":0.000014464181,"teacher_disagreement_score":0.39600575,"about_ca_system_score_codex":0.00004617017,"about_ca_system_score_gemma":0.000008409747,"threshold_uncertainty_score":0.64363426},"labels":[],"label_agreement":null},{"id":"W2613854419","doi":"10.1016/s1474-6670(17)38774-8","title":"Results Analysis in a Constrained Real-Time Optimization (RTO) System","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematical optimization; Local optimum; Mathematics; Constrained optimization problem; Confidence interval; Profit (economics); Optimization problem; Computer science; Statistics; Economics","score_opus":0.004207149028519531,"score_gpt":0.19108996125774208,"score_spread":0.18688281222922254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613854419","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":[0.8916143,0.00013566152,0.008716818,0.00017924116,0.00036734104,0.0007588514,0.00005190985,0.0029374424,0.09523844],"genre_scores_gemma":[0.99795705,0.000018998842,0.001546295,0.0000068653653,0.0000751834,0.00005748764,0.000014666739,0.000027359614,0.00029610004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987651,0.0000065198774,0.00048652364,0.00026456406,0.00019882362,0.00027846513],"domain_scores_gemma":[0.9996247,0.000014154754,0.00008207578,0.000099211065,0.00009345675,0.00008634341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002551198,0.00018211546,0.0003658366,0.00047163264,0.00005320647,0.00010708311,0.00011734356,0.00013591013,0.000015908634],"category_scores_gemma":[0.000053318854,0.00019103716,0.00010819873,0.0012860701,0.000026193693,0.000226171,0.000011252751,0.00011229234,0.00006779617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100011704,0.00002027421,0.00064561615,0.00015088182,0.0002694614,0.000008703392,0.0009089512,0.99004465,0.006811495,0.00047396982,0.00014266765,0.00042333917],"study_design_scores_gemma":[0.001615483,0.000057714227,0.00086056645,0.00011026168,0.000103321785,0.0000133916255,0.0009526608,0.99519455,0.0006765061,0.000012316109,0.00016006627,0.00024314091],"about_ca_topic_score_codex":0.0003809806,"about_ca_topic_score_gemma":0.000056271376,"teacher_disagreement_score":0.10634275,"about_ca_system_score_codex":0.0003298259,"about_ca_system_score_gemma":0.000020452686,"threshold_uncertainty_score":0.779027},"labels":[],"label_agreement":null},{"id":"W2614005229","doi":"10.1016/s1474-6670(17)31321-6","title":"Adaptive receding horizon control of nonlinear systems","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","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":"Queen's University","funders":"","keywords":"Control theory (sociology); Lyapunov function; Horizon; Adaptive control; Nonlinear system; Lyapunov redesign; Stability (learning theory); Control-Lyapunov function; Control (management); State (computer science); Computer science; Mathematics; Artificial intelligence; Algorithm","score_opus":0.006467383988815756,"score_gpt":0.19407793152780084,"score_spread":0.1876105475389851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614005229","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":[0.2034505,0.0035320541,0.77630794,0.0000759191,0.0015359058,0.0015768759,0.000066742425,0.0015655302,0.011888541],"genre_scores_gemma":[0.9892891,0.00005530666,0.0101091005,0.0000053015824,0.0003175166,0.00008047904,0.0000035467547,0.00006808973,0.00007158066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873036,0.0000040605587,0.00045913926,0.00022818288,0.00025469734,0.00032354583],"domain_scores_gemma":[0.9993086,0.000026390366,0.0001627957,0.00009787611,0.00031808412,0.00008626815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015789871,0.00022573385,0.00042036595,0.0001450058,0.000056113277,0.00004613905,0.00016884947,0.00013741112,0.0000032099817],"category_scores_gemma":[0.00009538399,0.0002364028,0.000070223345,0.0002933631,0.000041307547,0.00050617714,0.00001645138,0.00015772549,0.000019157513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000683335,0.000031662206,0.00105482,0.0004081165,0.00018366877,0.0000027888643,0.00065879995,0.93290985,0.052667383,0.0083430195,0.000117286065,0.003554257],"study_design_scores_gemma":[0.00318283,0.00041671997,0.00015897604,0.000621073,0.00008134751,0.000029009312,0.0013417973,0.98094463,0.010794743,0.0005419789,0.0013351577,0.00055174495],"about_ca_topic_score_codex":0.0000433069,"about_ca_topic_score_gemma":0.0000023253433,"teacher_disagreement_score":0.7858386,"about_ca_system_score_codex":0.00021594192,"about_ca_system_score_gemma":0.000022327338,"threshold_uncertainty_score":0.96402264},"labels":[],"label_agreement":null},{"id":"W2614163619","doi":"10.1016/s1474-6670(17)36521-7","title":"Modeling and identification for failure diagnosis","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Computer science; Engineering; Biology","score_opus":0.008823079783626179,"score_gpt":0.2092343819466787,"score_spread":0.20041130216305253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614163619","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":[0.9740066,0.0009235509,0.022659313,0.0001098405,0.00033667628,0.00043381975,0.000005954741,0.00045043486,0.0010737989],"genre_scores_gemma":[0.9985272,0.00005139413,0.0006750804,0.000014144858,0.000060429073,0.00041863165,0.0000010906859,0.000023601611,0.00022840619],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994753,0.0000017700482,0.00016213642,0.00014385524,0.00007094496,0.00014600054],"domain_scores_gemma":[0.99981374,0.000011338705,0.000018061522,0.000039653794,0.0000701523,0.000047079844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013134701,0.000093077986,0.00010712812,0.000058705187,0.000083711675,0.00012292493,0.000042558644,0.000053321826,0.0000064857268],"category_scores_gemma":[0.000085026,0.00009804978,0.00003387281,0.00008310524,0.000008466322,0.0002079362,0.0000034283469,0.000050929946,0.000009434371],"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":[0.000107982145,0.00022726963,0.075975634,0.0067862305,0.0010396716,0.0000031861698,0.012163019,0.10122103,0.45629856,0.080118,0.07022771,0.19583169],"study_design_scores_gemma":[0.00032233584,0.000016451819,0.00009292018,0.000025749197,0.000018659151,0.000008967599,0.0007466294,0.96245605,0.008019155,0.0007709839,0.027358305,0.00016379986],"about_ca_topic_score_codex":0.000006865493,"about_ca_topic_score_gemma":0.0000085912425,"teacher_disagreement_score":0.861235,"about_ca_system_score_codex":0.000025261188,"about_ca_system_score_gemma":0.0000032371468,"threshold_uncertainty_score":0.3998354},"labels":[],"label_agreement":null},{"id":"W2614222648","doi":"10.1016/s1474-6670(17)40762-2","title":"Fuzzy Adaptive Kalman Filtering for INS/GPS Data Fusion and Accurate Positioning","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Inertial Sensor and Navigation","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":"Carleton University","funders":"","keywords":"Extended Kalman filter; Kalman filter; GPS/INS; Sensor fusion; Global Positioning System; Fuzzy logic; Inertial navigation system; Control theory (sociology); Fast Kalman filter; Computer science; Fuse (electrical); Invariant extended Kalman filter; Computer vision; Artificial intelligence; Engineering; Control engineering; Assisted GPS; Mathematics; Orientation (vector space); Control (management)","score_opus":0.031212712941617576,"score_gpt":0.2539441717030607,"score_spread":0.22273145876144315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614222648","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":[0.98478425,0.0003531932,0.0082516745,0.00009602933,0.0002105681,0.00033384495,0.00006189197,0.0003817461,0.0055268244],"genre_scores_gemma":[0.99313563,0.0001711846,0.0060736844,0.000033576394,0.0003114688,0.000024961355,0.00010910543,0.000036286227,0.00010408731],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992066,0.0000017562169,0.00018119367,0.00025170186,0.00010488865,0.00025386526],"domain_scores_gemma":[0.99968666,0.000022903667,0.000041590018,0.00009538515,0.000088655856,0.00006481416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011406004,0.00015067488,0.00014008496,0.00007041895,0.000191125,0.00011797049,0.00015322404,0.00007973842,0.000009018926],"category_scores_gemma":[0.000045059554,0.00015828412,0.000022416581,0.00014290758,0.000024070247,0.0008386215,0.00009259714,0.000107366184,0.000007746817],"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":[0.00050869543,0.00007728182,0.009199421,0.00081254286,0.00022924725,0.000016896991,0.005664466,0.0019813378,0.75710154,0.008792493,0.016543528,0.19907257],"study_design_scores_gemma":[0.0016706467,0.0003475696,0.014350062,0.0005127848,0.00013016348,0.00013633596,0.0010757574,0.9076436,0.04368105,0.005308537,0.024052756,0.0010907409],"about_ca_topic_score_codex":0.00003644822,"about_ca_topic_score_gemma":0.00001136933,"teacher_disagreement_score":0.90566224,"about_ca_system_score_codex":0.000038693393,"about_ca_system_score_gemma":0.0000045769816,"threshold_uncertainty_score":0.6454639},"labels":[],"label_agreement":null},{"id":"W2614236470","doi":"10.1016/s1474-6670(17)33958-7","title":"Using Biomedical Signal to Detect Natural Eye Movement and to Control Artificial Ocular Implant","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"","keywords":"Eye movement; SIGNAL (programming language); Movement control; Computer vision; Artificial intelligence; Computer science; Control signal; Signal processing; Engineering; Control system; Simulation; Computer hardware; Digital signal processing; Physical medicine and rehabilitation; Electrical engineering","score_opus":0.0196172610843274,"score_gpt":0.2524555464761013,"score_spread":0.2328382853917739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614236470","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":[0.8209325,0.00015859622,0.17353934,0.0044574835,0.00025238327,0.0002852921,0.000006019376,0.00032540725,0.000042978063],"genre_scores_gemma":[0.9493739,0.000001602756,0.049280588,0.0011422387,0.00011510236,0.000022325645,2.9407184e-7,0.000011155291,0.000052821095],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982979,0.000008609523,0.00025866888,0.000564131,0.00034614303,0.00052451174],"domain_scores_gemma":[0.99942446,0.000024373776,0.00006785388,0.00012489887,0.00011930398,0.00023908273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022670189,0.00020139398,0.00025749355,0.0002877983,0.0002078611,0.00024615455,0.000493546,0.00010008765,0.000014499622],"category_scores_gemma":[0.00009852889,0.00018128181,0.00004946421,0.0004830997,0.00008742782,0.00020009931,0.00025286636,0.00020167828,0.000050870138],"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":[0.00003773109,0.00012234802,0.0061564613,0.00003993717,0.00008538724,0.000082304534,0.0011991885,0.000022845566,0.5914317,0.007510752,0.0057032434,0.38760814],"study_design_scores_gemma":[0.0022607083,0.0027046648,0.035286784,0.00033304488,0.000106892134,0.0003684596,0.00051255454,0.7709726,0.1529222,0.011993961,0.020410255,0.002127883],"about_ca_topic_score_codex":0.000031637923,"about_ca_topic_score_gemma":0.0000032116977,"teacher_disagreement_score":0.7709498,"about_ca_system_score_codex":0.00007308086,"about_ca_system_score_gemma":0.000014267114,"threshold_uncertainty_score":0.7392458},"labels":[],"label_agreement":null},{"id":"W2614510316","doi":"10.1016/s1474-6670(17)41677-6","title":"Dynamic Calibration of Sensors for Precise Teleoperation","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Teleoperation; Acceleration; Inverse dynamics; Control theory (sociology); Compensation (psychology); Calibration; SIGNAL (programming language); Transmission (telecommunications); Sensor fusion; Control engineering; Engineering; Global Positioning System; Computer science; Robot; Simulation; Control (management); Computer vision; Artificial intelligence; Mathematics; Telecommunications","score_opus":0.00978030250528827,"score_gpt":0.22328699870268773,"score_spread":0.21350669619739945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614510316","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":[0.9749613,0.00013751442,0.02084135,0.00009485264,0.00028664278,0.00052364287,0.000011872331,0.0003293108,0.0028135027],"genre_scores_gemma":[0.9953626,0.000052162686,0.0030389128,0.000012409592,0.000083014675,0.00008181829,0.000016414913,0.00002874161,0.0013239405],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930716,0.000002344752,0.00028763356,0.00013213848,0.00012173421,0.00014899381],"domain_scores_gemma":[0.999687,0.000016938337,0.000044056305,0.00005732172,0.0001512702,0.000043417487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102708924,0.000112956324,0.0001615017,0.000090109745,0.000052595078,0.00006337423,0.00006881598,0.000081398946,0.00004394258],"category_scores_gemma":[0.00005291312,0.00011304096,0.0000470817,0.00014196997,0.00001772846,0.00034473027,0.0000058756373,0.000043996617,0.00000853106],"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":[0.0001832333,0.0001902636,0.03668247,0.0019122199,0.00027585155,0.000002297479,0.013132043,0.054095384,0.7870931,0.012718542,0.02517203,0.06854255],"study_design_scores_gemma":[0.00036390455,0.000060246308,0.0013074827,0.000040059764,0.000014816739,0.000013154338,0.0004788851,0.9738179,0.01743709,0.000094119016,0.0062091057,0.00016323375],"about_ca_topic_score_codex":0.000008763594,"about_ca_topic_score_gemma":0.00001811075,"teacher_disagreement_score":0.9197225,"about_ca_system_score_codex":0.00004110142,"about_ca_system_score_gemma":0.000011713152,"threshold_uncertainty_score":0.46096763},"labels":[],"label_agreement":null},{"id":"W2614607221","doi":"10.1016/s1474-6670(17)34523-8","title":"Interaction and Coordination of Two Static VAR Compensators in Close Electrical Proximity","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","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":"Western University","funders":"","keywords":"Static VAR compensator; Electric power system; Engineering; Stability (learning theory); Voltage; Controller (irrigation); Transmission (telecommunications); Power (physics); Control (management); Flexible AC transmission system; Control theory (sociology); Control engineering; AC power; Computer science; Electrical engineering; Power flow","score_opus":0.008274430800347073,"score_gpt":0.2362884598005931,"score_spread":0.22801402900024603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614607221","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":[0.9908916,0.00007465727,0.003653689,0.000021248228,0.0001092306,0.00026050338,0.0000020680236,0.000090180496,0.004896842],"genre_scores_gemma":[0.99812686,0.000012324749,0.0017863105,0.0000066355365,0.0000041524186,0.000017172257,0.000001605639,0.000011517436,0.000033439217],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931437,0.000016416057,0.0002796652,0.00014064736,0.00011059353,0.0001383097],"domain_scores_gemma":[0.99972904,0.000032794465,0.00005528741,0.0000430949,0.000095229065,0.00004456358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002675867,0.000097598575,0.00018090947,0.00013197791,0.000021998667,0.000027836733,0.00003988973,0.000045486333,0.000019874728],"category_scores_gemma":[0.00017332342,0.00010231177,0.000019159403,0.00029805707,0.00002543869,0.00033853384,0.0000074368354,0.0001106503,0.0000022172271],"study_design_candidate":"observational","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":[0.000057442725,0.00031951122,0.90864784,0.0011812663,0.000069774156,0.0000019611848,0.005785152,0.0025067166,0.012425261,0.060923245,0.0011070126,0.006974812],"study_design_scores_gemma":[0.00245901,0.00019302705,0.0912762,0.00016917715,0.000035055808,0.00002987927,0.0013341784,0.8768483,0.019083256,0.005386914,0.0026019483,0.00058310054],"about_ca_topic_score_codex":0.000015357055,"about_ca_topic_score_gemma":0.000012178645,"teacher_disagreement_score":0.87434155,"about_ca_system_score_codex":0.00009952636,"about_ca_system_score_gemma":0.0000132001,"threshold_uncertainty_score":0.4172153},"labels":[],"label_agreement":null},{"id":"W2614899506","doi":"10.1016/s1474-6670(17)33992-7","title":"Local Interaction Models for Haptic Rendering of Rigid Environments","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Teleoperation and Haptic 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":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Virtual machine; Virtual image; Planar; Computer vision; Simulation; Human–computer interaction; Computer graphics (images)","score_opus":0.02709725206669423,"score_gpt":0.2108168014732455,"score_spread":0.18371954940655127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614899506","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":[0.4242112,0.00072947494,0.5461724,0.0000876247,0.0008177625,0.00069219683,0.000015366202,0.0004697836,0.026804214],"genre_scores_gemma":[0.9973153,0.000047195084,0.0015594239,0.000011621241,0.00006751936,0.000055573764,0.0000019672432,0.00002817035,0.0009132566],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999337,0.0000012402622,0.00024867067,0.00013216947,0.00012239063,0.00015853428],"domain_scores_gemma":[0.99981856,0.000012361555,0.000043926855,0.000055017324,0.000024003546,0.000046137407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056383546,0.00011162557,0.00015516902,0.000069776564,0.000038963783,0.000033136635,0.00007626923,0.00006193001,0.00007929293],"category_scores_gemma":[0.000011268402,0.00011768788,0.00005125479,0.000052026426,0.00002481206,0.0003712985,0.000011475989,0.00006219543,0.000033903973],"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":[0.00008699585,0.0003776569,0.0025618277,0.0028553037,0.00069760496,0.0000029080795,0.024355028,0.35819736,0.35946867,0.02054151,0.035540752,0.19531438],"study_design_scores_gemma":[0.00026470923,0.00004077574,0.0000570128,0.000051806317,0.000013055874,0.0000078613875,0.00062750507,0.97979367,0.010407044,0.0001551992,0.008456378,0.00012501265],"about_ca_topic_score_codex":0.0000074873246,"about_ca_topic_score_gemma":0.0000018648415,"teacher_disagreement_score":0.6215963,"about_ca_system_score_codex":0.0000709315,"about_ca_system_score_gemma":0.0000014665952,"threshold_uncertainty_score":0.47991726},"labels":[],"label_agreement":null},{"id":"W2614916278","doi":"10.1016/s1474-6670(17)34528-7","title":"Fuzzy Logic Based Identifier for Power System Stabilizer Application","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","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 Calgary","funders":"","keywords":"Identifier; Stabilizer (aeronautics); Fuzzy logic; Computer science; Electric power system; Power (physics); Control engineering; Control theory (sociology); Engineering; Artificial intelligence; Control (management); Programming language; Physics","score_opus":0.00889964098070696,"score_gpt":0.2135066342574147,"score_spread":0.20460699327670773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614916278","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":[0.086678244,0.00060427963,0.78232795,0.00009813587,0.0013819968,0.0027504074,0.00007141266,0.0023284252,0.12375913],"genre_scores_gemma":[0.9922441,0.0000019380655,0.006846853,0.00003775549,0.000020134667,0.0004941059,0.00001130713,0.000047713933,0.00029606963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987672,0.000009847777,0.00037759732,0.00033329477,0.00019460551,0.00031746665],"domain_scores_gemma":[0.99930155,0.00003491522,0.000071967756,0.0001824796,0.00030381494,0.000105254585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048309218,0.00020434831,0.00024836982,0.00009163481,0.000110645604,0.0001207555,0.00015083217,0.00013630577,0.00005582264],"category_scores_gemma":[0.000136979,0.00020283592,0.00010422953,0.00025926865,0.00003205001,0.00023938809,0.000009030612,0.00008069496,0.00006205003],"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":[0.00024909954,0.00077516347,0.10727349,0.019115405,0.00053681456,0.0000039332253,0.006784837,0.053607468,0.064675085,0.6772865,0.066069394,0.00362278],"study_design_scores_gemma":[0.0037564915,0.00021761602,0.003940799,0.00026542408,0.00015833275,0.00003054423,0.006500629,0.71446437,0.033976573,0.004494581,0.22997564,0.0022189943],"about_ca_topic_score_codex":0.0000024382587,"about_ca_topic_score_gemma":0.0000019828703,"teacher_disagreement_score":0.90556586,"about_ca_system_score_codex":0.00019780023,"about_ca_system_score_gemma":0.000026096479,"threshold_uncertainty_score":0.82714087},"labels":[],"label_agreement":null},{"id":"W2615016184","doi":"10.1016/s1474-6670(17)36455-8","title":"Discrete Abstractions for Two-Dimensional Nearly Integrable Continuous Systems","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Integrable system; Computer science; Focus (optics); Class (philosophy); Hybrid system; Theoretical computer science; Control (management); Nonlinear system; Property (philosophy); Control engineering; Control system; Distributed computing; Algebra over a field; Mathematics; Pure mathematics; Engineering; Artificial intelligence; Physics","score_opus":0.021626251343698364,"score_gpt":0.28730417246767326,"score_spread":0.26567792112397487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615016184","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":[0.1127479,0.00046028921,0.85558504,0.00035561167,0.0030739296,0.0013054298,0.000018605775,0.0007202884,0.025732908],"genre_scores_gemma":[0.4952171,0.000001917574,0.50117195,0.000059192535,0.00008845847,0.00022502578,0.0000025451616,0.000018567716,0.0032152298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847543,0.00001999795,0.0003535306,0.00046005705,0.00029088216,0.0004001142],"domain_scores_gemma":[0.9988575,0.000089998146,0.00022725623,0.00022396672,0.0004820231,0.00011922993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008874877,0.00018100804,0.00022351826,0.000117142125,0.0003294197,0.000544895,0.00050496886,0.000089001944,0.000012145819],"category_scores_gemma":[0.0005066629,0.00016880724,0.00009165108,0.00028449748,0.00007168394,0.0014460755,0.000054049102,0.00018629553,0.00007937207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000174494,0.00007359244,0.0014005055,0.00009181741,0.000042302596,0.0000010286293,0.00060724455,0.0004634345,0.010450983,0.974671,0.007101155,0.005079507],"study_design_scores_gemma":[0.0022269567,0.000763307,0.0029897727,0.00026183008,0.00008038384,0.00042070606,0.0015018969,0.72261095,0.055431366,0.032827295,0.17939723,0.0014883019],"about_ca_topic_score_codex":0.00007509731,"about_ca_topic_score_gemma":0.0000013736695,"teacher_disagreement_score":0.9418437,"about_ca_system_score_codex":0.00008745142,"about_ca_system_score_gemma":0.00008185327,"threshold_uncertainty_score":0.68837595},"labels":[],"label_agreement":null},{"id":"W2615027403","doi":"10.1016/s1474-6670(17)33529-2","title":"Lateral-inhibitory-network models of tinnitus","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Tinnitus; Inhibitory postsynaptic potential; Neuroscience; Peripheral; Auditory system; Lateral inhibition; Speech recognition; Audiology; Physics; Computer science; Psychology; Medicine","score_opus":0.03517835222419737,"score_gpt":0.24966330233910677,"score_spread":0.2144849501149094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615027403","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":[0.9329034,0.00021254225,0.00021018575,0.00009567211,0.00046264718,0.00035423946,0.0000067501987,0.00022738377,0.06552718],"genre_scores_gemma":[0.99053335,0.00008970213,0.0045405645,0.00039484122,0.0002310543,0.000023116361,6.2578283e-7,0.000070739225,0.0041160183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99731386,0.000039155264,0.00056246424,0.00067362696,0.0005904414,0.00082042697],"domain_scores_gemma":[0.9989259,0.00008474056,0.0002847863,0.00025761203,0.00023757084,0.00020935168],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000444153,0.00030551382,0.00038230716,0.00013848525,0.00021811327,0.0001243838,0.00043091815,0.00018489033,0.000111351525],"category_scores_gemma":[0.00084891904,0.00031989074,0.00011753846,0.0006824766,0.00023947212,0.00040901976,0.00015014868,0.00032375116,0.00013525817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092639806,0.00036702157,0.05094534,0.00047382285,0.000035644833,0.000025810177,0.004064188,0.003845871,0.8320579,0.074170575,0.030172661,0.003748531],"study_design_scores_gemma":[0.00084641407,0.0002726613,0.0017476713,0.0002103099,0.000041307365,0.0000865884,0.00017494652,0.011147109,0.90824896,0.027432034,0.04899124,0.00080073596],"about_ca_topic_score_codex":0.000022632528,"about_ca_topic_score_gemma":0.0000022761294,"teacher_disagreement_score":0.07619109,"about_ca_system_score_codex":0.00005811263,"about_ca_system_score_gemma":0.00011011327,"threshold_uncertainty_score":0.9999253},"labels":[],"label_agreement":null},{"id":"W2615076252","doi":"10.1016/s1474-6670(17)33341-4","title":"Model predictive control of a mechanical pulp bleaching process","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Model predictive control; Control theory (sociology); Estimator; Engineering; Smith predictor; Control engineering; Process (computing); Controller (irrigation); Pulp (tooth); Computer science; Control (management); Mathematics; Temperature control; PID controller; Artificial intelligence","score_opus":0.007060994312554593,"score_gpt":0.21312685288880634,"score_spread":0.20606585857625176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615076252","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":[0.08901032,0.0003349366,0.9024532,0.000017761562,0.00012097734,0.00058085035,0.000017150824,0.00053262926,0.0069322037],"genre_scores_gemma":[0.9907571,0.000013309994,0.008869321,0.000017235243,0.00004471803,0.00014743183,0.0000016819997,0.00006463286,0.000084536754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998714,0.0000077816385,0.00040943152,0.0002578406,0.00027509988,0.00033581103],"domain_scores_gemma":[0.99937326,0.000028506307,0.00012732949,0.000094399344,0.00028153777,0.000094995135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022523534,0.00022156979,0.0003764617,0.00010624325,0.00006295685,0.000032343716,0.00016503043,0.0001398783,0.000007648896],"category_scores_gemma":[0.0003007479,0.0002294078,0.000069747504,0.00022284022,0.00003120195,0.0005438885,0.000010067745,0.0002108897,0.00000447816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003790708,0.000030077264,0.0013406923,0.0002609386,0.00009474928,5.223075e-7,0.00081044994,0.96033484,0.026048759,0.010463313,0.00005168708,0.00052606367],"study_design_scores_gemma":[0.0009373969,0.00005561194,0.000026695983,0.00008241777,0.00004768967,0.000006979581,0.00037744272,0.98409414,0.009346226,0.004761141,0.000053289943,0.00021097159],"about_ca_topic_score_codex":0.0000027285964,"about_ca_topic_score_gemma":0.0000013013193,"teacher_disagreement_score":0.9017468,"about_ca_system_score_codex":0.00009030349,"about_ca_system_score_gemma":0.000033520704,"threshold_uncertainty_score":0.9354979},"labels":[],"label_agreement":null},{"id":"W2615108394","doi":"10.1016/s1474-6670(17)36694-6","title":"Reference Model for a Virtual Enterprise","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","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":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Enterprise modelling; Process management; Enterprise integration; Software engineering; Engineering; Knowledge management; Enterprise software","score_opus":0.026961644470815324,"score_gpt":0.25112547033381655,"score_spread":0.2241638258630012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615108394","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":[0.8563443,0.0000868,0.069526404,0.002058973,0.00066901324,0.0010428554,0.000021611042,0.00087741716,0.06937266],"genre_scores_gemma":[0.9885889,0.000018403794,0.0012200903,0.0014179139,0.0008136133,0.000231367,0.000020213818,0.00004002415,0.007649444],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987421,7.431002e-7,0.000287361,0.0003782983,0.00025358255,0.00033792964],"domain_scores_gemma":[0.9990008,0.000021427375,0.00020408965,0.0001113751,0.00064227113,0.00002005991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690664,0.00020345295,0.00019127538,0.00022557241,0.00022568628,0.00062640826,0.00032954442,0.000077889665,0.0001555283],"category_scores_gemma":[0.00030739105,0.00020458526,0.000069451686,0.0004498436,0.00004853622,0.001962861,0.00016082331,0.000096025644,0.00023075788],"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":[0.001190218,0.0005595659,0.2960675,0.00058886217,0.00012531829,0.000007760499,0.001410053,0.0023183045,0.004914964,0.23861904,0.41246417,0.04173424],"study_design_scores_gemma":[0.0008803386,0.00003053495,0.0012814258,0.00008051778,0.000051602656,0.0000030379706,0.00063945807,0.7172806,0.00007845564,0.008471941,0.27077714,0.00042493205],"about_ca_topic_score_codex":0.000039545877,"about_ca_topic_score_gemma":0.000029460123,"teacher_disagreement_score":0.7149623,"about_ca_system_score_codex":0.00004659304,"about_ca_system_score_gemma":0.00003063154,"threshold_uncertainty_score":0.8342745},"labels":[],"label_agreement":null},{"id":"W2615199095","doi":"10.1016/s1474-6670(17)33456-0","title":"Neuromorphic processing of image relevance function for path planning and navigation","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Artificial intelligence; Relevance (law); Computer vision; Computer science; Neuromorphic engineering; Image (mathematics); Image processing; Motion planning; Property (philosophy); Robot; Artificial neural network","score_opus":0.02370767771873528,"score_gpt":0.2521036673746056,"score_spread":0.22839598965587032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615199095","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":[0.23158243,0.00062873284,0.7664725,0.0001047665,0.00022181313,0.00030266072,0.0000026590703,0.00019238859,0.00049199944],"genre_scores_gemma":[0.65060824,0.000004098667,0.34918886,0.000039032875,0.00003438287,0.000030924668,0.0000021332182,0.000013865937,0.00007847547],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880916,0.000009916498,0.00026674088,0.00042115914,0.00022810293,0.00026490676],"domain_scores_gemma":[0.9991779,0.000070187736,0.00027777915,0.00010074269,0.00030758965,0.00006583032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041164763,0.00015000637,0.0001927605,0.000088992725,0.00018312626,0.00017234181,0.00021075203,0.00006689212,5.1495476e-7],"category_scores_gemma":[0.0003866773,0.00015285438,0.000031334774,0.0003175167,0.0000687023,0.00109736,0.000043924283,0.00012070422,0.0000016367284],"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":[0.00022578036,0.0004591629,0.17463301,0.0061371014,0.00014000396,0.00004988057,0.024268026,0.0017851986,0.41405508,0.070823155,0.0068243677,0.30059925],"study_design_scores_gemma":[0.0013626328,0.0008413152,0.027635885,0.001104032,0.0000573804,0.00024166018,0.0005493775,0.92105263,0.024365231,0.019689739,0.0024229607,0.00067715487],"about_ca_topic_score_codex":0.0000025754707,"about_ca_topic_score_gemma":1.5512237e-8,"teacher_disagreement_score":0.9192674,"about_ca_system_score_codex":0.000021010412,"about_ca_system_score_gemma":0.00005251275,"threshold_uncertainty_score":0.62332207},"labels":[],"label_agreement":null},{"id":"W2615224204","doi":"10.1016/s1474-6670(17)33601-7","title":"Power of Process and Sensor Fault Detection Methods for Stationary Mineral Processing Plants","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Fault detection and isolation; Covariance matrix; Fault (geology); Process (computing); Power (physics); Covariance; Engineering; Matrix (chemical analysis); Mineral processing; Algorithm; Computer science; Mathematics; Statistics; Chemistry; Electrical engineering","score_opus":0.010223225464350321,"score_gpt":0.2848222609686481,"score_spread":0.27459903550429776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615224204","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":[0.97035104,0.00067614764,0.026661646,0.000033356737,0.0002503276,0.00046043782,0.0000122142765,0.0003204406,0.0012343915],"genre_scores_gemma":[0.99364644,0.000024595789,0.005694474,0.000016828546,0.000088621324,0.00014304357,0.000002639444,0.00003714382,0.0003462048],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991377,0.0000064131955,0.0002987455,0.00020453578,0.00012691687,0.000225696],"domain_scores_gemma":[0.999554,0.000035952453,0.00009360277,0.000040045546,0.00020970093,0.000066692155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018992304,0.00016423341,0.00023821396,0.00014341212,0.00009286709,0.00005891236,0.0000631197,0.00010592064,0.00000792253],"category_scores_gemma":[0.00008031669,0.00016089866,0.000043105105,0.00017983552,0.000033191074,0.0003509381,0.000007684534,0.00008984679,0.0000014024962],"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":[0.00034315317,0.00005158994,0.004422117,0.0018498128,0.00012334672,0.0000014715022,0.0054828385,0.0009569673,0.58234835,0.000028842638,0.0004047461,0.40398678],"study_design_scores_gemma":[0.0013640865,0.00022952587,0.0028954633,0.00015594726,0.000035807985,0.0001782389,0.0056413943,0.8944246,0.0782846,0.0004326338,0.01592801,0.0004296581],"about_ca_topic_score_codex":0.000007389496,"about_ca_topic_score_gemma":0.000004113227,"teacher_disagreement_score":0.89346766,"about_ca_system_score_codex":0.000031635474,"about_ca_system_score_gemma":0.000012102489,"threshold_uncertainty_score":0.6561257},"labels":[],"label_agreement":null},{"id":"W2615235259","doi":"10.1016/s1474-6670(17)36552-7","title":"Monitoring Turbulent Nonpremixed Flames in an Industrial Boiler Using Multivariate Image Analysis (MIA)","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"McMaster University","funders":"","keywords":"Boiler (water heating); Combustion; RGB color model; NOx; Process engineering; Engineering; Environmental science; Computer science; Artificial intelligence; Waste management; Chemistry","score_opus":0.026516536712776595,"score_gpt":0.2592641090076947,"score_spread":0.2327475722949181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615235259","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":[0.9966774,0.00018298252,0.00080103235,0.0000115545945,0.0006792193,0.000282054,0.0000032663297,0.00039741586,0.0009650872],"genre_scores_gemma":[0.9980122,0.000011085238,0.0014076484,0.000005021318,0.0003308873,0.000052019215,0.0000016861587,0.000052350344,0.00012711802],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983613,0.000034276556,0.00047330093,0.00037290665,0.0002834668,0.00047477978],"domain_scores_gemma":[0.99948716,0.000019877212,0.00008924701,0.00014243064,0.00010756101,0.00015373976],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043706776,0.00028701156,0.00047345043,0.00051273237,0.00010538965,0.00027030814,0.0001677243,0.00023948438,0.000049857277],"category_scores_gemma":[0.000106252446,0.000307258,0.00014669634,0.0011019838,0.000026084768,0.0006922719,0.000017194692,0.0003597298,0.00002076002],"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":[0.00006392303,0.00012671562,0.39964145,0.00013165799,0.0008470127,0.000026196098,0.0038033389,0.04060563,0.54407793,0.00005011155,0.00013302799,0.010492995],"study_design_scores_gemma":[0.0023288326,0.000060029553,0.021605793,0.00015716154,0.00031513144,0.000018937471,0.00272391,0.9011354,0.068579815,0.00003605094,0.0022148248,0.0008241371],"about_ca_topic_score_codex":0.00035433326,"about_ca_topic_score_gemma":0.000032325624,"teacher_disagreement_score":0.8605297,"about_ca_system_score_codex":0.00026738783,"about_ca_system_score_gemma":0.00002157563,"threshold_uncertainty_score":0.99993795},"labels":[],"label_agreement":null},{"id":"W2615455024","doi":"10.1016/s1474-6670(17)41626-0","title":"A Design of Multiloop Predictive Self-Tuning PID Controllers","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"PID controller; Control theory (sociology); Model predictive control; Control engineering; Computer science; Engineering; Control (management); Artificial intelligence; Temperature control","score_opus":0.008322217469946571,"score_gpt":0.19891014894933934,"score_spread":0.19058793147939276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615455024","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":[0.05110259,0.0007576104,0.93833363,0.00003185656,0.0002466193,0.0010756889,0.000006156275,0.0014524823,0.0069933864],"genre_scores_gemma":[0.96678716,0.00014734875,0.03255093,0.000012987335,0.00010740939,0.00013202082,0.0000019544907,0.0000636092,0.000196555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882936,0.000009479243,0.00038279308,0.00022349023,0.00021802155,0.00033685038],"domain_scores_gemma":[0.9993431,0.00006920372,0.00014050267,0.00009231558,0.0002700493,0.00008484464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019195062,0.00022023261,0.0003718358,0.00015494293,0.0000658587,0.00003379141,0.00016677917,0.00011515493,0.000014008238],"category_scores_gemma":[0.0001259586,0.00023293625,0.000058037484,0.0003029368,0.00003430283,0.0005301616,0.000021865859,0.00011673826,0.000009253881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028590366,0.00005728897,0.007567045,0.0001973762,0.00037449048,0.0000049900204,0.0033105654,0.9220941,0.05984159,0.00019424238,0.0008424373,0.0052299616],"study_design_scores_gemma":[0.0015000744,0.00013661795,0.00024824165,0.000087371845,0.000051042298,0.000013655299,0.00045540562,0.9946866,0.0017872425,0.00011933965,0.0006958921,0.0002185127],"about_ca_topic_score_codex":0.0000075027833,"about_ca_topic_score_gemma":7.7766225e-7,"teacher_disagreement_score":0.9156846,"about_ca_system_score_codex":0.00013206473,"about_ca_system_score_gemma":0.00001860001,"threshold_uncertainty_score":0.94988644},"labels":[],"label_agreement":null},{"id":"W2615546480","doi":"10.1016/s1474-6670(17)33953-8","title":"Optimal Placement/Control of Distributed Actuators for a Slewing Flexible Manipulator","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Actuator; Simulated annealing; Control theory (sociology); Manipulator (device); Control engineering; Engineering; Controller (irrigation); Vibration; Computer science; Control (management); Robot; Algorithm; Artificial intelligence","score_opus":0.015812246065919005,"score_gpt":0.20766455893417585,"score_spread":0.19185231286825685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615546480","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":[0.24995427,0.0002357633,0.7475534,0.0001184527,0.00021649568,0.0005730305,0.00014913005,0.00047738833,0.00072205486],"genre_scores_gemma":[0.99524134,0.000010535081,0.0041682147,0.000034385135,0.00015919156,0.000116441806,0.000012456931,0.000038105947,0.00021932813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989619,0.0000021619198,0.0003373451,0.00018412105,0.00016977447,0.00034470027],"domain_scores_gemma":[0.99956936,0.0000635633,0.000081556864,0.00006788457,0.00012333319,0.000094286166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009437642,0.00019151022,0.0002894511,0.00008460063,0.0000991351,0.00006480325,0.00014989247,0.00010113602,0.00019067043],"category_scores_gemma":[0.000125088,0.00020116883,0.00010890084,0.00016372208,0.000033374567,0.00038635448,0.000016130201,0.000102273574,0.000022443757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012234244,0.0009998236,0.047860548,0.0051605357,0.0033141416,0.000007755724,0.010540205,0.5303359,0.16871086,0.034834396,0.15179777,0.04521462],"study_design_scores_gemma":[0.0017504083,0.0001376639,0.00032493533,0.00004636349,0.00007914598,0.000002736358,0.0002649157,0.97729737,0.014267804,0.000059020822,0.0055279895,0.00024163337],"about_ca_topic_score_codex":0.0000020307077,"about_ca_topic_score_gemma":5.7894755e-7,"teacher_disagreement_score":0.74528706,"about_ca_system_score_codex":0.00005796183,"about_ca_system_score_gemma":0.0000066776493,"threshold_uncertainty_score":0.8203427},"labels":[],"label_agreement":null},{"id":"W2615563706","doi":"10.1016/s1474-6670(17)33184-1","title":"Fault Detection and Diagnosis in the Parity Space Generated by Mass and Energy Conservation Equations","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault detection and isolation; Fault (geology); Energy flow; Conservation of mass; Energy conservation; Mass flow; Energy (signal processing); Parity (physics); Computer science; Applied mathematics; Algorithm; Control theory (sociology); Engineering; Mathematics; Physics; Mechanics; Statistics; Artificial intelligence; Geology; Electrical engineering; Particle physics","score_opus":0.008936586248455908,"score_gpt":0.19991136924263958,"score_spread":0.19097478299418366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615563706","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":[0.98943496,0.0011573716,0.007072948,0.00097020535,0.00011682765,0.00017790205,0.000004865335,0.00018420281,0.0008807017],"genre_scores_gemma":[0.99858147,0.0006427013,0.000042226904,0.00013077068,0.0000555293,0.00032400875,0.000003239348,0.0000127835,0.00020729729],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942195,0.000013857095,0.0001593196,0.00014871919,0.00010835886,0.00014776389],"domain_scores_gemma":[0.99978244,0.000054265878,0.00003381645,0.000041928077,0.000049765575,0.000037775502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016226918,0.000111522575,0.000111404035,0.00007255446,0.00011629703,0.00015619815,0.000046699857,0.00009043646,0.000005094814],"category_scores_gemma":[0.00007023952,0.0000979974,0.0000144273945,0.00028883593,0.000027914273,0.00023296679,0.0000067069923,0.000100370315,0.0000018581679],"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":[0.00007860031,0.000103776736,0.30708244,0.00023699102,0.0001476339,0.000006678192,0.0040945685,0.0011955412,0.4853583,0.0030006883,0.017387586,0.18130718],"study_design_scores_gemma":[0.0006018673,0.00005398757,0.011387921,0.000026025895,0.000020458105,0.000024628042,0.0011407108,0.89071614,0.0071987635,0.00030197029,0.088303305,0.00022420567],"about_ca_topic_score_codex":0.0009055228,"about_ca_topic_score_gemma":0.00079101603,"teacher_disagreement_score":0.88952065,"about_ca_system_score_codex":0.000037870333,"about_ca_system_score_gemma":0.0000034455338,"threshold_uncertainty_score":0.3996218},"labels":[],"label_agreement":null},{"id":"W2615769428","doi":"10.1016/s1474-6670(17)35158-3","title":"Stable Adaptive Fuzzy Control of Nonlinear Systems with Unknown Backlash-Like Hysteresis","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Piezoelectric Actuators 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":"Concordia University","funders":"","keywords":"Backlash; Control theory (sociology); Hysteresis; Nonlinear system; Fuzzy control system; Fuzzy logic; Adaptive control; Control (management); Control engineering; Mathematics; Computer science; Engineering; Physics; Artificial intelligence","score_opus":0.005595543367582853,"score_gpt":0.17369311345681604,"score_spread":0.16809757008923318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615769428","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":[0.9025196,0.0053219637,0.050060805,0.00007610756,0.00044139064,0.0012776178,0.000083836116,0.0008494417,0.039369233],"genre_scores_gemma":[0.99737996,0.000119066084,0.0006659659,0.000030529744,0.00020556431,0.00008537632,0.0000030344265,0.00007019024,0.0014403359],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842966,0.0000067965175,0.00038470837,0.0002828818,0.00034969414,0.00054626225],"domain_scores_gemma":[0.9992031,0.000050652492,0.00013689513,0.00014071244,0.0003225424,0.00014609155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001529052,0.0003127867,0.00057102175,0.00014611514,0.0000731441,0.00008466501,0.0002494245,0.00013308834,0.000027214679],"category_scores_gemma":[0.000023388566,0.0002614229,0.00008135824,0.0004513078,0.000058237536,0.0003779654,0.00001844767,0.00019410453,0.00003391217],"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":[0.0069536916,0.0018217065,0.30507842,0.005982527,0.011179942,0.00028193276,0.008426554,0.05379245,0.0760074,0.024723034,0.0747687,0.43098363],"study_design_scores_gemma":[0.003521359,0.000763519,0.00084999343,0.00032764836,0.0002581961,0.00008016943,0.0009654543,0.94804484,0.0011221109,0.000096323696,0.043158863,0.00081154966],"about_ca_topic_score_codex":0.00011152808,"about_ca_topic_score_gemma":0.000014288709,"teacher_disagreement_score":0.89425236,"about_ca_system_score_codex":0.00010154053,"about_ca_system_score_gemma":0.00004788291,"threshold_uncertainty_score":0.9999838},"labels":[],"label_agreement":null},{"id":"W2615837939","doi":"10.1016/s1474-6670(17)40727-0","title":"Robust Synthesis With Antiwindup Compensation for Electrohydraulic Servomechanism","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"COM DEV International","funders":"","keywords":"Servomechanism; Control theory (sociology); Compensation (psychology); Robust control; Control engineering; Engineering; Servo; Quadratic equation; Control system; Computer science; Control (management); Mathematics; Artificial intelligence","score_opus":0.013758383320297876,"score_gpt":0.1902499639644845,"score_spread":0.1764915806441866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615837939","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":[0.9146325,0.00017558916,0.07655052,0.0002948532,0.00018793362,0.0009379828,0.000006614554,0.001117483,0.0060965256],"genre_scores_gemma":[0.99461806,0.000012055408,0.003985689,0.00004562259,0.0002805464,0.0003038265,0.0000070493993,0.000090834,0.0006563421],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988349,0.000006963593,0.00022719556,0.00027736806,0.00020326284,0.0004502995],"domain_scores_gemma":[0.9994869,0.00006403522,0.00007852652,0.00008758819,0.00021207945,0.00007085703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001990519,0.0002475198,0.00030894412,0.0001584351,0.00015234019,0.00019013639,0.00016245776,0.00010974479,0.000027630518],"category_scores_gemma":[0.00006974717,0.00022942867,0.00005964816,0.00029749837,0.000022021452,0.00040788983,0.000011065225,0.00015467849,0.00004095412],"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":[0.0007251099,0.00021885202,0.0729891,0.002000557,0.0015326396,0.00003736925,0.00800524,0.07214267,0.7586795,0.018707566,0.014163286,0.05079808],"study_design_scores_gemma":[0.0015290636,0.0004424853,0.0086974865,0.00037926657,0.00013358338,0.00012951001,0.00062171044,0.9141253,0.03973048,0.0003577844,0.03285926,0.0009940693],"about_ca_topic_score_codex":0.000013314945,"about_ca_topic_score_gemma":0.000013859442,"teacher_disagreement_score":0.8419826,"about_ca_system_score_codex":0.00011509664,"about_ca_system_score_gemma":0.00001518061,"threshold_uncertainty_score":0.93558294},"labels":[],"label_agreement":null},{"id":"W2615892544","doi":"10.1016/s1474-6670(17)33952-6","title":"Effect of lnitial State on Output Regulation of Actuators with Preisach Hystereses","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Setpoint; Actuator; Control theory (sociology); Noise (video); Hysteresis; State (computer science); Control engineering; Work (physics); Control (management); Engineering; Computer science; Physics; Mechanical engineering; Artificial intelligence; Electrical engineering; Algorithm","score_opus":0.00470218095939325,"score_gpt":0.17914364811585098,"score_spread":0.17444146715645772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615892544","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":[0.99359065,0.00014362865,0.0017243288,0.00001749309,0.00005246031,0.00030287498,0.000008931745,0.00013816454,0.004021449],"genre_scores_gemma":[0.999501,0.000019579502,0.000094555195,0.0000076445085,0.00005322785,0.000027001819,0.0000013402354,0.00003549484,0.00026018237],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907464,0.000007567863,0.00024172339,0.00015639635,0.00028797018,0.00023168177],"domain_scores_gemma":[0.99957955,0.00007580729,0.00011198489,0.000088534594,0.000089497815,0.000054604145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011685638,0.00019092284,0.00032901356,0.00014032458,0.000028904165,0.000021431846,0.00012343166,0.00006591053,0.000034042092],"category_scores_gemma":[0.00005914423,0.00014730706,0.000059437374,0.0002169098,0.000044910325,0.00020090934,0.000010575139,0.0001128187,0.000008624104],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041901466,0.000068997666,0.016290342,0.00089968834,0.00026264144,0.0000017605921,0.0014768555,0.0009875457,0.008250853,0.00015456334,0.003321412,0.9678663],"study_design_scores_gemma":[0.0037080133,0.0065536336,0.008062869,0.0005579612,0.00023309623,0.000017354267,0.00007944548,0.61589426,0.36247882,0.00025466067,0.0014180064,0.00074187736],"about_ca_topic_score_codex":0.000012415991,"about_ca_topic_score_gemma":0.0000010106845,"teacher_disagreement_score":0.96712446,"about_ca_system_score_codex":0.000040139454,"about_ca_system_score_gemma":0.0000045741026,"threshold_uncertainty_score":0.60070074},"labels":[],"label_agreement":null},{"id":"W2615938937","doi":"10.1016/s1474-6670(17)33353-0","title":"A linear periodic controller to provide an arbitrarily large delay margin","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Margin (machine learning); Mathematics; Computer science; Control (management); Artificial intelligence","score_opus":0.00923975964949479,"score_gpt":0.21878278752324576,"score_spread":0.20954302787375098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615938937","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":[0.976534,0.00096317334,0.0036190844,0.00022407068,0.0004404106,0.0012286083,0.00003298654,0.00092591194,0.016031716],"genre_scores_gemma":[0.9958876,0.000008049422,0.0022982263,0.0004145733,0.00024862302,0.00030364946,0.0000032030262,0.00007087493,0.0007652293],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804515,0.000018882416,0.00044265235,0.00044319377,0.0003261255,0.0007240165],"domain_scores_gemma":[0.99918634,0.000036772693,0.000051633055,0.00018058185,0.00020194687,0.00034269918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005511627,0.00033580052,0.00048387074,0.00014408126,0.00016649294,0.00020760855,0.00027807217,0.00017632678,0.00012328487],"category_scores_gemma":[0.00027886534,0.0003268254,0.00013040936,0.00031339956,0.00003794172,0.00048698141,0.000021602807,0.00026745303,0.00019278278],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027655931,0.0025033166,0.3254296,0.00497292,0.0026226658,0.00016824757,0.08413663,0.015904784,0.2743882,0.14645807,0.07342568,0.06722432],"study_design_scores_gemma":[0.0046488573,0.00059683557,0.0036229806,0.00015712134,0.00009669555,0.00007227993,0.004516941,0.13723266,0.0031810077,0.0012177845,0.8432369,0.0014199346],"about_ca_topic_score_codex":0.000046787347,"about_ca_topic_score_gemma":0.000052922078,"teacher_disagreement_score":0.7698112,"about_ca_system_score_codex":0.00012831262,"about_ca_system_score_gemma":0.000054169457,"threshold_uncertainty_score":0.9999184},"labels":[],"label_agreement":null},{"id":"W2616107979","doi":"10.1016/s1474-6670(17)36703-4","title":"Reconfiguring the Control Systems in Holonic Manufacturing","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Flexible and Reconfigurable Manufacturing 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 Calgary","funders":"","keywords":"Control reconfiguration; Agile software development; Flexibility (engineering); Variety (cybernetics); Agile manufacturing; Systems engineering; Distributed computing; Engineering; Block (permutation group theory); Controller (irrigation); Function (biology); Computer science; Embedded system; Manufacturing engineering; Software engineering; Artificial intelligence","score_opus":0.009374206065647022,"score_gpt":0.19488169418802082,"score_spread":0.1855074881223738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616107979","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":[0.95431226,0.003224572,0.00010329122,0.00021980407,0.0013194085,0.0006299709,0.0000041885373,0.00071966456,0.039466813],"genre_scores_gemma":[0.99684167,0.0003690945,0.000013998269,0.00005169322,0.00043030392,0.00017625149,0.0000016827861,0.000075200354,0.0020401294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812347,0.000015575912,0.00053717184,0.00034208145,0.0002499184,0.00073179224],"domain_scores_gemma":[0.99948645,0.00007252881,0.000089971305,0.00021180902,0.00003939344,0.00009986539],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048987154,0.00033806934,0.00041978437,0.00024911517,0.00016093915,0.0003280544,0.00045169005,0.00018105887,0.000055611556],"category_scores_gemma":[0.000023146118,0.0002573065,0.000102188955,0.00021133211,0.000056142475,0.00037404423,0.00002446166,0.00048584852,0.00019657575],"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":[0.0003270816,0.00026350495,0.123032875,0.006689413,0.0014806374,0.0004787539,0.01072053,0.62064594,0.038309466,0.0038842566,0.033046164,0.16112137],"study_design_scores_gemma":[0.0056401575,0.00023093501,0.10779574,0.0024468056,0.00015362527,0.0017426418,0.0063645253,0.32846996,0.08832897,0.0010449097,0.4544909,0.003290846],"about_ca_topic_score_codex":0.0003499584,"about_ca_topic_score_gemma":0.00003928853,"teacher_disagreement_score":0.4214447,"about_ca_system_score_codex":0.00018453642,"about_ca_system_score_gemma":0.000014894892,"threshold_uncertainty_score":0.9999879},"labels":[],"label_agreement":null},{"id":"W2616424927","doi":"10.1016/s1474-6670(17)33849-1","title":"Application of dual-rate modeling to CCR octane quality inferential control","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","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":"Shell (Canada); University of Alberta","funders":"","keywords":"Dual (grammatical number); Quality (philosophy); Control (management); Computer science; Mathematics; Reliability engineering; Engineering; Artificial intelligence; Physics; Philosophy","score_opus":0.012160104395273623,"score_gpt":0.24034497330170806,"score_spread":0.22818486890643444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616424927","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":[0.7926819,0.000105802705,0.2052069,0.00013105987,0.0001792388,0.00043549322,0.000011294771,0.00022831719,0.001019999],"genre_scores_gemma":[0.99918866,0.000019659825,0.0002100399,0.000020476364,0.00021536883,0.0001305806,0.000008078877,0.000025590689,0.0001815653],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988469,0.0000071936615,0.0005188014,0.00021943863,0.00019080656,0.00021686626],"domain_scores_gemma":[0.9993523,0.000015863512,0.000096809454,0.00013069411,0.0003193813,0.000084952124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003973894,0.00014194343,0.00027865873,0.00011544628,0.000052465166,0.00007493875,0.000118112606,0.00008300749,0.000016782924],"category_scores_gemma":[0.00008200651,0.00015178414,0.0000652713,0.00023857674,0.000011797576,0.0002591089,0.000017815766,0.00008192132,0.00006670912],"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":[0.00009615761,0.00006252265,0.019557895,0.0003269899,0.00011035484,3.8827082e-7,0.0009826755,0.038804382,0.91002595,0.0040825973,0.000739912,0.025210168],"study_design_scores_gemma":[0.0006356877,0.000025829515,0.012514796,0.000037495134,0.00003246988,0.0000030999995,0.00018071741,0.98090386,0.0023428362,0.0004648282,0.0026338482,0.00022452121],"about_ca_topic_score_codex":0.00038197378,"about_ca_topic_score_gemma":0.000052508927,"teacher_disagreement_score":0.9420995,"about_ca_system_score_codex":0.000058325153,"about_ca_system_score_gemma":0.00000939573,"threshold_uncertainty_score":0.61895776},"labels":[],"label_agreement":null},{"id":"W2616538186","doi":"10.1016/s1474-6670(17)41710-1","title":"The Application of Telematics in the Canadian Landmine Detection Capability","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Geophysical Methods and Applications","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":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Telematics; Key (lock); Robotics; Focus (optics); Engineering; Embedded system; Computer science; Artificial intelligence; Real-time computing; Systems engineering; Computer security; Telecommunications; Robot","score_opus":0.009382273484972618,"score_gpt":0.23659724727079393,"score_spread":0.2272149737858213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616538186","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":[0.99294126,0.00004641391,0.0022565124,0.0005648117,0.000024844912,0.00034194253,0.000002631223,0.000039987615,0.0037816218],"genre_scores_gemma":[0.9987605,0.000018782372,0.00095569226,0.000015183798,0.00004741353,0.00017580905,9.300078e-7,0.0000066909633,0.000018958945],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995307,0.000005466454,0.00015383791,0.00007503272,0.0000928566,0.00014214072],"domain_scores_gemma":[0.9996998,0.00007301555,0.000029205314,0.00010490333,0.00006038965,0.000032702937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032317676,0.00006032213,0.00007390167,0.000028522863,0.00012796256,0.000033717934,0.00016179716,0.00003914976,0.0000015742711],"category_scores_gemma":[0.00007863192,0.00003854296,0.000023100372,0.00035138844,0.000044986922,0.000045715424,0.00000596751,0.00011181365,0.0000071269133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012444194,0.00012498119,0.09981562,0.00033045406,0.000038973954,4.5531903e-7,0.004377574,0.0006508701,0.06529687,0.033612747,0.00069676456,0.7950422],"study_design_scores_gemma":[0.0002338606,0.00005409459,0.70443887,0.000022955943,0.000030028901,0.000011872434,0.0018065494,0.15688984,0.008063177,0.0509256,0.077254325,0.0002688645],"about_ca_topic_score_codex":0.011455635,"about_ca_topic_score_gemma":0.08279479,"teacher_disagreement_score":0.7947734,"about_ca_system_score_codex":0.00005097453,"about_ca_system_score_gemma":0.000010674191,"threshold_uncertainty_score":0.99512714},"labels":[],"label_agreement":null},{"id":"W2616614818","doi":"10.1016/s1474-6670(17)35659-8","title":"A Nonsmooth, Nonconvex Optimization Approach to Robust Stabilization by Static Output Feedback and Low-Order Controllers","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Control theory (sociology); Mathematics; Mathematical optimization; Controller (irrigation); Optimization problem; Eigenvalues and eigenvectors; Minification; Robustness (evolution); Stability (learning theory); Computer science; Control (management)","score_opus":0.008037404382223829,"score_gpt":0.18017222364656155,"score_spread":0.1721348192643377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616614818","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":[0.23260656,0.0011281552,0.7355471,0.00032449182,0.00040913347,0.0024087527,0.000047168072,0.0006868461,0.026841765],"genre_scores_gemma":[0.9762805,0.000049127953,0.02250187,0.00016423973,0.000051505038,0.00025573443,0.000019216559,0.00007345664,0.00060433114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838024,0.000022095424,0.00043906944,0.00043212165,0.00029269335,0.00043374675],"domain_scores_gemma":[0.99921113,0.00006256875,0.000077550474,0.00013030719,0.00030540285,0.0002130656],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036151006,0.00031015038,0.00042694365,0.00013075961,0.00012699804,0.00023933078,0.00013589486,0.00015386201,0.000032570846],"category_scores_gemma":[0.00032704495,0.00031582123,0.000049812996,0.00045885224,0.00006681545,0.00043965105,0.00001791924,0.00012410867,0.00000989603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007144904,0.00013139338,0.005795342,0.0007375489,0.0001297242,3.555381e-7,0.00403557,0.9762889,0.0016141149,0.0007656969,0.008382184,0.002047705],"study_design_scores_gemma":[0.001853787,0.0000858586,0.00016465923,0.000062407686,0.0000442964,0.000006169944,0.0034000815,0.99009603,0.00027002205,0.000058138907,0.0034958618,0.00046270585],"about_ca_topic_score_codex":0.00002474695,"about_ca_topic_score_gemma":0.000005777834,"teacher_disagreement_score":0.743674,"about_ca_system_score_codex":0.00015152933,"about_ca_system_score_gemma":0.000044120585,"threshold_uncertainty_score":0.99992937},"labels":[],"label_agreement":null},{"id":"W2616792390","doi":"10.1016/s1474-6670(17)36622-3","title":"Fault Diagnosis and Reconfigurable Control of a Pressurizer in a Nuclear Power Plant","year":2003,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Setpoint; Control reconfiguration; Fault detection and isolation; Engineering; Fault (geology); Controller (irrigation); Pressurizer; Control engineering; Actuator; Computer science; Embedded system; Control (management)","score_opus":0.0056912276264050555,"score_gpt":0.18271093232624294,"score_spread":0.17701970469983788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616792390","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":[0.955644,0.0015139843,0.000018054257,0.00005085042,0.00019712852,0.00037003725,0.000021593309,0.00016821023,0.042016115],"genre_scores_gemma":[0.999476,0.000114230155,0.000037855993,0.000035499826,0.000013321826,0.00009269699,2.780634e-7,0.000027157323,0.00020292412],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992277,0.000008438946,0.00026779613,0.0001629754,0.0001128156,0.00022028045],"domain_scores_gemma":[0.99975437,0.000033085013,0.000048626425,0.000056391513,0.00004278547,0.000064768945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016920008,0.00013516699,0.00028691036,0.00011225871,0.00002823567,0.000046360477,0.00006559038,0.000100217316,0.000113907896],"category_scores_gemma":[0.000098754936,0.00013271063,0.000039770304,0.0001301393,0.000027980897,0.0001698106,0.0000030823658,0.0001223634,0.000013234222],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006874553,0.0006436229,0.4889544,0.003579142,0.0012814072,0.000050692746,0.021500139,0.0018784137,0.3807056,0.031062508,0.045998905,0.023657719],"study_design_scores_gemma":[0.009559815,0.00053728675,0.022678949,0.0008250086,0.00010737045,0.00016006907,0.00483575,0.12961836,0.033952706,0.00065903395,0.79574287,0.0013228129],"about_ca_topic_score_codex":0.00006389472,"about_ca_topic_score_gemma":0.000013358366,"teacher_disagreement_score":0.74974394,"about_ca_system_score_codex":0.00002471862,"about_ca_system_score_gemma":0.0000057980274,"threshold_uncertainty_score":0.5411782},"labels":[],"label_agreement":null},{"id":"W2616841810","doi":"10.1016/s1474-6670(17)34044-2","title":"Model Reference Adaptive Tension Control in a Papermaking Machine","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Vibration and Dynamic Analysis","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 Calgary","funders":"","keywords":"Setpoint; Control theory (sociology); Tension (geology); Adaptive control; PID controller; Mechatronics; Control engineering; Engineering; Reference model; Control system; Magnetic bearing; Control (management); Computer science; Temperature control; Mechanical engineering; Artificial intelligence","score_opus":0.019991203187891625,"score_gpt":0.20282678251576042,"score_spread":0.18283557932786879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616841810","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":[0.4844001,0.0021086654,0.37688777,0.0008924231,0.00016091202,0.00068955845,0.00007381241,0.0018401247,0.13294666],"genre_scores_gemma":[0.99692136,0.000093022434,0.0021378507,0.00019861959,0.000020765725,0.000021070087,0.000003568423,0.00002225968,0.0005814564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922615,0.0000029285143,0.00021593852,0.00018419416,0.00015023569,0.00022057105],"domain_scores_gemma":[0.9997567,0.00001049067,0.000035134475,0.00006026348,0.00008098581,0.000056443652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069074355,0.0001466917,0.00020455073,0.00014719815,0.000040757946,0.00004285228,0.00009917601,0.0000825451,0.00012548504],"category_scores_gemma":[0.00003228667,0.00014128424,0.000039345647,0.00030605722,0.00002064019,0.0003117098,0.000016978396,0.00018884383,0.0000475821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007299446,0.00016741932,0.046172507,0.00018086414,0.00021313563,0.000023328244,0.0070682694,0.83880496,0.050045412,0.008506104,0.00721768,0.041527335],"study_design_scores_gemma":[0.00039263716,0.000014846904,0.0007999054,0.000032934804,0.000018079807,0.000003557137,0.00013878512,0.9978948,0.00003719791,0.0002514054,0.00024733096,0.00016852429],"about_ca_topic_score_codex":0.000021762748,"about_ca_topic_score_gemma":0.000049354923,"teacher_disagreement_score":0.5125213,"about_ca_system_score_codex":0.00006754974,"about_ca_system_score_gemma":0.000004100466,"threshold_uncertainty_score":0.5761404},"labels":[],"label_agreement":null},{"id":"W2616860508","doi":"10.1016/s1474-6670(17)33591-7","title":"Fault Diagnosis-Relevant Subspace Identification of Continuous Time Systems","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","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":"","keywords":"Subspace topology; Identification (biology); Computer science; Fault (geology); System identification; Process (computing); Time domain; Fault detection and isolation; Domain (mathematical analysis); Data mining; Artificial intelligence; Machine learning; Mathematics","score_opus":0.005565832766933232,"score_gpt":0.20131309879014841,"score_spread":0.19574726602321518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616860508","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":[0.99027663,0.0019138306,0.00053009583,0.00008629566,0.0008099041,0.0005095701,0.000014872466,0.00074776023,0.005111031],"genre_scores_gemma":[0.9939878,0.00020148382,0.000021282274,0.000007477991,0.00018113566,0.00021760154,0.0000036863858,0.00004398394,0.0053355657],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866205,0.000008335021,0.00054284855,0.00022272815,0.0002851174,0.00027893894],"domain_scores_gemma":[0.9993595,0.000032472733,0.00016704953,0.00012997458,0.00022478297,0.00008625229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002619995,0.000189982,0.00035666427,0.00014587169,0.00006163738,0.00013165288,0.00018575789,0.0001311782,0.000035891033],"category_scores_gemma":[0.000093051174,0.00019221578,0.00008899272,0.00029419156,0.000037220834,0.00027556295,0.000015146614,0.000119405144,0.00033139656],"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":[0.00008865378,0.00018298245,0.07715086,0.001373997,0.0004533202,0.000013642598,0.0026184495,0.006831698,0.84602654,0.001166779,0.04208018,0.022012886],"study_design_scores_gemma":[0.0012574507,0.00015583544,0.010207131,0.0003678322,0.00010842048,0.00014043141,0.0024705282,0.810005,0.044361115,0.00007277743,0.13009116,0.0007622935],"about_ca_topic_score_codex":0.000106116684,"about_ca_topic_score_gemma":0.000005099266,"teacher_disagreement_score":0.8031733,"about_ca_system_score_codex":0.00007713804,"about_ca_system_score_gemma":0.000007921481,"threshold_uncertainty_score":0.7838332},"labels":[],"label_agreement":null},{"id":"W2616972980","doi":"10.1016/s1474-6670(17)35537-4","title":"A Bootstrap Method for Narmax Model Order Selection","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","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":"McGill University","funders":"","keywords":"Selection (genetic algorithm); Nonlinear system; Autoregressive–moving-average model; Autoregressive model; Model selection; Control theory (sociology); Mathematics; System identification; Estimation theory; Applied mathematics; Computer science; Mathematical optimization; Algorithm; Statistics; Data modeling; Artificial intelligence","score_opus":0.04716593109735723,"score_gpt":0.264128549035008,"score_spread":0.21696261793765076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616972980","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":[0.9883695,0.00017192533,0.00061824673,0.0035681364,0.0000538897,0.0005989566,0.00001830445,0.00022003564,0.0063809836],"genre_scores_gemma":[0.96510684,0.000046225854,0.01996824,0.0008866307,0.0003944885,0.00019965641,0.000010930902,0.000003157629,0.013383851],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989657,0.0000061295514,0.00017580135,0.00031720402,0.00020220134,0.00033297492],"domain_scores_gemma":[0.9995934,0.000016588257,0.000045833305,0.00001596263,0.0002473118,0.00008089794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028381002,0.000142978,0.0001456325,0.0000085670645,0.0003031133,0.00011245624,0.00015643406,0.00008950773,0.00071364373],"category_scores_gemma":[0.000033977496,0.000055057022,0.00008741913,0.00023496752,0.000021046028,0.00022481357,0.000014945875,0.00008441892,0.000032006297],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017962663,0.0001094782,0.0020323922,0.00003756122,0.000030819825,1.1053156e-7,0.0003502683,0.0002084375,0.30049512,0.000403991,0.01564443,0.6805078],"study_design_scores_gemma":[0.00077971304,0.0011394037,0.006199277,0.000055972934,0.00008182494,0.000022164282,0.0006379471,0.44159362,0.047310986,0.006422464,0.49492094,0.0008356805],"about_ca_topic_score_codex":0.00015642233,"about_ca_topic_score_gemma":0.000051046703,"teacher_disagreement_score":0.6796721,"about_ca_system_score_codex":0.000034533452,"about_ca_system_score_gemma":0.000010950453,"threshold_uncertainty_score":0.78138983},"labels":[],"label_agreement":null},{"id":"W2617462355","doi":"10.1016/s1474-6670(17)36981-1","title":"Mass and heat flow observers and data reconciliation for iron ore induration furnaces","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Observer (physics); Process (computing); Process engineering; Software; Flow (mathematics); Computer science; Engineering; Mechanics; Physics","score_opus":0.022398409206472902,"score_gpt":0.22931738598310894,"score_spread":0.20691897677663604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617462355","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":[0.99449486,0.0009657199,0.0022741256,0.0002064898,0.00007324496,0.00024639917,0.000049381128,0.0001426591,0.0015470956],"genre_scores_gemma":[0.993401,0.0013214434,0.004726798,0.000029654697,0.00009697887,0.000020094883,0.000086278524,0.000025107109,0.0002926827],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993316,0.0000018106336,0.00016462631,0.00024919296,0.00009217208,0.00016062483],"domain_scores_gemma":[0.9997656,0.000021606967,0.000020676936,0.00008129413,0.00004469643,0.0000661723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014990612,0.00013259097,0.00014623688,0.000028696477,0.000086144086,0.00013449171,0.000118176235,0.00009650943,0.000062875995],"category_scores_gemma":[0.000040568222,0.00012185298,0.0000144112555,0.00007754473,0.00002921408,0.0007752596,0.000022580698,0.000080793565,0.000003673894],"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":[0.00030811524,0.0000644128,0.007593975,0.004915337,0.00026481526,0.0000029587563,0.0030042073,0.01557233,0.028737318,0.0029874148,0.0038458912,0.9327032],"study_design_scores_gemma":[0.00032557218,0.000041356136,0.001406814,0.00003269118,0.000028647353,0.000005148678,0.0001330373,0.98914796,0.00013055789,0.0015077876,0.007076564,0.00016388748],"about_ca_topic_score_codex":0.000010617538,"about_ca_topic_score_gemma":0.000014988761,"teacher_disagreement_score":0.9735756,"about_ca_system_score_codex":0.00002436776,"about_ca_system_score_gemma":0.000006360414,"threshold_uncertainty_score":0.49690202},"labels":[],"label_agreement":null},{"id":"W2617806551","doi":"10.1016/s1474-6670(17)36918-5","title":"Robustness computation of real stability radii for linear time-invariant discrete time-delay systems","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computation; Robustness (evolution); LTI system theory; Mathematics; Linear system; Control theory (sociology); Discrete time and continuous time; Complex plane; Stability (learning theory); Invariant (physics); Applied mathematics; Mathematical analysis; Computer science; Algorithm; Mathematical physics","score_opus":0.010820442118164894,"score_gpt":0.2174085731137722,"score_spread":0.2065881309956073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617806551","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":[0.96987116,0.0005029852,0.021534989,0.00008667859,0.00028591705,0.0016397844,0.00015563352,0.00065640773,0.0052664266],"genre_scores_gemma":[0.9972631,0.000021214113,0.0016260481,0.0000046605173,0.00028543154,0.00015962336,0.000031400567,0.000056571367,0.0005519872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820673,0.000022310587,0.0007122774,0.0003616497,0.00030433285,0.00039268873],"domain_scores_gemma":[0.99913925,0.00013903416,0.00012667979,0.00016106552,0.00031899207,0.0001149713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006776866,0.00027382956,0.0006178788,0.00007314073,0.00010379031,0.000081248225,0.0002304118,0.00018352237,0.000098677825],"category_scores_gemma":[0.00007089503,0.00026532766,0.00016118518,0.0002209621,0.00009275072,0.0003644749,0.000016111679,0.000125808,0.000034623572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000831333,0.00020842967,0.0041070245,0.0056734905,0.0005558007,0.000002926856,0.0039475993,0.9308851,0.033481747,0.00068219693,0.003959438,0.015664933],"study_design_scores_gemma":[0.00082945416,0.00015130923,0.00035431466,0.00016444498,0.000060504222,0.000008269705,0.00026426214,0.99601346,0.0008963676,0.00006466984,0.0008987629,0.0002941858],"about_ca_topic_score_codex":0.0001692119,"about_ca_topic_score_gemma":0.0000040875366,"teacher_disagreement_score":0.06512837,"about_ca_system_score_codex":0.00014351794,"about_ca_system_score_gemma":0.00003942597,"threshold_uncertainty_score":0.9999799},"labels":[],"label_agreement":null},{"id":"W2617974837","doi":"10.1016/s1474-6670(17)39922-6","title":"Design of Identification Experiments for Step Response Models: Open Loop Case","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Honeywell (Canada)","funders":"","keywords":"Identification (biology); Open-loop controller; Computer science; Control engineering; System identification; Control theory (sociology); Engineering; Closed loop; Artificial intelligence; Control (management); Software engineering; Data modeling; Biology","score_opus":0.04537991749263993,"score_gpt":0.27489381944855706,"score_spread":0.22951390195591714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617974837","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":[0.8979329,0.0006513669,0.09809968,0.00004236948,0.00017834615,0.0021136107,0.000028536615,0.00018102957,0.0007721684],"genre_scores_gemma":[0.991254,0.000028829023,0.0033541631,0.0000056192684,0.00004268793,0.0006257541,0.0000060913544,0.000038932794,0.004643924],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989899,0.000013945954,0.0004440209,0.00023528129,0.00013253104,0.00018436236],"domain_scores_gemma":[0.9994656,0.000041301388,0.000094308394,0.00015438329,0.00019100052,0.000053428368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006946433,0.00013329231,0.0002111073,0.000091530106,0.00009701821,0.00022687559,0.0002688528,0.0000754793,0.00005812839],"category_scores_gemma":[0.000042128737,0.0001452848,0.00004663193,0.00014620897,0.000019785211,0.0008668078,0.000020708307,0.000042684565,0.000026322348],"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":[0.0016319886,0.00015433648,0.0000850535,0.0004256651,0.00018301052,0.000007961433,0.0055789384,0.02135957,0.84148324,0.0007344899,0.019148385,0.10920737],"study_design_scores_gemma":[0.0010260368,0.00008222009,0.00018074765,0.000070718284,0.000039794337,0.000057468525,0.0008426397,0.9386117,0.055618644,0.0005085991,0.0027156821,0.00024576954],"about_ca_topic_score_codex":0.00011516157,"about_ca_topic_score_gemma":0.0000033133315,"teacher_disagreement_score":0.9172521,"about_ca_system_score_codex":0.000074034906,"about_ca_system_score_gemma":0.000018408185,"threshold_uncertainty_score":0.5924542},"labels":[],"label_agreement":null},{"id":"W2618033961","doi":"10.1016/s1474-6670(17)34196-4","title":"Modeling of Hematopoietic Stem Cell Response to Cytokines","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","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":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Haematopoiesis; Stem cell; Stem cell factor; Cell biology; Hematopoietic stem cell; Apoptosis; In vitro; Interleukin; Biology; Immunology; Cytokine; Cancer research; Genetics","score_opus":0.021426594361658943,"score_gpt":0.2628200497734837,"score_spread":0.24139345541182478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618033961","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":[0.9875501,0.00016397896,0.0030981745,0.00087011023,0.00008184166,0.0005851848,0.000005947135,0.00015431031,0.007490397],"genre_scores_gemma":[0.9927911,0.000054768643,0.0040085996,0.00017535698,0.00006921175,0.000042923508,0.0000031554262,0.000050061335,0.002804832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823666,0.000012571956,0.0005388035,0.00036974993,0.00048634337,0.00035589104],"domain_scores_gemma":[0.9990426,0.000064585874,0.00009371241,0.0001753591,0.00038414812,0.00023962975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046579004,0.00021941506,0.00045693305,0.00028710687,0.000060502436,0.000026690337,0.00014450973,0.00012558632,0.00007709679],"category_scores_gemma":[0.0000556066,0.00020713753,0.00011121332,0.0005095144,0.00003856162,0.00013879567,0.00003345955,0.00013095424,0.00012221574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005696142,0.00040435285,0.06281934,0.0030699123,0.00007926246,0.0000981966,0.019575091,0.00060818566,0.90443313,0.00043220175,0.0007525591,0.0020316243],"study_design_scores_gemma":[0.006884985,0.0022291057,0.01161741,0.0037875054,0.0006972726,0.0021160205,0.018919379,0.092047445,0.8560175,0.00060872827,0.003776117,0.0012985881],"about_ca_topic_score_codex":0.0000280574,"about_ca_topic_score_gemma":0.000001472827,"teacher_disagreement_score":0.091439255,"about_ca_system_score_codex":0.00006346327,"about_ca_system_score_gemma":0.00008562233,"threshold_uncertainty_score":0.84468234},"labels":[],"label_agreement":null},{"id":"W2618181647","doi":"10.1016/s1474-6670(17)36969-0","title":"State of art in copper hydrometallurgic processes control","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Metallurgical Processes and Thermodynamics","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":"Université Laval","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Universidad Técnica Federico Santa María","keywords":"Automation; Instrumentation (computer programming); State (computer science); Process control; Control (management); Process (computing); Computer science; State of art; Engineering; Systems engineering; Management science; Manufacturing engineering; Operations research; Control engineering; Data science; Artificial intelligence; Mechanical engineering","score_opus":0.004402488427198625,"score_gpt":0.18577689895638624,"score_spread":0.18137441052918762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618181647","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":[0.94791746,0.0010616756,0.00036259138,0.000052192165,0.0000489371,0.00026220956,0.000016131135,0.00022965058,0.050049137],"genre_scores_gemma":[0.99697965,0.00076146296,0.00019461937,0.000038674454,0.000028823508,0.000044260443,0.000004869301,0.00005147359,0.0018961579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986334,0.000004018052,0.0004668758,0.00024775954,0.0002518849,0.00039607208],"domain_scores_gemma":[0.99959904,0.000036471694,0.000059387512,0.000090440946,0.00011455149,0.00010012672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017258969,0.00025184362,0.0004639669,0.00014534715,0.00002719911,0.000046580222,0.00024572265,0.0000830494,0.0008115018],"category_scores_gemma":[0.00004522744,0.00022584542,0.00007262963,0.0006236516,0.000081990256,0.00037967387,0.00001409614,0.00019846972,0.00019762534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012571288,0.0019811587,0.0140252225,0.023889376,0.001623005,0.00018132622,0.008343673,0.67037857,0.047037553,0.0043466073,0.005143623,0.22179277],"study_design_scores_gemma":[0.0022882645,0.00018497903,0.0036949853,0.00032583217,0.00006380914,0.000045612287,0.000094998926,0.9515884,0.002042732,0.0059606284,0.032871127,0.00083866745],"about_ca_topic_score_codex":0.000009661506,"about_ca_topic_score_gemma":0.00001094138,"teacher_disagreement_score":0.2812098,"about_ca_system_score_codex":0.000036231064,"about_ca_system_score_gemma":0.00002687129,"threshold_uncertainty_score":0.9209709},"labels":[],"label_agreement":null},{"id":"W2618376538","doi":"10.1016/s1474-6670(17)38522-1","title":"Relationships Between Statistical and Causal Model Based Approaches to Fault Detection and Isolation","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Covariance; Fault detection and isolation; Multivariate statistics; Data mining; Isolation (microbiology); Latent variable; Process (computing); Statistical hypothesis testing; Computer science; Causal model; Econometrics; Artificial intelligence; Engineering; Machine learning; Statistics; Mathematics","score_opus":0.040953628449547606,"score_gpt":0.21701963764299845,"score_spread":0.17606600919345083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618376538","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":[0.8372222,0.00007443674,0.16019681,0.00011610128,0.000032832722,0.00027156275,0.000018890369,0.0003266857,0.0017404631],"genre_scores_gemma":[0.9960673,0.000006156082,0.0035178529,0.000014911659,0.000084370746,0.00006261056,0.000004554251,0.000025317648,0.00021695106],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992887,0.000009550665,0.00019612546,0.00021309212,0.000120281045,0.00017225451],"domain_scores_gemma":[0.99972546,0.00004032754,0.000018282017,0.0000438905,0.000024308347,0.00014773851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017682048,0.00013587764,0.00015254186,0.00010094814,0.00015735532,0.00011860805,0.000033405173,0.00012518064,0.0000118107255],"category_scores_gemma":[0.000048223297,0.00014397025,0.000014765507,0.00013668227,0.000025948266,0.000228886,0.000006524343,0.0001849093,0.000019536026],"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":[0.00021258912,0.000042794793,0.07853867,0.00064645923,0.00015283347,0.00000140995,0.0051335962,0.12912373,0.01621952,0.0019437578,0.0009070401,0.7670776],"study_design_scores_gemma":[0.00029027378,0.000047692305,0.020606011,0.000016301117,0.000024144743,0.0000035144003,0.0001430803,0.97709996,0.00040086164,0.00038388307,0.00081632735,0.00016794686],"about_ca_topic_score_codex":0.00002466469,"about_ca_topic_score_gemma":0.00002415569,"teacher_disagreement_score":0.8479762,"about_ca_system_score_codex":0.00004332477,"about_ca_system_score_gemma":0.0000060439015,"threshold_uncertainty_score":0.58709365},"labels":[],"label_agreement":null},{"id":"W2618881270","doi":"10.1016/s1474-6670(17)40954-2","title":"PSS for Multi-Machine Power System Using Adaptive Adaline-Identifier and Pole-Shift Control","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","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 Calgary","funders":"","keywords":"Setpoint; Control theory (sociology); Electric power system; Identifier; Controller (irrigation); Interval (graph theory); Adaptive control; Engineering; Artificial neural network; Power (physics); Control system; Mathematics; Computer science; Control (management); Artificial intelligence","score_opus":0.01673273813018459,"score_gpt":0.23420547643718947,"score_spread":0.2174727383070049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618881270","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":[0.5611394,0.0026814116,0.42791525,0.000076581935,0.00080929993,0.0020162105,0.00044603483,0.0013388722,0.0035769255],"genre_scores_gemma":[0.9911328,0.000008523982,0.008173016,0.00003227679,0.0000335074,0.00006708423,0.000005712434,0.000057800058,0.00048931054],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987002,0.000010534292,0.0004137651,0.00034432678,0.00016700834,0.00036416337],"domain_scores_gemma":[0.9994868,0.000030369074,0.00006550271,0.000111013156,0.0001551341,0.00015116208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002825201,0.00026672828,0.00038790292,0.00008930696,0.0001632743,0.00015584788,0.00012910136,0.000138184,0.00009515678],"category_scores_gemma":[0.000040146137,0.00026186713,0.00009186208,0.00014619884,0.00005334447,0.00038393657,0.0000158401,0.00011668751,0.000014685722],"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":[0.008556973,0.0024617715,0.35192895,0.030675914,0.008999477,0.00010294421,0.10640062,0.3451382,0.0412776,0.03728913,0.023305202,0.04386323],"study_design_scores_gemma":[0.0016553666,0.00004441473,0.00300373,0.000120808174,0.00006752112,0.000020218935,0.00057046034,0.99162847,0.00026924847,0.000011961994,0.002278016,0.00032979844],"about_ca_topic_score_codex":0.00006541853,"about_ca_topic_score_gemma":0.000018082674,"teacher_disagreement_score":0.6464903,"about_ca_system_score_codex":0.00011070459,"about_ca_system_score_gemma":0.000016961743,"threshold_uncertainty_score":0.9999834},"labels":[],"label_agreement":null},{"id":"W2618987660","doi":"10.1016/s1474-6670(17)38647-0","title":"Robust Real-Time Optimisation Under Parametric Uncertainty","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Parametric statistics; Computer science; Robust control; Control theory (sociology); Mathematical optimization; Control engineering; Engineering; Mathematics; Artificial intelligence; Statistics; Control (management); Control system","score_opus":0.01013262997968793,"score_gpt":0.1986381900487144,"score_spread":0.1885055600690265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618987660","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":[0.84615445,0.0004914982,0.025896147,0.00020812884,0.000314175,0.0010690702,0.000017202772,0.0037605637,0.12208879],"genre_scores_gemma":[0.9779082,0.00033750694,0.016132465,0.000033987104,0.0002106084,0.00009004256,0.000025794947,0.00008791537,0.0051734927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873066,0.000006210077,0.00033823022,0.00029622274,0.0002495269,0.0003791307],"domain_scores_gemma":[0.99953574,0.000038355396,0.000062547806,0.00012721363,0.00013072058,0.00010540995],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013760301,0.00024082194,0.00026593966,0.00017829344,0.00010117046,0.000118062955,0.00016835325,0.00015130818,0.00056451396],"category_scores_gemma":[0.000048464106,0.00025803217,0.000063199026,0.0006628469,0.000034098524,0.00062527385,0.000011795409,0.00013684407,0.00042340113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013257609,0.000011480944,0.00024320163,0.00003731683,0.000031847478,5.379454e-7,0.00012665991,0.98218375,0.001961778,0.00022341064,0.001428921,0.0137378415],"study_design_scores_gemma":[0.0004750879,0.000034431003,0.0009785953,0.00003989848,0.000027327962,0.000010229151,0.00009745646,0.9949493,0.00032033087,0.00047148438,0.0022559676,0.00033993024],"about_ca_topic_score_codex":0.00005440918,"about_ca_topic_score_gemma":0.0000022346426,"teacher_disagreement_score":0.13175376,"about_ca_system_score_codex":0.00026584428,"about_ca_system_score_gemma":0.000014446101,"threshold_uncertainty_score":0.9999872},"labels":[],"label_agreement":null},{"id":"W2619432108","doi":"10.1016/s1474-6670(17)39438-7","title":"Feature-Based Assembly Model for Integration in Computer-Aided Assembly","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Assembly modelling; Feature (linguistics); Representation (politics); Computer-aided; Computer Aided Design; Engineering drawing; Software; Systems engineering; Engineering; Software engineering; Computer science; Manufacturing engineering; Mechanical engineering; Programming language","score_opus":0.011334997995116218,"score_gpt":0.2193819475184571,"score_spread":0.20804694952334088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619432108","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":[0.35906935,0.00008433911,0.638161,0.00025090657,0.000112014524,0.00044805286,0.000009893962,0.0005327115,0.001331733],"genre_scores_gemma":[0.9209986,0.00003259517,0.07779281,0.00010832126,0.00010940483,0.0001411362,0.00004104116,0.00005228218,0.0007238496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903834,0.0000023692778,0.00021673398,0.0002759986,0.0001534403,0.0003131234],"domain_scores_gemma":[0.99969614,0.000022055714,0.0000419003,0.00007610804,0.00010131709,0.000062467756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013770272,0.00022632105,0.00022607313,0.00016156696,0.00007042743,0.00017525641,0.00016195455,0.00016566219,0.000019079547],"category_scores_gemma":[0.000018887655,0.00023061583,0.00006578003,0.00019493708,0.000013561118,0.00056752324,0.000008383321,0.00016550899,0.000009981365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034617933,0.000030734405,0.00020381552,0.00022165405,0.000008366987,3.623588e-7,0.0003480451,0.91551596,0.0008504898,0.00019993022,0.002726938,0.07985908],"study_design_scores_gemma":[0.0005899639,0.000046810444,0.00057002937,0.0001160635,0.000011257421,0.0000011106098,0.000012093277,0.9852042,0.011989358,0.00044012934,0.0007531469,0.0002657984],"about_ca_topic_score_codex":0.000008790117,"about_ca_topic_score_gemma":0.000018107734,"teacher_disagreement_score":0.5619292,"about_ca_system_score_codex":0.00009437971,"about_ca_system_score_gemma":0.000022783348,"threshold_uncertainty_score":0.9404241},"labels":[],"label_agreement":null},{"id":"W2619744624","doi":"10.1016/s1474-6670(17)38517-8","title":"Stability of a PI-Controlled Nonlinear System","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pi; Nonlinear system; Control theory (sociology); Stability (learning theory); Mathematics; Computer science; Physics; Artificial intelligence; Control (management); Geometry","score_opus":0.007677926571231007,"score_gpt":0.1896311094111858,"score_spread":0.1819531828399548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619744624","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":[0.95355,0.00080397434,0.00009488871,0.00004396955,0.00019887413,0.00071401667,0.000027165712,0.0006635266,0.04390363],"genre_scores_gemma":[0.99882716,0.000019171905,0.0005439696,0.000010356772,0.00019390021,0.00012642832,0.000002061802,0.000034295725,0.0002426714],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832267,0.000013706205,0.0006973688,0.00027767586,0.00032530635,0.00036326653],"domain_scores_gemma":[0.9993223,0.000078950274,0.00008199102,0.0002021259,0.00020539317,0.00010924315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050884055,0.00024502503,0.0007705306,0.00006859654,0.00006217141,0.000053067066,0.0002656004,0.00014078381,0.0003158041],"category_scores_gemma":[0.00007841835,0.00022172679,0.00022659816,0.000242696,0.00008131997,0.00024628607,0.000014209739,0.00015499411,0.00007774629],"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":[0.012570525,0.0021141504,0.28056297,0.03931148,0.00503021,0.000041773466,0.041647848,0.0106645115,0.24941494,0.015419396,0.008849356,0.33437285],"study_design_scores_gemma":[0.01562835,0.00048243292,0.0068501155,0.00076085783,0.00030925358,0.000049494865,0.008092249,0.9220274,0.02131738,0.00029487128,0.02280673,0.001380833],"about_ca_topic_score_codex":0.000089334855,"about_ca_topic_score_gemma":0.000010490372,"teacher_disagreement_score":0.91136295,"about_ca_system_score_codex":0.00013580522,"about_ca_system_score_gemma":0.000028907863,"threshold_uncertainty_score":0.90417564},"labels":[],"label_agreement":null},{"id":"W2619970845","doi":"10.1016/s1474-6670(17)36962-8","title":"Process control advance in gold processing","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Metal Extraction and Bioleaching","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":"SNC-Lavalin (Canada); Barrick Gold (Canada)","funders":"","keywords":"Automation; Process (computing); Process control; Control (management); Engineering; Computer science; Manufacturing engineering; Systems engineering; Control engineering; Artificial intelligence; Mechanical engineering; Operating system","score_opus":0.005019117216168117,"score_gpt":0.22284558298813406,"score_spread":0.21782646577196593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619970845","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":[0.9198863,0.0010678484,0.00017225767,0.00011821947,0.00010343982,0.00023366678,0.0000031144123,0.0006373331,0.07777784],"genre_scores_gemma":[0.99746233,0.00011837727,0.00045780555,0.0001276371,0.00012598958,0.00005235238,0.0000016408914,0.00003761505,0.0016162541],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989135,0.0000034068053,0.00028983285,0.00024515827,0.0001868608,0.0003612266],"domain_scores_gemma":[0.9997642,0.0000096269105,0.000037770118,0.000052237483,0.000051692467,0.000084495674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016624361,0.00019623403,0.00022548984,0.000107898006,0.000053855012,0.000098012926,0.00015991819,0.0000946526,0.00024399618],"category_scores_gemma":[0.00003409293,0.00018908025,0.00004236332,0.00034779983,0.000029831355,0.0009974425,0.0000048258153,0.00031615983,0.00011834253],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008200862,0.000102041085,0.018987948,0.0008154819,0.000025036654,0.000009375165,0.0016743112,0.007000972,0.025508936,0.00020916382,0.0007538763,0.94483083],"study_design_scores_gemma":[0.0037112571,0.00013838832,0.034170486,0.0010203444,0.000053673244,0.00013352602,0.0018042306,0.7545228,0.016613126,0.0013948367,0.1845207,0.0019166397],"about_ca_topic_score_codex":0.000008309514,"about_ca_topic_score_gemma":0.000008034952,"teacher_disagreement_score":0.9429142,"about_ca_system_score_codex":0.00005628435,"about_ca_system_score_gemma":0.000014097117,"threshold_uncertainty_score":0.7710469},"labels":[],"label_agreement":null},{"id":"W2620021753","doi":"10.1016/s1474-6670(17)37947-8","title":"Direct and Fuzzy Control of a Two-Link Flexible Robot Manipulator","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Link (geometry); Trajectory; Fuzzy logic; Nonlinear system; Scheme (mathematics); Fuzzy control system; Acceleration; Robot; Control engineering; Computer science; Engineering; Mathematics; Control (management); Artificial intelligence; Physics; Mathematical analysis","score_opus":0.006298939358274897,"score_gpt":0.1983449128795036,"score_spread":0.1920459735212287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620021753","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":[0.9338691,0.002762144,0.0017590198,0.00019315642,0.00025227928,0.00049833785,0.000025570242,0.0006110162,0.06002937],"genre_scores_gemma":[0.9981504,0.00009328419,0.00038927622,0.000039635877,0.00016860776,0.000031846947,0.0000011371753,0.000037627506,0.0010881545],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990308,0.0000036153144,0.00031053554,0.00020111029,0.0001744669,0.00027944165],"domain_scores_gemma":[0.9996789,0.00002226135,0.00004593564,0.00008243104,0.000055797384,0.00011465281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001674396,0.00017811758,0.00038993484,0.00005322224,0.000041432908,0.00006442283,0.00013916258,0.000088269706,0.00007533931],"category_scores_gemma":[0.000014432195,0.00016869618,0.000075317854,0.000117542775,0.000027232427,0.00015663933,0.000013840478,0.00009395255,0.000029451725],"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":[0.00034286105,0.00017419158,0.019664427,0.0016358064,0.0010776304,0.000015810889,0.0010024969,0.021202618,0.39930424,0.059125602,0.0020149094,0.49443942],"study_design_scores_gemma":[0.0045702355,0.0002979892,0.005305367,0.00029535714,0.00016688241,0.000036734684,0.000088745415,0.96181023,0.0066869566,0.0048418543,0.015093974,0.00080569787],"about_ca_topic_score_codex":0.00006396408,"about_ca_topic_score_gemma":0.00000628666,"teacher_disagreement_score":0.9406076,"about_ca_system_score_codex":0.000031867094,"about_ca_system_score_gemma":0.000007198095,"threshold_uncertainty_score":0.6879231},"labels":[],"label_agreement":null},{"id":"W2620149390","doi":"10.1016/s1474-6670(17)36919-7","title":"Real stability radii for linear neutral delay systems","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stability (learning theory); Control theory (sociology); Mathematics; Applied mathematics; Computer science; Control (management); Artificial intelligence","score_opus":0.01968701768865748,"score_gpt":0.2395808320312714,"score_spread":0.2198938143426139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620149390","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":[0.955394,0.00016937962,0.039442897,0.0006932263,0.00047270133,0.00090205454,0.0000134692555,0.00055271253,0.0023595255],"genre_scores_gemma":[0.98739886,0.000074562966,0.011190391,0.00007312102,0.0004084079,0.00010045914,0.000008180777,0.00001773844,0.00072829507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982713,0.000020100264,0.0003877744,0.0006171897,0.00022073652,0.00048293197],"domain_scores_gemma":[0.9991605,0.00008119441,0.00009440237,0.00025041666,0.00027142672,0.00014202547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047092064,0.0001970629,0.0002581917,0.00004327682,0.0002952487,0.0003274336,0.0006394058,0.00012438111,0.000037272053],"category_scores_gemma":[0.000046939294,0.00018541014,0.00010437981,0.00038102933,0.00008304935,0.0011455809,0.00006474984,0.00014364622,0.000029265435],"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":[0.0008815715,0.0017430546,0.13481236,0.00354753,0.00028209123,0.000022754084,0.020197466,0.020351732,0.009185279,0.38743877,0.038822252,0.38271514],"study_design_scores_gemma":[0.00051549193,0.00030797085,0.0019865183,0.000037645736,0.000013690199,0.000025594632,0.0000773378,0.97699213,0.001336578,0.002440061,0.015905611,0.0003613442],"about_ca_topic_score_codex":0.00011815496,"about_ca_topic_score_gemma":0.000012979071,"teacher_disagreement_score":0.9566404,"about_ca_system_score_codex":0.000107476604,"about_ca_system_score_gemma":0.00006610803,"threshold_uncertainty_score":0.7560806},"labels":[],"label_agreement":null},{"id":"W2620760789","doi":"10.3182/20060402-4-br-2902.00699","title":"FAULT DETECTION USING PROJECTION PURSUIT REGRESSION (PPR): A CLASSIFICATION VERSUS AN ESTIMATION BASED APPROACH","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Equidistant; Fault detection and isolation; Projection (relational algebra); Fault (geology); Pattern recognition (psychology); Mathematics; Artificial intelligence; Class (philosophy); Regression; Process (computing); Value (mathematics); Computer science; Algorithm; Statistics","score_opus":0.025397888135972164,"score_gpt":0.25292487388584894,"score_spread":0.2275269857498768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620760789","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":[0.8304368,0.0000760786,0.16271983,0.000018585719,0.00091335824,0.0006462805,0.000003943254,0.0015642268,0.0036208476],"genre_scores_gemma":[0.99418336,0.0000021696112,0.0049693794,0.000006174002,0.00041474085,0.00020162677,0.000038150934,0.00006386389,0.000120534576],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984647,0.000020765232,0.0003915968,0.000398471,0.0004125752,0.00031189766],"domain_scores_gemma":[0.99942183,0.000014262812,0.00016150347,0.00014306801,0.00018140348,0.00007794837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027969238,0.00027310787,0.00021785474,0.0003268845,0.00031287083,0.00031055152,0.00013573788,0.000260279,0.0000075635985],"category_scores_gemma":[0.000047729092,0.0002738378,0.00008117898,0.0005620867,0.00003683361,0.00095920626,0.000009637819,0.00022076124,0.000017657516],"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":[0.00040984963,0.0002041635,0.0010272689,0.000444397,0.000045508987,7.663389e-7,0.00031446255,0.13538063,0.75599706,0.00032566636,0.0003277065,0.105522506],"study_design_scores_gemma":[0.0010961501,0.00013752478,0.0020652707,0.00005138967,0.000043395616,0.000015649115,0.00048938626,0.973679,0.021220114,0.0000666545,0.0008302885,0.00030515232],"about_ca_topic_score_codex":0.0003047664,"about_ca_topic_score_gemma":0.000045833807,"teacher_disagreement_score":0.8382984,"about_ca_system_score_codex":0.00044310038,"about_ca_system_score_gemma":0.000024956089,"threshold_uncertainty_score":0.9999714},"labels":[],"label_agreement":null},{"id":"W2677538387","doi":"10.3182/20140514-3-fr-4046.00080","title":"Deadlock Analysis of Generalized Parameterized Discrete Event Systems with Ring Topology","year":2014,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Parameterized complexity; Undecidable problem; Deadlock; Decidability; Computer science; Ring (chemistry); Theoretical computer science; Invariant (physics); Discrete event simulation; Ring network; Topology (electrical circuits); Network topology; Distributed computing; Mathematics; Discrete mathematics; Algorithm; Combinatorics","score_opus":0.014427583776077935,"score_gpt":0.2515295848426493,"score_spread":0.23710200106657137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2677538387","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":[0.5234888,0.00015933189,0.47504395,0.00007582614,0.00018524737,0.0001692358,0.00000251438,0.00014907615,0.0007260279],"genre_scores_gemma":[0.9427168,0.00001034387,0.05684311,0.000041660714,0.00006937272,0.00006483763,0.0000027060437,0.00001906175,0.00023210062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975122,0.00006282578,0.0006858067,0.00069457054,0.0005555042,0.0004890935],"domain_scores_gemma":[0.9983685,0.00010336279,0.0005671999,0.0004743652,0.00034931794,0.00013727842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085654296,0.00027112252,0.0009060133,0.0005886146,0.00012563156,0.0002388224,0.0011080352,0.0001165746,0.000005098827],"category_scores_gemma":[0.00012804287,0.00021830348,0.00018777225,0.0017070429,0.000097780416,0.00048128684,0.00029672266,0.00012815592,0.0000062559043],"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":[0.00040756274,0.00031646437,0.3168469,0.0015378302,0.008973648,0.000023196495,0.011900207,0.19506949,0.0560716,0.3894679,0.0006104239,0.018774768],"study_design_scores_gemma":[0.00059062283,0.00017308298,0.0019083336,0.0001020245,0.0003058978,0.000024163466,0.000121550635,0.9942498,0.0014010243,0.00029883473,0.00051825243,0.0003064117],"about_ca_topic_score_codex":0.00032934875,"about_ca_topic_score_gemma":0.000014441185,"teacher_disagreement_score":0.7991803,"about_ca_system_score_codex":0.00008389661,"about_ca_system_score_gemma":0.000040049817,"threshold_uncertainty_score":0.89021575},"labels":[],"label_agreement":null},{"id":"W2733577038","doi":"10.1016/s1474-6670(17)32073-6","title":"Assisted Guidance for a tractor-trailer with off axle hitching","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Dynamics of Mobile Robots","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":"Polytechnique Montréal","funders":"","keywords":"Trailer; Tractor; Axle; Engineering; Test bench; Point (geometry); Operator (biology); Linearization; Automotive engineering; Control engineering; Computer science; Control theory (sociology); Simulation; Control (management); Mathematics; Nonlinear system; Artificial intelligence; Mechanical engineering","score_opus":0.006414391570748301,"score_gpt":0.198941572219387,"score_spread":0.1925271806486387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733577038","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":[0.9690552,0.001189933,0.021380791,0.0003893278,0.0002604511,0.0006888334,0.000028505561,0.0010075122,0.005999473],"genre_scores_gemma":[0.9835318,0.000024769297,0.015497335,0.000055536344,0.00018477265,0.00020155316,0.000006377886,0.00007288086,0.0004249763],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988834,0.0000010133334,0.0002424113,0.0002711774,0.00018449538,0.00041745853],"domain_scores_gemma":[0.99956983,0.00002714796,0.0000602417,0.0000963,0.00013706805,0.00010940685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011344283,0.00024197972,0.00027514406,0.000082479484,0.000107951855,0.00012754522,0.00019228856,0.000104233615,0.000010518378],"category_scores_gemma":[0.000046515288,0.00021877518,0.0000942888,0.00015280973,0.00003317286,0.00041341025,0.000017456217,0.0001642216,0.000012555374],"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":[0.000694108,0.000725409,0.020191522,0.0027185532,0.0011053872,0.000039406033,0.006054366,0.19817494,0.31189978,0.015593665,0.009079956,0.43372288],"study_design_scores_gemma":[0.024664128,0.0021678044,0.39244258,0.00278549,0.00059339165,0.00040326657,0.0017964606,0.4302087,0.010455902,0.012531804,0.11648191,0.005468524],"about_ca_topic_score_codex":0.0000217343,"about_ca_topic_score_gemma":0.000104935694,"teacher_disagreement_score":0.42825437,"about_ca_system_score_codex":0.00013051763,"about_ca_system_score_gemma":0.000034190838,"threshold_uncertainty_score":0.8921393},"labels":[],"label_agreement":null},{"id":"W278090246","doi":"10.1016/s1474-6670(17)38778-5","title":"Closed Loop Properties and Block Relative Gain","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Block (permutation group theory); Loop (graph theory); Mathematics; Computer science; Control (management); Combinatorics; Artificial intelligence","score_opus":0.015578259188374003,"score_gpt":0.18882659012588865,"score_spread":0.17324833093751466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W278090246","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":[0.98823875,0.0025395162,0.000175251,0.0003938149,0.00014012239,0.0003451875,0.000003245455,0.00047706527,0.0076870504],"genre_scores_gemma":[0.99875104,0.00004532092,0.00038432263,0.00004320541,0.00011735737,0.000059523867,5.616287e-7,0.000029398783,0.0005692858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991008,0.000003566405,0.00022861114,0.0002227435,0.0001667001,0.00027760258],"domain_scores_gemma":[0.9996936,0.000017351953,0.000034526693,0.00007283592,0.00009602722,0.0000856609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014230388,0.00018718968,0.00023902934,0.0000621828,0.000095593394,0.000097178956,0.00010786929,0.00010690315,0.000006462649],"category_scores_gemma":[0.00009492591,0.0001653694,0.000047355938,0.0001348992,0.00010018311,0.00038603935,0.000026398362,0.00016634454,0.000032091404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007167914,0.00052046933,0.12928137,0.006683337,0.0019963908,0.000056128265,0.13056086,0.025047384,0.55990195,0.075069815,0.0066029346,0.06356259],"study_design_scores_gemma":[0.032560393,0.0032636141,0.09555236,0.006301057,0.0009182346,0.0005612741,0.06264501,0.27472708,0.32096952,0.10775425,0.08426558,0.010481594],"about_ca_topic_score_codex":0.00006733167,"about_ca_topic_score_gemma":0.00001353673,"teacher_disagreement_score":0.2496797,"about_ca_system_score_codex":0.00010005821,"about_ca_system_score_gemma":0.000020653117,"threshold_uncertainty_score":0.6743569},"labels":[],"label_agreement":null},{"id":"W3021550080","doi":"10.3182/20060829-4-cn-2909.00225","title":"FAULT DETECTION OF ROTATING MACHINERY FROM BICOHERENCE ANALYSIS OF VIBRATION DATA","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Machine Fault Diagnosis Techniques","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","funders":"","keywords":"Bicoherence; SIGNAL (programming language); Vibration; Signature (topology); Fault (geology); Signal processing; Fault detection and isolation; Representation (politics); Computer science; Linearity; Engineering; Control theory (sociology); Pattern recognition (psychology); Artificial intelligence; Bispectrum; Electronic engineering; Acoustics; Mathematics; Digital signal processing; Spectral density; Physics; Telecommunications","score_opus":0.011441502732915793,"score_gpt":0.2531926869178164,"score_spread":0.24175118418490057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021550080","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":[0.97201926,0.00024937742,0.025905915,0.000010943557,0.000046740748,0.00016508404,0.00022375447,0.00041843002,0.0009605072],"genre_scores_gemma":[0.9809225,0.000021750637,0.01868505,0.000005074485,0.0000643941,0.000028330052,0.00023447722,0.000025713227,0.000012680728],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988138,0.0000065694026,0.00050101633,0.0002776146,0.00025229395,0.00014868584],"domain_scores_gemma":[0.99929786,0.00006918132,0.00021935537,0.00025512485,0.00013265864,0.00002583753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018327702,0.00016259312,0.0003565308,0.0003863272,0.00003256964,0.000038361344,0.00036719276,0.0000974982,0.000037004087],"category_scores_gemma":[0.00014061877,0.0001713364,0.000075033415,0.0009635644,0.00003495185,0.0005507208,0.00009202506,0.00012571971,0.0000016827385],"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":[0.000008515609,0.00005989981,0.23178169,0.0001584976,0.0003540214,3.331251e-7,0.0002047034,0.006363707,0.7261219,0.00006057486,0.00090156536,0.033984598],"study_design_scores_gemma":[0.00007027432,0.000019700072,0.10017433,0.000038554903,0.0002560482,2.3762867e-7,0.000028839593,0.61714256,0.28183773,0.00022803948,0.00008170707,0.00012194785],"about_ca_topic_score_codex":0.00343171,"about_ca_topic_score_gemma":0.00054325373,"teacher_disagreement_score":0.61077887,"about_ca_system_score_codex":0.000027223106,"about_ca_system_score_gemma":0.0000071092904,"threshold_uncertainty_score":0.6986896},"labels":[],"label_agreement":null},{"id":"W32681276","doi":"10.3182/20020721-6-es-1901.00327","title":"PERFORMANCE LIMITATIONS IN THE RIPPLE-FREE ROBUST SERVOMECHANISM PROBLEM FOR SAMPLED LTI SYSTEMS","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Servomechanism; Control theory (sociology); Ripple; Tracking error; Robust control; Limiting; Engineering; Mathematics; Control engineering; Control system; Computer science; Control (management)","score_opus":0.049612014553372524,"score_gpt":0.20035961895375823,"score_spread":0.1507476044003857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W32681276","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":[0.9085077,0.0030228966,0.01651494,0.0021100105,0.0015811997,0.008262513,0.000107176485,0.0019487606,0.05794482],"genre_scores_gemma":[0.9929018,0.000041698957,0.0032096498,0.000043372256,0.000295803,0.0015542291,0.000009105964,0.000064969674,0.0018793514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985398,0.000018259232,0.0004186003,0.0002637255,0.00027141714,0.00048819793],"domain_scores_gemma":[0.99930215,0.00016863579,0.000096377255,0.00018991706,0.00019450145,0.000048422397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005308695,0.000251826,0.00029391196,0.0001762497,0.00021125401,0.00032687595,0.00052384485,0.000116972835,0.000011684236],"category_scores_gemma":[0.00019361303,0.00020856533,0.00007134402,0.0003973506,0.000026475316,0.0005059468,0.000029996938,0.0002721513,0.000052797248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001089878,0.0004728898,0.069241926,0.013011959,0.0006629979,0.000012337733,0.13216066,0.47812632,0.027611297,0.06154284,0.19293721,0.024110561],"study_design_scores_gemma":[0.00096466887,0.0001286778,0.0019649528,0.00019316706,0.000019704255,0.000019227518,0.0016286648,0.96606237,0.000060374266,0.00022238247,0.0284437,0.00029208334],"about_ca_topic_score_codex":0.00002697364,"about_ca_topic_score_gemma":0.00003289932,"teacher_disagreement_score":0.48793608,"about_ca_system_score_codex":0.000120240606,"about_ca_system_score_gemma":0.000006895106,"threshold_uncertainty_score":0.8505047},"labels":[],"label_agreement":null},{"id":"W350986499","doi":"10.3182/20020721-6-es-1901.00953","title":"REAL-TIME IMPLEMENTATION OF A NEURO-AVR FOR SYNCHRONOUS GENERATOR","year":2002,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Voltage regulator; Generator (circuit theory); Control engineering; Electric power system; Time domain; Computer science; Permanent magnet synchronous generator; Open-loop controller; Voltage; Power (physics); Engineering; Control (management); Artificial intelligence; Electrical engineering","score_opus":0.010166541062089645,"score_gpt":0.2267693280707333,"score_spread":0.21660278700864366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W350986499","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":[0.9799934,0.00019562102,0.00943359,0.00011289666,0.00033056652,0.00095093163,0.000108992805,0.00062887446,0.008245142],"genre_scores_gemma":[0.99404174,0.000053164084,0.005467895,0.000015054832,0.000048357586,0.00009447319,0.00000853033,0.000033371416,0.00023738542],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991967,0.0000034762827,0.00031440798,0.00016616774,0.00011689777,0.00020231833],"domain_scores_gemma":[0.99962294,0.000022016342,0.00006710914,0.00007792374,0.00014975769,0.000060256003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010693739,0.00012335097,0.00019298264,0.000066785506,0.000048619924,0.000037968643,0.00009797838,0.000051739888,0.00040071172],"category_scores_gemma":[0.00003518636,0.00013201188,0.00006248581,0.00014372065,0.000019309817,0.00019726549,0.0000130689305,0.00003481223,0.00002368547],"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":[0.000061116174,0.0003410131,0.06776331,0.004571159,0.0004574444,0.000002537533,0.018576501,0.007155582,0.5614396,0.003980917,0.28975675,0.045894086],"study_design_scores_gemma":[0.0012111256,0.00022855555,0.003997504,0.000033706205,0.00005311366,0.000008759724,0.00072010234,0.93275696,0.04573727,0.0000674404,0.014738621,0.00044683364],"about_ca_topic_score_codex":0.000016603744,"about_ca_topic_score_gemma":0.000003574819,"teacher_disagreement_score":0.92560136,"about_ca_system_score_codex":0.000058940746,"about_ca_system_score_gemma":0.000008163912,"threshold_uncertainty_score":0.5383288},"labels":[],"label_agreement":null},{"id":"W386049144","doi":"10.3182/20100707-3-be-2012.0078","title":"Damping Feedback Stabilization for Cyclic Interconnections Systems: Oscillations Suppression and Synchronization","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Dissipative system; Constructive; Control theory (sociology); Synchronization (alternating current); Computation; Controller (irrigation); Homotopy; Mathematics; Function (biology); Product (mathematics); Topology (electrical circuits); Computer science; Control (management); Physics; Pure mathematics; Algorithm","score_opus":0.005794243362028487,"score_gpt":0.20662726201347717,"score_spread":0.20083301865144867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W386049144","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":[0.92585707,0.00019553585,0.070428,0.00016447877,0.001141033,0.0008541883,0.00004614146,0.0005295326,0.00078402116],"genre_scores_gemma":[0.99863493,0.000016508933,0.0007835808,0.0000049754462,0.00023419013,0.0001527023,0.000031977284,0.000031850075,0.00010929043],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991073,0.0000051372094,0.00030708488,0.0002446799,0.00011554921,0.00022026207],"domain_scores_gemma":[0.9994617,0.00009341995,0.000054703825,0.000087575485,0.00020995892,0.00009261957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835734,0.00015078676,0.00019850784,0.00009783481,0.00023833518,0.00022846802,0.00007433913,0.00014109052,0.00001569668],"category_scores_gemma":[0.00030998705,0.00014896186,0.000045215696,0.00015897841,0.000049622813,0.0004523611,0.000025515972,0.00014251658,0.0000043815867],"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":[0.0000751799,0.00017739472,0.19405219,0.0059141065,0.0002513484,3.5547532e-7,0.0073983953,0.019813227,0.67807597,0.0339916,0.0037214682,0.056528747],"study_design_scores_gemma":[0.00038813564,0.0000375482,0.0074246,0.00010187162,0.000027244612,0.000008814122,0.00063239236,0.98330915,0.0002680294,0.0005931872,0.0069933045,0.00021569453],"about_ca_topic_score_codex":0.000039797425,"about_ca_topic_score_gemma":0.00017478819,"teacher_disagreement_score":0.96349597,"about_ca_system_score_codex":0.000062997104,"about_ca_system_score_gemma":0.000010552413,"threshold_uncertainty_score":0.6074488},"labels":[],"label_agreement":null},{"id":"W4235428579","doi":"10.1016/s1474-6670(17)37896-5","title":"Sensor Fusion","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Sensor fusion; Information fusion; Computer science; Fusion; Ideal (ethics); SIGNAL (programming language); Data mining; Artificial intelligence","score_opus":0.00932538382728956,"score_gpt":0.21678193897633286,"score_spread":0.2074565551490433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235428579","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":[0.8731609,0.00044340867,0.01349506,0.00257684,0.00093362865,0.00030610984,0.000010940225,0.0023506037,0.10672251],"genre_scores_gemma":[0.8898333,0.0002745144,0.09355927,0.0009932485,0.00050826604,0.000016775444,0.0000075594853,0.000029109262,0.014777994],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841595,0.000008443753,0.00024606337,0.000539532,0.0003574561,0.00043253243],"domain_scores_gemma":[0.99934906,0.000033478715,0.000063419815,0.00028839547,0.000113710805,0.00015193847],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019345267,0.00018445723,0.00017531916,0.00008138079,0.00027997018,0.00039354624,0.0008523532,0.00011136612,0.00075674546],"category_scores_gemma":[0.00003341469,0.00016738202,0.00007351376,0.00044806628,0.000053116197,0.000807041,0.00015594934,0.00020752625,0.0011479473],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025204621,0.00011511434,0.0067833457,0.00003039867,0.000017573324,0.00002313783,0.0013308584,0.000084329164,0.0026219983,0.015945092,0.12809072,0.84493226],"study_design_scores_gemma":[0.00059681287,0.00014658211,0.009797854,0.000099138,0.000012480748,0.00018107722,0.00011421761,0.099053234,0.0029938873,0.004232473,0.88204813,0.0007241005],"about_ca_topic_score_codex":0.000026664517,"about_ca_topic_score_gemma":8.770052e-7,"teacher_disagreement_score":0.8442081,"about_ca_system_score_codex":0.000022056694,"about_ca_system_score_gemma":0.000018221595,"threshold_uncertainty_score":0.9996298},"labels":[],"label_agreement":null},{"id":"W4236969510","doi":"10.3182/20090812-3-dk-2006.00030","title":"A 5-Component Model for Salt-Induced Hypertension","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Sodium Intake and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; Irish Research Council","keywords":"Component (thermodynamics); Computer science; Salt (chemistry); Chemistry; Thermodynamics; Physics","score_opus":0.052080970621000026,"score_gpt":0.29830913137055964,"score_spread":0.2462281607495596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236969510","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":[0.9859517,0.00013056268,0.0004583128,0.010397316,0.0004604591,0.0007111494,0.0000058867327,0.00038469993,0.0014998779],"genre_scores_gemma":[0.98610353,0.000009711557,0.0075845574,0.0054388237,0.00042191928,0.00004370139,0.000008442936,0.00003758451,0.00035174488],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841255,0.0000036462652,0.00032713384,0.00042751487,0.00025571097,0.00057345047],"domain_scores_gemma":[0.9992645,0.000030973835,0.0001301043,0.00012288561,0.00027727935,0.00017429485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021427312,0.00021969927,0.00032423675,0.00013107066,0.00032319236,0.000090271096,0.00018954618,0.00016047446,0.000007774089],"category_scores_gemma":[0.00012015913,0.00020751562,0.00012851924,0.00014648736,0.000021822374,0.00029171468,0.000018975195,0.00018836904,0.00004298843],"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":[0.0015133352,0.0006108073,0.0027674276,0.00030720254,0.000030116249,0.000003040007,0.0066766515,0.000046522884,0.7280978,0.0052576787,0.10933326,0.14535613],"study_design_scores_gemma":[0.002892684,0.0020181031,0.018682174,0.00024768274,0.00013334036,0.00006746516,0.0007482119,0.8541941,0.07917892,0.031976033,0.008982834,0.0008784559],"about_ca_topic_score_codex":0.000052893556,"about_ca_topic_score_gemma":0.000005781818,"teacher_disagreement_score":0.85414755,"about_ca_system_score_codex":0.00013459109,"about_ca_system_score_gemma":0.0000382199,"threshold_uncertainty_score":0.8462241},"labels":[],"label_agreement":null},{"id":"W4243641026","doi":"10.3182/20090603-3-ru-2001.00341","title":"Designing and Evaluating Sustainable Supply Chains: A Carbon Market Oriented Approach","year":2009,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"École de Technologie Supérieure","funders":"","keywords":"Supply chain; Sustainability; Work (physics); Environmental economics; Dimension (graph theory); Supply chain management; Business; Order (exchange); Industrial organization; Risk analysis (engineering); Engineering; Economics; Marketing","score_opus":0.010681055667419092,"score_gpt":0.22345415985985845,"score_spread":0.21277310419243936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243641026","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":[0.75765526,0.0006570688,0.0013472828,0.0020798258,0.00014626437,0.0023468905,8.0134555e-7,0.00091634324,0.23485029],"genre_scores_gemma":[0.9767359,0.000017102737,0.00714922,0.001447836,0.0008321281,0.0001785667,0.000015678625,0.000071778144,0.013551828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966913,0.000012671486,0.00047010923,0.0008886195,0.00070254755,0.0012347415],"domain_scores_gemma":[0.99852365,0.000037836828,0.00035682748,0.00021500206,0.0008151275,0.000051576066],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002098731,0.00048117968,0.00043702594,0.00079371064,0.00058388384,0.0011659735,0.00039350332,0.00013654362,0.0000812353],"category_scores_gemma":[0.0009673545,0.0004941978,0.00008312943,0.0014089077,0.000102131766,0.0020931226,0.00044635916,0.000284601,0.000009409456],"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":[0.0012051738,0.0012318138,0.35481325,0.010864169,0.00048365892,0.00030380205,0.0070930105,0.00045476624,0.005969426,0.42755777,0.089746654,0.1002765],"study_design_scores_gemma":[0.004714482,0.00038033628,0.05484697,0.00040689463,0.0005543702,0.0000346914,0.13974293,0.70515615,0.00035996214,0.029165018,0.062087264,0.0025509354],"about_ca_topic_score_codex":0.00052742916,"about_ca_topic_score_gemma":0.0000021655064,"teacher_disagreement_score":0.70470136,"about_ca_system_score_codex":0.00022392918,"about_ca_system_score_gemma":0.00004849175,"threshold_uncertainty_score":0.9998709},"labels":[],"label_agreement":null},{"id":"W4248886148","doi":"10.1016/s1474-6670(17)34239-8","title":"Molecular Modelling of Dlffusional Motion and Transfer of Pyrene in Lipid Membranes","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pyrene; Membrane; Molecular dynamics; Phospholipid; Molecule; Chemical physics; Lipid bilayer; Chemistry; Diffusion; Materials science; Biophysics; Computational chemistry; Organic chemistry; Physics; Thermodynamics; Biochemistry","score_opus":0.011734623167945516,"score_gpt":0.22230621535172304,"score_spread":0.21057159218377752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248886148","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":[0.99791276,0.00037849322,0.0011115595,0.00005694612,0.000045116038,0.0001322772,0.000008049396,0.0000059686727,0.00034885085],"genre_scores_gemma":[0.9987717,0.0004460285,0.0005863966,0.000023591945,0.00007246334,0.000008002064,0.000017237568,0.000014845788,0.000059679165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992126,0.0000054084408,0.0002505983,0.00024180906,0.00013818749,0.00015139897],"domain_scores_gemma":[0.9997205,0.0000030971175,0.00004831239,0.000068802634,0.00011728133,0.00004197741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009690403,0.0001256581,0.00019421984,0.00008110699,0.000019263221,0.0000069378516,0.000091250324,0.00013521632,0.0000135641885],"category_scores_gemma":[0.000014390414,0.00011791869,0.00006175604,0.00011642057,0.000082836195,0.0000108767945,0.000032946467,0.00006238234,2.0974606e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010162484,0.000052221047,0.016401501,0.00012983796,0.000012652032,9.813439e-7,0.00014241858,0.00044840627,0.97909707,0.00014834967,0.000003234531,0.003461727],"study_design_scores_gemma":[0.0006174495,0.00012845136,0.00412678,0.000047506666,0.000027692498,0.0000217705,0.000091938535,0.0013963922,0.99297166,0.00007574398,0.00036479134,0.00012983644],"about_ca_topic_score_codex":0.000051523246,"about_ca_topic_score_gemma":0.000009001192,"teacher_disagreement_score":0.013874601,"about_ca_system_score_codex":0.0000038113644,"about_ca_system_score_gemma":0.000018566834,"threshold_uncertainty_score":0.48085847},"labels":[],"label_agreement":null},{"id":"W4251603063","doi":"10.1016/s1474-6670(17)32374-1","title":"CLP-Based project-driven manufacturing","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Manufacturing engineering; Computer science; Engineering; Systems engineering; Industrial engineering","score_opus":0.009546570626172311,"score_gpt":0.20905342565535157,"score_spread":0.19950685502917925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251603063","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":[0.9589858,0.00020621484,0.019631112,0.0002154968,0.0003965622,0.000548697,0.000010333108,0.0024677326,0.017538046],"genre_scores_gemma":[0.9837927,0.000044274388,0.015558253,0.00007882166,0.00015280575,0.00007338393,0.000012558408,0.00007211839,0.00021503282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998836,0.0000014167443,0.0002395252,0.00028590718,0.00023315052,0.00040402345],"domain_scores_gemma":[0.9996916,0.000007541387,0.00005311542,0.000102031976,0.00006155918,0.00008412488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006589228,0.00026052486,0.00020279505,0.00019471087,0.00012786928,0.00016910015,0.0002239458,0.00012816416,0.00005042581],"category_scores_gemma":[0.000017110726,0.0002608546,0.00007081325,0.00015498664,0.000035997014,0.0004005028,0.000030968713,0.00020473868,0.000061383835],"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":[0.000031135925,0.00008538829,0.0021418915,0.0014520043,0.00007977928,0.0000106557845,0.0015193846,0.9731014,0.00233236,0.00089483376,0.0024685375,0.015882645],"study_design_scores_gemma":[0.0023424213,0.00015994644,0.0055518616,0.0004021245,0.00007101043,0.000023706627,0.00031923057,0.18106733,0.7736957,0.0017023487,0.033250183,0.001414107],"about_ca_topic_score_codex":0.00003510334,"about_ca_topic_score_gemma":0.0000063526068,"teacher_disagreement_score":0.79203403,"about_ca_system_score_codex":0.00014229938,"about_ca_system_score_gemma":0.000039355753,"threshold_uncertainty_score":0.9999844},"labels":[],"label_agreement":null},{"id":"W64777822","doi":"10.3182/20100707-3-be-2012.0074","title":"Minimising Experimental Time for Kinetic Parameter Identification using Surface Plasmon Resonance by Injecting multiple analytes","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","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":"Polytechnique Montréal","funders":"","keywords":"Analyte; Surface plasmon resonance; Biosensor; Biological system; Kinetic energy; Chemistry; Ligand (biochemistry); Analytical Chemistry (journal); Materials science; Chromatography; Nanotechnology; Nanoparticle; Physics","score_opus":0.026064192985985682,"score_gpt":0.32031051492915,"score_spread":0.29424632194316436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W64777822","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":[0.9977006,0.0007089887,0.000055899724,0.0003720097,0.00014775497,0.0006195883,0.00004186192,0.00007865609,0.0002746724],"genre_scores_gemma":[0.97287136,0.000014533323,0.02021539,0.000068719695,0.000224214,0.000029710567,0.00004682261,0.000045711768,0.006483553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998258,0.000007430955,0.00038389018,0.00048808183,0.00039268588,0.0004699048],"domain_scores_gemma":[0.9990746,0.00019442097,0.00016064964,0.00011866561,0.00028503317,0.00016667784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003144325,0.00022237783,0.00031605098,0.00009739879,0.00029966203,0.00015053674,0.0001544782,0.00013976362,0.00008745153],"category_scores_gemma":[0.00062771747,0.00020528016,0.00012988927,0.00022289398,0.00016020975,0.00031244513,0.00007169783,0.0003031419,0.00003321137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037344676,0.00011446521,0.06529685,0.00010857913,0.00003227501,0.0000015863004,0.0003952496,0.0000029301773,0.92897683,0.00002171861,0.002804558,0.0018715042],"study_design_scores_gemma":[0.0008451374,0.0002641022,0.008063802,0.00011934166,0.000048668833,0.00009094049,0.00039258588,0.12509072,0.85635024,0.000054391992,0.008412103,0.00026798845],"about_ca_topic_score_codex":0.00019175951,"about_ca_topic_score_gemma":0.000004928571,"teacher_disagreement_score":0.12508778,"about_ca_system_score_codex":0.000060337337,"about_ca_system_score_gemma":0.000045163913,"threshold_uncertainty_score":0.8371082},"labels":[],"label_agreement":null},{"id":"W66489813","doi":"10.3182/20100705-3-be-2011.00127","title":"Economic performance assessment with optimized LQG benchmarking in MIMO systems","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benchmarking; Linear-quadratic-Gaussian control; MIMO; Control theory (sociology); Computer science; Control engineering; Engineering; Control (management); Economics; Artificial intelligence; Telecommunications","score_opus":0.0029922696353204114,"score_gpt":0.19398701822830558,"score_spread":0.19099474859298518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W66489813","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":[0.97258085,0.000112560156,0.012139217,0.00002370915,0.00093037507,0.00065448694,0.0000039516367,0.00043115258,0.013123689],"genre_scores_gemma":[0.971853,0.000044624237,0.02736676,0.000005565254,0.00025921123,0.00025902223,0.000006433734,0.00006446091,0.0001408862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878,0.0000038676003,0.0003833146,0.00029371915,0.00015379295,0.00038530407],"domain_scores_gemma":[0.9995818,0.000023591825,0.00011451429,0.00013106783,0.00006940326,0.00007958843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024711317,0.00024670205,0.00034837754,0.00018095542,0.000071407696,0.00016475919,0.00019440026,0.0001234186,0.000023811379],"category_scores_gemma":[0.000009646784,0.00023895901,0.000029534027,0.00015081963,0.000033191573,0.0008362416,0.000025665337,0.00035967352,0.000018118093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026821454,0.000012459958,0.077587314,0.0002500308,0.000040095812,0.0000018989119,0.0002299737,0.9131506,0.004432429,0.0006725253,0.000121977406,0.0034738383],"study_design_scores_gemma":[0.0010951937,0.000050321953,0.0064671165,0.00014917365,0.000011880173,0.00002493227,0.00015035064,0.99046165,0.0002663826,0.000008803982,0.0009976949,0.00031648588],"about_ca_topic_score_codex":0.00005016712,"about_ca_topic_score_gemma":0.000049903345,"teacher_disagreement_score":0.07731103,"about_ca_system_score_codex":0.0002546354,"about_ca_system_score_gemma":0.000039127175,"threshold_uncertainty_score":0.97444654},"labels":[],"label_agreement":null},{"id":"W78932006","doi":"10.3182/20100705-3-be-2011.00019","title":"Fault detection using CUSUM based techniques with application to the Tennessee Eastman Process","year":2010,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"CUSUM; Fault detection and isolation; Process (computing); Statistical process control; Fault (geology); Engineering; Reliability engineering; Computer science; Control theory (sociology); Real-time computing; Control engineering; Control (management); Artificial intelligence; Operations management","score_opus":0.004031052360832332,"score_gpt":0.21342976509487424,"score_spread":0.2093987127340419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W78932006","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":[0.9348682,0.000016446724,0.061253782,0.0002170392,0.00024025809,0.0009640295,0.0000032754826,0.0011583212,0.0012786142],"genre_scores_gemma":[0.9976777,5.9691575e-7,0.0010782931,0.000084831394,0.00034401877,0.0006967008,9.762363e-7,0.00005727299,0.000059638776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990081,0.0000035548414,0.00019929766,0.0002613521,0.00026392334,0.00026375317],"domain_scores_gemma":[0.99944156,0.000009591917,0.00006584522,0.00015175907,0.0002399609,0.00009126316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020309437,0.00020369289,0.00015785934,0.0001402198,0.00021766017,0.00018198062,0.00024201143,0.00012528211,0.000007548011],"category_scores_gemma":[0.000031920365,0.00014664866,0.00003916078,0.0005184653,0.000034130626,0.00019522256,0.00001276826,0.000304689,0.000029046583],"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":[0.00004185321,0.000019612646,0.0021400084,0.00016228225,0.000023491988,3.3395332e-7,0.00037207015,0.002756213,0.94938487,0.00004107092,0.0000940096,0.044964194],"study_design_scores_gemma":[0.00018429426,0.000065773085,0.00075161573,0.000045677527,0.00002402267,0.000027563894,0.0004344833,0.6841828,0.29241273,0.000030645235,0.021572797,0.00026758196],"about_ca_topic_score_codex":0.00009129212,"about_ca_topic_score_gemma":0.00030205137,"teacher_disagreement_score":0.68142664,"about_ca_system_score_codex":0.000054409076,"about_ca_system_score_gemma":0.0000183048,"threshold_uncertainty_score":0.59801584},"labels":[],"label_agreement":null},{"id":"W8021931","doi":"10.1016/s1474-6670(17)32109-2","title":"Human presence detection and tracking for a concierge robot","year":2004,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Tracking (education); Robot; Psychology","score_opus":0.013789217684159237,"score_gpt":0.22730256577373542,"score_spread":0.21351334808957617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W8021931","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":[0.8357547,0.00019096014,0.1628354,0.000048501646,0.00014855425,0.00030599572,0.0000028714505,0.00032364263,0.00038937325],"genre_scores_gemma":[0.99684983,0.000021696593,0.002876083,0.000019587327,0.000103504106,0.000032474996,0.000002378906,0.00003097775,0.00006345597],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994046,9.406629e-7,0.00014638371,0.00016175352,0.00008925767,0.00019707804],"domain_scores_gemma":[0.99976975,0.0000091741385,0.000028745513,0.000038261827,0.00009755764,0.000056500445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007352218,0.000112190515,0.00011190304,0.00006272678,0.0001508908,0.000108233326,0.000053790445,0.00007582975,0.0000025625768],"category_scores_gemma":[0.000051521558,0.000121852754,0.00002938645,0.00010862402,0.00003235078,0.00023879088,0.00000940441,0.00007104379,0.000001844093],"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":[0.000014270504,0.000034289107,0.002467346,0.00064378546,0.00005058178,0.0000014828983,0.0017159331,0.2430436,0.7266465,0.0069978638,0.00030396495,0.018080415],"study_design_scores_gemma":[0.0016811579,0.00028888552,0.009245729,0.00019379708,0.000060751983,0.000025330923,0.0005302777,0.7103271,0.26918435,0.0055348775,0.0022958885,0.0006318871],"about_ca_topic_score_codex":0.000019591549,"about_ca_topic_score_gemma":0.000016602295,"teacher_disagreement_score":0.46728346,"about_ca_system_score_codex":0.000052517116,"about_ca_system_score_gemma":0.0000059884387,"threshold_uncertainty_score":0.49690112},"labels":[],"label_agreement":null},{"id":"W87205323","doi":"10.3182/20120328-3-it-3014.00048","title":"Fault-Tolerant Fuzzy Gain-Scheduled PID for a Quadrotor Helicopter Testbed in the Presence of Actuator Faults","year":2012,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Actuator; Control theory (sociology); PID controller; Engineering; Control engineering; Fault tolerance; Fuzzy logic; Controller (irrigation); Fault (geology); Scheme (mathematics); Computer science; Control (management); Artificial intelligence; Temperature control; Reliability engineering","score_opus":0.013017598252174285,"score_gpt":0.23804773563881693,"score_spread":0.22503013738664265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W87205323","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":[0.9951038,0.00047591334,0.0003994514,0.00013420887,0.0004603712,0.0014661176,0.000018791903,0.00020563354,0.0017357612],"genre_scores_gemma":[0.99772984,0.000010793407,0.0006113857,0.00007378236,0.00034422445,0.0010022772,0.0000021569435,0.00004044961,0.00018508144],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853885,0.000014417541,0.00045403882,0.00019530678,0.00028591644,0.0005114555],"domain_scores_gemma":[0.99937934,0.00014397243,0.00010465197,0.00015293612,0.0001220369,0.00009708016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005773796,0.00023426079,0.00034675965,0.00012658615,0.000064772146,0.000052957475,0.00032111644,0.00013752945,0.000014769653],"category_scores_gemma":[0.0002559527,0.0001767078,0.0001272118,0.00027163132,0.000043321103,0.00039214233,0.000021611831,0.00018418778,0.000031177282],"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":[0.00101139,0.00097414094,0.10652018,0.0049626366,0.00055001985,0.0000041876933,0.080809325,0.001431199,0.73925316,0.0037225916,0.016372848,0.04438831],"study_design_scores_gemma":[0.010729206,0.0009009067,0.060792964,0.0011181302,0.00020526619,0.00013664419,0.02453967,0.6397626,0.14815737,0.00063603,0.1106551,0.0023661174],"about_ca_topic_score_codex":0.00006880049,"about_ca_topic_score_gemma":0.000019750723,"teacher_disagreement_score":0.6383314,"about_ca_system_score_codex":0.000055261193,"about_ca_system_score_gemma":0.000014639217,"threshold_uncertainty_score":0.7205935},"labels":[],"label_agreement":null}]}