{"meta":{"query_hash":"4fd7c68b1671","filters":{"topic":"Iterative Learning Control Systems"},"cohort_total":438,"direct_labels_cover":1,"predictions_cover":438,"exported":438,"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/4fd7c68b1671","api":"https://metacan.xera.ac/api/v1/cohort?topic=Iterative+Learning+Control+Systems"},"results":[{"id":"W137763200","doi":"10.1139/tcsme-2006-0005","title":"ON NONLINEARITY CONTROL OF CNC FEED DRIVES","year":2006,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Backlash; Control reconfiguration; Control engineering; Supervisory control; Process (computing); Control system; Servo; Control theory (sociology); Control (management); Computer science; Engineering; Servomotor; Machine tool; Function (biology); Motion control; Controller (irrigation); Robot; Embedded system; Mechanical engineering","score_opus":0.004314979140719323,"score_gpt":0.17808423534115767,"score_spread":0.17376925620043834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W137763200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.109681,0.003819014,0.7927488,0.0009633518,0.0006733963,0.00014705065,0.0001354778,0.0006373603,0.091194496],"genre_scores_gemma":[0.96998256,0.0007711284,0.010748129,0.000087089895,0.000053088235,0.000044337936,0.00005123356,0.000027225564,0.018235171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997284,0.000041965293,0.00001164622,0.000055977718,0.00013103934,0.000030888667],"domain_scores_gemma":[0.9997242,0.000077331555,0.000029930003,0.000023401164,0.00013171576,0.000013378748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027683037,0.00037699388,0.00032219346,0.0003371919,0.00050996913,0.0010473167,0.0005857599,0.00037796728,0.00277368],"category_scores_gemma":[0.0010030082,0.000109297645,0.00018682316,0.00035529872,0.00047981105,0.00041730283,0.00049029436,0.0005068154,0.00042896488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005207302,0.00012200949,0.0019377547,0.00049868535,0.00005357153,0.00053206447,0.0005898685,0.56728333,0.05581617,0.111830965,0.006019893,0.25479493],"study_design_scores_gemma":[0.000014313947,0.000110666326,0.00075128576,0.000028400627,0.00000986314,0.000112820395,0.00004632622,0.9780662,0.0049559567,0.006500913,0.009388423,0.000014820792],"about_ca_topic_score_codex":0.008535364,"about_ca_topic_score_gemma":0.008856647,"teacher_disagreement_score":0.008535364,"about_ca_system_score_codex":0.00077257276,"about_ca_system_score_gemma":0.0005586801,"threshold_uncertainty_score":0.01697135},"labels":[],"label_agreement":null},{"id":"W1485761249","doi":"10.1109/robot.1998.681028","title":"Disturbance attenuation and load decoupling with H/sup ∞/ positive joint torque feedback","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"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); Torque; Decoupling (probability); PID controller; Attenuation; Actuator; Stall torque; Positive feedback; Direct torque control; Computer science; Engineering; Physics; Control engineering; Control (management); Induction motor","score_opus":0.0077947349737180266,"score_gpt":0.17390232681963086,"score_spread":0.16610759184591284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485761249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29901612,0.000391005,0.6865066,0.00017270593,0.00009676733,0.00012512464,0.00004649642,0.0034383037,0.010206788],"genre_scores_gemma":[0.9636231,0.000048078946,0.033616662,0.00005459506,0.00001995962,0.00002276067,0.000031798372,0.000042136286,0.0025408803],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996805,0.00004287255,0.000026969046,0.00005562796,0.00014894511,0.000045066685],"domain_scores_gemma":[0.99933594,0.00021820131,0.0001254651,0.00010597361,0.00017823787,0.000036249814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039646972,0.0005600597,0.00033480962,0.00025943908,0.00026237662,0.0004917127,0.0007180787,0.00040411053,0.0021098424],"category_scores_gemma":[0.0014469879,0.0002226071,0.00018699943,0.0002185594,0.0007135158,0.00061353564,0.0005588804,0.00046628347,0.00045552777],"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":[0.0010672063,0.00033299267,0.0014975213,0.00048038297,0.000059881997,0.00031132376,0.00040953734,0.02573965,0.6882354,0.004459735,0.0009804472,0.27642584],"study_design_scores_gemma":[0.00022786808,0.001832135,0.005706112,0.000031251366,0.00007967783,0.0007223031,0.000097702854,0.23854636,0.74363315,0.0022924815,0.006767635,0.000063401116],"about_ca_topic_score_codex":0.0008730199,"about_ca_topic_score_gemma":0.0011384186,"teacher_disagreement_score":0.0021098424,"about_ca_system_score_codex":0.0002142184,"about_ca_system_score_gemma":0.0003329796,"threshold_uncertainty_score":0.0070581436},"labels":[],"label_agreement":null},{"id":"W1488050816","doi":"10.1109/icnn.1994.374663","title":"Experiments in feedforward shaping control of direct-drive robot using RBF network","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Feed forward; Trajectory; Feedforward neural network; Control theory (sociology); Computer science; Task (project management); Tracking (education); Radial basis function; Artificial intelligence; Robot; Artificial neural network; Motion control; Robotic arm; Control engineering; Control (management); Engineering","score_opus":0.03477941876900735,"score_gpt":0.24025383269252457,"score_spread":0.20547441392351723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488050816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.856256,0.00035740927,0.13259074,0.00022766973,0.000100388286,0.00019969241,0.0000908036,0.0009188277,0.009258497],"genre_scores_gemma":[0.9842667,0.00006139338,0.0144347185,0.000014114485,0.0000039401534,0.000042987693,0.000030393667,0.000011941954,0.0011336982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968493,0.00009408452,0.0000305738,0.000039166887,0.0001126476,0.000038580998],"domain_scores_gemma":[0.99889696,0.0005862958,0.00006921373,0.00017099353,0.00023205164,0.000044480294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008622031,0.00033627424,0.00034743987,0.00022425636,0.00026481238,0.00027557742,0.00038405642,0.00056747685,0.0013122195],"category_scores_gemma":[0.0020433238,0.00019620865,0.00020172492,0.00014498827,0.00045833192,0.0004616404,0.00041809742,0.00043400656,0.00018770737],"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":[0.002237322,0.0012237745,0.0019530598,0.0009502427,0.00008054969,0.00066508603,0.0008619124,0.6467835,0.21073735,0.007935295,0.0011013262,0.12547056],"study_design_scores_gemma":[0.00020893349,0.0037653625,0.0024728517,0.000031358693,0.000021395175,0.0001152402,0.0000998436,0.87466365,0.11498543,0.0017706112,0.0018317802,0.00003344948],"about_ca_topic_score_codex":0.0020521581,"about_ca_topic_score_gemma":0.001257286,"teacher_disagreement_score":0.0020521581,"about_ca_system_score_codex":0.00021368779,"about_ca_system_score_gemma":0.00021542089,"threshold_uncertainty_score":0.0045597553},"labels":[],"label_agreement":null},{"id":"W1497692107","doi":"10.1109/ias.1990.152254","title":"Adaptive position control of a permanent-magnet synchronous motor drive","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université Laval","funders":"","keywords":"Robustness (evolution); Permanent magnet synchronous motor; Control theory (sociology); Computer science; Synchronous motor; Control engineering; Adaptive control; Inverter; Position (finance); Machine control; Magnet; Control (management); Engineering; Artificial intelligence; Electrical engineering; Voltage","score_opus":0.005103044198983172,"score_gpt":0.173268987411549,"score_spread":0.16816594321256584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497692107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064863876,0.00033724555,0.92541015,0.000130495,0.00023842124,0.000049272894,0.00003138733,0.0013042628,0.0076348623],"genre_scores_gemma":[0.95451814,0.00012222823,0.039819952,0.00004591158,0.000063446496,0.000040827785,0.000032830587,0.00001611545,0.005340497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993217,0.000008740874,0.0000037944576,0.000015659341,0.000034078934,0.000005536658],"domain_scores_gemma":[0.99992263,0.000019084728,0.000013998684,0.000010285457,0.000027011154,0.000006994487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009229475,0.00022287425,0.00013959414,0.00012091718,0.00015373703,0.00024737837,0.00038368607,0.0002456129,0.0015688192],"category_scores_gemma":[0.00026442535,0.00007635362,0.00010696251,0.00010393368,0.00017792013,0.00017612688,0.00015221536,0.00026917257,0.00029157236],"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":[0.0002740131,0.00013014249,0.00074063765,0.00024992137,0.000044581415,0.00030485544,0.00015173134,0.19734752,0.20165706,0.012749314,0.003651552,0.5826987],"study_design_scores_gemma":[0.00006409727,0.0005123803,0.0013965182,0.00001030871,0.000016375032,0.00017860053,0.000010037906,0.96667886,0.020711293,0.0021359678,0.008267869,0.000017743345],"about_ca_topic_score_codex":0.0005945638,"about_ca_topic_score_gemma":0.0008118934,"teacher_disagreement_score":0.0015688192,"about_ca_system_score_codex":0.00011668734,"about_ca_system_score_gemma":0.00011400796,"threshold_uncertainty_score":0.0052482486},"labels":[],"label_agreement":null},{"id":"W1503536534","doi":"10.1109/acc.1994.735121","title":"Periodic adaptive stabilization of unstable nonminimum phase system","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Adaptive control; Controller (irrigation); Inverted pendulum; Position (finance); Computer science; Stability (learning theory); Control system; SIGNAL (programming language); MIMO; Control (management); Engineering; Nonlinear system; Physics","score_opus":0.007739210288704673,"score_gpt":0.21537499319201156,"score_spread":0.2076357829033069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503536534","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.252573,0.000324026,0.73769134,0.00014304405,0.000094263996,0.000039442668,0.000016130454,0.00043172788,0.008687043],"genre_scores_gemma":[0.98179513,0.00008983392,0.015959604,0.00001973713,0.000017299624,0.000026243604,0.000011542479,0.000011383629,0.0020691755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992156,0.000019364108,0.000003551719,0.000012256849,0.00003367978,0.000009488419],"domain_scores_gemma":[0.99987686,0.000047753263,0.000023564493,0.0000137422285,0.000032729567,0.000005231375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015626983,0.00019603025,0.00016302995,0.00012292412,0.00016735295,0.00021880066,0.00019055246,0.00017439845,0.00088079134],"category_scores_gemma":[0.0005378318,0.00007069439,0.000100152974,0.00008012498,0.00021246799,0.00014100055,0.00020901576,0.00019771291,0.000117563286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004122879,0.00006118384,0.0016304825,0.00023050056,0.00006304347,0.0009414423,0.00039885272,0.51625746,0.24376607,0.061676096,0.0019803515,0.17258218],"study_design_scores_gemma":[0.000018612209,0.00011981774,0.00052026624,0.0000069770963,0.000007169366,0.000051278046,0.000014976424,0.98017806,0.013028787,0.004917118,0.0011310936,0.00000592348],"about_ca_topic_score_codex":0.00048936333,"about_ca_topic_score_gemma":0.00041818214,"teacher_disagreement_score":0.00088079134,"about_ca_system_score_codex":0.00013729505,"about_ca_system_score_gemma":0.00011562613,"threshold_uncertainty_score":0.002946496},"labels":[],"label_agreement":null},{"id":"W1506372962","doi":"","title":"Iterative learning strategy for a class of nonlinear controllers applied to constrained batch processes","year":2004,"lang":"en","type":"article","venue":"Asian Control Conference","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Iterative learning control; Computer science; Trajectory; Convergence (economics); Process (computing); Mathematical optimization; Nonlinear system; Control theory (sociology); Exploit; Batch processing; Class (philosophy); Scheme (mathematics); Iterative method; Control (management); Iterative and incremental development; Algorithm; Artificial intelligence; Mathematics","score_opus":0.013350795556624096,"score_gpt":0.23799435647889894,"score_spread":0.22464356092227483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506372962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013691409,0.00017008613,0.98396456,0.000056041397,0.00002139004,0.000052685602,0.000008895036,0.00011384399,0.0019209783],"genre_scores_gemma":[0.7852602,0.00036245742,0.20798187,0.00010699894,0.000050477596,0.00037875405,0.00007055909,0.000051171486,0.005737535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995198,0.00012303743,0.000032867683,0.0001116528,0.00016664357,0.000045934004],"domain_scores_gemma":[0.9992586,0.00034732194,0.000105629915,0.000060739432,0.00020229782,0.00002537077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011529597,0.0008458316,0.0007081034,0.00035930358,0.00034273753,0.00062672223,0.0010478782,0.0008976322,0.0012360357],"category_scores_gemma":[0.0025055038,0.00022919184,0.0004758441,0.0003384689,0.00086721673,0.0006617873,0.0007338736,0.00092345243,0.00026476692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012871934,0.00008580111,0.0004286984,0.00018174751,0.000068791545,0.0001447628,0.0002712106,0.84131557,0.015849974,0.032897267,0.00083947607,0.10778785],"study_design_scores_gemma":[0.000007796767,0.00007859728,0.00006935121,0.0000045534293,0.000004796116,0.000011633923,0.000004399837,0.99572855,0.0016966775,0.0019556037,0.000432369,0.000005688043],"about_ca_topic_score_codex":0.003939804,"about_ca_topic_score_gemma":0.0021678961,"teacher_disagreement_score":0.003939804,"about_ca_system_score_codex":0.0006038734,"about_ca_system_score_gemma":0.00088019355,"threshold_uncertainty_score":0.007833779},"labels":[],"label_agreement":null},{"id":"W1518473281","doi":"10.1109/ccece.2015.7129435","title":"A modified pseudo inverse method for control allocation in electromechanical coupled systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Actuator; Control theory (sociology); Inverse; Inverter; Computer science; Control (management); Work (physics); Control system; Control engineering; Engineering; Mathematical optimization; Mathematics; Voltage; Mechanical engineering; Artificial intelligence","score_opus":0.023306742968582837,"score_gpt":0.267557825334693,"score_spread":0.24425108236611018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518473281","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002502563,0.000081040635,0.99635893,0.000021950349,0.00002051621,0.000015045507,0.0000025774439,0.000049454462,0.00094794494],"genre_scores_gemma":[0.5300586,0.00037674847,0.46162912,0.00012810943,0.000105987994,0.00028042487,0.000042054347,0.0000857925,0.0072932006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996953,0.00009998725,0.000014957926,0.000048522787,0.00012451151,0.00001664878],"domain_scores_gemma":[0.99982786,0.00008190107,0.000019643776,0.000019006635,0.000044000073,0.000007554912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004071376,0.0005448262,0.0003569722,0.00027067034,0.0002339843,0.00043480642,0.00060865114,0.00053034193,0.0018288576],"category_scores_gemma":[0.0007295527,0.0001973383,0.00029037282,0.00026532236,0.0005687233,0.0006322941,0.00047069023,0.0005257572,0.00037706757],"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":[0.00017026825,0.00012310201,0.00028813072,0.000299708,0.000078194316,0.00013964459,0.00027088166,0.5282776,0.06192964,0.07974759,0.0013452402,0.32733002],"study_design_scores_gemma":[0.000013511124,0.000079983954,0.00007035542,0.0000067702513,0.0000055690834,0.00003445373,0.000007091597,0.99066913,0.0028230443,0.004088266,0.002189484,0.00001220022],"about_ca_topic_score_codex":0.0011141374,"about_ca_topic_score_gemma":0.00096053135,"teacher_disagreement_score":0.0018288576,"about_ca_system_score_codex":0.00027297894,"about_ca_system_score_gemma":0.0003551409,"threshold_uncertainty_score":0.0061181188},"labels":[],"label_agreement":null},{"id":"W1561095256","doi":"10.1109/icarcv.2002.1234967","title":"A novel evolutionary PD control and application for trajectory tracking","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Trajectory; Tracking (education); Control theory (sociology); Computer science; Robot; Control engineering; Control (management); Robot manipulator; Iterative learning control; Artificial intelligence; Engineering","score_opus":0.006561523831384594,"score_gpt":0.2080823271586185,"score_spread":0.2015208033272339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561095256","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005158933,0.0002704124,0.9918882,0.00006311573,0.00006690425,0.000027963082,0.000006773774,0.00013025843,0.0023874075],"genre_scores_gemma":[0.65190095,0.0009151537,0.3393231,0.00018747627,0.000096726486,0.00021147507,0.000060358623,0.000030000152,0.007274717],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999788,0.000038275866,0.000014215995,0.0000579339,0.0000891048,0.000012450388],"domain_scores_gemma":[0.9998746,0.000036307243,0.000014072968,0.000015419708,0.000050800456,0.000008855367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030328464,0.00041073633,0.00032642428,0.00033720507,0.00028128672,0.00040006876,0.00057097,0.0004987742,0.0010743764],"category_scores_gemma":[0.0007244801,0.00014047342,0.00027490224,0.00031987258,0.00037858303,0.00034523738,0.0005024921,0.00041826963,0.00015588065],"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":[0.0001324165,0.00011086765,0.00084950274,0.00038036812,0.00007400374,0.00043170384,0.00016953508,0.25806412,0.063179165,0.05100169,0.0026148765,0.6229917],"study_design_scores_gemma":[0.00003859277,0.00017135037,0.00033270335,0.000014826726,0.000016322767,0.0002477589,0.00000946937,0.9796091,0.0066785016,0.004382484,0.00848199,0.000016988215],"about_ca_topic_score_codex":0.0008795987,"about_ca_topic_score_gemma":0.00051319523,"teacher_disagreement_score":0.0010743764,"about_ca_system_score_codex":0.00019213147,"about_ca_system_score_gemma":0.0002514892,"threshold_uncertainty_score":0.00359416},"labels":[],"label_agreement":null},{"id":"W1570875470","doi":"10.4271/2009-01-0954","title":"Torque Converter Clutch Control using H∞ Loop Shaping","year":2009,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Clutch; Torque converter; Control theory (sociology); Torque; Direct torque control; Loop (graph theory); Computer science; Control (management); Automotive engineering; Engineering; Physics; Voltage; Induction motor; Electrical engineering; Mathematics; Artificial intelligence","score_opus":0.01367318213758153,"score_gpt":0.24204142980723173,"score_spread":0.2283682476696502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570875470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028890546,0.00018946358,0.9595205,0.000085662614,0.00006738628,0.00005958496,0.00002657873,0.0021928446,0.008967452],"genre_scores_gemma":[0.9521071,0.0001222913,0.040786617,0.0000550649,0.000028082266,0.00006159658,0.000043302745,0.00007952109,0.00671653],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998252,0.000018090606,0.000007884575,0.000028561502,0.00010632054,0.000013961483],"domain_scores_gemma":[0.9997651,0.000067862136,0.0000372352,0.000025768613,0.0000925978,0.000011519669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026783292,0.00029520947,0.0002548494,0.00025349788,0.00026279473,0.00066346617,0.0005765109,0.0003325285,0.001854818],"category_scores_gemma":[0.00067584607,0.00011773999,0.0001590802,0.00017533901,0.00032504826,0.00028258207,0.00033275428,0.00036868366,0.00054847426],"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":[0.00039420402,0.0001823166,0.0006527349,0.00040922262,0.000044322118,0.00028864632,0.0003526596,0.39954114,0.13508312,0.01507301,0.0047455607,0.44323313],"study_design_scores_gemma":[0.00005684062,0.00024701486,0.00037920952,0.000016153324,0.0000103726325,0.000085877786,0.000024781675,0.9612961,0.0312903,0.00164075,0.0049355836,0.000016912016],"about_ca_topic_score_codex":0.0018911698,"about_ca_topic_score_gemma":0.0013973708,"teacher_disagreement_score":0.0018911698,"about_ca_system_score_codex":0.0002947446,"about_ca_system_score_gemma":0.00047823958,"threshold_uncertainty_score":0.0062049627},"labels":[],"label_agreement":null},{"id":"W1573531096","doi":"10.1109/acc.1994.735171","title":"Sampled-date repetitive control systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Repetitive control; Control theory (sociology); Controller (irrigation); Computer science; Tracking (education); Power (physics); Discrete time and continuous time; Measure (data warehouse); Sampled data systems; Tracking error; Track (disk drive); Control system; Control engineering; Control (management); Mathematics; Engineering; Artificial intelligence","score_opus":0.005440994964714497,"score_gpt":0.19655366558386128,"score_spread":0.19111267061914677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573531096","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01917215,0.0004524473,0.9729301,0.00012138994,0.00011777371,0.000049446528,0.000060524195,0.0005712542,0.006524929],"genre_scores_gemma":[0.86491513,0.00053583493,0.12235137,0.00020577523,0.0001703363,0.0001310889,0.00019458322,0.000054441298,0.011441495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994554,0.000081351434,0.000028033232,0.0001349282,0.0002659828,0.000034375284],"domain_scores_gemma":[0.9994758,0.00017111645,0.000080760954,0.000114601804,0.00013544457,0.000022229204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040359347,0.00044312066,0.000465954,0.000220948,0.0003071911,0.00075610745,0.0007836698,0.00065158674,0.0028579265],"category_scores_gemma":[0.0016938968,0.00014820289,0.0003242865,0.00028751834,0.0004634711,0.00069056975,0.0005327224,0.0005965869,0.0006415222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049383554,0.00021605271,0.0010597013,0.00059121003,0.000113691734,0.0005200778,0.00037996873,0.42107415,0.067420274,0.13239445,0.003563167,0.37217346],"study_design_scores_gemma":[0.000081514896,0.00050323165,0.0005710427,0.000028714441,0.000029458079,0.0002998747,0.00004192375,0.93059844,0.015037748,0.040466443,0.012307913,0.00003369613],"about_ca_topic_score_codex":0.0005866689,"about_ca_topic_score_gemma":0.0006270207,"teacher_disagreement_score":0.0028579265,"about_ca_system_score_codex":0.00031811872,"about_ca_system_score_gemma":0.00029965318,"threshold_uncertainty_score":0.009560704},"labels":[],"label_agreement":null},{"id":"W1574249760","doi":"10.1109/ccece.2001.933697","title":"Position control of a flexible joint with friction using neural network feedforward inverse models","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Control theory (sociology); Feed forward; Artificial neural network; Computer science; Robustness (evolution); Nonlinear system; Inverse dynamics; Sliding mode control; Control engineering; Artificial intelligence; Engineering; Control (management)","score_opus":0.024340919559695636,"score_gpt":0.19142465515352533,"score_spread":0.1670837355938297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574249760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05918441,0.00032484622,0.93591696,0.00014263939,0.00007683517,0.000029663335,0.000016534634,0.0003580308,0.003950019],"genre_scores_gemma":[0.96746397,0.00014903977,0.02970999,0.000025054298,0.00002091553,0.00003766146,0.00001628546,0.000012263647,0.002564935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998704,0.000020752208,0.000009092437,0.000029031358,0.000050791765,0.000019961448],"domain_scores_gemma":[0.9998165,0.000058534406,0.000049925613,0.000022243463,0.000040392762,0.0000124325525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039679225,0.0005047517,0.00041680472,0.0002230592,0.00038670376,0.00054863584,0.0006220218,0.0005893793,0.0007976427],"category_scores_gemma":[0.0008163541,0.0002616689,0.0003512755,0.00022097497,0.0005614076,0.00057424,0.0004850855,0.0004367466,0.00014974142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010758712,0.000040002727,0.00036036325,0.00009689662,0.000032786753,0.00016664864,0.00010578154,0.9093816,0.023173869,0.0093205245,0.00037134692,0.05684251],"study_design_scores_gemma":[0.000011382958,0.000071276605,0.0001321015,0.000005855959,0.000008482476,0.00002200237,0.0000049280197,0.99656904,0.0015318315,0.0011820454,0.00045441452,0.000006594004],"about_ca_topic_score_codex":0.0037619807,"about_ca_topic_score_gemma":0.003513084,"teacher_disagreement_score":0.0037619807,"about_ca_system_score_codex":0.00032033157,"about_ca_system_score_gemma":0.00040375954,"threshold_uncertainty_score":0.0074801445},"labels":[],"label_agreement":null},{"id":"W1580701759","doi":"10.1109/ccece.2015.7129464","title":"Rapid-prototyping of iterative learning control using MATLAB/Simlink hybrid-programming","year":2015,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"MATLAB; Iterative learning control; Testbed; Rapid prototyping; Computer science; Control engineering; Software prototyping; Control (management); Engineering; Artificial intelligence; Software; Software development; Programming language","score_opus":0.025396601611665116,"score_gpt":0.24720819685917106,"score_spread":0.22181159524750593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580701759","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007968986,0.000046254772,0.98098123,0.000030689327,0.000022343233,0.00010061606,0.000041105606,0.0044791875,0.006329524],"genre_scores_gemma":[0.29745293,0.0001610978,0.69380814,0.000048284975,0.000016154327,0.00058495183,0.00016646096,0.00083631097,0.006925573],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939644,0.00016959674,0.000032938053,0.00006959924,0.00028452996,0.000046988855],"domain_scores_gemma":[0.9988279,0.0006143294,0.000074168194,0.00015538515,0.00028906035,0.000039136074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094179634,0.00067722943,0.00036322165,0.00045478216,0.00031274313,0.0008112526,0.001088005,0.0004015633,0.010061597],"category_scores_gemma":[0.0018564032,0.00029414613,0.00039913453,0.00026511424,0.0004782207,0.0005612425,0.0008489806,0.00074078375,0.0015939098],"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":[0.0004515308,0.00027523653,0.0013713503,0.00096388784,0.00007887294,0.0006914148,0.0009829227,0.35802332,0.10067,0.053498585,0.0073465034,0.47564644],"study_design_scores_gemma":[0.00008889854,0.000381159,0.00047817326,0.00008484788,0.000021941903,0.00039615293,0.000069021175,0.858791,0.1016252,0.007950581,0.030063875,0.000049190185],"about_ca_topic_score_codex":0.0006271226,"about_ca_topic_score_gemma":0.00055002625,"teacher_disagreement_score":0.010061597,"about_ca_system_score_codex":0.00025660562,"about_ca_system_score_gemma":0.00059708377,"threshold_uncertainty_score":0.0336594},"labels":[],"label_agreement":null},{"id":"W1582915405","doi":"10.1109/robot.1995.525438","title":"Fuzzy logic controller for accurate positioning of direct-drive mechanism using force pulses","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Torque; Displacement (psychology); Encoder; Angular displacement; Fuzzy logic; Controller (irrigation); Nonlinear system; Mechanism (biology); Computer science; Fuzzy control system; Position (finance); Control engineering; Engineering; Physics; Acoustics; Artificial intelligence; Control (management)","score_opus":0.027322331150685712,"score_gpt":0.24166653203957436,"score_spread":0.21434420088888864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582915405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041950952,0.00048352007,0.953317,0.00007035272,0.0001014158,0.000076023454,0.000025372841,0.00065768947,0.003317678],"genre_scores_gemma":[0.9095385,0.00026760955,0.08690024,0.00006777982,0.00003660439,0.00010750085,0.000037900914,0.000015753489,0.0030280643],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984086,0.000014953072,0.000011033025,0.000031320324,0.00008758329,0.000014188872],"domain_scores_gemma":[0.9998702,0.00004119169,0.000024296145,0.000012988751,0.000044409135,0.0000068537875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022985338,0.0002996112,0.00023774496,0.00015853248,0.00019941837,0.00042459328,0.0005942499,0.0003579497,0.00082780304],"category_scores_gemma":[0.0006154789,0.00012814363,0.00015300582,0.00013153354,0.0002536468,0.00020963069,0.00022373804,0.00037487724,0.0002000312],"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":[0.00041291525,0.00015032342,0.00061172683,0.0004795065,0.00007143015,0.00047205694,0.00027285123,0.2864407,0.291699,0.01443556,0.0018712915,0.4030827],"study_design_scores_gemma":[0.00012000369,0.00045908455,0.00084840396,0.000028662127,0.0000373276,0.00023669611,0.000016694412,0.9475835,0.04335617,0.0024933552,0.0047902353,0.000029847188],"about_ca_topic_score_codex":0.0013801109,"about_ca_topic_score_gemma":0.0012358427,"teacher_disagreement_score":0.0013801109,"about_ca_system_score_codex":0.0002633026,"about_ca_system_score_gemma":0.00033544702,"threshold_uncertainty_score":0.0027692318},"labels":[],"label_agreement":null},{"id":"W1585418528","doi":"10.1002/cjce.22232","title":"High‐order data‐driven optimal TILC approach for fed‐batch processes","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative learning control; Control theory (sociology); Nonlinear system; Affine transformation; Linearization; Controller (irrigation); Computer science; Optimal control; Estimator; Feedback linearization; Function (biology); Mathematical optimization; Mathematics; Control (management); Artificial intelligence","score_opus":0.022178236293819587,"score_gpt":0.21091868277015155,"score_spread":0.18874044647633195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585418528","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012198592,0.00031679292,0.983487,0.00015289387,0.00006433498,0.00006329179,0.000042372314,0.00026219912,0.003412676],"genre_scores_gemma":[0.9150436,0.00034589475,0.078843474,0.00014374102,0.00005744584,0.0002868178,0.00015870265,0.000060395832,0.005059817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993979,0.000096690324,0.00004221824,0.00014944687,0.00023588305,0.00007787965],"domain_scores_gemma":[0.99916935,0.00028744488,0.0001246987,0.000055078366,0.00032975018,0.000033718374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012525432,0.0009654974,0.0012415514,0.00045528272,0.0006105897,0.0015025875,0.001526579,0.0010455622,0.0018667821],"category_scores_gemma":[0.0015866071,0.0005100554,0.0007637132,0.00048680007,0.0010336555,0.0007584351,0.0011634828,0.0013050585,0.0003321065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098268356,0.000047229776,0.00031022602,0.00014878093,0.000030992484,0.000070997594,0.00008991189,0.9595465,0.0038891528,0.008833684,0.00056869484,0.02636553],"study_design_scores_gemma":[0.000004891879,0.000022151851,0.000027435579,0.0000023192822,0.0000027059564,0.0000029261544,0.0000025351303,0.99849236,0.00059616065,0.0006402278,0.0002024228,0.000003840065],"about_ca_topic_score_codex":0.011826392,"about_ca_topic_score_gemma":0.0066947886,"teacher_disagreement_score":0.011826392,"about_ca_system_score_codex":0.001370775,"about_ca_system_score_gemma":0.0022540777,"threshold_uncertainty_score":0.023515105},"labels":[],"label_agreement":null},{"id":"W1606057541","doi":"10.15866/iremos.v6i2.2414","title":"Successive and Parallel Optimization of Linear Actuator Behaviors","year":2013,"lang":"en","type":"article","venue":"International Review on Modelling and Simulations (IREMOS)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Actuator; Parameterized complexity; Control theory (sociology); Thrust; Finite element method; Computer science; Linear actuator; Control engineering; Optimization problem; Control (management); Engineering; Algorithm; Mechanical engineering; Structural engineering","score_opus":0.016793965552525977,"score_gpt":0.2710319972870871,"score_spread":0.2542380317345611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606057541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05674116,0.00012563671,0.93600833,0.00007488407,0.000018678931,0.000059865284,0.000029055582,0.00025603137,0.006686383],"genre_scores_gemma":[0.8468143,0.0001309338,0.14822857,0.000040571576,0.000012228914,0.00029479922,0.00006455827,0.00006828388,0.004345843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997929,0.00005128608,0.000011691162,0.000042820324,0.00007329527,0.000028061213],"domain_scores_gemma":[0.99968386,0.0001631339,0.000050234856,0.00003821028,0.00004975616,0.000014699997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005469113,0.00069440244,0.00047099814,0.00028959097,0.00020254885,0.000591919,0.0006162484,0.000623728,0.0016558163],"category_scores_gemma":[0.0010525605,0.00032500393,0.0005372782,0.00023095793,0.00043081288,0.00039385783,0.00070260785,0.00044123965,0.00026069325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003123093,0.000021282882,0.0001839439,0.000047749134,0.000015611035,0.000025251235,0.00003575624,0.97789955,0.004206982,0.002816557,0.00011066815,0.014605494],"study_design_scores_gemma":[0.0000026513303,0.000029669023,0.000057407877,0.000002320073,0.0000031306877,0.0000062481477,0.0000044610806,0.99801207,0.00097401754,0.0007072096,0.00019874523,0.0000020632658],"about_ca_topic_score_codex":0.0015070309,"about_ca_topic_score_gemma":0.0013465367,"teacher_disagreement_score":0.0016558163,"about_ca_system_score_codex":0.00038924653,"about_ca_system_score_gemma":0.0006888256,"threshold_uncertainty_score":0.0055392385},"labels":[],"label_agreement":null},{"id":"W1608860245","doi":"10.1109/cca.1995.555795","title":"Experimental evaluation of a backlash inverter as applied to a servomotor with gear train","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backlash; Inverter; Servomotor; Control theory (sociology); Computer science; Scheme (mathematics); Engineering; Control (management); Control engineering; Mathematics; Electrical engineering; Voltage; Artificial intelligence","score_opus":0.02014100865376391,"score_gpt":0.22775374358260025,"score_spread":0.20761273492883633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608860245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859993,0.000068701745,0.012346406,0.00004234643,0.000026272543,0.00008555087,0.00007278792,0.00017648503,0.0011820847],"genre_scores_gemma":[0.9947255,0.00006307832,0.004290776,0.000008499995,0.0000050321055,0.000036294132,0.00004010768,0.0000113458655,0.0008193441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958605,0.00008825639,0.000045897945,0.00006574477,0.00015745906,0.00005669656],"domain_scores_gemma":[0.998618,0.0006560888,0.00015618381,0.00020596966,0.0002814219,0.000082341474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005690465,0.00045564648,0.00038841716,0.0003903541,0.00037880073,0.00035045063,0.0008030231,0.0007532825,0.0023229371],"category_scores_gemma":[0.0022165722,0.00025501783,0.00027746797,0.00025646327,0.00044726217,0.00046814885,0.0003786103,0.00043433232,0.00028282034],"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":[0.0014615214,0.0014739687,0.0021852218,0.0007164308,0.000051549694,0.00022970428,0.00068088574,0.017374173,0.94685745,0.00061950524,0.00016493228,0.028184611],"study_design_scores_gemma":[0.0002919817,0.020170713,0.0068094735,0.000031150004,0.00008292088,0.0002508057,0.00019298114,0.041545164,0.9284681,0.00023632347,0.001875835,0.00004457978],"about_ca_topic_score_codex":0.0009969714,"about_ca_topic_score_gemma":0.0008048394,"teacher_disagreement_score":0.0023229371,"about_ca_system_score_codex":0.00021530612,"about_ca_system_score_gemma":0.00022862852,"threshold_uncertainty_score":0.007771015},"labels":[],"label_agreement":null},{"id":"W1686172019","doi":"10.3390/a8030697","title":"Comparative Study of DE, PSO and GA for Position Domain PID Controller Tuning","year":2015,"lang":"en","type":"article","venue":"Algorithms","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Particle swarm optimization; Control theory (sociology); Position (finance); Computer science; Controller (irrigation); Nonlinear system; Differential evolution; Tracking (education); Premature convergence; Genetic algorithm; Convergence (economics); Domain (mathematical analysis); Evolutionary algorithm; Mathematics; Artificial intelligence; Algorithm; Control engineering; Engineering; Control (management); Machine learning","score_opus":0.026532161292259326,"score_gpt":0.2781023755583094,"score_spread":0.2515702142660501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1686172019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29619348,0.007700363,0.6701958,0.00035751626,0.00016526284,0.00016205989,0.00008493991,0.000998312,0.02414226],"genre_scores_gemma":[0.8689094,0.0021726731,0.12579988,0.000076171214,0.000033012046,0.00012668673,0.00009615022,0.000060551734,0.0027254727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995152,0.00010882243,0.00004339466,0.000072663366,0.0002145357,0.000045358876],"domain_scores_gemma":[0.999042,0.00056811236,0.000078202844,0.000070040165,0.00022030847,0.000021272856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011774522,0.00059655274,0.00068621064,0.00096790266,0.00028084242,0.0008243824,0.00049287203,0.00072825403,0.0006615922],"category_scores_gemma":[0.003304396,0.00019134827,0.00038923652,0.0006725582,0.00027821286,0.0006216597,0.00031715937,0.00048119357,0.00010856906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034962982,0.00016820998,0.004065526,0.00044055618,0.00017614878,0.00017946445,0.00013051312,0.64202267,0.013661662,0.008333167,0.00087434595,0.32959804],"study_design_scores_gemma":[0.000026725651,0.00016959036,0.0017775715,0.00002010484,0.000038320606,0.00009242513,0.00003787636,0.98905075,0.006432258,0.00074248936,0.0015956013,0.000016296106],"about_ca_topic_score_codex":0.0035142826,"about_ca_topic_score_gemma":0.0030404385,"teacher_disagreement_score":0.0035142826,"about_ca_system_score_codex":0.0003874872,"about_ca_system_score_gemma":0.00050516904,"threshold_uncertainty_score":0.006987691},"labels":[],"label_agreement":null},{"id":"W1733260092","doi":"10.1109/iccas.2010.5669655","title":"Dynamic tuning of PI-controllers based on model-free Reinforcement Learning methods","year":2010,"lang":"en","type":"article","venue":"ICCAS 2010","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reinforcement learning; Computer science; PID controller; Control theory (sociology); Reinforcement; Control engineering; Artificial intelligence; Control (management); Engineering; Temperature control","score_opus":0.009195943566280266,"score_gpt":0.26483398145145703,"score_spread":0.25563803788517675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1733260092","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027335405,0.0001988068,0.9666773,0.00008513471,0.000048472684,0.00012819147,0.00001428571,0.0014961669,0.004016226],"genre_scores_gemma":[0.8925443,0.000097799704,0.10526229,0.00006274816,0.000019752475,0.00027820794,0.000028776623,0.000058390295,0.0016477343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955183,0.00011606042,0.000030009463,0.00008801147,0.00016127784,0.00005267518],"domain_scores_gemma":[0.99893457,0.0005426595,0.00016596347,0.00008373444,0.0002379989,0.000034949975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011044339,0.0008747848,0.0007174351,0.00045003023,0.00037569995,0.00081137556,0.0010408697,0.0006626529,0.0013341194],"category_scores_gemma":[0.002784662,0.0003330428,0.00039744037,0.00023396578,0.00066758227,0.00044361746,0.0005529446,0.0011059885,0.00036377713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008828112,0.00011126093,0.00040851234,0.00010258923,0.00004357801,0.00005929893,0.00008701736,0.92034453,0.008566973,0.0030508009,0.00046155645,0.066675596],"study_design_scores_gemma":[0.000013560852,0.00003958946,0.000068379086,0.0000042343527,0.0000043665073,0.00000992665,0.0000024147607,0.997672,0.0016409289,0.00029345136,0.00024713296,0.0000039916995],"about_ca_topic_score_codex":0.0030974462,"about_ca_topic_score_gemma":0.0023807362,"teacher_disagreement_score":0.0030974462,"about_ca_system_score_codex":0.00056973955,"about_ca_system_score_gemma":0.00083945,"threshold_uncertainty_score":0.0061588287},"labels":[],"label_agreement":null},{"id":"W1890865631","doi":"10.1109/ccece.2000.849609","title":"Decomposition-based control of mechanical systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Decomposition; Control theory (sociology); Parametric statistics; Control engineering; Computer science; Mechanical system; Controller (irrigation); Robust control; PID controller; Robot; Control system; Physical system; Functional decomposition; Nonparametric statistics; Control (management); Artificial intelligence; Engineering; Mathematics; Machine learning; Temperature control","score_opus":0.007365874502786888,"score_gpt":0.20166106599076555,"score_spread":0.19429519148797866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890865631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016015136,0.00025949813,0.9965049,0.000038140282,0.000031238513,0.0000113747055,0.0000073800866,0.000080722886,0.0014652079],"genre_scores_gemma":[0.59886795,0.0017661666,0.39404675,0.00016440767,0.00017126242,0.00023698197,0.00014725946,0.00008946588,0.0045097633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995414,0.00012986615,0.000024810033,0.00008590262,0.00017909415,0.000039030023],"domain_scores_gemma":[0.99978274,0.00007590365,0.00003534493,0.000031873034,0.00005565562,0.00001845233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069480756,0.00083134085,0.000712807,0.00040376876,0.00029168525,0.0007215803,0.00059708976,0.00048596878,0.0015718724],"category_scores_gemma":[0.0009682803,0.00024163401,0.0005603082,0.0003591517,0.00072031916,0.0006030256,0.001085512,0.00093158893,0.00037321806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008512887,0.00004254587,0.00015590261,0.00029822162,0.00005217255,0.00006701203,0.00013313163,0.6690649,0.03132596,0.15654342,0.0015706125,0.14066099],"study_design_scores_gemma":[0.000012719123,0.00007477298,0.00007556546,0.00002307163,0.000008720775,0.000026398933,0.0000075583666,0.9659573,0.0020939864,0.026850158,0.004859167,0.000010508575],"about_ca_topic_score_codex":0.0011911007,"about_ca_topic_score_gemma":0.0008020607,"teacher_disagreement_score":0.0015718724,"about_ca_system_score_codex":0.00046046215,"about_ca_system_score_gemma":0.0005268511,"threshold_uncertainty_score":0.0052583814},"labels":[],"label_agreement":null},{"id":"W1891436498","doi":"10.1109/cca.1996.558962","title":"On-line optimization of RBF network feedforward compensation for load disturbance in idle speed control of automotive engine","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Feed forward; Control theory (sociology); Controller (irrigation); Nonlinear system; Parametric statistics; Computer science; Automotive engine; Control engineering; Compensation (psychology); Radial basis function; Adaptive control; Engineering; Artificial neural network; Automotive engineering; Control (management); Artificial intelligence; Mathematics","score_opus":0.012343952881371148,"score_gpt":0.21262290550464769,"score_spread":0.20027895262327655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891436498","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11651556,0.00021773114,0.88117784,0.00010839352,0.000023760404,0.000024173874,0.0000074487016,0.00016593677,0.0017591767],"genre_scores_gemma":[0.98193157,0.000073297706,0.017240914,0.000021351463,0.000010932439,0.000020217223,0.000008713308,0.000012728986,0.00068032066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.00006182916,0.0000071515415,0.000020492607,0.000052077048,0.000020399131],"domain_scores_gemma":[0.9997768,0.00009594514,0.00003806634,0.000012871802,0.00006943727,0.000006881636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053049333,0.0004362978,0.0004096774,0.00011951546,0.00017987873,0.00031961774,0.00041571684,0.0005816205,0.00039037623],"category_scores_gemma":[0.0011570327,0.00017478649,0.0001989343,0.00011078704,0.00030069548,0.00038502237,0.00025454245,0.00032265083,0.00008763962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012488103,0.00005250144,0.00041121602,0.0000669386,0.000022778448,0.00006125199,0.00005972967,0.92927086,0.014471298,0.0017753084,0.0002772544,0.05340595],"study_design_scores_gemma":[0.0000043046916,0.000032624474,0.00009568057,0.0000012261094,0.0000029421644,0.0000058386954,0.000002701355,0.998389,0.0012102298,0.00018628627,0.00006759064,0.0000016794864],"about_ca_topic_score_codex":0.0030283316,"about_ca_topic_score_gemma":0.0018715656,"teacher_disagreement_score":0.0030283316,"about_ca_system_score_codex":0.00027723183,"about_ca_system_score_gemma":0.00029419042,"threshold_uncertainty_score":0.00602144},"labels":[],"label_agreement":null},{"id":"W1919092661","doi":"10.24908/pceea.v0i0.4026","title":"A POSITION CONTROL DESIGN MODULE FOR THE CDEN FLEXIBLE CUT-OFF SAW PROJECT","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Work (physics); Process (computing); Position (finance); Servomotor; DC motor; Computer science; Servo; Control (management); Engineering design process; Systems engineering; Engineering; Control engineering; Mechanical engineering; Electrical engineering; Operating system","score_opus":0.014931081844495523,"score_gpt":0.20577425222259701,"score_spread":0.1908431703781015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919092661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059229624,0.00010683125,0.92363983,0.00012230393,0.00007813377,0.00074397837,0.00019685547,0.006968731,0.008913614],"genre_scores_gemma":[0.23307388,0.00013699432,0.73584604,0.00020637111,0.00003623562,0.0006602553,0.0008493132,0.0007647749,0.028426126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993443,0.00006231024,0.000025405392,0.0001154229,0.00040111545,0.000051533494],"domain_scores_gemma":[0.9994843,0.00010862155,0.000045066907,0.000119866854,0.00016601807,0.00007615662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090175297,0.0005406984,0.00036507804,0.00044442972,0.00031382672,0.00059238577,0.0011505602,0.0007496518,0.009355629],"category_scores_gemma":[0.001164063,0.00040398014,0.00025658507,0.000218459,0.000279682,0.00082821964,0.0006064585,0.0009881011,0.002698955],"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":[0.0004746878,0.00048740863,0.0021941168,0.0003484417,0.000032391585,0.00043641657,0.00043075212,0.0096239615,0.51876616,0.006197373,0.0051500793,0.4558581],"study_design_scores_gemma":[0.0003600118,0.0026991554,0.009577001,0.00009318695,0.000063372165,0.0017529568,0.00015649649,0.12815855,0.6701912,0.002574188,0.18425947,0.00011443197],"about_ca_topic_score_codex":0.00035806609,"about_ca_topic_score_gemma":0.0005229067,"teacher_disagreement_score":0.009355629,"about_ca_system_score_codex":0.00040479028,"about_ca_system_score_gemma":0.0007615228,"threshold_uncertainty_score":0.031297743},"labels":[],"label_agreement":null},{"id":"W1943814297","doi":"10.1109/cdc.1999.830249","title":"Exponential convergence of an iterative learning controller for time-varying nonlinear systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Iterative learning control; Nonlinear system; Convergence (economics); Exponential function; Control theory (sociology); Tracking error; Controller (irrigation); Computer science; Norm (philosophy); Exponential growth; Mathematics; Mathematical optimization; Applied mathematics; Artificial intelligence; Control (management); Mathematical analysis","score_opus":0.007808725655534347,"score_gpt":0.222280863197028,"score_spread":0.21447213754149366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1943814297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028691756,0.00023198951,0.96803045,0.00007814514,0.000021903901,0.000033750584,0.000006733041,0.00017566684,0.0027297286],"genre_scores_gemma":[0.93525773,0.0003181852,0.061573576,0.00006923543,0.000026363954,0.00012367814,0.000032727596,0.00004398187,0.0025544744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935275,0.0001473388,0.000047061065,0.00009974406,0.00029632324,0.00005686412],"domain_scores_gemma":[0.9973531,0.0015956969,0.00027555134,0.00015696131,0.0005776633,0.0000409255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017819835,0.00064448395,0.0005725215,0.00035779137,0.00033357853,0.00073583575,0.0007723696,0.0008813323,0.0011018022],"category_scores_gemma":[0.0071830004,0.00022706111,0.00033959709,0.00028631417,0.00091581314,0.00085002976,0.0008538158,0.000997599,0.0002361142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015921865,0.00006874684,0.00059968553,0.000229305,0.00006269711,0.00018816194,0.00038436736,0.8442052,0.0193637,0.03804902,0.00055158656,0.096138425],"study_design_scores_gemma":[0.000011520664,0.000066240726,0.000094283365,0.0000074300406,0.0000048049965,0.000034800214,0.000007536388,0.99403197,0.0024860075,0.0028396363,0.00040939773,0.000006401822],"about_ca_topic_score_codex":0.0018498041,"about_ca_topic_score_gemma":0.0008760068,"teacher_disagreement_score":0.0018498041,"about_ca_system_score_codex":0.00048726363,"about_ca_system_score_gemma":0.0007294324,"threshold_uncertainty_score":0.00942415},"labels":[],"label_agreement":null},{"id":"W1948852290","doi":"10.1002/acs.2292","title":"Asymptotic rejection of nonvanishing disturbances despite plant–model mismatch","year":2012,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Parametrization (atmospheric modeling); Control theory (sociology); Polynomial; Minification; Mathematics; Applied mathematics; Internal model; Adaptive control; Closed loop; Control (management); Computer science; Mathematical optimization; Engineering; Control engineering; Mathematical analysis; Physics; Artificial intelligence","score_opus":0.010780961956213081,"score_gpt":0.22108526255406308,"score_spread":0.21030430059785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948852290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026484706,0.00012144538,0.9712195,0.00004164116,0.000037293234,0.000016553762,0.000005212768,0.00040854662,0.001665205],"genre_scores_gemma":[0.9603924,0.000073197734,0.03753855,0.00004665559,0.000028842915,0.000027776423,0.000019526666,0.00004148384,0.001831597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938846,0.00009932275,0.00003190662,0.00010507574,0.00031891096,0.000056319048],"domain_scores_gemma":[0.9988432,0.00037105926,0.00021833263,0.0002467668,0.00028572022,0.000034838497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073164946,0.000510167,0.0005559053,0.00030866778,0.00020243495,0.0006430789,0.0006896043,0.00049859384,0.0010616062],"category_scores_gemma":[0.0026565038,0.00017713368,0.00040282513,0.00016226413,0.0005367474,0.00041080234,0.0008762472,0.00082766183,0.00026750145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048484872,0.000115735515,0.0010362712,0.00040890876,0.00009103758,0.00048163932,0.00032856793,0.3929338,0.27467775,0.025142822,0.000934721,0.30336398],"study_design_scores_gemma":[0.000033949476,0.00029330107,0.0006950456,0.000016565056,0.0000153777,0.00014583433,0.000019040006,0.9556291,0.035307012,0.006196505,0.0016307859,0.000017476743],"about_ca_topic_score_codex":0.0006901319,"about_ca_topic_score_gemma":0.00049222715,"teacher_disagreement_score":0.0010616062,"about_ca_system_score_codex":0.00022155682,"about_ca_system_score_gemma":0.00037528723,"threshold_uncertainty_score":0.0038693547},"labels":[],"label_agreement":null},{"id":"W1964764829","doi":"10.1109/nafips.2010.5548200","title":"An application of a neuro-fuzzy inference system for pattern classification of HDD defect distribution","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Inference system; Artificial intelligence; Computer science; Pattern recognition (psychology); Neuro-fuzzy; Fuzzy inference system; Inference; Machine learning; Fuzzy logic; Fuzzy control system; Data mining","score_opus":0.008674061522437987,"score_gpt":0.24297780064852778,"score_spread":0.2343037391260898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964764829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07947643,0.0005411083,0.9138156,0.00023132554,0.00018486922,0.00013193095,0.00014560482,0.0014122918,0.004060786],"genre_scores_gemma":[0.76774585,0.00032615577,0.22858289,0.000080490216,0.00003983487,0.00010377519,0.00014136109,0.000023139768,0.0029564549],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997739,0.00003285432,0.000018928951,0.0000614844,0.00009653807,0.000016218499],"domain_scores_gemma":[0.99969554,0.00011417206,0.000022300133,0.000026116739,0.0001316846,0.000010216018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043443084,0.0003350753,0.00040093256,0.0003722042,0.00031221224,0.00047645796,0.00043137258,0.0005776577,0.0010473088],"category_scores_gemma":[0.0012849688,0.00015328063,0.00028848537,0.00038652666,0.00022051025,0.00035807956,0.0001712223,0.00039533447,0.00026188703],"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":[0.00042924908,0.00016571199,0.003758808,0.0003212086,0.00009172001,0.0006207421,0.00027467354,0.11009373,0.10857506,0.003228635,0.0022958207,0.77014464],"study_design_scores_gemma":[0.00002235299,0.00016883232,0.0031999953,0.000028357414,0.000040776304,0.00026072096,0.000039594786,0.96914923,0.023173006,0.0013038161,0.002590076,0.000023304516],"about_ca_topic_score_codex":0.0038246014,"about_ca_topic_score_gemma":0.00307712,"teacher_disagreement_score":0.0038246014,"about_ca_system_score_codex":0.00028312302,"about_ca_system_score_gemma":0.00035374367,"threshold_uncertainty_score":0.0076046586},"labels":[],"label_agreement":null},{"id":"W1967297682","doi":"10.1109/cca.2014.6981407","title":"Robust control of synchromesh friction in an electric vehicle's clutchless automated manual transmission","year":2014,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Synchronizer; Clutch; Powertrain; PID controller; Controller (irrigation); Synchronization (alternating current); Control theory (sociology); Manual transmission; Robust control; Transmission (telecommunications); Control system; Computer science; Control engineering; Automotive engineering; Noise (video); Engineering; Torque; Control (management); Electrical engineering; Telecommunications; Artificial intelligence","score_opus":0.006080707459538802,"score_gpt":0.21136332373193023,"score_spread":0.20528261627239142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967297682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44705158,0.0003176782,0.5459926,0.00015141658,0.00005130524,0.00005398729,0.000035798457,0.0004770445,0.0058685034],"genre_scores_gemma":[0.9973827,0.000032433454,0.0020125299,0.000005412313,0.000004337165,0.000010763063,0.0000054489856,0.0000055721857,0.00054083456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997453,0.000047627786,0.000013339726,0.000058226706,0.00009389353,0.00004153092],"domain_scores_gemma":[0.9995586,0.00017463726,0.00015772783,0.000026280248,0.00006690869,0.000015717666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036787245,0.00043964424,0.00041219787,0.00019584941,0.00027974838,0.0007549267,0.00047420454,0.0003420633,0.00066389976],"category_scores_gemma":[0.0009977635,0.00018914575,0.00026283757,0.00015527125,0.00041815423,0.0002336156,0.0005179158,0.00033068637,0.00009235215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004490276,0.00010621329,0.0010797931,0.00023868315,0.000062009225,0.00028267576,0.00030136484,0.8885701,0.055711593,0.005757922,0.0005087169,0.046931997],"study_design_scores_gemma":[0.000033100594,0.00033851652,0.00082567777,0.0000072174785,0.000015497004,0.000033453773,0.000027748069,0.9919584,0.0057735452,0.000465756,0.0005124836,0.000008636988],"about_ca_topic_score_codex":0.0035027112,"about_ca_topic_score_gemma":0.002779114,"teacher_disagreement_score":0.0035027112,"about_ca_system_score_codex":0.0003210525,"about_ca_system_score_gemma":0.0004183402,"threshold_uncertainty_score":0.006964624},"labels":[],"label_agreement":null},{"id":"W1967538980","doi":"10.1109/icca.2013.6564888","title":"Contour tracking control for multi-DOF robotic manipulators","year":2013,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Tracking (education); Computer science; Control theory (sociology); Domain (mathematical analysis); Motion control; Motion (physics); Artificial intelligence; Tracking error; Computer vision; Time domain; Robot; Control (management); Mathematics","score_opus":0.025841549366782922,"score_gpt":0.24197910814318088,"score_spread":0.21613755877639795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967538980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018159784,0.0002731169,0.9798624,0.000044843695,0.00004385233,0.000015780788,0.0000070869646,0.00014504742,0.0014479754],"genre_scores_gemma":[0.82593864,0.000523769,0.16887689,0.00006584654,0.000047112822,0.000079865116,0.000045261062,0.000024873068,0.0043978314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984753,0.000021339647,0.0000082845645,0.0000418648,0.00007139245,0.000009542625],"domain_scores_gemma":[0.9998473,0.0000432986,0.000038447386,0.000019923806,0.000041805706,0.000009139285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027429615,0.00032526618,0.00026234836,0.00022958923,0.00022108687,0.00030659483,0.00052369956,0.00035455398,0.000829027],"category_scores_gemma":[0.00045574602,0.00013583801,0.00024504826,0.00022447629,0.0004020914,0.0004385522,0.00034529963,0.00042703302,0.00014521435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019812415,0.00007969702,0.0007741045,0.00029798114,0.00004740572,0.00033594188,0.0003054633,0.5312776,0.1560662,0.024125276,0.0011290842,0.28536305],"study_design_scores_gemma":[0.00002057703,0.00018096663,0.00033847117,0.000009656768,0.000006885787,0.00009778826,0.000009978664,0.9858241,0.00848462,0.0020695599,0.002946078,0.0000114305285],"about_ca_topic_score_codex":0.00081704016,"about_ca_topic_score_gemma":0.00070105644,"teacher_disagreement_score":0.000829027,"about_ca_system_score_codex":0.000283412,"about_ca_system_score_gemma":0.00025169933,"threshold_uncertainty_score":0.0027734041},"labels":[],"label_agreement":null},{"id":"W1970132662","doi":"10.1155/2008/641847","title":"Adaptive Output Tracking of Driven Oscillators","year":2008,"lang":"en","type":"article","venue":"Journal of Control Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Tracking error; Convergence (economics); Tracking (education); Nonlinear system; Lyapunov stability; Adaptive control; Stability (learning theory); Lyapunov function; Computer science; Mathematics; Control (management); Artificial intelligence; Physics","score_opus":0.009653345690206368,"score_gpt":0.1883728180310899,"score_spread":0.17871947234088353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970132662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08487282,0.0002601916,0.9099782,0.00011784326,0.00006369456,0.000031451,0.000025857664,0.00027307973,0.0043769185],"genre_scores_gemma":[0.9582786,0.00020229472,0.03763501,0.00004513732,0.000024943747,0.00006816364,0.000034604123,0.00001905594,0.0036923264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985445,0.00003586964,0.000006818631,0.00004024142,0.00004765061,0.0000149221205],"domain_scores_gemma":[0.99969447,0.00013902696,0.00006214682,0.000026658423,0.00006368415,0.00001418919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031917557,0.00030223714,0.00033924697,0.00019428447,0.00020043537,0.00035836286,0.0005460753,0.00052421045,0.00073540705],"category_scores_gemma":[0.0013616554,0.00019434524,0.0002672809,0.00019420168,0.00032843612,0.0002631146,0.00057030836,0.0003664477,0.0001460428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009899792,0.00004632145,0.000853871,0.00009656972,0.000053976906,0.00020974217,0.00020245096,0.8637999,0.04698261,0.022200711,0.00046459454,0.06499029],"study_design_scores_gemma":[0.000008205384,0.000026636504,0.000105360974,0.000002606968,0.000002657942,0.000013462098,0.0000029539158,0.9963599,0.0012112735,0.0018866436,0.00037628083,0.0000040726886],"about_ca_topic_score_codex":0.0015358501,"about_ca_topic_score_gemma":0.0008796335,"teacher_disagreement_score":0.0015358501,"about_ca_system_score_codex":0.00030277358,"about_ca_system_score_gemma":0.0002858306,"threshold_uncertainty_score":0.0030537844},"labels":[],"label_agreement":null},{"id":"W1970185915","doi":"10.1080/14689360310001609968","title":"A centre-manifold analysis of variable speed machining","year":2003,"lang":"en","type":"article","venue":"Dynamical Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Center manifold; Nonlinear system; Delay differential equation; Stability (learning theory); Control theory (sociology); Mathematics; Manifold (fluid mechanics); Mathematical analysis; Eigenvalues and eigenvectors; Differential equation; Variable (mathematics); Differential (mechanical device); Equations of motion; Machining; Applied mathematics; Computer science; Engineering; Physics; Classical mechanics; Mechanical engineering; Hopf bifurcation","score_opus":0.004471909247988295,"score_gpt":0.19178107824871402,"score_spread":0.18730916900072572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970185915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34077528,0.00070340384,0.6481041,0.0002047674,0.00005091055,0.00003479776,0.000034450164,0.00011299889,0.009979338],"genre_scores_gemma":[0.9742434,0.00022557024,0.022744797,0.000013230709,0.000021659213,0.00001883753,0.000023497045,0.0000169469,0.0026921239],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991107,0.00002466628,0.0000027306767,0.00001621271,0.000035861445,0.000009447282],"domain_scores_gemma":[0.99984515,0.000039763876,0.000036322042,0.000015149974,0.00005087954,0.000012633361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020696048,0.0003029113,0.0002795764,0.00033528364,0.00024801955,0.0003569628,0.0004459777,0.0004258164,0.0012248696],"category_scores_gemma":[0.0006508593,0.00010948061,0.00036350256,0.00014732033,0.0007795313,0.00055842113,0.00043778634,0.00042690706,0.00016630783],"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":[0.00009058301,0.00005764548,0.0017278214,0.00019454218,0.000046999583,0.00048472907,0.0008412045,0.4336869,0.08082726,0.44062227,0.0010907111,0.040329386],"study_design_scores_gemma":[0.0000046667406,0.000068031775,0.0007435962,0.0000068563227,0.0000055860814,0.000108928354,0.000054350727,0.9502814,0.003494666,0.043238413,0.001979848,0.00001363194],"about_ca_topic_score_codex":0.0012964642,"about_ca_topic_score_gemma":0.00049553,"teacher_disagreement_score":0.0012964642,"about_ca_system_score_codex":0.00034851886,"about_ca_system_score_gemma":0.00026295762,"threshold_uncertainty_score":0.0040976405},"labels":[],"label_agreement":null},{"id":"W1970259930","doi":"10.1002/cjce.5450830227","title":"Multivariable Optimal Learning Control of Wafer Temperatures in a Commercial RTP Equipment","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariable calculus; Materials science; Temperature control; Wafer; Model predictive control; Computer science; Optoelectronics; Mechanical engineering; Engineering; Artificial intelligence; Control engineering; Control (management)","score_opus":0.006415434083341921,"score_gpt":0.1796336262921588,"score_spread":0.17321819220881687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970259930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30525732,0.00018769459,0.69101566,0.00012164999,0.00002491861,0.00008053865,0.00004154767,0.0008166917,0.0024540345],"genre_scores_gemma":[0.9605729,0.000051603256,0.038551502,0.000013091705,0.0000048205993,0.000050377927,0.000023039765,0.000012270309,0.0007204842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968636,0.000047521804,0.000011232781,0.00009299758,0.00012694919,0.000035032364],"domain_scores_gemma":[0.9997391,0.00010065322,0.0000563667,0.000024278717,0.000069809794,0.00000968673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044928287,0.0003763061,0.0002762282,0.000104414066,0.00018552074,0.00034990598,0.00044969702,0.00030738945,0.0005561875],"category_scores_gemma":[0.0006293035,0.00015323942,0.00021639462,0.00015419538,0.0002680989,0.00022255063,0.00027030284,0.0003953748,0.00008738651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028956414,0.00017818938,0.0015512997,0.00025215631,0.00002994506,0.00011821846,0.00020974406,0.5056911,0.34483597,0.0015533176,0.00041368997,0.1448768],"study_design_scores_gemma":[0.000027720827,0.00039263573,0.0012734288,0.0000036807487,0.000009711513,0.00003244799,0.000015691916,0.9426508,0.054682154,0.0002496341,0.00065224984,0.000009953844],"about_ca_topic_score_codex":0.0023418262,"about_ca_topic_score_gemma":0.0019971451,"teacher_disagreement_score":0.0023418262,"about_ca_system_score_codex":0.0003410412,"about_ca_system_score_gemma":0.0004599517,"threshold_uncertainty_score":0.0046563745},"labels":[],"label_agreement":null},{"id":"W1970796842","doi":"10.1109/med.2014.6961416","title":"Design of Fuzzy Terminal Iterative Learning Control based on internal model control","year":2014,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Fuzzy control system; Control theory (sociology); Iterative learning control; Fuzzy logic; Computer science; Defuzzification; Neuro-fuzzy; Controller (irrigation); Interpolation (computer graphics); Adaptive neuro fuzzy inference system; Process (computing); Terminal (telecommunication); Control engineering; Mathematical optimization; Fuzzy number; Control (management); Mathematics; Artificial intelligence; Fuzzy set; Engineering","score_opus":0.007965282117141115,"score_gpt":0.20838963740756702,"score_spread":0.2004243552904259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970796842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006829211,0.00007545639,0.9898136,0.00004510775,0.000029826519,0.00004650422,0.0000067922074,0.00019582239,0.0029576817],"genre_scores_gemma":[0.8038199,0.0002019015,0.1919928,0.00010783391,0.000038365048,0.00032263075,0.000056077894,0.00004925127,0.0034113324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953926,0.00008086713,0.00002492847,0.000108058826,0.00019265406,0.000054257875],"domain_scores_gemma":[0.9996427,0.00010017783,0.00005029491,0.000027343878,0.00015588968,0.00002360438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008874612,0.00049468904,0.000582204,0.00044768417,0.00043563076,0.0008980968,0.0012306056,0.00083195267,0.0015253861],"category_scores_gemma":[0.0014299796,0.00022593555,0.000503143,0.00032526586,0.000722772,0.000532073,0.00065616553,0.0006937347,0.00031941122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012311668,0.00010036806,0.0006944874,0.00020372361,0.00005647336,0.00014047019,0.00026263166,0.7542543,0.019651696,0.03456911,0.0014941847,0.1884494],"study_design_scores_gemma":[0.000010050102,0.00006182021,0.000072568815,0.0000074753566,0.0000060156526,0.000018508692,0.000005218481,0.9954454,0.002004091,0.0013009892,0.0010599905,0.000007962198],"about_ca_topic_score_codex":0.002466129,"about_ca_topic_score_gemma":0.0015938372,"teacher_disagreement_score":0.002466129,"about_ca_system_score_codex":0.00064089854,"about_ca_system_score_gemma":0.0009058158,"threshold_uncertainty_score":0.005102873},"labels":[],"label_agreement":null},{"id":"W1970936586","doi":"10.1016/j.ijmachtools.2014.09.002","title":"A new approach to contour error control in high speed machining","year":2014,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Traverse; Machining; Interpolation (computer graphics); Machine tool; Controller (irrigation); Software; Process (computing); Computer science; Engineering; Numerical control; Table (database); Control engineering; Mechanical engineering","score_opus":0.008235111171242973,"score_gpt":0.23395335815053347,"score_spread":0.2257182469792905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970936586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027529763,0.00012837657,0.9958936,0.000034599805,0.000056000095,0.000013169025,0.000003051499,0.000053860003,0.0010643479],"genre_scores_gemma":[0.51816756,0.0007017183,0.46759817,0.0001828311,0.00025420843,0.00015101414,0.000033467117,0.00013614605,0.01277484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995628,0.00008022143,0.000023602674,0.00007901009,0.00023113212,0.000023240558],"domain_scores_gemma":[0.9995159,0.00018741045,0.00004417046,0.000052534226,0.00017890523,0.000021168415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006486588,0.00063666585,0.0007108428,0.00046414582,0.00045413448,0.001043908,0.0014574592,0.0010246295,0.0020821781],"category_scores_gemma":[0.0013165446,0.0003743955,0.0005402798,0.0004888782,0.0009594155,0.0010363493,0.0011366783,0.0011500288,0.00033183367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001713614,0.00015594838,0.00039846898,0.00026748193,0.00009656303,0.00012094531,0.0002469933,0.5920303,0.041652128,0.08002531,0.0012729508,0.28356153],"study_design_scores_gemma":[0.0000077214945,0.000051635423,0.000051106712,0.0000042937063,0.0000058290852,0.000015609978,0.0000036750469,0.9932916,0.0015505201,0.0041272286,0.00088456407,0.0000061914216],"about_ca_topic_score_codex":0.002132282,"about_ca_topic_score_gemma":0.0023291416,"teacher_disagreement_score":0.002132282,"about_ca_system_score_codex":0.00047612566,"about_ca_system_score_gemma":0.00050902524,"threshold_uncertainty_score":0.0069655776},"labels":[],"label_agreement":null},{"id":"W1974572723","doi":"10.1007/s12541-015-0105-2","title":"Precision control and compensation of helical gear hobbing via electronic gearbox Cross-Coupling controller","year":2015,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"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":"Environment and Climate Change Canada; National Natural Science Foundation of China","keywords":"Hobbing; Compensation (psychology); Controller (irrigation); Coupling (piping); Control theory (sociology); Process (computing); Engineering; Computer science; Control engineering; Control (management); Mechanical engineering; Machining; Artificial intelligence","score_opus":0.007207115587045366,"score_gpt":0.2401152323253974,"score_spread":0.23290811673835202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974572723","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34528255,0.0004396912,0.64228064,0.000112196714,0.00019966578,0.000092263035,0.000032263568,0.0006111212,0.010949588],"genre_scores_gemma":[0.9914527,0.000044636643,0.0072774887,0.0000121106705,0.000008218078,0.000015877904,0.000008497906,0.000005796981,0.0011746212],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998197,0.000021164897,0.000012574958,0.000046257446,0.000073558156,0.00002675389],"domain_scores_gemma":[0.9997919,0.000041536103,0.00004018958,0.000026721733,0.00008875793,0.000010840196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030854187,0.0003181882,0.0003134909,0.00030262928,0.00047740448,0.0004073898,0.0004454485,0.00032145155,0.00165255],"category_scores_gemma":[0.000438701,0.00014969887,0.00017604546,0.00024078747,0.00024021167,0.00024186014,0.00036644805,0.00018088955,0.00020746846],"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":[0.0013473913,0.00022947794,0.0037573306,0.00054779765,0.00010426096,0.00050811504,0.00054907176,0.20673624,0.5003742,0.0118822465,0.0019715761,0.2719923],"study_design_scores_gemma":[0.00008329,0.0005723308,0.0054574828,0.000030863328,0.000057082627,0.00021120321,0.000063530206,0.89071095,0.098744735,0.0011648538,0.002873109,0.000030512054],"about_ca_topic_score_codex":0.0012295207,"about_ca_topic_score_gemma":0.0017102641,"teacher_disagreement_score":0.00165255,"about_ca_system_score_codex":0.0001810293,"about_ca_system_score_gemma":0.00031002413,"threshold_uncertainty_score":0.005528271},"labels":[],"label_agreement":null},{"id":"W1979055287","doi":"10.2316/journal.201.2007.1.201-1596","title":"MULTIRATE CONTROLLER FOR DUAL ACTUATED SERVOMECHANISM IN HARD DISK DRIVE","year":2007,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Voice coil; Servomechanism; Actuator; Controller (irrigation); Bandwidth (computing); Dual (grammatical number); Engineering; Control engineering; Computer science; Electromagnetic coil; Control (management)","score_opus":0.012521099476141856,"score_gpt":0.22792083529970572,"score_spread":0.21539973582356386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979055287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13981779,0.0013926188,0.84941316,0.0001458049,0.0004417643,0.00007985914,0.000060511753,0.0010667441,0.007581714],"genre_scores_gemma":[0.9528776,0.00025484856,0.041498672,0.000051966235,0.00006155784,0.000052436928,0.000036990976,0.000023715284,0.0051423493],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999808,0.000022521166,0.000014922366,0.000033882447,0.00009571308,0.000025054906],"domain_scores_gemma":[0.9997563,0.00004301423,0.000051375548,0.00003701296,0.00008933852,0.000022959306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033234563,0.00033307486,0.00036314165,0.0003291822,0.00035213484,0.000614092,0.00068075676,0.00028918596,0.0020522196],"category_scores_gemma":[0.0007070909,0.00015870051,0.00017115538,0.00013707163,0.00017359016,0.00039580057,0.00050479884,0.0004234752,0.00040898047],"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":[0.0019232086,0.0002603002,0.0019163758,0.0007822412,0.00007870335,0.00046692492,0.00043948772,0.10785376,0.3929287,0.020093989,0.004116007,0.46914026],"study_design_scores_gemma":[0.000109737695,0.0006361972,0.0019129158,0.000064494845,0.00004235395,0.00037880757,0.000040937324,0.9185032,0.067021474,0.0022970627,0.008945816,0.00004697616],"about_ca_topic_score_codex":0.0008895798,"about_ca_topic_score_gemma":0.0013556934,"teacher_disagreement_score":0.0020522196,"about_ca_system_score_codex":0.00018862831,"about_ca_system_score_gemma":0.00028199723,"threshold_uncertainty_score":0.0068653226},"labels":[],"label_agreement":null},{"id":"W1980820954","doi":"10.1049/ip-gtd:20030779","title":"Online estimation of steady state and instantaneous symmetrical components","year":2003,"lang":"en","type":"article","venue":"IEE Proceedings - Generation Transmission and Distribution","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Simplicity; Computer science; Software; Control theory (sociology); Steady state (chemistry); Electronic engineering; Algorithm; Engineering; Artificial intelligence","score_opus":0.014474453011582959,"score_gpt":0.22495679004386446,"score_spread":0.2104823370322815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980820954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006014138,0.000042084786,0.9926615,0.000015994574,0.000014787838,0.000012065764,0.000028013184,0.00039481156,0.0008166238],"genre_scores_gemma":[0.46657887,0.0002039795,0.52912533,0.00004890375,0.000042606516,0.000081219434,0.00023857164,0.00012904011,0.0035514713],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970716,0.000038694903,0.000017833323,0.000057958998,0.00015432242,0.000023892815],"domain_scores_gemma":[0.9994562,0.00017163692,0.00007994534,0.000086987246,0.00018337302,0.000021886483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035664713,0.0004972784,0.0006034698,0.0008117305,0.00025931248,0.000700624,0.00067455746,0.0004712615,0.0022648436],"category_scores_gemma":[0.0019172718,0.00031153046,0.00023790392,0.00047067006,0.00031857032,0.0010140946,0.0005321905,0.00072795677,0.0009653483],"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":[0.00020915054,0.00010128494,0.001961369,0.00015225302,0.000043031356,0.00009261327,0.00008785565,0.09615276,0.0808582,0.012160475,0.002098265,0.8060829],"study_design_scores_gemma":[0.000021596152,0.00009847357,0.002017587,0.000020368356,0.000020185502,0.0002026123,0.000025216239,0.93997675,0.046937276,0.0072983224,0.0033453307,0.000036306643],"about_ca_topic_score_codex":0.0006543629,"about_ca_topic_score_gemma":0.001155614,"teacher_disagreement_score":0.0022648436,"about_ca_system_score_codex":0.00026213235,"about_ca_system_score_gemma":0.00056800526,"threshold_uncertainty_score":0.007576704},"labels":[],"label_agreement":null},{"id":"W1983507314","doi":"10.1017/s0263574713000842","title":"Dynamic modeling and control design for a parallel-mechanism-based meso-milling machine tool","year":2013,"lang":"en","type":"article","venue":"Robotica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Control engineering; Machine tool; Computer science; Mechanism (biology); Controller (irrigation); Control theory (sociology); Control (management); Design methods; Engineering; Artificial intelligence; Mechanical engineering","score_opus":0.01021029329657209,"score_gpt":0.2040499549308884,"score_spread":0.19383966163431632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983507314","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016658995,0.00009639579,0.9787629,0.000093978066,0.000018330556,0.000045063614,0.000036922604,0.00020598902,0.0040814467],"genre_scores_gemma":[0.8910782,0.00018576106,0.104347415,0.00003501506,0.000014148413,0.00020368268,0.000073102536,0.00002760536,0.0040350677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997998,0.000031515134,0.000008831261,0.0000411263,0.00010104925,0.000017697956],"domain_scores_gemma":[0.9998368,0.00003357322,0.000052454856,0.000022308262,0.00004577419,0.000009079438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004665333,0.00035659512,0.00041127627,0.00026413787,0.0002728358,0.00051255216,0.00083703693,0.00054624287,0.0021017774],"category_scores_gemma":[0.00034894623,0.0003078182,0.00045251253,0.00018198359,0.0004051771,0.0003364238,0.0004916912,0.0005627225,0.00044827885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003272686,0.000014369,0.0001901672,0.00005883777,0.000011751752,0.00006179008,0.000027359261,0.9625669,0.015821993,0.005762804,0.00018190581,0.015269328],"study_design_scores_gemma":[0.000007769215,0.00003993782,0.00009457713,0.0000041164985,0.000003410413,0.000013820686,0.0000042824654,0.99687815,0.0013907991,0.0006339189,0.00092573755,0.0000034959965],"about_ca_topic_score_codex":0.0020699834,"about_ca_topic_score_gemma":0.0016572366,"teacher_disagreement_score":0.0021017774,"about_ca_system_score_codex":0.0003921655,"about_ca_system_score_gemma":0.00082993833,"threshold_uncertainty_score":0.0070311427},"labels":[],"label_agreement":null},{"id":"W1983872221","doi":"10.1109/iros.2013.6696350","title":"Visual teach and repeat, repeat, repeat: Iterative Learning Control to improve mobile robot path tracking in challenging outdoor environments","year":2013,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Iterative learning control; Terrain; Mobile robot; Controller (irrigation); Computer science; Path (computing); Robot; Tracking (education); Global Positioning System; Feed forward; Control theory (sociology); Motion planning; Computer vision; Artificial intelligence; Engineering; Control engineering; Control (management); Geography","score_opus":0.003893079973030413,"score_gpt":0.21654927452612655,"score_spread":0.21265619455309615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983872221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0331327,0.00008381123,0.96307313,0.000050855513,0.000024761253,0.000044385615,0.000007944018,0.0012717996,0.002310608],"genre_scores_gemma":[0.8041087,0.000077502606,0.1918779,0.00008581235,0.00002453981,0.00008588677,0.000036660404,0.00013497076,0.0035679971],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998184,0.00002820547,0.000007363747,0.000041847972,0.00008084853,0.000023346567],"domain_scores_gemma":[0.999572,0.00016204765,0.00007112042,0.000049406095,0.000117883064,0.000027592363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040114668,0.00049177505,0.00027729291,0.00028283356,0.00026228157,0.00036735972,0.00093717076,0.0003327254,0.001176037],"category_scores_gemma":[0.0011861078,0.00015251581,0.00019888084,0.00016895792,0.00046289558,0.00044456046,0.00053036795,0.0005404135,0.00027638022],"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":[0.00018945168,0.0002405088,0.0012634238,0.00015681416,0.000056249843,0.00015116077,0.00046439952,0.4269638,0.067276046,0.004235438,0.0018882776,0.49711436],"study_design_scores_gemma":[0.000027550963,0.00026972502,0.00042981497,0.0000074532995,0.000011634658,0.000049477607,0.000019248646,0.9834086,0.013301633,0.00086896546,0.0015934111,0.00001249559],"about_ca_topic_score_codex":0.002848383,"about_ca_topic_score_gemma":0.0039946623,"teacher_disagreement_score":0.002848383,"about_ca_system_score_codex":0.0002923367,"about_ca_system_score_gemma":0.0004583863,"threshold_uncertainty_score":0.0056636333},"labels":[],"label_agreement":null},{"id":"W1984091852","doi":"10.1016/s0005-1098(03)00022-0","title":"Two-dimensional loop shaping","year":2003,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Honeywell (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Constructive; Controller (irrigation); Actuator; Control engineering; Basis (linear algebra); Computer science; Control theory (sociology); Distributed control system; Loop (graph theory); Software; Field (mathematics); Feedback loop; Distributed parameter system; Distributed computing; Engineering; Control (management); Mathematics; Process (computing)","score_opus":0.012452769804577978,"score_gpt":0.23038167069602242,"score_spread":0.21792890089144443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984091852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011112839,0.00012411634,0.9693786,0.00018970948,0.00013102837,0.000026507927,0.000033532753,0.0005574325,0.018446267],"genre_scores_gemma":[0.8296894,0.00033870823,0.12431203,0.0003562765,0.00008470553,0.00014543874,0.00013406099,0.00012634008,0.04481303],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99981886,0.000030103025,0.000007493778,0.00003969433,0.00008821114,0.000015689824],"domain_scores_gemma":[0.99978584,0.00006797067,0.000018903811,0.000059142993,0.000049192193,0.000018865847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018349513,0.00045046973,0.00036192924,0.00019216628,0.00030678956,0.0009062406,0.00032997903,0.00071311544,0.0065355366],"category_scores_gemma":[0.0008863739,0.0001682071,0.00026711635,0.0002305654,0.0005227213,0.0006410201,0.0011468158,0.0006269559,0.0012682411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045439776,0.0001393818,0.0005627126,0.0002501316,0.000053838034,0.00021706353,0.00035710336,0.24379295,0.11437142,0.2759902,0.005655015,0.35815576],"study_design_scores_gemma":[0.00004559207,0.00015536994,0.00036631065,0.000020257869,0.000014635093,0.00018554623,0.00003431746,0.8970711,0.028663328,0.056891117,0.016510818,0.00004152853],"about_ca_topic_score_codex":0.00033137342,"about_ca_topic_score_gemma":0.00030408258,"teacher_disagreement_score":0.0065355366,"about_ca_system_score_codex":0.00022801917,"about_ca_system_score_gemma":0.0003110218,"threshold_uncertainty_score":0.02186352},"labels":[],"label_agreement":null},{"id":"W1984533098","doi":"10.1115/1.3123335","title":"Modeling and Control of Contouring Errors for Five-Axis Machine Tools—Part I: Modeling","year":2009,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Contouring; Kinematics; Translation (biology); Machine tool; Orientation (vector space); Computer science; Numerical control; Trajectory; Simulation; Engineering; Geometry; Mathematics; Mechanical engineering; Physics; Computer graphics (images)","score_opus":0.01130638905091179,"score_gpt":0.21520922595743383,"score_spread":0.20390283690652203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984533098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06604427,0.0002060311,0.9315308,0.00006383982,0.000019477548,0.0000340123,0.000025420695,0.00025279474,0.0018234059],"genre_scores_gemma":[0.97808313,0.00010542056,0.020569215,0.000010019265,0.000005082371,0.000048146117,0.000028033826,0.000027023087,0.0011238395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950504,0.00008321061,0.000039269828,0.000090286194,0.00023988562,0.00004233938],"domain_scores_gemma":[0.99929893,0.00022901066,0.00021367038,0.000083595565,0.00015782841,0.000016865224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008325291,0.0005982555,0.00049213495,0.0003349105,0.00023895783,0.0008205801,0.00079761114,0.0006051585,0.000570257],"category_scores_gemma":[0.0013953416,0.00029769412,0.0004759677,0.00026857655,0.0006745112,0.00058925623,0.0005071307,0.00051647826,0.00012465872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027405784,0.000012684137,0.00035129968,0.000027438211,0.000009913173,0.000024953559,0.000050517396,0.98573893,0.003793829,0.0016557699,0.000059130536,0.008248001],"study_design_scores_gemma":[0.0000024159942,0.000017594753,0.00013595077,0.0000023588962,0.00000214549,0.0000055241044,0.0000026091036,0.9984397,0.0010434558,0.00022810436,0.00011749882,0.0000026712976],"about_ca_topic_score_codex":0.008223597,"about_ca_topic_score_gemma":0.002976003,"teacher_disagreement_score":0.008223597,"about_ca_system_score_codex":0.0005454523,"about_ca_system_score_gemma":0.0006431515,"threshold_uncertainty_score":0.016351461},"labels":[],"label_agreement":null},{"id":"W1985727293","doi":"10.2316/journal.201.2004.2.201-1318","title":"Intelligent Learning Controllers for Nonlinear Systems using Radial Basis Neural Networks","year":2004,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nonlinear system; Artificial neural network; Computer science; Basis (linear algebra); Control theory (sociology); Artificial intelligence; Radial basis function; Control engineering; Mathematics; Engineering; Control (management); Physics","score_opus":0.01617720317475397,"score_gpt":0.23172943385282957,"score_spread":0.2155522306780756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985727293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004164897,0.0005948228,0.9922976,0.000071395785,0.000048952337,0.000034461293,0.000007034613,0.000593682,0.0021872367],"genre_scores_gemma":[0.6061098,0.0020103375,0.38235074,0.0001826333,0.00018829094,0.0004009819,0.00011147511,0.00012183533,0.008523878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995689,0.0000880458,0.00003582791,0.00007718236,0.00020040115,0.000029654353],"domain_scores_gemma":[0.9995183,0.00016292918,0.00008591063,0.00005817962,0.00016183755,0.000012875717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007629956,0.00077795814,0.00063285785,0.00042922198,0.00037279082,0.0008098002,0.00093307777,0.00094824756,0.0013019199],"category_scores_gemma":[0.001844768,0.0002450417,0.00044062326,0.00044753743,0.0006574334,0.00096814195,0.00053303223,0.0010221067,0.0005436466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009336205,0.00008600514,0.00033837187,0.00023213569,0.000064533226,0.00012679244,0.00015749912,0.61101526,0.020290721,0.032499775,0.0022416306,0.332854],"study_design_scores_gemma":[0.000012391132,0.000043121625,0.000099786506,0.00001190762,0.0000098201,0.000032218282,0.000004794048,0.990013,0.0030800332,0.004630683,0.0020489807,0.000013271729],"about_ca_topic_score_codex":0.002679656,"about_ca_topic_score_gemma":0.0021394326,"teacher_disagreement_score":0.002679656,"about_ca_system_score_codex":0.00043856306,"about_ca_system_score_gemma":0.0005301294,"threshold_uncertainty_score":0.005328119},"labels":[],"label_agreement":null},{"id":"W1990181972","doi":"10.1016/j.conengprac.2012.02.001","title":"Adaptive control of a continuously variable transmission subject to wear","year":2012,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Control theory (sociology); Continuously variable transmission; Nonlinear system; Transmission (telecommunications); Controller (irrigation); Variable (mathematics); Linearization; Stability (learning theory); Artificial neural network; Engineering; Control engineering; Adaptation (eye); Computer science; Control (management); Mathematics; Artificial intelligence","score_opus":0.005111395896394186,"score_gpt":0.2057253864199422,"score_spread":0.200613990523548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990181972","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22963005,0.00048336474,0.7583166,0.00073155225,0.0003473536,0.00007314989,0.000061865896,0.0002609791,0.010095143],"genre_scores_gemma":[0.9866171,0.00018497408,0.0061566983,0.000031750686,0.000046153687,0.000031626994,0.000016912281,0.000022319233,0.00689269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976903,0.00007640044,0.000009855834,0.0000594967,0.000058850103,0.000026338728],"domain_scores_gemma":[0.99928373,0.0004066499,0.00009117002,0.000041312655,0.00014463703,0.000032634005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000628365,0.0006002714,0.00065540953,0.00031489908,0.00053440727,0.0009710644,0.00086552807,0.0014169166,0.0021436512],"category_scores_gemma":[0.002163982,0.00026655232,0.0003645581,0.00029054287,0.001352932,0.0005365719,0.0008369962,0.00080891955,0.00015396427],"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":[0.00047167565,0.00010478117,0.00096219755,0.000408363,0.0000787391,0.00089163514,0.00067321735,0.9016265,0.036650836,0.022303106,0.0013194735,0.0345094],"study_design_scores_gemma":[0.000020548374,0.0001373148,0.00037850408,0.000008431764,0.000013970848,0.000056744106,0.00003196105,0.9969831,0.00087383867,0.0011095838,0.00037897326,0.0000070610395],"about_ca_topic_score_codex":0.0061514145,"about_ca_topic_score_gemma":0.0027630527,"teacher_disagreement_score":0.0061514145,"about_ca_system_score_codex":0.00035481263,"about_ca_system_score_gemma":0.00048376512,"threshold_uncertainty_score":0.012231231},"labels":[],"label_agreement":null},{"id":"W1990479381","doi":"10.1109/acc.2010.5531585","title":"Adaptive fuzzy sliding mode control design for laser metal deposition","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Sliding mode control; Robustness (evolution); Fuzzy logic; Adaptive control; Computer science; Fuzzy control system; Control engineering; Robust control; Control system; Engineering; Nonlinear system; Control (management); Artificial intelligence","score_opus":0.013102662357076297,"score_gpt":0.22438123161562123,"score_spread":0.21127856925854493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990479381","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017315317,0.0003813804,0.9784774,0.00009510889,0.00011365416,0.000040978484,0.000012019616,0.00024063663,0.003323569],"genre_scores_gemma":[0.9052014,0.0004037424,0.08957035,0.00008573706,0.00006535707,0.00015300851,0.000040961982,0.00001695252,0.00446242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982136,0.000027961938,0.000011800715,0.000043650216,0.00007954866,0.000015780577],"domain_scores_gemma":[0.99987245,0.000033434113,0.00001905022,0.000009481721,0.000058384696,0.000007152402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003188581,0.00034137574,0.00027203787,0.00018124659,0.0002285374,0.00041552313,0.00057446054,0.0005205795,0.0011447956],"category_scores_gemma":[0.00049424625,0.00014728802,0.00028502595,0.00018836536,0.00031443167,0.00026760806,0.00028951728,0.00049584947,0.00017722255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027317644,0.00010380426,0.0007022556,0.00041651176,0.000070395734,0.0002515367,0.00036779264,0.55411196,0.09852313,0.020312356,0.0021963452,0.32267073],"study_design_scores_gemma":[0.000022094155,0.00016184105,0.00021120496,0.000008617716,0.000009428421,0.0000288818,0.000010235849,0.9915447,0.004847304,0.0009574044,0.0021910954,0.000007174906],"about_ca_topic_score_codex":0.00252259,"about_ca_topic_score_gemma":0.0018132671,"teacher_disagreement_score":0.00252259,"about_ca_system_score_codex":0.00026525636,"about_ca_system_score_gemma":0.0004324808,"threshold_uncertainty_score":0.0050157905},"labels":[],"label_agreement":null},{"id":"W1990845467","doi":"10.1115/1.3125887","title":"Hybrid Modeling of Ball Screw Drives With Coupled Axial, Torsional, and Lateral Dynamics","year":2009,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ball screw; Vibration; Ball (mathematics); Finite element method; Structural engineering; Torque; Coupling (piping); Engineering; Kinematics; Mechanism (biology); Torsional vibration; Torsion (gastropod); Mechanical engineering; Control theory (sociology); Computer science; Physics; Acoustics; Classical mechanics; Nut","score_opus":0.01117842199135568,"score_gpt":0.2088978157716311,"score_spread":0.19771939378027542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990845467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08201662,0.00023515729,0.9111073,0.000068724534,0.00003203293,0.00005191946,0.000084244995,0.0003094364,0.0060944343],"genre_scores_gemma":[0.95399415,0.00023509053,0.040148403,0.00002639341,0.000012135324,0.00014806003,0.000088356406,0.00003240568,0.0053149285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998005,0.000045504683,0.0000156692,0.000032220545,0.000089686924,0.0000165139],"domain_scores_gemma":[0.99981934,0.000069786314,0.000032459127,0.000020900185,0.000047762132,0.000009815394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164375,0.00040000354,0.00052473537,0.0003079773,0.0002570187,0.0007457546,0.0010892987,0.0007411887,0.0015560278],"category_scores_gemma":[0.00048052045,0.00032689047,0.0004970597,0.0002147925,0.00048892765,0.0007543654,0.00054271054,0.0003407443,0.00038050849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006065276,0.000026278243,0.00073552865,0.000052067506,0.00002053357,0.000086207016,0.00010756533,0.9760835,0.007511642,0.0058214883,0.0001493317,0.0093453135],"study_design_scores_gemma":[0.0000034245477,0.000021424887,0.000075567004,0.0000023551997,0.0000028267434,0.000011575994,0.000006991662,0.9984193,0.00057063904,0.0005122378,0.0003712219,0.0000024413412],"about_ca_topic_score_codex":0.0033856235,"about_ca_topic_score_gemma":0.0027133683,"teacher_disagreement_score":0.0033856235,"about_ca_system_score_codex":0.0002753623,"about_ca_system_score_gemma":0.00041140922,"threshold_uncertainty_score":0.006731868},"labels":[],"label_agreement":null},{"id":"W1991234588","doi":"10.1115/dscc2010-4039","title":"Tracking Control of Flexible Ball Screw Drives With Runout Effect Compensation","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ball screw; Control theory (sociology); Ball (mathematics); Machining; Machine tool; Tracking error; Computer science; Control engineering; Tracking (education); Engineering; Mechanical engineering; Artificial intelligence; Mathematics; Control (management)","score_opus":0.003296461131668663,"score_gpt":0.19756613753356006,"score_spread":0.19426967640189138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991234588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15831359,0.0004933197,0.8361659,0.000116991025,0.00007517125,0.00007037395,0.000042300686,0.0007162128,0.0040061595],"genre_scores_gemma":[0.9909883,0.00008400474,0.008027226,0.000009881545,0.000006287865,0.000024249175,0.000015336147,0.000008589108,0.0008361251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997602,0.000043665033,0.000016584998,0.00005439376,0.000098266006,0.00002678459],"domain_scores_gemma":[0.9996598,0.00010327494,0.0001076609,0.000025729905,0.00008634237,0.000017264785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048668825,0.00050686416,0.00036855417,0.00022255487,0.00031642636,0.0006417784,0.0005717016,0.00034275305,0.00052776455],"category_scores_gemma":[0.00079079944,0.00019471785,0.0002616085,0.00024874872,0.0005098602,0.0003249209,0.00032618284,0.00037953162,0.0001330772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063578977,0.00011653522,0.0011149204,0.00029967594,0.00007309961,0.00023569875,0.00039491075,0.7871743,0.07964308,0.008756382,0.0009620779,0.120593436],"study_design_scores_gemma":[0.00003740883,0.00026985345,0.00054790685,0.000008638109,0.000010721244,0.000032436514,0.000013851713,0.98867756,0.008603843,0.0009911315,0.0007936802,0.000012920283],"about_ca_topic_score_codex":0.004166873,"about_ca_topic_score_gemma":0.0033270717,"teacher_disagreement_score":0.004166873,"about_ca_system_score_codex":0.00036345527,"about_ca_system_score_gemma":0.00039227077,"threshold_uncertainty_score":0.008285224},"labels":[],"label_agreement":null},{"id":"W1991340728","doi":"10.1109/icma.2007.4303718","title":"Sliding-Mode Observer Based Adaptive Control for Servo Actuator with Friction","year":2007,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Actuator; Observer (physics); State observer; Servomotor; Servomechanism; Compensation (psychology); Controller (irrigation); Dynamical friction; Sliding mode control; Servo; Friction torque; Computer science; Adaptive control; Torque; Mode (computer interface); Control engineering; Engineering; Control (management); Nonlinear system; Artificial intelligence; Materials science; Physics","score_opus":0.010693217590031525,"score_gpt":0.2186156526359353,"score_spread":0.20792243504590377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991340728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018360566,0.0005458604,0.97868514,0.000052674382,0.00009928028,0.000021698614,0.000011865619,0.0006413401,0.0015815584],"genre_scores_gemma":[0.9424351,0.00047076517,0.052962724,0.000052507705,0.000047475227,0.000071504786,0.00006575505,0.000031546184,0.0038626143],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998104,0.000024318895,0.000013848429,0.00003244064,0.00009967874,0.000019426267],"domain_scores_gemma":[0.99976224,0.00006935909,0.000038386155,0.000024567184,0.00009576741,0.000009681467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028275643,0.00031815877,0.00040830384,0.00016163671,0.00017483899,0.00035476917,0.0007171521,0.0004088113,0.00075551757],"category_scores_gemma":[0.00070258847,0.00016161961,0.00028305364,0.00016441011,0.00027271695,0.00040617312,0.00026871896,0.00058761943,0.00019851707],"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":[0.0006172828,0.00015786872,0.0023761531,0.0006969401,0.0001824797,0.0005522228,0.0004857109,0.33819094,0.23530835,0.024372205,0.0042826966,0.39277717],"study_design_scores_gemma":[0.00003544895,0.00016085124,0.00067560794,0.000009773242,0.000019573932,0.000066650675,0.000011051418,0.9854101,0.009393656,0.00075395464,0.0034515366,0.000011800422],"about_ca_topic_score_codex":0.0026738453,"about_ca_topic_score_gemma":0.0026155196,"teacher_disagreement_score":0.0026738453,"about_ca_system_score_codex":0.00026987845,"about_ca_system_score_gemma":0.00034861275,"threshold_uncertainty_score":0.005316615},"labels":[],"label_agreement":null},{"id":"W1992250505","doi":"10.1016/j.cirp.2009.03.045","title":"Dynamic stiffness enhancement of direct-driven machine tools using sliding mode control with disturbance recovery","year":2009,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Sliding mode control; Bandwidth (computing); Stiffness; Linear motor; Disturbance (geology); Controller (irrigation); Engineering; Machine tool; Control engineering; Computer science; Control (management); Nonlinear system; Structural engineering; Physics; Mechanical engineering; Artificial intelligence","score_opus":0.01634825091425931,"score_gpt":0.2590745574551314,"score_spread":0.2427263065408721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992250505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17410046,0.00047410539,0.8157183,0.00010799257,0.00008423144,0.000041247928,0.00002045585,0.0005667382,0.008886603],"genre_scores_gemma":[0.9673807,0.00009285108,0.03002798,0.000014572635,0.000011442371,0.00001545288,0.000014439648,0.000026744476,0.0024158238],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998274,0.000029079985,0.000008307419,0.000024959852,0.000093549614,0.00001664409],"domain_scores_gemma":[0.99957937,0.00016311715,0.000049841754,0.000085673695,0.00010396199,0.000018107834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671311,0.00035097005,0.00032357528,0.00027453815,0.00019980893,0.00044580916,0.00045842564,0.00030996648,0.002049046],"category_scores_gemma":[0.0008219449,0.00017767416,0.00019741699,0.00019816737,0.00035477406,0.0006093433,0.0006841267,0.0002692855,0.00026919926],"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":[0.0007967014,0.00022183293,0.0010333062,0.0005764586,0.000048258873,0.00027700467,0.0002435831,0.21216595,0.44269556,0.007835352,0.0008744901,0.3332315],"study_design_scores_gemma":[0.000046254787,0.0007040094,0.0014567797,0.000024488869,0.00002654133,0.00021685666,0.000048867932,0.8949307,0.09659248,0.002337579,0.0035849118,0.000030509345],"about_ca_topic_score_codex":0.0002774037,"about_ca_topic_score_gemma":0.00051356986,"teacher_disagreement_score":0.002049046,"about_ca_system_score_codex":0.00010942299,"about_ca_system_score_gemma":0.00018396796,"threshold_uncertainty_score":0.0068547726},"labels":[],"label_agreement":null},{"id":"W1994736107","doi":"10.1016/j.cirpj.2014.05.001","title":"Modeling and active damping of structural vibrations in machine tools","year":2014,"lang":"en","type":"article","venue":"CIRP journal of manufacturing science and technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vibration; Control theory (sociology); Bandwidth (computing); Machine tool; Vibration control; Engineering; Servomechanism; Control engineering; Controller (irrigation); Servomotor; Active vibration control; Computer science; Control (management); Physics; Mechanical engineering; Acoustics; Artificial intelligence","score_opus":0.007240650223422633,"score_gpt":0.21943202343809412,"score_spread":0.2121913732146715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994736107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15636139,0.0003483353,0.83815473,0.00016201213,0.000046162975,0.000021998805,0.000025058673,0.00015704641,0.0047231545],"genre_scores_gemma":[0.9897926,0.000102561455,0.0076529775,0.000010955997,0.000012537344,0.000016723403,0.000012523889,0.000020578065,0.0023785587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998821,0.00003629499,0.000004937834,0.000021620826,0.000040146584,0.0000149171265],"domain_scores_gemma":[0.9996668,0.00022626146,0.000035719007,0.000020438358,0.00003715762,0.000013534939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027834738,0.00043887546,0.00032333905,0.00026316955,0.00024640898,0.0005779317,0.0007590312,0.0008952922,0.0010190197],"category_scores_gemma":[0.0011384267,0.000304762,0.00038123285,0.00017522971,0.0005654247,0.00065851636,0.00035849237,0.0005000057,0.00017283307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003283587,0.000033661516,0.00034699176,0.00002962849,0.00000840528,0.00003084462,0.000057854737,0.9823215,0.0050913217,0.004075713,0.00009284107,0.007878381],"study_design_scores_gemma":[0.0000012590209,0.0000050183735,0.00006153418,0.0000011646906,7.4348077e-7,0.00000297533,0.0000035667308,0.9991596,0.00018331352,0.0005340355,0.0000459674,8.7566275e-7],"about_ca_topic_score_codex":0.0040369,"about_ca_topic_score_gemma":0.0031058532,"teacher_disagreement_score":0.0040369,"about_ca_system_score_codex":0.0002637146,"about_ca_system_score_gemma":0.00028740734,"threshold_uncertainty_score":0.008026838},"labels":[],"label_agreement":null},{"id":"W1996722754","doi":"10.1080/00207720902957244","title":"Effects of network communications on a class of learning controlled non-linear systems†","year":2009,"lang":"en","type":"article","venue":"International Journal of Systems Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Yanshan University","keywords":"Iterative learning control; Convergence (economics); Lipschitz continuity; Computer science; Packet loss; Controller (irrigation); Network packet; Control theory (sociology); Focus (optics); Trajectory; Telecommunications network; Class (philosophy); Transmission (telecommunications); Transmission delay; Control (management); Mathematics; Artificial intelligence; Computer network; Telecommunications","score_opus":0.008126752437568247,"score_gpt":0.2655676783941012,"score_spread":0.257440925956533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996722754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29047096,0.00039809407,0.700303,0.00037622394,0.00007413409,0.000074077136,0.00004309062,0.00021571423,0.008044713],"genre_scores_gemma":[0.99251336,0.00010038181,0.0057855607,0.000020978936,0.000013141234,0.000036864294,0.000016708153,0.000007230944,0.0015058062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995677,0.00011236596,0.000017271363,0.0000836324,0.00016308973,0.000055940545],"domain_scores_gemma":[0.9986265,0.0007919884,0.00023541703,0.00008031522,0.00022863448,0.00003713892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006001559,0.00037511752,0.00030880788,0.00027282853,0.00048442365,0.0005898673,0.00046676147,0.0005627853,0.0012920401],"category_scores_gemma":[0.0023037493,0.00011848885,0.00021709912,0.00024036955,0.0008723575,0.00061877206,0.0005050592,0.00069099246,0.00008325331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012943443,0.000048302823,0.0014080565,0.00009373101,0.000028017343,0.00035653482,0.0001713544,0.9474803,0.0058925194,0.023127519,0.00042350197,0.020840747],"study_design_scores_gemma":[0.0000061868195,0.000041795996,0.00022474762,0.0000026178486,0.0000042234,0.000029777613,0.000010254179,0.9962119,0.0013073668,0.0018950255,0.00026275506,0.0000032785583],"about_ca_topic_score_codex":0.0031140181,"about_ca_topic_score_gemma":0.0015319284,"teacher_disagreement_score":0.0031140181,"about_ca_system_score_codex":0.0006913834,"about_ca_system_score_gemma":0.00042926965,"threshold_uncertainty_score":0.00619179},"labels":[],"label_agreement":null},{"id":"W1996885322","doi":"10.1016/s0890-6955(01)00003-7","title":"High speed CNC system design. Part II: modeling and identification of feed drives","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":241,"is_retracted":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); Inertia; Engineering; Compensation (psychology); Kalman filter; Contouring; Machine tool; System identification; Torque; Control engineering; Feed forward; Dynamical friction; Identification (biology); Computer science; Mechanical engineering; Control (management); Engineering drawing","score_opus":0.01206187526423761,"score_gpt":0.22794411856363558,"score_spread":0.21588224329939798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996885322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011628001,0.0013872901,0.97164357,0.00016865392,0.00010984907,0.00034638584,0.00021347766,0.0009912105,0.013511564],"genre_scores_gemma":[0.7671486,0.0021768317,0.19913658,0.000106797794,0.00006406294,0.00092927314,0.00075844995,0.00027759856,0.029401777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996356,0.000056876197,0.000015370511,0.00005239531,0.00021640591,0.000023335755],"domain_scores_gemma":[0.9997695,0.000061107676,0.000025255766,0.000028435059,0.00010808186,0.0000075360563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005412535,0.0007244263,0.0005511511,0.00049229077,0.0005013922,0.00090795534,0.0010272954,0.0010415596,0.0056565893],"category_scores_gemma":[0.00095633767,0.0004843338,0.0003324987,0.0004227631,0.00038939944,0.0006897476,0.00041118354,0.0006388866,0.0015874812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001702281,0.00007373066,0.0009253583,0.00091526954,0.00005091102,0.00017862086,0.00021742625,0.75256264,0.036556788,0.012556413,0.005602456,0.19019009],"study_design_scores_gemma":[0.000028538709,0.00012582913,0.0010293354,0.00005632034,0.000023065728,0.00013761077,0.000027832131,0.96076065,0.015864564,0.0022656873,0.019661503,0.000019051822],"about_ca_topic_score_codex":0.009959506,"about_ca_topic_score_gemma":0.009817467,"teacher_disagreement_score":0.009959506,"about_ca_system_score_codex":0.0010697219,"about_ca_system_score_gemma":0.0016073029,"threshold_uncertainty_score":0.019803107},"labels":[],"label_agreement":null},{"id":"W1998173386","doi":"10.1109/tac.2008.919568","title":"Finite-Time Parameter Estimation in Adaptive Control of Nonlinear Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":219,"is_retracted":false,"has_abstract":true,"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); Robustness (evolution); Estimation theory; Nonlinear system; Computation; Bounded function; Perturbation (astronomy); Identifier; Convergence (economics); Adaptive control; Mathematics; Robust control; Computer science; Applied mathematics; Mathematical optimization; Algorithm; Control (management); Mathematical analysis","score_opus":0.0103961289365995,"score_gpt":0.21270326280727364,"score_spread":0.20230713387067414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998173386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067080236,0.0010553177,0.9904066,0.00012692425,0.00007210047,0.000010952041,0.000006927215,0.00020873871,0.0014044171],"genre_scores_gemma":[0.74134564,0.0022502828,0.24911919,0.00015402432,0.000295845,0.00014901423,0.00006812421,0.00011956103,0.0064982204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995384,0.00016588952,0.000026766318,0.00007225624,0.0001800815,0.000016594657],"domain_scores_gemma":[0.99924684,0.00053530344,0.000050015937,0.000078548765,0.000078235884,0.000011098769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070854154,0.00039822693,0.0004613795,0.0002877846,0.00020952678,0.00077762234,0.0005287197,0.0007005796,0.0010072667],"category_scores_gemma":[0.0031181031,0.00020949125,0.00026487827,0.00039882417,0.0008445462,0.00057349715,0.0004200201,0.0009782289,0.0002805042],"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":[0.0001845294,0.000040922285,0.00037704973,0.00020864267,0.000064870066,0.00023313527,0.00025255457,0.6347049,0.020764183,0.1081682,0.0015317267,0.23346929],"study_design_scores_gemma":[0.000006687905,0.000026434713,0.00006440618,0.000010491312,0.000003805007,0.000023140032,0.000005535809,0.9868051,0.0015657875,0.01016948,0.0013121248,0.0000070197284],"about_ca_topic_score_codex":0.0023208207,"about_ca_topic_score_gemma":0.0015344847,"teacher_disagreement_score":0.0023208207,"about_ca_system_score_codex":0.00038175567,"about_ca_system_score_gemma":0.00034233718,"threshold_uncertainty_score":0.004614651},"labels":[],"label_agreement":null},{"id":"W1998283715","doi":"10.1115/dscc2008-2255","title":"Design and Control of a Shape Memory Alloy Actuated Robotic Catheter","year":2008,"lang":"en","type":"article","venue":"ASME 2008 Dynamic Systems and Control Conference, Parts A and B","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health","keywords":"SMA*; Shape-memory alloy; PID controller; Actuator; Computer science; Control theory (sociology); Controller (irrigation); Open-loop controller; Tracking (education); Catheter; Control system; Control engineering; Artificial intelligence; Engineering; Control (management); Closed loop; Temperature control","score_opus":0.012821514441524767,"score_gpt":0.1956246838840211,"score_spread":0.18280316944249633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998283715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042403124,0.00052324554,0.9496976,0.00016648375,0.00012893842,0.00011975615,0.000027870266,0.0005564944,0.0063764323],"genre_scores_gemma":[0.8166438,0.00033255454,0.17518316,0.000119705146,0.00004565538,0.00022539526,0.000032743857,0.00002954445,0.0073874937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997285,0.00003289374,0.00001637935,0.000071548064,0.00013136043,0.000019332418],"domain_scores_gemma":[0.9998054,0.000041065745,0.00004953536,0.000014600972,0.00007341533,0.000016010023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035746,0.00031245968,0.00027747592,0.00014660117,0.00023495968,0.00044053092,0.0007782985,0.00067213597,0.00081969926],"category_scores_gemma":[0.0005169104,0.00024950213,0.00020623088,0.00010065831,0.00034794107,0.0002714746,0.00034835725,0.00032618907,0.00023284128],"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":[0.0002532943,0.00010446275,0.0008001722,0.00034764808,0.000066657834,0.00050099054,0.0001806003,0.45886162,0.37906018,0.0061882925,0.0009907441,0.15264529],"study_design_scores_gemma":[0.000036228634,0.0003632031,0.0006819427,0.000018959136,0.00002349183,0.00019107296,0.000010744109,0.9611933,0.0321936,0.00056071836,0.004705472,0.000021228163],"about_ca_topic_score_codex":0.0014225682,"about_ca_topic_score_gemma":0.0012500397,"teacher_disagreement_score":0.0014225682,"about_ca_system_score_codex":0.00036815155,"about_ca_system_score_gemma":0.00055969943,"threshold_uncertainty_score":0.002828598},"labels":[],"label_agreement":null},{"id":"W1998433008","doi":"10.1016/j.conengprac.2005.04.013","title":"Adaptive iterative learning control for robot manipulators: Experimental results","year":2005,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Iterative method; Robot; Term (time); Computer science; Robot manipulator; Control (management); Mathematics; Artificial intelligence; Control engineering; Engineering; Algorithm","score_opus":0.010966980906630723,"score_gpt":0.2438806303474012,"score_spread":0.23291364944077048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998433008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7389618,0.0015767936,0.24735925,0.00021408519,0.0000961432,0.00037804843,0.00011480704,0.0014096104,0.00988949],"genre_scores_gemma":[0.9540383,0.00035319128,0.04129451,0.000030303123,0.000021256894,0.00021157844,0.00010816887,0.00007351987,0.0038690518],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909484,0.00025040677,0.000063550244,0.00010629476,0.0003909346,0.00009392045],"domain_scores_gemma":[0.99536043,0.0023724544,0.00043467217,0.0007351497,0.00095809804,0.00013916321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015819902,0.0009634138,0.00090356177,0.0006408243,0.0008411334,0.00056651735,0.0013275904,0.0013520541,0.0045170086],"category_scores_gemma":[0.004151234,0.000509662,0.00042768242,0.0006258651,0.0014727869,0.0010534413,0.00085097266,0.0008704035,0.0005597974],"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":[0.003473337,0.005556228,0.0018340187,0.0017733413,0.00027491295,0.0003610001,0.0015139779,0.3081213,0.43898892,0.004442834,0.0013651997,0.23229487],"study_design_scores_gemma":[0.0009813191,0.01380411,0.005104515,0.0000789273,0.0001912641,0.0002802998,0.00026159763,0.7401635,0.23340423,0.0030337046,0.002565713,0.00013090183],"about_ca_topic_score_codex":0.0034746693,"about_ca_topic_score_gemma":0.001957956,"teacher_disagreement_score":0.0045170086,"about_ca_system_score_codex":0.00039245794,"about_ca_system_score_gemma":0.0005188509,"threshold_uncertainty_score":0.01511091},"labels":[],"label_agreement":null},{"id":"W1998835410","doi":"10.1115/1.1592812","title":"Analysis of Electromagnetic Nonlinearities in Stage Control of a Stepper Motor and Spool Valve","year":2003,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Control theory (sociology); Stepper; Saturation (graph theory); Hysteresis; Switched reluctance motor; Torque; Rotor (electric); Electromagnetic coil; Engineering; Control engineering; Computer science; Mathematics; Materials science; Physics; Mechanical engineering; Control (management)","score_opus":0.005875133640079661,"score_gpt":0.19280843520213384,"score_spread":0.18693330156205418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998835410","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46326825,0.00044993963,0.51323754,0.00022887168,0.00004412227,0.00015083219,0.00006642248,0.00032326137,0.022230675],"genre_scores_gemma":[0.9939567,0.0000755319,0.0037669118,0.00000945783,0.0000034167956,0.00002450413,0.00000928466,0.000010604324,0.0021434529],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998629,0.000025377763,0.000005214576,0.000018354991,0.00006952416,0.000018636078],"domain_scores_gemma":[0.99962306,0.0002319202,0.000052370324,0.000018509583,0.000064462256,0.000009672036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031633436,0.0002619125,0.0003017569,0.00021389817,0.00024648488,0.00035279713,0.00032203898,0.00040084333,0.0014571263],"category_scores_gemma":[0.0011110657,0.00018524287,0.00029158182,0.00011156742,0.00045735948,0.00043322187,0.00018614197,0.0003770005,0.0001237463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017443782,0.00008505759,0.0021592614,0.00017079982,0.00004278078,0.00037051036,0.00039589702,0.90469384,0.053805485,0.018618504,0.0003582534,0.019125156],"study_design_scores_gemma":[0.0000023087118,0.000027903796,0.00033389736,0.0000017759946,0.0000022969273,0.00001335122,0.000007290499,0.99758065,0.0015558666,0.0003072975,0.0001648023,0.0000025284955],"about_ca_topic_score_codex":0.004143854,"about_ca_topic_score_gemma":0.002276464,"teacher_disagreement_score":0.004143854,"about_ca_system_score_codex":0.00056861766,"about_ca_system_score_gemma":0.00033691345,"threshold_uncertainty_score":0.008239508},"labels":[],"label_agreement":null},{"id":"W1999616806","doi":"10.1016/j.cirp.2007.05.087","title":"Compensation of Axial Vibrations in Ball Screw Drives","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ball screw; Traverse; Control theory (sociology); Vibration; Ball (mathematics); Machine tool; Acceleration; Compensation (psychology); Engineering; Machining; Actuator; Feed forward; Mechanical engineering; Computer science; Control engineering; Physics; Acoustics; Mathematics; Classical mechanics; Control (management); Artificial intelligence","score_opus":0.02125947710246132,"score_gpt":0.26927174272142085,"score_spread":0.24801226561895953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999616806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15346338,0.00079278665,0.83721435,0.00025734626,0.00014688508,0.00002978766,0.000018914301,0.0003334896,0.007743032],"genre_scores_gemma":[0.9776177,0.0001464478,0.019315753,0.000023681412,0.000025365945,0.000012356328,0.000014183876,0.000020570413,0.0028239135],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997873,0.000053354936,0.000008661464,0.00002495345,0.00010484076,0.000020889987],"domain_scores_gemma":[0.9996623,0.00015203856,0.000047104248,0.000022605971,0.00009980903,0.00001617378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002859898,0.00029500158,0.0002773532,0.00019516321,0.00024762424,0.00039698312,0.00032053931,0.0004607824,0.0012580875],"category_scores_gemma":[0.0016091282,0.00011821349,0.000116652074,0.00020154037,0.00031446974,0.00025422015,0.00031656938,0.0002820427,0.00019920782],"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":[0.0012654363,0.00013595824,0.002028578,0.0003545744,0.00004480986,0.00021753453,0.00045165297,0.32342216,0.15013993,0.023569066,0.0027829048,0.4955873],"study_design_scores_gemma":[0.000029512863,0.00024104302,0.0011823708,0.00002001434,0.000012252549,0.00014888843,0.000059414644,0.9730033,0.017626299,0.0054974863,0.0021667012,0.00001273416],"about_ca_topic_score_codex":0.0012956163,"about_ca_topic_score_gemma":0.0013274148,"teacher_disagreement_score":0.0012956163,"about_ca_system_score_codex":0.00013696359,"about_ca_system_score_gemma":0.0002603182,"threshold_uncertainty_score":0.004208684},"labels":[],"label_agreement":null},{"id":"W2000251225","doi":"10.1002/acs.994","title":"Multiple robust track‐following controller design in hard disk drives","year":2007,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Track (disk drive); Computer science; Controller (irrigation); Control theory (sociology); Tracking (education); Set (abstract data type); Robust control; Optimal control; Control engineering; Mathematical optimization; Control (management); Control system; Mathematics; Engineering; Artificial intelligence","score_opus":0.017433702054358517,"score_gpt":0.23672662836645822,"score_spread":0.2192929263120997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000251225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012630809,0.0003733094,0.98504835,0.00007677242,0.00005553709,0.000041970678,0.000017173146,0.00032071138,0.0014353959],"genre_scores_gemma":[0.8566281,0.0003299335,0.13893443,0.00010403822,0.00008003718,0.0002156168,0.00007045011,0.00004622519,0.0035910683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992149,0.000106965,0.00004916579,0.00024588802,0.00032690266,0.000056181925],"domain_scores_gemma":[0.9992367,0.00022781057,0.00017920374,0.00006722864,0.00025854973,0.00003046232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008733173,0.0006967451,0.00095475174,0.00032991424,0.00037473327,0.0012983072,0.0012907548,0.00084893533,0.0011525056],"category_scores_gemma":[0.0018071359,0.00036123328,0.00040171036,0.00030292806,0.00052383484,0.0006458397,0.0006401852,0.0008387647,0.00041680312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002709132,0.000082264276,0.000325808,0.00028166905,0.0000957629,0.0001313959,0.00014716876,0.7933379,0.030699605,0.010754035,0.0011779162,0.1626956],"study_design_scores_gemma":[0.000021911446,0.00009237494,0.00007738454,0.000006504402,0.0000076148017,0.000016281667,0.000004945165,0.9949839,0.003218137,0.00081877375,0.0007454497,0.0000066081107],"about_ca_topic_score_codex":0.0021446194,"about_ca_topic_score_gemma":0.0012493636,"teacher_disagreement_score":0.0021446194,"about_ca_system_score_codex":0.00052533037,"about_ca_system_score_gemma":0.00064853916,"threshold_uncertainty_score":0.004618585},"labels":[],"label_agreement":null},{"id":"W2000656685","doi":"10.1115/detc2004-57015","title":"Comparison of PD-Based Controllers for Robotic Manipulators","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Iterative learning control; Trajectory; Control theory (sociology); Feed forward; Computer science; Tracking (education); Control engineering; Adaptive control; Control (management); Controller (irrigation); Control system; Nonlinear system; Artificial intelligence; Engineering","score_opus":0.02412619810694715,"score_gpt":0.2828122991822204,"score_spread":0.25868610107527323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000656685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13076068,0.003726342,0.8349792,0.00036211874,0.00038340193,0.0004322292,0.00008066457,0.001859673,0.027415756],"genre_scores_gemma":[0.93075705,0.0007966407,0.06515903,0.00010337902,0.00004140221,0.00021961986,0.00009185097,0.00003766017,0.0027933705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991379,0.00012871757,0.00007864761,0.000083129926,0.0005186868,0.000052933094],"domain_scores_gemma":[0.9984596,0.00059935707,0.00010951947,0.00013526661,0.00065545796,0.00004078324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014751962,0.00050707196,0.00051730376,0.00069606677,0.0004881516,0.0008971765,0.00080514327,0.0009196557,0.0018153389],"category_scores_gemma":[0.0041357647,0.00019562079,0.00032012945,0.00035081196,0.0003731928,0.00056134927,0.0005575072,0.00059561623,0.00036263693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010358298,0.00022908143,0.0012614075,0.0005932586,0.00013060922,0.00015977825,0.00018911777,0.58787954,0.0139991855,0.013814908,0.001553281,0.37915397],"study_design_scores_gemma":[0.00016478874,0.0008140604,0.0012441555,0.00003131016,0.000036237518,0.00012577338,0.000039130122,0.98104066,0.009353413,0.0027234405,0.0043911706,0.00003576162],"about_ca_topic_score_codex":0.002637568,"about_ca_topic_score_gemma":0.0014595329,"teacher_disagreement_score":0.002637568,"about_ca_system_score_codex":0.0004960118,"about_ca_system_score_gemma":0.0006701816,"threshold_uncertainty_score":0.0078017116},"labels":[],"label_agreement":null},{"id":"W2003043626","doi":"10.1115/detc2004-57131","title":"Adaptive Nonlinear PD Learning Control for Robot Manipulators","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Convergence (economics); Control theory (sociology); Nonlinear system; Robot manipulator; Computer science; Adaptive control; Iterative learning control; Robot; Control engineering; Torque; Tracking (education); Control (management); Artificial intelligence; Engineering","score_opus":0.010264107737160143,"score_gpt":0.2107294768037255,"score_spread":0.20046536906656537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003043626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008608596,0.0004539359,0.9884751,0.00008987951,0.000053922337,0.000023174485,0.0000068852673,0.00022382845,0.0020646972],"genre_scores_gemma":[0.83403385,0.00088152447,0.15565406,0.0001614171,0.00015748762,0.00017991484,0.000057006484,0.000029247585,0.008845515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997855,0.000033992048,0.000011025493,0.000045878085,0.00010819177,0.000015359146],"domain_scores_gemma":[0.99981683,0.000056903595,0.00003790163,0.000013546514,0.0000659019,0.000008888954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031897635,0.00037214122,0.0002988891,0.0002225621,0.00024921304,0.00031493418,0.0005822246,0.00035869423,0.0008696507],"category_scores_gemma":[0.00073502806,0.00013253545,0.00018729724,0.00022235847,0.0004756042,0.00034341915,0.0003763278,0.0005243626,0.00017625255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014976895,0.000083191015,0.00061575277,0.0003093696,0.000040004128,0.00023071139,0.00016018018,0.5163927,0.044164874,0.021860937,0.0022946624,0.41369793],"study_design_scores_gemma":[0.000023092427,0.000103535924,0.00022260622,0.0000059901054,0.00000522542,0.00005691856,0.000006002457,0.9908682,0.0029490043,0.0027863262,0.0029643928,0.000008831316],"about_ca_topic_score_codex":0.0020531456,"about_ca_topic_score_gemma":0.0017052476,"teacher_disagreement_score":0.0020531456,"about_ca_system_score_codex":0.00035178722,"about_ca_system_score_gemma":0.00046681892,"threshold_uncertainty_score":0.0040823817},"labels":[],"label_agreement":null},{"id":"W2006583060","doi":"10.1109/acc.2010.5531423","title":"Robust design of Terminal ILC with an Internal Model Control using &amp;#x03BC;-analysis and a genetic algorithm approach","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"","keywords":"Robustness (evolution); Thermoforming; Control theory (sociology); Internal model; Iterative learning control; Temperature control; Exponential function; Robust control; Terminal (telecommunication); Algorithm; Genetic algorithm; Control system; Computer science; Engineering; Control engineering; Mathematics; Control (management); Artificial intelligence; Mechanical engineering","score_opus":0.024450797636363635,"score_gpt":0.22201570083533126,"score_spread":0.19756490319896763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006583060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00588514,0.00006859153,0.9902733,0.00009230201,0.000026519801,0.000042601758,0.000014213627,0.00055700267,0.0030404062],"genre_scores_gemma":[0.7442448,0.00013837242,0.25018638,0.00015526901,0.00003821738,0.00033716412,0.00009595532,0.00014462508,0.0046591903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992694,0.00013670197,0.00004193267,0.00018869172,0.0002685295,0.000094724644],"domain_scores_gemma":[0.998857,0.0003755969,0.00023151474,0.00008390643,0.00041887892,0.000033153738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014401012,0.0009461651,0.0008188343,0.0005239092,0.00049332087,0.0015274144,0.0011808572,0.0010573036,0.0029196842],"category_scores_gemma":[0.0024143907,0.00039643605,0.0006894289,0.00041581356,0.0009830858,0.0005895105,0.00064673467,0.0012797292,0.00079212687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013491762,0.00006386478,0.00034668137,0.00016213089,0.000059528636,0.00007672535,0.00015829102,0.88389724,0.015498483,0.010460587,0.0013073571,0.087834276],"study_design_scores_gemma":[0.000012757943,0.000060322076,0.00005738193,0.000008658899,0.000008948275,0.000013171526,0.000005303199,0.99496245,0.00353736,0.000563981,0.00076266687,0.000007052039],"about_ca_topic_score_codex":0.00574331,"about_ca_topic_score_gemma":0.0031696816,"teacher_disagreement_score":0.00574331,"about_ca_system_score_codex":0.0012446761,"about_ca_system_score_gemma":0.0015688975,"threshold_uncertainty_score":0.011419773},"labels":[],"label_agreement":null},{"id":"W2007996143","doi":"10.4028/www.scientific.net/amm.141.350","title":"Modeling and Identification for Lightweight High-Speed Machines with Loads Variation","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; University of British Columbia; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Residual; Flexibility (engineering); Vibration; System identification; Engineering; Affine transformation; Transfer function; Computer science; Control engineering; Algorithm; Mathematics; Control (management); Artificial intelligence; Data modeling","score_opus":0.00979726006048856,"score_gpt":0.18260559629943526,"score_spread":0.1728083362389467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007996143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032006864,0.000100116165,0.9665532,0.000065306696,0.000010845985,0.000015212328,0.0000113601345,0.00019581073,0.0010412757],"genre_scores_gemma":[0.96625507,0.00016027158,0.03154049,0.000015556789,0.000012041274,0.00007563823,0.000042378855,0.000027006576,0.0018714315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980515,0.000047552072,0.0000091426045,0.000031017946,0.00009224946,0.000014815632],"domain_scores_gemma":[0.9998196,0.000065407876,0.000053665608,0.00002907277,0.00002677982,0.000005514252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026586375,0.00034643404,0.0003543068,0.00022337121,0.00020380148,0.00037638412,0.00040618863,0.00046122563,0.00055459567],"category_scores_gemma":[0.00059813034,0.00019309494,0.000344398,0.00019199376,0.00036951952,0.0005301413,0.0003308888,0.00039888098,0.00020852868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032412197,0.0000190706,0.00043031853,0.000049181872,0.000013908309,0.000059145586,0.00008343792,0.9411342,0.02551229,0.004928649,0.00021866,0.027518675],"study_design_scores_gemma":[0.0000011791935,0.0000093576145,0.00014197473,8.961443e-7,0.0000010165866,0.0000069849953,0.0000039036104,0.9979697,0.00083983893,0.0008553896,0.00016772609,0.000002129046],"about_ca_topic_score_codex":0.0018752036,"about_ca_topic_score_gemma":0.0015281272,"teacher_disagreement_score":0.0018752036,"about_ca_system_score_codex":0.00024606247,"about_ca_system_score_gemma":0.00038472755,"threshold_uncertainty_score":0.0037286282},"labels":[],"label_agreement":null},{"id":"W2008740555","doi":"10.1117/12.2054874","title":"Development and characterization of a 2D precision cryogenic chopper for METIS","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Economy, Trade and Industry; Rijksuniversiteit Groningen","keywords":"Breadboard; Chopper; Optics; Cassegrain reflector; Actuator; Telescope; Computer science; Aerospace engineering; Physics; Engineering; Electrical engineering","score_opus":0.00845070719497798,"score_gpt":0.21046452904157176,"score_spread":0.20201382184659378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008740555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6734476,0.0015382845,0.3098072,0.0006470055,0.00031496253,0.0009081441,0.0024028088,0.003595464,0.007338584],"genre_scores_gemma":[0.7813746,0.000493018,0.2096877,0.00011252543,0.00004948157,0.0003759209,0.001917941,0.00021107856,0.005777693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989221,0.000057994508,0.00003580241,0.00019149006,0.00070139475,0.000091156595],"domain_scores_gemma":[0.99888736,0.00010417188,0.00015561508,0.00029733483,0.00043410418,0.00012138562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011027887,0.0006234988,0.0005568418,0.000474493,0.0003956112,0.00078774214,0.001330218,0.00082577707,0.0012955668],"category_scores_gemma":[0.0012605289,0.00031821427,0.00029467943,0.0003166014,0.00044850027,0.00048456452,0.00048359684,0.00069808867,0.00084937067],"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":[0.00020408155,0.000081009275,0.0027415594,0.00027371862,0.000020997493,0.0004303189,0.00040846955,0.0044439365,0.94612145,0.0012176699,0.0021351592,0.041921664],"study_design_scores_gemma":[0.000045214314,0.0015237525,0.0124140745,0.000032044878,0.00002778839,0.0008394982,0.00013531664,0.018058538,0.93078804,0.00015313948,0.035922248,0.000060483824],"about_ca_topic_score_codex":0.0007348876,"about_ca_topic_score_gemma":0.0006775089,"teacher_disagreement_score":0.001330218,"about_ca_system_score_codex":0.00083496457,"about_ca_system_score_gemma":0.00080627075,"threshold_uncertainty_score":0.0060581565},"labels":[],"label_agreement":null},{"id":"W2009552836","doi":"10.1007/s00170-009-2496-7","title":"Constrained identification of virtual CNC drives using a genetic algorithm","year":2010,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contouring; Machining; Machine tool; Genetic algorithm; Reduction (mathematics); Identification (biology); Algorithm; Numerical control; Computer science; Lagrange multiplier; Control theory (sociology); Engineering; Mathematical optimization; Mathematics; Artificial intelligence; Engineering drawing; Control (management); Machine learning; Mechanical engineering","score_opus":0.004330642123471756,"score_gpt":0.23367707793677875,"score_spread":0.229346435813307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009552836","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04628935,0.0001095873,0.9493005,0.00007040714,0.00003398886,0.000048461246,0.000018802897,0.00023603499,0.0038927528],"genre_scores_gemma":[0.8863463,0.000065122746,0.11114217,0.0000365864,0.000007660944,0.00011234703,0.000032149946,0.000035941324,0.0022216993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997086,0.0000883671,0.000013665742,0.000065370805,0.00009357686,0.000030434825],"domain_scores_gemma":[0.99933165,0.00032479406,0.00007984852,0.00005737627,0.00018685377,0.000019537645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006029535,0.0005913377,0.0008100032,0.0005236951,0.00059930875,0.0009025283,0.000758102,0.0009935853,0.0012775876],"category_scores_gemma":[0.0020851525,0.00044194306,0.00036342914,0.000506798,0.0006846723,0.0005278264,0.00056637183,0.0005176616,0.00018214816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031444815,0.000012375078,0.00016630215,0.000020442358,0.000010610646,0.000023677934,0.00003477548,0.97873896,0.0014107387,0.002615705,0.00012541692,0.016809525],"study_design_scores_gemma":[0.0000037249154,0.000008514342,0.000059068734,0.0000024096191,0.000001884817,0.0000052556584,0.0000035072758,0.99898106,0.00031949772,0.0004897197,0.00012295728,0.000002383291],"about_ca_topic_score_codex":0.014747703,"about_ca_topic_score_gemma":0.011647581,"teacher_disagreement_score":0.014747703,"about_ca_system_score_codex":0.0007488903,"about_ca_system_score_gemma":0.0013537762,"threshold_uncertainty_score":0.029323757},"labels":[],"label_agreement":null},{"id":"W2011281957","doi":"10.1115/detc2008-50009","title":"Active Vibration Control of a 3-PRR Flexible Parallel Manipulator With PZT Actuators and Sensors","year":2008,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Active vibration control; Actuator; Vibration; Lead zirconate titanate; Control theory (sociology); Vibration control; Controller (irrigation); Modal; Modal analysis; Transducer; Engineering; Computer science; Materials science; Acoustics; Control (management); Electrical engineering; Ferroelectricity","score_opus":0.008187072371257986,"score_gpt":0.18460942823898469,"score_spread":0.1764223558677267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011281957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73479116,0.00012754569,0.26170304,0.00012087212,0.000036150144,0.00010384452,0.00003711048,0.00040316535,0.0026771643],"genre_scores_gemma":[0.9713301,0.000029594124,0.027451804,0.000013094758,0.000008013823,0.000048100876,0.000015831427,0.000006204354,0.001097246],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997595,0.000025146159,0.000011930337,0.000057208355,0.0001214981,0.000024777988],"domain_scores_gemma":[0.9996915,0.000101280064,0.000091757385,0.000043369462,0.0000486119,0.00002353441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037174832,0.00050141034,0.00027047298,0.00022745937,0.00028425196,0.00019203422,0.00065734476,0.00037559198,0.0013164023],"category_scores_gemma":[0.0004571675,0.00019817022,0.00024845763,0.00011731849,0.0004073855,0.0003314865,0.00036024387,0.0002673026,0.00013862661],"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":[0.0005072009,0.00018520404,0.0008251769,0.00020464607,0.0000357648,0.00033446893,0.00022523438,0.047412824,0.8754589,0.0010098522,0.00015329856,0.07364739],"study_design_scores_gemma":[0.0002468598,0.0053084246,0.010483701,0.000029498275,0.00007347286,0.0005024671,0.00011045099,0.6389866,0.3389745,0.0013542175,0.0038660914,0.00006382909],"about_ca_topic_score_codex":0.00071387633,"about_ca_topic_score_gemma":0.0008795212,"teacher_disagreement_score":0.0013164023,"about_ca_system_score_codex":0.00013531289,"about_ca_system_score_gemma":0.00020349954,"threshold_uncertainty_score":0.00440377},"labels":[],"label_agreement":null},{"id":"W2011900614","doi":"10.1177/0278364906072037","title":"Synchronous Tracking Control of Parallel Manipulators Using Cross-coupling Approach","year":2006,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"City University of Hong Kong","keywords":"Control theory (sociology); Synchronization (alternating current); Feed forward; Computer science; Tracking error; Controller (irrigation); Trajectory; Position (finance); Control engineering; Tracking (education); Actuator; Control (management); Engineering; Artificial intelligence; Channel (broadcasting)","score_opus":0.06096506701804409,"score_gpt":0.35602892830076677,"score_spread":0.29506386128272266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011900614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038945608,0.000152919,0.95782036,0.00003783167,0.0000319569,0.000023368531,0.0000067654273,0.00026639478,0.0027148619],"genre_scores_gemma":[0.92468673,0.00026091796,0.07174543,0.000062300795,0.00004145104,0.00009896343,0.00003585192,0.0000313076,0.0030370976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973637,0.000043218224,0.000016384978,0.000070878996,0.00010846353,0.000024792875],"domain_scores_gemma":[0.9996897,0.00006299686,0.0000860094,0.00004100394,0.00009665171,0.000023674635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043998237,0.00046344235,0.0002770783,0.00028651734,0.00031223428,0.00034299266,0.00056389027,0.00034401997,0.000978351],"category_scores_gemma":[0.0005231323,0.00023536281,0.00028242636,0.00023129531,0.00039814852,0.0005031634,0.0007187575,0.00039038033,0.00018590198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018843108,0.00013107312,0.0011033668,0.00024783565,0.000108577755,0.00037119674,0.0004270375,0.65136325,0.16647647,0.031337343,0.0009539979,0.14729142],"study_design_scores_gemma":[0.000026466056,0.00034114975,0.0005217782,0.000008032351,0.000023075761,0.00008339338,0.00001877933,0.98259383,0.011025531,0.003401733,0.0019414544,0.000014721183],"about_ca_topic_score_codex":0.0010567664,"about_ca_topic_score_gemma":0.00091647916,"teacher_disagreement_score":0.0010567664,"about_ca_system_score_codex":0.00023401174,"about_ca_system_score_gemma":0.0004121778,"threshold_uncertainty_score":0.003272891},"labels":[],"label_agreement":null},{"id":"W2012487390","doi":"10.1115/imece2005-80498","title":"Precision Tracking Controller Design for High Speed Feed Drives","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Band-stop filter; Ball screw; Robustness (evolution); Vibration; Tracking (education); Computer science; Filter (signal processing); Sliding mode control; Frequency domain; Feed forward; Robust control; Ball (mathematics); Control engineering; Control system; Low-pass filter; Engineering; Acoustics; Physics; Control (management); Artificial intelligence; Mathematics; Mechanical engineering; Computer vision","score_opus":0.017162347780492904,"score_gpt":0.23769201976566834,"score_spread":0.22052967198517542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012487390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03429981,0.00044685835,0.9612518,0.00007742333,0.00005922924,0.00003954536,0.00001342423,0.00041985983,0.0033920675],"genre_scores_gemma":[0.92936796,0.00033160724,0.06632704,0.00005629583,0.000042476982,0.00007716877,0.00003830605,0.000023578841,0.0037356154],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972767,0.000037583428,0.000012719517,0.000036100293,0.00016783578,0.000018079356],"domain_scores_gemma":[0.99962616,0.0001318749,0.00004698065,0.000024603509,0.00015867437,0.000011719384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041200733,0.0003096661,0.00023259678,0.00023532961,0.0002444686,0.0006942006,0.00046990972,0.0005674195,0.0015457202],"category_scores_gemma":[0.0011071771,0.00015725322,0.00015585896,0.00016461153,0.00023458585,0.0003369888,0.00020348768,0.00045757362,0.00028838916],"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":[0.0003745531,0.00012344173,0.0011876015,0.0005656549,0.000064674736,0.00029069028,0.00039446953,0.3608248,0.116355985,0.01722155,0.0018355194,0.50076103],"study_design_scores_gemma":[0.00007499933,0.0004496223,0.0008371325,0.000027594973,0.000021762904,0.00010826963,0.00003153766,0.9649872,0.025635414,0.0025879396,0.005222544,0.000015839147],"about_ca_topic_score_codex":0.001364846,"about_ca_topic_score_gemma":0.0010392541,"teacher_disagreement_score":0.0015457202,"about_ca_system_score_codex":0.0002569822,"about_ca_system_score_gemma":0.00035819804,"threshold_uncertainty_score":0.005171001},"labels":[],"label_agreement":null},{"id":"W2012560898","doi":"10.1109/embc.2012.6346674","title":"Subspace identification of hammerstein systems using B-splines","year":2012,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; McGill University","funders":"","keywords":"Cascade; Nonlinear system; Knot (papermaking); Subspace topology; Nonlinear system identification; System identification; A priori and a posteriori; Control theory (sociology); Spline (mechanical); Computer science; Algorithm; State space; Basis (linear algebra); Identification (biology); Mathematics; Linear system; Data modeling; Artificial intelligence; Engineering; Mathematical analysis; Statistics","score_opus":0.018261748616553844,"score_gpt":0.24010012720219362,"score_spread":0.22183837858563976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012560898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043361317,0.000044744706,0.99521685,0.000012257347,0.000005048351,0.0000067632527,0.0000065681606,0.00012617365,0.00024551852],"genre_scores_gemma":[0.33797067,0.00030781727,0.6592103,0.000019059486,0.00002022707,0.000091620605,0.00011455209,0.00009956349,0.002166234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995981,0.0001348556,0.00002566832,0.000062161336,0.0001527776,0.000026477388],"domain_scores_gemma":[0.9993855,0.00033882423,0.000070651084,0.00006584238,0.00011667851,0.000022529603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078890385,0.00051290286,0.0006307344,0.00077507255,0.00038296325,0.00043914668,0.00054260576,0.0006277511,0.0011770991],"category_scores_gemma":[0.0018686276,0.00032206383,0.0006765569,0.0005444644,0.0004952146,0.00077099964,0.00064882974,0.00090945663,0.00046745036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000992362,0.000037088295,0.0007348635,0.00012679074,0.000048721195,0.000074029485,0.0001409562,0.7405789,0.019595353,0.02437702,0.00046817225,0.21371886],"study_design_scores_gemma":[0.0000021362944,0.000014048232,0.00006789735,0.000004714282,0.0000016837545,0.000013017233,0.0000050341596,0.99467623,0.0012225155,0.0035347561,0.00045271442,0.000005192802],"about_ca_topic_score_codex":0.0026870717,"about_ca_topic_score_gemma":0.0021136408,"teacher_disagreement_score":0.0026870717,"about_ca_system_score_codex":0.00027358887,"about_ca_system_score_gemma":0.0005817747,"threshold_uncertainty_score":0.0053429008},"labels":[],"label_agreement":null},{"id":"W2012786968","doi":"10.1117/12.873068","title":"Optimizing the feedback control of Galvo scanners for laser manufacturing systems","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algonquin College","funders":"","keywords":"Feedback control; Laser; Computer science; Control (management); Materials science; Control engineering; Engineering; Optics; Physics; Artificial intelligence","score_opus":0.006789114536295076,"score_gpt":0.20714187189108235,"score_spread":0.20035275735478728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012786968","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30331364,0.00056957564,0.6889281,0.00018971096,0.00004218423,0.0001081849,0.00005337633,0.001325841,0.00546934],"genre_scores_gemma":[0.9691672,0.000066199565,0.02985281,0.00002185684,0.0000036945166,0.000037323684,0.000016311484,0.000035436507,0.0007991839],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997516,0.000036270045,0.000010294699,0.000044756358,0.00012407247,0.000033059987],"domain_scores_gemma":[0.9996692,0.00017427222,0.00005763606,0.000020822685,0.00006824357,0.00000979976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036403126,0.0004385875,0.00020356377,0.0001972847,0.00022668754,0.00056646415,0.0005726994,0.00035430965,0.0010092508],"category_scores_gemma":[0.0014045346,0.0001862936,0.0001571483,0.00011241265,0.00028728953,0.00037984288,0.00040033297,0.00025399023,0.00019433282],"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":[0.00049701444,0.00012207795,0.0017955389,0.0004537455,0.0000306871,0.0001530831,0.00037040163,0.36122075,0.4334804,0.003389407,0.0008245218,0.19766231],"study_design_scores_gemma":[0.000058371574,0.00047128438,0.002394329,0.000039011702,0.000019881418,0.00012316897,0.00006960274,0.8386148,0.15215884,0.0022817093,0.0037375896,0.00003140016],"about_ca_topic_score_codex":0.0014181959,"about_ca_topic_score_gemma":0.002477093,"teacher_disagreement_score":0.0014181959,"about_ca_system_score_codex":0.00049507676,"about_ca_system_score_gemma":0.00040056696,"threshold_uncertainty_score":0.003592074},"labels":[],"label_agreement":null},{"id":"W2018375358","doi":"10.1109/iecon.2012.6388707","title":"High order robust Terminal Iterative Learning Control design using Genetic Algorithm","year":2012,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Robustness (evolution); Algorithm; Thermoforming; Iterative learning control; Computer science; Terminal (telecommunication); Robust control; Temperature control; Control theory (sociology); Control system; Genetic algorithm; Artificial intelligence; Control (management); Engineering; Control engineering; Machine learning; Mechanical engineering","score_opus":0.016862646530783565,"score_gpt":0.21978057348428162,"score_spread":0.20291792695349806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018375358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015574376,0.00016357627,0.9805612,0.00007982677,0.000024284709,0.00004850473,0.000010622608,0.000296934,0.003240666],"genre_scores_gemma":[0.816859,0.00023556032,0.17826651,0.00011352063,0.000028611834,0.00034748315,0.00007027487,0.000054648142,0.0040243724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940753,0.00015224426,0.000027965885,0.00014089803,0.00018498825,0.0000863555],"domain_scores_gemma":[0.9990915,0.0004419167,0.00013431863,0.000037842252,0.00026563756,0.000028775528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012494999,0.0009329084,0.00094147696,0.0006932344,0.0004720404,0.0012196092,0.0011386626,0.0012007682,0.0011725555],"category_scores_gemma":[0.0024209633,0.00040075797,0.00071190135,0.0006738539,0.0009800975,0.0004896517,0.00066403806,0.0008884464,0.00027351975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029880282,0.000022007265,0.00016716374,0.0000351364,0.00002106575,0.000027959373,0.000047324324,0.97274506,0.0017214114,0.003786798,0.00020137778,0.021194858],"study_design_scores_gemma":[0.000006842012,0.000023918372,0.000029016068,0.0000028503068,0.0000033269735,0.0000044076924,0.0000021357484,0.99890745,0.00036623038,0.00051929115,0.0001312085,0.0000032841704],"about_ca_topic_score_codex":0.008264001,"about_ca_topic_score_gemma":0.0038640387,"teacher_disagreement_score":0.008264001,"about_ca_system_score_codex":0.0011132577,"about_ca_system_score_gemma":0.001427008,"threshold_uncertainty_score":0.016431808},"labels":[],"label_agreement":null},{"id":"W2019676428","doi":"10.1063/1.3065093","title":"Model-free iterative control of repetitive dynamics for high-speed scanning in atomic force microscopy","year":2009,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Feed forward; Computer science; Range (aeronautics); Actuator; Algorithm; Iterative method; Noise (video); Control theory (sociology); Acoustics; Physics; Materials science; Artificial intelligence; Control (management); Control engineering","score_opus":0.008761684354656575,"score_gpt":0.25493851813149376,"score_spread":0.2461768337768372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019676428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045956187,0.00006841104,0.9945087,0.000049655075,0.000011518388,0.000012230942,0.000006661114,0.00020963425,0.00053764955],"genre_scores_gemma":[0.3821358,0.00023988729,0.615123,0.00006297113,0.00002345746,0.00022891648,0.000049692317,0.00011672691,0.0020194766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979836,0.00006142015,0.000009266479,0.000025347126,0.000092461094,0.000013147194],"domain_scores_gemma":[0.9996625,0.0001675413,0.000045499924,0.00004353379,0.00006661734,0.000014288283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006888893,0.00046014116,0.00040257134,0.00019562618,0.00032901592,0.00040133006,0.00085623265,0.0006839331,0.0012433254],"category_scores_gemma":[0.0015404732,0.00025949153,0.0003501242,0.00022568861,0.0006448301,0.00056116894,0.00058319955,0.00073921116,0.00031994487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007370631,0.000051338156,0.000372928,0.0001370704,0.000028699065,0.0000666945,0.00018909312,0.83290976,0.028027814,0.043590765,0.0011525123,0.09339958],"study_design_scores_gemma":[0.0000037975926,0.00001487175,0.000026062777,0.0000026990463,0.0000011340475,0.0000074306895,0.0000016930309,0.99556655,0.0016754727,0.0022603301,0.00043695333,0.0000030420836],"about_ca_topic_score_codex":0.001993665,"about_ca_topic_score_gemma":0.0023832312,"teacher_disagreement_score":0.001993665,"about_ca_system_score_codex":0.00046261304,"about_ca_system_score_gemma":0.0007106954,"threshold_uncertainty_score":0.0041593313},"labels":[],"label_agreement":null},{"id":"W2021080193","doi":"10.1016/j.ijmachtools.2004.07.008","title":"Design and control of a dual-stage feed drive","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":153,"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":"Workspace; Tracking error; Machine tool; Control theory (sociology); Process (computing); Actuator; Servomechanism; Linear motor; Feature (linguistics); Tracking (education); Computer science; Servo; Control engineering; Robot; Engineering; Control (management); Mechanical engineering; Artificial intelligence","score_opus":0.006717652049559621,"score_gpt":0.22300906510744734,"score_spread":0.2162914130578877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021080193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06218955,0.00043412915,0.9255247,0.00028964225,0.00023797253,0.00019371993,0.000071605944,0.0005392545,0.010519425],"genre_scores_gemma":[0.9346901,0.00021725228,0.057515837,0.00007472992,0.000057727375,0.00018945576,0.0000475666,0.000029056502,0.007178227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995505,0.00005442282,0.00002984463,0.00011021425,0.00020163646,0.000053465857],"domain_scores_gemma":[0.9995994,0.00008332885,0.00008162709,0.000031796157,0.00016964153,0.0000341397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005873921,0.00067822373,0.000985296,0.00043790636,0.0008310636,0.0014225262,0.0013607447,0.0012683837,0.0031107143],"category_scores_gemma":[0.000667429,0.00057840755,0.00043526504,0.00031760446,0.0004937991,0.0005132755,0.00091574027,0.0006172266,0.0007703743],"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":[0.0018410492,0.0004335228,0.0019397882,0.0015322717,0.00025518143,0.00080253754,0.0007000003,0.35270852,0.30657357,0.017146822,0.0027025128,0.31336418],"study_design_scores_gemma":[0.00013174665,0.0013365524,0.0011404947,0.000040754552,0.00008224265,0.00023154252,0.000037709746,0.9653567,0.02387051,0.0010448261,0.006690032,0.000036970883],"about_ca_topic_score_codex":0.0019569295,"about_ca_topic_score_gemma":0.002789885,"teacher_disagreement_score":0.0031107143,"about_ca_system_score_codex":0.00042397267,"about_ca_system_score_gemma":0.00078693073,"threshold_uncertainty_score":0.010406375},"labels":[],"label_agreement":null},{"id":"W2021296431","doi":"10.1007/s00521-010-0366-8","title":"Neural-adaptive control using alternate weights","year":2010,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Iterative Learning Control 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":"University of Calgary","funders":"","keywords":"Control theory (sociology); Computer science; Artificial neural network; Dead zone; Train; Adaptive control; Vibration; Control (management); Artificial intelligence","score_opus":0.009832449724309127,"score_gpt":0.24007887264525463,"score_spread":0.2302464229209455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021296431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02663515,0.00045319874,0.96411204,0.00016617357,0.0004195462,0.000042925327,0.0000189361,0.00016920059,0.007982697],"genre_scores_gemma":[0.7666818,0.00040157072,0.22331731,0.0001512938,0.00014104958,0.00014330249,0.000044342854,0.000061089995,0.009058317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973565,0.00006796194,0.00002426958,0.000045350454,0.00010137257,0.000025346018],"domain_scores_gemma":[0.9994708,0.00015870162,0.000039536215,0.00007864755,0.00022499822,0.000027340477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007645608,0.00052894984,0.00055122783,0.00042373082,0.00041385586,0.0008157958,0.0011535662,0.0008753092,0.0030059787],"category_scores_gemma":[0.0024522778,0.0003044008,0.00032077837,0.0005673081,0.00060789485,0.0015051012,0.00095445383,0.0009103865,0.0003499618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004108689,0.00023706222,0.0009702926,0.0002888542,0.00014949916,0.00014445472,0.00016306454,0.47488612,0.022960585,0.1317442,0.002766588,0.3652783],"study_design_scores_gemma":[0.000018554429,0.000040524123,0.000107549946,0.0000070739347,0.000011581458,0.000019842992,0.0000037028678,0.98945785,0.0013322388,0.008282285,0.0007119469,0.0000068092068],"about_ca_topic_score_codex":0.001929618,"about_ca_topic_score_gemma":0.0031651754,"teacher_disagreement_score":0.0030059787,"about_ca_system_score_codex":0.00035404006,"about_ca_system_score_gemma":0.00048352656,"threshold_uncertainty_score":0.010056019},"labels":[],"label_agreement":null},{"id":"W2022312816","doi":"10.1115/dscc2013-3784","title":"Modeling, Identification, and Adaptive Robust Motion Control of Voice-Coil Motor Driven Stages","year":2013,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Control theory (sociology); Voice coil; Nonlinear system; Electromagnetic coil; Frequency domain; Parametric statistics; Computer science; Motion control; Adaptive control; Controller (irrigation); Compensation (psychology); Control engineering; Engineering; Physics; Robot; Artificial intelligence; Control (management); Mathematics","score_opus":0.010208348572536153,"score_gpt":0.19223957850595552,"score_spread":0.18203122993341936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022312816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05086431,0.00029348338,0.94507545,0.000086649256,0.000025073354,0.000040120867,0.000028607536,0.00035184718,0.0032344991],"genre_scores_gemma":[0.9764624,0.00018945757,0.021197587,0.000017569924,0.000010600261,0.00008445968,0.00004913877,0.000015339325,0.0019733708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997892,0.000038792266,0.000015675421,0.00005236629,0.00007988013,0.000024077088],"domain_scores_gemma":[0.99979585,0.000051523508,0.00006879029,0.00002606124,0.000051699917,0.000006094002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029364205,0.00045789193,0.000391615,0.00019648254,0.0002263614,0.0004118685,0.00062477717,0.00044225348,0.00053076114],"category_scores_gemma":[0.0005921462,0.00028946096,0.00036855906,0.00019044473,0.00035260548,0.0004006319,0.00041846724,0.00039319758,0.00016110984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007837855,0.000021622187,0.00048680438,0.000110274996,0.000027693628,0.00009414203,0.0001016746,0.9242372,0.035864603,0.004108472,0.00028426806,0.03458485],"study_design_scores_gemma":[0.0000053331974,0.00004505986,0.00027286788,0.000003028295,0.000004609195,0.000017269214,0.0000073637443,0.9960626,0.002839663,0.00035807618,0.00037920513,0.0000049430396],"about_ca_topic_score_codex":0.005070998,"about_ca_topic_score_gemma":0.0025978277,"teacher_disagreement_score":0.005070998,"about_ca_system_score_codex":0.00026237988,"about_ca_system_score_gemma":0.0005108594,"threshold_uncertainty_score":0.01008296},"labels":[],"label_agreement":null},{"id":"W2022911813","doi":"10.1109/isie.2012.6237278","title":"Position domain contour tracking with cross-coupled control","year":2012,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Controller (irrigation); Position (finance); Tracking (education); Computer science; Domain (mathematical analysis); Time domain; Frequency domain; Tracking error; Contouring; Artificial intelligence; Control engineering; Engineering; Computer vision; Control (management); Mathematics","score_opus":0.005296125710846318,"score_gpt":0.22150543575617795,"score_spread":0.21620931004533164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022911813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0359689,0.00013392231,0.9580523,0.000056127836,0.000069336595,0.000060885995,0.000007569306,0.00050219026,0.0051488443],"genre_scores_gemma":[0.89117926,0.0001547591,0.103395075,0.0001228307,0.00003369954,0.000087072425,0.00003631093,0.00005182085,0.004939231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955803,0.00003907134,0.000028489081,0.00009690634,0.00025291,0.000024576671],"domain_scores_gemma":[0.99929047,0.00014412934,0.000116151525,0.00010034157,0.00032245828,0.000026419684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054071564,0.00043605664,0.0002566871,0.00030729978,0.00024136348,0.0007586458,0.0006886664,0.00049879873,0.0013521533],"category_scores_gemma":[0.0010608546,0.00020636895,0.00027088253,0.00028673242,0.00057069253,0.00065797556,0.0007623738,0.00062637177,0.0002527517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044708975,0.0002773371,0.0015131647,0.000279328,0.00008708873,0.00027173437,0.00043887045,0.4284891,0.20449571,0.019115904,0.0014838564,0.34310088],"study_design_scores_gemma":[0.00003635827,0.00026332997,0.00066185545,0.0000137917405,0.000018072487,0.000099034114,0.000013837508,0.9534271,0.040432043,0.0014711877,0.003543607,0.000019851377],"about_ca_topic_score_codex":0.002088956,"about_ca_topic_score_gemma":0.0013990313,"teacher_disagreement_score":0.002088956,"about_ca_system_score_codex":0.0003634894,"about_ca_system_score_gemma":0.00044390027,"threshold_uncertainty_score":0.004523456},"labels":[],"label_agreement":null},{"id":"W2023354115","doi":"10.1115/detc2011-47752","title":"Optimal Trajectory Tracking Control With a 5R Parallel Robot","year":2011,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Particle swarm optimization; Trajectory; Scheme (mathematics); Computer science; Controller (irrigation); Feed forward; Artificial neural network; Tracking (education); Control theory (sociology); Robot; Feedforward neural network; Adaptive control; Control engineering; Mathematical optimization; Artificial intelligence; Control (management); Engineering; Mathematics; Algorithm","score_opus":0.015934146629490702,"score_gpt":0.187653509748595,"score_spread":0.1717193631191043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023354115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12382981,0.00037552416,0.8578298,0.00025845875,0.000070284084,0.00007815739,0.00003822967,0.00045604177,0.017063601],"genre_scores_gemma":[0.92294466,0.0001509439,0.07159282,0.000032332344,0.000019044237,0.000061787825,0.000024270925,0.000016317555,0.0051578176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998073,0.00004098632,0.000010801583,0.00004213785,0.0000806918,0.000018099203],"domain_scores_gemma":[0.9997702,0.000051466057,0.00007884785,0.000036866008,0.00004999887,0.000012521516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005139337,0.0003402478,0.00037359024,0.00020531207,0.0003549351,0.0003902979,0.00036338266,0.00040818824,0.0015188169],"category_scores_gemma":[0.00053408416,0.00017018823,0.00022155682,0.00020343415,0.00045702915,0.0003955569,0.00040685807,0.00025838995,0.00027995114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017342858,0.000052587482,0.00053787086,0.0001605279,0.000029350538,0.00028029177,0.00015412514,0.860612,0.04146409,0.013641801,0.0006040395,0.082289785],"study_design_scores_gemma":[0.000014269068,0.00017821144,0.00035650056,0.00000689421,0.000005150663,0.000060661845,0.000014684998,0.99244976,0.0034630925,0.0016261099,0.0018146414,0.000010005821],"about_ca_topic_score_codex":0.0028194473,"about_ca_topic_score_gemma":0.0017989599,"teacher_disagreement_score":0.0028194473,"about_ca_system_score_codex":0.00033168346,"about_ca_system_score_gemma":0.00042593392,"threshold_uncertainty_score":0.0056059957},"labels":[],"label_agreement":null},{"id":"W2024010356","doi":"10.2316/journal.201.2006.1.201-1511","title":"RAM POSITION CONTROL IN PLASTIC INJECTION MOLDING MACHINES WITH HIGHER-ORDER ITERATIVE LEARNING","year":2006,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative learning control; Control theory (sociology); Position (finance); Controller (irrigation); Injection molding machine; Convergence (economics); Molding (decorative); Feed forward; Computer science; PID controller; Control engineering; Nonlinear system; Control (management); Engineering; Artificial intelligence; Temperature control; Materials science; Mechanical engineering; Physics","score_opus":0.0038116506193542937,"score_gpt":0.18989991226014372,"score_spread":0.18608826164078943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024010356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08008476,0.00033905913,0.9154498,0.00011138509,0.000035204575,0.00003797269,0.000005473439,0.00055435963,0.0033819769],"genre_scores_gemma":[0.93809396,0.00013159444,0.059670858,0.000046173336,0.000021269378,0.000053261378,0.00001311695,0.000021067925,0.0019487676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999616,0.00009080771,0.000022068736,0.000060947685,0.00017090609,0.000039304126],"domain_scores_gemma":[0.9994444,0.00023377588,0.00011148851,0.00004776754,0.00014270167,0.000019747322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006038679,0.00040077532,0.0003950465,0.0002245178,0.0002920968,0.00043344655,0.0007897975,0.00051570154,0.0006178186],"category_scores_gemma":[0.0012897926,0.00021654199,0.0002643467,0.00021525891,0.00063338253,0.00053190574,0.00043918056,0.0005188131,0.00013939076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021060558,0.00014413259,0.0012536336,0.00017764186,0.00005276031,0.00018291535,0.00038392204,0.70993936,0.043558266,0.0070463754,0.0005574176,0.236493],"study_design_scores_gemma":[0.000017082593,0.0001109869,0.00018343865,0.0000040749683,0.00000538838,0.000030315667,0.00000650769,0.99172497,0.0066924193,0.0008360264,0.00038127106,0.0000074859418],"about_ca_topic_score_codex":0.0023697207,"about_ca_topic_score_gemma":0.0018138057,"teacher_disagreement_score":0.0023697207,"about_ca_system_score_codex":0.00033630646,"about_ca_system_score_gemma":0.00046300614,"threshold_uncertainty_score":0.004711807},"labels":[],"label_agreement":null},{"id":"W2024629186","doi":"10.1115/dscc2010-4163","title":"Parametric Uncertainty Modeling and Multiple Controller Design for Hard Disk Drives","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Samsung; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Parametric statistics; Transfer function; Computer science; Control theory (sociology); Controller (irrigation); Set (abstract data type); Partition (number theory); Robust control; Control engineering; Control system; Control (management); Engineering; Mathematics; Artificial intelligence","score_opus":0.019351240183305897,"score_gpt":0.22507914885504693,"score_spread":0.20572790867174104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024629186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002465414,0.00009689558,0.9969586,0.000021960335,0.000006551367,0.000008129697,0.0000064892592,0.0000995387,0.00033636502],"genre_scores_gemma":[0.6248832,0.0005106515,0.37126446,0.00006573346,0.000056249584,0.00023002624,0.000095043506,0.000098061166,0.0027966443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922895,0.00017152917,0.000036641897,0.00015219486,0.00037448088,0.00003618187],"domain_scores_gemma":[0.99954647,0.00021530387,0.000065028755,0.00006543791,0.00009621907,0.000011484837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005982065,0.0006204389,0.0006425657,0.00032493455,0.0003417947,0.0008026352,0.0010353881,0.0006390467,0.0010059102],"category_scores_gemma":[0.0017588012,0.000404857,0.00056073244,0.00024477456,0.0005576448,0.0010108583,0.0007734855,0.0011021727,0.00030923035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006308068,0.000028814358,0.00018665464,0.00012495837,0.000042515876,0.0000753261,0.00011602435,0.83311635,0.015003874,0.024279287,0.00038499874,0.126578],"study_design_scores_gemma":[0.00000809167,0.000030669446,0.000067778965,0.0000061501496,0.00000560001,0.000019516932,0.0000069057837,0.98876524,0.0036583054,0.006145108,0.0012783244,0.000008302262],"about_ca_topic_score_codex":0.0016826838,"about_ca_topic_score_gemma":0.0012995105,"teacher_disagreement_score":0.0016826838,"about_ca_system_score_codex":0.00043529164,"about_ca_system_score_gemma":0.00066701975,"threshold_uncertainty_score":0.003365159},"labels":[],"label_agreement":null},{"id":"W2024954560","doi":"10.1016/s0007-8506(07)60444-2","title":"Virtual Computer Numerical Control System","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"","keywords":"Modular design; Numerical control; Interpolation (computer graphics); Trajectory; Control engineering; Identification (biology); Computer science; Machine tool; Feed forward; Control system; Control (management); Engineering; Simulation; Machining; Mechanical engineering; Artificial intelligence; Frame (networking)","score_opus":0.006722529672400461,"score_gpt":0.20120754384038395,"score_spread":0.19448501416798347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024954560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020783491,0.0002488629,0.92975384,0.0003537649,0.00063889823,0.00013536173,0.0002301803,0.004351974,0.043503612],"genre_scores_gemma":[0.8221295,0.00033128762,0.120551325,0.0003295468,0.00015742601,0.0003597258,0.00045375267,0.00019489227,0.055492543],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995616,0.00007114132,0.000020075653,0.000107988104,0.00021053286,0.000028655944],"domain_scores_gemma":[0.99960524,0.000061312145,0.000026747972,0.00009441803,0.00017345214,0.000038807586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003242658,0.00034999172,0.0004616393,0.00045233374,0.0006001496,0.0015616183,0.00084244605,0.0006213522,0.014996585],"category_scores_gemma":[0.0012162698,0.00016146495,0.00023563967,0.00027863812,0.0005143559,0.00067485875,0.00108892,0.00045350374,0.0030255283],"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":[0.00075853814,0.00017914215,0.0018802416,0.00026653588,0.000051711406,0.0002758227,0.00026875938,0.36789772,0.06449153,0.10136864,0.02671362,0.43584764],"study_design_scores_gemma":[0.00007769069,0.0001994949,0.0006375757,0.000023384084,0.000018695016,0.00012959709,0.000028442053,0.92352253,0.015848326,0.009875281,0.04960255,0.0000364956],"about_ca_topic_score_codex":0.002750545,"about_ca_topic_score_gemma":0.0017726067,"teacher_disagreement_score":0.014996585,"about_ca_system_score_codex":0.0005181457,"about_ca_system_score_gemma":0.0010590728,"threshold_uncertainty_score":0.050168574},"labels":[],"label_agreement":null},{"id":"W2027014539","doi":"10.1109/icca.2014.6871135","title":"Convex optimization based iterative learning control for iteration-varying systems under output constraints","year":2014,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Iterative learning control; Computer science; Convex optimization; Regular polygon; Mathematical optimization; Iterative method; Control (management); Control theory (sociology); Algorithm; Mathematics; Artificial intelligence","score_opus":0.00930468342355607,"score_gpt":0.21033323377117985,"score_spread":0.2010285503476238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027014539","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011037744,0.00019979576,0.9855564,0.000085860804,0.000017775177,0.000026138161,0.000010692772,0.000090623966,0.0029749828],"genre_scores_gemma":[0.91522247,0.00038252713,0.07968132,0.00010432886,0.000046117537,0.00016903364,0.000060676462,0.00005937669,0.0042741275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921906,0.00024988205,0.000035244808,0.00016550424,0.00023439771,0.00009586437],"domain_scores_gemma":[0.9988588,0.0006148662,0.00019392098,0.00007298563,0.00022943565,0.000029866844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012499368,0.0008793385,0.00083618076,0.00025927887,0.0003695875,0.0012351648,0.0010082907,0.0008994589,0.001228652],"category_scores_gemma":[0.0027240433,0.0002703531,0.00047216736,0.0004901084,0.0013546325,0.0008316067,0.0009834624,0.0012730962,0.00024753314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060586895,0.00003583796,0.0003563115,0.000125794,0.000040770497,0.00011203651,0.00017344911,0.93066865,0.0048914608,0.030211367,0.0005653973,0.032758374],"study_design_scores_gemma":[0.0000040298696,0.000028710385,0.000048748017,0.0000035379855,0.000003250266,0.000011963784,0.0000059185445,0.99690574,0.00073858805,0.0018810362,0.0003640377,0.000004433064],"about_ca_topic_score_codex":0.003913723,"about_ca_topic_score_gemma":0.0022707765,"teacher_disagreement_score":0.003913723,"about_ca_system_score_codex":0.0008874235,"about_ca_system_score_gemma":0.0010283877,"threshold_uncertainty_score":0.007781923},"labels":[],"label_agreement":null},{"id":"W2028489299","doi":"10.1016/s0890-6955(99)00075-9","title":"High speed servo control of multi-axis machine tools","year":2000,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":92,"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":"Machine tool; Servo; Servo control; Servo drive; Servomotor; Machining; Envelope (radar); Servomechanism; Actuator; Control engineering; Numerical control; Computer science; Acceleration; Engineering; Control theory (sociology); Control (management); Mechanical engineering; Artificial intelligence","score_opus":0.007894933245386444,"score_gpt":0.22855051395828152,"score_spread":0.22065558071289507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028489299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5198012,0.0008585233,0.46850872,0.00018380808,0.00022720765,0.0000888143,0.00003872032,0.0005397038,0.009753285],"genre_scores_gemma":[0.99207217,0.000057142443,0.006634072,0.00001034742,0.00000867005,0.000009080053,0.00000587784,0.0000063207412,0.001196309],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998337,0.000026119676,0.000009773353,0.00002387828,0.00008807442,0.00001845334],"domain_scores_gemma":[0.99958545,0.00018393218,0.00007186353,0.000036623314,0.00009998188,0.000022214095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036345026,0.00024184513,0.00018793804,0.00019963927,0.0002815454,0.00043575707,0.0002882935,0.00021918862,0.0014620911],"category_scores_gemma":[0.0011636695,0.0001364159,0.000081586746,0.00018490477,0.00022828674,0.00027589104,0.0003191771,0.00020888828,0.000118172014],"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":[0.0016068743,0.00013355896,0.0018446944,0.00050787546,0.00003946414,0.00042278462,0.0006727333,0.17520386,0.40186036,0.009724728,0.0016630425,0.40632004],"study_design_scores_gemma":[0.0001607035,0.0010853303,0.0072347517,0.000045179564,0.000021713126,0.0002993131,0.00008647636,0.89123297,0.08807718,0.004446127,0.007278773,0.00003154797],"about_ca_topic_score_codex":0.000948389,"about_ca_topic_score_gemma":0.0013357436,"teacher_disagreement_score":0.0014620911,"about_ca_system_score_codex":0.00015946123,"about_ca_system_score_gemma":0.00020612412,"threshold_uncertainty_score":0.0048912168},"labels":[],"label_agreement":null},{"id":"W2028777387","doi":"10.1115/detc2007-34291","title":"Hybrid Force/Velocity Control of a Pneumatic Gantry Robot for Contour Tracking: Tuning and Model Validation","year":2007,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Tracking (education); Compensation (psychology); Focus (optics); Robot; Computer science; PID controller; Work (physics); Contact force; Control engineering; Simulation; Engineering; Control (management); Artificial intelligence; Mechanical engineering; Physics","score_opus":0.015620173966147764,"score_gpt":0.239966576824886,"score_spread":0.22434640285873825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028777387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4235656,0.0002868665,0.56780595,0.00017578207,0.00004549127,0.0003151284,0.000060626662,0.0010218268,0.0067226775],"genre_scores_gemma":[0.97793055,0.000038339425,0.02125265,0.000013105305,0.0000022873207,0.00009429379,0.000017206043,0.000010592615,0.0006409425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973804,0.00006865759,0.000014969127,0.00003315394,0.000121175886,0.000023895514],"domain_scores_gemma":[0.9992091,0.0004523444,0.00010527292,0.00009333889,0.00012117809,0.000018778126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088200986,0.00037460504,0.0003683051,0.00018898261,0.0002560472,0.00042053135,0.00049821805,0.0006091398,0.0008983001],"category_scores_gemma":[0.0015517451,0.00018716247,0.00021691437,0.0001441515,0.00036308885,0.00030486868,0.00029451257,0.00037112285,0.00013271731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005228407,0.00024322236,0.0014396328,0.0003426575,0.000047720074,0.0001201629,0.00022956853,0.8062335,0.090515696,0.0018257899,0.00045658374,0.09802262],"study_design_scores_gemma":[0.00006735031,0.0004975793,0.0009146247,0.000011441402,0.000009830061,0.000041709904,0.000017175384,0.9773375,0.020190313,0.0002628004,0.0006355793,0.000014153696],"about_ca_topic_score_codex":0.0034986625,"about_ca_topic_score_gemma":0.0021113579,"teacher_disagreement_score":0.0034986625,"about_ca_system_score_codex":0.0003119543,"about_ca_system_score_gemma":0.00036871195,"threshold_uncertainty_score":0.006956637},"labels":[],"label_agreement":null},{"id":"W2028875588","doi":"10.1016/j.automatica.2007.06.023","title":"Further results on adaptive iterative learning control of robot manipulators","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Tracking error; A priori and a posteriori; Controller (irrigation); Revolute joint; Robot; Convergence (economics); Computer science; Mathematics; Control engineering; Artificial intelligence; Control (management); Engineering","score_opus":0.00980276965030569,"score_gpt":0.22448450295184463,"score_spread":0.21468173330153895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028875588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01425447,0.002111759,0.95206296,0.0006489864,0.00040262178,0.000048497306,0.000040087103,0.00030616415,0.030124474],"genre_scores_gemma":[0.63890475,0.006268818,0.2907501,0.0011292043,0.0013865713,0.00028487397,0.00030357955,0.00041224883,0.06055983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955136,0.00009122011,0.000024544348,0.00006982146,0.00021988584,0.000043173895],"domain_scores_gemma":[0.9989936,0.00057133706,0.000058627513,0.00012229677,0.0002101477,0.00004403066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481664,0.0009831149,0.0006244146,0.0007070336,0.000450707,0.0007486252,0.0010419273,0.0008856497,0.008717568],"category_scores_gemma":[0.0038187706,0.00025687146,0.0010624501,0.0007282426,0.00101663,0.001378463,0.0012121801,0.001971996,0.0009247401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025242224,0.00020685104,0.00048374795,0.00085161964,0.00016372176,0.00033848317,0.0005732327,0.29247245,0.029208394,0.3343403,0.008208554,0.33290014],"study_design_scores_gemma":[0.000050732728,0.00019520143,0.0005225779,0.00008582595,0.00005848173,0.00013693004,0.000051005467,0.7120592,0.009176634,0.26090956,0.016708292,0.000045560308],"about_ca_topic_score_codex":0.001691771,"about_ca_topic_score_gemma":0.0013787164,"teacher_disagreement_score":0.008717568,"about_ca_system_score_codex":0.00042902053,"about_ca_system_score_gemma":0.00045329114,"threshold_uncertainty_score":0.029163182},"labels":[],"label_agreement":null},{"id":"W2028918340","doi":"10.1049/iet-cta:20060413","title":"Exact discretisation of a scalar differential Riccati equation with constant parameters","year":2007,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Defence Research and Development Canada","funders":"Japan Society for the Promotion of Science","keywords":"Discretization; Riccati equation; Mathematics; Differential equation; Constant (computer programming); Algebraic Riccati equation; Nonlinear system; Scalar (mathematics); Exact differential equation; Control theory (sociology); Mathematical analysis; Applied mathematics; Sampling (signal processing); Linear differential equation; Computer science; Filter (signal processing); Geometry","score_opus":0.005169024863585694,"score_gpt":0.20806715866357003,"score_spread":0.20289813379998434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028918340","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017230574,0.00012652588,0.978555,0.00008817057,0.000051988052,0.000033987435,0.000046261317,0.00015867782,0.0037087563],"genre_scores_gemma":[0.87758017,0.0002727439,0.11563042,0.00006245751,0.000029209694,0.00009262818,0.00011981514,0.00005329822,0.0061592907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997415,0.00005940412,0.000016536535,0.000040116487,0.0001198226,0.00002264395],"domain_scores_gemma":[0.99962294,0.00016835149,0.000057049743,0.00006764405,0.00007140569,0.000012606797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004307837,0.00037114864,0.0006445174,0.00016769576,0.00017737893,0.00063844107,0.00059140276,0.00072732545,0.0011802494],"category_scores_gemma":[0.0011387543,0.00021086156,0.0004992256,0.00027645082,0.000628223,0.0005814412,0.0004505208,0.0009565677,0.0002202623],"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":[0.00004250311,0.000018502373,0.00043752615,0.0001012356,0.000017154673,0.00013458524,0.00014770881,0.92713785,0.016945548,0.032463938,0.0004059839,0.022147484],"study_design_scores_gemma":[0.000002560165,0.000010454069,0.000044177574,0.000002385253,0.0000016381665,0.000018903407,0.0000040293457,0.99677795,0.0014535681,0.0012546217,0.00042622205,0.0000034635962],"about_ca_topic_score_codex":0.0035639922,"about_ca_topic_score_gemma":0.0027608292,"teacher_disagreement_score":0.0035639922,"about_ca_system_score_codex":0.00062921626,"about_ca_system_score_gemma":0.0007146257,"threshold_uncertainty_score":0.0070865154},"labels":[],"label_agreement":null},{"id":"W2029001775","doi":"10.1002/acs.1158","title":"Iterative adaptive robust control of multivariable CD processes","year":2009,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Multivariable calculus; Control theory (sociology); Discretization; Transfer function; Adaptive control; Robust control; Computer science; Bandwidth (computing); Controller (irrigation); Iterative learning control; Spatial frequency; Control system; Control engineering; Mathematics; Engineering; Control (management); Artificial intelligence","score_opus":0.011853428157129158,"score_gpt":0.22708495284520158,"score_spread":0.2152315246880724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029001775","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042309407,0.00015717177,0.9542376,0.00009152426,0.000025729089,0.000020369094,0.000011087419,0.00020104878,0.0029461745],"genre_scores_gemma":[0.96602964,0.00007984224,0.032111444,0.000035242512,0.000017560202,0.000044799443,0.000019539722,0.000015041709,0.0016469711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957496,0.00013364607,0.000016960608,0.00009740554,0.00013159213,0.000045471083],"domain_scores_gemma":[0.9993765,0.0003093263,0.00012177932,0.000036922975,0.00013963292,0.00001590508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006759913,0.0004523894,0.00039797684,0.00031777527,0.00026178244,0.0006120326,0.00065231527,0.0004090717,0.0011091031],"category_scores_gemma":[0.0016039892,0.00017706784,0.00037791935,0.0002675828,0.0005998788,0.00024591494,0.0008509147,0.0005455953,0.00012832815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006988474,0.000027363554,0.000350783,0.000063307256,0.000038061866,0.00009372693,0.00008801321,0.9290253,0.014319741,0.012223131,0.0002827354,0.043418024],"study_design_scores_gemma":[0.000005740512,0.00003214439,0.00009077787,0.0000017249758,0.0000025732795,0.0000071151626,0.0000041164126,0.99768865,0.00088069256,0.00094406784,0.00033933844,0.0000030386295],"about_ca_topic_score_codex":0.0046547744,"about_ca_topic_score_gemma":0.0018583066,"teacher_disagreement_score":0.0046547744,"about_ca_system_score_codex":0.00042430885,"about_ca_system_score_gemma":0.00045347307,"threshold_uncertainty_score":0.00925535},"labels":[],"label_agreement":null},{"id":"W2029220079","doi":"10.1016/j.precisioneng.2011.11.003","title":"Precision control of a T-type gantry using sensor/actuator averaging and active vibration damping","year":2011,"lang":"en","type":"article","venue":"Precision Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Canada Foundation for Innovation","keywords":"Control theory (sociology); Actuator; PID controller; Linear motor; Vibration; Frequency domain; Crossover; Vibration control; Robustness (evolution); Bandwidth (computing); Engineering; Computer science; Physics; Acoustics; Control engineering","score_opus":0.01534553580956222,"score_gpt":0.21375744419931483,"score_spread":0.19841190838975262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029220079","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14484715,0.00022126289,0.84950185,0.0001985678,0.000115871306,0.00006005995,0.000032734282,0.0006216599,0.0044008736],"genre_scores_gemma":[0.97470653,0.000041152813,0.024487212,0.000017683742,0.000017578066,0.000019069295,0.000009981944,0.000009791574,0.0006909627],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982256,0.000038455746,0.0000106523285,0.0000587182,0.00005179837,0.000017813827],"domain_scores_gemma":[0.9997646,0.000060383245,0.00006132274,0.000033156717,0.00006037415,0.000020017706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034210534,0.00044907333,0.00040331826,0.00014064497,0.00046076335,0.00051270117,0.00057421834,0.00036122088,0.0010525435],"category_scores_gemma":[0.00054528733,0.00015757758,0.0003102453,0.00024023962,0.00039880836,0.00034926893,0.00041128157,0.00042127483,0.00014468002],"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":[0.0010327197,0.000109687004,0.003653287,0.00039150432,0.00013142648,0.00044581993,0.00043297367,0.338265,0.44562873,0.00617603,0.001681433,0.20205136],"study_design_scores_gemma":[0.000076082804,0.00075672043,0.003337615,0.000014083799,0.00004669278,0.00015860709,0.00004143819,0.9594308,0.0331024,0.0010392796,0.0019684013,0.00002777755],"about_ca_topic_score_codex":0.0024592574,"about_ca_topic_score_gemma":0.002839095,"teacher_disagreement_score":0.0024592574,"about_ca_system_score_codex":0.00022628697,"about_ca_system_score_gemma":0.00039756543,"threshold_uncertainty_score":0.004889846},"labels":[],"label_agreement":null},{"id":"W2029762217","doi":"10.1115/imece2010-38962","title":"Position Domain PD Control for Contour Tracking","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Position (finance); Tracking (education); Computer science; Computer vision; Motion control; Motion (physics); Cartesian coordinate system; Artificial intelligence; Match moving; Domain (mathematical analysis); Control theory (sociology); Robot; Mathematics; Control (management)","score_opus":0.004462483209569456,"score_gpt":0.2122848370736032,"score_spread":0.20782235386403375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029762217","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056398576,0.00020271107,0.9908828,0.000053270902,0.000052165575,0.000019782623,0.000007943638,0.00018608397,0.0029553995],"genre_scores_gemma":[0.8435045,0.00050046586,0.14782956,0.00012287789,0.00006134746,0.000117936324,0.000056640893,0.00003319116,0.0077735167],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999824,0.000028225486,0.000008627634,0.00004249048,0.00008665702,0.000010104151],"domain_scores_gemma":[0.99980325,0.000055439352,0.000030430858,0.000024944162,0.000078136625,0.000007836396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029061045,0.0003123638,0.0002346476,0.0002067317,0.00023625742,0.00045478973,0.00046381206,0.00033135127,0.0015002205],"category_scores_gemma":[0.00078524643,0.00011110803,0.00016411064,0.00023569225,0.0003996367,0.00037350744,0.00035395214,0.00049992156,0.00030201997],"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":[0.0003280393,0.0001017912,0.00069694733,0.0004498738,0.00003979804,0.00023839937,0.0002754048,0.3959068,0.08014617,0.06369855,0.0037107992,0.45440742],"study_design_scores_gemma":[0.000027902253,0.00018546476,0.00024142611,0.000014765872,0.0000069153734,0.00009408195,0.000012251686,0.9785245,0.010072188,0.0048614847,0.0059486954,0.000010202847],"about_ca_topic_score_codex":0.00090475957,"about_ca_topic_score_gemma":0.00059083686,"teacher_disagreement_score":0.0015002205,"about_ca_system_score_codex":0.0002839567,"about_ca_system_score_gemma":0.00037958915,"threshold_uncertainty_score":0.005018711},"labels":[],"label_agreement":null},{"id":"W2030262709","doi":"10.1016/j.compchemeng.2015.03.003","title":"A unified data-driven design framework of optimality-based generalized iterative learning control","year":2015,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Iterative learning control; Data-driven; Control theory (sociology); Computer science; Linearization; Controller (irrigation); Convergence (economics); Optimal control; Tracking error; Mathematical optimization; Point (geometry); Domain (mathematical analysis); Trajectory; Iterative method; Control (management); Mathematics; Algorithm; Artificial intelligence; Nonlinear system","score_opus":0.03092988136279253,"score_gpt":0.2421294586305989,"score_spread":0.21119957726780636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030262709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006992705,0.000047788813,0.9981336,0.000043983153,0.000015038234,0.000020128602,0.000010754015,0.000055936678,0.00097347173],"genre_scores_gemma":[0.48649967,0.00042475504,0.5066754,0.00020462272,0.00012810789,0.0005740858,0.0002009411,0.00017440542,0.0051179985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988207,0.00038287355,0.000070742055,0.00017849085,0.00046744515,0.0000796674],"domain_scores_gemma":[0.9990495,0.00031481017,0.00008494879,0.000099615136,0.0004082643,0.00004287545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024820913,0.0010801547,0.001499226,0.0007026708,0.00048981205,0.0015290973,0.0021960177,0.0012952936,0.0028496534],"category_scores_gemma":[0.0038451876,0.0006042793,0.0010144685,0.0006645863,0.0012956539,0.0012041144,0.0023450938,0.0013882681,0.0006814662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005183218,0.00003996901,0.00018571432,0.00014941077,0.000041639432,0.00006497058,0.00009606061,0.7960866,0.0032316106,0.1597972,0.000963188,0.039291773],"study_design_scores_gemma":[0.0000075664466,0.000029751356,0.00002215788,0.0000071419804,0.000005093795,0.0000070064334,0.0000028216157,0.9848263,0.0003949681,0.01397049,0.00072058395,0.000006045992],"about_ca_topic_score_codex":0.0031646655,"about_ca_topic_score_gemma":0.0029551857,"teacher_disagreement_score":0.0031646655,"about_ca_system_score_codex":0.00090740743,"about_ca_system_score_gemma":0.0020917582,"threshold_uncertainty_score":0.013126671},"labels":[],"label_agreement":null},{"id":"W2030570659","doi":"10.1021/ie048811p","title":"Iterative Learning Control for Final Batch Product Quality Using Partial Least Squares Models","year":2005,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Partial least squares regression; Iterative learning control; Latent variable; Variable (mathematics); Computer science; Trajectory; Product (mathematics); Process (computing); Mathematical optimization; Quality (philosophy); Least-squares function approximation; Batch processing; Control theory (sociology); Algorithm; Control (management); Mathematics; Artificial intelligence; Statistics; Machine learning","score_opus":0.20906618313340036,"score_gpt":0.37641199333801434,"score_spread":0.16734581020461398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030570659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008783791,0.00007622827,0.98986185,0.000052975945,0.000010355587,0.00002487552,0.000010138454,0.00022887127,0.0009509036],"genre_scores_gemma":[0.8312998,0.00020441496,0.16496633,0.00007461506,0.000026564812,0.00028777786,0.00009503649,0.000085617685,0.0029598163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909556,0.0002600929,0.000042374453,0.00021433951,0.0003067927,0.00008081574],"domain_scores_gemma":[0.9981402,0.0010067998,0.00028151696,0.00009986608,0.00043622707,0.000035319685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021128724,0.0009824693,0.0008000447,0.00036523817,0.00045655147,0.0012411689,0.0012935633,0.00069927215,0.0009711462],"category_scores_gemma":[0.0038546529,0.00045009714,0.0006748707,0.0005154806,0.0012685142,0.0009147923,0.00094798073,0.0014873984,0.00031391525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008060851,0.00005211688,0.00026698032,0.000083998675,0.000032440446,0.00002394535,0.000103007565,0.9296992,0.0064772977,0.008317368,0.00045152358,0.054411523],"study_design_scores_gemma":[0.000006830098,0.000040485615,0.000050017097,0.0000022318347,0.0000036842382,0.0000034738453,0.0000023205394,0.99710244,0.0011868525,0.0014277118,0.00016940184,0.000004532538],"about_ca_topic_score_codex":0.0050019044,"about_ca_topic_score_gemma":0.003851558,"teacher_disagreement_score":0.0050019044,"about_ca_system_score_codex":0.00094165554,"about_ca_system_score_gemma":0.0013517032,"threshold_uncertainty_score":0.011174023},"labels":[],"label_agreement":null},{"id":"W2032644925","doi":"10.1109/isie.2006.295619","title":"Terminal Iterative Learning Control Applied to Thermoforming Machine Reheat Phase","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"","keywords":"Thermoforming; Setpoint; Iterative learning control; Computer science; Phase (matter); Terminal (telecommunication); Control (management); Control theory (sociology); Algorithm; Mechanical engineering; Artificial intelligence; Engineering; Physics","score_opus":0.003225830906748019,"score_gpt":0.21255500445052844,"score_spread":0.20932917354378042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032644925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028669422,0.00015523579,0.9673003,0.00007443516,0.00004758093,0.000056707642,0.000007108856,0.0006469494,0.0030421969],"genre_scores_gemma":[0.92360914,0.000096526615,0.07428095,0.000057291058,0.00002089598,0.00009865033,0.000020347437,0.000038227856,0.001777981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946076,0.0001466662,0.000040086023,0.00011321398,0.00018469225,0.000054625292],"domain_scores_gemma":[0.99898416,0.0003973284,0.00012842091,0.000090360394,0.00036426462,0.000035479887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009232373,0.00044096675,0.00043702454,0.00030259063,0.00037519386,0.0005440012,0.0007882828,0.00050494325,0.0009800998],"category_scores_gemma":[0.0024724773,0.00015030419,0.00029330264,0.00032845305,0.000787305,0.00037843833,0.0004577078,0.0005961606,0.0001697861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002897994,0.00010024009,0.000854925,0.00016134919,0.000034959765,0.00010387706,0.00026514364,0.7152472,0.030385697,0.009106087,0.0010325458,0.24241811],"study_design_scores_gemma":[0.000008613143,0.00008338442,0.00011656101,0.0000039642173,0.000003877641,0.000014481639,0.0000034477798,0.9927497,0.0059214295,0.0006407151,0.00044748455,0.0000063805655],"about_ca_topic_score_codex":0.0040430054,"about_ca_topic_score_gemma":0.0019153239,"teacher_disagreement_score":0.0040430054,"about_ca_system_score_codex":0.0005629218,"about_ca_system_score_gemma":0.0006364717,"threshold_uncertainty_score":0.008038938},"labels":[],"label_agreement":null},{"id":"W2032917343","doi":"10.1016/j.ijmachtools.2014.08.004","title":"A generalized on-line estimation and control of five-axis contouring errors of CNC machine tools","year":2014,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Contouring; Screw theory; Control theory (sociology); Jacobian matrix and determinant; Modular design; Kinematics; Machine tool; Servo; Position (finance); Numerical control; Line (geometry); Function (biology); Engineering; Control engineering; Computer science; Robot; Mathematics; Control (management); Engineering drawing; Machining; Artificial intelligence; Geometry; Mechanical engineering","score_opus":0.009757848676033916,"score_gpt":0.24794357961306093,"score_spread":0.23818573093702702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032917343","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0122239785,0.00009301508,0.9865014,0.000026443971,0.00002425201,0.000029428224,0.000010508237,0.00025839737,0.00083262846],"genre_scores_gemma":[0.66841936,0.00019508594,0.3289148,0.00004777177,0.00003609519,0.00011749261,0.0000755701,0.00009353187,0.002100332],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992786,0.00009075369,0.00003452564,0.00015675195,0.0004041254,0.00003525101],"domain_scores_gemma":[0.998958,0.000191625,0.00019954714,0.00016696817,0.00045712508,0.000026665191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074844185,0.0008329703,0.00060547004,0.0005223956,0.0003592344,0.00081105746,0.0010215539,0.00050799403,0.00061857223],"category_scores_gemma":[0.0022502516,0.0002782585,0.00029699816,0.00046906056,0.0006339665,0.0005612259,0.00062850927,0.00072504964,0.00017853566],"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":[0.00018113625,0.00006559381,0.0012167856,0.00025423226,0.000043733547,0.000106646396,0.0004152589,0.3053429,0.077176124,0.008075818,0.0013105558,0.60581124],"study_design_scores_gemma":[0.000019556228,0.00010961365,0.0010882178,0.000020380165,0.000013320402,0.00007738254,0.000015031462,0.9756999,0.0193873,0.00091247284,0.002628745,0.000028162096],"about_ca_topic_score_codex":0.0054142927,"about_ca_topic_score_gemma":0.0045095677,"teacher_disagreement_score":0.0054142927,"about_ca_system_score_codex":0.00050875504,"about_ca_system_score_gemma":0.0009639151,"threshold_uncertainty_score":0.010765612},"labels":[],"label_agreement":null},{"id":"W2033528236","doi":"10.1109/tac.2003.817004","title":"Authors' Reply [Comments on \"A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties\"]","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Parametric statistics; Trajectory; Control theory (sociology); Nonlinear system; Control (management); Computer science; Function (biology); Energy (signal processing); Control engineering; Mathematics; Artificial intelligence; Engineering; Statistics","score_opus":0.008079017516365675,"score_gpt":0.20555655800677952,"score_spread":0.19747754049041386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033528236","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024119236,0.0007649129,0.00070156757,0.92908275,0.06733892,0.00003235889,0.00023269931,0.000109681576,0.0014960394],"genre_scores_gemma":[0.0022734264,0.0005842895,0.000516899,0.9660552,0.026196834,0.0000831425,0.000052706848,0.000046180186,0.0041913143],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931853,0.0009623513,0.001268789,0.0010229015,0.002842133,0.0007185208],"domain_scores_gemma":[0.9782456,0.008972053,0.0016301207,0.0006383276,0.009538759,0.0009750748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007973773,0.0013815088,0.0018965815,0.0013025898,0.0041931947,0.0033935388,0.0047463845,0.046717938,0.011203252],"category_scores_gemma":[0.053969204,0.0012768832,0.0025944703,0.0011374559,0.0035932318,0.004637237,0.0022842295,0.044558715,0.008557903],"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":[0.00005339073,0.000014002665,0.00020461586,0.000116166964,0.00002099715,0.00030532075,0.0001733007,0.000090195244,0.00013760677,0.0024108964,0.9928844,0.0035891517],"study_design_scores_gemma":[0.00011350339,0.000071804345,0.0024820315,0.0004042058,0.000086962515,0.0005818225,0.0007227282,0.00069950894,0.00093716686,0.008634279,0.9850557,0.00021022976],"about_ca_topic_score_codex":0.011836662,"about_ca_topic_score_gemma":0.013005915,"teacher_disagreement_score":0.046717938,"about_ca_system_score_codex":0.0044971947,"about_ca_system_score_gemma":0.0045869243,"threshold_uncertainty_score":0.04216987},"labels":[],"label_agreement":null},{"id":"W2033537431","doi":"10.2316/journal.201.2009.3.201-1904","title":"AUTOMATIC GAIN CONTROL FOR UNITY FEEDBACK CONTROL SYSTEMS","year":2009,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Automatic gain control; Loop gain; Open-loop gain; Computer science; Root locus; Control system; Adaptive control; Control engineering; Control (management); Engineering; Artificial intelligence; Bandwidth (computing)","score_opus":0.011054244000568652,"score_gpt":0.22396670575282696,"score_spread":0.2129124617522583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033537431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009941964,0.00036183864,0.9852042,0.000052057356,0.00005061539,0.000021667565,0.000008063119,0.00026900365,0.00409054],"genre_scores_gemma":[0.91030884,0.00039225456,0.08476284,0.000078725454,0.00006431594,0.0001163733,0.000038837352,0.000042839405,0.0041949064],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951184,0.00010762854,0.000019395551,0.000070599395,0.00025813896,0.000032449083],"domain_scores_gemma":[0.99955267,0.00018043614,0.000056214267,0.000040263818,0.00015876457,0.00001166042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004280497,0.0004270658,0.00023698567,0.0002976538,0.00031503418,0.00066941296,0.0005576398,0.00036225407,0.0020047552],"category_scores_gemma":[0.0016086287,0.00012181281,0.00022676343,0.00023932195,0.00063128886,0.0005376314,0.00042470157,0.00062493945,0.00033448485],"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":[0.00030401468,0.000069547954,0.0005687851,0.0005457989,0.000052626678,0.00028803907,0.0007153117,0.29183456,0.09718458,0.2994815,0.003019856,0.30593535],"study_design_scores_gemma":[0.000057783793,0.00038287084,0.0004063555,0.00004629414,0.000021808946,0.00014301858,0.000044631546,0.9173876,0.016114984,0.051200323,0.014154325,0.000040019062],"about_ca_topic_score_codex":0.0015933575,"about_ca_topic_score_gemma":0.0010937252,"teacher_disagreement_score":0.0020047552,"about_ca_system_score_codex":0.0004758482,"about_ca_system_score_gemma":0.00042467305,"threshold_uncertainty_score":0.006706536},"labels":[],"label_agreement":null},{"id":"W2036503395","doi":"10.1109/cdc.2014.7039947","title":"Design of norm-optimal iterative learning controllers: The effect of an iteration-domain Kalman filter for disturbance estimation","year":2014,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Iterative learning control; Kalman filter; Control theory (sociology); Computer science; Convergence (economics); Benchmark (surveying); Norm (philosophy); Noise (video); Algorithm; Artificial intelligence; Control (management); Law","score_opus":0.005446947291913395,"score_gpt":0.2193389766162765,"score_spread":0.2138920293243631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036503395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067688953,0.00007012741,0.9920725,0.00004940229,0.000014310542,0.000030112968,0.0000035743376,0.00013500356,0.00085602194],"genre_scores_gemma":[0.7410346,0.00018110446,0.25740358,0.000096671785,0.000029375093,0.00020653862,0.000026032112,0.000053513497,0.00096860743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993537,0.00018758263,0.00004697618,0.00013077856,0.00023379322,0.00004729597],"domain_scores_gemma":[0.99815255,0.0009161068,0.00024526706,0.000166375,0.00047057,0.00004911792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019948606,0.0006240817,0.000492574,0.00029047526,0.0002837183,0.0007399557,0.0010262248,0.00084544724,0.0006882682],"category_scores_gemma":[0.0056906072,0.00029595994,0.00030506027,0.00025338144,0.0010387602,0.000861893,0.000735109,0.00081147224,0.00021164306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015248585,0.00010549179,0.0008695992,0.00020855965,0.000042674797,0.00007835896,0.0001857983,0.8507571,0.01814388,0.021026773,0.0006782451,0.107751034],"study_design_scores_gemma":[0.000013246484,0.000075167416,0.0000960353,0.000008070099,0.000005598995,0.000014569812,0.0000051459588,0.99452645,0.003644877,0.0011075306,0.00049657,0.000006604997],"about_ca_topic_score_codex":0.0018884579,"about_ca_topic_score_gemma":0.0013362112,"teacher_disagreement_score":0.0019948606,"about_ca_system_score_codex":0.000540364,"about_ca_system_score_gemma":0.0011220055,"threshold_uncertainty_score":0.0105499625},"labels":[],"label_agreement":null},{"id":"W2039195440","doi":"10.1109/acc.2012.6315521","title":"Iterative learning model predictive controller of plastic sheet temperature for a thermoforming process","year":2012,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Thermoforming; Iterative learning control; Model predictive control; Process (computing); Computer science; Control theory (sociology); Actuator; Controller (irrigation); Process control; Control engineering; Iterative and incremental development; Nonlinear system; Temperature control; Control (management); Engineering; Artificial intelligence; Mechanical engineering","score_opus":0.007090304920664784,"score_gpt":0.2267596780158923,"score_spread":0.21966937309522752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039195440","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07298175,0.00040779056,0.9189007,0.0002323545,0.00008716967,0.00008241497,0.000037725487,0.00083603396,0.0064341673],"genre_scores_gemma":[0.9724698,0.00016853868,0.025144087,0.000042729716,0.000019590123,0.00010414823,0.000037464808,0.000019993104,0.0019937013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976796,0.000039428745,0.000012087911,0.000062461804,0.00008588367,0.000032146603],"domain_scores_gemma":[0.99967587,0.0001240051,0.000067520916,0.000023677783,0.00009691563,0.0000119999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000539403,0.0005664795,0.00059380045,0.000285641,0.00044815044,0.00078958116,0.00084427505,0.00065933744,0.001304029],"category_scores_gemma":[0.0010944632,0.00022692412,0.0003984183,0.0003098876,0.00046157287,0.00032769926,0.0005184974,0.00077248376,0.00022847965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087123466,0.00005266687,0.00033533416,0.000080812446,0.000025175977,0.00007599551,0.00010266916,0.9412734,0.00980694,0.0020442235,0.0005735876,0.045542087],"study_design_scores_gemma":[0.0000052667315,0.00002705364,0.00008330446,0.0000027135952,0.0000034945047,0.00000611517,0.0000024413707,0.9986142,0.00090313493,0.0001922758,0.00015660649,0.0000033859083],"about_ca_topic_score_codex":0.0072244173,"about_ca_topic_score_gemma":0.0066139796,"teacher_disagreement_score":0.0072244173,"about_ca_system_score_codex":0.00059464655,"about_ca_system_score_gemma":0.0010009864,"threshold_uncertainty_score":0.014364719},"labels":[],"label_agreement":null},{"id":"W2044777461","doi":"10.1115/1.4005503","title":"Integrator Leakage for Limit Cycle Suppression in Servo Mechanisms With Stiction","year":2012,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stiction; Control theory (sociology); Limit cycle; PID controller; Integrator; Servo; Limit (mathematics); Computer science; Leakage (economics); Controller (irrigation); Mathematics; Control engineering; Physics; Engineering; Mathematical analysis; Control (management); Artificial intelligence; Quantum mechanics; Bandwidth (computing)","score_opus":0.0076309437671862835,"score_gpt":0.1914968761018722,"score_spread":0.1838659323346859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044777461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05024806,0.00038833384,0.94731224,0.000073468786,0.000015748938,0.000021474718,0.0000053404556,0.00020588057,0.0017295002],"genre_scores_gemma":[0.94179684,0.00031180034,0.05697596,0.0000416981,0.000013692811,0.00003553993,0.000011591385,0.000038368395,0.00077443675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996793,0.00007717352,0.000018696594,0.0000314952,0.00016609735,0.000027195314],"domain_scores_gemma":[0.9991392,0.0005235186,0.00012863944,0.00007114205,0.0001114264,0.00002602103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008651567,0.00033235797,0.0005504251,0.00045497506,0.00028493573,0.000587265,0.0004298054,0.00051806,0.0008057043],"category_scores_gemma":[0.0036995716,0.00023604532,0.00030411335,0.00027860518,0.00074125157,0.00070456846,0.0008161581,0.00046701587,0.000118839176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041107275,0.00010582877,0.0016922512,0.00066143734,0.000074157244,0.00053661515,0.0008697142,0.5263755,0.14476535,0.15353914,0.0006802715,0.17028868],"study_design_scores_gemma":[0.000012652332,0.00017764147,0.000317096,0.000024361925,0.0000112930165,0.00016097468,0.000020311327,0.9672175,0.0111667095,0.02023424,0.00064264843,0.000014541844],"about_ca_topic_score_codex":0.00024275536,"about_ca_topic_score_gemma":0.00021395466,"teacher_disagreement_score":0.0008651567,"about_ca_system_score_codex":0.00032242792,"about_ca_system_score_gemma":0.00043565902,"threshold_uncertainty_score":0.004575491},"labels":[],"label_agreement":null},{"id":"W2044832602","doi":"10.1155/2008/289391","title":"Robust Design of Terminal ILC with H<sub><i>∞</i></sub> Mixed Sensitivity Approach for a Thermoforming Oven","year":2008,"lang":"en","type":"article","venue":"Journal of Control Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermoforming; Sensitivity (control systems); Terminal (telecommunication); Robust control; Control theory (sociology); Engineering; Mechanical engineering; Computer science; Control (management); Control system","score_opus":0.013850337815006135,"score_gpt":0.1749144348141848,"score_spread":0.16106409699917867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044832602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011835654,0.000082072314,0.98549277,0.00005138649,0.000016212633,0.000031717467,0.000008546702,0.00020011426,0.0022815908],"genre_scores_gemma":[0.91452265,0.000098699544,0.08316968,0.000083381135,0.000022614871,0.00012432037,0.000030429896,0.000039718354,0.0019085159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939287,0.0001381148,0.000031115316,0.00015255582,0.000215698,0.00006958678],"domain_scores_gemma":[0.9991241,0.00033290824,0.00018446513,0.00005141578,0.00026750466,0.000039548897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011221548,0.0007746613,0.00056013255,0.00028778243,0.00030852243,0.00087189145,0.0009912121,0.0006555435,0.0015315455],"category_scores_gemma":[0.0016582665,0.00034023725,0.00050340756,0.00018868929,0.0009360754,0.0004722479,0.0007438521,0.0009512686,0.0002931606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027990039,0.00006318222,0.00043111213,0.00019878068,0.000075193915,0.00009208507,0.00019541652,0.87315047,0.03520424,0.0141939465,0.00070323487,0.07541246],"study_design_scores_gemma":[0.000014390183,0.00016177105,0.00010385991,0.000008416275,0.000010093051,0.00001416895,0.000005897069,0.993064,0.0050205127,0.0009930742,0.00059319416,0.000010693896],"about_ca_topic_score_codex":0.0016415025,"about_ca_topic_score_gemma":0.0010334527,"teacher_disagreement_score":0.0016415025,"about_ca_system_score_codex":0.00071186846,"about_ca_system_score_gemma":0.00082031934,"threshold_uncertainty_score":0.0059346557},"labels":[],"label_agreement":null},{"id":"W2045114853","doi":"10.1115/detc2005-84333","title":"An Adaptive Evolutionary Switching Control for Robot Manipulators","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Trajectory; Convergence (economics); Computer science; Context (archaeology); Feed forward; Control engineering; Robot; Controller (irrigation); Control (management); Engineering; Artificial intelligence","score_opus":0.009941561212689588,"score_gpt":0.22597999652251724,"score_spread":0.21603843530982766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045114853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029078845,0.0002776639,0.9645869,0.00009401928,0.000079641766,0.000036900983,0.0000081928665,0.00020705607,0.0056308564],"genre_scores_gemma":[0.9138153,0.00030658243,0.08075381,0.000096266696,0.000049651815,0.000118388045,0.000030146264,0.000014548519,0.004815268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984264,0.000030170766,0.0000075824664,0.00003571786,0.000069512076,0.000014350458],"domain_scores_gemma":[0.99989665,0.000033889006,0.00001609208,0.000008880766,0.000034859815,0.00000970242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002869818,0.00033310312,0.00021722648,0.0002487162,0.00025724032,0.0003287732,0.00055259507,0.0003420064,0.0009623335],"category_scores_gemma":[0.00042995988,0.000099206925,0.00027006867,0.00021086355,0.00043949464,0.0002564085,0.00031631082,0.00040133542,0.00009271719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015349041,0.00009558927,0.0009189439,0.00022603098,0.00008305938,0.00031594982,0.00028457755,0.51587903,0.07040579,0.063876726,0.0015571415,0.34620368],"study_design_scores_gemma":[0.000026773832,0.00019721944,0.00036328353,0.00000839969,0.000011835502,0.000077014905,0.000011876603,0.9870896,0.0038587407,0.005182626,0.0031590927,0.000013546906],"about_ca_topic_score_codex":0.0011523647,"about_ca_topic_score_gemma":0.0008502184,"teacher_disagreement_score":0.0011523647,"about_ca_system_score_codex":0.00023223004,"about_ca_system_score_gemma":0.00025558792,"threshold_uncertainty_score":0.003219366},"labels":[],"label_agreement":null},{"id":"W2045132862","doi":"10.1007/s00170-006-0721-1","title":"Clad height control in laser solid freeform fabrication using a feedforward PID controller","year":2006,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":133,"is_retracted":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":"Feed forward; PID controller; Control theory (sociology); Overshoot (microwave communication); Controller (irrigation); Nonlinear system; Fabrication; Inverse; Engineering; Control engineering; Computer science; Mathematics; Control (management); Physics; Temperature control; Artificial intelligence","score_opus":0.004132015645729226,"score_gpt":0.2242964057382397,"score_spread":0.22016439009251046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045132862","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3340764,0.00031730803,0.65758234,0.00013702942,0.000104348335,0.000050371622,0.000020539823,0.00073465926,0.006977027],"genre_scores_gemma":[0.9584655,0.00006170991,0.039180912,0.000019064986,0.000006519447,0.000012866252,0.000006870697,0.00001837912,0.0022282754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997739,0.000020647714,0.000009068587,0.00004162755,0.00013089817,0.000023948343],"domain_scores_gemma":[0.99964404,0.00013366497,0.00006661306,0.000043614684,0.0000927484,0.000019305086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032993025,0.00022295906,0.00022646652,0.00016173784,0.00044388272,0.0004917338,0.00043437496,0.000327843,0.00065434887],"category_scores_gemma":[0.0005858015,0.00027812854,0.00014904,0.00013936339,0.00045375564,0.00049505016,0.00048620626,0.0003363749,0.00012368885],"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":[0.0003930041,0.00016233217,0.0015434203,0.00013614628,0.000023180597,0.0001223477,0.00032208266,0.23761937,0.58924854,0.0040156147,0.00059537723,0.16581859],"study_design_scores_gemma":[0.000026372874,0.00015257984,0.0011435077,0.000008456734,0.00000953855,0.000046291527,0.00002136869,0.8591438,0.1380374,0.0005933317,0.0008013252,0.000016065518],"about_ca_topic_score_codex":0.0021860246,"about_ca_topic_score_gemma":0.0057680593,"teacher_disagreement_score":0.0021860246,"about_ca_system_score_codex":0.00053241523,"about_ca_system_score_gemma":0.00061517244,"threshold_uncertainty_score":0.0043465495},"labels":[],"label_agreement":null},{"id":"W2045443006","doi":"10.1109/cca.2014.6981409","title":"Constrained control of the synchromesh operating state in an electric vehicle's clutchless automated manual transmission","year":2014,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Clutch; Control theory (sociology); Synchronizer; Controller (irrigation); Transmission (telecommunications); Control system; Process (computing); Computer science; Electric vehicle; Control engineering; Engineering; Control (management); Automotive engineering; Power (physics); Artificial intelligence","score_opus":0.003334461250520956,"score_gpt":0.21483684282279122,"score_spread":0.21150238157227028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045443006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5492323,0.00020301255,0.4421094,0.00018637741,0.000040669605,0.000069119735,0.00007770408,0.0003318143,0.0077496087],"genre_scores_gemma":[0.99822205,0.000023982217,0.0013522703,0.000005421886,0.0000025128413,0.000014614584,0.00000921311,0.0000037110126,0.00036624723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997881,0.00004904105,0.0000115950825,0.000055547956,0.000058784026,0.000036986756],"domain_scores_gemma":[0.99954,0.00023391577,0.0001132263,0.000024469278,0.0000662779,0.000022175493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031752515,0.00051697105,0.00036476928,0.00018429487,0.0003217861,0.0008292344,0.00038404542,0.0003974752,0.00086465885],"category_scores_gemma":[0.0010785065,0.00018789827,0.00019023239,0.0001690361,0.00052150554,0.00037137925,0.00058520713,0.00037683468,0.00007503417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038294506,0.00010835684,0.0013618324,0.00019040337,0.000039573853,0.00036894312,0.0003877173,0.93401974,0.023919294,0.00713704,0.00047186314,0.031612244],"study_design_scores_gemma":[0.000016443695,0.00011050304,0.000690404,0.000006104422,0.0000067691567,0.000016574626,0.000034432458,0.99605334,0.0020872876,0.0007258998,0.0002455787,0.000006587538],"about_ca_topic_score_codex":0.005816266,"about_ca_topic_score_gemma":0.0044716075,"teacher_disagreement_score":0.005816266,"about_ca_system_score_codex":0.00033301103,"about_ca_system_score_gemma":0.00043180105,"threshold_uncertainty_score":0.011564851},"labels":[],"label_agreement":null},{"id":"W2045861766","doi":"10.1243/0954406011520670","title":"Mechatronics design for a programmable closed-loop mechanism","year":2001,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Mechatronics; Control theory (sociology); Control engineering; Torque; Computer science; Redistribution (election); Stiffness; Engineering; Mechanism (biology); Controller (irrigation); Control (management); Artificial intelligence; Structural engineering; Physics","score_opus":0.016261437160552675,"score_gpt":0.22825817286610378,"score_spread":0.2119967357055511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045861766","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011190025,0.00016169899,0.9831009,0.00014418967,0.000059167993,0.00006656015,0.000011383202,0.00020635338,0.005059799],"genre_scores_gemma":[0.58200485,0.00033509408,0.40749937,0.00013849641,0.000049896193,0.00028773336,0.00003780202,0.000037642578,0.009609176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998147,0.00003202048,0.000009232361,0.000035262623,0.00009749582,0.0000114291715],"domain_scores_gemma":[0.9998504,0.000048396094,0.000024275214,0.00002343447,0.00004293139,0.000010477434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045933304,0.00025335292,0.00018935,0.00018979792,0.00021283256,0.0006552743,0.00058743265,0.0005797128,0.0027128572],"category_scores_gemma":[0.0006098607,0.00017427225,0.00025591248,0.00012313423,0.00039322683,0.000352761,0.00035135302,0.00047883645,0.0005621301],"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":[0.00013294643,0.00011522603,0.00072078867,0.0005143601,0.000059462847,0.00029085606,0.00028784398,0.27873948,0.17318258,0.30455118,0.0020710612,0.23933414],"study_design_scores_gemma":[0.00015175747,0.0005725446,0.0005507042,0.000050785817,0.000031903146,0.00032319583,0.000036750425,0.9041163,0.023164041,0.039253496,0.031719442,0.000029036237],"about_ca_topic_score_codex":0.00025009518,"about_ca_topic_score_gemma":0.0002535982,"teacher_disagreement_score":0.0027128572,"about_ca_system_score_codex":0.0002377962,"about_ca_system_score_gemma":0.00052091235,"threshold_uncertainty_score":0.009075344},"labels":[],"label_agreement":null},{"id":"W2047586378","doi":"10.1016/s0890-6955(03)00085-3","title":"Implementation and validation of 3-dimensional dynamic interpolation using an FPGA based controller","year":2003,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpolation (computer graphics); Field-programmable gate array; Controller (irrigation); Computer science; Process (computing); Trajectory; Control engineering; Field (mathematics); Control theory (sociology); Engineering; Control (management); Computer hardware; Mathematics; Artificial intelligence; Programming language","score_opus":0.010133572975018053,"score_gpt":0.2809820773797956,"score_spread":0.27084850440477753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047586378","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4621856,0.00029893735,0.50894606,0.00031531136,0.00042916546,0.0006820814,0.0005900156,0.013359193,0.013193688],"genre_scores_gemma":[0.90637124,0.00005890898,0.09069522,0.000049790902,0.000007630317,0.00016773032,0.00018739527,0.00008343752,0.0023785578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996364,0.00006754517,0.000025553627,0.00004237957,0.00018191425,0.000046213827],"domain_scores_gemma":[0.99899024,0.00031649257,0.00008736369,0.0002141022,0.0003531814,0.000038535218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067405275,0.00053642003,0.0003749109,0.0005006271,0.00042282918,0.00052725244,0.00093259505,0.0005824085,0.005055643],"category_scores_gemma":[0.0015140062,0.000225153,0.00021953184,0.0002464675,0.00027872474,0.00032647655,0.00030247724,0.00041473165,0.0006130169],"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":[0.0025896921,0.00054837664,0.007856644,0.0010284911,0.00015907842,0.0009002562,0.0006782651,0.3946991,0.21276021,0.0070047094,0.0053725974,0.36640263],"study_design_scores_gemma":[0.0003240148,0.001117395,0.004950982,0.000052017436,0.000052514682,0.0003056051,0.00008123547,0.7367599,0.24531057,0.00048834947,0.010501254,0.000056196273],"about_ca_topic_score_codex":0.0044686175,"about_ca_topic_score_gemma":0.0037767338,"teacher_disagreement_score":0.005055643,"about_ca_system_score_codex":0.0004476078,"about_ca_system_score_gemma":0.00089855556,"threshold_uncertainty_score":0.016912758},"labels":[],"label_agreement":null},{"id":"W2048658162","doi":"10.1115/imece2005-81814","title":"Flying Height Control for a 2-DOF Tripad Slider in Hard Disk Drives With Switched Regulator","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Parameterized complexity; Slider; Control theory (sociology); Regulator; Controller (irrigation); Hard disk drive performance characteristics; Computer science; Head (geology); Linear regulator; Flying height; Stability (learning theory); Set (abstract data type); Control (management); Engineering; Computer hardware; Geology","score_opus":0.006483089771813428,"score_gpt":0.20323256075710275,"score_spread":0.19674947098528933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048658162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19675604,0.0003960233,0.79545397,0.000214005,0.0000903412,0.00005885014,0.000046325098,0.00062566035,0.0063586473],"genre_scores_gemma":[0.98819834,0.00009244196,0.010203042,0.000026672229,0.000011726679,0.000029469174,0.000014718668,0.0000083497425,0.0014153321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998522,0.000035139736,0.000006610493,0.00003671962,0.000051250398,0.000018106524],"domain_scores_gemma":[0.99985504,0.000062030675,0.000032324795,0.000012049267,0.00003033192,0.000008333487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026454663,0.00027148754,0.00027464263,0.00014680681,0.00026850795,0.00048230967,0.0005063426,0.00040673782,0.0010363004],"category_scores_gemma":[0.0004363132,0.00016805751,0.00026961663,0.0001298243,0.00040964907,0.0002654547,0.00035058378,0.0003512872,0.00019501515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040988886,0.000097739015,0.0013477332,0.00026561937,0.00006965622,0.00032778195,0.0004953321,0.7141813,0.17493191,0.011021457,0.0014791744,0.095372394],"study_design_scores_gemma":[0.000016186501,0.00014811961,0.00024071506,0.0000041688245,0.000009156875,0.000022601691,0.000016429223,0.9949338,0.0035565526,0.000487257,0.00055633736,0.000008657592],"about_ca_topic_score_codex":0.0033886496,"about_ca_topic_score_gemma":0.002628128,"teacher_disagreement_score":0.0033886496,"about_ca_system_score_codex":0.0002749696,"about_ca_system_score_gemma":0.00028127787,"threshold_uncertainty_score":0.0067378283},"labels":[],"label_agreement":null},{"id":"W2049085422","doi":"10.1016/s0007-8506(07)62943-6","title":"Sliding Mode Controller Design for High Speed Feed Drives","year":2000,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Feed forward; Machining; Servo; Compensation (psychology); Servomechanism; Controller (irrigation); Control engineering; Trajectory; Machine tool; Engineering; Sliding mode control; Electronic speed control; Servo control; Mode (computer interface); Computer science; Control (management); Mechanical engineering; Artificial intelligence; Nonlinear system","score_opus":0.03338020918650502,"score_gpt":0.268041418823664,"score_spread":0.23466120963715897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049085422","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020460173,0.00042929698,0.97371846,0.00010663935,0.00008237496,0.000046466062,0.000017928003,0.00024216033,0.004896513],"genre_scores_gemma":[0.9193421,0.0005084611,0.07007117,0.000085004795,0.000060122755,0.0001700139,0.000064951004,0.000043210246,0.00965488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998153,0.00003772354,0.000011919266,0.000026969623,0.00009177628,0.000016323245],"domain_scores_gemma":[0.9997136,0.00010069414,0.00002889462,0.0000241594,0.00012256046,0.000010203817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043952838,0.0004567108,0.00041737882,0.00029929687,0.00033176536,0.00087242573,0.000569002,0.0008016568,0.0026695381],"category_scores_gemma":[0.0010345416,0.0002566969,0.00021394016,0.00029627667,0.00035905142,0.0004201178,0.00042860603,0.0006659266,0.00045691067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035908647,0.00012478558,0.0006477008,0.00058434956,0.00008308145,0.00021725665,0.0005034785,0.61124927,0.03919978,0.021669125,0.003422074,0.32194],"study_design_scores_gemma":[0.000036381214,0.0002299219,0.00032539328,0.000020091617,0.000014242226,0.000042250067,0.00003144427,0.9870221,0.0052202228,0.0047579105,0.0022884835,0.000011611092],"about_ca_topic_score_codex":0.0020105478,"about_ca_topic_score_gemma":0.0020145809,"teacher_disagreement_score":0.0026695381,"about_ca_system_score_codex":0.00024824098,"about_ca_system_score_gemma":0.00045723355,"threshold_uncertainty_score":0.008930504},"labels":[],"label_agreement":null},{"id":"W2049124078","doi":"10.1007/s12555-012-9401-0","title":"Robust iterative learning controller design using the performance weighting function of feedback control systems","year":2014,"lang":"en","type":"article","venue":"International Journal of Control Automation and Systems","topic":"Iterative Learning 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":"Iterative learning control; Weighting; Control theory (sociology); Computer science; Controller (irrigation); Control engineering; Function (biology); Robust control; Control (management); Control system; Artificial intelligence; Engineering","score_opus":0.015886590629270364,"score_gpt":0.21571065151931504,"score_spread":0.19982406089004467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049124078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024067443,0.00008092675,0.996636,0.000023693086,0.000019728468,0.00002085461,0.0000047359977,0.00011277713,0.000694659],"genre_scores_gemma":[0.70384276,0.0003939201,0.2912391,0.00011414125,0.00007525091,0.00044777227,0.000111896414,0.0001431035,0.0036320663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994311,0.00011756716,0.00004103671,0.00012591384,0.00022870634,0.00005566916],"domain_scores_gemma":[0.9991756,0.0002726192,0.00010126227,0.000056635945,0.00037320226,0.00002071407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012737784,0.0010644251,0.0009379735,0.0004740427,0.0003447978,0.0010810719,0.0011853413,0.0010619876,0.0013608828],"category_scores_gemma":[0.0028186764,0.00039878328,0.0006108776,0.0004203584,0.0005418814,0.0008985757,0.0009099373,0.0009754369,0.00054477947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015373761,0.00008109287,0.000292717,0.00036251813,0.00011435567,0.00010460583,0.0001652809,0.7748002,0.029059334,0.022773303,0.0012909744,0.17080186],"study_design_scores_gemma":[0.00001302983,0.00007517403,0.00008211157,0.000009199914,0.000010476006,0.000017172417,0.0000046141554,0.9950978,0.0026246412,0.0015650046,0.0004923247,0.00000853076],"about_ca_topic_score_codex":0.002403285,"about_ca_topic_score_gemma":0.001695482,"teacher_disagreement_score":0.002403285,"about_ca_system_score_codex":0.0004832628,"about_ca_system_score_gemma":0.0010209841,"threshold_uncertainty_score":0.0067364573},"labels":[],"label_agreement":null},{"id":"W2050068573","doi":"10.1109/icca.2013.6564907","title":"Hybrid PD sliding mode control of a two degree-of-freedom parallel robotic manipulator","year":2013,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parallel manipulator; Control theory (sociology); Manipulator (device); Degree (music); Mode (computer interface); Computer science; Sliding mode control; Robot manipulator; Control (management); Control engineering; Robot; Artificial intelligence; Engineering; Physics; Nonlinear system; Operating system; Acoustics","score_opus":0.018881750646841625,"score_gpt":0.23085437337475156,"score_spread":0.21197262272790995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050068573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16354905,0.00037791417,0.8240134,0.00022328748,0.00011232707,0.000116036266,0.000037377733,0.00071847765,0.010852046],"genre_scores_gemma":[0.95994014,0.00014014383,0.035785634,0.000026666992,0.000018585199,0.000107197455,0.000022316406,0.00000888973,0.0039504324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998369,0.000030758994,0.000011353922,0.00004480331,0.00006210531,0.000014047124],"domain_scores_gemma":[0.9998248,0.000046961897,0.00004951176,0.000023228215,0.000040759165,0.000014835209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045483527,0.0005949399,0.00033302722,0.00026018446,0.00042853513,0.0004014433,0.00065565575,0.0005097152,0.0011819617],"category_scores_gemma":[0.0004001973,0.00024310002,0.00029590688,0.00021534719,0.00055626355,0.00038590425,0.0005660712,0.00040055343,0.0001466002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032043597,0.00012132616,0.0009322706,0.00030642067,0.00006254896,0.0009502202,0.00023966996,0.82443166,0.06669784,0.009838031,0.0008120017,0.0952876],"study_design_scores_gemma":[0.00003843364,0.00035848338,0.00040350907,0.000007140997,0.000010495895,0.00007754226,0.000014597853,0.99322236,0.003700215,0.0012262001,0.0009306749,0.000010378859],"about_ca_topic_score_codex":0.0027967482,"about_ca_topic_score_gemma":0.0023574133,"teacher_disagreement_score":0.0027967482,"about_ca_system_score_codex":0.00023510017,"about_ca_system_score_gemma":0.0005295047,"threshold_uncertainty_score":0.005560994},"labels":[],"label_agreement":null},{"id":"W2051667398","doi":"10.1109/cdc.2004.1428850","title":"Adaptive control of harmonic drives","year":2004,"lang":"en","type":"article","venue":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Harmonic drive; Control theory (sociology); Torque; Compensation (psychology); Adaptive control; Controller (irrigation); Harmonic; Control engineering; Robot; Engineering; Stability (learning theory); Computer science; Control (management); Physics; Artificial intelligence; Acoustics; Mechanical engineering","score_opus":0.016491144442210334,"score_gpt":0.23300614588458105,"score_spread":0.2165150014423707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051667398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031726066,0.00046766482,0.9586389,0.00007357733,0.00011368298,0.000033977376,0.00001969269,0.00042393722,0.008502522],"genre_scores_gemma":[0.93195885,0.0003835561,0.059620902,0.00007919635,0.00007880977,0.000063777436,0.00004821143,0.00003998523,0.007726717],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998847,0.000017012866,0.000005231795,0.000032957163,0.00004638707,0.000013686254],"domain_scores_gemma":[0.99985564,0.00004673918,0.000024088153,0.000016888851,0.000048338326,0.000008257284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015846538,0.00025845598,0.00020998679,0.00015573461,0.00021163035,0.00034646428,0.00043542817,0.00020120108,0.0015432766],"category_scores_gemma":[0.0004819064,0.00010086893,0.00016247004,0.00011917486,0.00030544412,0.00019237785,0.00029232667,0.00033719995,0.00031028254],"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":[0.00020005756,0.0000853132,0.001234079,0.00029189457,0.000059085207,0.00017552658,0.00026659883,0.30836853,0.08603344,0.04560675,0.003523042,0.55415565],"study_design_scores_gemma":[0.000024656061,0.00017663282,0.00073443324,0.0000116106,0.000013724879,0.00010388136,0.000025231207,0.9692741,0.01106036,0.0068034832,0.011756772,0.000015083495],"about_ca_topic_score_codex":0.0010259692,"about_ca_topic_score_gemma":0.0010457783,"teacher_disagreement_score":0.0015432766,"about_ca_system_score_codex":0.00021291495,"about_ca_system_score_gemma":0.00018021675,"threshold_uncertainty_score":0.0051627755},"labels":[],"label_agreement":null},{"id":"W2053523990","doi":"10.1109/acc.2002.1023238","title":"Identification of periodic signals with uncertain frequency","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); SIGNAL (programming language); Band-stop filter; Computer science; Filter (signal processing); Component (thermodynamics); Identification (biology); Periodic function; Low-pass filter; Algorithm; Mathematics; Control (management); Artificial intelligence","score_opus":0.010628289908914413,"score_gpt":0.20186312846347626,"score_spread":0.19123483855456186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053523990","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014802235,0.00004792376,0.9980069,0.000014974134,0.000014098901,0.000015621563,0.0000048329325,0.00012194945,0.00029341775],"genre_scores_gemma":[0.05265228,0.00019198447,0.94441366,0.000044556764,0.000049501446,0.000108017935,0.000052987554,0.000043845608,0.0024430759],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997229,0.000037614944,0.000021708947,0.000070673326,0.00012555617,0.000021467125],"domain_scores_gemma":[0.9995117,0.00021108365,0.000086399436,0.000051279094,0.00012547831,0.000014049333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051454763,0.00069902104,0.00063988264,0.0008897747,0.00041927825,0.00067822606,0.00073083723,0.0011945827,0.0016201277],"category_scores_gemma":[0.0017472452,0.00042097954,0.00045782782,0.00056791323,0.0006259081,0.00071761076,0.00047037224,0.00065915333,0.0012538581],"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":[0.00013979303,0.000057980214,0.00091320364,0.00024097082,0.000083677405,0.00025050406,0.00022107961,0.13971747,0.046908453,0.024247175,0.0021798392,0.7850398],"study_design_scores_gemma":[0.000024534755,0.00013451037,0.0006265053,0.000029516938,0.000020007581,0.0003763336,0.000027287046,0.9583869,0.022835286,0.0076086647,0.009891874,0.00003861884],"about_ca_topic_score_codex":0.0012153491,"about_ca_topic_score_gemma":0.0011804646,"teacher_disagreement_score":0.0016201277,"about_ca_system_score_codex":0.00030099292,"about_ca_system_score_gemma":0.00057939684,"threshold_uncertainty_score":0.0054198503},"labels":[],"label_agreement":null},{"id":"W2056203657","doi":"10.1016/j.ijmachtools.2006.08.027","title":"Accurate tracking controller design for high-speed drives","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Vibration; Engineering; Ball screw; Torque; Nonlinear system; Feed forward; Sliding mode control; Bandwidth (computing); Machine tool; Control engineering; Computer science; Acoustics; Physics; Structural engineering; Mechanical engineering","score_opus":0.012242817879698472,"score_gpt":0.24306297041417577,"score_spread":0.2308201525344773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056203657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006832644,0.00026601605,0.99094313,0.00005402553,0.000046492154,0.000030717572,0.000011902075,0.00022621817,0.001588863],"genre_scores_gemma":[0.8516338,0.00047462992,0.14229798,0.00009955846,0.00007120335,0.00015137337,0.00008422233,0.000074394084,0.005112846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939215,0.00007348786,0.000036306068,0.000080764985,0.0003747575,0.000042500695],"domain_scores_gemma":[0.9990307,0.00032266817,0.00012131486,0.00011026772,0.00038988233,0.000025155403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008464532,0.0005664666,0.00068590144,0.00043207302,0.0005608631,0.0012901494,0.0008067649,0.0010679959,0.0023606913],"category_scores_gemma":[0.0022736683,0.00055731146,0.0002785733,0.00042813498,0.00035890215,0.00072745886,0.000530852,0.00097224244,0.0006326287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017786148,0.00006605228,0.0004407008,0.0003367789,0.000055035587,0.00012661969,0.00027446804,0.76134264,0.022034358,0.011435358,0.0019261047,0.2017839],"study_design_scores_gemma":[0.000023310098,0.000085227475,0.00026436566,0.000011704777,0.000010199795,0.00004176077,0.00001067835,0.9920819,0.0037503238,0.0021401383,0.0015712611,0.000009105706],"about_ca_topic_score_codex":0.0030754223,"about_ca_topic_score_gemma":0.0032361832,"teacher_disagreement_score":0.0030754223,"about_ca_system_score_codex":0.00047757314,"about_ca_system_score_gemma":0.00081523,"threshold_uncertainty_score":0.007897317},"labels":[],"label_agreement":null},{"id":"W2056873420","doi":"10.1016/s0890-6955(00)00089-4","title":"Motion control for linear motor feed drives in advanced machine tools","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control 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":"McMaster University","funders":"","keywords":"Control theory (sociology); Commutation; Linear motor; Machine tool; Torque; Control engineering; Machine control; Motion control; Computer science; Control (management); Engineering; Mechanical engineering; Artificial intelligence","score_opus":0.007558893631210967,"score_gpt":0.24650800339730553,"score_spread":0.23894910976609457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056873420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104302384,0.0010972462,0.88921857,0.00023586774,0.00008912271,0.000058418507,0.000020483703,0.00020505428,0.004772873],"genre_scores_gemma":[0.97313166,0.0002726881,0.021854741,0.00003498045,0.000020897203,0.000034234094,0.000019237534,0.000013030552,0.0046185055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984956,0.00004496242,0.000009255013,0.000027479422,0.000050155762,0.000018499199],"domain_scores_gemma":[0.9997389,0.00011061318,0.00004766901,0.000014767931,0.000079819685,0.000008166788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044065478,0.00025334203,0.0002503371,0.00018123086,0.00028236446,0.00043192826,0.00040149176,0.0003299309,0.0014839529],"category_scores_gemma":[0.0010036281,0.00015247901,0.00015470877,0.00022326327,0.00037727895,0.00028353496,0.00031306947,0.00029165187,0.00021537942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069619383,0.00013988354,0.001258179,0.00046705466,0.00004950421,0.0001503271,0.00048725912,0.53269047,0.05781153,0.01925074,0.0019254057,0.38507348],"study_design_scores_gemma":[0.000030991603,0.00031397396,0.0009257671,0.000019518331,0.0000110347055,0.00003121014,0.00003260281,0.98854744,0.0062817917,0.0019239932,0.0018717836,0.000009773093],"about_ca_topic_score_codex":0.0032172133,"about_ca_topic_score_gemma":0.0035150226,"teacher_disagreement_score":0.0032172133,"about_ca_system_score_codex":0.00026779386,"about_ca_system_score_gemma":0.00025830275,"threshold_uncertainty_score":0.006397009},"labels":[],"label_agreement":null},{"id":"W2058153650","doi":"10.1115/detc2010-28239","title":"Control of a Pneumatic Gantry Robot With Adaptive Neural Network Compensation","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Compensation (psychology); Artificial neural network; Robot; Controller (irrigation); Tracking (education); Computer science; Control engineering; Adaptive control; Enhanced Data Rates for GSM Evolution; Gantry crane; Control system; Engineering; Control (management); Artificial intelligence","score_opus":0.005203804700888902,"score_gpt":0.17983473728964386,"score_spread":0.17463093258875495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058153650","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15669984,0.0004143862,0.83464366,0.00020095878,0.00015230133,0.00012902221,0.000026665568,0.0007176988,0.0070154592],"genre_scores_gemma":[0.94453776,0.00010624077,0.051937014,0.000060171154,0.000029822044,0.00006980276,0.000016836844,0.0000108205295,0.0032316032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987304,0.00002489336,0.0000066537987,0.00002988742,0.000053206964,0.000012347906],"domain_scores_gemma":[0.9998301,0.000057100435,0.000038644415,0.000014011199,0.000050810453,0.000009373915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000354104,0.00033319808,0.00022924997,0.00011669691,0.00019681235,0.00027882334,0.00046013482,0.00041018677,0.000856344],"category_scores_gemma":[0.00043984104,0.00013925951,0.0001624781,0.00014187259,0.00033299168,0.00021887661,0.00024101348,0.0002996326,0.00013960678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004942694,0.00010804586,0.0013701022,0.0003581736,0.00006271394,0.00045845888,0.00020894034,0.5143029,0.2176171,0.0035073394,0.0012675773,0.26024437],"study_design_scores_gemma":[0.000051640858,0.0003699696,0.0011717653,0.000008809907,0.000015290958,0.00011296776,0.000010642089,0.98468,0.011658099,0.00040071484,0.0015062052,0.0000138687865],"about_ca_topic_score_codex":0.0022426974,"about_ca_topic_score_gemma":0.002519723,"teacher_disagreement_score":0.0022426974,"about_ca_system_score_codex":0.00016611099,"about_ca_system_score_gemma":0.0002705297,"threshold_uncertainty_score":0.004459262},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027670365,0.005974331,0.9423257,0.000979487,0.0005797977,0.000018219238,0.000029453655,0.00020725797,0.022215374],"genre_scores_gemma":[0.86899817,0.0034086532,0.08502356,0.00025066183,0.00064581377,0.000060418723,0.00007451834,0.00006898554,0.04146932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998411,0.00003273608,0.000007376341,0.000029280807,0.00007795566,0.000011566274],"domain_scores_gemma":[0.9997676,0.000118977165,0.000027695527,0.000031454245,0.000047225756,0.0000071485492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031186955,0.00033872743,0.00062124414,0.00032055765,0.00033860348,0.00066435523,0.00063563,0.0009943291,0.004237382],"category_scores_gemma":[0.0013110721,0.00021087119,0.00040216095,0.00039785774,0.0009808092,0.00091690803,0.00052440463,0.00074911263,0.0004436765],"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":[0.00012112127,0.0000521862,0.0003216066,0.0003239147,0.000056035693,0.00029359374,0.00032472986,0.36557505,0.015211254,0.45299667,0.0038960765,0.16082773],"study_design_scores_gemma":[0.000011849948,0.00009062415,0.00045732185,0.000028801931,0.00001484526,0.00021739645,0.000058664104,0.7290306,0.0022717377,0.25928244,0.008508194,0.000027477332],"about_ca_topic_score_codex":0.002120079,"about_ca_topic_score_gemma":0.0015970477,"teacher_disagreement_score":0.004237382,"about_ca_system_score_codex":0.0003222822,"about_ca_system_score_gemma":0.00025914022,"threshold_uncertainty_score":0.014175475},"labels":[],"label_agreement":null},{"id":"W2061966227","doi":"10.1109/ccece.2013.6567716","title":"ACO based controller and anti-windup tuning for motion systems with flexible transmission","year":2013,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Control theory (sociology); GRASP; Ant colony optimization algorithms; Motion control; Computer science; Controller (irrigation); Control engineering; Coupling (piping); Transmission (telecommunications); Engineering; Control (management); Robot; Artificial intelligence; Temperature control","score_opus":0.0072881453451577195,"score_gpt":0.18893805661381982,"score_spread":0.1816499112686621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061966227","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022864768,0.00042001886,0.96893793,0.00009671615,0.00006657323,0.00005758378,0.000017496128,0.00036693367,0.007172062],"genre_scores_gemma":[0.8868189,0.0002700635,0.10837462,0.000057699242,0.000031685096,0.0000981222,0.00004042545,0.000043600714,0.004264867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998802,0.00001868395,0.000008566707,0.000025125439,0.00005209514,0.000015283216],"domain_scores_gemma":[0.99979466,0.000075384276,0.000046183293,0.000021823977,0.00005050006,0.000011531924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025408904,0.00046629456,0.00042404904,0.0003243505,0.00035580253,0.0004653031,0.00056723185,0.00045637094,0.0011677202],"category_scores_gemma":[0.0007250337,0.00020806196,0.00029713268,0.00035420174,0.00035531935,0.00033233073,0.0002772641,0.00053456036,0.00022509955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009653836,0.000058258705,0.000443507,0.0001475804,0.00005869419,0.00019540751,0.00006125523,0.8083842,0.028200742,0.0091136,0.00102891,0.15221134],"study_design_scores_gemma":[0.000008919876,0.00004372829,0.00019606558,0.000003929954,0.000005263556,0.000043381744,0.0000045542197,0.9961844,0.0018091007,0.00090849213,0.0007875665,0.0000045524353],"about_ca_topic_score_codex":0.0018343052,"about_ca_topic_score_gemma":0.0027603447,"teacher_disagreement_score":0.0018343052,"about_ca_system_score_codex":0.00019752694,"about_ca_system_score_gemma":0.00041013202,"threshold_uncertainty_score":0.003906369},"labels":[],"label_agreement":null},{"id":"W2064464145","doi":"10.1016/s0890-6955(00)00109-7","title":"Design, implementation and validation of a system for the dynamic reconfiguration of open architecture machine tool controls","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Field-programmable gate array; Embedded system; Architecture; Open architecture; Protocol (science); Controller (irrigation); Computer science; Control system; Computer architecture; Gate array; Field (mathematics); Systems architecture; Engineering; Control engineering; Operating system; Software; Electrical engineering","score_opus":0.014122473682231771,"score_gpt":0.28944230030417883,"score_spread":0.27531982662194704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064464145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1486563,0.00016848667,0.8188661,0.0003053854,0.00025886743,0.001263332,0.00023023863,0.025303902,0.0049473993],"genre_scores_gemma":[0.8446722,0.000051255603,0.15051767,0.0001437773,0.00003575168,0.0005909707,0.00021650284,0.00035065736,0.003421227],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851614,0.00035170294,0.00011380638,0.00031000224,0.00052825874,0.00018010246],"domain_scores_gemma":[0.99671566,0.0009248971,0.00030383456,0.0008404203,0.0010277473,0.00018750077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020753862,0.000882878,0.0007737052,0.000883045,0.00079475384,0.0013359892,0.002312162,0.0012252645,0.0046503777],"category_scores_gemma":[0.003674008,0.00050773553,0.0003558292,0.00023542812,0.0008833703,0.00095450477,0.00085418037,0.001060503,0.0011119578],"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":[0.002684473,0.0013452102,0.009040042,0.0009776282,0.00039267278,0.0010410912,0.0018584112,0.16155839,0.34892586,0.018087525,0.009274377,0.4448143],"study_design_scores_gemma":[0.00080919673,0.0022372138,0.004182251,0.00009109256,0.00016074063,0.00043520273,0.00010325595,0.68963015,0.2798998,0.0023486495,0.020001415,0.000100999365],"about_ca_topic_score_codex":0.002172945,"about_ca_topic_score_gemma":0.0013589517,"teacher_disagreement_score":0.0046503777,"about_ca_system_score_codex":0.0006319417,"about_ca_system_score_gemma":0.001431794,"threshold_uncertainty_score":0.01555711},"labels":[],"label_agreement":null},{"id":"W2065722371","doi":"10.1109/syscon.2014.6819232","title":"Model-free tuning solution for sliding mode control of servo systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Autoritatea Natională pentru Cercetare Stiintifică","keywords":"Control theory (sociology); Nonlinear system; Smoothing; Sliding mode control; Servo control; Servomechanism; Computer science; Trajectory; Servomotor; Control system; SIGNAL (programming language); Servo; Variable structure control; Control engineering; Engineering; Control (management); Physics","score_opus":0.013624164758281435,"score_gpt":0.21691174625507628,"score_spread":0.20328758149679485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065722371","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041127936,0.00010529995,0.99425596,0.000032885375,0.000019708477,0.000012667261,0.000004619542,0.00013409129,0.001321993],"genre_scores_gemma":[0.80931056,0.0003346172,0.18320963,0.000089387235,0.000074930394,0.00020337875,0.00005788703,0.00006334383,0.006656355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997949,0.000045363005,0.000009892721,0.000032177926,0.00010376093,0.00001390894],"domain_scores_gemma":[0.99987197,0.000055003988,0.00001904654,0.000015986523,0.00003252405,0.000005360098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034230013,0.00039239417,0.00036084192,0.00016962572,0.00020978725,0.00034983092,0.00045881516,0.00063536136,0.0014860731],"category_scores_gemma":[0.0009283176,0.00016533387,0.00036464795,0.00011143716,0.0003429011,0.0003222343,0.00039693338,0.000646223,0.0002950657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007626247,0.00006547506,0.0003093485,0.0003006251,0.00004849128,0.00010243736,0.00025817892,0.6792571,0.037949756,0.10174797,0.0014874651,0.17839691],"study_design_scores_gemma":[0.000012297938,0.00007666541,0.00009250675,0.000011110262,0.0000051885318,0.000025896807,0.000007414664,0.98647296,0.0023139338,0.008513307,0.0024616234,0.0000070894007],"about_ca_topic_score_codex":0.0007548897,"about_ca_topic_score_gemma":0.00053957273,"teacher_disagreement_score":0.0014860731,"about_ca_system_score_codex":0.0002443022,"about_ca_system_score_gemma":0.00035771073,"threshold_uncertainty_score":0.004971385},"labels":[],"label_agreement":null},{"id":"W2067569737","doi":"10.1115/1.1445154","title":"A Combined 3D Linear and Circular Interpolation Technique for Multi-Axis CNC Machining","year":2002,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Machining; Interpolation (computer graphics); Linear interpolation; Nonlinear system; Trajectory; Line (geometry); Point (geometry); Line segment; Numerical control; Rotation (mathematics); Path (computing); Computer science; Algorithm; Geometry; Mathematics; Computer vision; Motion (physics); Engineering; Mechanical engineering; Artificial intelligence; Physics","score_opus":0.014894289322208005,"score_gpt":0.22619968027290333,"score_spread":0.2113053909506953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067569737","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0111554125,0.00021108362,0.9859949,0.00004832699,0.000038782826,0.000043590982,0.000017725448,0.0007132822,0.001776948],"genre_scores_gemma":[0.34305176,0.00022299051,0.6537598,0.00005047509,0.000029009772,0.00009468747,0.00008139895,0.000056643723,0.0026532598],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994326,0.000057307305,0.00003078643,0.00008774488,0.000360202,0.000031405674],"domain_scores_gemma":[0.9994723,0.00010804088,0.00007396683,0.000085914384,0.0002359652,0.000023844277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048141816,0.0003262261,0.0003118273,0.0005407685,0.0003804804,0.00038774678,0.0007350687,0.00044508706,0.0011910478],"category_scores_gemma":[0.00082280225,0.00028715646,0.00029732593,0.00063194986,0.0003666289,0.00047493505,0.00052041706,0.000527839,0.00036891765],"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":[0.0003962872,0.000087953995,0.0013552175,0.00033645227,0.000035553916,0.00021578705,0.0003600385,0.07574145,0.21558055,0.0127980495,0.0021408808,0.69095176],"study_design_scores_gemma":[0.00005307772,0.0006157967,0.0017003396,0.00003670627,0.00003855511,0.00083760644,0.00004276747,0.80360514,0.16837278,0.0020722055,0.02253455,0.00009052915],"about_ca_topic_score_codex":0.0017435546,"about_ca_topic_score_gemma":0.0024683892,"teacher_disagreement_score":0.0017435546,"about_ca_system_score_codex":0.00035421882,"about_ca_system_score_gemma":0.00093479734,"threshold_uncertainty_score":0.0039844513},"labels":[],"label_agreement":null},{"id":"W2069543178","doi":"10.1016/s0007-8506(07)60443-0","title":"High Bandwidth Control of Ball Screw Drives","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Ball screw; Feed forward; Traverse; Vibration; Bandwidth (computing); Ball (mathematics); Engineering; Computer science; Acoustics; Physics; Control engineering; Mechanical engineering; Control (management); Mathematics","score_opus":0.00662318079420863,"score_gpt":0.2051066271697855,"score_spread":0.19848344637557688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069543178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12209288,0.0014061619,0.8558165,0.00045949436,0.00019766741,0.000030078474,0.000023280376,0.00041638096,0.019557575],"genre_scores_gemma":[0.9864732,0.00025459373,0.009599956,0.000029061643,0.000023573515,0.000020843152,0.000007956673,0.000021134509,0.003569785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971586,0.000075509,0.000010107233,0.0000341627,0.00013617244,0.000028062475],"domain_scores_gemma":[0.9994634,0.00029154425,0.000053483534,0.000040989064,0.00012271479,0.00002788861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045665598,0.00030076256,0.00032813285,0.0003459019,0.00028280253,0.0007971073,0.0004000554,0.00044374945,0.0022424774],"category_scores_gemma":[0.002244952,0.00016380048,0.00011478934,0.000304091,0.0005580489,0.00046690635,0.0005437018,0.0004657442,0.0003421057],"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":[0.0012447891,0.00014602682,0.0007860616,0.0005384216,0.00005039247,0.0001878639,0.0006241709,0.40568957,0.107026204,0.13798967,0.0035184834,0.34219834],"study_design_scores_gemma":[0.00004214633,0.000281659,0.0005957478,0.00003375448,0.000011067263,0.000097945325,0.0000689981,0.94204974,0.011947527,0.04054224,0.0043040807,0.00002510938],"about_ca_topic_score_codex":0.0010463947,"about_ca_topic_score_gemma":0.0009989315,"teacher_disagreement_score":0.0022424774,"about_ca_system_score_codex":0.00024480096,"about_ca_system_score_gemma":0.00023397045,"threshold_uncertainty_score":0.0075018406},"labels":[],"label_agreement":null},{"id":"W2069831902","doi":"10.1109/tmech.2013.2275743","title":"An Output-Tracking-Based Discrete PID-Sliding Mode Control for MIMO Systems","year":2013,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Control theory (sociology); PID controller; MIMO; Sliding mode control; Tracking error; Controller (irrigation); Control system; Tracking (education); Computer science; Control engineering; Engineering; Control (management); Nonlinear system; Temperature control; Channel (broadcasting); Physics; Telecommunications","score_opus":0.0119035064342128,"score_gpt":0.24446127530814654,"score_spread":0.23255776887393373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069831902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011589591,0.00024557498,0.984435,0.00005107541,0.00008208616,0.000038731814,0.000016955244,0.00035643618,0.0031845903],"genre_scores_gemma":[0.8779744,0.00032690895,0.117504545,0.000062844854,0.000034131583,0.0001289017,0.000053560118,0.000016827935,0.0038979254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997228,0.000037583744,0.000018574117,0.00006265048,0.00014045126,0.000017861277],"domain_scores_gemma":[0.99981934,0.00005396635,0.000024993404,0.000024994715,0.00006781237,0.000008900563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039600497,0.00037340776,0.00028518957,0.00018820919,0.00028133392,0.0004854445,0.00053059193,0.00040259477,0.0011156767],"category_scores_gemma":[0.00065266906,0.00017258142,0.00028663155,0.00018289268,0.0003285423,0.00032065515,0.00039457128,0.00051981024,0.0002100054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032172905,0.00016819956,0.0010307565,0.0006948291,0.00007203018,0.0003530193,0.00033260824,0.4649178,0.1884678,0.01967512,0.0017820895,0.32218397],"study_design_scores_gemma":[0.000022873412,0.00022077943,0.00040203493,0.000013167768,0.000013470189,0.00006241813,0.000008595504,0.97990674,0.016377218,0.00067252683,0.0022889408,0.000011224011],"about_ca_topic_score_codex":0.0014198316,"about_ca_topic_score_gemma":0.0013886417,"teacher_disagreement_score":0.0014198316,"about_ca_system_score_codex":0.00025552773,"about_ca_system_score_gemma":0.0004759709,"threshold_uncertainty_score":0.0037323236},"labels":[],"label_agreement":null},{"id":"W2069867434","doi":"10.1109/tmag.2014.2381160","title":"Design and Optimization of a Voice Coil Actuator for Precision Motion Applications","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electromagnetic coil; Inductance; Actuator; Computer science; Finite element method; Acceleration; Voice coil; Magnetic field; Mechanical engineering; Control theory (sociology); Voltage; Materials science; Physics; Electrical engineering; Classical mechanics; Engineering","score_opus":0.02103834827529788,"score_gpt":0.23446879009198784,"score_spread":0.21343044181668996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069867434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16674878,0.0017980378,0.80643517,0.00041734625,0.00013225527,0.0002778185,0.00020444088,0.0008332561,0.023152929],"genre_scores_gemma":[0.84590936,0.0005779566,0.148142,0.00004885006,0.000031153468,0.00031508898,0.00008695975,0.000060231527,0.004828451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998124,0.000032896125,0.000011524918,0.000032452524,0.000086079366,0.000024607061],"domain_scores_gemma":[0.9998636,0.00004183913,0.000029588931,0.000008798333,0.00004565601,0.000010557847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003184003,0.0004604064,0.00044906282,0.00030214063,0.00025528204,0.0005398227,0.00033111442,0.00051259197,0.0013441471],"category_scores_gemma":[0.00034441066,0.00025564886,0.0002940746,0.0002143191,0.0002689404,0.00027150384,0.0002680493,0.00019598202,0.0004482126],"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":[0.0002614168,0.00006890756,0.0011390917,0.0008286753,0.00006333936,0.00036726365,0.000118758355,0.47321784,0.43156156,0.006988935,0.0017773121,0.08360695],"study_design_scores_gemma":[0.00005397195,0.0009675642,0.0020113834,0.000042520274,0.00006861852,0.0003217334,0.00010168382,0.9210274,0.0584647,0.0012540468,0.015645739,0.000040685612],"about_ca_topic_score_codex":0.00043444638,"about_ca_topic_score_gemma":0.00071740703,"teacher_disagreement_score":0.0013441471,"about_ca_system_score_codex":0.00028951478,"about_ca_system_score_gemma":0.0006419503,"threshold_uncertainty_score":0.004496634},"labels":[],"label_agreement":null},{"id":"W2070661298","doi":"10.1115/1.4025154","title":"Switching Gain-Scheduled Control Design for Flexible Ball-Screw Drives","year":2013,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Ball screw; Control theory (sociology); Servo; Ball (mathematics); Servomotor; Machining; Servo control; Servomechanism; Computer science; Bandwidth (computing); Controller (irrigation); Engineering; Control engineering; Mechanical engineering; Control (management); Artificial intelligence; Mathematics","score_opus":0.014883976724624198,"score_gpt":0.20754263114489144,"score_spread":0.19265865442026725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070661298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020042296,0.00022122274,0.97667795,0.000043864948,0.00006395876,0.00004658858,0.000011900923,0.00033939927,0.0025528376],"genre_scores_gemma":[0.94107807,0.00016402158,0.05696475,0.00005066872,0.000035026074,0.000093158764,0.000028826558,0.000025214626,0.0015602362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966455,0.00004844283,0.000017779683,0.000058622372,0.00017947188,0.00003120997],"domain_scores_gemma":[0.99973005,0.00007203477,0.000040456773,0.000019140904,0.00012394042,0.000014357178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003580608,0.00046680155,0.00029172417,0.00024172387,0.00027564415,0.0005644404,0.00072928716,0.0003250132,0.001014253],"category_scores_gemma":[0.00063167734,0.0001863318,0.00026275386,0.00020721067,0.00036245547,0.00030460343,0.0002531045,0.0004486822,0.00022262767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048348258,0.0001863085,0.0008044227,0.00039750323,0.00008673484,0.00027102442,0.0003928321,0.45734748,0.13891038,0.017988218,0.0018458101,0.38128582],"study_design_scores_gemma":[0.000040481627,0.00034522027,0.00032112526,0.000010805858,0.0000171488,0.00004415234,0.0000152349985,0.9838516,0.01144127,0.0020635591,0.0018368489,0.0000126003],"about_ca_topic_score_codex":0.0027087617,"about_ca_topic_score_gemma":0.0024800615,"teacher_disagreement_score":0.0027087617,"about_ca_system_score_codex":0.00034595004,"about_ca_system_score_gemma":0.00048299335,"threshold_uncertainty_score":0.0053859353},"labels":[],"label_agreement":null},{"id":"W2071868481","doi":"10.1016/j.ijmachtools.2013.07.003","title":"Pre-compensation of contour errors in five-axis CNC machine tools","year":2013,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":107,"is_retracted":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":"Contouring; Jerk; Machine tool; Control theory (sociology); Kinematics; Numerical control; Servo; Piecewise; Spline (mechanical); Position (finance); Compensation (psychology); Piecewise linear function; Machining; Engineering; Computer science; Acceleration; Mathematics; Geometry; Engineering drawing; Mechanical engineering; Artificial intelligence; Physics; Mathematical analysis; Control (management)","score_opus":0.00784007331116978,"score_gpt":0.23459426690561458,"score_spread":0.2267541935944448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071868481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52456176,0.00074109744,0.46672496,0.00015558547,0.00021982139,0.00007037891,0.000102852195,0.0009644035,0.0064592003],"genre_scores_gemma":[0.9606602,0.00009430239,0.037255913,0.00002018783,0.000010773569,0.000013696004,0.000071869734,0.000059691192,0.00181328],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99950325,0.000048870654,0.00002322464,0.000067278714,0.0003185454,0.000038891023],"domain_scores_gemma":[0.9986771,0.0003891187,0.00018421808,0.00016288833,0.00055291917,0.000033866592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049507676,0.00051310257,0.00031970456,0.0005471978,0.00046062763,0.00055570924,0.0005580354,0.00060636457,0.0015434347],"category_scores_gemma":[0.0020047943,0.00021537508,0.00017951871,0.0007418554,0.00033545165,0.0005295888,0.0003210684,0.00047259033,0.0002658285],"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":[0.0022487075,0.0002032685,0.00723441,0.0005258058,0.000032129312,0.0003396407,0.0008518489,0.08855077,0.28271192,0.0036428922,0.0021261927,0.6115324],"study_design_scores_gemma":[0.00006478133,0.0006870523,0.037712764,0.0000967854,0.000060267837,0.00042305645,0.00021792133,0.675058,0.27726227,0.0011386204,0.007206972,0.00007158689],"about_ca_topic_score_codex":0.0029902875,"about_ca_topic_score_gemma":0.004483572,"teacher_disagreement_score":0.0029902875,"about_ca_system_score_codex":0.0003985693,"about_ca_system_score_gemma":0.0007217203,"threshold_uncertainty_score":0.005945742},"labels":[],"label_agreement":null},{"id":"W2071916735","doi":"10.1121/1.2935756","title":"Extremal harmonic active control of power","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Control theory (sociology); Rotor (electric); Controller (irrigation); Context (archaeology); AC power; Torque; Gradient descent; Power (physics); Harmonic; Optimal control; Computation; Computer science; Harmonics; Mathematics; Physics; Control (management); Voltage; Mathematical optimization; Algorithm; Artificial neural network; Acoustics","score_opus":0.008337494143417754,"score_gpt":0.211128536100674,"score_spread":0.20279104195725625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071916735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01017795,0.00018841802,0.9795306,0.00005240394,0.000048319005,0.000031425323,0.000015304411,0.00023147847,0.009724093],"genre_scores_gemma":[0.91146076,0.0002511507,0.080368645,0.000068471214,0.00007405205,0.00011070973,0.00003472392,0.00007876503,0.007552733],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996289,0.0000954879,0.000022209679,0.000064478125,0.0001532978,0.00003565513],"domain_scores_gemma":[0.9996538,0.00013165463,0.000054168802,0.00005373024,0.0000939998,0.00001251132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004881979,0.0006031417,0.0004342294,0.00033382222,0.00026971512,0.0010794356,0.0007870158,0.00031243017,0.0023928075],"category_scores_gemma":[0.001194705,0.00017043312,0.00022375725,0.00026222906,0.000776818,0.0005669092,0.0009302576,0.0006992765,0.0004022062],"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":[0.00047750995,0.00015196452,0.00045914983,0.0005964488,0.00009506214,0.00014514003,0.0002715185,0.3197172,0.07276371,0.17664194,0.0033161934,0.4253641],"study_design_scores_gemma":[0.000038102306,0.00019086688,0.00034608395,0.000032625085,0.000018012573,0.00006964294,0.000018742374,0.959439,0.015863825,0.018269662,0.0056922333,0.000021297521],"about_ca_topic_score_codex":0.00032531144,"about_ca_topic_score_gemma":0.0004928243,"teacher_disagreement_score":0.0023928075,"about_ca_system_score_codex":0.000363778,"about_ca_system_score_gemma":0.00021866594,"threshold_uncertainty_score":0.008004725},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09626545,0.0015845725,0.884998,0.0008690139,0.00013076427,0.000042326894,0.0001494439,0.00022620472,0.015734076],"genre_scores_gemma":[0.9486805,0.0011331409,0.03577202,0.00019927879,0.00021806198,0.000107691136,0.0001935976,0.00010850617,0.013587236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940014,0.0001459243,0.000022159158,0.00014391469,0.00021980143,0.0000680521],"domain_scores_gemma":[0.99784184,0.0013280791,0.00037071767,0.00010356762,0.00025022085,0.00010539248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010477977,0.0012286128,0.00074495166,0.0014973134,0.00047288506,0.002298044,0.00076035893,0.0012123465,0.0047321543],"category_scores_gemma":[0.0047181,0.0005382051,0.00062990596,0.0006730016,0.0020076327,0.0017449412,0.0014713226,0.0014123471,0.00051848707],"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":[0.00013977128,0.000049821683,0.0012166706,0.00024713733,0.000071889175,0.00036237252,0.0006146562,0.2213122,0.012611265,0.71284723,0.0031668257,0.047360264],"study_design_scores_gemma":[0.000015019016,0.00006449912,0.00070968934,0.000027213982,0.000009589554,0.00016564215,0.000070890936,0.72245663,0.00082223205,0.27306822,0.0025553824,0.000035020374],"about_ca_topic_score_codex":0.0012231936,"about_ca_topic_score_gemma":0.00053437543,"teacher_disagreement_score":0.0047321543,"about_ca_system_score_codex":0.00072903145,"about_ca_system_score_gemma":0.00033183466,"threshold_uncertainty_score":0.015830636},"labels":[],"label_agreement":null},{"id":"W2073428013","doi":"10.1115/imece2010-37161","title":"Iterative Learning Control: A Comparison Study","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Iterative learning control; Robustness (evolution); Computer science; Convergence (economics); Scheme (mathematics); Control theory (sociology); Online learning; Tracking error; Control (management); Artificial intelligence; Mathematics","score_opus":0.005590758676090639,"score_gpt":0.2385611942036844,"score_spread":0.23297043552759378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073428013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21324192,0.0147953555,0.65879744,0.00059644575,0.00039252226,0.0003564972,0.00008004395,0.0008592685,0.11088054],"genre_scores_gemma":[0.9623347,0.0025872022,0.029535988,0.00009944364,0.00012238241,0.00010185917,0.00007946611,0.000050206192,0.005088694],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890554,0.0002765931,0.000075447366,0.00013820446,0.0005060813,0.00009812893],"domain_scores_gemma":[0.99661285,0.0016817567,0.00016777446,0.00028161344,0.0011651266,0.00009085597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015364329,0.00040737848,0.0006137956,0.00084470597,0.00027713669,0.0010159473,0.00086607924,0.00072692765,0.0030170556],"category_scores_gemma":[0.006163472,0.00010440102,0.0004010893,0.00065315445,0.00036345926,0.0011404842,0.000552307,0.0005263293,0.0003415587],"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":[0.0012819254,0.0006612986,0.0037815606,0.0009626665,0.00019845061,0.0001645819,0.0002857345,0.24803247,0.008681633,0.038071312,0.0027676453,0.69511086],"study_design_scores_gemma":[0.000103680024,0.0015299158,0.0026801343,0.00006597982,0.00008266794,0.00019358771,0.00007548135,0.9734982,0.007972842,0.0077276137,0.006030141,0.00003975328],"about_ca_topic_score_codex":0.0022381595,"about_ca_topic_score_gemma":0.00070928736,"teacher_disagreement_score":0.0030170556,"about_ca_system_score_codex":0.00053978874,"about_ca_system_score_gemma":0.0006109396,"threshold_uncertainty_score":0.010093093},"labels":[],"label_agreement":null},{"id":"W2074604588","doi":"10.4028/www.scientific.net/amm.432.341","title":"A Theoretic Analysis Method Research of Load Appling Based on Response Control in Time Domain","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"","keywords":"Product (mathematics); Domain (mathematical analysis); Time domain; Response analysis; Mathematics; Control (management); Control theory (sociology); Response time; Computer science; Engineering; Mathematical analysis; Structural engineering; Artificial intelligence; Geometry","score_opus":0.009429937873470878,"score_gpt":0.26672416766007484,"score_spread":0.257294229786604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074604588","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004577061,0.00035558356,0.98948544,0.00009696225,0.00005448429,0.000021099366,0.000010996514,0.000116037,0.0052824058],"genre_scores_gemma":[0.79330415,0.0018648797,0.19001916,0.00014919812,0.00027107162,0.00023961715,0.00008476265,0.00013100318,0.0139362635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991817,0.00017564133,0.00003723328,0.0001680331,0.0003940147,0.00004327312],"domain_scores_gemma":[0.999673,0.0001065818,0.000041771156,0.00003151946,0.00012958879,0.000017586774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006073351,0.00063451234,0.0005680277,0.0009337798,0.0005241765,0.0011705362,0.0009015666,0.0005843391,0.0028179178],"category_scores_gemma":[0.0010863531,0.00020423313,0.0006759424,0.0005545756,0.0012131567,0.0016816123,0.0007029055,0.0008064478,0.0004061985],"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":[0.0001379218,0.00012301614,0.0015147602,0.00064752874,0.0001022271,0.00015146879,0.0005660011,0.24220164,0.06214817,0.4735758,0.0032072826,0.21562418],"study_design_scores_gemma":[0.000015199123,0.00012227436,0.0004538994,0.000021991897,0.00002221483,0.000104967505,0.000061216146,0.94321024,0.008083723,0.04244078,0.0054297326,0.00003382089],"about_ca_topic_score_codex":0.0016167661,"about_ca_topic_score_gemma":0.0006609616,"teacher_disagreement_score":0.0028179178,"about_ca_system_score_codex":0.00092565914,"about_ca_system_score_gemma":0.0006725262,"threshold_uncertainty_score":0.009426892},"labels":[],"label_agreement":null},{"id":"W2075063946","doi":"10.1115/1.4004580","title":"Friction Hysteresis Modeling and Force Control in a Constrained Single-link Arm","year":2011,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hysteresis; Control theory (sociology); Compensation (psychology); Testbed; Planar; Link (geometry); Point (geometry); Friction torque; Computer science; Control (management); Physics; Torque; Mathematics","score_opus":0.024069170496340546,"score_gpt":0.18721087851765342,"score_spread":0.16314170802131286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075063946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36906984,0.0006888387,0.6256688,0.0001478974,0.000017075019,0.000032250307,0.000035438075,0.00031631056,0.004023506],"genre_scores_gemma":[0.9956892,0.00008496096,0.003429919,0.0000072632606,0.0000025686074,0.000010292386,0.0000073215883,0.00000592445,0.00076245755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999099,0.000015001828,0.000004596396,0.000020944439,0.000033705863,0.000015788011],"domain_scores_gemma":[0.9998443,0.000065427084,0.000041636955,0.000017528733,0.00002171349,0.0000094255565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016508828,0.0002555343,0.00037821743,0.00025322975,0.00020152825,0.0003593567,0.00045431702,0.00057863694,0.00072140706],"category_scores_gemma":[0.00066987093,0.00015318391,0.00019737425,0.00023656328,0.0004168377,0.0005409229,0.0002896498,0.00023269083,0.000101134945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012859993,0.00004263293,0.0006888492,0.00006933907,0.000018586587,0.00019598547,0.00009999339,0.95506966,0.0259119,0.0030470113,0.00011639838,0.014611142],"study_design_scores_gemma":[0.0000031181567,0.000036214726,0.0003386878,0.0000022868728,0.0000019901483,0.000019931944,0.000005326696,0.99838865,0.0007140988,0.0003785942,0.00010841394,0.00000266572],"about_ca_topic_score_codex":0.004719648,"about_ca_topic_score_gemma":0.0026573946,"teacher_disagreement_score":0.004719648,"about_ca_system_score_codex":0.00021997497,"about_ca_system_score_gemma":0.00028431456,"threshold_uncertainty_score":0.009384334},"labels":[],"label_agreement":null},{"id":"W2076866934","doi":"10.5539/mas.v3n10p77","title":"The Design and Implementation of Infrared Reflow Soldering System","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reflow soldering; Soldering; Software; Computer science; Wave soldering; Infrared; Materials science; Operating system; Composite material; Optics; Physics","score_opus":0.008312134511423083,"score_gpt":0.23266371947369402,"score_spread":0.22435158496227092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076866934","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03546125,0.0004997267,0.9348759,0.00031281597,0.0003137167,0.0004948837,0.00009308563,0.0069471453,0.021001512],"genre_scores_gemma":[0.6542374,0.000554634,0.3194475,0.0003121248,0.00012192642,0.0006218583,0.00021515804,0.000263163,0.024226286],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989918,0.00011967246,0.00008013455,0.000180962,0.00054865476,0.00007882877],"domain_scores_gemma":[0.99959606,0.000028991522,0.000042333948,0.000049010083,0.00025252698,0.00003113013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095879,0.00047999152,0.00048372985,0.0005902236,0.00034748475,0.00072296767,0.0015323652,0.0006162593,0.0034963624],"category_scores_gemma":[0.0006578684,0.0003070049,0.000308966,0.0002457722,0.0002457352,0.00058487593,0.00041231772,0.00044317456,0.0014387867],"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":[0.0004741686,0.00021277842,0.004646992,0.000958365,0.000115527415,0.00084088434,0.00096607726,0.026242279,0.39343998,0.022950938,0.008509835,0.5406422],"study_design_scores_gemma":[0.00030024478,0.0022707467,0.007595082,0.00016434885,0.0002430346,0.0024098526,0.00018472144,0.27071023,0.52736264,0.0037625195,0.18480285,0.00019371806],"about_ca_topic_score_codex":0.00081038545,"about_ca_topic_score_gemma":0.00047832783,"teacher_disagreement_score":0.0034963624,"about_ca_system_score_codex":0.00034151573,"about_ca_system_score_gemma":0.000781715,"threshold_uncertainty_score":0.011696458},"labels":[],"label_agreement":null},{"id":"W2077273439","doi":"10.1109/mmar.2014.6957355","title":"Nonparametric identification and control of flexible joint robot manipulator","year":2014,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Carleton University","funders":"","keywords":"Control theory (sociology); Robot; Robot end effector; Tracking (education); Convergence (economics); Nonparametric statistics; Computer science; Identification (biology); Adaptive control; Joint (building); Control engineering; Robot control; Control (management); Engineering; Artificial intelligence; Mathematics; Mobile robot; Statistics","score_opus":0.00990461922038371,"score_gpt":0.20289919633584494,"score_spread":0.19299457711546122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077273439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028914062,0.000314323,0.9689447,0.000077897574,0.000017793858,0.000009564616,0.0000083853365,0.000061730396,0.001651492],"genre_scores_gemma":[0.95333445,0.00028496474,0.04452195,0.000024215813,0.000032804983,0.000064276646,0.000020868805,0.000010190761,0.0017062376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979526,0.000074630385,0.0000074114137,0.00003466358,0.0000716136,0.000016431966],"domain_scores_gemma":[0.9995647,0.0002343659,0.00008793014,0.00004152753,0.00006281537,0.000008636097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042680738,0.00030110197,0.00021462952,0.00014903318,0.00016314456,0.0002819526,0.00036542746,0.00035052194,0.0003424524],"category_scores_gemma":[0.0013570944,0.0001352431,0.00020907576,0.00017068959,0.0006036869,0.00026742902,0.00037090955,0.00030406954,0.00008064962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000611541,0.000027474509,0.000701907,0.00009022748,0.000024431018,0.00014156353,0.00007994733,0.8880239,0.019740893,0.022086054,0.00034365233,0.06867877],"study_design_scores_gemma":[0.0000040808836,0.00004677866,0.00047211332,0.0000032328783,0.0000025449942,0.000029818326,0.000005465499,0.99348664,0.0011697762,0.0043214327,0.00045313843,0.000004992351],"about_ca_topic_score_codex":0.001450008,"about_ca_topic_score_gemma":0.0012256444,"teacher_disagreement_score":0.001450008,"about_ca_system_score_codex":0.00024712327,"about_ca_system_score_gemma":0.00029383556,"threshold_uncertainty_score":0.0028831363},"labels":[],"label_agreement":null},{"id":"W2078245243","doi":"10.1002/acs.913","title":"Model reference adaptive iterative learning control for linear systems","year":2006,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Adaptive control; Control theory (sociology); Parametric statistics; Pointwise; Mathematics; Convergence (economics); Interval (graph theory); Linear system; Tracking error; Reference model; Computer science; Mathematical optimization; Control (management); Artificial intelligence","score_opus":0.01913025185839749,"score_gpt":0.24563035572307115,"score_spread":0.22650010386467367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078245243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009400248,0.00041610716,0.9860809,0.0001256527,0.000055460536,0.000025286177,0.000012318904,0.0001931562,0.003690827],"genre_scores_gemma":[0.93392587,0.00040298482,0.059948515,0.00012931362,0.00008057717,0.00018429985,0.000064448395,0.000037504542,0.00522655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994222,0.00017536973,0.000028654951,0.00012918761,0.00018207189,0.000062561085],"domain_scores_gemma":[0.99932086,0.00030512823,0.00012655942,0.00005516994,0.00017249414,0.000019803889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008833051,0.00080343225,0.0007001217,0.00029314216,0.00030512863,0.00086304394,0.0010419064,0.0007685837,0.0015773253],"category_scores_gemma":[0.002062078,0.00021498938,0.0005356174,0.00045130117,0.0008380325,0.00049144914,0.0010265278,0.0011947135,0.00031995372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043043925,0.00004226584,0.00021595422,0.0001467876,0.00003924239,0.000067176836,0.00014204285,0.9276322,0.0040236744,0.023670677,0.0007485079,0.04322844],"study_design_scores_gemma":[0.0000051753836,0.000037183956,0.00003636803,0.0000054572934,0.0000030496321,0.000007508332,0.000003520202,0.9974355,0.00034720264,0.0016463445,0.00046912336,0.0000035417802],"about_ca_topic_score_codex":0.004422,"about_ca_topic_score_gemma":0.002336288,"teacher_disagreement_score":0.004422,"about_ca_system_score_codex":0.0005844594,"about_ca_system_score_gemma":0.0007332877,"threshold_uncertainty_score":0.00879252},"labels":[],"label_agreement":null},{"id":"W2079390667","doi":"10.1115/imece2002-39342","title":"Analysis of Electromagnetic Nonlinearities in Stage Control of a Stepper Motor and Spool Valve","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Stepper; Saturation (graph theory); Hysteresis; Torque; Switched reluctance motor; Stepper motor; Magnet; Magnetic hysteresis; Control engineering; Computer science; Engineering; Materials science; Mathematics; Physics; Control (management); Mechanical engineering; Magnetic field","score_opus":0.005070540865051786,"score_gpt":0.18766548786196358,"score_spread":0.18259494699691178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079390667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5111112,0.0004666517,0.4711243,0.00027901703,0.00004284285,0.00010986571,0.00005828,0.00029695668,0.016510928],"genre_scores_gemma":[0.9952361,0.00007017775,0.0024691408,0.000008820568,0.0000036490242,0.00001973325,0.000008499169,0.000010253578,0.0021736177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998456,0.000033470507,0.000005587001,0.00002062204,0.000073099065,0.00002158444],"domain_scores_gemma":[0.9994824,0.00034526494,0.00006256151,0.000021879836,0.000075826305,0.00001205067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035881152,0.00028734378,0.00032327278,0.0002136992,0.00025256668,0.00036614336,0.00031496963,0.0004782596,0.0015266306],"category_scores_gemma":[0.0016595331,0.00021598215,0.00026947787,0.0001112134,0.0004896704,0.00045050104,0.00021063427,0.00039675197,0.00013397943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019213352,0.000063664476,0.0016291782,0.00014514774,0.000037712114,0.0003448454,0.00030023896,0.9326775,0.03339868,0.012679682,0.0002643454,0.018266788],"study_design_scores_gemma":[0.0000028956151,0.000029984056,0.00042386504,0.0000019232639,0.0000026685786,0.00001753636,0.000007172617,0.99763274,0.0013248008,0.00041482248,0.00013827818,0.0000032624655],"about_ca_topic_score_codex":0.004785199,"about_ca_topic_score_gemma":0.0027159925,"teacher_disagreement_score":0.004785199,"about_ca_system_score_codex":0.0005250796,"about_ca_system_score_gemma":0.00031049713,"threshold_uncertainty_score":0.009514689},"labels":[],"label_agreement":null},{"id":"W2080357101","doi":"10.1177/1077546305055542","title":"A Structured Linear Quadratic Gaussian Based Control Design Algorithm for Machine Tool Controllers Including Both Feed Drive and Process Dynamics","year":2005,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear-quadratic-Gaussian control; Control theory (sociology); Linear-quadratic regulator; Controller (irrigation); Control engineering; Process (computing); Optimal control; Contouring; Engineering; Computer science; Mathematical optimization; Mathematics; Control (management); Artificial intelligence","score_opus":0.007183057220894281,"score_gpt":0.2352027619382327,"score_spread":0.22801970471733843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080357101","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035927497,0.00002434122,0.99923384,0.000017820494,0.000008297708,0.000010536065,0.0000039349825,0.00010001365,0.00024199206],"genre_scores_gemma":[0.24922536,0.00026316158,0.7449348,0.0002726819,0.00010325639,0.0006750699,0.00016897451,0.00012965997,0.004227077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992531,0.00017481128,0.000031854237,0.00016434502,0.00031419133,0.0000616876],"domain_scores_gemma":[0.99935716,0.00028507473,0.00006523767,0.000042656393,0.0002261681,0.000023680012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501376,0.0008790574,0.0010069472,0.00037160682,0.0003254492,0.0007088002,0.0011344872,0.0011069303,0.0023700802],"category_scores_gemma":[0.002002502,0.0004862786,0.0006370033,0.0005243976,0.00068680703,0.0007486145,0.00094690337,0.001579555,0.0009652582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007451888,0.00006632937,0.0002282939,0.00015213917,0.00004960762,0.000047564718,0.0001065227,0.77872616,0.005291533,0.023400871,0.0021051695,0.1897513],"study_design_scores_gemma":[0.000016680207,0.00005298103,0.000035309404,0.000005802456,0.0000046030914,0.00000968157,0.000003290889,0.9958884,0.00043756881,0.0026113107,0.0009301902,0.0000041250864],"about_ca_topic_score_codex":0.002516093,"about_ca_topic_score_gemma":0.0030222624,"teacher_disagreement_score":0.002516093,"about_ca_system_score_codex":0.000625299,"about_ca_system_score_gemma":0.0015753958,"threshold_uncertainty_score":0.007940173},"labels":[],"label_agreement":null},{"id":"W2082105733","doi":"10.1142/s0129065707001020","title":"A RADIAL BASIS FUNCTION NETWORK APPROACH FOR THE COMPUTATION OF INVERSE CONTINUOUS TIME VARIANT FUNCTIONS","year":2007,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Gravitational singularity; Computation; Inverse; Basis (linear algebra); Radial basis function; Inverse function; Basis function; Function (biology); Applied mathematics; Mathematics; Computer science; Algorithm; Mathematical optimization; Mathematical analysis; Artificial intelligence; Artificial neural network","score_opus":0.01167333265811059,"score_gpt":0.2248679257089129,"score_spread":0.2131945930508023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082105733","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00084340194,0.000057620124,0.99845815,0.000022377175,0.000012587906,0.000007314958,0.000005195365,0.00009274259,0.0005005636],"genre_scores_gemma":[0.07370609,0.00039429014,0.92296,0.000052307863,0.00005453087,0.00007499461,0.000063621614,0.000095451076,0.002598828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973136,0.000056304263,0.000015267875,0.00004429237,0.00013545493,0.000017325834],"domain_scores_gemma":[0.9997236,0.00009742281,0.000019489207,0.000041775904,0.000105646126,0.000012058041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006445419,0.00069046847,0.0005529834,0.0004728116,0.00031147077,0.00063511555,0.0009308592,0.0007501456,0.0020209653],"category_scores_gemma":[0.0016438954,0.00027150512,0.0004537206,0.0004318105,0.00042209565,0.0009973937,0.0005354127,0.0011550676,0.001007354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012768919,0.000073713956,0.00049494184,0.00022319566,0.000060126753,0.00018191943,0.00010294792,0.47335708,0.041204803,0.101360925,0.0026597807,0.38015282],"study_design_scores_gemma":[0.0000058727555,0.000024552284,0.00007160706,0.000008696147,0.0000070224564,0.000058068304,0.0000051697257,0.9864705,0.0040672505,0.006114144,0.0031558697,0.000011271878],"about_ca_topic_score_codex":0.0017187013,"about_ca_topic_score_gemma":0.0018240147,"teacher_disagreement_score":0.0020209653,"about_ca_system_score_codex":0.00034837902,"about_ca_system_score_gemma":0.00057716516,"threshold_uncertainty_score":0.006760776},"labels":[],"label_agreement":null},{"id":"W2083154818","doi":"10.2316/journal.201.2004.2.201-1230","title":"Adaptive Zero-Phase Error-Tracking Controllers with Advance Learning","year":2004,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Compensation (psychology); Zero (linguistics); Tracking error; Phase (matter); Tracking (education); Controller (irrigation); Computer science; Filter (signal processing); Zero crossing; Mathematics; Control (management); Artificial intelligence; Engineering; Physics; Computer vision; Psychology","score_opus":0.011871083438003676,"score_gpt":0.23544229581163476,"score_spread":0.2235712123736311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083154818","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0088675525,0.00017726244,0.98631513,0.00005723436,0.00005846443,0.000038618608,0.000009708823,0.0005085966,0.003967447],"genre_scores_gemma":[0.7518944,0.00033231525,0.2372053,0.00016374509,0.000105251675,0.00020937507,0.00007638194,0.00005635269,0.009956854],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954623,0.00005759705,0.000028973329,0.00008646457,0.00023715108,0.00004357965],"domain_scores_gemma":[0.99940443,0.00018850442,0.00008388063,0.000081370556,0.00021253365,0.000029245028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062453636,0.0005599956,0.0004242516,0.00031388356,0.00034719997,0.00057182723,0.0011982716,0.00068150845,0.0024206603],"category_scores_gemma":[0.0016097447,0.00025284616,0.00031255354,0.00034822346,0.000518599,0.0009539579,0.0008772919,0.0012028166,0.00077978615],"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":[0.00056536344,0.00026688323,0.0006779129,0.00030259835,0.00007997362,0.00018145074,0.00034980866,0.43582103,0.046219926,0.066666946,0.0028907764,0.4459774],"study_design_scores_gemma":[0.00008639467,0.00025703548,0.00021261064,0.000013396346,0.000016134733,0.00010197163,0.000009354128,0.9765361,0.009747588,0.008641668,0.0043592704,0.000018477967],"about_ca_topic_score_codex":0.001155675,"about_ca_topic_score_gemma":0.0012255441,"teacher_disagreement_score":0.0024206603,"about_ca_system_score_codex":0.00032774144,"about_ca_system_score_gemma":0.0005375292,"threshold_uncertainty_score":0.008097947},"labels":[],"label_agreement":null},{"id":"W2083583835","doi":"10.1049/iet-cta.2011.0754","title":"Robust approach to repetitive controller design for uncertain feedback control systems","year":2013,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; Hanbat National University","keywords":"Control theory (sociology); Control engineering; Robust control; Computer science; Controller (irrigation); Repetitive control; Feedback control; Output feedback; Feedback controller; Control system; Control (management); Engineering; Artificial intelligence","score_opus":0.016622731186654336,"score_gpt":0.21393177739255725,"score_spread":0.19730904620590292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083583835","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017826887,0.00016061841,0.9968167,0.000026856445,0.00001166746,0.00001633652,0.0000062205804,0.00009846528,0.0010805465],"genre_scores_gemma":[0.6719429,0.0010274029,0.32062194,0.0001706681,0.00017539853,0.00049192813,0.00014573897,0.00009862188,0.0053254655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930704,0.00014091397,0.00004241391,0.00013740156,0.00033138905,0.000040875668],"domain_scores_gemma":[0.9993655,0.00026797352,0.00011144388,0.000046300018,0.00019487496,0.000013918355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090965076,0.0009845729,0.000703634,0.0004696791,0.00024394909,0.00067068567,0.0011170683,0.0010600883,0.0019373612],"category_scores_gemma":[0.0018445696,0.0003241205,0.0006204705,0.00034263084,0.0005281581,0.00052444736,0.00064727024,0.00090143643,0.00038174036],"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":[0.000053533826,0.00004965123,0.00018547958,0.0004081623,0.000091241534,0.00022898868,0.00020607043,0.8354754,0.025503421,0.042444717,0.000934137,0.09441918],"study_design_scores_gemma":[0.000011103521,0.00009383498,0.00005671337,0.00001179295,0.000011619998,0.000033156004,0.000008013582,0.99187225,0.0022160825,0.004436227,0.0012388378,0.000010340058],"about_ca_topic_score_codex":0.0017169717,"about_ca_topic_score_gemma":0.0011679416,"teacher_disagreement_score":0.0019373612,"about_ca_system_score_codex":0.00044016377,"about_ca_system_score_gemma":0.0006472422,"threshold_uncertainty_score":0.006481111},"labels":[],"label_agreement":null},{"id":"W2083605728","doi":"10.1007/s00170-006-0769-y","title":"Control of a dual stage magnetostrictive actuator and linear motor feed drive system","year":2006,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Actuator; Engineering; Feed forward; Servomechanism; Servo; Servomotor; Control system; Controller (irrigation); Control engineering; Computer science; Control (management); Mechanical engineering","score_opus":0.002577848788417285,"score_gpt":0.19636091374829903,"score_spread":0.19378306495988173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083605728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41268277,0.00075321895,0.56535685,0.0007916744,0.0005630651,0.00019300389,0.00021859216,0.0012055206,0.01823528],"genre_scores_gemma":[0.98318416,0.000067506895,0.011459828,0.000039664712,0.000025866504,0.000051228915,0.00002576443,0.000008682572,0.0051371707],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997538,0.000027131797,0.000016542574,0.00006960746,0.00009086814,0.000042052176],"domain_scores_gemma":[0.9997267,0.000067490226,0.0000671957,0.000024822539,0.00007854221,0.00003521402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031216463,0.0004572318,0.0005794736,0.00023085512,0.00061682134,0.00078950665,0.00086616504,0.0008185078,0.0025555561],"category_scores_gemma":[0.00037228118,0.0003117628,0.00025688467,0.00026872178,0.000395598,0.0002892924,0.00054369273,0.00036326805,0.00031358833],"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":[0.0021711416,0.00037088545,0.002192586,0.0008984944,0.00017185032,0.0016851878,0.000484261,0.19742352,0.671601,0.008424212,0.002681098,0.11189587],"study_design_scores_gemma":[0.00017941186,0.0009678954,0.0026904938,0.000022887687,0.00006662905,0.00023926863,0.0000408016,0.95476866,0.03744856,0.0007097179,0.0028307396,0.000034954217],"about_ca_topic_score_codex":0.0036039746,"about_ca_topic_score_gemma":0.006550715,"teacher_disagreement_score":0.0036039746,"about_ca_system_score_codex":0.00040111187,"about_ca_system_score_gemma":0.0006184169,"threshold_uncertainty_score":0.008549154},"labels":[],"label_agreement":null},{"id":"W2093039233","doi":"10.1115/detc2009-86551","title":"Testbed of a Novel Robotic Pitch-Roll Wrist for Parameter Identification: Modeling and Analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Stiffness; Inertia; Bevel gear; Computer science; System identification; Work (physics); Bevel; Identification (biology); Engineering; Control theory (sociology); Mechanical engineering; Control engineering; Structural engineering; Artificial intelligence; Physics; Aerospace engineering; Data modeling","score_opus":0.020319519249134863,"score_gpt":0.24921273964619822,"score_spread":0.22889322039706336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093039233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33734012,0.00036096026,0.65052253,0.00024229093,0.00010815927,0.00041972013,0.00057032146,0.0042453203,0.006190474],"genre_scores_gemma":[0.9559339,0.00014832134,0.04124999,0.00001599271,0.0000074195113,0.00027730907,0.00030355473,0.000035540845,0.0020279554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997509,0.00005787813,0.000021886128,0.000046788427,0.000096709904,0.000025869549],"domain_scores_gemma":[0.9996921,0.00009096371,0.000043680717,0.00007602775,0.00004891607,0.000048319034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058746483,0.00046905185,0.0006300188,0.00034462413,0.00025621348,0.0005940124,0.0009421549,0.000564633,0.0018864574],"category_scores_gemma":[0.00080409506,0.00018147414,0.00034248832,0.00020074254,0.00044075225,0.00054711074,0.0005042984,0.00031427972,0.0005126025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007045988,0.000397071,0.005043401,0.0007624287,0.00008692311,0.0013137929,0.00044849064,0.7147034,0.19958062,0.013075445,0.0018862913,0.06199758],"study_design_scores_gemma":[0.000088127235,0.0012630448,0.0028060542,0.00003636313,0.000024677232,0.00028865563,0.000076149,0.93509424,0.053161178,0.0014449743,0.005685033,0.000031472246],"about_ca_topic_score_codex":0.000640411,"about_ca_topic_score_gemma":0.00038722338,"teacher_disagreement_score":0.0018864574,"about_ca_system_score_codex":0.00030442662,"about_ca_system_score_gemma":0.00042900842,"threshold_uncertainty_score":0.0063108206},"labels":[],"label_agreement":null},{"id":"W2094986328","doi":"10.1016/j.ijmachtools.2003.11.005","title":"Model-based controller design for machine tool direct feed drives","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); PID controller; Transfer function; Compensation (psychology); Controller (irrigation); Control engineering; Feed forward; Actuator; Step response; Ripple; System identification; Machine tool; Engineering; Observer (physics); Computer science; Control (management); Mechanical engineering; Artificial intelligence; Temperature control","score_opus":0.012250490241544744,"score_gpt":0.24063719741057918,"score_spread":0.22838670716903445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094986328","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009580604,0.0006037645,0.9845467,0.00010806118,0.0001014297,0.00007774645,0.00003901047,0.00068426505,0.0042584906],"genre_scores_gemma":[0.9075004,0.00052827684,0.086901054,0.00010508199,0.000050385624,0.00032497174,0.00012175723,0.000091749374,0.0043761726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962425,0.000074670286,0.000023578319,0.00006375096,0.00018276359,0.00003091515],"domain_scores_gemma":[0.99955076,0.00014159193,0.000060644947,0.00003718308,0.00019518135,0.0000146563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005754837,0.0008905847,0.0009846475,0.00039620904,0.00052732206,0.0013821187,0.0011174089,0.001104764,0.0028293205],"category_scores_gemma":[0.0013177545,0.00060243363,0.000559692,0.00028704695,0.00040523155,0.0006188328,0.00061764935,0.000996732,0.00085579586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019635027,0.00007587302,0.00027891385,0.00039830976,0.00008397809,0.00010052462,0.00014256928,0.86831635,0.01297141,0.005694155,0.0015555712,0.11018597],"study_design_scores_gemma":[0.000033855616,0.00010780533,0.0001570359,0.00001627167,0.000018077073,0.00003267216,0.000010535539,0.9937179,0.003058765,0.001218768,0.0016186344,0.000009689553],"about_ca_topic_score_codex":0.0041411985,"about_ca_topic_score_gemma":0.005096198,"teacher_disagreement_score":0.0041411985,"about_ca_system_score_codex":0.00057862676,"about_ca_system_score_gemma":0.0007097553,"threshold_uncertainty_score":0.009464979},"labels":[],"label_agreement":null},{"id":"W2095782597","doi":"10.1115/1.4002384","title":"Iterative Learning Control With Switching Gain Feedback for Nonlinear Systems","year":2010,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Iterative learning control; Control theory (sociology); Tracking error; Initialization; Trajectory; Nonlinear system; Computer science; Convergence (economics); Tracking (education); Control engineering; Control (management); Engineering; Artificial intelligence","score_opus":0.003495280808034045,"score_gpt":0.21070115718501004,"score_spread":0.207205876376976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095782597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009351457,0.0003231176,0.9868846,0.000089189896,0.000038704115,0.000033275363,0.000007174613,0.00026374854,0.0030087745],"genre_scores_gemma":[0.9154462,0.00047693672,0.080573894,0.00013225336,0.0000700192,0.00021482815,0.000052444208,0.000035387216,0.002998023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940836,0.00014451648,0.000035601093,0.00009447653,0.00026960485,0.00004746738],"domain_scores_gemma":[0.9992065,0.00043182305,0.00008925985,0.00007091328,0.00018125946,0.000020310797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088713225,0.0005918722,0.00050233694,0.00034987793,0.0003513339,0.000680782,0.00077123847,0.00067624974,0.001196326],"category_scores_gemma":[0.0023884631,0.00018384574,0.0003791434,0.00043821265,0.00093910116,0.0005294689,0.00070593785,0.0009685175,0.00018139319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013800323,0.000107832675,0.0005985256,0.00028466186,0.00005852951,0.00014138925,0.00027829662,0.7698463,0.011047664,0.03695885,0.0014092771,0.1791307],"study_design_scores_gemma":[0.000013803445,0.00006347925,0.00007995357,0.000006124669,0.0000048178827,0.00001718948,0.0000046004043,0.99434125,0.0012053136,0.0035680246,0.0006891512,0.0000062141457],"about_ca_topic_score_codex":0.0034819928,"about_ca_topic_score_gemma":0.0018694664,"teacher_disagreement_score":0.0034819928,"about_ca_system_score_codex":0.00066151423,"about_ca_system_score_gemma":0.000808454,"threshold_uncertainty_score":0.006923437},"labels":[],"label_agreement":null},{"id":"W2095928699","doi":"10.1109/wcica.2006.1713297","title":"A Genetic Algorithms Approach to Model Parameter Estimation of a Robot Joint with Torque Sensing","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Torque; Genetic algorithm; Joint (building); Computer science; Identification (biology); Estimation theory; Robot; Control theory (sociology); Algorithm; Artificial intelligence; Engineering; Machine learning; Control (management); Physics","score_opus":0.011603572471595016,"score_gpt":0.19459168035902066,"score_spread":0.18298810788742564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095928699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016276627,0.00009899198,0.9972256,0.00004434349,0.000013552948,0.000015538826,0.00000593298,0.0001734855,0.0007947879],"genre_scores_gemma":[0.24870257,0.00061810645,0.74597317,0.00011679352,0.00007295116,0.00040441437,0.00010460081,0.00010646956,0.0039008718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996654,0.00010905792,0.000015376248,0.000052386178,0.00013116212,0.000026588561],"domain_scores_gemma":[0.9996326,0.00019101685,0.000049767794,0.00003221833,0.00008302987,0.0000112683765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054171955,0.0010221502,0.00079802965,0.00086425734,0.0004872841,0.0007158615,0.001347069,0.0012897545,0.0012397221],"category_scores_gemma":[0.0017323524,0.00043856996,0.00077275175,0.00076869497,0.00081492943,0.0005933591,0.00054941763,0.0012996817,0.0004520019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017178625,0.000031074036,0.00017857554,0.00004424386,0.000051943232,0.000061699524,0.0000639268,0.92274606,0.003473771,0.013021084,0.0004298515,0.059880633],"study_design_scores_gemma":[0.000006020855,0.000024885021,0.00005939373,0.0000062032923,0.000009747866,0.000027113452,0.00000496164,0.99405307,0.0007573047,0.0043409234,0.00070156704,0.000008900555],"about_ca_topic_score_codex":0.009762284,"about_ca_topic_score_gemma":0.0052480367,"teacher_disagreement_score":0.009762284,"about_ca_system_score_codex":0.00061143993,"about_ca_system_score_gemma":0.0010846608,"threshold_uncertainty_score":0.019410908},"labels":[],"label_agreement":null},{"id":"W2096230864","doi":"10.1115/1.3123336","title":"Modeling and Control of Contouring Errors for Five-Axis Machine Tools—Part II: Precision Contour Controller Design","year":2009,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Contouring; Machine tool; Controller (irrigation); Kinematics; Numerical control; Machining; Computer science; Path (computing); Tool path; Control theory (sociology); Orientation (vector space); Tracking (education); Trajectory; Tracking error; Control engineering; Engineering; Control (management); Artificial intelligence; Mechanical engineering; Mathematics","score_opus":0.014170907389298793,"score_gpt":0.2214044248058742,"score_spread":0.2072335174165754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096230864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027258929,0.00022637496,0.9695147,0.000058154368,0.000027315707,0.00005857075,0.000020003361,0.00019470796,0.002641275],"genre_scores_gemma":[0.95469,0.00016210698,0.043144383,0.000020264928,0.0000114038185,0.00012589364,0.000029960767,0.000015558862,0.0018005215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996364,0.00004812894,0.00002284931,0.000059740607,0.00020646048,0.000026367654],"domain_scores_gemma":[0.999587,0.00011768848,0.00010033268,0.000051138588,0.00013091616,0.000012881589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006359654,0.00048630105,0.00033279552,0.00028579438,0.00021728035,0.000781174,0.00083716336,0.00061501976,0.0010640774],"category_scores_gemma":[0.0008938909,0.00023763913,0.00029690558,0.00025589857,0.000519887,0.00043914746,0.00037799106,0.00054721505,0.00018664777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008983057,0.00004365464,0.00059869664,0.00011310256,0.000022870658,0.00007903749,0.00012198354,0.93037415,0.016887514,0.00705545,0.00035695266,0.044256724],"study_design_scores_gemma":[0.0000086278405,0.00004749288,0.00017080316,0.000006025812,0.000003797943,0.00001217129,0.0000034041814,0.9965732,0.0023001926,0.0004329529,0.000438094,0.0000032301252],"about_ca_topic_score_codex":0.0038482076,"about_ca_topic_score_gemma":0.0018430295,"teacher_disagreement_score":0.0038482076,"about_ca_system_score_codex":0.00046909903,"about_ca_system_score_gemma":0.0006078071,"threshold_uncertainty_score":0.0076515675},"labels":[],"label_agreement":null},{"id":"W2097026048","doi":"10.1049/ip-cta:20041231","title":"Fault-tolerant control against stuck actuator faults","year":2005,"lang":"en","type":"article","venue":"IEE Proceedings - Control Theory and Applications","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Actuator; Observer (physics); Fault tolerance; Compensation (psychology); FTCS scheme; Transient (computer programming); Convergence (economics); Control engineering; Fault (geology); Controller (irrigation); Engineering; Control system; Computer science; Control (management); Mathematics; Artificial intelligence; Differential equation; Reliability engineering","score_opus":0.003312211939422917,"score_gpt":0.203428791747259,"score_spread":0.2001165798078361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097026048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062919006,0.0002522639,0.9336162,0.000109835666,0.00008528783,0.00003005992,0.000012316512,0.00072398345,0.0022509643],"genre_scores_gemma":[0.98377776,0.00006935702,0.015379355,0.000032894837,0.000015897971,0.000033005006,0.000012880968,0.0000114860195,0.00066725636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958175,0.00006934022,0.000027614482,0.000074753756,0.0001796159,0.000066939596],"domain_scores_gemma":[0.9991942,0.00022270264,0.00022881312,0.000096236996,0.00022641818,0.000031563246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004750041,0.00053352397,0.00058140437,0.00029858376,0.00030686386,0.00065472967,0.0008258676,0.00059052603,0.00056255865],"category_scores_gemma":[0.0019422576,0.00012855792,0.00030415767,0.00020657075,0.00053641107,0.0005934425,0.000528913,0.0005006779,0.00012103058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032174189,0.00006371283,0.00097375904,0.0002553213,0.00006826861,0.0003481541,0.0005063893,0.7438003,0.08975849,0.013832089,0.0011246664,0.14894699],"study_design_scores_gemma":[0.000019425017,0.00020931016,0.00027510076,0.0000122820875,0.000015979314,0.000076499164,0.000020770893,0.9815216,0.014621567,0.0024108898,0.00080504594,0.0000115784505],"about_ca_topic_score_codex":0.0013680233,"about_ca_topic_score_gemma":0.0006675177,"teacher_disagreement_score":0.0013680233,"about_ca_system_score_codex":0.00034321655,"about_ca_system_score_gemma":0.000398801,"threshold_uncertainty_score":0.0027201772},"labels":[],"label_agreement":null},{"id":"W2097424664","doi":"10.1109/icit.2004.1490787","title":"Multi-loop PI tuning using a multiobjective genetic algorithm","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Overshoot (microwave communication); Control theory (sociology); Settling time; PID controller; Convergence (economics); Computer science; Genetic algorithm; Loop (graph theory); Transient (computer programming); Process (computing); Transient response; Controller (irrigation); Step response; Algorithm; Mathematical optimization; Mathematics; Control engineering; Engineering; Control (management); Artificial intelligence","score_opus":0.015086497358762222,"score_gpt":0.24343649563487457,"score_spread":0.22834999827611235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097424664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009207177,0.00006866951,0.98890066,0.000040735544,0.000017998313,0.000049703893,0.0000063570396,0.0003584227,0.0013502198],"genre_scores_gemma":[0.3102937,0.00012967805,0.68664265,0.000086744796,0.000023995188,0.00027591415,0.000041329968,0.0000745999,0.00243143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999699,0.00007976111,0.000012039531,0.00006328805,0.00011593535,0.000029978697],"domain_scores_gemma":[0.9996723,0.00016338484,0.000048153208,0.000028066659,0.00007408867,0.000014015627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007189483,0.0007142458,0.00064334855,0.0006604484,0.00044753426,0.0006639203,0.0008721402,0.0008437752,0.0014216034],"category_scores_gemma":[0.0013063095,0.00039224082,0.0005454973,0.0003427369,0.00048486295,0.00043772857,0.00039116264,0.0008999749,0.0003440121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006054732,0.00012070234,0.00046324378,0.0000770105,0.00006684487,0.00007781921,0.00011750878,0.8302226,0.014676689,0.006615129,0.0004987814,0.14700314],"study_design_scores_gemma":[0.000020262678,0.000052746946,0.00010561483,0.000006401958,0.000007951729,0.00002860615,0.000006429307,0.99606675,0.0019399568,0.0010251498,0.00073305285,0.0000069716966],"about_ca_topic_score_codex":0.002113686,"about_ca_topic_score_gemma":0.0024128694,"teacher_disagreement_score":0.002113686,"about_ca_system_score_codex":0.00053384394,"about_ca_system_score_gemma":0.00078416994,"threshold_uncertainty_score":0.0047557354},"labels":[],"label_agreement":null},{"id":"W2098417708","doi":"10.1109/ccece.2004.1349726","title":"New adaptive iterative learning control (AILC) for uncertain robot manipulators","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Robustness (evolution); Adaptive control; Computer science; Parametric statistics; Robot; Lyapunov function; A priori and a posteriori; Trajectory; Robust control; Control engineering; Artificial intelligence; Control system; Mathematics; Engineering; Control (management); Nonlinear system","score_opus":0.013836704165145418,"score_gpt":0.2250183387867395,"score_spread":0.21118163462159406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098417708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003130021,0.00022552878,0.9952236,0.000048418922,0.00003902952,0.00002609266,0.000005234517,0.00018848522,0.0011136135],"genre_scores_gemma":[0.48344922,0.00065760926,0.50886315,0.0002228914,0.00013799733,0.0003508795,0.00009357353,0.00008266991,0.0061419923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994911,0.000084409614,0.000036456226,0.00009410701,0.00025665635,0.00003725906],"domain_scores_gemma":[0.9995215,0.00013958421,0.000093097595,0.000052915355,0.00016256014,0.000030463856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007147681,0.00067598943,0.0005338391,0.00040426463,0.0003332254,0.00064009917,0.0014899472,0.00091601297,0.0013557425],"category_scores_gemma":[0.0015109299,0.00026217132,0.00038733595,0.00039541928,0.0008288986,0.00080476777,0.00090577186,0.0010416296,0.00031276012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001268653,0.00008939088,0.00070688553,0.00044269825,0.000073870564,0.00020960612,0.00038618463,0.6039142,0.02119609,0.045473132,0.0020916902,0.32528946],"study_design_scores_gemma":[0.000018503211,0.00006893265,0.000076293916,0.000010424954,0.000006005618,0.00003818232,0.0000062203126,0.992547,0.0018087354,0.0027949917,0.0026144276,0.00001034811],"about_ca_topic_score_codex":0.0016461578,"about_ca_topic_score_gemma":0.0012286619,"teacher_disagreement_score":0.0016461578,"about_ca_system_score_codex":0.0004507126,"about_ca_system_score_gemma":0.00057981943,"threshold_uncertainty_score":0.004535377},"labels":[],"label_agreement":null},{"id":"W2098571500","doi":"10.1109/isic.2007.4450892","title":"A Unit-Gain D-type Iterative Learning Control Scheme: Application to a 6-DOF Robot Manipulator","year":2007,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Differentiator; Phase shift module; Computer science; Feature (linguistics); Scheme (mathematics); Engineering; Mathematics; Artificial intelligence; Control (management); Computer vision","score_opus":0.008681015471407845,"score_gpt":0.24560548610057087,"score_spread":0.23692447062916303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098571500","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026874915,0.00015680023,0.96888596,0.0000975248,0.000036059548,0.000058406185,0.000009811517,0.0005147861,0.0033657176],"genre_scores_gemma":[0.56912565,0.0001532971,0.42788982,0.000084194515,0.000021944923,0.000079953905,0.000021322656,0.000019022818,0.0026047993],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998271,0.000030333937,0.000014785723,0.00003223216,0.00008230291,0.000013272392],"domain_scores_gemma":[0.99978715,0.000053348926,0.00004180183,0.000043281714,0.00005495261,0.000019444182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034443542,0.00028114463,0.00021414405,0.00020462197,0.00024140468,0.00028391424,0.00083031604,0.00050121703,0.0013710094],"category_scores_gemma":[0.00053894613,0.00012728797,0.00018926752,0.00019796172,0.00037969643,0.00037218432,0.00039423365,0.00053559244,0.00029545414],"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":[0.00037656346,0.00014774196,0.0010238508,0.00051526946,0.000051756273,0.0006398704,0.0005023981,0.12809739,0.36296082,0.025429482,0.0013577654,0.47889706],"study_design_scores_gemma":[0.00010616522,0.0010712516,0.00072246516,0.000032321917,0.000024610476,0.0005710362,0.000032600008,0.8747568,0.10619257,0.003017778,0.013411719,0.00006064789],"about_ca_topic_score_codex":0.0005976525,"about_ca_topic_score_gemma":0.0006065212,"teacher_disagreement_score":0.0013710094,"about_ca_system_score_codex":0.00021051099,"about_ca_system_score_gemma":0.00025527377,"threshold_uncertainty_score":0.004586458},"labels":[],"label_agreement":null},{"id":"W2099838894","doi":"10.1504/ijma.2015.068453","title":"A modified integral resonant control scheme for vibration suppression of parallel kinematic mechanisms with flexible links","year":2015,"lang":"en","type":"article","venue":"International Journal of Mechatronics and Automation","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Workspace; Robustness (evolution); Control theory (sociology); Kinematics; Vibration; Cantilever; Attenuation; Vibration control; Computer science; Quantitative feedback theory; Robust control; Topology (electrical circuits); Engineering; Physics; Control system; Acoustics; Control (management); Structural engineering; Robot; Classical mechanics; Optics","score_opus":0.013489922299811186,"score_gpt":0.24542131136233045,"score_spread":0.23193138906251926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099838894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037726413,0.000271246,0.9570228,0.00006201625,0.00008885231,0.00006901798,0.000018079349,0.00050895644,0.004232728],"genre_scores_gemma":[0.85479677,0.00013755642,0.14198238,0.00005418633,0.000040429983,0.00009777223,0.000024895366,0.000027284903,0.0028386968],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996985,0.00003280704,0.000019955467,0.000078658355,0.00014031008,0.000029834307],"domain_scores_gemma":[0.9997813,0.00004783425,0.000056576642,0.000041734034,0.000056004872,0.000016452688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039750742,0.0003917035,0.00029095283,0.000303942,0.00027497456,0.00029194035,0.0011526067,0.00039639772,0.0018218941],"category_scores_gemma":[0.0005223008,0.00013331293,0.00029931913,0.00018201309,0.0004250941,0.0003483616,0.0004919814,0.0004342886,0.0003143906],"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":[0.00032989949,0.00010345579,0.0004041221,0.00033508494,0.000045568002,0.00027229692,0.00031719802,0.07043206,0.6031464,0.024151593,0.0010358231,0.29942656],"study_design_scores_gemma":[0.00010287266,0.0010059256,0.0009838475,0.000038496877,0.00005225339,0.0004508974,0.000031442654,0.8752809,0.10875537,0.003852135,0.009372056,0.000073755036],"about_ca_topic_score_codex":0.0005070913,"about_ca_topic_score_gemma":0.0005774469,"teacher_disagreement_score":0.0018218941,"about_ca_system_score_codex":0.00022673533,"about_ca_system_score_gemma":0.0002985616,"threshold_uncertainty_score":0.006094873},"labels":[],"label_agreement":null},{"id":"W2100185852","doi":"10.1109/tcst.2009.2030789","title":"Adaptive Regulation in Switched Bimodal Systems: An Experimental Evaluation","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Regulator; Control theory (sociology); Notation; Adaptive control; Surface (topology); Adaptive system; Beam (structure); Computer science; Mathematics; Control engineering; Engineering; Control (management); Artificial intelligence; Geometry","score_opus":0.013694907878155879,"score_gpt":0.25082902028057386,"score_spread":0.23713411240241797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100185852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8723175,0.00027147183,0.12090048,0.00017453077,0.00014150832,0.0003268703,0.0001448123,0.0013012479,0.004421545],"genre_scores_gemma":[0.9905157,0.0000527869,0.008344608,0.000028207514,0.000007880177,0.0001227661,0.00004629463,0.000015881533,0.000865895],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946517,0.00009313283,0.000039409508,0.0001275819,0.00020138289,0.00007337054],"domain_scores_gemma":[0.999003,0.00043709573,0.00010411888,0.00016908675,0.00022621604,0.000060538405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075414724,0.00038905398,0.0004121511,0.000330839,0.00024716405,0.00054082077,0.00076679065,0.00078856223,0.0028540564],"category_scores_gemma":[0.0018000981,0.00012222516,0.00025133629,0.00022165656,0.0004824722,0.00033791724,0.00062134664,0.00046217008,0.00031012375],"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":[0.0022443053,0.0015973664,0.0017785036,0.0010365351,0.00008562085,0.00027897622,0.0005487176,0.07478558,0.8228638,0.0021602279,0.00073601335,0.09188436],"study_design_scores_gemma":[0.000504304,0.013003879,0.0060735955,0.00007109374,0.00010731826,0.0001872117,0.0003073934,0.47428337,0.5005311,0.0010051306,0.0038454472,0.00008009928],"about_ca_topic_score_codex":0.0008354269,"about_ca_topic_score_gemma":0.00060072786,"teacher_disagreement_score":0.0028540564,"about_ca_system_score_codex":0.00027887733,"about_ca_system_score_gemma":0.00026812064,"threshold_uncertainty_score":0.00954777},"labels":[],"label_agreement":null},{"id":"W2100884632","doi":"10.5539/mas.v3n9p95","title":"The Performance Study of Hybrid-driving Differential Gear Trains","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Differential (mechanical device); Computer science; Train; Gear train; Test bench; Encoder; Control theory (sociology); Mechanism (biology); Controller (irrigation); Variable (mathematics); Automotive engineering; Control engineering; Engineering; Control (management); Mathematics; Artificial intelligence; Physics; Embedded system","score_opus":0.007180698560249861,"score_gpt":0.20768649781692092,"score_spread":0.20050579925667106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100884632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97630954,0.00008391859,0.021807184,0.000020669977,0.000010422133,0.000012557388,0.00001808607,0.00007527165,0.0016623538],"genre_scores_gemma":[0.9988959,0.000013871632,0.00077378604,0.0000016606452,7.482581e-7,0.0000026007042,0.000013216764,0.0000025369968,0.00029565464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996257,0.000062899475,0.00002857111,0.000058110458,0.00017479276,0.00004981726],"domain_scores_gemma":[0.9992085,0.00029536922,0.00008696544,0.00009572824,0.00027025724,0.000043177162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006498754,0.0002533039,0.0002794666,0.00037747665,0.00027144692,0.00038604572,0.0005491614,0.00032769956,0.0016433821],"category_scores_gemma":[0.0013232146,0.00011818048,0.0001893112,0.00022060952,0.00025669837,0.0005251705,0.0003745954,0.00015137486,0.00023619142],"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":[0.0025459249,0.00029722866,0.020074654,0.00065131957,0.00018547433,0.0005038129,0.0007489836,0.22684243,0.5795571,0.0050089653,0.00041961836,0.16316447],"study_design_scores_gemma":[0.000048568127,0.002763863,0.013472312,0.000017615543,0.00005433239,0.0003491407,0.00022657699,0.75832736,0.22226362,0.0007129952,0.0017248341,0.00003883194],"about_ca_topic_score_codex":0.0008193377,"about_ca_topic_score_gemma":0.00046625503,"teacher_disagreement_score":0.0016433821,"about_ca_system_score_codex":0.00024000519,"about_ca_system_score_gemma":0.00015827102,"threshold_uncertainty_score":0.005497694},"labels":[],"label_agreement":null},{"id":"W2100955788","doi":"10.1109/icsmc.1993.384966","title":"Perfect tracking/regulation controller design for multivariable systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multivariable calculus; Control theory (sociology); Servomechanism; Frequency domain; Robust control; Perturbation (astronomy); Controller (irrigation); Computer science; Mathematics; Control engineering; Control system; Engineering; Artificial intelligence; Control (management)","score_opus":0.036699520714823144,"score_gpt":0.21552888293836203,"score_spread":0.1788293622235389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100955788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048629344,0.0002678514,0.99165744,0.000060466708,0.000045050296,0.000026086393,0.000016878274,0.00043345708,0.0026297045],"genre_scores_gemma":[0.8418085,0.00054217124,0.15085933,0.00019330163,0.00012016985,0.00017840501,0.00010012712,0.00006941784,0.0061285426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950016,0.000077044395,0.00002813286,0.00009356797,0.00025842557,0.000042657284],"domain_scores_gemma":[0.99974805,0.000062993684,0.00005271809,0.000036846002,0.00008795692,0.00001144034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006489813,0.00037439424,0.0004873549,0.00029030195,0.00029847532,0.00078124437,0.000585533,0.0005281166,0.0017935802],"category_scores_gemma":[0.0010983538,0.00025440587,0.00031024351,0.00022601182,0.00049669953,0.00050090416,0.00067282136,0.0005290837,0.00031865353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010667212,0.000036997186,0.00034228683,0.0003913322,0.00005716029,0.00018511564,0.00018840074,0.62490815,0.04046894,0.09497302,0.003080482,0.23526148],"study_design_scores_gemma":[0.000029990784,0.00017863054,0.00024136741,0.000018132308,0.00001856363,0.00007122027,0.000012669671,0.9699425,0.0067822463,0.016240861,0.0064477287,0.000016051868],"about_ca_topic_score_codex":0.0011058568,"about_ca_topic_score_gemma":0.00092665624,"teacher_disagreement_score":0.0017935802,"about_ca_system_score_codex":0.00037433713,"about_ca_system_score_gemma":0.00052918534,"threshold_uncertainty_score":0.006000161},"labels":[],"label_agreement":null},{"id":"W2101187642","doi":"10.1109/afrcon.2009.5308088","title":"Terminal Iterative Learning Control with Internal Model Control applied to the thermoforming reheat phase","year":2009,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"","keywords":"Thermoforming; Iterative learning control; Terminal (telecommunication); Temperature control; Computer science; Phase (matter); Mechanical engineering; Control (management); Materials science; Control theory (sociology); Engineering; Artificial intelligence; Physics","score_opus":0.004606662326565253,"score_gpt":0.22045174134045067,"score_spread":0.21584507901388542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101187642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012254633,0.00013021285,0.9822031,0.00010227037,0.000048261165,0.000046129233,0.000008262964,0.00047473793,0.0047323178],"genre_scores_gemma":[0.9244393,0.0001285278,0.07216065,0.00008639982,0.00003735941,0.00016277166,0.000033636185,0.000044644163,0.0029067819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993197,0.00016995042,0.00004077674,0.00014207853,0.00023648556,0.00009111116],"domain_scores_gemma":[0.99894136,0.00039046697,0.00016726372,0.00009731224,0.00035244814,0.00005112403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011423555,0.0006491319,0.0006574111,0.0003234695,0.00048726017,0.00093887467,0.0010512017,0.0007479335,0.0018143575],"category_scores_gemma":[0.0027120304,0.00023948995,0.00052176183,0.00043155006,0.001009814,0.0005426094,0.0009973453,0.0010845817,0.00032004158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017694861,0.00009529581,0.0004934783,0.00015439164,0.00004128215,0.000106500214,0.00028043633,0.8405369,0.008897434,0.016659142,0.0012909363,0.13126726],"study_design_scores_gemma":[0.000010880027,0.00007614365,0.00005028532,0.000006224008,0.000005563034,0.000013194924,0.0000038250846,0.9958947,0.0022570917,0.0011278766,0.0005477683,0.0000064292753],"about_ca_topic_score_codex":0.0035402016,"about_ca_topic_score_gemma":0.0022803806,"teacher_disagreement_score":0.0035402016,"about_ca_system_score_codex":0.0007103565,"about_ca_system_score_gemma":0.0010296504,"threshold_uncertainty_score":0.0070391893},"labels":[],"label_agreement":null},{"id":"W2102007130","doi":"10.1109/cca.2004.1387502","title":"Experimental evaluation of an adaptive iterative learning control scheme on a 5-DOF robot manipulator","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Iterative method; Scheme (mathematics); Computer science; Robot; Acceleration; Robot manipulator; Simple (philosophy); Control (management); Mathematical optimization; Mathematics; Artificial intelligence; Algorithm","score_opus":0.027924446678729804,"score_gpt":0.2809391279547199,"score_spread":0.25301468127599014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102007130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9332642,0.0002458896,0.0628998,0.00010291155,0.00006666697,0.00019275685,0.000058065954,0.0006887829,0.0024809504],"genre_scores_gemma":[0.98148566,0.00006629388,0.016946819,0.00001758703,0.000006671377,0.00008196458,0.000050525916,0.000016325503,0.0013280358],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994584,0.00010247845,0.000046206213,0.00008370943,0.0002401681,0.000068968104],"domain_scores_gemma":[0.99847883,0.00048507578,0.00020010266,0.0002769608,0.00044789907,0.00011119517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094944,0.0005364706,0.0004014022,0.0004472619,0.00041145293,0.00033263152,0.0008786471,0.0009590764,0.0019444523],"category_scores_gemma":[0.0023194363,0.00021748139,0.0002871701,0.0002270018,0.0006057858,0.00056985085,0.000531161,0.00048332545,0.0002987985],"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":[0.0026217902,0.001909758,0.0022980126,0.0013646428,0.00011081059,0.0006108251,0.00094863476,0.09587715,0.74764574,0.001973233,0.00055799517,0.14408149],"study_design_scores_gemma":[0.0006442568,0.033514448,0.014214752,0.00011587862,0.000102841695,0.0003883356,0.0002915737,0.39161816,0.5539288,0.0006969906,0.0043448023,0.00013914029],"about_ca_topic_score_codex":0.0009235052,"about_ca_topic_score_gemma":0.00077652046,"teacher_disagreement_score":0.0019444523,"about_ca_system_score_codex":0.00020495823,"about_ca_system_score_gemma":0.0002549131,"threshold_uncertainty_score":0.0065048337},"labels":[],"label_agreement":null},{"id":"W2102269566","doi":"10.1109/isie.2012.6237277","title":"PID contour tracking control in position domain","year":2012,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Control theory (sociology); Robustness (evolution); Position (finance); Computer science; Time domain; Domain (mathematical analysis); Control engineering; Control system; Tracking (education); Frequency domain; Robust control; Control (management); Artificial intelligence; Engineering; Computer vision; Temperature control; Mathematics","score_opus":0.005830577833052366,"score_gpt":0.2076298047364377,"score_spread":0.20179922690338534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102269566","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01728901,0.00024885446,0.9782874,0.000059133657,0.0000809697,0.00003320487,0.000007935897,0.00034458213,0.0036489205],"genre_scores_gemma":[0.887777,0.0003704754,0.10580952,0.00010621224,0.00004841922,0.000082775936,0.000032897024,0.00003343653,0.0057393843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997768,0.00002845922,0.000011475998,0.000060603612,0.000109761575,0.0000129359905],"domain_scores_gemma":[0.99966013,0.00010221411,0.000052448187,0.000040119074,0.00013435472,0.000010770474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039808612,0.0003213146,0.00029712982,0.00023937605,0.00028138972,0.0005943998,0.00058484665,0.00045162483,0.0009276447],"category_scores_gemma":[0.0009943462,0.00013267656,0.0002095206,0.00032435483,0.00049785705,0.0004975657,0.0004020699,0.00046948614,0.0001816464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032113542,0.00011464487,0.00079943327,0.00027709515,0.000039386712,0.00025403514,0.0003009601,0.4778395,0.09759444,0.021588435,0.0021431579,0.3987278],"study_design_scores_gemma":[0.000025054123,0.00015337634,0.0002770948,0.000008477701,0.000009380631,0.0000696477,0.000010718699,0.98227835,0.012580423,0.0020379946,0.0025397295,0.000009843369],"about_ca_topic_score_codex":0.0013919796,"about_ca_topic_score_gemma":0.0006867566,"teacher_disagreement_score":0.0013919796,"about_ca_system_score_codex":0.00025324762,"about_ca_system_score_gemma":0.0003828065,"threshold_uncertainty_score":0.0031033158},"labels":[],"label_agreement":null},{"id":"W2104394768","doi":"10.1109/tcst.2010.2053541","title":"Automated Multiple Robust Track-Following Control System Design in Hard Disk Drives","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Samsung; University of British Columbia","keywords":"Control theory (sociology); Parametric statistics; Robust control; Transfer function; Controller (irrigation); Computer science; Robustness (evolution); Control engineering; Control system; Engineering; Mathematics; Control (management); Artificial intelligence","score_opus":0.008004811320453728,"score_gpt":0.20403432465705154,"score_spread":0.19602951333659782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104394768","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004174175,0.000058172594,0.9947364,0.000020378538,0.000011515984,0.000033883724,0.000009484785,0.00029982877,0.0006561106],"genre_scores_gemma":[0.5642108,0.000179215,0.43201715,0.00005727176,0.00004156849,0.00040526353,0.00008333667,0.00007983888,0.0029255752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990306,0.00016344698,0.000060609975,0.00022927516,0.00045965108,0.000056395933],"domain_scores_gemma":[0.9993863,0.00020862372,0.00011476543,0.000076602795,0.00019641664,0.00001720701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084594445,0.0006538355,0.0007598736,0.00028417824,0.00049305736,0.0010497371,0.0012463487,0.00073898153,0.0015096198],"category_scores_gemma":[0.0013900753,0.00044404503,0.0004966136,0.0002022316,0.0005508806,0.00063911953,0.0007631094,0.00089328096,0.00041101876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001283271,0.00006417025,0.00033178015,0.00024293797,0.00006138276,0.00013161958,0.00021773038,0.72012734,0.035287064,0.016272355,0.00085266517,0.22628257],"study_design_scores_gemma":[0.000023992237,0.00011387882,0.00012469517,0.000007875381,0.0000087089165,0.000027601733,0.000009023513,0.98957866,0.0068766824,0.0016249055,0.0015943701,0.000009552649],"about_ca_topic_score_codex":0.0024229588,"about_ca_topic_score_gemma":0.0019950136,"teacher_disagreement_score":0.0024229588,"about_ca_system_score_codex":0.00051821553,"about_ca_system_score_gemma":0.0010472429,"threshold_uncertainty_score":0.0050501227},"labels":[],"label_agreement":null},{"id":"W2107469063","doi":"10.1017/s0263574714000769","title":"Cross-coupled PID control in position domain for contour tracking","year":2014,"lang":"en","type":"article","venue":"Robotica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Control theory (sociology); Position (finance); Robustness (evolution); Computer science; Time domain; Tracking (education); Control engineering; Tracking error; Frequency domain; Domain (mathematical analysis); Artificial intelligence; Engineering; Control (management); Mathematics; Computer vision; Temperature control","score_opus":0.006638088693757793,"score_gpt":0.24041104081358008,"score_spread":0.2337729521198223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107469063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048181154,0.00019322301,0.9461634,0.00005845314,0.00008319656,0.00004317848,0.000007219978,0.00036958818,0.004900576],"genre_scores_gemma":[0.95326823,0.000104552826,0.043849465,0.00006104943,0.00001937958,0.00004079101,0.000017533606,0.000024681493,0.0026142984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954516,0.000048656264,0.00002839979,0.00010783885,0.00024016445,0.0000297957],"domain_scores_gemma":[0.9994941,0.00010016847,0.000085543106,0.00005835915,0.00023647495,0.000025326412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006227835,0.00040870297,0.00028868404,0.0003234507,0.00030631872,0.00068698014,0.00071472005,0.0004098102,0.0011824674],"category_scores_gemma":[0.0009090283,0.0002148941,0.00028721915,0.00026504224,0.0005013293,0.00050105964,0.000878383,0.0005179259,0.000215463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040616954,0.00019497931,0.0016485642,0.00032328087,0.000088962675,0.00031894448,0.00037014863,0.58862466,0.20014447,0.0139082605,0.0014981488,0.19247347],"study_design_scores_gemma":[0.000017835659,0.00017704398,0.00051262777,0.000008031559,0.0000141967375,0.00006048117,0.000011353718,0.9801199,0.016595144,0.0007967036,0.0016755299,0.000011104066],"about_ca_topic_score_codex":0.0013552177,"about_ca_topic_score_gemma":0.00094353966,"teacher_disagreement_score":0.0013552177,"about_ca_system_score_codex":0.00032072974,"about_ca_system_score_gemma":0.00044178535,"threshold_uncertainty_score":0.003955722},"labels":[],"label_agreement":null},{"id":"W2108330068","doi":"10.1109/aim.2010.5695935","title":"Adaptive iterative learning control for robot manipulators without using velocity signals","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Controller (irrigation); Computer science; Convergence (economics); Observer (physics); Lyapunov function; Robot; Tracking (education); Tracking error; Iterative method; Monotonic function; Scheme (mathematics); Control engineering; Artificial intelligence; Mathematics; Control (management); Algorithm; Engineering; Nonlinear system","score_opus":0.01982710095754138,"score_gpt":0.25155417671569713,"score_spread":0.23172707575815576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108330068","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021689262,0.0002611569,0.9752136,0.00006414725,0.00003080723,0.000023530229,0.0000044567114,0.00024463143,0.0024684055],"genre_scores_gemma":[0.91184723,0.00021273037,0.084467955,0.00006165713,0.000034755412,0.000098502445,0.000028487664,0.000023241644,0.0032254676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974805,0.000049440347,0.000015624166,0.00004772121,0.000108435524,0.00003072161],"domain_scores_gemma":[0.999632,0.00012808575,0.00008622436,0.000035856738,0.000103605504,0.00001422487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047878217,0.00044739517,0.00026888886,0.00019118267,0.00029086493,0.0003870108,0.0007266326,0.0003861488,0.00073835923],"category_scores_gemma":[0.0012534442,0.00014223017,0.00022876107,0.00020579225,0.0006004114,0.00042742727,0.00048374876,0.00052537845,0.0001707687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001770656,0.00009044376,0.000967779,0.00024666186,0.000046370176,0.00021719516,0.00042295546,0.63512254,0.03720611,0.031349327,0.00094224745,0.29321128],"study_design_scores_gemma":[0.000020388781,0.00016640355,0.00019856535,0.000009370502,0.000006076737,0.000036415528,0.000009673238,0.9902356,0.004066403,0.003956753,0.0012850885,0.000009259063],"about_ca_topic_score_codex":0.002188915,"about_ca_topic_score_gemma":0.001700542,"teacher_disagreement_score":0.002188915,"about_ca_system_score_codex":0.00033969877,"about_ca_system_score_gemma":0.0005218093,"threshold_uncertainty_score":0.004352331},"labels":[],"label_agreement":null},{"id":"W2109340065","doi":"10.1177/0142331213492368","title":"Youla parameterized adaptive regulation against unknown multiple narrow-band disturbances","year":2013,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Parameterized complexity; Controller (irrigation); Regulator; Linear system; Adaptive control; Mathematics; Set (abstract data type); Vibration control; Vibration; Computer science; Control (management); Algorithm","score_opus":0.013825317847907923,"score_gpt":0.17180322484467878,"score_spread":0.15797790699677086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109340065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010600069,0.00013281853,0.9877836,0.000034497436,0.00001065025,0.000016099844,0.000007507622,0.00020027839,0.0012144933],"genre_scores_gemma":[0.8511364,0.00037883312,0.1423789,0.00009027919,0.000031475378,0.00026418985,0.0000731911,0.00007544504,0.0055712084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967146,0.0000926703,0.000022927035,0.00007885518,0.00010047407,0.000033655047],"domain_scores_gemma":[0.999567,0.00015074681,0.0000930507,0.000060224324,0.00011859208,0.00001042794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051955535,0.00046131358,0.0006874075,0.00024019429,0.00021599616,0.0007277691,0.0009308157,0.0007878326,0.0010924928],"category_scores_gemma":[0.0013212658,0.00024407102,0.00043562785,0.00022590668,0.00051407726,0.0005895447,0.0007177124,0.0009263985,0.00047066598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027085774,0.00005622725,0.00066451915,0.00024225593,0.000098615295,0.0001281499,0.0002912013,0.6762874,0.13157967,0.029209703,0.000868573,0.16030273],"study_design_scores_gemma":[0.000010741506,0.00009726264,0.00019106551,0.000014217474,0.000009969765,0.000037968843,0.000014466536,0.98713326,0.009543118,0.001358625,0.0015746212,0.000014590015],"about_ca_topic_score_codex":0.00083491724,"about_ca_topic_score_gemma":0.0009827685,"teacher_disagreement_score":0.0010924928,"about_ca_system_score_codex":0.0003068384,"about_ca_system_score_gemma":0.00038589118,"threshold_uncertainty_score":0.003654778},"labels":[],"label_agreement":null},{"id":"W2110979133","doi":"10.1109/iciea.2011.5975726","title":"Position domain contour control for robotic system","year":2011,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University","funders":"","keywords":"Position (finance); Domain (mathematical analysis); Computer science; Trajectory; Motion control; Time domain; Control theory (sociology); Motion (physics); Tracking (education); Control system; Artificial intelligence; Computer vision; Control (management); Robot; Mathematics; Engineering; Physics","score_opus":0.009849787551655019,"score_gpt":0.188362546022565,"score_spread":0.17851275847090997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110979133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009743595,0.00019364002,0.98727334,0.00005398565,0.000055195826,0.000020522713,0.00000761193,0.0001822511,0.0024697606],"genre_scores_gemma":[0.85224706,0.000491864,0.14032222,0.000093708186,0.000061676445,0.00010632818,0.000053798543,0.0000427942,0.0065805935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998178,0.000028645416,0.000009377394,0.000048337046,0.000084390915,0.000011494212],"domain_scores_gemma":[0.999811,0.000052040938,0.000034143148,0.000026614329,0.00006728897,0.00000892691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031484923,0.0003544046,0.00027997757,0.00020791857,0.00023489361,0.0005083023,0.0005700288,0.00037850023,0.0012155517],"category_scores_gemma":[0.00057377876,0.000116674324,0.00021641732,0.00023582081,0.0004890978,0.00055332424,0.00044437317,0.00043820197,0.00020304057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026811942,0.000106271735,0.0006379077,0.00036554347,0.00004223188,0.00025732434,0.000333565,0.49921036,0.10393232,0.06306852,0.0025363911,0.32924142],"study_design_scores_gemma":[0.000022110235,0.0001442478,0.00017707402,0.00000975279,0.0000072729445,0.00006283818,0.000009227929,0.983833,0.008304245,0.0035404828,0.0038794125,0.000010404568],"about_ca_topic_score_codex":0.0011210125,"about_ca_topic_score_gemma":0.0006561305,"teacher_disagreement_score":0.0012155517,"about_ca_system_score_codex":0.00033756468,"about_ca_system_score_gemma":0.00035526688,"threshold_uncertainty_score":0.0040664077},"labels":[],"label_agreement":null},{"id":"W2111758389","doi":"10.24908/pceea.v0i0.4049","title":"DESIGN OF A FAST SERVO MULTI-ELEMENT FEED DRIVE","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Workspace; Computer science; Control engineering; Machine tool; Servomotor; Servo; Settling time; Robot; Engineering; Artificial intelligence; Mechanical engineering; Step response","score_opus":0.011615524618676626,"score_gpt":0.1858955706690818,"score_spread":0.17428004605040517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111758389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018217131,0.00023513453,0.97599673,0.00010430629,0.00009065555,0.00026621833,0.00004287344,0.0007614538,0.0042855665],"genre_scores_gemma":[0.41977906,0.0002725193,0.56842154,0.00013921525,0.00006006596,0.00054225576,0.000114121016,0.000068975794,0.0106022395],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995555,0.00003914158,0.00003451236,0.00009427217,0.00024786155,0.000028582024],"domain_scores_gemma":[0.99960524,0.0000819644,0.000043305998,0.000033163957,0.00020795326,0.000028446333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042182114,0.00041122647,0.000520889,0.00043475276,0.00038277273,0.00064289867,0.0012530575,0.0009250838,0.0027358804],"category_scores_gemma":[0.00057151285,0.00037534322,0.00023975156,0.00024592923,0.00023274295,0.00056518975,0.0004754449,0.00045609454,0.0012987779],"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":[0.0004420864,0.00018796018,0.0014340138,0.00087179046,0.00007270018,0.0005731399,0.00046313336,0.054551017,0.44937077,0.015833508,0.002429978,0.4737699],"study_design_scores_gemma":[0.00025131504,0.0024190901,0.0033427663,0.00016949332,0.0000840052,0.002184423,0.00009900923,0.6398708,0.25866216,0.0028691543,0.089923345,0.0001244092],"about_ca_topic_score_codex":0.0004884001,"about_ca_topic_score_gemma":0.000514698,"teacher_disagreement_score":0.0027358804,"about_ca_system_score_codex":0.00033343164,"about_ca_system_score_gemma":0.0005815449,"threshold_uncertainty_score":0.009152412},"labels":[],"label_agreement":null},{"id":"W2112410387","doi":"10.1191/0142331203tm072oa","title":"Design and tuning of valve position controllers with industrial applications","year":2003,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ranging; Position (finance); Control engineering; Computer science; Range (aeronautics); Control theory (sociology); Control (management); Set (abstract data type); Engineering; Telecommunications; Artificial intelligence","score_opus":0.023154188870821116,"score_gpt":0.1864343998498018,"score_spread":0.1632802109789807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112410387","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008550158,0.0002873214,0.98882675,0.0000452131,0.00004158859,0.00008148415,0.0000044715994,0.00035274832,0.0018102305],"genre_scores_gemma":[0.57076454,0.00039293905,0.42560273,0.00010811371,0.00007117545,0.00034900763,0.000028719112,0.0000494472,0.0026333926],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925226,0.00010449375,0.000054984892,0.00014853016,0.00039080047,0.00004880371],"domain_scores_gemma":[0.9993405,0.00019048213,0.000108781416,0.000076364704,0.00024266711,0.000041234503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009218301,0.0005440486,0.00052723964,0.00040846577,0.0003860246,0.0009615898,0.0010404086,0.0010291488,0.0011841141],"category_scores_gemma":[0.0022563664,0.00040226485,0.0003078954,0.00026835923,0.0004659389,0.00044386365,0.00069472677,0.00087416655,0.00040007505],"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":[0.00021914151,0.00020575548,0.0012380392,0.0005803807,0.00007764697,0.00032046673,0.00054694363,0.33841184,0.20764789,0.01724105,0.0012038309,0.432307],"study_design_scores_gemma":[0.00013676318,0.0005258547,0.0008207008,0.000049652324,0.00003214689,0.00025668275,0.000042452153,0.9469562,0.035353743,0.004694398,0.01109665,0.000034768727],"about_ca_topic_score_codex":0.00045608694,"about_ca_topic_score_gemma":0.0004813177,"teacher_disagreement_score":0.0011841141,"about_ca_system_score_codex":0.0002679356,"about_ca_system_score_gemma":0.0006304288,"threshold_uncertainty_score":0.004875183},"labels":[],"label_agreement":null},{"id":"W2112525497","doi":"10.1109/ssst.1988.17131","title":"Implementation and evaluation of digital and analog controllers for a motor-alternator","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Alternator; Controller (irrigation); Computer science; Control engineering; Control theory (sociology); Representation (politics); State (computer science); State space; Nonlinear system; Engineering; Artificial intelligence; Mathematics; Control (management); Algorithm","score_opus":0.017046788702437317,"score_gpt":0.29074844425759383,"score_spread":0.2737016555551565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112525497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45299813,0.00088424655,0.5160262,0.00055724365,0.00035864685,0.0013316886,0.0004036415,0.0077697644,0.019670421],"genre_scores_gemma":[0.9083924,0.0001100002,0.08649301,0.00007384839,0.000015638483,0.00020792117,0.00016264047,0.000051948522,0.004492545],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936646,0.00011492591,0.00006166084,0.000077080535,0.0003357372,0.000044133587],"domain_scores_gemma":[0.9984841,0.00052861514,0.00009936108,0.00020133452,0.0006110211,0.000075670134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012747427,0.00039798024,0.00027536313,0.00041857958,0.00041733126,0.00068820396,0.001244067,0.000626079,0.004819021],"category_scores_gemma":[0.0030417626,0.0002093816,0.00016945809,0.0002724698,0.00031898884,0.00052193744,0.00031967135,0.00044775588,0.00047529736],"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":[0.0021314807,0.0017846863,0.0037575841,0.0015412376,0.00020049096,0.00037563173,0.0005695384,0.18784307,0.27047127,0.009167105,0.0035178068,0.51864016],"study_design_scores_gemma":[0.000982254,0.0056639616,0.004592465,0.000068760426,0.00012005201,0.00025519423,0.00013044704,0.6195706,0.3491028,0.0013371452,0.01810941,0.000066894245],"about_ca_topic_score_codex":0.0034819136,"about_ca_topic_score_gemma":0.0024901868,"teacher_disagreement_score":0.004819021,"about_ca_system_score_codex":0.0006488211,"about_ca_system_score_gemma":0.00067836244,"threshold_uncertainty_score":0.016121268},"labels":[],"label_agreement":null},{"id":"W2113489563","doi":"10.1109/ccece.1999.804953","title":"Spatial loopshaping for cross-directional profile control: design and implementation","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Invariant (physics); Process control; Controller (irrigation); Extension (predicate logic); Control engineering; Process (computing); Control (management); Control theory (sociology); Engineering; Mathematics; Artificial intelligence","score_opus":0.01365148420839641,"score_gpt":0.2783704959398294,"score_spread":0.264719011731433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113489563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016956475,0.000082777566,0.9808655,0.00005431937,0.000015409949,0.000070614115,0.000006539485,0.0002795787,0.0016688622],"genre_scores_gemma":[0.8563151,0.00012052735,0.14169571,0.000045919674,0.000018312503,0.00022750354,0.000020528401,0.000022819464,0.0015336461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974316,0.000057191493,0.000015956806,0.000047908667,0.00011359404,0.000022219783],"domain_scores_gemma":[0.99969447,0.00010159903,0.00004809548,0.00003567938,0.00009928004,0.000020825732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006208251,0.0004369496,0.0002976013,0.00022595881,0.0002567909,0.00060585333,0.0007394408,0.0006564914,0.0017864737],"category_scores_gemma":[0.00097604765,0.00018576131,0.00023619774,0.00018486229,0.0005391843,0.00041246557,0.00058297836,0.0005202561,0.00028617118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031962758,0.00023335054,0.0010266401,0.00025539388,0.000053165448,0.00017927635,0.00034481232,0.5084839,0.074825644,0.040354677,0.0009438038,0.37297976],"study_design_scores_gemma":[0.000034358025,0.00022609421,0.00016577823,0.000009795604,0.0000070568412,0.000034706314,0.0000119202205,0.98740023,0.008728759,0.0019504075,0.0014233933,0.000007442841],"about_ca_topic_score_codex":0.0014679758,"about_ca_topic_score_gemma":0.0011808943,"teacher_disagreement_score":0.0017864737,"about_ca_system_score_codex":0.000367468,"about_ca_system_score_gemma":0.00050372095,"threshold_uncertainty_score":0.0059763193},"labels":[],"label_agreement":null},{"id":"W2115438080","doi":"10.1109/tmech.2010.2083680","title":"Adaptive Tracking Control of Hybrid Machines: A Closed-Chain Five-Bar Mechanism Case","year":2010,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Control theory (sociology); Servomotor; Trajectory; Tracking error; Computer science; Controller (irrigation); Tracking (education); Bar (unit); Adaptive control; Flexibility (engineering); Control engineering; Engineering; Control (management); Mathematics; Artificial intelligence; Physics","score_opus":0.007214072700452885,"score_gpt":0.21196416195607432,"score_spread":0.20475008925562144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115438080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1559394,0.0006408414,0.8351309,0.0002912646,0.000090545436,0.00007271049,0.00003151382,0.00018655969,0.0076163043],"genre_scores_gemma":[0.98812836,0.00010178305,0.009539379,0.000024030871,0.000016863016,0.000058632828,0.000009387024,0.000004729907,0.0021169093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996146,0.000099344084,0.000023395763,0.00010794317,0.00009902759,0.00005570923],"domain_scores_gemma":[0.9992724,0.00030662326,0.0001884538,0.000053762426,0.00013068513,0.000048087608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010369043,0.0006113794,0.00059044384,0.000456873,0.00058942137,0.0009716807,0.0010560347,0.0020301987,0.0024048325],"category_scores_gemma":[0.0014137472,0.0002946033,0.0005118116,0.00043354472,0.001173972,0.0007542709,0.0010492251,0.00062886433,0.00023395642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022015357,0.00006544416,0.00079583883,0.00019770116,0.00006165871,0.0011053634,0.0002706332,0.9179749,0.015702887,0.042294968,0.00034675948,0.020963684],"study_design_scores_gemma":[0.00003143195,0.00012278031,0.00018188845,0.000007308974,0.0000077413415,0.00005761791,0.000016690074,0.99555135,0.00057656993,0.003106459,0.0003298566,0.000010365207],"about_ca_topic_score_codex":0.0027694257,"about_ca_topic_score_gemma":0.0010572774,"teacher_disagreement_score":0.0027694257,"about_ca_system_score_codex":0.00040786853,"about_ca_system_score_gemma":0.00037169995,"threshold_uncertainty_score":0.008044958},"labels":[],"label_agreement":null},{"id":"W2117131289","doi":"10.1115/1.4025755","title":"Position Domain Synchronization Control of Multi-Degrees of Freedom Robotic Manipulator","year":2013,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Synchronization (alternating current); Control theory (sociology); Domain (mathematical analysis); Computer science; Equidistant; Motion (physics); Nonlinear system; Lyapunov function; Control engineering; Motion control; Tracking (education); Time domain; Artificial intelligence; Control (management); Computer vision; Robot; Engineering; Mathematics","score_opus":0.008913757363824706,"score_gpt":0.18914221817526963,"score_spread":0.18022846081144492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117131289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037578627,0.00025903957,0.9600376,0.0000815556,0.00007094605,0.00002704779,0.000009601147,0.00014847245,0.00178708],"genre_scores_gemma":[0.94051844,0.00021764135,0.05748467,0.00004085657,0.00003537001,0.00006817515,0.00002345647,0.000012947064,0.0015984587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997241,0.0000436812,0.000018115534,0.00008514854,0.00010899424,0.000019961288],"domain_scores_gemma":[0.99976784,0.00005344811,0.00007195817,0.00002652928,0.00006595594,0.000014317397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004485629,0.00038291997,0.00030708598,0.00021800498,0.00029457745,0.00034325157,0.0006552303,0.00035183132,0.00052575296],"category_scores_gemma":[0.00058606535,0.00015522655,0.00023575495,0.00021821959,0.00048868905,0.00046253102,0.00057433575,0.0004276296,0.000087226246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036265622,0.00009778928,0.0015397352,0.00031270372,0.00006587426,0.00046676022,0.00052241597,0.574547,0.13399851,0.040403277,0.0014491716,0.24623403],"study_design_scores_gemma":[0.000036886122,0.00020406082,0.000450309,0.000008928187,0.000008573635,0.000068988826,0.000015003636,0.9889341,0.006805382,0.0019098939,0.0015465169,0.0000113917085],"about_ca_topic_score_codex":0.0009350615,"about_ca_topic_score_gemma":0.00070477225,"teacher_disagreement_score":0.0009350615,"about_ca_system_score_codex":0.00029664242,"about_ca_system_score_gemma":0.00038971793,"threshold_uncertainty_score":0.0023722649},"labels":[],"label_agreement":null},{"id":"W2118091630","doi":"10.23919/acc.2004.1383930","title":"Adaptive synchronization control of a planar parallel manipulator","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Trajectory; Synchronization (alternating current); Tracking error; Computer science; Parallel manipulator; Controller (irrigation); Adaptive control; Convergence (economics); Parametric statistics; Position (finance); Tracking (education); Serial manipulator; Planar; Robot; Control (management); Mathematics; Artificial intelligence","score_opus":0.007254683808896975,"score_gpt":0.18873954772570034,"score_spread":0.18148486391680335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118091630","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035438225,0.00014701227,0.9606307,0.00008379615,0.00005035358,0.00003354905,0.0000115692355,0.00030771794,0.0032970197],"genre_scores_gemma":[0.892856,0.00024061628,0.10107831,0.000043754924,0.00004660922,0.00012496422,0.000037849943,0.000022775477,0.005549113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985325,0.0000219238,0.000007511409,0.00004426424,0.00005921041,0.000013789269],"domain_scores_gemma":[0.999859,0.000031336065,0.000046532175,0.000011431531,0.000043406606,0.000008320718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025727024,0.00037334117,0.00028257773,0.00019722094,0.0002579732,0.00025809745,0.00052813697,0.00029967347,0.0007998343],"category_scores_gemma":[0.0004928671,0.00015540798,0.00022946164,0.00023249943,0.000411916,0.0002458826,0.00045318762,0.00040274565,0.00015133631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014463888,0.000035521185,0.00046831192,0.0001247987,0.000044166165,0.00022864701,0.0001348328,0.7615883,0.07366053,0.021580042,0.0009079493,0.14108221],"study_design_scores_gemma":[0.00003208676,0.00015311182,0.00022192647,0.000004188681,0.000009020646,0.000047159756,0.000008241559,0.99117273,0.0053477553,0.0014638881,0.0015310051,0.000008870348],"about_ca_topic_score_codex":0.002021785,"about_ca_topic_score_gemma":0.0011925208,"teacher_disagreement_score":0.002021785,"about_ca_system_score_codex":0.00028122292,"about_ca_system_score_gemma":0.0004715889,"threshold_uncertainty_score":0.0040200353},"labels":[],"label_agreement":null},{"id":"W2118897491","doi":"10.1007/s12555-011-0107-5","title":"Adaptive control of harmonic drive with parameter varying friction using structurally dynamic wavelet network","year":2011,"lang":"en","type":"article","venue":"International Journal of Control Automation and Systems","topic":"Iterative Learning 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 theory (sociology); Robustness (evolution); Control reconfiguration; Computer science; Lyapunov function; Controller (irrigation); Adaptive control; Fuzzy logic; Control engineering; Engineering; Nonlinear system; Control (management); Artificial intelligence","score_opus":0.012978292485268644,"score_gpt":0.217900833049565,"score_spread":0.20492254056429637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118897491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09599063,0.00023608218,0.90014654,0.00014066049,0.00007964457,0.00002345106,0.000017301558,0.0000755307,0.0032902602],"genre_scores_gemma":[0.98314846,0.00016077634,0.014936173,0.000020035528,0.00001984256,0.00002991104,0.000017881252,0.000011387281,0.001655595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999132,0.000022093916,0.0000052245355,0.000019492867,0.000024213408,0.000015717394],"domain_scores_gemma":[0.9998246,0.00007984929,0.000027774184,0.0000127366775,0.000044398766,0.00001059438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003504869,0.00036608524,0.00045468178,0.00017489969,0.00019780248,0.00043286168,0.00044097792,0.00045568973,0.00075543084],"category_scores_gemma":[0.0008452732,0.00018115777,0.0002653001,0.00022260052,0.00037596977,0.0003941711,0.00046399608,0.00040953897,0.00009113707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020121867,0.000069771144,0.0005472592,0.00011985949,0.00005456153,0.00009559158,0.000094392344,0.89079845,0.018178381,0.014710255,0.00050296466,0.0746273],"study_design_scores_gemma":[0.000005005836,0.000026832731,0.00008606248,0.0000017101877,0.0000032775392,0.000005625819,0.0000027336907,0.9988186,0.00036796567,0.00057515915,0.00010515052,0.0000018692746],"about_ca_topic_score_codex":0.0014658665,"about_ca_topic_score_gemma":0.001257658,"teacher_disagreement_score":0.0014658665,"about_ca_system_score_codex":0.00020787439,"about_ca_system_score_gemma":0.00024383981,"threshold_uncertainty_score":0.0029146671},"labels":[],"label_agreement":null},{"id":"W2120274407","doi":"10.2514/6.2006-6523","title":"Practical, Model-Free, Completely Robust Learning Control using Reversed Time Input Runs","year":2006,"lang":"en","type":"article","venue":"AIAA/AAS Astrodynamics Specialist Conference and Exhibit","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Control (management); Control theory (sociology); Artificial intelligence","score_opus":0.020971132774480403,"score_gpt":0.22863042700991357,"score_spread":0.20765929423543317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120274407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0144038545,0.000095939555,0.980659,0.0000722003,0.000026811664,0.00003839623,0.000016453569,0.000500162,0.004187136],"genre_scores_gemma":[0.8552296,0.000109373315,0.1396698,0.00005696056,0.00002244797,0.000113429436,0.00006187506,0.00007165144,0.004664761],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952245,0.00012509874,0.000027837057,0.00011067038,0.00016733228,0.000046589947],"domain_scores_gemma":[0.99942243,0.00019027335,0.0001170139,0.0001285953,0.000116700525,0.000024991774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085197145,0.00068241736,0.0006043259,0.00017891175,0.00035906493,0.00077886606,0.0011133093,0.00063440955,0.0016394702],"category_scores_gemma":[0.0017365111,0.0002882902,0.0004364569,0.0001922462,0.00093613786,0.00074456556,0.0007383381,0.0007682827,0.00037361414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023445034,0.00006142183,0.0002888531,0.00011575724,0.000031174986,0.00008762407,0.00009712309,0.89820254,0.017466193,0.02027097,0.0007480435,0.06239591],"study_design_scores_gemma":[0.000032399097,0.00017252604,0.00012769955,0.000010221707,0.000007813688,0.000034716886,0.000006409986,0.9885981,0.0059395777,0.003550352,0.0015034442,0.000016678994],"about_ca_topic_score_codex":0.0042342385,"about_ca_topic_score_gemma":0.0036264465,"teacher_disagreement_score":0.0042342385,"about_ca_system_score_codex":0.00053482386,"about_ca_system_score_gemma":0.00090418267,"threshold_uncertainty_score":0.008419156},"labels":[],"label_agreement":null},{"id":"W2120452442","doi":"10.1109/acc.2007.4282287","title":"A New Predictor-based Repetitive Learning Control Approach for a Class of Remote Control Nonlinear Systems","year":2007,"lang":"en","type":"article","venue":"Proceedings of the ... American Control Conference/Proceedings of the American Control Conference","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Nonlinear system; Tracking error; Trajectory; Convergence (economics); Iterative learning control; Computer science; Lipschitz continuity; Linear matrix inequality; Mathematics; Control (management); Mathematical optimization; Artificial intelligence","score_opus":0.009133112755202516,"score_gpt":0.22117233929903046,"score_spread":0.21203922654382795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120452442","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00538298,0.0002928722,0.9918854,0.00006898899,0.000042079086,0.000027227907,0.000009082518,0.00019737979,0.002093915],"genre_scores_gemma":[0.79250157,0.0010106498,0.19568221,0.00023512321,0.00023250545,0.0003169774,0.0001301783,0.00005718624,0.009833607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995989,0.000065562905,0.000021954122,0.00011113342,0.00016789499,0.000034597826],"domain_scores_gemma":[0.9996501,0.000108466586,0.000060124432,0.000046531768,0.00011670774,0.00001806458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061896467,0.0005949484,0.00069188204,0.00030135267,0.0003547567,0.00055946666,0.0012613271,0.0008380265,0.0018184996],"category_scores_gemma":[0.0007913769,0.0002148777,0.00045724708,0.0003227499,0.000614563,0.000613476,0.0007050638,0.00106809,0.0003634388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011835333,0.00016682729,0.0010046649,0.00047576986,0.000082650105,0.000487304,0.0003230906,0.62374383,0.03708025,0.05513548,0.0023389554,0.2790428],"study_design_scores_gemma":[0.000012005351,0.00012399851,0.00012496175,0.000010866026,0.000009727293,0.00006977878,0.00000934123,0.9921538,0.00217696,0.0032202313,0.0020783623,0.000009935299],"about_ca_topic_score_codex":0.0018664659,"about_ca_topic_score_gemma":0.0014651832,"teacher_disagreement_score":0.0018664659,"about_ca_system_score_codex":0.00033799137,"about_ca_system_score_gemma":0.00079920737,"threshold_uncertainty_score":0.0060834885},"labels":[],"label_agreement":null},{"id":"W2121282743","doi":"10.1109/cca.1993.348280","title":"Adaptive basis weight control in paper machines","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Basis (linear algebra); Computer science; Process (computing); Controller (irrigation); Adaptive control; Artificial intelligence; Weight control; Noise (video); Control theory (sociology); Machine learning; Control engineering; Control (management); Mathematics; Engineering","score_opus":0.0064526172853383605,"score_gpt":0.17362967325661718,"score_spread":0.16717705597127883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121282743","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016067488,0.00041218428,0.97995687,0.000115956405,0.00006043398,0.000017928134,0.000025228503,0.00027633764,0.0030675735],"genre_scores_gemma":[0.900854,0.0006732637,0.08762124,0.00007880289,0.000067136425,0.0001104482,0.000083785155,0.0000670131,0.010444344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997701,0.000051134204,0.000008797191,0.000051726107,0.00009480881,0.000023508308],"domain_scores_gemma":[0.9997838,0.00007329719,0.00003983135,0.000026256355,0.00006491455,0.000011939619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034329607,0.0003368237,0.0005099973,0.00025755764,0.00023878882,0.0007042519,0.00063638494,0.00058917626,0.0012107672],"category_scores_gemma":[0.0010426423,0.00020238903,0.00029685008,0.00043799297,0.00054317084,0.0007310643,0.00040854677,0.00067002606,0.00034032873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000592589,0.00003557265,0.00028178943,0.00006930142,0.000019446623,0.000065742606,0.00006738957,0.86816436,0.010876946,0.0302492,0.0010254054,0.089085534],"study_design_scores_gemma":[0.0000051369534,0.000025712854,0.00011094492,0.0000028307768,0.0000019826603,0.000011173517,0.0000030803901,0.99325764,0.00087055634,0.0045580324,0.0011477172,0.000005096501],"about_ca_topic_score_codex":0.0037722816,"about_ca_topic_score_gemma":0.002555837,"teacher_disagreement_score":0.0037722816,"about_ca_system_score_codex":0.00041749104,"about_ca_system_score_gemma":0.00038357853,"threshold_uncertainty_score":0.0075006485},"labels":[],"label_agreement":null},{"id":"W2122474303","doi":"10.1109/icinfa.2011.5948956","title":"Contour tracking control in position domain for CNC machines","year":2011,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Tracking (education); Control theory (sociology); Controller (irrigation); Computer science; Domain (mathematical analysis); Contouring; Tracking error; Artificial intelligence; Numerical control; Computer vision; Time domain; Machining; Trajectory; Control engineering; Engineering; Control (management); Mathematics; Mechanical engineering","score_opus":0.01255359816889218,"score_gpt":0.21420091002176975,"score_spread":0.20164731185287757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122474303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022628991,0.000258424,0.9724946,0.000078997735,0.000060684895,0.00003824262,0.000009674709,0.00021293557,0.004217492],"genre_scores_gemma":[0.87845904,0.0003452951,0.1170676,0.00008446574,0.000038214028,0.00008914344,0.000034383233,0.000024163633,0.0038577253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997681,0.00002900055,0.000010423335,0.00004723416,0.00013460458,0.000010816704],"domain_scores_gemma":[0.9996437,0.00010615748,0.00006799906,0.000034264507,0.00013853009,0.000009384877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039905403,0.00024153154,0.0001915476,0.00018388116,0.00022910377,0.00046384658,0.0003606504,0.0003938186,0.0008472726],"category_scores_gemma":[0.0008760343,0.0000841832,0.00015948815,0.00029326126,0.00048663194,0.00031608442,0.0002300279,0.0004908113,0.00015520702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024166955,0.00009684004,0.0007157503,0.00028132554,0.000019343106,0.00022484978,0.000336045,0.5001456,0.17261869,0.038877912,0.0017003666,0.28474155],"study_design_scores_gemma":[0.000014985122,0.00013331686,0.00044589594,0.000013440777,0.00000452864,0.00006793553,0.000009360286,0.9759143,0.017198257,0.002662018,0.0035246692,0.000011269619],"about_ca_topic_score_codex":0.00316353,"about_ca_topic_score_gemma":0.001847251,"teacher_disagreement_score":0.00316353,"about_ca_system_score_codex":0.00043940017,"about_ca_system_score_gemma":0.00046905788,"threshold_uncertainty_score":0.0062901974},"labels":[],"label_agreement":null},{"id":"W2125924861","doi":"10.5539/mas.v3n11p17","title":"A New Repetitive Control Strategy in a Liquid Level System","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Loop (graph theory); Robustness (evolution); Control system; Computer science; Repetitive control; Mode (computer interface); Mathematics; Control (management); Engineering; Artificial intelligence; Chemistry","score_opus":0.012356039602433295,"score_gpt":0.21843205382085643,"score_spread":0.20607601421842314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125924861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07812803,0.0001678116,0.91365945,0.00011498653,0.000053688007,0.000074959426,0.000018538072,0.0009690148,0.006813529],"genre_scores_gemma":[0.91638297,0.00008131223,0.07978377,0.00008133767,0.00002348394,0.00007490177,0.000036136425,0.000024039908,0.0035119816],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971646,0.000045549055,0.000021224054,0.00006940858,0.00012335338,0.000024043537],"domain_scores_gemma":[0.9998167,0.0000333486,0.000037351223,0.000031015254,0.00006544549,0.000016226186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028264726,0.00028841582,0.00035841562,0.00026501543,0.00026777573,0.0004719106,0.00089465315,0.00040943647,0.00140801],"category_scores_gemma":[0.0004241079,0.00012067507,0.0003192535,0.00019494153,0.00033435604,0.00048288077,0.0004446352,0.00030025028,0.00025633664],"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":[0.0003758727,0.00024811944,0.001948635,0.00052426546,0.00010413469,0.0006924764,0.0005464568,0.27749577,0.345252,0.025432447,0.0017821785,0.34559774],"study_design_scores_gemma":[0.0000495373,0.0006594446,0.0005035664,0.00001322176,0.000026504329,0.00015470937,0.000026570131,0.972305,0.021253046,0.0019440951,0.0030395193,0.000024782483],"about_ca_topic_score_codex":0.0018930114,"about_ca_topic_score_gemma":0.0015575761,"teacher_disagreement_score":0.0018930114,"about_ca_system_score_codex":0.0002549454,"about_ca_system_score_gemma":0.00036625296,"threshold_uncertainty_score":0.004710257},"labels":[],"label_agreement":null},{"id":"W2127991665","doi":"10.1109/robot.1997.619315","title":"Robustness and performance trade-offs in torque control of robots with harmonic drive transmission","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Robot; Control theory (sociology); Torque; Harmonic drive; Control engineering; Automation; Modular design; Robotics; Robust control; Computer science; Engineering; Control system; Control (management); Artificial intelligence","score_opus":0.0067508758275075355,"score_gpt":0.17258854297421222,"score_spread":0.1658376671467047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127991665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45156735,0.0007275341,0.5396093,0.00024826685,0.000024610341,0.00003992071,0.000036439636,0.00055827084,0.007188394],"genre_scores_gemma":[0.99676704,0.000039867344,0.0030046809,0.000007730952,0.0000054951206,0.000008755356,0.000008132918,0.000012217924,0.00014614778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993824,0.00019023468,0.000044870325,0.00009458424,0.000189255,0.000098528726],"domain_scores_gemma":[0.9968027,0.00224241,0.00045183356,0.00024594655,0.000207044,0.000050165894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014203198,0.00046758092,0.00036785685,0.0003129349,0.0002596873,0.0007660091,0.00038272713,0.0004690156,0.0005972457],"category_scores_gemma":[0.0053467266,0.0002575375,0.0002896139,0.00017152623,0.00083627156,0.0007076356,0.00055544765,0.0003548187,0.00012099262],"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":[0.000712503,0.00008564427,0.0016160613,0.00029864293,0.00007905239,0.00016943309,0.0002868577,0.87354296,0.051875558,0.011157503,0.0002737409,0.059901975],"study_design_scores_gemma":[0.000030425363,0.00069045,0.001769661,0.00001781669,0.000024442337,0.00009825456,0.000051270414,0.97305673,0.018877352,0.0049946797,0.00036860167,0.000020367605],"about_ca_topic_score_codex":0.0006749218,"about_ca_topic_score_gemma":0.0004306556,"teacher_disagreement_score":0.0014203198,"about_ca_system_score_codex":0.00030457322,"about_ca_system_score_gemma":0.0001699693,"threshold_uncertainty_score":0.007511437},"labels":[],"label_agreement":null},{"id":"W2129515350","doi":"10.1016/j.mechatronics.2013.08.005","title":"Position domain contour control for multi-DOF robotic system","year":2013,"lang":"en","type":"article","venue":"Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Domain (mathematical analysis); Control theory (sociology); Nonlinear system; Computer science; Tracking (education); Artificial intelligence; Motion control; Time domain; Lyapunov function; Control system; Computer vision; Control (management); Robot; Engineering; Mathematics","score_opus":0.008149379506907297,"score_gpt":0.20771681709755896,"score_spread":0.19956743759065165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129515350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03209155,0.00015915881,0.96473885,0.00006427121,0.000039644932,0.000017129569,0.000012334176,0.00014446783,0.0027325843],"genre_scores_gemma":[0.9450756,0.00012348602,0.05161918,0.0000298993,0.000016279952,0.000043457276,0.000022997243,0.000022736775,0.003046429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999131,0.000014539499,0.0000039854567,0.00002320148,0.00003640371,0.000008845327],"domain_scores_gemma":[0.99984527,0.000044394263,0.000029580573,0.000023223105,0.00004806101,0.000009488392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027065095,0.00029773128,0.00024870437,0.00018339053,0.00026299775,0.00036191923,0.00049885723,0.00041011893,0.0014522411],"category_scores_gemma":[0.0004955657,0.00014939785,0.00019610635,0.00022426792,0.0003709946,0.00046291167,0.0005512481,0.00036366493,0.00017857124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029274428,0.00007178418,0.00049550785,0.00016129581,0.000021749265,0.00013928166,0.00023053036,0.69651705,0.068565436,0.025356311,0.0014414073,0.20670684],"study_design_scores_gemma":[0.000009506205,0.00006341645,0.00015451129,0.0000045892743,0.0000025791858,0.000016842672,0.0000048191964,0.99416107,0.003038169,0.0018971413,0.0006428446,0.0000045850657],"about_ca_topic_score_codex":0.0018579218,"about_ca_topic_score_gemma":0.001359516,"teacher_disagreement_score":0.0018579218,"about_ca_system_score_codex":0.00023891247,"about_ca_system_score_gemma":0.00027066955,"threshold_uncertainty_score":0.004858196},"labels":[],"label_agreement":null},{"id":"W2130891582","doi":"10.1109/08ias.2008.163","title":"A Novel Neuro-Wavelet Based Self-Tuned Wavelet Controller for IPM Motor Drives","year":2008,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Computer science; PID controller; Wavelet; Open-loop controller; Tracking error; Control engineering; Lyapunov stability; Lyapunov function; Artificial intelligence; Engineering; Temperature control; Closed loop; Control (management)","score_opus":0.012770230176041368,"score_gpt":0.19731406067844812,"score_spread":0.18454383050240675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130891582","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021200113,0.00022921419,0.97625774,0.000046882913,0.00007096041,0.000029550922,0.000015973303,0.00034246617,0.0018070793],"genre_scores_gemma":[0.7413215,0.00029981314,0.25415105,0.000105266685,0.00006458192,0.00012889993,0.00007528124,0.000046202178,0.0038074383],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998466,0.00001947113,0.000013412069,0.00003276893,0.00007609542,0.000011650407],"domain_scores_gemma":[0.9998832,0.000021954545,0.000018472318,0.000016572225,0.00005147526,0.00000835371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029095617,0.00030367987,0.00030799548,0.00020375542,0.0001626269,0.00036932353,0.0007539881,0.00035733104,0.00074490544],"category_scores_gemma":[0.00044605145,0.00013539988,0.00022296821,0.00016992167,0.00019866097,0.00036209112,0.000307871,0.00041767175,0.00024757467],"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":[0.00024318877,0.00017346966,0.0011815616,0.00033126387,0.00011986443,0.00027151022,0.00013867345,0.2409263,0.14831914,0.009610372,0.0024433776,0.59624124],"study_design_scores_gemma":[0.00002705651,0.00016565177,0.00047049663,0.000008598019,0.000018737996,0.00009963046,0.000006543874,0.9843998,0.010979693,0.00057976984,0.0032343024,0.000009751599],"about_ca_topic_score_codex":0.00052418496,"about_ca_topic_score_gemma":0.0006072576,"teacher_disagreement_score":0.0007539881,"about_ca_system_score_codex":0.0001907806,"about_ca_system_score_gemma":0.00022192259,"threshold_uncertainty_score":0.002491951},"labels":[],"label_agreement":null},{"id":"W2133223539","doi":"10.1109/aim.2003.1225502","title":"Adaptive velocity estimation for disk drive head positioning","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; School of Mathematics, Institute for Research in Fundamental Sciences","keywords":"Computer science; Kalman filter; Noise (video); Outlier; Focus (optics); Position (finance); Control theory (sociology); Actuator; Servo; Trajectory; Computer vision; Artificial intelligence; Physics; Control (management)","score_opus":0.009851239296018525,"score_gpt":0.2365196335946734,"score_spread":0.22666839429865487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133223539","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045277916,0.00049474405,0.9532365,0.000060882856,0.000039358893,0.000016571876,0.000013215526,0.00030521574,0.0005556778],"genre_scores_gemma":[0.86122924,0.0004894334,0.13612589,0.000029499428,0.00004715358,0.00004065024,0.00004699233,0.000027824753,0.001963291],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998031,0.000043160893,0.000009823232,0.000040463932,0.00008878907,0.000014644671],"domain_scores_gemma":[0.9995109,0.0002389935,0.00006475964,0.000036050566,0.00013930254,0.000010007253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028539874,0.0002443826,0.00020675438,0.0003143756,0.00012102285,0.0002642071,0.00032851912,0.0003145102,0.00051987666],"category_scores_gemma":[0.002043321,0.00013691866,0.00013871348,0.00031128732,0.00019976054,0.0004863676,0.00024256772,0.00030017045,0.0001701063],"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":[0.00030395263,0.000060750597,0.0022294251,0.00013590493,0.000043291588,0.00008660947,0.000121434525,0.3429557,0.10815242,0.005984227,0.0008251895,0.53910106],"study_design_scores_gemma":[0.000010370141,0.00009529995,0.0009763379,0.000005003552,0.000007150107,0.000035083976,0.000010058144,0.98215187,0.014743647,0.0009916888,0.0009613235,0.000012149654],"about_ca_topic_score_codex":0.00236259,"about_ca_topic_score_gemma":0.0013642047,"teacher_disagreement_score":0.00236259,"about_ca_system_score_codex":0.00019998086,"about_ca_system_score_gemma":0.0002883985,"threshold_uncertainty_score":0.00469774},"labels":[],"label_agreement":null},{"id":"W2133897132","doi":"10.1109/isic.2004.1387664","title":"A robust PD-type evolutionary learning control for nonlinear time-varying systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Initialization; Control theory (sociology); Feed forward; Iterative learning control; Nonlinear system; Sliding mode control; Tracking error; Computer science; Scheme (mathematics); Robust control; Robustness (evolution); Control (management); Mathematics; Control engineering; Artificial intelligence; Engineering","score_opus":0.011408039625240018,"score_gpt":0.20866370746524096,"score_spread":0.19725566784000095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133897132","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008544666,0.00020190042,0.98915905,0.00007536255,0.000041234118,0.000031428794,0.000008310505,0.00012828813,0.0018098324],"genre_scores_gemma":[0.8346434,0.00039259225,0.16006464,0.00013551835,0.000056244313,0.0002007063,0.000053617077,0.000026980577,0.0044263317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996536,0.00007086069,0.00002078048,0.00009461793,0.00012863781,0.000031667383],"domain_scores_gemma":[0.9996995,0.00008919068,0.000058489608,0.000027385986,0.000107431624,0.000018131905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007456981,0.00058309006,0.00051137997,0.00030019018,0.00031562673,0.0006387179,0.0011441916,0.0008314672,0.00090616854],"category_scores_gemma":[0.0013124157,0.00020054242,0.0003775103,0.00034362383,0.0006035325,0.0005239177,0.000727507,0.0007302587,0.0001613743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009228025,0.000081469974,0.00049700186,0.00017574555,0.00006825995,0.00021659437,0.00011554311,0.7732264,0.020949218,0.028149918,0.0012753878,0.17515212],"study_design_scores_gemma":[0.0000120536115,0.0000566449,0.000077743076,0.000004275804,0.0000045427278,0.00003430802,0.0000023390694,0.9965546,0.0014316901,0.0010992475,0.0007160734,0.0000064064743],"about_ca_topic_score_codex":0.001595698,"about_ca_topic_score_gemma":0.0008260093,"teacher_disagreement_score":0.001595698,"about_ca_system_score_codex":0.0003732695,"about_ca_system_score_gemma":0.0004455018,"threshold_uncertainty_score":0.0039436817},"labels":[],"label_agreement":null},{"id":"W2135896067","doi":"10.1109/tie.2011.2158042","title":"Tracking Control of Flexible Ball Screw Drives With Runout Effect and Mass Variation","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ball screw; Control theory (sociology); Ball (mathematics); Machine tool; Machining; Tracking error; Servomotor; Servomechanism; Kinematics; Flexibility (engineering); Engineering; Servo; Position (finance); Control engineering; Mechanical engineering; Computer science; Mathematics; Artificial intelligence; Physics; Control (management)","score_opus":0.014788604378606442,"score_gpt":0.2021618765612613,"score_spread":0.18737327218265487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135896067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2814941,0.00052619795,0.71409845,0.0001439786,0.00004886027,0.00005511392,0.000038079357,0.0006057524,0.0029895059],"genre_scores_gemma":[0.9954204,0.00004889507,0.0039551225,0.0000069840894,0.0000040575724,0.000011477836,0.000009002005,0.000007970278,0.00053614436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995727,0.000069562004,0.000024632078,0.000098117234,0.00018700937,0.000048031234],"domain_scores_gemma":[0.99943835,0.00021064848,0.00018188915,0.000043755506,0.00010025435,0.000025132376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005677455,0.00054091774,0.00053849455,0.00022023627,0.000320708,0.0007844686,0.0006447512,0.0003794446,0.0003871259],"category_scores_gemma":[0.0013371093,0.000293749,0.00027594788,0.00025667512,0.0006492485,0.00037684888,0.00046568605,0.00036663515,0.000092062866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069090544,0.0000838117,0.001405845,0.000238321,0.00007771278,0.00032302615,0.00042693465,0.8296098,0.077383496,0.004900688,0.0004595269,0.08440002],"study_design_scores_gemma":[0.000039492006,0.00027369312,0.0009507164,0.0000070750725,0.000011653526,0.00004549461,0.00001650891,0.989232,0.007828693,0.0010815512,0.00049934216,0.000013797999],"about_ca_topic_score_codex":0.004865787,"about_ca_topic_score_gemma":0.0033250232,"teacher_disagreement_score":0.004865787,"about_ca_system_score_codex":0.00039129204,"about_ca_system_score_gemma":0.00040008174,"threshold_uncertainty_score":0.009674966},"labels":[],"label_agreement":null},{"id":"W2136245129","doi":"10.1109/tsp.2003.811242","title":"Identification of periodic signals with uncertain frequency","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Ellipse; Controller (irrigation); SIGNAL (programming language); Estimator; Mathematics; Periodic function; Computer science; Internal model; Automatic frequency control; Algorithm; Artificial intelligence; Statistics; Control (management); Mathematical analysis","score_opus":0.011819594480646865,"score_gpt":0.23125980286800124,"score_spread":0.21944020838735437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136245129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0105051445,0.00006019838,0.9888889,0.000018673842,0.000015507152,0.000010236588,0.000007636771,0.00011982272,0.0003738553],"genre_scores_gemma":[0.34117568,0.00022773296,0.65610003,0.0000452288,0.0000644009,0.00007109214,0.000114786424,0.000079942634,0.002121115],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995043,0.000052219235,0.000029961482,0.00010942954,0.00027069298,0.00003341065],"domain_scores_gemma":[0.9989895,0.00043813302,0.00018863815,0.00013814191,0.00022358584,0.000022025142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057856855,0.000448165,0.00062632636,0.00076380384,0.00033542752,0.0004891768,0.0006914275,0.0006247334,0.0007749231],"category_scores_gemma":[0.0027966523,0.00030989057,0.00035700417,0.00042166837,0.00041496634,0.0007464891,0.00052750256,0.00061368564,0.00034289685],"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":[0.00023064771,0.000045469278,0.002405241,0.00016887135,0.00006091074,0.00042797165,0.0002822156,0.22516248,0.04902664,0.019020423,0.0011191416,0.70205],"study_design_scores_gemma":[0.0000118466405,0.000070482456,0.0010901239,0.000017941386,0.000012976763,0.00031741543,0.000032837706,0.9772186,0.012186253,0.005883545,0.003137774,0.00002020304],"about_ca_topic_score_codex":0.0006728737,"about_ca_topic_score_gemma":0.0006878374,"teacher_disagreement_score":0.0007749231,"about_ca_system_score_codex":0.00020936501,"about_ca_system_score_gemma":0.0003427488,"threshold_uncertainty_score":0.0030598044},"labels":[],"label_agreement":null},{"id":"W2142034033","doi":"10.1109/robot.1998.677436","title":"Adaptive learning control of robotic systems with model uncertainties","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Iterative learning control; Scheme (mathematics); Computer science; Robot; Convergence (economics); Adaptive control; Transient (computer programming); Mode (computer interface); Control engineering; Control (management); Control system; Control theory (sociology); Artificial intelligence; Engineering; Mathematics","score_opus":0.012972669753729946,"score_gpt":0.17343129758435208,"score_spread":0.16045862783062215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142034033","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026108839,0.0006435594,0.96773905,0.00021161603,0.00008704041,0.000034219378,0.000026660906,0.0004335442,0.0047153975],"genre_scores_gemma":[0.9693173,0.00035886993,0.02682142,0.00007232042,0.000071339215,0.000115884795,0.000045392695,0.000019426132,0.003178017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996488,0.00007778162,0.000019272562,0.000067321955,0.00013332366,0.000053468055],"domain_scores_gemma":[0.9995608,0.00018458253,0.00010687618,0.000031350628,0.000096376476,0.000020038968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049251935,0.00059835246,0.00061267783,0.00022139528,0.0004034244,0.0006315542,0.0008950381,0.00066073204,0.0008162242],"category_scores_gemma":[0.001443307,0.00023899725,0.00033382478,0.00033222654,0.0007525044,0.0005638454,0.0009626467,0.00086661655,0.00018222339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005167623,0.000028179764,0.00017794047,0.00007775163,0.000024702007,0.00009539084,0.00008146934,0.9336055,0.0043217153,0.013040764,0.00060039567,0.04789444],"study_design_scores_gemma":[0.000010311249,0.000033012802,0.00007237901,0.0000037955908,0.0000030308308,0.00001462656,0.000004032401,0.995316,0.0005373237,0.0034336168,0.0005673841,0.0000044682915],"about_ca_topic_score_codex":0.0051525473,"about_ca_topic_score_gemma":0.0031867144,"teacher_disagreement_score":0.0051525473,"about_ca_system_score_codex":0.0005141461,"about_ca_system_score_gemma":0.0006582456,"threshold_uncertainty_score":0.010245144},"labels":[],"label_agreement":null},{"id":"W2142135702","doi":"10.1109/icinfa.2011.5948955","title":"Position domain PD control: Stability and comparison","year":2011,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Control theory (sociology); Domain (mathematical analysis); Motion control; Motion (physics); Computer science; Tracking (education); Time domain; Stability (learning theory); Frequency domain; Artificial intelligence; Mathematics; Computer vision; Control (management); Robot; Mathematical analysis","score_opus":0.015933649197647996,"score_gpt":0.20738715213699355,"score_spread":0.19145350293934554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142135702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08083215,0.0018094874,0.8992026,0.00020356695,0.00013462926,0.000113493275,0.00003909596,0.00036444087,0.017300475],"genre_scores_gemma":[0.9707756,0.0005415247,0.025969958,0.000048513477,0.000025775073,0.000067631976,0.000051728584,0.000021941396,0.0024972481],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956375,0.000090915186,0.000027825177,0.00007327036,0.0002183993,0.00002579064],"domain_scores_gemma":[0.99930894,0.00026140187,0.00005617666,0.000059846698,0.00029621954,0.000017289847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093065517,0.00040131478,0.00044160555,0.0005389351,0.00028098948,0.00070105214,0.0005011074,0.0005880495,0.001797343],"category_scores_gemma":[0.0019531054,0.00010877207,0.00026542787,0.0003104903,0.00036088872,0.0006117903,0.0006086062,0.00039265217,0.00017213375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001027832,0.00019181849,0.0018934079,0.00056908675,0.00013193565,0.00021629965,0.00025613155,0.5931701,0.025355525,0.036569204,0.0014867384,0.33913198],"study_design_scores_gemma":[0.000026335496,0.00020786525,0.00052343257,0.0000096686,0.000013857649,0.000050419138,0.000016059159,0.99232304,0.0042499932,0.0015233781,0.0010443163,0.000011580653],"about_ca_topic_score_codex":0.002060398,"about_ca_topic_score_gemma":0.000800275,"teacher_disagreement_score":0.002060398,"about_ca_system_score_codex":0.000482607,"about_ca_system_score_gemma":0.0003879812,"threshold_uncertainty_score":0.0060127378},"labels":[],"label_agreement":null},{"id":"W2142628605","doi":"10.1109/ccece.2006.277464","title":"Nonlinear System Identification using Genetic Algorithm Based Recurrent Neural Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Nonlinear system; Artificial neural network; Computer science; Algorithm; Genetic algorithm; Identification (biology); Nonlinear system identification; Backpropagation; Actuator; Recurrent neural network; System identification; Artificial intelligence; Machine learning; Data modeling","score_opus":0.007732041729278498,"score_gpt":0.21064938250130394,"score_spread":0.20291734077202545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142628605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023005554,0.00021205576,0.9748889,0.000065896485,0.000021294267,0.000022890099,0.000011508416,0.00042098103,0.0013509397],"genre_scores_gemma":[0.57882565,0.00034320308,0.4172622,0.0000770447,0.000027452485,0.00016760202,0.000096587515,0.00009609807,0.0031040858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997614,0.00007836753,0.00001197171,0.000048495,0.000078588986,0.000021330728],"domain_scores_gemma":[0.999703,0.00014719702,0.00005189081,0.000026976084,0.00006358729,0.0000073389497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000588052,0.0005777458,0.0006096381,0.00042888292,0.0002259892,0.00043129342,0.0007310344,0.0007030877,0.0006391296],"category_scores_gemma":[0.0015307553,0.00029062293,0.00042958115,0.00035008046,0.0003979943,0.00066197687,0.00032704038,0.00052986416,0.0002042826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002498933,0.00002689645,0.00038190343,0.000033620116,0.000045193206,0.00004709651,0.000048178208,0.9328215,0.0042662853,0.005535297,0.00023338321,0.056535624],"study_design_scores_gemma":[0.000003729057,0.000010586586,0.00003696033,0.0000016560504,0.000003658692,0.000009372659,0.0000021172684,0.9986279,0.0005120642,0.00061952,0.00016994034,0.0000025261895],"about_ca_topic_score_codex":0.003428001,"about_ca_topic_score_gemma":0.0034077843,"teacher_disagreement_score":0.003428001,"about_ca_system_score_codex":0.00047557816,"about_ca_system_score_gemma":0.00046389963,"threshold_uncertainty_score":0.006816089},"labels":[],"label_agreement":null},{"id":"W2143415934","doi":"10.1109/tcst.2004.839580","title":"Control of hybrid Machines with 2-DOF for trajectory tracking problems","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Control theory (sociology); Servomotor; Flywheel; Control engineering; Servomechanism; Controller (irrigation); Flexibility (engineering); Hybrid system; Computer science; Servo drive; Trajectory; Engineering; Control (management); Automotive engineering; Artificial intelligence; Mathematics","score_opus":0.00635151296636771,"score_gpt":0.20196739637228475,"score_spread":0.19561588340591704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143415934","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02084357,0.0008284072,0.9738991,0.00014223694,0.000066404886,0.000033292796,0.00003908626,0.00017830779,0.003969504],"genre_scores_gemma":[0.92957115,0.0006464432,0.060586575,0.00007797715,0.000112603026,0.00032201366,0.00008357371,0.00003231679,0.008567367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979025,0.00008990523,0.00001086477,0.000040597966,0.00004060172,0.000027728875],"domain_scores_gemma":[0.9995022,0.00032037363,0.00006656677,0.000021530797,0.00006852588,0.000020769468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009257619,0.00087212946,0.0007327079,0.00037067235,0.00036497434,0.0008400709,0.00053341006,0.00090896414,0.0025116187],"category_scores_gemma":[0.0014131705,0.0002854186,0.00044733845,0.0004937671,0.00079455733,0.0005571037,0.00077565556,0.0006349428,0.00029773015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012361901,0.000027004186,0.00036316956,0.00021581037,0.00004063733,0.00010426368,0.00012655817,0.93295383,0.003408194,0.02879042,0.0010645224,0.032781996],"study_design_scores_gemma":[0.00001902382,0.00005100174,0.00009237742,0.000006884099,0.000003400857,0.000013040511,0.000008242285,0.99443567,0.00020474195,0.0044222893,0.0007379967,0.0000053486056],"about_ca_topic_score_codex":0.0026539278,"about_ca_topic_score_gemma":0.0021711094,"teacher_disagreement_score":0.0026539278,"about_ca_system_score_codex":0.00043837202,"about_ca_system_score_gemma":0.00039597964,"threshold_uncertainty_score":0.008402228},"labels":[],"label_agreement":null},{"id":"W2143754705","doi":"10.1109/icma.2005.1626540","title":"Adaptive regulation of the flying height for a 2-DOF tripad slider in hard disk drives","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Slider; Parameterized complexity; Control theory (sociology); Controller (irrigation); Flying height; Computer science; Set (abstract data type); Adaptive control; Hard disk drive performance characteristics; Function (biology); Stability (learning theory); Vibration; Engineering; Control (management); Physics; Algorithm; Artificial intelligence","score_opus":0.0083842247590641,"score_gpt":0.19278311949523944,"score_spread":0.18439889473617532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143754705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39891598,0.0002466701,0.59637356,0.00010239343,0.000042498883,0.00005568479,0.00003125484,0.00040958606,0.003822316],"genre_scores_gemma":[0.9917345,0.00004956929,0.007666332,0.000009841109,0.0000063377693,0.000015688971,0.0000075185603,0.0000043290615,0.000505914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999366,0.000011291751,0.000003358789,0.000017058344,0.000022940398,0.000008898041],"domain_scores_gemma":[0.9998853,0.000048812137,0.000025696812,0.000011351981,0.000021286509,0.000007371147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013113042,0.0002081461,0.00015660336,0.000108240754,0.0001930062,0.00025207712,0.0003017851,0.00020429818,0.0004602017],"category_scores_gemma":[0.00045022927,0.000100432415,0.00012312765,0.00006692604,0.00027237553,0.00016349868,0.00022292676,0.00018251987,0.00008895012],"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":[0.00023694249,0.00006863505,0.0022557813,0.00015208426,0.000038504884,0.00028808604,0.0003701455,0.6091653,0.26798064,0.0044390555,0.0006790177,0.11432588],"study_design_scores_gemma":[0.000015244359,0.0001699309,0.0011494346,0.000004350177,0.000007777433,0.000048368915,0.000024184079,0.9865021,0.011021789,0.00045215926,0.0005923377,0.000012340738],"about_ca_topic_score_codex":0.0017959935,"about_ca_topic_score_gemma":0.0017870085,"teacher_disagreement_score":0.0017959935,"about_ca_system_score_codex":0.00017285334,"about_ca_system_score_gemma":0.00014614142,"threshold_uncertainty_score":0.003571093},"labels":[],"label_agreement":null},{"id":"W2143849990","doi":"10.1017/s0263574799002155","title":"Neuroadaptive control of elastic-joint robots using robust performance enhancement","year":2001,"lang":"en","type":"article","venue":"Robotica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial neural network; Control theory (sociology); Computer science; Robot; Bidirectional associative memory; Content-addressable memory; Lyapunov function; Lyapunov stability; Adaptive control; Joint (building); Control engineering; Stability (learning theory); Robust control; Artificial intelligence; Control (management); Control system; Engineering; Nonlinear system; Machine learning","score_opus":0.024505683046340307,"score_gpt":0.20814088652727916,"score_spread":0.18363520348093887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143849990","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031426806,0.00026770396,0.96345425,0.000111225134,0.000036341324,0.000028765386,0.0000077381865,0.0004979877,0.004169213],"genre_scores_gemma":[0.9179599,0.00016895251,0.07863215,0.000059935344,0.000033616132,0.0000863274,0.00001825599,0.000021560496,0.0030192826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987113,0.000023121036,0.000008470072,0.000026676436,0.00005246486,0.000018122293],"domain_scores_gemma":[0.9997242,0.00007662299,0.00008005461,0.000035313307,0.00006965713,0.000014176883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004177048,0.0004356752,0.00028916667,0.00019858086,0.00022925565,0.0002972463,0.0007415582,0.00038728316,0.0008319074],"category_scores_gemma":[0.000702565,0.00016508198,0.00023528068,0.00016645617,0.00050738454,0.0003400839,0.000713005,0.00043531778,0.00024424234],"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":[0.00010151684,0.00006465166,0.000336512,0.00008546806,0.00003126338,0.00012205604,0.00010920569,0.7821241,0.048015147,0.01334016,0.0009094124,0.1547605],"study_design_scores_gemma":[0.0000071336635,0.00008075722,0.0001247778,0.0000038519943,0.000004199808,0.000024230332,0.0000045414045,0.99431664,0.0034255176,0.0013173075,0.0006841842,0.000006930186],"about_ca_topic_score_codex":0.0015682277,"about_ca_topic_score_gemma":0.0016400198,"teacher_disagreement_score":0.0015682277,"about_ca_system_score_codex":0.00022345898,"about_ca_system_score_gemma":0.00026163546,"threshold_uncertainty_score":0.0031181574},"labels":[],"label_agreement":null},{"id":"W2144229763","doi":"10.1109/robot.1992.219946","title":"Experiments on robust control of robot manipulators","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot manipulator; Robust control; Computer science; Control theory (sociology); Robot; Scheme (mathematics); Torque; Control engineering; Control (management); Artificial intelligence; Control system; Engineering; Mathematics","score_opus":0.017799005043943945,"score_gpt":0.21582044240173615,"score_spread":0.1980214373577922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144229763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73931414,0.00058723113,0.24852024,0.00023813944,0.00013485234,0.00053550873,0.00025849915,0.0031013137,0.007310123],"genre_scores_gemma":[0.9499468,0.00013051531,0.048063498,0.000022805265,0.000009689464,0.00022029322,0.00010264018,0.00005004831,0.0014536519],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901474,0.00023803912,0.00008186022,0.00014371081,0.00041664208,0.00010512955],"domain_scores_gemma":[0.997389,0.0013464898,0.00030993178,0.00039390146,0.0004274873,0.00013326302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015878712,0.00086260325,0.0006773211,0.0005138262,0.00047065146,0.0004952906,0.0011745061,0.0010185213,0.0038959605],"category_scores_gemma":[0.004233384,0.00039067166,0.00039858642,0.00036888965,0.0008128684,0.0005699193,0.0007259757,0.0006516886,0.0003938186],"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":[0.001894531,0.000742874,0.0007617254,0.0013054917,0.0001357321,0.0008069799,0.00060331734,0.6827807,0.24476512,0.0082586445,0.00088823505,0.057056665],"study_design_scores_gemma":[0.0009355139,0.009148957,0.0023748102,0.00009912127,0.00008035764,0.00024963848,0.00013294222,0.77374625,0.20570049,0.0028232487,0.0046119224,0.00009667981],"about_ca_topic_score_codex":0.0011979047,"about_ca_topic_score_gemma":0.0007690474,"teacher_disagreement_score":0.0038959605,"about_ca_system_score_codex":0.00035818727,"about_ca_system_score_gemma":0.00036858278,"threshold_uncertainty_score":0.01303333},"labels":[],"label_agreement":null},{"id":"W2144959739","doi":"10.1002/rnc.1181","title":"Predictor‐based repetitive learning control for a class of remote control nonlinear systems","year":2007,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Lyapunov function; Nonlinear system; Tracking error; Trajectory; Computer science; Convergence (economics); Lipschitz continuity; Lyapunov stability; Mathematics; Control (management); Artificial intelligence","score_opus":0.008554838933978863,"score_gpt":0.2395872694428095,"score_spread":0.23103243050883063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144959739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062247682,0.0004436454,0.93050194,0.0001592023,0.000054484375,0.000048276466,0.000019294062,0.00035981814,0.006165651],"genre_scores_gemma":[0.975076,0.00018766653,0.02158646,0.00005780511,0.00004042446,0.00007635626,0.000041936328,0.000012947311,0.0029204122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952877,0.000085854525,0.000021586697,0.00012733306,0.00017717294,0.00005935139],"domain_scores_gemma":[0.99940765,0.00020619445,0.0001395047,0.000059291364,0.0001624722,0.000024882343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064319285,0.00046584828,0.0006653303,0.0002704789,0.00035740103,0.0006008533,0.0008906803,0.00071730855,0.0015234061],"category_scores_gemma":[0.0012673495,0.00014910626,0.0004185277,0.00025629657,0.0007393806,0.00044029328,0.00072767894,0.0008262663,0.00021003485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019398457,0.00014202978,0.0015567036,0.00027951843,0.00007620169,0.0006980102,0.0003151683,0.8111793,0.025049195,0.04114023,0.0012253743,0.11814437],"study_design_scores_gemma":[0.000011983356,0.000081908096,0.00021097387,0.000006129507,0.0000049850883,0.00005438276,0.000009656927,0.9950033,0.001194327,0.0028070319,0.000609497,0.0000058989067],"about_ca_topic_score_codex":0.0027220622,"about_ca_topic_score_gemma":0.0016066381,"teacher_disagreement_score":0.0027220622,"about_ca_system_score_codex":0.0004075558,"about_ca_system_score_gemma":0.00064417475,"threshold_uncertainty_score":0.0054124594},"labels":[],"label_agreement":null},{"id":"W2145599560","doi":"10.1177/1077546311426169","title":"A sliding mode vibration controller for lead screw drives","year":2012,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Maple Leaf Foods; University of Waterloo","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Vibration; Torque; Angular velocity; Sliding mode control; Mode (computer interface); Engineering; Computer science; Physics; Nonlinear system; Acoustics; Control (management); Classical mechanics","score_opus":0.00971671744426602,"score_gpt":0.2406753606527068,"score_spread":0.23095864320844078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145599560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021935,0.00055696577,0.9717396,0.00010341744,0.00016495216,0.0000630428,0.000032724987,0.0008553456,0.004548884],"genre_scores_gemma":[0.935954,0.00034958764,0.057693,0.000053209962,0.000040220028,0.00013666498,0.00005732545,0.000021962029,0.0056941328],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982315,0.000020326741,0.0000099180525,0.000037899375,0.00009397556,0.000014892382],"domain_scores_gemma":[0.99987364,0.00003435407,0.0000136340195,0.000010869127,0.000057501627,0.000010132309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020153537,0.00041327925,0.00032848906,0.00022017033,0.00033758525,0.0005976181,0.00065007695,0.00053068704,0.0017780904],"category_scores_gemma":[0.0005082551,0.00014014871,0.00023837527,0.00014638368,0.0002973778,0.00027341623,0.00031312497,0.0005419416,0.00031251094],"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":[0.0004964248,0.00013389881,0.000938188,0.000534438,0.00010209252,0.0005797816,0.00043790892,0.36607665,0.15335335,0.02444345,0.0046238904,0.44828],"study_design_scores_gemma":[0.00007003339,0.0003937482,0.00050441024,0.00002129085,0.000021247322,0.00009697144,0.000020933838,0.979512,0.011724507,0.0018015438,0.005812366,0.000020945621],"about_ca_topic_score_codex":0.0029383153,"about_ca_topic_score_gemma":0.0020584331,"teacher_disagreement_score":0.0029383153,"about_ca_system_score_codex":0.00029467943,"about_ca_system_score_gemma":0.0005468602,"threshold_uncertainty_score":0.005948305},"labels":[],"label_agreement":null},{"id":"W2145850751","doi":"10.1109/icsmc.1993.390772","title":"Real-time control experiments using an industrial robot retrofitted with an open-structure controller","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Robot; Controller (irrigation); Computer science; Software; Control engineering; Robot control; Actuator; Embedded system; Scheme (mathematics); Mobile robot; Simulation; Artificial intelligence; Engineering; Operating system","score_opus":0.04234944946085867,"score_gpt":0.25846816847112514,"score_spread":0.21611871901026647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145850751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94833463,0.00011409397,0.04688687,0.00012327632,0.00013623288,0.0002803032,0.00014409589,0.0011279684,0.002852518],"genre_scores_gemma":[0.9830633,0.000043301803,0.015524421,0.000020872694,0.000007424736,0.00014393906,0.00008758065,0.000019053132,0.0010902265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961203,0.00007778884,0.00003707283,0.00006756304,0.00014702496,0.000058568105],"domain_scores_gemma":[0.99903846,0.00031899055,0.00013193996,0.00016598453,0.00023470249,0.00010990134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006780302,0.00052724266,0.00040618415,0.00038251153,0.0003718967,0.00031849014,0.0007671754,0.0005602265,0.0018409104],"category_scores_gemma":[0.0012843435,0.00020375232,0.0002711218,0.00023960003,0.0005716646,0.00033309168,0.0003176278,0.0005661414,0.00020547814],"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":[0.003057418,0.0035050139,0.002627649,0.0007366491,0.00015404209,0.00098722,0.00076906366,0.29242846,0.6365095,0.0026638221,0.002038127,0.05452311],"study_design_scores_gemma":[0.00077879487,0.027134957,0.00860097,0.000055482567,0.00008078788,0.00029962402,0.0003010366,0.5943846,0.36268863,0.000800238,0.0047452883,0.00012952191],"about_ca_topic_score_codex":0.0012338391,"about_ca_topic_score_gemma":0.0009977525,"teacher_disagreement_score":0.0018409104,"about_ca_system_score_codex":0.00028660995,"about_ca_system_score_gemma":0.00020344017,"threshold_uncertainty_score":0.006158471},"labels":[],"label_agreement":null},{"id":"W2145982316","doi":"10.1109/cdc.2001.980986","title":"Control for canceling periodic disturbances with uncertain frequency","year":2003,"lang":"en","type":"article","venue":"Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Internal model; Automatic frequency control; Controller (irrigation); Perturbation (astronomy); Singular perturbation; Computer science; Stability (learning theory); LTI system theory; Ideal (ethics); Mathematics; Control (management); Linear system; Mathematical analysis; Physics; Artificial intelligence","score_opus":0.012565239988998129,"score_gpt":0.222941547098494,"score_spread":0.21037630710949587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145982316","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00515304,0.000119684715,0.9928669,0.00004801638,0.00005041185,0.000026392732,0.0000067255623,0.00026513208,0.0014636533],"genre_scores_gemma":[0.583987,0.0004596905,0.40474412,0.0002480315,0.00018980817,0.0002701255,0.00008255563,0.00012872479,0.009889978],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978906,0.000019045307,0.000013661499,0.000043740733,0.0001090271,0.000025399373],"domain_scores_gemma":[0.9997205,0.00010018582,0.000073137824,0.000020981532,0.0000717672,0.00001342307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033853197,0.0007259308,0.0005123768,0.00051672844,0.00049951836,0.0006295716,0.00073854503,0.00068243785,0.0015863614],"category_scores_gemma":[0.00096898765,0.0002469516,0.00032277143,0.0003326087,0.00055609073,0.00055467495,0.00047057672,0.00071712915,0.0006617419],"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":[0.00024695482,0.00013240271,0.0005856592,0.00030906103,0.000097126256,0.0002825491,0.00041250105,0.25714272,0.056516826,0.0282714,0.0033839957,0.6526187],"study_design_scores_gemma":[0.00006202869,0.00032048384,0.00031148712,0.000024339599,0.000034762674,0.00020207652,0.000028775765,0.96800977,0.016820587,0.006630951,0.0075291093,0.00002565594],"about_ca_topic_score_codex":0.0020139606,"about_ca_topic_score_gemma":0.0021756627,"teacher_disagreement_score":0.0020139606,"about_ca_system_score_codex":0.00026631786,"about_ca_system_score_gemma":0.00034358157,"threshold_uncertainty_score":0.00530684},"labels":[],"label_agreement":null},{"id":"W2146980256","doi":"10.1109/cca.2005.1507161","title":"Robust iterative learning control design via &amp;#x03BC;-synthesis","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Weighting; Robust control; Computer science; Robustness (evolution); Iterative method; Robot manipulator; Linear system; Iterative design; Design methods; Control engineering; Control system; Control (management); Mathematical optimization; Mathematics; Engineering; Algorithm; Artificial intelligence","score_opus":0.022076194955033594,"score_gpt":0.20382202363929752,"score_spread":0.18174582868426392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146980256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002497444,0.00007544613,0.9942967,0.000033378976,0.000015919579,0.000026707537,0.000008904315,0.00032254498,0.0027229243],"genre_scores_gemma":[0.5132733,0.00028590672,0.48089778,0.00011645253,0.000050647497,0.00042815847,0.00009550381,0.000096105374,0.004756182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960405,0.00007626533,0.000032079748,0.00008164008,0.00017133911,0.000034658933],"domain_scores_gemma":[0.999571,0.00015194845,0.00007807789,0.000052210813,0.00013667335,0.000010085751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007245858,0.0005124061,0.00050518394,0.0002255348,0.0002471702,0.0008093945,0.00088586524,0.0005568951,0.0023480519],"category_scores_gemma":[0.0014125454,0.00022389188,0.00037352383,0.00024739912,0.00047306294,0.00048213935,0.00053598126,0.00065699586,0.0008715118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085824184,0.00005648141,0.0002318838,0.0003026115,0.000044044515,0.00010216757,0.00019664191,0.6745207,0.03347366,0.042783316,0.0014158448,0.24678698],"study_design_scores_gemma":[0.000019262303,0.00010314111,0.00006210303,0.000020881991,0.000009143771,0.000043582324,0.000009810638,0.98010135,0.011870563,0.004302338,0.0034470144,0.000010819423],"about_ca_topic_score_codex":0.00094764703,"about_ca_topic_score_gemma":0.00076750916,"teacher_disagreement_score":0.0023480519,"about_ca_system_score_codex":0.00031391083,"about_ca_system_score_gemma":0.00062015717,"threshold_uncertainty_score":0.007855058},"labels":[],"label_agreement":null},{"id":"W2148751888","doi":"10.1243/09544062jmes949","title":"Understanding and modelling the torsional stiffness of harmonic drives through finite-element method","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; General Electric","keywords":"Stiffness; Finite element method; Reduction (mathematics); Rigidity (electromagnetism); Harmonic drive; Torque; Harmonic; Computer science; Structural engineering; Mechanical engineering; Engineering; Mathematics; Acoustics; Physics","score_opus":0.03953115230293339,"score_gpt":0.25625822996000364,"score_spread":0.21672707765707025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148751888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021315005,0.000224427,0.9717539,0.00009436146,0.000026785407,0.00005858209,0.00009068977,0.0003155925,0.006120643],"genre_scores_gemma":[0.64367616,0.0008228154,0.34213623,0.000082332444,0.000026319296,0.0004166538,0.00028249278,0.00018455501,0.012372413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980885,0.000045863453,0.000012977158,0.000024370675,0.00008945925,0.000018400355],"domain_scores_gemma":[0.9995951,0.00024434403,0.000044987006,0.000033070228,0.000071307004,0.000011156833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046395665,0.0004857747,0.00056704297,0.00050095434,0.00032728212,0.0006448163,0.0010612559,0.0017773226,0.0029087272],"category_scores_gemma":[0.0011766214,0.00045284972,0.0005847455,0.00034165118,0.0006177497,0.0006803514,0.0003709486,0.0006716307,0.0007221857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010503504,0.000019330548,0.00026898138,0.000059998743,0.0000070783126,0.000039005306,0.00005845225,0.98353624,0.004995978,0.0034360257,0.00013505718,0.0074334005],"study_design_scores_gemma":[0.000002058945,0.0000069774214,0.00005912928,0.0000073272204,0.000002297993,0.000014952248,0.000008548083,0.9976761,0.00077671144,0.00059777487,0.0008449024,0.0000032666358],"about_ca_topic_score_codex":0.004574848,"about_ca_topic_score_gemma":0.0035331338,"teacher_disagreement_score":0.004574848,"about_ca_system_score_codex":0.00035757112,"about_ca_system_score_gemma":0.00077714643,"threshold_uncertainty_score":0.009730697},"labels":[],"label_agreement":null},{"id":"W2149396338","doi":"10.1109/tmech.2004.842217","title":"FPGA-Based Servo Control and Three-Dimensional Dynamic Interpolation","year":2005,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field-programmable gate array; Interpolation (computer graphics); Computer science; Compensation (psychology); Servo; Control theory (sociology); Constraint (computer-aided design); Deflection (physics); Control engineering; Computer hardware; Engineering; Control (management); Artificial intelligence; Physics; Mechanical engineering; Optics","score_opus":0.0045680606051600415,"score_gpt":0.20273687924446646,"score_spread":0.1981688186393064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149396338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07430108,0.0009328489,0.86293495,0.00024727068,0.0004435618,0.00024743273,0.00021410722,0.010915771,0.049763],"genre_scores_gemma":[0.7938724,0.00040629608,0.19269255,0.00018976074,0.000055944332,0.00016036691,0.00019631184,0.00008168228,0.012344606],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998092,0.000019213821,0.0000074245763,0.000029685196,0.000106034815,0.000028511298],"domain_scores_gemma":[0.9998859,0.000028523003,0.00001331251,0.00002330432,0.000041186246,0.000007683176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013137898,0.00030402635,0.00019925399,0.0002768127,0.00016868958,0.000417106,0.00056086254,0.0002548664,0.003414888],"category_scores_gemma":[0.00030589875,0.0001311608,0.0001278657,0.00024356773,0.00019117958,0.00024313662,0.00019688612,0.00032194165,0.00077103346],"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":[0.00057738926,0.000143081,0.001471518,0.0003582933,0.000050713435,0.0004933955,0.00013959975,0.069554746,0.26547176,0.02011063,0.008563216,0.63306564],"study_design_scores_gemma":[0.00020508138,0.001189343,0.0036527854,0.000099937526,0.00005616824,0.001465731,0.00005946596,0.5262799,0.38546932,0.004482421,0.0769538,0.0000861208],"about_ca_topic_score_codex":0.0015952261,"about_ca_topic_score_gemma":0.0017177893,"teacher_disagreement_score":0.003414888,"about_ca_system_score_codex":0.00024801766,"about_ca_system_score_gemma":0.00034165624,"threshold_uncertainty_score":0.011424005},"labels":[],"label_agreement":null},{"id":"W2149463699","doi":"10.1109/robot.1997.606764","title":"Nonlinear modeling and robust H/sub ∞/-based control of flexible joint robots with harmonic drives","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Harmonic drive; Torque; Nonlinear system; Actuator; Motion control; Engineering; Robot; Control engineering; Computer science; Control (management); Physics; Artificial intelligence","score_opus":0.021003273553662313,"score_gpt":0.18656386610694,"score_spread":0.1655605925532777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149463699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049196977,0.0003107349,0.9449951,0.00013205767,0.00003319849,0.0000229747,0.000024749801,0.00033235503,0.004951842],"genre_scores_gemma":[0.9701892,0.00023733107,0.025541328,0.00003285293,0.000019318031,0.0000556079,0.000041463554,0.000026940996,0.0038559097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998579,0.000038650134,0.000007681818,0.000024550423,0.000057343448,0.000013906659],"domain_scores_gemma":[0.99982834,0.00006969715,0.000047250476,0.000018201905,0.000030025867,0.000006484329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028896026,0.0003684029,0.00037867686,0.00012640019,0.00021164892,0.00054975576,0.00054901326,0.00036201085,0.0007105102],"category_scores_gemma":[0.0006906823,0.00020476857,0.0002461718,0.00013901155,0.0006057907,0.00046669948,0.00048566415,0.00043245152,0.00021613254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006424462,0.000019917738,0.00026331074,0.00006444842,0.000015373602,0.00006195916,0.00008847284,0.94153374,0.01060369,0.014814394,0.00045899616,0.032011345],"study_design_scores_gemma":[0.000003187691,0.000022921407,0.00008568557,0.0000018269686,0.0000017294225,0.000008309869,0.00000545533,0.9971185,0.0009374996,0.0014310656,0.0003812964,0.0000026029934],"about_ca_topic_score_codex":0.0043386356,"about_ca_topic_score_gemma":0.0027264447,"teacher_disagreement_score":0.0043386356,"about_ca_system_score_codex":0.00043965178,"about_ca_system_score_gemma":0.00040379437,"threshold_uncertainty_score":0.008626759},"labels":[],"label_agreement":null},{"id":"W2149713242","doi":"10.1109/icca.2002.1229276","title":"Teleopration with random time delay estimation using MEP method","year":2005,"lang":"en","type":"article","venue":"","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 Alberta","funders":"","keywords":"Estimation; Computer science; Engineering","score_opus":0.005312119735206426,"score_gpt":0.23554304295147907,"score_spread":0.23023092321627264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149713242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006786364,0.00011669287,0.99201775,0.000047401103,0.00002567243,0.00002175444,0.000018495884,0.00013179623,0.000834199],"genre_scores_gemma":[0.592266,0.00024285262,0.4014182,0.00007555449,0.00005047444,0.00024653965,0.00007478822,0.00006859498,0.0055568954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997552,0.000086486514,0.00001794761,0.000054273634,0.00007114988,0.000014864539],"domain_scores_gemma":[0.99917644,0.00052363425,0.00007556318,0.000050461666,0.00016041732,0.000013451791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044951634,0.0004322988,0.0006551981,0.00024998217,0.00022238964,0.00034108604,0.0004922668,0.00073844794,0.002308826],"category_scores_gemma":[0.0018490137,0.0003113345,0.00039816054,0.00029395436,0.00018658355,0.0008087842,0.00053912704,0.00040847258,0.0003428436],"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":[0.0008192163,0.00013444478,0.0014713459,0.0005766026,0.00016743781,0.00021510916,0.00012376458,0.54875815,0.030858159,0.0107699055,0.0014192163,0.40468666],"study_design_scores_gemma":[0.000022612652,0.00007771702,0.00043125736,0.000012790241,0.000019054096,0.00007092024,0.0000058979736,0.9936919,0.004080783,0.0010327394,0.0005440842,0.000010249264],"about_ca_topic_score_codex":0.0013968187,"about_ca_topic_score_gemma":0.0010878687,"teacher_disagreement_score":0.002308826,"about_ca_system_score_codex":0.00016953373,"about_ca_system_score_gemma":0.00040898906,"threshold_uncertainty_score":0.0077237487},"labels":[],"label_agreement":null},{"id":"W2149724346","doi":"10.1016/j.cad.2013.07.002","title":"Efficient time-optimal feedrate planning under dynamic constraints for a high-order CNC servo system","year":2013,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Jerk; Control theory (sociology); Kinematics; Servo; Servomechanism; Numerical control; Acceleration; Machining; Tracking error; Nonlinear system; Trajectory; Constraint (computer-aided design); Machine tool; Tracking (education); Computer science; Control engineering; Engineering; Control (management); Mechanical engineering; Artificial intelligence","score_opus":0.01020435072227142,"score_gpt":0.2064786267760696,"score_spread":0.19627427605379819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149724346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101191975,0.00018917593,0.8908887,0.00013149262,0.000025528228,0.000071339964,0.000056754456,0.00045052273,0.0069945953],"genre_scores_gemma":[0.94948137,0.00007122756,0.04866882,0.000017708988,0.0000059684985,0.000044685177,0.000032002124,0.000023484323,0.0016546467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983776,0.000024770405,0.0000073408705,0.0000295143,0.00007036467,0.000030235773],"domain_scores_gemma":[0.9997451,0.00012526127,0.00004143114,0.000016373047,0.00005484653,0.000017040724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034692188,0.0005535993,0.00055746944,0.00029127978,0.0005447517,0.00066275394,0.0003581349,0.00065330666,0.0016782552],"category_scores_gemma":[0.00082089845,0.00034978174,0.00020543564,0.00033590672,0.000410687,0.0003502287,0.00043739486,0.000440864,0.00015610541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011480822,0.000018313778,0.00020112822,0.00006937698,0.000006085518,0.00007951638,0.00007338384,0.9648555,0.007596995,0.0023092208,0.0002476079,0.02442812],"study_design_scores_gemma":[0.000011986643,0.00003267954,0.000119154036,0.00000391166,0.0000030272977,0.000010773878,0.000007286474,0.9970974,0.0020231311,0.00048604904,0.00020008588,0.0000044683597],"about_ca_topic_score_codex":0.023656148,"about_ca_topic_score_gemma":0.0221282,"teacher_disagreement_score":0.023656148,"about_ca_system_score_codex":0.00063883973,"about_ca_system_score_gemma":0.002125927,"threshold_uncertainty_score":0.047036946},"labels":[],"label_agreement":null},{"id":"W2150258716","doi":"10.1109/tmech.2006.882992","title":"Adaptive Control of Harmonic Drives Based on Virtual Decomposition","year":2006,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Canadian Space Agency","funders":"","keywords":"Controller (irrigation); Control theory (sociology); Adaptive control; Compensation (psychology); Harmonic; Stability (learning theory); Reduction (mathematics); Computer science; PID controller; Harmonic drive; Control engineering; Control (management); Engineering; Artificial intelligence; Mathematics; Physics; Machine learning; Temperature control","score_opus":0.005126957266585357,"score_gpt":0.20376428345019731,"score_spread":0.19863732618361196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150258716","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06160312,0.00018039264,0.9310524,0.00007310945,0.00006911263,0.000034258683,0.000017176839,0.0005359051,0.006434475],"genre_scores_gemma":[0.9640604,0.00012112406,0.032077014,0.00003942905,0.000020272231,0.000044056138,0.000024863037,0.00002303577,0.0035898043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990404,0.00001496937,0.0000050121075,0.000027986582,0.00003514303,0.000012877738],"domain_scores_gemma":[0.9998758,0.000039470695,0.000027949704,0.000014261814,0.000032234344,0.000010417899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001604214,0.00028163934,0.000204496,0.00016741647,0.00017761215,0.00042763143,0.0003694644,0.00016551794,0.0011746986],"category_scores_gemma":[0.00036436596,0.00010909126,0.00019099755,0.000118112315,0.0003371882,0.00020175801,0.00038941635,0.00033702332,0.00021012318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028230212,0.00014909852,0.00085249933,0.00020078999,0.000051486102,0.00015774983,0.00027297414,0.46626815,0.14936662,0.039818708,0.0027085901,0.339871],"study_design_scores_gemma":[0.000016238277,0.000112942274,0.00034187417,0.0000064150026,0.0000063487787,0.00003626359,0.000010749102,0.98803574,0.0064327167,0.0026900887,0.0023013817,0.000009251084],"about_ca_topic_score_codex":0.0011543784,"about_ca_topic_score_gemma":0.0011265563,"teacher_disagreement_score":0.0011746986,"about_ca_system_score_codex":0.0002430022,"about_ca_system_score_gemma":0.00021559597,"threshold_uncertainty_score":0.003929734},"labels":[],"label_agreement":null},{"id":"W2150755676","doi":"10.1109/cdc.2000.912286","title":"Performance limitations in the robust servomechanism problem for discrete time periodic systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Servomechanism; Control theory (sociology); Discrete time and continuous time; Tracking error; Computer science; Robust control; Limiting; Transmission (telecommunications); Mathematics; Control system; Engineering; Control engineering; Control (management); Telecommunications","score_opus":0.034506333278178064,"score_gpt":0.1899377676757695,"score_spread":0.15543143439759144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150755676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14588903,0.0038278752,0.8105202,0.0028706028,0.00013724963,0.000096097,0.00015154238,0.00040099875,0.036106464],"genre_scores_gemma":[0.97076416,0.0017436614,0.022164073,0.00016295095,0.0001037928,0.00014695259,0.0001279839,0.00009122937,0.004695195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811196,0.000570975,0.000121711324,0.00021072834,0.00081121194,0.00017334304],"domain_scores_gemma":[0.9895974,0.008022096,0.0006718071,0.00043298007,0.0011457353,0.00013004833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002926949,0.00050574285,0.00056769,0.0004272812,0.00037380488,0.0019940035,0.0007921721,0.0012915093,0.003238231],"category_scores_gemma":[0.014546641,0.0002931078,0.00030723005,0.00035325636,0.0010145217,0.0024249374,0.00096542056,0.0011459701,0.00051492325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005295449,0.00013710967,0.001488467,0.0013627816,0.00005946712,0.0006672898,0.00046860147,0.5598895,0.044598352,0.24754685,0.004282768,0.13896938],"study_design_scores_gemma":[0.000037346228,0.00020963015,0.0010550993,0.0000932005,0.000016187172,0.00028553235,0.00011190622,0.9308682,0.010509218,0.053402774,0.0033749207,0.000036123613],"about_ca_topic_score_codex":0.001072855,"about_ca_topic_score_gemma":0.00037068312,"teacher_disagreement_score":0.003238231,"about_ca_system_score_codex":0.0006827651,"about_ca_system_score_gemma":0.00057452766,"threshold_uncertainty_score":0.015479326},"labels":[],"label_agreement":null},{"id":"W2151765172","doi":"10.1109/tcsi.2003.808891","title":"Observer-based iterative learning control for a class of time-varying nonlinear systems","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Observer (physics); Tracking error; Nonlinear system; Mathematics; State observer; Convergence (economics); Computer science; Control (management); Artificial intelligence","score_opus":0.01356348046779505,"score_gpt":0.22950637293049236,"score_spread":0.21594289246269732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151765172","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006421461,0.00025042312,0.9911606,0.00005833859,0.000034302164,0.000028346405,0.0000105988265,0.00014560545,0.0018904166],"genre_scores_gemma":[0.85941356,0.001082153,0.13399523,0.000116185955,0.00010291827,0.0003211035,0.00014670735,0.000045055705,0.004776942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948406,0.00011490348,0.00003685897,0.00011290641,0.00019639052,0.000054970118],"domain_scores_gemma":[0.99931014,0.0002823576,0.00013208881,0.00006751424,0.00018504504,0.000022830789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087484653,0.0006369605,0.0006972954,0.000290336,0.00032320252,0.0009739176,0.0009970892,0.0008993573,0.0009760523],"category_scores_gemma":[0.0018119412,0.00018206898,0.0004772045,0.0003712088,0.0008624397,0.00076041004,0.000653728,0.0011955805,0.0002605762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014078052,0.00010329568,0.0010406498,0.00042185208,0.00008896071,0.00038237014,0.00048016937,0.7471652,0.02206175,0.098999865,0.0016417374,0.12747332],"study_design_scores_gemma":[0.000011686616,0.00004432215,0.00009127645,0.0000075348044,0.000006329905,0.00002692572,0.0000072494613,0.9938478,0.0012110354,0.0034247318,0.0013155498,0.0000056542976],"about_ca_topic_score_codex":0.0030843269,"about_ca_topic_score_gemma":0.0017414446,"teacher_disagreement_score":0.0030843269,"about_ca_system_score_codex":0.000520892,"about_ca_system_score_gemma":0.0007860718,"threshold_uncertainty_score":0.0061327815},"labels":[],"label_agreement":null},{"id":"W2152779398","doi":"10.1109/ccece.1996.548213","title":"Multirate discretization of analog controllers","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Discretization; Control theory (sociology); Constraint (computer-aided design); Extension (predicate logic); Stability (learning theory); Computer science; Discretization error; Mathematical optimization; Mathematics; Control (management); Artificial intelligence","score_opus":0.007323817673824361,"score_gpt":0.15554757082799273,"score_spread":0.14822375315416836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152779398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061821933,0.0003753772,0.98413116,0.00007495447,0.00014469362,0.00003593077,0.000028164593,0.00025739626,0.008770101],"genre_scores_gemma":[0.5321314,0.00084773975,0.45686853,0.00015668767,0.00009729126,0.00014900937,0.000084483945,0.00008728179,0.009577556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995882,0.00010692407,0.000030033345,0.00005689346,0.00017991434,0.000038056765],"domain_scores_gemma":[0.9996456,0.000119320335,0.000045403573,0.00010530424,0.000061021838,0.000023415463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004693403,0.00044288355,0.0004916075,0.00029967175,0.0002561986,0.00096148305,0.0007482333,0.00063344534,0.005178106],"category_scores_gemma":[0.0011916409,0.0002353314,0.00050551223,0.00025479303,0.0005140611,0.0008036324,0.00076264486,0.0011037376,0.0007627175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024212144,0.000117673655,0.00044116957,0.0003462185,0.000033384997,0.00015702535,0.00021729844,0.57834715,0.062341217,0.18682206,0.0019761047,0.16895856],"study_design_scores_gemma":[0.00001965367,0.000066112625,0.00009197335,0.00003138833,0.0000075222215,0.000064482905,0.000013678887,0.96758425,0.01186502,0.0104065025,0.009833726,0.000015681037],"about_ca_topic_score_codex":0.0006799155,"about_ca_topic_score_gemma":0.00084437965,"teacher_disagreement_score":0.005178106,"about_ca_system_score_codex":0.0005140515,"about_ca_system_score_gemma":0.00035572847,"threshold_uncertainty_score":0.017322421},"labels":[],"label_agreement":null},{"id":"W2153186961","doi":"10.1115/1.3155005","title":"Minimum Tracking Error Control of Flexible Ball Screw Drives Using a Discrete-Time Sliding Mode Controller","year":2009,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Machine Tool Engineering Foundation","keywords":"Control theory (sociology); Tracking error; Ball screw; Sliding mode control; Tracking (education); Ball (mathematics); Computer science; Controller (irrigation); Vibration; Engineering; Control engineering; Mathematics; Nonlinear system; Control (management); Physics; Artificial intelligence; Acoustics","score_opus":0.016683864987442506,"score_gpt":0.2452116078780079,"score_spread":0.22852774289056538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153186961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074091345,0.00023106272,0.9233704,0.00008359109,0.000041070154,0.0000226692,0.000015198261,0.00031977036,0.0018248052],"genre_scores_gemma":[0.9698738,0.00008403544,0.029005075,0.000014682908,0.0000099452,0.000033904107,0.000017840024,0.000009429387,0.0009513368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975604,0.00005167272,0.0000152055345,0.000047995305,0.00010927551,0.000019800196],"domain_scores_gemma":[0.99971074,0.00011819687,0.000056095418,0.00003400435,0.000067475,0.00001346584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003947564,0.0004153435,0.00031218218,0.00017443154,0.0002010335,0.0005079826,0.00055715203,0.0003414229,0.00051638525],"category_scores_gemma":[0.00080820103,0.00018259627,0.000267376,0.00012474124,0.00037561028,0.0004135222,0.00029494727,0.00037456668,0.0001129374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005176,0.00014762336,0.0013115358,0.00031896957,0.00006971159,0.00023191988,0.00049380946,0.6636619,0.10228045,0.01846532,0.001060957,0.2114402],"study_design_scores_gemma":[0.000026889353,0.00014837178,0.00024355826,0.00000556293,0.000007606061,0.000022779142,0.000008924431,0.9906019,0.007219266,0.00096373947,0.0007446349,0.0000068709796],"about_ca_topic_score_codex":0.0017114019,"about_ca_topic_score_gemma":0.0013805466,"teacher_disagreement_score":0.0017114019,"about_ca_system_score_codex":0.00022687328,"about_ca_system_score_gemma":0.00024958566,"threshold_uncertainty_score":0.0034029484},"labels":[],"label_agreement":null},{"id":"W2153344348","doi":"10.1109/acc.2003.1239123","title":"An LMI approach to IMC-based robust tunable control","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Robustness (evolution); Robust control; Control (management); Control theory (sociology); Control system; Control engineering; Engineering; Artificial intelligence; Electrical engineering; Chemistry","score_opus":0.007821503135823367,"score_gpt":0.19033018959302425,"score_spread":0.1825086864572009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153344348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000545437,0.00021600969,0.9911685,0.0001020342,0.000043565615,0.000017800978,0.000021343885,0.0002572126,0.007628098],"genre_scores_gemma":[0.54729486,0.001530638,0.43216246,0.00056705,0.00047273503,0.00054766255,0.00022674809,0.00039469555,0.016803171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999534,0.00008775177,0.000029899746,0.00010815951,0.00020348062,0.00003666735],"domain_scores_gemma":[0.99974376,0.00009599652,0.000043234995,0.000035797668,0.00007354029,0.000007605571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063644926,0.0008051954,0.0007214356,0.0004450139,0.00040462226,0.0009326409,0.0013469016,0.0007470894,0.0054404056],"category_scores_gemma":[0.0009795309,0.00032470166,0.00060057733,0.000454267,0.0007003379,0.000603973,0.0007556947,0.0018381297,0.001156359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060705046,0.00006277435,0.00014978705,0.00045526552,0.00009188551,0.00022762189,0.00019910968,0.5661286,0.029039754,0.18469203,0.0064395457,0.21245295],"study_design_scores_gemma":[0.000014149198,0.000075818774,0.0000957985,0.00003042576,0.000020040032,0.00007233043,0.000016468737,0.9607785,0.0052827215,0.019515794,0.014075024,0.000022983986],"about_ca_topic_score_codex":0.0014934865,"about_ca_topic_score_gemma":0.0013873271,"teacher_disagreement_score":0.0054404056,"about_ca_system_score_codex":0.0008538394,"about_ca_system_score_gemma":0.0005078921,"threshold_uncertainty_score":0.01819998},"labels":[],"label_agreement":null},{"id":"W2154087305","doi":"10.1109/cca.2004.1387243","title":"Development of an adaptive learning PD control for robotic system applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Control theory (sociology); Feed forward; Iterative learning control; Convergence (economics); Trajectory; Adaptive control; Control system; Control engineering; Computer science; Stability (learning theory); Control (management); Tracking (education); Sliding mode control; Nonlinear system; Engineering; Artificial intelligence; Machine learning","score_opus":0.010060849327235164,"score_gpt":0.2176191404602675,"score_spread":0.20755829113303234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154087305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002565364,0.00017124186,0.9944218,0.000057051533,0.00006045846,0.000055002503,0.0000067124447,0.0002721494,0.0023901914],"genre_scores_gemma":[0.37775838,0.00058730785,0.61267626,0.000184399,0.00013694957,0.0003916493,0.000071931114,0.000044729204,0.008148362],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974185,0.000029854757,0.000014409362,0.00005396268,0.00014479527,0.000015079511],"domain_scores_gemma":[0.9997454,0.00006053471,0.000023489847,0.000020585803,0.00013477016,0.000015157538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821979,0.0004206933,0.0003518293,0.00029420332,0.00028684342,0.0004957006,0.0010965008,0.00058789895,0.0013097873],"category_scores_gemma":[0.00074849353,0.00019452395,0.00025521,0.00026165842,0.00037346687,0.0004712703,0.00048933324,0.00074665697,0.00032984282],"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":[0.000094195915,0.0001319279,0.000705141,0.0003435113,0.00005460044,0.00028508957,0.00016520928,0.2007642,0.07324486,0.040446963,0.0034628345,0.6803014],"study_design_scores_gemma":[0.000031571468,0.0002111992,0.00020891291,0.000014341425,0.000009786636,0.0001476999,0.000009733154,0.97317874,0.011443932,0.0024883512,0.012240048,0.000015725775],"about_ca_topic_score_codex":0.0018501837,"about_ca_topic_score_gemma":0.0011302744,"teacher_disagreement_score":0.0018501837,"about_ca_system_score_codex":0.0002951439,"about_ca_system_score_gemma":0.0006587561,"threshold_uncertainty_score":0.0043816566},"labels":[],"label_agreement":null},{"id":"W2154217080","doi":"10.1109/ias.1988.25112","title":"Synthesis of optimal sliding mode control for robust DC drive","year":2003,"lang":"en","type":"article","venue":"Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Weighting; Control theory (sociology); Computation; Optimal control; Riccati equation; Matrix (chemical analysis); Minification; Computer science; Quadratic equation; Mathematical optimization; Selection (genetic algorithm); Algebraic Riccati equation; Optimal design; Mathematics; Algorithm; Control (management); Artificial intelligence","score_opus":0.020362452109675806,"score_gpt":0.2474609166294353,"score_spread":0.2270984645197595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154217080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010828201,0.00016128786,0.98091745,0.00011099656,0.0000628573,0.000073548414,0.00003755701,0.00038909152,0.0074190297],"genre_scores_gemma":[0.7403285,0.0002843669,0.2532215,0.000079931866,0.00003739424,0.0002845455,0.00010736085,0.00006465948,0.0055916747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999877,0.000014270483,0.000008393282,0.000026657823,0.000059977192,0.0000137366615],"domain_scores_gemma":[0.999877,0.000033336873,0.000024249042,0.000014753781,0.000043171654,0.0000075475627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036215116,0.00041724398,0.00034581666,0.00031668379,0.00023254933,0.00059939787,0.00034174533,0.0004500939,0.002823531],"category_scores_gemma":[0.0006082565,0.00023428543,0.00026784392,0.00017533383,0.00030977477,0.00022620909,0.00029134034,0.0003664332,0.00034851304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013198299,0.00008597828,0.00034986658,0.00042532978,0.00004348139,0.00017979975,0.0001994871,0.586594,0.07177195,0.10198409,0.0032436834,0.23499043],"study_design_scores_gemma":[0.000021321503,0.00009439229,0.00013471686,0.000018788276,0.0000074026325,0.000021646652,0.000009973697,0.98312485,0.007717433,0.0046083294,0.004232246,0.000008957203],"about_ca_topic_score_codex":0.0010196932,"about_ca_topic_score_gemma":0.0011544257,"teacher_disagreement_score":0.002823531,"about_ca_system_score_codex":0.00037286637,"about_ca_system_score_gemma":0.0006270912,"threshold_uncertainty_score":0.009445667},"labels":[],"label_agreement":null},{"id":"W2154327602","doi":"10.1109/cdc.2010.5717315","title":"Performance limitations of the servomechanism problem when the number of tracking/disturbance poles increases","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Servomechanism; Control theory (sociology); Disturbance (geology); Tracking (education); Measure (data warehouse); Controller (irrigation); sort; Mathematics; Robust control; Computer science; Index (typography); Control system; Engineering; Control (management); Control engineering; Artificial intelligence","score_opus":0.013507376112355234,"score_gpt":0.20316104427141402,"score_spread":0.1896536681590588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154327602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2384876,0.0010609042,0.7476756,0.0017121847,0.000074904354,0.00013727497,0.000090989095,0.00035160358,0.010408827],"genre_scores_gemma":[0.9578185,0.000483353,0.03992347,0.00015293913,0.00007264895,0.00013505896,0.000059159018,0.0000476583,0.0013073123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980089,0.00060103484,0.00014761489,0.00025197264,0.00078731205,0.00020309769],"domain_scores_gemma":[0.9792947,0.016212229,0.0020450028,0.0009617451,0.0010409241,0.00044544705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037492479,0.00061184773,0.00089423306,0.00045301317,0.00044749182,0.0011659275,0.0009263186,0.0011092721,0.002324361],"category_scores_gemma":[0.019287506,0.00032224198,0.00038671336,0.00040546383,0.0016450275,0.0023819234,0.0013416864,0.0014094495,0.00029389717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058397354,0.00019764341,0.003383787,0.0012055372,0.00011716543,0.0005806499,0.000488295,0.7121213,0.054470334,0.11735285,0.0019621246,0.10753636],"study_design_scores_gemma":[0.000058108646,0.00048884394,0.0025031627,0.00006396709,0.000023000011,0.00030682303,0.00012427465,0.92117536,0.01449418,0.059303798,0.001418851,0.000039628696],"about_ca_topic_score_codex":0.000621312,"about_ca_topic_score_gemma":0.00025292742,"teacher_disagreement_score":0.0037492479,"about_ca_system_score_codex":0.00046174516,"about_ca_system_score_gemma":0.0006204874,"threshold_uncertainty_score":0.0198282},"labels":[],"label_agreement":null},{"id":"W2155281039","doi":"10.1017/s0263574710000159","title":"A novel iteration-based controller for hybrid machine systems for trajectory tracking at the end-effector level","year":2010,"lang":"en","type":"article","venue":"Robotica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Servomotor; Flexibility (engineering); Controller (irrigation); Computer science; Control engineering; Trajectory; Motor controller; Electric motor; Servomechanism; Tracking (education); DC motor; Servo; Power (physics); Engineering; Artificial intelligence; Control (management); Mathematics","score_opus":0.022207378688083975,"score_gpt":0.24036848051879864,"score_spread":0.21816110183071466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155281039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011104726,0.00009305306,0.9856044,0.000040898216,0.000050920302,0.000041399653,0.000009589327,0.0005712062,0.0024837977],"genre_scores_gemma":[0.76996976,0.00012015835,0.22329074,0.00007979554,0.00004796825,0.00023335971,0.00004183606,0.00004767228,0.0061686984],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997379,0.00003958844,0.000018562481,0.00006106182,0.00012381216,0.000019051944],"domain_scores_gemma":[0.9997092,0.00008183388,0.00004280457,0.000030266212,0.000116533236,0.00001938701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004979833,0.0004094839,0.00034790803,0.0002260877,0.00027065226,0.0005202856,0.0010596203,0.00056059024,0.0018337037],"category_scores_gemma":[0.00057371886,0.00013955301,0.00025743683,0.00013319019,0.00043415267,0.0003285263,0.00044935162,0.000605599,0.0004278194],"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":[0.0003294893,0.00018467513,0.0007517967,0.00036678798,0.00013210716,0.00025537936,0.00032405127,0.38289008,0.15948579,0.031940985,0.0039171297,0.41942176],"study_design_scores_gemma":[0.00003177586,0.00017462131,0.00020198728,0.000010192309,0.000011803153,0.000075902724,0.0000055233386,0.98683083,0.008325415,0.0010705317,0.0032458596,0.000015416545],"about_ca_topic_score_codex":0.0012995809,"about_ca_topic_score_gemma":0.0014202915,"teacher_disagreement_score":0.0018337037,"about_ca_system_score_codex":0.00035437217,"about_ca_system_score_gemma":0.0004827365,"threshold_uncertainty_score":0.006134391},"labels":[],"label_agreement":null},{"id":"W2156107734","doi":"10.1115/detc2009-86697","title":"PD-PD Type Learning Control for Uncertain Nonlinear Systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Iterative learning control; Trajectory; Control theory (sociology); Tracking error; Convergence (economics); Computer science; Monotonic function; Nonlinear system; Scheme (mathematics); Tracking (education); Control (management); Mathematical optimization; Mathematics; Artificial intelligence","score_opus":0.0093863498676895,"score_gpt":0.2354708798948363,"score_spread":0.22608453002714682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156107734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029713188,0.00024812744,0.9949679,0.000053070606,0.000066759225,0.000030594347,0.000007683182,0.00017175701,0.0014828228],"genre_scores_gemma":[0.8221815,0.0009895109,0.1666816,0.00031954996,0.00022689208,0.00035958012,0.00012376455,0.000053112828,0.009064451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920624,0.00013660392,0.000054749522,0.00017063528,0.00038082426,0.000050932344],"domain_scores_gemma":[0.9993199,0.0002181096,0.00009754093,0.000060889608,0.0002782806,0.000025213925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000989485,0.00066307775,0.00066344877,0.0003627401,0.0004130772,0.0008724656,0.0014464299,0.00083214924,0.0011349206],"category_scores_gemma":[0.0020271277,0.0002126127,0.00041370382,0.00045098807,0.00085380767,0.0008784001,0.00070794724,0.0011468229,0.00030774952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019599166,0.00012575876,0.00072545174,0.00042885332,0.000084835294,0.0002231499,0.00018720889,0.5951902,0.012130023,0.041065965,0.0029317176,0.34671086],"study_design_scores_gemma":[0.000019071626,0.00008851811,0.000106014675,0.0000079180245,0.0000068406225,0.000043378903,0.0000046828577,0.9923625,0.0021171314,0.0032487968,0.001985554,0.000009575011],"about_ca_topic_score_codex":0.0022939437,"about_ca_topic_score_gemma":0.0013080593,"teacher_disagreement_score":0.0022939437,"about_ca_system_score_codex":0.0006523448,"about_ca_system_score_gemma":0.00072847685,"threshold_uncertainty_score":0.00523293},"labels":[],"label_agreement":null},{"id":"W2157440117","doi":"10.1109/ccece.1998.682750","title":"Adaptive high precision position control for a flexible joint with friction and parameter uncertainties using neural networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Control theory (sociology); Feed forward; Artificial neural network; Controller (irrigation); Adaptive control; Computer science; Position (finance); Torque; Compensation (psychology); Feedforward neural network; Vibration; Control engineering; Engineering; Control (management); Artificial intelligence","score_opus":0.02125576338345538,"score_gpt":0.20614911790658744,"score_spread":0.18489335452313205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157440117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062216867,0.000539908,0.93425226,0.00016278548,0.00007945214,0.00003009572,0.000015692167,0.0004024237,0.0023004923],"genre_scores_gemma":[0.9727414,0.0001828022,0.025154324,0.000029581555,0.000035264304,0.000052161216,0.000018836887,0.000012467389,0.0017731262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998116,0.00003372023,0.000013753682,0.000048446487,0.00006530276,0.000027238812],"domain_scores_gemma":[0.9997272,0.00009815478,0.00007627596,0.000027198017,0.00005524282,0.000015850777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004496162,0.0006566084,0.0004642323,0.00022684365,0.00045547544,0.000534767,0.00070619764,0.00066824775,0.00063153286],"category_scores_gemma":[0.00076352654,0.00028864606,0.00034035358,0.0003374839,0.00055261457,0.0004736687,0.00055641995,0.00051301235,0.00014099706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016846796,0.00005569568,0.00053489045,0.00009782954,0.000047149093,0.00019638975,0.00010957331,0.858263,0.032918643,0.003942593,0.00059123104,0.10307446],"study_design_scores_gemma":[0.000013175458,0.00007898982,0.00027607413,0.000003858822,0.000008086289,0.000030347266,0.000004454588,0.9972984,0.0013027394,0.00064809405,0.00032904485,0.0000066861217],"about_ca_topic_score_codex":0.0053923624,"about_ca_topic_score_gemma":0.0050284066,"teacher_disagreement_score":0.0053923624,"about_ca_system_score_codex":0.0003583803,"about_ca_system_score_gemma":0.0003850365,"threshold_uncertainty_score":0.0107219815},"labels":[],"label_agreement":null},{"id":"W2157813831","doi":"10.1109/icca.2009.5410349","title":"Near optimal LQR step tracking for a finite set of LTI plants","year":2009,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Nonlinear system; Tracking (education); Controller (irrigation); Set (abstract data type); Computer science; Optimal control; Finite set; Control engineering; Mathematics; Mathematical optimization; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.017028585541414627,"score_gpt":0.24522836573782458,"score_spread":0.22819978019640996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157813831","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20154889,0.00018012978,0.793635,0.0001677736,0.000015695585,0.00004211889,0.00003642935,0.00046353205,0.0039103567],"genre_scores_gemma":[0.9818174,0.00004350555,0.017375514,0.000022412025,0.0000038157254,0.000042008804,0.000024806004,0.0000112266725,0.0006591449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965644,0.0001047407,0.000020315563,0.00005803161,0.000116303934,0.000044228356],"domain_scores_gemma":[0.9988971,0.0006319137,0.00022984346,0.00012058791,0.00009059186,0.00002994254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009572602,0.00030334655,0.00038271747,0.00022146727,0.00028142944,0.0004968454,0.00045506246,0.0005752561,0.0010591904],"category_scores_gemma":[0.0028837218,0.00021103151,0.00035860977,0.00014038998,0.0008363592,0.0006019134,0.00047695075,0.0004917589,0.00014977384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000935783,0.000051255556,0.00082277204,0.000110768924,0.000033445223,0.00020527813,0.00019635058,0.9518232,0.012336862,0.016642857,0.0001819871,0.017501647],"study_design_scores_gemma":[0.000014728138,0.00012221221,0.00025165148,0.000007664752,0.0000075193625,0.000025197678,0.000025569867,0.98987484,0.0031485178,0.006285453,0.00023008558,0.0000065277477],"about_ca_topic_score_codex":0.0012681464,"about_ca_topic_score_gemma":0.00094246597,"teacher_disagreement_score":0.0012681464,"about_ca_system_score_codex":0.00035037947,"about_ca_system_score_gemma":0.00042584643,"threshold_uncertainty_score":0.00506258},"labels":[],"label_agreement":null},{"id":"W2158809583","doi":"10.1109/cca.1993.348210","title":"A modified model reference adaptive control algorithm for DC servomotor","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Servomotor; Control theory (sociology); PID controller; Adaptive control; Convergence (economics); Controller (irrigation); Computer science; Lyapunov stability; DC motor; Stability (learning theory); Control engineering; Algorithm; Engineering; Control (management); Artificial intelligence; Temperature control","score_opus":0.03653256882441343,"score_gpt":0.21879824151606464,"score_spread":0.18226567269165123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158809583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003738702,0.00034223148,0.9925996,0.00007237958,0.00009318243,0.000033632386,0.000015944554,0.0006611334,0.0024431127],"genre_scores_gemma":[0.4528182,0.00068798446,0.52961797,0.00020119845,0.0001223,0.00029806723,0.00016119755,0.00014392566,0.01594921],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979395,0.000029284674,0.000010554564,0.000062682666,0.00008803027,0.000015442538],"domain_scores_gemma":[0.9998672,0.000025270328,0.000016304828,0.000018504395,0.000065306835,0.000007405659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023162964,0.00047744816,0.00040446164,0.0002472345,0.0002792229,0.0004978798,0.0008716779,0.0006227004,0.002447941],"category_scores_gemma":[0.0005884133,0.00016621113,0.00027128623,0.00027595786,0.00024094891,0.00042361653,0.0003608466,0.00062340643,0.00077017647],"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":[0.00013873678,0.000056066914,0.00034273425,0.00020981817,0.000051988205,0.00012830283,0.000115065755,0.28458926,0.04452556,0.022892274,0.004965513,0.64198464],"study_design_scores_gemma":[0.000026227637,0.00009856045,0.00013949648,0.000009421648,0.000008291193,0.000078645666,0.0000056828667,0.98314327,0.004132807,0.0015354595,0.010809038,0.000013061303],"about_ca_topic_score_codex":0.0035555186,"about_ca_topic_score_gemma":0.0023733452,"teacher_disagreement_score":0.0035555186,"about_ca_system_score_codex":0.0003075058,"about_ca_system_score_gemma":0.00042162114,"threshold_uncertainty_score":0.008189142},"labels":[],"label_agreement":null},{"id":"W2159827439","doi":"10.1002/aic.13840","title":"Deterministic vs. stochastic performance assessment of iterative learning control for batch processes","year":2012,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Iterative learning control; Benchmark (surveying); Computer science; Control theory (sociology); Batch processing; Mathematical optimization; Work (physics); Control (management); Mathematics; Engineering; Artificial intelligence","score_opus":0.010019900473675836,"score_gpt":0.2634249789735785,"score_spread":0.2534050784999027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159827439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2872997,0.00051280414,0.70584494,0.00015619118,0.000024696566,0.00007895985,0.000040240382,0.000269772,0.0057727485],"genre_scores_gemma":[0.99136215,0.00003990305,0.0083368635,0.00001026921,0.0000046289874,0.00002637901,0.000016929404,0.000009798043,0.00019307609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976554,0.0007859494,0.00014004161,0.00028076212,0.0009616759,0.00017610325],"domain_scores_gemma":[0.9935774,0.00394922,0.0009270989,0.00044107658,0.0010198973,0.00008532412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046962495,0.0007183638,0.00053535047,0.0007459433,0.0003402924,0.0011456442,0.000664334,0.00082984136,0.00048535425],"category_scores_gemma":[0.012001254,0.00026615948,0.0005507662,0.00042232365,0.0010543319,0.00087981543,0.0009240452,0.00072920724,0.000087965316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003182634,0.000075470285,0.0017749842,0.00009668109,0.000035330067,0.000037800568,0.000082078,0.9530828,0.010417572,0.005027269,0.00013255834,0.028919134],"study_design_scores_gemma":[0.0000056242106,0.00015202897,0.000999204,0.000005413602,0.000006547361,0.000010384816,0.000008583523,0.99204636,0.0053568627,0.001337075,0.000057101137,0.0000149728],"about_ca_topic_score_codex":0.0024353873,"about_ca_topic_score_gemma":0.00095429784,"teacher_disagreement_score":0.0046962495,"about_ca_system_score_codex":0.0011091316,"about_ca_system_score_gemma":0.0008108786,"threshold_uncertainty_score":0.024836421},"labels":[],"label_agreement":null},{"id":"W2160131275","doi":"10.1109/cca.2005.1507285","title":"Adaptive regulation of the flying height in hard disk drives","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Flying height; Hard disk drive performance characteristics; Vibration; Computer science; Head (geology); Control theory (sociology); Simulation; Automotive engineering; Acoustics; Mechanical engineering; Engineering; Physics; Computer hardware; Geology; Slider; Artificial intelligence; Control (management)","score_opus":0.007575944168385982,"score_gpt":0.18775591222863103,"score_spread":0.18017996806024505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160131275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30144945,0.00050080597,0.6933189,0.00016635278,0.00006677801,0.000036527945,0.000019045312,0.00040589063,0.004036371],"genre_scores_gemma":[0.9929054,0.00006467029,0.006498541,0.00001592855,0.000009891007,0.000008958963,0.0000051943553,0.000003555272,0.00048782796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998733,0.00002263167,0.000006020783,0.000026081656,0.000055996243,0.000015904185],"domain_scores_gemma":[0.99973065,0.00013100092,0.000044315664,0.000018750176,0.00006426845,0.000010983865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018763651,0.00016413396,0.0001453393,0.00009910565,0.00015543005,0.00023457801,0.00032208627,0.00023842462,0.0002182092],"category_scores_gemma":[0.00085171004,0.00008277959,0.00010276467,0.000079839876,0.0002974972,0.0001475143,0.00022502767,0.00022122795,0.000056476223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023216895,0.000093413815,0.0022777645,0.00013732525,0.000037338363,0.00019771047,0.0003483712,0.6416554,0.1457047,0.006510812,0.00089305534,0.20191191],"study_design_scores_gemma":[0.000013236849,0.00010624242,0.00083007436,0.000003758701,0.0000056396757,0.00002407858,0.000014464677,0.9906729,0.0072571775,0.0007045264,0.00036026863,0.000007688626],"about_ca_topic_score_codex":0.0027185099,"about_ca_topic_score_gemma":0.0016933639,"teacher_disagreement_score":0.0027185099,"about_ca_system_score_codex":0.00018549403,"about_ca_system_score_gemma":0.0001515025,"threshold_uncertainty_score":0.0054053664},"labels":[],"label_agreement":null},{"id":"W2163046293","doi":"10.1109/icarcv.2006.345098","title":"Comparison of Control Approaches For Tracking Control of a 3 DOF Parallel Robot: Experimental Results","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Trajectory; PID controller; Kinematics; Robot; Adaptive control; Synchronization (alternating current); Computer science; Robot control; Tracking (education); Control engineering; Robot end effector; Robot kinematics; Parallel manipulator; Control system; Control (management); Mobile robot; Engineering; Artificial intelligence; Temperature control; Physics","score_opus":0.041756161195314244,"score_gpt":0.2776789890106553,"score_spread":0.23592282781534105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163046293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8448619,0.0004448682,0.14934334,0.0000989431,0.000050405426,0.00041454527,0.00011790036,0.0008898848,0.0037782863],"genre_scores_gemma":[0.96193993,0.0001752271,0.0363726,0.000028708726,0.000011012417,0.00024687193,0.00009781005,0.000034833367,0.001092969],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999398,0.000120887016,0.000070256225,0.000096633274,0.00024379614,0.00007039908],"domain_scores_gemma":[0.9986602,0.0004929402,0.00015321295,0.0002683714,0.00037084625,0.00005446122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010455413,0.00055019587,0.00046098058,0.00043260056,0.00036545726,0.00028079853,0.0006569612,0.00065217604,0.0013941309],"category_scores_gemma":[0.0022294384,0.0002190052,0.00030434565,0.00032538467,0.0004733532,0.00051021826,0.00051985285,0.00040182925,0.00018380876],"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":[0.002658926,0.0026067367,0.0023115186,0.0014881777,0.00015678308,0.0003148494,0.0006884335,0.1197054,0.68045855,0.0011185345,0.00048722618,0.18800491],"study_design_scores_gemma":[0.0005508938,0.019491373,0.007323514,0.000059750528,0.00014805599,0.00029154358,0.00030230565,0.19735467,0.77005696,0.00073523185,0.0035856112,0.00010006558],"about_ca_topic_score_codex":0.0011904938,"about_ca_topic_score_gemma":0.00096727296,"teacher_disagreement_score":0.0013941309,"about_ca_system_score_codex":0.00021550184,"about_ca_system_score_gemma":0.00032703512,"threshold_uncertainty_score":0.0055294037},"labels":[],"label_agreement":null},{"id":"W2163116163","doi":"10.1109/iecon.1992.254423","title":"An adaptive pole shifting algorithm for reference tracking","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Robustness (evolution); Computer science; Closed loop; Control theory (sociology); Tracking (education); Reference model; Algorithm; SIGNAL (programming language); Full state feedback; Domain (mathematical analysis); Control engineering; Artificial intelligence; Mathematics; Control (management); Engineering","score_opus":0.025215014683313042,"score_gpt":0.25493777283887975,"score_spread":0.2297227581555667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163116163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016860685,0.000094193485,0.9958556,0.00002364146,0.00003852686,0.00002460394,0.000007837485,0.0005218069,0.00174766],"genre_scores_gemma":[0.11772786,0.00025730467,0.8732838,0.00009559211,0.00006136664,0.00015911147,0.00010268161,0.00014371783,0.008168571],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997886,0.000031667194,0.000011347507,0.00005658936,0.00009712884,0.000014768398],"domain_scores_gemma":[0.9998024,0.000049781043,0.00001833497,0.000041287803,0.000076773824,0.0000114236045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032184957,0.00053583237,0.0004281962,0.0005381266,0.00035656354,0.00048136333,0.0007909728,0.0006115504,0.0061366176],"category_scores_gemma":[0.0008385086,0.00019602894,0.00028209484,0.00048801387,0.00034096203,0.0005762887,0.0005053595,0.0006496478,0.0025460809],"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":[0.00011670545,0.00005771876,0.00021958892,0.0001235619,0.000026268435,0.00011740068,0.000113320384,0.08926847,0.046492342,0.029782651,0.0040063863,0.82967573],"study_design_scores_gemma":[0.00004951625,0.00012386024,0.00022199728,0.000025562784,0.00001715435,0.00027987716,0.000018482026,0.9424913,0.019746615,0.0089947805,0.028006442,0.000024480969],"about_ca_topic_score_codex":0.0007591958,"about_ca_topic_score_gemma":0.00079284125,"teacher_disagreement_score":0.0061366176,"about_ca_system_score_codex":0.0002475336,"about_ca_system_score_gemma":0.00037906604,"threshold_uncertainty_score":0.020529032},"labels":[],"label_agreement":null},{"id":"W2164031387","doi":"10.1109/acc.2003.1243396","title":"An adaptive search space based evolutionary algorithm with application to actuator hysteresis identification","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Crossover; Robustness (evolution); Actuator; Control theory (sociology); Hysteresis; Algorithm; Evolutionary algorithm; Computer science; Genetic algorithm; Parameter space; Search algorithm; Mathematics; Mathematical optimization; Artificial intelligence; Physics; Statistics; Control (management)","score_opus":0.006099080519995771,"score_gpt":0.22347699725005657,"score_spread":0.2173779167300608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164031387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017153647,0.00022120585,0.98068845,0.00009517193,0.000031982596,0.00003030102,0.0000063531597,0.0001645459,0.0016083217],"genre_scores_gemma":[0.3890253,0.0003223376,0.60718596,0.000118889606,0.00004704272,0.00019192832,0.00003743272,0.000053362077,0.0030177564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974567,0.00008761456,0.000013999891,0.000033693,0.000102333375,0.000016677368],"domain_scores_gemma":[0.99953425,0.000272624,0.000032100765,0.000035695746,0.00010901751,0.000016319495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066913135,0.00034872474,0.00046004597,0.0005177941,0.00026852638,0.00038131757,0.0005922528,0.0006441879,0.00089593703],"category_scores_gemma":[0.002303369,0.00016595649,0.00031819518,0.00055709074,0.0004674539,0.0004549738,0.0005241942,0.00052440586,0.00014182106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007752805,0.00006396464,0.0013068544,0.00009169444,0.00006765439,0.00013851034,0.00015052027,0.69698083,0.009944106,0.022518821,0.0006423907,0.26801714],"study_design_scores_gemma":[0.0000150276555,0.00005897643,0.00018245314,0.000006741756,0.000009274123,0.000054736724,0.00000889877,0.9940433,0.0012648801,0.002613467,0.0017366147,0.000005741709],"about_ca_topic_score_codex":0.0011722188,"about_ca_topic_score_gemma":0.00088936754,"teacher_disagreement_score":0.0011722188,"about_ca_system_score_codex":0.00020067785,"about_ca_system_score_gemma":0.00031576035,"threshold_uncertainty_score":0.0035387874},"labels":[],"label_agreement":null},{"id":"W2166566560","doi":"10.5402/2013/476153","title":"Application of Online Iterative Learning Tracking Control for Quadrotor UAVs","year":2013,"lang":"en","type":"article","venue":"ISRN Robotics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Iterative learning control; Trajectory; Convergence (economics); Tracking (education); Computer science; Translation (biology); Control theory (sociology); Online learning; Control (management); Search and rescue; Control engineering; Artificial intelligence; Engineering; Robot; Physics","score_opus":0.00917514125690746,"score_gpt":0.23828077748047408,"score_spread":0.2291056362235666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166566560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061295494,0.00026811686,0.932959,0.00008893767,0.00004699496,0.000040839037,0.0000069919147,0.0003382143,0.0049552666],"genre_scores_gemma":[0.96668875,0.000113350776,0.03229265,0.00003275307,0.000010863874,0.00002704249,0.000008814109,0.000009079739,0.0008166538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979943,0.00004483796,0.000013598572,0.00004545753,0.000072881994,0.000023763625],"domain_scores_gemma":[0.9996439,0.00014601351,0.000063319036,0.00004389433,0.0000811029,0.000021773249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003332883,0.00034695014,0.0002639893,0.00021025122,0.0002308714,0.00037320756,0.0004622657,0.00030444926,0.00061159115],"category_scores_gemma":[0.00082350854,0.00010200956,0.00019069221,0.00018104364,0.00043699914,0.0002652872,0.00046805004,0.0003250368,0.000068823356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013821859,0.000110638895,0.0012883323,0.0001181054,0.000034036257,0.00026708524,0.00017534447,0.781,0.03404437,0.0073946905,0.00052505155,0.1749042],"study_design_scores_gemma":[0.0000071431346,0.00009308326,0.00014608122,0.0000033951555,0.0000033300687,0.000028461985,0.000007289649,0.9952247,0.0034125845,0.0005949233,0.0004754659,0.0000035205755],"about_ca_topic_score_codex":0.0024149122,"about_ca_topic_score_gemma":0.0014350271,"teacher_disagreement_score":0.0024149122,"about_ca_system_score_codex":0.00026811476,"about_ca_system_score_gemma":0.0003793531,"threshold_uncertainty_score":0.00480175},"labels":[],"label_agreement":null},{"id":"W2167125546","doi":"10.1109/ccece.2008.4564886","title":"Multirate model tracking control for linear-time invariant systems","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); LTI system theory; Computer science; Tracking (education); Trajectory; Sampling (signal processing); Control system; Invariant (physics); Linear system; Digital control; Control (management); Mathematics; Engineering; Artificial intelligence; Computer vision; Filter (signal processing); Electronic engineering","score_opus":0.020053675290429878,"score_gpt":0.1897706515601628,"score_spread":0.16971697626973292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167125546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004368817,0.00016865543,0.9938287,0.000032318592,0.000035669553,0.000012179794,0.000007791418,0.00025455578,0.0012912006],"genre_scores_gemma":[0.7968263,0.00069356104,0.19707312,0.00009305435,0.00009707047,0.00011595632,0.00009477862,0.0000859731,0.0049201483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949646,0.00010076736,0.000035719324,0.000088531124,0.00023676346,0.000041706306],"domain_scores_gemma":[0.9995468,0.000119645934,0.00013382836,0.00009461332,0.000087012806,0.000018063143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075318234,0.00053200003,0.0005505626,0.00030699465,0.00026660544,0.00085310993,0.00063255033,0.00047825146,0.001473578],"category_scores_gemma":[0.0016371828,0.00024190282,0.00044824273,0.00026368644,0.00043899263,0.0009144847,0.0008040376,0.0007304229,0.0004287525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019549654,0.000062945335,0.00047793103,0.0003774441,0.000057504112,0.00012319739,0.0002397239,0.62193805,0.02733498,0.070282966,0.0012344378,0.27767533],"study_design_scores_gemma":[0.000010974,0.000089794295,0.00010160162,0.000021244034,0.000007605195,0.00003754076,0.000006230754,0.9897507,0.0036477167,0.004160162,0.0021576418,0.000008708172],"about_ca_topic_score_codex":0.0012902165,"about_ca_topic_score_gemma":0.0010205718,"teacher_disagreement_score":0.001473578,"about_ca_system_score_codex":0.00033769486,"about_ca_system_score_gemma":0.00045046263,"threshold_uncertainty_score":0.004929602},"labels":[],"label_agreement":null},{"id":"W2168565901","doi":"10.1109/acc.2006.1657474","title":"Identification and cancellation of disturbances having two close sinusoidal components","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"SIGNAL (programming language); Control theory (sociology); Identification (biology); Computer science; Controller (irrigation); Magnitude (astronomy); Algorithm; Loop (graph theory); Phase (matter); Mathematics; Control (management); Physics; Artificial intelligence","score_opus":0.004577476563605529,"score_gpt":0.20390027294095944,"score_spread":0.19932279637735392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168565901","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07629496,0.00020854594,0.9217399,0.000059577007,0.00005954525,0.00002865362,0.000009212479,0.0001995499,0.0014000285],"genre_scores_gemma":[0.8585587,0.0002712615,0.1379403,0.000080026606,0.00007271289,0.000036398545,0.000066624765,0.000051085608,0.002922921],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994286,0.0000638296,0.000027404792,0.00013095509,0.00028357605,0.00006571291],"domain_scores_gemma":[0.9991462,0.0003855232,0.00016857768,0.00009592121,0.00016075259,0.000043004795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049508386,0.00059572665,0.0010205421,0.00044688306,0.00032820104,0.0006375414,0.00040494502,0.0008207838,0.0009516018],"category_scores_gemma":[0.0031828496,0.00032028332,0.0003981093,0.00033057856,0.00044729435,0.0006434188,0.00086559705,0.00067125383,0.0003802824],"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":[0.0007424246,0.00017965354,0.0027051172,0.0004564117,0.000092810995,0.0008248219,0.0005321137,0.17967637,0.20957206,0.009752419,0.0006402951,0.59482545],"study_design_scores_gemma":[0.00010875635,0.0006493101,0.0037183852,0.000039369752,0.000057537123,0.00087018695,0.00016327617,0.9096551,0.071208976,0.009868619,0.0036122375,0.000048388687],"about_ca_topic_score_codex":0.00055502215,"about_ca_topic_score_gemma":0.00052949414,"teacher_disagreement_score":0.0010205421,"about_ca_system_score_codex":0.00014537021,"about_ca_system_score_gemma":0.000301108,"threshold_uncertainty_score":0.0031833649},"labels":[],"label_agreement":null},{"id":"W2170583707","doi":"10.1109/isie.2006.296114","title":"FPGA Implementation of Neural Network Based Adaptive Control of a Flexible Joint with Hard Nonlinearities","year":2006,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Trois-Rivières","funders":"","keywords":"Field-programmable gate array; Computer science; Controller (irrigation); Artificial neural network; Control theory (sociology); Adaptive control; Position (finance); Control engineering; Embedded system; Engineering; Artificial intelligence; Control (management)","score_opus":0.010751117506425193,"score_gpt":0.21377320811937636,"score_spread":0.20302209061295118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170583707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2011799,0.0007864882,0.75268143,0.00030634966,0.00051810395,0.0002416981,0.00023305498,0.0080618495,0.035991248],"genre_scores_gemma":[0.8923264,0.00016721117,0.09893155,0.00008399402,0.000035048863,0.000110283465,0.00012387565,0.00004646325,0.008175286],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998721,0.000020569158,0.000008661397,0.000023797375,0.000054426724,0.000020309484],"domain_scores_gemma":[0.99987113,0.0000336558,0.000011134528,0.000019154966,0.000057080455,0.000007867001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001655435,0.00033276287,0.00023318232,0.00025025714,0.00021772725,0.00038597232,0.0006049163,0.00029194233,0.0035187425],"category_scores_gemma":[0.00033042542,0.00013218989,0.00012878551,0.00018772813,0.00015790113,0.00017136194,0.00012729538,0.0002817105,0.00049770426],"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":[0.00077159225,0.00022614947,0.0019793634,0.00057973433,0.00015032898,0.0008675836,0.00021349234,0.31146777,0.1655971,0.008825582,0.008024587,0.50129676],"study_design_scores_gemma":[0.00013804057,0.0005213563,0.0020848692,0.000042492797,0.000047180387,0.00029042986,0.000025440919,0.9158833,0.07049134,0.0008006425,0.0096470155,0.000027942873],"about_ca_topic_score_codex":0.0040281694,"about_ca_topic_score_gemma":0.0045689126,"teacher_disagreement_score":0.0040281694,"about_ca_system_score_codex":0.00036665582,"about_ca_system_score_gemma":0.0003784093,"threshold_uncertainty_score":0.011771321},"labels":[],"label_agreement":null},{"id":"W2171486325","doi":"10.1109/robot.1998.677025","title":"Stable, online learning using CMACs for neuroadaptive tracking control of flexible-joint manipulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Research Institute of Petroleum Industry","keywords":"Backstepping; Computer science; Artificial neural network; Robot; Stability (learning theory); Control engineering; Control theory (sociology); Artificial intelligence; Content-addressable memory; Adaptive control; Content-addressable storage; Joint (building); Engineering; Control (management); Machine learning","score_opus":0.05995137912166514,"score_gpt":0.2475270246718288,"score_spread":0.18757564555016365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171486325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046880253,0.00040504607,0.9488473,0.00014675416,0.00006317189,0.000028631515,0.000013924774,0.00057496916,0.0030399135],"genre_scores_gemma":[0.9102102,0.00019308015,0.086367674,0.00006317251,0.000036576927,0.00008579457,0.000029857601,0.000027770006,0.0029859669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987173,0.000027894312,0.000007841599,0.000025378882,0.000053417432,0.000013728902],"domain_scores_gemma":[0.999754,0.000083782754,0.000043737033,0.00002948887,0.000076712364,0.000012184978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037794872,0.0003187754,0.00027140422,0.00019639789,0.00029275508,0.0002964468,0.00066544005,0.00042242088,0.00085246185],"category_scores_gemma":[0.0009140056,0.00016388984,0.00019507913,0.0002736382,0.00040852785,0.0003811598,0.00043836096,0.00062320236,0.0001982613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001256523,0.000056306977,0.0005034024,0.00010423302,0.000039083763,0.00008896819,0.00008738379,0.72581613,0.027526889,0.019165264,0.0011339242,0.22535278],"study_design_scores_gemma":[0.000008319006,0.00004650548,0.000103157836,0.0000027157819,0.000004781811,0.000019435907,0.0000027334377,0.99558324,0.002235904,0.001394371,0.0005937838,0.00000506984],"about_ca_topic_score_codex":0.0030555164,"about_ca_topic_score_gemma":0.0039531556,"teacher_disagreement_score":0.0030555164,"about_ca_system_score_codex":0.0002743733,"about_ca_system_score_gemma":0.00055293593,"threshold_uncertainty_score":0.006075442},"labels":[],"label_agreement":null},{"id":"W2180051414","doi":"10.1016/j.automatica.2004.01.026","title":"Adaptive iterative learning control for robot manipulators","year":2004,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":459,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Trajectory; Variable (mathematics); Computer science; Controller (irrigation); Robot; Iterative method; Mathematics; Control (management); Mathematical optimization; Artificial intelligence","score_opus":0.009313447169104387,"score_gpt":0.2157647180613055,"score_spread":0.2064512708922011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180051414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020945901,0.00059823727,0.97282267,0.00017000418,0.00007066845,0.000022510889,0.000010172109,0.00025380313,0.0051060608],"genre_scores_gemma":[0.8632804,0.00070797105,0.11867911,0.00010842313,0.00013654225,0.00017840647,0.000058538044,0.00007442253,0.01677611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996939,0.000072671224,0.000013760038,0.000048027345,0.00013989363,0.000031800555],"domain_scores_gemma":[0.9994591,0.00024573898,0.000085375985,0.000042544016,0.00014458186,0.000022697845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025103,0.0005139366,0.00043929592,0.00033140593,0.0004787244,0.0005545346,0.0009264391,0.0008944643,0.0026543632],"category_scores_gemma":[0.0020652402,0.00029452745,0.0003328739,0.0004226946,0.0009180173,0.0006228381,0.00085189915,0.0008809558,0.00043001547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012872426,0.000065464505,0.00030149965,0.00015312078,0.00004721391,0.00013371237,0.0002698479,0.75795823,0.014650952,0.04914872,0.0022727577,0.17486966],"study_design_scores_gemma":[0.000019065894,0.00006861912,0.00013940295,0.000007356785,0.0000065471418,0.0000292022,0.000010897204,0.978933,0.001067616,0.018419689,0.0012876109,0.000011001037],"about_ca_topic_score_codex":0.0041310326,"about_ca_topic_score_gemma":0.0029386126,"teacher_disagreement_score":0.0041310326,"about_ca_system_score_codex":0.00046704744,"about_ca_system_score_gemma":0.0005219541,"threshold_uncertainty_score":0.008879781},"labels":[],"label_agreement":null},{"id":"W2186327316","doi":"10.1007/1-4020-3268-4_34","title":"Delay Equations with Fluctuating Delay: Application to Variable Speed Machining","year":2005,"lang":"en","type":"book-chapter","venue":"Solid mechanics and its applications","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":"University of Alberta","funders":"","keywords":"Variable (mathematics); Machining; Control theory (sociology); Computer science; Mathematics; Mechanical engineering; Engineering; Mathematical analysis; Artificial intelligence; Control (management)","score_opus":0.009152905170730969,"score_gpt":0.22370493935510355,"score_spread":0.21455203418437258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186327316","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014422697,0.0045692776,0.96339715,0.00051963865,0.00055267883,0.000028401746,0.00006926221,0.00016721664,0.016273698],"genre_scores_gemma":[0.6383898,0.011015972,0.24860767,0.0004059665,0.0007141506,0.00012552938,0.00022042358,0.00025909382,0.10026136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991345,0.000012782324,0.0000052545774,0.000015939142,0.00004567801,0.0000069192743],"domain_scores_gemma":[0.99976546,0.00012882335,0.000024756262,0.0000152262255,0.000054538756,0.000011082609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026253075,0.00057406543,0.00050856307,0.00031368373,0.00026798414,0.000723728,0.00093402056,0.0011002414,0.0025441707],"category_scores_gemma":[0.0011676613,0.00036088907,0.00041624007,0.00080237945,0.00069366494,0.0010113356,0.0005087187,0.0013653927,0.00028351927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046576657,0.000048783342,0.0002933638,0.00019169899,0.000021361006,0.00016118497,0.00016254866,0.46211427,0.0099879755,0.44322667,0.0060420916,0.0777035],"study_design_scores_gemma":[0.000010999759,0.000021292337,0.000118449185,0.000011869135,0.000009247852,0.00007683556,0.000017220857,0.91065514,0.0013915021,0.078569874,0.009103385,0.000014154646],"about_ca_topic_score_codex":0.0024576331,"about_ca_topic_score_gemma":0.0028352882,"teacher_disagreement_score":0.0025441707,"about_ca_system_score_codex":0.0006995168,"about_ca_system_score_gemma":0.00055856194,"threshold_uncertainty_score":0.008511066},"labels":[],"label_agreement":null},{"id":"W2272370463","doi":"10.1007/s11431-011-4561-3","title":"Double-loop robust tracking control for micro machine tools","year":2011,"lang":"en","type":"article","venue":"Science in China. Series E, Technological sciences/Science in China. Series E, Technological Sciences","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":"University of British Columbia","funders":"","keywords":"Control theory (sociology); PID controller; Inner loop; Robust control; Residual; Loop (graph theory); Tracking error; Tracking (education); Control engineering; Controller (irrigation); Integrator; Robustness (evolution); Computer science; Control system; Engineering; Bandwidth (computing); Control (management); Mathematics; Temperature control; Artificial intelligence","score_opus":0.04592567568591745,"score_gpt":0.2707998277395376,"score_spread":0.22487415205362016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272370463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032797035,0.0006233548,0.9625361,0.00012212699,0.00016857979,0.000039149334,0.000026885678,0.00063721597,0.0030495303],"genre_scores_gemma":[0.9697546,0.00018299869,0.025309097,0.000033459844,0.0000370401,0.00005794988,0.000041104846,0.000038283102,0.00454559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977154,0.000032750162,0.00001870579,0.000056277215,0.00009641417,0.00002427124],"domain_scores_gemma":[0.9995517,0.00015999086,0.000107754335,0.00004018161,0.00012676226,0.000013613833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048692935,0.0004400927,0.0005249795,0.00033548207,0.00027726093,0.0007878603,0.0006643384,0.00052736356,0.0020793541],"category_scores_gemma":[0.0013085185,0.00027603103,0.0002734848,0.00024421813,0.00035434228,0.0005447821,0.000635663,0.00044513016,0.00040997664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005306126,0.00011610636,0.0003483551,0.00042647775,0.00007352098,0.00015069521,0.00014518833,0.6338051,0.06957749,0.011646635,0.0026013362,0.28057852],"study_design_scores_gemma":[0.000018800818,0.00019415154,0.00021563149,0.000008434668,0.000008320039,0.000024559244,0.0000066272564,0.9911197,0.005735911,0.0014777584,0.0011826041,0.000007504625],"about_ca_topic_score_codex":0.0015523281,"about_ca_topic_score_gemma":0.0014005456,"teacher_disagreement_score":0.0020793541,"about_ca_system_score_codex":0.00031672456,"about_ca_system_score_gemma":0.000304276,"threshold_uncertainty_score":0.00695616},"labels":[],"label_agreement":null},{"id":"W2272848107","doi":"10.1007/978-3-642-16259-6_13","title":"Robust Design of 2nd Order Terminal ILC Using μ-Analysis and a Genetic Algorithm Approach","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in intelligent and soft computing","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":"McGill University; École de Technologie Supérieure","funders":"","keywords":"Robustness (evolution); Thermoforming; Control theory (sociology); Terminal (telecommunication); Temperature control; Robust control; Iterative learning control; Genetic algorithm; Loop (graph theory); Algorithm; Engineering; Computer science; Control system; Control engineering; Mathematics; Mechanical engineering; Control (management); Mathematical optimization; Artificial intelligence; Chemistry","score_opus":0.022123683725919812,"score_gpt":0.23998143104724548,"score_spread":0.21785774732132568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272848107","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049837865,0.0002264422,0.99031395,0.00006161478,0.000059999955,0.000034949433,0.000021735414,0.00024514872,0.004052348],"genre_scores_gemma":[0.67096573,0.00045646852,0.3161726,0.00020148356,0.00010142144,0.00039879789,0.00015139677,0.0002178727,0.011334144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949753,0.00009628825,0.000030794217,0.00011443239,0.00019631827,0.00006467854],"domain_scores_gemma":[0.99935085,0.00030362443,0.00009343496,0.000052228046,0.00018337465,0.000016610396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001239175,0.0014009839,0.0014514116,0.00055334106,0.0006083423,0.0018363554,0.001279447,0.0015642167,0.0038342187],"category_scores_gemma":[0.0017426328,0.0006379821,0.0010637514,0.0006285075,0.0008280441,0.000823574,0.00088056555,0.0015551213,0.0008094608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013391091,0.00004875558,0.00013334089,0.00023019056,0.00006052334,0.00008156035,0.00012609782,0.9044835,0.009960819,0.013908208,0.0011188526,0.069714166],"study_design_scores_gemma":[0.000010769103,0.000064668064,0.00005784973,0.000015916521,0.000009857417,0.000015159897,0.000005964212,0.99512357,0.0021836334,0.0017501132,0.0007537056,0.000008760079],"about_ca_topic_score_codex":0.0035383652,"about_ca_topic_score_gemma":0.003432594,"teacher_disagreement_score":0.0038342187,"about_ca_system_score_codex":0.0010085078,"about_ca_system_score_gemma":0.0013490488,"threshold_uncertainty_score":0.012826741},"labels":[],"label_agreement":null},{"id":"W2298318144","doi":"10.1109/cdc.2016.7798976","title":"Distributed iterative learning control for a team of quadrotors","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Iterative learning control; Computer science; Trajectory; Control theory (sociology); Controller (irrigation); Stability (learning theory); Feed forward; Tracking error; Function (biology); Scalar (mathematics); Mathematical proof; Control engineering; Control (management); Artificial intelligence; Mathematics; Engineering; Machine learning","score_opus":0.0075393810028824915,"score_gpt":0.2323966584519573,"score_spread":0.22485727744907483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298318144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09192239,0.00019550761,0.9028607,0.0002372875,0.000056665984,0.000055244098,0.000025840216,0.00026306568,0.0043832916],"genre_scores_gemma":[0.9719297,0.0000562115,0.025908021,0.00002960257,0.000010622984,0.000056996,0.000019914654,0.000011614875,0.0019771848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964666,0.00007560926,0.000017344699,0.00012188045,0.00008046231,0.000058016103],"domain_scores_gemma":[0.99930084,0.00026962598,0.00015214804,0.00006620172,0.00014867088,0.00006248295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071360084,0.00052331283,0.0004981654,0.00022984811,0.00038424245,0.0005696426,0.00074766664,0.00049203343,0.0011856304],"category_scores_gemma":[0.0014928565,0.00020499478,0.00031873374,0.00023249678,0.00079513714,0.00043589642,0.0010322315,0.00060261483,0.00016588118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009798548,0.000042896183,0.00051263935,0.0000454666,0.000021996782,0.00012336846,0.00009396286,0.9693597,0.0070174085,0.004669762,0.00025403625,0.017760757],"study_design_scores_gemma":[0.000010645788,0.00004579441,0.00008236409,0.0000015995012,0.0000023594187,0.000008801973,0.0000072413695,0.99811244,0.0005512922,0.0010037445,0.00017139585,0.000002330281],"about_ca_topic_score_codex":0.0063188868,"about_ca_topic_score_gemma":0.0029815102,"teacher_disagreement_score":0.0063188868,"about_ca_system_score_codex":0.0007649489,"about_ca_system_score_gemma":0.00066350226,"threshold_uncertainty_score":0.012564242},"labels":[],"label_agreement":null},{"id":"W2302302208","doi":"10.1049/iet-cta.2015.0824","title":"Data‐driven optimal terminal iterative learning control with initial value dynamic compensation","year":2016,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Iterative learning control; Control theory (sociology); Convergence (economics); Optimal control; Process (computing); Initial value problem; Terminal (telecommunication); Compensation (psychology); Computer science; Mathematical optimization; Batch processing; Iterative method; Control (management); Mathematics; Artificial intelligence","score_opus":0.006645607286933961,"score_gpt":0.24619992005866798,"score_spread":0.239554312771734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302302208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016896764,0.00017155854,0.9794989,0.00008203374,0.000037563907,0.000047250414,0.000012880259,0.00020873723,0.0030442877],"genre_scores_gemma":[0.945734,0.00012383657,0.051334523,0.00007277824,0.000019708294,0.00013623138,0.000048539052,0.000020316613,0.0025099753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994729,0.000098845994,0.00003588315,0.00011439303,0.0002087467,0.00006929691],"domain_scores_gemma":[0.9991442,0.00034361926,0.00013179432,0.00006235048,0.0002892313,0.000028733664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009456474,0.0007028941,0.00069396844,0.00035181874,0.00043702268,0.00084254716,0.0011189833,0.0008359198,0.0009537752],"category_scores_gemma":[0.0020609119,0.00027662143,0.00045677178,0.00041875418,0.0009834653,0.0006612206,0.000947633,0.0008831991,0.0001983063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017009313,0.00007025884,0.0005235556,0.00017051394,0.000032586886,0.000104440245,0.00017728259,0.89429843,0.0123361265,0.015740745,0.0007136811,0.07566228],"study_design_scores_gemma":[0.000008923279,0.000049981765,0.000060191396,0.00000489951,0.0000030175015,0.0000104946275,0.000003537054,0.99650735,0.0020195683,0.0010363809,0.00028879172,0.000006916886],"about_ca_topic_score_codex":0.003915088,"about_ca_topic_score_gemma":0.002577157,"teacher_disagreement_score":0.003915088,"about_ca_system_score_codex":0.00076645816,"about_ca_system_score_gemma":0.0011396599,"threshold_uncertainty_score":0.007784605},"labels":[],"label_agreement":null},{"id":"W2315934130","doi":"10.1109/tmech.2014.2298241","title":"Tracking and Structural Vibration Control of Flexible Ball–Screw Drives With Dynamic Variations","year":2014,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ball screw; Control theory (sociology); Vibration; Ball (mathematics); Controller (irrigation); Open-loop controller; Vibration control; Computer science; Feedback controller; Control engineering; Engineering; Mechanical engineering; Control (management); Acoustics; Physics; Mathematics; Artificial intelligence","score_opus":0.0036511900425871264,"score_gpt":0.19754414604263115,"score_spread":0.19389295600004403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315934130","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14949812,0.00036892277,0.8469464,0.000081732316,0.000057856883,0.000029142444,0.000013046192,0.0002120414,0.0027927433],"genre_scores_gemma":[0.98041165,0.00008599748,0.018422501,0.000011863086,0.000014602621,0.00001730859,0.000012552557,0.0000067435244,0.0010168416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998474,0.00001845507,0.0000067488177,0.00003502304,0.00007934744,0.000012946631],"domain_scores_gemma":[0.9998565,0.00004633138,0.000032641656,0.000014525634,0.00004161801,0.000008348182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016823708,0.0002743011,0.00022187605,0.00012343047,0.00019101342,0.00024958825,0.0004214676,0.00023322324,0.00059133454],"category_scores_gemma":[0.00040811667,0.00014862447,0.00017015172,0.00012175753,0.00026320847,0.00024900047,0.00025265242,0.00024887017,0.00009653759],"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":[0.0005067752,0.00012395137,0.0013818434,0.00024533618,0.00007392733,0.00026968584,0.00024917116,0.3755531,0.26611024,0.009183115,0.00071809965,0.34558478],"study_design_scores_gemma":[0.000034998975,0.00030736733,0.0012238763,0.000005269999,0.000011996458,0.000084333005,0.000016751745,0.97855926,0.01644552,0.001477602,0.0018231432,0.000010054539],"about_ca_topic_score_codex":0.0013003778,"about_ca_topic_score_gemma":0.0014300178,"teacher_disagreement_score":0.0013003778,"about_ca_system_score_codex":0.0001494071,"about_ca_system_score_gemma":0.00020142355,"threshold_uncertainty_score":0.0025856495},"labels":[],"label_agreement":null},{"id":"W2329527513","doi":"10.2514/6.2007-6471","title":"An Iterative Learning Control Algorithm for Simulator Motion System Control","year":2007,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Iterative learning control; Motion control; Control (management); Motion (physics); Algorithm; Control system; Iterative method; Simulation; Artificial intelligence; Engineering; Robot","score_opus":0.01345303226479632,"score_gpt":0.24679719577674256,"score_spread":0.23334416351194623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329527513","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037887585,0.00011318987,0.99370956,0.000058767793,0.000028533936,0.000055568904,0.0000061936607,0.0003891498,0.0018502895],"genre_scores_gemma":[0.6143807,0.00025224447,0.37745494,0.0001797684,0.00007202929,0.00070306775,0.00009273173,0.000101181846,0.0067633064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936336,0.00015388333,0.00003892532,0.00011939613,0.00024523388,0.00007920963],"domain_scores_gemma":[0.99908876,0.00043351934,0.000098817516,0.00005608025,0.00028312652,0.00003971311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013048048,0.0009875651,0.00084819715,0.0005097465,0.00056173035,0.0007954055,0.0015889383,0.0011601157,0.0030130337],"category_scores_gemma":[0.0029044792,0.0003963352,0.0005374293,0.00044622878,0.0009404128,0.00067680905,0.0012007727,0.0014204091,0.000701767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010329786,0.00006837065,0.0003482518,0.00007662819,0.00003451404,0.000057095374,0.00014723945,0.8292575,0.0031249602,0.0100722015,0.0011582981,0.15555158],"study_design_scores_gemma":[0.000013727952,0.000050681192,0.00003225486,0.000004785564,0.0000030637248,0.00001111821,0.0000033123795,0.99783176,0.00043379824,0.0010157566,0.0005950562,0.000004567022],"about_ca_topic_score_codex":0.008059964,"about_ca_topic_score_gemma":0.005245715,"teacher_disagreement_score":0.008059964,"about_ca_system_score_codex":0.0009934399,"about_ca_system_score_gemma":0.0014371969,"threshold_uncertainty_score":0.01602614},"labels":[],"label_agreement":null},{"id":"W2334323010","doi":"10.1115/imece2002-39333","title":"Some Experimental Considerations of Stage Control in Digital Valves","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Reset (finance); Magnetic reluctance; Nonlinear system; Servomotor; Stepper; Hysteresis; Integrator; Computer science; Engineering; Voltage; Magnet; Physics; Control (management); Mechanical engineering","score_opus":0.012540054549631625,"score_gpt":0.21528856597706614,"score_spread":0.20274851142743452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334323010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82131946,0.0020187967,0.1289771,0.0014684271,0.0006684902,0.0007943001,0.0012603354,0.00066070276,0.042832345],"genre_scores_gemma":[0.95747447,0.0005737558,0.035969928,0.00016120939,0.000064979125,0.00026576503,0.00030040857,0.000039551072,0.005150015],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991716,0.00018458461,0.0000709499,0.00013880419,0.0003268112,0.00010718257],"domain_scores_gemma":[0.99841,0.000883583,0.00011635604,0.00027208473,0.00027344888,0.000044423727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012069604,0.0002753114,0.00021844942,0.0003250318,0.0007534508,0.00082121254,0.0009329071,0.0007239328,0.0068515707],"category_scores_gemma":[0.00293544,0.00021544966,0.00030256296,0.0003305382,0.00083608873,0.00094866956,0.0004449365,0.0005814828,0.00041854143],"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":[0.0008761069,0.0005939501,0.0014397542,0.0004451358,0.00001595475,0.00025973553,0.00033305385,0.003476236,0.9624242,0.010204893,0.00069071725,0.019240342],"study_design_scores_gemma":[0.00013519838,0.0035316837,0.0048176367,0.000040228373,0.00003356584,0.00021814763,0.00019717583,0.018342026,0.9559385,0.0022652806,0.014426429,0.000054083554],"about_ca_topic_score_codex":0.0013377176,"about_ca_topic_score_gemma":0.00094136933,"teacher_disagreement_score":0.0068515707,"about_ca_system_score_codex":0.00071081566,"about_ca_system_score_gemma":0.0002435487,"threshold_uncertainty_score":0.022920847},"labels":[],"label_agreement":null},{"id":"W2334342870","doi":"10.3166/jesa.46.453-478","title":"Méthodes de synthèse de correcteurs robustes d’ordre réduit pour les boucles de stabilisation inertielle de Ligne de Visée","year":2012,"lang":"fr","type":"preprint","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.028777333405790178,"score_gpt":0.2651240388962102,"score_spread":0.23634670549042006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334342870","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012783717,0.00018250356,0.99663347,0.000048330272,0.00006588009,0.00003383296,0.000021263992,0.0003203694,0.0014159706],"genre_scores_gemma":[0.115323715,0.00083033944,0.866094,0.00015344906,0.00014460737,0.00042423952,0.0001709391,0.0006425264,0.016216163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850935,0.0002817382,0.00009797894,0.0002531943,0.00077935954,0.00007831187],"domain_scores_gemma":[0.9978607,0.0010517234,0.00021270361,0.0003336327,0.0004941957,0.000046928908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023536382,0.001770416,0.0012508377,0.0010245128,0.0006355518,0.0018066294,0.0011541821,0.0017530516,0.009819183],"category_scores_gemma":[0.0069399592,0.00089669105,0.0017048881,0.00061669643,0.0015293063,0.0012165873,0.0012283787,0.0032157002,0.0030018748],"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":[0.00030351878,0.00006699669,0.00059509295,0.0010220038,0.00022398969,0.00023322961,0.000528825,0.48918095,0.05633696,0.10375034,0.0022057176,0.34555238],"study_design_scores_gemma":[0.000098572826,0.00027840238,0.00047343163,0.00020994623,0.000106041836,0.00023236802,0.00010429372,0.8694926,0.051877834,0.037469275,0.0395542,0.00010312999],"about_ca_topic_score_codex":0.0027811313,"about_ca_topic_score_gemma":0.0033344293,"teacher_disagreement_score":0.009819183,"about_ca_system_score_codex":0.0009058793,"about_ca_system_score_gemma":0.0016289791,"threshold_uncertainty_score":0.032848418},"labels":[],"label_agreement":null},{"id":"W2338460402","doi":"10.1080/00207721.2016.1173742","title":"Model-independent position domain sliding mode control for contour tracking of robotic manipulator","year":2016,"lang":"en","type":"article","venue":"International Journal of Systems Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Feed forward; Sliding mode control; Robustness (evolution); Lyapunov stability; Lyapunov function; Nonlinear system; Position (finance); Variable structure control; Engineering; Computer science; Control engineering; Artificial intelligence; Control (management)","score_opus":0.019015662223162214,"score_gpt":0.2728411318216906,"score_spread":0.2538254695985284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338460402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017898016,0.00045106089,0.9791586,0.00005677894,0.00007342095,0.000025304633,0.000009837254,0.00023178523,0.0020952935],"genre_scores_gemma":[0.89521927,0.00060273387,0.10073089,0.00006599176,0.00005543407,0.00009602064,0.000055869743,0.000025208321,0.0031486962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998567,0.000018012623,0.0000087957205,0.000032533106,0.000075640295,0.000008227839],"domain_scores_gemma":[0.9998381,0.00004168557,0.00003315068,0.000022775115,0.000056610297,0.0000076066444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002777533,0.00039667898,0.00029104634,0.00019910128,0.00020077756,0.00030806952,0.00058263424,0.00038449382,0.0007274955],"category_scores_gemma":[0.0005193871,0.00013703831,0.00030106265,0.0001996861,0.00035178402,0.00040459604,0.00031141553,0.00043552427,0.0001422668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022159678,0.000114657414,0.0011510809,0.0005971971,0.00007583323,0.00035828716,0.00033762737,0.43251315,0.14019881,0.026492996,0.002100117,0.39583868],"study_design_scores_gemma":[0.000022381193,0.00020181206,0.00038104673,0.000014715563,0.000013704659,0.00007948493,0.000009332798,0.9860123,0.009213969,0.001492138,0.0025478255,0.000011249249],"about_ca_topic_score_codex":0.0007883737,"about_ca_topic_score_gemma":0.0007829664,"teacher_disagreement_score":0.0007883737,"about_ca_system_score_codex":0.00019558123,"about_ca_system_score_gemma":0.00029737866,"threshold_uncertainty_score":0.0024337173},"labels":[],"label_agreement":null},{"id":"W2350808687","doi":"","title":"The Design of Dynamic Friction Measure System of Rolling Linear Guides","year":2009,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Measure (data warehouse); Factory (object-oriented programming); Dynamical friction; Scheme (mathematics); Engineering; Series (stratigraphy); Linear relationship; Computer science; Mechanical engineering; Mathematics; Materials science; Geology; Data mining; Statistics","score_opus":0.009291783710240831,"score_gpt":0.2078514104490145,"score_spread":0.19855962673877367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350808687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018264884,0.00042281696,0.97475684,0.00013871165,0.00011895579,0.00022141382,0.000071409726,0.0015340992,0.00447088],"genre_scores_gemma":[0.6647923,0.0004320371,0.32507905,0.00019745514,0.000117686344,0.0005018495,0.00026028758,0.000075848555,0.008543484],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923813,0.00010229176,0.000044044966,0.00017698383,0.0003783812,0.00006009266],"domain_scores_gemma":[0.99951303,0.00005061943,0.000052375097,0.000049257153,0.000294975,0.000039609746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005222868,0.00050450786,0.00066859496,0.00050311734,0.0005557858,0.0006147751,0.0012520887,0.00068469706,0.0020199094],"category_scores_gemma":[0.0007928952,0.00037733023,0.00026671833,0.00036595945,0.00042897917,0.00067083974,0.0005202427,0.00040921406,0.0007987581],"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":[0.00074383215,0.00013437786,0.006062644,0.0013106555,0.00014210618,0.00053871586,0.0011448711,0.045987535,0.41812634,0.031110156,0.010899591,0.48379916],"study_design_scores_gemma":[0.0003869667,0.0034294878,0.012737746,0.00016758607,0.00030179246,0.0034209308,0.000306985,0.53641284,0.2976049,0.006291986,0.13859186,0.0003470696],"about_ca_topic_score_codex":0.001957328,"about_ca_topic_score_gemma":0.0013498667,"teacher_disagreement_score":0.0020199094,"about_ca_system_score_codex":0.00060884753,"about_ca_system_score_gemma":0.0010266702,"threshold_uncertainty_score":0.0067572594},"labels":[],"label_agreement":null},{"id":"W2359529830","doi":"","title":"Solving robust controller of pure unstable process usingmirror-injection method","year":2004,"lang":"en","type":"article","venue":"Systems engineering and electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Mathematics; Robust control; Complex plane; Minimum phase; Pole–zero plot; Phase plane; Plane (geometry); Singular value; Open-loop controller; Controller (irrigation); Closed loop; Control system; Phase (matter); Transfer function; Mathematical analysis; Engineering; Computer science; Geometry; Physics; Control engineering; Control (management); Nonlinear system","score_opus":0.005709595939735887,"score_gpt":0.20948993129836144,"score_spread":0.20378033535862555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359529830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024925688,0.00016994656,0.9711954,0.00006189445,0.00002823521,0.00004310314,0.00001288574,0.00038309558,0.0031797362],"genre_scores_gemma":[0.8600176,0.00018065349,0.13570897,0.0000445833,0.000026305679,0.00016221606,0.000045807574,0.000038635957,0.0037751973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976736,0.00003033658,0.000015115286,0.0000638172,0.00009485467,0.000028484776],"domain_scores_gemma":[0.9997776,0.000071778144,0.000050951752,0.000017179244,0.000072238596,0.000010204918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004823858,0.0006403167,0.00073208637,0.00020628318,0.00033373473,0.0006706559,0.00080847176,0.00058964617,0.0016723671],"category_scores_gemma":[0.0006242126,0.00026493383,0.00045010078,0.00015276368,0.00037444974,0.00037839287,0.00048486615,0.00051469967,0.00023152037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031670075,0.00008033647,0.00071880425,0.00055484683,0.00009959712,0.00047441234,0.00038262823,0.6703102,0.19360578,0.033673823,0.0011171296,0.09866571],"study_design_scores_gemma":[0.00003453613,0.00009451287,0.000106389314,0.0000064848778,0.000009675312,0.00004640776,0.0000099856,0.98700434,0.01097982,0.0010754152,0.0006231095,0.000009267339],"about_ca_topic_score_codex":0.0023133778,"about_ca_topic_score_gemma":0.0013018994,"teacher_disagreement_score":0.0023133778,"about_ca_system_score_codex":0.00037597708,"about_ca_system_score_gemma":0.00069501344,"threshold_uncertainty_score":0.005594611},"labels":[],"label_agreement":null},{"id":"W2366982224","doi":"","title":"Design of preventing electrostatic charge buildup on a magnetic suspended hard disk drive","year":2005,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Hard disk drive performance characteristics; Rotation (mathematics); Rotational speed; Automotive engineering; Charge (physics); Electrical engineering; Reliability (semiconductor); Mechanical engineering; Physics; Engineering; Mechanics; Computer science; Computer hardware","score_opus":0.008493842759670746,"score_gpt":0.2092466075382361,"score_spread":0.20075276477856535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366982224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15018107,0.0008338296,0.825517,0.0007351509,0.00036541803,0.00037605208,0.00008465736,0.0014709982,0.020435905],"genre_scores_gemma":[0.90535605,0.00026911596,0.0840161,0.00016379874,0.000119555545,0.00022160531,0.00006478937,0.000046944344,0.009742116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997533,0.000025826126,0.000017829061,0.00005648589,0.00012083869,0.000025628713],"domain_scores_gemma":[0.9996687,0.000041020285,0.00004526636,0.000029514122,0.00018679241,0.000028776369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015638057,0.00031656033,0.0004170865,0.0002395297,0.00047699644,0.00066950836,0.0012672481,0.00067761354,0.0017900177],"category_scores_gemma":[0.00039462454,0.00020703806,0.00022990926,0.00011340435,0.00022594353,0.00036279997,0.0003690309,0.0003005152,0.00079488754],"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":[0.0006702699,0.00028731063,0.0027991042,0.000738196,0.00015275637,0.0007515975,0.00039493348,0.06370978,0.7061401,0.020244857,0.0048198304,0.19929129],"study_design_scores_gemma":[0.00019473543,0.0020604471,0.0033673265,0.000070059774,0.00014700957,0.0009901834,0.000100764526,0.7124931,0.23408867,0.0026809173,0.043742143,0.00006461883],"about_ca_topic_score_codex":0.0007263671,"about_ca_topic_score_gemma":0.0007633261,"teacher_disagreement_score":0.0017900177,"about_ca_system_score_codex":0.00033578492,"about_ca_system_score_gemma":0.00050218566,"threshold_uncertainty_score":0.0059881806},"labels":[],"label_agreement":null},{"id":"W2373181264","doi":"","title":"The Design and Implementation of the Linear Displacement Measuring System for Wafer Stage","year":2005,"lang":"en","type":"article","venue":"Journal of Guilin University of Electronic Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Wafer; Displacement (psychology); Controller (irrigation); Digital signal processing; Encoder; Computer science; Position (finance); Process (computing); Interface (matter); Computer hardware; Control theory (sociology); Control engineering; Electronic engineering; Engineering; Electrical engineering","score_opus":0.005917617123393097,"score_gpt":0.2058000078448987,"score_spread":0.19988239072150563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373181264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020065265,0.0005480351,0.96104276,0.00047508476,0.00035007246,0.0008921417,0.00032976302,0.004989153,0.011307754],"genre_scores_gemma":[0.3200475,0.00050511264,0.65194064,0.0005225705,0.00022914354,0.0013415406,0.0009901266,0.0001817122,0.024241704],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992774,0.000080633115,0.00004371785,0.00013999346,0.00037827736,0.00007992205],"domain_scores_gemma":[0.9994092,0.0000554817,0.000054243163,0.00006781307,0.00038071966,0.00003258933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006998756,0.00050094334,0.00040955888,0.00058873335,0.00048393183,0.0006525307,0.0016154528,0.0008399576,0.007201311],"category_scores_gemma":[0.0008705574,0.00036537834,0.00024237283,0.0004171221,0.00025625236,0.0006963368,0.00048389792,0.0006066554,0.0029446336],"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":[0.00034250956,0.00015732924,0.004503077,0.0008128805,0.000090643385,0.00049199606,0.0004804991,0.0067165345,0.47250202,0.0133416625,0.015971225,0.48458958],"study_design_scores_gemma":[0.00029851816,0.0023880259,0.012448443,0.000158037,0.00019163173,0.0028091061,0.00020870754,0.15017836,0.61427253,0.0025136338,0.21434288,0.00019014043],"about_ca_topic_score_codex":0.0018017181,"about_ca_topic_score_gemma":0.0019400351,"teacher_disagreement_score":0.007201311,"about_ca_system_score_codex":0.0006124139,"about_ca_system_score_gemma":0.001639449,"threshold_uncertainty_score":0.024090767},"labels":[],"label_agreement":null},{"id":"W2379581523","doi":"","title":"Repetitive Control for Linear Servo System Based on Zero Phase Error Tracking","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Control theory (sociology); Tracking error; Servomechanism; Tracking (education); Repetitive control; Controller (irrigation); Ripple; Servo; Computer science; Servo drive; SIGNAL (programming language); Position (finance); Servo control; Phase (matter); Control system; Control engineering; Engineering; Control (management); Physics; Artificial intelligence","score_opus":0.011051748847391778,"score_gpt":0.2599974210693793,"score_spread":0.24894567222198752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379581523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07616375,0.00029185688,0.91661257,0.00009978011,0.00007170161,0.00006623541,0.000016196722,0.0011871097,0.0054908753],"genre_scores_gemma":[0.9596635,0.0001366102,0.036925774,0.000052774816,0.000029854675,0.000069106005,0.000031307485,0.000015727988,0.0030753128],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997069,0.00003512344,0.000018895256,0.00006314338,0.00015011239,0.000025668962],"domain_scores_gemma":[0.9997439,0.00006305533,0.000066807464,0.000026734875,0.00008718405,0.000012275819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002919682,0.00028147746,0.00022372887,0.0002581575,0.00030431434,0.0002997466,0.0006182916,0.0003175085,0.001219087],"category_scores_gemma":[0.0006368743,0.000114256756,0.00023780912,0.00018301391,0.00030339888,0.00026841066,0.0002914398,0.00027644107,0.00019647842],"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":[0.0005651795,0.00018067642,0.002047875,0.0006606931,0.00009529857,0.00062147813,0.00061389507,0.19641839,0.32502592,0.020682517,0.00225228,0.4508358],"study_design_scores_gemma":[0.00013026962,0.0009757054,0.0011792084,0.000027516562,0.00004872938,0.00035543102,0.0000328253,0.9499822,0.041761428,0.0025040738,0.0029681704,0.000034452692],"about_ca_topic_score_codex":0.001870555,"about_ca_topic_score_gemma":0.0015819534,"teacher_disagreement_score":0.001870555,"about_ca_system_score_codex":0.0002484766,"about_ca_system_score_gemma":0.0003961048,"threshold_uncertainty_score":0.004078269},"labels":[],"label_agreement":null},{"id":"W2406405348","doi":"10.1007/s11071-016-2828-8","title":"Non-smooth predictive control for mechanical transmission systems with backlash-like hysteresis","year":2016,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Backlash; Control theory (sociology); Model predictive control; Hysteresis; Mechanical system; Transmission (telecommunications); Function (biology); Transmission system; Stability (learning theory); Work (physics); Series (stratigraphy); Control system; Engineering; Computer science; Control engineering; Control (management); Physics; Artificial intelligence; Mechanical engineering","score_opus":0.0041513561950578285,"score_gpt":0.19568895049371,"score_spread":0.19153759429865216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406405348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12878947,0.00081577525,0.8625271,0.0005608867,0.0001313622,0.000042141604,0.000033929293,0.0002792472,0.0068200896],"genre_scores_gemma":[0.99400395,0.000118778036,0.0041254666,0.000025590234,0.000018199886,0.0000227422,0.00000921143,0.0000073523524,0.0016687455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998789,0.000035250665,0.0000066203856,0.000022130525,0.000039093833,0.000017908655],"domain_scores_gemma":[0.99954814,0.00027654466,0.00005884653,0.000030715262,0.0000719902,0.000013745862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039499506,0.00042203875,0.00046032475,0.00020319184,0.00045020354,0.0007033505,0.00051722315,0.0005752161,0.0013451683],"category_scores_gemma":[0.0013647896,0.00024480352,0.00021257173,0.00023634057,0.00081872114,0.00056598353,0.0005720799,0.00067067513,0.00010577518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021097001,0.000083544524,0.00044888497,0.00026212257,0.00005047505,0.00023935645,0.00025606324,0.91713035,0.010356774,0.015634533,0.0011363318,0.054190602],"study_design_scores_gemma":[0.000007116232,0.000030689174,0.00012103532,0.0000037148127,0.0000036632553,0.000009826077,0.0000061080027,0.99761885,0.0004268292,0.0016169407,0.0001523068,0.0000029960213],"about_ca_topic_score_codex":0.0044554784,"about_ca_topic_score_gemma":0.005387809,"teacher_disagreement_score":0.0044554784,"about_ca_system_score_codex":0.00034143106,"about_ca_system_score_gemma":0.00048776853,"threshold_uncertainty_score":0.008859098},"labels":[],"label_agreement":null},{"id":"W2413577535","doi":"10.1109/tmech.2016.2578678","title":"High-Performance Motion Control of the METIS Cold Chopper Mechanism","year":2016,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Max-Planck-Institut für Astronomie; KU Leuven; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Eidgenössische Technische Hochschule Zürich; Rijksuniversiteit Groningen","keywords":"Metis; Telescope; Controller (irrigation); Computer science; Spectrograph; Chopper; Simulation; Engineering; Physics; Optics; Electrical engineering; Astronomy","score_opus":0.004558191198757023,"score_gpt":0.1719434750844439,"score_spread":0.16738528388568688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2413577535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9364566,0.00022822712,0.058567394,0.00009998537,0.000047291538,0.000093138144,0.000096835975,0.00053067686,0.0038798754],"genre_scores_gemma":[0.99462306,0.000020855427,0.004733688,0.0000055562914,0.0000038975386,0.000017681248,0.000029033394,0.0000054243515,0.0005607234],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997838,0.000020629419,0.000008028757,0.00003723391,0.00011526945,0.00003505623],"domain_scores_gemma":[0.99968493,0.000053887306,0.000069943286,0.000059722028,0.00009116724,0.00004037158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049119483,0.0003709313,0.00029240275,0.00023163031,0.00032593575,0.00035138248,0.000638365,0.00030606356,0.0010773944],"category_scores_gemma":[0.00044081802,0.00010459324,0.00015014561,0.00012762718,0.00029591986,0.00015440166,0.0003665574,0.00027068733,0.00017154751],"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":[0.00085693813,0.00009615377,0.0021504157,0.00022283285,0.00004883769,0.00023558835,0.00022147206,0.037772022,0.9182421,0.0016618954,0.00060378807,0.03788796],"study_design_scores_gemma":[0.00036702387,0.0038412616,0.016420383,0.000034295677,0.000050708157,0.00023533979,0.00012218097,0.29826164,0.6724721,0.0006638497,0.0074665686,0.00006464689],"about_ca_topic_score_codex":0.0010424028,"about_ca_topic_score_gemma":0.0010523825,"teacher_disagreement_score":0.0010773944,"about_ca_system_score_codex":0.00029889736,"about_ca_system_score_gemma":0.00030076315,"threshold_uncertainty_score":0.0036042333},"labels":[],"label_agreement":null},{"id":"W2414516218","doi":"","title":"Effects of control loop delay on the stability of a rate control algorithm: Research Articles","year":2004,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Stability (learning theory); Control theory (sociology); Computer science; Loop (graph theory); Control (management); Upper and lower bounds; Domain (mathematical analysis); Process (computing); Control system; Mathematics; Mathematical analysis; Engineering","score_opus":0.02690155759633895,"score_gpt":0.30348372330563395,"score_spread":0.276582165709295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414516218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31736395,0.0077100894,0.65897256,0.0006403609,0.00019460722,0.000069717484,0.000047172718,0.00038566606,0.014615806],"genre_scores_gemma":[0.9802579,0.0018523335,0.016166357,0.00004200348,0.00006547272,0.00001504886,0.000018163924,0.0000525331,0.0015302446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991066,0.0002171868,0.000048560112,0.00016496549,0.00035334486,0.000109273176],"domain_scores_gemma":[0.99082994,0.007258543,0.0006117583,0.00033696226,0.0008800684,0.00008278171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014141237,0.00049834466,0.00060764607,0.00045970056,0.00036444378,0.0011515307,0.00041038194,0.0007342978,0.0032355634],"category_scores_gemma":[0.012076491,0.00023615721,0.00039518994,0.000308913,0.00080247654,0.0014216887,0.0006043216,0.0006427948,0.00033201152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012531225,0.00016009691,0.0039314865,0.0008611155,0.00011909642,0.00047744607,0.00054284534,0.70913845,0.064761735,0.0495461,0.0007372117,0.1684713],"study_design_scores_gemma":[0.000033170352,0.0003031491,0.0008377291,0.000051476967,0.00004069795,0.00025226964,0.000051760515,0.9574064,0.030856764,0.008161246,0.0019703736,0.000034968183],"about_ca_topic_score_codex":0.0013169942,"about_ca_topic_score_gemma":0.0006344011,"teacher_disagreement_score":0.0032355634,"about_ca_system_score_codex":0.0005768036,"about_ca_system_score_gemma":0.0005996633,"threshold_uncertainty_score":0.010823965},"labels":[],"label_agreement":null},{"id":"W2442814322","doi":"10.1002/rob.21654","title":"Admittance Control for Robotic Loading: Design and Experiments with a 1‐Tonne Loader and a 14‐Tonne Load‐Haul‐Dump Machine","year":2016,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Loader; Payload (computing); Tonne; Engineering; Digging; Actuator; Admittance; Marine engineering; Automotive engineering; Simulation; Mechanical engineering; Computer science; Waste management; Electrical engineering; Electrical impedance","score_opus":0.013186085096428667,"score_gpt":0.2297420755284958,"score_spread":0.21655599043206714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2442814322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8239702,0.00007274347,0.17039618,0.00014073154,0.000046051926,0.0010172023,0.00005374228,0.0013426642,0.0029604675],"genre_scores_gemma":[0.95286876,0.000029395813,0.04407201,0.00003843004,0.000007799632,0.00033279386,0.000040418705,0.00003711987,0.0025731819],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993069,0.00009799998,0.000053436415,0.00014467789,0.0003257958,0.00007105432],"domain_scores_gemma":[0.99856347,0.00049722486,0.00023119587,0.00016014714,0.00041265346,0.00013528868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008835075,0.0006601517,0.0003913827,0.0003967393,0.0004502894,0.0004504989,0.0016106641,0.00060026516,0.0024141737],"category_scores_gemma":[0.0018260176,0.0003896841,0.00021451619,0.00015993892,0.0006643676,0.0006387021,0.00059667305,0.00046642683,0.00034880886],"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":[0.002093508,0.0020564361,0.008057921,0.0010632338,0.00009997702,0.0005436748,0.001432787,0.09278806,0.6277836,0.0012936958,0.0010457132,0.26174146],"study_design_scores_gemma":[0.000957126,0.016006455,0.028383253,0.000054077384,0.00013455284,0.0006002201,0.00059821195,0.5494733,0.39077747,0.0007912119,0.01203417,0.00018993298],"about_ca_topic_score_codex":0.002654665,"about_ca_topic_score_gemma":0.0026923416,"teacher_disagreement_score":0.002654665,"about_ca_system_score_codex":0.00045677763,"about_ca_system_score_gemma":0.0006940881,"threshold_uncertainty_score":0.008076191},"labels":[],"label_agreement":null},{"id":"W2462582445","doi":"10.1002/cjce.22565","title":"Self‐correcting modifier‐adaptation strategy for batch‐to‐batch optimization based on batch‐wise unfolded PLS model","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Process (computing); Mathematical optimization; Convergence (economics); Heuristic; Iterative learning control; Batch processing; Adaptation (eye); Scheme (mathematics); Control (management); Mathematics; Artificial intelligence","score_opus":0.01470205381902182,"score_gpt":0.19891809097273785,"score_spread":0.18421603715371604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462582445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018256214,0.00010514837,0.97952074,0.000094663905,0.000021727083,0.000033569893,0.000016187641,0.0003660714,0.001585561],"genre_scores_gemma":[0.84606224,0.000144001,0.14889981,0.00008646601,0.00002615275,0.00022626511,0.000080491795,0.0000882493,0.0043864795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997459,0.00006344367,0.000012995017,0.00007183696,0.00007934022,0.00002641552],"domain_scores_gemma":[0.99970406,0.00014581771,0.000037863287,0.00003103034,0.000071225186,0.000009940088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074575003,0.00086615264,0.0007633643,0.0002721139,0.00036383834,0.0007034236,0.000953143,0.0007546915,0.0010505784],"category_scores_gemma":[0.0010509519,0.00041051046,0.00057495903,0.00034571748,0.00067554245,0.0006021142,0.000677183,0.0009129355,0.0002518203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005651399,0.00003116668,0.00023206537,0.000051945488,0.00002751977,0.000040297007,0.000051413113,0.95524716,0.009547525,0.0044723456,0.0003668757,0.029875081],"study_design_scores_gemma":[0.0000026959701,0.000017777935,0.00003533899,9.473967e-7,0.0000022907977,0.0000029469597,0.0000015749813,0.99843055,0.0009535211,0.00039894867,0.00015035129,0.0000030025594],"about_ca_topic_score_codex":0.0052598114,"about_ca_topic_score_gemma":0.0033822944,"teacher_disagreement_score":0.0052598114,"about_ca_system_score_codex":0.0005927503,"about_ca_system_score_gemma":0.00094897795,"threshold_uncertainty_score":0.01045841},"labels":[],"label_agreement":null},{"id":"W2480985668","doi":"10.1109/icecs.1999.813397","title":"A flexible gain error driven position controller for DC motor drives","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Control theory (sociology); Position (finance); Tracking error; Controller (irrigation); Computer science; Trajectory; DC motor; Tracking (education); Nonlinear system; Control engineering; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.010753784481120425,"score_gpt":0.2366720098861559,"score_spread":0.22591822540503545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2480985668","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008447037,0.0005086311,0.9845063,0.00010110761,0.0001336781,0.000056098892,0.00004247428,0.0011930323,0.0050115664],"genre_scores_gemma":[0.69877523,0.00071368314,0.27537596,0.0002000979,0.00013246656,0.00016338791,0.00018865093,0.00013362562,0.024316901],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981457,0.000015680947,0.000008868071,0.000027818176,0.00012244012,0.000010786405],"domain_scores_gemma":[0.99987376,0.000023274408,0.000014044238,0.000021982494,0.000055338613,0.000011547914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016227031,0.00034021083,0.00021820232,0.00017679637,0.00020728061,0.00049476355,0.00063363975,0.0003523212,0.0021379692],"category_scores_gemma":[0.00036521116,0.00014693607,0.00012584565,0.00019021826,0.00022508754,0.00035421713,0.00032918624,0.000578114,0.000860141],"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":[0.00025169677,0.0000883462,0.00030875672,0.00037649384,0.000043411375,0.00046027915,0.00012994884,0.0754714,0.21967258,0.023617353,0.005221626,0.6743581],"study_design_scores_gemma":[0.00012450629,0.00071345345,0.0011842211,0.000046621608,0.000031226595,0.00073094043,0.000022601807,0.8354568,0.094641194,0.0055802115,0.061397552,0.00007068297],"about_ca_topic_score_codex":0.00067804893,"about_ca_topic_score_gemma":0.0007917586,"teacher_disagreement_score":0.0021379692,"about_ca_system_score_codex":0.00016008264,"about_ca_system_score_gemma":0.00021136075,"threshold_uncertainty_score":0.0071521997},"labels":[],"label_agreement":null},{"id":"W2482261486","doi":"10.1109/iecon.1992.254481","title":"Sensing and control for automated robotic edge deburring","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Artificial intelligence; Enhanced Data Rates for GSM Evolution; Computer science; Computer vision; Task (project management); Planner; Chamfer (geometry); Robot end effector; Control engineering; Engineering; Robot","score_opus":0.006958405550242453,"score_gpt":0.21144484220897114,"score_spread":0.20448643665872868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482261486","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010405215,0.00038690655,0.98082215,0.00015761101,0.000047636706,0.000051413426,0.000019800254,0.0009608449,0.0071484367],"genre_scores_gemma":[0.703037,0.00055224035,0.2821122,0.00026682374,0.00008429373,0.00020686828,0.00008821725,0.000093758405,0.013558572],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996617,0.000039161943,0.000015859687,0.00007154936,0.00018602313,0.000025787509],"domain_scores_gemma":[0.99978226,0.0000762462,0.00003939646,0.00003219434,0.00005945007,0.000010374571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027340243,0.0003689783,0.00025603475,0.00018080091,0.00032452465,0.00062615,0.0006063617,0.00052827364,0.002392013],"category_scores_gemma":[0.000629281,0.00020448683,0.00023486985,0.00016765433,0.0004953978,0.0004941266,0.000519364,0.000607191,0.0005038365],"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":[0.00016785206,0.000111713925,0.0006062054,0.00021618145,0.0000342229,0.00019428768,0.00036716423,0.29204753,0.14111331,0.041719433,0.0051010386,0.518321],"study_design_scores_gemma":[0.00004905947,0.0002689031,0.0007339244,0.000029739223,0.000019893308,0.00016488538,0.000040233328,0.91474944,0.03965575,0.01452892,0.029715432,0.0000438627],"about_ca_topic_score_codex":0.0027497003,"about_ca_topic_score_gemma":0.0027395554,"teacher_disagreement_score":0.0027497003,"about_ca_system_score_codex":0.00041336083,"about_ca_system_score_gemma":0.00047252033,"threshold_uncertainty_score":0.008002102},"labels":[],"label_agreement":null},{"id":"W2498867431","doi":"10.1109/acc.2016.7525379","title":"Optimal actuator placement for vibration control of a planar cable-driven robotic manipulator","year":2016,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Actuator; Planar; Vibration; Control theory (sociology); Manipulator (device); Vibration control; Robot manipulator; Computer science; Robot; Control engineering; Control (management); Acoustics; Engineering; Physics; Artificial intelligence","score_opus":0.010478670356442161,"score_gpt":0.21236999392665826,"score_spread":0.2018913235702161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498867431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18364261,0.00023709677,0.812344,0.00009572133,0.000024425808,0.000025670928,0.000025983143,0.0002757567,0.0033288011],"genre_scores_gemma":[0.9780124,0.000074052274,0.020873277,0.000010340763,0.000007078517,0.000018217343,0.000014393908,0.0000066431794,0.0009834935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999218,0.000015473055,0.0000031918246,0.000016597662,0.000034173154,0.000008693963],"domain_scores_gemma":[0.99989855,0.00003360784,0.000037003156,0.0000070934752,0.000017323791,0.000006547417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001307016,0.00032686893,0.0001611916,0.000105623076,0.00014961853,0.00014059644,0.00027400054,0.00019641717,0.0007401589],"category_scores_gemma":[0.00030124668,0.0001201012,0.0001234686,0.00009206164,0.00027419443,0.00015837581,0.00027230542,0.00020294148,0.00009431878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020077552,0.000029023848,0.00070939644,0.0001886383,0.0000244475,0.00023769669,0.00013484625,0.752261,0.18658862,0.004320911,0.00040399958,0.054900665],"study_design_scores_gemma":[0.00003756698,0.00042468714,0.001080244,0.000011837547,0.000012219929,0.00008701636,0.000029182485,0.9809955,0.015007225,0.0011480077,0.001153259,0.00001325989],"about_ca_topic_score_codex":0.001482654,"about_ca_topic_score_gemma":0.0017536626,"teacher_disagreement_score":0.001482654,"about_ca_system_score_codex":0.00018399007,"about_ca_system_score_gemma":0.0003143702,"threshold_uncertainty_score":0.0029480457},"labels":[],"label_agreement":null},{"id":"W2520520704","doi":"10.1016/j.ifacol.2016.08.052","title":"Iterative Learning on Dual-fuel Control of Homogeneous Charge Compression Ignition * *Financial support for this research provided by Biofuelnet Canada.","year":2016,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Mean effective pressure; Iterative learning control; Mathematics; Compression ratio; Computer science; Automotive engineering; Internal combustion engine; Engineering","score_opus":0.014137166910947628,"score_gpt":0.25767563639394986,"score_spread":0.24353846948300223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520520704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21452437,0.00039043644,0.767596,0.00027897485,0.00008586874,0.00012724061,0.000035577537,0.0006415186,0.016319938],"genre_scores_gemma":[0.98105705,0.000055199976,0.01592815,0.000030174659,0.000009092778,0.0000443832,0.00001856615,0.000014168444,0.0028431362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997645,0.000045938814,0.0000111869185,0.000044535274,0.000078113255,0.000055721783],"domain_scores_gemma":[0.9993703,0.00026708233,0.00009779985,0.000033064935,0.00020187291,0.00003002966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006900619,0.0005283482,0.0005519915,0.00025148274,0.00034303564,0.00060249335,0.00064934784,0.00043709372,0.001607335],"category_scores_gemma":[0.0013482743,0.00018307604,0.00030506784,0.00021183747,0.00063543953,0.00023826554,0.0006496431,0.0005532636,0.00020380516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019650243,0.00009184368,0.0005126911,0.000078054734,0.0000242024,0.0000611188,0.00011195325,0.91337264,0.0068308827,0.0030897576,0.0004744849,0.07515579],"study_design_scores_gemma":[0.0000055611526,0.00007812858,0.00011777492,0.0000025378872,0.000003367234,0.0000054619286,0.0000042004654,0.9980894,0.0011773825,0.00027076516,0.00024264613,0.0000028214902],"about_ca_topic_score_codex":0.013514961,"about_ca_topic_score_gemma":0.00833993,"teacher_disagreement_score":0.013514961,"about_ca_system_score_codex":0.00073504,"about_ca_system_score_gemma":0.0008845823,"threshold_uncertainty_score":0.026872575},"labels":[],"label_agreement":null},{"id":"W2535712454","doi":"10.1177/0954406216674980","title":"Reduction of the effect of actuator saturation with periodic servo-constraints","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Control theory (sociology); Actuator; Trajectory; Servo; Computer science; Benchmark (surveying); Torque; Robot; Tracking error; Inverse dynamics; Nonlinear system; Servomotor; Controller (irrigation); Control engineering; Engineering; Control (management); Artificial intelligence; Physics; Kinematics","score_opus":0.004496386551869653,"score_gpt":0.19319221033345838,"score_spread":0.18869582378158872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535712454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23707825,0.0006444532,0.75471485,0.00011929966,0.000047856338,0.00008204633,0.000029353538,0.00066018227,0.0066237687],"genre_scores_gemma":[0.97189474,0.0000953661,0.026958648,0.000023344026,0.00000803232,0.0000405149,0.000021554579,0.00002644294,0.00093139097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997719,0.000041102685,0.00001627575,0.00002551036,0.00011140417,0.000033777662],"domain_scores_gemma":[0.99906844,0.0004746823,0.00015597837,0.00010912332,0.00015914686,0.000032655673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040672446,0.0005673781,0.00037770218,0.00024174807,0.00021800643,0.00033311488,0.0005406484,0.00038391014,0.00092890864],"category_scores_gemma":[0.0015644202,0.00017284064,0.0002609464,0.00015030346,0.0003103426,0.00035815005,0.0007362405,0.00045275307,0.00010274918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040450034,0.00019216999,0.001260335,0.00078996364,0.0000821507,0.0004717408,0.00043547023,0.6728724,0.1541785,0.008197951,0.0008534663,0.16026129],"study_design_scores_gemma":[0.00001795383,0.00034379837,0.00077034294,0.000019045598,0.00001749443,0.00009179076,0.000033752414,0.97147524,0.024897153,0.0014814074,0.00084172154,0.000010387194],"about_ca_topic_score_codex":0.0012726379,"about_ca_topic_score_gemma":0.00091782014,"teacher_disagreement_score":0.0012726379,"about_ca_system_score_codex":0.0001849432,"about_ca_system_score_gemma":0.0005307528,"threshold_uncertainty_score":0.0031074882},"labels":[],"label_agreement":null},{"id":"W2536217797","doi":"10.1109/isic.2003.1253950","title":"Neural network robot controller based on structural learning with forgetting","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Forgetting; Redundancy (engineering); Computer science; Artificial neural network; Control theory (sociology); Controller (irrigation); Trajectory; Robot; Mobile robot; Artificial intelligence; Tracking (education); Robot control; Control engineering; Control (management); Engineering","score_opus":0.00419069816774144,"score_gpt":0.18184069707202313,"score_spread":0.17764999890428168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536217797","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020395005,0.00055594207,0.9745061,0.00009566147,0.00015943282,0.000063487576,0.000026136831,0.0013842038,0.0028139697],"genre_scores_gemma":[0.8367854,0.00067112496,0.15686643,0.00020125418,0.00011760725,0.00023607553,0.00015832622,0.00005758149,0.0049061817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997365,0.000024166453,0.000017528482,0.00007317589,0.00012163906,0.000026969143],"domain_scores_gemma":[0.99966407,0.000079063924,0.000057964793,0.000040734503,0.00014538172,0.000012876981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589446,0.0006290678,0.0005121214,0.00026937484,0.00031582869,0.00035466554,0.0011310149,0.0006053344,0.0014521484],"category_scores_gemma":[0.00090442866,0.00021015664,0.00032543522,0.00020534142,0.0004311857,0.0006154437,0.00041132412,0.00071099144,0.00032080282],"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":[0.00026819107,0.00016440332,0.0010110332,0.0005048226,0.0001497759,0.0004394405,0.00016304741,0.494886,0.08450517,0.015843233,0.0025426873,0.3995222],"study_design_scores_gemma":[0.00004540897,0.00016117774,0.00040297263,0.000012600263,0.000029722505,0.00010748011,0.0000048450784,0.98439306,0.011275867,0.0016211973,0.0019309408,0.000014659642],"about_ca_topic_score_codex":0.0024017845,"about_ca_topic_score_gemma":0.0027830296,"teacher_disagreement_score":0.0024017845,"about_ca_system_score_codex":0.00039307072,"about_ca_system_score_gemma":0.00049534754,"threshold_uncertainty_score":0.0048578978},"labels":[],"label_agreement":null},{"id":"W2542243173","doi":"10.1109/tic-sth.2009.5444376","title":"Iterative Learning Control with Switching Gain PD feedback for nonlinear systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Iterative learning control; Initialization; Control theory (sociology); Tracking error; Convergence (economics); Computer science; Nonlinear system; Trajectory; Iterative method; Scheme (mathematics); Tracking (education); Control (management); Mathematics; Algorithm; Artificial intelligence","score_opus":0.005072244047268111,"score_gpt":0.20674370005518444,"score_spread":0.20167145600791633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542243173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010259219,0.00020609052,0.9873576,0.000053315674,0.00003711662,0.000025079753,0.0000055585087,0.00020393168,0.0018521191],"genre_scores_gemma":[0.85761493,0.00046848413,0.13761893,0.00013451267,0.000081185484,0.00016832903,0.000055722456,0.000036269117,0.0038217218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994723,0.0001031724,0.000034415916,0.000094959716,0.0002530299,0.000042101645],"domain_scores_gemma":[0.99951303,0.00019864156,0.000066236746,0.0000534765,0.00014791761,0.000020684934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006885677,0.0005468159,0.0004509279,0.00030881347,0.00027685467,0.0006655244,0.000969739,0.0005717452,0.000952199],"category_scores_gemma":[0.0014947789,0.00017498176,0.00043993455,0.00032939852,0.0007746727,0.00069496915,0.00066554407,0.0008008262,0.00019516789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018798145,0.00015853829,0.0009049014,0.00034026612,0.00010121747,0.00023995398,0.00039891162,0.57897156,0.02660326,0.05572245,0.0015135354,0.33485737],"study_design_scores_gemma":[0.000020919077,0.00012580783,0.00012674848,0.0000069118523,0.00001001703,0.000043236338,0.000007302481,0.9898022,0.0032755223,0.005139979,0.0014312483,0.000010246981],"about_ca_topic_score_codex":0.0015295765,"about_ca_topic_score_gemma":0.00082134164,"teacher_disagreement_score":0.0015295765,"about_ca_system_score_codex":0.00045918053,"about_ca_system_score_gemma":0.00052523176,"threshold_uncertainty_score":0.0036415458},"labels":[],"label_agreement":null},{"id":"W2549141920","doi":"10.12700/aph.12.1.2015.1.9","title":"Constrained Data-Driven Model-Free ILC-based Reference Input Tuning Algorithm","year":2014,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"European Social Fund; Natural Sciences and Engineering Research Council of Canada; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Autoritatea Natională pentru Cercetare Stiintifică","keywords":"Iterative learning control; Computer science; Control theory (sociology); Curse of dimensionality; Trajectory; Iterative method; Algorithm; Process (computing); Artificial intelligence; Control (management)","score_opus":0.023839861854417502,"score_gpt":0.24145065376176927,"score_spread":0.21761079190735177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549141920","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035602357,0.000068006404,0.9944788,0.000034299796,0.000012605992,0.000029599109,0.0000120257055,0.0005212822,0.0012831715],"genre_scores_gemma":[0.65543294,0.00009427221,0.3407159,0.00016413291,0.000027398173,0.00039727578,0.00019149449,0.00020119404,0.002775272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992717,0.00014968602,0.00004604781,0.00016285588,0.00029440524,0.00007532301],"domain_scores_gemma":[0.9987519,0.00045338873,0.00014671405,0.00016382252,0.00044833528,0.00003587173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012902576,0.00081351347,0.0011743584,0.00052881346,0.00048160428,0.0009801128,0.001841318,0.0010947145,0.0020356441],"category_scores_gemma":[0.0028736645,0.0005390047,0.0005594389,0.0005041362,0.00075499143,0.00074416865,0.0012595748,0.0012573051,0.00072083634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010089145,0.000054038694,0.00039218742,0.00011460324,0.000038976024,0.000050638067,0.00010709309,0.87549174,0.0054605915,0.006436441,0.0009486306,0.110804155],"study_design_scores_gemma":[0.0000071350714,0.0000215996,0.000049246784,0.0000045683487,0.0000028535235,0.000009521784,0.0000024070475,0.9980578,0.00096394686,0.0005681383,0.00030834856,0.000004399984],"about_ca_topic_score_codex":0.004689655,"about_ca_topic_score_gemma":0.0028189044,"teacher_disagreement_score":0.004689655,"about_ca_system_score_codex":0.00076390826,"about_ca_system_score_gemma":0.0013496643,"threshold_uncertainty_score":0.009324729},"labels":[],"label_agreement":null},{"id":"W2549472344","doi":"10.3390/a9040081","title":"Cross-Coupled Contouring Control of Multi-DOF Robotic Manipulator","year":2016,"lang":"en","type":"article","venue":"Algorithms","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contouring; Control theory (sociology); Computer science; Jacobian matrix and determinant; Tracking (education); Serial manipulator; Trajectory; Tracking error; Lyapunov function; Artificial intelligence; Nonlinear system; Computer vision; Mathematics; Robot; Parallel manipulator; Control (management)","score_opus":0.013662584827397026,"score_gpt":0.24685385451931588,"score_spread":0.23319126969191886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549472344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07338902,0.00020074297,0.9231911,0.00004385802,0.000041737698,0.00003418133,0.000006372836,0.00022147338,0.0028714396],"genre_scores_gemma":[0.9508396,0.00013936225,0.047164243,0.00003163155,0.0000149098305,0.00004721396,0.00001549159,0.000014860854,0.001732648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962676,0.000039051825,0.000026116239,0.00010432606,0.00017772375,0.00002605904],"domain_scores_gemma":[0.9995609,0.00008684648,0.00012606682,0.000054804743,0.00014637683,0.000025075602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063091115,0.0004642296,0.00029882384,0.0002963976,0.00033143308,0.00041963413,0.00074247003,0.00037835143,0.00067789067],"category_scores_gemma":[0.0008257444,0.00024812503,0.000295568,0.00029718337,0.0005843881,0.0005166634,0.0008171062,0.00041455374,0.00009910962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024892847,0.000106966465,0.0013855981,0.00020854804,0.00005993338,0.0002907137,0.00041524717,0.64059216,0.12982182,0.0156732,0.000731979,0.2104649],"study_design_scores_gemma":[0.000022507056,0.00022597332,0.00054902595,0.0000068806817,0.0000126111245,0.00007584839,0.000009164898,0.9861356,0.0107526155,0.0012195846,0.0009776194,0.0000125618635],"about_ca_topic_score_codex":0.0018954166,"about_ca_topic_score_gemma":0.0011188484,"teacher_disagreement_score":0.0018954166,"about_ca_system_score_codex":0.00030011294,"about_ca_system_score_gemma":0.00038204688,"threshold_uncertainty_score":0.0037688017},"labels":[],"label_agreement":null},{"id":"W2554641455","doi":"10.1109/tie.2016.2631516","title":"Fractional Phase Lead Compensation RC for an Inverter: Analysis, Design, and Verification","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Zhejiang University; National Natural Science Foundation of China; Nanjing University of Aeronautics and Astronautics; Lakehead University","keywords":"Control theory (sociology); Pulse-width modulation; Inverter; Lagrange polynomial; Total harmonic distortion; Mathematics; Voltage; Engineering; Computer science; Mathematical analysis","score_opus":0.05219896209850742,"score_gpt":0.28098656825921986,"score_spread":0.22878760616071245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554641455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019195389,0.0006758729,0.9741974,0.00014203742,0.000048392252,0.00010282892,0.000025677633,0.00050495466,0.0051075546],"genre_scores_gemma":[0.80537605,0.000654091,0.1911834,0.000065299995,0.00003551559,0.000114315575,0.00004671197,0.000031752523,0.0024928488],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997105,0.00003920743,0.00001436258,0.00004695008,0.00016569719,0.000023280598],"domain_scores_gemma":[0.9996865,0.000111644906,0.00005535279,0.000042771815,0.000093437826,0.000010406634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003989177,0.00039657444,0.00039312243,0.0003569635,0.0004402702,0.00057397404,0.0006692704,0.00065610046,0.0018015964],"category_scores_gemma":[0.0008177987,0.0001489873,0.000361714,0.00038418584,0.0004248921,0.0004386868,0.00019736221,0.00045319847,0.00021278203],"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":[0.00032776422,0.00017167944,0.0013092728,0.0010433958,0.0000919266,0.00047507076,0.0004541547,0.27310026,0.24236912,0.07353496,0.0023684094,0.404754],"study_design_scores_gemma":[0.000026093372,0.00025223734,0.00036186576,0.000023782768,0.000029096882,0.00019261868,0.00001894877,0.96686256,0.025950972,0.0017775919,0.004481432,0.000022746917],"about_ca_topic_score_codex":0.003491043,"about_ca_topic_score_gemma":0.0022777077,"teacher_disagreement_score":0.003491043,"about_ca_system_score_codex":0.000687306,"about_ca_system_score_gemma":0.0007524811,"threshold_uncertainty_score":0.0069414377},"labels":[],"label_agreement":null},{"id":"W2555687418","doi":"10.1002/acs.2707","title":"Stochastic high‐order internal model‐based adaptive TILC with random uncertainties in initial states and desired reference points","year":2016,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Controller (irrigation); Control theory (sociology); Computer science; Terminal (telecommunication); Process (computing); Internal model; Markov process; Markov decision process; Nonlinear system; Mathematical optimization; Iterative learning control; Markov chain; Adaptive control; Control engineering; Control (management); Engineering; Mathematics","score_opus":0.014511649298750312,"score_gpt":0.23558963688153747,"score_spread":0.22107798758278716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555687418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016714338,0.00009555602,0.9808842,0.0000664463,0.000028377717,0.000020805861,0.000019878364,0.00028386473,0.0018865564],"genre_scores_gemma":[0.9639656,0.000112451504,0.032808248,0.000063519044,0.000025582081,0.000093527364,0.00008533161,0.00004619056,0.0027995429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993519,0.000104681836,0.000036286885,0.00018279675,0.00023732893,0.00008696548],"domain_scores_gemma":[0.99893755,0.00034314822,0.00027054286,0.00009943295,0.0003091518,0.00004014647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011050592,0.00073771534,0.0010831966,0.0003934237,0.0004863778,0.0011526435,0.0012152033,0.00074416836,0.0011655554],"category_scores_gemma":[0.002123237,0.00048166284,0.0009918616,0.0004561926,0.00097401603,0.00069507543,0.0011586628,0.001361335,0.00033518294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031037227,0.000011413319,0.00021251966,0.000031392337,0.000019885469,0.000025096173,0.000039392795,0.9856597,0.0015875427,0.0023605383,0.0001715192,0.0098499665],"study_design_scores_gemma":[0.0000019726067,0.000008700901,0.000032037307,0.00000161168,0.000002395223,0.0000026298324,0.0000011030783,0.99937797,0.00024066394,0.00026596017,0.00006233653,0.000002586684],"about_ca_topic_score_codex":0.010800073,"about_ca_topic_score_gemma":0.005409724,"teacher_disagreement_score":0.010800073,"about_ca_system_score_codex":0.00082791824,"about_ca_system_score_gemma":0.0010875268,"threshold_uncertainty_score":0.021474421},"labels":[],"label_agreement":null},{"id":"W2559902406","doi":"10.1109/tcst.2016.2632533","title":"Iteration Tuning of Disturbance Observer-Based Control System Satisfying Robustness Index for FOPTD Processes","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Robustness (evolution); Control theory (sociology); Computer science; Robust control; Control system; Mathematical optimization; Mathematics; Engineering; Control (management)","score_opus":0.009254287832341166,"score_gpt":0.206201564107819,"score_spread":0.19694727627547784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559902406","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01338006,0.00009847667,0.9846495,0.000041604893,0.000018032495,0.000036148755,0.000011015992,0.00023599096,0.0015291339],"genre_scores_gemma":[0.91787076,0.0001285463,0.08021039,0.00005312754,0.000018993644,0.00015422214,0.00006459824,0.000033530454,0.0014659063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922955,0.00016723029,0.000053790576,0.00021107981,0.00027419426,0.000064106935],"domain_scores_gemma":[0.9991509,0.0003318502,0.00015942524,0.00009146853,0.00024459674,0.000021758275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012296981,0.0005386324,0.00063409796,0.00028970448,0.0003284765,0.0008785396,0.00072220946,0.0006860727,0.0006427275],"category_scores_gemma":[0.002863325,0.00023393633,0.00036821736,0.00020418367,0.0005538415,0.0005610577,0.0006389283,0.0006971784,0.00019589963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031125164,0.0001241446,0.0017161627,0.00039486008,0.0000778929,0.00016275603,0.00041895168,0.7564199,0.06919834,0.020260138,0.0011051316,0.14981055],"study_design_scores_gemma":[0.000015398002,0.000064829124,0.00020077945,0.0000061347932,0.000006092389,0.000022657201,0.000006468112,0.99282503,0.0052407007,0.0009609747,0.0006424149,0.00000848989],"about_ca_topic_score_codex":0.0025102634,"about_ca_topic_score_gemma":0.0014800675,"teacher_disagreement_score":0.0025102634,"about_ca_system_score_codex":0.0005704353,"about_ca_system_score_gemma":0.00064140966,"threshold_uncertainty_score":0.0065033436},"labels":[],"label_agreement":null},{"id":"W2560068739","doi":"10.1115/detc2016-59681","title":"Analysis and a Case Study of Model Reference Adaptive Control for Robotic Mechanisms","year":2016,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Payload (computing); Adaptive control; Reference model; Control engineering; Control theory (sociology); Computer science; Controller (irrigation); Robot manipulator; Robotic arm; Robot end effector; Robot; Control (management); Artificial intelligence; Engineering","score_opus":0.02775184587317904,"score_gpt":0.24744673242286294,"score_spread":0.2196948865496839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560068739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1291414,0.0075847683,0.7873558,0.0019089675,0.00011115424,0.00018994906,0.00006382241,0.00045675613,0.07318742],"genre_scores_gemma":[0.8908201,0.0021794077,0.09370599,0.00013117139,0.00010723217,0.00016348784,0.00003811045,0.000042606036,0.012811821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994332,0.0001846139,0.000028708226,0.00007321282,0.0002342294,0.000045941808],"domain_scores_gemma":[0.99909854,0.00059590087,0.000083875995,0.00010426437,0.000097136806,0.000020279687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009054789,0.00046625768,0.0005634081,0.00054012815,0.0006220215,0.001312447,0.000910665,0.0025257622,0.0022721002],"category_scores_gemma":[0.0022661693,0.00023492114,0.00097353733,0.00048727592,0.0009787696,0.00091349724,0.0007357313,0.0009557165,0.00027570856],"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":[0.00014239186,0.00029595598,0.0017631382,0.00039671862,0.00008554857,0.00393694,0.0006838695,0.44180626,0.013532104,0.4572505,0.0021947548,0.07791179],"study_design_scores_gemma":[0.000051735908,0.00041958573,0.0013007771,0.000077505945,0.00004224173,0.0014562407,0.00025524828,0.908652,0.0048658573,0.06308702,0.01973839,0.000053453576],"about_ca_topic_score_codex":0.0019411738,"about_ca_topic_score_gemma":0.0013163622,"teacher_disagreement_score":0.0025257622,"about_ca_system_score_codex":0.0005220745,"about_ca_system_score_gemma":0.0003093421,"threshold_uncertainty_score":0.0076009035},"labels":[],"label_agreement":null},{"id":"W2565809411","doi":"10.1109/tac.2003.815010","title":"Performance limitations in the robust servomechanism problem for discrete-time lti systems","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Algebraic Riccati equation; Servomechanism; Riccati equation; Discrete time and continuous time; Dimension (graph theory); Robust control; Mathematics; Tracking error; Control system; Computer science; Engineering; Control (management); Control engineering; Differential equation; Mathematical analysis","score_opus":0.01863809363608229,"score_gpt":0.20594901187538042,"score_spread":0.18731091823929813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565809411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07210224,0.0030717708,0.90150243,0.0022566463,0.00008736059,0.00007239333,0.00012226113,0.0003704169,0.020414421],"genre_scores_gemma":[0.9674009,0.0018789957,0.026029209,0.00017162041,0.00014009546,0.0001662701,0.00013573418,0.000112101494,0.003965038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798703,0.0006394646,0.00015876825,0.0002087656,0.0008429208,0.0001630413],"domain_scores_gemma":[0.9864884,0.010819337,0.00086734793,0.00049695245,0.001202417,0.00012557642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033726466,0.0006353932,0.00067902997,0.00042113388,0.0004487532,0.0020968127,0.0008913293,0.0013708188,0.0028007394],"category_scores_gemma":[0.01661332,0.00033896862,0.00037075172,0.000439146,0.0012071157,0.0026325441,0.0011224359,0.0013629055,0.00046339512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003062966,0.00009427628,0.0011711493,0.0012220455,0.0000578896,0.00053244387,0.00054987986,0.6994017,0.02529507,0.16946658,0.002492207,0.09941053],"study_design_scores_gemma":[0.000021527288,0.00012359589,0.0006698201,0.00007257863,0.000012751553,0.00016025262,0.000094949886,0.9489939,0.0053477385,0.042666037,0.0018112968,0.000025589656],"about_ca_topic_score_codex":0.001261685,"about_ca_topic_score_gemma":0.00048764117,"teacher_disagreement_score":0.0033726466,"about_ca_system_score_codex":0.00065358035,"about_ca_system_score_gemma":0.0005951787,"threshold_uncertainty_score":0.017836452},"labels":[],"label_agreement":null},{"id":"W2566539607","doi":"10.1109/ccsse.2016.7784370","title":"Analysis and comparative study of reference based adaptive control system for serial mechanisms","year":2016,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reference model; Adaptive control; Computer science; Serial manipulator; Payload (computing); Control engineering; Control (management); Control theory (sociology); Robot; Artificial intelligence; Engineering; Parallel manipulator","score_opus":0.028573623923001012,"score_gpt":0.24112480083315446,"score_spread":0.21255117691015346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566539607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17289832,0.0037356126,0.79597145,0.00023033115,0.00014551207,0.00012929084,0.00006286913,0.0006265186,0.026199963],"genre_scores_gemma":[0.98609954,0.0006085477,0.009109202,0.00002663874,0.00003219214,0.000058453206,0.00005187347,0.000023836195,0.0039897054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948573,0.00007616995,0.00003727261,0.000100092395,0.000245252,0.000055435597],"domain_scores_gemma":[0.9991394,0.00030030587,0.000109226654,0.000066530876,0.00036303536,0.000021493055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009778216,0.0004698123,0.0006358097,0.0009146873,0.0004906263,0.0008952611,0.0005899986,0.0006638055,0.0042586434],"category_scores_gemma":[0.0018082673,0.00018970783,0.00076059165,0.00035524435,0.00035705487,0.0006253708,0.00040997312,0.00039390964,0.00027703764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050624454,0.00009779542,0.003548803,0.000612653,0.00021682754,0.00041691973,0.00041808,0.76821595,0.031232042,0.037075043,0.0014543659,0.15620519],"study_design_scores_gemma":[0.0000123843865,0.00028202165,0.0020934292,0.000012374965,0.000048859994,0.00010794023,0.00004111443,0.9913026,0.0029683425,0.0018893112,0.0012223383,0.000019181625],"about_ca_topic_score_codex":0.0049870326,"about_ca_topic_score_gemma":0.0021761514,"teacher_disagreement_score":0.0049870326,"about_ca_system_score_codex":0.00055961544,"about_ca_system_score_gemma":0.0004352713,"threshold_uncertainty_score":0.014246523},"labels":[],"label_agreement":null},{"id":"W2570417820","doi":"10.2514/6.2017-1046","title":"Iterative Learning Control of Spacecraft Proximity Operations Based on Confidence Level","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Iterative Learning 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":"Carleton University","funders":"","keywords":"Spacecraft; Iterative learning control; Computer science; Control (management); Aerospace engineering; Artificial intelligence; Engineering","score_opus":0.01880659210438648,"score_gpt":0.25085263083817366,"score_spread":0.23204603873378718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570417820","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08066857,0.00011636729,0.9158495,0.00014590078,0.0000484649,0.000034704943,0.000012853805,0.000115922805,0.0030077293],"genre_scores_gemma":[0.9844381,0.0000301106,0.014703187,0.000022341434,0.000014717636,0.00004100845,0.000011916966,0.000010709442,0.00072785496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910283,0.0002146655,0.000049305545,0.00018766453,0.0003015314,0.0001440369],"domain_scores_gemma":[0.99686664,0.0016592076,0.0004987732,0.00013684515,0.0006850183,0.00015353724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016668919,0.00064662006,0.00079411874,0.00044458988,0.00050288404,0.001356938,0.0012865835,0.0006408045,0.0011842799],"category_scores_gemma":[0.006819054,0.00042484127,0.00045741792,0.0004446895,0.0011130663,0.0009883275,0.0018539566,0.0013029036,0.00014779561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026886488,0.00009165997,0.0007017052,0.000047930964,0.00004150315,0.000036790592,0.00016086198,0.9432586,0.0035424533,0.011366069,0.00036884617,0.04011483],"study_design_scores_gemma":[0.000009694185,0.000056179655,0.00009670274,0.0000023492278,0.0000031561315,0.0000039728434,0.0000032908963,0.99847823,0.0003721067,0.00092505733,0.00004507916,0.0000042132933],"about_ca_topic_score_codex":0.005618017,"about_ca_topic_score_gemma":0.0030676795,"teacher_disagreement_score":0.005618017,"about_ca_system_score_codex":0.0008162355,"about_ca_system_score_gemma":0.0010808607,"threshold_uncertainty_score":0.011170626},"labels":[],"label_agreement":null},{"id":"W2575073411","doi":"10.1109/ecc.2016.7810428","title":"IMC based iterative learning control of DOC temperature during DPF regerneration","year":2016,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Iterative learning control; Overshoot (microwave communication); Diesel particulate filter; Internal model; Control theory (sociology); Process (computing); Controller (irrigation); Filter (signal processing); Diesel fuel; Computer science; Model predictive control; Temperature control; Environmental science; Control engineering; Engineering; Control (management); Automotive engineering; Artificial intelligence","score_opus":0.002191486375780835,"score_gpt":0.1720373705184731,"score_spread":0.16984588414269225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2575073411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22481295,0.0003519168,0.7610308,0.00019373735,0.00009000297,0.0001133328,0.000052589814,0.0012679454,0.012086692],"genre_scores_gemma":[0.98751265,0.00004037351,0.011145341,0.00002086846,0.0000057498537,0.000048008373,0.000022883198,0.0000143679945,0.0011897227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973804,0.000028946793,0.000014830781,0.00007049318,0.000091845184,0.000055855395],"domain_scores_gemma":[0.9995635,0.00011834525,0.00008906509,0.000034813784,0.00017456783,0.000019795818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053028454,0.0004891784,0.000452533,0.00029574445,0.00044421962,0.00065028673,0.000924515,0.00043630236,0.0008654927],"category_scores_gemma":[0.0010633325,0.00018832406,0.00031509157,0.0002205885,0.00054915925,0.00038565605,0.00062197645,0.00051081757,0.00014907369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021410477,0.00012714123,0.0017615668,0.00016701105,0.000031003292,0.00010447089,0.0002274608,0.8760562,0.026318735,0.001968529,0.00074717647,0.09227663],"study_design_scores_gemma":[0.0000076190063,0.000048562255,0.0002470472,0.0000038326343,0.0000050325098,0.000009338457,0.000008635838,0.9929355,0.006284351,0.00016734232,0.00027679667,0.0000059391914],"about_ca_topic_score_codex":0.010774917,"about_ca_topic_score_gemma":0.006246659,"teacher_disagreement_score":0.010774917,"about_ca_system_score_codex":0.000676733,"about_ca_system_score_gemma":0.0008279383,"threshold_uncertainty_score":0.021424413},"labels":[],"label_agreement":null},{"id":"W2587739182","doi":"10.1115/dscc2011-6131","title":"Integrator Leakage for Limit Cycle Suppression in Servo Mechanisms With Stiction","year":2011,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stiction; Control theory (sociology); Limit cycle; PID controller; Integrator; Leakage (economics); Limit (mathematics); Servo; Computer science; Controller (irrigation); Mathematics; Control engineering; Physics; Engineering; Mathematical analysis; Control (management); Artificial intelligence; Quantum mechanics; Temperature control","score_opus":0.011718111735856376,"score_gpt":0.18351461927192622,"score_spread":0.17179650753606984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587739182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19217096,0.00082893914,0.8023785,0.00017121746,0.000025805362,0.00003593756,0.000007830511,0.00036426657,0.0040165563],"genre_scores_gemma":[0.9814989,0.00015654163,0.017915474,0.000024771698,0.000006315725,0.000014732431,0.0000037892848,0.0000182689,0.00036122644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997223,0.000070237074,0.000014098415,0.000026548143,0.00014267738,0.00002419046],"domain_scores_gemma":[0.99878937,0.0007708567,0.00020175692,0.00008145725,0.000117912605,0.000038643826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007903463,0.00025192215,0.00046802993,0.00038423695,0.00029259827,0.00046886297,0.0003387893,0.0004656108,0.000784903],"category_scores_gemma":[0.0038623358,0.00020068914,0.00026206335,0.00018842967,0.00077385345,0.000630302,0.00066210906,0.00038820744,0.00008031239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061575917,0.00011329368,0.0027277754,0.0006996379,0.000075083706,0.00062728295,0.0008394798,0.59051585,0.19656314,0.080608554,0.0004934847,0.12612067],"study_design_scores_gemma":[0.000017144168,0.000222811,0.0006299621,0.00002199915,0.000018319115,0.00019296443,0.000020033149,0.96817154,0.016379438,0.013875784,0.00043275376,0.000017195305],"about_ca_topic_score_codex":0.00021269743,"about_ca_topic_score_gemma":0.00017415632,"teacher_disagreement_score":0.0007903463,"about_ca_system_score_codex":0.00032686646,"about_ca_system_score_gemma":0.00032958793,"threshold_uncertainty_score":0.0041797757},"labels":[],"label_agreement":null},{"id":"W2588112855","doi":"10.1115/dscc2016-9904","title":"Design of a Control System for Serial Mechanisms","year":2016,"lang":"en","type":"article","venue":"Volume 2: Mechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Planning and Motion Control; Robot Manipulators; Sensors and Actuators; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamic Controls; Vehicle Dynamics and Traffic Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; York University","funders":"","keywords":"PID controller; Control theory (sociology); Inertia; Controller (irrigation); Convergence (economics); Nonlinear system; Computer science; Constant (computer programming); Control engineering; Adaptive control; Engineering; Control (management); Temperature control; Artificial intelligence; Physics","score_opus":0.015761174249031534,"score_gpt":0.22713692952543232,"score_spread":0.2113757552764008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588112855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006932956,0.00019975015,0.9870432,0.000070209506,0.00017661814,0.00015575768,0.00003986904,0.0012380925,0.004143562],"genre_scores_gemma":[0.587036,0.00048553708,0.39282912,0.00018372668,0.00021830133,0.0011018735,0.00019290506,0.000088294204,0.017864242],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996024,0.000039476163,0.000034302848,0.0001334919,0.00015793071,0.000032432155],"domain_scores_gemma":[0.9996947,0.00004480762,0.00005807624,0.00004063898,0.00014201601,0.000019815909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069553626,0.0008283052,0.0005359662,0.0006336228,0.00071264495,0.0009877534,0.0012566497,0.000965107,0.0048093186],"category_scores_gemma":[0.0005882047,0.00035078672,0.0005851168,0.0003585366,0.00047010442,0.00061927974,0.00080853957,0.00067666784,0.0012399022],"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":[0.0002870698,0.00019333522,0.0013076994,0.0007871596,0.000159287,0.00069972407,0.00034891092,0.31733105,0.16763802,0.06279863,0.0059363893,0.4425127],"study_design_scores_gemma":[0.00022602169,0.0011828501,0.0012222697,0.000091208654,0.000101677666,0.00056972203,0.00004236587,0.9236552,0.028706018,0.0067486563,0.037381027,0.00007299274],"about_ca_topic_score_codex":0.0013593995,"about_ca_topic_score_gemma":0.0009255749,"teacher_disagreement_score":0.0048093186,"about_ca_system_score_codex":0.00033238207,"about_ca_system_score_gemma":0.00089126086,"threshold_uncertainty_score":0.016088784},"labels":[],"label_agreement":null},{"id":"W2611310856","doi":"10.2316/journal.201.2015.4.201-2730","title":"ON ADAPTIVE ITERATIVE LEARNING CONTROL ALGORITHM FOR DISCRETE-TIME SYSTEMS WITH PARAMETRIC UNCERTAINTIES SUBJECT TO SECOND-ORDER INTERNAL MODEL","year":2015,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative learning control; Adaptive control; Parametric statistics; Control theory (sociology); Iterative method; Discrete time and continuous time; Internal model; Computer science; Mathematics; Mathematical optimization; Algorithm; Control (management); Artificial intelligence","score_opus":0.014358178691162307,"score_gpt":0.22810222916554257,"score_spread":0.21374405047438028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611310856","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044196546,0.00036176678,0.9922948,0.000094260875,0.000047771548,0.000038210932,0.000007893035,0.00012285684,0.002612758],"genre_scores_gemma":[0.737902,0.001493851,0.2502485,0.00020838593,0.00015895128,0.0007884618,0.00018465739,0.00008287984,0.008932279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994567,0.0001448907,0.000033644286,0.00009072841,0.0002186268,0.000055405864],"domain_scores_gemma":[0.9994265,0.00027998132,0.00006740706,0.000034144734,0.00017231244,0.00001974228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095519435,0.0009166477,0.001137908,0.00046492758,0.00054576073,0.0009514794,0.0012255138,0.0011075748,0.0017762596],"category_scores_gemma":[0.0020509562,0.00034890466,0.00071293267,0.00082215125,0.0009863864,0.000818773,0.0011388394,0.0016160681,0.00034717997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067775545,0.000039895654,0.00045928202,0.0002120588,0.000059134334,0.00013560429,0.0002932401,0.87029356,0.003980156,0.030381365,0.0012714523,0.09280653],"study_design_scores_gemma":[0.000008149472,0.00004710639,0.000048879814,0.000008889441,0.0000042334623,0.000022749982,0.0000048026477,0.9965798,0.0003292458,0.0023352972,0.0006045639,0.000006267592],"about_ca_topic_score_codex":0.008648772,"about_ca_topic_score_gemma":0.0034593116,"teacher_disagreement_score":0.008648772,"about_ca_system_score_codex":0.0006748877,"about_ca_system_score_gemma":0.0013948726,"threshold_uncertainty_score":0.017196894},"labels":[],"label_agreement":null},{"id":"W2613621103","doi":"10.1109/icit.2017.7915464","title":"Geogebra as a tool of design of ultrafast and robust controller","year":2017,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"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); Nyquist plot; Bandwidth (computing); Nyquist stability criterion; Sensitivity (control systems); Bode plot; Pole–zero plot; Settling time; Computer science; Controller (irrigation); Complex plane; Transfer function; Frequency response; Loop gain; Step response; Mathematics; Electronic engineering; Control engineering; Engineering; Physics; Telecommunications; Voltage","score_opus":0.01477945040430338,"score_gpt":0.2120462563324313,"score_spread":0.19726680592812793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613621103","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006325797,0.000030161968,0.9962878,0.000021201346,0.000008177075,0.0000135540395,0.00002133853,0.0016601841,0.00132497],"genre_scores_gemma":[0.09455203,0.00022643736,0.89712495,0.000117722564,0.000030675696,0.00040028896,0.00017088884,0.0006222498,0.0067547737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993862,0.00022077313,0.000034356453,0.00010019196,0.00021581324,0.00004279511],"domain_scores_gemma":[0.9995689,0.00022137056,0.000040924762,0.00007172142,0.000078666824,0.000018542572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078240916,0.0007652956,0.00073669135,0.00088666874,0.0003716029,0.0013194914,0.001222079,0.00068442465,0.009406136],"category_scores_gemma":[0.0012897613,0.00040798634,0.0006983086,0.00041538806,0.0010408483,0.0007373629,0.0010813789,0.0011824341,0.0023263309],"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":[0.0002888975,0.00009154582,0.00075788586,0.00071442535,0.00010078303,0.00040259902,0.0007643146,0.21431637,0.04652186,0.45779926,0.008090764,0.2701514],"study_design_scores_gemma":[0.00013057022,0.00031078415,0.00035381643,0.00015934529,0.00005014797,0.0004566297,0.00008901049,0.7342713,0.035632487,0.110078126,0.118391275,0.0000764919],"about_ca_topic_score_codex":0.00091252633,"about_ca_topic_score_gemma":0.0008986343,"teacher_disagreement_score":0.009406136,"about_ca_system_score_codex":0.0004060318,"about_ca_system_score_gemma":0.00069351227,"threshold_uncertainty_score":0.031466722},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009155947,0.00015031891,0.9883376,0.000052783056,0.000043257674,0.000019029103,0.000011597055,0.00028276577,0.0019467727],"genre_scores_gemma":[0.7222299,0.00023383535,0.2711751,0.00007969174,0.00006253365,0.00012305898,0.000069128786,0.00009869865,0.0059280815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.000027540049,0.000011180445,0.000033618628,0.00007442184,0.000015287775],"domain_scores_gemma":[0.9998553,0.000050724193,0.000028155207,0.000021479265,0.000039609105,0.000004757099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003299073,0.00048518146,0.00039149856,0.00020152997,0.00025245134,0.00041455316,0.00040616767,0.0004030541,0.0018044696],"category_scores_gemma":[0.0006696143,0.00030107098,0.00029467884,0.00013263988,0.00030696098,0.00030604462,0.00036399168,0.00040591785,0.00035680563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031364904,0.000083273786,0.00026676635,0.0003569255,0.000073140385,0.00013465989,0.0001903767,0.48410073,0.16257948,0.0486933,0.0019035274,0.30130416],"study_design_scores_gemma":[0.00003503585,0.00019372648,0.00024392962,0.000018551249,0.00001900892,0.00003816538,0.000012420618,0.96573955,0.022267329,0.0067761173,0.0046403394,0.00001573684],"about_ca_topic_score_codex":0.0011037708,"about_ca_topic_score_gemma":0.0016262069,"teacher_disagreement_score":0.0018044696,"about_ca_system_score_codex":0.00022745373,"about_ca_system_score_gemma":0.00036226737,"threshold_uncertainty_score":0.0060365796},"labels":[],"label_agreement":null},{"id":"W2622041540","doi":"10.1002/rnc.3861","title":"Data‐driven high‐order terminal iterative learning control with a faster convergence speed","year":2017,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Iterative learning control; Monotonic function; Convergence (economics); Terminal (telecommunication); Control theory (sociology); Nonlinear system; Computer science; Controller (irrigation); Flexibility (engineering); Data-driven; Mathematical optimization; Control (management); Mathematics; Artificial intelligence","score_opus":0.015795248952833577,"score_gpt":0.25706043243624155,"score_spread":0.24126518348340797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622041540","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025050238,0.00010310051,0.9712796,0.00006446956,0.000037327285,0.000043224987,0.000014782661,0.00026496148,0.0031422102],"genre_scores_gemma":[0.9268112,0.00007698914,0.07027439,0.00006597017,0.000024957106,0.00013420681,0.0000679281,0.000035849574,0.0025085963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994615,0.000089443434,0.00004570145,0.00009577047,0.0002472669,0.00006032799],"domain_scores_gemma":[0.99895465,0.00028488113,0.00012445096,0.00012715436,0.00046701008,0.000041850075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008606149,0.0005221243,0.00060538435,0.00030317684,0.00038829647,0.0007910139,0.0010063148,0.00062477123,0.0015093489],"category_scores_gemma":[0.0014801007,0.0002550565,0.0004874509,0.00028454207,0.00065927213,0.00063231314,0.00080169924,0.001148971,0.0003365481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026761676,0.00010750057,0.0008447837,0.0002448724,0.000046033954,0.000093437135,0.00017712983,0.8721236,0.024788193,0.012407123,0.000936124,0.08796357],"study_design_scores_gemma":[0.00000855353,0.00004470754,0.000100282596,0.000004612383,0.0000027642448,0.000010470224,0.0000032720982,0.9954425,0.0033688052,0.00062741124,0.00037979745,0.000006755593],"about_ca_topic_score_codex":0.0033057719,"about_ca_topic_score_gemma":0.0021327771,"teacher_disagreement_score":0.0033057719,"about_ca_system_score_codex":0.0006099903,"about_ca_system_score_gemma":0.0010740878,"threshold_uncertainty_score":0.0065730214},"labels":[],"label_agreement":null},{"id":"W2626786463","doi":"10.1002/asjc.1569","title":"Computationally‐Light Non‐Lifted Data‐Driven Norm‐Optimal Iterative Learning Control","year":2017,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Iterative learning control; Linearization; Nonlinear system; Computer science; Monotonic function; Norm (philosophy); Convergence (economics); Computational complexity theory; Representation (politics); Mathematical optimization; Iterative method; Control theory (sociology); Process (computing); Mathematics; Algorithm; Control (management); Artificial intelligence; Law","score_opus":0.008617434754288961,"score_gpt":0.2422938658389268,"score_spread":0.23367643108463781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626786463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015989712,0.00008199862,0.9802279,0.00014071703,0.00005563681,0.000044558416,0.000029114193,0.00021256699,0.0032179228],"genre_scores_gemma":[0.9004653,0.00009304419,0.095408,0.000113587215,0.000051560008,0.00017609046,0.000101514466,0.000039959803,0.0035508885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934834,0.00014540734,0.00003531219,0.00008962423,0.000317399,0.000063993175],"domain_scores_gemma":[0.9990103,0.00040259265,0.00010711581,0.00013412006,0.0003017866,0.000044100572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009210829,0.0006366783,0.00080492685,0.0003235608,0.00037035128,0.0009435586,0.0011247322,0.0006281308,0.002149662],"category_scores_gemma":[0.0022491876,0.0002806984,0.00045348366,0.00031383033,0.0010691646,0.0007548731,0.001635219,0.0013696763,0.0003431331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013208324,0.00005331802,0.0002948116,0.00013290785,0.000019707983,0.000076983386,0.000060960236,0.93737906,0.0061618555,0.019122625,0.00074261084,0.035823144],"study_design_scores_gemma":[0.000004215277,0.000015541656,0.00001718783,0.0000018692804,8.0877606e-7,0.0000039276283,0.0000013756315,0.99832076,0.000554036,0.0009504712,0.0001275501,0.000002320952],"about_ca_topic_score_codex":0.0038692274,"about_ca_topic_score_gemma":0.0020745173,"teacher_disagreement_score":0.0038692274,"about_ca_system_score_codex":0.0005998825,"about_ca_system_score_gemma":0.0012978752,"threshold_uncertainty_score":0.00769341},"labels":[],"label_agreement":null},{"id":"W2690055406","doi":"10.1109/ccece.2017.7946672","title":"Realtime implementation of an internal-model-principle signal identifier","year":2017,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Identifier; Internal model; Computer science; SIGNAL (programming language); Set (abstract data type); Identification (biology); Algorithm; Band-pass filter; Filter (signal processing); Component (thermodynamics); Work (physics); Fourier transform; Filtering theory; Adaptive filter; Control theory (sociology); Mathematics; Electronic engineering; Artificial intelligence; Engineering; Mathematical analysis","score_opus":0.015569362181731144,"score_gpt":0.3275114482128166,"score_spread":0.3119420860310854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2690055406","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037001,0.000021490701,0.99373627,0.000045579152,0.00003610428,0.000015615029,0.000008923101,0.0007148891,0.0017209647],"genre_scores_gemma":[0.38081348,0.000083263905,0.6144218,0.000102516424,0.000048480873,0.00012603123,0.00009771575,0.00018300451,0.0041236593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994646,0.00007905087,0.000025998444,0.00010969036,0.00028414448,0.00003658007],"domain_scores_gemma":[0.99944466,0.00019874431,0.000059072197,0.00014296311,0.00013487141,0.000019708852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077412964,0.0003488032,0.0004307223,0.00024157848,0.00021729918,0.0007625039,0.0012307345,0.0006071019,0.0027526373],"category_scores_gemma":[0.0020228992,0.00025783945,0.00033778424,0.00015896585,0.00042178837,0.0007710702,0.00075245596,0.0011784262,0.0011646942],"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":[0.00021784684,0.00020095173,0.0013564404,0.000278253,0.000072062234,0.00019497835,0.000386052,0.22633767,0.20017926,0.10301346,0.0046650926,0.46309793],"study_design_scores_gemma":[0.000017967432,0.00009074949,0.000175192,0.000010014468,0.000008532792,0.000075390766,0.0000074415884,0.96505207,0.025412314,0.0029593103,0.006180032,0.00001090959],"about_ca_topic_score_codex":0.00031337616,"about_ca_topic_score_gemma":0.00033666525,"teacher_disagreement_score":0.0027526373,"about_ca_system_score_codex":0.00026216457,"about_ca_system_score_gemma":0.0005426689,"threshold_uncertainty_score":0.0092085},"labels":[],"label_agreement":null},{"id":"W2691929284","doi":"10.1155/2017/1952594","title":"Parameter Identification and Control Scheme for Monitoring Automatic Thickness Control System with Measurement Delay","year":2017,"lang":"en","type":"article","venue":"Journal of Control Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Control theory (sociology); PID controller; Standard deviation; Control system; Controller (irrigation); Gauge (firearms); System identification; Identification (biology); Computer science; Engineering; Control (management); Control engineering; Mathematics; Statistics; Temperature control; Measure (data warehouse)","score_opus":0.012407052185166396,"score_gpt":0.22489545314885218,"score_spread":0.2124884009636858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2691929284","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02206987,0.00022304895,0.97444475,0.000102832186,0.00006538955,0.00011134748,0.000024381914,0.0008642067,0.0020940595],"genre_scores_gemma":[0.91753924,0.00016256177,0.07926449,0.000086549175,0.000050612154,0.0002682768,0.00006536265,0.000028582072,0.0025341678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914384,0.00011685295,0.00008080493,0.0003220843,0.00026364732,0.000072709285],"domain_scores_gemma":[0.9991321,0.00020613446,0.00019300029,0.0000913981,0.0003472581,0.00003010944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009741826,0.0008374031,0.00068974495,0.0005250416,0.00076245226,0.00090617064,0.0012427049,0.0008997194,0.0016274623],"category_scores_gemma":[0.001691507,0.00029896206,0.00043343852,0.00041916114,0.0006097999,0.0006878823,0.00088086305,0.00087653566,0.00047408158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006021973,0.00019585341,0.0025780688,0.00044504652,0.000110257104,0.00034962528,0.00068778626,0.54925764,0.08127673,0.01110137,0.0022226067,0.35117278],"study_design_scores_gemma":[0.000052606494,0.00024197718,0.0006975109,0.00002061212,0.000027077538,0.00012792787,0.000020000658,0.9849535,0.01101402,0.00085585326,0.0019615176,0.000027389378],"about_ca_topic_score_codex":0.0038754295,"about_ca_topic_score_gemma":0.0019660485,"teacher_disagreement_score":0.0038754295,"about_ca_system_score_codex":0.0006388519,"about_ca_system_score_gemma":0.0011980052,"threshold_uncertainty_score":0.007705748},"labels":[],"label_agreement":null},{"id":"W2732974898","doi":"10.1002/cjce.22934","title":"Constraint data‐driven optimal terminal ILC of end product quality for a class of I/O constrained batch processes","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Iterative learning control; Control theory (sociology); Mathematical optimization; Constraint (computer-aided design); Linearization; Flexibility (engineering); Computer science; Limiter; Nonlinear system; Mathematics; Control (management)","score_opus":0.029049926778973244,"score_gpt":0.26543474325491245,"score_spread":0.2363848164759392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732974898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043820065,0.00016216123,0.95106757,0.00012026287,0.00002334951,0.00006826119,0.000039343147,0.00022125572,0.004477691],"genre_scores_gemma":[0.9740767,0.000066125576,0.024258403,0.00004573148,0.000010024771,0.00009852993,0.00004964896,0.000022868564,0.0013720464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923015,0.00014842917,0.00004379832,0.000193708,0.00025275204,0.00013116468],"domain_scores_gemma":[0.99857545,0.0006500075,0.00027200865,0.000079972386,0.000379197,0.000043434808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014772894,0.0009914516,0.0008947674,0.00042042352,0.0004484184,0.0013363569,0.0012363808,0.00078477623,0.0014437498],"category_scores_gemma":[0.0021150007,0.00039539818,0.0006661031,0.00049906864,0.001040657,0.0007811386,0.00092971924,0.0012465423,0.00017961444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011804997,0.000064415544,0.00037785177,0.000102854996,0.00002649358,0.00006749082,0.00007746603,0.97127503,0.0057130223,0.004287131,0.0003681872,0.017522043],"study_design_scores_gemma":[0.0000060315065,0.000028758,0.00004929958,0.000002184771,0.0000025298389,0.0000027140277,0.0000027606031,0.9984553,0.0010393152,0.00033217086,0.000075882795,0.0000029978241],"about_ca_topic_score_codex":0.009300329,"about_ca_topic_score_gemma":0.0045025307,"teacher_disagreement_score":0.009300329,"about_ca_system_score_codex":0.0011873603,"about_ca_system_score_gemma":0.0015059564,"threshold_uncertainty_score":0.0184924},"labels":[],"label_agreement":null},{"id":"W2739968480","doi":"10.1155/2017/6732459","title":"Iterative Learning Impedance for Lower Limb Rehabilitation Robot","year":2017,"lang":"en","type":"article","venue":"Journal of Healthcare Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Beijing Municipal Science and Technology Commission; National Natural Science Foundation of China; Science and Technology Commission of Shanghai Municipality; Natural Science Foundation of Shanghai","keywords":"Iterative learning control; Robustness (evolution); Impedance control; Computer science; Trajectory; Convergence (economics); Robot; Gait training; Electrical impedance; Iterative method; Artificial intelligence; Rehabilitation; Control theory (sociology); Control (management); Algorithm; Engineering; Physical therapy; Medicine","score_opus":0.008840095551382637,"score_gpt":0.2716538892446295,"score_spread":0.26281379369324687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739968480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017760707,0.00030255792,0.97763777,0.00016587599,0.000038032213,0.00005044844,0.000008573631,0.00050242397,0.003533602],"genre_scores_gemma":[0.9094751,0.00026934542,0.08469494,0.00012525429,0.000036299927,0.00019842964,0.000037765898,0.000033265067,0.005129615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966276,0.00006146619,0.00002754008,0.00007789598,0.00012776372,0.000042641896],"domain_scores_gemma":[0.9996774,0.000112160946,0.00006109925,0.000028115746,0.00010096704,0.00002029045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003939243,0.00052197994,0.0005107562,0.00033196784,0.00044247208,0.0006098941,0.00078507507,0.00073591154,0.0016498051],"category_scores_gemma":[0.0012328951,0.00019226818,0.00032781297,0.00029687586,0.00053786894,0.0005149907,0.0008903743,0.0006280898,0.00038910276],"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":[0.00017315547,0.00013228178,0.0016037603,0.00025375778,0.000054997246,0.00021727948,0.00039468848,0.6772324,0.027675353,0.009580779,0.0015485563,0.28113297],"study_design_scores_gemma":[0.000015216399,0.0001066547,0.00026132484,0.000010060409,0.000008290776,0.00006092141,0.000013840916,0.99415404,0.0025772853,0.0017648396,0.0010175704,0.000009985013],"about_ca_topic_score_codex":0.0032230464,"about_ca_topic_score_gemma":0.0017214818,"teacher_disagreement_score":0.0032230464,"about_ca_system_score_codex":0.00045347176,"about_ca_system_score_gemma":0.0006440207,"threshold_uncertainty_score":0.006408572},"labels":[],"label_agreement":null},{"id":"W2745650441","doi":"10.1002/asjc.1635","title":"An E‐HOIM Based Data‐Driven Adaptive TILC of Nonlinear Discrete‐Time Systems for Non‐Repetitive Terminal Point Tracking","year":2017,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Iterative learning control; Nonlinear system; Internal model; Linearization; Terminal (telecommunication); Computer science; Convergence (economics); Adaptive control; Linear system; Mathematics; Control (management); Artificial intelligence","score_opus":0.015064006730138873,"score_gpt":0.2696035754857114,"score_spread":0.25453956875557254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745650441","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016082035,0.00008012958,0.9811085,0.00006295803,0.0000341968,0.000035047477,0.00001361432,0.00027820357,0.002305408],"genre_scores_gemma":[0.9359368,0.000073565,0.060355425,0.00010918878,0.000031962663,0.00014172832,0.00005813391,0.000034065084,0.003259138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999468,0.00009563,0.000033366992,0.00012944698,0.00020514321,0.00006833808],"domain_scores_gemma":[0.9993518,0.00015928192,0.00011142131,0.00008516953,0.00025776087,0.00003459277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009724467,0.00050356303,0.0007189144,0.00040415235,0.00040609975,0.00081554975,0.0013179277,0.00074120495,0.0015713382],"category_scores_gemma":[0.0014129182,0.0002633076,0.0005422067,0.00036645905,0.00070984795,0.00063793134,0.0011759093,0.0009697076,0.00029472972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021293621,0.00013933369,0.0011305996,0.0001875224,0.00008087258,0.00012148242,0.00024153283,0.8322552,0.020684918,0.013371654,0.0014471757,0.1301268],"study_design_scores_gemma":[0.0000047082845,0.000042975822,0.00006250781,0.0000036496156,0.0000034568832,0.0000076203496,0.0000037506368,0.9979886,0.0012053828,0.00036860394,0.0003041518,0.000004565628],"about_ca_topic_score_codex":0.004028793,"about_ca_topic_score_gemma":0.0029224423,"teacher_disagreement_score":0.004028793,"about_ca_system_score_codex":0.0005867181,"about_ca_system_score_gemma":0.0008806171,"threshold_uncertainty_score":0.008010685},"labels":[],"label_agreement":null},{"id":"W2750866210","doi":"10.1002/asjc.1642","title":"A Nonsmooth Nonlinear Programming Based Predictive Control for Mechanical Servo Systems with Backlash‐like Hysteresis","year":2017,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Science and Technology Commission of Shanghai Municipality; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Backlash; Model predictive control; Control theory (sociology); Nonlinear system; Hysteresis; Servomechanism; Stability (learning theory); Servo; Computer science; Control engineering; Engineering; Control (management); Artificial intelligence; Physics; Machine learning","score_opus":0.006632659724991045,"score_gpt":0.21806947495755769,"score_spread":0.21143681523256663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750866210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037407357,0.0003975464,0.95805776,0.00015201676,0.000055894143,0.000040987474,0.00001720319,0.00015550926,0.0037158006],"genre_scores_gemma":[0.96952885,0.00021034954,0.027206967,0.00006275874,0.000025146135,0.000079645,0.000023453735,0.000012821863,0.002850045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998609,0.000028138747,0.0000055085297,0.000027288828,0.00006527411,0.000012887563],"domain_scores_gemma":[0.9998512,0.000066765715,0.000022191329,0.00000867651,0.000044480603,0.0000066610946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020525235,0.0003418944,0.00040817307,0.00017400346,0.00024485416,0.00043600428,0.0005048352,0.00040067907,0.0009659785],"category_scores_gemma":[0.0003857066,0.00019394502,0.00025291825,0.00018378528,0.00038037502,0.00033050828,0.00032677737,0.0005512922,0.00008050147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082635175,0.000052862757,0.00047331472,0.00018147718,0.000039216662,0.00020784013,0.0001138933,0.9138416,0.015741479,0.008369594,0.00072473317,0.06017138],"study_design_scores_gemma":[0.0000032450382,0.00003091691,0.00007206848,0.0000024961614,0.000002796651,0.000007941285,0.0000032374157,0.9986053,0.0006221932,0.0004250392,0.00022287131,0.0000019315808],"about_ca_topic_score_codex":0.004465511,"about_ca_topic_score_gemma":0.0036137688,"teacher_disagreement_score":0.004465511,"about_ca_system_score_codex":0.00024466094,"about_ca_system_score_gemma":0.00058562896,"threshold_uncertainty_score":0.0088790655},"labels":[],"label_agreement":null},{"id":"W2750878540","doi":"10.3311/ppme.10537","title":"On the Stability of Digital Position Control with Viscous Damping and Coulomb Friction","year":2017,"lang":"en","type":"article","venue":"Periodica Polytechnica Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Viscous damping; Coulomb; Dissipation; Instability; Vibration; Dry friction; Control theory (sociology); Stability (learning theory); Position (finance); Mechanics; Physics; Coulomb friction; Envelope (radar); Classical mechanics; Materials science; Computer science; Control (management); Nonlinear system; Acoustics; Thermodynamics","score_opus":0.006785862542704829,"score_gpt":0.19658825258623477,"score_spread":0.18980239004352994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750878540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5551988,0.0014984956,0.43192908,0.00027055707,0.000053511812,0.00004238812,0.00003738196,0.00015704091,0.0108128125],"genre_scores_gemma":[0.99674195,0.00014988732,0.002548078,0.000010301048,0.000006058215,0.000010770612,0.0000052354035,0.0000056030294,0.00052215374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997713,0.00006374343,0.000009617066,0.000032688185,0.00009395491,0.000028760638],"domain_scores_gemma":[0.9991454,0.00061175006,0.00010595259,0.000045278663,0.000076043296,0.00001553211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005068072,0.00032301556,0.0003504371,0.00031701697,0.00023052892,0.00061450567,0.00024898315,0.00034542917,0.0009592423],"category_scores_gemma":[0.0026825494,0.00012161864,0.00026318512,0.00018375425,0.00084495597,0.0004203832,0.0004537001,0.00026338644,0.00009997797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003591509,0.000058785197,0.0013685159,0.00024799985,0.00006123452,0.00028526917,0.00028552147,0.9064337,0.039799564,0.021469215,0.00016747222,0.02946364],"study_design_scores_gemma":[0.000010252028,0.00008119816,0.0004091762,0.00001150605,0.0000067268115,0.000025222524,0.000015686135,0.9938955,0.003475206,0.0018756208,0.00018852706,0.0000053525355],"about_ca_topic_score_codex":0.0013100547,"about_ca_topic_score_gemma":0.0006823845,"teacher_disagreement_score":0.0013100547,"about_ca_system_score_codex":0.00036351627,"about_ca_system_score_gemma":0.00027272291,"threshold_uncertainty_score":0.0032089949},"labels":[],"label_agreement":null},{"id":"W2754539945","doi":"10.1109/lra.2018.2801471","title":"An Inversion-Based Learning Approach for Improving Impromptu Trajectory Tracking of Robots With Non-Minimum Phase Dynamics","year":2018,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dynamic Systems Analysis (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impromptu; Computer science; Minimum phase; Trajectory; Feed forward; Instability; Inverse dynamics; Inverse; Inversion (geology); Control theory (sociology); Robot; Stability (learning theory); Tracking (education); Artificial intelligence; Phase (matter); Mathematics; Machine learning; Control engineering; Engineering; Physics; Control (management)","score_opus":0.007585371385330385,"score_gpt":0.22362014717818954,"score_spread":0.21603477579285915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754539945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010286187,0.00009921871,0.98830974,0.000051510968,0.000014388371,0.000022267152,0.000007818317,0.00028215657,0.0009267554],"genre_scores_gemma":[0.66929394,0.00017711626,0.32625872,0.00017857506,0.000045228935,0.00012435604,0.0000952631,0.00007897482,0.003747866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971586,0.000039923485,0.000018153589,0.00006573725,0.00012454994,0.000035845387],"domain_scores_gemma":[0.9993286,0.0002591371,0.00011498251,0.00008974733,0.00017770803,0.00002982486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006706614,0.0006497812,0.0006231801,0.0005254822,0.00044222124,0.00044413688,0.0010188663,0.00073795544,0.0016377633],"category_scores_gemma":[0.0019713128,0.00034742313,0.00038912354,0.00043476105,0.00060839765,0.00078425335,0.0009039131,0.0012445326,0.00046329995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018146836,0.00014979216,0.00095744134,0.00016146133,0.00005350726,0.00015832663,0.00030269873,0.5758016,0.04296785,0.0087883435,0.0010607465,0.36941686],"study_design_scores_gemma":[0.000005390206,0.00007501055,0.00010694989,0.000006198406,0.000005652919,0.000038492857,0.00000667179,0.9937343,0.004364388,0.0010663813,0.0005851533,0.0000054594893],"about_ca_topic_score_codex":0.002583589,"about_ca_topic_score_gemma":0.0029537543,"teacher_disagreement_score":0.002583589,"about_ca_system_score_codex":0.00042048463,"about_ca_system_score_gemma":0.0008771974,"threshold_uncertainty_score":0.005478859},"labels":[],"label_agreement":null},{"id":"W2758033803","doi":"10.3390/robotics6040023","title":"On the Development of Learning Control for Robotic Manipulators","year":2017,"lang":"en","type":"article","venue":"Robotics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Robot manipulator; Artificial intelligence; Control engineering; Control (management); Robotics; Computer science; Robotic paradigms; Engineering; Robot","score_opus":0.024994701046983394,"score_gpt":0.24411127530151336,"score_spread":0.21911657425452996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758033803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033615683,0.1107976,0.83509254,0.0022215368,0.0010774415,0.000085954925,0.000028578355,0.00016616809,0.047168665],"genre_scores_gemma":[0.34913355,0.25643077,0.33968633,0.003365992,0.0051249578,0.00052664994,0.00019628725,0.00017154381,0.04536393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900573,0.00024493862,0.000077427205,0.00019700319,0.00042501304,0.000049934915],"domain_scores_gemma":[0.99896026,0.00057807594,0.000057132103,0.00005866062,0.00031142257,0.000034428544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014547518,0.0008639366,0.0009446438,0.0008113888,0.00040662484,0.0011549102,0.0013025898,0.0017877333,0.002286405],"category_scores_gemma":[0.0022776653,0.0004007448,0.00082764844,0.00096766656,0.0021228772,0.0021824683,0.0011125713,0.0031429958,0.0007860546],"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":[0.000045100725,0.00009080402,0.00022155826,0.0016362863,0.00007011112,0.00020403315,0.0003483356,0.07304908,0.0035552364,0.6416235,0.0050575873,0.27409834],"study_design_scores_gemma":[0.00004948182,0.00056944205,0.00062178355,0.0012822623,0.00007728954,0.00048522302,0.00011113974,0.2489885,0.006383233,0.47302514,0.2682719,0.00013469243],"about_ca_topic_score_codex":0.0012735588,"about_ca_topic_score_gemma":0.0005572118,"teacher_disagreement_score":0.002286405,"about_ca_system_score_codex":0.0012523499,"about_ca_system_score_gemma":0.0009852439,"threshold_uncertainty_score":0.00908649},"labels":[],"label_agreement":null},{"id":"W2765892911","doi":"10.1016/j.ifacol.2017.08.1368","title":"Control of an electromechanical clutch actuator by a parallel Adaptive Feedforward and Bang-Bang controller: Simulation and Experimental results","year":2017,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Feed forward; Clutch; Control theory (sociology); Bang–bang control; Actuator; Controller (irrigation); Adaptive control; Control (management); Control engineering; Computer science; Engineering; Optimal control; Mathematics; Automotive engineering; Biology","score_opus":0.010396970987852042,"score_gpt":0.26345712853284486,"score_spread":0.25306015754499284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765892911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93776125,0.0004927684,0.049968798,0.00014785364,0.00010231486,0.00024521924,0.00028095228,0.0011308381,0.009869998],"genre_scores_gemma":[0.9956748,0.00006264514,0.0029268817,0.000009353367,0.0000025541826,0.00009608313,0.000059787864,0.000008566075,0.0011592928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997092,0.00004708566,0.00002651093,0.00004080271,0.00011165628,0.00006476916],"domain_scores_gemma":[0.9990783,0.0003454266,0.00012476857,0.00010169872,0.00029055055,0.0000591696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006559776,0.00064939365,0.00063080864,0.00055042794,0.00041538567,0.0005156339,0.0009707623,0.0009734645,0.002786429],"category_scores_gemma":[0.00067703676,0.0002224013,0.000527152,0.0002709068,0.00047260142,0.00032318375,0.0004127259,0.000557287,0.00026287817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012809591,0.00081587106,0.0036890092,0.0014660506,0.00015897286,0.000642427,0.00053570775,0.8783446,0.07588994,0.0017062612,0.0010907665,0.034379493],"study_design_scores_gemma":[0.00018541583,0.0014392307,0.002563836,0.000034215464,0.000047397574,0.000057966878,0.00012622647,0.9674439,0.026924275,0.00019283874,0.0009543019,0.000030473135],"about_ca_topic_score_codex":0.0063010463,"about_ca_topic_score_gemma":0.002793691,"teacher_disagreement_score":0.0063010463,"about_ca_system_score_codex":0.00041732294,"about_ca_system_score_gemma":0.00045461205,"threshold_uncertainty_score":0.0125287175},"labels":[],"label_agreement":null},{"id":"W2767529605","doi":"10.1109/tmech.2017.2771260","title":"Constrained Trajectory Generation and Control for a 9-Axis Micromachining Center With Four Redundant Axes","year":2017,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Kinematics; Trajectory; Servo; Machine tool; Surface micromachining; Servomotor; Position (finance); Tracking error; Computer science; Engineering; Control engineering; Mechanical engineering; Physics; Control (management); Artificial intelligence","score_opus":0.016638023411303427,"score_gpt":0.22671701984956136,"score_spread":0.21007899643825792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767529605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0314317,0.000074685166,0.966594,0.00005593981,0.000018633616,0.000047029193,0.000020460693,0.00031598684,0.0014415439],"genre_scores_gemma":[0.74306756,0.00007408025,0.25404498,0.000029156075,0.000011810909,0.00013186285,0.00007181125,0.000040281615,0.002528461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986005,0.00001800042,0.0000066943003,0.000038242324,0.000057683308,0.000019315778],"domain_scores_gemma":[0.9998311,0.000038872888,0.00004810848,0.000016868542,0.00004935414,0.000015593534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032390057,0.0005380279,0.00037522195,0.00020755116,0.0004174272,0.00038222523,0.00071444054,0.0003903928,0.0014159638],"category_scores_gemma":[0.00034466354,0.0002474194,0.00021435568,0.00023171601,0.00035073873,0.0003151877,0.0005082052,0.00045083574,0.00022139993],"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":[0.00024230017,0.00007245044,0.0008742572,0.00013925252,0.000034100343,0.0002525879,0.00027313453,0.76842517,0.053609516,0.012980313,0.0014763584,0.16162042],"study_design_scores_gemma":[0.000019540288,0.0000876013,0.00016987609,0.0000051019942,0.0000042875504,0.000031312124,0.000010451674,0.99368733,0.0044444697,0.0005671381,0.0009666306,0.0000062735135],"about_ca_topic_score_codex":0.0049508815,"about_ca_topic_score_gemma":0.004571123,"teacher_disagreement_score":0.0049508815,"about_ca_system_score_codex":0.0005395871,"about_ca_system_score_gemma":0.0007518768,"threshold_uncertainty_score":0.009844124},"labels":[],"label_agreement":null},{"id":"W2768458048","doi":"10.1016/j.rcim.2017.11.017","title":"Position domain nonlinear PD control for contour tracking of robotic manipulator","year":2017,"lang":"en","type":"article","venue":"Robotics and Computer-Integrated Manufacturing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Position (finance); Nonlinear system; Domain (mathematical analysis); Tracking (education); Computer science; Contouring; Motion control; Controller (irrigation); Artificial intelligence; Time domain; Control engineering; Computer vision; Engineering; Control (management); Robot; Mathematics","score_opus":0.011840632024484704,"score_gpt":0.22349790727288213,"score_spread":0.21165727524839742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768458048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029541949,0.00020901093,0.966615,0.000077984536,0.000047968508,0.000020735939,0.000014130947,0.00012013366,0.003353024],"genre_scores_gemma":[0.94524354,0.00022047514,0.049155336,0.000037546866,0.000023684803,0.00005435898,0.000039877512,0.00001951349,0.0052058245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999925,0.00001448006,0.0000035895766,0.000019805697,0.00003143491,0.0000056207296],"domain_scores_gemma":[0.999863,0.000042687632,0.000024007693,0.000015726713,0.000049351198,0.000005246151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022632883,0.0002785696,0.0002001428,0.00015400819,0.00021163622,0.0003608595,0.00039977217,0.00030079696,0.0010729858],"category_scores_gemma":[0.0006657714,0.00012330142,0.00014907199,0.00022818468,0.00036275032,0.0003197488,0.0003804222,0.00033567895,0.00016003914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027034953,0.00007317018,0.0005551819,0.00025755854,0.000026022464,0.000123316,0.00021304717,0.7073371,0.038934026,0.021554904,0.002005036,0.22865036],"study_design_scores_gemma":[0.000008479571,0.000064983484,0.00015676105,0.000004809943,0.0000030708188,0.000019932706,0.0000057981265,0.99482745,0.002478504,0.0016304652,0.0007959016,0.0000038518274],"about_ca_topic_score_codex":0.0023722923,"about_ca_topic_score_gemma":0.0015330126,"teacher_disagreement_score":0.0023722923,"about_ca_system_score_codex":0.00027478326,"about_ca_system_score_gemma":0.0003190667,"threshold_uncertainty_score":0.004716933},"labels":[],"label_agreement":null},{"id":"W2768918552","doi":"10.1002/cjce.23080","title":"Hybrid iterative learning fault‐tolerant guaranteed cost control design for multi‐phase batch processes","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Iterative learning control; Controller (irrigation); Actuator; Computer science; Convergence (economics); Dwell time; Mathematical optimization; Fault tolerance; Convex optimization; Mathematics; Regular polygon; Control (management)","score_opus":0.022046433548832834,"score_gpt":0.24926245517165818,"score_spread":0.22721602162282534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768918552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027251797,0.00020244313,0.96958745,0.00009834463,0.000039815695,0.000052178464,0.000019971121,0.0002222561,0.0025256714],"genre_scores_gemma":[0.9625212,0.0000822649,0.035802316,0.000050619234,0.000018567263,0.00015521099,0.00003412848,0.00001499696,0.0013206883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919194,0.0001482167,0.000044735567,0.00021289173,0.00031238847,0.000089706045],"domain_scores_gemma":[0.99936706,0.00019361632,0.00016810356,0.000047334866,0.0002006037,0.000023333581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010892261,0.000838104,0.0008840553,0.00033968373,0.0004566096,0.0010501876,0.0014467948,0.00087852654,0.0011814868],"category_scores_gemma":[0.0012183163,0.00039878918,0.00058302365,0.00032855105,0.00070542167,0.00050091546,0.0008114927,0.00072617194,0.00019141505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015744766,0.00005922176,0.00035803067,0.00014173068,0.00005703644,0.0000845455,0.00011394648,0.9435369,0.013930234,0.00643088,0.0003938952,0.03473608],"study_design_scores_gemma":[0.000011867446,0.00006471523,0.00007112208,0.0000026526382,0.0000047428584,0.000005978725,0.0000027510252,0.9982778,0.0010169771,0.00035026434,0.0001875557,0.0000036018364],"about_ca_topic_score_codex":0.005416792,"about_ca_topic_score_gemma":0.0026032424,"teacher_disagreement_score":0.005416792,"about_ca_system_score_codex":0.0010135319,"about_ca_system_score_gemma":0.0010447536,"threshold_uncertainty_score":0.0107705},"labels":[],"label_agreement":null},{"id":"W2772869917","doi":"10.1109/iros.2017.8206089","title":"Industrial-scale autonomous wheeled-vehicle path following by combining iterative learning control with feedback linearization","year":2017,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Iterative learning control; Feedback linearization; Control theory (sociology); Linearization; Computer science; Control engineering; Nonlinear system; Path (computing); Computation; Trajectory; Control (management); Nonlinear control; Scale (ratio); Field (mathematics); Vehicle dynamics; Engineering; Artificial intelligence; Mathematics; Algorithm; Aerospace engineering","score_opus":0.00760537425939948,"score_gpt":0.20371918263729813,"score_spread":0.19611380837789866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772869917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031437945,0.00010663858,0.9651679,0.000061243976,0.000018909172,0.00006695998,0.000007810723,0.0007393479,0.0023932594],"genre_scores_gemma":[0.8005629,0.00007271155,0.1972546,0.000045713197,0.000015943646,0.00011821332,0.000026444206,0.000039340925,0.0018640822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970835,0.000053113545,0.000015975284,0.000058371992,0.00013754591,0.000026676571],"domain_scores_gemma":[0.9996445,0.000118381264,0.000061004957,0.000052414667,0.00010329327,0.000020310632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045255522,0.00044105778,0.00035638324,0.00026530641,0.00033170747,0.00035964904,0.0008815439,0.0003417955,0.0007215573],"category_scores_gemma":[0.0006952007,0.00022859733,0.0002480853,0.00022889308,0.0005256537,0.00045153784,0.0006434587,0.00041044576,0.00019957799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098148295,0.00014879074,0.0018205084,0.00017538639,0.000067748835,0.00012466089,0.00035902712,0.6300192,0.065253355,0.0043872516,0.0008758902,0.29666993],"study_design_scores_gemma":[0.000014981977,0.00017402427,0.00027192928,0.000007860906,0.000009927597,0.00003774484,0.000013836548,0.9879766,0.009137167,0.0007074833,0.0016340883,0.000014342196],"about_ca_topic_score_codex":0.0054689404,"about_ca_topic_score_gemma":0.0048612016,"teacher_disagreement_score":0.0054689404,"about_ca_system_score_codex":0.00041138215,"about_ca_system_score_gemma":0.00075158314,"threshold_uncertainty_score":0.010874212},"labels":[],"label_agreement":null},{"id":"W2783829880","doi":"10.1109/iris.2017.8250089","title":"A brief review and discussion on learning control of robotic manipulators","year":2017,"lang":"en","type":"review","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot manipulator; Computer science; Control (management); Control engineering; Artificial intelligence; Robotics; Robot; Engineering","score_opus":0.04351140185791934,"score_gpt":0.31523746215906767,"score_spread":0.2717260603011483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783829880","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001915325,0.9943346,0.00114589,0.0002977417,0.0005069463,0.0000072186263,0.000030227227,0.000016479113,0.0034693684],"genre_scores_gemma":[0.0016946243,0.99474263,0.0007202589,0.00028625544,0.00062042935,0.0000116705305,0.000057743324,0.0000047929207,0.0018616555],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997695,0.00002645232,0.00003313077,0.000056711346,0.0000920689,0.000022092448],"domain_scores_gemma":[0.9996049,0.000201509,0.000051219256,0.000012930831,0.00010531522,0.000024095389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046794926,0.0009299031,0.0010474151,0.0023264284,0.00036854958,0.0009448837,0.000936629,0.0012827361,0.0064962725],"category_scores_gemma":[0.0007569682,0.0003811182,0.0006003587,0.002960279,0.00043710705,0.0019105386,0.0006496936,0.0012041121,0.00321106],"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":[0.000063596446,0.0001172964,0.0002655491,0.03617502,0.00009592856,0.00034864055,0.00013659407,0.002318028,0.004240083,0.02139449,0.05474014,0.8801046],"study_design_scores_gemma":[0.0000066721623,0.000083133986,0.0004335573,0.0030102318,0.00006555981,0.00064402877,0.000045602694,0.00035688793,0.0007288997,0.0044853906,0.99010986,0.000030164862],"about_ca_topic_score_codex":0.00094858336,"about_ca_topic_score_gemma":0.0010789689,"teacher_disagreement_score":0.0064962725,"about_ca_system_score_codex":0.00048827933,"about_ca_system_score_gemma":0.0012049995,"threshold_uncertainty_score":0.021732211},"labels":[],"label_agreement":null},{"id":"W2788138129","doi":"10.1016/j.jprocont.2017.11.007","title":"A new robust controller for non-linear periodic single-input/single-output systems using genetic algorithms","year":2018,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Iterative Learning 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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Crossover; Process (computing); Controller (irrigation); Computer science; Control theory (sociology); Genetic algorithm; Control engineering; Algorithm; Engineering; Control (management); Artificial intelligence; Machine learning","score_opus":0.027293308338173432,"score_gpt":0.2568019261333928,"score_spread":0.2295086177952194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788138129","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010084621,0.00019404804,0.9871001,0.00005124925,0.0000744612,0.00003999461,0.000010471107,0.00049982517,0.0019452347],"genre_scores_gemma":[0.60328984,0.00028526635,0.3914525,0.00013674507,0.000077101984,0.00029392194,0.00008099406,0.000109272914,0.0042742947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997693,0.00003200593,0.000012698254,0.000071036025,0.0000918696,0.000023004688],"domain_scores_gemma":[0.99972504,0.000101036974,0.00004766517,0.000025019377,0.00008908118,0.00001222239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051151944,0.000787296,0.0008866193,0.0005396571,0.00041698333,0.0008089172,0.0011853059,0.0011025834,0.0014580612],"category_scores_gemma":[0.0008903866,0.00033070557,0.0006136462,0.00031543782,0.00050552905,0.00047358655,0.0005367039,0.00065978465,0.0003208946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103352024,0.00008825039,0.00026091505,0.00015955076,0.00014139702,0.0001907545,0.000099386416,0.8052321,0.029493978,0.0103999,0.0010777542,0.15275264],"study_design_scores_gemma":[0.000019387753,0.000043998385,0.00008058663,0.0000052590444,0.000015135816,0.00002331579,0.0000024633532,0.9971595,0.0015195333,0.0006353696,0.00048824126,0.0000073686906],"about_ca_topic_score_codex":0.0032659867,"about_ca_topic_score_gemma":0.0031421848,"teacher_disagreement_score":0.0032659867,"about_ca_system_score_codex":0.00041545497,"about_ca_system_score_gemma":0.0006215658,"threshold_uncertainty_score":0.006493926},"labels":[],"label_agreement":null},{"id":"W2799336444","doi":"10.1139/tcsme-2016-0061","title":"PERFORMANCE INVESTIGATION OF AN SI ENGINE WITH VARIABLE VALVE TIMING AND LIFT BASED ON A MAGNETO-RHEOLOGICAL VALVE","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valve timing; Lift (data mining); Torque; Valve actuator; Four-stroke engine; Volumetric efficiency; Needle valve; Cylinder; Globe valve; Mechanical engineering; Materials science; Automotive engineering; Mechanics; Ball valve; Control theory (sociology); Engineering; Computer science; Internal combustion engine; Physics; Combustion chamber; Combustion; Chemistry","score_opus":0.00808371709019157,"score_gpt":0.1739521482342652,"score_spread":0.16586843114407362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799336444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99523586,0.000112044494,0.0035648325,0.000026615211,0.00001929205,0.000008258953,0.000029738654,0.000110388544,0.0008929423],"genre_scores_gemma":[0.9989304,0.000036577574,0.0007622179,0.0000029925225,0.0000016789523,0.0000029063913,0.000023455346,0.0000045067,0.0002351285],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998035,0.000021571923,0.000014906624,0.00003299782,0.00008700071,0.000040020765],"domain_scores_gemma":[0.99974066,0.000064035274,0.000033901466,0.00003209539,0.000088562556,0.000040827897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037745992,0.00033626496,0.00045801263,0.00037026108,0.0002972134,0.0003433149,0.0005400952,0.00030629244,0.00063412153],"category_scores_gemma":[0.00045245944,0.00020158994,0.00037007016,0.000194667,0.00031579167,0.000367044,0.000268823,0.00023977418,0.0001382558],"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":[0.0016686234,0.00021825597,0.00734437,0.00034905953,0.000074981996,0.00031847358,0.00018939257,0.0403503,0.9278862,0.00077224383,0.0002787017,0.020549402],"study_design_scores_gemma":[0.00015288468,0.0035973212,0.021989288,0.000018000195,0.000113523696,0.00024830832,0.00016580969,0.46694753,0.5048295,0.00016537114,0.0016962064,0.00007627489],"about_ca_topic_score_codex":0.0020458465,"about_ca_topic_score_gemma":0.0016251659,"teacher_disagreement_score":0.0020458465,"about_ca_system_score_codex":0.0002438117,"about_ca_system_score_gemma":0.0003242828,"threshold_uncertainty_score":0.004067898},"labels":[],"label_agreement":null},{"id":"W2799435507","doi":"10.1139/tcsme-2002-0009","title":"EFFECTS OF BALANCING ON DYNAMIC INSTABILITY OF FLEXIBLE FOUR-BAR MECHANISMS","year":2002,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Instability; Inertia; Bar (unit); Mechanism (biology); Control theory (sociology); Mechanics; Moment of inertia; Physics; Dynamic balance; Computer science; Classical mechanics","score_opus":0.006556678198201696,"score_gpt":0.17934434956947223,"score_spread":0.17278767137127055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799435507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98302126,0.00029281303,0.0128329955,0.00005390622,0.000021896587,0.000010788814,0.000010387263,0.00006798909,0.0036879852],"genre_scores_gemma":[0.99949586,0.000037428832,0.0003371317,0.0000051250145,0.0000025861948,0.0000020408131,0.0000036586991,0.0000023755717,0.00011377332],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981683,0.000045024542,0.0000108145705,0.000017049766,0.00006214833,0.00004813983],"domain_scores_gemma":[0.99915946,0.00043470427,0.00020198707,0.00004661097,0.00009653367,0.000060770253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022902449,0.00046619144,0.00023009631,0.0004983323,0.00036907295,0.0003898095,0.00019636212,0.00040210306,0.001594587],"category_scores_gemma":[0.0021108505,0.00012276351,0.00023166677,0.0001433748,0.000418482,0.00040788387,0.0005468985,0.00019111378,0.00014228877],"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":[0.001978566,0.00014267051,0.0064807115,0.00023607205,0.00007437424,0.00106521,0.0002069404,0.22270533,0.69978714,0.0033697775,0.00017262739,0.06378051],"study_design_scores_gemma":[0.00015704986,0.0030999912,0.034690082,0.0000646296,0.00020540244,0.00086551177,0.00045043413,0.64857763,0.30528232,0.0045968033,0.0019077783,0.00010240678],"about_ca_topic_score_codex":0.00037316242,"about_ca_topic_score_gemma":0.0003263642,"teacher_disagreement_score":0.001594587,"about_ca_system_score_codex":0.00015929452,"about_ca_system_score_gemma":0.00008836584,"threshold_uncertainty_score":0.0053343773},"labels":[],"label_agreement":null},{"id":"W2800100474","doi":"10.1139/tcsme-2002-0020","title":"AUTOMATIC PARALLELIZATION OF ELECTRO-MECHANICAL SYSTEMS GOVERNED BY ODEs","year":2002,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Hydro-Québec; CAE (Canada); Université de Montréal; Natural Sciences and Engineering Research Council of Canada; McGill University; Université du Québec à Trois-Rivières; Defence Research and Development Canada","funders":"","keywords":"Computer science; Ordinary differential equation; Ode; Revolute joint; Block (permutation group theory); Code (set theory); Differential equation; Set (abstract data type); Block diagram; Numerical integration; Mechanical system; Differential (mechanical device); Algorithm; Parallel computing; Applied mathematics; Robot; Mathematics; Engineering; Programming language","score_opus":0.007017195589860284,"score_gpt":0.17351451155488298,"score_spread":0.1664973159650227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800100474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013080206,0.00006191124,0.9842412,0.000056670462,0.000021436514,0.000029638471,0.000019276062,0.0009061479,0.0015836064],"genre_scores_gemma":[0.54601413,0.00030163265,0.4488407,0.00006010257,0.000036875463,0.00021797675,0.00019121991,0.00039885342,0.0039385604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996816,0.00008212073,0.000026737085,0.000053335254,0.00012270156,0.000033547207],"domain_scores_gemma":[0.9995352,0.00018183253,0.000051449933,0.000121956735,0.000091304886,0.000018314116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004582262,0.000575966,0.00072936603,0.000289025,0.0003955337,0.00051509164,0.00071974896,0.0002672483,0.0018913796],"category_scores_gemma":[0.0014370402,0.0003641012,0.00062604796,0.00022931774,0.00050940044,0.0008043097,0.0010840963,0.00087692245,0.00043208597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011223233,0.00006365806,0.00072263274,0.00014300461,0.000051194314,0.00019791292,0.00019956374,0.7990255,0.027717488,0.048800398,0.0009583619,0.122008175],"study_design_scores_gemma":[0.000011678008,0.000013742785,0.00004906868,0.000003348519,0.0000048252255,0.000020050094,0.000008687882,0.98645914,0.0043741344,0.007630496,0.0014207672,0.000004101584],"about_ca_topic_score_codex":0.0025049034,"about_ca_topic_score_gemma":0.0024226303,"teacher_disagreement_score":0.0025049034,"about_ca_system_score_codex":0.00042119191,"about_ca_system_score_gemma":0.0008257378,"threshold_uncertainty_score":0.0063272715},"labels":[],"label_agreement":null},{"id":"W2800184827","doi":"10.1139/tcsme-2007-0011","title":"AN INDEPENDENT ACTIVE BALANCER FOR PLANAR MECHANISMS","year":2007,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Linkage (software); Planar; Control theory (sociology); Mechanism (biology); Coupling (piping); Computer science; Vibration; Joint (building); Control engineering; Control (management); Engineering; Mechanical engineering; Structural engineering; Physics","score_opus":0.007032303170448667,"score_gpt":0.21072032403768745,"score_spread":0.20368802086723878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800184827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01907206,0.00047784572,0.97495836,0.00006564726,0.00008502966,0.000061075705,0.000017405562,0.00035297396,0.0049095466],"genre_scores_gemma":[0.69221526,0.00076783035,0.2929694,0.0001226201,0.00016057321,0.00026550202,0.00008758049,0.000062222076,0.0133490525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953055,0.000048443497,0.000019821158,0.000115628645,0.00024827383,0.000037351678],"domain_scores_gemma":[0.9998104,0.00003259029,0.000052028798,0.000027025257,0.000058605707,0.000019325687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041009646,0.0006680711,0.0005173117,0.00074054266,0.00036927778,0.0006461611,0.0018719629,0.00077734306,0.0035363382],"category_scores_gemma":[0.000500909,0.00034164355,0.00060038845,0.0003433581,0.0005938705,0.0011943306,0.0010016618,0.0005425282,0.0008931583],"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":[0.00022230957,0.00012893118,0.00053818757,0.00063454645,0.00008328289,0.00034742765,0.00022152883,0.054912224,0.5270908,0.07165032,0.0014405007,0.34272996],"study_design_scores_gemma":[0.0003093333,0.003897251,0.002225949,0.00016812884,0.00029019127,0.0019356135,0.00013295533,0.6642815,0.19788265,0.022566393,0.10607758,0.00023247581],"about_ca_topic_score_codex":0.0001510297,"about_ca_topic_score_gemma":0.00018821008,"teacher_disagreement_score":0.0035363382,"about_ca_system_score_codex":0.00021532315,"about_ca_system_score_gemma":0.0002649538,"threshold_uncertainty_score":0.01183027},"labels":[],"label_agreement":null},{"id":"W2800268692","doi":"10.1139/tcsme-2013-0047","title":"ADAPTIVE ITERATIVE LEARNING CONTROL OF ROBOTIC SYSTEMS USING BACKSTEPPING DESIGN","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Backstepping; Iterative learning control; Control theory (sociology); Bounded function; Adaptive control; Controller (irrigation); Computer science; Lyapunov function; Control engineering; Control (management); Artificial intelligence; Mathematics; Engineering; Nonlinear system","score_opus":0.01628338381821252,"score_gpt":0.1919103676764929,"score_spread":0.17562698385828038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800268692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0093383705,0.00016855683,0.98804116,0.00005038677,0.000031421216,0.000040288927,0.00000522147,0.00023864131,0.0020860024],"genre_scores_gemma":[0.8152492,0.00033804832,0.17969182,0.00011986655,0.000049285634,0.00029323198,0.00004824634,0.000041607964,0.00416869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952745,0.000115590796,0.000028464907,0.00007606693,0.00021910002,0.00003326717],"domain_scores_gemma":[0.99954,0.00020210196,0.00006340702,0.000046314195,0.00013154688,0.000016680853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006736931,0.0006042387,0.0004439413,0.00024978063,0.00025217517,0.00053187914,0.0008097613,0.0006105266,0.00092279364],"category_scores_gemma":[0.0014651086,0.00019351627,0.00041607005,0.0002808122,0.00067110325,0.00043172596,0.0006665082,0.0007465567,0.000224938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012736507,0.00010388059,0.00048774437,0.00030457333,0.00009058276,0.00019895555,0.00038199153,0.7619169,0.040205557,0.025130836,0.0008555948,0.17019606],"study_design_scores_gemma":[0.000018516961,0.00016760419,0.000098220575,0.000011331051,0.0000075439903,0.000034618104,0.0000072523703,0.9921674,0.0036186473,0.0027126323,0.0011465525,0.000009588725],"about_ca_topic_score_codex":0.0021966456,"about_ca_topic_score_gemma":0.0013578287,"teacher_disagreement_score":0.0021966456,"about_ca_system_score_codex":0.00033019678,"about_ca_system_score_gemma":0.0006215255,"threshold_uncertainty_score":0.0043677688},"labels":[],"label_agreement":null},{"id":"W2800692878","doi":"10.1139/tcsme-2005-0019","title":"DIGITAL REDESIGN OF A STEPPING-MOTOR DRIVER IN THE PRESENCE OF COMPUTATIONAL DELAYS AND DISTURBANCES","year":2005,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Control theory (sociology); Sampling (signal processing); Stability (learning theory); Controller (irrigation); Control engineering; Sampling time; Disturbance (geology); Interval (graph theory); Engineering; Mathematics; Artificial intelligence; Control (management); Telecommunications","score_opus":0.006843913442616321,"score_gpt":0.18654163659377343,"score_spread":0.17969772315115712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800692878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03516863,0.000110989866,0.959717,0.00006347964,0.000097819386,0.00014046593,0.000016717235,0.0015247157,0.0031601596],"genre_scores_gemma":[0.72808665,0.00009811949,0.26547775,0.00006324748,0.00002739333,0.00012928696,0.00004382128,0.00007025819,0.0060034897],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980587,0.00003490368,0.000013113895,0.000040456714,0.00008997998,0.000015729474],"domain_scores_gemma":[0.9996327,0.00011626258,0.000054930286,0.000083411695,0.00009242568,0.000020151414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003253037,0.0004967999,0.00029686763,0.0002671874,0.00024318694,0.00043558012,0.00075641443,0.00039499128,0.002065825],"category_scores_gemma":[0.0008962836,0.00017135819,0.00018149942,0.0001209857,0.0003059425,0.0003551133,0.0002850349,0.00042764348,0.0003430998],"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":[0.0005097683,0.00019345431,0.0011470761,0.00053982396,0.00007834641,0.00064230984,0.00040175635,0.099898376,0.29608956,0.011963449,0.001986788,0.58654934],"study_design_scores_gemma":[0.00006838251,0.0009832364,0.0013989807,0.000032693533,0.000049872993,0.00083344313,0.00006642028,0.83048815,0.1415227,0.0021344384,0.022375816,0.000045845754],"about_ca_topic_score_codex":0.00058232417,"about_ca_topic_score_gemma":0.0007876269,"teacher_disagreement_score":0.002065825,"about_ca_system_score_codex":0.00023742147,"about_ca_system_score_gemma":0.0002833342,"threshold_uncertainty_score":0.00691092},"labels":[],"label_agreement":null},{"id":"W2801704470","doi":"10.1139/tcsme-2016-0058","title":"DESIGN OF A FUZZY-PID CONTROLLER FOR A NANOSCALE X-Y PLATFORM","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chung Yuan Christian University","keywords":"PID controller; Mechanism (biology); Control theory (sociology); Controller (irrigation); Fuzzy logic; Pantograph; Computer science; Nanoscopic scale; Control engineering; Positioning system; Rotation (mathematics); Engineering; Control (management); Mechanical engineering; Physics; Materials science; Artificial intelligence; Temperature control; Nanotechnology; Node (physics)","score_opus":0.013588909170091059,"score_gpt":0.19380987693745247,"score_spread":0.1802209677673614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801704470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013437919,0.00033410155,0.9810213,0.000111146655,0.0001804699,0.00015439428,0.000028686045,0.00055148796,0.004180625],"genre_scores_gemma":[0.68520755,0.0003591237,0.30718225,0.00015964507,0.000069710055,0.0004913402,0.00006252882,0.000030822455,0.006437049],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996824,0.000021594587,0.000021493643,0.00010086592,0.00014819672,0.000025464815],"domain_scores_gemma":[0.99983263,0.000029306231,0.000023581051,0.000012856437,0.00008945515,0.000012126891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003358989,0.00046250125,0.0005452998,0.00030380004,0.00055484916,0.00071297475,0.0010862247,0.00092830975,0.0017246233],"category_scores_gemma":[0.00048617454,0.00031436782,0.00035578595,0.00019077897,0.0003223446,0.00041501995,0.00042075748,0.0005724863,0.00060556125],"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":[0.00048987695,0.00023159951,0.0016517619,0.000985113,0.0001555016,0.00065907603,0.0003711058,0.28930944,0.30325466,0.012428836,0.0034688732,0.3869941],"study_design_scores_gemma":[0.000114542185,0.0004802762,0.0011409819,0.000035613186,0.00004780729,0.00025979153,0.000045944354,0.9524915,0.036238205,0.0009469528,0.0081494525,0.000048869322],"about_ca_topic_score_codex":0.0030825124,"about_ca_topic_score_gemma":0.0027578664,"teacher_disagreement_score":0.0030825124,"about_ca_system_score_codex":0.00044315087,"about_ca_system_score_gemma":0.0011330761,"threshold_uncertainty_score":0.0061291456},"labels":[],"label_agreement":null},{"id":"W2803086155","doi":"10.1139/tcsme-2004-0034","title":"ON THE CURVATURE ANALYSIS OF VARIABLE PITCH LEAD SCREW MECHANISMS WITH MESHING ELEMENTS IN BOTH RECIPROCATION AND OSCILLATION FOR AVOIDING UNDERCUTTING","year":2004,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curvature; Translation (biology); Mechanism (biology); Oscillation (cell signaling); Variable (mathematics); Computer science; Mechanical engineering; Engineering; Geometry; Physics; Mathematics; Mathematical analysis","score_opus":0.009100842711659594,"score_gpt":0.19925268784009614,"score_spread":0.19015184512843655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803086155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063722394,0.00019652648,0.93442416,0.000039976578,0.000012038029,0.00003098004,0.000008457057,0.00010907637,0.0014564447],"genre_scores_gemma":[0.8829502,0.00030062572,0.114936955,0.000012825418,0.000010504822,0.00007313437,0.00002640474,0.00004263885,0.0016466388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996836,0.00008575964,0.000012333598,0.000038611495,0.00015532604,0.000024460243],"domain_scores_gemma":[0.99952304,0.00022679097,0.00007392482,0.000056918405,0.00010181689,0.000017489143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007004294,0.00053149194,0.00049674284,0.00057014177,0.00020502391,0.0005790849,0.00068465236,0.00059505337,0.0011940639],"category_scores_gemma":[0.0015790932,0.00032638194,0.0008980651,0.0002734564,0.0007811078,0.00059752044,0.00045223933,0.00040929017,0.000185251],"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":[0.000117878706,0.00003738389,0.001335953,0.00017464663,0.000033142343,0.00018833659,0.00024787278,0.76224166,0.092586525,0.07128386,0.00028768505,0.071465015],"study_design_scores_gemma":[0.0000062534177,0.00009919447,0.00032057523,0.00000842379,0.00000812384,0.000068629386,0.000020323852,0.98934877,0.0050674574,0.0044026286,0.00063902704,0.000010712696],"about_ca_topic_score_codex":0.0010656299,"about_ca_topic_score_gemma":0.0006038172,"teacher_disagreement_score":0.0011940639,"about_ca_system_score_codex":0.00041405336,"about_ca_system_score_gemma":0.00050403987,"threshold_uncertainty_score":0.0039945245},"labels":[],"label_agreement":null},{"id":"W2890893738","doi":"10.18429/jacow-ipac2018-thpml083","title":"Iterative Learning Control to Cancel Beam Loading Effect on Amplitude and Phase of the Accelerating Field","year":2018,"lang":"en","type":"article","venue":"JACOW","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; TRIUMF","funders":"","keywords":"Phase (matter); Iterative learning control; Amplitude; Beam (structure); Field (mathematics); Computer science; Control (management); Physics; Optics; Artificial intelligence; Mathematics; Quantum mechanics","score_opus":0.00950020979635704,"score_gpt":0.26695939596657686,"score_spread":0.25745918617021984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890893738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028258646,0.00014994583,0.9670233,0.000113753485,0.000058725902,0.000050531027,0.000007792367,0.00046238615,0.0038748994],"genre_scores_gemma":[0.9284863,0.000104910876,0.06742668,0.00011761703,0.00004270081,0.00010212373,0.000020985177,0.000032262153,0.003666444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996196,0.00005543969,0.000022211316,0.000090466005,0.0001549749,0.000057266177],"domain_scores_gemma":[0.9989336,0.00043716628,0.00019598591,0.00007640849,0.00031712602,0.00003973869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067865924,0.00057807134,0.00039893406,0.0002613248,0.0003430162,0.0005677284,0.0008273102,0.00044774736,0.0013454253],"category_scores_gemma":[0.0023358192,0.00016532755,0.00025314477,0.00023068547,0.00075521995,0.00042846345,0.0006780367,0.0007551155,0.00021720347],"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":[0.00026185604,0.0002752669,0.0013639402,0.000251403,0.00007556104,0.00017866996,0.00043026314,0.60437715,0.07023335,0.017153239,0.0025027725,0.3028965],"study_design_scores_gemma":[0.000016098778,0.0001120439,0.00022714555,0.000008457319,0.000010605285,0.000039134044,0.0000072375583,0.98896897,0.008092385,0.0016593327,0.00084836053,0.000010118293],"about_ca_topic_score_codex":0.0029226465,"about_ca_topic_score_gemma":0.0026204663,"teacher_disagreement_score":0.0029226465,"about_ca_system_score_codex":0.0004654162,"about_ca_system_score_gemma":0.00079558213,"threshold_uncertainty_score":0.005811274},"labels":[],"label_agreement":null},{"id":"W2891234926","doi":"10.1007/s11071-018-4550-1","title":"A modified homotopy optimization for parameter identification in dynamic systems with backlash discontinuity","year":2018,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Toronto Rehabilitation Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Backlash; Discontinuity (linguistics); Identification (biology); Homotopy; Homotopy perturbation method; Control theory (sociology); Homotopy analysis method; Mathematics; Applied mathematics; Computer science; Mathematical analysis; Artificial intelligence","score_opus":0.00634565795349183,"score_gpt":0.23099297396228186,"score_spread":0.22464731600879004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891234926","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005127805,0.0001293796,0.9928427,0.00008621811,0.000048446287,0.00003415768,0.0000124267735,0.00010906248,0.0016098083],"genre_scores_gemma":[0.518619,0.0003681547,0.46943608,0.00016585345,0.000113932794,0.00044007794,0.00011808986,0.00028932435,0.010449499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972075,0.000118577744,0.000016606835,0.00004809794,0.000078404184,0.000017520353],"domain_scores_gemma":[0.99942774,0.00036419043,0.000027110354,0.000052541614,0.00010349123,0.000024861876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094285625,0.0008534555,0.0012529375,0.00070770195,0.00055470166,0.0008693554,0.0011642628,0.002095161,0.0045283525],"category_scores_gemma":[0.0028089802,0.00051990146,0.00068639056,0.00037228636,0.00091856235,0.0012252686,0.0016754527,0.0012568753,0.00072701566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002114209,0.00014562973,0.00040540803,0.00038370868,0.00012581468,0.0002450475,0.0001926859,0.79256934,0.014237111,0.044147257,0.0022340969,0.14510237],"study_design_scores_gemma":[0.000008252782,0.000039825554,0.000045994166,0.000008038789,0.0000057574707,0.000014211334,0.0000062281133,0.9953548,0.0004576865,0.003422333,0.0006300939,0.000006822302],"about_ca_topic_score_codex":0.0025179079,"about_ca_topic_score_gemma":0.0020277055,"teacher_disagreement_score":0.0045283525,"about_ca_system_score_codex":0.000399962,"about_ca_system_score_gemma":0.0007467748,"threshold_uncertainty_score":0.0151488185},"labels":[],"label_agreement":null},{"id":"W2896690033","doi":"10.18618/rep.2010.1.011020","title":"Reinicialização De Controladores Repetitivos Em Inversores PWM Sob Distúrbios Não-Periódicos: Análise E Projeto","year":2010,"lang":"pt","type":"article","venue":"Eletrônica de Potência","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Inversa Systems (Canada)","funders":"","keywords":"Humanities; Philosophy","score_opus":0.0068078829595902895,"score_gpt":0.23862247412795137,"score_spread":0.2318145911683611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896690033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.642382,0.0022989041,0.33965456,0.00043972745,0.00025203102,0.0005021182,0.0001883907,0.0020029133,0.012279329],"genre_scores_gemma":[0.9290736,0.0007790343,0.063141935,0.00009330718,0.000028160006,0.000116173724,0.0001254007,0.00009392293,0.006548522],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957854,0.000055204222,0.00002857148,0.00007470235,0.00022034338,0.000042623342],"domain_scores_gemma":[0.99926096,0.0002272747,0.00006399491,0.00008242773,0.0003293938,0.000035997993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000708987,0.0006292174,0.00043430578,0.0004574622,0.00026001135,0.00090079254,0.00065408205,0.0005418845,0.0029017683],"category_scores_gemma":[0.0011747131,0.00018714907,0.0003173623,0.0002716069,0.00030584654,0.00065909897,0.00027627405,0.00043989447,0.00044282],"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":[0.001241846,0.00040461723,0.0049509606,0.0014734973,0.00008433949,0.0004917961,0.0012673173,0.027046217,0.6238538,0.0017890651,0.0014193265,0.33597723],"study_design_scores_gemma":[0.00017856625,0.0055661136,0.016455632,0.00034053714,0.0002302284,0.0008365788,0.0017218259,0.21998991,0.72416484,0.0016152706,0.02878928,0.000111306224],"about_ca_topic_score_codex":0.0012192172,"about_ca_topic_score_gemma":0.0013872446,"teacher_disagreement_score":0.0029017683,"about_ca_system_score_codex":0.00030231383,"about_ca_system_score_gemma":0.00039608532,"threshold_uncertainty_score":0.009707391},"labels":[],"label_agreement":null},{"id":"W2897192864","doi":"10.1016/j.jfranklin.2018.10.010","title":"Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control","year":2018,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Linearization; Computer science; Nonlinear system; Affine transformation; MIMO; Iterative method; Trajectory; Feedback linearization; Algorithm; Mathematics; Mathematical optimization; Control (management); Artificial intelligence","score_opus":0.019627069498302407,"score_gpt":0.25839863413417896,"score_spread":0.23877156463587657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897192864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02064928,0.00017408756,0.97552454,0.000111107154,0.00009529245,0.000033201435,0.000040678395,0.00028800813,0.0030837369],"genre_scores_gemma":[0.9277921,0.00013834478,0.068740174,0.00007040359,0.000033142922,0.00011231069,0.00011762921,0.000038688,0.0029570982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996772,0.000069550966,0.000025255695,0.000075450145,0.000117344156,0.00003512685],"domain_scores_gemma":[0.9992379,0.00026539085,0.00009293857,0.00007188116,0.00030447272,0.00002743557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082097854,0.00067878276,0.00071095076,0.00029605645,0.00051163964,0.000801734,0.00092262094,0.0006095341,0.0017878966],"category_scores_gemma":[0.0019390724,0.0003699677,0.0005169003,0.00034287758,0.0006009157,0.00077625754,0.0013547963,0.0008872138,0.0003646902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002392616,0.00008488682,0.0008359106,0.00027093565,0.00007843608,0.00011404875,0.00022993353,0.9042433,0.012059232,0.013351046,0.0013830606,0.06711003],"study_design_scores_gemma":[0.0000056886615,0.000039811646,0.00007366307,0.0000044193916,0.0000042642,0.000009658788,0.000003640608,0.99793786,0.0009988027,0.0006858189,0.00023185559,0.000004445252],"about_ca_topic_score_codex":0.003491468,"about_ca_topic_score_gemma":0.004149462,"teacher_disagreement_score":0.003491468,"about_ca_system_score_codex":0.00048051888,"about_ca_system_score_gemma":0.0010428921,"threshold_uncertainty_score":0.006942272},"labels":[],"label_agreement":null},{"id":"W2911178821","doi":"10.3166/jesa.51.51-58","title":"A flexible retraction cable reel based on planetary gear drive","year":2018,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reel; Computer science; Mechanical engineering; Engineering","score_opus":0.015534328313650293,"score_gpt":0.2423367698528826,"score_spread":0.22680244153923232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911178821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30556348,0.0012213138,0.6513594,0.00068747206,0.000599959,0.00041824073,0.0002646916,0.006194154,0.033691276],"genre_scores_gemma":[0.9317068,0.0002653932,0.052508548,0.00011900843,0.00008650504,0.00011679579,0.0001658838,0.00009040371,0.014940801],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996948,0.000042462107,0.000018377372,0.000083873725,0.00012735066,0.000033059525],"domain_scores_gemma":[0.9997876,0.000033610715,0.000020669277,0.000057650203,0.00006257989,0.000037893693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024180573,0.00061793963,0.00089262665,0.0005605956,0.00067091774,0.0005801915,0.001431049,0.000662674,0.0066284607],"category_scores_gemma":[0.0002544357,0.00022750646,0.0005280368,0.00035265135,0.00031333673,0.0006626791,0.0008394047,0.00037008376,0.0014365127],"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":[0.001453874,0.00042796394,0.0047065103,0.0011422428,0.00020456212,0.0027479657,0.00046729157,0.037136097,0.43056962,0.0077178893,0.008201794,0.5052242],"study_design_scores_gemma":[0.00083559635,0.0061003296,0.01289565,0.00017526349,0.00041402475,0.005753471,0.000346683,0.6803353,0.20667194,0.0031034553,0.08303694,0.00033138442],"about_ca_topic_score_codex":0.001005548,"about_ca_topic_score_gemma":0.0017079146,"teacher_disagreement_score":0.0066284607,"about_ca_system_score_codex":0.00027577823,"about_ca_system_score_gemma":0.00039778493,"threshold_uncertainty_score":0.022174358},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2914048357","doi":"10.1002/rob.21864","title":"Experiments in feedback linearized iterative learning‐based path following for center‐articulated industrial vehicles","year":2019,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Doug Bragg Enterprises (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Stiftelsen för Kunskaps- och Kompetensutveckling","keywords":"Iterative learning control; Software deployment; Field (mathematics); Path (computing); Linearization; Feedback linearization; Computer science; Control engineering; Control theory (sociology); Engineering; Simulation; Artificial intelligence; Control (management); Mathematics; Nonlinear system","score_opus":0.018657386090975475,"score_gpt":0.25531168066745796,"score_spread":0.2366542945764825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914048357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9150808,0.000039981183,0.08174451,0.00006617544,0.000022005583,0.00016709726,0.000060827548,0.00068638247,0.0021322279],"genre_scores_gemma":[0.9899828,0.000009594338,0.009362769,0.000008202834,0.0000012352791,0.000035944013,0.000031812757,0.000010410871,0.00055721664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997036,0.0000671315,0.000016106738,0.00005415187,0.00010222967,0.000056739744],"domain_scores_gemma":[0.9987447,0.0005620352,0.00011960294,0.00015686704,0.0002987202,0.00011792825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059677544,0.0003442227,0.00031693056,0.0002637033,0.00039091695,0.00023381301,0.00074409705,0.0006004757,0.0015708086],"category_scores_gemma":[0.0012927005,0.00018854866,0.00018745232,0.00019473587,0.0005361634,0.000407047,0.00050056865,0.0005957039,0.00020368976],"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":[0.0017010682,0.0023224272,0.0040366612,0.00045542463,0.00007177327,0.0004186176,0.0010386409,0.5811867,0.2849769,0.0027143436,0.001228154,0.11984937],"study_design_scores_gemma":[0.00020744663,0.0069894856,0.0035318548,0.0000240974,0.00001921249,0.000084448824,0.00026016383,0.80620694,0.17949454,0.00096241775,0.0021731441,0.000046333353],"about_ca_topic_score_codex":0.0041278675,"about_ca_topic_score_gemma":0.002607315,"teacher_disagreement_score":0.0041278675,"about_ca_system_score_codex":0.00038002853,"about_ca_system_score_gemma":0.00070587936,"threshold_uncertainty_score":0.008207679},"labels":[],"label_agreement":null},{"id":"W2921240485","doi":"10.1109/tnnls.2019.2899632","title":"3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks and Learning Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China","keywords":"Iterative learning control; Dimension (graph theory); Computer science; Learnability; Asynchronous communication; Convergence (economics); Linearization; Nonlinear system; Control theory (sociology); Iterative method; Feedback linearization; Algorithm; Mathematics; Control (management); Artificial intelligence","score_opus":0.008496982150428184,"score_gpt":0.20443198891126954,"score_spread":0.19593500676084136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921240485","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0139047755,0.00016540344,0.9823599,0.00008082165,0.00002912775,0.000028237022,0.000012034899,0.00023727817,0.0031823446],"genre_scores_gemma":[0.9326343,0.00014007065,0.064398214,0.0000990414,0.000028265533,0.000113101174,0.000046021818,0.00003677713,0.0025042281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997222,0.0000513497,0.000015524533,0.000067732944,0.000097614444,0.000045581903],"domain_scores_gemma":[0.9994886,0.00019020737,0.000107477936,0.000049189202,0.00013638865,0.000028087794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006359939,0.00057737203,0.00052835577,0.0003349485,0.00038917977,0.0006297718,0.000893719,0.00064682466,0.0012450295],"category_scores_gemma":[0.0011872081,0.00027573536,0.0004231276,0.00034965988,0.00070330757,0.00049309945,0.0010125764,0.0009256605,0.00028059274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051524883,0.000018507273,0.0003602408,0.00004027899,0.00001666164,0.00005141699,0.00009698561,0.9641258,0.0028891747,0.0040793386,0.00044138552,0.0278286],"study_design_scores_gemma":[0.00000354736,0.000015754178,0.000042341526,0.0000017705883,0.000001869397,0.000006443963,0.000003291901,0.9987068,0.00040234692,0.00054215174,0.0002711317,0.000002573838],"about_ca_topic_score_codex":0.0068165064,"about_ca_topic_score_gemma":0.0044056126,"teacher_disagreement_score":0.0068165064,"about_ca_system_score_codex":0.0007525679,"about_ca_system_score_gemma":0.0008835117,"threshold_uncertainty_score":0.013553679},"labels":[],"label_agreement":null},{"id":"W2923726196","doi":"10.1007/s10514-019-09845-4","title":"Distributed iterative learning control for multi-agent systems","year":2019,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":42,"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":"Connaught Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Baden-Württemberg Stiftung","keywords":"Computer science; Iterative learning control; Multi-agent system; Control (management); Distributed computing; Artificial intelligence","score_opus":0.01325705271726349,"score_gpt":0.23345565205417168,"score_spread":0.2201985993369082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923726196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011164195,0.00034502672,0.9847452,0.0001885608,0.000060918956,0.000026047672,0.000009429119,0.00014704681,0.003313648],"genre_scores_gemma":[0.92644894,0.0003526069,0.066866286,0.000068278765,0.00008751554,0.00017706904,0.00003497006,0.000043783297,0.0059205648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993343,0.0002176313,0.000032180098,0.00012227993,0.00023068405,0.00006294576],"domain_scores_gemma":[0.99859816,0.0007227262,0.00016660744,0.00010678506,0.00034956457,0.00005612664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010232321,0.00068692316,0.000796777,0.0004667268,0.00061404076,0.0011180227,0.0013002334,0.0011160829,0.0015985926],"category_scores_gemma":[0.0038115543,0.00032974724,0.0003993461,0.00053987623,0.0014956887,0.0010041915,0.0015900392,0.0012024175,0.00027386108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006531824,0.000055193483,0.00022601632,0.00008215065,0.000036500394,0.000060920294,0.00014402867,0.91708636,0.0025825554,0.03204651,0.0009125447,0.046701897],"study_design_scores_gemma":[0.000009428478,0.000019714134,0.000036857065,0.0000031359202,0.0000027214392,0.000007443404,0.00000479441,0.9911611,0.00028604717,0.008137182,0.00032795224,0.0000035710334],"about_ca_topic_score_codex":0.005300215,"about_ca_topic_score_gemma":0.0030903486,"teacher_disagreement_score":0.005300215,"about_ca_system_score_codex":0.0009962033,"about_ca_system_score_gemma":0.00096999825,"threshold_uncertainty_score":0.010538757},"labels":[],"label_agreement":null},{"id":"W2950552589","doi":"10.1002/acs.2887","title":"Transfer learning for high‐precision trajectory tracking through adaptive feedback and iterative learning","year":2018,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alfred P. Sloan Foundation","keywords":"Trajectory; Iterative learning control; Control theory (sociology); Controller (irrigation); Tracking (education); Computer science; Parametric statistics; Adaptive control; Adaptation (eye); Control engineering; Control (management); Artificial intelligence; Mathematics; Engineering; Physics","score_opus":0.01594862994345886,"score_gpt":0.250022259816716,"score_spread":0.23407362987325714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950552589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021209417,0.00008029861,0.9762353,0.000054228658,0.000014464899,0.00003097332,0.000004674662,0.00039260832,0.0019780719],"genre_scores_gemma":[0.933825,0.000053344203,0.06429188,0.000043427965,0.0000137605375,0.00009707168,0.000017387652,0.00003630238,0.0016218531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955887,0.00008873699,0.000024705114,0.0000843602,0.00018095579,0.00006239849],"domain_scores_gemma":[0.9990706,0.0004091665,0.00012341367,0.0001159404,0.00024213466,0.000038807328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008286108,0.00056282576,0.00041196492,0.00037137626,0.0003534334,0.00048743922,0.0009345199,0.0006279908,0.0014075917],"category_scores_gemma":[0.0022711926,0.00022515794,0.00036496442,0.00027994715,0.00090113806,0.0006083463,0.0011016836,0.0009423654,0.00028032533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007291109,0.00008929983,0.0006343255,0.00007262504,0.000035626937,0.00010545849,0.0001702539,0.85638535,0.015876168,0.008511189,0.00063785055,0.117408924],"study_design_scores_gemma":[0.000003412252,0.000025175239,0.000067698005,0.000002381518,0.0000016512364,0.000009508727,0.000003796484,0.99683183,0.0016775876,0.0011929249,0.00018083319,0.0000032115513],"about_ca_topic_score_codex":0.00459457,"about_ca_topic_score_gemma":0.0026115978,"teacher_disagreement_score":0.00459457,"about_ca_system_score_codex":0.0006897982,"about_ca_system_score_gemma":0.0007871017,"threshold_uncertainty_score":0.0091356635},"labels":[],"label_agreement":null},{"id":"W2963768081","doi":"10.1109/icra.2017.7989044","title":"High-precision trajectory tracking in changing environments through L&lt;inf&gt;1&lt;/inf&gt; adaptive feedback and iterative learning","year":2017,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Iterative learning control; Computer science; Trajectory; Controller (irrigation); Adaptive control; Mathematical proof; Parametric statistics; Control theory (sociology); Artificial intelligence; Control engineering; Control (management); Mathematics; Engineering","score_opus":0.014424711905164277,"score_gpt":0.23159239657907016,"score_spread":0.21716768467390588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963768081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040815836,0.000084525804,0.99269754,0.00009013803,0.00001168668,0.000022168859,0.000010034008,0.0006435787,0.0023586839],"genre_scores_gemma":[0.5994911,0.00039275803,0.3907817,0.0002246185,0.00007628629,0.0002533836,0.00015063341,0.00024691384,0.008382614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984676,0.00029045573,0.000063871565,0.00031608547,0.0007296251,0.00013224542],"domain_scores_gemma":[0.99803895,0.0008115677,0.00028330006,0.0003626239,0.0004490684,0.000054574117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016374617,0.00089545734,0.0005612685,0.000594163,0.00061547424,0.0012482462,0.0018002368,0.0011942072,0.0021025913],"category_scores_gemma":[0.0044295616,0.00036538532,0.00062223023,0.0007168432,0.0018143774,0.0016164535,0.0018082105,0.0015016599,0.0007648209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121991405,0.000089016045,0.000689054,0.00011400329,0.000032708216,0.00016533778,0.00026010416,0.70965457,0.016973699,0.039430276,0.0019458863,0.23052335],"study_design_scores_gemma":[0.0000067379624,0.00004222402,0.00011165235,0.0000095164605,0.000003386487,0.000026028603,0.00000688955,0.99023,0.0032641517,0.0052071037,0.0010840206,0.000008209477],"about_ca_topic_score_codex":0.008621316,"about_ca_topic_score_gemma":0.0056443033,"teacher_disagreement_score":0.008621316,"about_ca_system_score_codex":0.0015077392,"about_ca_system_score_gemma":0.0017357738,"threshold_uncertainty_score":0.017142236},"labels":[],"label_agreement":null},{"id":"W2963954963","doi":"10.1109/tmech.2019.2929390","title":"Torque Ripple Minimization and Control of a Permanent Magnet Synchronous Motor Using Multiobjective Extremum Seeking","year":2019,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Torque ripple; Torque; Controller (irrigation); Transient (computer programming); Stall torque; Computer science; Direct torque control; Control engineering; Engineering; Control (management); Voltage; Physics; Artificial intelligence; Induction motor","score_opus":0.005300323238236446,"score_gpt":0.19810924426330115,"score_spread":0.1928089210250647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963954963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020117315,0.00016558658,0.97765356,0.000056059303,0.000021868678,0.000022289367,0.000006004219,0.00011162629,0.0018455896],"genre_scores_gemma":[0.9047278,0.00016225151,0.09229076,0.00005291552,0.000027181408,0.00008157794,0.00001828959,0.000028613049,0.002610564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984133,0.00004506955,0.0000098881055,0.000026525031,0.00006145056,0.000015601057],"domain_scores_gemma":[0.99978834,0.00008806959,0.000045593617,0.000015198459,0.000052138264,0.000010704235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000459637,0.00045444933,0.00041886294,0.00024955114,0.00023880205,0.00044838802,0.00043358584,0.00044975232,0.0006233179],"category_scores_gemma":[0.0006166894,0.00018593125,0.00031532234,0.00020558712,0.00040293016,0.00025134755,0.00032753215,0.00033961522,0.00013641252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021118554,0.00007091709,0.00049285445,0.00037584864,0.000072315874,0.00019297257,0.00017616762,0.81298876,0.059608024,0.012973636,0.00088927016,0.11194802],"study_design_scores_gemma":[0.000012396205,0.00009224408,0.0001325838,0.0000056911035,0.000005530202,0.000023571854,0.000007109403,0.9954722,0.0029605287,0.00078460533,0.000498205,0.000005295841],"about_ca_topic_score_codex":0.00063090964,"about_ca_topic_score_gemma":0.0005498195,"teacher_disagreement_score":0.00063090964,"about_ca_system_score_codex":0.00020334436,"about_ca_system_score_gemma":0.00028848785,"threshold_uncertainty_score":0.0024308562},"labels":[],"label_agreement":null},{"id":"W2969769873","doi":"10.1017/s0263574719001267","title":"A Two-Stage State Feedback Controller Supported by Disturbance-State Observer for Vibration Control of a Flexible-Joint Robot","year":2019,"lang":"en","type":"article","venue":"Robotica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Harmonic drive; Vibration; Control engineering; Reducer; Kinematics; Controller (irrigation); Computer science; Robot; Engineering; Control (management); Artificial intelligence","score_opus":0.011191280815596014,"score_gpt":0.22090263881012936,"score_spread":0.20971135799453336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969769873","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08902299,0.00018519297,0.90748,0.00008941368,0.00008259199,0.000062176274,0.000020326428,0.000809047,0.0022482006],"genre_scores_gemma":[0.9669635,0.000052116222,0.030903736,0.000024501063,0.000012397212,0.00005859517,0.0000276953,0.000009847376,0.001947519],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979085,0.000032310945,0.000018916891,0.000045932575,0.00008789855,0.00002398237],"domain_scores_gemma":[0.9997757,0.000059031834,0.00003244954,0.000028532973,0.00009010031,0.000014199089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038059917,0.00032599724,0.00038128317,0.00019112109,0.00023685172,0.0004099286,0.0006931293,0.00047126823,0.0010624698],"category_scores_gemma":[0.00051573786,0.00024031018,0.00025911376,0.00012266393,0.00028682125,0.000264226,0.00038290175,0.00043680944,0.00019099229],"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":[0.00085532846,0.0002462257,0.0015971686,0.0004382202,0.0001317874,0.00043328744,0.00038332742,0.3385548,0.36297336,0.007099302,0.0017689004,0.2855182],"study_design_scores_gemma":[0.000066472356,0.00034018545,0.0010024409,0.000010087324,0.000018443117,0.000052253283,0.000008217267,0.9807514,0.016367553,0.0002577927,0.0011089991,0.000016118944],"about_ca_topic_score_codex":0.0027009104,"about_ca_topic_score_gemma":0.0029259,"teacher_disagreement_score":0.0027009104,"about_ca_system_score_codex":0.00026054514,"about_ca_system_score_gemma":0.0003841976,"threshold_uncertainty_score":0.0053703785},"labels":[],"label_agreement":null},{"id":"W2979766764","doi":"10.1109/ccece.2019.8861721","title":"Robotic Manipulator Control Using PD-type Fuzzy Iterative Learning Control","year":2019,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Iterative learning control; Controller (irrigation); Convergence (economics); Fuzzy logic; Robot; Fuzzy control system; Robotic arm; Nonlinear system; Computer science; Control engineering; Engineering; Artificial intelligence; Control (management); Physics","score_opus":0.00971330487765362,"score_gpt":0.21599121825478287,"score_spread":0.20627791337712925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979766764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02920877,0.00058062735,0.96291107,0.00011126817,0.00007959246,0.00006725792,0.000019233034,0.000567142,0.0064549753],"genre_scores_gemma":[0.9264856,0.00039790547,0.068773255,0.00007858339,0.000049626105,0.0001295898,0.000057627545,0.000019319847,0.0040086536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997048,0.00003822993,0.000018980316,0.0000840427,0.00012725106,0.000026645914],"domain_scores_gemma":[0.9998154,0.0000444718,0.00004330544,0.000013777784,0.000075296964,0.000007830896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037105157,0.00046679488,0.00042489453,0.00021518893,0.0003914394,0.0004921948,0.00074899907,0.000457139,0.0009529759],"category_scores_gemma":[0.0005594869,0.00015041129,0.00038136373,0.0002918026,0.00041643117,0.00035467313,0.0003345665,0.00052451185,0.00019371769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018668245,0.00014377687,0.0010764862,0.00049761817,0.000121313235,0.00038905404,0.000275742,0.7028878,0.043406565,0.013187486,0.0019315958,0.23589587],"study_design_scores_gemma":[0.00003619131,0.0002317628,0.00035904444,0.000013808899,0.000018545596,0.000090971924,0.00001562673,0.9921108,0.003980059,0.0013273236,0.0018015871,0.000014373204],"about_ca_topic_score_codex":0.0037178597,"about_ca_topic_score_gemma":0.0023923055,"teacher_disagreement_score":0.0037178597,"about_ca_system_score_codex":0.00037368428,"about_ca_system_score_gemma":0.0006342234,"threshold_uncertainty_score":0.007392466},"labels":[],"label_agreement":null},{"id":"W2989847938","doi":"10.1109/tie.2019.2955417","title":"Distributed Control of Multiple Flexible Manipulators With Unknown Disturbances and Dead-Zone Input","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Dead zone; Control theory (sociology); Computer science; Control engineering; Control (management); Engineering; Geology; Artificial intelligence","score_opus":0.009928866870865072,"score_gpt":0.19584462541178313,"score_spread":0.18591575854091805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989847938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107894264,0.00025735103,0.8896004,0.00010225808,0.00005476744,0.000031211912,0.000014228459,0.00028401095,0.0017615295],"genre_scores_gemma":[0.9873476,0.00006254476,0.011449253,0.0000125677225,0.0000105191075,0.00004122869,0.000013775839,0.0000048211773,0.0010577671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970776,0.000036006124,0.00001470363,0.00011249472,0.00008887225,0.000040169645],"domain_scores_gemma":[0.9996761,0.000098273864,0.00009340442,0.00003613952,0.00007043761,0.000025675172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003934111,0.00078938325,0.00051057443,0.00020612334,0.0004528966,0.0004538495,0.0010057531,0.0005163404,0.00051851594],"category_scores_gemma":[0.00060781895,0.00025115756,0.0004235039,0.0002499879,0.0006297925,0.0005018985,0.00075274106,0.0006387758,0.00008177673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023545632,0.00009722861,0.001093351,0.00018570559,0.000065639455,0.000644127,0.0003436309,0.8458712,0.066705264,0.005048875,0.00044603084,0.07926356],"study_design_scores_gemma":[0.00003914014,0.00018812745,0.00037919634,0.00000447068,0.0000106991865,0.00004227512,0.000027142394,0.99386036,0.0040793815,0.0010027337,0.0003597445,0.0000068145937],"about_ca_topic_score_codex":0.0026066827,"about_ca_topic_score_gemma":0.002195278,"teacher_disagreement_score":0.0026066827,"about_ca_system_score_codex":0.00040078736,"about_ca_system_score_gemma":0.00044693908,"threshold_uncertainty_score":0.005183041},"labels":[],"label_agreement":null},{"id":"W2994629076","doi":"10.5539/mer.v9n2p20","title":"Analysis of a Continuously Variable Transmission in which Four-Bar Linkages Are Arranged in Parallel","year":2019,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Lever; Continuously variable transmission; Crank; Linkage (software); Mechanism (biology); Control theory (sociology); Thermal conduction; Transmission (telecommunications); Actuator; Power consumption; Power (physics); Computer science; Automotive engineering; Mechanical engineering; Engineering; Materials science; Electrical engineering; Control (management); Physics; Composite material","score_opus":0.021451564500203007,"score_gpt":0.26935132756568575,"score_spread":0.24789976306548275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994629076","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15073434,0.00028005036,0.83966184,0.000095769174,0.000048065976,0.00003466992,0.000046569327,0.00013559396,0.008963145],"genre_scores_gemma":[0.96148425,0.00020643082,0.03368684,0.000018416198,0.000023904078,0.00003138622,0.000059432226,0.00002651816,0.004462794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998981,0.000015648806,0.0000037018401,0.000027517155,0.000041943287,0.000013061059],"domain_scores_gemma":[0.9998485,0.000049728107,0.000039233866,0.000016977194,0.000034496934,0.000011175286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018018755,0.0002292613,0.00018587825,0.00033034763,0.00018248038,0.00034939364,0.0006104905,0.0003757802,0.0024763013],"category_scores_gemma":[0.00046431393,0.00013489755,0.000386082,0.0002690235,0.00038458215,0.0005587225,0.00019016657,0.00037267324,0.00019203185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015689862,0.00009443099,0.0024147192,0.00025404477,0.00007774485,0.0006867368,0.00016717786,0.7109561,0.10979317,0.1138366,0.0011412342,0.060421146],"study_design_scores_gemma":[0.000005737203,0.00006863485,0.0005989254,0.0000041968187,0.000008319026,0.00011189943,0.00001359287,0.9903584,0.0035254655,0.004217295,0.0010808535,0.000006670274],"about_ca_topic_score_codex":0.0008321572,"about_ca_topic_score_gemma":0.00038063436,"teacher_disagreement_score":0.0024763013,"about_ca_system_score_codex":0.00024569302,"about_ca_system_score_gemma":0.0002780087,"threshold_uncertainty_score":0.008284092},"labels":[],"label_agreement":null},{"id":"W3003463707","doi":"10.1177/0142331219900593","title":"Enhanced data-driven optimal iterative learning control for nonlinear non-affine discrete-time systems with iterative sliding-mode surface","year":2020,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Iterative learning control; Control theory (sociology); Nonlinear system; Computer science; Controller (irrigation); Iterative method; Convergence (economics); Affine transformation; Linear system; Sliding mode control; Data-driven; Mathematics; Algorithm; Control (management); Artificial intelligence","score_opus":0.01933250066335444,"score_gpt":0.22624586731118806,"score_spread":0.20691336664783364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003463707","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01084266,0.00017583084,0.9871622,0.00006723923,0.000033385306,0.000022910466,0.0000095008745,0.00014254065,0.001543799],"genre_scores_gemma":[0.92168236,0.000222736,0.07505528,0.00008247098,0.00003811276,0.00014391138,0.00007369035,0.00003865503,0.0026627863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993587,0.00012038664,0.000046298683,0.00013117066,0.00027613365,0.0000671989],"domain_scores_gemma":[0.99937844,0.00020700826,0.00008900241,0.00006943351,0.00022688083,0.000029315417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010503578,0.000752594,0.00075281423,0.0003632987,0.00030698383,0.0008293083,0.0010666522,0.00070933066,0.0010118618],"category_scores_gemma":[0.0015094711,0.00027995836,0.00059113256,0.00037107154,0.00082266657,0.0007736499,0.0011140073,0.0009833327,0.00017878454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010003168,0.00005586104,0.000572805,0.00019448542,0.000053429856,0.00009828295,0.00021759015,0.89965403,0.009387716,0.018732604,0.00069798244,0.070235215],"study_design_scores_gemma":[0.0000048297666,0.000039159353,0.000045853318,0.0000032467228,0.000002847935,0.000006952218,0.000004106701,0.9979382,0.00070010236,0.00088631565,0.00036444288,0.0000038519074],"about_ca_topic_score_codex":0.0030233902,"about_ca_topic_score_gemma":0.0018061996,"teacher_disagreement_score":0.0030233902,"about_ca_system_score_codex":0.0005823219,"about_ca_system_score_gemma":0.00096694403,"threshold_uncertainty_score":0.0060116053},"labels":[],"label_agreement":null},{"id":"W3005336183","doi":"10.1155/2020/5640246","title":"Dynamic Modeling and Adaptive Robust Synchronous Control of Parallel Robotic Manipulator for Industrial Application","year":2020,"lang":"en","type":"article","venue":"Complexity","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; York University","keywords":"Control theory (sociology); Computer science; Adaptive control; Trajectory; Robust control; Lyapunov function; Lyapunov stability; Controller (irrigation); Kinematics; Synchronization (alternating current); Control engineering; Control system; Control (management); Nonlinear system; Artificial intelligence; Engineering","score_opus":0.08322097453890699,"score_gpt":0.24284388214296812,"score_spread":0.15962290760406112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005336183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011181072,0.00020796571,0.98451877,0.000065480956,0.000031718802,0.000028896056,0.000017337841,0.0002646668,0.0036841016],"genre_scores_gemma":[0.91927505,0.00079502794,0.07261886,0.000052329873,0.00007202944,0.00025680184,0.00012237183,0.000037510592,0.00677009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973994,0.00003943606,0.000014241026,0.000067652865,0.000116744275,0.000022020404],"domain_scores_gemma":[0.9998511,0.000023074734,0.000045927456,0.000024706187,0.000049377166,0.000005888259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034702723,0.0006509732,0.0003905618,0.00029380416,0.00038478567,0.00048342586,0.0008188889,0.00042880382,0.001484721],"category_scores_gemma":[0.00042445204,0.00028135162,0.0005446873,0.00032400683,0.0004076827,0.0006721728,0.000496394,0.0005691618,0.0003234664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003723903,0.000023593311,0.00049822323,0.000112407964,0.000029606812,0.00014252354,0.00009015066,0.9116655,0.01731008,0.015180301,0.00070137484,0.054208923],"study_design_scores_gemma":[0.0000052935025,0.000044437747,0.00019874141,0.0000042335582,0.0000062995605,0.00002826268,0.000008069472,0.99539894,0.0014389767,0.0015903871,0.0012708569,0.0000056413132],"about_ca_topic_score_codex":0.004975926,"about_ca_topic_score_gemma":0.0030911623,"teacher_disagreement_score":0.004975926,"about_ca_system_score_codex":0.00035741468,"about_ca_system_score_gemma":0.00084269495,"threshold_uncertainty_score":0.009893894},"labels":[],"label_agreement":null},{"id":"W3015886811","doi":"10.1109/tsmc.2020.2982491","title":"Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Linearization; Estimator; Parametric statistics; Observer (physics); Mathematics; Rate of convergence; Residual; Computer science; Algorithm; Control (management); Artificial intelligence","score_opus":0.028941145301620383,"score_gpt":0.2122820305043724,"score_spread":0.183340885202752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015886811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008025904,0.00016084262,0.9904005,0.000060303053,0.000053024392,0.000019518697,0.000015931653,0.0001980505,0.0010658718],"genre_scores_gemma":[0.93480766,0.00027039208,0.062267896,0.000076062825,0.00005207693,0.00013934197,0.00008557293,0.00003409317,0.0022669227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996346,0.00008291229,0.000026982445,0.000094795425,0.00012643228,0.000034249693],"domain_scores_gemma":[0.9993957,0.00021900868,0.000107797954,0.000075500226,0.00017553609,0.0000264965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006587288,0.0007829074,0.00073679036,0.00025226225,0.00029577856,0.0008460762,0.0010563129,0.0005904166,0.0013463668],"category_scores_gemma":[0.0013253152,0.00030085893,0.00067496137,0.00029814514,0.00068850996,0.0008190614,0.00085747114,0.0012449032,0.00022040517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025596513,0.000099288925,0.0012048733,0.0004546752,0.000132014,0.00019152684,0.00036293382,0.80719805,0.029865282,0.033788208,0.0016388856,0.1248083],"study_design_scores_gemma":[0.000009894395,0.000059583774,0.00009556903,0.0000052492933,0.000007689905,0.000014294774,0.0000053117783,0.99671173,0.0015509656,0.0010501507,0.00048294838,0.000006649279],"about_ca_topic_score_codex":0.003785292,"about_ca_topic_score_gemma":0.0032834962,"teacher_disagreement_score":0.003785292,"about_ca_system_score_codex":0.00050573103,"about_ca_system_score_gemma":0.00080326264,"threshold_uncertainty_score":0.007526517},"labels":[],"label_agreement":null},{"id":"W3015912133","doi":"10.1109/tcyb.2020.2977391","title":"Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province; Key Technology Research and Development Program of Shandong; Taishan Scholar Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Learnability; Computer science; Iterative learning control; Multi-agent system; Adaptation (eye); Network topology; Artificial intelligence; Control (management); Topology (electrical circuits); Mathematics","score_opus":0.018404085393130508,"score_gpt":0.22375006655242213,"score_spread":0.20534598115929162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015912133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021668442,0.00022330073,0.9740433,0.00019176544,0.000023635232,0.000020865042,0.000012665237,0.00008220299,0.0037338694],"genre_scores_gemma":[0.947756,0.00032307144,0.049142186,0.000085954845,0.000039373193,0.000096545555,0.000032504406,0.000022888275,0.0025016293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995153,0.0001478305,0.000026280466,0.000121794714,0.00015069993,0.000037986763],"domain_scores_gemma":[0.99924695,0.00032243223,0.00017371403,0.000063048035,0.00015840949,0.000035432437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006995695,0.00044252697,0.00029455696,0.00045455786,0.00032815945,0.0006333095,0.00082672265,0.0006495577,0.0010823596],"category_scores_gemma":[0.0024713061,0.0002181189,0.00043288397,0.00038095727,0.0010722363,0.0011947522,0.0011205636,0.00077776506,0.00016253063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020878017,0.00001990766,0.0005254806,0.000063011226,0.000029230092,0.00007640154,0.00014274938,0.8778465,0.0038853283,0.09673041,0.0003396534,0.020320455],"study_design_scores_gemma":[0.0000025768593,0.00002375147,0.00008059986,0.0000025912905,0.0000034094567,0.000012408008,0.0000094328825,0.9866388,0.0003605367,0.012495449,0.0003665272,0.0000039527426],"about_ca_topic_score_codex":0.0022988652,"about_ca_topic_score_gemma":0.0012651539,"teacher_disagreement_score":0.0022988652,"about_ca_system_score_codex":0.0006911893,"about_ca_system_score_gemma":0.0004797463,"threshold_uncertainty_score":0.005014956},"labels":[],"label_agreement":null},{"id":"W3022241751","doi":"","title":"Double-loop robust tracking control for micro machine tools","year":2011,"lang":"zh","type":"article","venue":"中国科学:技术科学(英文版)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); PID controller; Inner loop; Robust control; Tracking (education); Loop (graph theory); Tracking error; Integrator; Controller (irrigation); Control engineering; Residual; Engineering; Robustness (evolution); Control system; Computer science; Bandwidth (computing); Control (management); Mathematics; Temperature control; Artificial intelligence","score_opus":0.05573088483268563,"score_gpt":0.24089143737869675,"score_spread":0.18516055254601113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022241751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01381927,0.00040173376,0.9836231,0.000048563106,0.00005548292,0.000022692277,0.00001274176,0.0004267249,0.0015896609],"genre_scores_gemma":[0.9148784,0.00037104692,0.079969816,0.0000664674,0.00005812143,0.00010251174,0.0000636958,0.00003941377,0.0044505233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968123,0.000041665673,0.000020128498,0.00008265546,0.00014933964,0.00002504528],"domain_scores_gemma":[0.9997564,0.00007172694,0.00006644776,0.000024468229,0.00007262665,0.0000083748155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038517415,0.000429223,0.00041075711,0.00019793322,0.0001938145,0.0006080081,0.0004944036,0.0004057708,0.0011292913],"category_scores_gemma":[0.0007423172,0.00020904587,0.00026396036,0.00021080386,0.00030312105,0.00036306743,0.00042704973,0.00046666054,0.00027581636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003341778,0.00008946217,0.00051659864,0.0005146283,0.000078013705,0.00020808257,0.0002176579,0.52453214,0.13919483,0.019544167,0.0019535092,0.3128167],"study_design_scores_gemma":[0.000030142803,0.0003175756,0.0002917658,0.00001196145,0.000011580273,0.00006272721,0.000009212721,0.9787781,0.015060584,0.001801849,0.0036115113,0.000012959017],"about_ca_topic_score_codex":0.0008964083,"about_ca_topic_score_gemma":0.00072018366,"teacher_disagreement_score":0.0011292913,"about_ca_system_score_codex":0.00030581246,"about_ca_system_score_gemma":0.0003345062,"threshold_uncertainty_score":0.0037778616},"labels":[],"label_agreement":null},{"id":"W3084055455","doi":"10.1115/1.4048362","title":"Fast Generation of Stability Charts for Time-Delay Systems Using Continuation of Characteristic Roots","year":2020,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Department of Scientific and Industrial Research, Ministry of Science and Technology, India","keywords":"Mathematics; Continuation; Stability (learning theory); Ordinary differential equation; Ode; Delay differential equation; Galerkin method; Applied mathematics; Eigenvalues and eigenvectors; Parametric statistics; Partial differential equation; Numerical stability; Numerical continuation; Differential equation; Control theory (sociology); Numerical analysis; Mathematical analysis; Bifurcation; Computer science; Nonlinear system","score_opus":0.023765588213202505,"score_gpt":0.23742443533870594,"score_spread":0.21365884712550343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084055455","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02940783,0.00010029173,0.9682196,0.000047389007,0.000030017043,0.000037791975,0.00002087734,0.0007329768,0.001403234],"genre_scores_gemma":[0.5425994,0.00013804069,0.4553326,0.000022592687,0.000015403657,0.000107242624,0.000064043175,0.00019126927,0.0015295165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998149,0.00005526954,0.000010155435,0.000026173271,0.000077789715,0.000015639269],"domain_scores_gemma":[0.99888724,0.0006364326,0.00012339925,0.0001146869,0.00019561175,0.00004263332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008978726,0.0005355605,0.0004547522,0.00072054344,0.00034077224,0.0005432363,0.0004670016,0.00051765447,0.002096994],"category_scores_gemma":[0.0024255835,0.00021968175,0.00044075915,0.00028025478,0.0005302436,0.0006121746,0.00066602725,0.00077690755,0.0003740546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015323849,0.00008502904,0.0018409034,0.0001554241,0.00003447118,0.0003090842,0.0004700098,0.7503509,0.051791523,0.05574803,0.0017416462,0.1373197],"study_design_scores_gemma":[0.000007900519,0.000016932303,0.000067283516,0.000006744197,0.0000016322,0.000015516722,0.000008938674,0.99291164,0.003862909,0.0024177686,0.0006766423,0.0000060860616],"about_ca_topic_score_codex":0.001105196,"about_ca_topic_score_gemma":0.0007447898,"teacher_disagreement_score":0.002096994,"about_ca_system_score_codex":0.00040958074,"about_ca_system_score_gemma":0.00052991597,"threshold_uncertainty_score":0.007015109},"labels":[],"label_agreement":null},{"id":"W3089660396","doi":"10.1109/ccta41146.2020.9206277","title":"Machine Learning-based Diesel Engine-Out NOx Reduction Using a plug-in PD-type Iterative Learning Control","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"NOx; Diesel engine; Controller (irrigation); Automotive engineering; Control theory (sociology); Diesel fuel; Computer science; Common rail; PID controller; Engineering; Control engineering; Chemistry; Control (management); Temperature control; Combustion; Artificial intelligence","score_opus":0.016598655493873935,"score_gpt":0.240121177327426,"score_spread":0.22352252183355206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089660396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053830523,0.00020042624,0.9377903,0.00008719367,0.00008156198,0.00013252419,0.0000279026,0.0020429892,0.005806507],"genre_scores_gemma":[0.9312793,0.00008283426,0.065453194,0.00006400508,0.000019927184,0.00013450586,0.000053241973,0.000039147653,0.0028739346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996606,0.000041595493,0.000019979103,0.00008261175,0.00016085313,0.000034236506],"domain_scores_gemma":[0.9996716,0.00009595902,0.000059903763,0.00002995561,0.00012553082,0.00001710122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047722954,0.0005131828,0.0004900694,0.00026168686,0.00030619578,0.0005735589,0.0012116757,0.00032221279,0.0008332962],"category_scores_gemma":[0.00070488744,0.00020761906,0.00034909564,0.00021188153,0.00037640205,0.00036971067,0.0004601857,0.00056529726,0.00023861312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005047767,0.00089555373,0.0031239984,0.00047776394,0.00013372203,0.00024295025,0.0002576322,0.49118635,0.12319648,0.0057915086,0.0025419374,0.37164724],"study_design_scores_gemma":[0.00002933876,0.00027551135,0.000515689,0.0000070859505,0.000016417232,0.000055111206,0.0000070381334,0.9763365,0.021179881,0.00029134928,0.0012749186,0.00001121441],"about_ca_topic_score_codex":0.0027356579,"about_ca_topic_score_gemma":0.0032551263,"teacher_disagreement_score":0.0027356579,"about_ca_system_score_codex":0.00048744085,"about_ca_system_score_gemma":0.00066337833,"threshold_uncertainty_score":0.00543952},"labels":[],"label_agreement":null},{"id":"W3099089875","doi":"10.1109/iecon43393.2020.9255024","title":"PMSM Torque Ripple Minimization Using an Adaptive Iterative Learning Control","year":2020,"lang":"en","type":"article","venue":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Control theory (sociology); Iterative learning control; Torque; Torque ripple; Transient (computer programming); Computer science; Controller (irrigation); Minification; Direct torque control; Control engineering; Engineering; Control (management); Induction motor; Physics; Voltage; Artificial intelligence","score_opus":0.04280007822142442,"score_gpt":0.233653551520342,"score_spread":0.19085347329891758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099089875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052407347,0.00029313043,0.94171715,0.000111860776,0.000042274816,0.00006557113,0.000011098269,0.00058594474,0.004765699],"genre_scores_gemma":[0.94795007,0.00011068313,0.050025918,0.000048164722,0.000023820448,0.00006783019,0.000017618688,0.000019516603,0.001736303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997831,0.00003711328,0.000015614212,0.000039401373,0.00010479203,0.000019971796],"domain_scores_gemma":[0.99976164,0.000071777686,0.000055842913,0.000023567687,0.000077258366,0.00000986619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031030623,0.0003606913,0.0003114467,0.00026195345,0.00025087755,0.00035525433,0.00056484377,0.00031368583,0.0005567229],"category_scores_gemma":[0.00067464076,0.00012725375,0.00024578744,0.0002454783,0.0003203462,0.00026615922,0.00037738332,0.00032400683,0.000113967304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037886854,0.00020230694,0.0012831578,0.0003771641,0.00008130511,0.00023624845,0.0002596419,0.45431316,0.106235065,0.006075138,0.0017299751,0.42882803],"study_design_scores_gemma":[0.000024011319,0.0001434113,0.00046048302,0.000008832193,0.000009546044,0.00005790496,0.00000988082,0.9872481,0.010565718,0.00058383134,0.00087960984,0.000008694914],"about_ca_topic_score_codex":0.0011865671,"about_ca_topic_score_gemma":0.0011529301,"teacher_disagreement_score":0.0011865671,"about_ca_system_score_codex":0.0002524126,"about_ca_system_score_gemma":0.00038805517,"threshold_uncertainty_score":0.002359271},"labels":[],"label_agreement":null},{"id":"W3106863577","doi":"10.1145/3414685.3417765","title":"A harmonic balance approach for designing compliant mechanical systems with nonlinear periodic motions","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Canada Foundation for Innovation","keywords":"Harmonic balance; Computer science; Nonlinear system; Trajectory; Set (abstract data type); Sensitivity (control systems); Mechanical system; Transient (computer programming); Harmonic; Process (computing); Control theory (sociology); Matching (statistics); Frequency domain; Shell (structure); Control engineering; Mechanical engineering; Engineering; Mathematics; Electronic engineering; Acoustics; Artificial intelligence; Physics","score_opus":0.03396204872355292,"score_gpt":0.22823962874500078,"score_spread":0.19427758002144785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106863577","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022783033,0.000019722647,0.9946179,0.000044186934,0.000008688967,0.000024047538,0.000011606748,0.0000800777,0.0029155163],"genre_scores_gemma":[0.27822524,0.00022806003,0.71075,0.00015947249,0.000043211894,0.0005320045,0.000078254394,0.000294315,0.009689433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998252,0.000032952932,0.0000065613813,0.000022066766,0.0001014835,0.000011900984],"domain_scores_gemma":[0.9998294,0.000083391526,0.000023597331,0.00002354044,0.000029649073,0.0000103729435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004867133,0.0005651515,0.0003016614,0.00044309234,0.00040194037,0.0005119804,0.0006147086,0.000594259,0.0048554866],"category_scores_gemma":[0.0008037519,0.00048200542,0.00043710644,0.00024384586,0.00068052934,0.00057895936,0.0009161195,0.00063998235,0.00066578604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032421292,0.00006703174,0.00029505498,0.00015561761,0.00003116992,0.000085792635,0.00017276265,0.7556431,0.043801904,0.11803691,0.0017453053,0.07993286],"study_design_scores_gemma":[0.000013462943,0.000041690164,0.00004572891,0.000011260098,0.0000067798137,0.000028709195,0.000010693828,0.9763889,0.0037779065,0.014588759,0.005077711,0.000008454933],"about_ca_topic_score_codex":0.0006133503,"about_ca_topic_score_gemma":0.00084763527,"teacher_disagreement_score":0.0048554866,"about_ca_system_score_codex":0.0004037351,"about_ca_system_score_gemma":0.0005638263,"threshold_uncertainty_score":0.01624322},"labels":[],"label_agreement":null},{"id":"W3109371868","doi":"10.1016/j.mechatronics.2020.102445","title":"Dynamic model identification for CNC machine tool feed drives from in-process signals for virtual process planning","year":2020,"lang":"en","type":"article","venue":"Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Machine tool; Process (computing); Machining; Identification (biology); Contouring; Control engineering; Computer science; Numerical control; Engineering; Control theory (sociology); Artificial intelligence; Engineering drawing; Control (management); Mechanical engineering","score_opus":0.014063561766706952,"score_gpt":0.269253286695444,"score_spread":0.25518972492873704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109371868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026750406,0.00015131141,0.96621144,0.00012577204,0.000046440742,0.000057875975,0.00015739736,0.0008259318,0.0056733396],"genre_scores_gemma":[0.9545695,0.00015063885,0.040113363,0.00003125031,0.0000075087487,0.0000903975,0.00026899442,0.00007818888,0.004690103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980956,0.00003488185,0.000007911659,0.00004192794,0.000085688436,0.000020146446],"domain_scores_gemma":[0.9997396,0.00010121416,0.000029019477,0.000030218449,0.00009209899,0.000007904453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304862,0.00062035286,0.00050633325,0.00037815794,0.00040984948,0.000836525,0.00059394527,0.0005612869,0.0027639093],"category_scores_gemma":[0.00090711523,0.00032851315,0.0003436445,0.00040750144,0.00025419737,0.0005913391,0.00038215893,0.00082338107,0.00070127426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015521304,0.000058902788,0.00059771485,0.00021112332,0.000031926847,0.000099053585,0.00010548071,0.9123374,0.014959941,0.004557201,0.0012949546,0.06559111],"study_design_scores_gemma":[0.0000046639634,0.000025188394,0.0002686201,0.000008219382,0.000004897642,0.000015171369,0.0000100782545,0.99453557,0.003510845,0.0006146193,0.0009974095,0.000004742704],"about_ca_topic_score_codex":0.012396189,"about_ca_topic_score_gemma":0.012123025,"teacher_disagreement_score":0.012396189,"about_ca_system_score_codex":0.0005715322,"about_ca_system_score_gemma":0.0010619148,"threshold_uncertainty_score":0.02464807},"labels":[],"label_agreement":null},{"id":"W3109800010","doi":"10.18280/jesa.530509","title":"Robust Control and Stability Analysis of Computerized Numeric Controlled Machine Tool under Parametric Uncertainty","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Parametric statistics; Robust control; Control engineering; Servomechanism; Control system; Stability (learning theory); Servo; Computer science; Machine tool; Servomotor; Engineering; Mathematics; Control (management); Artificial intelligence; Machine learning","score_opus":0.021551382951212016,"score_gpt":0.22660999073510008,"score_spread":0.20505860778388807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109800010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11674071,0.0007364971,0.8741255,0.0001647526,0.000039972805,0.000031160173,0.000047544996,0.00031699945,0.0077969446],"genre_scores_gemma":[0.9945551,0.00008274058,0.0046915207,0.000009760959,0.000008932899,0.00001899744,0.000017383873,0.000009141605,0.0006063846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994417,0.00012258464,0.000023282662,0.0001312982,0.00023687493,0.00004438557],"domain_scores_gemma":[0.99902296,0.00049806485,0.00021727777,0.00007265682,0.0001782451,0.000010765456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006702636,0.00047054622,0.00044221152,0.00031630692,0.00022610452,0.0006641168,0.0005527607,0.0005108553,0.0012428014],"category_scores_gemma":[0.0023272897,0.00017267097,0.0004700222,0.00026768717,0.0007862287,0.00043699105,0.00043522732,0.00037822014,0.00011370906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107439686,0.000018573146,0.00053678773,0.00015033213,0.000048042715,0.00013104889,0.00009982147,0.9433691,0.021025062,0.011697114,0.00025997567,0.022556663],"study_design_scores_gemma":[0.000006469195,0.00007853811,0.0005228713,0.000006100595,0.000007662091,0.000026686026,0.000008745936,0.99446195,0.0030057237,0.0016047764,0.0002643293,0.0000060925777],"about_ca_topic_score_codex":0.0029862383,"about_ca_topic_score_gemma":0.0012481695,"teacher_disagreement_score":0.0029862383,"about_ca_system_score_codex":0.0005534511,"about_ca_system_score_gemma":0.0006032104,"threshold_uncertainty_score":0.005937755},"labels":[],"label_agreement":null},{"id":"W3113129710","doi":"10.1109/syscon47679.2020.9275829","title":"Adaptive Control of a Ball and Beam System","year":2020,"lang":"en","type":"article","venue":"2020 IEEE International Systems Conference (SysCon)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Linear-quadratic regulator; Adaptive control; Control system; Ball (mathematics); Inner loop; Nonlinear system; Beam (structure); Engineering; Computer science; Optimal control; Mathematics; Control (management); Physics; Controller (irrigation); Mathematical optimization; Artificial intelligence","score_opus":0.018486890322469106,"score_gpt":0.21174136556960882,"score_spread":0.1932544752471397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113129710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10674832,0.00020775055,0.88230866,0.0002402754,0.00010932817,0.00007356562,0.000031161915,0.000891372,0.009389528],"genre_scores_gemma":[0.9768171,0.000069272166,0.019079855,0.000040750943,0.000018102342,0.0000478725,0.000019066314,0.000012410332,0.00389562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976724,0.000047913523,0.000010187698,0.00006822873,0.000081185426,0.000025272597],"domain_scores_gemma":[0.9997162,0.000112006666,0.000050363793,0.000024614998,0.00007665688,0.000020153193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004062068,0.00035300726,0.00030852214,0.00015448236,0.00032196683,0.000484844,0.0006553643,0.00043934907,0.0021636847],"category_scores_gemma":[0.00066743337,0.00016469175,0.00024624082,0.00013872063,0.00052268844,0.00031482492,0.00056832616,0.0005041146,0.00027145856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004542846,0.00015838882,0.0014312413,0.00024366523,0.000079334524,0.00022737798,0.0003393987,0.72714317,0.1267304,0.014000336,0.0017508988,0.12744151],"study_design_scores_gemma":[0.000025411135,0.00014502619,0.0004818662,0.00000476935,0.000009241245,0.000023024797,0.000010685634,0.99324155,0.0039124223,0.0007871661,0.001348977,0.000009884387],"about_ca_topic_score_codex":0.005985656,"about_ca_topic_score_gemma":0.003997112,"teacher_disagreement_score":0.005985656,"about_ca_system_score_codex":0.00030535474,"about_ca_system_score_gemma":0.0003996485,"threshold_uncertainty_score":0.011901617},"labels":[],"label_agreement":null},{"id":"W3113486666","doi":"10.18280/jesa.530603","title":"Consensus Control of Multi-agent Robot System with State Delay Based on Fractional-Order Iterative Learning Control Algorithm","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative learning control; Multi-agent system; Convergence (economics); Computer science; Algorithm; Graph; Norm (philosophy); Graph theory; Control theory (sociology); Control (management); Mathematics; Artificial intelligence; Theoretical computer science","score_opus":0.012072490848026727,"score_gpt":0.22390635991149185,"score_spread":0.21183386906346513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113486666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03320629,0.00025587535,0.96231407,0.00014636554,0.000054167078,0.000034250075,0.000012465119,0.00019090102,0.0037856451],"genre_scores_gemma":[0.9658734,0.00015111544,0.031908065,0.000043446766,0.000025550147,0.00008108793,0.000019063371,0.000012027659,0.001886197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956304,0.0000854189,0.000025549853,0.00012437743,0.00013394418,0.00006768],"domain_scores_gemma":[0.9995295,0.00017415466,0.000105230174,0.000030906856,0.00013022302,0.000029975441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074014545,0.0005625638,0.0007560059,0.00034007416,0.00070992677,0.0007856101,0.000901269,0.00064993877,0.0007332349],"category_scores_gemma":[0.0012014111,0.00020915073,0.00042933063,0.00039690157,0.0008480549,0.00059579447,0.0007835959,0.00061974674,0.000088409506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007449388,0.00002883197,0.00037883682,0.00007872925,0.000029348803,0.000110116445,0.00017318495,0.950653,0.0056661908,0.013218171,0.0003596002,0.029229438],"study_design_scores_gemma":[0.000009051805,0.000033084147,0.000049191873,0.0000024773694,0.0000035635085,0.000011509994,0.000005795918,0.997663,0.00044762917,0.0015881142,0.00018284774,0.0000036921358],"about_ca_topic_score_codex":0.007335771,"about_ca_topic_score_gemma":0.0030464039,"teacher_disagreement_score":0.007335771,"about_ca_system_score_codex":0.0007978023,"about_ca_system_score_gemma":0.0011592833,"threshold_uncertainty_score":0.014586151},"labels":[],"label_agreement":null},{"id":"W3119859608","doi":"10.1007/978-3-030-64715-5_3","title":"Non-dimensional Characterization of Power-Generating Archimedes Screws","year":2021,"lang":"en","type":"book-chapter","venue":"Springer proceedings in energy","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 Guelph","funders":"","keywords":"Dimensionless quantity; Rotation (mathematics); Variable (mathematics); Power (physics); Set (abstract data type); Generator (circuit theory); Mathematics; Mechanical engineering; Computer science; Engineering; Geometry; Mathematical analysis; Mechanics; Physics","score_opus":0.006202493396005521,"score_gpt":0.182745033009129,"score_spread":0.1765425396131235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119859608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13400379,0.0016162614,0.71264434,0.00080212735,0.00041492577,0.00007655406,0.00045637225,0.00031095362,0.14967465],"genre_scores_gemma":[0.8623227,0.0015857401,0.07095621,0.00025991478,0.0004807287,0.00015364529,0.0005493368,0.00037654606,0.06331526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969876,0.00006108844,0.00001958307,0.00006597655,0.00011360622,0.00004107946],"domain_scores_gemma":[0.9992472,0.00029922553,0.00010908634,0.000073302646,0.00017415697,0.00009708356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047378338,0.0009576073,0.00070136884,0.0018585798,0.0007285363,0.0024633657,0.0011529109,0.00087085523,0.010336412],"category_scores_gemma":[0.0020836955,0.00045306803,0.000680483,0.00096959725,0.0021282984,0.0023920985,0.0011556403,0.0020465653,0.0012979981],"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":[0.000019022396,0.000011216366,0.00009713397,0.000028036384,0.000004285355,0.00003340516,0.00005244879,0.0049817916,0.0020490438,0.9855247,0.0008119254,0.0063870577],"study_design_scores_gemma":[0.000009896168,0.000047782803,0.0003353621,0.000018788727,0.0000053000285,0.00020010925,0.000081731036,0.11057656,0.0014100022,0.8808407,0.006452873,0.000020881513],"about_ca_topic_score_codex":0.0006290313,"about_ca_topic_score_gemma":0.00063564,"teacher_disagreement_score":0.010336412,"about_ca_system_score_codex":0.0008549071,"about_ca_system_score_gemma":0.00050861447,"threshold_uncertainty_score":0.03457868},"labels":[],"label_agreement":null},{"id":"W3135427554","doi":"10.1109/tcyb.2021.3054421","title":"Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province; Natural Sciences and Engineering Research Council of Canada; Taishan Scholar Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Network topology; Control theory (sociology); Computer science; Convergence (economics); Consensus; Iterative learning control; Controller (irrigation); Lyapunov function; Event (particle physics); Multi-agent system; Iterative method; Nonlinear system; Mathematical optimization; Mathematics; Algorithm; Control (management); Artificial intelligence","score_opus":0.03884166669353144,"score_gpt":0.26624565121244376,"score_spread":0.2274039845189123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135427554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02351665,0.00007712645,0.9735483,0.00010281972,0.000022141227,0.00004956026,0.000024804283,0.00016340318,0.0024951736],"genre_scores_gemma":[0.9642865,0.000058362002,0.033913612,0.000057977173,0.000013802499,0.00014322677,0.00007373041,0.000019323523,0.0014334784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909055,0.0001700606,0.00006394165,0.00027220973,0.00028055877,0.00012259172],"domain_scores_gemma":[0.9987123,0.0004749935,0.00028437478,0.00012148814,0.00034019173,0.0000666613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011291982,0.00071075774,0.0007628826,0.0003803935,0.00053858815,0.0010132698,0.0015163833,0.0009315135,0.0013342185],"category_scores_gemma":[0.0026333379,0.00028859323,0.00052556756,0.00039875382,0.00090410735,0.0010129528,0.0014108964,0.001328367,0.0001878096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008203961,0.000041408897,0.00043921202,0.000070627655,0.00002157558,0.00013945255,0.00015848725,0.96227926,0.0033468565,0.014165268,0.00037684126,0.018879015],"study_design_scores_gemma":[0.0000067643423,0.000029659175,0.000047605918,0.0000022649735,0.0000025963172,0.000008246729,0.000011846366,0.99700934,0.00060377445,0.0021155584,0.00015913634,0.0000032101727],"about_ca_topic_score_codex":0.0047963387,"about_ca_topic_score_gemma":0.0030047514,"teacher_disagreement_score":0.0047963387,"about_ca_system_score_codex":0.000962097,"about_ca_system_score_gemma":0.0013256037,"threshold_uncertainty_score":0.009536803},"labels":[],"label_agreement":null},{"id":"W3139028633","doi":"10.1109/tmech.2021.3096601","title":"Global Iterative Sliding Mode Control of an Industrial Biaxial Gantry System for Contouring Motion Tasks","year":2021,"lang":"en","type":"preprint","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Contouring; Control theory (sociology); Iterative learning control; Nonlinear system; Backlash; Computer science; Domain (mathematical analysis); Sliding mode control; Convergence (economics); Control engineering; Control (management); Engineering; Mathematics; Artificial intelligence; Physics","score_opus":0.020639095605803116,"score_gpt":0.25533251125493256,"score_spread":0.23469341564912943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139028633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060882185,0.00021195112,0.9341094,0.00006965358,0.000041506937,0.000050041093,0.000009913086,0.00026503668,0.0043603377],"genre_scores_gemma":[0.96403605,0.00011517924,0.03397583,0.000020726498,0.000011981881,0.000065986,0.000020200236,0.000010293194,0.0017438798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976224,0.000047197413,0.000015040795,0.00007077633,0.0000783082,0.00002649548],"domain_scores_gemma":[0.99984694,0.0000402696,0.000034311506,0.00002200032,0.00004542866,0.000011025129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045633354,0.0006494998,0.00039563325,0.00018466427,0.00028459064,0.00054793555,0.0006520734,0.00042866182,0.0009101376],"category_scores_gemma":[0.0005192791,0.00014140946,0.00039884393,0.00017358817,0.00046596376,0.0003911811,0.00059610093,0.00047347188,0.00011517605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026107478,0.000060282222,0.0012971687,0.00021870545,0.00004739979,0.00021554978,0.0005073671,0.7890574,0.07138151,0.007664196,0.00073062105,0.12855881],"study_design_scores_gemma":[0.000014592993,0.00017307418,0.0003951672,0.0000067583924,0.000009389921,0.000024011135,0.000020880065,0.9943651,0.003838195,0.00044211425,0.00070325413,0.000007578271],"about_ca_topic_score_codex":0.0030995393,"about_ca_topic_score_gemma":0.0020579805,"teacher_disagreement_score":0.0030995393,"about_ca_system_score_codex":0.000273526,"about_ca_system_score_gemma":0.0004622221,"threshold_uncertainty_score":0.006163001},"labels":[],"label_agreement":null},{"id":"W3140840285","doi":"10.5555/1164085.1164086","title":"PD Control of robot with velocity estimation and uncertainties compensation","year":2006,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compensation (psychology); Control theory (sociology); Robot; Zero (linguistics); Control (management); State (computer science); Computer science; Joint (building); Control engineering; Industrial robot; Engineering; Artificial intelligence; Algorithm; Structural engineering; Psychology","score_opus":0.0041118990870187755,"score_gpt":0.2040026099256772,"score_spread":0.19989071083865842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140840285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018247254,0.00023986088,0.97703606,0.00014328132,0.000087542685,0.000026463358,0.000015494848,0.00056485913,0.003639122],"genre_scores_gemma":[0.9273858,0.00016339282,0.068052046,0.00005915546,0.000047514615,0.00006474158,0.000029563897,0.000027126925,0.0041706073],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997491,0.00004428826,0.000015642954,0.00005943313,0.00010599437,0.000025587506],"domain_scores_gemma":[0.9997861,0.00004941008,0.000034784895,0.00003996922,0.00007941404,0.00001040892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003683966,0.00033336552,0.000326697,0.00018991904,0.0003097101,0.00042444293,0.0006080846,0.0003652568,0.00070819753],"category_scores_gemma":[0.0009563869,0.00015884767,0.00019398255,0.0001854484,0.00046659852,0.00037522372,0.00046306817,0.000396037,0.0002430824],"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":[0.0006065097,0.00011304351,0.00096849195,0.00057928695,0.00005877055,0.00041272814,0.0003215458,0.391962,0.09417743,0.040396035,0.00406835,0.46633574],"study_design_scores_gemma":[0.00006261448,0.00029504037,0.00059239054,0.000013172257,0.00001735362,0.00018410372,0.000017778386,0.9649839,0.020441223,0.0080160415,0.005354968,0.000021330789],"about_ca_topic_score_codex":0.0015184256,"about_ca_topic_score_gemma":0.00086667115,"teacher_disagreement_score":0.0015184256,"about_ca_system_score_codex":0.00018775534,"about_ca_system_score_gemma":0.00033064725,"threshold_uncertainty_score":0.003019154},"labels":[],"label_agreement":null},{"id":"W3152700835","doi":"10.1016/j.ifacol.2020.12.2424","title":"Sliding mode control of a ball balancing robot","year":2020,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Ontario Ministry of Research, Innovation and Science; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Corporation for National and Community Service","keywords":"Control theory (sociology); Sliding mode control; Ball (mathematics); Nonlinear system; Robot; Linear regulator; Control engineering; Variable structure control; Linear-quadratic regulator; Computer science; Regulator; Control (management); Engineering; Mathematics; Artificial intelligence; Physics","score_opus":0.008832052508052851,"score_gpt":0.20909702636362837,"score_spread":0.2002649738555755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152700835","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06677304,0.00038204514,0.9222141,0.00018894524,0.0001105178,0.00007046242,0.000023155937,0.00054803776,0.009689669],"genre_scores_gemma":[0.9624739,0.00019981165,0.031065183,0.00006676443,0.000031819513,0.0000885306,0.000026572508,0.00002072716,0.006026598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998739,0.000027324078,0.0000048877464,0.000026558371,0.00005424018,0.000013144915],"domain_scores_gemma":[0.9999112,0.000022109343,0.000019548677,0.0000072655107,0.000029627245,0.00001016684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747686,0.000426833,0.00021575473,0.00019179085,0.00026170607,0.0004070596,0.0004954809,0.00051214534,0.0015658119],"category_scores_gemma":[0.0003314998,0.00015096908,0.00017310338,0.00012818677,0.0005060121,0.00028482464,0.00044822757,0.0002815067,0.00030081646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074309524,0.00013739143,0.0007327962,0.00047937725,0.00005988191,0.0005383567,0.0005731015,0.5071747,0.27831694,0.029612686,0.00271988,0.17891176],"study_design_scores_gemma":[0.000054284817,0.00059738965,0.00034665168,0.000017898707,0.000009961199,0.00005719442,0.000029707693,0.98299,0.010332436,0.0023899516,0.0031600795,0.000014466918],"about_ca_topic_score_codex":0.0018188137,"about_ca_topic_score_gemma":0.0010993598,"teacher_disagreement_score":0.0018188137,"about_ca_system_score_codex":0.00018459033,"about_ca_system_score_gemma":0.00030287146,"threshold_uncertainty_score":0.0052381754},"labels":[],"label_agreement":null},{"id":"W3160817298","doi":"","title":"Nonlinear PI controller for injection speed","year":2008,"lang":"en","type":"article","venue":"","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 New Brunswick","funders":"","keywords":"Control theory (sociology); Nonlinear system; PID controller; Controller (irrigation); Pi; Computer science; Mathematics; Physics; Engineering; Control engineering; Control (management); Artificial intelligence; Geometry","score_opus":0.013472662868497373,"score_gpt":0.21954215391479084,"score_spread":0.20606949104629346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160817298","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010356112,0.0005693757,0.95561934,0.0003399593,0.00048626176,0.00011725743,0.00007694508,0.0023139708,0.030120803],"genre_scores_gemma":[0.85209054,0.0006968783,0.10113979,0.00029752307,0.00015742221,0.0002067745,0.00021035766,0.00015403752,0.045046553],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982566,0.000014373087,0.000008751221,0.00004183886,0.00009297036,0.00001646296],"domain_scores_gemma":[0.99983966,0.00002056147,0.000015318024,0.000023348668,0.00009419399,0.0000068297436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023248192,0.00048473562,0.00035252565,0.00030641744,0.0005314674,0.000739513,0.0005842836,0.00036972584,0.007733965],"category_scores_gemma":[0.00064916996,0.00013843706,0.00021160513,0.00023909798,0.00027954762,0.0005396959,0.0005499704,0.00074950606,0.0019249968],"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":[0.0005166241,0.00019511092,0.0008716402,0.00063825166,0.000043677064,0.0002362252,0.000235232,0.1296841,0.13799107,0.050537914,0.013306381,0.6657437],"study_design_scores_gemma":[0.000052584262,0.000255065,0.0012169062,0.000043685486,0.00003719424,0.00019704766,0.000031695876,0.8889618,0.07426114,0.007485829,0.0274208,0.000036206937],"about_ca_topic_score_codex":0.0017067466,"about_ca_topic_score_gemma":0.0018642737,"teacher_disagreement_score":0.007733965,"about_ca_system_score_codex":0.00038070788,"about_ca_system_score_gemma":0.0005726579,"threshold_uncertainty_score":0.025872707},"labels":[],"label_agreement":null},{"id":"W3177594425","doi":"10.1080/00207721.2021.1950232","title":"Quantisation compensated data-driven iterative learning control for nonlinear systems","year":2021,"lang":"en","type":"article","venue":"International Journal of Systems Science","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Iterative learning control; Computer science; Nonlinear system; Control theory (sociology); Decoding methods; Convergence (economics); Iterative method; Compensation (psychology); Linear system; Control (management); Algorithm; Artificial intelligence; Mathematics","score_opus":0.029373353201798617,"score_gpt":0.3010938383665007,"score_spread":0.2717204851647021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177594425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069529726,0.0002367179,0.99083555,0.00006785452,0.000033891673,0.000025059695,0.00001178004,0.00015999425,0.0016762243],"genre_scores_gemma":[0.88708645,0.000309621,0.108815715,0.00011769211,0.000046312765,0.00016479053,0.00008227603,0.000045019613,0.0033321842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953866,0.0000869897,0.000032737167,0.00009854884,0.00019690576,0.000046087353],"domain_scores_gemma":[0.9992525,0.0003322459,0.00010863656,0.00007209559,0.00021273778,0.000021694408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009815276,0.0005137246,0.0005473572,0.00028311115,0.00038077447,0.0006841694,0.0010804547,0.0005462054,0.0011489093],"category_scores_gemma":[0.0018937908,0.00022356084,0.00034637048,0.0004052584,0.0009707346,0.0007537697,0.0011187162,0.00094943243,0.0002122311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010347818,0.000045701432,0.0004233192,0.00026422594,0.00003652142,0.000072250165,0.0002710261,0.83428735,0.013367902,0.038473047,0.0008934269,0.11176182],"study_design_scores_gemma":[0.0000071042055,0.00003643941,0.000045187862,0.0000072137136,0.000003448348,0.000009700653,0.000003537001,0.9955473,0.001710905,0.0020106118,0.00061225763,0.0000062810977],"about_ca_topic_score_codex":0.004311436,"about_ca_topic_score_gemma":0.0030483855,"teacher_disagreement_score":0.004311436,"about_ca_system_score_codex":0.000765792,"about_ca_system_score_gemma":0.0011588549,"threshold_uncertainty_score":0.008572698},"labels":[],"label_agreement":null},{"id":"W3195795286","doi":"10.1109/tmech.2021.3096601","title":"Global Iterative Sliding Mode Control of an Industrial Biaxial Gantry System for Contouring Motion Tasks","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Contouring; Control theory (sociology); Iterative learning control; Nonlinear system; Computer science; Backlash; Domain (mathematical analysis); Sliding mode control; Convergence (economics); Motion control; Work (physics); Control engineering; Control (management); Engineering; Artificial intelligence; Mathematics; Physics; Robot; Mechanical engineering","score_opus":0.0413118003908707,"score_gpt":0.18408305150383675,"score_spread":0.14277125111296604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195795286","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044466745,0.00019427086,0.9510668,0.000063866384,0.00003586446,0.000041400304,0.000008458328,0.0002149599,0.003907546],"genre_scores_gemma":[0.95767426,0.00013711913,0.039978188,0.000024367702,0.000015294841,0.00007297074,0.000021277454,0.0000121345865,0.0020644523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975604,0.00004984785,0.00001543302,0.00007267603,0.00007844031,0.000027658572],"domain_scores_gemma":[0.99984396,0.000043623244,0.000035983423,0.000020790207,0.000044844022,0.0000108281565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047997295,0.0006546452,0.00040922302,0.00018847172,0.00028683958,0.00058597623,0.00072637195,0.00046363572,0.0009544261],"category_scores_gemma":[0.00055997964,0.00015080218,0.00041046628,0.0001752225,0.00052808784,0.00040825768,0.00064216694,0.00049569446,0.00012618427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022075014,0.00005169405,0.0011138194,0.00021313701,0.000043656975,0.00019667204,0.00048623822,0.80788153,0.05800443,0.008865437,0.0007036558,0.12221891],"study_design_scores_gemma":[0.000012407537,0.00014363095,0.00030689788,0.000006916723,0.000008379658,0.000021131653,0.000018413819,0.99532324,0.0030032587,0.00046896457,0.00067999633,0.000006813309],"about_ca_topic_score_codex":0.0031651545,"about_ca_topic_score_gemma":0.0021014311,"teacher_disagreement_score":0.0031651545,"about_ca_system_score_codex":0.00028983457,"about_ca_system_score_gemma":0.00047429107,"threshold_uncertainty_score":0.0062934756},"labels":[],"label_agreement":null},{"id":"W3199995064","doi":"10.32920/ryerson.14657778.v1","title":"Position Domain Synchronization Control For Robotic Manipulators","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Position (finance); Synchronization (alternating current); Computer science; Domain (mathematical analysis); Controller (irrigation); Nonlinear system; Lyapunov stability; Motion control; Tracking error; Contouring; Lyapunov function; Control (management); Control engineering; Artificial intelligence; Mathematics; Robot; Engineering","score_opus":0.007281715962366131,"score_gpt":0.2141562670901702,"score_spread":0.20687455112780406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199995064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03384734,0.00047595828,0.9593516,0.00010472071,0.00009607449,0.000033176566,0.000012574186,0.0002722727,0.0058062524],"genre_scores_gemma":[0.90636915,0.0005858785,0.08501856,0.000071390736,0.000065788554,0.000091267655,0.000041890635,0.00003442315,0.0077216015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998852,0.000016432567,0.000005331415,0.000031379535,0.000053241572,0.000008374505],"domain_scores_gemma":[0.9998826,0.000031660507,0.000033031036,0.000013027444,0.000034946468,0.000004724554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022880534,0.00027878667,0.0002003429,0.0001925175,0.00017727174,0.00032001137,0.0003377451,0.0002627326,0.0010596879],"category_scores_gemma":[0.00047465085,0.00010803133,0.00018127561,0.0002184361,0.0004726586,0.00030676817,0.00037934622,0.00040889453,0.0001767074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001244747,0.0000632542,0.00048396818,0.00024454147,0.000035738143,0.00019755753,0.00029891834,0.5441259,0.12254783,0.08088364,0.0015964685,0.24939768],"study_design_scores_gemma":[0.00003365632,0.00027384545,0.00042853144,0.000018684908,0.00000987616,0.00007875152,0.000023247689,0.9664855,0.016159434,0.009027571,0.0074441684,0.00001676277],"about_ca_topic_score_codex":0.0007725117,"about_ca_topic_score_gemma":0.0005004711,"teacher_disagreement_score":0.0010596879,"about_ca_system_score_codex":0.00026139012,"about_ca_system_score_gemma":0.00029177425,"threshold_uncertainty_score":0.0035449862},"labels":[],"label_agreement":null},{"id":"W3202510857","doi":"10.1109/tsmc.2021.3113090","title":"Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province; Key Laboratory of Advanced Control and Optimization for Chemical Processes; National Natural Science Foundation of China","keywords":"Iterative learning control; Computer science; Control theory (sociology); HVAC; Convergence (economics); Trajectory; Multi-agent system; Discrete time and continuous time; Adaptive control; Controller (irrigation); Nonlinear system; Scheme (mathematics); Control engineering; Control (management); Mathematics; Artificial intelligence; Engineering; Air conditioning","score_opus":0.007307750277780359,"score_gpt":0.2052672391775774,"score_spread":0.19795948889979703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202510857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011508792,0.00027087596,0.98579156,0.00011997554,0.000038681243,0.000025534964,0.0000059991376,0.00014047566,0.0020981326],"genre_scores_gemma":[0.9454518,0.00024218358,0.0522043,0.000082386876,0.00005089163,0.00007975346,0.000026246407,0.000016463018,0.0018460377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999474,0.0001036501,0.000034856443,0.0001404412,0.00019093556,0.000056064542],"domain_scores_gemma":[0.9993318,0.00023668766,0.0001297316,0.00007811355,0.00019472347,0.000028925511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084801094,0.0006047074,0.0005505019,0.00026556052,0.0005032195,0.00063533656,0.0011707145,0.00077678583,0.00086129527],"category_scores_gemma":[0.0014934315,0.00019555345,0.00045747048,0.00041458913,0.0009009543,0.0006160255,0.0009322766,0.000920079,0.00015062226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004976964,0.000039561663,0.00036374398,0.000089271154,0.000030402105,0.000097481956,0.00016840432,0.933724,0.005106696,0.010717838,0.00036334665,0.049249504],"study_design_scores_gemma":[0.000006563105,0.000034010016,0.00005134483,0.0000031419243,0.0000037076702,0.000013708592,0.000008125202,0.9971499,0.00081269967,0.001554108,0.00035840124,0.0000042732445],"about_ca_topic_score_codex":0.004091906,"about_ca_topic_score_gemma":0.0026093642,"teacher_disagreement_score":0.004091906,"about_ca_system_score_codex":0.00059113256,"about_ca_system_score_gemma":0.00083936757,"threshold_uncertainty_score":0.008136213},"labels":[],"label_agreement":null},{"id":"W3210995614","doi":"10.1049/elp2.12135","title":"Design parameters of a reluctance actuation system for stable operation conditions with applications of high‐precision motions in lithography machines","year":2021,"lang":"en","type":"article","venue":"IET Electric Power Applications","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Lithography; Magnetic reluctance; Control engineering; Actuator; Automotive engineering; Control theory (sociology); Engineering; Computer science; Materials science; Mechanical engineering; Electrical engineering; Magnet; Optoelectronics; Artificial intelligence","score_opus":0.006259322387305819,"score_gpt":0.22196562768086686,"score_spread":0.21570630529356105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210995614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15212344,0.00056456024,0.8329342,0.000281588,0.000058339072,0.00020721319,0.00004346321,0.00067426235,0.013112874],"genre_scores_gemma":[0.98048556,0.00006838901,0.018093593,0.00002046685,0.000006032112,0.00008132626,0.00001529911,0.000012170743,0.0012171109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972504,0.00006491136,0.000023639894,0.00006105207,0.00009581116,0.0000295988],"domain_scores_gemma":[0.9995888,0.00012520122,0.00012552962,0.000026248557,0.000121018296,0.000013284448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000529258,0.00064975425,0.00035439362,0.00035000622,0.00036084143,0.0006725335,0.00048699105,0.0006579774,0.0018523363],"category_scores_gemma":[0.00084437925,0.00023716221,0.00030359565,0.00016928143,0.00035867403,0.00038674986,0.00031495822,0.00031768015,0.00036359215],"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":[0.00047098479,0.00016028043,0.0010600043,0.00078810373,0.000083432795,0.0003570371,0.00063941866,0.5231519,0.37038118,0.0071212924,0.0010757626,0.0947106],"study_design_scores_gemma":[0.00008258,0.00066316634,0.0016337633,0.000046649297,0.000049202594,0.00014392419,0.00005842958,0.9557076,0.037468538,0.0009798303,0.0031351207,0.000031226995],"about_ca_topic_score_codex":0.0016422669,"about_ca_topic_score_gemma":0.0013961485,"teacher_disagreement_score":0.0018523363,"about_ca_system_score_codex":0.00039563817,"about_ca_system_score_gemma":0.0005356097,"threshold_uncertainty_score":0.0061966777},"labels":[],"label_agreement":null},{"id":"W3214757493","doi":"10.1115/detc2000/mech-14158","title":"Trajectory Control of Two DOF Closed-Chain Mechanical Systems","year":2000,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Control theory (sociology); Servomotor; Trajectory; Torque; Feed forward; Computer science; Open-loop controller; Control engineering; Flywheel; Engineering; Closed loop; Control (management); Artificial intelligence; Physics","score_opus":0.005236359897291126,"score_gpt":0.20239182602002923,"score_spread":0.1971554661227381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214757493","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031332023,0.00011003716,0.966907,0.00006084605,0.000029004077,0.000031020387,0.000010880036,0.0002041666,0.0013150483],"genre_scores_gemma":[0.94809157,0.000088792876,0.04937907,0.000021589554,0.000013446705,0.000064250744,0.000031343672,0.000014144591,0.0022958324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997081,0.000056545316,0.000018669121,0.00007583359,0.00011155037,0.000029183804],"domain_scores_gemma":[0.999401,0.00021616207,0.000095845615,0.000056211848,0.00020022824,0.000030593837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005946094,0.0004893547,0.00034988794,0.00025524723,0.00032277513,0.0004953782,0.0005165403,0.00047787683,0.0014326266],"category_scores_gemma":[0.0012549064,0.0001609003,0.00021213562,0.00025336017,0.0005849038,0.00044848165,0.00042664286,0.0004998801,0.00016989006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014223484,0.000045528235,0.000663174,0.00014592701,0.000030572242,0.0001295399,0.0001832366,0.8659573,0.025289612,0.019459005,0.0004910465,0.08746277],"study_design_scores_gemma":[0.000014660788,0.000052646195,0.00013815046,0.000004796575,0.0000026558107,0.000012623921,0.0000055524943,0.99587893,0.0022124508,0.0012254174,0.00044780647,0.000004168497],"about_ca_topic_score_codex":0.0039504375,"about_ca_topic_score_gemma":0.0017135156,"teacher_disagreement_score":0.0039504375,"about_ca_system_score_codex":0.00047661675,"about_ca_system_score_gemma":0.00052339537,"threshold_uncertainty_score":0.007854879},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14170033,0.002820232,0.82662463,0.0019755424,0.000260147,0.000086296284,0.00015844232,0.001276955,0.025097433],"genre_scores_gemma":[0.98791295,0.0004689968,0.008360301,0.00010037764,0.000046713336,0.00006719231,0.00006911953,0.000096854244,0.0028774396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896896,0.00021626406,0.00008577895,0.00011170307,0.00049095904,0.0001263851],"domain_scores_gemma":[0.9932761,0.0049659703,0.00030181246,0.00049707957,0.00085582596,0.00010317134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026570142,0.00065274123,0.0010056942,0.00042641087,0.00058881636,0.0018887537,0.0012067346,0.0014256741,0.0035240513],"category_scores_gemma":[0.010869473,0.00048699105,0.00034004336,0.00041039565,0.0009960196,0.002157117,0.0013087036,0.0013166418,0.00053363765],"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":[0.0016055708,0.0001566124,0.0011160565,0.0021233908,0.0001252198,0.0007638777,0.00079424586,0.69015914,0.033033863,0.093048364,0.0058299103,0.1712437],"study_design_scores_gemma":[0.00006923691,0.00018031502,0.00064416754,0.000070660615,0.000030271196,0.0001524602,0.00008492626,0.9505969,0.011033917,0.036008097,0.0010983192,0.00003068053],"about_ca_topic_score_codex":0.001523544,"about_ca_topic_score_gemma":0.0007754789,"teacher_disagreement_score":0.0035240513,"about_ca_system_score_codex":0.0005558753,"about_ca_system_score_gemma":0.000753668,"threshold_uncertainty_score":0.014051795},"labels":[],"label_agreement":null},{"id":"W4206197426","doi":"10.1016/b978-0-12-815785-5.00012-1","title":"Dynamics of single-DOF machines","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","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":"Memorial University of Newfoundland","funders":"","keywords":"Dynamics (music); Computer science; Control theory (sociology); Physics; Artificial intelligence; Acoustics","score_opus":0.008426581946851816,"score_gpt":0.19893188421067384,"score_spread":0.19050530226382204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206197426","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036320211,0.023672847,0.4468491,0.001191559,0.0020128617,0.000040675775,0.00050656084,0.001194245,0.5209001],"genre_scores_gemma":[0.09588417,0.031850707,0.120694295,0.00036475976,0.0010709553,0.00016221404,0.0010586701,0.0003936084,0.7485207],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992096,0.000009623791,0.0000032287473,0.000015182627,0.000045793942,0.000005255489],"domain_scores_gemma":[0.9999393,0.00002525591,0.000004600856,0.0000101348505,0.0000150696505,0.000005626291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010439087,0.0006106933,0.00046518288,0.00044825344,0.00021477057,0.0010085683,0.0005070884,0.0005822357,0.034059785],"category_scores_gemma":[0.00029239635,0.00031223753,0.0003097187,0.0005770816,0.0005243599,0.0009071931,0.00054849725,0.0009325587,0.010911911],"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":[0.000028079014,0.000024788056,0.00014172957,0.0004628789,0.000018857976,0.00007729476,0.00013453963,0.050889544,0.0064760568,0.39894396,0.07177377,0.47102863],"study_design_scores_gemma":[0.000011285261,0.00003633309,0.0004960129,0.00022866389,0.000007912393,0.00024578633,0.0000532302,0.07890345,0.0020682593,0.28991163,0.6280144,0.000023142564],"about_ca_topic_score_codex":0.0007812339,"about_ca_topic_score_gemma":0.0011138312,"teacher_disagreement_score":0.034059785,"about_ca_system_score_codex":0.0003105578,"about_ca_system_score_gemma":0.00028252092,"threshold_uncertainty_score":0.11394137},"labels":[],"label_agreement":null},{"id":"W4206754194","doi":"10.1109/ccta48906.2021.9658872","title":"On Stability of a Multi-Reluctance Actuation System for Precision Motion Control","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Feed forward; Actuator; Magnetic reluctance; Frequency domain; Computer science; Time domain; Controller (irrigation); Control engineering; Switched reluctance motor; Control system; Stability (learning theory); Reluctance motor; Torque; Engineering; Control (management); Physics; Magnet","score_opus":0.016158498090806446,"score_gpt":0.24765409616006492,"score_spread":0.23149559806925848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206754194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08495731,0.001195265,0.9022537,0.00025550943,0.00006285022,0.000049305596,0.00004888417,0.0002769569,0.0109003065],"genre_scores_gemma":[0.98230493,0.00038202535,0.014066157,0.00003324474,0.000023913843,0.000055030985,0.000046239642,0.0000238518,0.003064651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995365,0.000102917424,0.000026255118,0.000120762495,0.00016839732,0.000045252433],"domain_scores_gemma":[0.9995072,0.00021972583,0.00008483433,0.000030875322,0.0001442262,0.000013255258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059588364,0.0006675845,0.0006230394,0.00040688386,0.00044473636,0.00087234424,0.00047596477,0.0006717098,0.0020783788],"category_scores_gemma":[0.001454959,0.0001966126,0.00051849545,0.00022691915,0.00060562586,0.0007718281,0.0005804841,0.00054,0.0003274675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004398505,0.00007949365,0.0018820292,0.00075414643,0.00010070871,0.0011127157,0.0008446732,0.6638468,0.1787143,0.091814205,0.0012237714,0.059187256],"study_design_scores_gemma":[0.000013971525,0.00017486897,0.0004381525,0.000020319727,0.000012148353,0.00012448018,0.000038327693,0.987199,0.0055790544,0.0053268415,0.001055674,0.000017136286],"about_ca_topic_score_codex":0.0024842492,"about_ca_topic_score_gemma":0.0015603631,"teacher_disagreement_score":0.0024842492,"about_ca_system_score_codex":0.00042135993,"about_ca_system_score_gemma":0.0005561307,"threshold_uncertainty_score":0.006952882},"labels":[],"label_agreement":null},{"id":"W4210623468","doi":"10.1002/rnc.6027","title":"Data‐driven iterative learning control using a uniform quantizer with an encoding–decoding mechanism","year":2022,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Bounded function; Robustness (evolution); Control theory (sociology); Nonlinear system; Computer science; Decoding methods; Quantization (signal processing); Tracking error; Mathematics; Algorithm; Artificial intelligence; Control (management)","score_opus":0.028034183098470333,"score_gpt":0.2663100379079438,"score_spread":0.23827585480947344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210623468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007897334,0.00013312422,0.9901288,0.000081876424,0.000027069229,0.000027211587,0.000015886812,0.000107163134,0.0015814314],"genre_scores_gemma":[0.8864477,0.00018794107,0.11060725,0.00012037234,0.00003253249,0.00015428812,0.00005308882,0.00002853295,0.0023682476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932075,0.00014170657,0.000056809717,0.00017814118,0.0002430507,0.000059582875],"domain_scores_gemma":[0.99900514,0.00037496767,0.00014926882,0.00015528963,0.00028333618,0.000032100023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012712016,0.00049162464,0.00058210746,0.00029167856,0.00032974978,0.0009884994,0.0011385053,0.00060052326,0.001197931],"category_scores_gemma":[0.0026312184,0.00026199193,0.00034546736,0.00044381988,0.0012324596,0.0012576345,0.0012366917,0.001087086,0.00019671874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012198834,0.00006717916,0.0005788244,0.00027120078,0.000039913215,0.00008611796,0.00025984575,0.790511,0.019682275,0.101206854,0.0009949208,0.08617994],"study_design_scores_gemma":[0.0000086404525,0.000042798496,0.000037133654,0.000008199517,0.0000042106503,0.0000086776945,0.000005256115,0.9939891,0.0023314985,0.0030805147,0.00047694633,0.0000069968037],"about_ca_topic_score_codex":0.003095578,"about_ca_topic_score_gemma":0.001545793,"teacher_disagreement_score":0.003095578,"about_ca_system_score_codex":0.00094323634,"about_ca_system_score_gemma":0.0010018736,"threshold_uncertainty_score":0.0068437457},"labels":[],"label_agreement":null},{"id":"W4213457394","doi":"10.1109/tac.2022.3154347","title":"Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Linearization; Nonlinear system; Computer science; Controller (irrigation); Linear system; Adaptive control; Convergence (economics); Scheme (mathematics); Feedback linearization; Mathematics; Control (management); Artificial intelligence","score_opus":0.009918417540330644,"score_gpt":0.2095492412555,"score_spread":0.19963082371516935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213457394","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066841575,0.00020904186,0.98902166,0.000045128778,0.000049055176,0.0000429707,0.000009433488,0.00024553356,0.0036929199],"genre_scores_gemma":[0.8488806,0.00042536855,0.1443305,0.00017920721,0.00010395356,0.00022267333,0.000057804213,0.000054209824,0.0057457434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995396,0.000103882936,0.00002878558,0.00009745134,0.00019241213,0.000037778762],"domain_scores_gemma":[0.99943835,0.00018293255,0.00007900561,0.000091815804,0.00018016344,0.000027754559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007081716,0.00067940215,0.00059782434,0.0003789163,0.00033176853,0.0008185265,0.001536008,0.0005927099,0.001571564],"category_scores_gemma":[0.0014293758,0.00022442985,0.0004248591,0.0003546557,0.0007657194,0.0008552024,0.0011946326,0.0009785001,0.00036919065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031406732,0.00017559608,0.0011532028,0.0004342136,0.00010703317,0.000274731,0.0003646001,0.5478239,0.037973803,0.050307438,0.003000018,0.35807148],"study_design_scores_gemma":[0.00001722181,0.00012913278,0.00014684652,0.000013287819,0.000008173312,0.00004753276,0.000005610101,0.9922707,0.0033825613,0.002054093,0.0019139635,0.0000108974755],"about_ca_topic_score_codex":0.0012787714,"about_ca_topic_score_gemma":0.0013061627,"teacher_disagreement_score":0.001571564,"about_ca_system_score_codex":0.0003989352,"about_ca_system_score_gemma":0.0004940816,"threshold_uncertainty_score":0.0052574277},"labels":[],"label_agreement":null},{"id":"W4226510577","doi":"10.1109/tie.2022.3165305","title":"Hybrid Active–Passive Robust Control Framework of a Flexure-Joint Dual-Drive Gantry Robot for High-Precision Contouring Tasks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Contouring; Computer science; Nonlinear system; Motion control; Iterative learning control; Robot; Engineering; Control engineering; Artificial intelligence; Control (management)","score_opus":0.018425159471966688,"score_gpt":0.22674939562668533,"score_spread":0.20832423615471865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226510577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017122423,0.00030580122,0.97748816,0.00012459612,0.000068765425,0.00004719994,0.000013594542,0.00032630042,0.0045031025],"genre_scores_gemma":[0.9358182,0.00035889106,0.05888932,0.000077128934,0.000054639215,0.00021764066,0.000035166144,0.000020953712,0.0045280033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995876,0.000062760766,0.000023128085,0.00014100799,0.0001472255,0.00003820518],"domain_scores_gemma":[0.9997954,0.000044557888,0.000057641853,0.000022990966,0.00006686024,0.000012587982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005696977,0.0008664114,0.0006388032,0.00031582417,0.00040794353,0.00091327215,0.0014094536,0.0007779322,0.0013257937],"category_scores_gemma":[0.00045553947,0.0003194572,0.00058475777,0.00021700497,0.00077886897,0.0006591682,0.001019683,0.0006825351,0.00022740908],"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":[0.00020439485,0.00006022232,0.00060006045,0.00030154554,0.00007138828,0.00045541354,0.0002731495,0.8377421,0.06439229,0.01802379,0.001110391,0.07676527],"study_design_scores_gemma":[0.00001714496,0.00013458253,0.00015038099,0.000008260076,0.000013308762,0.00003733257,0.000012759717,0.99562377,0.002353537,0.00075349637,0.0008858456,0.000009618176],"about_ca_topic_score_codex":0.0033894612,"about_ca_topic_score_gemma":0.0019126548,"teacher_disagreement_score":0.0033894612,"about_ca_system_score_codex":0.00033556568,"about_ca_system_score_gemma":0.0006720309,"threshold_uncertainty_score":0.0067394376},"labels":[],"label_agreement":null},{"id":"W4233243401","doi":"10.32920/ryerson.14645799.v1","title":"Design, analysis and testing of a radial-axial hybrid active force compliant tool head for deburring turbine engine parts","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Actuator; Mechanical engineering; Gimbal; Stiffness; Engineering; Process (computing); Head (geology); Computer science; Structural engineering; Aerospace engineering","score_opus":0.03239512947975361,"score_gpt":0.2533442577758204,"score_spread":0.22094912829606683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233243401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64212275,0.0005305146,0.3492531,0.00019550837,0.00009538145,0.00062488497,0.00015846995,0.0014484379,0.005570987],"genre_scores_gemma":[0.91571695,0.00014301718,0.07956458,0.000044813143,0.00001023864,0.00013147996,0.0000734334,0.00004525136,0.004270154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992861,0.000051656607,0.000027945158,0.00006871536,0.00049270195,0.00007282242],"domain_scores_gemma":[0.9989002,0.00023838916,0.0002391392,0.00018126318,0.0003482587,0.00009269539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007496204,0.00032218083,0.00038679116,0.0004177576,0.0002298617,0.00068339135,0.0015046397,0.0006980421,0.0019010196],"category_scores_gemma":[0.0011592252,0.00022884812,0.0002782113,0.0001591348,0.000502472,0.00052943354,0.00046212185,0.00029834078,0.00046730842],"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":[0.0003578713,0.00022428454,0.002917105,0.0007870496,0.000064857944,0.00070796814,0.0006069674,0.05610089,0.8012961,0.0038455809,0.00096926355,0.13212211],"study_design_scores_gemma":[0.00013053793,0.006687954,0.0094059175,0.000074374155,0.000092903705,0.00088026765,0.00024042709,0.2237936,0.7372209,0.00068093656,0.020697609,0.000094599374],"about_ca_topic_score_codex":0.0006079551,"about_ca_topic_score_gemma":0.0007716303,"teacher_disagreement_score":0.0019010196,"about_ca_system_score_codex":0.000522751,"about_ca_system_score_gemma":0.0008058828,"threshold_uncertainty_score":0.006359577},"labels":[],"label_agreement":null},{"id":"W4235075165","doi":"10.32920/ryerson.14647602","title":"A Novel Position Domain Controller For Contour Tracking Performance Improvement","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Position (finance); Controller (irrigation); Computer science; Feed forward; Contouring; Frequency domain; Time domain; Numerical control; Tracking error; Motion control; Domain (mathematical analysis); Control engineering; Machining; Artificial intelligence; Engineering; Computer vision; Mathematics; Control (management); Robot","score_opus":0.011919820057247342,"score_gpt":0.2254429538959761,"score_spread":0.21352313383872876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235075165","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019864898,0.0003341729,0.96914166,0.0001231294,0.00020941583,0.00010295306,0.000025301923,0.0010512816,0.009147208],"genre_scores_gemma":[0.8494594,0.0004298026,0.13679615,0.0002136891,0.00012384987,0.0002397851,0.000087858476,0.00005571341,0.012593749],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973243,0.000023136443,0.000018172597,0.000067926856,0.00014026627,0.000018136809],"domain_scores_gemma":[0.9997173,0.000049579434,0.000032172633,0.000028394445,0.00016094773,0.000011486647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028983405,0.0004378381,0.00034558846,0.0003111197,0.00036158835,0.0006610501,0.00086525356,0.0006044276,0.0021473528],"category_scores_gemma":[0.0006100254,0.00014102111,0.0002443926,0.00020572162,0.00032798617,0.0004637672,0.00042171395,0.0006536691,0.00047527134],"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":[0.00035970134,0.0002872979,0.00073107803,0.00048515334,0.000064378015,0.000447376,0.0003378479,0.24207526,0.22540414,0.025660537,0.005161853,0.49898532],"study_design_scores_gemma":[0.00006813516,0.00037031432,0.00046426075,0.000021086867,0.000021478912,0.00017903848,0.000013550999,0.9613962,0.028149717,0.0010522712,0.00824017,0.000023701548],"about_ca_topic_score_codex":0.0015202354,"about_ca_topic_score_gemma":0.0012715001,"teacher_disagreement_score":0.0021473528,"about_ca_system_score_codex":0.00035897404,"about_ca_system_score_gemma":0.00053650234,"threshold_uncertainty_score":0.0071836114},"labels":[],"label_agreement":null},{"id":"W4242383550","doi":"10.1109/imtc.1997.610282","title":"Intelligent built-in torque sensor for harmonic drive systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Damping torque; Control theory (sociology); Torque; Stall torque; Harmonic drive; Strain gauge; Direct torque control; Harmonic; Engineering; Extended Kalman filter; Computer science; Kalman filter; Acoustics; Physics; Voltage; Electrical engineering; Mechanical engineering; Artificial intelligence; Induction motor","score_opus":0.021740817140728785,"score_gpt":0.229462522392218,"score_spread":0.20772170525148922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242383550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02933665,0.0008401268,0.9563669,0.00020437405,0.00033235294,0.00015710619,0.0001535794,0.004076653,0.008532295],"genre_scores_gemma":[0.75209767,0.00032428533,0.23737648,0.00022637316,0.00013469887,0.00013863592,0.00027035453,0.000106261396,0.009325355],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942434,0.00007325064,0.000030911742,0.00007488311,0.00036495968,0.000031771127],"domain_scores_gemma":[0.9994721,0.00009596128,0.00007801597,0.00010117385,0.00021743476,0.000035371435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003726496,0.00047670328,0.0005831212,0.00038031556,0.00028108835,0.0006768274,0.0010970654,0.0005335906,0.002027999],"category_scores_gemma":[0.00089938514,0.00022739865,0.00021322457,0.00026150877,0.00032727869,0.00058801216,0.00034350774,0.00064924976,0.0011028197],"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":[0.0006505735,0.0002560448,0.0030271027,0.00080619956,0.00006522418,0.00032246442,0.00025909138,0.022880206,0.3987759,0.014798235,0.009449766,0.5487093],"study_design_scores_gemma":[0.00024706047,0.0012705352,0.008809921,0.000094978845,0.00022381321,0.0013161186,0.00006937465,0.5153757,0.37725013,0.0045394944,0.090635076,0.00016779854],"about_ca_topic_score_codex":0.00051015045,"about_ca_topic_score_gemma":0.0009170207,"teacher_disagreement_score":0.002027999,"about_ca_system_score_codex":0.00041457984,"about_ca_system_score_gemma":0.00041059015,"threshold_uncertainty_score":0.00678432},"labels":[],"label_agreement":null},{"id":"W4242740202","doi":"10.32920/ryerson.14645799","title":"Design, analysis and testing of a radial-axial hybrid active force compliant tool head for deburring turbine engine parts","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Actuator; Mechanical engineering; Gimbal; Stiffness; Engineering; Head (geology); Process (computing); Computer science; Structural engineering; Aerospace engineering","score_opus":0.03239512947975361,"score_gpt":0.2533442577758204,"score_spread":0.22094912829606683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242740202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64212275,0.0005305146,0.3492531,0.00019550837,0.00009538145,0.00062488497,0.00015846995,0.0014484379,0.005570987],"genre_scores_gemma":[0.91571695,0.00014301718,0.07956458,0.000044813143,0.00001023864,0.00013147996,0.0000734334,0.00004525136,0.004270154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992861,0.000051656607,0.000027945158,0.00006871536,0.00049270195,0.00007282242],"domain_scores_gemma":[0.9989002,0.00023838916,0.0002391392,0.00018126318,0.0003482587,0.00009269539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007496204,0.00032218083,0.00038679116,0.0004177576,0.0002298617,0.00068339135,0.0015046397,0.0006980421,0.0019010196],"category_scores_gemma":[0.0011592252,0.00022884812,0.0002782113,0.0001591348,0.000502472,0.00052943354,0.00046212185,0.00029834078,0.00046730842],"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":[0.0003578713,0.00022428454,0.002917105,0.0007870496,0.000064857944,0.00070796814,0.0006069674,0.05610089,0.8012961,0.0038455809,0.00096926355,0.13212211],"study_design_scores_gemma":[0.00013053793,0.006687954,0.0094059175,0.000074374155,0.000092903705,0.00088026765,0.00024042709,0.2237936,0.7372209,0.00068093656,0.020697609,0.000094599374],"about_ca_topic_score_codex":0.0006079551,"about_ca_topic_score_gemma":0.0007716303,"teacher_disagreement_score":0.0019010196,"about_ca_system_score_codex":0.000522751,"about_ca_system_score_gemma":0.0008058828,"threshold_uncertainty_score":0.006359577},"labels":[],"label_agreement":null},{"id":"W4243343308","doi":"10.1109/pesc.1997.616875","title":"New integration algorithms for estimating motor flux over a wide speed range","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Integrator; Computer science; Algorithm; Range (aeronautics); Distortion (music); Control theory (sociology); Nonlinear system; Amplitude; Limiter; DC motor; Engineering; Control (management); Amplifier; Artificial intelligence; Physics; Electrical engineering; Bandwidth (computing)","score_opus":0.019830654905816578,"score_gpt":0.2410768599379735,"score_spread":0.22124620503215692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243343308","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021233251,0.00016678468,0.9972162,0.00001670342,0.000019314886,0.000015008589,0.0000038101225,0.0001986307,0.00024017543],"genre_scores_gemma":[0.07368254,0.0002909135,0.9243763,0.000045212586,0.000073013995,0.00011856802,0.000057618374,0.00009032549,0.0012654193],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990852,0.00011928528,0.000092802955,0.00014534315,0.00051293836,0.00004438862],"domain_scores_gemma":[0.9981664,0.00073405815,0.00022369945,0.00012998072,0.00071163906,0.00003426161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015048339,0.0008792949,0.0008585802,0.0012458895,0.0003824818,0.00083860446,0.0011660674,0.00087620044,0.0010811677],"category_scores_gemma":[0.004705194,0.0005114419,0.00043681217,0.00081516634,0.00057761866,0.0019579262,0.0007140988,0.0011040695,0.0004965317],"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":[0.00015422686,0.00008902571,0.0013901999,0.00021050501,0.00007793805,0.000055466528,0.00021708217,0.094355725,0.020695284,0.019250672,0.0014446187,0.86205924],"study_design_scores_gemma":[0.00005639808,0.00009598313,0.0007722644,0.000034479795,0.000036828234,0.00014607553,0.000018360115,0.9743155,0.013064354,0.0053844177,0.006030992,0.00004424482],"about_ca_topic_score_codex":0.0012448438,"about_ca_topic_score_gemma":0.0014886673,"teacher_disagreement_score":0.0015048339,"about_ca_system_score_codex":0.00048598734,"about_ca_system_score_gemma":0.00053821254,"threshold_uncertainty_score":0.007958412},"labels":[],"label_agreement":null},{"id":"W4244180429","doi":"10.32920/ryerson.14647602.v1","title":"A Novel Position Domain Controller For Contour Tracking Performance Improvement","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Position (finance); Computer science; Feed forward; Contouring; Frequency domain; Time domain; Numerical control; Domain (mathematical analysis); Tracking error; Motion control; Control engineering; Artificial intelligence; Machining; Engineering; Computer vision; Mathematics; Control (management); Robot","score_opus":0.011919820057247342,"score_gpt":0.2254429538959761,"score_spread":0.21352313383872876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244180429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019864898,0.0003341729,0.96914166,0.0001231294,0.00020941583,0.00010295306,0.000025301923,0.0010512816,0.009147208],"genre_scores_gemma":[0.8494594,0.0004298026,0.13679615,0.0002136891,0.00012384987,0.0002397851,0.000087858476,0.00005571341,0.012593749],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973243,0.000023136443,0.000018172597,0.000067926856,0.00014026627,0.000018136809],"domain_scores_gemma":[0.9997173,0.000049579434,0.000032172633,0.000028394445,0.00016094773,0.000011486647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028983405,0.0004378381,0.00034558846,0.0003111197,0.00036158835,0.0006610501,0.00086525356,0.0006044276,0.0021473528],"category_scores_gemma":[0.0006100254,0.00014102111,0.0002443926,0.00020572162,0.00032798617,0.0004637672,0.00042171395,0.0006536691,0.00047527134],"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":[0.00035970134,0.0002872979,0.00073107803,0.00048515334,0.000064378015,0.000447376,0.0003378479,0.24207526,0.22540414,0.025660537,0.005161853,0.49898532],"study_design_scores_gemma":[0.00006813516,0.00037031432,0.00046426075,0.000021086867,0.000021478912,0.00017903848,0.000013550999,0.9613962,0.028149717,0.0010522712,0.00824017,0.000023701548],"about_ca_topic_score_codex":0.0015202354,"about_ca_topic_score_gemma":0.0012715001,"teacher_disagreement_score":0.0021473528,"about_ca_system_score_codex":0.00035897404,"about_ca_system_score_gemma":0.00053650234,"threshold_uncertainty_score":0.0071836114},"labels":[],"label_agreement":null},{"id":"W4244841757","doi":"10.32920/ryerson.14657778","title":"Position Domain Synchronization Control For Robotic Manipulators","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Position (finance); Synchronization (alternating current); Computer science; Controller (irrigation); Domain (mathematical analysis); Nonlinear system; Lyapunov stability; Motion control; Tracking error; Lyapunov function; Contouring; Control engineering; Control (management); Artificial intelligence; Engineering; Robot; Mathematics","score_opus":0.007281715962366131,"score_gpt":0.2141562670901702,"score_spread":0.20687455112780406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244841757","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03384734,0.00047595828,0.9593516,0.00010472071,0.00009607449,0.000033176566,0.000012574186,0.0002722727,0.0058062524],"genre_scores_gemma":[0.90636915,0.0005858785,0.08501856,0.000071390736,0.000065788554,0.000091267655,0.000041890635,0.00003442315,0.0077216015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998852,0.000016432567,0.000005331415,0.000031379535,0.000053241572,0.000008374505],"domain_scores_gemma":[0.9998826,0.000031660507,0.000033031036,0.000013027444,0.000034946468,0.000004724554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022880534,0.00027878667,0.0002003429,0.0001925175,0.00017727174,0.00032001137,0.0003377451,0.0002627326,0.0010596879],"category_scores_gemma":[0.00047465085,0.00010803133,0.00018127561,0.0002184361,0.0004726586,0.00030676817,0.00037934622,0.00040889453,0.0001767074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001244747,0.0000632542,0.00048396818,0.00024454147,0.000035738143,0.00019755753,0.00029891834,0.5441259,0.12254783,0.08088364,0.0015964685,0.24939768],"study_design_scores_gemma":[0.00003365632,0.00027384545,0.00042853144,0.000018684908,0.00000987616,0.00007875152,0.000023247689,0.9664855,0.016159434,0.009027571,0.0074441684,0.00001676277],"about_ca_topic_score_codex":0.0007725117,"about_ca_topic_score_gemma":0.0005004711,"teacher_disagreement_score":0.0010596879,"about_ca_system_score_codex":0.00026139012,"about_ca_system_score_gemma":0.00029177425,"threshold_uncertainty_score":0.0035449862},"labels":[],"label_agreement":null},{"id":"W4245342443","doi":"10.32920/ryerson.14639676","title":"Cross-Coupled Contouring Control of Multi-DOF Robotic Manipulator","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contouring; Control theory (sociology); Jacobian matrix and determinant; Tracking (education); Computer science; Serial manipulator; Trajectory; Lyapunov function; Tracking error; Artificial intelligence; Computer vision; Nonlinear system; Mathematics; Control (management); Robot; Parallel manipulator","score_opus":0.01873051023531104,"score_gpt":0.2608457639629719,"score_spread":0.24211525372766085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245342443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078553796,0.0002193858,0.91772515,0.000046790447,0.000044054726,0.00003580336,0.000007377422,0.00023034887,0.003137349],"genre_scores_gemma":[0.95106184,0.00014506023,0.046730656,0.00003394004,0.000016601978,0.000044179487,0.000017073498,0.000016525333,0.001934182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962175,0.00003905114,0.000025365376,0.00010688137,0.00018092591,0.000025995369],"domain_scores_gemma":[0.99957186,0.00008011984,0.00012636035,0.000055857192,0.00014167393,0.000024136634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059253373,0.0004525022,0.00029315252,0.00028377242,0.0003016841,0.00043826192,0.00068458257,0.00038569502,0.00071790867],"category_scores_gemma":[0.00080148573,0.00022678613,0.00028169333,0.00029598307,0.0006027101,0.0005006689,0.0008333407,0.0004298042,0.00010149667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002624926,0.00011192231,0.0014004901,0.0002226393,0.00006040261,0.00029305866,0.00040517564,0.61120576,0.1547921,0.015909797,0.00074773264,0.21458851],"study_design_scores_gemma":[0.000021856757,0.00023377148,0.0006262633,0.0000075412568,0.000011871781,0.000081959915,0.000009704855,0.9831328,0.013321651,0.0014411786,0.0010992951,0.000012201822],"about_ca_topic_score_codex":0.0016483723,"about_ca_topic_score_gemma":0.0009862521,"teacher_disagreement_score":0.0016483723,"about_ca_system_score_codex":0.00028255675,"about_ca_system_score_gemma":0.00035514208,"threshold_uncertainty_score":0.0032775402},"labels":[],"label_agreement":null},{"id":"W4245610470","doi":"10.32920/14638164","title":"Comparative Study of DE, PSO and GA for Position Domain PID Controller Tuning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Particle swarm optimization; Control theory (sociology); Position (finance); Controller (irrigation); Differential evolution; Computer science; Nonlinear system; Tracking (education); Premature convergence; Convergence (economics); Genetic algorithm; Domain (mathematical analysis); Evolutionary algorithm; Mathematics; Artificial intelligence; Mathematical optimization; Control engineering; Engineering; Algorithm; Control (management)","score_opus":0.017761296488494834,"score_gpt":0.2723872553771101,"score_spread":0.2546259588886153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245610470","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31933412,0.008321723,0.6453907,0.00040265964,0.00017589168,0.00015881188,0.00009717617,0.0009997287,0.025119195],"genre_scores_gemma":[0.87001336,0.0021805225,0.12474065,0.000079690086,0.000034231813,0.000114489514,0.00010695181,0.000067278794,0.0026628498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995178,0.00010862229,0.000040906554,0.000075451644,0.0002117204,0.00004558806],"domain_scores_gemma":[0.99899346,0.0006055758,0.00008212542,0.00008156796,0.00021530215,0.000021871634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011313839,0.00060261483,0.00067889725,0.0009074589,0.0002658455,0.0008676515,0.0004674528,0.00074538344,0.0006522223],"category_scores_gemma":[0.0034136793,0.00018686555,0.00038452624,0.0006937925,0.00028965392,0.00059979275,0.0003268967,0.0005010501,0.000111200134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032981366,0.00016117744,0.0036552143,0.00042745235,0.00017433852,0.00016563627,0.00012359035,0.6786365,0.013134248,0.008008391,0.0008252748,0.29435837],"study_design_scores_gemma":[0.000024950768,0.00017029094,0.0017596652,0.000021330738,0.00003720271,0.000093497016,0.000038192462,0.9890665,0.0063228207,0.00083477586,0.0016155221,0.00001539179],"about_ca_topic_score_codex":0.0032421658,"about_ca_topic_score_gemma":0.0027357135,"teacher_disagreement_score":0.0032421658,"about_ca_system_score_codex":0.0003811028,"about_ca_system_score_gemma":0.00047419025,"threshold_uncertainty_score":0.0064466},"labels":[],"label_agreement":null},{"id":"W4249017517","doi":"10.32920/14638164.v1","title":"Comparative Study of DE, PSO and GA for Position Domain PID Controller Tuning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Particle swarm optimization; Control theory (sociology); Position (finance); Controller (irrigation); Premature convergence; Computer science; Nonlinear system; Differential evolution; Tracking (education); Convergence (economics); Genetic algorithm; Domain (mathematical analysis); Evolutionary algorithm; Mathematics; Artificial intelligence; Mathematical optimization; Control engineering; Engineering; Algorithm; Control (management)","score_opus":0.017761296488494834,"score_gpt":0.2723872553771101,"score_spread":0.2546259588886153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249017517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31933412,0.008321723,0.6453907,0.00040265964,0.00017589168,0.00015881188,0.00009717617,0.0009997287,0.025119195],"genre_scores_gemma":[0.87001336,0.0021805225,0.12474065,0.000079690086,0.000034231813,0.000114489514,0.00010695181,0.000067278794,0.0026628498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995178,0.00010862229,0.000040906554,0.000075451644,0.0002117204,0.00004558806],"domain_scores_gemma":[0.99899346,0.0006055758,0.00008212542,0.00008156796,0.00021530215,0.000021871634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011313839,0.00060261483,0.00067889725,0.0009074589,0.0002658455,0.0008676515,0.0004674528,0.00074538344,0.0006522223],"category_scores_gemma":[0.0034136793,0.00018686555,0.00038452624,0.0006937925,0.00028965392,0.00059979275,0.0003268967,0.0005010501,0.000111200134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032981366,0.00016117744,0.0036552143,0.00042745235,0.00017433852,0.00016563627,0.00012359035,0.6786365,0.013134248,0.008008391,0.0008252748,0.29435837],"study_design_scores_gemma":[0.000024950768,0.00017029094,0.0017596652,0.000021330738,0.00003720271,0.000093497016,0.000038192462,0.9890665,0.0063228207,0.00083477586,0.0016155221,0.00001539179],"about_ca_topic_score_codex":0.0032421658,"about_ca_topic_score_gemma":0.0027357135,"teacher_disagreement_score":0.0032421658,"about_ca_system_score_codex":0.0003811028,"about_ca_system_score_gemma":0.00047419025,"threshold_uncertainty_score":0.0064466},"labels":[],"label_agreement":null},{"id":"W4252696540","doi":"10.32920/ryerson.14656599.v1","title":"Mitigation of torsional vibration in large mill drive train system using state feedback control method","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Vibration; Torsional vibration; Robustness (evolution); Linear-quadratic-Gaussian control; Engineering; Torque; Servomotor; Frequency domain; Servomechanism; Input shaping; Control system; Vibration control; Control engineering; Computer science; Optimal control; Mathematics; Acoustics","score_opus":0.008463767915858778,"score_gpt":0.2469528752883265,"score_spread":0.2384891073724677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252696540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14479187,0.00025237972,0.85161084,0.00011574429,0.00004993496,0.000042729112,0.0000142756935,0.0007628287,0.0023593705],"genre_scores_gemma":[0.96867555,0.000075747914,0.029888367,0.000025287922,0.000015284282,0.000030607203,0.00001534419,0.000012822263,0.0012611415],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998592,0.000031343905,0.000008274885,0.000026110332,0.000061431034,0.0000136620665],"domain_scores_gemma":[0.9998149,0.00007347787,0.000030821888,0.000015855087,0.000056510708,0.000008449507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023824123,0.00028719066,0.00025961825,0.00014270347,0.00019426816,0.00022624727,0.00028883052,0.00023193816,0.0008710626],"category_scores_gemma":[0.00046830418,0.00008294711,0.00016498315,0.00010827916,0.00020954397,0.0002194452,0.00019108517,0.00022631847,0.000106610685],"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":[0.00049545965,0.00020771341,0.0016991558,0.00034639164,0.000060868602,0.00016380181,0.00035388445,0.21227719,0.35964632,0.0038831667,0.0012128018,0.41965333],"study_design_scores_gemma":[0.00005536652,0.0004819683,0.0014432507,0.0000131221495,0.00002125982,0.000060403298,0.000022164304,0.95335186,0.042764764,0.000501076,0.0012713466,0.0000134842885],"about_ca_topic_score_codex":0.0012387088,"about_ca_topic_score_gemma":0.0014251514,"teacher_disagreement_score":0.0012387088,"about_ca_system_score_codex":0.00014962367,"about_ca_system_score_gemma":0.00025215716,"threshold_uncertainty_score":0.0029140115},"labels":[],"label_agreement":null},{"id":"W4254057781","doi":"10.1007/978-3-662-53120-4_6521","title":"Adaptive Control","year":2019,"lang":"en","type":"book-chapter","venue":"","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 British Columbia","funders":"","keywords":"Computer science","score_opus":0.0074328180389726444,"score_gpt":0.1703712035499791,"score_spread":0.16293838551100645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254057781","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008035291,0.015221918,0.12832096,0.0009637394,0.0022855098,0.00005539974,0.00027349681,0.0011998015,0.8508757],"genre_scores_gemma":[0.010582585,0.0070648766,0.012754733,0.00041613603,0.000582605,0.000058248916,0.00032138376,0.00021027635,0.9680092],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997726,0.000016895841,0.000006101606,0.00004978013,0.00014169926,0.000012942687],"domain_scores_gemma":[0.9999012,0.000024396739,0.000004432388,0.000025194664,0.00003809494,0.0000066820744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014456542,0.0010729388,0.00052399293,0.0008243659,0.00047321155,0.0014511924,0.0006663441,0.00090469455,0.0637047],"category_scores_gemma":[0.00045184334,0.00030456219,0.0002558854,0.00091126043,0.00068615994,0.0010982862,0.00097465236,0.0015353184,0.038563043],"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":[0.000017917737,0.00003327714,0.00007456553,0.00023410413,0.000012002791,0.00003619213,0.00009891364,0.0031943193,0.002774779,0.120512955,0.23287873,0.6401322],"study_design_scores_gemma":[0.000003654641,0.000017615419,0.0002318209,0.000106577674,0.000005627478,0.000092604765,0.000024268837,0.0040241065,0.0012201595,0.039986886,0.9542754,0.000011297029],"about_ca_topic_score_codex":0.0011941594,"about_ca_topic_score_gemma":0.0021632616,"teacher_disagreement_score":0.0637047,"about_ca_system_score_codex":0.0005666278,"about_ca_system_score_gemma":0.000421984,"threshold_uncertainty_score":0.21311343},"labels":[],"label_agreement":null},{"id":"W4254434858","doi":"10.1007/978-3-642-35950-7_6540-8","title":"Servo System","year":2018,"lang":"en","type":"book-chapter","venue":"","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 Waterloo","funders":"","keywords":"Computer science","score_opus":0.006937142797047565,"score_gpt":0.16938285186857457,"score_spread":0.162445709071527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254434858","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006544546,0.0018206004,0.6195691,0.00060263963,0.0012818372,0.0005337681,0.0014501339,0.012871601,0.35532573],"genre_scores_gemma":[0.16955468,0.0020774463,0.10230952,0.0010227291,0.00046159443,0.0005718363,0.0032836185,0.00087680353,0.7198417],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969876,0.000013089576,0.000010621898,0.00008178459,0.00017444433,0.000021297765],"domain_scores_gemma":[0.99987125,0.000013906075,0.000008316758,0.00003150173,0.00006384818,0.00001110435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018246575,0.000736934,0.0004774236,0.0005360048,0.0005114509,0.00084344525,0.0008634511,0.00073805713,0.071473025],"category_scores_gemma":[0.0003683239,0.00023622769,0.00024404869,0.00031162964,0.00027469813,0.00077867345,0.0011097387,0.00076052855,0.041511063],"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":[0.00017993894,0.000067863606,0.00030036664,0.0005732666,0.000022791435,0.0001040939,0.00011838276,0.008373191,0.07662802,0.027534267,0.06738457,0.8187133],"study_design_scores_gemma":[0.000060540926,0.00030337163,0.0013310064,0.000130213,0.000038956492,0.00036261667,0.000054759093,0.04841761,0.05206571,0.011887516,0.8852953,0.0000524522],"about_ca_topic_score_codex":0.0011520315,"about_ca_topic_score_gemma":0.0013058815,"teacher_disagreement_score":0.071473025,"about_ca_system_score_codex":0.00034495658,"about_ca_system_score_gemma":0.00051292946,"threshold_uncertainty_score":0.23910111},"labels":[],"label_agreement":null},{"id":"W4254878114","doi":"10.2316/j.2021.201-2947","title":"PID CONTROLLER DESIGN FOR DECENTRALIZED TITO PROCESS USING MODIFIED DIFFERENTIAL EVOLUTION ALGORITHM","year":2021,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PID controller; Control theory (sociology); Differential evolution; Process (computing); Computer science; Differential (mechanical device); Algorithm; Controller (irrigation); Control engineering; Engineering; Control (management); Artificial intelligence; Temperature control; Operating system","score_opus":0.015285987113030418,"score_gpt":0.2336930871218564,"score_spread":0.218407100008826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254878114","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0118627995,0.00015387608,0.9832736,0.00006494084,0.00005995813,0.00004432933,0.000015407335,0.00017607892,0.0043490874],"genre_scores_gemma":[0.89539427,0.00022072817,0.09859105,0.00006568447,0.00003560718,0.00019955359,0.00006143346,0.00004433926,0.005387238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997838,0.000032076092,0.000011607922,0.000061917395,0.00008725275,0.000023395998],"domain_scores_gemma":[0.9998031,0.00005138482,0.000029162204,0.000016891363,0.00008950141,0.000009851208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003975785,0.00038955003,0.00081697584,0.00022901794,0.00051405694,0.0008252881,0.000757668,0.00063497096,0.002015164],"category_scores_gemma":[0.0006826245,0.00027074103,0.00040978714,0.0002855781,0.00039032285,0.00039597135,0.0006238204,0.0006163451,0.0003563652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019863408,0.000083741834,0.00079414126,0.00027007997,0.00006334496,0.00016625425,0.00015287705,0.84323907,0.030569186,0.013248955,0.0013485622,0.109865166],"study_design_scores_gemma":[0.000016259506,0.000048971142,0.00013445961,0.0000036820838,0.000006657442,0.000019787638,0.00000593722,0.9966961,0.0017751418,0.00056740077,0.00072035,0.0000052357623],"about_ca_topic_score_codex":0.002939373,"about_ca_topic_score_gemma":0.002305193,"teacher_disagreement_score":0.002939373,"about_ca_system_score_codex":0.00034861558,"about_ca_system_score_gemma":0.0007541012,"threshold_uncertainty_score":0.0067414045},"labels":[],"label_agreement":null},{"id":"W4254900495","doi":"10.32920/ryerson.14656599","title":"Mitigation of torsional vibration in large mill drive train system using state feedback control method","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Vibration; Torsional vibration; Robustness (evolution); Linear-quadratic-Gaussian control; Torque; Engineering; Servomotor; Servomechanism; Frequency domain; Input shaping; Control system; Vibration control; Control engineering; Computer science; Optimal control; Mathematics; Acoustics","score_opus":0.008463767915858778,"score_gpt":0.2469528752883265,"score_spread":0.2384891073724677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254900495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14479187,0.00025237972,0.85161084,0.00011574429,0.00004993496,0.000042729112,0.0000142756935,0.0007628287,0.0023593705],"genre_scores_gemma":[0.96867555,0.000075747914,0.029888367,0.000025287922,0.000015284282,0.000030607203,0.00001534419,0.000012822263,0.0012611415],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998592,0.000031343905,0.000008274885,0.000026110332,0.000061431034,0.0000136620665],"domain_scores_gemma":[0.9998149,0.00007347787,0.000030821888,0.000015855087,0.000056510708,0.000008449507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023824123,0.00028719066,0.00025961825,0.00014270347,0.00019426816,0.00022624727,0.00028883052,0.00023193816,0.0008710626],"category_scores_gemma":[0.00046830418,0.00008294711,0.00016498315,0.00010827916,0.00020954397,0.0002194452,0.00019108517,0.00022631847,0.000106610685],"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":[0.00049545965,0.00020771341,0.0016991558,0.00034639164,0.000060868602,0.00016380181,0.00035388445,0.21227719,0.35964632,0.0038831667,0.0012128018,0.41965333],"study_design_scores_gemma":[0.00005536652,0.0004819683,0.0014432507,0.0000131221495,0.00002125982,0.000060403298,0.000022164304,0.95335186,0.042764764,0.000501076,0.0012713466,0.0000134842885],"about_ca_topic_score_codex":0.0012387088,"about_ca_topic_score_gemma":0.0014251514,"teacher_disagreement_score":0.0012387088,"about_ca_system_score_codex":0.00014962367,"about_ca_system_score_gemma":0.00025215716,"threshold_uncertainty_score":0.0029140115},"labels":[],"label_agreement":null},{"id":"W4255990344","doi":"10.32920/ryerson.14639676.v1","title":"Cross-Coupled Contouring Control of Multi-DOF Robotic Manipulator","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contouring; Control theory (sociology); Tracking (education); Jacobian matrix and determinant; Computer science; Serial manipulator; Trajectory; Lyapunov function; Tracking error; Artificial intelligence; Nonlinear system; Computer vision; Mathematics; Control (management); Robot; Parallel manipulator","score_opus":0.01873051023531104,"score_gpt":0.2608457639629719,"score_spread":0.24211525372766085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255990344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078553796,0.0002193858,0.91772515,0.000046790447,0.000044054726,0.00003580336,0.000007377422,0.00023034887,0.003137349],"genre_scores_gemma":[0.95106184,0.00014506023,0.046730656,0.00003394004,0.000016601978,0.000044179487,0.000017073498,0.000016525333,0.001934182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962175,0.00003905114,0.000025365376,0.00010688137,0.00018092591,0.000025995369],"domain_scores_gemma":[0.99957186,0.00008011984,0.00012636035,0.000055857192,0.00014167393,0.000024136634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059253373,0.0004525022,0.00029315252,0.00028377242,0.0003016841,0.00043826192,0.00068458257,0.00038569502,0.00071790867],"category_scores_gemma":[0.00080148573,0.00022678613,0.00028169333,0.00029598307,0.0006027101,0.0005006689,0.0008333407,0.0004298042,0.00010149667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002624926,0.00011192231,0.0014004901,0.0002226393,0.00006040261,0.00029305866,0.00040517564,0.61120576,0.1547921,0.015909797,0.00074773264,0.21458851],"study_design_scores_gemma":[0.000021856757,0.00023377148,0.0006262633,0.0000075412568,0.000011871781,0.000081959915,0.000009704855,0.9831328,0.013321651,0.0014411786,0.0010992951,0.000012201822],"about_ca_topic_score_codex":0.0016483723,"about_ca_topic_score_gemma":0.0009862521,"teacher_disagreement_score":0.0016483723,"about_ca_system_score_codex":0.00028255675,"about_ca_system_score_gemma":0.00035514208,"threshold_uncertainty_score":0.0032775402},"labels":[],"label_agreement":null},{"id":"W4285099476","doi":"10.18280/jesa.550304","title":"An Optimal Quantitative PID Controller Design for Ball and Beam System","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); PID controller; Quantitative feedback theory; Nonlinear system; Computer science; Control engineering; Robustness (evolution); Ball (mathematics); Optimal design; Controller (irrigation); Stability (learning theory); Robust control; Engineering; Mathematics; Control (management); Artificial intelligence; Physics","score_opus":0.020725043470171286,"score_gpt":0.25193953453098494,"score_spread":0.23121449106081365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285099476","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033260514,0.00017725953,0.9946414,0.0000463749,0.00003757395,0.0000376079,0.000010803295,0.00016815936,0.00155482],"genre_scores_gemma":[0.7057857,0.0004657865,0.28962785,0.00016266937,0.00007447263,0.00035561138,0.00009770886,0.0000529846,0.0033771854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940884,0.0000815003,0.000029096878,0.00014586102,0.0002908255,0.00004396268],"domain_scores_gemma":[0.9997495,0.000048460854,0.000046680503,0.000017681155,0.000125013,0.000012646762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006474374,0.0007018927,0.00067033485,0.00044360798,0.00038500712,0.00082367053,0.00092165224,0.00076774985,0.0013614992],"category_scores_gemma":[0.00080996694,0.00035468783,0.00034690715,0.00028662497,0.0005158293,0.00068670884,0.0005650182,0.0006094739,0.00028255378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024956846,0.00011887406,0.00085733103,0.0007212776,0.00008036941,0.00017205934,0.00020842643,0.6233878,0.11001618,0.036407445,0.0028639282,0.22491673],"study_design_scores_gemma":[0.00003634122,0.00014659777,0.00022595105,0.00001188163,0.000011822549,0.00005305517,0.000014347776,0.9895371,0.0055100587,0.0019288255,0.002506774,0.00001718613],"about_ca_topic_score_codex":0.0017481428,"about_ca_topic_score_gemma":0.0014729293,"teacher_disagreement_score":0.0017481428,"about_ca_system_score_codex":0.0004344168,"about_ca_system_score_gemma":0.001113863,"threshold_uncertainty_score":0.0045546293},"labels":[],"label_agreement":null},{"id":"W4292566608","doi":"10.3390/math10163005","title":"Gain-Scheduled Sliding-Mode-Type Iterative Learning Control Design for Mechanical Systems","year":2022,"lang":"en","type":"article","venue":"Mathematics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"King Abdulaziz University","keywords":"Control theory (sociology); Iterative learning control; Feed forward; Robustness (evolution); Computer science; Tracking error; Robust control; Convergence (economics); Controller (irrigation); Control engineering; Control system; Engineering; Control (management); Artificial intelligence","score_opus":0.024055684848086744,"score_gpt":0.2481066198042327,"score_spread":0.22405093495614598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292566608","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005595239,0.00024681207,0.99153453,0.00004913237,0.000049504404,0.00003416809,0.0000067833357,0.00016176283,0.0023222184],"genre_scores_gemma":[0.88997614,0.0005303235,0.10500989,0.00012875412,0.00007624792,0.00027571074,0.00007341409,0.000037453898,0.0038920704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996288,0.00006404069,0.000026028767,0.00008111274,0.00016159988,0.00003850752],"domain_scores_gemma":[0.9997042,0.00007876028,0.0000541136,0.000020881998,0.0001284337,0.000013522956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006312582,0.0007338949,0.0005230927,0.00034224257,0.0003381533,0.000734895,0.001072788,0.00067486387,0.0015226222],"category_scores_gemma":[0.000897649,0.00024331611,0.00047428606,0.0003656303,0.00056300894,0.00056034775,0.00057167985,0.0007444772,0.0002864305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001464352,0.000092388465,0.0007411232,0.0004963093,0.000074321586,0.00018203641,0.00033335615,0.7774306,0.02635541,0.023719823,0.0016658856,0.1687624],"study_design_scores_gemma":[0.000014289746,0.00012682956,0.00012781748,0.00001035406,0.000007588264,0.00002264705,0.000009862769,0.99565256,0.0017299765,0.0012469767,0.0010442287,0.0000068220916],"about_ca_topic_score_codex":0.003164303,"about_ca_topic_score_gemma":0.0025407402,"teacher_disagreement_score":0.003164303,"about_ca_system_score_codex":0.00046304875,"about_ca_system_score_gemma":0.0009207662,"threshold_uncertainty_score":0.006291747},"labels":[],"label_agreement":null},{"id":"W4296451120","doi":"10.1139/tcsme-2022-0044","title":"Investigation on contact behavior of planetary roller screw mechanism considering thermal deformation","year":2022,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Thermal; Thermal contact conductance; Thread (computing); Materials science; Heat transfer; Mechanics; Mechanism (biology); Roller bearing; Bearing (navigation); Slip (aerodynamics); Torque; Thermal contact; Thermal resistance; Mechanical engineering; Composite material; Engineering; Thermodynamics; Lubrication; Computer science; Physics","score_opus":0.015599073066204944,"score_gpt":0.18160008873089778,"score_spread":0.16600101566469283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296451120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513371,0.00029324097,0.045463454,0.000048247104,0.000015496624,0.000020483458,0.000027030663,0.00013473057,0.002660152],"genre_scores_gemma":[0.9990785,0.000035340618,0.0006817318,0.0000015887188,0.0000012333559,0.000002908267,0.0000060930915,0.0000049230835,0.00018774516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977094,0.00003317287,0.000009919729,0.00004922567,0.00009051353,0.000046262954],"domain_scores_gemma":[0.9996779,0.00013598506,0.000046396584,0.000056438552,0.0000680601,0.000015320586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002682907,0.0003292594,0.0004371777,0.0005141593,0.00031426983,0.00035580102,0.00042414363,0.0004680746,0.0014550837],"category_scores_gemma":[0.00094080315,0.00020110002,0.0004833715,0.0003130059,0.0005645477,0.0009847352,0.0003050774,0.00019852689,0.00013423954],"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":[0.0007190967,0.00016235854,0.019674517,0.00039891986,0.00006994837,0.0014895283,0.0008142474,0.44891405,0.46596295,0.0083840415,0.0005836493,0.05282669],"study_design_scores_gemma":[0.000009927213,0.0001867153,0.006111361,0.0000067272367,0.000014646054,0.00018024414,0.00014218266,0.96319824,0.02905347,0.0006973774,0.00038045208,0.000018751178],"about_ca_topic_score_codex":0.0011842641,"about_ca_topic_score_gemma":0.0007127193,"teacher_disagreement_score":0.0014550837,"about_ca_system_score_codex":0.00025594566,"about_ca_system_score_gemma":0.00022456922,"threshold_uncertainty_score":0.004867792},"labels":[],"label_agreement":null},{"id":"W4297098385","doi":"10.2316/j.2022.201-0274","title":"SENSORLESS CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR BASED ON OPTIMIZATION OF NON-SINGULAR FAST TERMINAL SLIDING MODE OBSERVER, 138-144.","year":2022,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Terminal sliding mode; Observer (physics); Permanent magnet synchronous motor; Vector control; Terminal (telecommunication); Magnet; Position (finance); Computer science; Synchronous motor; Control engineering; Control (management); Sliding mode control; Engineering; Physics; Voltage; Induction motor; Electrical engineering; Artificial intelligence","score_opus":0.004278875687124352,"score_gpt":0.1893875245394509,"score_spread":0.18510864885232656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297098385","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027380109,0.00027933565,0.9689002,0.000048317354,0.00009870454,0.000038116174,0.000023299726,0.00034866482,0.002883237],"genre_scores_gemma":[0.9342968,0.00031519117,0.060773034,0.000020272306,0.000026188542,0.00005985773,0.000073399264,0.0000233762,0.004411937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999169,0.00001334656,0.0000051554885,0.000016731909,0.000040374634,0.000007419338],"domain_scores_gemma":[0.9999119,0.00002028923,0.000019661245,0.000009329872,0.00003302879,0.000005762842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022147383,0.00029512675,0.00037130987,0.00011809947,0.00012581698,0.00037254303,0.0003200742,0.00022212601,0.00083087874],"category_scores_gemma":[0.0003867884,0.00015661128,0.00022293355,0.000111102934,0.00021925029,0.00037668456,0.000204085,0.00032673407,0.00018576591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004027911,0.00012365538,0.0016373576,0.0005916971,0.00009021017,0.00019666851,0.00016908319,0.38122794,0.26897576,0.025396269,0.0031152845,0.31807324],"study_design_scores_gemma":[0.000021566697,0.00019239447,0.0008149055,0.000006182735,0.000010491231,0.00003192672,0.000007797715,0.98463804,0.011313966,0.0010545418,0.0019020115,0.0000062913623],"about_ca_topic_score_codex":0.0010372121,"about_ca_topic_score_gemma":0.001982349,"teacher_disagreement_score":0.0010372121,"about_ca_system_score_codex":0.00018942874,"about_ca_system_score_gemma":0.00036046028,"threshold_uncertainty_score":0.002779603},"labels":[],"label_agreement":null},{"id":"W4298411237","doi":"","title":"Characterizing and configuring motorized wedge for a new generation telecobalt machine in a treatment planning system","year":2007,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wedge (geometry); Radiation treatment planning; Computer science; Optics; Medicine; Physics; Surgery","score_opus":0.1734005440964221,"score_gpt":0.48311946410588424,"score_spread":0.3097189200094621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298411237","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7873698,0.0006478026,0.20425494,0.00007614059,0.00004709537,0.0005181336,0.00030612768,0.0017450284,0.00503483],"genre_scores_gemma":[0.8907382,0.0001237323,0.10620934,0.000032999702,0.000007781623,0.00014099228,0.0002514236,0.00017667808,0.0023188805],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999395,0.00010302422,0.000032657066,0.00009328194,0.00031396066,0.000062118015],"domain_scores_gemma":[0.9992624,0.00020565471,0.00010448256,0.000175751,0.00019353641,0.0000581877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007979715,0.00036997633,0.00028409046,0.00030008776,0.00014385176,0.00042699924,0.0005901024,0.00027839222,0.0024195784],"category_scores_gemma":[0.001473578,0.00021784104,0.00013902492,0.00025146955,0.00022010358,0.000532666,0.0003310333,0.0001605994,0.00040997684],"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":[0.001107648,0.00019439134,0.010616079,0.00038974397,0.00003399778,0.00044498994,0.00034896482,0.017042892,0.8180776,0.00083775795,0.0012365471,0.14966933],"study_design_scores_gemma":[0.00015428175,0.0038849732,0.024681514,0.000030511175,0.00010966004,0.0025157575,0.00011695605,0.057242118,0.89091384,0.00023595126,0.02002488,0.00008947367],"about_ca_topic_score_codex":0.00039268174,"about_ca_topic_score_gemma":0.0005589888,"teacher_disagreement_score":0.0024195784,"about_ca_system_score_codex":0.00029145507,"about_ca_system_score_gemma":0.00036754156,"threshold_uncertainty_score":0.008094311},"labels":[],"label_agreement":null},{"id":"W4299895529","doi":"","title":"Improved RBF Neural Network Based Soft Sensor: Application to the Optimal Robust Calibration of a Six Degrees of Freedom Parallel Kinematics Manipulator","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Kinematics; Parallel manipulator; Artificial neural network; Manipulator (device); Degrees of freedom (physics and chemistry); Control theory (sociology); Calibration; Computer science; Control engineering; Artificial intelligence; Engineering; Robot; Mathematics; Physics; Classical mechanics","score_opus":0.08784269174902791,"score_gpt":0.4103830092157869,"score_spread":0.322540317466759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299895529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08872189,0.00018352967,0.908823,0.00014302142,0.000039939747,0.000035113608,0.000013346255,0.0004084221,0.0016317778],"genre_scores_gemma":[0.87935656,0.00009113902,0.11940326,0.000046295005,0.000011548118,0.00003357665,0.000014844885,0.000013348929,0.0010294345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963224,0.00009606805,0.000021509975,0.00007966448,0.00014835599,0.000022066948],"domain_scores_gemma":[0.99949396,0.00016894219,0.00008824767,0.00006260962,0.00017133431,0.000014881531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007287855,0.000374378,0.00040309518,0.00023911096,0.00018688821,0.00034326222,0.00063623855,0.0007565522,0.0005713108],"category_scores_gemma":[0.0016150592,0.00017956186,0.00023231994,0.00027325755,0.00033696566,0.000553844,0.00043482406,0.0004320821,0.00012552363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004049235,0.00015802534,0.0017963756,0.00019674104,0.00006697215,0.0002979421,0.00021713955,0.5042122,0.14485331,0.0048778118,0.00071507605,0.3422034],"study_design_scores_gemma":[0.000009138036,0.00008444523,0.00031680602,0.0000043884265,0.0000067615124,0.00004766912,0.0000050215867,0.98406893,0.01488583,0.0003340976,0.00022734553,0.000009582536],"about_ca_topic_score_codex":0.0010658101,"about_ca_topic_score_gemma":0.0009465917,"teacher_disagreement_score":0.0010658101,"about_ca_system_score_codex":0.00033194537,"about_ca_system_score_gemma":0.00029214335,"threshold_uncertainty_score":0.0038542151},"labels":[],"label_agreement":null},{"id":"W4302028187","doi":"10.1007/s00170-022-10192-5","title":"Kinematic modeling of a planetary roller screw mechanism considering runout errors and elastic deformation","year":2022,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Kinematics; Ball screw; Mechanism (biology); Machining; Machine tool; Thread (computing); Nonlinear system; Mechanical engineering; Deformation (meteorology); Engineering; Screw theory; Fictitious force; Structural engineering; Computer science; Mechanics; Classical mechanics; Geology; Physics; Nut","score_opus":0.006621060918374606,"score_gpt":0.20382854285370786,"score_spread":0.19720748193533325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302028187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18880206,0.00033596728,0.79648817,0.00020863299,0.00008596457,0.00006701277,0.00019512887,0.00075539714,0.013061729],"genre_scores_gemma":[0.98650336,0.00014682322,0.009510761,0.000009991664,0.00000891991,0.000029007426,0.00006544328,0.000026881009,0.0036987467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983394,0.000035051173,0.000011929178,0.000039192084,0.000057627694,0.000022314456],"domain_scores_gemma":[0.99979836,0.000047082227,0.00006472788,0.000027816024,0.00005074153,0.000011314766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003631659,0.0005907462,0.0008008051,0.00065090926,0.00050629437,0.0009173231,0.0010764294,0.0013163289,0.003013223],"category_scores_gemma":[0.0005699057,0.00048422837,0.00067423226,0.00053574407,0.00064168667,0.00069377205,0.00067678775,0.00036398545,0.00047551558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003692375,0.00001237573,0.00045559515,0.00003401442,0.000017770779,0.0002117785,0.000045331093,0.98758173,0.0028981382,0.0032369634,0.000084925145,0.0053844634],"study_design_scores_gemma":[0.000005298292,0.00002901064,0.00025611094,0.0000031550167,0.000006306018,0.00002369546,0.000009931418,0.9986092,0.00036550805,0.00039827012,0.00028920243,0.0000043515197],"about_ca_topic_score_codex":0.009426395,"about_ca_topic_score_gemma":0.004712517,"teacher_disagreement_score":0.009426395,"about_ca_system_score_codex":0.000281667,"about_ca_system_score_gemma":0.00074911834,"threshold_uncertainty_score":0.018743038},"labels":[],"label_agreement":null},{"id":"W4307728047","doi":"10.1002/rnc.6445","title":"Predictive compensation based quantization iterative learning control for nonlinear nonaffine discrete‐time systems","year":2022,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Model predictive control; Linearization; Computer science; Nonlinear system; Quantization (signal processing); Compensation (psychology); Iterative method; Algorithm; Artificial intelligence; Control (management)","score_opus":0.007479863855006321,"score_gpt":0.22483473769628332,"score_spread":0.217354873841277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307728047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014671011,0.00018385868,0.98323363,0.00007958292,0.0000336018,0.000022220598,0.00001117519,0.0001265788,0.0016384153],"genre_scores_gemma":[0.96798956,0.00016760292,0.029793631,0.000058350757,0.000022814014,0.000059968355,0.000027057351,0.00001559655,0.0018654685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995926,0.00008172671,0.00002247195,0.00009073297,0.00016884,0.000043632073],"domain_scores_gemma":[0.9995017,0.00021430786,0.0000871853,0.00003868647,0.00014334836,0.000014680355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070442446,0.00049853587,0.0005274812,0.0002095032,0.0002836634,0.00075421267,0.0007525402,0.0003934572,0.0010000146],"category_scores_gemma":[0.0013223259,0.00021110014,0.0002642618,0.00034091505,0.0008863739,0.00059940876,0.0005953489,0.000841349,0.000110057765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008596134,0.000048246988,0.00045285857,0.00020616669,0.000036534857,0.00008617722,0.000198757,0.90314,0.010779434,0.025228918,0.0007470506,0.058989856],"study_design_scores_gemma":[0.0000052831097,0.000030668594,0.00006323878,0.0000037435823,0.000003905639,0.0000071356108,0.0000047236877,0.9975746,0.00094048335,0.0011102579,0.00025184237,0.0000041037683],"about_ca_topic_score_codex":0.00522123,"about_ca_topic_score_gemma":0.0031828647,"teacher_disagreement_score":0.00522123,"about_ca_system_score_codex":0.00068225805,"about_ca_system_score_gemma":0.00082133693,"threshold_uncertainty_score":0.010381639},"labels":[],"label_agreement":null},{"id":"W4310969507","doi":"10.1109/iecon49645.2022.9968368","title":"Adaptive Sliding Mode Control with RBF Neural Network-Based Tuning Method for Parallel Robot","year":2022,"lang":"en","type":"article","venue":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Revolute joint; Computer science; Lyapunov function; Sliding mode control; Artificial neural network; Parallel manipulator; Adaptive control; Trajectory; Radial basis function; Lyapunov stability; Control engineering; Robot; Nonlinear system; Artificial intelligence; Engineering; Control (management)","score_opus":0.03164357505397101,"score_gpt":0.24998190189966252,"score_spread":0.21833832684569152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310969507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011279546,0.00035878966,0.98635614,0.000052330844,0.000067193105,0.000024047898,0.0000064799756,0.00031646818,0.0015390001],"genre_scores_gemma":[0.8639508,0.00051332446,0.13109025,0.000088293345,0.00008109225,0.00015615803,0.000048753984,0.000045649427,0.0040257135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997048,0.000045996734,0.000020883166,0.0000910764,0.00011285823,0.000024409865],"domain_scores_gemma":[0.9997948,0.00004483904,0.000037468526,0.000022501159,0.000091072536,0.000009422573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046707928,0.0005519589,0.0005397283,0.0002783354,0.0003340352,0.00032337327,0.0007956166,0.00052321405,0.00096864474],"category_scores_gemma":[0.0006575565,0.00021540406,0.000441075,0.00027295863,0.00038209299,0.000511283,0.00042166753,0.0005706563,0.00019876026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020187254,0.00007758617,0.0007003343,0.0002746108,0.00008876891,0.00016052696,0.00019476033,0.6677602,0.045986988,0.008914093,0.001414646,0.27422565],"study_design_scores_gemma":[0.000012386292,0.00007391741,0.00014303022,0.0000051989064,0.000008914062,0.00003306314,0.000005104797,0.996349,0.0018564758,0.00057659845,0.0009278166,0.000008634755],"about_ca_topic_score_codex":0.0040051825,"about_ca_topic_score_gemma":0.0020197788,"teacher_disagreement_score":0.0040051825,"about_ca_system_score_codex":0.00030557142,"about_ca_system_score_gemma":0.00043204727,"threshold_uncertainty_score":0.007963777},"labels":[],"label_agreement":null},{"id":"W4313598902","doi":"10.1109/tcsii.2023.3234609","title":"Fault Estimation for Switched Interconnected Nonlinear Systems With External Disturbances via Variable Weighted Iterative Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Engineering and Physical Sciences Research Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Iterative learning control; Nonlinear system; Convergence (economics); Observer (physics); Control theory (sociology); Norm (philosophy); Variable (mathematics); Fault (geology); Computer science; Mathematics; Algorithm; Artificial intelligence; Law; Control (management); Economics","score_opus":0.010078113647865757,"score_gpt":0.2215614418648852,"score_spread":0.21148332821701943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313598902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0206377,0.00019150345,0.9780612,0.00007029005,0.00002203921,0.0000210587,0.000009732129,0.00017841438,0.00080813834],"genre_scores_gemma":[0.94525766,0.0003949285,0.052474197,0.000055890363,0.000039608698,0.00008588284,0.000070093796,0.000023152095,0.0015984755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996364,0.00007328394,0.00003278251,0.00008640164,0.00012864002,0.000042364816],"domain_scores_gemma":[0.99930465,0.0003218168,0.00016214991,0.000043813703,0.0001496881,0.00001782587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059672137,0.00079884107,0.00050209375,0.00033607442,0.00026597353,0.00066636153,0.00061255874,0.00057268573,0.0006101327],"category_scores_gemma":[0.0023210426,0.00021949041,0.0004170475,0.00038587613,0.0006165316,0.0007187791,0.0006385125,0.0007013007,0.000112416084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001527896,0.000032477652,0.0015746725,0.00020019028,0.00006809053,0.00014985124,0.00028944755,0.8668989,0.0083260825,0.005735247,0.00042768943,0.116144575],"study_design_scores_gemma":[0.0000059227064,0.000036799604,0.00019713823,0.00000628471,0.000008530511,0.00001549186,0.0000106978105,0.9969733,0.001467403,0.0010591728,0.00021448352,0.00000472302],"about_ca_topic_score_codex":0.005571082,"about_ca_topic_score_gemma":0.003200219,"teacher_disagreement_score":0.005571082,"about_ca_system_score_codex":0.0005634728,"about_ca_system_score_gemma":0.00058301474,"threshold_uncertainty_score":0.011077285},"labels":[],"label_agreement":null},{"id":"W4315630861","doi":"10.1109/tcyb.2022.3232136","title":"Data-Driven Indirect Iterative Learning Control","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Youth Innovation Team Project for Talent Introduction and Cultivation in Universities of Shandong Province; National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); PID controller; Nonlinear system; Iterative method; Parametric statistics; Linearization; Computer science; Controller (irrigation); Linear system; Convergence (economics); Mathematics; Algorithm; Control engineering; Artificial intelligence; Control (management); Engineering","score_opus":0.02442704493547824,"score_gpt":0.2502845084227912,"score_spread":0.22585746348731298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315630861","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007308674,0.00011895255,0.98911464,0.00004770922,0.00003227715,0.000029062112,0.000010542829,0.00025316258,0.003085065],"genre_scores_gemma":[0.85454434,0.0002151824,0.13926755,0.00011371185,0.00004451271,0.00021267116,0.0000866429,0.00006699134,0.0054484312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961567,0.00005793701,0.000023931403,0.000075792675,0.0001939223,0.00003276311],"domain_scores_gemma":[0.9995189,0.0001489064,0.000060250786,0.00006433787,0.00018709831,0.000020496716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000564907,0.0004327171,0.0005035868,0.00025921263,0.00033506218,0.00067794137,0.0012395427,0.00048522078,0.0013275412],"category_scores_gemma":[0.0010894752,0.00017927926,0.00032450733,0.00027510515,0.0006594914,0.0005977215,0.00093937846,0.0007512698,0.00036194583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016375323,0.00012089026,0.00087999174,0.00043948274,0.00006334236,0.0001526361,0.00033160896,0.6844615,0.028726988,0.035336435,0.0019225195,0.24740082],"study_design_scores_gemma":[0.000009674186,0.000079235055,0.00007758737,0.000009124192,0.000005309937,0.000031095962,0.00000648815,0.9915187,0.004422809,0.002042591,0.0017891555,0.0000080949885],"about_ca_topic_score_codex":0.0011607226,"about_ca_topic_score_gemma":0.0010095721,"teacher_disagreement_score":0.0013275412,"about_ca_system_score_codex":0.000446546,"about_ca_system_score_gemma":0.00060808694,"threshold_uncertainty_score":0.0044410825},"labels":[],"label_agreement":null},{"id":"W4317717944","doi":"10.36227/techrxiv.21901419","title":"A Unified Framework for Multi-Agent Formation with a Non-repetitive Leader Trajectory: Adaptive Control and Iterative Learning Control","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Government of Jiangsu Province; Suzhou Municipal Science and Technology Bureau; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Laplacian matrix; Computer science; Controller (irrigation); Graph; Trajectory; Multi-agent system; Observer (physics); Eigenvalues and eigenvectors; Repetitive control; Process (computing); Control (management); Control system; Artificial intelligence; Engineering; Theoretical computer science","score_opus":0.03778886269972746,"score_gpt":0.26312740670776447,"score_spread":0.225338544008037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317717944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008809856,0.00016926741,0.9975909,0.0000438423,0.000022594657,0.000014287203,0.0000045359216,0.000050571252,0.0012230654],"genre_scores_gemma":[0.56577873,0.0012121402,0.42608532,0.00015974927,0.0002363482,0.00043635693,0.000096114694,0.00008362918,0.0059116706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947876,0.00011954209,0.000026462994,0.00011566279,0.00020907905,0.0000504856],"domain_scores_gemma":[0.9997261,0.00006336429,0.000054359647,0.000033475575,0.00009893649,0.000023716557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007439793,0.0008363975,0.000673212,0.0004595641,0.00042271477,0.0010017391,0.0017499194,0.0010835382,0.0012185281],"category_scores_gemma":[0.00093734986,0.00025581953,0.0007489985,0.00050524995,0.00106417,0.0009525506,0.001423719,0.0013397468,0.0003218398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025236594,0.000039012943,0.00021748822,0.00009310602,0.00003076099,0.00010845623,0.00015349562,0.84261304,0.004627636,0.10677031,0.0009856466,0.04433571],"study_design_scores_gemma":[0.0000051960806,0.000032136115,0.00003844429,0.0000063369203,0.0000038815656,0.000013592137,0.000009313879,0.9910155,0.00036953535,0.007091693,0.0014089553,0.000005456685],"about_ca_topic_score_codex":0.005012115,"about_ca_topic_score_gemma":0.0030178549,"teacher_disagreement_score":0.005012115,"about_ca_system_score_codex":0.0008201829,"about_ca_system_score_gemma":0.0014122247,"threshold_uncertainty_score":0.009965897},"labels":[],"label_agreement":null},{"id":"W4317718153","doi":"10.36227/techrxiv.21901419.v1","title":"A Unified Framework for Multi-Agent Formation with a Non-repetitive Leader Trajectory: Adaptive Control and Iterative Learning Control","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Government of Jiangsu Province; Suzhou Municipal Science and Technology Bureau; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Laplacian matrix; Computer science; Controller (irrigation); Graph; Trajectory; Multi-agent system; Repetitive control; Observer (physics); Eigenvalues and eigenvectors; Process (computing); Control (management); Control system; Artificial intelligence; Engineering; Theoretical computer science","score_opus":0.03778886269972746,"score_gpt":0.26312740670776447,"score_spread":0.225338544008037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317718153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009573757,0.0001345238,0.9977151,0.000038001617,0.000018774936,0.000014278385,0.000004018127,0.000046211477,0.0010717115],"genre_scores_gemma":[0.58521247,0.0010169912,0.40808257,0.0001467201,0.00019938998,0.00041461003,0.00008259738,0.00007401575,0.004770649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994584,0.000119129036,0.000028526636,0.00012137188,0.00021992621,0.000052705378],"domain_scores_gemma":[0.99968946,0.000075462376,0.00006306411,0.000039759278,0.00010634687,0.000026008413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073034293,0.0008603098,0.0006592702,0.0004711113,0.00042374618,0.0009486507,0.0017469873,0.0010705859,0.0010870819],"category_scores_gemma":[0.0010169811,0.00025604694,0.0007294008,0.0005044213,0.0010900851,0.00091126905,0.0013981602,0.0013682311,0.00028569467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024395396,0.000039385486,0.00023213352,0.00009861431,0.000030901847,0.00011009019,0.00016686117,0.8474181,0.005447449,0.10451562,0.0008121933,0.041104272],"study_design_scores_gemma":[0.0000056917647,0.000035895715,0.00004220342,0.0000068844356,0.0000041851576,0.000015671121,0.000009408256,0.99063736,0.0004645313,0.0074561024,0.0013163633,0.0000057731218],"about_ca_topic_score_codex":0.0040914435,"about_ca_topic_score_gemma":0.002597825,"teacher_disagreement_score":0.0040914435,"about_ca_system_score_codex":0.0007460383,"about_ca_system_score_gemma":0.001339711,"threshold_uncertainty_score":0.008135259},"labels":[],"label_agreement":null},{"id":"W4323799298","doi":"10.5281/zenodo.7713972","title":"Real-Time Digital Time-Varying Harmonic Modeling and Simulation Techniques","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Harmonic; Acoustics; Physics","score_opus":0.016986290791294937,"score_gpt":0.23306792349980057,"score_spread":0.21608163270850564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323799298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005941981,0.00011621208,0.98776,0.000057691886,0.00002981418,0.000035886096,0.000063393025,0.0009970751,0.004998015],"genre_scores_gemma":[0.51571655,0.001332936,0.4653078,0.00009611064,0.00004755345,0.00035353456,0.0004550212,0.00036855767,0.016321935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997931,0.000046771307,0.000013269523,0.000025413894,0.000107111955,0.000014311097],"domain_scores_gemma":[0.99978226,0.00008802647,0.000024109915,0.000046594323,0.00005086683,0.000008205576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033484187,0.00047462303,0.00035283633,0.00040593327,0.0001993701,0.00060691795,0.0008953298,0.0005678296,0.004055582],"category_scores_gemma":[0.00066731253,0.00023266287,0.0005308788,0.00040533993,0.00031217444,0.0007239235,0.0003476718,0.0006123165,0.0008491761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066231885,0.00004035706,0.00046768718,0.00013806832,0.00002823375,0.000077477685,0.00012715995,0.8933376,0.012927414,0.023024121,0.0013530053,0.06841258],"study_design_scores_gemma":[0.000009932946,0.00002477868,0.00007197517,0.000008127331,0.0000072570356,0.00004125554,0.0000099394565,0.9860891,0.004344744,0.0024835528,0.0069027725,0.000006609547],"about_ca_topic_score_codex":0.002492486,"about_ca_topic_score_gemma":0.0016544162,"teacher_disagreement_score":0.004055582,"about_ca_system_score_codex":0.0003679263,"about_ca_system_score_gemma":0.00045080154,"threshold_uncertainty_score":0.013567269},"labels":[],"label_agreement":null},{"id":"W4363620155","doi":"10.1109/ciss56502.2023.10089708","title":"Slime Mold Algorithm-Based Performance Improvement of PD-Type Indirect Iterative Learning Fuzzy Control of Tower Crane Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Control theory (sociology); Fuzzy control system; Overshoot (microwave communication); Iterative learning control; Tower; Context (archaeology); Fuzzy logic; Computer science; Mathematics; Mathematical optimization; Algorithm; Engineering; Control (management); Artificial intelligence","score_opus":0.007343797570126094,"score_gpt":0.20332923386013083,"score_spread":0.19598543629000473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363620155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11541381,0.00023689734,0.8767829,0.000065160246,0.00003532927,0.000055336393,0.000013419048,0.00036852094,0.007028659],"genre_scores_gemma":[0.9284789,0.00006419276,0.070120774,0.000021410924,0.0000071535023,0.000047385256,0.000024868275,0.00001768268,0.0012175936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979013,0.000048171514,0.000016983457,0.00003996546,0.000075597694,0.000029213992],"domain_scores_gemma":[0.999713,0.000107294145,0.00004089067,0.000033903343,0.000092559596,0.000012313545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051620783,0.00047459497,0.00043006832,0.0002457059,0.00029007648,0.00050510495,0.00061694067,0.0004840315,0.0009051511],"category_scores_gemma":[0.0010810745,0.00017256876,0.0003773979,0.00016870614,0.00041287922,0.0003150267,0.0004934119,0.0004306987,0.00016265093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017354592,0.00007960985,0.0010768301,0.00014352394,0.000054167616,0.000066569824,0.00015102152,0.84871644,0.018118743,0.00399043,0.0003647616,0.1270644],"study_design_scores_gemma":[0.000009376693,0.00013710331,0.00020717368,0.0000054452903,0.000006712606,0.000016447571,0.000006503866,0.9956119,0.0033917883,0.00031473895,0.0002889546,0.0000037975592],"about_ca_topic_score_codex":0.0028504352,"about_ca_topic_score_gemma":0.0025742694,"teacher_disagreement_score":0.0028504352,"about_ca_system_score_codex":0.0003268322,"about_ca_system_score_gemma":0.000618177,"threshold_uncertainty_score":0.005667627},"labels":[],"label_agreement":null},{"id":"W4367679981","doi":"10.1002/cjce.24937","title":"A novel two‐dimensional <scp>PID</scp> controller design using two‐dimensional model predictive iterative learning control optimization for batch processes","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"PID controller; Control theory (sociology); Model predictive control; Computer science; Dimension (graph theory); Iterative learning control; Controller (irrigation); Process (computing); Process control; Control engineering; Control (management); Engineering; Mathematics; Temperature control; Artificial intelligence","score_opus":0.017012428309449094,"score_gpt":0.2176403139574059,"score_spread":0.2006278856479568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367679981","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010078915,0.0002310277,0.9856704,0.00010529333,0.00005962824,0.00007580942,0.000023003628,0.00032348916,0.0034323095],"genre_scores_gemma":[0.81242996,0.00025903486,0.1822524,0.00016263222,0.00005776543,0.0004698426,0.00010128639,0.00004856318,0.0042185364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994487,0.000089250745,0.00003493973,0.0001303104,0.0002501734,0.000046578287],"domain_scores_gemma":[0.9996486,0.00009612287,0.000059009973,0.000027866921,0.00015136287,0.000017053953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008793347,0.0008006369,0.0008573344,0.00044542513,0.00052555854,0.001395731,0.001318332,0.0009982388,0.0014704284],"category_scores_gemma":[0.000917939,0.00048230507,0.00053632545,0.00052641134,0.000601819,0.00058689795,0.0008362206,0.0009001276,0.00036214324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121239354,0.00011372939,0.0004847748,0.00023949299,0.000058118654,0.00012103072,0.000092302675,0.89442277,0.018589042,0.0054813153,0.0017196652,0.07855647],"study_design_scores_gemma":[0.000010852614,0.000042228694,0.000063101805,0.0000029946125,0.0000035343794,0.000008903021,0.0000025445675,0.998085,0.0011578549,0.00022169513,0.00039615048,0.000005150045],"about_ca_topic_score_codex":0.005448497,"about_ca_topic_score_gemma":0.0033737526,"teacher_disagreement_score":0.005448497,"about_ca_system_score_codex":0.00065525464,"about_ca_system_score_gemma":0.0014638683,"threshold_uncertainty_score":0.010833561},"labels":[],"label_agreement":null},{"id":"W4372318108","doi":"10.1002/cjce.24950","title":"High‐order iterative learning model predictive control for batch chemical processes","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Model predictive control; Iterative learning control; Computer science; Convergence (economics); Stability (learning theory); Controller (irrigation); Domain (mathematical analysis); Chemical process; Process (computing); Batch processing; Process control; Control theory (sociology); Control engineering; Control (management); Machine learning; Artificial intelligence; Engineering; Mathematics","score_opus":0.006109095258839892,"score_gpt":0.1886465842709074,"score_spread":0.1825374890120675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372318108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025624176,0.0002955602,0.9699513,0.000121017234,0.000046856647,0.00003636796,0.000022192418,0.00026765506,0.0036348894],"genre_scores_gemma":[0.9521213,0.00015699635,0.04485915,0.00005214895,0.000028652768,0.00012297637,0.000054757118,0.000019656169,0.0025844744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960464,0.00007658008,0.000017577626,0.00008168063,0.00017672822,0.0000427509],"domain_scores_gemma":[0.99954885,0.0002041523,0.00006958497,0.000040692383,0.00012007562,0.000016588343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062063406,0.0006724432,0.00074084295,0.00027114764,0.0004084066,0.0007383874,0.0009965773,0.00063719973,0.00095601514],"category_scores_gemma":[0.00095578155,0.00028168203,0.000503491,0.00044653242,0.000673222,0.00044286094,0.00066563126,0.0010945357,0.00016781285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004038076,0.00003668437,0.00024399323,0.00005995562,0.000020442905,0.000032808068,0.00005576861,0.96555203,0.0049023335,0.0034056779,0.00032217306,0.025327688],"study_design_scores_gemma":[0.0000027875428,0.000016716742,0.000043256012,0.0000010908578,0.0000013159436,0.000002619009,0.0000012817885,0.99910396,0.00040444452,0.00028423028,0.0001363839,0.0000018807465],"about_ca_topic_score_codex":0.013211975,"about_ca_topic_score_gemma":0.0071569346,"teacher_disagreement_score":0.013211975,"about_ca_system_score_codex":0.0008665625,"about_ca_system_score_gemma":0.001139624,"threshold_uncertainty_score":0.026270151},"labels":[],"label_agreement":null},{"id":"W4377227433","doi":"10.1016/j.compchemeng.2023.108294","title":"Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics","year":2023,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Iterative Learning 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":"Imperial Oil (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ode; Noise (video); Nonlinear system; System identification; Computer science; Identification (biology); Fidelity; Algorithm; Mathematics; Artificial intelligence; Data mining; Applied mathematics","score_opus":0.0071470352980922735,"score_gpt":0.2200597729081745,"score_spread":0.21291273761008223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377227433","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018575288,0.00008558351,0.9800837,0.00008762384,0.000043940276,0.000013686807,0.000022351293,0.00009066728,0.0009971772],"genre_scores_gemma":[0.5795857,0.00026082457,0.41492245,0.00009642368,0.000056591976,0.00006904786,0.00015813536,0.000074852454,0.0047760596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996063,0.00011028969,0.00002050995,0.00007941513,0.0001506069,0.0000329357],"domain_scores_gemma":[0.9994822,0.00019905015,0.000058443336,0.00012053456,0.000113411465,0.000026330017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053315214,0.00051487144,0.00054671685,0.00039846633,0.00030343333,0.0007062676,0.0005395637,0.0006160141,0.0013920849],"category_scores_gemma":[0.0023682998,0.00029053484,0.00040055817,0.0005466903,0.00060066575,0.0014327146,0.0014866946,0.00085274945,0.0003185591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061007444,0.0001444998,0.0015501746,0.0003052859,0.00014247528,0.00024356779,0.0004441871,0.40396193,0.10322712,0.1309919,0.0019040833,0.35647467],"study_design_scores_gemma":[0.0000069589955,0.000030313315,0.00016929256,0.000006393764,0.000008392134,0.000053045736,0.000013257566,0.9857588,0.0056035696,0.0075863814,0.00075407437,0.000009584611],"about_ca_topic_score_codex":0.0011417826,"about_ca_topic_score_gemma":0.0019491303,"teacher_disagreement_score":0.0013920849,"about_ca_system_score_codex":0.00024646163,"about_ca_system_score_gemma":0.00055200176,"threshold_uncertainty_score":0.00465703},"labels":[],"label_agreement":null},{"id":"W4385255961","doi":"10.1109/itec55900.2023.10187104","title":"Data-Based Model-Free Current Control of a PMSM Using Full-Form Dynamical Linearization Technique","year":2023,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Linearization; Feedback linearization; Current (fluid); Computer science; Control engineering; Control (management); Nonlinear system; Engineering; Physics; Artificial intelligence; Electrical engineering","score_opus":0.034873158412788416,"score_gpt":0.2861782483989995,"score_spread":0.2513050899862111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385255961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019863715,0.0003476912,0.97411907,0.0001579195,0.000092559196,0.00008009689,0.00005549864,0.0009376541,0.004345763],"genre_scores_gemma":[0.94996244,0.00020460933,0.047716774,0.000053435637,0.000041238338,0.00012605639,0.000082325045,0.000025627403,0.0017875753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999796,0.00003331313,0.000016730362,0.000046838886,0.00009482176,0.000012333115],"domain_scores_gemma":[0.99976045,0.00006647998,0.0000468253,0.000040406678,0.00007717242,0.000008646705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002678447,0.00045867087,0.0004609454,0.00022715899,0.0002881179,0.00057857134,0.00062916824,0.00032687333,0.0012027205],"category_scores_gemma":[0.0006114586,0.00016944646,0.00030504426,0.00025121603,0.00035841102,0.000614677,0.00047059738,0.0005466419,0.00035314204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034745058,0.00022740713,0.00090229406,0.0012757898,0.0001081216,0.0003209497,0.00061402435,0.40943226,0.17501394,0.02063404,0.0040747556,0.38704893],"study_design_scores_gemma":[0.00004122282,0.00038780522,0.0004520471,0.000024341605,0.000019314555,0.00011534144,0.000025002999,0.96878684,0.023658196,0.0017750676,0.00469553,0.000019356781],"about_ca_topic_score_codex":0.0011251973,"about_ca_topic_score_gemma":0.0009606933,"teacher_disagreement_score":0.0012027205,"about_ca_system_score_codex":0.0002161138,"about_ca_system_score_gemma":0.00036738845,"threshold_uncertainty_score":0.004023552},"labels":[],"label_agreement":null},{"id":"W4385308031","doi":"10.1002/cjce.25051","title":"A novel <scp>PID</scp> type iterative learning controller optimized by two‐dimensional infinite horizon linear quadratic iterative learning control for batch processes","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"PID controller; Linear-quadratic regulator; Control theory (sociology); Stability (learning theory); Iterative learning control; Mathematical optimization; Quadratic equation; Horizon; Controller (irrigation); Mathematics; Computer science; Lyapunov function; Optimal control; Nonlinear system; Control (management); Artificial intelligence; Engineering; Control engineering; Temperature control","score_opus":0.009132009230063324,"score_gpt":0.21433408043093646,"score_spread":0.20520207120087314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385308031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02028968,0.00023029973,0.97407246,0.00012191868,0.00006671368,0.000057251502,0.000021883658,0.00059241574,0.004547439],"genre_scores_gemma":[0.88656145,0.00012468749,0.10820413,0.00011860694,0.00003868116,0.0001605989,0.00006704841,0.000049140657,0.0046756295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994634,0.0000952472,0.000028998293,0.00011706011,0.00024973013,0.000045668163],"domain_scores_gemma":[0.9995958,0.00011216634,0.00007216748,0.000030184467,0.00016770436,0.000021988963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085659453,0.0004592954,0.00059405377,0.0002798551,0.0004141477,0.00085273286,0.0012322788,0.0005538041,0.0013071732],"category_scores_gemma":[0.00093577226,0.0002641915,0.00032626218,0.00038991543,0.00047278704,0.00048814763,0.00050280377,0.0008812798,0.00032091571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023459454,0.00020338877,0.0008019273,0.00026977237,0.00007221656,0.00015497813,0.00016762599,0.7618663,0.04511844,0.009438071,0.0039240667,0.1777486],"study_design_scores_gemma":[0.000015267131,0.000056431505,0.00007535184,0.0000026667835,0.000003209043,0.000010044316,0.000002397638,0.99706346,0.002020621,0.0001988125,0.0005462224,0.0000055214373],"about_ca_topic_score_codex":0.005559225,"about_ca_topic_score_gemma":0.0037279516,"teacher_disagreement_score":0.005559225,"about_ca_system_score_codex":0.00060201605,"about_ca_system_score_gemma":0.0011891576,"threshold_uncertainty_score":0.011053741},"labels":[],"label_agreement":null},{"id":"W4387215437","doi":"10.1016/j.automatica.2023.111304","title":"Enhancing prescribed performance of tracking control using monotone tube boundaries","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Key Research and Development Program of China; China Academy of Space Technology; National Natural Science Foundation of China","keywords":"Monotone polygon; Control theory (sociology); Overshoot (microwave communication); Boundary (topology); Convergence (economics); Nonlinear system; Mathematics; Constructive; Tracking (education); Mathematical optimization; Tracking error; Computer science; Control (management); Mathematical analysis; Artificial intelligence; Process (computing); Geometry","score_opus":0.01205061407014197,"score_gpt":0.2313539595511513,"score_spread":0.21930334548100933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387215437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077680424,0.00021366954,0.91409105,0.00018231978,0.00008201347,0.00004698194,0.000014846521,0.0002878352,0.0074008396],"genre_scores_gemma":[0.92293704,0.00016570505,0.07310079,0.000070480884,0.000029265057,0.00007882441,0.00002274976,0.00007665145,0.0035184477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927694,0.00030543798,0.000027909746,0.000085715925,0.00022854331,0.00007543764],"domain_scores_gemma":[0.99729866,0.001793456,0.00023617076,0.00016446435,0.00038011445,0.00012717258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012665717,0.00091377134,0.0006597755,0.0005149041,0.00040172224,0.00090553146,0.0007026641,0.0017001939,0.0017747469],"category_scores_gemma":[0.007828234,0.0003236228,0.00042447165,0.00026540586,0.0013556909,0.0014035358,0.0021736326,0.0010548738,0.00029312316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050767,0.0001578666,0.00057101576,0.00026809907,0.00003163444,0.00020573805,0.00029616532,0.7481367,0.075344995,0.11065078,0.00089774805,0.06293161],"study_design_scores_gemma":[0.0000142458575,0.00017291353,0.000087648536,0.000014239474,0.000004631794,0.000028739438,0.000010883416,0.97960943,0.008798819,0.010834955,0.00041399457,0.000009433733],"about_ca_topic_score_codex":0.00076850055,"about_ca_topic_score_gemma":0.00041298015,"teacher_disagreement_score":0.0017747469,"about_ca_system_score_codex":0.0006108045,"about_ca_system_score_gemma":0.0007970823,"threshold_uncertainty_score":0.0066983104},"labels":[],"label_agreement":null},{"id":"W4387656405","doi":"10.1007/978-981-99-6495-6_16","title":"Integrated Direct/Indirect Adaptive Robust Control for Electrical Driven Injection Machine Mold Closing with Accurate Parameter Estimations","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","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":"Dalhousie University","funders":"","keywords":"Closing (real estate); Computer science; Control theory (sociology); Nonlinear system; Servomotor; Control engineering; Controller (irrigation); Adaptive control; Mold; Robust control; DC motor; Servo; Control (management); Artificial intelligence; Engineering","score_opus":0.02086677264808847,"score_gpt":0.2327710201689762,"score_spread":0.2119042475208877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387656405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018369114,0.00045643916,0.9739265,0.000056160483,0.000099326404,0.000029638104,0.000020226433,0.0006705412,0.0063720644],"genre_scores_gemma":[0.8510757,0.00027255437,0.13709967,0.000081496786,0.00008224171,0.000097338176,0.00006693241,0.000111593436,0.01111251],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997913,0.000026085636,0.000010866326,0.000050015948,0.000103153376,0.0000186564],"domain_scores_gemma":[0.99981266,0.00006434745,0.00003679146,0.00003157857,0.00004840553,0.000006232342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003432789,0.0004602752,0.00045418387,0.0002026468,0.0002043533,0.0006419405,0.00080071855,0.00051500543,0.0024477118],"category_scores_gemma":[0.00046236068,0.00032388358,0.00035578664,0.00016599668,0.00033371436,0.0004660086,0.00076409464,0.0006273384,0.0004470213],"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":[0.00045410029,0.00014853005,0.00044255683,0.00036585404,0.00007703624,0.00014066714,0.00015386609,0.28933847,0.19244127,0.0110973315,0.0022953898,0.5030449],"study_design_scores_gemma":[0.00001768592,0.0002443092,0.00049366185,0.000017058937,0.00001856575,0.0000622342,0.000008683768,0.9699894,0.024626192,0.0014567493,0.0030518165,0.000013664978],"about_ca_topic_score_codex":0.0006135824,"about_ca_topic_score_gemma":0.0012565851,"teacher_disagreement_score":0.0024477118,"about_ca_system_score_codex":0.00020073718,"about_ca_system_score_gemma":0.00025813485,"threshold_uncertainty_score":0.0081884265},"labels":[],"label_agreement":null},{"id":"W4388231133","doi":"10.21203/rs.3.rs-3495635/v1","title":"Guidelines to design a neural network as a feedforward controller for fast trajectory tracking of robotic arms","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Institut de Valorisation des Données","keywords":"Feed forward; Trajectory; Controller (irrigation); Computer science; Artificial neural network; Control theory (sociology); Tracking (education); Feedforward neural network; Robotic arm; Control engineering; Artificial intelligence; Control (management); Engineering","score_opus":0.20588840934648145,"score_gpt":0.41933284472593557,"score_spread":0.21344443537945412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388231133","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016636621,0.0003449067,0.99151623,0.00019553075,0.000058765327,0.00037472637,0.00005153964,0.00085045403,0.0049442207],"genre_scores_gemma":[0.083476886,0.0007776637,0.90539,0.0002111162,0.00006742378,0.0020007982,0.00021172651,0.00024294089,0.0076213484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986045,0.0004093098,0.00016896981,0.00016796101,0.00059346267,0.00005593676],"domain_scores_gemma":[0.9980337,0.00047592833,0.00014141585,0.000120004566,0.0011779458,0.000050948704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018233472,0.0017262626,0.0007654618,0.0013581358,0.0005098556,0.0011656188,0.0017922472,0.0023038634,0.006675192],"category_scores_gemma":[0.0045520063,0.0007277348,0.00044783167,0.00033942863,0.00063224474,0.0011450857,0.0005741819,0.0011304354,0.0030399978],"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":[0.00025571603,0.00026796767,0.00095228024,0.0016137348,0.00006667295,0.00047681876,0.0002457352,0.4594548,0.052492153,0.029346982,0.011899763,0.4429274],"study_design_scores_gemma":[0.00017769284,0.000580113,0.0007346902,0.0005594206,0.00006832882,0.00022560846,0.0000934846,0.91692734,0.026560364,0.016930096,0.03705191,0.000090912894],"about_ca_topic_score_codex":0.003820166,"about_ca_topic_score_gemma":0.005946611,"teacher_disagreement_score":0.006675192,"about_ca_system_score_codex":0.0008229959,"about_ca_system_score_gemma":0.0014057102,"threshold_uncertainty_score":0.022330701},"labels":[],"label_agreement":null},{"id":"W4388726076","doi":"10.1109/tnnls.2023.3331367","title":"Data-Driven Internal Model Learning Control for Nonlinear Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks and Learning Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Internal model; Control theory (sociology); Iterative learning control; Nonlinear system; Robustness (evolution); Computer science; Inversion (geology); Linearization; Feedback linearization; Data-driven; Adaptive control; Controller (irrigation); Control engineering; Iterative method; Algorithm; Control (management); Artificial intelligence; Engineering","score_opus":0.023924889124049106,"score_gpt":0.2496285323231196,"score_spread":0.2257036431990705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388726076","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052159075,0.00016490543,0.9921365,0.000074335854,0.000035101886,0.00001872729,0.000015181682,0.00021827155,0.002121129],"genre_scores_gemma":[0.9295634,0.00031036427,0.06601839,0.00014135243,0.000063985986,0.00019225523,0.00013815914,0.000055458924,0.0035166582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995515,0.00008479894,0.000027184238,0.00010135476,0.00018458189,0.000050642717],"domain_scores_gemma":[0.999493,0.00016481176,0.000096596115,0.00005893651,0.00016674734,0.000019862193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083844026,0.0007664268,0.0006061329,0.00035643709,0.00032649832,0.00094518764,0.0010071377,0.00061957346,0.0012284816],"category_scores_gemma":[0.0013035975,0.00028788752,0.0005637879,0.00035515224,0.0007961395,0.0007301463,0.0013645478,0.0011066203,0.00034038458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006791779,0.000053064094,0.00035084918,0.00021084271,0.00004309253,0.00008573275,0.00017878262,0.87314546,0.009564677,0.02715416,0.0013160208,0.08782945],"study_design_scores_gemma":[0.000004839051,0.000037960795,0.000041698422,0.000005039947,0.0000030333338,0.000009304593,0.0000038925014,0.9963793,0.0010081144,0.0019376779,0.0005642313,0.0000048962324],"about_ca_topic_score_codex":0.003068066,"about_ca_topic_score_gemma":0.0022644978,"teacher_disagreement_score":0.003068066,"about_ca_system_score_codex":0.0006909249,"about_ca_system_score_gemma":0.000929137,"threshold_uncertainty_score":0.006100416},"labels":[],"label_agreement":null},{"id":"W4389161378","doi":"10.1109/tase.2023.3336933","title":"Sliding Mode Iterative Learning Control With Iteration-Dependent Parameter Learning Mechanism for Nonlinear Systems and Its Application","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Control theory (sociology); Nonlinear system; Convergence (economics); Computer science; Sliding mode control; Tracking error; Control engineering; Algorithm; Artificial intelligence; Engineering; Control (management); Physics","score_opus":0.009790262534760043,"score_gpt":0.2339471652813155,"score_spread":0.22415690274655548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389161378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010285579,0.0010248802,0.9843435,0.00014237475,0.00005953582,0.000035500154,0.000008728415,0.00015677151,0.003943104],"genre_scores_gemma":[0.888245,0.0014880055,0.10379647,0.00012219435,0.00009239509,0.00023944808,0.000058195878,0.000035915727,0.005922372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996113,0.00008240632,0.000028599326,0.00009855966,0.000145362,0.000033824002],"domain_scores_gemma":[0.9995653,0.00018770304,0.00005088034,0.000035785815,0.00014530236,0.000015117103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007122101,0.00062363106,0.00054118695,0.0002888889,0.0003242865,0.00068755134,0.0007828108,0.0009156635,0.0016202019],"category_scores_gemma":[0.0014973533,0.00021142563,0.0004890332,0.00037793972,0.0006598114,0.0006046846,0.00069503934,0.00087349664,0.00025413508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111952795,0.00007373816,0.0008528181,0.00037684818,0.00007531611,0.0001783386,0.0004152076,0.77397615,0.014261748,0.049264625,0.00148555,0.15892778],"study_design_scores_gemma":[0.000007682356,0.000054040305,0.00007757005,0.000007662381,0.000005294024,0.000020407293,0.000007851448,0.995235,0.0010355865,0.0025392286,0.0010021456,0.0000075619914],"about_ca_topic_score_codex":0.0029150182,"about_ca_topic_score_gemma":0.0011899973,"teacher_disagreement_score":0.0029150182,"about_ca_system_score_codex":0.0005231368,"about_ca_system_score_gemma":0.00076355675,"threshold_uncertainty_score":0.0057961345},"labels":[],"label_agreement":null},{"id":"W4389665658","doi":"10.1109/iros55552.2023.10341845","title":"Statistical Characterization of Position-Dependent Behavior Using Frequency-Aware B-Spline","year":2023,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"","keywords":"Computer science; Position (finance); Basis (linear algebra); Basis function; Sine; Spline (mechanical); Computation; B-spline; Jerk; Motion control; Motion (physics); Algorithm; Control theory (sociology); Artificial intelligence; Mathematics; Mathematical analysis; Robot; Engineering; Geometry","score_opus":0.014142506965388267,"score_gpt":0.2541852500555843,"score_spread":0.24004274309019602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389665658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11803248,0.00008329431,0.87985915,0.00004403221,0.000019089792,0.000034728164,0.00009377311,0.00041454696,0.0014189103],"genre_scores_gemma":[0.92293286,0.00014877696,0.075350314,0.000016614635,0.000008752901,0.00006381845,0.00018270792,0.00007850911,0.0012176271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999796,0.000034536402,0.00001127938,0.000038041017,0.00010301121,0.000017190112],"domain_scores_gemma":[0.9994773,0.00020140165,0.00007558146,0.0000920506,0.00013246553,0.000021219099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003769125,0.00030823285,0.00021448756,0.00052240206,0.00012364781,0.0002742598,0.00036354954,0.00032833876,0.0008578422],"category_scores_gemma":[0.0018304086,0.00013675843,0.0003067723,0.00047326842,0.00025790805,0.00034430623,0.00022378241,0.0003975425,0.00018607773],"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":[0.00026720844,0.00015121665,0.005635668,0.0002755305,0.00006340571,0.00018252843,0.00031907324,0.5681745,0.22355202,0.013754042,0.0006235416,0.18700117],"study_design_scores_gemma":[0.000002816252,0.000072072784,0.0027503923,0.000008694304,0.0000051604484,0.00004979364,0.000018682858,0.9830489,0.012282673,0.0012379107,0.0005072332,0.000015628344],"about_ca_topic_score_codex":0.0010112032,"about_ca_topic_score_gemma":0.0008016866,"teacher_disagreement_score":0.0010112032,"about_ca_system_score_codex":0.00016489005,"about_ca_system_score_gemma":0.00025388104,"threshold_uncertainty_score":0.0028697252},"labels":[],"label_agreement":null},{"id":"W4389692450","doi":"10.1109/tie.2023.3337523","title":"Dynamic Model-Free Control Approach for Fully Constrained Cable-Driven Parallel Robots: Prescribed Control Range","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Concordia University; University of Alberta","funders":"","keywords":"Redundancy (engineering); Computer science; Control theory (sociology); Range (aeronautics); Computation; Robot; System dynamics; Constraint (computer-aided design); Controller (irrigation); Control engineering; Tracking (education); Control (management); Engineering; Algorithm; Artificial intelligence","score_opus":0.022910895687689226,"score_gpt":0.22989584553049008,"score_spread":0.20698494984280086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389692450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062603536,0.000102489335,0.9905627,0.00005862668,0.000020180923,0.000019874718,0.000011782874,0.00015015644,0.0028137949],"genre_scores_gemma":[0.9024549,0.00025647224,0.09232701,0.000094710296,0.000039598435,0.00021631965,0.00006254658,0.00005775963,0.00449067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997135,0.000054078508,0.000012485605,0.00007423403,0.000115775496,0.000029986793],"domain_scores_gemma":[0.99963975,0.00012077715,0.00008778617,0.00004464465,0.000088389505,0.000018515137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041153393,0.00077272113,0.0006323704,0.00028346715,0.00038725862,0.00065990636,0.0009563526,0.0005974196,0.0019271519],"category_scores_gemma":[0.0008708473,0.0003284806,0.00044872094,0.00027872526,0.00070164935,0.0006606599,0.0011365365,0.0008670329,0.00031957508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055233464,0.00002394173,0.00017283148,0.00011249631,0.000018508623,0.00007623679,0.00010708441,0.9430289,0.007288166,0.013691257,0.0005951435,0.034830205],"study_design_scores_gemma":[0.0000065852983,0.00003573074,0.00003362452,0.0000055776036,0.000002852782,0.000013253864,0.000004840225,0.9972752,0.0007384553,0.0013378878,0.0005417037,0.0000043130435],"about_ca_topic_score_codex":0.003775885,"about_ca_topic_score_gemma":0.0022416562,"teacher_disagreement_score":0.003775885,"about_ca_system_score_codex":0.00054674584,"about_ca_system_score_gemma":0.00082546636,"threshold_uncertainty_score":0.0075078607},"labels":[],"label_agreement":null},{"id":"W4390628613","doi":"10.1016/j.conengprac.2023.105834","title":"Data-driven reference trajectory optimization for precision motion systems","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"NCCR Catalysis; Innosuisse - Schweizerische Agentur für Innovationsförderung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Trajectory; Computer science; Acceleration; Position (finance); Control theory (sociology); Tracking (education); Tree traversal; Motion (physics); Trajectory optimization; Motion control; Fidelity; Compensation (psychology); Controller (irrigation); Artificial intelligence; Algorithm; Robot; Control (management)","score_opus":0.026576329968158733,"score_gpt":0.27147979635461844,"score_spread":0.2449034663864597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390628613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035327617,0.00006868805,0.99551105,0.00003496942,0.0000114453005,0.000010602419,0.000012053306,0.00019571213,0.00062262407],"genre_scores_gemma":[0.62544876,0.00017652236,0.369942,0.00007026584,0.000028637774,0.000168487,0.00019266165,0.00015549203,0.0038171266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974257,0.000044038385,0.000014576848,0.000054610842,0.00011991074,0.000024358047],"domain_scores_gemma":[0.9995209,0.00016494593,0.0000768266,0.000068265996,0.0001519656,0.000017118253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056061643,0.0007433433,0.0006506128,0.00035890972,0.00033303676,0.0005700788,0.0010137019,0.0007443967,0.0015943014],"category_scores_gemma":[0.0015805545,0.00046834996,0.0003587491,0.0004582196,0.00054679427,0.0007134648,0.0008069025,0.00092861836,0.00039802236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038025362,0.000022630511,0.00020251269,0.00007181995,0.00001392919,0.000024689525,0.00005750393,0.9276874,0.0064468975,0.006514192,0.00061788247,0.058302525],"study_design_scores_gemma":[0.0000032695684,0.000019513984,0.000029155328,0.0000029873281,0.0000012379538,0.0000046840128,0.000001986169,0.99703014,0.0015617671,0.0007918033,0.0005501089,0.000003271003],"about_ca_topic_score_codex":0.005388995,"about_ca_topic_score_gemma":0.00456986,"teacher_disagreement_score":0.005388995,"about_ca_system_score_codex":0.000658362,"about_ca_system_score_gemma":0.0010874227,"threshold_uncertainty_score":0.010715246},"labels":[],"label_agreement":null},{"id":"W4392607732","doi":"10.1109/tii.2024.3369229","title":"Iterative Learning Control Based on Neural Network and Its Application to Ni-Mn-Ga Alloy Actuator With Local Lipschitz Nonlinearity","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Actuator; Alloy; Lipschitz continuity; Artificial neural network; Nonlinear system; Materials science; Control theory (sociology); Computer science; Control (management); Artificial intelligence; Metallurgy; Mathematics; Physics; Mathematical analysis","score_opus":0.012750196456321748,"score_gpt":0.22462500644772265,"score_spread":0.2118748099914009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392607732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04016748,0.00075011817,0.95409876,0.00016546441,0.00006896248,0.0000363945,0.000007207517,0.00020143442,0.0045042774],"genre_scores_gemma":[0.9454011,0.0004293037,0.051807377,0.00005028308,0.000027066511,0.00007759853,0.000012547737,0.000012918788,0.0021818036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997862,0.000041995743,0.000014909025,0.00005216337,0.000081360435,0.000023302087],"domain_scores_gemma":[0.99973196,0.000117823474,0.00003274181,0.000019198418,0.00008992451,0.000008273453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005053207,0.00037232894,0.00036096544,0.00021359429,0.00032511703,0.00036752893,0.00056508335,0.0006069127,0.0005090415],"category_scores_gemma":[0.0010721162,0.00014737202,0.00030147223,0.00025438817,0.00047672648,0.00040787726,0.00039860123,0.00041925104,0.000050427992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010022006,0.000048612124,0.0011424144,0.00017706679,0.00004004727,0.00020228392,0.00024090844,0.81938255,0.024787491,0.009430976,0.00056990894,0.14387757],"study_design_scores_gemma":[0.0000026752912,0.000027633445,0.00011192154,0.0000036555878,0.000004033345,0.00001912434,0.0000045863408,0.99754363,0.0016182737,0.0004525823,0.00020713803,0.000004683083],"about_ca_topic_score_codex":0.0066493154,"about_ca_topic_score_gemma":0.004008977,"teacher_disagreement_score":0.0066493154,"about_ca_system_score_codex":0.0004146496,"about_ca_system_score_gemma":0.00060322054,"threshold_uncertainty_score":0.013221204},"labels":[],"label_agreement":null},{"id":"W4394926811","doi":"10.1002/cjce.25261","title":"An integrated tube robust iterative learning model predictive control strategy based on dynamic partial least squares algorithm for batch processes","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Robustness (evolution); Control theory (sociology); Model predictive control; Partial least squares regression; Computer science; Trajectory; Tracking error; Variable (mathematics); Mathematical optimization; Ellipsoid; Algorithm; Mathematics; Control (management); Artificial intelligence; Machine learning","score_opus":0.006668591918850951,"score_gpt":0.20591117432260855,"score_spread":0.1992425824037576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394926811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009988866,0.00014272273,0.9875158,0.00006666246,0.000024826244,0.00003195676,0.000014093632,0.0003124816,0.001902489],"genre_scores_gemma":[0.8463367,0.00021247497,0.14913754,0.00008525352,0.000036504633,0.00024012475,0.00011269951,0.00006295548,0.00377566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994661,0.000114279384,0.000028377812,0.00013693793,0.00021067825,0.000043613618],"domain_scores_gemma":[0.9996159,0.00014147155,0.00006020746,0.000033844677,0.00013412959,0.000014430305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006731325,0.0007956025,0.00088305044,0.00034062055,0.0004895462,0.00091398426,0.001280051,0.0007848701,0.0014024529],"category_scores_gemma":[0.0010622395,0.00039391,0.00060486357,0.00045437456,0.00065593194,0.0008739629,0.000808844,0.0008943498,0.0002990105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011090208,0.00004650853,0.00037407613,0.00011593479,0.000039084745,0.000077226934,0.00008343058,0.90649295,0.0073922663,0.0063543776,0.0009081633,0.07800508],"study_design_scores_gemma":[0.0000049501223,0.000035384706,0.00004115072,0.0000020460775,0.0000029767016,0.000006728552,0.0000020969912,0.9985806,0.00071934477,0.00039459267,0.00020644708,0.0000036935057],"about_ca_topic_score_codex":0.0069681997,"about_ca_topic_score_gemma":0.0031532731,"teacher_disagreement_score":0.0069681997,"about_ca_system_score_codex":0.0005454838,"about_ca_system_score_gemma":0.0011583472,"threshold_uncertainty_score":0.0138552785},"labels":[],"label_agreement":null},{"id":"W4395955884","doi":"10.18280/jesa.570210","title":"Enhanced Ball Trajectory Tracking Using Visual Servoing with 2-DOF Ball on Plate Balancing System","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Visual servoing; Ball (mathematics); Computer vision; Artificial intelligence; Computer science; Trajectory; Tracking (education); Control theory (sociology); Mathematics; Robot; Geometry; Physics; Psychology; Control (management)","score_opus":0.012456511513618087,"score_gpt":0.24187043316193968,"score_spread":0.22941392164832158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395955884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13977927,0.00027771643,0.8489282,0.00013341739,0.00009954474,0.00015910542,0.00005313312,0.0022431375,0.008326473],"genre_scores_gemma":[0.94352406,0.00012145106,0.051282566,0.00004930243,0.000018540288,0.0000913433,0.000055742443,0.00003125109,0.0048256502],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970776,0.000035344536,0.00001411854,0.00006766231,0.00014733127,0.000027864773],"domain_scores_gemma":[0.99974066,0.00005882554,0.000062945,0.00003343286,0.00008763509,0.000016524822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003967376,0.00046965625,0.0003678174,0.00031868092,0.00024048713,0.00040712152,0.0006559695,0.00054455496,0.0016477266],"category_scores_gemma":[0.0006860328,0.00024046053,0.00019799534,0.00022920471,0.00023243981,0.00041594516,0.00065997394,0.00022319151,0.0004065295],"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":[0.00078286504,0.0001806264,0.0016415596,0.00063891953,0.000054487446,0.00041247733,0.00050869345,0.23728381,0.51893765,0.0023983717,0.0018231125,0.23533747],"study_design_scores_gemma":[0.00009397433,0.00084468693,0.0024545703,0.000028044384,0.00001981075,0.00022601134,0.000043015312,0.94501543,0.046207048,0.00039187912,0.0046421485,0.000033407516],"about_ca_topic_score_codex":0.0025298416,"about_ca_topic_score_gemma":0.0024282006,"teacher_disagreement_score":0.0025298416,"about_ca_system_score_codex":0.00020654731,"about_ca_system_score_gemma":0.00052201183,"threshold_uncertainty_score":0.0055122375},"labels":[],"label_agreement":null},{"id":"W4396801831","doi":"10.1139/tcsme-2023-0168","title":"Online identification and feed-forward compensation of nonlinear friction in servo system based on RBF neural network model","year":2024,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Artificial neural network; Nonlinear system; Control theory (sociology); Compensation (psychology); Servomechanism; Identification (biology); Computer science; Feedforward neural network; Feed forward; System identification; Nonlinear model; Control engineering; Engineering; Artificial intelligence; Control (management); Physics; Data modeling","score_opus":0.009350120786750344,"score_gpt":0.20109230313484575,"score_spread":0.1917421823480954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396801831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020926049,0.0003770561,0.97738785,0.00004947296,0.00003783216,0.00002108044,0.000009448682,0.0003584654,0.00083277567],"genre_scores_gemma":[0.890903,0.00045623205,0.105568044,0.000049569564,0.000032133397,0.000071044,0.000048797338,0.000055443004,0.0028156282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996111,0.00006217388,0.000028535784,0.000086863765,0.00017532644,0.000036098903],"domain_scores_gemma":[0.999678,0.00008319565,0.00004573987,0.000034061468,0.00014828752,0.000010778002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054136285,0.000602701,0.00085123256,0.00033053412,0.00033090237,0.00043758444,0.00091893575,0.00090999797,0.0008033254],"category_scores_gemma":[0.0010727365,0.0003222125,0.00060372637,0.00026388638,0.00034050934,0.0011485372,0.0004028791,0.00071132183,0.00022626841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029582894,0.000109732224,0.0018902409,0.0005361227,0.00011829563,0.00029307365,0.00033077123,0.66319007,0.08262499,0.0058338735,0.00096307625,0.243814],"study_design_scores_gemma":[0.000007053391,0.000040419654,0.00023798512,0.000005309029,0.000010073584,0.000047240403,0.00000720971,0.9945498,0.004505253,0.00025655876,0.00032310523,0.000009934892],"about_ca_topic_score_codex":0.006572538,"about_ca_topic_score_gemma":0.004386056,"teacher_disagreement_score":0.006572538,"about_ca_system_score_codex":0.00034268966,"about_ca_system_score_gemma":0.00052032236,"threshold_uncertainty_score":0.013068557},"labels":[],"label_agreement":null},{"id":"W4398198586","doi":"10.1109/control60310.2024.10532118","title":"Optimisation-Based Iterative Learning Control for Distributed Consensus Tracking","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Iterative learning control; Computer science; Convergence (economics); Tracking error; Tracking (education); Iterative method; Norm (philosophy); Control theory (sociology); Mathematical optimization; Algorithm; Control (management); Artificial intelligence; Mathematics","score_opus":0.011162825517910755,"score_gpt":0.24067859459487148,"score_spread":0.22951576907696072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398198586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030564575,0.000119271615,0.9948559,0.000052236363,0.000017567363,0.000013144543,0.000004147355,0.00008698172,0.0017942865],"genre_scores_gemma":[0.8195217,0.00038445258,0.17412505,0.00010597086,0.000079114514,0.000204271,0.00006052532,0.0000871784,0.0054317215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947315,0.0001530119,0.00002314896,0.000103879196,0.0002097989,0.000037002625],"domain_scores_gemma":[0.999321,0.00039691044,0.00009497096,0.000045802444,0.0001239346,0.000017493314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008818952,0.0005705574,0.0006489785,0.0003342821,0.00029335215,0.0005616728,0.000847313,0.00071214564,0.0011562856],"category_scores_gemma":[0.0023219516,0.00020996395,0.0003537622,0.00054242066,0.00086105947,0.0005919492,0.0010761034,0.0010374652,0.00035064662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048449245,0.000028103263,0.000182455,0.00009220833,0.00002435519,0.000033283184,0.000074214586,0.91036534,0.0042154514,0.020604445,0.0006117332,0.06371998],"study_design_scores_gemma":[0.000005592624,0.000025154679,0.000034783014,0.0000035734606,0.0000021237615,0.000008592773,0.0000021206122,0.9946537,0.0005348964,0.0042153895,0.0005103998,0.0000037072416],"about_ca_topic_score_codex":0.0017316698,"about_ca_topic_score_gemma":0.0011957296,"teacher_disagreement_score":0.0017316698,"about_ca_system_score_codex":0.0005983228,"about_ca_system_score_gemma":0.0007318203,"threshold_uncertainty_score":0.0046639442},"labels":[],"label_agreement":null},{"id":"W4399060798","doi":"10.1109/jas.2024.124416","title":"Asynchronous Learning-Based Output Feedback Sliding Mode Control for Semi-Markov Jump Systems: A Descriptor Approach","year":2024,"lang":"en","type":"article","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; National Natural Science Foundation of China; National Science Foundation","keywords":"Jump; Computer science; Asynchronous communication; Control theory (sociology); Output feedback; Mode (computer interface); Asynchronous learning; Control (management); Markov chain; Hidden Markov model; Artificial intelligence; Mathematics; Machine learning; Physics; Human–computer interaction; Mathematics education; Telecommunications","score_opus":0.01291698917640091,"score_gpt":0.2447246408806657,"score_spread":0.2318076517042648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399060798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0102842115,0.00017941151,0.98764706,0.000047091915,0.000031571002,0.000015499232,0.000010575313,0.00011333247,0.0016712748],"genre_scores_gemma":[0.9674124,0.00030806634,0.029653406,0.00006048602,0.00006003626,0.000088073466,0.00004214068,0.000020257998,0.0023551574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999716,0.00005555894,0.000020622037,0.0000753621,0.000094370786,0.000038093553],"domain_scores_gemma":[0.99966717,0.00013325352,0.000068917216,0.000022911634,0.00008748644,0.000020342459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004866609,0.0005015069,0.00053243147,0.00030730182,0.00030156595,0.0006744935,0.000870506,0.00045396676,0.0010682798],"category_scores_gemma":[0.00068098673,0.00019026015,0.00046376255,0.00031992473,0.0006069011,0.00050745154,0.0006861358,0.00072932016,0.00015619221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013959147,0.00009383685,0.0007285757,0.00026925877,0.000059446833,0.00013759044,0.0002455455,0.8452171,0.015662702,0.045070425,0.0008457064,0.0915302],"study_design_scores_gemma":[0.0000072214416,0.00005169313,0.00006327356,0.0000029527837,0.0000050401136,0.0000071527834,0.0000053720237,0.9972574,0.00058475044,0.0017770446,0.00023431916,0.0000038069747],"about_ca_topic_score_codex":0.0031616583,"about_ca_topic_score_gemma":0.0021336693,"teacher_disagreement_score":0.0031616583,"about_ca_system_score_codex":0.00045819845,"about_ca_system_score_gemma":0.00062956626,"threshold_uncertainty_score":0.006286502},"labels":[],"label_agreement":null},{"id":"W4399768014","doi":"10.1109/tsmc.2024.3405544","title":"Data-Driven Finite-Iteration Learning Control","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Iterative learning control; Computer science; Control (management); Applied mathematics; Mathematics; Artificial intelligence","score_opus":0.01642805831984378,"score_gpt":0.22816834548341822,"score_spread":0.21174028716357443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399768014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074604275,0.00012049312,0.9902237,0.00005484892,0.000035579676,0.000021117929,0.000013613944,0.0001977896,0.0018724648],"genre_scores_gemma":[0.9138465,0.00016827018,0.08220054,0.00011553774,0.000046582252,0.00015743656,0.00009965182,0.000042770374,0.003322645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990711,0.00015137617,0.000057165365,0.00023091798,0.00040354737,0.000085931344],"domain_scores_gemma":[0.9987722,0.00046480598,0.00018642405,0.0001209823,0.00040737248,0.00004820193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012883843,0.0006950221,0.00082430575,0.00039897035,0.00039027745,0.00094484503,0.0017476993,0.0008611128,0.0012998922],"category_scores_gemma":[0.0026506758,0.00028325396,0.00053036894,0.00034150155,0.0010881807,0.00095691916,0.0011901248,0.0011449384,0.00030038945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011541872,0.00006110908,0.0005059508,0.000156931,0.000031988267,0.00006786625,0.00013507761,0.89725316,0.006179879,0.019131739,0.000787533,0.07557338],"study_design_scores_gemma":[0.0000048735037,0.000032341282,0.000039723745,0.0000037273592,0.0000021353535,0.000008913629,0.000002212308,0.9975585,0.0007481384,0.001213505,0.0003811223,0.0000047759836],"about_ca_topic_score_codex":0.003469047,"about_ca_topic_score_gemma":0.0024604485,"teacher_disagreement_score":0.003469047,"about_ca_system_score_codex":0.0008485391,"about_ca_system_score_gemma":0.0010163365,"threshold_uncertainty_score":0.006897688},"labels":[],"label_agreement":null},{"id":"W4399939585","doi":"10.1109/tvt.2024.3418039","title":"An Efficient Two-Layer Optimal Torque Split Strategy for PHEV Considering Time-Delay Compensation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China","keywords":"Torque; Control theory (sociology); Compensation (psychology); Layer (electronics); Computer science; Engineering; Materials science; Control (management); Physics","score_opus":0.012507779570951153,"score_gpt":0.2581605677746834,"score_spread":0.24565278820373224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399939585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052156687,0.00033655608,0.9419064,0.0001516183,0.00009097571,0.000071860384,0.000022499562,0.00029092186,0.004972516],"genre_scores_gemma":[0.98465204,0.00007544708,0.013894308,0.000034309942,0.00001694469,0.000042658958,0.000018484483,0.000007926925,0.0012579119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997583,0.000035165234,0.00001547631,0.00006463597,0.000068893336,0.000057468682],"domain_scores_gemma":[0.99984145,0.000033497385,0.000033486907,0.000016286773,0.000056936267,0.000018220899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034170153,0.00079559156,0.0005840893,0.000251993,0.0005229092,0.0008190856,0.000874137,0.00050268136,0.001150649],"category_scores_gemma":[0.00043661214,0.00026102577,0.000397945,0.00019515354,0.00040009967,0.00073769497,0.00073518953,0.0005401019,0.00016433535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040668968,0.00014981351,0.0010834596,0.00024032641,0.00008036747,0.000312576,0.00024976075,0.80775964,0.043232244,0.014216019,0.0018050101,0.13046406],"study_design_scores_gemma":[0.000021462265,0.00015419578,0.0001604387,0.000005120348,0.000010466918,0.000026519781,0.00001858618,0.9952193,0.0027612685,0.0011738872,0.00044064724,0.000008031489],"about_ca_topic_score_codex":0.0050238403,"about_ca_topic_score_gemma":0.0036391146,"teacher_disagreement_score":0.0050238403,"about_ca_system_score_codex":0.0004704738,"about_ca_system_score_gemma":0.0009126694,"threshold_uncertainty_score":0.009989202},"labels":[],"label_agreement":null},{"id":"W4400279801","doi":"10.3390/math12132090","title":"A Novel Error-Based Adaptive Feedback Zeroing Neural Network for Solving Time-Varying Quadratic Programming Problems","year":2024,"lang":"en","type":"article","venue":"Mathematics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Convergence (economics); Rate of convergence; Artificial neural network; Computer science; Control theory (sociology); Quadratic programming; Recurrent neural network; Quadratic equation; Mathematical optimization; Mathematics; Artificial intelligence; Key (lock); Control (management)","score_opus":0.02598697813153616,"score_gpt":0.24182327297170117,"score_spread":0.215836294840165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400279801","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01022669,0.0004024747,0.9863957,0.00009173679,0.00006808716,0.000027794185,0.00002010734,0.00023724197,0.00253012],"genre_scores_gemma":[0.7303729,0.0007347745,0.25979462,0.00021790038,0.000071162984,0.00021348376,0.0001451578,0.00007334579,0.008376753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997582,0.000040077157,0.000015148497,0.000053385553,0.0001028282,0.0000304088],"domain_scores_gemma":[0.9997845,0.000074848904,0.000024150268,0.0000120338445,0.000093865165,0.00001044765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005925357,0.00062691915,0.000592534,0.0003427465,0.00032431926,0.0005198043,0.0012756743,0.0007630381,0.001375868],"category_scores_gemma":[0.0011625096,0.00023896352,0.00037958295,0.00042586753,0.00040072127,0.0008141078,0.00070839096,0.0008733386,0.00026891552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083024664,0.000048424947,0.000589106,0.00015541581,0.000042912805,0.00009683545,0.000085168394,0.80741024,0.006949094,0.011098334,0.0014793564,0.17196211],"study_design_scores_gemma":[0.0000061883998,0.000025661535,0.00004475301,0.000004982459,0.000004453059,0.000013466412,0.0000029753637,0.9979633,0.00050127856,0.00086684653,0.0005620429,0.000004104067],"about_ca_topic_score_codex":0.0070613506,"about_ca_topic_score_gemma":0.006411814,"teacher_disagreement_score":0.0070613506,"about_ca_system_score_codex":0.00045828582,"about_ca_system_score_gemma":0.00082490296,"threshold_uncertainty_score":0.01404053},"labels":[],"label_agreement":null},{"id":"W4400411097","doi":"10.1109/iceeac61226.2024.10576460","title":"Control of PMSM Drives for EV Using Nonlinear Techniques and Input-Output Linearization","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Feedback linearization; Nonlinear system; Linearization; Nonlinear control; Vector control; Control (management); Control engineering; Computer science; Engineering; Physics; Voltage; Induction motor; Electrical engineering","score_opus":0.009911816364735846,"score_gpt":0.24996815471048164,"score_spread":0.2400563383457458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400411097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026285617,0.0006841949,0.964538,0.00011238669,0.0000789279,0.00006157261,0.00003717958,0.0003885753,0.007813609],"genre_scores_gemma":[0.9468562,0.00041454227,0.04819308,0.00003957422,0.00003874004,0.00010516022,0.000057468398,0.000024399438,0.0042709396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998969,0.000025212872,0.00000683377,0.0000183935,0.00004423621,0.000008536398],"domain_scores_gemma":[0.9998982,0.00003579299,0.000023438564,0.000009083512,0.000030687712,0.0000027602327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002555565,0.0003934227,0.00021785621,0.00012866019,0.00019979673,0.00032567824,0.00033173122,0.00020181052,0.00080791686],"category_scores_gemma":[0.00042524422,0.00008960233,0.0002189271,0.00012223658,0.00024832075,0.00025089624,0.00026728396,0.00033934656,0.00027680688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021687051,0.00012436925,0.0015832026,0.0014961684,0.000076964636,0.00029784147,0.0005015199,0.43886524,0.10711656,0.019781226,0.003123503,0.42681655],"study_design_scores_gemma":[0.00003520302,0.0005150348,0.0015884428,0.00006848282,0.000024708044,0.00020607944,0.00006816159,0.9574012,0.023134267,0.0043614935,0.0125745125,0.000022318558],"about_ca_topic_score_codex":0.0008588548,"about_ca_topic_score_gemma":0.001330785,"teacher_disagreement_score":0.0008588548,"about_ca_system_score_codex":0.00018738834,"about_ca_system_score_gemma":0.0002564095,"threshold_uncertainty_score":0.002702713},"labels":[],"label_agreement":null},{"id":"W4400525711","doi":"10.1109/tsmc.2024.3417378","title":"Double-Layered Iterative Learning Control for Nonlinear Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Nonlinear system; Computer science; Control (management); Control theory (sociology); Artificial intelligence; Physics","score_opus":0.01222021261091509,"score_gpt":0.2290463585954975,"score_spread":0.21682614598458239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400525711","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073842425,0.00028211155,0.990321,0.00005850638,0.000029188941,0.000021847436,0.0000070243846,0.00018231486,0.0017137061],"genre_scores_gemma":[0.86134803,0.0005249503,0.13425277,0.00010210105,0.00006563547,0.00019714193,0.00006412358,0.00004915344,0.0033961444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930465,0.00013648026,0.00005458859,0.00014751982,0.0002748039,0.000081936],"domain_scores_gemma":[0.9993259,0.0002263349,0.000119493605,0.00008737046,0.00020667702,0.000034300723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010913907,0.0008555065,0.00067380315,0.00040373646,0.00037443885,0.0010985065,0.0012178824,0.0006674598,0.0012343981],"category_scores_gemma":[0.0019296363,0.00028899635,0.00054643763,0.00041022527,0.0010121544,0.0010501466,0.0015617053,0.0011338628,0.0003163057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008722658,0.00006777637,0.0005183649,0.00025744757,0.00005694229,0.00009426964,0.00023234618,0.84795094,0.012510113,0.035503883,0.0007974144,0.10192326],"study_design_scores_gemma":[0.0000041558937,0.00004602435,0.000040352417,0.0000061075334,0.0000037407988,0.0000111325835,0.000003900521,0.996083,0.0011389621,0.0021900076,0.0004669383,0.0000056447057],"about_ca_topic_score_codex":0.003258411,"about_ca_topic_score_gemma":0.002061512,"teacher_disagreement_score":0.003258411,"about_ca_system_score_codex":0.00081470155,"about_ca_system_score_gemma":0.00104534,"threshold_uncertainty_score":0.0064789057},"labels":[],"label_agreement":null},{"id":"W4400877880","doi":"10.1109/tmech.2024.3425325","title":"A Novel Variable-Parameter Variable-Activation-Function Finite-Time Neural Network for Solving Joint-Angle Drift Issues of Redundant-Robot Manipulators","year":2024,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Variable (mathematics); Artificial neural network; Control theory (sociology); Robot; Function (biology); Computer science; Joint (building); Activation function; Mathematics; Artificial intelligence; Engineering; Control (management); Mathematical analysis; Structural engineering","score_opus":0.01854742516162971,"score_gpt":0.22918100890878665,"score_spread":0.21063358374715693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400877880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009163214,0.0003669699,0.9886292,0.000070282025,0.000054983157,0.000017049679,0.000013263103,0.00023234345,0.0014526439],"genre_scores_gemma":[0.7615003,0.0006382071,0.23128861,0.00016455479,0.000060004535,0.00015952696,0.00012358057,0.00006350278,0.006001825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999783,0.000038245096,0.000015243812,0.00005538485,0.00008175217,0.000026395146],"domain_scores_gemma":[0.9997861,0.00006866574,0.00002492445,0.000017591936,0.00009153908,0.00001122784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572537,0.0006621573,0.0004940347,0.00026589012,0.00035194587,0.0005020428,0.0012713138,0.0009508255,0.0010451534],"category_scores_gemma":[0.0011150324,0.00024022954,0.0005044251,0.00031572845,0.00034594163,0.0010175626,0.00051953783,0.00085220725,0.00025300265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080531216,0.000040306622,0.00087162456,0.00013759639,0.000049672646,0.00013704218,0.00010760064,0.7902048,0.014686778,0.008494938,0.0013528966,0.1838362],"study_design_scores_gemma":[0.0000027639242,0.000015771022,0.00004628373,0.0000042835363,0.000005134198,0.000022163422,0.000003146456,0.9980617,0.00090008276,0.0005432238,0.00039186634,0.0000033991757],"about_ca_topic_score_codex":0.0049766395,"about_ca_topic_score_gemma":0.0041841804,"teacher_disagreement_score":0.0049766395,"about_ca_system_score_codex":0.00048047028,"about_ca_system_score_gemma":0.00069591886,"threshold_uncertainty_score":0.009895325},"labels":[],"label_agreement":null},{"id":"W4401416999","doi":"10.1109/icra57147.2024.10611589","title":"Model-Free Control of a Class of High-Precision Scanning Motion Systems with Piezoceramic Actuators","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Actuator; Motion control; Class (philosophy); Motion (physics); Computer science; Control theory (sociology); Control (management); Artificial intelligence; Robot","score_opus":0.006221715511205627,"score_gpt":0.1994695854429261,"score_spread":0.19324786993172047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401416999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034623504,0.00022254969,0.9600698,0.00007331585,0.00005262453,0.00006183312,0.000033252985,0.0003963289,0.004466804],"genre_scores_gemma":[0.9423576,0.00017727668,0.05509615,0.000023450331,0.000014949813,0.000117310046,0.000049294435,0.00001375464,0.0021500904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999801,0.000019369198,0.000010892608,0.00005566704,0.00009264086,0.000020512925],"domain_scores_gemma":[0.99986887,0.00003494582,0.000039336646,0.000024336694,0.000025122878,0.000007385528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019146745,0.0004255206,0.00027176074,0.00013804265,0.0002202583,0.0004215576,0.0004895117,0.00035628912,0.0009786674],"category_scores_gemma":[0.0003892944,0.00015576757,0.00026980668,0.0001287978,0.00037255458,0.00033535075,0.00035767152,0.00045649774,0.0001685121],"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":[0.00020438174,0.00012143483,0.0008821829,0.00048217623,0.000060047216,0.00023783237,0.00030027903,0.40781152,0.38504907,0.033402044,0.001287407,0.17016166],"study_design_scores_gemma":[0.000027300688,0.00031160723,0.0009355094,0.000015785607,0.0000152359535,0.00009748877,0.000015691483,0.9501275,0.0419131,0.0021473349,0.004378159,0.000015267184],"about_ca_topic_score_codex":0.0011015114,"about_ca_topic_score_gemma":0.0016570204,"teacher_disagreement_score":0.0011015114,"about_ca_system_score_codex":0.0002866124,"about_ca_system_score_gemma":0.00048625216,"threshold_uncertainty_score":0.0032740235},"labels":[],"label_agreement":null},{"id":"W4401691822","doi":"10.1109/tase.2024.3434674","title":"Output Feedback With Feedforward Robust Control for Motion Systems Driven by Nonlinear Position-Dependent Actuators","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Control theory (sociology); Feed forward; Actuator; Nonlinear system; Position (finance); Motion control; Feedback control; Robust control; Motion (physics); Robustness (evolution); Computer science; Control engineering; Nonlinear control; Control system; Control (management); Engineering; Robot; Artificial intelligence; Physics","score_opus":0.006907173905636213,"score_gpt":0.20365607047931136,"score_spread":0.19674889657367514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401691822","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007365726,0.0005127679,0.98791355,0.00012549355,0.00012145598,0.00004284967,0.000019843732,0.0002823158,0.0036160517],"genre_scores_gemma":[0.94153583,0.00070457836,0.051541172,0.00018410987,0.0001653326,0.0002694147,0.00008108158,0.00005190201,0.005466518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993024,0.00012643571,0.000049795595,0.00015548241,0.00030197503,0.00006386221],"domain_scores_gemma":[0.9994486,0.0001746032,0.00013771858,0.000036505604,0.00018709373,0.00001551611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009289595,0.0015163579,0.000624019,0.00039188485,0.00042712016,0.0010297965,0.0009988643,0.000830144,0.0015833736],"category_scores_gemma":[0.0012852382,0.00032852884,0.00064494356,0.00030721512,0.00083643966,0.00071054575,0.0010113622,0.00096601725,0.00033556696],"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":[0.0003335808,0.00012565129,0.0006691222,0.0011615898,0.00017287368,0.0006099732,0.00049059535,0.69391245,0.08825901,0.044451915,0.0024705764,0.16734272],"study_design_scores_gemma":[0.00002866863,0.00033015918,0.00023747611,0.000031417912,0.000022714727,0.00005638928,0.00001571121,0.98848945,0.005704158,0.002536083,0.00252809,0.00001972357],"about_ca_topic_score_codex":0.0023477862,"about_ca_topic_score_gemma":0.0019568698,"teacher_disagreement_score":0.0023477862,"about_ca_system_score_codex":0.00053047563,"about_ca_system_score_gemma":0.0005970468,"threshold_uncertainty_score":0.005296886},"labels":[],"label_agreement":null},{"id":"W4402260524","doi":"10.23919/acc60939.2024.10644322","title":"Observations on Causal Iterative-Learning-Control &amp; Transients","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Iterative learning control; Computer science; Control (management); Control theory (sociology); Artificial intelligence","score_opus":0.01787359284916879,"score_gpt":0.23712689731647202,"score_spread":0.21925330446730323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402260524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04883092,0.002025465,0.8443932,0.0062380387,0.00047722974,0.00005383611,0.0002617673,0.00093455584,0.096784905],"genre_scores_gemma":[0.9497213,0.0020108232,0.036173202,0.0008962179,0.0005369331,0.000049004146,0.00012172515,0.00013382566,0.010356982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934095,0.0001252467,0.000042960415,0.0001061879,0.00031490682,0.00006974799],"domain_scores_gemma":[0.9947817,0.0037721621,0.00030563213,0.0005267681,0.00055434264,0.00005942253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011238626,0.00044202188,0.00037887495,0.0005467633,0.0005431204,0.00094626844,0.00074722647,0.0015116314,0.0058563645],"category_scores_gemma":[0.0077175545,0.00027648985,0.00030938987,0.00049062655,0.0019389734,0.0020449618,0.0006416329,0.0025008032,0.00074433355],"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":[0.00013033081,0.000070006114,0.0008046681,0.00024257356,0.00001512078,0.0005511325,0.00059907476,0.09654301,0.0079134535,0.8555844,0.005641479,0.031904753],"study_design_scores_gemma":[0.000030844833,0.00008227289,0.0013221573,0.00009997729,0.000013181035,0.0005506694,0.0001005862,0.36045355,0.0096121365,0.6064792,0.02119619,0.00005918043],"about_ca_topic_score_codex":0.0011689846,"about_ca_topic_score_gemma":0.0005289135,"teacher_disagreement_score":0.0058563645,"about_ca_system_score_codex":0.00061550236,"about_ca_system_score_gemma":0.0002793478,"threshold_uncertainty_score":0.01959151},"labels":[],"label_agreement":null},{"id":"W4402260778","doi":"10.23919/acc60939.2024.10644379","title":"Observations on Noncausal Iterative-Learning-Control &amp; Transients","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Iterative learning control; Computer science; Control theory (sociology); Control (management); Iterative method; Algorithm; Artificial intelligence","score_opus":0.017581523360236495,"score_gpt":0.2375955600902593,"score_spread":0.22001403673002282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402260778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02284575,0.0009719842,0.9520712,0.0026696385,0.00024619055,0.00002194402,0.00009096585,0.00044272267,0.0206397],"genre_scores_gemma":[0.92918247,0.001999029,0.057905346,0.00075358973,0.00048213915,0.00005733082,0.00012978344,0.00021447871,0.009275869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991436,0.00016172073,0.000053940006,0.00016847791,0.0003873913,0.00008490851],"domain_scores_gemma":[0.99471813,0.003509673,0.00041582063,0.00062466675,0.0006531422,0.000078555946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014903764,0.0006607468,0.00060662325,0.0005245709,0.000523464,0.0013317695,0.000901199,0.0014592307,0.0046684095],"category_scores_gemma":[0.008863535,0.00035899627,0.0005372705,0.0005045352,0.002338293,0.0024829179,0.0008051183,0.003329571,0.00076445844],"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":[0.00014822267,0.00007330552,0.0009114115,0.00023059535,0.000027420501,0.0004441825,0.00038737076,0.23637512,0.008726963,0.70751977,0.0053306627,0.03982489],"study_design_scores_gemma":[0.000024120753,0.000055888617,0.0007130999,0.000043005184,0.000010572182,0.00020988306,0.000036480866,0.63697296,0.0071734795,0.34759885,0.007122616,0.000038990955],"about_ca_topic_score_codex":0.0012264887,"about_ca_topic_score_gemma":0.00069049967,"teacher_disagreement_score":0.0046684095,"about_ca_system_score_codex":0.00074902095,"about_ca_system_score_gemma":0.00038974595,"threshold_uncertainty_score":0.01561743},"labels":[],"label_agreement":null},{"id":"W4402288845","doi":"10.23919/acc60939.2024.10645004","title":"On Precision Motion Control for an Industrial Long-Stroke Motion System with a Nonlinear Micropositioning Actuator","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Actuator; Motion (physics); Control theory (sociology); Nonlinear system; Motion control; Pneumatic actuator; Stroke (engine); Control engineering; Computer science; Control (management); Engineering; Artificial intelligence; Physics; Mechanical engineering; Robot","score_opus":0.011055958770064343,"score_gpt":0.22722649879099518,"score_spread":0.21617054002093083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402288845","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0809664,0.00081511243,0.9149296,0.000120324854,0.000046183843,0.00004365906,0.00001135298,0.000113778304,0.0029536185],"genre_scores_gemma":[0.9524464,0.0004872164,0.044274073,0.000041469215,0.000030090161,0.000044417608,0.000015764785,0.000008275908,0.0026523585],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987864,0.000020616073,0.0000080173295,0.000031727122,0.000049581762,0.000011444475],"domain_scores_gemma":[0.99982077,0.000086728505,0.00003527468,0.000019803441,0.000032072356,0.0000054182574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021300836,0.00032911723,0.00023182674,0.000105765896,0.00018474228,0.00022971578,0.00029613494,0.00030879464,0.00081817526],"category_scores_gemma":[0.00047786685,0.00007814038,0.00017816578,0.0001356039,0.0003180129,0.00023048211,0.00024482966,0.0003154706,0.00010740752],"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":[0.00022467085,0.00009717228,0.00086390227,0.00058138353,0.00006580883,0.0002761308,0.00038273932,0.23962829,0.46721834,0.01317573,0.0005910457,0.27689466],"study_design_scores_gemma":[0.000018406645,0.00067804276,0.0013734736,0.000018006029,0.000028059287,0.00012462668,0.000028742123,0.9486418,0.045371853,0.0010238253,0.0026766981,0.000016485486],"about_ca_topic_score_codex":0.00095151435,"about_ca_topic_score_gemma":0.0010481721,"teacher_disagreement_score":0.00095151435,"about_ca_system_score_codex":0.0001555359,"about_ca_system_score_gemma":0.00024811606,"threshold_uncertainty_score":0.0027370453},"labels":[],"label_agreement":null},{"id":"W4402298973","doi":"10.1016/j.ifacol.2024.08.396","title":"A Virtual Cycle-based Iterative learning Control Framework for Repetitive System with Randomly Varying Initial State","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Iterative learning control; Repetitive control; Computer science; Control (management); State (computer science); Learning cycle; Control theory (sociology); Control system; Artificial intelligence; Mathematics; Algorithm; Engineering; Mathematics education","score_opus":0.0057775176730057685,"score_gpt":0.23682355508027014,"score_spread":0.23104603740726437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402298973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004152285,0.00013288918,0.99353033,0.00007719055,0.000018724097,0.00002846992,0.000010714613,0.00012335861,0.0019261031],"genre_scores_gemma":[0.84620535,0.0002688214,0.14889824,0.00012682418,0.000052952244,0.000284878,0.00007257399,0.00006656119,0.0040237317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995234,0.000115350485,0.000023484967,0.00012609144,0.00014204465,0.00006968659],"domain_scores_gemma":[0.9992525,0.00031327351,0.00013571528,0.000059610407,0.00019523257,0.00004371534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013703561,0.0008645954,0.0008219108,0.0005095313,0.0005263629,0.00080792117,0.0016792406,0.0010160673,0.0019771229],"category_scores_gemma":[0.0020564545,0.0003579884,0.00057606027,0.00048737513,0.0015295285,0.0008008105,0.0012112528,0.0012604168,0.00027286753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002907814,0.000023606995,0.00014727496,0.00005487163,0.0000130910175,0.000046409474,0.000080331665,0.95263594,0.0018538518,0.019868148,0.0004463626,0.024801051],"study_design_scores_gemma":[0.0000031342952,0.000027905688,0.000018221217,0.0000032363462,0.0000019509225,0.000006937649,0.0000023610305,0.99737996,0.00026835522,0.0020173131,0.0002664747,0.000004125851],"about_ca_topic_score_codex":0.006870487,"about_ca_topic_score_gemma":0.004366949,"teacher_disagreement_score":0.006870487,"about_ca_system_score_codex":0.0009975443,"about_ca_system_score_gemma":0.0015144525,"threshold_uncertainty_score":0.013660967},"labels":[],"label_agreement":null},{"id":"W4402437156","doi":"10.1109/ccta60707.2024.10666652","title":"Iterative Learning Control for Melt Pool Depth Consistency in Directed Energy Deposition","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deposition (geology); Iterative learning control; Consistency (knowledge bases); Computer science; Energy (signal processing); Control (management); Materials science; Geology; Artificial intelligence; Mathematics; Geomorphology; Statistics","score_opus":0.00560932214788766,"score_gpt":0.21644905882002846,"score_spread":0.2108397366721408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402437156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06803225,0.00024187153,0.9283462,0.00013504714,0.00003397632,0.00004528701,0.000017171267,0.00021780055,0.002930388],"genre_scores_gemma":[0.9814782,0.000057303125,0.017527184,0.00003403303,0.000008868602,0.000054242802,0.000013500195,0.000012739985,0.0008139055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999549,0.00008316191,0.000024694082,0.0001385229,0.00012302824,0.00008162515],"domain_scores_gemma":[0.99870443,0.00066587585,0.00025633234,0.000067628054,0.00025508448,0.000050539806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011285035,0.0006656798,0.00064621837,0.00031886963,0.00037126828,0.0010309657,0.0009659856,0.0006548479,0.0008586191],"category_scores_gemma":[0.0026829115,0.00030488,0.0004556207,0.0002150796,0.0009237164,0.0004914637,0.0012467627,0.00079786766,0.00012309819],"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":[0.00009509732,0.000060982202,0.00056891097,0.000072413044,0.000024338959,0.00005591896,0.00009919036,0.9517564,0.010486626,0.004842137,0.0002362783,0.03170171],"study_design_scores_gemma":[0.000006976405,0.000043791475,0.00007801956,0.0000029609084,0.000003541426,0.0000056259914,0.0000029528267,0.99785703,0.0011607482,0.0007116628,0.00012282806,0.0000038251646],"about_ca_topic_score_codex":0.003870632,"about_ca_topic_score_gemma":0.0028084167,"teacher_disagreement_score":0.003870632,"about_ca_system_score_codex":0.0007404291,"about_ca_system_score_gemma":0.00091265986,"threshold_uncertainty_score":0.0076962113},"labels":[],"label_agreement":null},{"id":"W4402641642","doi":"10.1016/j.ifacol.2024.08.556","title":"Output-Only Identification of Lur’e Systems with Prandtl-Ishlinskii Hysteresis Nonlinearities","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Hysteresis; Identification (biology); Prandtl number; Control theory (sociology); Mathematics; Computer science; Physics; Artificial intelligence; Mechanics; Condensed matter physics; Convection; Biology; Control (management)","score_opus":0.006684151401345677,"score_gpt":0.20907505560680167,"score_spread":0.202390904205456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402641642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10111255,0.00020307708,0.8945203,0.00013530819,0.000018731787,0.00005935388,0.000026090873,0.0004070563,0.0035175704],"genre_scores_gemma":[0.96218425,0.000072826646,0.03610593,0.000033667977,0.0000058159367,0.00005728164,0.000033605804,0.000019250305,0.0014873265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973863,0.00007127536,0.000020314365,0.000064395106,0.00006994404,0.000035453722],"domain_scores_gemma":[0.99926955,0.0003451957,0.00016124583,0.00007129928,0.00013727629,0.00001542611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388692,0.0005071546,0.00066612026,0.00028541588,0.00039168017,0.000565499,0.00048987067,0.00072729663,0.0008692146],"category_scores_gemma":[0.0019369711,0.0002564765,0.00030937928,0.00019918295,0.0005822964,0.00060069206,0.0007307241,0.0005333582,0.00020347083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018623043,0.00008127027,0.0034165522,0.00030985274,0.00006918577,0.00048912107,0.00060289825,0.83512586,0.040001705,0.0121304905,0.00045614515,0.10713062],"study_design_scores_gemma":[0.0000073394085,0.00004811528,0.00052753004,0.00000961988,0.0000049145865,0.000055205226,0.0000232306,0.99277264,0.0048595476,0.0013207837,0.00036199673,0.000009085876],"about_ca_topic_score_codex":0.0028921058,"about_ca_topic_score_gemma":0.0026339542,"teacher_disagreement_score":0.0028921058,"about_ca_system_score_codex":0.00027891507,"about_ca_system_score_gemma":0.00049033714,"threshold_uncertainty_score":0.0057504773},"labels":[],"label_agreement":null},{"id":"W4402661714","doi":"10.1249/01.mss.0001057724.45919.f9","title":"Vertical Takeoff Acceleration As A Predictor Of Single Leg Jump Performance","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Takeoff; Acceleration; Jump; Vertical jump; Environmental science; Mechanics; Aeronautics; Aerospace engineering; Engineering; Physics; Classical mechanics","score_opus":0.012510115789607873,"score_gpt":0.24761923435152164,"score_spread":0.23510911856191377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402661714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999514,0.00009235532,0.00007119902,0.00001460397,0.0000058262854,0.000004611442,0.000081752005,0.0000038429635,0.00021175029],"genre_scores_gemma":[0.9995148,0.00004722066,0.00006109712,0.00000410361,0.0000066035373,0.0000039890015,0.00015598707,0.0000012493217,0.00020492187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998493,0.000032761927,0.000016706877,0.000023364551,0.00004440757,0.00003337094],"domain_scores_gemma":[0.9988944,0.0003399137,0.00030386748,0.000038192673,0.00015134538,0.00027225752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033634255,0.0003469265,0.00022520217,0.0004660428,0.00018991162,0.00035270245,0.00017744608,0.00041019634,0.0026927795],"category_scores_gemma":[0.001691308,0.00015804512,0.0002478061,0.0003136541,0.00012526881,0.00018297309,0.00030657786,0.00039026796,0.00039059253],"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":[0.00017572448,0.00006131811,0.9976852,0.000009648978,0.000031413947,0.000033229488,0.000021497048,0.000049782997,0.00040430605,0.000004889603,0.00004078151,0.0014821212],"study_design_scores_gemma":[0.0000044822777,0.00023549028,0.99923646,0.000004674488,0.000014014569,0.00005613151,0.00005616819,0.0002969317,0.000049035265,0.000005657901,0.00003949616,0.0000013770142],"about_ca_topic_score_codex":0.002730928,"about_ca_topic_score_gemma":0.003442518,"teacher_disagreement_score":0.002730928,"about_ca_system_score_codex":0.000064859836,"about_ca_system_score_gemma":0.00016856482,"threshold_uncertainty_score":0.009008288},"labels":[],"label_agreement":null},{"id":"W4403222660","doi":"10.1088/1361-6501/ad8474","title":"Algorithm for extracting the normal cross-section parameters of multiple ball screw shaft ball tracks based on an optical micrometer measurement system","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Ball (mathematics); Ball screw; Micrometer; Optics; Materials science; Geometry; Physics; Acoustics; Mathematics","score_opus":0.02859757825966855,"score_gpt":0.2562784856724883,"score_spread":0.22768090741281974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403222660","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008096282,0.00004323726,0.9899394,0.000042128264,0.000021457952,0.000062811465,0.000020618128,0.0011161836,0.0006577891],"genre_scores_gemma":[0.2303545,0.000121350895,0.7658121,0.00007311534,0.00003194048,0.00031015536,0.00014403714,0.00010733022,0.0030454488],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991615,0.00006740031,0.00006321453,0.00023744194,0.00042468423,0.000045786484],"domain_scores_gemma":[0.9993331,0.00010514902,0.000106483785,0.00006544454,0.00036264907,0.000027115468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279419,0.00079117407,0.0006936415,0.0011424995,0.00069031515,0.0009370003,0.0010045484,0.00065381435,0.002648253],"category_scores_gemma":[0.0015212304,0.00053579663,0.00047671853,0.0008401273,0.00038968335,0.0008623999,0.0008086486,0.0007098192,0.0011312417],"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":[0.0002188561,0.00009169047,0.0033124809,0.00020266049,0.00005766638,0.00014553926,0.00025326328,0.058508836,0.106800444,0.004619939,0.002615215,0.8231735],"study_design_scores_gemma":[0.000048362617,0.00013552046,0.003130958,0.000020928326,0.000039421706,0.00032385872,0.00007311115,0.94573545,0.044061244,0.0017374366,0.0046464056,0.000047268793],"about_ca_topic_score_codex":0.0047005,"about_ca_topic_score_gemma":0.0042985715,"teacher_disagreement_score":0.0047005,"about_ca_system_score_codex":0.00080343254,"about_ca_system_score_gemma":0.0018635952,"threshold_uncertainty_score":0.009346306},"labels":[],"label_agreement":null},{"id":"W4403635956","doi":"10.1109/tie.2024.3472216","title":"Ultrafast Transient Response in 48 V Automotive VRMs: An Auxiliary-Assisted Adaptive Slew-Rate Control Scheme","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; NXP Semiconductors","keywords":"Slew rate; Control theory (sociology); Transient response; Transient (computer programming); Ultrashort pulse; Automotive industry; Adaptive control; Computer science; Engineering; Voltage; Physics; Control (management); Electrical engineering","score_opus":0.02102404087178678,"score_gpt":0.24303650294570608,"score_spread":0.2220124620739193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403635956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58940864,0.00092388195,0.39135945,0.000312536,0.00013559144,0.00009344898,0.00015499286,0.0020388595,0.015572574],"genre_scores_gemma":[0.98624414,0.000095361494,0.01093285,0.000057194666,0.000017182912,0.0000226452,0.000032488526,0.000031508815,0.0025666372],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998714,0.000014289769,0.000005219217,0.000030273895,0.000056691224,0.000022047823],"domain_scores_gemma":[0.999915,0.000017676377,0.000018750683,0.000014562215,0.000027520455,0.000006522571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015709571,0.00022175527,0.0002038036,0.00016315156,0.0001303244,0.00027147174,0.00071973633,0.00024407428,0.0018211883],"category_scores_gemma":[0.00022618535,0.00009891946,0.00016042432,0.00013337955,0.00017038063,0.0004061814,0.0002116578,0.00030441472,0.00041935756],"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":[0.00020083557,0.00003821542,0.00050603563,0.00010866147,0.000012805226,0.0001259075,0.00017828496,0.004172181,0.9429283,0.0027198645,0.00067401695,0.048334904],"study_design_scores_gemma":[0.000049748094,0.0005620516,0.0019632108,0.00002427411,0.000024417272,0.00044541262,0.00008510315,0.17732407,0.8011983,0.0012456644,0.017040653,0.000036975252],"about_ca_topic_score_codex":0.00026036534,"about_ca_topic_score_gemma":0.0004810294,"teacher_disagreement_score":0.0018211883,"about_ca_system_score_codex":0.00022667434,"about_ca_system_score_gemma":0.000095015326,"threshold_uncertainty_score":0.0060924888},"labels":[],"label_agreement":null},{"id":"W4404471759","doi":"10.1177/17298806241283228","title":"Adaptive iterative learning control for enhancing the dynamic path tracking accuracy of 6-degrees of freedom industrial robots","year":2024,"lang":"en","type":"article","venue":"International Journal of Advanced Robotic Systems","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Iterative learning control; Degrees of freedom (physics and chemistry); Robot; Path (computing); Tracking (education); Artificial intelligence; Control (management); Control theory (sociology); Control engineering","score_opus":0.016634457838936,"score_gpt":0.27158356067749034,"score_spread":0.2549491028385543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404471759","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036834348,0.00027456094,0.9606312,0.00005143947,0.000035852157,0.0000324373,0.00000557249,0.0003631602,0.0017714541],"genre_scores_gemma":[0.8766046,0.00015871212,0.12144871,0.000050557148,0.000031450796,0.000056072615,0.00002183902,0.000021720503,0.0016063773],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995278,0.000076714976,0.00003130732,0.000086204775,0.0002339205,0.000043993583],"domain_scores_gemma":[0.99942267,0.00016905973,0.00013036978,0.000055650962,0.00019859594,0.00002375426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006500983,0.0004952578,0.00029457378,0.00036754785,0.0003135103,0.00028744078,0.00082420604,0.00032758398,0.0007105421],"category_scores_gemma":[0.0013969005,0.00015236929,0.00022137606,0.00031610523,0.00048295077,0.0005407984,0.0006018259,0.00052152266,0.00015515552],"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":[0.0002785902,0.00010994004,0.0015525676,0.00021937833,0.000041321786,0.00013596253,0.0004915297,0.4027208,0.08798484,0.0063152704,0.0010011687,0.49914858],"study_design_scores_gemma":[0.000020364,0.00022160202,0.0005264815,0.0000102047225,0.00000864692,0.000056582852,0.0000120515615,0.9843093,0.012211528,0.0010773906,0.0015285072,0.000017212762],"about_ca_topic_score_codex":0.0021403977,"about_ca_topic_score_gemma":0.0017756907,"teacher_disagreement_score":0.0021403977,"about_ca_system_score_codex":0.00031733056,"about_ca_system_score_gemma":0.00042783978,"threshold_uncertainty_score":0.004255891},"labels":[],"label_agreement":null},{"id":"W4405267288","doi":"10.1063/5.0222477","title":"Parameter sensitivity test of bert model based on vPipe","year":2024,"lang":"en","type":"article","venue":"AIP conference proceedings","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":"Simon Fraser University","funders":"","keywords":"Sensitivity (control systems); Computer science; Test (biology); Engineering; Geology; Electronic engineering","score_opus":0.015226128755752475,"score_gpt":0.2280892622915971,"score_spread":0.21286313353584463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405267288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8077448,0.00035583499,0.17458786,0.00036747227,0.00010662168,0.000064302054,0.0004566278,0.0014630286,0.014853539],"genre_scores_gemma":[0.9981933,0.000019058518,0.0011635538,0.000011583621,0.0000017696676,0.000007565491,0.000102798724,0.000017311258,0.00048294215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999587,0.00011341622,0.000018677703,0.000086892825,0.000102139595,0.00009190087],"domain_scores_gemma":[0.99867356,0.00086427113,0.000080231956,0.0001404045,0.00020591688,0.000035558438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008228084,0.00067664555,0.00057392917,0.000602293,0.0004041683,0.0008803655,0.0006779368,0.0009990247,0.0033284621],"category_scores_gemma":[0.0036226043,0.00032878452,0.00075912237,0.00025208888,0.00048270062,0.0009533419,0.00076900417,0.0010445212,0.00027812694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004560748,0.000075519034,0.0022895134,0.00011544989,0.000071112576,0.000184478,0.000045959812,0.98091954,0.006070915,0.0025385707,0.00039465583,0.006838236],"study_design_scores_gemma":[0.000010007284,0.000056492623,0.0011240832,0.0000056991735,0.000011323399,0.000025105104,0.000018807337,0.9946398,0.003481821,0.00051337737,0.000103018705,0.000010482065],"about_ca_topic_score_codex":0.014230939,"about_ca_topic_score_gemma":0.0047726417,"teacher_disagreement_score":0.014230939,"about_ca_system_score_codex":0.00041876512,"about_ca_system_score_gemma":0.0005839766,"threshold_uncertainty_score":0.028296232},"labels":[],"label_agreement":null},{"id":"W4405305885","doi":"10.1109/indin58382.2024.10774295","title":"Deep-Recurrent-Neural-Network-Based Adaptive Sliding Mode Control for a 6-DOF Serial Robot","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial neural network; Robot control; Robot; Mode (computer interface); Sliding mode control; Recurrent neural network; Artificial intelligence; Adaptive control; Control theory (sociology); Control (management); Mobile robot; Control engineering; Engineering; Human–computer interaction; Physics","score_opus":0.014053250993567213,"score_gpt":0.24350788900312836,"score_spread":0.22945463800956115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405305885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062080353,0.0007330734,0.93216556,0.00019233082,0.00009962237,0.000037770864,0.000035030018,0.0006364389,0.0040198597],"genre_scores_gemma":[0.9594926,0.00022023659,0.037518263,0.000050009345,0.000020932323,0.00005158589,0.000053010142,0.000014039218,0.00257942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998419,0.00002488397,0.000014365852,0.000049095823,0.00004871343,0.000020842494],"domain_scores_gemma":[0.99983954,0.000035752375,0.000035869754,0.000020703572,0.000059293514,0.000008864775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043573667,0.00051717955,0.00043398587,0.00018908606,0.00026547594,0.00033534822,0.0007560458,0.00050773553,0.0008509053],"category_scores_gemma":[0.0005493692,0.00023341832,0.0004215751,0.00020536256,0.0003634544,0.0003873901,0.00047611134,0.00056824513,0.00013979542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009964306,0.000041117502,0.00082173,0.00011820804,0.000057950092,0.000156161,0.000098100485,0.88418573,0.018818425,0.0037250693,0.00084667205,0.09103114],"study_design_scores_gemma":[0.0000035857743,0.000034362118,0.00009342507,0.000002525228,0.0000050374174,0.000009774075,0.0000024038764,0.9984963,0.00092428835,0.00023402186,0.0001914853,0.0000028613053],"about_ca_topic_score_codex":0.008114808,"about_ca_topic_score_gemma":0.0069715953,"teacher_disagreement_score":0.008114808,"about_ca_system_score_codex":0.0003628406,"about_ca_system_score_gemma":0.0006482343,"threshold_uncertainty_score":0.016135156},"labels":[],"label_agreement":null},{"id":"W4406131155","doi":"10.18280/jesa.570622","title":"Three-Phase PWM Rectifier Control: Enhanced Direct Power Control with Neural Networks from Theory to Superior Reality Performance","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PWM rectifier; Rectifier (neural networks); Pulse-width modulation; Control theory (sociology); Control (management); Artificial neural network; Power control; Power (physics); Computer science; Phase (matter); Three-phase; Engineering; Physics; Electrical engineering; Artificial intelligence; Voltage; Recurrent neural network; Types of artificial neural networks","score_opus":0.008742443921106255,"score_gpt":0.236723513503159,"score_spread":0.22798106958205275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406131155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061457653,0.00045541054,0.92278457,0.00021090377,0.0000676706,0.000033488865,0.000014997987,0.0001829877,0.014792358],"genre_scores_gemma":[0.9646158,0.0001667705,0.03257095,0.000029767174,0.000019188456,0.000019384375,0.0000149316475,0.000018420373,0.0025448021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998758,0.000034321984,0.000009235434,0.000025659981,0.00004446753,0.0000105312265],"domain_scores_gemma":[0.99977237,0.00010830711,0.000026059482,0.000025121892,0.000061081344,0.000006922238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148327,0.00025262687,0.0002546335,0.00011652099,0.00016446733,0.00061298034,0.0003730543,0.00040698957,0.0014851629],"category_scores_gemma":[0.0008664098,0.00010907629,0.00018690868,0.0001768382,0.00028880767,0.00055288296,0.0004036739,0.0005104377,0.00018500052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045939334,0.00017723998,0.0007336637,0.0003751836,0.00006528583,0.00010503826,0.00017757023,0.5440248,0.059807524,0.041006707,0.0011908123,0.3518767],"study_design_scores_gemma":[0.000011682751,0.000081721904,0.00023439602,0.000007670853,0.000008244423,0.000020878344,0.0000047482104,0.9921112,0.004389558,0.0025668854,0.00055779243,0.00000525086],"about_ca_topic_score_codex":0.001252647,"about_ca_topic_score_gemma":0.0012666284,"teacher_disagreement_score":0.0014851629,"about_ca_system_score_codex":0.00020583463,"about_ca_system_score_gemma":0.00022595108,"threshold_uncertainty_score":0.004968405},"labels":[],"label_agreement":null},{"id":"W4406131348","doi":"10.18280/ijcmem.570622","title":"Three-Phase PWM Rectifier Control: Enhanced Direct Power Control with Neural Networks from Theory to Superior Reality Performance","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PWM rectifier; Rectifier (neural networks); Control (management); Pulse-width modulation; Control theory (sociology); Artificial neural network; Power control; Computer science; Three-phase; Power (physics); Phase (matter); Engineering; Electrical engineering; Physics; Artificial intelligence; Voltage; Recurrent neural network","score_opus":0.008742443921106255,"score_gpt":0.236723513503159,"score_spread":0.22798106958205275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406131348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061457653,0.00045541054,0.92278457,0.00021090377,0.0000676706,0.000033488865,0.000014997987,0.0001829877,0.014792358],"genre_scores_gemma":[0.9646158,0.0001667705,0.03257095,0.000029767174,0.000019188456,0.000019384375,0.0000149316475,0.000018420373,0.0025448021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998758,0.000034321984,0.000009235434,0.000025659981,0.00004446753,0.0000105312265],"domain_scores_gemma":[0.99977237,0.00010830711,0.000026059482,0.000025121892,0.000061081344,0.000006922238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148327,0.00025262687,0.0002546335,0.00011652099,0.00016446733,0.00061298034,0.0003730543,0.00040698957,0.0014851629],"category_scores_gemma":[0.0008664098,0.00010907629,0.00018690868,0.0001768382,0.00028880767,0.00055288296,0.0004036739,0.0005104377,0.00018500052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045939334,0.00017723998,0.0007336637,0.0003751836,0.00006528583,0.00010503826,0.00017757023,0.5440248,0.059807524,0.041006707,0.0011908123,0.3518767],"study_design_scores_gemma":[0.000011682751,0.000081721904,0.00023439602,0.000007670853,0.000008244423,0.000020878344,0.0000047482104,0.9921112,0.004389558,0.0025668854,0.00055779243,0.00000525086],"about_ca_topic_score_codex":0.001252647,"about_ca_topic_score_gemma":0.0012666284,"teacher_disagreement_score":0.0014851629,"about_ca_system_score_codex":0.00020583463,"about_ca_system_score_gemma":0.00022595108,"threshold_uncertainty_score":0.004968405},"labels":[],"label_agreement":null},{"id":"W4406138611","doi":"10.1109/esars-itec60450.2024.10819924","title":"An Improved Feature-Position-Based Sensorless Direct Torque Control Scheme for SRM Drives at Medium-High Speeds","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Torque; Direct torque control; Control theory (sociology); Position (finance); Computer science; Scheme (mathematics); Machine control; Feature (linguistics); Control (management); Physics; Control engineering; Engineering; Artificial intelligence; Induction motor; Voltage; Electrical engineering; Mathematics","score_opus":0.0038418786229401708,"score_gpt":0.22245109251961434,"score_spread":0.21860921389667418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406138611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03178371,0.00052328437,0.9636086,0.00008308836,0.00011692991,0.000060577455,0.000042458312,0.000895811,0.0028855675],"genre_scores_gemma":[0.8596101,0.00022808273,0.13707669,0.000056772868,0.00006853728,0.00006407878,0.00007868749,0.00003828359,0.0027787967],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981624,0.000018648612,0.000016122198,0.000039797935,0.00009948018,0.000009752922],"domain_scores_gemma":[0.9997869,0.000033642824,0.000047931968,0.00003836134,0.000082561615,0.000010538016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002186038,0.00036893573,0.00039014313,0.00027764344,0.00022383533,0.00030713607,0.00085098884,0.00025736887,0.0010570901],"category_scores_gemma":[0.0003963552,0.00013938705,0.00019320284,0.0002550018,0.00022623995,0.000536554,0.0002355332,0.0003756552,0.0003616783],"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":[0.0003016296,0.00013078928,0.00081612595,0.0006544209,0.000035392186,0.000253924,0.00027150614,0.037277095,0.34020287,0.007897588,0.002625395,0.6095333],"study_design_scores_gemma":[0.00013097089,0.0010695987,0.0030642531,0.000054925436,0.00003995118,0.0007166172,0.000032965647,0.8806415,0.09346289,0.0021444263,0.018582538,0.000059300997],"about_ca_topic_score_codex":0.0005207984,"about_ca_topic_score_gemma":0.001142634,"teacher_disagreement_score":0.0010570901,"about_ca_system_score_codex":0.00017033516,"about_ca_system_score_gemma":0.0002515096,"threshold_uncertainty_score":0.003536284},"labels":[],"label_agreement":null},{"id":"W4406312021","doi":"10.1109/tase.2025.3528462","title":"Compensatory Data-Driven Networked Iterative Learning Control With Communication Constraints and DoS Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Iterative learning control; Iterative method; Computer science; Fading; Control theory (sociology); Nonlinear system; Robustness (evolution); Iterative design; Data modeling; Quantization (signal processing); Control engineering; Mathematical optimization; Algorithm; Engineering; Control (management); Artificial intelligence; Decoding methods; Mathematics","score_opus":0.009693601698346013,"score_gpt":0.2397116176673756,"score_spread":0.23001801596902957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406312021","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02025635,0.00011607762,0.97724813,0.00009887853,0.000032655695,0.000029712484,0.00001373723,0.00019772453,0.0020067925],"genre_scores_gemma":[0.9679012,0.00010103796,0.0305449,0.0000631343,0.000020608586,0.000082628445,0.000028919329,0.000017369535,0.0012401396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991986,0.0001717854,0.00005751539,0.00020078004,0.00028521632,0.000086093496],"domain_scores_gemma":[0.9988404,0.00043610157,0.00022690816,0.000121808975,0.00033634654,0.000038447437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010483329,0.0007947122,0.00062101986,0.00031430396,0.00041121943,0.0007161061,0.0014099792,0.0006450929,0.0008877656],"category_scores_gemma":[0.002974112,0.00026174073,0.00048784734,0.0003749466,0.0009376303,0.0009872811,0.0012225355,0.0009800106,0.00013489755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008633773,0.000027688327,0.0007810541,0.00011405659,0.000033558266,0.00011504666,0.0001927825,0.9425788,0.0069462825,0.013379443,0.0003183769,0.03542662],"study_design_scores_gemma":[0.000004990973,0.000031461095,0.000064107524,0.0000035371863,0.0000044149815,0.000015407977,0.0000055239666,0.9976096,0.0009472906,0.0011342912,0.00017425336,0.000005152479],"about_ca_topic_score_codex":0.004350335,"about_ca_topic_score_gemma":0.0028285997,"teacher_disagreement_score":0.004350335,"about_ca_system_score_codex":0.000645712,"about_ca_system_score_gemma":0.0011931668,"threshold_uncertainty_score":0.008650005},"labels":[],"label_agreement":null},{"id":"W4406403665","doi":"10.1002/cjce.25603","title":"New design of two‐dimensional <scp>LQ</scp> control for batch processes with iterative learning error compensation","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative learning control; Compensation (psychology); Control (management); Control theory (sociology); Computer science; Mathematics; Artificial intelligence; Psychology","score_opus":0.008037061261734972,"score_gpt":0.20287567890131503,"score_spread":0.19483861763958005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406403665","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008556327,0.00012476086,0.9879089,0.00008783952,0.00005054442,0.000047803085,0.000019412562,0.00029043344,0.002913953],"genre_scores_gemma":[0.86428994,0.00014474378,0.13131292,0.00014157416,0.00004622893,0.00030242637,0.000091153044,0.00004235026,0.0036286544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992399,0.00012635477,0.000051349896,0.0001846534,0.0003277884,0.0000699858],"domain_scores_gemma":[0.9994184,0.00014664642,0.00010025455,0.000048751528,0.00025205023,0.000033966124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011419447,0.0007193338,0.0007186617,0.00039079477,0.00044497187,0.0010618329,0.0015302933,0.00082048663,0.0016487278],"category_scores_gemma":[0.001106894,0.00038687172,0.0005046771,0.00037483455,0.0007758788,0.00064465473,0.0008497345,0.0009931925,0.0003142917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018010408,0.00013621236,0.00066746486,0.00032575073,0.00007838566,0.00016171423,0.00021981158,0.8095107,0.03443194,0.016302973,0.002350699,0.13563421],"study_design_scores_gemma":[0.000010319081,0.00006113268,0.000086465,0.0000043954583,0.0000036543927,0.000011002073,0.0000032412827,0.9974039,0.0013972786,0.0004252593,0.0005865344,0.0000067537767],"about_ca_topic_score_codex":0.006122224,"about_ca_topic_score_gemma":0.0032126247,"teacher_disagreement_score":0.006122224,"about_ca_system_score_codex":0.00075962784,"about_ca_system_score_gemma":0.0014567982,"threshold_uncertainty_score":0.012173176},"labels":[],"label_agreement":null},{"id":"W4406418893","doi":"10.1016/j.jfranklin.2025.107517","title":"Dynamic sliding mode control for ball screw drive systems under a disturbance observer scheme","year":2025,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Major Science and Technology Projects of China; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Control theory (sociology); Sliding mode control; Ball screw; Disturbance (geology); Observer (physics); Ball (mathematics); Scheme (mathematics); Control engineering; Mode (computer interface); Computer science; Engineering; Control (management); Physics; Mechanical engineering; Mathematics; Geology; Artificial intelligence; Nonlinear system","score_opus":0.008616737717376956,"score_gpt":0.24417716209558002,"score_spread":0.23556042437820307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406418893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0617523,0.0002370079,0.93284327,0.0001270736,0.00011313935,0.000043022912,0.000027918624,0.00029295642,0.004563377],"genre_scores_gemma":[0.9856485,0.00010796752,0.011783342,0.00001879405,0.000018043562,0.000044321278,0.000024345234,0.000011531636,0.0023431873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999783,0.000052937427,0.000015195507,0.0000428776,0.00007884149,0.000027225384],"domain_scores_gemma":[0.99972683,0.00008095385,0.000049745107,0.00003140974,0.000099630684,0.000011442301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050939363,0.00052620214,0.0006304558,0.00023299808,0.00031423327,0.0007977244,0.00060548366,0.00051816937,0.0014442282],"category_scores_gemma":[0.0009020533,0.00018312773,0.00025503486,0.00025109533,0.00064325694,0.0005727627,0.0006106709,0.00046396285,0.00020995874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009295731,0.00016051262,0.0009524858,0.00040513626,0.00009598092,0.000286542,0.0005374797,0.7616992,0.050271258,0.04871467,0.002262804,0.13368429],"study_design_scores_gemma":[0.000024934747,0.00015220931,0.00019969812,0.000004970388,0.000007537052,0.000013513673,0.000009327551,0.9959254,0.0016228075,0.0015815526,0.0004521779,0.0000058315413],"about_ca_topic_score_codex":0.004373333,"about_ca_topic_score_gemma":0.003669987,"teacher_disagreement_score":0.004373333,"about_ca_system_score_codex":0.0003527275,"about_ca_system_score_gemma":0.0005224917,"threshold_uncertainty_score":0.008695781},"labels":[],"label_agreement":null},{"id":"W4407099585","doi":"10.1016/j.prime.2025.100915","title":"Hybrid control strategy using iterative learning and state-dependent Riccati equation for enhanced precision in parallel delta robots","year":2025,"lang":"en","type":"article","venue":"e-Prime - Advances in Electrical Engineering Electronics and Energy","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Riccati equation; Iterative learning control; Algebraic Riccati equation; Control (management); Computer science; Control theory (sociology); State (computer science); Robot; Artificial intelligence; Mathematics; Algorithm; Differential equation; Mathematical analysis","score_opus":0.004530416615731977,"score_gpt":0.23802032067948634,"score_spread":0.23348990406375436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407099585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0122367125,0.00021054498,0.98403144,0.00007613626,0.00003622438,0.000046008066,0.000009260949,0.00035910157,0.0029946617],"genre_scores_gemma":[0.8601801,0.00024580077,0.13447937,0.00011535094,0.000037931328,0.0001812921,0.00005530863,0.000040835188,0.00466397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967635,0.00004908643,0.000022594093,0.00007952832,0.00013530417,0.000037136186],"domain_scores_gemma":[0.9996606,0.00008044149,0.000068447785,0.00004263473,0.00013202352,0.000015836817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005333483,0.0005795548,0.0005445342,0.00037568563,0.0003195041,0.000559227,0.00085949746,0.00050656084,0.0013396135],"category_scores_gemma":[0.00063523726,0.00028090083,0.0004441208,0.00027840017,0.00042902213,0.00049387466,0.00080360833,0.0006395613,0.00032173365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001777636,0.00015512656,0.0010902486,0.00032480885,0.00008050646,0.000313316,0.0002347424,0.71515024,0.059865396,0.014461265,0.0019689654,0.20617765],"study_design_scores_gemma":[0.000016651235,0.00012474952,0.00017144885,0.000008346649,0.000010611822,0.000045132234,0.0000089638925,0.9920202,0.0049105273,0.0010901861,0.0015808818,0.00001233442],"about_ca_topic_score_codex":0.002515631,"about_ca_topic_score_gemma":0.0024522464,"teacher_disagreement_score":0.002515631,"about_ca_system_score_codex":0.00038185102,"about_ca_system_score_gemma":0.0007317014,"threshold_uncertainty_score":0.005001962},"labels":[],"label_agreement":null},{"id":"W4407851803","doi":"10.1109/tim.2025.3544357","title":"Advanced Control Techniques for Precision Measurement in Electrical Machine Test Benches: Fast Dynamic and Robust Emulation of Nonlinear Load Dynamics","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Niroo Research Institute","keywords":"Emulation; Nonlinear system; Computer science; Vehicle dynamics; Dynamics (music); Engineering; Simulation; Automotive engineering; Physics; Acoustics","score_opus":0.010919414877798028,"score_gpt":0.24049287861560134,"score_spread":0.22957346373780332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407851803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02591861,0.0006536432,0.9699655,0.00011898075,0.000071074304,0.000079317855,0.000035060537,0.0011425187,0.0020153273],"genre_scores_gemma":[0.8825526,0.0003990048,0.11485705,0.00008258199,0.00003541778,0.00017089582,0.00008216696,0.00008061861,0.0017396546],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820685,0.00024665715,0.00006575356,0.00015089974,0.0012833409,0.00004645644],"domain_scores_gemma":[0.9985507,0.00059264293,0.00023292708,0.0002757857,0.00032484124,0.00002298978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013508114,0.00047832233,0.00049110234,0.00061553024,0.00026222458,0.0006924424,0.0009403922,0.0006343688,0.001187772],"category_scores_gemma":[0.0032499016,0.00023667878,0.0002560328,0.00042667214,0.0006907083,0.0007452431,0.000638644,0.00096688926,0.00029543444],"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":[0.00035389364,0.00020587187,0.001933458,0.0010362422,0.0000724319,0.0001994669,0.00049875525,0.0971144,0.42844173,0.010839361,0.0016614072,0.45764303],"study_design_scores_gemma":[0.000052693016,0.00071560376,0.0034929365,0.000112917834,0.000026367714,0.00030768372,0.00007483263,0.71298563,0.27021694,0.0032991515,0.008640988,0.00007427591],"about_ca_topic_score_codex":0.0009326218,"about_ca_topic_score_gemma":0.0010479884,"teacher_disagreement_score":0.0013508114,"about_ca_system_score_codex":0.00042021915,"about_ca_system_score_gemma":0.000458522,"threshold_uncertainty_score":0.007143855},"labels":[],"label_agreement":null},{"id":"W4408281953","doi":"10.1109/iecon55916.2024.10905129","title":"Coordinated Control for High-Power Back-to-Back Inverter Testing with Wide Power Factor and Frequency Range","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Power factor; Power (physics); Power control; Inverter; Electrical engineering; Range (aeronautics); Control (management); Factor (programming language); Computer science; Engineering; Voltage; Physics; Artificial intelligence","score_opus":0.00908280697589919,"score_gpt":0.20200537822313525,"score_spread":0.19292257124723605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408281953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041774224,0.00014143754,0.95298713,0.000052205036,0.000034642617,0.0000734853,0.000017237653,0.0008063393,0.004113305],"genre_scores_gemma":[0.9737008,0.00003812739,0.025487972,0.000024438279,0.000008458757,0.000059200705,0.000015586447,0.000021856999,0.0006435293],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932814,0.00010512754,0.000029712595,0.0001639813,0.00031494725,0.000058155136],"domain_scores_gemma":[0.9994778,0.00015113785,0.00015113511,0.000073916606,0.00011707631,0.000029001865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004375761,0.0006169395,0.000577856,0.00042913153,0.00037394903,0.0008489054,0.0007567216,0.00034284033,0.0012048038],"category_scores_gemma":[0.0008433082,0.00017371368,0.00029024,0.00031307156,0.0004629311,0.0005599881,0.0005961239,0.00051546807,0.000249653],"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":[0.0005010379,0.0005355524,0.0032935939,0.00040041807,0.00009465909,0.00036530488,0.00055440224,0.2859198,0.15742019,0.009720078,0.0023715945,0.5388233],"study_design_scores_gemma":[0.00006262668,0.0008393285,0.0020046995,0.000029940024,0.000040857452,0.00016591372,0.000059990736,0.9490363,0.04172935,0.003071883,0.0029321928,0.000026908287],"about_ca_topic_score_codex":0.0017324687,"about_ca_topic_score_gemma":0.002508733,"teacher_disagreement_score":0.0017324687,"about_ca_system_score_codex":0.00049337494,"about_ca_system_score_gemma":0.0005113115,"threshold_uncertainty_score":0.0040305257},"labels":[],"label_agreement":null},{"id":"W4408323957","doi":"10.1002/cjce.25666","title":"Robust optimal iterative learning control for constrained batch processes with nonuniform batch lengths","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative learning control; Robustness (evolution); Mathematical optimization; Control theory (sociology); Computer science; Batch processing; Regular polygon; Linear matrix inequality; Optimization problem; Iterative method; Convex optimization; Ellipsoid; Robust control; Control (management); Mathematics; Control system; Engineering; Artificial intelligence","score_opus":0.0051998430866018845,"score_gpt":0.17944573579076153,"score_spread":0.17424589270415966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408323957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046473727,0.00019519283,0.9505631,0.00011690718,0.000028950304,0.0000570021,0.000036396825,0.0001637786,0.002364935],"genre_scores_gemma":[0.96191436,0.00009304503,0.03643495,0.0000356943,0.000015322848,0.00010411947,0.000043462598,0.000015980611,0.0013430474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917656,0.00014895154,0.00005340937,0.00026829002,0.00022335509,0.00012952296],"domain_scores_gemma":[0.9980736,0.0009346873,0.000500763,0.00010274111,0.00033907482,0.000049090148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015342114,0.00095123646,0.00097527745,0.0003282333,0.0005104907,0.00094275066,0.0010189387,0.00070218946,0.0010772727],"category_scores_gemma":[0.0030492668,0.0003490404,0.00049620686,0.00054146093,0.0011694641,0.00066954637,0.0009599943,0.0009802935,0.00013007337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008008617,0.000030428339,0.00022581079,0.000051018225,0.000011945573,0.000034359,0.00003913767,0.98180926,0.0033319122,0.0029552935,0.00013926375,0.01129136],"study_design_scores_gemma":[0.0000051071365,0.000025199604,0.000050992985,0.0000017042638,0.0000018470415,0.0000022182853,0.000002548786,0.9986029,0.000808527,0.00042486456,0.00007118155,0.0000028895277],"about_ca_topic_score_codex":0.011605749,"about_ca_topic_score_gemma":0.0048946473,"teacher_disagreement_score":0.011605749,"about_ca_system_score_codex":0.0012600146,"about_ca_system_score_gemma":0.0015628865,"threshold_uncertainty_score":0.023076355},"labels":[],"label_agreement":null},{"id":"W4408709619","doi":"10.1109/access.2025.3553592","title":"Extended Kalman Filter-Based State Estimation and Adaptive Control of Cable-Driven Parallel Robots","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Kalman filter; Computer science; Control theory (sociology); Robot; State (computer science); Moving horizon estimation; Estimation; Extended Kalman filter; Control (management); Adaptive control; Control engineering; Artificial intelligence; Engineering; Algorithm","score_opus":0.013574111905853205,"score_gpt":0.2652392195424385,"score_spread":0.2516651076365853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408709619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015489011,0.0002209746,0.9817986,0.000059180296,0.00004339545,0.00002209787,0.000016826027,0.000311491,0.0020384185],"genre_scores_gemma":[0.9522116,0.00033905113,0.04415304,0.000040441126,0.00004114805,0.00010790957,0.00006327218,0.000023423594,0.0030201925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965394,0.000053365427,0.000023853912,0.00009990705,0.0001368801,0.00003203311],"domain_scores_gemma":[0.9995571,0.00013571989,0.00010989129,0.000027145456,0.00015819004,0.000011967664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005529671,0.0005019526,0.00040921874,0.00028460365,0.00030311267,0.00046371392,0.0007045211,0.00042907282,0.00094172417],"category_scores_gemma":[0.0011805187,0.00025224686,0.00032677365,0.0003107669,0.0004716905,0.0004230939,0.00053991174,0.00061285245,0.00020624777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104169754,0.00003214637,0.0007647797,0.00011726034,0.000044891043,0.000084354244,0.00012345101,0.89053893,0.0091094645,0.004009873,0.00068113126,0.09438963],"study_design_scores_gemma":[0.0000072430394,0.00004584675,0.00023003177,0.00000444191,0.0000061568503,0.000013499373,0.0000055758205,0.9976573,0.0011246288,0.0003741637,0.0005252916,0.000005745364],"about_ca_topic_score_codex":0.01325955,"about_ca_topic_score_gemma":0.006499772,"teacher_disagreement_score":0.01325955,"about_ca_system_score_codex":0.00044993218,"about_ca_system_score_gemma":0.0008846506,"threshold_uncertainty_score":0.026364744},"labels":[],"label_agreement":null},{"id":"W4409360392","doi":"10.1139/tcsme-2024-0152","title":"Research on compliant control strategy of grinding robot based on model adaptive impedance control","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Impedance control; Grinding; Control (management); Control engineering; Adaptive control; Control theory (sociology); Robot; Computer science; Electrical impedance; Engineering; Mechanical engineering; Artificial intelligence","score_opus":0.03261314358010422,"score_gpt":0.2753821712559358,"score_spread":0.24276902767583156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409360392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031076055,0.00053901825,0.9631312,0.00014588921,0.000058847174,0.00005843518,0.000010157,0.00027813998,0.004702226],"genre_scores_gemma":[0.96032995,0.00051519676,0.036226597,0.00006399457,0.00003848097,0.000117500145,0.000029596138,0.000019615693,0.0026590296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999482,0.000067385736,0.000034345067,0.0001590352,0.00020051889,0.00005679174],"domain_scores_gemma":[0.9996151,0.00010820686,0.000081874736,0.000028359771,0.00014449675,0.000021884242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064563233,0.00071488525,0.0006878043,0.00043101766,0.0005230034,0.00085451576,0.0011249289,0.00064059714,0.0011573909],"category_scores_gemma":[0.0009966847,0.0002961654,0.00055927364,0.0003783312,0.00061962515,0.00085354655,0.0007353219,0.00054294075,0.00017509758],"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":[0.00019282002,0.000116086965,0.0017877355,0.00041794754,0.000080948375,0.0003055678,0.00042381583,0.77626455,0.056300614,0.018333822,0.00091135903,0.14486481],"study_design_scores_gemma":[0.000021383277,0.00014702225,0.00040987608,0.000009464714,0.00001439691,0.000032103348,0.00001918632,0.9954516,0.0021356714,0.0011866097,0.0005606829,0.000012061786],"about_ca_topic_score_codex":0.0052570556,"about_ca_topic_score_gemma":0.0021126622,"teacher_disagreement_score":0.0052570556,"about_ca_system_score_codex":0.00046184813,"about_ca_system_score_gemma":0.0008032316,"threshold_uncertainty_score":0.010452926},"labels":[],"label_agreement":null},{"id":"W4409902582","doi":"10.18280/jesa.580313","title":"Study on Novel Model-Based Adaptive Control Strategy for a Multi-DoF Industrial Robot","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Robot; Control (management); Computer science; Control engineering; Artificial intelligence; Engineering","score_opus":0.08041592663493657,"score_gpt":0.3042587543292376,"score_spread":0.22384282769430103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409902582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037657667,0.0006828036,0.9528877,0.00015602552,0.000061884,0.000051900664,0.000009146433,0.00025574776,0.008236974],"genre_scores_gemma":[0.94419736,0.00048893923,0.051059883,0.00006823763,0.000033859,0.000089850175,0.000023499138,0.00001398099,0.004024385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985933,0.000026683958,0.000006952348,0.000037364356,0.000055048582,0.000014659846],"domain_scores_gemma":[0.99988866,0.000035259753,0.000018154182,0.000011246825,0.000038339527,0.000008331526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026492754,0.00042291448,0.00043771393,0.00019858257,0.00027484092,0.00045837997,0.00049291615,0.000491738,0.001310232],"category_scores_gemma":[0.00033228353,0.00014357016,0.00043701686,0.00014597889,0.00029033297,0.00032237842,0.00038102904,0.0003202082,0.00016056755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013008657,0.000095833784,0.0010522295,0.00045252033,0.00008669511,0.00047587458,0.00034444322,0.76640284,0.06011676,0.023833588,0.0012463343,0.14576288],"study_design_scores_gemma":[0.000010798554,0.0001830587,0.00023687952,0.000008679969,0.000012458704,0.00006270108,0.000014105556,0.9950492,0.0022046524,0.0008781352,0.0013328624,0.0000064642672],"about_ca_topic_score_codex":0.002597437,"about_ca_topic_score_gemma":0.0014979915,"teacher_disagreement_score":0.002597437,"about_ca_system_score_codex":0.00021314083,"about_ca_system_score_gemma":0.00048560667,"threshold_uncertainty_score":0.005164683},"labels":[],"label_agreement":null},{"id":"W4410252322","doi":"10.1016/j.precisioneng.2025.04.027","title":"In-process identification of feed drive dynamics considering machining forces","year":2025,"lang":"en","type":"article","venue":"Precision Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Research Council Canada; Technische Universität München; University of British Columbia","keywords":"Identification (biology); Machining; Process (computing); Dynamics (music); Process dynamics; Engineering; Mechanical engineering; Manufacturing engineering; Computer science; Physics; Biology","score_opus":0.004064068805633088,"score_gpt":0.23836742515045542,"score_spread":0.23430335634482233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410252322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037633188,0.00008559774,0.9603303,0.000040915234,0.000019968697,0.0000232544,0.000046211186,0.0003968885,0.0014236111],"genre_scores_gemma":[0.965748,0.00013610463,0.030971171,0.00002068508,0.000012774224,0.00004958086,0.00013288838,0.000055619035,0.0028730552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996685,0.00004465645,0.0000150086225,0.0000911115,0.00014733519,0.000033465218],"domain_scores_gemma":[0.9996264,0.00012975972,0.00008149489,0.00004958126,0.00010019827,0.000012527955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033909353,0.0006503791,0.00066724484,0.0002412873,0.0002490418,0.0007177226,0.000790087,0.0006669432,0.00081667077],"category_scores_gemma":[0.001131295,0.00033105604,0.00037014074,0.00016939057,0.00041693824,0.0007481542,0.0005550658,0.0008264498,0.0003078678],"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":[0.000083408726,0.00005277658,0.0010889889,0.00013572432,0.000030753465,0.000100796635,0.00011547027,0.93266135,0.024536232,0.002679227,0.0002950105,0.038220193],"study_design_scores_gemma":[0.0000024327865,0.000022562263,0.0003113659,0.0000023759028,0.0000035339287,0.000014476718,0.0000039534743,0.9958548,0.0031085664,0.0002600297,0.00041290311,0.0000030221186],"about_ca_topic_score_codex":0.005911641,"about_ca_topic_score_gemma":0.0044944375,"teacher_disagreement_score":0.005911641,"about_ca_system_score_codex":0.00037230144,"about_ca_system_score_gemma":0.0009079117,"threshold_uncertainty_score":0.011754453},"labels":[],"label_agreement":null},{"id":"W4410459163","doi":"10.1016/j.isatra.2025.05.021","title":"Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement","year":2025,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Computer science; Control engineering; Robot manipulator; Mode (computer interface); Artificial intelligence; Fiber; Control theory (sociology); Control (management); Engineering; Human–computer interaction; Materials science","score_opus":0.008335614512883657,"score_gpt":0.23154928409051645,"score_spread":0.22321366957763278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410459163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06034576,0.00035641555,0.93492365,0.0001713063,0.00009270491,0.000031753974,0.000019956191,0.00034603025,0.0037123805],"genre_scores_gemma":[0.97631365,0.00007115414,0.02118549,0.000033439628,0.000017061546,0.000032664753,0.000020944271,0.00001187907,0.0023136947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997788,0.000044500972,0.000011960574,0.000070950926,0.00005784713,0.00003601249],"domain_scores_gemma":[0.9997217,0.00007591827,0.000054540327,0.00003851231,0.00009378751,0.000015467038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005828425,0.0005012999,0.00044611757,0.0001738537,0.000359867,0.00046975166,0.0007585659,0.00052737986,0.0011057778],"category_scores_gemma":[0.0006356845,0.00024168286,0.0003291624,0.00018801243,0.0004927318,0.0005650424,0.0007204373,0.000580105,0.00016715488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023157637,0.00009929712,0.0008671076,0.000088902896,0.000059974955,0.00009554376,0.0001475206,0.84874237,0.018269045,0.0056944187,0.0014582993,0.12424597],"study_design_scores_gemma":[0.0000036963982,0.000041309024,0.000078642115,0.0000019925592,0.0000042885717,0.0000049820655,0.00000462074,0.99839765,0.0008227676,0.0004954221,0.00014217748,0.000002354614],"about_ca_topic_score_codex":0.0053119888,"about_ca_topic_score_gemma":0.0072226156,"teacher_disagreement_score":0.0053119888,"about_ca_system_score_codex":0.0004606665,"about_ca_system_score_gemma":0.0005551391,"threshold_uncertainty_score":0.0105621815},"labels":[],"label_agreement":null},{"id":"W4410552741","doi":"10.1117/12.3053528","title":"External torque virtual sensors applied to a 6-DOF robot arm","year":2025,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Torque; Computer science; Robot; Robotic arm; Simulation; Control theory (sociology); Physics; Artificial intelligence; Control (management)","score_opus":0.003820871170143675,"score_gpt":0.208830334380843,"score_spread":0.20500946321069932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410552741","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17357926,0.0002724125,0.81765467,0.00020935248,0.00021962058,0.00008349542,0.00007077087,0.0011323075,0.0067780903],"genre_scores_gemma":[0.9572852,0.00008693781,0.040173404,0.000027397422,0.000008206936,0.00002645765,0.00002286546,0.00001233825,0.0023572522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997861,0.000041320065,0.000012917397,0.000033906334,0.000108071705,0.000017727036],"domain_scores_gemma":[0.99980396,0.000057111305,0.00004473907,0.00004068181,0.000041385872,0.000012234632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002269702,0.0003253009,0.00026687756,0.00015066708,0.0001905679,0.00040771923,0.0004858933,0.0004100591,0.0013525332],"category_scores_gemma":[0.0006627429,0.00018539856,0.0002614634,0.00011995355,0.0004395154,0.00038552465,0.00050624396,0.00031775076,0.00019891837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005693863,0.00011039305,0.0019450005,0.0003963338,0.000053604756,0.00066498487,0.00038156565,0.56504214,0.30281177,0.01162166,0.0009364983,0.11546667],"study_design_scores_gemma":[0.000027634205,0.0005172734,0.0015765021,0.000026042779,0.000019594763,0.0001292304,0.000036403686,0.92119396,0.07080805,0.0011600106,0.004483069,0.00002221945],"about_ca_topic_score_codex":0.0009954239,"about_ca_topic_score_gemma":0.0012570232,"teacher_disagreement_score":0.0013525332,"about_ca_system_score_codex":0.00018510535,"about_ca_system_score_gemma":0.0002887446,"threshold_uncertainty_score":0.004524648},"labels":[],"label_agreement":null},{"id":"W4410585793","doi":"10.1016/j.isatra.2025.05.022","title":"Adaptive finite-time synchronized control of multi-robotic fiber placement system with model uncertainties and disturbances","year":2025,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Hunan Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Computer science; Control engineering; Control (management); Fiber; Engineering; Artificial intelligence; Materials science","score_opus":0.0073078820037370045,"score_gpt":0.1994426437106168,"score_spread":0.1921347617068798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410585793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14191383,0.00022064532,0.8500052,0.0002222317,0.00014415523,0.000049153812,0.0000482075,0.00031422984,0.0070823086],"genre_scores_gemma":[0.9914268,0.000048299014,0.0071634836,0.000015651962,0.000011403781,0.000035425022,0.000018797282,0.000007678886,0.0012725738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970394,0.000054526976,0.00001298996,0.00009544026,0.000091112655,0.00004188878],"domain_scores_gemma":[0.9996151,0.00009760017,0.00013141194,0.000033515807,0.00009410415,0.000028245919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047231728,0.00056617864,0.00047978244,0.00025747463,0.00053758424,0.0006204297,0.000728209,0.00057808514,0.0011306938],"category_scores_gemma":[0.00085134536,0.00032672097,0.00039779666,0.0002715973,0.0007405102,0.00052640634,0.0008783345,0.0004912576,0.0001274827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021272055,0.000044353947,0.0006418714,0.00008690046,0.00005366838,0.0001240665,0.00014032562,0.9574691,0.011412082,0.004908168,0.00044129402,0.024465447],"study_design_scores_gemma":[0.000010665968,0.00005395282,0.0002522488,0.0000037472826,0.000006375644,0.000008355376,0.000007445911,0.9981541,0.00086295244,0.0004649188,0.00017097151,0.0000042521438],"about_ca_topic_score_codex":0.008912786,"about_ca_topic_score_gemma":0.007061709,"teacher_disagreement_score":0.008912786,"about_ca_system_score_codex":0.0005398508,"about_ca_system_score_gemma":0.00078188523,"threshold_uncertainty_score":0.017721772},"labels":[],"label_agreement":null},{"id":"W4411039862","doi":"10.18280/jesa.580412","title":"Function Approximation Technique-Based Adaptive Feedback Linearization Control for Compliant-Base Manipulators","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Feedback linearization; Linearization; Base (topology); Computer science; Feedback control; Adaptive control; Control engineering; Function (biology); Control (management); Mathematics; Engineering; Nonlinear system; Artificial intelligence; Physics; Mathematical analysis","score_opus":0.01618121340315152,"score_gpt":0.23620304110221996,"score_spread":0.22002182769906845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411039862","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075133,0.00039765087,0.921996,0.000040525454,0.000026708147,0.000028085462,0.000007345231,0.0004080637,0.0019625765],"genre_scores_gemma":[0.9669671,0.0001603721,0.031514347,0.000020256264,0.00001349192,0.00003982877,0.000013203787,0.000011596008,0.0012597616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999062,0.000020993975,0.0000047458852,0.00001653153,0.000039713363,0.0000118763455],"domain_scores_gemma":[0.9998926,0.00003176177,0.000034493718,0.000008475531,0.000028133254,0.0000045437214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002345219,0.0002988914,0.0002564721,0.00017150007,0.00019070732,0.00021557642,0.00037719103,0.00021258148,0.00040544372],"category_scores_gemma":[0.00027640918,0.00010336515,0.00022476006,0.00015077932,0.00026562152,0.00018130327,0.00022721013,0.00025123445,0.00012464136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021517357,0.00010754867,0.0009233822,0.0002698042,0.00006918072,0.00024300715,0.0003842349,0.5603891,0.22031336,0.0063247667,0.0006720453,0.21008845],"study_design_scores_gemma":[0.000020288078,0.00045438917,0.0007265686,0.000012156994,0.000012138376,0.000079120764,0.000015913303,0.985015,0.01188477,0.00061993155,0.0011460591,0.000013708108],"about_ca_topic_score_codex":0.0018042962,"about_ca_topic_score_gemma":0.0012060938,"teacher_disagreement_score":0.0018042962,"about_ca_system_score_codex":0.00016643411,"about_ca_system_score_gemma":0.00021400953,"threshold_uncertainty_score":0.0035876036},"labels":[],"label_agreement":null},{"id":"W4411968452","doi":"10.22541/au.175143833.34118640/v1","title":"Concurrent Assessment of Sequential Auditory ERPs Using an Optimized Paired-stimulus Local-global Paradigm","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Dalian University of Technology","keywords":"Stimulus (psychology); Psychology; Audiology; Speech recognition; Cognitive psychology; Computer science; Medicine","score_opus":0.030486068526356838,"score_gpt":0.3262443786205015,"score_spread":0.29575831009414466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411968452","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8783467,0.00031852326,0.11705349,0.00006794783,0.00011449791,0.000676091,0.00052452815,0.00032150355,0.002576697],"genre_scores_gemma":[0.910929,0.00019612348,0.085932024,0.0001447893,0.00008590598,0.0010846488,0.000351481,0.00014776966,0.0011281811],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942017,0.00013366295,0.000037952053,0.00024088351,0.00012228404,0.00004511153],"domain_scores_gemma":[0.9995161,0.0001915833,0.000047775346,0.00006630571,0.00011720335,0.000060923812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005926532,0.00055925397,0.00043598434,0.00023204609,0.00014929147,0.00028937435,0.00033335693,0.0004106573,0.0030566962],"category_scores_gemma":[0.0017021869,0.00020974746,0.00022073492,0.00020858337,0.00040671727,0.00037893184,0.0005385526,0.0005850886,0.00046074265],"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":[0.002072331,0.0003201386,0.0013120426,0.00024674728,0.000038285827,0.00008632716,0.00008559541,0.00033351206,0.9678019,0.0002775697,0.00014511752,0.027280428],"study_design_scores_gemma":[0.00092229294,0.017853327,0.20095102,0.000043519914,0.00048420994,0.0038158323,0.00025510974,0.021670047,0.7447033,0.0037195426,0.005433214,0.00014856944],"about_ca_topic_score_codex":0.00016215479,"about_ca_topic_score_gemma":0.0006590783,"teacher_disagreement_score":0.0030566962,"about_ca_system_score_codex":0.00011499454,"about_ca_system_score_gemma":0.00022564622,"threshold_uncertainty_score":0.010225713},"labels":[],"label_agreement":null},{"id":"W4412023727","doi":"10.1038/s41598-025-90325-4","title":"Reconfigurable model clusters for scalable modelling of feed drive dynamics","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scalability; Dynamics (music); Computer science; Biological system; Computational biology; Biology; Physics; Database","score_opus":0.01254565717095166,"score_gpt":0.22039792853573015,"score_spread":0.2078522713647785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412023727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011199425,0.000051159404,0.98596084,0.00004444687,0.000017830258,0.00003641725,0.000054201028,0.0010319386,0.0016037388],"genre_scores_gemma":[0.6547012,0.00017482303,0.3412091,0.000058981197,0.000025928557,0.00030622512,0.0004723838,0.00036756758,0.0026837697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960786,0.000091340255,0.000020038058,0.00010229097,0.00013584929,0.00004271664],"domain_scores_gemma":[0.9992878,0.0002794551,0.000069326576,0.0002206007,0.000106947715,0.000035914876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000644129,0.0010218814,0.00094290747,0.00043890267,0.00050369673,0.0010143709,0.0015856224,0.0007962468,0.0027413904],"category_scores_gemma":[0.0019958452,0.0007574741,0.0010495166,0.0004686427,0.0006639779,0.0012008076,0.001592468,0.001871148,0.00096919725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026111202,0.000016023885,0.00026818697,0.000017140155,0.000017081036,0.000021137694,0.000030027106,0.9835714,0.0017215532,0.0041581346,0.0002494055,0.00990367],"study_design_scores_gemma":[0.000002426732,0.000009407577,0.000035220746,0.0000018124372,0.0000019372778,0.0000045282786,0.0000046703026,0.9970951,0.0006218495,0.0017003897,0.0005198148,0.0000028517718],"about_ca_topic_score_codex":0.0060572093,"about_ca_topic_score_gemma":0.0070066815,"teacher_disagreement_score":0.0060572093,"about_ca_system_score_codex":0.0007992899,"about_ca_system_score_gemma":0.0011679049,"threshold_uncertainty_score":0.012043893},"labels":[],"label_agreement":null},{"id":"W4412803367","doi":"10.1109/pn66844.2025.11097177","title":"Mechanical Design Consideration of Serpentine Spring for Monolithic Actuator Platform","year":2025,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Actuator; Spring (device); Computer science; Control engineering; Engineering; Mechanical engineering; Artificial intelligence","score_opus":0.02037136060326691,"score_gpt":0.24693497437898607,"score_spread":0.22656361377571915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412803367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69057214,0.0018841254,0.26903388,0.00065549614,0.0002506375,0.00009974535,0.00009536012,0.00024772304,0.03716087],"genre_scores_gemma":[0.980753,0.00023754068,0.01615023,0.00001983594,0.00001174435,0.00003032872,0.000012251725,0.0000097938855,0.002775362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990153,0.000013900557,0.0000028456977,0.000023770426,0.00004194023,0.000015984375],"domain_scores_gemma":[0.9999083,0.000030496609,0.000020869657,0.000010927012,0.00001838831,0.0000109811035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015251101,0.00028679037,0.00019102324,0.00015751946,0.00031580884,0.0004630169,0.0004239591,0.0006811218,0.0013997889],"category_scores_gemma":[0.00025331354,0.00019639132,0.00023629391,0.00008045175,0.0003629257,0.0003637922,0.00019454026,0.00023885009,0.00025602424],"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":[0.00021875829,0.00008558295,0.0011066172,0.00037826275,0.00004117094,0.0008576642,0.00015968992,0.28271487,0.65381056,0.035676923,0.0007028611,0.024247058],"study_design_scores_gemma":[0.000022653634,0.00035991645,0.0011776307,0.000019922387,0.000020372847,0.00024228556,0.00006599707,0.94728154,0.043767944,0.0021556837,0.0048585567,0.00002751283],"about_ca_topic_score_codex":0.00037444974,"about_ca_topic_score_gemma":0.0007115975,"teacher_disagreement_score":0.0013997889,"about_ca_system_score_codex":0.00024123372,"about_ca_system_score_gemma":0.00035687163,"threshold_uncertainty_score":0.0046827197},"labels":[],"label_agreement":null},{"id":"W4413991918","doi":"10.1016/j.engappai.2025.112134","title":"Enhanced neural-network-based iterative learning control considering iterative uncertainties for piezoelectric actuated micro-positioning platform","year":2025,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Iterative Learning 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":"Concordia University","funders":"Jilin University; National Natural Science Foundation of China","keywords":"Computer science; Iterative learning control; Artificial neural network; Iterative method; Control (management); Artificial intelligence; Algorithm","score_opus":0.010670891337048063,"score_gpt":0.24757409271354225,"score_spread":0.23690320137649418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413991918","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043888517,0.00026923625,0.9509453,0.000105099934,0.000068418274,0.000036923608,0.000013083784,0.00013063679,0.0045428947],"genre_scores_gemma":[0.962965,0.00011486445,0.034251906,0.000032190288,0.000020085237,0.00006403115,0.000019608273,0.000013497829,0.0025188075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970263,0.000047673377,0.00001526266,0.0000702873,0.00012638183,0.0000378331],"domain_scores_gemma":[0.9996259,0.00013561848,0.000055764987,0.000023811808,0.0001442875,0.000014516192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005802861,0.00051291677,0.0005152193,0.0002047213,0.00044200188,0.0005812132,0.0009326982,0.00076972344,0.001134155],"category_scores_gemma":[0.0010117876,0.00028400033,0.00034292793,0.0003044928,0.0005024672,0.0006736407,0.0008723718,0.000525373,0.00012914067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078924306,0.000032403696,0.00033671124,0.00007965065,0.000023679075,0.00007573237,0.00009109976,0.9430901,0.008599491,0.0038769774,0.00033762946,0.043377616],"study_design_scores_gemma":[0.000001998099,0.000017388258,0.00005232828,0.000001537446,0.0000022703157,0.0000048411184,0.0000018494238,0.9990921,0.0005184543,0.00022844547,0.00007657009,0.0000021864398],"about_ca_topic_score_codex":0.007284331,"about_ca_topic_score_gemma":0.0054005776,"teacher_disagreement_score":0.007284331,"about_ca_system_score_codex":0.00051994773,"about_ca_system_score_gemma":0.0008566803,"threshold_uncertainty_score":0.014483869},"labels":[],"label_agreement":null},{"id":"W4414229484","doi":"10.1109/access.2025.3610061","title":"Adaptive 2-DOF Control for Tracking Sinusoidal Signals With Unknown Frequency","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Western University","keywords":"Control theory (sociology); Transfer function; Harmonics; Controller (irrigation); Tracking (education); Filter (signal processing); Internal model; SIGNAL (programming language); Low-pass filter; Tracking error","score_opus":0.016597421536729103,"score_gpt":0.2710547156171083,"score_spread":0.2544572940803792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414229484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011388045,0.0002122965,0.984727,0.00003277138,0.000056817742,0.000022453632,0.000021037786,0.00042116566,0.0031183474],"genre_scores_gemma":[0.80824536,0.00045879156,0.18130486,0.00010533385,0.000099359175,0.00012120962,0.00010716345,0.00006461745,0.009493274],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998331,0.000025075688,0.0000078582,0.000047014586,0.00006997915,0.000016888262],"domain_scores_gemma":[0.99986243,0.00003826766,0.000033113603,0.000024067282,0.00003307756,0.000008974763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026946887,0.00042959058,0.00027113964,0.0002592576,0.00022316663,0.00031147935,0.0004456216,0.00024065321,0.0017332541],"category_scores_gemma":[0.00057031243,0.00011890957,0.00027837444,0.00019195495,0.00023333979,0.00026982775,0.00036802224,0.00034159355,0.00039270945],"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":[0.00026701685,0.0000964791,0.0016362974,0.00035739015,0.00006290678,0.00015502403,0.00031448054,0.21817532,0.17257197,0.034100816,0.003529774,0.5687325],"study_design_scores_gemma":[0.00003410629,0.0002464385,0.0012427085,0.000022718821,0.00001607853,0.00011596298,0.000015771933,0.9637336,0.018184893,0.0028525763,0.013507013,0.000028227958],"about_ca_topic_score_codex":0.0015376009,"about_ca_topic_score_gemma":0.0031699138,"teacher_disagreement_score":0.0017332541,"about_ca_system_score_codex":0.00022699272,"about_ca_system_score_gemma":0.00025854987,"threshold_uncertainty_score":0.0057982802},"labels":[],"label_agreement":null},{"id":"W4414230209","doi":"10.1109/tie.2025.3600520","title":"Adaptive Task Space Nonsingular Terminal Super-Twisting Sliding Mode Control of a 7-DOF Robotic Manipulator","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"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":"Control theory (sociology); Trajectory; Robot manipulator; Controller (irrigation); Invertible matrix; Tracking (education); Task (project management); Robotic arm; Terminal (telecommunication); Adaptive control","score_opus":0.016609493085600148,"score_gpt":0.23456909071119467,"score_spread":0.21795959762559453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414230209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068406284,0.00017859224,0.9279854,0.000047646652,0.00005144624,0.000033881333,0.000019404974,0.00027178566,0.0030055384],"genre_scores_gemma":[0.95126873,0.00014409579,0.046771646,0.000025711955,0.000017963795,0.000052873962,0.000040402087,0.000009680008,0.0016690062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987936,0.000019757252,0.0000098762475,0.000024999004,0.000051349543,0.000014661384],"domain_scores_gemma":[0.9998374,0.000031901785,0.00004988059,0.0000234856,0.000044082477,0.000013312829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002493017,0.00042769298,0.00023188398,0.0002031186,0.00020332342,0.0002363399,0.0005013126,0.00024126178,0.0008683814],"category_scores_gemma":[0.0003905238,0.00011711036,0.00028079987,0.00015771619,0.00032504392,0.00027879066,0.00043714102,0.00030749437,0.00013921516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003848327,0.000042928015,0.0014388583,0.00037115,0.000061750296,0.0005416486,0.00032902329,0.5457262,0.22112055,0.016262857,0.0011779445,0.21254219],"study_design_scores_gemma":[0.000015359028,0.00027430465,0.00044269278,0.00000875106,0.000008928417,0.00007264081,0.000014034682,0.9885211,0.008159433,0.0009966023,0.0014767816,0.000009442869],"about_ca_topic_score_codex":0.00090847665,"about_ca_topic_score_gemma":0.0009637103,"teacher_disagreement_score":0.00090847665,"about_ca_system_score_codex":0.00013953664,"about_ca_system_score_gemma":0.00028991862,"threshold_uncertainty_score":0.0029050112},"labels":[],"label_agreement":null},{"id":"W4414326203","doi":"10.1101/2025.09.15.676406","title":"Role of Speed Regulation and Speed Modulation in Velocity-Field Based Control","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Controller (irrigation); Tracking error; Range (aeronautics); Gait; Variable (mathematics); Motion control","score_opus":0.005676451901838139,"score_gpt":0.19470624728480854,"score_spread":0.1890297953829704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414326203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25789997,0.0009637322,0.73384017,0.00021898223,0.00021038299,0.00018215222,0.00004404726,0.0008158374,0.0058245813],"genre_scores_gemma":[0.97456896,0.00012542588,0.02455457,0.000039033286,0.00003507213,0.000059510992,0.000013026646,0.000025797211,0.0005785603],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968517,0.000089049434,0.00003029728,0.00007878568,0.0000802519,0.00003657517],"domain_scores_gemma":[0.99922895,0.00034494288,0.00014251344,0.00008497734,0.00016587153,0.00003275512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081291486,0.0005661775,0.00027312443,0.00051072746,0.00019422463,0.00077923125,0.0004109171,0.0003743469,0.0011924857],"category_scores_gemma":[0.0022507054,0.00021505643,0.00020821158,0.0001604159,0.00043522147,0.00059623277,0.00037398774,0.0003602746,0.00015882934],"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":[0.000868703,0.0004628686,0.003551434,0.00057003,0.00012653292,0.0001935098,0.00028792975,0.18966025,0.4350466,0.0122866845,0.0007602364,0.35618526],"study_design_scores_gemma":[0.00016966803,0.001866327,0.013038913,0.00010813942,0.00009200441,0.00021129547,0.00005977006,0.8908603,0.07958445,0.0069668386,0.0069462154,0.00009608915],"about_ca_topic_score_codex":0.0006742053,"about_ca_topic_score_gemma":0.00032237472,"teacher_disagreement_score":0.0011924857,"about_ca_system_score_codex":0.00020258923,"about_ca_system_score_gemma":0.00022251075,"threshold_uncertainty_score":0.004299164},"labels":[],"label_agreement":null},{"id":"W4414685148","doi":"10.1016/j.ifacol.2025.09.540","title":"Model-Free Adaptive Control for Three-Dimensional Crane Systems","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adaptability; Control theory (sociology); Adaptive control; Linearization; Control (management); Control system; Adaptive system","score_opus":0.01256061307328383,"score_gpt":0.22664733136602763,"score_spread":0.2140867182927438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414685148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021431921,0.00018761907,0.97535294,0.0001297687,0.000025933898,0.000024927855,0.000014830761,0.00037353844,0.002458429],"genre_scores_gemma":[0.9514068,0.0001456897,0.046665546,0.000043486678,0.000014598392,0.000063922555,0.000030079913,0.000021314905,0.001608475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997553,0.000060451366,0.000012989141,0.00005208441,0.00009670055,0.00002252466],"domain_scores_gemma":[0.999435,0.00027577337,0.00008551048,0.00007115246,0.00011573386,0.000016845563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051738217,0.00042396595,0.0004109447,0.00018259959,0.00038093983,0.0006818466,0.0006758332,0.00056049944,0.0009003094],"category_scores_gemma":[0.0014843364,0.0001969368,0.00036815225,0.0001727217,0.00082383666,0.0005155538,0.0007433362,0.00084387814,0.00016728579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004156855,0.000016969674,0.00031770702,0.00006498432,0.000019348065,0.000033094184,0.00009603025,0.9528214,0.0057116277,0.00749334,0.0002277976,0.033156227],"study_design_scores_gemma":[0.0000036821332,0.00002745045,0.00008909939,0.000004461168,0.0000019976465,0.0000096560125,0.0000046657638,0.99743795,0.001100546,0.00088768074,0.00042838,0.000004313595],"about_ca_topic_score_codex":0.008754582,"about_ca_topic_score_gemma":0.004857846,"teacher_disagreement_score":0.008754582,"about_ca_system_score_codex":0.0004977135,"about_ca_system_score_gemma":0.0007537367,"threshold_uncertainty_score":0.017407238},"labels":[],"label_agreement":null},{"id":"W4414908199","doi":"10.1109/tac.2025.3618707","title":"Prescribed-Time Control via Periodic Delayed Feedback-Based Super-Twisting Sliding Mode Algorithm","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Sliding mode control; Bounded function; Nonlinear system; Integrator; State observer; Settling time; Variable structure control; Observer (physics)","score_opus":0.004807050240811495,"score_gpt":0.21395370040455372,"score_spread":0.20914665016374223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414908199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021004329,0.00010104726,0.97714007,0.000035827215,0.0000330837,0.00002249023,0.000010481695,0.00014616018,0.0015064601],"genre_scores_gemma":[0.9034199,0.00016192581,0.0946778,0.00003090361,0.000021649344,0.00007683942,0.000037684928,0.000018760726,0.001554616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975985,0.00004227959,0.000017237295,0.00004805727,0.00010415077,0.000028417435],"domain_scores_gemma":[0.99958926,0.00010687382,0.000102949954,0.00006164624,0.000115144634,0.000024166215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004642374,0.00044902044,0.0004530227,0.000248433,0.00022303262,0.0003893807,0.00059282663,0.00034622307,0.000875577],"category_scores_gemma":[0.0010146521,0.00014608291,0.0002779276,0.00020338042,0.0004955291,0.0004423802,0.00047460492,0.0004385959,0.00012436035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028696237,0.00003624904,0.0008809705,0.00021053501,0.000026665477,0.00016104485,0.00025301529,0.76628363,0.044926252,0.037442055,0.0008221426,0.14867042],"study_design_scores_gemma":[0.000013312492,0.000094300696,0.00008734872,0.000006176183,0.000003320828,0.000023909824,0.000005327575,0.9944669,0.0026785294,0.0019470573,0.00066839176,0.000005405231],"about_ca_topic_score_codex":0.0016642412,"about_ca_topic_score_gemma":0.00083874434,"teacher_disagreement_score":0.0016642412,"about_ca_system_score_codex":0.0003270622,"about_ca_system_score_gemma":0.0006118623,"threshold_uncertainty_score":0.003309071},"labels":[],"label_agreement":null},{"id":"W4415428824","doi":"10.3233/faia250817","title":"An Arbitration Control for an Ensemble of Diversified DQN Variants in Continual Reinforcement Learning","year":2025,"lang":"","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reinforcement learning; Arbitration; Control (management); Context (archaeology); Key (lock); Mechanism (biology)","score_opus":0.025439287281616766,"score_gpt":0.2715328186828887,"score_spread":0.24609353140127194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415428824","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03677705,0.00089035084,0.95454115,0.00037634597,0.00011471414,0.00004222726,0.000037612797,0.00034178127,0.0068786913],"genre_scores_gemma":[0.8646442,0.0005039424,0.1277659,0.00016520484,0.00007016827,0.000103081875,0.00005256358,0.00007203568,0.0066228905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968684,0.000071103306,0.000021845775,0.000104994615,0.00007933901,0.000035853303],"domain_scores_gemma":[0.99950373,0.00020668838,0.00006992368,0.00007816419,0.00008999518,0.00005150133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009691775,0.0005557887,0.00046956225,0.00017900972,0.00023548199,0.0007880744,0.0012323809,0.00067815394,0.0019026833],"category_scores_gemma":[0.00198076,0.00026422273,0.00037096278,0.00021699835,0.0009346878,0.000995784,0.0010110143,0.0014961532,0.00026735483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009808916,0.000057537196,0.001087262,0.000090848036,0.000060832044,0.00012930026,0.00014238636,0.800405,0.010842473,0.07638923,0.0017903154,0.10890677],"study_design_scores_gemma":[0.000007341833,0.000042306507,0.00011025219,0.000008167319,0.0000074330255,0.000023569044,0.000004852147,0.984127,0.0008982702,0.013454652,0.0013089209,0.0000071806157],"about_ca_topic_score_codex":0.0018433146,"about_ca_topic_score_gemma":0.0017384901,"teacher_disagreement_score":0.0019026833,"about_ca_system_score_codex":0.00079278235,"about_ca_system_score_gemma":0.0005603293,"threshold_uncertainty_score":0.006365061},"labels":[],"label_agreement":null},{"id":"W4415649634","doi":"10.1002/rnc.70269","title":"Adaptive Set‐Point Tracking via Repetitive Learning Control for Nonlinear Cascaded Uncertain Systems With Output Constraint","year":2025,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Backstepping; Control theory (sociology); Bounded function; Lyapunov function; Nonlinear system; Constraint (computer-aided design); Tracking error; Tracking (education); Control (management)","score_opus":0.013474677731260626,"score_gpt":0.24451203155500342,"score_spread":0.2310373538237428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415649634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15002446,0.00019307745,0.8452332,0.00015547103,0.000039413288,0.000047201815,0.000027369399,0.00018600226,0.0040937928],"genre_scores_gemma":[0.9915549,0.00004367147,0.007504568,0.000017696555,0.000009053043,0.000038434086,0.000012744029,0.0000043729838,0.0008145552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961275,0.000058345875,0.000022966347,0.00010526002,0.0001497971,0.0000508878],"domain_scores_gemma":[0.9993849,0.000233673,0.0002001536,0.00004016774,0.00011552153,0.000025581696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058612035,0.00065622583,0.0005895138,0.00027325415,0.00039113054,0.00053934415,0.00092193333,0.00079727825,0.0008920892],"category_scores_gemma":[0.0012106017,0.00029201747,0.0005075321,0.00031717902,0.00063327205,0.00042487387,0.00079894153,0.0006441741,0.00010299462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083841434,0.000038959188,0.00050700665,0.000101987105,0.000036936894,0.0002551642,0.0001195211,0.9610417,0.018197421,0.0046073296,0.00020577613,0.014804372],"study_design_scores_gemma":[0.0000060986113,0.000051089643,0.0001128176,0.0000025255667,0.0000037609382,0.000011733931,0.000004105041,0.9984218,0.0008242751,0.0004674606,0.00009113709,0.0000033012564],"about_ca_topic_score_codex":0.0066366033,"about_ca_topic_score_gemma":0.003337838,"teacher_disagreement_score":0.0066366033,"about_ca_system_score_codex":0.0005568702,"about_ca_system_score_gemma":0.000561004,"threshold_uncertainty_score":0.013195932},"labels":[],"label_agreement":null},{"id":"W4415712665","doi":"10.1016/j.ifacol.2025.10.125","title":"Interpolating Control for Precision Positioning affected by pre-sliding Friction","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Wildlife Fund Canada","funders":"Technion-Israel Institute of Technology","keywords":"Position (finance); Control theory (sociology); Regulator; Convergence (economics); Vibration; Residual; Wafer; Position sensor","score_opus":0.0027744840427546933,"score_gpt":0.23168052123017216,"score_spread":0.22890603718741748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415712665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01844657,0.0005718793,0.9774434,0.00009452533,0.00007603962,0.000028595985,0.000014294482,0.00037004135,0.0029546279],"genre_scores_gemma":[0.9505621,0.00046605486,0.045214538,0.0000743125,0.000048955848,0.00007467702,0.000034839795,0.000032636017,0.0034918818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954295,0.000099450524,0.000023562532,0.00010634092,0.00015580961,0.00007182874],"domain_scores_gemma":[0.9992514,0.00043134543,0.00011218791,0.000069863374,0.00010566654,0.000029507122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010483523,0.0006889898,0.0007891674,0.00030899904,0.00038825502,0.00079803384,0.0010269353,0.0007973162,0.0019435422],"category_scores_gemma":[0.002295032,0.00031625567,0.0005244996,0.00040264314,0.0009723975,0.0005527375,0.00087324914,0.0016291661,0.00024581226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020404527,0.000099665514,0.00059044565,0.00030460441,0.000051232124,0.00015284559,0.00024256963,0.8761129,0.013634398,0.03223002,0.0010066541,0.07537068],"study_design_scores_gemma":[0.000009461898,0.00008175252,0.00009782956,0.00001182443,0.000007318732,0.000018775036,0.000004287911,0.9955922,0.0013362671,0.0020744982,0.0007588351,0.0000069692387],"about_ca_topic_score_codex":0.0034783466,"about_ca_topic_score_gemma":0.002474773,"teacher_disagreement_score":0.0034783466,"about_ca_system_score_codex":0.0006051825,"about_ca_system_score_gemma":0.00076858694,"threshold_uncertainty_score":0.006916225},"labels":[],"label_agreement":null},{"id":"W4415943724","doi":"10.1016/j.ifacol.2025.10.152","title":"A Cascade Control Approach for Motion Systems Driven By Nonlinear Reluctance Actuator","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Control theory (sociology); Robustness (evolution); Cascade; Actuator; Nonlinear system; Magnetic reluctance; PID controller; Control system; Position (finance)","score_opus":0.0054889747557815725,"score_gpt":0.21800183345378352,"score_spread":0.21251285869800193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415943724","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012872692,0.0002183065,0.98239166,0.00005459641,0.00006661789,0.000051238905,0.000010005771,0.00028096465,0.0040540155],"genre_scores_gemma":[0.90498525,0.00032442668,0.0902769,0.000060180337,0.0000679162,0.00013039494,0.000033867524,0.00003266056,0.0040884265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997725,0.000030731884,0.000015725154,0.000066305074,0.00008822067,0.000026589536],"domain_scores_gemma":[0.99980754,0.000053404685,0.00003812637,0.000021472873,0.00006476528,0.000014803649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041481783,0.0007992499,0.000403222,0.00037726748,0.00037843597,0.0004926008,0.000996894,0.0004917542,0.0023157056],"category_scores_gemma":[0.0004988682,0.00023261561,0.00044544233,0.00017410617,0.0005058453,0.0006121221,0.00079644757,0.000584451,0.0003000351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032273371,0.00016787188,0.00079101743,0.00065301906,0.000098593,0.0006421816,0.0006534355,0.5200846,0.21086453,0.042235047,0.002318097,0.22116888],"study_design_scores_gemma":[0.000017451308,0.0004164639,0.00020566717,0.000011847512,0.00001399393,0.00006432433,0.00001529598,0.9854666,0.009589039,0.0018305532,0.002354039,0.000014656482],"about_ca_topic_score_codex":0.001836852,"about_ca_topic_score_gemma":0.0020778626,"teacher_disagreement_score":0.0023157056,"about_ca_system_score_codex":0.000322403,"about_ca_system_score_gemma":0.00038642055,"threshold_uncertainty_score":0.0077468157},"labels":[],"label_agreement":null},{"id":"W4415966899","doi":"10.1115/1.4070327","title":"Deterministic Design for Load Capacity Enhancement in Planetary Roller Screw Mechanism With Different Thread Profiles","year":2025,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MD Precision (Canada)","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Thread (computing); Load distribution; Nut; Screw thread; Contact area; Optimal design","score_opus":0.02921765669761564,"score_gpt":0.23727839381329188,"score_spread":0.20806073711567624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415966899","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3821401,0.00024781626,0.6125308,0.000074780415,0.000044664284,0.00014804899,0.0000451217,0.00048972515,0.0042789276],"genre_scores_gemma":[0.9766566,0.00003268682,0.02294441,0.000006608989,0.0000035267042,0.00006068924,0.0000107893875,0.000010585436,0.00027407624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994281,0.00011652603,0.0000452546,0.00009984675,0.00024018373,0.000070023154],"domain_scores_gemma":[0.9993625,0.00011506068,0.00021012429,0.00008621404,0.00019912694,0.000027043385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007077411,0.00045238575,0.0003446726,0.00058082945,0.00024413667,0.00046514656,0.00073995686,0.00034616716,0.0010075466],"category_scores_gemma":[0.0013129546,0.00031332893,0.00038349244,0.00025427152,0.0002898484,0.00040329446,0.00040711454,0.00017270868,0.00016340548],"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":[0.00047598282,0.00025763593,0.0038408919,0.0004604729,0.00007341621,0.00018418203,0.00015839162,0.5763182,0.29411447,0.006230926,0.0004007493,0.11748469],"study_design_scores_gemma":[0.00008255428,0.0014668873,0.0034436777,0.000017285316,0.000049712893,0.000073933326,0.00003647626,0.9414789,0.050553612,0.0010177895,0.0017451195,0.00003411517],"about_ca_topic_score_codex":0.0006546405,"about_ca_topic_score_gemma":0.0010233875,"teacher_disagreement_score":0.0010075466,"about_ca_system_score_codex":0.00035244483,"about_ca_system_score_gemma":0.0005994536,"threshold_uncertainty_score":0.0037429333},"labels":[],"label_agreement":null},{"id":"W4416513596","doi":"10.1109/tie.2025.3618866","title":"Modeling and Tracking Control of Nondifferentiable Sandwiched Dynamic Systems: Case Study on Gear Transmission Servo Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Backlash; Feed forward; Convergence (economics); Controller (irrigation); Tracking error; Bounded function; Nonlinear system; Transmission (telecommunications)","score_opus":0.019662170073337294,"score_gpt":0.2585673113051227,"score_spread":0.23890514123178544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416513596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25814763,0.0011234214,0.73313665,0.00020293499,0.000031968917,0.00007336905,0.000060019513,0.00018916794,0.007034863],"genre_scores_gemma":[0.9839208,0.00026339167,0.014311082,0.000011249298,0.000008011719,0.00003828569,0.000021785423,0.0000049775413,0.0014204485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981445,0.000051549432,0.00001572094,0.00003871146,0.000059281454,0.000020374697],"domain_scores_gemma":[0.9995889,0.00023939744,0.000060332633,0.00003169398,0.00006428656,0.000015443968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046287905,0.0004308868,0.00048277355,0.00021248743,0.0002847334,0.00065826,0.00042526168,0.0010206666,0.00085216464],"category_scores_gemma":[0.0006832347,0.00017465139,0.00048252905,0.00019667916,0.0004251508,0.00042391304,0.0006437019,0.0006461728,0.00009188307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046630284,0.000040237555,0.000762446,0.000118275915,0.000015148371,0.00034549914,0.0001624406,0.972493,0.008755049,0.006359722,0.00012621,0.010775227],"study_design_scores_gemma":[0.000004065155,0.000065136715,0.00023066689,0.000004837723,0.0000042315696,0.000028942773,0.00002448037,0.9977906,0.0009975107,0.00062069,0.00022467783,0.0000041637886],"about_ca_topic_score_codex":0.004676466,"about_ca_topic_score_gemma":0.0029913238,"teacher_disagreement_score":0.004676466,"about_ca_system_score_codex":0.00024994358,"about_ca_system_score_gemma":0.00035828803,"threshold_uncertainty_score":0.009298503},"labels":[],"label_agreement":null},{"id":"W4416784919","doi":"10.1002/cjce.70188","title":"<scp>A</scp> novel <scp>proportional‐integral‐derivative</scp> ‐type iterative learning control strategy based on <scp>2D</scp> model predictive iterative learning control optimization for batch processes with partial actuator failures","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative learning control; Setpoint; Control theory (sociology); Actuator; Controller (irrigation); Tracking error; Convergence (economics); PID controller; Process (computing)","score_opus":0.00666748106748974,"score_gpt":0.2000530386826679,"score_spread":0.19338555761517817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416784919","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020136625,0.00015225679,0.97594655,0.00011692429,0.00003665702,0.00005025423,0.000018429848,0.00032208735,0.0032203374],"genre_scores_gemma":[0.9160646,0.000130866,0.079822354,0.00007760153,0.000023529105,0.00014949328,0.000059239046,0.000041448468,0.0036309243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966776,0.00004661921,0.000018495872,0.0000675835,0.00016814355,0.0000314527],"domain_scores_gemma":[0.9997454,0.00006286923,0.000043502747,0.00003231342,0.000100109806,0.000015731672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051474606,0.00061977044,0.0005533329,0.00029138228,0.00041097665,0.00075244665,0.0012250504,0.00058771856,0.0012584098],"category_scores_gemma":[0.00070836965,0.00033005234,0.00046866838,0.00034508752,0.0006026335,0.00063595234,0.00071888394,0.00077801367,0.0002350762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007771477,0.00006531458,0.0004515263,0.00012699752,0.000037115602,0.00010758187,0.00009656958,0.8870197,0.02047519,0.0068116956,0.0013762661,0.083354324],"study_design_scores_gemma":[0.0000032165053,0.000024384815,0.00005333346,0.0000014570807,0.000001932252,0.000007757661,0.0000018399912,0.9978411,0.001477745,0.00031535767,0.00026844913,0.0000034665202],"about_ca_topic_score_codex":0.008487699,"about_ca_topic_score_gemma":0.0043013417,"teacher_disagreement_score":0.008487699,"about_ca_system_score_codex":0.00057069305,"about_ca_system_score_gemma":0.0011818182,"threshold_uncertainty_score":0.016876578},"labels":[],"label_agreement":null},{"id":"W6976593359","doi":"10.6068/dp14ba84f85132","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, sex and detailed age group | Variable: 25 to 54 years, Participation rate, Females, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Census; Population; Descriptive statistics; Socioeconomic status; Ethnic group; Diversity (politics)","score_opus":0.01711598831158284,"score_gpt":0.2335340268958642,"score_spread":0.21641803858428135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976593359","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000081304606,0.00005893318,0.00003279134,0.00015086016,0.000036881484,0.000024886336,0.99833626,0.000070924936,0.001207085],"genre_scores_gemma":[0.0011817276,0.0003782428,0.0006080106,0.0002324214,0.000024601335,0.0002091961,0.9905409,0.00016117949,0.0066636475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99554765,0.00032328477,0.0005155415,0.0005077357,0.002022103,0.0010836958],"domain_scores_gemma":[0.9660165,0.0011404211,0.0010107076,0.0009684473,0.0289819,0.0018820217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025197063,0.0022970736,0.0026827662,0.007845586,0.0034287875,0.004612251,0.0052213715,0.0013175933,0.09586212],"category_scores_gemma":[0.018002931,0.0018161106,0.0022936477,0.036651462,0.0005859648,0.002225548,0.0025035704,0.0029673497,0.047671936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032639848,0.000008283034,0.0013063045,0.00026086727,0.000024031428,0.000007821798,0.000028862367,0.00009840395,0.000011165456,0.00035151755,0.9955966,0.0022734627],"study_design_scores_gemma":[0.00021065543,0.0000186934,0.038030215,0.0013041325,0.00010039784,0.00003555994,0.0006524112,0.0005460499,0.00022155064,0.0007635512,0.95800763,0.00010908147],"about_ca_topic_score_codex":0.9955089,"about_ca_topic_score_gemma":0.9938637,"teacher_disagreement_score":0.09586212,"about_ca_system_score_codex":0.055231925,"about_ca_system_score_gemma":0.15428504,"threshold_uncertainty_score":0.40073758},"labels":[],"label_agreement":null},{"id":"W6983188131","doi":"","title":"Linear parameter-varying control of CNC machine tool feed-drives with dynamic variations","year":2014,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Control theory (sociology); Controller (irrigation); Machine tool; Constraint (computer-aided design); Numerical control; Range (aeronautics); Control system; Transient (computer programming); Machining","score_opus":0.002786115852189743,"score_gpt":0.15363414131213174,"score_spread":0.150848025459942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983188131","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054517414,0.00033039908,0.93677926,0.00007917125,0.00006273195,0.000052071035,0.000019562201,0.00031419087,0.007845324],"genre_scores_gemma":[0.97018987,0.00014221735,0.027151456,0.000033767217,0.000019387087,0.000052457788,0.000022198894,0.000019521098,0.0023690488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996749,0.000051308012,0.00001207985,0.00007692526,0.00015814505,0.000026745729],"domain_scores_gemma":[0.9998254,0.00006170574,0.000034872093,0.000020781079,0.000050168903,0.000006989133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031267988,0.0004653379,0.00027086213,0.00017573786,0.0002491028,0.00058250455,0.0007123201,0.00024696524,0.0008353271],"category_scores_gemma":[0.00060884637,0.00013615508,0.0002497692,0.00019034962,0.00039577717,0.00026140432,0.00034015832,0.00049452,0.00012511719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022211256,0.000094458075,0.00070477586,0.00027600315,0.000041010906,0.00015807743,0.0003435206,0.67579335,0.12293268,0.020496149,0.001101798,0.17783603],"study_design_scores_gemma":[0.000011307902,0.000120992394,0.00030783258,0.000007500401,0.000006954442,0.000026548812,0.000009648945,0.9885309,0.0075655994,0.001040997,0.0023633346,0.000008413078],"about_ca_topic_score_codex":0.002500375,"about_ca_topic_score_gemma":0.0030792828,"teacher_disagreement_score":0.002500375,"about_ca_system_score_codex":0.00045130507,"about_ca_system_score_gemma":0.0003422391,"threshold_uncertainty_score":0.0049716234},"labels":[],"label_agreement":null},{"id":"W7020005030","doi":"","title":"Industrial-Scale Autonomous Vehicle Path Following by Feedback Linearized Iterative Learning Control","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Örebro Universitet; Stiftelsen för Kunskaps- och Kompetensutveckling","keywords":"Nucleofection; Proteogenomics; Diafiltration; TSG101; Hyporeflexia; Fusible alloy","score_opus":0.004170969800224466,"score_gpt":0.1734146427719993,"score_spread":0.16924367297177484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020005030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1026625,0.00012014371,0.8871137,0.00007619267,0.000026333695,0.00012984069,0.00003357279,0.0012060711,0.008631679],"genre_scores_gemma":[0.9148372,0.000054848122,0.08240168,0.000018826086,0.000004098771,0.00010073242,0.000045757097,0.00003531925,0.0025015716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997501,0.000054028213,0.0000102955655,0.000042147738,0.000115772775,0.000027790766],"domain_scores_gemma":[0.99962056,0.0001380138,0.00005270403,0.000054038628,0.00011615544,0.000018567862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045361684,0.00036387425,0.00025788494,0.00019973218,0.0003013748,0.00039435225,0.00065438787,0.00030387918,0.001493217],"category_scores_gemma":[0.000983514,0.00015021263,0.00023029497,0.0002028378,0.0005121825,0.00041411238,0.00050891074,0.000493789,0.00028403092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009909229,0.00008398793,0.00076308,0.000103697996,0.000017606992,0.000051163363,0.00018273777,0.9035425,0.019292131,0.0025287904,0.00053325907,0.07280196],"study_design_scores_gemma":[0.000013329768,0.00015011044,0.00018436238,0.0000053401486,0.0000038151907,0.000015377538,0.000014594623,0.9901524,0.0076412773,0.0005419689,0.0012704376,0.000006992206],"about_ca_topic_score_codex":0.0055411234,"about_ca_topic_score_gemma":0.004266413,"teacher_disagreement_score":0.0055411234,"about_ca_system_score_codex":0.00046187235,"about_ca_system_score_gemma":0.00075747335,"threshold_uncertainty_score":0.01101774},"labels":[],"label_agreement":null},{"id":"W7039758886","doi":"","title":"Multivariable System Identification, Enhanced Disturbance Rejection, and Precision Motion Control for CNC Machine Tool Feed Drives","year":2021,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Control theory (sociology); Control system; Machining; Servo; Process (computing); Machine tool; Noise (video)","score_opus":0.003573524598146182,"score_gpt":0.17946945292328548,"score_spread":0.17589592832513928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039758886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016386427,0.00052733,0.9784775,0.00013465577,0.00006757087,0.000036879323,0.000026280062,0.00021009569,0.004133287],"genre_scores_gemma":[0.9422859,0.00073830516,0.0499999,0.00008188344,0.00009596398,0.00011865905,0.000106888045,0.000030781404,0.0065416885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994727,0.000092790004,0.00002072438,0.00011960545,0.0002564505,0.00003783179],"domain_scores_gemma":[0.9996935,0.000104943756,0.00004960748,0.00002338851,0.000121806916,0.000006753038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047482506,0.00042560825,0.000306622,0.00021889935,0.0002731992,0.000538781,0.00036177834,0.00027399766,0.001085086],"category_scores_gemma":[0.0012987384,0.00013298486,0.00021250566,0.00034937912,0.00025795796,0.0003073959,0.00029867745,0.00058014144,0.0002069678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015095151,0.00008284487,0.00096328324,0.00038788488,0.00004237472,0.00015132166,0.00034500135,0.6183883,0.034137893,0.04684542,0.0025182434,0.29598644],"study_design_scores_gemma":[0.0000075345233,0.00009105925,0.0007347237,0.00000937921,0.000005460034,0.000026469623,0.000015258307,0.9906313,0.0026734227,0.0019660706,0.0038307558,0.000008537497],"about_ca_topic_score_codex":0.004621139,"about_ca_topic_score_gemma":0.0036298232,"teacher_disagreement_score":0.004621139,"about_ca_system_score_codex":0.00047266833,"about_ca_system_score_gemma":0.0005474208,"threshold_uncertainty_score":0.009188473},"labels":[],"label_agreement":null},{"id":"W7097773087","doi":"","title":"Online Learning for Linearly Parametrized Control Problems","year":2012,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permission; Control (management); Association (psychology); Class (philosophy); Scheme (mathematics); Work (physics)","score_opus":0.0144425100208977,"score_gpt":0.23729231240770146,"score_spread":0.22284980238680377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097773087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029186849,0.0010571898,0.96070004,0.0007218544,0.000091598085,0.00011907105,0.00012521239,0.00064644683,0.0073517095],"genre_scores_gemma":[0.889395,0.0006851792,0.092764035,0.00033437993,0.00017093252,0.0005998416,0.00059487316,0.00023618084,0.015219526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989747,0.000397979,0.00006723589,0.00023634147,0.0001718188,0.00015191964],"domain_scores_gemma":[0.9925299,0.006182307,0.00034634946,0.00033203964,0.00040574747,0.00020363969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002501104,0.0013907718,0.00222746,0.0006804367,0.0006493559,0.0020414246,0.0015574908,0.002422923,0.008075967],"category_scores_gemma":[0.012057403,0.0010829365,0.0006771955,0.0007868745,0.0016335392,0.0024881943,0.0025822755,0.0034947412,0.0009953072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016234156,0.00011771986,0.00042135434,0.00019643463,0.000047995767,0.000072586474,0.000074477306,0.93198097,0.00040840195,0.021248132,0.0018824609,0.04338708],"study_design_scores_gemma":[0.000014804174,0.000017835577,0.000041272786,0.000006594508,0.0000026340285,0.0000041247035,0.0000039940837,0.99226177,0.00008671554,0.007402913,0.00015424949,0.000003076022],"about_ca_topic_score_codex":0.009653517,"about_ca_topic_score_gemma":0.0094023915,"teacher_disagreement_score":0.009653517,"about_ca_system_score_codex":0.0016897459,"about_ca_system_score_gemma":0.0020049994,"threshold_uncertainty_score":0.027016878},"labels":[],"label_agreement":null},{"id":"W7117482664","doi":"10.23919/iccas66577.2025.11301113","title":"Precision Control of Wafer Transfer Robots with Unknown Dynamics: an Output Feedback Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Trajectory; Parametric statistics; Observer (physics); Tracking (education); Controller (irrigation); Robot; Tracking error","score_opus":0.004875280544889213,"score_gpt":0.19682380811660785,"score_spread":0.19194852757171865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117482664","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021041298,0.00025948958,0.9757959,0.00010465954,0.0000392455,0.000020345427,0.000013421306,0.00030682367,0.0024188634],"genre_scores_gemma":[0.96375483,0.00024476126,0.033005673,0.000044759425,0.000026382333,0.00007522483,0.00002884431,0.000020479052,0.0027990306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979,0.000035252106,0.000011470821,0.000046649104,0.00009036966,0.000026309883],"domain_scores_gemma":[0.9997192,0.00009499286,0.00007964019,0.00002339848,0.000073395626,0.000009401451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043709623,0.00059755344,0.0003651743,0.00021751395,0.00030362545,0.0007081095,0.0006925041,0.0006381098,0.0009718816],"category_scores_gemma":[0.00071563537,0.00023889609,0.00031420364,0.00019875001,0.0005658085,0.00050905027,0.00061764405,0.00063817366,0.00017780854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019637118,0.000063624466,0.0006044679,0.00036222563,0.000053672145,0.0003866051,0.00035715665,0.7845449,0.074226804,0.016288256,0.00096118613,0.12195479],"study_design_scores_gemma":[0.00001628354,0.0001854983,0.00026548732,0.000014480891,0.000010258447,0.000044460907,0.000017062659,0.9907265,0.0064375666,0.001176479,0.001096986,0.000009042814],"about_ca_topic_score_codex":0.002125762,"about_ca_topic_score_gemma":0.0015807527,"teacher_disagreement_score":0.002125762,"about_ca_system_score_codex":0.0002996252,"about_ca_system_score_gemma":0.00047514722,"threshold_uncertainty_score":0.004226744},"labels":[],"label_agreement":null}]}