{"meta":{"query_hash":"ded9b5739bdb","filters":{"venue":"Computer-aided chemical engineering/Computer aided chemical engineering"},"cohort_total":56,"direct_labels_cover":0,"predictions_cover":56,"exported":56,"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/ded9b5739bdb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Computer-aided+chemical+engineering%2FComputer+aided+chemical+engineering"},"results":[{"id":"W1186450586","doi":"10.1016/b978-0-444-63577-8.50042-5","title":"Integrated Design and Control of Semicontinuous Processes Using Mixed Integer Nonlinear Dynamic Optimization","year":2015,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","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":"McMaster University","funders":"","keywords":"Fractionating column; Integer (computer science); Ternary operation; Nonlinear system; Process (computing); Mathematical optimization; Control theory (sociology); Process engineering; Computer science; Distillation; Engineering; Mathematics; Control (management); Chemistry","score_opus":0.011565414284746459,"score_gpt":0.19304911047361387,"score_spread":0.1814836961888674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1186450586","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012272409,0.0019493607,0.99319875,0.000016955019,0.00093752675,0.0007461927,0.000104436454,0.0016624128,0.00015713075],"genre_scores_gemma":[0.06602083,0.000280572,0.9304864,0.00005822113,0.001061603,0.00006929616,0.00093474606,0.00083210727,0.0002562485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99575436,0.000018470733,0.0017311231,0.0010518872,0.0006159712,0.00082819303],"domain_scores_gemma":[0.9971438,0.0003885845,0.00034814354,0.0006166377,0.00092667266,0.0005761358],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002764009,0.0016098751,0.0018830834,0.000676322,0.000037835765,0.00018164208,0.0007314328,0.0013113429,0.000043409433],"category_scores_gemma":[0.00020883631,0.0017565803,0.00029349225,0.00042699647,0.00012806189,0.0004687345,0.00027686145,0.0014786815,0.000008056588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042616182,0.00004255217,3.146963e-7,0.0015329048,0.00038547278,0.000017130105,0.00011531648,0.93381727,0.061492242,0.00020490815,0.0002750229,0.0020742526],"study_design_scores_gemma":[0.0014582333,0.000092016,1.1788642e-7,0.0017232682,0.00022910391,0.00013440325,0.000002391035,0.94359547,0.050168954,0.00006733261,0.0010280489,0.0015006745],"about_ca_topic_score_codex":0.0000032851744,"about_ca_topic_score_gemma":1.6973314e-7,"teacher_disagreement_score":0.064793594,"about_ca_system_score_codex":0.0006694422,"about_ca_system_score_gemma":0.00019045385,"threshold_uncertainty_score":0.99998516},"labels":[],"label_agreement":null},{"id":"W138426777","doi":"10.1016/s1570-7946(02)80152-3","title":"A Systematic Approach for the Optimal Operation and Maintenance of Heat Exchanger Networks","year":2002,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","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":"Optech (Canada)","funders":"","keywords":"Heat exchanger; Fouling; Implementation; Fractionating column; Computer science; Process engineering; Distillation; Reliability engineering; Engineering; Mechanical engineering; Software engineering; Chemistry","score_opus":0.00869561652683493,"score_gpt":0.16959218123336955,"score_spread":0.16089656470653463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138426777","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000104038874,0.0030553113,0.99346334,0.000034368037,0.0007445723,0.0013358538,0.00003737374,0.0008333383,0.0003917957],"genre_scores_gemma":[0.1084147,0.0017102583,0.87701976,0.0002948248,0.006481653,0.0014072026,0.0011276599,0.0014879563,0.0020559935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996629,0.0000085614,0.0014080273,0.0008055872,0.00041825208,0.00073057617],"domain_scores_gemma":[0.99808174,0.00053956395,0.0001683132,0.00069455104,0.00021648042,0.0002993207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024259191,0.0011645298,0.0014825237,0.00026289918,0.000058302525,0.0001865023,0.0007130539,0.0008653353,0.00002721977],"category_scores_gemma":[0.000058635796,0.0010261062,0.00044334284,0.00014749644,0.00008998871,0.0002526102,0.00026725463,0.0010295113,0.000004698106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012318336,0.000025652047,7.513815e-8,0.010231298,0.000426146,0.0000031279496,0.00015778074,0.9782273,0.0054061464,0.003036997,0.001700876,0.0007722802],"study_design_scores_gemma":[0.000755309,0.000056894412,3.3450738e-7,0.0027537944,0.00022070481,0.00008913523,0.0000021545982,0.9871437,0.0073129316,0.000016239672,0.00065948383,0.0009892944],"about_ca_topic_score_codex":0.0000011792849,"about_ca_topic_score_gemma":4.2818805e-8,"teacher_disagreement_score":0.1164436,"about_ca_system_score_codex":0.00027932055,"about_ca_system_score_gemma":0.000017318594,"threshold_uncertainty_score":0.99921894},"labels":[],"label_agreement":null},{"id":"W1482203735","doi":"10.1016/s1570-7946(09)70698-4","title":"Methodology of Pipe and Equipment Layout for On-Shore Oil &amp; Gas Industry","year":2009,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Process (computing); Oil refinery; Refinery; Scope (computer science); Work (physics); Engineering; Construction engineering; Plan (archaeology); Manufacturing engineering; Computer science; Mechanical engineering; Waste management","score_opus":0.029051657647563702,"score_gpt":0.23289332396909584,"score_spread":0.20384166632153214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482203735","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026958777,0.0042405175,0.9520691,0.00040644783,0.004973515,0.0013601871,0.00035615708,0.005057423,0.0045778984],"genre_scores_gemma":[0.05604357,0.0008223774,0.92162615,0.00046178888,0.012172726,0.00042225103,0.001144606,0.0021191654,0.0051873927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9944362,0.000014182779,0.0018573991,0.0014973077,0.0006641933,0.0015306921],"domain_scores_gemma":[0.996322,0.0013094442,0.00024477954,0.0011741167,0.00021980821,0.0007298479],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00038679765,0.0022437316,0.0029002763,0.0007353913,0.000052114094,0.00009817578,0.0010297453,0.0023536868,0.000045837274],"category_scores_gemma":[0.00015353477,0.002510412,0.0009503284,0.00023015458,0.00014255979,0.00014680001,0.00075179397,0.00304811,0.000016048187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012042185,0.00015783943,0.0000032344167,0.007258307,0.0027456712,0.00009416296,0.00058299286,0.7736793,0.098864846,0.012904133,0.006638965,0.096950114],"study_design_scores_gemma":[0.002853844,0.00047340893,0.000013607365,0.003434283,0.00064432813,0.00024940236,0.0000035637493,0.7967824,0.10033703,0.0010022519,0.08947264,0.004733253],"about_ca_topic_score_codex":0.0000032914293,"about_ca_topic_score_gemma":3.4960428e-7,"teacher_disagreement_score":0.09221686,"about_ca_system_score_codex":0.00044276603,"about_ca_system_score_gemma":0.00004617245,"threshold_uncertainty_score":0.9992519},"labels":[],"label_agreement":null},{"id":"W1496091444","doi":"10.1016/b978-0-444-54298-4.50054-4","title":"Techno-Economic Assessment and Risk Analysis of Biorefinery Processes","year":2011,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biorefinery; Process (computing); Risk analysis (engineering); Process design; Engineering; Biochemical engineering; Computer science; Work in process; Biofuel; Business; Waste management; Operations management","score_opus":0.007391273601852328,"score_gpt":0.18845657728110213,"score_spread":0.1810653036792498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496091444","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015600353,0.0013197116,0.976749,0.000014501796,0.00086108706,0.00047395378,0.00027195492,0.002403535,0.0023058855],"genre_scores_gemma":[0.4018579,0.004118533,0.5861764,0.00008932484,0.0029316624,0.00026205945,0.0022948394,0.0014710163,0.0007982676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960331,0.0000067241704,0.001643061,0.0011401378,0.00042988762,0.00074710225],"domain_scores_gemma":[0.9977789,0.00029912867,0.0003771862,0.0008570841,0.00022216396,0.00046555584],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00018456818,0.0014478734,0.0020524233,0.0013496879,0.000039698738,0.00013154316,0.0008226812,0.0011383243,0.00013643321],"category_scores_gemma":[0.00004274985,0.001601744,0.0005676747,0.00053397263,0.00012112695,0.00033187828,0.00045173257,0.0014781955,0.000014495863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013938377,0.00005375586,0.00002351232,0.0018436643,0.003507826,0.0000129930995,0.00013718983,0.96408296,0.01693665,0.0049360683,0.00039107035,0.008060387],"study_design_scores_gemma":[0.0005242291,0.000061751336,0.000022980628,0.00055341824,0.0012147638,0.000024638406,8.313363e-7,0.9497614,0.044342455,0.00018756051,0.0018285674,0.0014774407],"about_ca_topic_score_codex":0.0000143647585,"about_ca_topic_score_gemma":0.0000010008058,"teacher_disagreement_score":0.39057264,"about_ca_system_score_codex":0.00053631485,"about_ca_system_score_gemma":0.00009385964,"threshold_uncertainty_score":0.9998271},"labels":[],"label_agreement":null},{"id":"W1514083610","doi":"10.1016/s1570-7946(04)80186-x","title":"Dynamic modelling and control of industrial processes with particle filtering algorithms","year":2004,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Computer science; Particle filter; Process (computing); Estimator; Algorithm; Nonlinear system; Probabilistic logic; Jump; Gaussian process; Process control; State (computer science); Control theory (sociology); Control (management); Gaussian; Control engineering; Engineering; Kalman filter; Artificial intelligence; Mathematics; Statistics","score_opus":0.009060741017265866,"score_gpt":0.1709541453355316,"score_spread":0.16189340431826574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514083610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032073647,0.001369704,0.9624787,0.000028370592,0.0010257392,0.00077217264,0.00008676214,0.001985755,0.00017917501],"genre_scores_gemma":[0.94264436,0.0001058977,0.054583684,0.000032666438,0.0016572695,0.000115155744,0.00008852137,0.00063360826,0.00013885526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99566454,0.00000831478,0.0014933447,0.0011008788,0.0006708802,0.0010620729],"domain_scores_gemma":[0.99783987,0.00039447285,0.00024003792,0.0006968389,0.00019679594,0.00063201215],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00015973789,0.0015325581,0.0019212174,0.00034430742,0.000046675945,0.00017006625,0.00063185644,0.0010814173,0.000025551295],"category_scores_gemma":[0.000034542154,0.0016155783,0.00033688822,0.00027963094,0.00011755314,0.00028545756,0.00023870895,0.0016167865,0.000011212351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057865826,0.00003462919,8.6905493e-7,0.002138105,0.0006330984,0.000063391686,0.00013535495,0.93109995,0.061842836,0.0005029651,0.000019576966,0.0034713736],"study_design_scores_gemma":[0.0033810416,0.00016298961,5.2100006e-7,0.0028351357,0.00019474355,0.00021312431,0.0000018809463,0.93109864,0.059721906,0.00009545762,0.00075017294,0.0015443661],"about_ca_topic_score_codex":0.000008060522,"about_ca_topic_score_gemma":4.7440855e-7,"teacher_disagreement_score":0.9105707,"about_ca_system_score_codex":0.00048729964,"about_ca_system_score_gemma":0.000104375395,"threshold_uncertainty_score":0.9997423},"labels":[],"label_agreement":null},{"id":"W1529630524","doi":"10.1016/s1570-7946(06)80083-0","title":"Monitoring and improving LP optimization with uncertain parameters","year":2006,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Linear programming; Scheduling (production processes); Computer science; Closed loop; Control theory (sociology); Mathematical optimization; Process (computing); Model predictive control; Loop (graph theory); Control engineering; Engineering; Control (management); Mathematics; Algorithm","score_opus":0.0048482947560171226,"score_gpt":0.16243562774810513,"score_spread":0.15758733299208802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529630524","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003540597,0.0012527447,0.9887082,0.000022075574,0.0013851601,0.00087953656,0.000037737616,0.0035964476,0.000577494],"genre_scores_gemma":[0.07166733,0.000118262295,0.9212177,0.00003489101,0.0043014544,0.00020551214,0.0004341613,0.0014495327,0.0005711818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945883,0.000011705293,0.0015783024,0.0016208772,0.00078061206,0.001420217],"domain_scores_gemma":[0.99731565,0.00043888317,0.00031659976,0.0010177381,0.00022682674,0.00068428053],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00016629402,0.0021669364,0.0018953566,0.00060093973,0.0000787675,0.00035065494,0.00076506805,0.001291601,0.000011959035],"category_scores_gemma":[0.00004108625,0.0024301815,0.0003684922,0.00030575448,0.000107192325,0.00055564346,0.00044185153,0.0018663175,0.0000118454245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023057524,0.000020001375,0.0000030214726,0.0011960645,0.0003731619,0.00009288942,0.00005725697,0.9631769,0.028085824,0.0003309283,0.0001354152,0.006505479],"study_design_scores_gemma":[0.0015594817,0.00009084979,0.0000025693885,0.0018641636,0.00020794186,0.00021872272,0.000001181198,0.96877587,0.024135774,0.000043752698,0.00067963364,0.0024200634],"about_ca_topic_score_codex":0.000011923844,"about_ca_topic_score_gemma":1.6039162e-7,"teacher_disagreement_score":0.06812673,"about_ca_system_score_codex":0.0010476283,"about_ca_system_score_gemma":0.000046129167,"threshold_uncertainty_score":0.9991071},"labels":[],"label_agreement":null},{"id":"W1537458271","doi":"10.1016/s1570-7946(03)80518-7","title":"Incident prevention training simulator","year":2003,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Training (meteorology); Simulation; Computer science; Physics","score_opus":0.009900223505762683,"score_gpt":0.1895941584804454,"score_spread":0.1796939349746827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537458271","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002596475,0.0012789972,0.9843511,0.00003470588,0.0038471285,0.001169731,0.00005202942,0.0048843212,0.0017855227],"genre_scores_gemma":[0.24320023,0.0002707571,0.7262168,0.00047974876,0.017313778,0.0006049466,0.0017805209,0.004705039,0.005428204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99275386,0.000021065129,0.0024849018,0.0018213145,0.0010797532,0.0018391081],"domain_scores_gemma":[0.9963429,0.00048121408,0.00040286174,0.0014740606,0.0002650185,0.0010339268],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00031036444,0.002581395,0.0026038657,0.0007261047,0.00007636149,0.0002748192,0.001243937,0.0019433682,0.0001083736],"category_scores_gemma":[0.000106102,0.0032164236,0.0010719794,0.00035620798,0.000082257866,0.0005559905,0.00050589675,0.002631432,0.00012245619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014781095,0.000037955448,4.5704067e-7,0.0009878083,0.00063597184,0.0000932888,0.0001724161,0.93933624,0.047024745,0.003016079,0.0009565553,0.007723694],"study_design_scores_gemma":[0.001793653,0.00008460659,0.0000012456082,0.0016788271,0.0002233095,0.00023026406,0.0000015496879,0.95419496,0.0184581,0.0004862855,0.019898914,0.002948305],"about_ca_topic_score_codex":0.0000015413483,"about_ca_topic_score_gemma":1.8443585e-7,"teacher_disagreement_score":0.2581343,"about_ca_system_score_codex":0.0016171489,"about_ca_system_score_gemma":0.00007707024,"threshold_uncertainty_score":0.99966955},"labels":[],"label_agreement":null},{"id":"W1555909135","doi":"10.1016/s1570-7946(09)70605-4","title":"Probabilistic Modelling and Stochastic Dynamic Optimization for Managing Abnormal Situations in Plant-Wide Operations","year":2009,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Probabilistic logic; Separator (oil production); Computer science; Stochastic matrix; Profit (economics); Engineering; Mathematical optimization; Reliability engineering; Operations research; Mathematics; Artificial intelligence; Machine learning","score_opus":0.006767618300566868,"score_gpt":0.1771332990585895,"score_spread":0.1703656807580226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555909135","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026777124,0.0005790129,0.9924529,0.00007506903,0.0009907349,0.0013055018,0.00009360465,0.0016354631,0.00018999845],"genre_scores_gemma":[0.44895905,0.00020282519,0.5421484,0.00019854988,0.0033955548,0.0008550516,0.0021447341,0.0012834595,0.00081239216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959801,0.000009429218,0.0014925291,0.0011056009,0.00041260087,0.0009997635],"domain_scores_gemma":[0.9982088,0.0005111789,0.00011259234,0.0005825168,0.00013107742,0.00045380165],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00020207062,0.0013028197,0.001353476,0.0007423002,0.00008196414,0.0002741669,0.0005150029,0.0008775737,0.000014205557],"category_scores_gemma":[0.00005599102,0.0016089828,0.00034710503,0.00022803662,0.000048716323,0.00033149257,0.00018023446,0.0012916459,0.000008859447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001939632,0.000029396013,7.725968e-8,0.00084361143,0.00017020936,0.000018718274,0.00013652774,0.98953307,0.003415845,0.0019546486,0.000063097075,0.0038154088],"study_design_scores_gemma":[0.0014329085,0.00006527103,7.5190934e-7,0.0012897991,0.00012504873,0.00011399367,0.000001809273,0.9940615,0.0005532975,0.00042754158,0.0004047459,0.001523283],"about_ca_topic_score_codex":0.0000054402635,"about_ca_topic_score_gemma":0.0000021691344,"teacher_disagreement_score":0.4503045,"about_ca_system_score_codex":0.0007613263,"about_ca_system_score_gemma":0.00004340992,"threshold_uncertainty_score":0.99997234},"labels":[],"label_agreement":null},{"id":"W1557423190","doi":"10.1016/s1570-7946(03)80070-6","title":"Multivariate weighted least squares as an alternative to the determinant criterion for multiresponse parameter estimation","year":2003,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Multivariate statistics; Monte Carlo method; Weighting; Statistics; Applied mathematics; Generalized least squares; Equivalence (formal languages); Least-squares function approximation; Estimation theory; Ordinary least squares; Explained sum of squares; Covariance; Total sum of squares; Non-linear least squares; Lack-of-fit sum of squares; Estimator","score_opus":0.026463763018282897,"score_gpt":0.26276246324457797,"score_spread":0.23629870022629507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557423190","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089295216,0.00009816253,0.9065763,0.0005392665,0.0012385605,0.0013285688,0.00030367266,0.00056787446,0.000052430263],"genre_scores_gemma":[0.10973399,0.00001292001,0.8822576,0.0012099413,0.004439679,0.00033753342,0.0010276387,0.00012441452,0.0008562989],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952197,0.00008665359,0.0012928154,0.0016978431,0.00063360407,0.001069386],"domain_scores_gemma":[0.994728,0.003327076,0.00029265438,0.00052938366,0.00030522465,0.00081764284],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00052307005,0.0013416827,0.00140494,0.0001425003,0.00016507207,0.00036003283,0.0011626864,0.00078776304,0.00011744459],"category_scores_gemma":[0.0005741529,0.00072987267,0.00074702647,0.00026276612,0.00009454563,0.00022154252,0.0004122388,0.0010111593,0.00004873987],"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":[0.00046125223,0.00033711208,9.222481e-7,0.00040916444,0.0006093045,0.00013179283,0.00050501915,0.10480649,0.54689586,0.009255475,0.00077338837,0.3358142],"study_design_scores_gemma":[0.0005469946,0.0004577044,0.000024572746,0.000399421,0.00018505135,0.00008172466,0.0000026721216,0.92877936,0.054417558,0.0014825589,0.012201926,0.0014204343],"about_ca_topic_score_codex":0.000029229946,"about_ca_topic_score_gemma":0.0000015406106,"teacher_disagreement_score":0.8239729,"about_ca_system_score_codex":0.00027141848,"about_ca_system_score_gemma":0.000017526321,"threshold_uncertainty_score":0.9999334},"labels":[],"label_agreement":null},{"id":"W1563603078","doi":"10.1016/b978-0-444-53711-9.50108-5","title":"Tight Convex and Concave Relaxations via Taylor Models for Global Dynamic Optimization","year":2011,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Regular polygon; Pointwise; Concave function; Ode; Effective domain; Interval (graph theory); Discretization; Remainder; Parametric statistics; Applied mathematics; Nonlinear system; Convex analysis; Mathematical optimization; Convex optimization; Mathematical analysis; Combinatorics; Geometry","score_opus":0.02342056728203574,"score_gpt":0.25163655490760795,"score_spread":0.22821598762557221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563603078","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000082032166,0.0003194392,0.9947621,0.00009475632,0.00079380657,0.00150089,0.00019776331,0.0014443884,0.00080481946],"genre_scores_gemma":[0.002736869,0.00009408448,0.9928688,0.00010088865,0.0011773427,0.00023956408,0.00078989775,0.0006153348,0.0013772282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99449134,0.000016085014,0.0017080918,0.0017410166,0.00077051454,0.0012729382],"domain_scores_gemma":[0.99584556,0.0010614356,0.00049352273,0.0010730143,0.00063995103,0.00088649604],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.000247226,0.0016481064,0.0018459077,0.0004011631,0.000108644694,0.00018735736,0.0009838176,0.0015016774,0.000096695876],"category_scores_gemma":[0.00022801108,0.0019001163,0.00056589406,0.00027623022,0.00019250563,0.00048272352,0.0009789494,0.0014309689,0.000016117774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005022077,0.000101481884,1.6024657e-7,0.0012981134,0.0005554099,0.000033956498,0.00014761837,0.9054562,0.002395874,0.083376445,0.00057651754,0.006008013],"study_design_scores_gemma":[0.0018318618,0.00010644794,2.286807e-7,0.0005637719,0.00021006697,0.00016643989,8.152967e-7,0.96265745,0.0031809923,0.028381247,0.0011547761,0.001745911],"about_ca_topic_score_codex":0.0000020042396,"about_ca_topic_score_gemma":1.8621809e-7,"teacher_disagreement_score":0.057201248,"about_ca_system_score_codex":0.0010344614,"about_ca_system_score_gemma":0.00009244107,"threshold_uncertainty_score":0.9997946},"labels":[],"label_agreement":null},{"id":"W1568358497","doi":"10.1016/s1570-7946(06)80275-0","title":"Chapter 1 Optimal steady-state transitions under constrained predictive control","year":2006,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Control theory (sociology); State (computer science); Control (management); Steady state (chemistry); Computer science; Mathematics; Artificial intelligence; Algorithm; Chemistry; Physical chemistry","score_opus":0.004601962827426987,"score_gpt":0.16557022305959382,"score_spread":0.16096826023216684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568358497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010135657,0.00073693605,0.98570687,0.00009065604,0.0020202494,0.0014393185,0.00060925586,0.0053632935,0.0030198703],"genre_scores_gemma":[0.67578524,0.000111928486,0.30383873,0.00038874644,0.010638711,0.00061666087,0.0026163417,0.00327148,0.0027321498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99264467,0.00001842149,0.0024828855,0.0018980298,0.0010161236,0.0019398563],"domain_scores_gemma":[0.9964266,0.0005448735,0.00035140643,0.0013014363,0.00037873565,0.0009969638],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00020820566,0.0028273177,0.0027642325,0.0007668287,0.00009772769,0.0002674725,0.0011424577,0.0016565302,0.000110605215],"category_scores_gemma":[0.000028939497,0.0034233944,0.0011144285,0.00027442505,0.00022412055,0.00055887905,0.0003008075,0.0027793397,0.00009970572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000504726,0.00005256623,2.3790867e-7,0.00062336423,0.0010819562,0.00013681737,0.000114011214,0.9308574,0.0593302,0.0055688084,0.00061592326,0.0015681986],"study_design_scores_gemma":[0.0036702878,0.00012870817,0.0000025023683,0.0012092886,0.00036976192,0.00028748,0.0000018176768,0.97715354,0.010114905,0.00032982972,0.0037019474,0.0030299479],"about_ca_topic_score_codex":0.000004325386,"about_ca_topic_score_gemma":3.2731558e-7,"teacher_disagreement_score":0.68186814,"about_ca_system_score_codex":0.001157459,"about_ca_system_score_gemma":0.00007180902,"threshold_uncertainty_score":0.9996395},"labels":[],"label_agreement":null},{"id":"W1570216244","doi":"10.1016/b978-0-444-63455-9.50095-7","title":"An Improved Linear Programming Approach for Simultaneous Optimization of Water and Energy","year":2014,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","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":"Natural Resources Canada","funders":"","keywords":"Integer programming; Mathematical optimization; Linear programming; Heat exchanger; Computer science; Energy consumption; Process engineering; Thermal; Mixing (physics); Engineering; Mathematics; Mechanical engineering; Thermodynamics","score_opus":0.005188590776359887,"score_gpt":0.1760000111793871,"score_spread":0.17081142040302721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570216244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002809586,0.0002528483,0.9965029,0.00001111975,0.0005396487,0.00048199948,0.000043720815,0.0016471283,0.0002396948],"genre_scores_gemma":[0.049996626,0.00007559007,0.9435633,0.00006576978,0.0022438352,0.00016353598,0.0028487279,0.00067035103,0.0003722899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99624,0.000008226501,0.0013789661,0.0011045629,0.0003781364,0.00089010346],"domain_scores_gemma":[0.9979585,0.00025757332,0.00018464414,0.00070309127,0.00036919027,0.000527006],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0001766374,0.0013385006,0.0014396006,0.00043427764,0.000048226288,0.00015797948,0.0006809381,0.0012215562,0.00001730717],"category_scores_gemma":[0.00005410834,0.0013440367,0.00037378917,0.00013340809,0.00008448164,0.0002759542,0.00023312905,0.00079981657,0.0000015898297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026615624,0.000046495974,7.4019816e-8,0.0017008473,0.00022438135,0.0000031664204,0.0001092713,0.90063894,0.080411986,0.001585708,0.00006579144,0.0151867],"study_design_scores_gemma":[0.00088299275,0.00015637426,2.7487477e-8,0.00031029046,0.00011941299,0.000040403513,8.9680333e-7,0.87292355,0.119674176,0.000032898424,0.0045800614,0.0012788996],"about_ca_topic_score_codex":0.0000023177383,"about_ca_topic_score_gemma":7.499891e-8,"teacher_disagreement_score":0.052939605,"about_ca_system_score_codex":0.00022937392,"about_ca_system_score_gemma":0.000025602956,"threshold_uncertainty_score":0.99993664},"labels":[],"label_agreement":null},{"id":"W1588700440","doi":"10.1016/b978-0-444-54298-4.50068-4","title":"Model-driven design based on sensitivity analysis for a synthetic biology application","year":2011,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Synthetic biology; Biochemical engineering; Organism; Sensitivity (control systems); Metabolic engineering; Computer science; Flux (metallurgy); Biological system; Control engineering; Engineering; Biology; Computational biology; Chemistry; Electronic engineering; Gene","score_opus":0.014420357461609763,"score_gpt":0.19891419478877484,"score_spread":0.18449383732716507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588700440","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028441648,0.00015238962,0.9947341,0.000045890498,0.0006011499,0.00086874433,0.00016522696,0.0004932278,0.00009511215],"genre_scores_gemma":[0.4707522,0.00004428112,0.5210065,0.00021010781,0.0043274905,0.00026836054,0.0023524216,0.0005046993,0.00053391693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957792,0.000023793042,0.00095161935,0.0020459052,0.0002807387,0.0009187169],"domain_scores_gemma":[0.99747384,0.00014478153,0.00028305495,0.0014148235,0.00025721808,0.0004263102],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00036913186,0.0013727326,0.0014285339,0.0005614269,0.000056932742,0.00006139811,0.00063706137,0.0014964917,0.000010482372],"category_scores_gemma":[0.000102806756,0.0015099988,0.0010727921,0.00024984273,0.00009235334,0.0000147352575,0.0003324188,0.000824627,0.000015989111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062714105,0.0000556192,4.7081167e-7,0.0001701687,0.00051231694,0.000002784449,0.000010468438,0.5203343,0.47613516,0.00088316354,0.0001692223,0.0016636387],"study_design_scores_gemma":[0.00054554385,0.0001562696,0.000001253484,0.00013897217,0.00044822425,0.000021410406,7.276143e-8,0.7016292,0.2921123,0.00008122376,0.0037679146,0.001097572],"about_ca_topic_score_codex":0.0000039979964,"about_ca_topic_score_gemma":2.2018635e-7,"teacher_disagreement_score":0.47372758,"about_ca_system_score_codex":0.00020041347,"about_ca_system_score_gemma":0.00007574391,"threshold_uncertainty_score":0.9999023},"labels":[],"label_agreement":null},{"id":"W1598645022","doi":"10.1016/s1570-7946(06)80127-6","title":"On the rapid development of new products through empirical modeling with diverse data-bases","year":2006,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Development (topology); Data science; Mathematics","score_opus":0.037254240551072834,"score_gpt":0.2071355889526143,"score_spread":0.16988134840154145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598645022","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008401606,0.0004933188,0.98698705,0.00009548304,0.00076264096,0.0006461882,0.000061910985,0.0015547391,0.0009970606],"genre_scores_gemma":[0.13682027,0.0000916642,0.85338044,0.00024424505,0.005137072,0.00008685755,0.0022250623,0.001231985,0.0007823803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99504477,0.000007917772,0.0014846739,0.0014820219,0.0009781776,0.0010024142],"domain_scores_gemma":[0.9970541,0.00038840866,0.00023530198,0.0017642548,0.00019414745,0.00036376374],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00019450347,0.0016846611,0.0014537713,0.00028935893,0.00008069233,0.00015521585,0.001809552,0.0007457475,0.000075428776],"category_scores_gemma":[0.000054577635,0.0014299907,0.0002550551,0.0002737157,0.000081362705,0.0003323106,0.00092332816,0.0016679518,0.000025680429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033322664,0.000057461864,1.9706611e-7,0.0012779076,0.00043701608,0.000027466462,0.0002453584,0.98356825,0.0020607773,0.0008677743,0.006365235,0.005059219],"study_design_scores_gemma":[0.00073947443,0.000059770246,6.377472e-7,0.0014468282,0.00014030366,0.000036299654,0.0000012121327,0.90749604,0.07874655,0.0001110186,0.009723546,0.0014983121],"about_ca_topic_score_codex":0.0000059572985,"about_ca_topic_score_gemma":2.679368e-7,"teacher_disagreement_score":0.1336066,"about_ca_system_score_codex":0.00038664698,"about_ca_system_score_gemma":0.00016715872,"threshold_uncertainty_score":0.99959},"labels":[],"label_agreement":null},{"id":"W1603220866","doi":"10.1016/s1570-7946(03)80576-x","title":"Monitoring, diagnosing and improving the performance of LP-based real-time optimization systems","year":2003,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Real-time computing","score_opus":0.004217191179684504,"score_gpt":0.16112769353756598,"score_spread":0.15691050235788148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603220866","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019816944,0.0022677276,0.971656,0.000020662,0.0024979885,0.0012192224,0.00004019755,0.002120615,0.00036059614],"genre_scores_gemma":[0.3515699,0.001074299,0.6358584,0.000067295085,0.007429825,0.00049092405,0.00042309813,0.0023861572,0.0007000671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99530315,0.000021537102,0.0018059642,0.0010949806,0.0007284707,0.001045892],"domain_scores_gemma":[0.99698716,0.0007430635,0.00044487132,0.0011032881,0.0002788028,0.0004428215],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00031141363,0.0016004037,0.001758084,0.00043429423,0.0000849044,0.00022064605,0.0008299501,0.0010593428,0.000012405213],"category_scores_gemma":[0.00007062046,0.0016439976,0.00037800605,0.00028168035,0.00011484716,0.00038213452,0.00031974507,0.0013563143,0.0000089884525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000123681075,0.000018497243,0.0000051034003,0.0020286539,0.00023337668,0.000013182112,0.000051044397,0.90418553,0.09139299,0.00025974007,0.000083720806,0.0017157759],"study_design_scores_gemma":[0.0009950902,0.00007602342,0.0000030498156,0.0024516364,0.00017142564,0.00007636751,8.8723107e-7,0.9382588,0.056158956,0.0000051121574,0.00040990007,0.0013927465],"about_ca_topic_score_codex":0.0000062241706,"about_ca_topic_score_gemma":2.2306581e-8,"teacher_disagreement_score":0.3357976,"about_ca_system_score_codex":0.0006928999,"about_ca_system_score_gemma":0.000047990798,"threshold_uncertainty_score":0.9996744},"labels":[],"label_agreement":null},{"id":"W17731937","doi":"10.1016/b978-0-444-63456-6.50048-x","title":"Inventory Pinch Based Multi-Scale Model for Refinery Production Planning","year":2014,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Refinery; Pinch analysis; Production (economics); Mathematical optimization; Production planning; Integer (computer science); Computer science; Nonlinear system; Decomposition; Scale (ratio); Work (physics); Plan (archaeology); Algorithm; Mathematics; Engineering; Process engineering; Waste management; Economics","score_opus":0.0190980412339993,"score_gpt":0.20560084083189867,"score_spread":0.18650279959789937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W17731937","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000770633,0.00048325706,0.9913051,0.00006678446,0.0023061286,0.0008260532,0.00006206897,0.003764275,0.00041570576],"genre_scores_gemma":[0.029336438,0.000059519138,0.9562993,0.00035221115,0.0066331644,0.00048470075,0.002176778,0.0014254834,0.0032323739],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99498624,0.0000087878325,0.0016361445,0.001544567,0.00063507695,0.0011892132],"domain_scores_gemma":[0.9974593,0.00022329051,0.00026198057,0.0010307109,0.00037479203,0.00064995483],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002813844,0.0018137876,0.0016066699,0.00069719204,0.00008130569,0.00020399557,0.00096855673,0.0015016146,0.00002722633],"category_scores_gemma":[0.00011747538,0.0021379294,0.0007295212,0.00023004571,0.000078690355,0.00033422027,0.00027806638,0.001779795,0.0000318119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026214304,0.000047199905,6.566845e-7,0.0019366831,0.00019583042,0.0000057536636,0.000112069596,0.9262081,0.06267295,0.0008420073,0.0055748834,0.0023776724],"study_design_scores_gemma":[0.0012732034,0.000055545344,5.694297e-7,0.0014969936,0.00013232013,0.000031243093,5.370702e-7,0.92710006,0.06000107,0.000086465945,0.007811801,0.002010169],"about_ca_topic_score_codex":0.0000010412001,"about_ca_topic_score_gemma":2.1931291e-7,"teacher_disagreement_score":0.035005763,"about_ca_system_score_codex":0.00080940773,"about_ca_system_score_gemma":0.00008816274,"threshold_uncertainty_score":0.99979466},"labels":[],"label_agreement":null},{"id":"W1858882","doi":"10.1016/b978-0-444-59519-5.50050-2","title":"Combining coal, natural gas, and nuclear heat for liquid fuels production with reduced CO2 emissions","year":2012,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Coal; Environmental science; Waste management; Natural gas; Production (economics); Liquid fuel; Petroleum engineering; Chemistry; Engineering; Economics; Combustion","score_opus":0.007782351544284069,"score_gpt":0.18042678238152915,"score_spread":0.17264443083724507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1858882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60962576,0.02477346,0.3222214,0.0010961605,0.01115788,0.005762513,0.00040938825,0.022527397,0.002426032],"genre_scores_gemma":[0.85394657,0.000523939,0.12928577,0.00022583353,0.011168258,0.0002988249,0.0012205993,0.00229261,0.0010375797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9945077,0.000008895518,0.0013811021,0.0016921975,0.00067406264,0.0017360571],"domain_scores_gemma":[0.9967505,0.0005989202,0.00018363191,0.0010069145,0.00026455865,0.0011954801],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00019336131,0.0021400356,0.0020575116,0.0003582533,0.00012598446,0.00022269829,0.0009076564,0.0013727722,0.000039546365],"category_scores_gemma":[0.00012289497,0.002206403,0.00053239905,0.00024997265,0.00017089423,0.00039982764,0.000612546,0.002659263,0.000021971462],"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":[0.0001877222,0.0000926782,2.95059e-7,0.0040444173,0.000749019,0.000025582642,0.0002546184,0.04221787,0.94580287,0.0012234653,0.0026905558,0.00271089],"study_design_scores_gemma":[0.0016291634,0.00020476138,5.466402e-7,0.0034107233,0.00036648582,0.00049472385,0.0000027568324,0.42143103,0.55282277,0.0001840134,0.016427942,0.0030250938],"about_ca_topic_score_codex":0.000002838216,"about_ca_topic_score_gemma":9.596176e-8,"teacher_disagreement_score":0.39298013,"about_ca_system_score_codex":0.0008081839,"about_ca_system_score_gemma":0.000052175637,"threshold_uncertainty_score":0.99992365},"labels":[],"label_agreement":null},{"id":"W2222550087","doi":"10.1016/b978-0-444-63433-7.50123-1","title":"International Programming Committee","year":2014,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","score_opus":0.008769666577783613,"score_gpt":0.19903572430967914,"score_spread":0.19026605773189553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222550087","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036373414,0.00030077787,0.9861982,0.000508515,0.004841282,0.0005382514,0.000012390029,0.005599818,0.0016370589],"genre_scores_gemma":[0.015670387,0.000025120022,0.9708657,0.0003876501,0.008692531,0.00010594451,0.00035710772,0.0006358194,0.0032597387],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99183345,0.000038512804,0.001931614,0.0027173616,0.0015065498,0.0019725172],"domain_scores_gemma":[0.9948089,0.00085881294,0.0005945203,0.0023094113,0.00031727774,0.0011110677],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0007053913,0.0022588847,0.0020236764,0.000841686,0.0001509525,0.0011846948,0.005440003,0.0015508155,0.00005858607],"category_scores_gemma":[0.00017987295,0.002583424,0.0011843577,0.00035802939,0.00014194228,0.0005047125,0.0034645018,0.004568171,0.00022409066],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028010769,0.00022071654,0.0000056019794,0.0011771685,0.0013054885,0.00039844634,0.000795577,0.11972678,0.01293322,0.09886483,0.0055449526,0.7589992],"study_design_scores_gemma":[0.0008313511,0.000099732555,0.0000023978748,0.0009603025,0.000067478606,0.00029551584,5.104615e-7,0.5610429,0.0028664207,0.00013819987,0.4317405,0.0019546617],"about_ca_topic_score_codex":0.000008887805,"about_ca_topic_score_gemma":1.0921393e-7,"teacher_disagreement_score":0.75704455,"about_ca_system_score_codex":0.0007776696,"about_ca_system_score_gemma":0.00009461405,"threshold_uncertainty_score":0.99994105},"labels":[],"label_agreement":null},{"id":"W2306430032","doi":"10.1016/b978-0-444-63455-9.50009-x","title":"Simulation of Carbon Dioxide Capture Using Ionic Liquid 1-Ethyl-3-methylimidazolium Acetate","year":2014,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Center of Excellence on Petrochemical and Materials Technology; Chulalongkorn University","keywords":"Ionic liquid; Carbon dioxide; Chemistry; Ethyl acetate; Chromatography; Chemical engineering; Organic chemistry; Engineering; Catalysis","score_opus":0.009586077528360491,"score_gpt":0.1932473786277099,"score_spread":0.18366130109934942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306430032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13665196,0.003294397,0.8443263,0.00005460006,0.004056178,0.0012468746,0.000107767715,0.009061206,0.0012007257],"genre_scores_gemma":[0.8883895,0.00010525404,0.105112225,0.000081074344,0.0040910747,0.00007189967,0.00027605364,0.0015920979,0.00028079268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925101,0.000020958063,0.00261088,0.0018318215,0.0011815554,0.001844722],"domain_scores_gemma":[0.99508923,0.0010641596,0.00053857954,0.0021939424,0.00038527368,0.0007287876],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0003486747,0.002839354,0.0033939967,0.0012123964,0.000029437004,0.00012024189,0.0019112551,0.0031223379,0.000035437988],"category_scores_gemma":[0.00022362916,0.0033557173,0.0012865022,0.0005363012,0.00024607917,0.00023480889,0.0012747796,0.0037056212,0.000021306307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029773078,0.000019877589,3.2643388e-7,0.0013697023,0.00048775703,0.000052616815,0.00009006373,0.65103805,0.34488073,0.0010503576,0.000069436814,0.0009113142],"study_design_scores_gemma":[0.0008574862,0.00008133772,9.747062e-7,0.0013979949,0.000287861,0.0000933729,0.0000012816141,0.7208149,0.27242053,0.0001478507,0.0017027204,0.0021937087],"about_ca_topic_score_codex":0.000013310678,"about_ca_topic_score_gemma":3.441549e-7,"teacher_disagreement_score":0.7517376,"about_ca_system_score_codex":0.0013907464,"about_ca_system_score_gemma":0.000085377455,"threshold_uncertainty_score":0.99859285},"labels":[],"label_agreement":null},{"id":"W2322730281","doi":"10.1016/b978-0-444-63455-9.50115-x","title":"Techno-economic Analysis of a Thermochemical Lignocellulosic Biomass-to-Butanol Process","year":2014,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lignocellulosic biomass; Biomass (ecology); Biochemical engineering; Butanol; Process (computing); Process integration; Biofuel; Production (economics); Economic analysis; Process engineering; Computer science; Waste management; Engineering; Chemistry; Economics; Agricultural economics; Microeconomics","score_opus":0.004552308704635986,"score_gpt":0.17556606569600772,"score_spread":0.17101375699137172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322730281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25159582,0.0008298213,0.7348031,0.000098786775,0.0026002568,0.0015525852,0.00041754998,0.0064900685,0.0016120477],"genre_scores_gemma":[0.9325043,0.00004606875,0.05970502,0.00011895389,0.003414143,0.00020004473,0.0019909374,0.0015530222,0.000467492],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99235314,0.000010447259,0.0026549161,0.0022382415,0.0010614191,0.0016818434],"domain_scores_gemma":[0.99533075,0.0005113924,0.00043663106,0.0022727377,0.00025193463,0.001196537],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00029612638,0.002596445,0.003953363,0.00277405,0.00005451783,0.00016935382,0.002528395,0.002170294,0.00020581251],"category_scores_gemma":[0.00005638142,0.0030786372,0.00217572,0.00126777,0.00018776511,0.00021010202,0.0011505089,0.0018231793,0.00020943317],"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":[0.0000349697,0.000048988233,0.0000035817334,0.001519181,0.004098384,0.00004170703,0.00012052506,0.4518236,0.53747076,0.0009428895,0.0007321318,0.0031632925],"study_design_scores_gemma":[0.00056631205,0.00007147394,0.0000031647846,0.00054456334,0.0012415625,0.000041202315,7.4023654e-7,0.59503555,0.3984559,0.000061558254,0.0021216064,0.0018563945],"about_ca_topic_score_codex":0.000010594842,"about_ca_topic_score_gemma":5.457493e-7,"teacher_disagreement_score":0.6809085,"about_ca_system_score_codex":0.0014180527,"about_ca_system_score_gemma":0.0000793068,"threshold_uncertainty_score":0.9991251},"labels":[],"label_agreement":null},{"id":"W2477070125","doi":"10.1016/b978-0-444-63576-1.50098-4","title":"Dynamic Response of Fuel Cell Gas Turbine Hybrid to Fuel Composition Changes using Hardware-based Simulations","year":2015,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Solid oxide fuel cell; Flexibility (engineering); Process engineering; Hybrid system; Gas compressor; Automotive engineering; Transient (computer programming); Turbine; Syngas; Engineering; Mechanical engineering; Computer science; Chemistry","score_opus":0.01746255290296569,"score_gpt":0.23756607024070978,"score_spread":0.22010351733774408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477070125","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13255328,0.0011380308,0.85985637,0.00012229868,0.0026882647,0.0013381267,0.000786543,0.001349945,0.0001671518],"genre_scores_gemma":[0.38176808,0.000019224746,0.61438143,0.00022459842,0.0015873959,0.000056504115,0.0008173238,0.0007107193,0.00043472488],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99313474,0.000048525733,0.0019554505,0.001956296,0.0014219787,0.0014830058],"domain_scores_gemma":[0.99488246,0.0009754055,0.000668596,0.0016863333,0.00067171693,0.0011154823],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00054165674,0.0019223393,0.0022363383,0.00090490206,0.000064281856,0.00017986567,0.0016708984,0.00083323393,0.00020765244],"category_scores_gemma":[0.00013180758,0.0022909618,0.00053861894,0.00036972933,0.00017884221,0.00030873934,0.001406303,0.001267308,0.00010457678],"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":[0.0001690369,0.000085463194,1.5975849e-7,0.0011318795,0.00005774892,0.00005888083,0.00008523587,0.49178538,0.5062055,0.00007020451,0.00018248093,0.00016802827],"study_design_scores_gemma":[0.0012150044,0.0001657309,6.0601025e-7,0.0011058048,0.00013127047,0.000054464464,7.5893473e-7,0.5788943,0.41371295,0.00014273888,0.0032152496,0.0013611033],"about_ca_topic_score_codex":0.0000054294055,"about_ca_topic_score_gemma":2.2653663e-7,"teacher_disagreement_score":0.2492148,"about_ca_system_score_codex":0.0018423833,"about_ca_system_score_gemma":0.00021490763,"threshold_uncertainty_score":0.99935204},"labels":[],"label_agreement":null},{"id":"W2497232582","doi":"10.1016/b978-0-444-63428-3.50243-5","title":"Optimal Design of an Integrated Radiant Syngas Cooler and Steam Methane Reformer using NLP and Meta-heuristic Algorithms","year":2016,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Solver; Syngas; Computer science; Heuristic; Meta heuristic; Particle swarm optimization; Mathematical optimization; Algorithm; Process engineering; Artificial intelligence; Mathematics; Engineering; Chemistry","score_opus":0.02423486818410183,"score_gpt":0.22280677484556127,"score_spread":0.19857190666145944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2497232582","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03295891,0.002658668,0.9605744,0.00003657643,0.0008343421,0.0011200568,0.00031343952,0.001376322,0.00012732609],"genre_scores_gemma":[0.045854613,0.00026425454,0.94570386,0.00009995212,0.0036932998,0.00016955835,0.0006022023,0.0019909055,0.0016213713],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99211687,0.000040896874,0.0025987327,0.0023595141,0.001067751,0.0018162362],"domain_scores_gemma":[0.9947986,0.0010891341,0.0006653287,0.0015166099,0.0003645809,0.001565722],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0006851549,0.0028015773,0.0043760366,0.00097455166,0.00006859477,0.00012438862,0.0012432405,0.001863752,0.000104522755],"category_scores_gemma":[0.00023577755,0.0024810166,0.0009114496,0.00036042667,0.00034685872,0.000671844,0.0014095894,0.0025083905,0.000014127008],"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":[0.00012432547,0.00010171829,1.7337743e-7,0.0018358179,0.004297774,0.00024677376,0.00018168049,0.19937097,0.78180987,0.0016840936,0.000026893194,0.01031991],"study_design_scores_gemma":[0.0014848887,0.00016728323,4.6509857e-7,0.0009530858,0.0022842768,0.00086310087,0.0000022912695,0.68506336,0.30617633,0.000083822415,0.0008418177,0.0020792831],"about_ca_topic_score_codex":0.000032510397,"about_ca_topic_score_gemma":1.3827352e-7,"teacher_disagreement_score":0.48569238,"about_ca_system_score_codex":0.00088340463,"about_ca_system_score_gemma":0.00013144556,"threshold_uncertainty_score":0.9997929},"labels":[],"label_agreement":null},{"id":"W2767608087","doi":"10.1016/b978-0-444-63965-3.50269-5","title":"Coordination of distributed MPC systems through dynamic real-time optimization with closed-loop prediction","year":2017,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Closed loop; Computer science; Loop (graph theory); Control theory (sociology); Control engineering; Engineering; Mathematics; Control (management); Artificial intelligence","score_opus":0.004361499211465719,"score_gpt":0.17582858361106385,"score_spread":0.17146708439959812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767608087","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013565919,0.00051734544,0.99006295,0.000025715983,0.0016630396,0.0013858032,0.00045358491,0.0033885746,0.0011463645],"genre_scores_gemma":[0.2694542,0.0006783158,0.70014083,0.000029381104,0.0072853183,0.0006950294,0.01462942,0.0034770109,0.0036104722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99429005,0.00001930169,0.0021414126,0.0014262198,0.0010003526,0.0011226414],"domain_scores_gemma":[0.99611765,0.0003543509,0.0008009414,0.0016763578,0.0005851696,0.00046553437],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00021464795,0.0019437635,0.0024270397,0.00047849712,0.000096533535,0.00026371874,0.0011830712,0.001603845,0.000027238308],"category_scores_gemma":[0.000072226896,0.0021780136,0.0004912913,0.00024503525,0.00013950873,0.00086472323,0.00037413923,0.0014022622,0.000024349853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044137574,0.000042939475,8.113848e-7,0.0017522387,0.0007150534,0.00003402543,0.00006524065,0.9174937,0.07734508,0.0013104434,0.00034809063,0.00084821146],"study_design_scores_gemma":[0.0020913063,0.00014543069,0.0000031303443,0.0029749824,0.000332076,0.00013755442,0.0000010735484,0.9819002,0.009417273,0.000051860294,0.0011438808,0.0018012433],"about_ca_topic_score_codex":0.000015295036,"about_ca_topic_score_gemma":2.5990764e-7,"teacher_disagreement_score":0.28992215,"about_ca_system_score_codex":0.0013945152,"about_ca_system_score_gemma":0.00007378728,"threshold_uncertainty_score":0.99969226},"labels":[],"label_agreement":null},{"id":"W2811252372","doi":"10.1016/b978-0-444-64235-6.50245-x","title":"Combining Biomass, Natural Gas, and Carbonless Heat to Produce Liquid Fuels and Electricity","year":2018,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Greenhouse gas; Waste management; Environmental science; Biomass (ecology); Natural gas; Methane; Liquid fuel; Combined cycle; Fossil fuel; Life-cycle assessment; Carbon capture and storage (timeline); Nuclear engineering; Process engineering; Engineering; Environmental engineering; Chemistry; Mechanical engineering; Gas turbines; Climate change; Production (economics)","score_opus":0.007087228471987956,"score_gpt":0.1947496538619887,"score_spread":0.18766242539000075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811252372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8326926,0.0045538074,0.15010175,0.0003728926,0.0038821301,0.0023805802,0.00014804935,0.005177619,0.0006905517],"genre_scores_gemma":[0.782738,0.00022835493,0.1893373,0.0006350222,0.019141104,0.00038054064,0.001232419,0.0032606535,0.0030466681],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99126554,0.000018486395,0.0020757504,0.003115332,0.0011504435,0.0023744341],"domain_scores_gemma":[0.99522746,0.00071525126,0.00029385573,0.0016093829,0.00034754918,0.0018065134],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00047747302,0.0028466054,0.0030261036,0.0010585596,0.00012196405,0.0002664055,0.0014246256,0.0016603682,0.00003914029],"category_scores_gemma":[0.0003046261,0.0031322858,0.00066411216,0.0006096912,0.00023592687,0.00044255363,0.0028484543,0.0032540718,0.000055397853],"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":[0.00013510833,0.000067039524,0.0000015453412,0.0022377165,0.0007113333,0.00015756726,0.0004176635,0.0043861554,0.98539513,0.001454932,0.00029608913,0.0047396915],"study_design_scores_gemma":[0.0012582705,0.00024349181,0.0000023846264,0.0017619886,0.00023970279,0.00074941467,0.0000016311985,0.37766412,0.6101715,0.000098884935,0.0049423343,0.0028662656],"about_ca_topic_score_codex":0.000034506586,"about_ca_topic_score_gemma":6.899682e-7,"teacher_disagreement_score":0.37522364,"about_ca_system_score_codex":0.0010516745,"about_ca_system_score_gemma":0.00008916711,"threshold_uncertainty_score":0.9996357},"labels":[],"label_agreement":null},{"id":"W2887552946","doi":"10.1016/b978-0-444-64241-7.50323-2","title":"Economic Optimization of Integrated Nutrient and Energy Recovery Treatment Trains Using a New Model Library","year":2018,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Train; Energy (signal processing); Environmental science; Nutrient; Computer science; Geography; Mathematics; Biology; Cartography; Ecology; Statistics","score_opus":0.00816027331104707,"score_gpt":0.16339103004451064,"score_spread":0.15523075673346357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887552946","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024998834,0.0003172869,0.97200483,0.000044273893,0.00062814314,0.00036532927,0.00010176489,0.000506694,0.0010328228],"genre_scores_gemma":[0.018518122,0.0008871948,0.9701097,0.00024622644,0.0025340014,0.0000553817,0.00095277955,0.00077075866,0.005925849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964678,0.0000074006757,0.0011212913,0.0013071989,0.000363335,0.0007329547],"domain_scores_gemma":[0.998218,0.00011480156,0.00031703358,0.0006966258,0.000019750421,0.0006337912],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007617636,0.0011939171,0.0012163782,0.00027130582,0.00004070322,0.00011775189,0.00063809194,0.00064251065,0.00046320623],"category_scores_gemma":[0.00000803243,0.0012601215,0.00043310426,0.0001517438,0.00013638733,0.0004041018,0.0011374344,0.00041756,0.000017994636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005935066,0.000086581305,0.0000019231152,0.0001214321,0.00027611433,0.000017688182,0.00011862383,0.9754313,0.013879116,0.0016541238,0.0020286671,0.006325075],"study_design_scores_gemma":[0.0010594286,0.00019796698,7.8813156e-7,0.0004620876,0.00014684565,0.000033018125,6.802831e-7,0.9370073,0.048039082,0.00058396126,0.01139437,0.0010744758],"about_ca_topic_score_codex":0.000048020025,"about_ca_topic_score_gemma":3.7596752e-7,"teacher_disagreement_score":0.03842401,"about_ca_system_score_codex":0.0012495887,"about_ca_system_score_gemma":0.00007974482,"threshold_uncertainty_score":0.9989849},"labels":[],"label_agreement":null},{"id":"W2887866960","doi":"10.1016/b978-0-444-64241-7.50022-7","title":"Methanol Production from Coke Oven Gas and Blast Furnace Gas","year":2018,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Catalysis and Oxidation Reactions","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Blast furnace gas; Methanol; Blast furnace; Waste management; Coke; Molar ratio; Catalysis; Chemistry; Engineering; Organic chemistry","score_opus":0.009453345236733223,"score_gpt":0.19239431976413507,"score_spread":0.18294097452740185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887866960","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15698683,0.0020833632,0.82132655,0.00078693824,0.0073890286,0.0019032954,0.00053450733,0.00659063,0.0023988658],"genre_scores_gemma":[0.21386668,0.0011624519,0.66510254,0.00091575965,0.08161119,0.00071261823,0.009596323,0.00526887,0.021763531],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99263406,0.000018289893,0.0020406246,0.0027185278,0.0011049705,0.0014835268],"domain_scores_gemma":[0.9953318,0.0007571815,0.00052317895,0.0017973866,0.0003966228,0.0011938254],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00030534397,0.002304988,0.0023555472,0.0006965767,0.00011567857,0.00032099086,0.0011930601,0.0017665576,0.0006071952],"category_scores_gemma":[0.00026540976,0.0026311593,0.0009648793,0.00041093226,0.00024517396,0.00050300854,0.0013904023,0.0028419865,0.00030614313],"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":[0.000062819,0.00014934721,0.000001931585,0.0007564461,0.001454781,0.00008930094,0.00037407628,0.0505376,0.9273352,0.0023506135,0.0057469676,0.011140915],"study_design_scores_gemma":[0.0010775207,0.0000706393,0.000004245151,0.0014080898,0.00047481465,0.00023503898,0.0000030537728,0.5807765,0.38318214,0.00041377937,0.029926019,0.0024281822],"about_ca_topic_score_codex":0.000026023126,"about_ca_topic_score_gemma":9.931123e-7,"teacher_disagreement_score":0.5441531,"about_ca_system_score_codex":0.0008294016,"about_ca_system_score_gemma":0.00007067182,"threshold_uncertainty_score":0.99952936},"labels":[],"label_agreement":null},{"id":"W2962806967","doi":"10.1016/b978-0-12-818634-3.50039-4","title":"Design and Operation Optimization for Water and Power Cogeneration System by Reverse Osmosis and Renewable Energy Technologies","year":2019,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Desalination; Cogeneration; Reverse osmosis; Engineering; Time horizon; Renewable energy; Process engineering; Mathematical optimization; Optimal design; Power (physics); Electricity generation; Computer science; Mathematics; Electrical engineering","score_opus":0.0056578249887173195,"score_gpt":0.14840659567348888,"score_spread":0.14274877068477157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962806967","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009933218,0.0005685208,0.99628556,0.00013812952,0.00038288292,0.0005410479,0.000040355157,0.00077399274,0.0002761706],"genre_scores_gemma":[0.18731557,0.00024231509,0.8075659,0.00023154171,0.0006998422,0.00032451047,0.00091313146,0.0005819675,0.0021252285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968573,0.000012697382,0.00073689513,0.0013524444,0.00034594056,0.0006947638],"domain_scores_gemma":[0.9988984,0.00022032391,0.00013705468,0.00046426992,0.00005346152,0.00022648567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017449784,0.0010042496,0.00095781457,0.00016683155,0.00010833922,0.00018592452,0.00033876914,0.00085313694,0.000018218409],"category_scores_gemma":[0.000019776644,0.0009479258,0.00011990405,0.0000745292,0.00013903949,0.00034881133,0.0011412936,0.00034957594,0.0000042965385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000317177,0.000022032344,7.2599397e-7,0.0004241111,0.00018612701,0.000008401322,0.00009049268,0.68888664,0.30238253,0.0027642576,0.0032345857,0.0019683754],"study_design_scores_gemma":[0.00064978434,0.00011680658,1.6079152e-7,0.0002725974,0.00008443712,0.00006728851,0.0000024072801,0.7296952,0.2637312,0.00023013694,0.0042960774,0.00085393025],"about_ca_topic_score_codex":0.000025891028,"about_ca_topic_score_gemma":4.0524498e-7,"teacher_disagreement_score":0.18871967,"about_ca_system_score_codex":0.00042424697,"about_ca_system_score_gemma":0.000010288517,"threshold_uncertainty_score":0.99929714},"labels":[],"label_agreement":null},{"id":"W2963194746","doi":"10.1016/b978-0-12-818634-3.50030-8","title":"A model-based approach for optimizing petroleum refinery configuration for heavy oil processing","year":2019,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oil refinery; Refinery; Residual; Refining (metallurgy); Residual oil; Fluid catalytic cracking; Process engineering; Heuristics; Hydrodesulfurization; Distillation; Engineering; Petroleum engineering; Computer science; Waste management; Cracking; Chemistry; Algorithm","score_opus":0.014371311516801677,"score_gpt":0.19776092167816123,"score_spread":0.18338961016135955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963194746","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013213608,0.00066790124,0.9919201,0.00006188586,0.0010410377,0.00095251534,0.00016809074,0.002912055,0.0021442845],"genre_scores_gemma":[0.017364446,0.000049387196,0.97123677,0.00025571015,0.003058077,0.00071405637,0.004056511,0.0011273335,0.002137693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99464494,0.0000063412176,0.0017695675,0.0016198287,0.0006244291,0.0013348915],"domain_scores_gemma":[0.99734056,0.00037377956,0.00033086084,0.0008694939,0.00054445735,0.0005408743],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00026496954,0.0019486868,0.0019108811,0.0006597478,0.00009741987,0.00041698103,0.000989174,0.0016205085,0.00001744714],"category_scores_gemma":[0.0000807602,0.0022531108,0.00092683634,0.00021620005,0.00006603094,0.00052920973,0.00018411386,0.0014572504,0.0000124830285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079614045,0.000058620877,4.608527e-8,0.0057124384,0.00021844686,0.000002448612,0.0000685165,0.92739064,0.0538632,0.0033958212,0.0014116052,0.0077985954],"study_design_scores_gemma":[0.0021576942,0.000100433936,4.868556e-8,0.001277444,0.00018914424,0.000025002175,0.0000012077703,0.9265,0.061551265,0.00008421143,0.0059453254,0.00216819],"about_ca_topic_score_codex":6.757349e-7,"about_ca_topic_score_gemma":6.392886e-8,"teacher_disagreement_score":0.020683307,"about_ca_system_score_codex":0.00087269145,"about_ca_system_score_gemma":0.00021750605,"threshold_uncertainty_score":0.9996756},"labels":[],"label_agreement":null},{"id":"W2964556333","doi":"10.1016/b978-0-12-818597-1.50057-6","title":"Maximizing Our Impact: A Call for The Standardization Of Techno-Economic Analyses For Sustainable Energy Systems Design Research","year":2019,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Standardization; Status quo; Computer science; Process (computing); Mindset; Context (archaeology); Sustainability; Management science; Risk analysis (engineering); Systems engineering; Engineering; Business; Economics; Geography","score_opus":0.03324931592600855,"score_gpt":0.28576470885703814,"score_spread":0.2525153929310296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964556333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021024616,0.0004903112,0.9940404,0.00006746348,0.0004128967,0.002260536,0.000107268155,0.00026699496,0.0002516451],"genre_scores_gemma":[0.78672385,0.00013595649,0.198655,0.000074827956,0.0032741283,0.0010045907,0.00058158365,0.0010643863,0.008485659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99507034,0.000024738425,0.001290275,0.0012726192,0.0007803646,0.0015616937],"domain_scores_gemma":[0.9963612,0.0014660573,0.00034537868,0.0012341161,0.00016683915,0.00042640753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011511742,0.0010935769,0.0014562058,0.0003326751,0.00013480986,0.0002267432,0.0013883585,0.00088995486,0.000037982878],"category_scores_gemma":[0.0001808212,0.0009685371,0.0008662448,0.00023184904,0.00018032428,0.00033994453,0.0012969021,0.0009195045,0.0000117640975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000919124,0.000052333387,0.0000045965908,0.0009914092,0.0003720185,0.000009316893,0.000071199574,0.94260114,0.04882776,0.002643455,0.003024606,0.0013102647],"study_design_scores_gemma":[0.0009981062,0.00029535795,0.000006082933,0.00028226848,0.000159756,0.000029678806,0.000018372142,0.92740434,0.059681635,0.0005449017,0.00961322,0.00096629304],"about_ca_topic_score_codex":0.00015633702,"about_ca_topic_score_gemma":3.3084874e-7,"teacher_disagreement_score":0.7953854,"about_ca_system_score_codex":0.0040204,"about_ca_system_score_gemma":0.00013775885,"threshold_uncertainty_score":0.999803},"labels":[],"label_agreement":null},{"id":"W2965410383","doi":"10.1016/b978-0-12-818597-1.50063-1","title":"Modeling and Simulation of a Waste Tire to Liquefied Synthetic Natural Gas (SNG) Plant","year":2019,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Thermochemical Biomass Conversion Processes","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":"McMaster University","funders":"","keywords":"Waste management; Kiln; Substitute natural gas; Raw material; Syngas; Heat of combustion; Energy recovery; Environmentally friendly; Natural gas; Refuse-derived fuel; Coal; Environmental science; Municipal solid waste; Incineration; Rotary kiln; Process engineering; Engineering; Energy (signal processing)","score_opus":0.006389960824572106,"score_gpt":0.17475456695286085,"score_spread":0.16836460612828874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965410383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51799136,0.002930622,0.46765572,0.00013016968,0.0037781291,0.0019660122,0.00028266563,0.004610797,0.0006544959],"genre_scores_gemma":[0.9586115,0.00006744392,0.038504157,0.000092554896,0.0014169158,0.000037063026,0.00029823158,0.0006826579,0.00028947458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949529,0.000009019537,0.0016430003,0.0014578967,0.00078802946,0.0011491376],"domain_scores_gemma":[0.9970955,0.0006557203,0.00018194462,0.0010516904,0.00024162878,0.00077349314],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00016455716,0.0017833803,0.00203596,0.0006661639,0.00003421879,0.00012729224,0.0010714275,0.0012604679,0.000044518067],"category_scores_gemma":[0.00009598225,0.0020142444,0.0005369194,0.00028396034,0.00007398422,0.00026218334,0.0009894698,0.0017119524,0.000054321546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004201622,0.000020568781,1.7703896e-7,0.0021281498,0.00028408668,0.000025340207,0.00012445216,0.6489368,0.34315288,0.00048178842,0.0001131652,0.0046905703],"study_design_scores_gemma":[0.00064883666,0.00005959105,1.4139945e-7,0.0019812903,0.00011662467,0.000064189684,0.0000013767535,0.7300302,0.26509175,0.000077462384,0.00046433666,0.0014642426],"about_ca_topic_score_codex":0.0000029572318,"about_ca_topic_score_gemma":1.189584e-7,"teacher_disagreement_score":0.44062012,"about_ca_system_score_codex":0.00047296757,"about_ca_system_score_gemma":0.000058639693,"threshold_uncertainty_score":0.99949116},"labels":[],"label_agreement":null},{"id":"W301331054","doi":"10.1016/b978-0-444-63472-6.00014-8","title":"Operability Analysis of Process Supply Chains—Toward the Development of a Sustainable Bioeconomy","year":2015,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Operability; Sustainable development; Process (computing); Supply chain; Business; Process management; Engineering; Computer science; Political science","score_opus":0.015427714091391475,"score_gpt":0.19894203661151236,"score_spread":0.18351432252012087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W301331054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9477598,0.0010272185,0.04478547,0.0010905517,0.0007312803,0.0026647176,0.00023142488,0.0008503004,0.0008592539],"genre_scores_gemma":[0.96269155,0.0000125956385,0.03446214,0.00009884299,0.00089508825,0.00017193168,0.00082178006,0.000045768164,0.00080029137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947255,0.000022267215,0.0021923922,0.0013119928,0.00067157915,0.0010762399],"domain_scores_gemma":[0.99701065,0.000623743,0.00050498836,0.0005410492,0.00079086324,0.00052868464],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077564333,0.0011528562,0.002190851,0.00025033008,0.000075239055,0.000098551536,0.0017318428,0.0008742169,0.00019634872],"category_scores_gemma":[0.00009820372,0.00065374176,0.00087557506,0.00069959933,0.00022405184,0.00019531831,0.0011861476,0.0010032316,0.0000071997933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074106257,0.0026135454,0.0008544682,0.018558197,0.026682328,0.00021878412,0.02052293,0.44006667,0.19745098,0.09408735,0.002275063,0.19592862],"study_design_scores_gemma":[0.002105626,0.00055889826,0.0012575621,0.0012416499,0.0018712012,0.000057650137,0.00040775066,0.6752961,0.2144536,0.0017254743,0.09457311,0.006451339],"about_ca_topic_score_codex":0.000017460916,"about_ca_topic_score_gemma":0.000002385971,"teacher_disagreement_score":0.23522946,"about_ca_system_score_codex":0.00076005637,"about_ca_system_score_gemma":0.00023628162,"threshold_uncertainty_score":0.9995914},"labels":[],"label_agreement":null},{"id":"W3183975412","doi":"10.1016/b978-0-323-88506-5.50319-3","title":"Building Knowledge Capacity for Quantum Computing in Engineering Education","year":2021,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Workforce; Exploit; Computer science; Subject (documents); Work (physics); Engineering ethics; Quantum computer; State (computer science); Knowledge management; Quantum; Engineering; Political science; Mechanical engineering; Physics; Computer security; World Wide Web","score_opus":0.010752576627347604,"score_gpt":0.21747301813330971,"score_spread":0.2067204415059621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183975412","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014679596,0.0016051512,0.97434413,0.00018404235,0.0056903907,0.0009947225,0.000035501096,0.0022857033,0.00018078169],"genre_scores_gemma":[0.029514015,0.000027172062,0.9616811,0.00022843241,0.0072722156,0.000114004455,0.00022349274,0.0006236194,0.00031592877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99103296,0.000034604043,0.0024429732,0.0032659946,0.0008837797,0.0023396793],"domain_scores_gemma":[0.9943707,0.001673971,0.00053554244,0.0018912314,0.0005095046,0.0010190451],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00068045733,0.002531244,0.002695799,0.0013072742,0.00013923262,0.0007110923,0.0033327362,0.0015962612,0.000011318219],"category_scores_gemma":[0.0002548764,0.0030598254,0.0012611725,0.00085707643,0.00009014524,0.00048491382,0.0028008462,0.0035581824,0.000022847873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016158703,0.00036312902,0.0000014306396,0.0042683263,0.0004413156,0.0001324321,0.0005643414,0.67425466,0.07582228,0.17582397,0.0009765252,0.06733546],"study_design_scores_gemma":[0.0012578128,0.00010723171,0.000006333145,0.00483923,0.00007463655,0.00037620572,8.8061995e-7,0.9467712,0.02470265,0.0010080852,0.017923594,0.0029321152],"about_ca_topic_score_codex":0.000012892651,"about_ca_topic_score_gemma":4.112343e-7,"teacher_disagreement_score":0.2725166,"about_ca_system_score_codex":0.0012508426,"about_ca_system_score_gemma":0.000442066,"threshold_uncertainty_score":0.9996999},"labels":[],"label_agreement":null},{"id":"W3185716732","doi":"10.1016/b978-0-323-88506-5.50026-7","title":"Process and product design for the simultaneous synthesis of xylitol and sorbitol from biomass","year":2021,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Canadian Mennonite University","keywords":"Xylitol; Sorbitol; Biomass (ecology); Process engineering; Xylose; Raw material; Lignocellulosic biomass; Pulp and paper industry; Hydrolysis; Chemistry; Fermentation; Engineering; Organic chemistry","score_opus":0.009864159118679616,"score_gpt":0.183835117677583,"score_spread":0.1739709585589034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185716732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026085151,0.012698351,0.9519787,0.0003866467,0.0036225503,0.0025479689,0.00033954644,0.0022041504,0.00013697188],"genre_scores_gemma":[0.60138935,0.0012282187,0.38312575,0.00019650478,0.011166698,0.00045816318,0.0004964219,0.0014041328,0.00053475646],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99647075,0.000010996963,0.0010479114,0.0013037417,0.0004460103,0.0007206152],"domain_scores_gemma":[0.9964868,0.0019146223,0.0001765824,0.0008104668,0.00022567908,0.00038584767],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020178006,0.0012449804,0.0013982481,0.00023541262,0.00006295848,0.00014015564,0.00064422557,0.0008307673,0.000022281434],"category_scores_gemma":[0.00016425613,0.001158886,0.00035286916,0.00016869037,0.00017101722,0.00015528411,0.00042235386,0.0010045625,0.0000040278364],"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":[0.00010258807,0.00008516438,0.0000013137478,0.01012954,0.0017962247,0.00007108147,0.0002910129,0.33993262,0.609945,0.00041273917,0.0013833453,0.035849385],"study_design_scores_gemma":[0.0004328282,0.00003313134,0.0000010668625,0.0006493526,0.0002106654,0.00007228113,0.0000023461141,0.585499,0.4088078,0.000086908476,0.0033853797,0.00081925234],"about_ca_topic_score_codex":0.000003932576,"about_ca_topic_score_gemma":5.6943563e-8,"teacher_disagreement_score":0.5753042,"about_ca_system_score_codex":0.00016056413,"about_ca_system_score_gemma":0.00004476118,"threshold_uncertainty_score":0.99908614},"labels":[],"label_agreement":null},{"id":"W4242769594","doi":"10.1016/s1570-7946(04)80085-3","title":"Data-based latent variable methods for process analysis, monitoring and control","year":2004,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Fault Detection and 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":"McMaster University","funders":"","keywords":"Latent variable; Computer science; Data mining; Variable (mathematics); Latent variable model; Process (computing); Rank (graph theory); Linear subspace; Subspace topology; Machine learning; Artificial intelligence; Mathematics","score_opus":0.014170172133837191,"score_gpt":0.24992250963216928,"score_spread":0.23575233749833208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242769594","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011899981,0.0017911622,0.9898564,0.000037623096,0.002471064,0.0011693392,0.00035003904,0.0029991872,0.00013516628],"genre_scores_gemma":[0.21794479,0.00006082937,0.7714936,0.00011770513,0.007028233,0.0005470641,0.0013672345,0.0012077537,0.00023276148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940994,0.000019177121,0.0018593757,0.0019829613,0.0006106533,0.0014284379],"domain_scores_gemma":[0.9959005,0.000935458,0.00027265731,0.0017213068,0.0002623549,0.0009077138],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00058449444,0.001981593,0.0028427157,0.0008505307,0.00008445069,0.00036461282,0.0015475939,0.001470582,0.00004001037],"category_scores_gemma":[0.00009739742,0.002249237,0.00077405357,0.00051457906,0.000076703865,0.00033998076,0.00040717627,0.0017658129,0.00001198179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004183938,0.000041766067,0.000002028687,0.0025159512,0.0030554256,0.0000217447,0.000043328237,0.9065265,0.080240004,0.0013413983,0.00009212052,0.006077913],"study_design_scores_gemma":[0.002976311,0.00007574829,0.0000033304202,0.00097139215,0.0014368366,0.00004847058,7.6957866e-7,0.9474104,0.036298804,0.0002499613,0.008439446,0.0020885142],"about_ca_topic_score_codex":0.000007772377,"about_ca_topic_score_gemma":1.5274013e-7,"teacher_disagreement_score":0.2183628,"about_ca_system_score_codex":0.0009113054,"about_ca_system_score_gemma":0.00010202136,"threshold_uncertainty_score":0.9998257},"labels":[],"label_agreement":null},{"id":"W4288828694","doi":"10.1016/b978-0-323-85159-6.50284-0","title":"Adaptive least-squares surrogate modeling for reaction systems","year":2022,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Latin hypercube sampling; Mathematical optimization; Surrogate model; Convergence (economics); Sampling (signal processing); Computer science; Adaptive sampling; Optimization problem; Least-squares function approximation; Function (biology); Algorithm; Mathematics; Statistics","score_opus":0.017931534410239914,"score_gpt":0.2089007512247176,"score_spread":0.19096921681447768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288828694","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015327217,0.0006785913,0.9889376,0.00008455468,0.004693463,0.0015934736,0.00013512207,0.0032631417,0.0004607643],"genre_scores_gemma":[0.011472076,0.000083361854,0.9799324,0.00014342091,0.0046579507,0.00069328997,0.00070890365,0.0008897299,0.0014188283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9918778,0.000032673313,0.0020263128,0.0030273816,0.0013035176,0.0017323158],"domain_scores_gemma":[0.9949703,0.00095225783,0.00063706114,0.0018673574,0.0006929104,0.00088009913],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00042848845,0.0022120061,0.0021908735,0.0009048419,0.00021229952,0.000456946,0.002781188,0.0011113259,0.000026827156],"category_scores_gemma":[0.00013050844,0.0027023014,0.0010507576,0.00050530024,0.000082666586,0.0011606275,0.0023099235,0.0025883853,0.000036826743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043705026,0.00008619928,7.293389e-8,0.0004978106,0.00042243398,0.000077482364,0.00017552648,0.9415335,0.014010304,0.03681251,0.00027572227,0.0060647293],"study_design_scores_gemma":[0.0017674275,0.00020689578,2.0612886e-7,0.0006850767,0.000113789145,0.00028334215,0.0000030773663,0.97887796,0.005369142,0.0005610144,0.009538459,0.0025935818],"about_ca_topic_score_codex":0.000014559995,"about_ca_topic_score_gemma":1.3398832e-7,"teacher_disagreement_score":0.037344486,"about_ca_system_score_codex":0.0020059668,"about_ca_system_score_gemma":0.00017548498,"threshold_uncertainty_score":0.9997127},"labels":[],"label_agreement":null},{"id":"W4384786323","doi":"10.1016/b978-0-443-15274-0.50133-5","title":"Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Réseau de cancérologie Rossy","keywords":"Context (archaeology); Residual; Surrogate model; Kriging; Polynomial regression; Computer science; Regression; Gaussian process; Reduction (mathematics); Linear regression; Artificial neural network; Gaussian; Machine learning; Mathematics; Algorithm; Statistics","score_opus":0.011975633969111414,"score_gpt":0.18971300730882035,"score_spread":0.17773737333970893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384786323","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007965279,0.0009382709,0.9784889,0.00003755257,0.0042412044,0.0010783245,0.00034205866,0.006467461,0.00044094157],"genre_scores_gemma":[0.041640818,0.0012893821,0.9260438,0.00033331872,0.0138704525,0.0007579687,0.006268539,0.00450251,0.00529323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99356705,0.0000081022345,0.0019603458,0.0017731998,0.00079008687,0.0019011905],"domain_scores_gemma":[0.99705833,0.0004820063,0.00025151286,0.0012664454,0.0002553095,0.000686372],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00023258736,0.0023952853,0.0021785966,0.0005959726,0.00010521415,0.0002798561,0.0013226785,0.0013175636,0.00004288019],"category_scores_gemma":[0.00003228706,0.0028427776,0.0010716956,0.00031487842,0.00008274635,0.0005864709,0.000604723,0.0021717441,0.00014588659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027714344,0.000034733675,1.3240911e-7,0.0018357341,0.00057845056,0.000068386275,0.00010231012,0.96722025,0.021787504,0.0017503531,0.0028988903,0.003695518],"study_design_scores_gemma":[0.0014588449,0.00008668618,2.7293262e-7,0.0011822633,0.00020912595,0.000105923995,6.231184e-7,0.94258493,0.0372079,0.00048442013,0.01396584,0.0027131482],"about_ca_topic_score_codex":0.000003256029,"about_ca_topic_score_gemma":1.9567032e-7,"teacher_disagreement_score":0.05244513,"about_ca_system_score_codex":0.0009429547,"about_ca_system_score_gemma":0.0000765005,"threshold_uncertainty_score":0.99997896},"labels":[],"label_agreement":null},{"id":"W4384786696","doi":"10.1016/b978-0-443-15274-0.50285-7","title":"Can electrical utilities play a decisive role in generating knowledge for better use of energy in small and medium-sized industries?","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Cluster analysis; Electricity; Computer science; Visualization; Power consumption; Power (physics); Power demand; Scaling; Data mining; Industrial engineering; Engineering; Electrical engineering; Artificial intelligence; Mathematics","score_opus":0.015615294357541316,"score_gpt":0.18359107782995346,"score_spread":0.16797578347241215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384786696","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19860244,0.0015890267,0.7940028,0.00008301827,0.002005262,0.0010913053,0.00020124871,0.0022636254,0.00016132463],"genre_scores_gemma":[0.35665184,0.0006945866,0.62875026,0.00028829568,0.006262864,0.001064541,0.0022296512,0.002511308,0.001546664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959299,0.000014227688,0.0016320392,0.0010298605,0.00030928926,0.0010846929],"domain_scores_gemma":[0.99732155,0.001461421,0.00016876854,0.00054455135,0.00014610607,0.00035758776],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00020135025,0.0012374935,0.001709241,0.0010348372,0.000030111289,0.00012235026,0.0005965769,0.001527255,0.0000073662386],"category_scores_gemma":[0.00014718721,0.0014846375,0.00030894898,0.000504215,0.000078612546,0.00019929833,0.00048114697,0.001494431,9.4007595e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003610962,0.000043024298,0.00001182989,0.00056468335,0.00024438545,0.000037397258,0.00023343413,0.95603704,0.026838962,0.004143538,0.00031519908,0.011494418],"study_design_scores_gemma":[0.0014228073,0.0000615368,0.000013582942,0.0012182563,0.000057508376,0.00003375901,0.0000013871658,0.94298595,0.05097473,0.0005384164,0.0014373251,0.001254733],"about_ca_topic_score_codex":0.000027510148,"about_ca_topic_score_gemma":0.000014996637,"teacher_disagreement_score":0.1652525,"about_ca_system_score_codex":0.00051954685,"about_ca_system_score_gemma":0.000103365615,"threshold_uncertainty_score":0.999769},"labels":[],"label_agreement":null},{"id":"W4384786903","doi":"10.1016/b978-0-443-15274-0.50085-8","title":"A sustainable energy supply system in smart cities: an integrated natural gas and electricity network operation","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Smart Grid Energy Management","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":"Renewable energy; Electricity; Mathematical optimization; Linear programming; Integer programming; Energy storage; Natural gas; Computer science; Stochastic programming; Energy supply; Order (exchange); Environmental pollution; Energy (signal processing); Engineering; Environmental science; Waste management; Mathematics; Electrical engineering; Power (physics); Business","score_opus":0.004311981474474566,"score_gpt":0.15714083209549953,"score_spread":0.15282885062102497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384786903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046814807,0.0024696107,0.9239818,0.000081646336,0.0077300565,0.0017011391,0.000073931245,0.015281247,0.0018657693],"genre_scores_gemma":[0.82159495,0.00081680913,0.13977417,0.00037701533,0.018677207,0.0010143018,0.0048718816,0.004158751,0.00871491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99358535,0.000024308956,0.0017387709,0.0017114525,0.00074918085,0.0021909554],"domain_scores_gemma":[0.9974303,0.00041724625,0.0001582459,0.0010728977,0.00019855918,0.00072270766],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00040394126,0.0020911393,0.0020151224,0.0010697665,0.00008192389,0.0004434725,0.0011053724,0.0012743823,0.000020640226],"category_scores_gemma":[0.00004196023,0.0024722936,0.00039068598,0.00073214225,0.0000816391,0.0005535184,0.00097407366,0.0023090446,0.000023420034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029729656,0.00002996612,0.0000038061867,0.0018051099,0.0004392199,0.00045960527,0.00012787536,0.9558766,0.0063892584,0.02967044,0.0022903522,0.0028780226],"study_design_scores_gemma":[0.0011143088,0.00009439793,0.000013508966,0.0014950222,0.00010788347,0.00014803246,0.000009284961,0.97549427,0.008378071,0.00019010622,0.0106820725,0.0022730348],"about_ca_topic_score_codex":0.00009293576,"about_ca_topic_score_gemma":0.0000065485906,"teacher_disagreement_score":0.78420764,"about_ca_system_score_codex":0.0020985943,"about_ca_system_score_gemma":0.00007221605,"threshold_uncertainty_score":0.99999267},"labels":[],"label_agreement":null},{"id":"W4384788559","doi":"10.1016/b978-0-443-15274-0.50518-7","title":"Evaluation of Methane Mitigation Technologies in the Upstream Oil and Gas Sector using the TEAM Digital Platform","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Process Research Ortech (Canada)","funders":"","keywords":"Greenhouse gas; Upstream (networking); Environmental science; Work (physics); Fugitive emissions; Methane; Fossil fuel; Production (economics); Downstream (manufacturing); Waste management; Environmental engineering; Engineering; Environmental economics; Operations management","score_opus":0.024075874723588207,"score_gpt":0.22748011961333242,"score_spread":0.2034042448897442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384788559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8433021,0.0006374755,0.13135612,0.0019492548,0.002903793,0.0021343974,0.00017049265,0.0031363498,0.014410046],"genre_scores_gemma":[0.9756997,0.000073966046,0.022223977,0.00007951627,0.0008088956,0.00012196871,0.00022708753,0.00017896658,0.0005858861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715877,0.000016725084,0.00078793545,0.00065581826,0.0009186451,0.00046210995],"domain_scores_gemma":[0.99840415,0.0006293967,0.00022170905,0.0005752689,0.000078367346,0.000091114984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006169062,0.00060643035,0.00054614455,0.00019352537,0.000042577078,0.00012152571,0.00069766585,0.0005169076,0.0000630465],"category_scores_gemma":[0.00020677845,0.00047065175,0.00021992152,0.00028466072,0.0002087207,0.00028061375,0.0006350659,0.0010874502,0.000020945383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024558345,0.00012560858,0.00002541302,0.0003138981,0.00031846008,0.000031848936,0.0011013116,0.7281662,0.1350603,0.0044804327,0.0006042685,0.12974769],"study_design_scores_gemma":[0.0004881431,0.00004980998,0.000018138984,0.0003788999,0.0001284492,0.00015563532,0.000023594228,0.97094375,0.023646597,0.0024769208,0.0011280735,0.00056199706],"about_ca_topic_score_codex":0.000018345554,"about_ca_topic_score_gemma":0.0000023029493,"teacher_disagreement_score":0.24277751,"about_ca_system_score_codex":0.00047610418,"about_ca_system_score_gemma":0.000034448047,"threshold_uncertainty_score":0.9997745},"labels":[],"label_agreement":null},{"id":"W4384788982","doi":"10.1016/b978-0-443-15274-0.50480-7","title":"How to accurately fast-track sorbent selection for post-combustion CO2 capture? A comparative assessment of data-driven and simplified physical models for screening sorbents","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Bundesamt für Energie; Engineering and Physical Sciences Research Council; University of Alberta; Natural Environment Research Council; Réseau de cancérologie Rossy; Department for Business, Energy and Industrial Strategy, UK Government","keywords":"Computer science; Process (computing); Set (abstract data type); Selection (genetic algorithm); Biochemical engineering; Machine learning; Engineering","score_opus":0.05823564640989655,"score_gpt":0.287334173121729,"score_spread":0.22909852671183245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384788982","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02039613,0.000063929816,0.975606,0.00022853544,0.00028770434,0.0013584305,0.0012045515,0.00078945607,0.000065225024],"genre_scores_gemma":[0.39942855,0.000021483305,0.5923347,0.00006414197,0.0028154387,0.0005920553,0.0036196655,0.0005599822,0.00056398165],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950794,0.000008969831,0.0012506737,0.0020103313,0.0006726784,0.0009779521],"domain_scores_gemma":[0.99563426,0.0015638405,0.00050890434,0.001153927,0.00051255577,0.0006265347],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002190355,0.001390466,0.0020801353,0.00030867616,0.000102569786,0.00028893334,0.0012999801,0.0010042778,0.000012875126],"category_scores_gemma":[0.00011337765,0.0015404812,0.0005805927,0.00023281865,0.00007934952,0.00040297676,0.0010879678,0.0012890262,0.0000035693351],"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":[0.000075384254,0.00016330245,7.145069e-7,0.0020169627,0.0009177465,0.0000022248164,0.00021356462,0.46856,0.51001835,0.011076725,0.00076500454,0.0061899973],"study_design_scores_gemma":[0.0010774807,0.00008671843,0.000003060441,0.0011551809,0.0003696542,0.000020038295,0.000010164169,0.8731872,0.121160686,0.00055698835,0.0011271925,0.0012456675],"about_ca_topic_score_codex":0.000006515607,"about_ca_topic_score_gemma":7.8843294e-7,"teacher_disagreement_score":0.40462717,"about_ca_system_score_codex":0.00034736787,"about_ca_system_score_gemma":0.00009194414,"threshold_uncertainty_score":0.9998846},"labels":[],"label_agreement":null},{"id":"W4384788992","doi":"10.1016/b978-0-443-15274-0.50463-7","title":"Optimal operation of a sustainable water desalination unit integrated a green energy system","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flexibility (engineering); Mathematical optimization; Desalination; Computer science; Integer programming; Energy (signal processing); Unit (ring theory); Linear programming; Algorithm; Mathematics","score_opus":0.007083266885152551,"score_gpt":0.16352864742415954,"score_spread":0.156445380539007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384788992","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008161084,0.0002214961,0.98018175,0.000051966534,0.0024400237,0.0007093235,0.00006293837,0.006543851,0.0016275583],"genre_scores_gemma":[0.6087833,0.00025494405,0.3245382,0.00023821398,0.017639246,0.0012965753,0.01048712,0.0065297517,0.030232634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9938055,0.000019657426,0.0020513989,0.0013585875,0.0009631568,0.0018016548],"domain_scores_gemma":[0.9972791,0.0002668467,0.00020040473,0.0012256845,0.0004498022,0.0005781454],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00038238306,0.0019431089,0.001972905,0.001261917,0.000068361456,0.00021281878,0.001338995,0.0013849132,0.000049553586],"category_scores_gemma":[0.000029703502,0.002029771,0.0006771305,0.0004745881,0.000088346984,0.0004087605,0.0012983204,0.001430216,0.000087979985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002293975,0.000035042063,2.51333e-7,0.0029648154,0.0008370391,0.00024835617,0.00015134904,0.8897001,0.058894493,0.04494292,0.00108955,0.0011131534],"study_design_scores_gemma":[0.0009117143,0.00007849313,0.0000012738856,0.0011289959,0.00019436631,0.00007403341,0.0000067851456,0.81955117,0.16256422,0.00006929266,0.013771793,0.0016478383],"about_ca_topic_score_codex":0.000066383036,"about_ca_topic_score_gemma":7.1116614e-7,"teacher_disagreement_score":0.6556435,"about_ca_system_score_codex":0.0013762935,"about_ca_system_score_gemma":0.000059029633,"threshold_uncertainty_score":0.9999115},"labels":[],"label_agreement":null},{"id":"W4384789361","doi":"10.1016/b978-0-443-15274-0.50213-4","title":"Global Optimal Explainable Models for Biorefining","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Biofuel production and bioconversion","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":"Biorefining; Hemicellulose; Xylose; Hydrolysis; Sugar; Pulp and paper industry; Computer science; Biochemical engineering; Chemistry; Mathematical optimization; Organic chemistry; Mathematics; Engineering; Biorefinery; Raw material","score_opus":0.016282467405186192,"score_gpt":0.1909567684673396,"score_spread":0.17467430106215343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384789361","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022126257,0.0008125178,0.97766113,0.00013427714,0.00671179,0.0011575482,0.0003538244,0.009293065,0.0016632422],"genre_scores_gemma":[0.048507813,0.0005455612,0.9071733,0.00045251218,0.02575369,0.00072464143,0.0038040276,0.0036656992,0.009372777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99380463,0.0000071523377,0.0015948737,0.0019227444,0.00077474385,0.0018958352],"domain_scores_gemma":[0.9971433,0.00031669496,0.00019725454,0.0011807473,0.00024663686,0.0009153675],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00028656147,0.0021532348,0.0018768356,0.00054536003,0.00009778836,0.00027632221,0.0013423249,0.0019858738,0.00005154562],"category_scores_gemma":[0.00004512059,0.0025237645,0.0010949015,0.00042101927,0.00010962292,0.00044623954,0.00091034017,0.0016177709,0.00015523932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004343096,0.000042986037,2.8197454e-7,0.0031756149,0.0006374572,0.000075103395,0.00008410372,0.94379777,0.02507272,0.008847932,0.012532238,0.0056903604],"study_design_scores_gemma":[0.0013711948,0.000101008416,5.986904e-7,0.0008961589,0.00016544244,0.00013617426,0.0000021815497,0.93005383,0.029729888,0.00084670394,0.034203622,0.002493199],"about_ca_topic_score_codex":0.000003960542,"about_ca_topic_score_gemma":9.140973e-8,"teacher_disagreement_score":0.070487835,"about_ca_system_score_codex":0.0011123894,"about_ca_system_score_gemma":0.00006828236,"threshold_uncertainty_score":0.9993098},"labels":[],"label_agreement":null},{"id":"W4384789399","doi":"10.1016/b978-0-443-15274-0.50296-1","title":"State and Parameter Estimation in Dynamic Real-time Optimization with Closed-Loop Prediction","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Noise (video); Estimation theory; Controller (irrigation); State (computer science); Computer science; Optimization problem; Mathematical optimization; Steady state (chemistry); Control (management); Mathematics; Algorithm; Artificial intelligence","score_opus":0.0038296541885727404,"score_gpt":0.17074541779419217,"score_spread":0.16691576360561944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384789399","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007839995,0.00017457288,0.9859887,0.000024956418,0.0007548895,0.001101409,0.00010015646,0.0037174784,0.00029787028],"genre_scores_gemma":[0.039782874,0.00055585336,0.95075977,0.00004335463,0.0013572314,0.00044049334,0.0024487628,0.0021675578,0.0024440803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951754,0.000015364856,0.0016415094,0.0013993911,0.0006670514,0.0011012409],"domain_scores_gemma":[0.9977174,0.00055223383,0.00026004406,0.00082195736,0.00016346152,0.00048493553],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00021404005,0.0016354925,0.0016379115,0.0008821035,0.000042717198,0.00021285487,0.00051068433,0.0010519059,0.000022447142],"category_scores_gemma":[0.000060250564,0.0018778725,0.00023580795,0.0004438696,0.00007923503,0.00058276247,0.00031641265,0.0014563993,0.000054149878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003682395,0.000022235883,0.0000014132181,0.0009086881,0.00029418594,0.00006789808,0.00010298825,0.9684572,0.024137694,0.00024962274,0.00008569481,0.0056355335],"study_design_scores_gemma":[0.0017522499,0.00010227828,0.000014449179,0.0018484965,0.00012131754,0.00010263426,6.129118e-7,0.99133277,0.0028019361,0.00019883008,0.00008878972,0.001635622],"about_ca_topic_score_codex":0.00000537781,"about_ca_topic_score_gemma":5.9655105e-7,"teacher_disagreement_score":0.03522888,"about_ca_system_score_codex":0.0010200539,"about_ca_system_score_gemma":0.000040967192,"threshold_uncertainty_score":0.9996392},"labels":[],"label_agreement":null},{"id":"W4384789552","doi":"10.1016/b978-0-443-15274-0.50266-3","title":"Globally Convergent Composite-Step Trust-Region Framework for Model-Based Real-Time Optimization","year":2023,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Trust region; Mathematical optimization; Convergence (economics); Penalty method; Function (biology); Computer science; Composite number; Mathematics; Algorithm","score_opus":0.008720395240890815,"score_gpt":0.1947502864701163,"score_spread":0.18602989122922547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384789552","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017092461,0.00022696311,0.9859218,0.00007556427,0.002781868,0.0018540046,0.00020645371,0.008271058,0.0004913655],"genre_scores_gemma":[0.0040555038,0.00012057931,0.9857322,0.000130977,0.0042019035,0.00046324596,0.0022550197,0.0018982947,0.0011422499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99280286,0.000015788992,0.0023706306,0.00197112,0.0010207179,0.001818863],"domain_scores_gemma":[0.9955285,0.0010080022,0.00044916235,0.0015724002,0.0004666099,0.0009753231],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00024675843,0.002570794,0.0026390261,0.00072288356,0.00010123407,0.00030113538,0.0015756575,0.0024628616,0.00003299106],"category_scores_gemma":[0.00012016708,0.0032237081,0.0011679219,0.00045390328,0.00009430991,0.0003718737,0.00050967175,0.0017230518,0.00009585897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072000454,0.000047057845,3.3916734e-7,0.0017620082,0.00059456885,0.00005295571,0.00004369917,0.96408606,0.021486005,0.009005622,0.0014653293,0.0013843437],"study_design_scores_gemma":[0.0021457186,0.00009594619,3.4127947e-7,0.0022287283,0.00030775325,0.00004858352,4.3645667e-7,0.98097974,0.009354365,0.00071672956,0.0012146265,0.0029070098],"about_ca_topic_score_codex":0.0000026836437,"about_ca_topic_score_gemma":8.688728e-8,"teacher_disagreement_score":0.01689369,"about_ca_system_score_codex":0.0016747429,"about_ca_system_score_gemma":0.000106756386,"threshold_uncertainty_score":0.99883217},"labels":[],"label_agreement":null},{"id":"W4400032106","doi":"10.1016/b978-0-443-28824-1.50573-1","title":"Disjunctive Programming meets QUBO","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language","score_opus":0.006646702397889918,"score_gpt":0.18222784991802685,"score_spread":0.17558114752013693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032106","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012790349,0.004122744,0.96382743,0.00017525067,0.0096338885,0.0012056167,0.0001509731,0.014724367,0.0048806844],"genre_scores_gemma":[0.016783798,0.00024058785,0.956753,0.00019390573,0.015373848,0.00033364748,0.0013863419,0.0029455035,0.005989367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929268,0.000009099967,0.0019476569,0.0021112114,0.0010996499,0.0019055849],"domain_scores_gemma":[0.99650645,0.00046795217,0.00019324003,0.0013739408,0.00026038563,0.0011980245],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0002544647,0.0027609093,0.002231824,0.00088248897,0.00007569463,0.000578131,0.0014723333,0.0019723552,0.00013942893],"category_scores_gemma":[0.000061959734,0.0031320977,0.001194092,0.00053955376,0.00013858578,0.00035760333,0.000975352,0.0037530628,0.00044530138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018458766,0.00007015105,3.3002183e-7,0.0024321342,0.0014623207,0.00035444414,0.00031462597,0.94682014,0.013725572,0.011087681,0.0021874614,0.021526676],"study_design_scores_gemma":[0.0008546107,0.000074830095,5.5496173e-7,0.0021767882,0.00032653802,0.00024763652,0.0000021149588,0.931281,0.021658985,0.00034391606,0.039964646,0.003068436],"about_ca_topic_score_codex":0.000003113312,"about_ca_topic_score_gemma":1.5605708e-7,"teacher_disagreement_score":0.037777185,"about_ca_system_score_codex":0.0010994455,"about_ca_system_score_gemma":0.00007314594,"threshold_uncertainty_score":0.9993233},"labels":[],"label_agreement":null},{"id":"W4400032110","doi":"10.1016/b978-0-443-28824-1.50498-1","title":"Fault Detection and Analysis via Latent Space Differences Between the Plant and the Model Representing Normal Operation","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Normal fault; Fault detection and isolation; Fault (geology); Space (punctuation); Computer science; Statistics; Mathematics; Artificial intelligence; Geology; Seismology","score_opus":0.008352893779195507,"score_gpt":0.17433001252184765,"score_spread":0.16597711874265214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03930411,0.0019493471,0.954315,0.0002040132,0.0012030052,0.0007820911,0.00006972632,0.0017560946,0.00041663254],"genre_scores_gemma":[0.99144274,0.00013697725,0.0047187316,0.00004208939,0.0025668202,0.00012078574,0.00011254778,0.00026460356,0.0005946885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964862,0.000018928833,0.0011590193,0.0010337386,0.0005771088,0.0007250324],"domain_scores_gemma":[0.99812484,0.0006053992,0.00014539686,0.00070256816,0.000074384145,0.00034742957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000367392,0.0011662273,0.0014621014,0.00041972098,0.00012845364,0.00055790885,0.0005758636,0.00074972725,0.000008173875],"category_scores_gemma":[0.00002641729,0.00087518635,0.0005780599,0.00030341503,0.00014403582,0.00019850419,0.0005751034,0.0019285125,0.000013080078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029211918,0.000008118642,0.00000678826,0.0007016497,0.0026810258,0.00002062853,0.00038070744,0.9565322,0.031209258,0.0025198895,0.00007634307,0.0058341967],"study_design_scores_gemma":[0.0008431382,0.000024246405,0.000020502164,0.00031037186,0.0009856316,0.0001149689,0.0000020922917,0.9877954,0.007998579,0.0002478223,0.00070444355,0.0009527962],"about_ca_topic_score_codex":0.00002049449,"about_ca_topic_score_gemma":0.0000016758353,"teacher_disagreement_score":0.95213866,"about_ca_system_score_codex":0.00022322351,"about_ca_system_score_gemma":0.000013005787,"threshold_uncertainty_score":0.99936986},"labels":[],"label_agreement":null},{"id":"W4400032264","doi":"10.1016/b978-0-443-28824-1.50493-2","title":"Hybrid machine learning for scale-up of biomass production using photobioreactors","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"European Regional Development Fund","keywords":"Photobioreactor; Biomass (ecology); Scale (ratio); Production (economics); Environmental science; Process engineering; Engineering; Economics; Geography; Biology; Ecology; Cartography; Microeconomics","score_opus":0.007901487850122589,"score_gpt":0.1883352661711803,"score_spread":0.1804337783210577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032264","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012800988,0.0020627289,0.9725147,0.000022057999,0.006700582,0.001507231,0.00021530899,0.0039329533,0.0002434559],"genre_scores_gemma":[0.46517062,0.00020255553,0.5088926,0.00003781536,0.015053344,0.00044031168,0.0029753973,0.004043037,0.0031843125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99421376,0.000009937171,0.0021496397,0.0016525172,0.0007060294,0.0012681382],"domain_scores_gemma":[0.9973903,0.0003783062,0.00038608914,0.0009790874,0.00033988268,0.0005263559],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00026648218,0.0020086619,0.002294627,0.0009203013,0.000059194736,0.00015657871,0.0008699856,0.0010701977,0.000022038452],"category_scores_gemma":[0.00009156142,0.0023541388,0.0010151662,0.00033533914,0.000101640144,0.00038228033,0.0004794613,0.0019383685,0.000021221444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025422285,0.00001944596,5.168873e-7,0.0031623591,0.00051028683,0.000016937796,0.00006696799,0.5836393,0.4103494,0.00050324324,0.00017315477,0.0015329489],"study_design_scores_gemma":[0.0007861728,0.0000596906,1.9755122e-7,0.0017946925,0.00027342036,0.00016785771,6.3993224e-7,0.69338924,0.29746944,0.0001921479,0.004413301,0.0014532224],"about_ca_topic_score_codex":0.0000072410244,"about_ca_topic_score_gemma":1.9877274e-7,"teacher_disagreement_score":0.4636221,"about_ca_system_score_codex":0.0011190601,"about_ca_system_score_gemma":0.00005460717,"threshold_uncertainty_score":0.9992656},"labels":[],"label_agreement":null},{"id":"W4400032305","doi":"10.1016/b978-0-443-28824-1.50456-7","title":"Developing Purely Data-Driven Multi-Mode Process Controllers Using Inverse Reinforcement Learning","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reinforcement learning; Process (computing); Computer science; Mode (computer interface); Inverse; Reinforcement; Control theory (sociology); Artificial intelligence; Mathematics; Engineering; Control (management); Human–computer interaction; Structural engineering; Geometry","score_opus":0.023256294029650015,"score_gpt":0.23964238905462973,"score_spread":0.2163860950249797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032305","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012091367,0.0010057825,0.9872437,0.00003862999,0.0030682073,0.0012715964,0.00008219168,0.0055365735,0.0005441804],"genre_scores_gemma":[0.107868835,0.00024675258,0.87375236,0.00018428038,0.008884803,0.00028814384,0.0033510188,0.0031674763,0.002256357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921509,0.000015299474,0.0025430191,0.0023307167,0.0010842184,0.0018758345],"domain_scores_gemma":[0.99633926,0.0003746668,0.00040372068,0.0017160336,0.00032729472,0.00083904684],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00027460093,0.0026644291,0.0026393835,0.0008871008,0.000109518616,0.0004307655,0.0021998237,0.0016343876,0.000035103698],"category_scores_gemma":[0.00011310773,0.0031591107,0.00063658593,0.00045979058,0.00010313922,0.00085105706,0.0015880315,0.0035629696,0.00011747057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024386243,0.000019043355,4.933713e-7,0.0028041701,0.0012151309,0.00016641017,0.00021921605,0.9537259,0.03838764,0.002104358,0.0002411574,0.001092102],"study_design_scores_gemma":[0.0021744512,0.000045256184,1.7741398e-7,0.0036290274,0.00039860074,0.00019311081,0.0000041077683,0.9763479,0.007907406,0.00012398907,0.006083613,0.0030923407],"about_ca_topic_score_codex":0.000007699569,"about_ca_topic_score_gemma":7.083204e-7,"teacher_disagreement_score":0.11349137,"about_ca_system_score_codex":0.0023224305,"about_ca_system_score_gemma":0.00016787033,"threshold_uncertainty_score":0.9996617},"labels":[],"label_agreement":null},{"id":"W4400032366","doi":"10.1016/b978-0-443-28824-1.50397-5","title":"Dynamic simulation and optimisation of water and energy consumption in a ceramic plant: Application of the customised ThermWatt computational tool","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":5,"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":"Institut de la statistique du Québec","keywords":"Ceramic; Energy consumption; Computer science; Process engineering; Consumption (sociology); Water consumption; Mechanical engineering; Materials science; Engineering; Composite material; Electrical engineering; Waste management; Art","score_opus":0.00529767825628034,"score_gpt":0.18443957967633978,"score_spread":0.17914190142005945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05799758,0.00069886295,0.9394467,0.000041982537,0.0005342089,0.00048369498,0.00008934052,0.00051006046,0.00019755581],"genre_scores_gemma":[0.97460073,0.00009825292,0.024112968,0.000025715575,0.00018601902,0.000049485967,0.0006362833,0.00017966857,0.00011089359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976892,0.00000773214,0.0010646529,0.00056826626,0.00034437457,0.00032581168],"domain_scores_gemma":[0.9990618,0.00025467318,0.00014518632,0.00032424132,0.00010639379,0.0001076847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011651265,0.0006449405,0.0007155062,0.00038918824,0.000021193096,0.00006133731,0.00027898035,0.0005816862,0.000013199154],"category_scores_gemma":[0.000015873331,0.0005766815,0.0001632608,0.00013666811,0.000091544505,0.00018955664,0.00022489911,0.00061424985,0.0000026662078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016825741,0.000017729784,0.0000029166836,0.0013246107,0.000107593805,0.000001618555,0.00019857753,0.91886073,0.06951621,0.0051500183,0.000015337815,0.0047878004],"study_design_scores_gemma":[0.0006372543,0.00002104685,0.000024137578,0.00086277205,0.00007009824,0.000026374535,7.7590136e-7,0.9673016,0.029433873,0.0007333383,0.00034244714,0.0005462905],"about_ca_topic_score_codex":0.0000033812428,"about_ca_topic_score_gemma":4.5641585e-7,"teacher_disagreement_score":0.91660315,"about_ca_system_score_codex":0.0002613271,"about_ca_system_score_gemma":0.00001804584,"threshold_uncertainty_score":0.9996685},"labels":[],"label_agreement":null},{"id":"W4400032452","doi":"10.1016/b978-0-443-28824-1.50408-7","title":"Design of a Novel Pass-Through Distillation Process for Bioethanol Recovery","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","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":"Research Canada","funders":"","keywords":"Biofuel; Distillation; Process engineering; Process (computing); Pulp and paper industry; Environmental science; Biochemical engineering; Computer science; Waste management; Chromatography; Chemistry; Engineering","score_opus":0.02300361625419495,"score_gpt":0.22483775973283626,"score_spread":0.20183414347864131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032452","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003113453,0.0007536081,0.99218416,0.000043420172,0.0021239659,0.0010775027,0.00021569226,0.002483195,0.0008070906],"genre_scores_gemma":[0.048769545,0.0003251147,0.9385797,0.00013589127,0.0057271165,0.0005920352,0.0022121968,0.0018418768,0.0018165701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99551076,0.000004245288,0.0017526953,0.0012220953,0.0006120798,0.00089812226],"domain_scores_gemma":[0.9977878,0.00049783074,0.0002628324,0.0007019041,0.00040689603,0.00034278326],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00015815001,0.0015714783,0.0015851884,0.00053090154,0.00003643718,0.00017898166,0.000822444,0.0013801398,0.00004026823],"category_scores_gemma":[0.00008622812,0.0017584852,0.0006428763,0.00036554088,0.00008151569,0.00047574114,0.00024281515,0.0012715377,0.000024824274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038444392,0.000051268868,5.342538e-8,0.0039030928,0.00048769845,0.000007116297,0.00018361265,0.8733233,0.11329547,0.0057027633,0.000913052,0.0020940898],"study_design_scores_gemma":[0.00085479184,0.000109385364,1.024011e-7,0.0019332817,0.00018784482,0.000046801888,0.0000010295191,0.8227899,0.168583,0.0010027481,0.003077396,0.0014136934],"about_ca_topic_score_codex":0.0000013755981,"about_ca_topic_score_gemma":5.7228068e-8,"teacher_disagreement_score":0.055287536,"about_ca_system_score_codex":0.00056062953,"about_ca_system_score_gemma":0.00008422288,"threshold_uncertainty_score":0.99991626},"labels":[],"label_agreement":null},{"id":"W4400032549","doi":"10.1016/b978-0-443-28824-1.50289-1","title":"A Deep Reinforcement Learning PI Tuning Strategy for Closed-loop Operation of a Recirculating Aquaculture System","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reinforcement learning; Loop (graph theory); Control theory (sociology); Closed loop; Aquaculture; Computer science; Artificial intelligence; Engineering; Control engineering; Fishery; Biology; Mathematics; Fish <Actinopterygii>; Control (management)","score_opus":0.012778282181801786,"score_gpt":0.21144299598898555,"score_spread":0.19866471380718376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032549","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035243965,0.00079913996,0.99407506,0.0000876618,0.0009430985,0.0009994606,0.0000170478,0.0018582117,0.0008678724],"genre_scores_gemma":[0.17569318,0.000042811902,0.8143263,0.00007065552,0.004651923,0.00046445,0.0009693559,0.00054689957,0.003234449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9943576,0.0000130507315,0.0019731848,0.0017988032,0.00081485236,0.0010425295],"domain_scores_gemma":[0.9970344,0.0004866179,0.00048408867,0.001083977,0.00040689172,0.00050406327],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00035140562,0.0013823295,0.001499035,0.00046980227,0.00014283998,0.0003802205,0.0016844658,0.0010145707,0.000013330223],"category_scores_gemma":[0.00004498199,0.0015080534,0.000844993,0.00039661652,0.00006585016,0.0004822777,0.0011692214,0.001848677,0.00003387278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066873026,0.000030523788,1.6114441e-7,0.0017753323,0.00031277107,0.000024605486,0.000209575,0.76167506,0.058154915,0.17263065,0.00014429669,0.005035424],"study_design_scores_gemma":[0.00077565294,0.00015809058,7.587428e-7,0.002346066,0.00014431456,0.00018616646,0.0000053393633,0.97722846,0.014576383,0.00048814696,0.002672827,0.0014178117],"about_ca_topic_score_codex":0.000006889305,"about_ca_topic_score_gemma":1.1234612e-7,"teacher_disagreement_score":0.21555339,"about_ca_system_score_codex":0.000832987,"about_ca_system_score_gemma":0.0001241324,"threshold_uncertainty_score":0.9998927},"labels":[],"label_agreement":null},{"id":"W4400035661","doi":"10.1016/b978-0-443-28824-1.50563-9","title":"Scalable Modeling of Infinite-Dimensional Nonlinear Programs with InfiniteExaModels.jl","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scalability; Nonlinear system; Computer science; Applied mathematics; Computational science; Mathematics; Physics; Operating system; Quantum mechanics","score_opus":0.008398864691743613,"score_gpt":0.17477614849032613,"score_spread":0.16637728379858252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400035661","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059052687,0.0017297046,0.98245615,0.00002853955,0.0017383043,0.0011965425,0.00011732674,0.004747513,0.0020806699],"genre_scores_gemma":[0.16675125,0.00009600525,0.82111126,0.00007458189,0.00593944,0.0003001206,0.0016540837,0.002579586,0.0014936475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931882,0.000008898213,0.0023880864,0.0016954559,0.0012111827,0.0015081542],"domain_scores_gemma":[0.99674594,0.00036728047,0.00028422492,0.0013514463,0.00047500958,0.0007761022],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.000229464,0.0023632012,0.0025835459,0.00088024134,0.000046758374,0.00021781876,0.0011116235,0.0015549032,0.000037638816],"category_scores_gemma":[0.00003393397,0.002490698,0.000743313,0.00055719377,0.00012489714,0.00046105395,0.0007288504,0.0027091883,0.0000765274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043859312,0.000059865,6.800902e-7,0.002828828,0.00092485984,0.00010754023,0.00008915091,0.9693904,0.020140504,0.0037241704,0.000107138294,0.0025829978],"study_design_scores_gemma":[0.0013988923,0.00015718241,1.2550917e-7,0.004704532,0.00029949486,0.00022569355,8.842146e-7,0.97767335,0.010357127,0.0003919224,0.0024097976,0.0023809674],"about_ca_topic_score_codex":0.000006727375,"about_ca_topic_score_gemma":3.6809698e-7,"teacher_disagreement_score":0.16134484,"about_ca_system_score_codex":0.0007096454,"about_ca_system_score_gemma":0.0001026555,"threshold_uncertainty_score":0.9997413},"labels":[],"label_agreement":null},{"id":"W4400035706","doi":"10.1016/b978-0-443-28824-1.50512-3","title":"Adaptive Physics-Informed Neural Network for Prediction with Evolving Process Parameters","year":2024,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial neural network; Process (computing); Computer science; Artificial intelligence; Statistical physics; Machine learning; Physics","score_opus":0.01156844005666445,"score_gpt":0.20130408855483697,"score_spread":0.18973564849817254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400035706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041514453,0.0002808688,0.987931,0.00007546569,0.0028722545,0.001383033,0.00026182324,0.0016575448,0.0013865726],"genre_scores_gemma":[0.4744912,0.00002500513,0.45762452,0.00030222134,0.054658305,0.0012471146,0.004141378,0.0022009297,0.005309306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952327,0.000005777045,0.0011649278,0.0015976572,0.0006135956,0.0013853594],"domain_scores_gemma":[0.9976292,0.00044927135,0.00031408132,0.0006911104,0.000264821,0.0006515033],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00010708312,0.0017161086,0.0014771913,0.00020289874,0.000096243995,0.00033666243,0.00072594476,0.000631784,0.000055428525],"category_scores_gemma":[0.000008145668,0.001696934,0.0008595285,0.000281996,0.00010451451,0.0004424372,0.0003782214,0.0021139795,0.000023779588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009258094,0.000049635233,0.0000030015788,0.0007882708,0.0009551405,0.00001625528,0.00012479303,0.97221464,0.0012806912,0.012489721,0.0033453314,0.00863994],"study_design_scores_gemma":[0.001108709,0.00020562425,9.56749e-7,0.0018958127,0.00034281888,0.00004787411,0.000002539283,0.9817025,0.0080910055,0.0026205482,0.002339973,0.0016416562],"about_ca_topic_score_codex":0.0000032632047,"about_ca_topic_score_gemma":6.54603e-8,"teacher_disagreement_score":0.53030646,"about_ca_system_score_codex":0.00037035637,"about_ca_system_score_gemma":0.000105847605,"threshold_uncertainty_score":0.9995585},"labels":[],"label_agreement":null},{"id":"W571326948","doi":"10.1016/b978-0-444-63578-5.50072-4","title":"An Approximate Modelling Method for Industrial l-lysine Fermentation Process","year":2015,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Process (computing); Bayesian network; Fermentation; Multivariate statistics; Imputation (statistics); Computer science; Conditional independence; Process engineering; Missing data; Machine learning; Chemistry; Artificial intelligence; Engineering; Food science","score_opus":0.04465391413712568,"score_gpt":0.28520640839441197,"score_spread":0.24055249425728628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W571326948","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004789137,0.00047892463,0.99016994,0.000054724347,0.00075599836,0.00061605655,0.00021504764,0.0019669945,0.00095314614],"genre_scores_gemma":[0.03402964,0.000043126798,0.9379821,0.0001657148,0.017266586,0.00045750488,0.005157694,0.0015262547,0.0033714075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99274856,0.000011117552,0.0020244808,0.0024257742,0.001153467,0.0016366071],"domain_scores_gemma":[0.99569106,0.00049488293,0.0006222835,0.001384288,0.0005820476,0.0012254332],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00043581298,0.002250708,0.002651251,0.00073202635,0.0001003396,0.00035484112,0.0017568833,0.0023642709,0.00024434717],"category_scores_gemma":[0.000107658765,0.0025631133,0.00094721327,0.00048171825,0.00009190562,0.00049295323,0.00048097677,0.0024993669,0.000021132073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014617888,0.0002111518,8.692846e-7,0.0018988997,0.0010456083,0.000034330566,0.00019062794,0.72492373,0.26352713,0.002658294,0.0009358037,0.004427402],"study_design_scores_gemma":[0.0020040518,0.000096565964,4.3461846e-8,0.0004435069,0.00067806494,0.00007855667,0.000003925787,0.70176643,0.2896972,0.0009864619,0.0023667456,0.001878426],"about_ca_topic_score_codex":0.0000087816,"about_ca_topic_score_gemma":6.668703e-8,"teacher_disagreement_score":0.0521879,"about_ca_system_score_codex":0.0011734928,"about_ca_system_score_gemma":0.00019084422,"threshold_uncertainty_score":0.99980193},"labels":[],"label_agreement":null},{"id":"W60039636","doi":"10.1016/s1570-7946(09)70705-9","title":"Bioprocess Systems Engineering Applied to the Production of Protein Hydrolysates in a Multipurpose Plant","year":2009,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","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":"Semtech (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Bioprocess; Biochemical engineering; Bioprocess engineering; Hydrolysate; Production (economics); Process engineering; Engineering; Computer science; Chemistry; Chemical engineering; Biochemistry","score_opus":0.005143407905310046,"score_gpt":0.17124844003404324,"score_spread":0.1661050321287332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W60039636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5701382,0.0054163504,0.41134527,0.00033527458,0.0036042556,0.007274434,0.00021587065,0.0012483443,0.00042200513],"genre_scores_gemma":[0.9528742,0.00009209555,0.03773757,0.000110647685,0.0053915754,0.00049321976,0.001625297,0.00055898854,0.0011164229],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99591523,0.000010200324,0.001374343,0.0013949714,0.00051911554,0.0007861189],"domain_scores_gemma":[0.9980088,0.00007621609,0.0003029864,0.0011115577,0.00018280293,0.0003176606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030648863,0.0011402919,0.0012107797,0.00042662382,0.000032282245,0.0000940844,0.0009945693,0.0009009114,0.000003874703],"category_scores_gemma":[0.00013726042,0.0010862793,0.00036589417,0.0003399731,0.000048820097,0.00002533754,0.00056815695,0.0008925221,0.00001029137],"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":[0.00003762305,0.000053610558,5.0759326e-7,0.0005524222,0.0001324881,0.000006868037,0.000062214065,0.40180764,0.5954352,0.00045739117,0.0001782353,0.0012757794],"study_design_scores_gemma":[0.00049208465,0.000120097204,0.0000048454217,0.0012885421,0.000061211125,0.000059215687,0.0000014753987,0.32675084,0.6620429,0.000008457962,0.008147256,0.0010230256],"about_ca_topic_score_codex":0.0000061831392,"about_ca_topic_score_gemma":5.470306e-7,"teacher_disagreement_score":0.38273597,"about_ca_system_score_codex":0.00021171807,"about_ca_system_score_gemma":0.000057854144,"threshold_uncertainty_score":0.99915874},"labels":[],"label_agreement":null},{"id":"W760351636","doi":"10.1016/b978-0-444-63578-5.50106-7","title":"Alternative Prediction Models for Data Scarce Environment","year":2015,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Unavailability; Computer science; Poisson distribution; Bayesian network; Bayesian probability; Accident (philosophy); Process (computing); Data mining; Operations research; Artificial intelligence; Engineering; Statistics; Reliability engineering; Mathematics","score_opus":0.10365242610864092,"score_gpt":0.28313535552376623,"score_spread":0.1794829294151253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W760351636","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036918675,0.00096819724,0.99309844,0.00025548815,0.0018733524,0.0008395336,0.0009496656,0.00076253933,0.00088361173],"genre_scores_gemma":[0.02942584,0.00055986334,0.9327616,0.00033108037,0.019291466,0.00027670868,0.006835152,0.0012875741,0.00923069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98885894,0.00003249037,0.0029698338,0.0036461335,0.0031090428,0.0013835375],"domain_scores_gemma":[0.99138343,0.0020118998,0.0007143206,0.004054128,0.00056431285,0.0012718941],"candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0016791237,0.0018869302,0.0026331842,0.00085847644,0.000104437924,0.00048277038,0.0055740466,0.0013532066,0.00013083367],"category_scores_gemma":[0.0004316328,0.0018658307,0.0011591631,0.0003551863,0.00017787771,0.0009798992,0.0040554823,0.0018136327,0.00019302459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000667435,0.000089490124,6.012819e-7,0.00015650442,0.0007910958,0.000044053242,0.0001712643,0.940103,0.00642658,0.0070341825,0.012451354,0.03266514],"study_design_scores_gemma":[0.0012883961,0.00010907676,6.287998e-7,0.00035734236,0.00031460542,0.00007188812,0.0000018757327,0.91047233,0.0047345385,0.021527851,0.059558824,0.0015626346],"about_ca_topic_score_codex":0.000010950585,"about_ca_topic_score_gemma":2.0637636e-7,"teacher_disagreement_score":0.0603368,"about_ca_system_score_codex":0.00093135715,"about_ca_system_score_gemma":0.00013311741,"threshold_uncertainty_score":0.99994326},"labels":[],"label_agreement":null}]}