{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004077747,0.0024348937,0.98000485,0.000098118486,0.00010298913,0.000027472317,0.00003172332,0.00015868091,0.013063558],"genre_scores_gemma":[0.4423252,0.0074876077,0.5126227,0.00020400823,0.00023317055,0.00050191575,0.00028824975,0.00028835013,0.036048833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964094,0.000061134735,0.000019942503,0.00006901867,0.0001807266,0.000028171864],"domain_scores_gemma":[0.9998419,0.00007914703,0.000022558386,0.000014442379,0.000034047207,0.0000078061175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065411755,0.0012599503,0.0010860991,0.00036578314,0.0002903039,0.0015205359,0.0011652873,0.00094371184,0.00302922],"category_scores_gemma":[0.00067906454,0.00072316953,0.0010079982,0.00083290605,0.00067271077,0.0010410467,0.0011642278,0.0017785254,0.000776421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000729942,0.00007805545,0.00011953142,0.00033857822,0.00006091668,0.000049398208,0.000073815405,0.7900712,0.010144283,0.050637104,0.0019793638,0.1463748],"study_design_scores_gemma":[0.0000075704625,0.00004831486,0.000052414885,0.00001971455,0.000008121859,0.000014654116,0.0000060421494,0.98283,0.0016667666,0.011563251,0.0037759691,0.000007211891],"about_ca_topic_score_codex":0.0011696812,"about_ca_topic_score_gemma":0.00166337,"teacher_disagreement_score":0.00302922,"about_ca_system_score_codex":0.0006528999,"about_ca_system_score_gemma":0.00068514684,"threshold_uncertainty_score":0.010133803},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007278772,0.0005261809,0.9959441,0.00004159384,0.000025287774,0.00005814865,0.000027413256,0.00015007457,0.0024993843],"genre_scores_gemma":[0.04729758,0.0015491501,0.9461935,0.000057479243,0.00007826718,0.00035027458,0.00011226341,0.00015189746,0.004209593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994553,0.00013740176,0.00003164963,0.000071947834,0.0002701201,0.00003353158],"domain_scores_gemma":[0.99969864,0.00013830655,0.000019202613,0.00005014279,0.00008514272,0.000008646468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000659746,0.0014503035,0.001197481,0.0009988481,0.00068766304,0.0012864157,0.0023330995,0.0011119044,0.0038886117],"category_scores_gemma":[0.0017047485,0.0012212086,0.0011177192,0.0010035732,0.000944404,0.0013391441,0.0011872184,0.0016405868,0.0010016599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048535945,0.000094673465,0.00025192345,0.00060543965,0.000077659104,0.00016958057,0.00018699102,0.53785056,0.012850829,0.14002128,0.0058559966,0.30198646],"study_design_scores_gemma":[0.000030803407,0.00005290874,0.00020604649,0.00007915328,0.00004334095,0.00018435344,0.000033456752,0.88182807,0.0038275647,0.09817298,0.015514141,0.000027222415],"about_ca_topic_score_codex":0.002510687,"about_ca_topic_score_gemma":0.0049673687,"teacher_disagreement_score":0.0038886117,"about_ca_system_score_codex":0.0010313351,"about_ca_system_score_gemma":0.0013405585,"threshold_uncertainty_score":0.013008714},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007569357,0.000098232646,0.9918503,0.00004155772,0.00005309999,0.00008280952,0.00014006163,0.00067349646,0.0063033747],"genre_scores_gemma":[0.017186373,0.000284333,0.96851975,0.000041476487,0.000023938683,0.00015947764,0.00044391246,0.00031175322,0.013029085],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994863,0.00009749225,0.000029782525,0.00012706696,0.00021986944,0.00003946556],"domain_scores_gemma":[0.99957496,0.000079702164,0.000025114248,0.000080374484,0.00022481513,0.000014997947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051991036,0.0011058984,0.00060799305,0.0010878484,0.0009442124,0.0012726507,0.0020530694,0.00082612847,0.024364488],"category_scores_gemma":[0.0011127393,0.00079702004,0.0012459684,0.00084190594,0.00047495338,0.0010766053,0.00089954503,0.0010435574,0.008921964],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038534858,0.00012038062,0.0012115348,0.0008857335,0.000045394896,0.0003994349,0.0004699797,0.107471585,0.03208287,0.09485851,0.023216296,0.73919976],"study_design_scores_gemma":[0.000030389027,0.0002289621,0.0025105057,0.0002146395,0.0001017523,0.0012125619,0.00050109986,0.5476013,0.03616785,0.09166172,0.3196721,0.00009712941],"about_ca_topic_score_codex":0.006093099,"about_ca_topic_score_gemma":0.009879626,"teacher_disagreement_score":0.024364488,"about_ca_system_score_codex":0.00075597095,"about_ca_system_score_gemma":0.0019390428,"threshold_uncertainty_score":0.081507385},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039629724,0.02077499,0.85764146,0.0014899926,0.0003227839,0.0001221838,0.00027394836,0.00029503458,0.07945],"genre_scores_gemma":[0.76565087,0.022329124,0.1526121,0.00015823929,0.00044346135,0.00028699348,0.0005515583,0.0003159287,0.05765169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990582,0.00025699995,0.000024068295,0.00004942117,0.00056342257,0.000047843252],"domain_scores_gemma":[0.9994831,0.00036805565,0.0000245074,0.000030491869,0.000082905965,0.000010838068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010559738,0.0010236206,0.00092149904,0.0014516196,0.00035862447,0.0021284332,0.0012489859,0.001155527,0.002363332],"category_scores_gemma":[0.0017980112,0.00050440326,0.0012511594,0.0016200698,0.0008162705,0.0014591417,0.0007903301,0.0011155934,0.0004395912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006597421,0.00008765657,0.0006398829,0.0002443313,0.00007733459,0.0001273577,0.000038242055,0.77205575,0.004554559,0.09772383,0.0024566443,0.12192844],"study_design_scores_gemma":[0.00000800738,0.000046141464,0.0007431623,0.000049488925,0.000032683864,0.000098853474,0.000029418408,0.88169736,0.0040489607,0.104660414,0.0085599115,0.00002567552],"about_ca_topic_score_codex":0.0020525947,"about_ca_topic_score_gemma":0.002713976,"teacher_disagreement_score":0.002363332,"about_ca_system_score_codex":0.0020238776,"about_ca_system_score_gemma":0.00096037897,"threshold_uncertainty_score":0.0146843195},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011642005,0.0007684185,0.99621767,0.000046159766,0.000066377834,0.000011896997,0.00001971823,0.0002887496,0.0014167797],"genre_scores_gemma":[0.36008993,0.006679626,0.6078176,0.0001614272,0.00038404734,0.00039945135,0.00059721887,0.00031181748,0.023558863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996767,0.000057697594,0.000022346892,0.00007553557,0.00014714176,0.000020480491],"domain_scores_gemma":[0.9997844,0.00010107592,0.000025899297,0.00003706402,0.00004648785,0.000005098989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004729556,0.0012016767,0.0014830895,0.00048426827,0.0002724124,0.0012612123,0.0013099586,0.0012679754,0.0015082447],"category_scores_gemma":[0.0008924493,0.0007553657,0.001034522,0.00090690877,0.0005819943,0.0011712986,0.0005201076,0.0014191935,0.0011298583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002972362,0.000029008199,0.00009627477,0.0001344199,0.0000417875,0.000029104765,0.00004410972,0.8865131,0.002861433,0.010615069,0.0014808275,0.09812508],"study_design_scores_gemma":[0.000004771428,0.000011797375,0.00007738196,0.00000796506,0.000009016208,0.000011297163,0.0000028085299,0.9912778,0.0008859964,0.0055993143,0.0021059988,0.000005855908],"about_ca_topic_score_codex":0.007071669,"about_ca_topic_score_gemma":0.004800422,"teacher_disagreement_score":0.007071669,"about_ca_system_score_codex":0.0004992644,"about_ca_system_score_gemma":0.0005558125,"threshold_uncertainty_score":0.014061034},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013610361,0.00039826945,0.9833103,0.00010437576,0.00002378154,0.000010906501,0.000040313265,0.00064244895,0.0018592802],"genre_scores_gemma":[0.36365965,0.00066893554,0.629828,0.00010941704,0.00013821707,0.00012749546,0.0002615454,0.0005369907,0.0046697673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992993,0.00024507954,0.00004069949,0.00013921515,0.00023763893,0.00003796574],"domain_scores_gemma":[0.9983359,0.0010229126,0.00016117847,0.00021841226,0.00023609037,0.000025515319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011828368,0.0012542014,0.0009529718,0.00062333426,0.00026295913,0.0009865782,0.000955664,0.0008825584,0.0016832632],"category_scores_gemma":[0.0051276535,0.0005937186,0.00040443963,0.0008410893,0.0005461284,0.0024048954,0.0009751362,0.0014027267,0.00064036524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027556266,0.00009414405,0.0011556969,0.00022969843,0.000047100835,0.00006045359,0.00008634416,0.526429,0.027059676,0.008119728,0.0031455376,0.43329707],"study_design_scores_gemma":[0.0000030434908,0.00003023571,0.00020763258,0.0000063197635,0.000006130532,0.00001162806,0.0000053087065,0.98746383,0.0077277343,0.0037848821,0.0007486416,0.0000045239544],"about_ca_topic_score_codex":0.0008462649,"about_ca_topic_score_gemma":0.00069275056,"teacher_disagreement_score":0.0016832632,"about_ca_system_score_codex":0.00030881466,"about_ca_system_score_gemma":0.00032122608,"threshold_uncertainty_score":0.0062555075},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1593813,0.00027717502,0.20545994,0.0020856278,0.0015336756,0.005243962,0.016208313,0.015527558,0.5942824],"genre_scores_gemma":[0.18826799,0.00061084895,0.06210063,0.00080794864,0.000103906976,0.0018936155,0.011156143,0.0007038926,0.734355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998877,0.000020002175,0.0000042742677,0.000024782275,0.000040298637,0.000022898885],"domain_scores_gemma":[0.99970514,0.000034817356,0.000009675275,0.000048367012,0.0000851652,0.00011676237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028107816,0.0007826515,0.00027955853,0.00041336322,0.0005791321,0.00033184636,0.0011029441,0.0005000224,0.182731],"category_scores_gemma":[0.0005765106,0.0003111496,0.00030035508,0.00019959206,0.0001203058,0.0003686617,0.0012255773,0.00095827953,0.05141686],"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":[0.0013289785,0.0076374803,0.007362271,0.0002918731,0.000032929,0.00047516468,0.0006210308,0.020976774,0.029139431,0.0072616492,0.3748397,0.5500327],"study_design_scores_gemma":[0.0006836276,0.004243158,0.015066007,0.00019125549,0.00006149495,0.0008092881,0.0006585587,0.05228132,0.020578466,0.0061097657,0.8992358,0.000081369435],"about_ca_topic_score_codex":0.0015730523,"about_ca_topic_score_gemma":0.003678727,"teacher_disagreement_score":0.182731,"about_ca_system_score_codex":0.00024623942,"about_ca_system_score_gemma":0.0016926659,"threshold_uncertainty_score":0.61129606},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050497116,0.0017767383,0.9869523,0.00039097975,0.00009777262,0.00001737869,0.00007248915,0.00016631334,0.005476355],"genre_scores_gemma":[0.69661707,0.0076489877,0.26823112,0.00021902585,0.00067445775,0.0002622599,0.0004770575,0.00035407234,0.025515903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992092,0.00025294084,0.000045463028,0.00012023853,0.00031605276,0.000056152414],"domain_scores_gemma":[0.9988067,0.0008709515,0.000103139006,0.000053307893,0.00013659945,0.000029394418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257319,0.0013898655,0.0018473186,0.00062875403,0.00035033422,0.001695842,0.0017475936,0.0014134484,0.0027984588],"category_scores_gemma":[0.0034663673,0.0009735757,0.0012160207,0.0017238042,0.0010227413,0.002115206,0.0009963276,0.0018754723,0.0004314476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010483625,0.00000793466,0.000059966686,0.00002661409,0.000018117968,0.000013349952,0.000012325816,0.96894985,0.00015767959,0.020121267,0.000605138,0.010017173],"study_design_scores_gemma":[0.0000012092814,0.0000041697317,0.00003824557,0.0000030186097,0.000003338901,0.0000061566247,0.0000023259104,0.98590416,0.000040466162,0.01359812,0.00039428298,0.000004508658],"about_ca_topic_score_codex":0.007243862,"about_ca_topic_score_gemma":0.0071475413,"teacher_disagreement_score":0.007243862,"about_ca_system_score_codex":0.0013129564,"about_ca_system_score_gemma":0.0011192348,"threshold_uncertainty_score":0.014403403},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00084530166,0.000094063944,0.99870884,0.000022145667,0.000017232875,0.000008699613,0.000012595919,0.00012072372,0.00017042432],"genre_scores_gemma":[0.030152958,0.00025199947,0.96707624,0.0000683309,0.000050010643,0.000110065965,0.00012527384,0.00041608282,0.0017489046],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950794,0.0032271375,0.00018491877,0.00040241526,0.0010158226,0.00009035207],"domain_scores_gemma":[0.99397427,0.0043449197,0.00025565625,0.00054960477,0.0008144689,0.00006101417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004810492,0.0013162944,0.0016842016,0.0012366569,0.00041004544,0.0010638032,0.0018386329,0.0013578384,0.0027890482],"category_scores_gemma":[0.0146978665,0.00094040827,0.0014176982,0.002772907,0.00086629664,0.0019472537,0.0016194631,0.002250487,0.0013781729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037486706,0.00020925989,0.0012209899,0.0005692026,0.00052020524,0.00013951006,0.00023861861,0.14755534,0.029106371,0.15419796,0.0062161423,0.65965164],"study_design_scores_gemma":[0.000029804467,0.00013208238,0.0008686529,0.000035801393,0.00007444713,0.00016033584,0.00003167487,0.9312091,0.00541356,0.055132225,0.0068372265,0.00007511874],"about_ca_topic_score_codex":0.0023944129,"about_ca_topic_score_gemma":0.0045430805,"teacher_disagreement_score":0.004810492,"about_ca_system_score_codex":0.00049031305,"about_ca_system_score_gemma":0.0013382279,"threshold_uncertainty_score":0.025440633},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001971811,0.0015721202,0.9725219,0.000570294,0.00015256056,0.000027865817,0.000076651726,0.00016696578,0.022939904],"genre_scores_gemma":[0.32202554,0.009463043,0.55011994,0.0011608264,0.0012074416,0.00082586746,0.0006767496,0.0016680006,0.112852596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898595,0.0004379833,0.000036911857,0.00013276785,0.00031473103,0.000091573165],"domain_scores_gemma":[0.9985355,0.0009923737,0.000094045376,0.00014395016,0.00016394237,0.000070170165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020036527,0.0025258402,0.0019682671,0.0008534901,0.00070336787,0.0025002146,0.0019136391,0.0019048622,0.008694461],"category_scores_gemma":[0.006963611,0.0014890601,0.0018918989,0.0015784287,0.0023938934,0.00393628,0.0030254277,0.0072109653,0.0021651478],"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":[0.000039209368,0.000043414388,0.000059248774,0.00013330644,0.000028734707,0.000040163315,0.000106263426,0.25054705,0.00087717926,0.709059,0.009419147,0.029647298],"study_design_scores_gemma":[0.000009283204,0.000018614019,0.000034552755,0.000024516203,0.000009234524,0.000015555132,0.000020299058,0.5836495,0.00020990669,0.41054806,0.005447994,0.000012462525],"about_ca_topic_score_codex":0.0033144823,"about_ca_topic_score_gemma":0.0037517725,"teacher_disagreement_score":0.008694461,"about_ca_system_score_codex":0.0019805187,"about_ca_system_score_gemma":0.0013563585,"threshold_uncertainty_score":0.029085875},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0122634545,0.0114433495,0.71334547,0.00057786563,0.00082092005,0.00009608553,0.00034513013,0.0011584386,0.25994933],"genre_scores_gemma":[0.67618483,0.017618805,0.12324732,0.00042726612,0.00068349834,0.00039357357,0.0010193015,0.00083476206,0.17959064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999881,0.000014433829,0.000004431774,0.000032373762,0.000054970245,0.000012772722],"domain_scores_gemma":[0.9999379,0.0000322381,0.0000043087016,0.0000078363455,0.000015099911,0.0000026360178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015258112,0.0007701027,0.0006219385,0.00032023506,0.00031897755,0.0012689686,0.0008277028,0.0007208486,0.013091161],"category_scores_gemma":[0.0004824012,0.0003598608,0.00039126314,0.0006526343,0.00053668034,0.0010291659,0.00067159743,0.0011746258,0.0018293364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008606601,0.000073428724,0.00011394838,0.00049284345,0.000031323554,0.00008110607,0.0000942679,0.5541662,0.00843895,0.2246764,0.020147564,0.19159785],"study_design_scores_gemma":[0.000012483531,0.000060562834,0.00027219212,0.00014043247,0.000020407597,0.000050041046,0.000024907758,0.7890543,0.0062739444,0.17480311,0.029256443,0.000031222116],"about_ca_topic_score_codex":0.0012069121,"about_ca_topic_score_gemma":0.0011359779,"teacher_disagreement_score":0.013091161,"about_ca_system_score_codex":0.0005910072,"about_ca_system_score_gemma":0.0004797909,"threshold_uncertainty_score":0.043794274},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014075673,0.00065156765,0.9871476,0.000116633404,0.00014056738,0.000027394663,0.000058414473,0.0001892712,0.01026099],"genre_scores_gemma":[0.102178454,0.0017768459,0.86073613,0.0003073379,0.0003264626,0.00045042383,0.0003092637,0.0005132653,0.03340183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949837,0.00016193808,0.000018863731,0.000059424347,0.00022650482,0.000034900637],"domain_scores_gemma":[0.9997049,0.00019446282,0.000014943855,0.000017577879,0.000059858932,0.000008292946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007491512,0.0015652461,0.0012226915,0.0005118316,0.0003747649,0.0010322409,0.0018667242,0.0012636887,0.0073423744],"category_scores_gemma":[0.0012620793,0.0009203877,0.0014769519,0.0012448487,0.00055885856,0.0012827152,0.0012463406,0.0025303697,0.0016075707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031755724,0.00006846225,0.000059721126,0.00021305183,0.000056192446,0.000051321844,0.000039110197,0.8850707,0.0025821778,0.042047396,0.0046589323,0.06512114],"study_design_scores_gemma":[0.000005019858,0.000015404848,0.000024508046,0.0000059890594,0.00000741273,0.00000860128,0.0000035814253,0.9913322,0.00028785577,0.005740334,0.0025646018,0.0000045730176],"about_ca_topic_score_codex":0.005814086,"about_ca_topic_score_gemma":0.00787649,"teacher_disagreement_score":0.0073423744,"about_ca_system_score_codex":0.0006343851,"about_ca_system_score_gemma":0.0010024708,"threshold_uncertainty_score":0.024562657},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006538134,0.00014938253,0.9872699,0.00009352159,0.000047580157,0.000076527554,0.00004571922,0.00073288876,0.005046442],"genre_scores_gemma":[0.6878143,0.000324873,0.30476502,0.00017068398,0.000041728144,0.0005100117,0.00016869193,0.00030289247,0.0059017194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996088,0.00014252058,0.000017917277,0.00006172745,0.00014110339,0.000027960794],"domain_scores_gemma":[0.9995278,0.00031487714,0.000030409188,0.00003129992,0.000085748485,0.000009892606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007585504,0.0011521989,0.0007447344,0.00035937963,0.000323996,0.0007752739,0.00080113835,0.0007478616,0.003574328],"category_scores_gemma":[0.0013863022,0.00058728154,0.0011919638,0.00025648478,0.00038434778,0.00042965962,0.000582539,0.0009092929,0.00048973714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007879847,0.000050120034,0.00009231357,0.000112787406,0.000041765587,0.000043450505,0.000027371423,0.95430595,0.010780536,0.008814752,0.00062375097,0.025028301],"study_design_scores_gemma":[0.0000052476717,0.000023714942,0.000028339738,0.0000035658156,0.000007457883,0.000006465916,0.0000012194112,0.99641234,0.0013573904,0.0016987175,0.00045206276,0.0000035667747],"about_ca_topic_score_codex":0.00212224,"about_ca_topic_score_gemma":0.0018201882,"teacher_disagreement_score":0.003574328,"about_ca_system_score_codex":0.0005682877,"about_ca_system_score_gemma":0.0006396357,"threshold_uncertainty_score":0.011957347},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038672579,0.008501398,0.9729934,0.0013587862,0.00013181946,0.000070612674,0.00037309047,0.0012039252,0.011499768],"genre_scores_gemma":[0.061686497,0.02096212,0.90332496,0.00049363123,0.00026855266,0.00015226469,0.001408574,0.00060538674,0.0110979425],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979215,0.0006168347,0.00010390266,0.0002730535,0.0010311509,0.000053607884],"domain_scores_gemma":[0.9920747,0.00634099,0.00015943611,0.0009481996,0.00042612499,0.000050584702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003764872,0.0015345913,0.0014804805,0.0014064272,0.00038877595,0.0031751252,0.0022296167,0.0010571163,0.0047098408],"category_scores_gemma":[0.009695502,0.0011603372,0.0011254086,0.0032111837,0.0013469639,0.006686596,0.0018217649,0.0030255974,0.0022859843],"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":[0.000085940854,0.00009532719,0.0010578097,0.00051824027,0.00015965154,0.00017697872,0.00019157655,0.17171971,0.0024267056,0.17484093,0.01614273,0.6325845],"study_design_scores_gemma":[0.000026929809,0.00006446112,0.0006441101,0.00025388805,0.00008536796,0.00026722316,0.000060944833,0.5856349,0.0042103906,0.34548026,0.0632076,0.000064043226],"about_ca_topic_score_codex":0.0036330738,"about_ca_topic_score_gemma":0.004616241,"teacher_disagreement_score":0.0047098408,"about_ca_system_score_codex":0.0008175755,"about_ca_system_score_gemma":0.00095627113,"threshold_uncertainty_score":0.019910753},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0803415,0.0021377692,0.90739477,0.00032817756,0.000083028055,0.000046266177,0.00013503799,0.0035764568,0.005957057],"genre_scores_gemma":[0.67398506,0.0016485285,0.31324783,0.00018656465,0.00018919181,0.00012437926,0.00033310434,0.000301937,0.009983453],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993973,0.00014214839,0.000030962532,0.00013477437,0.0002574299,0.000037308928],"domain_scores_gemma":[0.9987424,0.0008024786,0.00013099254,0.000094786716,0.00020960195,0.000019879026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008305625,0.0012432158,0.0008481842,0.00066929276,0.00018990201,0.0010286306,0.0014024576,0.0010304025,0.0015162453],"category_scores_gemma":[0.002136647,0.00046111373,0.00028468616,0.00050532917,0.0004095009,0.001241248,0.0003129376,0.0008956698,0.00078400265],"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":[0.00067405554,0.00027459403,0.002482124,0.00043695548,0.00009311929,0.00018383263,0.0001566266,0.23367426,0.16781707,0.003433229,0.004182695,0.5865914],"study_design_scores_gemma":[0.000018321689,0.00021662688,0.0020335324,0.000024042924,0.000039552702,0.00013532267,0.00001578856,0.9003885,0.091715015,0.002923317,0.0024627622,0.000027175594],"about_ca_topic_score_codex":0.00084293744,"about_ca_topic_score_gemma":0.0008224012,"teacher_disagreement_score":0.0015162453,"about_ca_system_score_codex":0.00034686844,"about_ca_system_score_gemma":0.00028458415,"threshold_uncertainty_score":0.0050723553},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03779846,0.0019612464,0.91880983,0.0005068589,0.00020091761,0.0001797635,0.0017621103,0.0014153311,0.03736553],"genre_scores_gemma":[0.8450586,0.0015721099,0.11358,0.00017970134,0.00008221515,0.0005956597,0.0013304243,0.00030960605,0.037291676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976796,0.00006449977,0.00001114226,0.000050094306,0.000067810186,0.0000385636],"domain_scores_gemma":[0.9997327,0.00015109092,0.000021218953,0.000018377892,0.000059277623,0.00001741159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045919121,0.00096424296,0.0020424975,0.0005063699,0.0006726595,0.001509642,0.0026339067,0.0015534704,0.010346862],"category_scores_gemma":[0.00069601013,0.0010593412,0.0013366943,0.0013762317,0.00058465573,0.0015836125,0.00095425104,0.001643091,0.0011216139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011962982,0.0000074430395,0.00003774358,0.000016090538,0.000005539955,0.000011440769,0.000003895727,0.99658895,0.00009983448,0.0009581098,0.0002444437,0.002014456],"study_design_scores_gemma":[0.000003036289,0.0000050614303,0.000021360487,0.0000017151974,0.0000025957609,0.0000020648881,0.000001354649,0.9991474,0.000045607947,0.00059829635,0.00016951696,0.0000020322623],"about_ca_topic_score_codex":0.035754215,"about_ca_topic_score_gemma":0.02438478,"teacher_disagreement_score":0.035754215,"about_ca_system_score_codex":0.0018759372,"about_ca_system_score_gemma":0.0017354739,"threshold_uncertainty_score":0.07109219},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24883655,0.073151,0.22734316,0.0011367705,0.0014623404,0.00017812173,0.00085952494,0.0026576002,0.44437495],"genre_scores_gemma":[0.6765548,0.02442283,0.09526617,0.00039822413,0.00031838703,0.000124304,0.000996427,0.000764256,0.20115444],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999273,0.0000039538795,0.0000019127115,0.000015244427,0.000040775474,0.000010850333],"domain_scores_gemma":[0.9999889,0.0000033409717,0.000001348948,0.0000017202639,0.0000031347504,0.0000016572908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008719988,0.00048672632,0.0003588283,0.00046449478,0.00023511182,0.00071964687,0.0005129581,0.00040228784,0.011017878],"category_scores_gemma":[0.00005791499,0.00019685346,0.0004747226,0.00082182465,0.00018319498,0.0011920149,0.00049235596,0.0006769303,0.0026685542],"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":[0.00024319346,0.0002878256,0.00035492808,0.0010766373,0.000058480648,0.00032454642,0.00008243602,0.0068192286,0.5509122,0.019643264,0.0076368754,0.41256034],"study_design_scores_gemma":[0.00004942124,0.00047756004,0.0015329198,0.00017706664,0.000094357216,0.0007259185,0.000090829635,0.020819653,0.74438417,0.012078491,0.21952449,0.000045203415],"about_ca_topic_score_codex":0.00036579533,"about_ca_topic_score_gemma":0.0015729645,"teacher_disagreement_score":0.011017878,"about_ca_system_score_codex":0.00027723552,"about_ca_system_score_gemma":0.00018625967,"threshold_uncertainty_score":0.0368585},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005700414,0.0018802194,0.013488744,0.004223127,0.004908514,0.00027788067,0.002545922,0.0023253753,0.96978015],"genre_scores_gemma":[0.0012059194,0.0011744929,0.0029885273,0.00047335454,0.00062857714,0.00015328811,0.002265027,0.00076413,0.9903466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99792165,0.00021555433,0.0001086961,0.00034903534,0.0011795536,0.0002254965],"domain_scores_gemma":[0.9956044,0.00034449896,0.00014594293,0.0006833193,0.0024324197,0.00078936573],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024221498,0.0014017846,0.0008601767,0.0037169943,0.0018895064,0.0049518235,0.001504604,0.0012848887,0.55140597],"category_scores_gemma":[0.005247454,0.0007013274,0.0007092604,0.0033851569,0.0005730617,0.003313144,0.0027633037,0.0035614616,0.5272304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021228238,0.000038412916,0.000102602986,0.00007110199,0.0000026743378,0.000013767263,0.000030800566,0.00017202277,0.00041180965,0.012844959,0.86963683,0.11665377],"study_design_scores_gemma":[0.0000030204171,0.00000582545,0.00011292009,0.00003790051,0.0000017322512,0.000022964417,0.000016510076,0.00016534493,0.00020166459,0.0017175747,0.9977118,0.000002695939],"about_ca_topic_score_codex":0.0017234506,"about_ca_topic_score_gemma":0.003478348,"teacher_disagreement_score":0.55140597,"about_ca_system_score_codex":0.001766733,"about_ca_system_score_gemma":0.004510887,"threshold_uncertainty_score":0.6398649},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88938034,0.0006082919,0.025192713,0.00084753835,0.00021976419,0.000099376426,0.0009783924,0.00044251897,0.08223113],"genre_scores_gemma":[0.98513085,0.00021846282,0.005407294,0.00011096908,0.000017708397,0.00008901034,0.00043560905,0.00007182585,0.008518188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991,0.000010123579,0.0000026927185,0.000012011666,0.00003033949,0.000034663557],"domain_scores_gemma":[0.9997546,0.00015728644,0.000016746702,0.000011976973,0.000038945753,0.000020356658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108198954,0.0004973358,0.00057854044,0.00025134202,0.0006674258,0.0006374965,0.0009847793,0.0014004989,0.0047648684],"category_scores_gemma":[0.000583692,0.00037663878,0.00062785076,0.0004172507,0.00056466775,0.00053610164,0.00043807604,0.00061872194,0.00030346398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009403043,0.000048498085,0.00067619316,0.0000688976,0.000019197021,0.00011380069,0.00004334854,0.98765475,0.005428364,0.0034755396,0.00053571584,0.0018416445],"study_design_scores_gemma":[0.00002064562,0.000028461029,0.00020885828,0.0000044399317,0.0000040038517,0.000010757948,0.0000130172675,0.99672616,0.0022840854,0.00033304872,0.00036101844,0.000005563836],"about_ca_topic_score_codex":0.02559111,"about_ca_topic_score_gemma":0.013116499,"teacher_disagreement_score":0.02559111,"about_ca_system_score_codex":0.0011824353,"about_ca_system_score_gemma":0.0011064854,"threshold_uncertainty_score":0.050884306},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.577194,0.030032067,0.20365638,0.0016699485,0.0004096543,0.00023348223,0.0012993851,0.00032381734,0.18518132],"genre_scores_gemma":[0.90125996,0.013232939,0.022960873,0.00010359793,0.000087233544,0.00007479883,0.00074258907,0.000082056096,0.061455876],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993145,0.0000052452688,0.0000021678973,0.000007282147,0.000046794554,0.0000070568944],"domain_scores_gemma":[0.9999802,0.0000102562035,0.0000014953253,0.0000014666435,0.0000052443547,0.0000012867417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008689359,0.00036989065,0.0002828616,0.0004099995,0.00023869096,0.0006461882,0.00031972898,0.0002826804,0.0028423637],"category_scores_gemma":[0.00009467743,0.00014526698,0.00058269757,0.00042312095,0.00021242141,0.00064452476,0.00018479336,0.00051361567,0.0004569972],"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":[0.00046183766,0.00035731707,0.0012854659,0.0008668901,0.00007135404,0.00056435226,0.000057557503,0.11905625,0.6288284,0.066891156,0.0020362295,0.17952321],"study_design_scores_gemma":[0.000029350818,0.00043264934,0.006789476,0.00007766791,0.00009897791,0.00040233086,0.000105793886,0.3300951,0.5914815,0.037785806,0.032653455,0.00004786519],"about_ca_topic_score_codex":0.0013894989,"about_ca_topic_score_gemma":0.002946066,"teacher_disagreement_score":0.0028423637,"about_ca_system_score_codex":0.00074047706,"about_ca_system_score_gemma":0.00043630612,"threshold_uncertainty_score":0.009508669},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90937805,0.00053549244,0.052634325,0.0002848993,0.00009641048,0.00006488205,0.00086807006,0.00099843,0.035139434],"genre_scores_gemma":[0.9889531,0.00012050009,0.0067685028,0.000031572203,0.000007683936,0.00004173186,0.0002780372,0.00006751209,0.0037312391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999961,0.000007732594,0.0000018499841,0.0000072808834,0.000015445945,0.000006553473],"domain_scores_gemma":[0.9998254,0.00011626171,0.000011202547,0.000011360204,0.000028039653,0.000007797002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011190304,0.0003704643,0.00037784711,0.00021920491,0.00029679944,0.00044018144,0.00055829366,0.0006449374,0.0036657455],"category_scores_gemma":[0.00035802103,0.00027627876,0.0004254946,0.00031724432,0.00029325174,0.00033211062,0.00022487773,0.00036186472,0.00025462257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004248697,0.000024380091,0.00034597324,0.000022238077,0.000011082405,0.000027799799,0.000017394013,0.9924665,0.0033113682,0.0005570115,0.00024447203,0.00292933],"study_design_scores_gemma":[0.0000042440765,0.0000092284145,0.0001573041,0.0000015193657,0.0000015821023,0.0000029160292,0.000003761112,0.9987546,0.0008257999,0.000114010654,0.0001228421,0.0000021708272],"about_ca_topic_score_codex":0.007114022,"about_ca_topic_score_gemma":0.005765364,"teacher_disagreement_score":0.007114022,"about_ca_system_score_codex":0.00042886043,"about_ca_system_score_gemma":0.00029216034,"threshold_uncertainty_score":0.014145255},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14995855,0.0017109481,0.8014145,0.00043852068,0.00021853573,0.00031377206,0.00030457694,0.0009473091,0.044693325],"genre_scores_gemma":[0.8691637,0.00046424603,0.11887002,0.000085989894,0.000042689353,0.000398179,0.00017350618,0.00011054269,0.010691211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997501,0.000043495438,0.000008218021,0.00007329535,0.00007240993,0.000052450807],"domain_scores_gemma":[0.9998124,0.000089611814,0.000030907937,0.000008846908,0.000044030032,0.000014253513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050984975,0.0009354665,0.0013551307,0.00052601885,0.0007373899,0.0015674484,0.0010267929,0.0017569497,0.0044745016],"category_scores_gemma":[0.0007314838,0.0012663292,0.00094986893,0.00040591048,0.00060185604,0.000760742,0.00065509207,0.00089882483,0.00057231553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013343044,0.00004924212,0.00015714273,0.00011313472,0.000028243196,0.00005348715,0.000024918496,0.97774386,0.0060861628,0.0022972638,0.00039301795,0.012920041],"study_design_scores_gemma":[0.000037330024,0.00007602669,0.00013330876,0.000006934787,0.000018652672,0.000011464124,0.000014299944,0.99658173,0.0017315771,0.0006254421,0.0007564068,0.0000068770546],"about_ca_topic_score_codex":0.007404447,"about_ca_topic_score_gemma":0.00915927,"teacher_disagreement_score":0.007404447,"about_ca_system_score_codex":0.0014426893,"about_ca_system_score_gemma":0.0020263686,"threshold_uncertainty_score":0.014968634},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069713956,0.0010449478,0.97169626,0.00016420556,0.00019884475,0.000033725213,0.000041865922,0.00087413786,0.0189747],"genre_scores_gemma":[0.75652003,0.0015069786,0.2172772,0.00010969752,0.0002476373,0.00015466215,0.0002216145,0.00030767775,0.023654534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978155,0.000036701626,0.000008761548,0.00006297009,0.00008619435,0.000023829694],"domain_scores_gemma":[0.99986017,0.00004977006,0.000018369967,0.00003145617,0.000030745603,0.000009524616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030438948,0.00079097395,0.0006995735,0.00020302278,0.00028828357,0.0009877491,0.0009803543,0.0004711126,0.0032901762],"category_scores_gemma":[0.00056891656,0.0002934352,0.000352465,0.00040095206,0.00035700892,0.0007362321,0.00068239623,0.0010012372,0.00085164147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097831464,0.00006683384,0.00014145013,0.00009552821,0.000038560644,0.000057364137,0.000051543724,0.7626437,0.008107549,0.023099637,0.004562595,0.20103735],"study_design_scores_gemma":[0.000018396497,0.000042608935,0.00012060892,0.000010933283,0.000008914011,0.00002241822,0.00000823473,0.98109376,0.003301665,0.0096908575,0.0056743287,0.0000072593934],"about_ca_topic_score_codex":0.0013701199,"about_ca_topic_score_gemma":0.0016040478,"teacher_disagreement_score":0.0032901762,"about_ca_system_score_codex":0.0004327033,"about_ca_system_score_gemma":0.00053799484,"threshold_uncertainty_score":0.011006713},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06211769,0.111759305,0.15466155,0.0019833492,0.0032100563,0.00016372166,0.00040589384,0.0012996767,0.6643987],"genre_scores_gemma":[0.3211865,0.08220608,0.089358546,0.00081962853,0.0006096381,0.00017360135,0.0009456602,0.0006471573,0.5040531],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991965,0.000004311513,0.0000023055911,0.000016057882,0.000046887722,0.000010882749],"domain_scores_gemma":[0.9999869,0.000005879086,8.508259e-7,0.0000018653351,0.0000028523639,0.0000017216241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010052028,0.000450903,0.00030924423,0.0006670341,0.0002764395,0.0008827527,0.00052056194,0.00043409245,0.011846683],"category_scores_gemma":[0.00011680312,0.0002245964,0.00043011425,0.0009229317,0.0004033029,0.0017377548,0.0008183721,0.0010935846,0.0044542733],"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":[0.00010241933,0.00018580178,0.00032434182,0.0016918769,0.00006790389,0.0003136618,0.00027717144,0.004909487,0.16162407,0.21555817,0.02515552,0.5897895],"study_design_scores_gemma":[0.000032097418,0.0001624893,0.0005403474,0.0003356537,0.000043146178,0.00060374866,0.00015417636,0.0072650528,0.14842121,0.064626336,0.7777803,0.000035393565],"about_ca_topic_score_codex":0.00035485017,"about_ca_topic_score_gemma":0.0016235141,"teacher_disagreement_score":0.011846683,"about_ca_system_score_codex":0.00035685988,"about_ca_system_score_gemma":0.00026661967,"threshold_uncertainty_score":0.03963113},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20465665,0.0026447955,0.5159992,0.0022797051,0.00042843007,0.00037730712,0.0020958157,0.00072620186,0.27079183],"genre_scores_gemma":[0.84061295,0.001747018,0.058755256,0.00014847287,0.00008910994,0.0005180236,0.0007541592,0.00028284476,0.097092204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997825,0.000076141936,0.0000073477695,0.000031782634,0.00005728518,0.000044810484],"domain_scores_gemma":[0.9996136,0.00026442634,0.000028157825,0.000017281283,0.000056092536,0.000020485117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065095763,0.00097137666,0.001537625,0.00084766676,0.00067367055,0.0025799114,0.0017411031,0.001939568,0.011544093],"category_scores_gemma":[0.0012586106,0.00093367934,0.0017256367,0.0013893216,0.0007286713,0.001776871,0.00075988745,0.001417053,0.0006839885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020223531,0.000027319025,0.000046563677,0.000018222343,0.000008108099,0.00001012697,0.0000035720493,0.9927544,0.0001288303,0.0037339416,0.00044045955,0.0028082284],"study_design_scores_gemma":[0.000008845671,0.000012994423,0.000045884153,0.0000035451976,0.0000074414247,0.0000022061517,0.0000043465634,0.9975337,0.000084934116,0.0017553074,0.0005365151,0.0000043151495],"about_ca_topic_score_codex":0.027840286,"about_ca_topic_score_gemma":0.025243256,"teacher_disagreement_score":0.027840286,"about_ca_system_score_codex":0.0034379747,"about_ca_system_score_gemma":0.0025288167,"threshold_uncertainty_score":0.055356503},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5990743,0.05683446,0.052736543,0.0011261028,0.0007602995,0.00027738634,0.0016276598,0.0012114061,0.2863518],"genre_scores_gemma":[0.88840455,0.014001703,0.010844312,0.00008504275,0.00008522884,0.000043935856,0.0009496569,0.00023015738,0.085355274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999255,0.000004178368,0.0000023728333,0.000014875154,0.00004071327,0.000012238711],"domain_scores_gemma":[0.999987,0.0000037499988,0.0000012361231,0.0000021566943,0.0000038649578,0.0000020371383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007454678,0.00045663552,0.00036962383,0.00054444774,0.00024378729,0.00038615434,0.00035068003,0.00028236394,0.0020404446],"category_scores_gemma":[0.000099709294,0.00016354672,0.0003507235,0.0005251141,0.0001470848,0.00055620866,0.00032354504,0.000365397,0.0011660574],"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":[0.00034343533,0.00012647909,0.0006249301,0.0015931871,0.00006380879,0.00045430282,0.00014003336,0.0051415446,0.7542832,0.0077549727,0.004236945,0.22523712],"study_design_scores_gemma":[0.000012618849,0.000096306285,0.0010881142,0.000041979718,0.00002372096,0.00018855117,0.000036046662,0.0025689797,0.9613783,0.0013689268,0.033186592,0.0000099269555],"about_ca_topic_score_codex":0.00077703275,"about_ca_topic_score_gemma":0.0022240703,"teacher_disagreement_score":0.0020404446,"about_ca_system_score_codex":0.00063699024,"about_ca_system_score_gemma":0.00024367133,"threshold_uncertainty_score":0.0068259835},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13621514,0.0026979095,0.798904,0.0004061485,0.0001613607,0.00030587692,0.00023788915,0.0008432496,0.060228392],"genre_scores_gemma":[0.9001451,0.0010303323,0.079938486,0.00007943251,0.000036961042,0.00039222414,0.00020124264,0.00009721848,0.018079093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998696,0.000027328546,0.0000063560747,0.000028472748,0.00004955134,0.000018670356],"domain_scores_gemma":[0.9999474,0.000018438197,0.000008264384,0.0000032048606,0.000020105075,0.0000025304178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002321417,0.00071268127,0.00073494925,0.0002628411,0.0004950721,0.000969333,0.0006156678,0.0005812421,0.0032042663],"category_scores_gemma":[0.00018055955,0.0003941348,0.0005923996,0.00035334428,0.00019410763,0.00054995256,0.00030057767,0.0004026614,0.0004910055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015774825,0.000088388966,0.00044712657,0.00040174846,0.0000643095,0.00011302965,0.00007837134,0.85917944,0.033930328,0.0053206305,0.0018485603,0.098370284],"study_design_scores_gemma":[0.000024704714,0.00019242227,0.000547115,0.000013463603,0.00004001948,0.000039067127,0.000038706992,0.9873354,0.0070111407,0.0011159143,0.0036307783,0.000011261509],"about_ca_topic_score_codex":0.0026636436,"about_ca_topic_score_gemma":0.0043739146,"teacher_disagreement_score":0.0032042663,"about_ca_system_score_codex":0.0005187325,"about_ca_system_score_gemma":0.00067145185,"threshold_uncertainty_score":0.010719299},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0144811245,0.000467101,0.9596195,0.00021080392,0.00009955393,0.00011166462,0.0002722519,0.001192291,0.023545634],"genre_scores_gemma":[0.56691074,0.0006040104,0.4129954,0.0002197166,0.00008331512,0.00055412075,0.000560419,0.0006509821,0.017421326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980897,0.000046533394,0.000007449384,0.00003395047,0.00007699098,0.000026120202],"domain_scores_gemma":[0.9997893,0.00010752738,0.00001677278,0.000015671087,0.00006019735,0.000010525526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035387927,0.0012498654,0.0016581046,0.0006845526,0.0007708028,0.0014155101,0.0016608537,0.0016334289,0.008285014],"category_scores_gemma":[0.0007967501,0.0010835269,0.0012597673,0.0008551291,0.0004009897,0.0008131922,0.0007700242,0.0011308279,0.0010017372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010575724,0.000018666185,0.00004328882,0.000022969305,0.000009863197,0.000016231048,0.0000062897916,0.9912088,0.0004761823,0.0012144553,0.00036576067,0.0066069984],"study_design_scores_gemma":[0.0000031036734,0.000005765913,0.000017483531,0.0000022984266,0.0000030063911,0.0000031838265,0.0000025194308,0.99903935,0.000109031935,0.00055598567,0.0002565308,0.0000016388685],"about_ca_topic_score_codex":0.023148477,"about_ca_topic_score_gemma":0.026922695,"teacher_disagreement_score":0.023148477,"about_ca_system_score_codex":0.0011130181,"about_ca_system_score_gemma":0.0017872144,"threshold_uncertainty_score":0.04602748},"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":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022272978,0.054151833,0.63623637,0.074574575,0.0056142192,0.00011402535,0.00027930207,0.0008070925,0.22599527],"genre_scores_gemma":[0.08798059,0.12215212,0.65215755,0.013920091,0.00665673,0.0004338747,0.00046670018,0.0027365999,0.113495804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925736,0.0023176402,0.00025117912,0.0003616169,0.0043140925,0.00018178334],"domain_scores_gemma":[0.9881654,0.008102417,0.00031899518,0.0014822147,0.0016733994,0.00025754227],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009662881,0.0019643444,0.0019352474,0.0025281769,0.0011687273,0.01205914,0.0030461068,0.0033615287,0.009320918],"category_scores_gemma":[0.01405111,0.00091792934,0.0014526042,0.004189954,0.007839386,0.01761098,0.004199966,0.01064358,0.0032271652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044837016,0.000027559461,0.00006197314,0.00020105415,0.000025003977,0.00001381076,0.00009249466,0.0052652615,0.00035491635,0.9069797,0.025221143,0.061752543],"study_design_scores_gemma":[0.0000023988491,0.00000681105,0.000060252874,0.0001697255,0.000009977794,0.000026933574,0.00007958926,0.0045866356,0.00047381513,0.8507082,0.14385849,0.000017151167],"about_ca_topic_score_codex":0.0015910426,"about_ca_topic_score_gemma":0.0035051117,"teacher_disagreement_score":0.99033713,"about_ca_system_score_codex":0.0034984197,"about_ca_system_score_gemma":0.0048930827,"threshold_uncertainty_score":0.051102817},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.877269,0.00034219836,0.05048369,0.00081162935,0.00011779099,0.00018264352,0.0018840118,0.0010186842,0.06789037],"genre_scores_gemma":[0.9734143,0.00014487293,0.006391762,0.00007194337,0.000010419328,0.000086636705,0.0005129342,0.00008030211,0.019286776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999897,0.000021326583,0.000003550494,0.000022413462,0.000026500009,0.000029255561],"domain_scores_gemma":[0.9997737,0.00012884235,0.000015044052,0.000010839958,0.00004363765,0.000028020027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018462994,0.0006113493,0.0009057429,0.0003650676,0.00095395703,0.00094311906,0.0012123418,0.0017832154,0.0071856803],"category_scores_gemma":[0.00042750814,0.00049758214,0.0009608109,0.00035512258,0.0005984948,0.00057507027,0.0005754264,0.0007538627,0.00055255555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039548457,0.000037545706,0.00040547276,0.000016448543,0.0000060446264,0.00006286416,0.000019490126,0.9968041,0.0008155486,0.00041587124,0.00025964712,0.0011173958],"study_design_scores_gemma":[0.000010051724,0.000020098836,0.00020882659,0.0000015649294,0.0000030579986,0.000005358618,0.000017932025,0.99894613,0.00039739758,0.0001381579,0.00024855454,0.0000028873965],"about_ca_topic_score_codex":0.071497776,"about_ca_topic_score_gemma":0.037766412,"teacher_disagreement_score":0.071497776,"about_ca_system_score_codex":0.0015785821,"about_ca_system_score_gemma":0.0017551456,"threshold_uncertainty_score":0.14216322},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018088859,0.0018652463,0.9629775,0.00063248165,0.000065042084,0.00004998367,0.000121464436,0.00017311027,0.016026368],"genre_scores_gemma":[0.7496226,0.008249064,0.21441932,0.00027542442,0.00054487615,0.0002580766,0.00069274084,0.0003942145,0.025543733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904186,0.00026043213,0.00004794762,0.00014061095,0.00040156386,0.00010748759],"domain_scores_gemma":[0.99856323,0.0009988354,0.00013882396,0.00008758815,0.000168333,0.00004329474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253495,0.0016807587,0.00082795444,0.001382351,0.00042703527,0.00226677,0.001302694,0.00085187564,0.004549613],"category_scores_gemma":[0.0027079221,0.00069718214,0.0019168458,0.0016104287,0.0013541139,0.0025559743,0.0010299624,0.00207408,0.0004618002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007614248,0.00011970363,0.0010112765,0.00032844572,0.00014817515,0.00015091388,0.0001430546,0.70263124,0.006006364,0.18471245,0.0022488944,0.10242331],"study_design_scores_gemma":[0.0000047436306,0.000033860342,0.00042376178,0.000043805543,0.000024176383,0.000029404493,0.000042995238,0.75083005,0.0012534298,0.24445008,0.0028478103,0.00001589688],"about_ca_topic_score_codex":0.0058328807,"about_ca_topic_score_gemma":0.0029813615,"teacher_disagreement_score":0.0058328807,"about_ca_system_score_codex":0.0017117148,"about_ca_system_score_gemma":0.0014274463,"threshold_uncertainty_score":0.015219986},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03540499,0.0043182187,0.18954271,0.013232545,0.00033267087,0.0001041763,0.00016368397,0.00068502617,0.756216],"genre_scores_gemma":[0.81933224,0.0055004046,0.08630432,0.00093368447,0.00027920603,0.00022280973,0.00020604448,0.0001725154,0.0870487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994103,0.00017713607,0.000018436062,0.0000800078,0.00019095324,0.00012315212],"domain_scores_gemma":[0.9980026,0.0011201516,0.00005991393,0.0003965426,0.00022541285,0.00019530549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012635684,0.00041828002,0.00040075718,0.0008577548,0.0009826842,0.0033640217,0.0013394998,0.001095115,0.025033282],"category_scores_gemma":[0.0043915967,0.00034543575,0.00045729152,0.0009055565,0.0037026887,0.011305239,0.004925347,0.002175206,0.0034757378],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013984659,0.000050828723,0.00015652034,0.00009229426,0.000007369623,0.000025716623,0.0003177168,0.0045914673,0.00085018616,0.9239812,0.005368197,0.064544655],"study_design_scores_gemma":[0.0000070096407,0.000017908573,0.00015563979,0.00010975521,0.000005501804,0.000028073775,0.00020545452,0.0107158255,0.0016777164,0.93824834,0.048818756,0.0000100104035],"about_ca_topic_score_codex":0.0021857615,"about_ca_topic_score_gemma":0.0018072778,"teacher_disagreement_score":0.025033282,"about_ca_system_score_codex":0.0020735522,"about_ca_system_score_gemma":0.0028991906,"threshold_uncertainty_score":0.083744705},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.128994,0.0043161144,0.8383977,0.00020737242,0.00014599493,0.0006197093,0.0010997687,0.0013871839,0.02483217],"genre_scores_gemma":[0.28285944,0.0061571705,0.67196244,0.0001471183,0.000034159493,0.0008414706,0.0024902641,0.00046664564,0.035041273],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998134,0.000015810805,0.000012487662,0.000043510063,0.00008965618,0.000025140778],"domain_scores_gemma":[0.999962,0.000009485464,0.000005224511,0.0000047150393,0.00001555455,0.0000030913727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026802963,0.0006091502,0.00047841994,0.0002639118,0.00032386012,0.00067475846,0.0006877024,0.00038807184,0.0019734644],"category_scores_gemma":[0.000152137,0.00033751302,0.0005468498,0.0004984242,0.00019963068,0.0005436398,0.0003426686,0.0006816432,0.001192183],"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":[0.00019300106,0.00013081667,0.00014284103,0.00068403874,0.000022682418,0.00013222004,0.00009276061,0.02975339,0.85728705,0.0064871577,0.001112819,0.10396119],"study_design_scores_gemma":[0.000038935035,0.0004960807,0.00028572258,0.000027103793,0.000046143727,0.00017438692,0.000042751086,0.047735438,0.9172648,0.002160629,0.031707644,0.00002038983],"about_ca_topic_score_codex":0.0009610791,"about_ca_topic_score_gemma":0.002241926,"teacher_disagreement_score":0.0019734644,"about_ca_system_score_codex":0.0004536088,"about_ca_system_score_gemma":0.00084173755,"threshold_uncertainty_score":0.00660187},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016435137,0.0018767639,0.9968341,0.0000765005,0.00006778253,0.000013324814,0.00012351222,0.00036107394,0.0004826211],"genre_scores_gemma":[0.0238325,0.0061102267,0.96138144,0.00015831854,0.00024696498,0.00040985167,0.0011303112,0.00032684713,0.0064034536],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832886,0.0007837911,0.000104015286,0.00025730432,0.00048477334,0.00004124961],"domain_scores_gemma":[0.9972602,0.001985745,0.00008420852,0.00036952627,0.00027667213,0.000023632127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022435724,0.0014929026,0.0015708901,0.0008631866,0.00031777864,0.001496322,0.002099749,0.0010681959,0.006250428],"category_scores_gemma":[0.005485493,0.00076575734,0.001284201,0.0022166332,0.00094026764,0.0019118375,0.0011416015,0.0026647258,0.003330011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009048899,0.0001136947,0.0005025002,0.00095547497,0.00024731297,0.000053413052,0.00013718371,0.057619903,0.0030698567,0.16193627,0.023625612,0.7516483],"study_design_scores_gemma":[0.000046298308,0.000051333103,0.00080088584,0.00014290099,0.00008885618,0.00013641431,0.000046320783,0.6233394,0.0038552831,0.32602206,0.04541094,0.000059226095],"about_ca_topic_score_codex":0.0020072286,"about_ca_topic_score_gemma":0.002412097,"teacher_disagreement_score":0.006250428,"about_ca_system_score_codex":0.0006449045,"about_ca_system_score_gemma":0.00082442636,"threshold_uncertainty_score":0.020909786},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013928536,0.0005766223,0.99394554,0.00008923955,0.00005569544,0.000010711487,0.000040797426,0.00021550513,0.0036731202],"genre_scores_gemma":[0.32895404,0.0037567343,0.6256202,0.00023717919,0.00025876513,0.00039421723,0.00071154506,0.0005722452,0.039495107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965644,0.00014494966,0.000013754485,0.00003752717,0.00013404027,0.000013310063],"domain_scores_gemma":[0.9995919,0.0002505966,0.00003227526,0.000046638525,0.00006845392,0.000010228245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005705275,0.00069360744,0.0009030122,0.00024367016,0.00018428925,0.00079800264,0.00085561123,0.001033025,0.0024978516],"category_scores_gemma":[0.0013080144,0.0004052561,0.0006973213,0.00063745945,0.00040590815,0.00067773013,0.00069727516,0.0013089778,0.0012567753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030544845,0.00003104782,0.00007573517,0.00013305811,0.000029563551,0.00002136547,0.000023711002,0.9205249,0.003926136,0.023730975,0.0023308664,0.049142115],"study_design_scores_gemma":[0.0000014562064,0.0000066932616,0.000020047457,0.0000042447614,0.0000017591218,0.0000051824113,0.0000014686273,0.9932541,0.00048197506,0.004821693,0.0013989524,0.0000024679744],"about_ca_topic_score_codex":0.00075336004,"about_ca_topic_score_gemma":0.00083385187,"teacher_disagreement_score":0.0024978516,"about_ca_system_score_codex":0.00034798382,"about_ca_system_score_gemma":0.00045371347,"threshold_uncertainty_score":0.008356154},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045000255,0.0006121079,0.9193164,0.0002908368,0.00010731405,0.00005494694,0.00022347215,0.00034247612,0.034052126],"genre_scores_gemma":[0.9219048,0.00053955993,0.049932383,0.000074114,0.000047692454,0.00014915319,0.00031005277,0.00014742113,0.026894795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984443,0.00006796636,0.0000061462797,0.000016633996,0.000051795803,0.000012947036],"domain_scores_gemma":[0.99974185,0.00016478379,0.000021650518,0.000017297913,0.000043601023,0.000010740396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037165833,0.00045319932,0.0008384019,0.00023039358,0.00024688142,0.0009454511,0.0005660073,0.0011331636,0.0034808528],"category_scores_gemma":[0.0008069901,0.00036268306,0.0006836095,0.0003873489,0.00040114514,0.00067475904,0.00055370433,0.0007595236,0.000505446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002517567,0.000008270186,0.00003512103,0.000017275006,0.0000065483723,0.00001734685,0.0000072468047,0.9927533,0.000654404,0.003207588,0.00015310843,0.0031145804],"study_design_scores_gemma":[0.0000019621311,0.0000075699404,0.000018169441,0.0000017187813,0.0000010959988,0.0000029315995,0.0000011508733,0.9988146,0.00012498452,0.0008291885,0.00019527973,0.0000013884353],"about_ca_topic_score_codex":0.0018127632,"about_ca_topic_score_gemma":0.0015269425,"teacher_disagreement_score":0.0034808528,"about_ca_system_score_codex":0.0003420884,"about_ca_system_score_gemma":0.00044885866,"threshold_uncertainty_score":0.011644602},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007095609,0.041056078,0.013430069,0.072066456,0.003781211,0.000028017746,0.00008643358,0.00014869025,0.86230737],"genre_scores_gemma":[0.32627672,0.07283316,0.015754739,0.018395318,0.0038435797,0.000065224485,0.00016323806,0.00020092088,0.56246716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9996772,0.00011506497,0.000008259638,0.000032279768,0.000102418424,0.000064844215],"domain_scores_gemma":[0.9986344,0.0009363455,0.000058276262,0.0000806282,0.00015901326,0.00013123169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013387608,0.00032734423,0.00028137284,0.0006790053,0.000798999,0.0058434554,0.000691618,0.0017318875,0.021500476],"category_scores_gemma":[0.002612086,0.0002011236,0.00021992066,0.0011642632,0.0028194163,0.008951625,0.0010228915,0.0016990345,0.0060323384],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026008533,0.00006369779,0.00043268135,0.00030110189,0.000008838793,0.00009235232,0.00062814186,0.00038617203,0.0004445879,0.75956744,0.07448181,0.1635672],"study_design_scores_gemma":[0.000006263563,0.000020095385,0.00066326704,0.00031135074,0.000007300923,0.0001196347,0.001112733,0.00049355155,0.0005763242,0.33615914,0.6605206,0.000009779801],"about_ca_topic_score_codex":0.0017610488,"about_ca_topic_score_gemma":0.0037968592,"teacher_disagreement_score":0.021500476,"about_ca_system_score_codex":0.001212954,"about_ca_system_score_gemma":0.0018249257,"threshold_uncertainty_score":0.071926236},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012580817,0.010939935,0.12614554,0.006475343,0.0016329442,0.00012163548,0.00023688517,0.00089090574,0.84097594],"genre_scores_gemma":[0.17026094,0.028548984,0.08888001,0.0014282486,0.0005633175,0.000118766664,0.00041617115,0.00043696797,0.7093466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991655,0.000012257045,0.0000024554006,0.000010841807,0.000049788865,0.000008039578],"domain_scores_gemma":[0.9999739,0.000006547048,0.0000019489764,0.000003067662,0.0000105539475,0.0000039194033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120574085,0.00037070486,0.00016008235,0.00022751099,0.00034964536,0.0014085391,0.00038471856,0.0007066547,0.006057628],"category_scores_gemma":[0.00010634223,0.00021286908,0.00023359888,0.0007253924,0.00046148134,0.0016748935,0.00045457628,0.00068784395,0.0017346191],"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":[0.000025233929,0.00007291729,0.0005590426,0.000218873,0.000015799455,0.00021992011,0.00026618087,0.042443294,0.004757778,0.52216214,0.15347247,0.27578643],"study_design_scores_gemma":[0.0000062415456,0.00003691839,0.00082826865,0.00012099039,0.000012326292,0.00022272795,0.00026653637,0.034177642,0.0022492537,0.14326663,0.8187972,0.000015196195],"about_ca_topic_score_codex":0.0046385555,"about_ca_topic_score_gemma":0.012842644,"teacher_disagreement_score":0.006057628,"about_ca_system_score_codex":0.0010007242,"about_ca_system_score_gemma":0.0017399928,"threshold_uncertainty_score":0.020264745},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90938044,0.00039765256,0.018278325,0.0001485067,0.000052626976,0.0003052057,0.0026408227,0.00067769765,0.06811876],"genre_scores_gemma":[0.9436069,0.00052610284,0.032086663,0.00004253704,0.00000848689,0.00021248896,0.0026461217,0.00012254366,0.020748142],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996282,0.000099392535,0.000010893978,0.00003811615,0.00017523416,0.00004812354],"domain_scores_gemma":[0.9997008,0.00015586618,0.000017657445,0.000022645683,0.00008201383,0.000021117703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060446217,0.00040999483,0.00025662594,0.00085152214,0.0002354398,0.0008019651,0.00046865788,0.0003673585,0.005150321],"category_scores_gemma":[0.00061382574,0.00014864319,0.0004476473,0.0009001486,0.00019613514,0.0009736662,0.0005967714,0.0002450611,0.0005611754],"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":[0.0033475927,0.0015321925,0.013550861,0.00068401656,0.00013749154,0.0003619733,0.00019522414,0.3859291,0.09626192,0.013792704,0.010312663,0.4738942],"study_design_scores_gemma":[0.000503298,0.0051450473,0.036787868,0.00011794601,0.00034920202,0.00015166032,0.0009795041,0.6875829,0.23092408,0.006441637,0.030894862,0.0001219334],"about_ca_topic_score_codex":0.014243707,"about_ca_topic_score_gemma":0.021285364,"teacher_disagreement_score":0.014243707,"about_ca_system_score_codex":0.0013939834,"about_ca_system_score_gemma":0.0012923903,"threshold_uncertainty_score":0.028321624},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107137084,0.004822451,0.8687357,0.0011225281,0.00019325718,0.00019711675,0.0023118344,0.004064502,0.011415573],"genre_scores_gemma":[0.60623705,0.0071975393,0.374194,0.00035702737,0.00005484332,0.00028534743,0.0020123597,0.0010215362,0.008640285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995708,0.00009634289,0.000015384241,0.00006948509,0.0002218152,0.00002611784],"domain_scores_gemma":[0.99868673,0.00078048813,0.00007246866,0.00013291898,0.0003088856,0.000018411809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013775377,0.00065702404,0.000963556,0.00038405327,0.00024445134,0.0020372672,0.0015993933,0.0010244177,0.002120646],"category_scores_gemma":[0.003790903,0.0005594,0.00057896407,0.0005253942,0.00037424202,0.0021487419,0.0005028153,0.00073267124,0.0015994118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006845126,0.00020772984,0.0032318842,0.0011546387,0.00013959335,0.00008784475,0.000106718966,0.6622359,0.06445093,0.012833572,0.006182711,0.24868399],"study_design_scores_gemma":[0.000015046731,0.000055197925,0.00042639134,0.000022998118,0.000018855739,0.00003647518,0.00002051414,0.97311336,0.021727813,0.002148216,0.0023913686,0.000023715349],"about_ca_topic_score_codex":0.0061861495,"about_ca_topic_score_gemma":0.0065343757,"teacher_disagreement_score":0.0061861495,"about_ca_system_score_codex":0.00088621775,"about_ca_system_score_gemma":0.00129023,"threshold_uncertainty_score":0.0123003125},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18363425,0.0012991584,0.65919614,0.00096162444,0.00030518856,0.0001393151,0.0002591803,0.00068499893,0.15352015],"genre_scores_gemma":[0.93201464,0.000548127,0.0422725,0.000061180384,0.000033329183,0.000054863503,0.0000719257,0.000052541433,0.024890935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998642,0.000027191501,0.000004590448,0.0000261834,0.000053940163,0.000023719447],"domain_scores_gemma":[0.99996793,0.000010790901,0.0000034859754,0.0000035247738,0.000010871625,0.0000034516968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012959918,0.00040495256,0.00040322237,0.00021050578,0.0003524719,0.00082264584,0.00041265687,0.00042604885,0.002504166],"category_scores_gemma":[0.00016735663,0.00027995303,0.00026407238,0.00029040631,0.0002980897,0.0006661133,0.00032966834,0.00035492596,0.00034360614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021441805,0.00008682998,0.0006718362,0.00008242479,0.0000326904,0.00014867721,0.000050500235,0.827654,0.024419924,0.029577088,0.0043512774,0.11271023],"study_design_scores_gemma":[0.000012489048,0.00008115119,0.00051357684,0.000008370872,0.000014517701,0.000029891346,0.000046746405,0.9759268,0.0058052815,0.012691241,0.0048596454,0.000010304532],"about_ca_topic_score_codex":0.0044891494,"about_ca_topic_score_gemma":0.0099701,"teacher_disagreement_score":0.0044891494,"about_ca_system_score_codex":0.0008047233,"about_ca_system_score_gemma":0.0010603004,"threshold_uncertainty_score":0.008926034},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031970907,0.0041846596,0.901385,0.0027571998,0.00021591302,0.00005211276,0.0011993555,0.00050696585,0.05772787],"genre_scores_gemma":[0.78385425,0.004735577,0.15435062,0.00046761875,0.00027232396,0.0004017953,0.0017578944,0.000752417,0.05340756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980384,0.000096616386,0.000008581843,0.000035734465,0.00003492512,0.00002031759],"domain_scores_gemma":[0.9994863,0.00037091738,0.000039989456,0.000047539765,0.000034748078,0.000020411879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054850534,0.001360952,0.0012106864,0.00048551665,0.0004415797,0.0010865068,0.001476615,0.0016660533,0.007913384],"category_scores_gemma":[0.0019778758,0.0005894312,0.0013953468,0.0007720576,0.0012810463,0.001800866,0.0012046678,0.0021627324,0.00068036857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013788694,0.0000100686275,0.000071788316,0.00004589232,0.0000215329,0.00002120685,0.000033298023,0.7659726,0.00022917228,0.22670886,0.0018785801,0.004993225],"study_design_scores_gemma":[0.000007907502,0.0000064182536,0.000059027243,0.000007990846,0.00000771068,0.0000064002775,0.000008232537,0.67517143,0.00006608412,0.32247186,0.0021809987,0.000006046274],"about_ca_topic_score_codex":0.006877483,"about_ca_topic_score_gemma":0.0064534205,"teacher_disagreement_score":0.007913384,"about_ca_system_score_codex":0.0020217118,"about_ca_system_score_gemma":0.00068085274,"threshold_uncertainty_score":0.026472867},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016639025,0.004124269,0.98185295,0.00013791348,0.0002497388,0.000015971817,0.00003924942,0.00038721386,0.011528809],"genre_scores_gemma":[0.22364199,0.013330532,0.6497118,0.00034425675,0.0009857654,0.00021215578,0.00038655437,0.00064158865,0.11074535],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976295,0.000059033333,0.00001240892,0.00004736654,0.00010838152,0.000009944903],"domain_scores_gemma":[0.99975616,0.00017270395,0.000010592179,0.000027358928,0.000029892819,0.0000032402254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039659275,0.0008304929,0.00078172615,0.00024272296,0.00018673857,0.0008840329,0.00070948986,0.00082621706,0.004012658],"category_scores_gemma":[0.0010323175,0.00043007615,0.00039411098,0.0006597755,0.0005924312,0.0013156057,0.0005442213,0.0012075325,0.0019017978],"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":[0.000093327966,0.00005968735,0.00016450405,0.00033701927,0.00004472948,0.00009935477,0.00007040393,0.44656223,0.0069575664,0.051908635,0.012437382,0.48126513],"study_design_scores_gemma":[0.000005252446,0.000034642748,0.0002057747,0.000037861133,0.000010711894,0.000061533035,0.000008094449,0.9562554,0.0026663467,0.026469456,0.014230189,0.000014658286],"about_ca_topic_score_codex":0.0012906805,"about_ca_topic_score_gemma":0.001457247,"teacher_disagreement_score":0.004012658,"about_ca_system_score_codex":0.00023185767,"about_ca_system_score_gemma":0.00023330553,"threshold_uncertainty_score":0.013423622},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00079244614,0.00014598531,0.9979233,0.000030711482,0.000023591705,0.000010814821,0.000012028706,0.00010336038,0.0009578285],"genre_scores_gemma":[0.32727003,0.00086631195,0.65855443,0.00012946888,0.00015271276,0.0004350896,0.00026035996,0.0005432695,0.011788365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909437,0.00037291236,0.000036584486,0.00013348412,0.00030965774,0.000053081836],"domain_scores_gemma":[0.9982014,0.0010849024,0.000097335535,0.000129821,0.00042850513,0.000057995847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002241606,0.0015218989,0.0017804286,0.00041420278,0.00038277125,0.0014899933,0.0021437062,0.0016320499,0.0029336573],"category_scores_gemma":[0.00417342,0.00064870855,0.0011807965,0.00054691755,0.0013512869,0.0013435917,0.0020532042,0.003136966,0.00091576914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009277167,0.00003694008,0.00008559463,0.00017687563,0.00004683119,0.00005318829,0.000067375964,0.91979355,0.0024985904,0.04169533,0.001917579,0.033535328],"study_design_scores_gemma":[0.0000022183556,0.00001509168,0.000008666555,0.000003341315,0.0000028652867,0.0000049525893,0.0000018812777,0.99661463,0.00027365045,0.0027146975,0.00035518137,0.0000026774276],"about_ca_topic_score_codex":0.003811321,"about_ca_topic_score_gemma":0.002358497,"teacher_disagreement_score":0.003811321,"about_ca_system_score_codex":0.0010500356,"about_ca_system_score_gemma":0.0013699437,"threshold_uncertainty_score":0.011854887},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027811583,0.0025105372,0.76699716,0.0025292467,0.0006651275,0.00007461648,0.00034407544,0.00065704127,0.22344108],"genre_scores_gemma":[0.1167811,0.0035002558,0.7423287,0.0021831894,0.0008700446,0.00039517618,0.0008010996,0.0008120046,0.13232839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999113,0.00023676519,0.000040377432,0.0002184012,0.0003084348,0.00008299208],"domain_scores_gemma":[0.9992125,0.0004903533,0.000036145026,0.00008739022,0.00013542916,0.000038240123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105206,0.0007021443,0.0007215559,0.0005851209,0.0008802804,0.0018582129,0.0011642433,0.0008954215,0.030635448],"category_scores_gemma":[0.0026580973,0.00053058943,0.0006953497,0.0013114486,0.0012941974,0.003061786,0.0015349303,0.0032702256,0.0062327734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038017566,0.00003495162,0.000065972614,0.00021262067,0.000009023258,0.000039515355,0.00008787407,0.0043424284,0.0010799653,0.80256796,0.017807996,0.1737137],"study_design_scores_gemma":[0.000011627088,0.000018184312,0.000068751215,0.000060533843,0.000007864423,0.00009898182,0.000044347693,0.023583543,0.0011462689,0.87999505,0.09495631,0.000008548759],"about_ca_topic_score_codex":0.0015377648,"about_ca_topic_score_gemma":0.0020262038,"teacher_disagreement_score":0.030635448,"about_ca_system_score_codex":0.0009904829,"about_ca_system_score_gemma":0.00088682637,"threshold_uncertainty_score":0.102485776},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051676957,0.00021321229,0.9933476,0.00006366378,0.000025125459,0.0000065828194,0.00004201503,0.00023055307,0.0009034992],"genre_scores_gemma":[0.49518037,0.0009101846,0.49067655,0.000092533824,0.00011011502,0.00006518352,0.00048843975,0.00021535296,0.01226133],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967265,0.00007595438,0.000014272248,0.00008310028,0.0001331892,0.000020815907],"domain_scores_gemma":[0.9992606,0.0005446513,0.0000470692,0.00007217597,0.00006502844,0.000010419336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049500936,0.00046430575,0.00052017235,0.00040189747,0.00014805529,0.0008161923,0.00058864214,0.00039955936,0.0023194035],"category_scores_gemma":[0.0018765418,0.00028481786,0.00058632094,0.00047371502,0.00072450156,0.0012867207,0.0006199725,0.0012412813,0.0005659142],"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":[0.00029804232,0.000090571506,0.0016277595,0.00021856447,0.00011515945,0.00010399663,0.00014631063,0.33456957,0.0217616,0.13578215,0.0031169667,0.5021694],"study_design_scores_gemma":[0.0000046014397,0.00004661658,0.000738861,0.000006389246,0.000008006072,0.000051311796,0.0000137322395,0.94825876,0.003887565,0.04590997,0.0010648601,0.000009280877],"about_ca_topic_score_codex":0.0014112425,"about_ca_topic_score_gemma":0.0015444519,"teacher_disagreement_score":0.0023194035,"about_ca_system_score_codex":0.00043467068,"about_ca_system_score_gemma":0.00033955046,"threshold_uncertainty_score":0.007759154},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05986819,0.011272397,0.9000945,0.00035360994,0.00032001565,0.00013297496,0.00026833723,0.002403322,0.025286695],"genre_scores_gemma":[0.49983972,0.0070311576,0.44220263,0.00020630886,0.00013498116,0.00030537642,0.000637287,0.00026932394,0.04937328],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986565,0.000012857977,0.0000056589697,0.000032237953,0.00007111432,0.00001244993],"domain_scores_gemma":[0.99993813,0.000028818322,0.000005422688,0.00000970971,0.000015415057,0.00000256396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018713535,0.00059068034,0.0005330124,0.00031733236,0.00021243942,0.0005673327,0.000791199,0.00060359406,0.0030136867],"category_scores_gemma":[0.00019591121,0.00035043777,0.0005310089,0.0006143487,0.00018523318,0.00077660155,0.0004664426,0.0009397544,0.0013410393],"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":[0.000121220655,0.00020538546,0.00032027028,0.0005018691,0.0000717249,0.00008547772,0.00003423855,0.12923892,0.25287408,0.005049185,0.0037687775,0.60772896],"study_design_scores_gemma":[0.000016581547,0.00018538612,0.00073099637,0.000036416233,0.000035000045,0.00008797969,0.0000130928875,0.7939048,0.18357861,0.0044927965,0.01689069,0.00002764589],"about_ca_topic_score_codex":0.00072990876,"about_ca_topic_score_gemma":0.0017238286,"teacher_disagreement_score":0.0030136867,"about_ca_system_score_codex":0.00043046824,"about_ca_system_score_gemma":0.00018511715,"threshold_uncertainty_score":0.010081828},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042653074,0.00012826447,0.9899458,0.000030523905,0.000039388582,0.00003674012,0.00001367952,0.00059709157,0.004943108],"genre_scores_gemma":[0.47199497,0.00034202824,0.51579046,0.00012810875,0.000039014554,0.000312735,0.00011539463,0.00024734018,0.011030028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998776,0.000014796372,0.0000067995543,0.00003158851,0.000054320208,0.000014868087],"domain_scores_gemma":[0.9997826,0.00011207352,0.000018217741,0.000026931422,0.00005248919,0.000007730477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040895827,0.000783494,0.00047811767,0.00017592295,0.00020079364,0.00063327147,0.0009143148,0.0006621567,0.003316616],"category_scores_gemma":[0.0007670906,0.00045130073,0.000561027,0.00015569883,0.0003586096,0.00052241125,0.00082849077,0.0012255978,0.0009810032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004863888,0.000062062645,0.00016396644,0.0001872602,0.000053462583,0.0000844473,0.00006798395,0.8187069,0.024223747,0.010756106,0.0012416005,0.14440379],"study_design_scores_gemma":[0.000006069682,0.000026422458,0.000029374938,0.0000053048657,0.00000524824,0.00001540234,0.0000029543744,0.99488705,0.0027530906,0.0013812518,0.0008850572,0.000002778328],"about_ca_topic_score_codex":0.0020698376,"about_ca_topic_score_gemma":0.002753829,"teacher_disagreement_score":0.003316616,"about_ca_system_score_codex":0.00033299832,"about_ca_system_score_gemma":0.00061410165,"threshold_uncertainty_score":0.011095166},"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":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5084563,0.00065061904,0.37174124,0.0008369306,0.0001933409,0.00020678555,0.001471784,0.0013603698,0.11508269],"genre_scores_gemma":[0.9355287,0.00028986615,0.04847764,0.00009033326,0.000023106892,0.00023412058,0.00038215052,0.00026288637,0.014711159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999126,0.000016807995,0.0000036285312,0.00001695739,0.00003183616,0.000018185565],"domain_scores_gemma":[0.9997199,0.00020398795,0.000018082164,0.000014017539,0.000029127927,0.000014917666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022457111,0.00046054684,0.0008013273,0.00029687386,0.00057870446,0.00089854107,0.0010208426,0.0012488533,0.006964907],"category_scores_gemma":[0.0007162921,0.00058756955,0.00073197234,0.00069327635,0.0006019455,0.00061051844,0.0005023264,0.0007061906,0.00043874476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024810515,0.00001703513,0.00012018899,0.000022532611,0.0000050916633,0.000021120366,0.0000117638,0.9954835,0.0007863657,0.0009502049,0.00022281389,0.0023345097],"study_design_scores_gemma":[0.000005253346,0.000007676402,0.00006280951,0.0000011402035,0.0000017387089,0.000004140761,0.0000054823745,0.9991721,0.00028432178,0.00022797428,0.00022493828,0.0000023795812],"about_ca_topic_score_codex":0.018206954,"about_ca_topic_score_gemma":0.016069915,"teacher_disagreement_score":0.018206954,"about_ca_system_score_codex":0.0008663615,"about_ca_system_score_gemma":0.0013173022,"threshold_uncertainty_score":0.036201954},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37993836,0.0017121513,0.6003023,0.0002532187,0.00022489755,0.00039285273,0.00041858456,0.0019626038,0.014795101],"genre_scores_gemma":[0.6675849,0.0015654132,0.31206086,0.0000980404,0.000032646007,0.00023491858,0.00037929992,0.00011596797,0.017928073],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992263,0.0000040269556,0.0000039428132,0.000027842707,0.00003043327,0.00001115202],"domain_scores_gemma":[0.9999777,0.000003961858,0.0000054881343,0.000001759102,0.000007912552,0.0000032581836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011408007,0.00043765013,0.0005139124,0.00016114626,0.00043875084,0.0006599133,0.0006457314,0.0005470745,0.0012894407],"category_scores_gemma":[0.00007498403,0.00031678373,0.00046523323,0.00021968153,0.0001593571,0.0004721867,0.00023334312,0.00037923537,0.0005464054],"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":[0.00015003899,0.00010138242,0.00010680642,0.00021558274,0.00002398301,0.000106981766,0.00002680568,0.008741087,0.9666658,0.002033105,0.00027476673,0.021553641],"study_design_scores_gemma":[0.00006475711,0.0008973472,0.0009397547,0.0000131200195,0.00010946982,0.00028797067,0.000026533262,0.12702149,0.8554056,0.00061462686,0.014587097,0.00003207685],"about_ca_topic_score_codex":0.0011523976,"about_ca_topic_score_gemma":0.0029159165,"teacher_disagreement_score":0.0012894407,"about_ca_system_score_codex":0.00038093512,"about_ca_system_score_gemma":0.00070665806,"threshold_uncertainty_score":0.004313588},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03954881,0.00047629644,0.9424561,0.00017534167,0.0001226225,0.000060334267,0.00002908243,0.0008772671,0.016254133],"genre_scores_gemma":[0.937993,0.00014247248,0.054153495,0.00008739603,0.000022551578,0.000043819186,0.00002225713,0.000033074495,0.0075019244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999294,0.000011429437,0.00000425559,0.000017545144,0.000024149736,0.000013054694],"domain_scores_gemma":[0.9999132,0.000029477033,0.000010689587,0.000008332318,0.000031162737,0.0000071747604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024316236,0.00040952215,0.00036450822,0.00013742184,0.00027966546,0.0004179458,0.0007008637,0.0005359335,0.003013429],"category_scores_gemma":[0.00027506033,0.00015963968,0.00020759074,0.000114130875,0.00025817152,0.00024543874,0.0003667257,0.0005369019,0.0003772574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020789477,0.000111864116,0.00046848133,0.00012381544,0.000044129443,0.00013581708,0.00007201657,0.6548673,0.034053862,0.0058557712,0.0025227366,0.30153632],"study_design_scores_gemma":[0.000006634031,0.00006021624,0.000116290656,0.000005376051,0.0000062531467,0.000016768794,0.000003067783,0.9968141,0.0017205202,0.0005875862,0.00065948366,0.000003686054],"about_ca_topic_score_codex":0.0058434913,"about_ca_topic_score_gemma":0.0062068193,"teacher_disagreement_score":0.0058434913,"about_ca_system_score_codex":0.0004190207,"about_ca_system_score_gemma":0.00041485875,"threshold_uncertainty_score":0.011618972},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008036886,0.0010688873,0.96799624,0.00031904306,0.000105829626,0.000022162034,0.00024340756,0.00072390155,0.021483645],"genre_scores_gemma":[0.53748703,0.0020527733,0.41036305,0.00021984441,0.00017805157,0.0003186037,0.000970995,0.0006865498,0.047723178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998832,0.00003179284,0.000005151786,0.000020004314,0.000045596465,0.0000142555955],"domain_scores_gemma":[0.999718,0.00016189553,0.000019967905,0.00003049889,0.000049198705,0.000020330654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030374213,0.00059128413,0.000597928,0.00018287559,0.00028388636,0.0010104703,0.0010142989,0.0006304453,0.0069668926],"category_scores_gemma":[0.001067801,0.00037685878,0.00048427077,0.00027921813,0.00038301546,0.0010810951,0.0010843755,0.0011671208,0.0011441762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003869071,0.0000405232,0.00028225896,0.00011504704,0.000029401373,0.00007701085,0.000047749454,0.8419721,0.002899402,0.10128492,0.0073359567,0.045876857],"study_design_scores_gemma":[0.0000020275752,0.0000033454326,0.000021560416,0.000004759269,0.0000014457781,0.0000064069595,0.0000029169587,0.98693347,0.0002032677,0.011244897,0.0015744362,0.000001443476],"about_ca_topic_score_codex":0.0038756449,"about_ca_topic_score_gemma":0.005347584,"teacher_disagreement_score":0.0069668926,"about_ca_system_score_codex":0.0005398554,"about_ca_system_score_gemma":0.0006358124,"threshold_uncertainty_score":0.023306549},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006203534,0.0016375402,0.987068,0.00024990007,0.00011370771,0.000018755716,0.00010295566,0.0005307075,0.0040749684],"genre_scores_gemma":[0.50480187,0.002592968,0.45730352,0.00037310758,0.00036610602,0.00024411887,0.000684824,0.00032569445,0.03330773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998599,0.000032904652,0.000007427,0.000041828163,0.000045917353,0.000012072182],"domain_scores_gemma":[0.99970454,0.00019994249,0.000017534543,0.000027349115,0.000044618813,0.0000060573834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046488747,0.0006734976,0.00070642243,0.00026359042,0.00024498938,0.000549848,0.0012850766,0.0011384051,0.0026502474],"category_scores_gemma":[0.0014619506,0.00041560765,0.00043110107,0.00067005196,0.00045198374,0.000998891,0.00070145744,0.0018795345,0.00072353834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037472837,0.00002545356,0.00014236038,0.00005319771,0.000031727835,0.000030530355,0.000019344741,0.8856252,0.0018238019,0.015351714,0.002447446,0.0944118],"study_design_scores_gemma":[6.4988325e-7,0.0000017934511,0.000022556002,0.0000012711797,0.0000014282367,0.0000022058393,3.9305098e-7,0.99712247,0.00014038966,0.0024915938,0.00021414972,0.0000011240569],"about_ca_topic_score_codex":0.0072539025,"about_ca_topic_score_gemma":0.0073823244,"teacher_disagreement_score":0.0072539025,"about_ca_system_score_codex":0.0007673776,"about_ca_system_score_gemma":0.000574956,"threshold_uncertainty_score":0.01442337},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054741604,0.00028508806,0.99137306,0.000043681037,0.00003409577,0.000019926598,0.00003621524,0.0001712362,0.002562621],"genre_scores_gemma":[0.63579535,0.0011379272,0.3468658,0.0001017039,0.00008368449,0.00039821953,0.00030361293,0.0002626216,0.015051092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997527,0.00007079368,0.000016021504,0.000044718563,0.00009626269,0.000019471196],"domain_scores_gemma":[0.9997701,0.000114896146,0.000017481192,0.000017026481,0.00007308846,0.0000073730603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051234994,0.0005554283,0.0009887876,0.00029890105,0.0004460051,0.0007595974,0.0011193181,0.0009198542,0.0024221807],"category_scores_gemma":[0.0007544707,0.0003159597,0.0010584812,0.0004883175,0.0002852521,0.00067038625,0.00055775914,0.0006797574,0.0005369874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045629546,0.00002140822,0.00018100822,0.00013489016,0.000025314454,0.000044737008,0.00004823676,0.94281924,0.0046611056,0.0061325724,0.0003926437,0.04549318],"study_design_scores_gemma":[0.0000013527164,0.0000073356887,0.000025206802,0.0000020754799,0.0000033062267,0.000005620135,0.000002221549,0.99853575,0.00030217847,0.00067556533,0.0004374237,0.0000019520642],"about_ca_topic_score_codex":0.009052817,"about_ca_topic_score_gemma":0.0049362774,"teacher_disagreement_score":0.009052817,"about_ca_system_score_codex":0.00059663807,"about_ca_system_score_gemma":0.00078588567,"threshold_uncertainty_score":0.018000245},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.244297,0.05050238,0.63549143,0.00085103966,0.0005916613,0.00034794715,0.00037793518,0.0018228485,0.06571771],"genre_scores_gemma":[0.4823403,0.045421608,0.36900964,0.00030574575,0.00009143037,0.00020991864,0.00068992,0.00034810745,0.10158334],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999099,0.0000074800796,0.000005268151,0.00002341069,0.000043047312,0.0000109804705],"domain_scores_gemma":[0.99997866,0.000007418778,0.0000031288553,0.0000031851887,0.0000051141624,0.0000025381705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013153591,0.00065667444,0.00040495276,0.0003450755,0.00034625028,0.0007549724,0.0004386985,0.0005722484,0.0013729831],"category_scores_gemma":[0.00009218638,0.00040736533,0.00055043167,0.0005833021,0.00038684072,0.00046941367,0.00033279805,0.0008767312,0.00081543904],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003615151,0.00004585713,0.0001099358,0.00028467082,0.00001324852,0.00022616037,0.0001004041,0.0035514508,0.92286026,0.0046936544,0.00060424133,0.06747397],"study_design_scores_gemma":[0.000012496402,0.0002162718,0.00083052844,0.000068614754,0.000032847864,0.0006726225,0.000030274548,0.013034335,0.9290087,0.0034499527,0.052624743,0.000018464189],"about_ca_topic_score_codex":0.0008871268,"about_ca_topic_score_gemma":0.0013818528,"teacher_disagreement_score":0.0013729831,"about_ca_system_score_codex":0.0005607757,"about_ca_system_score_gemma":0.00031668256,"threshold_uncertainty_score":0.004593134},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0464338,0.0032897915,0.9378388,0.0016599966,0.00027352764,0.000040977233,0.0011480512,0.0006490432,0.00866604],"genre_scores_gemma":[0.8320877,0.003922486,0.1425889,0.00033353342,0.00048383308,0.0002046249,0.0020872208,0.00026993468,0.018021721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991725,0.00038062732,0.00003817949,0.0001617134,0.00016099539,0.00008587182],"domain_scores_gemma":[0.994576,0.0045254948,0.00018194328,0.00025692958,0.00037351498,0.00008612607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028313473,0.0011233006,0.0015362706,0.00092733285,0.00038463384,0.002126362,0.0031406542,0.0016566528,0.004734497],"category_scores_gemma":[0.0071064713,0.0006694162,0.0012513346,0.0017616886,0.00081018347,0.0031806733,0.0010772127,0.0019218606,0.00075445924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008051614,0.000024750329,0.00038531414,0.000056072422,0.00004643206,0.00004964265,0.000028595434,0.94695044,0.00009136378,0.029670583,0.001893161,0.020723121],"study_design_scores_gemma":[0.0000034069628,0.0000043478085,0.000049531776,0.000004846253,0.000006027757,0.0000050222593,0.000004174935,0.9813487,0.000031982923,0.01828412,0.0002540283,0.0000038355593],"about_ca_topic_score_codex":0.010956931,"about_ca_topic_score_gemma":0.008106572,"teacher_disagreement_score":0.010956931,"about_ca_system_score_codex":0.0014659886,"about_ca_system_score_gemma":0.0009559482,"threshold_uncertainty_score":0.021786332},"labels":[],"label_agreement":null}]}