{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":26,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":26,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"f87076b7d78f","filters":{"venue":"International Journal of Process Systems Engineering"}},"results":[{"id":"W1981266699","doi":"10.1504/ijpse.2011.041565","title":"Integration of hydrogen management in refinery planning with rigorous process models and product quality specifications","year":2011,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Refinery; Oil refinery; Engineering; Profit (economics); Process engineering; Waste management; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.06359019373683406,"gpt":0.2799385734786463,"spread":0.2163483797418123,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867916,0.0001465877,0.0002293423,0.0004993199,0.00001305103,0.0000360163,0.0002352158,0.00004246178,0.00000365292],"category_scores_gemma":[0.00003410242,0.0001248912,0.00002498813,0.0002444995,0.0000173345,0.0008075499,0.000009982509,0.000165074,3.324521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000863786,"about_ca_system_score_gemma":0.00002666792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454086,"about_ca_topic_score_gemma":0.000004094511,"domain_scores_codex":[0.9986581,0.00001321129,0.0007228911,0.0001250707,0.0003691562,0.0001115326],"domain_scores_gemma":[0.9990174,0.00001633047,0.000271187,0.00008729307,0.0005613487,0.0000464888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005940783,0.00004703474,0.0006467499,0.0003836997,0.0001312851,0.00001296233,0.003234958,0.9900622,0.001490277,0.003041735,0.000005552201,0.0008841059],"study_design_scores_gemma":[0.0009692039,0.00007909392,0.003381756,0.001888465,0.000039253,0.0002313209,0.00289712,0.967296,0.02226947,0.0005641919,0.00005248898,0.0003316267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5763412,0.001419626,0.4176908,0.00002167278,0.0003925675,0.0002667644,0.000007887998,0.00007811697,0.003781361],"genre_scores_gemma":[0.9950986,0.0001366818,0.004611242,0.000002805599,0.00007304801,0.00003051726,0.000006788006,0.00002427567,0.00001606911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4187574,"threshold_uncertainty_score":0.5092914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999603027","doi":"10.1504/ijpse.2011.041560","title":"Framework of pipeline integrity management","year":2011,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Integrity management; Pipeline (software); Process (computing); Engineering; Structural integrity; Computer science; Data integrity; Systems engineering; Risk analysis (engineering); Reliability engineering; Computer security; Mechanical engineering; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02581274584278094,"gpt":0.2722252716251284,"spread":0.2464125257823474,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002962208,0.0001423159,0.0002379389,0.0003665683,0.000006936211,0.00002014001,0.0005673075,0.00007399674,0.00001535896],"category_scores_gemma":[0.0001308516,0.0001358461,0.00007218104,0.0001465932,0.00001692737,0.0002309156,0.0000358026,0.0003552931,0.000001940147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166118,"about_ca_system_score_gemma":0.00001372574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000101358,"about_ca_topic_score_gemma":2.249797e-7,"domain_scores_codex":[0.9987596,0.000009102634,0.0006283896,0.00007722623,0.0003984013,0.0001272784],"domain_scores_gemma":[0.9990208,0.0000510165,0.0002169238,0.0001119307,0.0005437849,0.00005560107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003678443,0.0007039826,0.04702586,0.01073975,0.00557556,0.001602802,0.01098528,0.190035,0.03526096,0.6830302,0.002015015,0.01265763],"study_design_scores_gemma":[0.00465215,0.001013823,0.04079256,0.0485117,0.0006818501,0.00728704,0.00415897,0.2772907,0.263694,0.3452247,0.002674738,0.004017803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1477846,0.0005625113,0.8421595,0.000008576871,0.002585736,0.0001214621,0.000007236957,0.0002597682,0.006510638],"genre_scores_gemma":[0.7753257,0.00003661872,0.2244168,0.000001951969,0.0001822745,0.000006212711,5.090683e-7,0.00002668983,0.000003276675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6275411,"threshold_uncertainty_score":0.5539644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2306044605","doi":"10.1504/ijpse.2014.070085","title":"Cooperative autonomous control for active power sharing in multi-terminal VSC-HVDC","year":2014,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Voltage droop; AC power; Electric power system; Power (physics); Engineering; Control engineering; Terminal (telecommunication); Variety (cybernetics); Control (management); Power control; Computer science; Control theory (sociology); Power sharing; Voltage source; Voltage; Electrical engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01026456215227125,"gpt":0.2617589154138132,"spread":0.251494353261542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000482684,0.0001958063,0.0003665132,0.0003876668,0.00002499496,0.0001180631,0.0003373736,0.0001059043,0.000004396893],"category_scores_gemma":[0.0002012467,0.0001867397,0.0000941676,0.0001046792,0.000008613455,0.0004820147,0.00001277742,0.0002769517,0.000003299094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415218,"about_ca_system_score_gemma":0.00003374715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001828369,"about_ca_topic_score_gemma":0.00000692036,"domain_scores_codex":[0.99863,0.00001794232,0.0007111654,0.000148368,0.0002783625,0.0002141852],"domain_scores_gemma":[0.9990023,0.00009052323,0.0002065311,0.00007941754,0.0005416272,0.00007957593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006426065,0.00002996823,0.000383314,0.0002059825,0.0001945227,0.00002355369,0.0009490115,0.9899324,0.006712803,0.0005029355,0.00001130266,0.0009899875],"study_design_scores_gemma":[0.002355565,0.000112431,0.0009742622,0.0007415803,0.00001325223,0.0003501498,0.0003070145,0.9910322,0.00236891,0.00001704498,0.001501279,0.0002262621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2336889,0.0002817331,0.7618638,0.00002884448,0.003474498,0.000402327,0.00001791628,0.0000812436,0.0001608117],"genre_scores_gemma":[0.9986896,0.000004305095,0.0005561028,0.000007367202,0.0005536719,0.0001069113,0.000002274973,0.00004581785,0.00003394354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7650008,"threshold_uncertainty_score":0.7615023,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4242035895","doi":"10.1504/ijpse.2017.084741","title":"Supervisory control of a resilient DC microgrid for commercial buildings","year":2017,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Photovoltaic system; Renewable energy; Energy storage; Battery (electricity); Automotive engineering; Inverter; Grid; Engineering; Supercapacitor; Controller (irrigation); Distributed generation; Energy management; Electrical engineering; Computer science; Power (physics); Energy (signal processing); Voltage; Capacitance","retraction":null,"screen_n_in":null,"score":{"opus":0.01091413242984854,"gpt":0.2374923299911397,"spread":0.2265781975612912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002786057,0.000134749,0.0003143219,0.0001964969,0.00004577969,0.0001341969,0.000638527,0.00006687189,0.000004013622],"category_scores_gemma":[0.0001635625,0.0001294827,0.0001372752,0.0000263887,0.00001826032,0.0003513687,0.0000177239,0.0001234571,6.598153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007301303,"about_ca_system_score_gemma":0.00003101986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001056666,"about_ca_topic_score_gemma":0.000001609192,"domain_scores_codex":[0.9988916,0.000006267235,0.0005968851,0.00007863521,0.0002742552,0.0001523444],"domain_scores_gemma":[0.9986262,0.00005989287,0.0003497327,0.0001255432,0.0007787503,0.00005983286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001086683,0.000026808,0.00119628,0.0003827959,0.0003901858,0.000009005641,0.0002385851,0.9554724,0.03706785,0.0002688202,0.0002272525,0.004611307],"study_design_scores_gemma":[0.005149689,0.0001365661,0.002503049,0.001260992,0.0001191202,0.000225476,0.0001290112,0.9463663,0.02479717,0.00003876759,0.01890451,0.0003694061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3323857,0.008188204,0.6518005,0.0002352029,0.006693291,0.0004074518,0.000108457,0.00006906025,0.0001121157],"genre_scores_gemma":[0.9975429,0.0001763127,0.001323523,0.00000807553,0.0008892874,0.00001780243,0.000003048757,0.00003064755,0.000008403864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6651572,"threshold_uncertainty_score":0.528015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2692419505","doi":"10.1504/ijpse.2017.10005793","title":"Supervisory control of a resilient DC microgrid for commercial buildings","year":2017,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Supervisory control; Control (management); Engineering; Control engineering; Electrical engineering; Computer science; Renewable energy","retraction":null,"screen_n_in":null,"score":{"opus":0.01091413242984854,"gpt":0.2374923299911397,"spread":0.2265781975612912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002786057,0.000134749,0.0003143219,0.0001964969,0.00004577969,0.0001341969,0.000638527,0.00006687189,0.000004013622],"category_scores_gemma":[0.0001635625,0.0001294827,0.0001372752,0.0000263887,0.00001826032,0.0003513687,0.0000177239,0.0001234571,6.598153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007301303,"about_ca_system_score_gemma":0.00003101986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001056666,"about_ca_topic_score_gemma":0.000001609192,"domain_scores_codex":[0.9988916,0.000006267235,0.0005968851,0.00007863521,0.0002742552,0.0001523444],"domain_scores_gemma":[0.9986262,0.00005989287,0.0003497327,0.0001255432,0.0007787503,0.00005983286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001086683,0.000026808,0.00119628,0.0003827959,0.0003901858,0.000009005641,0.0002385851,0.9554724,0.03706785,0.0002688202,0.0002272525,0.004611307],"study_design_scores_gemma":[0.005149689,0.0001365661,0.002503049,0.001260992,0.0001191202,0.000225476,0.0001290112,0.9463663,0.02479717,0.00003876759,0.01890451,0.0003694061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3323857,0.008188204,0.6518005,0.0002352029,0.006693291,0.0004074518,0.000108457,0.00006906025,0.0001121157],"genre_scores_gemma":[0.9975429,0.0001763127,0.001323523,0.00000807553,0.0008892874,0.00001780243,0.000003048757,0.00003064755,0.000008403864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6651572,"threshold_uncertainty_score":0.528015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142366700","doi":"10.1504/ijpse.2012.051028","title":"Risk-based performance analysis for regional hybrid fuel with compressed natural gas option","year":2012,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Compressed natural gas; Natural gas; Gasoline; Engineering; Process (computing); Transport engineering; Civil engineering; Environmental science; Environmental economics; Computer science; Waste management; Economics; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005550036129626395,"gpt":0.2063259285372291,"spread":0.2007758924076027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002043573,0.0001636108,0.0002548428,0.0004241448,0.00002908074,0.0000672712,0.0002665639,0.00004256219,0.00000420904],"category_scores_gemma":[0.00002275843,0.0001318138,0.000126014,0.0002408532,0.000009114475,0.0005250241,0.000005377444,0.0002614352,6.973236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529134,"about_ca_system_score_gemma":0.00002815951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003481995,"about_ca_topic_score_gemma":5.600916e-7,"domain_scores_codex":[0.9988475,0.000008503383,0.0003868553,0.00007836105,0.0004476273,0.0002311508],"domain_scores_gemma":[0.9989945,0.0000646419,0.0002427549,0.0000718334,0.0005362944,0.00009000207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006638184,0.00001408397,0.0157229,0.0002127044,0.0009288969,0.000002678108,0.00008346192,0.9815351,0.000735058,0.00006491882,0.00007152869,0.0005622758],"study_design_scores_gemma":[0.0006837052,0.00005816953,0.01130825,0.0001622918,0.0001817948,0.0001918053,0.00002743038,0.9826418,0.003303667,0.000005916682,0.001261417,0.00017375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6541526,0.00178414,0.342999,0.00001883081,0.0008736043,0.00008888806,0.00001413772,0.00005034315,0.00001838973],"genre_scores_gemma":[0.9963324,0.00005697398,0.002623446,0.000009107864,0.0009036477,0.00001602372,0.00002135579,0.0000299004,0.000007162241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3421797,"threshold_uncertainty_score":0.5375209,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059676261","doi":"10.1504/ijpse.2012.045901","title":"A robust method for coupling detection among process variables","year":2012,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Process (computing); Computer science; Coupling (piping); Reliability engineering; Control theory (sociology); Engineering; Artificial intelligence; Control (management); Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01305698707546218,"gpt":0.2597897137556975,"spread":0.2467327266802354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008127978,0.0001940842,0.0003122004,0.0003683621,0.00004071569,0.0001301095,0.0002872027,0.0001198378,0.000006896332],"category_scores_gemma":[0.0001756196,0.0001851368,0.0001248473,0.0001689377,0.000006390043,0.0007846781,0.000007868846,0.0002270626,0.000003158536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143154,"about_ca_system_score_gemma":0.00002448655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001267227,"about_ca_topic_score_gemma":0.000002205095,"domain_scores_codex":[0.9984645,0.00001165308,0.0006898422,0.00009948128,0.0004445688,0.000290015],"domain_scores_gemma":[0.9987742,0.0001225117,0.0002560186,0.00007239562,0.0006322752,0.0001425753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002682433,0.00001738501,0.0004161386,0.0004511264,0.0003027362,0.000002523396,0.0003807326,0.9872216,0.01034926,0.00008874601,0.00002337597,0.0007195351],"study_design_scores_gemma":[0.0006359982,0.00003017366,0.000144499,0.0003845577,0.00004229971,0.0003694552,0.0005661458,0.9842772,0.0108196,0.0000106995,0.002521563,0.0001977608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.111563,0.0009300609,0.8789157,0.000007107031,0.008054433,0.0002356363,0.000007620404,0.0001692305,0.0001172757],"genre_scores_gemma":[0.9956466,0.00001167566,0.001630575,0.000003857125,0.002504591,0.0001109915,0.000001821169,0.00006055039,0.00002933653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8840836,"threshold_uncertainty_score":0.7549657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1802369074","doi":"10.1504/ijpse.2015.071426","title":"gpuMF: a framework for parallel hybrid metaheuristics on GPU with application to the minimisation of harmonics in multilevel inverters","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Metaheuristic; Computer science; Speedup; Massively parallel; Parallel computing; Graphics processing unit; General-purpose computing on graphics processing units; Graphics; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.03873028025378757,"gpt":0.3160088406888025,"spread":0.277278560435015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009324663,0.0001133146,0.0002142825,0.0004017217,0.00001613325,0.0001223167,0.001081939,0.00003496204,4.39063e-7],"category_scores_gemma":[0.001324538,0.00008147341,0.00003908155,0.0002778733,0.00001223441,0.0002617084,0.00004774728,0.0001810969,0.000001719538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646337,"about_ca_system_score_gemma":0.0001993738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150684,"about_ca_topic_score_gemma":0.000001011188,"domain_scores_codex":[0.9981029,0.00003906773,0.000582782,0.0001572573,0.0009771131,0.0001408746],"domain_scores_gemma":[0.9971124,0.0003594498,0.0004013366,0.0001955102,0.001818223,0.000113098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008124369,0.00005248263,0.00008642978,0.00005320532,0.00006409056,0.000007091151,0.0009141067,0.9843141,0.00003491372,0.01003417,0.0001198364,0.004238266],"study_design_scores_gemma":[0.0006171287,0.0001510208,0.0001387187,0.0002555349,0.00000715635,0.00005422605,0.0001196246,0.9967272,0.0004753271,0.000494645,0.0008737664,0.00008569101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002408093,0.00007388672,0.9954295,0.001002084,0.0006343613,0.0004154038,0.000009583244,0.00001266149,0.00001440132],"genre_scores_gemma":[0.7527937,0.000006606635,0.2469178,0.00004645723,0.0001378342,0.00007294938,0.000002179265,0.00001213643,0.00001032193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7503856,"threshold_uncertainty_score":0.3322389,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2228228559","doi":"10.1504/ijpse.2015.071429","title":"Incentives for the reuse of electric vehicle batteries for load-shifting in residences","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Incentive; Reuse; Electricity; Environmental economics; Battery (electricity); Electric vehicle; Smart grid; Load shifting; Demand response; Government (linguistics); Load profile; Automotive engineering; Engineering; Business; Computer science; Electrical engineering; Economics; Power (physics); Microeconomics; Waste management","retraction":null,"screen_n_in":null,"score":{"opus":0.01368989921763976,"gpt":0.2527420648124472,"spread":0.2390521655948074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521041,0.00009799173,0.0001928006,0.0001802018,0.00001501268,0.00005405414,0.0005159117,0.00004649494,8.844927e-7],"category_scores_gemma":[0.000826118,0.00007349179,0.00005928019,0.0001807086,0.000008862562,0.0003048756,0.0000166459,0.0001351363,1.197166e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169541,"about_ca_system_score_gemma":0.00009733076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000134927,"about_ca_topic_score_gemma":0.000002764288,"domain_scores_codex":[0.9989397,0.000007706905,0.0005046537,0.0000636425,0.0003311085,0.0001531915],"domain_scores_gemma":[0.9986745,0.0003137528,0.0001862816,0.00007161078,0.0007176796,0.00003618994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001043243,0.00001045804,0.001936337,0.000320413,0.0001723926,0.000003998944,0.001817389,0.9779039,0.01450234,0.0004691774,0.0005115313,0.00224776],"study_design_scores_gemma":[0.00142663,0.0001883308,0.002192187,0.0008888117,0.00002946684,0.0000930003,0.001261226,0.9497184,0.04136542,0.0007349452,0.00191073,0.0001908183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006158,0.008432947,0.08837771,0.0002619399,0.001878134,0.0003343807,0.00001220409,0.00003287705,0.00005401402],"genre_scores_gemma":[0.9985867,0.00006844212,0.0008275048,0.000005303405,0.000457043,0.0000260655,7.561087e-7,0.00001978176,0.000008359576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09797095,"threshold_uncertainty_score":0.2996908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2332202506","doi":"10.1504/ijpse.2015.075104","title":"Optimal design of T&lt;SUP align=\"right\"&gt;2&lt;/SUP&gt; monitoring chart for chemical processes","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Control chart; Chart; Reliability engineering; Shewhart individuals control chart; Optimal design; Statistical process control; Reliability (semiconductor); \\bar x and R chart; Control limits; Engineering; Sampling (signal processing); Statistics; Computer science; Process (computing); EWMA chart; Mathematics; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.1036337886980525,"gpt":0.3887132744359355,"spread":0.285079485737883,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002398777,0.0003344426,0.0007609547,0.0006170924,0.00005371061,0.0003242249,0.001820361,0.0001468962,0.000008773421],"category_scores_gemma":[0.01532628,0.000273535,0.0001471874,0.0005701993,0.00006780971,0.001418032,0.0001164146,0.0002845404,0.000009741559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045934,"about_ca_system_score_gemma":0.0004950319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002050575,"about_ca_topic_score_gemma":9.710796e-8,"domain_scores_codex":[0.9936824,0.00005356003,0.002066104,0.0004162127,0.003357113,0.0004245797],"domain_scores_gemma":[0.987694,0.00196659,0.001251324,0.0002216349,0.008493389,0.0003730195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003448766,0.00008451556,0.0003823375,0.0003219288,0.0001725005,0.00005851454,0.001138915,0.9811119,0.01416974,0.0006910159,0.0003475292,0.001176221],"study_design_scores_gemma":[0.00413584,0.0007621748,0.00008052222,0.00364231,0.0001402335,0.001180701,0.003387937,0.7707753,0.1998155,0.006067593,0.008866789,0.001145115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06678474,0.001860485,0.9280118,0.00008520876,0.002767425,0.0003134026,0.00004562978,0.00004986388,0.00008138465],"genre_scores_gemma":[0.9367698,0.00002364467,0.06072873,0.000003697147,0.002247771,0.00006010979,0.000002544628,0.0000535192,0.0001101608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8699851,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049634099","doi":"10.1504/ijpse.2011.038943","title":"Development of support tool for control design of nuclear power plant using hierarchical control chart (HCC)","year":2011,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Troubleshooting; Systems engineering; Control (management); Nuclear power; Nuclear power plant; Control engineering; Process (computing); Hierarchical control system; Advanced process control; Engineering; Process control; Control system; Reliability engineering; Computer science; Software engineering; Artificial intelligence; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02145693011074293,"gpt":0.229313940698643,"spread":0.2078570105879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006006358,0.0001755312,0.0005176982,0.0003327476,0.0000199751,0.00002542094,0.0003289099,0.00009287698,0.00002216705],"category_scores_gemma":[0.0000840217,0.0001619425,0.000133993,0.0000683807,0.00001485074,0.000215948,0.000008090746,0.0001606498,0.000001494074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202628,"about_ca_system_score_gemma":0.0001056731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003855606,"about_ca_topic_score_gemma":2.693258e-7,"domain_scores_codex":[0.9980059,0.00002189977,0.001216831,0.00009634744,0.0004666455,0.0001923863],"domain_scores_gemma":[0.9988114,0.00009139258,0.0004042824,0.0000787778,0.0005343645,0.00007979935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009098236,0.000107979,0.0002420547,0.0008684568,0.002015305,0.00003700835,0.00377321,0.7727714,0.2175073,0.001130106,0.00008077594,0.0005566002],"study_design_scores_gemma":[0.003638727,0.0001948178,0.0002289494,0.0007517206,0.00006447142,0.000450412,0.0003749776,0.98313,0.008392434,0.000009886639,0.002508748,0.0002548204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1335537,0.0001942267,0.8633075,0.000006889307,0.002334157,0.00040721,0.00005595704,0.00005109444,0.00008924598],"genre_scores_gemma":[0.9948581,0.000003328111,0.004870211,0.000007133456,0.0001896301,0.00002178645,0.000001192856,0.00004355538,0.000005087961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8613043,"threshold_uncertainty_score":0.6603825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2315835392","doi":"10.1504/ijpse.2015.075109","title":"Absorbance and thermal diffusion characteristics of charged ion in organic photovoltaic solar cell","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Organic solar cell; Solar cell; Photovoltaic system; Mimosa pudica; Materials science; Diffusion; Chemistry; Analytical Chemistry (journal); Thermodynamics; Optoelectronics; Chromatography; Physics; Engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00576879119837509,"gpt":0.1952017741834975,"spread":0.1894329829851224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932397,0.0001311212,0.000258219,0.0002132747,0.000007032895,0.00003391297,0.0002212175,0.00007195835,0.000008228481],"category_scores_gemma":[0.00005112768,0.000126616,0.00003026303,0.0001090504,0.000007667857,0.0001871042,0.00002037151,0.0002584725,0.000001425991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463478,"about_ca_system_score_gemma":0.00006329063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166809,"about_ca_topic_score_gemma":0.000002044206,"domain_scores_codex":[0.9988958,0.00001014412,0.0005306947,0.0000752128,0.00033802,0.0001501335],"domain_scores_gemma":[0.9993305,0.00002954862,0.0001920831,0.00006330943,0.0003037631,0.00008085639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002706459,0.00003838458,0.004912908,0.0003194191,0.00004789461,0.00003009427,0.0009448794,0.02413137,0.9693186,0.00002989038,0.00001543003,0.0001840802],"study_design_scores_gemma":[0.00217113,0.0001872257,0.006139669,0.0009814602,0.00002825749,0.0003041764,0.0003148519,0.3420298,0.6460545,0.00004575208,0.001342887,0.0004002597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941038,0.002411372,0.00208084,0.000007188399,0.001221292,0.00007508026,0.000007605523,0.00002161772,0.00007123875],"genre_scores_gemma":[0.9993902,0.0002394114,0.00005642021,0.000003118876,0.0002559512,0.000002674117,0.000002607065,0.0000337872,0.00001580588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3232641,"threshold_uncertainty_score":0.5163249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2676303701","doi":"10.1504/ijpse.2017.10005791","title":"Fuzzy logic-based charging strategy for electric vehicles plugged into a smart grid","year":2017,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Fuzzy logic; Automotive engineering; Electric vehicle; Grid; Voltage; Electricity; Smart grid; Engineering; Electrical engineering; Computer science; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.02701887761057385,"gpt":0.3130297342951087,"spread":0.2860108566845348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003434835,0.0002050883,0.000301839,0.0005360593,0.0001072934,0.0003333413,0.001335493,0.0001119407,0.000002966016],"category_scores_gemma":[0.0005537535,0.0001937506,0.0001065582,0.00009412219,0.00002492683,0.0006069892,0.00004547931,0.000398764,0.000003759718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399185,"about_ca_system_score_gemma":0.00007314482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007911582,"about_ca_topic_score_gemma":0.000001704694,"domain_scores_codex":[0.9984602,0.000007734418,0.0005269915,0.0001486657,0.0005218303,0.0003345376],"domain_scores_gemma":[0.9986252,0.0001168372,0.0002867053,0.0002268379,0.0006628321,0.00008164455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000440383,0.00001958424,0.0004843399,0.0004771207,0.0001911789,0.00007039926,0.00004844223,0.9387417,0.05293328,0.000617685,0.0001551436,0.006217064],"study_design_scores_gemma":[0.001595603,0.0001852205,0.0009054967,0.0008445172,0.00002140512,0.0001987401,0.0001566113,0.9274819,0.06385061,0.001194118,0.003131189,0.0004345873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4289744,0.003629318,0.5595183,0.0006262365,0.005171456,0.0006832205,0.00003918479,0.0006406909,0.0007171367],"genre_scores_gemma":[0.9970779,0.00006219174,0.002009309,0.000007266082,0.0006931849,0.00006994289,0.000004123464,0.00005469685,0.00002143058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5681034,"threshold_uncertainty_score":0.7900922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2579588795","doi":"10.1504/ijpse.2011.041561","title":"Integration and coordination of multisite refinery and under uncertainty","year":2011,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Refinery; Oil refinery; Petrochemical; Product (mathematics); Sample (material); Time horizon; Engineering; Process engineering; Operations research; Computer science; Waste management; Mathematical optimization; Mathematics; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01326620726764369,"gpt":0.2231306639546937,"spread":0.2098644566870501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001663684,0.0001047829,0.0001627169,0.0002988753,0.00001153174,0.00003791624,0.0001062721,0.00005990255,0.000006991022],"category_scores_gemma":[0.00008755657,0.00009305568,0.0000237732,0.00009486231,0.00001744765,0.0005317102,0.00001031973,0.0001142368,3.171035e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005075912,"about_ca_system_score_gemma":0.00001322444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002193752,"about_ca_topic_score_gemma":0.000003783774,"domain_scores_codex":[0.9992046,0.000008520253,0.000440584,0.00006783115,0.0002102624,0.00006816918],"domain_scores_gemma":[0.9990835,0.00002791597,0.0001748814,0.00003890733,0.0006283268,0.00004645589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005089168,0.00003386293,0.001062469,0.0003519481,0.0002131268,0.00000621875,0.002431178,0.9537802,0.02861004,0.007154304,0.00008482019,0.00622093],"study_design_scores_gemma":[0.0005245506,0.00005841537,0.002397923,0.0005257808,0.00002249868,0.0001760923,0.0006884827,0.9848385,0.01030611,0.0001573051,0.00016237,0.0001419496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4971584,0.001723489,0.4990756,0.00004016659,0.001109961,0.0001041332,0.000008891001,0.00006405106,0.0007152874],"genre_scores_gemma":[0.9976093,0.0002284816,0.002024121,0.000005962152,0.00008565732,0.000004650203,0.000004572752,0.00001549425,0.00002175644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5004509,"threshold_uncertainty_score":0.37947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967071983","doi":"10.1504/ijpse.2009.028000","title":"Optimal design of a hybrid air stripping/pervapouration system for removal of multicomponent VOCs from groundwater","year":2009,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Groundwater; Stripping (fiber); Environmental science; Environmental engineering; Waste management; Air stripping; Engineering; Geotechnical engineering; Electrical engineering; Wastewater","retraction":null,"screen_n_in":null,"score":{"opus":0.01608691997877723,"gpt":0.2384398097946986,"spread":0.2223528898159214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000303006,0.0001600005,0.0003818833,0.0002631287,0.00001240181,0.00002664114,0.0002820186,0.00004951624,0.000003639945],"category_scores_gemma":[0.00003264952,0.0001501192,0.0001261327,0.00006505149,0.000007677168,0.0003136916,0.00000366678,0.000108617,6.320987e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217899,"about_ca_system_score_gemma":0.00003848182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001102553,"about_ca_topic_score_gemma":2.371372e-7,"domain_scores_codex":[0.9981869,0.00001409327,0.001106289,0.00009653955,0.0004673038,0.0001288091],"domain_scores_gemma":[0.9987897,0.00007135465,0.0003535524,0.00008509088,0.0006384611,0.0000618478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001137336,0.00003618536,0.00001600471,0.0003784892,0.0001996051,0.00004091866,0.0002695267,0.8757619,0.1228206,0.0001368365,0.000016141,0.0002101052],"study_design_scores_gemma":[0.00102219,0.000114118,0.0002135673,0.0009559378,0.0000445634,0.0004066004,0.0001490713,0.8339207,0.1628224,0.000006854463,0.0002125036,0.0001315108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4319617,0.0003105168,0.5665498,0.0000158087,0.0009307956,0.0001559696,0.00002342158,0.0000348756,0.00001708557],"genre_scores_gemma":[0.9857408,0.00001854021,0.01382405,0.000003237373,0.0003534947,0.00000798052,0.00002114093,0.00002255555,0.000008182567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5537791,"threshold_uncertainty_score":0.6121685,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2328442432","doi":"10.1504/ijpse.2015.075127","title":"CHP within smart micro energy grid: optimum operation with distributed energy resources","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Oak Ridge National Laboratory","keywords":"Distributed generation; Smart grid; Grid; Engineering; Investment (military); Cogeneration; Environmental economics; Energy storage; Automotive engineering; Power (physics); Reliability engineering; Renewable energy; Electrical engineering; Electricity generation; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.007629374775117701,"gpt":0.1954365933652999,"spread":0.1878072185901822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003049295,0.0002607698,0.0003092342,0.0004029772,0.00002526731,0.0002378549,0.0005412865,0.00008004832,0.000005366846],"category_scores_gemma":[0.00004701797,0.0002260957,0.00005816886,0.0002152044,0.00001703622,0.0005619967,0.00004300512,0.0001696495,0.000002589133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829491,"about_ca_system_score_gemma":0.00006485404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009107907,"about_ca_topic_score_gemma":0.00001899865,"domain_scores_codex":[0.9980723,0.00002216954,0.0006990254,0.0001568241,0.0008175612,0.0002321291],"domain_scores_gemma":[0.9987457,0.00003013254,0.0002262726,0.0001420069,0.000661079,0.0001948425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004885145,0.00002183695,0.0002430356,0.00005522855,0.0004193343,0.0001231257,0.0003129802,0.9950363,0.001065034,0.0009216548,0.001653387,0.00009922709],"study_design_scores_gemma":[0.001463741,0.0001515203,0.0001607665,0.000627717,0.00005615313,0.0009173641,0.0005953942,0.8956234,0.01183781,0.00002181793,0.08806874,0.0004755834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1468384,0.002267055,0.8385223,0.0001709647,0.01067995,0.00008956884,0.00003553397,0.0003336477,0.001062543],"genre_scores_gemma":[0.9967294,0.00004362297,0.001210658,0.00002204117,0.001753415,0.00002605573,0.00004236924,0.00006786181,0.0001045368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.849891,"threshold_uncertainty_score":0.9219916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2173932025","doi":"10.1504/ijpse.2015.071413","title":"Analytical and experimental investigation of thermal efficiency improvement of thermochemical water splitting for hydrogen production","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland; Ontario Tech University; University of Alberta","funders":"","keywords":"Molten salt; Hydrogen production; Hydrogen; Thermal; Materials science; Thermochemical cycle; Heat recovery ventilation; Thermodynamics; Thermal efficiency; Nuclear engineering; Chemistry; Metallurgy; Heat exchanger; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01440545004755537,"gpt":0.2439652492126657,"spread":0.2295597991651103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002656541,0.0001083338,0.0002195945,0.00009859401,0.000007168704,0.00001360929,0.0001630858,0.00005575769,0.000001348356],"category_scores_gemma":[0.0001465099,0.00008407357,0.00005218545,0.00005589891,0.00002798275,0.0001431566,0.00002217636,0.00009162817,1.390558e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109097,"about_ca_system_score_gemma":0.000023301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003082175,"about_ca_topic_score_gemma":2.119832e-8,"domain_scores_codex":[0.9989238,0.000004074028,0.0005472422,0.00009161845,0.000318972,0.0001142906],"domain_scores_gemma":[0.9992481,0.0000364159,0.0001343853,0.00005061479,0.0004503918,0.00008009154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004086795,0.00002274855,0.0001502441,0.0004172343,0.00009864572,7.189161e-7,0.0006979275,0.08911707,0.9092742,0.0000322197,0.000006446007,0.000141663],"study_design_scores_gemma":[0.0004147464,0.00006810865,0.000005547063,0.0002853959,0.00001870675,0.00003461308,0.0001958329,0.07415744,0.9246599,0.00006819405,0.00001086273,0.0000806434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964284,0.0008471559,0.002144535,0.00003791543,0.0003824084,0.0001023874,0.00000265516,0.00002228372,0.00003220526],"genre_scores_gemma":[0.9994457,0.000004041599,0.0002134339,0.000001708659,0.0002988801,0.000009647079,0.000003882504,0.00001854003,0.00000411578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538569,"threshold_uncertainty_score":0.3428421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2278882138","doi":"10.1504/ijpse.2015.071428","title":"Energy and exergy analyses of power generation via an integrated biomass post-firing combined-cycle","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Combined cycle; Exergy efficiency; Environmental science; Gas compressor; Biomass (ecology); Combustor; Overall pressure ratio; Natural gas; Condenser (optics); Electricity generation; Waste management; Nuclear engineering; Engineering; Turbine; Power (physics); Chemistry; Combustion; Thermodynamics; Mechanical engineering; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01768128300639184,"gpt":0.2561782795170767,"spread":0.2384969965106848,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894731,0.0001813357,0.0002942829,0.000441521,0.00001189762,0.00007620612,0.0003331287,0.00009297958,0.000009518842],"category_scores_gemma":[0.000102214,0.0001649763,0.00005293308,0.0002131536,0.00002164902,0.0006607011,0.00003112588,0.00009957551,6.744555e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180434,"about_ca_system_score_gemma":0.00005291937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005333167,"about_ca_topic_score_gemma":0.000002938909,"domain_scores_codex":[0.9986274,0.00001841018,0.0006228432,0.0001209687,0.0004727392,0.0001376436],"domain_scores_gemma":[0.9981134,0.00003624972,0.000232401,0.00009337888,0.001348246,0.0001763551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000478741,0.00003665718,0.0001405765,0.000108726,0.0002832518,0.00002711425,0.000327644,0.09428164,0.9030021,0.0001344436,0.00004582705,0.001564187],"study_design_scores_gemma":[0.0007259061,0.000149144,0.00004940698,0.0002384654,0.00003280695,0.0002680097,0.0003876035,0.2145113,0.7830541,0.00004846026,0.0003163986,0.0002183736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417515,0.002470634,0.0542602,0.00002598552,0.001318651,0.00003796061,0.00001140627,0.00007869844,0.00004492889],"genre_scores_gemma":[0.999132,0.00002993251,0.0005767834,0.000006910767,0.0001919094,0.000004109548,0.00001653154,0.00003458623,0.000007221488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202297,"threshold_uncertainty_score":0.6727536,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1958839546","doi":"10.1504/ijpse.2015.071431","title":"Automotive underbody diffuser for battery thermal management","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Diffuser (optics); Battery pack; Battery (electricity); Automotive engineering; Aerodynamic drag; Range (aeronautics); Aerodynamics; Air cooling; Thermal; Automotive industry; Engineering; Marine engineering; Environmental science; Electrical engineering; Mechanical engineering; Aerospace engineering; Meteorology; Physics; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.02343533166316753,"gpt":0.2906171589232773,"spread":0.2671818272601098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271514,0.0001492729,0.0001968992,0.0003917742,0.00001239409,0.0000810035,0.0006293599,0.00006352407,0.000003504892],"category_scores_gemma":[0.0001071451,0.0001359031,0.00006377741,0.0001132036,0.00001481299,0.0003833274,0.00005444432,0.0002084903,0.000005992881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003666119,"about_ca_system_score_gemma":0.00002236889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.134261e-7,"about_ca_topic_score_gemma":1.675128e-7,"domain_scores_codex":[0.9987216,0.000006705036,0.0004017488,0.00009921753,0.0005388811,0.0002318264],"domain_scores_gemma":[0.9989879,0.00006298692,0.00009535786,0.0001047747,0.0006602242,0.00008878538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002501707,0.00002108798,0.0001882027,0.0002223536,0.0003642393,0.00007754006,0.0001626062,0.9950605,0.001144726,0.0004119015,0.0007362892,0.001585511],"study_design_scores_gemma":[0.004028684,0.0002610231,0.0009717699,0.001223205,0.00005801952,0.0006026616,0.003084264,0.9517196,0.0142828,0.0008443173,0.02219921,0.0007243915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1697927,0.0008762795,0.8229063,0.0002537998,0.004400822,0.000355554,0.00001685551,0.0003751767,0.001022566],"genre_scores_gemma":[0.9964007,0.00002623326,0.002968109,0.00001195543,0.0004074254,0.00005169745,0.00000281812,0.00004837959,0.00008270696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.826608,"threshold_uncertainty_score":0.5541968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025367269","doi":"10.1504/ijpse.2015.071414","title":"Configurations for multiple thermal energy storages in thermal networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Heat exchanger; Thermal energy storage; Thermal; Grid; Series (stratigraphy); Thermal energy; Energy (signal processing); Space (punctuation); Computer science; Engineering; Mechanical engineering; Physics; Mathematics; Thermodynamics; Operating system; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.03731608644012827,"gpt":0.287491932229847,"spread":0.2501758457897187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003738222,0.0001265583,0.0002092532,0.00031994,0.0000109196,0.0001136652,0.0003584009,0.00007014436,0.000006145887],"category_scores_gemma":[0.0001560148,0.0001191778,0.00004781823,0.00009752713,0.000009071781,0.0003514249,0.00001687448,0.0001316658,0.000001044253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220957,"about_ca_system_score_gemma":0.00005586042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214135,"about_ca_topic_score_gemma":0.000007801552,"domain_scores_codex":[0.99889,0.0000192926,0.0004482723,0.00007519507,0.0003597414,0.0002074593],"domain_scores_gemma":[0.9990894,0.0001095433,0.00009155569,0.00006405995,0.0005389408,0.0001065396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004380006,0.00001746476,0.0001492936,0.0000581701,0.00008349785,0.00003617517,0.0003421281,0.9524588,0.0461192,0.0001182966,0.0001339277,0.0004392586],"study_design_scores_gemma":[0.0011778,0.00004078539,0.0001583129,0.0002210861,0.000005214472,0.00007250624,0.0001968727,0.9818848,0.01409811,0.000009507386,0.001996062,0.0001389716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6947277,0.002670368,0.296266,0.0000689691,0.005616665,0.0002127633,0.00003670845,0.00009459869,0.000306235],"genre_scores_gemma":[0.9982423,0.0000179259,0.0002191483,0.000005221214,0.001383725,0.00006311276,0.00001055233,0.00004009485,0.00001796907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035145,"threshold_uncertainty_score":0.4859929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2232031532","doi":"10.1504/ijpse.2015.071434","title":"Economic and environmental analysis of a green energy hub with energy storage under fixed and variable pricing structures","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy storage; Renewable energy; Distributed generation; Pumped-storage hydroelectricity; Environmental economics; Tariff; Wind power; Stand-alone power system; Capital cost; Automotive engineering; Grid energy storage; Electricity generation; Electricity; Environmental science; Engineering; Electrical engineering; Power (physics); Business; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.003295914802733879,"gpt":0.1745544855279808,"spread":0.1712585707252469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008187314,0.0001250205,0.000274155,0.0003838224,0.00001041786,0.00004424614,0.0001292727,0.00005237365,0.000005108752],"category_scores_gemma":[0.000004247124,0.0001049302,0.00002847795,0.0001105653,0.00001365209,0.0002299769,0.00001858118,0.00008784442,2.506209e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478346,"about_ca_system_score_gemma":0.00002936755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002555349,"about_ca_topic_score_gemma":0.00001688751,"domain_scores_codex":[0.9992703,0.00000760116,0.0003140685,0.00008605343,0.0002190485,0.0001029814],"domain_scores_gemma":[0.9996234,0.00002646857,0.0001527051,0.00005072644,0.0000584988,0.00008816844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001776825,0.000003373008,0.002251592,0.00003983044,0.001317149,0.000008567885,0.0002172803,0.99088,0.003198158,0.00159955,0.00001418793,0.0004525244],"study_design_scores_gemma":[0.000582879,0.00008116383,0.0037739,0.0000898498,0.0002178266,0.000385054,0.0003347514,0.9919639,0.001801816,0.0001553232,0.0004451366,0.0001684257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789126,0.002598048,0.1181403,0.0000101818,0.0002283511,0.0000208428,0.00002022777,0.00001600386,0.00005342506],"genre_scores_gemma":[0.9991778,0.00007559761,0.0005445951,0.000007118138,0.0001520184,0.000001670076,0.000006140768,0.00001905614,0.00001596488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202653,"threshold_uncertainty_score":0.4278931,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108619164","doi":"","title":"Integration and coordination of multisite refinery and petrochemical networks under uncertainty","year":2011,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Refinery; Oil refinery; Petrochemical; Product (mathematics); Engineering; Process engineering; Waste management; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01017041660035906,"gpt":0.214550870846383,"spread":0.2043804542460239,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001593741,0.0001155455,0.0001787498,0.0002426013,0.00001188397,0.00003936339,0.0001152961,0.00007888838,0.000005783815],"category_scores_gemma":[0.00008985131,0.0001036812,0.0000277061,0.00009957916,0.00002043473,0.0004445582,0.00001275301,0.0001574435,1.833612e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005920228,"about_ca_system_score_gemma":0.00001147554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001317061,"about_ca_topic_score_gemma":0.000002344324,"domain_scores_codex":[0.9991624,0.000008676599,0.0004636324,0.00007697094,0.0002071826,0.00008108866],"domain_scores_gemma":[0.9991013,0.00003501745,0.0001763487,0.00004062222,0.0005914825,0.00005518532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003675669,0.00001972619,0.00064026,0.0001431597,0.0001175984,0.000003343903,0.0006915731,0.9798217,0.01417832,0.002231459,0.0000537139,0.002062383],"study_design_scores_gemma":[0.0003693761,0.00003640585,0.001056084,0.0003598307,0.00001744277,0.0001351164,0.0003205792,0.992231,0.005253505,0.00005679767,0.00005839496,0.00010551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3137917,0.001503049,0.6835238,0.00002323884,0.0007485646,0.00006914752,0.000003996158,0.00004678047,0.0002898161],"genre_scores_gemma":[0.9977006,0.0002641652,0.001853607,0.000006385555,0.0001321877,0.000005068384,0.00000715111,0.00001690512,0.00001388972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.683909,"threshold_uncertainty_score":0.4227996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1803170982","doi":"10.1504/ijpse.2015.071425","title":"Single phase low THD optimised inverter for PV voltage regulation","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Universidad Panamericana","keywords":"Total harmonic distortion; Cascade; Inverter; Control theory (sociology); Compensation (psychology); Harmonic; Voltage; Engineering; Electronic engineering; Three-phase; Power (physics); Distortion (music); Computer science; Electrical engineering; Physics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.03039920057693635,"gpt":0.2657864056936597,"spread":0.2353872051167234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002195075,0.0001749701,0.0002485323,0.0002675337,0.00001421831,0.0001281048,0.0003393069,0.00007889634,0.00001010561],"category_scores_gemma":[0.0000795498,0.000167114,0.0001031042,0.00007935292,0.00001022869,0.0005509624,0.00001222048,0.0001212405,0.000004838387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645631,"about_ca_system_score_gemma":0.00004617161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003552678,"about_ca_topic_score_gemma":4.030734e-7,"domain_scores_codex":[0.9987109,0.000006495718,0.000555692,0.0001043526,0.0004386507,0.0001838757],"domain_scores_gemma":[0.9988351,0.00003919968,0.0001642302,0.00009013706,0.000708619,0.0001626733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009210977,0.00007663729,0.00007488082,0.0003034399,0.0003139147,0.00002788317,0.001019758,0.9526795,0.03056649,0.0001213443,0.003258231,0.01146585],"study_design_scores_gemma":[0.00245184,0.00008522115,0.00001780434,0.0003474533,0.00002134655,0.0001192019,0.0001840852,0.9830016,0.01000424,0.00004658098,0.003535624,0.0001850325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05859581,0.000388815,0.9350184,0.00004508601,0.005423956,0.0002013231,0.00002153512,0.0001053589,0.0001996853],"genre_scores_gemma":[0.9979417,0.000006160827,0.001049012,0.00002519619,0.0008150517,0.00002383708,0.00001215999,0.00004806939,0.00007882633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9393459,"threshold_uncertainty_score":0.681471,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2263526907","doi":"10.1504/ijpse.2015.071427","title":"Improving the accuracy of the single diode PV models","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Saturation current; Irradiance; Diode; Simplicity; Materials science; Electronic engineering; Computer science; Reliability engineering; Optoelectronics; Engineering; Optics; Electrical engineering; Physics; Voltage","retraction":null,"screen_n_in":null,"score":{"opus":0.02800581822557552,"gpt":0.2499555453552782,"spread":0.2219497271297027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006280026,0.0001248502,0.000212887,0.0001446604,0.00002568702,0.00009495702,0.001064747,0.00005925204,0.000002730997],"category_scores_gemma":[0.0009810763,0.00007413259,0.000106748,0.0001817755,0.00002301576,0.0005326823,0.00008594042,0.0001748637,9.03345e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277098,"about_ca_system_score_gemma":0.0001488488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819657,"about_ca_topic_score_gemma":0.000004996195,"domain_scores_codex":[0.9981186,0.00005035956,0.0007471034,0.00008750147,0.0008725573,0.0001238728],"domain_scores_gemma":[0.9971334,0.0001414646,0.0009223476,0.0001933576,0.001550732,0.00005865067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001521661,0.00002312294,0.00009365075,0.00005618067,0.0000963585,0.000004165894,0.0008326306,0.9811941,0.01466378,0.002508831,0.000131741,0.0003802158],"study_design_scores_gemma":[0.0005934565,0.00005318113,0.00003425526,0.0009344471,0.00003367762,0.0006159208,0.0009447194,0.8679408,0.1256132,0.0005916312,0.002473983,0.0001706697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1669165,0.002447253,0.8186347,0.0004004794,0.007327741,0.0005306103,0.00001724489,0.0001749765,0.003550492],"genre_scores_gemma":[0.9986044,0.000008642443,0.0008199008,0.00001967625,0.0004285561,0.00001633,7.327458e-7,0.00002714591,0.0000745967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8316879,"threshold_uncertainty_score":0.3023039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116603383","doi":"10.1504/ijpse.2012.051035","title":"Modular design of heat exchanger networks","year":2012,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Heat exchanger; Modular design; Computer science; Convergence (economics); Mathematical optimization; Engineering; Mechanical engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01360393408107544,"gpt":0.2287483117392867,"spread":0.2151443776582113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030531,0.0001248496,0.0002047357,0.0002735197,0.000009881608,0.00003692488,0.0002523006,0.00007326231,0.00001873612],"category_scores_gemma":[0.00007058867,0.0001139395,0.00005583217,0.0001403758,0.000007611256,0.0007019559,0.000009745854,0.0001495287,0.000002067777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009362731,"about_ca_system_score_gemma":0.00001744435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001978939,"about_ca_topic_score_gemma":5.822358e-8,"domain_scores_codex":[0.9989077,0.00001295905,0.0005140876,0.00004740906,0.0003573001,0.0001605762],"domain_scores_gemma":[0.9991407,0.00003690954,0.0001196982,0.00006022782,0.0005577406,0.00008471753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001011108,0.00001933673,0.0001868319,0.00009994063,0.000120349,0.000002148055,0.0003102406,0.9946966,0.003870546,0.000221779,0.0002118512,0.0002502657],"study_design_scores_gemma":[0.0002146633,0.00002065949,0.0001012191,0.0002767164,0.00001403119,0.0001165923,0.0000841704,0.993524,0.004825499,0.000004164411,0.0007117085,0.0001065556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007118826,0.005148267,0.9842544,0.00001233399,0.003138843,0.00007815153,0.000002576016,0.00005483373,0.0001917247],"genre_scores_gemma":[0.9962819,0.000250556,0.002570196,0.000007062305,0.0008290829,0.000009214915,0.000003290337,0.00003054311,0.00001810545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891631,"threshold_uncertainty_score":0.4646318,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2403378841","doi":"10.1504/ijpse.2014.070091","title":"Hardware-in-the-loop real-time simulation test-bed for smart grid design, control and performance verification","year":2014,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Hardware-in-the-loop simulation; Loop (graph theory); Computer science; Grid; Test (biology); Control (management); Embedded system; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00912180495106874,"gpt":0.2322116572815514,"spread":0.2230898523304827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023538,0.0001588455,0.0002687992,0.0002457351,0.00003639992,0.0002026766,0.0002721904,0.00007134752,0.000002167584],"category_scores_gemma":[0.0003016555,0.0001333225,0.00005659808,0.0001008845,0.000008549121,0.0005640484,0.000004143963,0.0001196736,0.000004389984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009495669,"about_ca_system_score_gemma":0.00002102912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005980251,"about_ca_topic_score_gemma":3.899505e-7,"domain_scores_codex":[0.9986225,0.00004277765,0.0006776454,0.0001113838,0.0003833664,0.0001623255],"domain_scores_gemma":[0.998423,0.0007507062,0.000221461,0.000100335,0.0004504569,0.00005408734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005567683,0.00001309185,0.0008021547,0.0001701659,0.00005794114,0.000001624114,0.0002496334,0.9901137,0.007069526,0.0000658221,0.00003741221,0.001363267],"study_design_scores_gemma":[0.001496105,0.00009590115,0.003391576,0.0002624899,0.00002120485,0.00005839139,0.00005582518,0.9933066,0.0002953396,0.00001057648,0.0008718563,0.0001341569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3051614,0.0003358115,0.6914518,0.0001030023,0.001729552,0.0007933848,0.00001188914,0.0001152746,0.0002977875],"genre_scores_gemma":[0.9987961,0.00002994921,0.0003088287,0.00001132072,0.000731005,0.00006166227,0.000006360644,0.00003049787,0.00002424323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6936347,"threshold_uncertainty_score":0.5436732,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}