{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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","author_layer_release":"2026-06-26"},"query_hash":"619e8471eb78","filters":{"venue":"Mehran University Research Journal of Engineering and Technology"}},"results":[{"id":"W2970804154","doi":"10.22581/muet1982.1702.16","title":"Assessing the Impacts of Climate Change on Future Precipitation Trends Based on Downscaled CMIP5 Simulations Data","year":2017,"lang":"en","type":"article","venue":"Mehran University Research Journal of Engineering and Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact; Pacific Institute for Climate Solutions; University of Victoria","funders":"U.S. Department of Energy","keywords":"Coupled model intercomparison project; Precipitation; Downscaling; Climatology; Environmental science; Climate change; Climate model; Range (aeronautics); Atmospheric sciences; Ensemble average; Meteorology; Geography; Geology","authors":[{"name":"Ghulam Hussain Dars","is_ca":false},{"name":"Mohammad Reza Najafi","is_ca":true},{"name":"Abdul Latif Qureshi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07388591628178266,"gpt":0.3465943748375633,"spread":0.2727084585557806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000991917,0.00005788848,0.0001119485,0.0003306505,0.0003911585,0.00004227787,0.0005831479,0.00008463643,0.00003653751],"category_scores_gemma":[0.0003157084,0.0000436346,0.00002148635,0.00024005,0.0002258662,0.0003951444,0.0002649362,0.0003790421,9.619586e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007085216,"about_ca_system_score_gemma":0.00001065136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000288959,"about_ca_topic_score_gemma":0.00003012154,"domain_scores_codex":[0.999314,0.0000570384,0.00009621344,0.0001188698,0.0002412673,0.0001725988],"domain_scores_gemma":[0.999101,0.0002203723,0.0001066871,0.0004817521,0.00004067264,0.0000494545],"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":[0.00113021,0.001456639,0.3120025,0.0004013304,0.0002297555,0.0002600003,0.002593652,0.3402591,0.114843,0.01825431,0.0005200543,0.2080494],"study_design_scores_gemma":[0.00170644,0.0008392629,0.321869,0.0003508364,0.00004925211,0.00001417019,0.0008390251,0.6687376,0.001114983,0.0003211509,0.003993892,0.0001644047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993986,0.00001399503,0.0003323697,0.004786016,0.00005261193,0.00006432569,0.00003322801,0.00001067082,0.0007207526],"genre_scores_gemma":[0.9993858,0.0001326831,0.0004333406,0.000003800276,0.0000270756,1.265836e-7,0.000003422869,0.000003718418,0.00001000185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3284785,"threshold_uncertainty_score":0.3008515,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045424063","doi":"10.22581/muet1982.2003.13","title":"A Multi-blocked Image Classifier for Deep Learning","year":2020,"lang":"en","type":"article","venue":"Mehran University Research Journal of Engineering and Technology","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Sungkyunkwan University","keywords":"MNIST database; Overfitting; Computer science; Convolutional neural network; Dropout (neural networks); Artificial intelligence; Deep learning; Machine learning; Classifier (UML); Artificial neural network; Contextual image classification; Data mining; Deep neural networks; Pattern recognition (psychology); Image (mathematics)","authors":[{"name":"Nawaz Muhammad Hamza Shah","is_ca":false},{"name":"Muhammad Junaid","is_ca":false},{"name":"Nawab Muhammad Faseeh","is_ca":false},{"name":"Dong Ryeol Shin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03723065329813031,"gpt":0.2837392438525288,"spread":0.2465085905543985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002183557,0.00005757185,0.0001241124,0.0003658515,0.0001592894,0.00002324958,0.0005632075,0.00006493222,9.557582e-7],"category_scores_gemma":[0.0003352722,0.00005957855,0.0000318094,0.0008802853,0.00008902816,0.0001962037,0.0002205728,0.0006068505,0.000001598492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000334554,"about_ca_system_score_gemma":0.00002458473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.405118e-7,"about_ca_topic_score_gemma":5.207936e-7,"domain_scores_codex":[0.9993991,0.00002552476,0.00009372472,0.0001428918,0.0001166259,0.0002221214],"domain_scores_gemma":[0.9992669,0.0001736057,0.00004901085,0.000101286,0.0002904352,0.0001187711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001781334,0.0001451428,0.001274901,0.0001754341,0.0002004374,0.0006130211,0.001442114,0.02520719,0.6936363,0.1337385,0.0008119906,0.1425768],"study_design_scores_gemma":[0.001355227,0.0005244462,0.0001861445,0.00002796464,0.000008208008,0.00009406127,0.0004154119,0.911347,0.005617152,0.0006161982,0.07967534,0.0001328927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02867948,0.0002087965,0.9641985,0.006693061,0.00001895764,0.00009083686,4.841829e-7,0.00008978588,0.00002010691],"genre_scores_gemma":[0.6888188,0.0001642333,0.3109129,0.000009362467,0.00003077973,6.680256e-7,1.888009e-7,0.000006041042,0.00005701735],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8861398,"threshold_uncertainty_score":0.2636497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226214036","doi":"10.22581/muet1982.2202.03","title":"Sensitivity analysis and optimization of land use/cover and aquifer parameters for improved calibration of hydrological model","year":2022,"lang":"en","type":"article","venue":"Mehran University Research Journal of Engineering and Technology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Hydrogeology; Aquifer; Sensitivity (control systems); Environmental science; Hydrology (agriculture); Calibration; Flood myth; Flow (mathematics); Geology; Groundwater; Geotechnical engineering; Engineering; Mathematics","authors":[{"name":"Ammara Nusrat","is_ca":false},{"name":"Hamza Farooq Gabriel","is_ca":false},{"name":"Sajjad Haider","is_ca":false},{"name":"Mohsin Siddique","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01654206465521229,"gpt":0.2207596390419734,"spread":0.2042175743867611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005389677,0.00003850401,0.0001500077,0.0003715308,0.0001042642,0.000003197858,0.00004640685,0.00004159378,0.00000549301],"category_scores_gemma":[0.00007612426,0.00003595704,0.00002086426,0.0003219319,0.0002325651,0.0001008545,0.000232717,0.0001339273,9.022371e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002128616,"about_ca_system_score_gemma":0.000003143671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004785199,"about_ca_topic_score_gemma":0.000008018233,"domain_scores_codex":[0.9996119,0.00004901024,0.00008052684,0.00008795808,0.00007802808,0.00009253401],"domain_scores_gemma":[0.9997443,0.000115955,0.00005135351,0.00004497146,0.00002100585,0.00002243101],"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":[0.0001182341,0.00002088397,0.04968233,0.00001013941,0.0001402979,0.000005424543,0.00007609356,0.9438067,0.005866507,0.0001317927,0.00000926814,0.0001323171],"study_design_scores_gemma":[0.0003797459,0.0002923243,0.002605317,0.000001933269,0.00008695593,0.000006671014,0.00009240362,0.9957667,0.0005523979,0.0001397682,0.00004322441,0.00003254941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310118,0.00002046383,0.1685449,0.000344458,0.000004203277,0.00005780778,0.000007289216,0.000003843677,0.000005205844],"genre_scores_gemma":[0.9928657,0.0001325215,0.006967076,0.000003289311,7.995391e-7,3.391825e-7,0.000001069084,0.000001683115,0.0000275422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618538,"threshold_uncertainty_score":0.1466286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3154600002","doi":"10.22581/muet1982.2101.10","title":"Study of Multi-Model Ensemble High-Resolution Projections of Major Climatic Variables Over the Indus River Basin and Pakistan","year":2021,"lang":"en","type":"article","venue":"Mehran University Research Journal of Engineering and Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"United States Agency for International Development; U.S. Department of Energy","keywords":"Indus; Precipitation; Environmental science; Climatology; Climate change; Drainage basin; Downscaling; Structural basin; Water resources; Quantile; Common spatial pattern; GCM transcription factors; Representative Concentration Pathways; Terrain; Climate model; General Circulation Model; Geography; Meteorology; Geology; Mathematics; Statistics","authors":[{"name":"Ghulam Hussain Dars","is_ca":false},{"name":"Mehran Sattar","is_ca":false},{"name":"Muhammad Tauseef","is_ca":false},{"name":"Courtenay Strong","is_ca":false},{"name":"M. Najafi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03370726834977151,"gpt":0.2807165122946892,"spread":0.2470092439449177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007645219,0.00005486007,0.0001601124,0.0002299037,0.0001280707,0.00000688444,0.0001418726,0.00008088999,0.00001918152],"category_scores_gemma":[0.0001539082,0.000045591,0.00001955241,0.0005499253,0.0003108334,0.0001019988,0.0002652073,0.0003356525,2.464139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007812169,"about_ca_system_score_gemma":0.00003272481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004214722,"about_ca_topic_score_gemma":0.0001706665,"domain_scores_codex":[0.9993007,0.0000894387,0.0001576122,0.0001091293,0.0001987914,0.0001443091],"domain_scores_gemma":[0.999519,0.0001444829,0.00006692988,0.000143908,0.00008841651,0.00003725668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003739536,0.004013946,0.2304378,0.0004557672,0.0005917278,0.0003131937,0.01314586,0.2909991,0.4278263,0.02869643,0.0001580729,0.002987823],"study_design_scores_gemma":[0.01103409,0.002915776,0.1741547,0.0004754605,0.0004518531,0.0003989055,0.04429447,0.7435505,0.01425979,0.007092332,0.0008553002,0.0005167963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944836,0.0000630239,0.005079173,0.0001778247,0.00001538387,0.0001131712,0.000005867497,0.0000067541,0.00005518778],"genre_scores_gemma":[0.9960846,0.0001437584,0.003704787,9.592587e-7,0.000002596884,3.519292e-7,2.585656e-7,0.000003383359,0.00005936125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4525515,"threshold_uncertainty_score":0.1859147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3207902414","doi":"10.22581/muet1982.2104.02","title":"Experimental Study on Influence of Methylcellulose on Tensile and Flexural Strength of Normal Strength Ordinary Portland Cement Concrete","year":2021,"lang":"en","type":"article","venue":"Mehran University Research Journal of Engineering and Technology","topic":"Innovative concrete reinforcement materials","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":"McGill University","funders":"University of Engineering and Technology, Lahore","keywords":"Ultimate tensile strength; Compressive strength; Materials science; Flexural strength; Composite material; Portland cement; Cement; Cylinder; Young's modulus; Mathematics","authors":[{"name":"Ali Ahmed","is_ca":false},{"name":"Shakir Ahmad","is_ca":false},{"name":"Muhammad Kaleem","is_ca":true},{"name":"Bilal Zahid","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01924569482156506,"gpt":0.2656984350696472,"spread":0.2464527402480821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004539605,0.0001318512,0.0003612633,0.0008592866,0.00004727786,0.000009846047,0.0001569139,0.00008599442,0.00001789357],"category_scores_gemma":[0.0001282475,0.0001311997,0.00002734921,0.0004905387,0.0001512201,0.0001080016,0.0001459253,0.0003902349,3.408014e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000705754,"about_ca_system_score_gemma":0.00004089104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008431425,"about_ca_topic_score_gemma":3.687891e-7,"domain_scores_codex":[0.9989969,0.00005830034,0.0002951067,0.000121923,0.000304424,0.0002233095],"domain_scores_gemma":[0.9991628,0.0001327949,0.00008747786,0.0001547906,0.0003994982,0.0000626351],"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":[0.000186423,0.00005068199,0.001613182,0.0001132269,0.0002614548,0.000388542,0.0003531309,0.004667953,0.9900568,0.001926931,0.00002174269,0.0003599718],"study_design_scores_gemma":[0.001864307,0.00341975,0.001557404,0.0002045312,0.00002338641,0.0000482519,0.00473011,0.001177804,0.9864807,0.000006164801,0.0003594366,0.0001281451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992355,0.0002751324,0.00004324288,0.00002636589,0.00004700536,0.0001180829,0.00001400187,0.00002383542,0.00021684],"genre_scores_gemma":[0.9994968,0.0001317202,0.0003148548,0.000001126244,0.00001316093,4.488433e-7,0.000001854457,0.00001102715,0.00002903895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004376979,"threshold_uncertainty_score":0.535017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206943785","doi":"10.22581/muet1982.2104.05","title":"Active Compliant PID Learning Control for Grinding Robots","year":2021,"lang":"en","type":"article","venue":"Mehran University Research Journal of Engineering and Technology","topic":"Advanced Surface Polishing Techniques","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 Toronto","funders":"","keywords":"PID controller; Grinding; Pulverizer; Control theory (sociology); Computer science; Robot; Controller (irrigation); Tracking error; Control engineering; Artificial intelligence; Engineering; Control (management); Mechanical engineering; Temperature control","authors":[{"name":"Lubna Farhi","is_ca":false},{"name":"Farhan Ur Rehman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02240923272864932,"gpt":0.2748070625702042,"spread":0.2523978298415548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004368991,0.0001046445,0.0002664726,0.0007392274,0.00014628,0.00002448857,0.0002220433,0.0001447813,0.000003894848],"category_scores_gemma":[0.0005514027,0.0001205633,0.00005193272,0.0005311802,0.00008463498,0.0001923439,0.00007607167,0.001038243,6.406082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840135,"about_ca_system_score_gemma":0.00004026955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002097454,"about_ca_topic_score_gemma":0.000003426958,"domain_scores_codex":[0.999186,0.00003863,0.0001395154,0.0001173667,0.0001562482,0.0003622126],"domain_scores_gemma":[0.9989724,0.0003302214,0.00003868329,0.0001079961,0.0004558789,0.00009478352],"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":[0.0001601536,0.00005660913,0.002579696,0.0003501635,0.000538566,0.0009568765,0.0004030742,0.4391315,0.5163808,0.02033914,0.0006004555,0.01850298],"study_design_scores_gemma":[0.008751348,0.001504939,0.002128881,0.001472993,0.0001750397,0.001974019,0.007950855,0.2677427,0.5233973,0.006826755,0.1768335,0.001241711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5041526,0.001487069,0.4923537,0.0007355803,0.0002223873,0.0001902849,0.00001525699,0.0005256312,0.0003174654],"genre_scores_gemma":[0.979503,0.0005006643,0.01983188,0.000001544238,0.00003508792,7.8861e-7,0.000001123536,0.00002328589,0.0001026387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4753504,"threshold_uncertainty_score":0.491643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}