{"meta":{"query_hash":"3b74d5f64224","filters":{"venue":"International Journal of Current Engineering and Technology"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3b74d5f64224","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Current+Engineering+and+Technology"},"results":[{"id":"W2804161861","doi":"10.14741/ijcet/v.8.3.7","title":"Prediction of Monsoon Rain for the Year 2018 for Marathawada India","year":2018,"lang":"en","type":"article","venue":"International Journal of Current Engineering and Technology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fast Fourier transform; Monsoon; Rain rate; Meteorology; Environmental science; Statistical analysis; Climatology; Regression analysis; Reliability (semiconductor); Time series; Mathematics; Statistics; Geography; Geology; Algorithm; Precipitation; Physics","score_opus":0.010349417409121636,"score_gpt":0.24193122933303632,"score_spread":0.2315818119239147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804161861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642247,0.000120146426,0.0012982616,0.00009509497,0.000019888992,0.000009532073,0.0011979992,0.00016684529,0.00066976866],"genre_scores_gemma":[0.99676114,0.00014215997,0.0009486628,0.0000064155433,0.000009388609,0.000008416039,0.0016449937,0.000012020142,0.00046689765],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999378,0.000010359425,0.00000479187,0.00001544055,0.000012115346,0.000019540734],"domain_scores_gemma":[0.9998517,0.000034156525,0.000031194562,0.000012162286,0.000048058617,0.000022731763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016506844,0.00040039155,0.00018348341,0.0006146389,0.00020774081,0.00043804414,0.00030960323,0.00026008874,0.00051747466],"category_scores_gemma":[0.0003354734,0.00013509966,0.00034633267,0.00051900477,0.00009856148,0.00025896708,0.00016165782,0.00031169562,0.00025522462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005506397,0.00029200164,0.65360385,0.00025844833,0.00021969836,0.0013620096,0.00048029068,0.26746646,0.015305513,0.00072277646,0.004899507,0.054838877],"study_design_scores_gemma":[0.00004207709,0.000285654,0.60340697,0.000026507967,0.00009281123,0.00020554264,0.0007431292,0.38531527,0.00646227,0.00022308997,0.0031459513,0.000050727896],"about_ca_topic_score_codex":0.038783103,"about_ca_topic_score_gemma":0.05800063,"teacher_disagreement_score":0.038783103,"about_ca_system_score_codex":0.0004953433,"about_ca_system_score_gemma":0.0005337689,"threshold_uncertainty_score":0.0771147},"labels":[],"label_agreement":null},{"id":"W2966152983","doi":"10.14741/ijcet/v.9.3.9","title":"Centralized Power Generation of Solar Parks using Wireless Controlling","year":2019,"lang":"en","type":"article","venue":"International Journal of Current Engineering and Technology","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Tracking (education); Process (computing); Power (physics); Solar power; Torque; Track (disk drive); Wireless; SIGNAL (programming language); Computer science; Solar energy; Tracking system; Real-time computing; Automotive engineering; Control theory (sociology); Electrical engineering; Engineering; Artificial intelligence; Mechanical engineering; Telecommunications; Physics; Control (management)","score_opus":0.014107736387035238,"score_gpt":0.2597071253008973,"score_spread":0.24559938891386204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966152983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13642275,0.0007949128,0.8365571,0.0001944849,0.0001422441,0.0001227083,0.00014640587,0.0011325261,0.024486937],"genre_scores_gemma":[0.9869878,0.00009418485,0.009712505,0.000013186631,0.000020733141,0.000026236503,0.00003658265,0.0000133700805,0.0030954324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998115,0.00002758671,0.000006846539,0.000070347654,0.000058095655,0.000025722962],"domain_scores_gemma":[0.999841,0.000033723347,0.000034666486,0.000030880772,0.000046368496,0.000013301988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016121235,0.00031531512,0.0004523635,0.00023853012,0.00036352838,0.0006962349,0.00085555494,0.00022616574,0.003085104],"category_scores_gemma":[0.00027696104,0.00016546823,0.00019698658,0.0006869029,0.00021367517,0.00050632143,0.00040543327,0.0003013297,0.00050506595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000416374,0.0002513684,0.0033530921,0.00041758348,0.00009809821,0.0007330248,0.00022861129,0.4547121,0.051521473,0.019812979,0.008124434,0.46033084],"study_design_scores_gemma":[0.000061870014,0.0003327073,0.0015411492,0.000022538374,0.00004095048,0.00021131501,0.00010938055,0.96929663,0.015947504,0.005803957,0.006617338,0.000014633908],"about_ca_topic_score_codex":0.0010333719,"about_ca_topic_score_gemma":0.0017555701,"teacher_disagreement_score":0.003085104,"about_ca_system_score_codex":0.0003036304,"about_ca_system_score_gemma":0.00027848463,"threshold_uncertainty_score":0.010320723},"labels":[],"label_agreement":null},{"id":"W4246828971","doi":"10.14741/ijcet/22774106/7.1.2017.40","title":"An Experimental Study on performance and emission characteristics of multi cylinder CRDI diesel engine fueled with Ethanol, Acid oil based Biodiesel and Diesel blends","year":2011,"lang":"en","type":"article","venue":"International Journal of Current Engineering and Technology","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Biodiesel; Diesel fuel; Diesel engine; Ethanol; Biofuel; Cylinder; Pulp and paper industry; Waste management; Materials science; Automotive engineering; Chemistry; Organic chemistry; Catalysis; Engineering; Mechanical engineering","score_opus":0.0259689445284195,"score_gpt":0.26625594681284775,"score_spread":0.24028700228442826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246828971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976047,0.00021360737,0.0013424966,0.0000140709135,0.000014308454,0.000015666998,0.00015689118,0.000029974037,0.0006083196],"genre_scores_gemma":[0.9958462,0.000290272,0.0016323512,0.000013081307,0.000003945613,0.00002623033,0.0003074122,0.000012051776,0.0018684877],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997029,0.000022559638,0.000023794935,0.00006161434,0.00014390639,0.00004509276],"domain_scores_gemma":[0.9997085,0.000084257445,0.000048939783,0.00002622545,0.000113212234,0.000018874283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025305478,0.00042393725,0.00034405832,0.000291529,0.0002810519,0.00024713954,0.0004471191,0.00043571426,0.0012708779],"category_scores_gemma":[0.00029230633,0.00017492787,0.0003018743,0.00028048948,0.00017000381,0.00037106642,0.00018960131,0.0003141111,0.00027084147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007880281,0.00036506954,0.0035667752,0.00022638585,0.000017543201,0.00016657881,0.00010413405,0.0010399161,0.98869926,0.000057983878,0.0000504488,0.004917861],"study_design_scores_gemma":[0.00001250836,0.0018459865,0.010215859,0.000009173314,0.000026258997,0.00012513735,0.00008185135,0.0017648905,0.9852072,0.000018168896,0.00067889976,0.0000139498],"about_ca_topic_score_codex":0.0014326192,"about_ca_topic_score_gemma":0.0018771716,"teacher_disagreement_score":0.0014326192,"about_ca_system_score_codex":0.00021904739,"about_ca_system_score_gemma":0.00016388734,"threshold_uncertainty_score":0.0042515397},"labels":[],"label_agreement":null},{"id":"W4285473125","doi":"10.14741/ijcet/v.11.2.11","title":"Assessment of Drinking Water of Al-Abbasia River using Water Quality Index","year":2021,"lang":"en","type":"article","venue":"International Journal of Current Engineering and Technology","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Water quality; Total dissolved solids; Environmental science; Raw water; Hydrology (agriculture); Suspended solids; Pollution; Sulfate; Chloride; Environmental engineering; Environmental chemistry; Wastewater; Chemistry; Metallurgy; Geology; Materials science","score_opus":0.02464939887824931,"score_gpt":0.3322945832561699,"score_spread":0.3076451843779206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285473125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98670805,0.0010047167,0.0024278855,0.00021811009,0.000020736517,0.00011623133,0.000891645,0.00006190338,0.008550902],"genre_scores_gemma":[0.99052775,0.0007933975,0.0043159197,0.000080458005,0.000014124717,0.000056870576,0.00078654673,0.000009320736,0.0034156374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958926,0.000045236913,0.000031491763,0.000068313,0.00023038319,0.000035380544],"domain_scores_gemma":[0.99979323,0.000017436923,0.00004657182,0.00000593055,0.00012579116,0.000011083636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038894347,0.00025460776,0.00027887625,0.0010815134,0.00035311107,0.0007587145,0.00017758692,0.00028280306,0.00087098585],"category_scores_gemma":[0.00042585842,0.00016387984,0.00027690086,0.00150236,0.0001718353,0.0002777652,0.00033042888,0.00025361587,0.00019086285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028685713,0.0002993477,0.7019076,0.0007651073,0.00022250545,0.0010632983,0.003754889,0.0026021216,0.10032364,0.0008124549,0.0038519993,0.18411022],"study_design_scores_gemma":[0.000020794318,0.0004020002,0.9557828,0.00008109347,0.00009636336,0.00044301024,0.0020889784,0.0060470263,0.017145222,0.0005622318,0.017288182,0.00004233137],"about_ca_topic_score_codex":0.016113304,"about_ca_topic_score_gemma":0.033808924,"teacher_disagreement_score":0.016113304,"about_ca_system_score_codex":0.0006066354,"about_ca_system_score_gemma":0.0005619668,"threshold_uncertainty_score":0.032039046},"labels":[],"label_agreement":null},{"id":"W4285654064","doi":"10.14741/ijcet/v.10.5.6","title":"Prediction Rainfall in 2020 in Telangana","year":2020,"lang":"en","type":"article","venue":"International Journal of Current Engineering and Technology","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fast Fourier transform; Linear regression; Statistics; Artificial neural network; Root mean square; Value (mathematics); Mathematics; Regression; Mean squared error; Power (physics); Series (stratigraphy); Econometrics; Computer science; Algorithm; Artificial intelligence; Engineering; Geology; Electrical engineering","score_opus":0.011113092007457224,"score_gpt":0.2151301442501081,"score_spread":0.20401705224265088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285654064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253243,0.00014586511,0.0015293423,0.00020217922,0.00002208179,0.000017078642,0.0021907913,0.00015856279,0.0032015664],"genre_scores_gemma":[0.9963528,0.00009758019,0.0008924627,0.00001636602,0.0000060649413,0.000012471052,0.0016628586,0.000005112353,0.0009543313],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99996674,0.0000055701626,0.0000022584657,0.0000113102415,0.0000064763444,0.000007684552],"domain_scores_gemma":[0.99993396,0.000014195581,0.000010866664,0.0000024878393,0.000028722088,0.000009734797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010584035,0.00022520046,0.00009397082,0.00045337062,0.00013953878,0.00028137202,0.0001712156,0.0002533039,0.00097350153],"category_scores_gemma":[0.00018070526,0.00006974675,0.00013638832,0.0004806304,0.00006631039,0.00025400112,0.00012530848,0.00018369366,0.00024252957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053239777,0.00025870276,0.61209846,0.00035605978,0.00016109183,0.0021871836,0.0005323523,0.24787165,0.020891132,0.0021958426,0.00812446,0.104790695],"study_design_scores_gemma":[0.00004793862,0.00027493713,0.4911746,0.000056519177,0.00007344755,0.00034457297,0.0013592204,0.48964712,0.009204428,0.0010201846,0.006752626,0.000044406348],"about_ca_topic_score_codex":0.016452327,"about_ca_topic_score_gemma":0.03109397,"teacher_disagreement_score":0.016452327,"about_ca_system_score_codex":0.0005075843,"about_ca_system_score_gemma":0.0002827691,"threshold_uncertainty_score":0.032713115},"labels":[],"label_agreement":null}]}