{"meta":{"query_hash":"aa35a8bb79c7","filters":{"venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"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/aa35a8bb79c7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Iranian+Journal+of+Science+and+Technology+Transactions+of+Civil+Engineering"},"results":[{"id":"W2229847585","doi":"10.22099/ijstc.2015.3520","title":"EFFECTS OF OPEN-CHANNEL GEOMETRY ON FLOW PATTERN IN A 90° JUNCTION","year":2015,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sedimentation; Open-channel flow; Flow (mathematics); Mechanics; Channel (broadcasting); Erosion; Materials science; Flow velocity; Reduction (mathematics); Geometry; Geology; Geotechnical engineering; Computer science; Mathematics; Sediment; Geomorphology; Physics; Telecommunications","score_opus":0.006430572493275412,"score_gpt":0.19665541543397502,"score_spread":0.1902248429406996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2229847585","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":[0.9982153,0.000044668835,0.00063493697,0.000018867064,0.00001794947,0.0000044336416,0.000039671733,0.00005384494,0.0009702573],"genre_scores_gemma":[0.99965215,0.00001946677,0.000097182296,0.0000037629627,0.0000019129402,0.0000014628579,0.000022026723,0.0000049316864,0.0001971173],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973136,0.00003682888,0.000010971812,0.000067332454,0.00005077898,0.00010277975],"domain_scores_gemma":[0.9992853,0.00022389636,0.000088819026,0.000045254867,0.0001825607,0.00017412839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569949,0.00023435739,0.0005088516,0.00034861127,0.0006487067,0.00091612514,0.00045324792,0.0005831009,0.002398582],"category_scores_gemma":[0.00072802266,0.00024685718,0.00023876743,0.0003084801,0.0005983274,0.00039288547,0.000475301,0.0004112098,0.0003432195],"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":[0.005782528,0.0019005649,0.06992851,0.00021356004,0.00012679757,0.0039333007,0.0006335056,0.2112216,0.6804329,0.0031586231,0.0018631062,0.020804957],"study_design_scores_gemma":[0.00034227662,0.0033182988,0.2055591,0.0000557427,0.00038844542,0.00064571557,0.0029890605,0.475,0.30769104,0.0011952531,0.0025805184,0.0002345902],"about_ca_topic_score_codex":0.0035917077,"about_ca_topic_score_gemma":0.0030631039,"teacher_disagreement_score":0.0035917077,"about_ca_system_score_codex":0.0004610489,"about_ca_system_score_gemma":0.000683151,"threshold_uncertainty_score":0.008024037},"labels":[],"label_agreement":null},{"id":"W2735794055","doi":"10.1007/s40996-017-0068-x","title":"A New Approach for Parameter Estimation of Autoregressive Models Using Adaptive Network-Based Fuzzy Inference System (ANFIS)","year":2017,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Davis; Ryerson University","keywords":"Adaptive neuro fuzzy inference system; Fuzzy inference system; Autoregressive model; Inference; Computer science; Estimation; Artificial intelligence; Inference system; Estimation theory; Machine learning; Fuzzy logic; Econometrics; Mathematics; Fuzzy control system; Engineering; Algorithm","score_opus":0.030161834974819973,"score_gpt":0.24751876755017352,"score_spread":0.21735693257535355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735794055","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026973318,0.00019890282,0.9962291,0.000036873626,0.00004607093,0.000019335666,0.000012767267,0.00015436343,0.0006051323],"genre_scores_gemma":[0.32246307,0.0007413388,0.672028,0.00009602121,0.00015370187,0.00018759904,0.00014253108,0.00005941347,0.0041283406],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996499,0.00006486063,0.00003507023,0.00009600692,0.00013408005,0.000020117732],"domain_scores_gemma":[0.9997358,0.00011205331,0.000028592496,0.000015572965,0.00009963034,0.00000836272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006685688,0.000748454,0.00072935247,0.0006247935,0.0004369627,0.0006519694,0.0010067443,0.0010552478,0.001315958],"category_scores_gemma":[0.0011960645,0.00037556372,0.00072959403,0.00045259963,0.0003006926,0.0010212162,0.0004981974,0.0012963915,0.00032590746],"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":[0.00012510216,0.00012755084,0.0009799374,0.00031154882,0.00019979058,0.0002724938,0.00029004365,0.46513885,0.03051697,0.012431184,0.0016754613,0.4879311],"study_design_scores_gemma":[0.000006180047,0.00002734739,0.0001839751,0.000012947865,0.000020973132,0.000041066687,0.000011044456,0.9952809,0.0018872372,0.0013036256,0.001213947,0.0000106247435],"about_ca_topic_score_codex":0.006863495,"about_ca_topic_score_gemma":0.0068549584,"teacher_disagreement_score":0.006863495,"about_ca_system_score_codex":0.00034184943,"about_ca_system_score_gemma":0.0005367241,"threshold_uncertainty_score":0.0136470795},"labels":[],"label_agreement":null},{"id":"W2900604097","doi":"10.1007/s40996-018-0200-6","title":"Effects of Emergent Vegetation Patterns on Flow Velocity, Turbulence, and Erosion Around River Banks","year":2018,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Department of Environmental Protection of Shandong Province; China Scholarship Council","keywords":"Vegetation (pathology); Turbulence; Turbulence kinetic energy; Erosion; Hydrology (agriculture); Flow (mathematics); Environmental science; Flow velocity; Geology; Ecology; Geography; Geomorphology; Geometry; Geotechnical engineering; Meteorology","score_opus":0.0036215894842392977,"score_gpt":0.18808582497372614,"score_spread":0.18446423548948684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900604097","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":[0.9997886,0.00000539015,0.000036777565,0.0000056158965,9.1137997e-7,6.612351e-7,0.0000124886865,0.0000014019456,0.00014812344],"genre_scores_gemma":[0.99990714,0.000005635357,0.000023590119,0.0000015499315,6.8642873e-7,5.187874e-7,0.00001630514,6.196171e-7,0.00004386814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998857,0.000023384238,0.0000074986406,0.00002215365,0.00001551983,0.000045818928],"domain_scores_gemma":[0.9991934,0.00039415012,0.00010583397,0.00004132472,0.00009638774,0.0001688669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018329229,0.0001113866,0.00018319917,0.0002708722,0.00037284681,0.00061409164,0.00013889614,0.0002103906,0.0011561727],"category_scores_gemma":[0.0012933612,0.00014558579,0.00021239449,0.00021886136,0.0004293742,0.00027756958,0.0003293225,0.00033760007,0.00008938309],"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":[0.00069708336,0.00025905555,0.96558875,0.000027347724,0.00008910956,0.0005623504,0.0005534279,0.008059193,0.015527852,0.0003077247,0.00021338512,0.0081147645],"study_design_scores_gemma":[0.000008053393,0.00005622772,0.9942116,0.0000022926788,0.000016146412,0.000048442813,0.00048008634,0.0047379294,0.0003020561,0.00008152432,0.000050818202,0.0000047387402],"about_ca_topic_score_codex":0.008936807,"about_ca_topic_score_gemma":0.016486753,"teacher_disagreement_score":0.008936807,"about_ca_system_score_codex":0.00034533552,"about_ca_system_score_gemma":0.00045321355,"threshold_uncertainty_score":0.017769575},"labels":[],"label_agreement":null},{"id":"W2949541989","doi":"10.1007/s40996-019-00274-y","title":"A Numerical Investigation on the Effect of Panel Zones on Cyclic Lateral Capacity of Steel Moment Frames","year":2019,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Moment (physics); Structural engineering; Panel data; Frame (networking); Finite element method; Nonlinear system; Geology; Engineering; Mathematics; Econometrics; Physics; Mechanical engineering","score_opus":0.008891414440864817,"score_gpt":0.18680369789593765,"score_spread":0.17791228345507282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949541989","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":[0.9896304,0.00014843959,0.003973501,0.00005935344,0.00001878127,0.0000103895245,0.00010422398,0.000047883415,0.0060070553],"genre_scores_gemma":[0.9992249,0.00003105285,0.00048209503,0.0000033828067,0.0000020024452,0.0000024179888,0.0000142956005,0.000004005492,0.00023583052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981815,0.000048031485,0.000008532731,0.000027905746,0.00004730798,0.000050076855],"domain_scores_gemma":[0.9985,0.0010536544,0.00014858885,0.00007723288,0.000166511,0.00005410958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037099476,0.00032682501,0.00040297818,0.00072445493,0.0004670898,0.0004947395,0.00064831023,0.00083148264,0.0034312897],"category_scores_gemma":[0.0020851982,0.00027900125,0.00042734088,0.00063109247,0.00061643316,0.00054382643,0.00028520098,0.00029128394,0.00011083089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030069615,0.00016540963,0.005758942,0.000120670185,0.000027234206,0.00029916473,0.00009966458,0.96675104,0.017623287,0.0011904112,0.0003171006,0.0073464615],"study_design_scores_gemma":[0.000014741001,0.00013197747,0.005111862,0.000012318001,0.00003601305,0.000038502512,0.00012132761,0.9895543,0.0045704097,0.0001749398,0.00021750112,0.000016161253],"about_ca_topic_score_codex":0.009107748,"about_ca_topic_score_gemma":0.00801528,"teacher_disagreement_score":0.009107748,"about_ca_system_score_codex":0.0004307529,"about_ca_system_score_gemma":0.00035105803,"threshold_uncertainty_score":0.01810944},"labels":[],"label_agreement":null},{"id":"W3119726591","doi":"10.1007/s40996-020-00477-8","title":"Two-Reservoir Problems: Revisited","year":2021,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite volume method; Shallow water equations; Flow (mathematics); Shock (circulatory); Finite difference; Shock wave; Channel (broadcasting); Computer science; Applied mathematics; Mathematics; Mechanics; Physics; Mathematical analysis","score_opus":0.004701620494849056,"score_gpt":0.19834408463727904,"score_spread":0.19364246414242997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119726591","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":[0.25411004,0.0135276625,0.31555167,0.10738825,0.0076350356,0.00022465357,0.0011795931,0.00048834295,0.29989475],"genre_scores_gemma":[0.90393317,0.003372932,0.031227048,0.0035562736,0.0029656647,0.00013954587,0.00039788568,0.00020714983,0.05420037],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938214,0.00023936255,0.000029638579,0.00012799147,0.000110127716,0.00011071036],"domain_scores_gemma":[0.9969445,0.0016574338,0.00037773777,0.00020505111,0.0003460361,0.00046925517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013742724,0.000787137,0.0018317953,0.0012247011,0.0016266351,0.0035769513,0.0040096003,0.007974769,0.013400905],"category_scores_gemma":[0.010099502,0.00073670445,0.0014466716,0.0015388876,0.0035278276,0.0079440875,0.004335615,0.00399738,0.0008030908],"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":[0.00013702225,0.00013774546,0.0011277299,0.00027980463,0.00007796637,0.00089290267,0.00012309494,0.09452254,0.00048456452,0.8719489,0.020225389,0.010042311],"study_design_scores_gemma":[0.000180289,0.00004023973,0.00079019635,0.000076487035,0.000033622553,0.00032868955,0.00021061553,0.4533847,0.0002330798,0.5379868,0.006682082,0.000053156586],"about_ca_topic_score_codex":0.0044889986,"about_ca_topic_score_gemma":0.003384232,"teacher_disagreement_score":0.013400905,"about_ca_system_score_codex":0.0008661948,"about_ca_system_score_gemma":0.0015852895,"threshold_uncertainty_score":0.0448305},"labels":[],"label_agreement":null},{"id":"W3176026179","doi":"10.1007/s40996-021-00695-8","title":"Investigation of Quarter-Circular Crested Spillway Using Experiments and Convex Streamline Theory","year":2021,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spillway; Weir; Quarter (Canadian coin); Engineering; Discharge coefficient; Crest; Geotechnical engineering; Geology; Geometry; Mathematics; Mechanical engineering; Geography; Physics","score_opus":0.008583439578796785,"score_gpt":0.2065749265372173,"score_spread":0.1979914869584205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176026179","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":[0.9953489,0.000033426917,0.0036155977,0.000028428261,0.000007877336,0.00001352565,0.00008968827,0.000056868696,0.0008058312],"genre_scores_gemma":[0.9986773,0.000027184125,0.0010517746,0.0000030381732,0.0000014315924,0.000005029675,0.000035185847,0.000004182228,0.00019489793],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979717,0.000032586442,0.000012721688,0.0000516441,0.000053285952,0.000052626943],"domain_scores_gemma":[0.9991666,0.00038617707,0.00009496399,0.0001200526,0.0001636171,0.000068535745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032189625,0.00035233112,0.00038737696,0.00035525145,0.00046337437,0.00046811427,0.00050014775,0.0005353775,0.001558064],"category_scores_gemma":[0.0010304487,0.00020230471,0.00034020256,0.00040927454,0.00062432385,0.00072824646,0.00037108763,0.0005459548,0.000096940166],"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":[0.002120476,0.0015068554,0.0324363,0.00038058596,0.000096583644,0.0017845491,0.0005916652,0.34970605,0.58488405,0.005200121,0.00067878567,0.020613996],"study_design_scores_gemma":[0.00011523786,0.0014356481,0.019102465,0.000013816436,0.000050223283,0.000180619,0.0005401062,0.8787998,0.09807612,0.0010793541,0.00055533793,0.00005135681],"about_ca_topic_score_codex":0.0028684568,"about_ca_topic_score_gemma":0.0022752774,"teacher_disagreement_score":0.0028684568,"about_ca_system_score_codex":0.00031457978,"about_ca_system_score_gemma":0.0006662802,"threshold_uncertainty_score":0.0057035685},"labels":[],"label_agreement":null},{"id":"W3190002321","doi":"10.1007/s40996-021-00713-9","title":"Design Modification for Control of the \"Hydraulique\" Phenomenon Downstream of Low-Head Dam: Case Study—Salmon River Dam","year":2021,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Tailwater; Vortex; Geology; Flow (mathematics); Wedge (geometry); Range (aeronautics); Marine engineering; Geotechnical engineering; Engineering; Environmental science; Geography; Mechanics; Meteorology; Geometry; Mathematics; Physics","score_opus":0.010844054485095705,"score_gpt":0.2222444325170759,"score_spread":0.2114003780319802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190002321","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":[0.34258005,0.00010541638,0.6479533,0.00019577709,0.00010505909,0.0004726039,0.000067443194,0.001131429,0.0073889624],"genre_scores_gemma":[0.9825215,0.000017022023,0.01613543,0.00002419608,0.000010182953,0.00006739163,0.000016784783,0.000013244596,0.0011943118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995012,0.00012930509,0.00003456249,0.00013557986,0.00010212509,0.00009721221],"domain_scores_gemma":[0.9990758,0.00021780317,0.00021073638,0.00008795445,0.00035173833,0.000056039156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000683978,0.00060636835,0.000368496,0.0002920609,0.00045471298,0.0006403789,0.0009784633,0.00093066756,0.002215402],"category_scores_gemma":[0.0011334572,0.00021186798,0.00041587476,0.000119199736,0.00029177647,0.00027819216,0.0004323472,0.00041897438,0.00026597962],"study_design_candidate":"observational","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":[0.0012399708,0.0012954345,0.008284399,0.00065366307,0.00013940535,0.0010486123,0.0005761829,0.4578559,0.3700142,0.0050679054,0.0014876372,0.15233673],"study_design_scores_gemma":[0.00021753473,0.00411011,0.010901702,0.000030319781,0.00023468302,0.00018165777,0.00019244978,0.92576146,0.053477667,0.0008482925,0.0039909678,0.000053131585],"about_ca_topic_score_codex":0.0022201797,"about_ca_topic_score_gemma":0.0021552849,"teacher_disagreement_score":0.0022201797,"about_ca_system_score_codex":0.0002903673,"about_ca_system_score_gemma":0.00063374906,"threshold_uncertainty_score":0.007411301},"labels":[],"label_agreement":null},{"id":"W4214578497","doi":"10.1007/s40996-022-00847-4","title":"Comparison of Performance of the Flat, Trapezoidal and Sinusoidal Steel Plate Shear Walls Under Cyclic Loads","year":2022,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Shear (geology); Shear wall; Structural engineering; Finite element method; Parametric statistics; Composite material; Steel plate shear wall; Stiffness; Engineering; Mathematics","score_opus":0.007508840653467913,"score_gpt":0.21037169028218403,"score_spread":0.20286284962871612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214578497","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":[0.9954724,0.0001881643,0.0027336862,0.000033301363,0.00003281517,0.0000072007715,0.00010355163,0.00009485166,0.0013339157],"genre_scores_gemma":[0.9977906,0.00009621313,0.0005874082,0.000008827275,0.0000054301377,0.0000056239915,0.00010085368,0.000014046797,0.0013910609],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997482,0.00003090684,0.000017471177,0.000033983582,0.00009773612,0.000071724164],"domain_scores_gemma":[0.9985045,0.000554069,0.00016113959,0.0001546316,0.0005030565,0.00012260526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038716983,0.00042834828,0.0004764262,0.0005012581,0.00027538123,0.00041226347,0.00044271725,0.0007799523,0.0031601845],"category_scores_gemma":[0.0014190916,0.00021222705,0.0003520563,0.00037003402,0.0003993587,0.00041834897,0.00030134953,0.00022639507,0.0006305886],"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":[0.0072081485,0.00024187232,0.011464276,0.0005690435,0.00007472517,0.0006263098,0.0005734158,0.07561203,0.832155,0.0006585056,0.0011717796,0.06964498],"study_design_scores_gemma":[0.00012737996,0.010000619,0.09725406,0.00012063797,0.0003325909,0.0005102317,0.0013041276,0.16588518,0.7200821,0.00046547927,0.003786526,0.00013106021],"about_ca_topic_score_codex":0.0011733901,"about_ca_topic_score_gemma":0.0013448886,"teacher_disagreement_score":0.0031601845,"about_ca_system_score_codex":0.00011704774,"about_ca_system_score_gemma":0.00028559717,"threshold_uncertainty_score":0.010571837},"labels":[],"label_agreement":null},{"id":"W4220733805","doi":"10.1007/s40996-022-00860-7","title":"Semi-Analytical Approach for Estimating the Viscoelastic Settlement of a Footing Resting on a Slope","year":2022,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Settlement (finance); Foundation (evidence); Viscoelasticity; Geotechnical engineering; Bearing capacity; Finite element method; Displacement (psychology); Structural engineering; Bearing (navigation); Stress (linguistics); Engineering; Geology; Computer science; Materials science; Geography; Archaeology","score_opus":0.009732102577394418,"score_gpt":0.21578094409071955,"score_spread":0.20604884151332511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220733805","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":[0.15912564,0.00017788996,0.8363434,0.000051849864,0.000038112867,0.00007654973,0.00021310631,0.00057395844,0.003399533],"genre_scores_gemma":[0.90822387,0.00023531776,0.088564366,0.000015312133,0.00003168711,0.00010258098,0.00023931997,0.000031142517,0.0025562947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998934,0.000020565087,0.0000075003436,0.000023231669,0.00004117399,0.000014125809],"domain_scores_gemma":[0.99979216,0.00008709436,0.000030029334,0.000015814963,0.00006183293,0.000013051396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016691884,0.00047171567,0.0004004568,0.0012495421,0.00031912723,0.00060828694,0.0010273977,0.00068672164,0.0015022641],"category_scores_gemma":[0.0006708736,0.0003062933,0.00053198205,0.00066489895,0.00025131926,0.00048597436,0.00047184946,0.00034551232,0.0005444592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011493459,0.00016858417,0.009754927,0.00025397012,0.00006678857,0.00063323125,0.0002648996,0.7928103,0.049558602,0.0035676355,0.00087993674,0.14192605],"study_design_scores_gemma":[0.0000020730224,0.000017038945,0.0012610102,0.00000573161,0.000006220073,0.00005570947,0.000035270245,0.9973326,0.0007172016,0.00041043168,0.0001503245,0.000006373471],"about_ca_topic_score_codex":0.0032721628,"about_ca_topic_score_gemma":0.003040083,"teacher_disagreement_score":0.0032721628,"about_ca_system_score_codex":0.00021698241,"about_ca_system_score_gemma":0.00052393996,"threshold_uncertainty_score":0.006506264},"labels":[],"label_agreement":null},{"id":"W4296101811","doi":"10.1007/s40996-022-00970-2","title":"Deterministic Seismic Stability Analysis of Reinforced Slopes using Pseudo-Static Approach","year":2022,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rocscience (Canada)","funders":"","keywords":"Ultimate tensile strength; Geotechnical engineering; Acceleration; Geosynthetics; Reinforcement; Failure mechanism; Slope stability; Seismic loading; Materials science; Safety factor; Geology; Structural engineering; Composite material; Engineering; Physics","score_opus":0.010717867978588182,"score_gpt":0.2042043486437779,"score_spread":0.19348648066518973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296101811","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":[0.48472926,0.00051722274,0.5016608,0.0002895665,0.0000629953,0.000042949476,0.00016853499,0.00017762177,0.012351064],"genre_scores_gemma":[0.9943364,0.00012407552,0.003762243,0.00001129788,0.000016707474,0.000018172079,0.000040586016,0.00001706526,0.001673523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985516,0.000040883187,0.000007106764,0.00002567492,0.00004578263,0.00002534233],"domain_scores_gemma":[0.9994937,0.0002346326,0.000104393584,0.000031814267,0.000113011556,0.00002245981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028714054,0.00044331927,0.0006153426,0.0006435071,0.00033145174,0.0005692285,0.0007664235,0.00059544446,0.0012207237],"category_scores_gemma":[0.0011554484,0.0004285776,0.00065815373,0.0004303917,0.00066747,0.0004942938,0.0006033369,0.00038976152,0.00013352488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017732384,0.000010199908,0.00063028187,0.000023210578,0.00001767857,0.00006922001,0.000015954494,0.98915863,0.0012211599,0.0066896155,0.00008205676,0.002064314],"study_design_scores_gemma":[7.597335e-7,0.0000034014847,0.000117063966,7.89796e-7,0.0000018738424,0.00000387339,0.0000023139173,0.99946004,0.000038129554,0.00035014097,0.00002037109,0.0000012745816],"about_ca_topic_score_codex":0.00762612,"about_ca_topic_score_gemma":0.005336939,"teacher_disagreement_score":0.00762612,"about_ca_system_score_codex":0.00061435776,"about_ca_system_score_gemma":0.0006026912,"threshold_uncertainty_score":0.015163481},"labels":[],"label_agreement":null},{"id":"W4379379365","doi":"10.1007/s40996-023-01135-5","title":"Numerical Analysis of Air Injection as a Scour Control Technique in Flow","year":2023,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mechanics; Hydraulic jump; Air entrainment; Airflow; Flow (mathematics); Computational fluid dynamics; Secondary air injection; Computer simulation; Entrainment (biomusicology); Geotechnical engineering; Geology; Materials science; Physics; Thermodynamics","score_opus":0.0032410995507266196,"score_gpt":0.20493163931514802,"score_spread":0.2016905397644214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379379365","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":[0.8583182,0.00093072955,0.10594342,0.00044759203,0.00020777727,0.000121075835,0.000072454575,0.0003063562,0.03365236],"genre_scores_gemma":[0.99429625,0.000085939835,0.0035573593,0.000013671017,0.000010950464,0.0000126016,0.000009371718,0.000010420127,0.0020033985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989176,0.000028085728,0.000004365044,0.000014372913,0.00004170311,0.000019584646],"domain_scores_gemma":[0.9995627,0.00025310586,0.00004627083,0.00001679809,0.000095967596,0.000025289895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025053765,0.00027035567,0.00039233806,0.000518775,0.0004782957,0.00070860534,0.0004617447,0.000831188,0.0017716553],"category_scores_gemma":[0.0010156981,0.00017754543,0.00034455233,0.0003480817,0.0008198239,0.00045619498,0.00031970855,0.00034215397,0.00009843881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032827235,0.00020160936,0.0021647771,0.00012770797,0.00002314402,0.00015114597,0.00008186485,0.9397793,0.03406346,0.008560851,0.00039656233,0.014121384],"study_design_scores_gemma":[0.0000052117107,0.000024044435,0.00020957687,0.000001486179,0.000002414873,0.0000044553894,0.000007044615,0.9984124,0.001127881,0.00011787024,0.0000851109,0.0000024031424],"about_ca_topic_score_codex":0.007997972,"about_ca_topic_score_gemma":0.0035635876,"teacher_disagreement_score":0.007997972,"about_ca_system_score_codex":0.00050978997,"about_ca_system_score_gemma":0.000536076,"threshold_uncertainty_score":0.015902817},"labels":[],"label_agreement":null},{"id":"W4399031035","doi":"10.1007/s40996-024-01477-8","title":"The Taylor Diagram with Distance: A New Way to Compare the Performance of Models","year":2024,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Diagram; Computer science; Statistical physics; Mathematics; Statistics; Physics","score_opus":0.025450875399675055,"score_gpt":0.2929853120254027,"score_spread":0.2675344366257276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399031035","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0924474,0.0016992164,0.8917909,0.00054284383,0.0005159043,0.00022974254,0.0009733884,0.001102311,0.010698254],"genre_scores_gemma":[0.66781837,0.0010186752,0.32561463,0.00018867504,0.00021198622,0.000558749,0.0014519437,0.00076637516,0.0023705324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9883266,0.007430585,0.00061689573,0.00071628205,0.0026398199,0.00026976355],"domain_scores_gemma":[0.93408746,0.053477887,0.0022871417,0.005124953,0.0043708207,0.0006517048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012882853,0.001177767,0.0020069182,0.0060485625,0.00060212857,0.0026419822,0.0016247403,0.00199555,0.004438202],"category_scores_gemma":[0.0764161,0.00035696605,0.001636536,0.0031083256,0.0014169661,0.007265832,0.0029845738,0.0022775505,0.0008619432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002259894,0.00067665626,0.018590534,0.0014844567,0.0012845041,0.0002082566,0.0012763507,0.48319337,0.006529567,0.23820233,0.0111869555,0.23510708],"study_design_scores_gemma":[0.00014364244,0.0013909496,0.0032127101,0.00011758275,0.00018234337,0.00015801964,0.0004821271,0.9055046,0.0034826924,0.07817021,0.0070182816,0.00013680116],"about_ca_topic_score_codex":0.0023189313,"about_ca_topic_score_gemma":0.0012211918,"teacher_disagreement_score":0.012882853,"about_ca_system_score_codex":0.001311979,"about_ca_system_score_gemma":0.0012604232,"threshold_uncertainty_score":0.068131864},"labels":[],"label_agreement":null},{"id":"W4410985615","doi":"10.1007/s40996-025-01849-8","title":"Comparison Between the Efficiencies of Reverse Osmosis Membrane and Carboxyl Multi-Walled Carbon Nanotubes in Copper Ions (Cu2+) Removal from Synthesized Wastewater","year":2025,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Reverse osmosis; Copper; Wastewater; Membrane; Carbon nanotube; Ion; Osmosis; Materials science; Chemistry; Chemical engineering; Inorganic chemistry; Nanotechnology; Metallurgy; Organic chemistry; Environmental engineering; Environmental science","score_opus":0.011209363228457045,"score_gpt":0.2329719368400845,"score_spread":0.22176257361162743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410985615","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":[0.99767524,0.0005125695,0.000923059,0.000028812918,0.000021727259,0.000007484404,0.00010057742,0.000027694634,0.0007027119],"genre_scores_gemma":[0.9961528,0.00042604288,0.0014065539,0.000019517034,0.000006072845,0.000015107275,0.0001840838,0.0000109825305,0.0017787374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970055,0.00003487406,0.000036958834,0.00005129191,0.00011737287,0.00005894009],"domain_scores_gemma":[0.9997137,0.00007236187,0.000040753315,0.000020401612,0.00013284874,0.000019829631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811532,0.0003208683,0.0002610982,0.0002939731,0.00022348113,0.0003040171,0.00033769183,0.00053857616,0.0007860958],"category_scores_gemma":[0.00043824833,0.00017521734,0.00044960805,0.00026405902,0.00014761984,0.00038245355,0.00018069871,0.00030311267,0.00022197633],"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":[0.00028966847,0.00003621752,0.00037119893,0.0001344982,0.000016402995,0.00004338379,0.000037455273,0.0004542768,0.99474466,0.00006810787,0.00006752715,0.0037365584],"study_design_scores_gemma":[0.0000043925356,0.00013018581,0.0010331349,0.0000026473672,0.000014742036,0.000018047976,0.00001798672,0.0010338424,0.99732363,0.000009493479,0.00040807904,0.000003745079],"about_ca_topic_score_codex":0.0018157554,"about_ca_topic_score_gemma":0.0031070316,"teacher_disagreement_score":0.0018157554,"about_ca_system_score_codex":0.00030390144,"about_ca_system_score_gemma":0.00023330239,"threshold_uncertainty_score":0.003610313},"labels":[],"label_agreement":null},{"id":"W4411577206","doi":"10.1007/s40996-025-01933-z","title":"Utilizing Machine Learning Algorithms and Regression Techniques to Develop Pavement Performance Indices for Dry Freeze Climate Regions","year":2025,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Civil Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Regression; Regression analysis; Machine learning; Algorithm; Computer science; Artificial intelligence; Environmental science; Mathematics; Statistics","score_opus":0.016150357033339,"score_gpt":0.23981353262520153,"score_spread":0.22366317559186252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411577206","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":[0.7729389,0.00037316667,0.22144477,0.00009370013,0.000042764943,0.00011859557,0.0009802468,0.0009613514,0.00304646],"genre_scores_gemma":[0.95075226,0.00009540983,0.047484163,0.000011190142,0.00001010812,0.00005027428,0.00084086816,0.000038593345,0.00071712624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972755,0.00005898757,0.0000315657,0.000069087415,0.00007358962,0.00003925797],"domain_scores_gemma":[0.9990268,0.00031225165,0.0002013268,0.000057175588,0.0003703461,0.000032190757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000852801,0.00075128523,0.0005518997,0.0032460499,0.0002939821,0.0010563935,0.00054797315,0.0005608233,0.00079566886],"category_scores_gemma":[0.0021200436,0.00022085027,0.00068708917,0.001883687,0.00015441225,0.0009304703,0.00030818288,0.0005870459,0.00035575475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012518262,0.00036424017,0.11019276,0.00014263415,0.0002495615,0.00009576489,0.00008858375,0.6788437,0.017094208,0.00095050037,0.0011657142,0.19068709],"study_design_scores_gemma":[0.0000053565195,0.00006654453,0.043420095,0.000012000421,0.000044389006,0.000024601812,0.00007379836,0.95084697,0.0045665745,0.00043677862,0.0004862999,0.000016559316],"about_ca_topic_score_codex":0.0100045465,"about_ca_topic_score_gemma":0.01256541,"teacher_disagreement_score":0.0100045465,"about_ca_system_score_codex":0.0005790559,"about_ca_system_score_gemma":0.00058758835,"threshold_uncertainty_score":0.019892633},"labels":[],"label_agreement":null}]}