{"meta":{"query_hash":"e86819ed75a4","filters":{"venue":"ASCE OPEN Multidisciplinary Journal of Civil Engineering"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/e86819ed75a4","api":"https://metacan.xera.ac/api/v1/cohort?venue=ASCE+OPEN+Multidisciplinary+Journal+of+Civil+Engineering"},"results":[{"id":"W4392265612","doi":"10.1061/aomjah.aoeng-0021","title":"3D Dense Reconstruction for Structural Defect Quantification","year":2024,"lang":"en","type":"article","venue":"ASCE OPEN Multidisciplinary Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Computational biology; Biology","score_opus":0.014642071243892139,"score_gpt":0.27666276789167643,"score_spread":0.26202069664778427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392265612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6312091,0.0042594746,0.35089475,0.000069678106,0.012073236,0.0005909819,0.000023127268,0.00024431868,0.00063534593],"genre_scores_gemma":[0.9679382,0.00013692938,0.03094124,0.0000013613353,0.0008407729,0.000020383053,0.0000061687406,0.000075522206,0.000039466442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998808,0.000012839416,0.00053867674,0.00017811761,0.00015785256,0.00030449717],"domain_scores_gemma":[0.99936223,0.00014356796,0.000084029634,0.00017590514,0.0001380985,0.00009618534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045940364,0.00023025706,0.00030110357,0.00026998477,0.00010349466,0.00027606945,0.00035048948,0.00009805671,0.000023857809],"category_scores_gemma":[0.0000659729,0.00020459498,0.00021200044,0.00022470216,0.000019423635,0.0010527535,0.00006711869,0.00035636022,0.0000053778467],"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":[0.00007561932,0.000006760381,0.00039335774,0.0005993894,0.00034113522,0.00006179723,0.001036007,0.85237616,0.08524565,0.0006678443,0.00069834804,0.05849795],"study_design_scores_gemma":[0.00075836154,0.00017247662,0.003444728,0.0014155034,0.00015936351,0.0016766257,0.00033133267,0.9704996,0.016362002,0.00086467736,0.0037968704,0.00051849533],"about_ca_topic_score_codex":0.0000025979248,"about_ca_topic_score_gemma":0.000017665056,"teacher_disagreement_score":0.33672908,"about_ca_system_score_codex":0.00018529859,"about_ca_system_score_gemma":0.000051690953,"threshold_uncertainty_score":0.8343141},"labels":[],"label_agreement":null},{"id":"W4399397033","doi":"10.1061/aomjah.aoeng-0033","title":"Balancing Environmental and Economic Objectives for In-Stream Construction Projects: A Case Study on Sediment Management","year":2024,"lang":"en","type":"article","venue":"ASCE OPEN Multidisciplinary Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Okanagan College","funders":"","keywords":"Sediment; Business; Environmental resource management; Environmental science; Environmental planning; Natural resource economics; Geology; Economics","score_opus":0.03622949734170571,"score_gpt":0.34037390703648773,"score_spread":0.304144409694782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399397033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945783,0.00019959769,0.0020889444,0.00010159023,0.0010283251,0.0011141908,0.000009650771,0.000013036656,0.0008663549],"genre_scores_gemma":[0.9969592,0.000067597335,0.002663168,0.0000029438158,0.00010380267,0.000052842548,7.492447e-7,0.000016404287,0.00013325608],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983536,0.000048804595,0.00072309474,0.00037180254,0.00031442186,0.0001882564],"domain_scores_gemma":[0.9991808,0.00035989922,0.00018560498,0.00019030075,0.00001786545,0.00006551097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021097069,0.00018065047,0.00029441025,0.0008382575,0.0001278259,0.00047354825,0.00030675298,0.000030537623,0.000052883413],"category_scores_gemma":[0.000024643829,0.00014632115,0.000079746125,0.00020021449,0.000033838303,0.0010673729,0.00035690947,0.00018288691,0.000009259629],"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":[0.0012833808,0.0011826064,0.3334121,0.00045530798,0.001360005,0.009178456,0.044475235,0.13176058,0.00153895,0.002792111,0.00060117577,0.47196007],"study_design_scores_gemma":[0.010495769,0.0046517355,0.16476409,0.0014864714,0.00033539877,0.0148040755,0.35622048,0.4388919,0.00071401946,0.0016901158,0.00466534,0.0012806134],"about_ca_topic_score_codex":0.000017331411,"about_ca_topic_score_gemma":0.0001464353,"teacher_disagreement_score":0.47067946,"about_ca_system_score_codex":0.00021999051,"about_ca_system_score_gemma":0.000039430266,"threshold_uncertainty_score":0.59668034},"labels":[],"label_agreement":null},{"id":"W4414891249","doi":"10.1061/aomjah.aoeng-0080","title":"Deep Learning in Earthquake Engineering: A Comprehensive Review","year":2025,"lang":"en","type":"article","venue":"ASCE OPEN Multidisciplinary Journal of Civil Engineering","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Interpretability; Feature engineering; Deep learning; Convolutional neural network; Artificial neural network; Generative grammar; Scope (computer science); Feature (linguistics); Earthquake engineering","score_opus":0.015154759354488158,"score_gpt":0.27773981219911587,"score_spread":0.2625850528446277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414891249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1209622,0.18054065,0.6809411,0.009847745,0.0029224306,0.0011330171,9.503012e-7,0.00020313518,0.0034487431],"genre_scores_gemma":[0.97009826,0.00679558,0.022654945,0.00018982792,0.000054763797,0.000017610326,9.224192e-7,0.000017435757,0.00017066549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9983498,0.00008821649,0.00070677215,0.00027063143,0.00020650233,0.00037809278],"domain_scores_gemma":[0.99878854,0.00040516275,0.00021241992,0.00031225686,0.00018890572,0.00009273457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081321166,0.00024475539,0.0006606321,0.00041075502,0.00011890665,0.00009392582,0.0013771785,0.00007791029,0.000014044441],"category_scores_gemma":[0.00031620593,0.00023111675,0.00014889085,0.00088168867,0.000025332754,0.0008170142,0.001061156,0.00075247535,0.000011125502],"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":[0.000049014172,0.00017340516,0.007610084,0.001275049,0.00032838449,0.000847335,0.0018144681,0.94113934,0.00051546784,0.004283986,0.0006809307,0.04128255],"study_design_scores_gemma":[0.0026647407,0.00043316136,0.49270806,0.011820422,0.00007994228,0.00065327476,0.0002942281,0.4546551,0.00018846916,0.00039611582,0.035344426,0.00076206296],"about_ca_topic_score_codex":0.00000828927,"about_ca_topic_score_gemma":0.000029689269,"teacher_disagreement_score":0.84913605,"about_ca_system_score_codex":0.000059333408,"about_ca_system_score_gemma":0.00009820708,"threshold_uncertainty_score":0.94246674},"labels":[],"label_agreement":null}]}