{"meta":{"query_hash":"dad86595a18f","filters":{"venue":"Korean Journal of Construction Engineering and Management"},"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/dad86595a18f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Korean+Journal+of+Construction+Engineering+and+Management"},"results":[{"id":"W2037172886","doi":"10.6106/kjcem.2014.15.4.107","title":"A Study on Developing the Business Index of Electrical Construction Business","year":2014,"lang":"en","type":"article","venue":"Korean Journal of Construction Engineering and Management","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":1,"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":"Index (typography); Quarter (Canadian coin); Business cycle; Construction industry; Business; Pessimism; Housing industry; Engineering; Computer science; Economics; Construction engineering; Telecommunications; Geography","score_opus":0.01022902370105693,"score_gpt":0.23243182889411892,"score_spread":0.222202805193062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037172886","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":[0.91972554,0.0019306807,0.015487049,0.0014420702,0.00016430815,0.0005144273,0.00088638486,0.00007442412,0.05977506],"genre_scores_gemma":[0.97498757,0.0015533342,0.017208999,0.00013545089,0.00006437394,0.00032549733,0.0009914151,0.000016047856,0.004717267],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99720156,0.0009919831,0.00027626328,0.00028405292,0.0010665449,0.00017957277],"domain_scores_gemma":[0.9926192,0.0028747336,0.0008167916,0.0002638551,0.0030110548,0.00041435735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003921283,0.00045257312,0.00027011117,0.0047174287,0.0008319835,0.0024837472,0.00042112003,0.00036386575,0.0020798005],"category_scores_gemma":[0.009349139,0.00020229565,0.0006416178,0.007103128,0.0004955362,0.0029532812,0.00079799886,0.0008877596,0.0004780434],"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":[0.00017968638,0.00068559794,0.74158406,0.0004566477,0.00010820257,0.00035390092,0.0037473917,0.0015648144,0.003448847,0.017936036,0.006513932,0.22342086],"study_design_scores_gemma":[0.000055678334,0.0011233682,0.87793046,0.00050589815,0.00023671091,0.0005534424,0.02577017,0.023066286,0.011529374,0.005619088,0.05351167,0.00009786718],"about_ca_topic_score_codex":0.007746031,"about_ca_topic_score_gemma":0.006982358,"teacher_disagreement_score":0.007746031,"about_ca_system_score_codex":0.0023160626,"about_ca_system_score_gemma":0.003292707,"threshold_uncertainty_score":0.020738006},"labels":[],"label_agreement":null},{"id":"W2084990428","doi":"10.6106/kjcem.2010.11.6.35","title":"A Study on Asset Valuation Method for Bridge Asset management","year":2010,"lang":"en","type":"article","venue":"Korean Journal of Construction Engineering and Management","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"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":"Federal Highway Administration; University of Waterloo; U.S. Department of Transportation","keywords":"Valuation (finance); Cost accounting; Business; Asset management; Actuarial science; Risk analysis (engineering); Finance; Accounting","score_opus":0.01129763864544677,"score_gpt":0.26191861069750844,"score_spread":0.2506209720520617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084990428","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":[0.043595314,0.0029941744,0.93671584,0.00050362333,0.00014897865,0.00017579371,0.00007833945,0.0001745678,0.0156132765],"genre_scores_gemma":[0.6559517,0.0040998636,0.3333293,0.00011027989,0.0001912453,0.00028327014,0.00022409775,0.00007118121,0.00573899],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973968,0.0011545441,0.0001614996,0.00026819398,0.0009218752,0.000097108794],"domain_scores_gemma":[0.9966761,0.0019004605,0.00019878322,0.00023692675,0.000912227,0.00007546932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035287696,0.00063300447,0.000508361,0.0018613249,0.00041435342,0.0018816682,0.00093250355,0.00063735584,0.0023590827],"category_scores_gemma":[0.009825689,0.00027709128,0.0006704048,0.0023380404,0.00048653616,0.0032480625,0.00050545944,0.00094715465,0.0002951349],"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":[0.00013740134,0.00017084324,0.011841021,0.00056896417,0.00016491416,0.00043049903,0.0008318666,0.06534352,0.007045672,0.19407877,0.00547321,0.7139134],"study_design_scores_gemma":[0.000047373494,0.00025556338,0.009537429,0.0002606417,0.00010113663,0.0011107564,0.0005088152,0.9014448,0.004786482,0.05321444,0.028640911,0.00009169064],"about_ca_topic_score_codex":0.0025600428,"about_ca_topic_score_gemma":0.0010376321,"teacher_disagreement_score":0.0035287696,"about_ca_system_score_codex":0.0009611255,"about_ca_system_score_gemma":0.0008265159,"threshold_uncertainty_score":0.018662155},"labels":[],"label_agreement":null},{"id":"W2093122234","doi":"10.6106/kjcem.2014.15.2.087","title":"Analysis of Dynamic Relationship between Changes in Domestic and Overseas Orders and Insolvency of Construction Companies","year":2014,"lang":"en","type":"article","venue":"Korean Journal of Construction Engineering and Management","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":1,"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":"Quarter (Canadian coin); Insolvency; Business; Operations management; Accounting; Finance; Engineering; Geography","score_opus":0.006344239165275677,"score_gpt":0.21465145369024483,"score_spread":0.20830721452496914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093122234","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":[0.99885345,0.00008540696,0.000093571034,0.000069461064,0.0000027309563,0.0000047691674,0.0002209492,0.0000037062205,0.00066597713],"genre_scores_gemma":[0.9992981,0.000050576746,0.00006123027,0.0000061871815,0.000005001748,0.0000051640063,0.00034240514,0.0000011823769,0.00023015293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889934,0.0002570299,0.00016986857,0.00021220838,0.0002794267,0.00018199955],"domain_scores_gemma":[0.98689204,0.0058599636,0.004482498,0.00030610806,0.001567679,0.000891847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012619013,0.00016023077,0.00023037665,0.0018988113,0.00029046033,0.0011763346,0.00035280772,0.000448168,0.0018190121],"category_scores_gemma":[0.008044934,0.00015732266,0.0003377686,0.0025134233,0.000287157,0.0009202711,0.00043272533,0.00068682793,0.00028170648],"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":[0.000052339565,0.00003733547,0.9952179,0.0000099837425,0.000029264007,0.00015495208,0.0004280321,0.00042934978,0.00010839415,0.00013846712,0.00019010346,0.0032039129],"study_design_scores_gemma":[0.0000016405075,0.000033942044,0.9968278,0.000005858591,0.000015671809,0.00007929619,0.00087177905,0.0017507847,0.00006956543,0.00006615392,0.0002715598,0.000006025466],"about_ca_topic_score_codex":0.009385942,"about_ca_topic_score_gemma":0.01068759,"teacher_disagreement_score":0.009385942,"about_ca_system_score_codex":0.0007756792,"about_ca_system_score_gemma":0.000752133,"threshold_uncertainty_score":0.018662632},"labels":[],"label_agreement":null}]}