{"meta":{"query_hash":"2db60f980693","filters":{"venue":"KSCE Journal of Civil Engineering"},"cohort_total":59,"direct_labels_cover":0,"predictions_cover":59,"exported":59,"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/2db60f980693","api":"https://metacan.xera.ac/api/v1/cohort?venue=KSCE+Journal+of+Civil+Engineering"},"results":[{"id":"W1972200475","doi":"10.1007/s12205-014-0559-2","title":"New open channel with elliptic sides and horizontal bottom","year":2014,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Section (typography); Freeboard; Channel (broadcasting); Geometry; Cross section (physics); Open-channel flow; Power (physics); Engineering; Flow (mathematics); Excavation; Structural engineering; Mechanics; Mathematics; Computer science; Geotechnical engineering; Electrical engineering; Physics","score_opus":0.00412338777727397,"score_gpt":0.17727525983963272,"score_spread":0.17315187206235874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972200475","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":[0.3282095,0.0005232985,0.6455362,0.00014196248,0.00012803465,0.00010576128,0.00020143867,0.0006662204,0.024487508],"genre_scores_gemma":[0.8787866,0.00025559135,0.11344886,0.000045049634,0.00002278328,0.00004944975,0.00011705453,0.00004536185,0.007229297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981266,0.000020883726,0.000012819463,0.000043233227,0.000072304334,0.00003804934],"domain_scores_gemma":[0.99971884,0.00004485924,0.00005831663,0.000048540594,0.000077289114,0.00005206523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024489293,0.00024355332,0.00023119742,0.00033673123,0.0002620049,0.0006358163,0.0005403947,0.0002938585,0.0017952655],"category_scores_gemma":[0.00029713553,0.00021093072,0.00027903743,0.00023416708,0.00054218265,0.00055361463,0.0006857217,0.0002627644,0.00025768633],"study_design_candidate":"bench_or_experimental","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":[0.00045031623,0.000178927,0.013557666,0.00057852553,0.000070416325,0.0019010948,0.00025355848,0.3926113,0.2658786,0.07312287,0.0034643458,0.24793246],"study_design_scores_gemma":[0.00023114202,0.0015171514,0.014574258,0.00016723022,0.00018683603,0.0035541458,0.00032488187,0.75319314,0.118167035,0.023827843,0.084054716,0.00020160392],"about_ca_topic_score_codex":0.0005171278,"about_ca_topic_score_gemma":0.0011114982,"teacher_disagreement_score":0.0017952655,"about_ca_system_score_codex":0.00029336163,"about_ca_system_score_gemma":0.0008267305,"threshold_uncertainty_score":0.006005764},"labels":[],"label_agreement":null},{"id":"W1986234988","doi":"10.1007/bf02830823","title":"A study on applications of polyurethane injection material for ground improvement","year":2000,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciencetech (Canada)","funders":"","keywords":"Polyurethane; Materials science; Composite material","score_opus":0.007501325780934335,"score_gpt":0.21665515394274623,"score_spread":0.20915382816181188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986234988","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":[0.9952305,0.0010070757,0.001349811,0.000022215698,0.0000116890005,0.000034343368,0.000019027482,0.0000090718995,0.0023160465],"genre_scores_gemma":[0.99530387,0.0009042707,0.0014697231,0.000016259122,0.0000080895115,0.000008735436,0.00003442342,0.0000057537077,0.0022488898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998222,0.000037883186,0.000008887475,0.000027907616,0.00006637158,0.000036701014],"domain_scores_gemma":[0.9997546,0.000088743785,0.000031488682,0.000019612482,0.0000865486,0.000019101075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025389434,0.00023142192,0.00020627669,0.00039477163,0.00034702691,0.00025673924,0.0002709334,0.0003603342,0.0020912096],"category_scores_gemma":[0.0003539049,0.0000924996,0.0003364596,0.00044633026,0.00019698977,0.0004607936,0.0001423432,0.00023380476,0.00018500141],"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":[0.00042527975,0.0005526149,0.003315016,0.0003394728,0.0000124118105,0.0002522921,0.0003355993,0.0006492573,0.95961523,0.00032721402,0.00008182114,0.03409377],"study_design_scores_gemma":[0.000021719234,0.006156363,0.017230868,0.000028970151,0.0000827844,0.00029294472,0.00055203703,0.0036114315,0.96725357,0.00010020276,0.004653522,0.00001572782],"about_ca_topic_score_codex":0.00078245654,"about_ca_topic_score_gemma":0.0011078122,"teacher_disagreement_score":0.0020912096,"about_ca_system_score_codex":0.00015561764,"about_ca_system_score_gemma":0.00023013097,"threshold_uncertainty_score":0.0069957376},"labels":[],"label_agreement":null},{"id":"W1987792025","doi":"10.1007/s12205-010-0527-4","title":"An integrated system for bridge management using probabilistic and mechanistic deterioration models: Application to bridge decks","year":2010,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Bridge (graph theory); Probabilistic logic; Reliability (semiconductor); Reliability engineering; Engineering; Macro; Computer science; Artificial intelligence","score_opus":0.01633116960022207,"score_gpt":0.2344290582615909,"score_spread":0.21809788866136884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987792025","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":[0.12928955,0.00013858077,0.84182024,0.00012471038,0.00008053337,0.00022756275,0.000515401,0.025212742,0.002590743],"genre_scores_gemma":[0.74533105,0.00013846933,0.24943282,0.00007066557,0.000038433693,0.0002566083,0.00059994316,0.00033108288,0.0038008501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964035,0.00006210578,0.000031479412,0.00011241057,0.00012838878,0.000025362655],"domain_scores_gemma":[0.99928135,0.00018824122,0.00006379543,0.00013592129,0.00027520556,0.000055495137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095419557,0.0007974553,0.0010567628,0.00080396485,0.0005400494,0.0010825208,0.001424197,0.0009063528,0.0055644237],"category_scores_gemma":[0.0016733969,0.0005277525,0.00051369105,0.0006164449,0.00028235232,0.0011692641,0.001024024,0.000539529,0.0010530034],"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":[0.0006557616,0.0007652186,0.0077482783,0.00015757713,0.00020876892,0.00018834026,0.00020736504,0.6393867,0.018687842,0.0027929298,0.0039815037,0.32521972],"study_design_scores_gemma":[0.00002636259,0.000056371315,0.0005444183,0.000003940484,0.000030100848,0.000017525183,0.000008628184,0.99665844,0.0016012746,0.00050603884,0.00053503667,0.000011901433],"about_ca_topic_score_codex":0.0067219706,"about_ca_topic_score_gemma":0.00767448,"teacher_disagreement_score":0.0067219706,"about_ca_system_score_codex":0.00075922406,"about_ca_system_score_gemma":0.0009745056,"threshold_uncertainty_score":0.018614829},"labels":[],"label_agreement":null},{"id":"W1991556154","doi":"10.1007/bf02831776","title":"Development of potential measures to evaluate the safety of curves in rural highways","year":2003,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":11,"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":"Trajectory; Path (computing); RADIUS; Field (mathematics); Transport engineering; Engineering; Computer science; Mathematics; Physics","score_opus":0.010907066894518576,"score_gpt":0.21709390009659482,"score_spread":0.20618683320207626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991556154","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":[0.9014363,0.00021062692,0.08258385,0.00021426029,0.000020136024,0.0005215965,0.0010194761,0.00028715853,0.013706546],"genre_scores_gemma":[0.9767755,0.00006313841,0.021888023,0.000009941676,0.00000402819,0.00012444382,0.00027548757,0.000008739585,0.0008505813],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778193,0.001193202,0.00008011363,0.00015490672,0.00067684357,0.00011302565],"domain_scores_gemma":[0.99363786,0.0016635786,0.0008575243,0.00033402303,0.0032343562,0.00027273217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027964222,0.0008716938,0.0003628124,0.0032411134,0.00053705496,0.0009201027,0.0010281134,0.0006970496,0.0020327826],"category_scores_gemma":[0.0075712404,0.00018802802,0.00041560567,0.0016787705,0.00056357624,0.0014342647,0.0007196736,0.00035702696,0.00042612862],"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":[0.0012956624,0.001247063,0.536222,0.000419786,0.00018014423,0.00019004045,0.0010226656,0.11135209,0.026885988,0.01010693,0.0013682574,0.3097095],"study_design_scores_gemma":[0.00023082973,0.013425355,0.52866215,0.00017843758,0.0002732732,0.000331509,0.0055846176,0.36581293,0.061675612,0.0137324305,0.009924169,0.00016868355],"about_ca_topic_score_codex":0.0072204242,"about_ca_topic_score_gemma":0.009642797,"teacher_disagreement_score":0.0072204242,"about_ca_system_score_codex":0.0010908766,"about_ca_system_score_gemma":0.0012626745,"threshold_uncertainty_score":0.014789104},"labels":[],"label_agreement":null},{"id":"W2013260682","doi":"10.1007/s12205-013-0411-0","title":"A fuzzy AHP model for assessing the condition of metro stations","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":24,"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":"Concordia University","keywords":"Analytic hierarchy process; Fuzzy logic; Quality (philosophy); Transit (satellite); Computer science; Operations research; Transport engineering; Process (computing); Engineering; Reliability engineering; Public transport; Artificial intelligence","score_opus":0.12427317067512261,"score_gpt":0.4198605440069919,"score_spread":0.2955873733318693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013260682","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":[0.18550059,0.00034804645,0.8016567,0.00047623736,0.00010138268,0.0002816685,0.00068768894,0.00029381967,0.010653873],"genre_scores_gemma":[0.948972,0.000121628866,0.048828974,0.000036125137,0.000021701338,0.00017980828,0.00018594271,0.000010834099,0.0016429492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923956,0.0003041099,0.000047938818,0.0000950911,0.00019691687,0.00011646161],"domain_scores_gemma":[0.99902415,0.00057766907,0.00007416289,0.000029927389,0.00023817332,0.000055887147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015097096,0.0006064117,0.0009129929,0.0011744776,0.0008181495,0.0015382826,0.0016445905,0.0013154573,0.0031697673],"category_scores_gemma":[0.0021501868,0.00041752568,0.000857349,0.0014629944,0.0004058691,0.00095069874,0.00073538395,0.00084181415,0.00023982265],"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":[0.000063925145,0.000047592013,0.00071519613,0.000045816003,0.00004012499,0.000071625,0.000057524976,0.98390806,0.00042179954,0.0024431252,0.00028524455,0.011900008],"study_design_scores_gemma":[0.0000050118447,0.000018415061,0.000119981465,0.0000038503813,0.0000070638307,0.0000060919183,0.000021715117,0.99867934,0.000066393906,0.0009853145,0.0000827421,0.0000041463986],"about_ca_topic_score_codex":0.025351128,"about_ca_topic_score_gemma":0.017779924,"teacher_disagreement_score":0.025351128,"about_ca_system_score_codex":0.0015560694,"about_ca_system_score_gemma":0.0019304041,"threshold_uncertainty_score":0.05040717},"labels":[],"label_agreement":null},{"id":"W2027843037","doi":"10.1007/s12205-013-1114-2","title":"Vibration performance of Profiled Steel Sheet Dry Board composite floor panel","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Material Properties and Processing","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":"Université de Sherbrooke","funders":"","keywords":"Structural engineering; Serviceability (structure); Vibration; Engineering; Composite number; Composite material; Materials science; Acoustics","score_opus":0.008717023883154163,"score_gpt":0.1696631656871604,"score_spread":0.16094614180400624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027843037","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":[0.99809116,0.000028596902,0.0010619609,0.000010506577,0.000009948745,0.00000208877,0.00007021161,0.00003001927,0.0006953191],"genre_scores_gemma":[0.9988072,0.000012213871,0.00016014544,0.0000046752216,0.0000013372091,0.000001393891,0.000061803075,0.000004224335,0.0009470097],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998553,0.000013392553,0.0000053076255,0.000025888834,0.000053565054,0.000046576002],"domain_scores_gemma":[0.9997843,0.00006118999,0.00001965553,0.000016841119,0.00008237366,0.0000356363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011165245,0.00022628697,0.00018655437,0.00016836417,0.00020023175,0.00017386497,0.00021897514,0.00037832092,0.0046671955],"category_scores_gemma":[0.00021004907,0.00010681705,0.00018466549,0.000104945204,0.00014379677,0.00013784404,0.0001781347,0.00024161374,0.0005078834],"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":[0.0015638204,0.00006680255,0.0030414937,0.00007599696,0.000014812253,0.000238889,0.00013277636,0.0060297986,0.97962016,0.00004980681,0.00027859813,0.0088870395],"study_design_scores_gemma":[0.00006337677,0.0038387585,0.17023683,0.000029979861,0.00007253512,0.0003473133,0.00089257513,0.053353935,0.769448,0.0000795877,0.0015883468,0.00004877586],"about_ca_topic_score_codex":0.0015472575,"about_ca_topic_score_gemma":0.0016439956,"teacher_disagreement_score":0.0046671955,"about_ca_system_score_codex":0.000105980835,"about_ca_system_score_gemma":0.0000973253,"threshold_uncertainty_score":0.0156133175},"labels":[],"label_agreement":null},{"id":"W2031176174","doi":"10.1007/s12205-015-0722-4","title":"Assessment of concrete compressive strength prediction models","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Gradation; Compressive strength; Predictability; Cement; Aggregate (composite); Materials science; Geotechnical engineering; Slump; Mathematics; Composite material; Statistics; Engineering; Computer science; Artificial intelligence","score_opus":0.024618130456985795,"score_gpt":0.2576615868847033,"score_spread":0.2330434564277175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031176174","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":[0.88968176,0.00040253493,0.097813405,0.00034222615,0.000051716557,0.000194919,0.0012024047,0.0016119373,0.008699038],"genre_scores_gemma":[0.98849535,0.000048204725,0.010315308,0.00001571436,0.00000844621,0.000041508494,0.00042257158,0.00003074728,0.0006220402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993462,0.0001978671,0.000035608453,0.000112489644,0.00025643004,0.00005145988],"domain_scores_gemma":[0.9961177,0.0024908497,0.00020856164,0.00024512585,0.00084351393,0.00009437925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024439632,0.00094492553,0.00052781333,0.00083096663,0.0003635062,0.00079337903,0.0012446856,0.0010148088,0.0014588728],"category_scores_gemma":[0.004965493,0.00036002498,0.00060100073,0.000398701,0.00018836788,0.00079362775,0.00046725545,0.0005430246,0.00037806894],"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":[0.00017750147,0.000159388,0.0047203205,0.00003508975,0.0000355504,0.000030407838,0.000015107521,0.97062373,0.0023191082,0.0003906487,0.00037102067,0.02112206],"study_design_scores_gemma":[0.0000071600593,0.000038842067,0.0008335881,0.0000026556063,0.000008164981,0.0000033832143,0.0000043807568,0.9977683,0.0011546998,0.00010787755,0.00006749775,0.0000035787136],"about_ca_topic_score_codex":0.012729957,"about_ca_topic_score_gemma":0.008237644,"teacher_disagreement_score":0.012729957,"about_ca_system_score_codex":0.0011844458,"about_ca_system_score_gemma":0.0011959627,"threshold_uncertainty_score":0.025311708},"labels":[],"label_agreement":null},{"id":"W2033793070","doi":"10.1007/s12205-013-0181-8","title":"Analytical and experimental approaches to obtain the ultimate strength of reinforced earth elements","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Lateral earth pressure; Geotechnical engineering; Friction angle; Reinforcement; Shear strength (soil); Structural engineering; Overburden pressure; Triaxial shear test; Earth (classical element); Shear (geology); Materials science; Reinforced concrete; Geology; Engineering; Soil water; Composite material; Mathematics","score_opus":0.01952031229658322,"score_gpt":0.20139382230618297,"score_spread":0.18187351000959975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033793070","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":[0.6182758,0.0010453083,0.35126242,0.00024700235,0.00011858169,0.00038228786,0.0008429698,0.0004734112,0.027352154],"genre_scores_gemma":[0.9345341,0.0005763525,0.060693465,0.00003784099,0.000025755697,0.00038221618,0.00026154472,0.000033153643,0.003455597],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998418,0.00022715054,0.00009394611,0.00015130131,0.0010007586,0.000108974615],"domain_scores_gemma":[0.99756515,0.00092369196,0.0003140045,0.00037947702,0.0007677554,0.000049955343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993628,0.0007533317,0.0003710505,0.0012857291,0.0010112509,0.00057835574,0.0015448565,0.00084127806,0.0042900858],"category_scores_gemma":[0.0038068949,0.00041925086,0.00028331962,0.00079358014,0.0013617183,0.0011536117,0.00071132527,0.000992955,0.0006166042],"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":[0.00015766406,0.0008080187,0.0021756762,0.00034188823,0.000027250599,0.00008560111,0.00033776372,0.016945215,0.9245544,0.016170649,0.0002801877,0.038115576],"study_design_scores_gemma":[0.000030304856,0.000602065,0.0035448845,0.000029833089,0.000029845181,0.00012348926,0.00020171289,0.041060355,0.9483298,0.0028113064,0.0031943403,0.00004211174],"about_ca_topic_score_codex":0.0012542934,"about_ca_topic_score_gemma":0.0029150692,"teacher_disagreement_score":0.0042900858,"about_ca_system_score_codex":0.0007198876,"about_ca_system_score_gemma":0.000948119,"threshold_uncertainty_score":0.014351726},"labels":[],"label_agreement":null},{"id":"W2040755658","doi":"10.1007/s12205-010-0251-0","title":"Scheduling decisions and their dynamic consequences on construction performance","year":2010,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":17,"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":"Scheduling (production processes); Computer science; Operations research; Operations management; Engineering","score_opus":0.027608159619883374,"score_gpt":0.2861498568559307,"score_spread":0.2585416972360473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040755658","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":[0.9894075,0.00016124827,0.004829297,0.00046176204,0.000027349364,0.00001723852,0.00018414253,0.00002964745,0.0048818286],"genre_scores_gemma":[0.9992162,0.000042901545,0.00027245254,0.000011209321,0.0000062473873,0.00000442097,0.000036069367,0.000005175415,0.00040538493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990013,0.00039409054,0.00005071737,0.000115882176,0.00016470022,0.00027326244],"domain_scores_gemma":[0.9836954,0.012323943,0.0019665088,0.00031055158,0.0007209181,0.0009826774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033517375,0.00037805774,0.00037438443,0.00084381225,0.0005091861,0.002776397,0.00057158695,0.0010673983,0.0044985143],"category_scores_gemma":[0.015612091,0.00044096136,0.00035943222,0.0010214866,0.00071552565,0.0011951101,0.0005391185,0.0011779773,0.0004962074],"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":[0.003044582,0.0012726043,0.15074854,0.00008931337,0.00028185616,0.0006740435,0.00051983097,0.7580825,0.012874538,0.022524273,0.0016374259,0.048250534],"study_design_scores_gemma":[0.00018302187,0.00083878473,0.2881488,0.00002879867,0.00017227864,0.00015223805,0.0017366321,0.67144364,0.0028798173,0.032183018,0.0021004404,0.00013256942],"about_ca_topic_score_codex":0.005115818,"about_ca_topic_score_gemma":0.0064051505,"teacher_disagreement_score":0.005115818,"about_ca_system_score_codex":0.001635022,"about_ca_system_score_gemma":0.0011654383,"threshold_uncertainty_score":0.017725885},"labels":[],"label_agreement":null},{"id":"W2045643953","doi":"10.1007/s12205-012-1272-7","title":"An automated system for the creation of an urban infrastructure 3D model using image processing techniques","year":2011,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Vanguard College","funders":"Ministry of Education, Science and Technology; National Research Foundation","keywords":"Computer science; Architecture; Image (mathematics); Database; Image processing; Geographic information system; Artificial intelligence; Geography; Remote sensing","score_opus":0.009045967683552066,"score_gpt":0.23871955507193715,"score_spread":0.2296735873883851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045643953","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":[0.011727375,0.00008627652,0.9575496,0.00007561169,0.00003104009,0.00022647508,0.0010370945,0.027673796,0.0015928753],"genre_scores_gemma":[0.09744287,0.0001747387,0.8952982,0.000110448316,0.00003019351,0.000384412,0.0031776794,0.00059517345,0.0027863248],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957925,0.000030430481,0.000024896348,0.0001316345,0.00020443577,0.000029314651],"domain_scores_gemma":[0.99953306,0.00009712402,0.00005195676,0.0001275323,0.00015730679,0.000033108277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051030854,0.0007013097,0.0008993307,0.0022922212,0.000512141,0.00093895744,0.0015000477,0.000763734,0.0058668847],"category_scores_gemma":[0.0009312455,0.000633117,0.0006120055,0.0012666483,0.0002951906,0.0011468775,0.001029191,0.00050898595,0.0030890885],"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":[0.00024208023,0.00022329057,0.0037901502,0.00029645246,0.00012893646,0.00038980262,0.00037467526,0.01633336,0.14165138,0.002760437,0.02224581,0.8115637],"study_design_scores_gemma":[0.00012531743,0.00027927454,0.012923285,0.00009193906,0.00020534705,0.0013731404,0.00033812414,0.7372388,0.17426617,0.0032965946,0.06965342,0.00020857684],"about_ca_topic_score_codex":0.004240059,"about_ca_topic_score_gemma":0.004935938,"teacher_disagreement_score":0.0058668847,"about_ca_system_score_codex":0.00048208193,"about_ca_system_score_gemma":0.00086684333,"threshold_uncertainty_score":0.019626677},"labels":[],"label_agreement":null},{"id":"W2050143934","doi":"10.1007/bf02824087","title":"Shear behavior of overconsolidated Nakdong river sandy silt","year":2007,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":13,"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":"Geotechnical engineering; Silt; Cohesion (chemistry); Pore water pressure; Softening; Dilatant; Overburden pressure; Shearing (physics); Geology; Shear (geology); Stress path; Shear stress; Materials science; Composite material; Geomorphology","score_opus":0.006613260206038283,"score_gpt":0.2024770446449084,"score_spread":0.19586378443887012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050143934","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":[0.9998136,0.0000039981855,0.000010635556,0.0000014339419,5.598238e-7,5.493347e-7,0.00001854513,6.7521205e-7,0.0001498931],"genre_scores_gemma":[0.99940836,0.000009058236,0.000023426164,0.0000049122973,5.876904e-7,9.675599e-7,0.00007439568,0.0000011589833,0.00047712802],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999933,0.0000033243664,0.000004714471,0.00002334724,0.000016789338,0.000018719662],"domain_scores_gemma":[0.99986494,0.000011795378,0.00002701833,0.000005419613,0.00004977808,0.000040983054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010159302,0.00020742297,0.0002838636,0.00044262692,0.0005188096,0.00043451326,0.00019098846,0.00022192321,0.0012078765],"category_scores_gemma":[0.00019307945,0.00016088941,0.00016443206,0.0003400247,0.00034116962,0.00024409757,0.0003331587,0.00019536952,0.00022451524],"study_design_candidate":"bench_or_experimental","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":[0.0015032766,0.0001905169,0.68898875,0.000058989557,0.000054443844,0.0010551785,0.0041672187,0.0016601079,0.29369116,0.0001442066,0.00018551863,0.00830063],"study_design_scores_gemma":[0.0000081628195,0.00024535868,0.9907019,0.0000036613046,0.000022334507,0.00010274725,0.001867715,0.0018446436,0.004783343,0.000025263917,0.00038444056,0.000010375491],"about_ca_topic_score_codex":0.028337205,"about_ca_topic_score_gemma":0.0523481,"teacher_disagreement_score":0.028337205,"about_ca_system_score_codex":0.000507318,"about_ca_system_score_gemma":0.00036846055,"threshold_uncertainty_score":0.05634457},"labels":[],"label_agreement":null},{"id":"W2056513338","doi":"10.1007/bf02823928","title":"Seismic fragility analysis of a CANDU type NPP containment building for near-fault ground motions","year":2006,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":30,"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":"Fragility; Nonlinear system; Containment (computer programming); Geology; Containment building; Seismology; Shear (geology); Fault (geology); Structural engineering; Engineering; Physics; Nuclear engineering; Computer science","score_opus":0.006541401704274953,"score_gpt":0.21542825201560817,"score_spread":0.20888685031133322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056513338","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":[0.99871516,0.000007784726,0.000892337,0.0000062993,3.5708865e-7,0.0000014661493,0.00003076521,0.000016222442,0.0003294919],"genre_scores_gemma":[0.99949896,0.000005203916,0.00029976486,8.796897e-7,2.784171e-7,8.1818473e-7,0.00006721968,0.0000016829562,0.00012521254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998945,0.000010807398,0.0000027595381,0.000017635488,0.00005367623,0.00002060897],"domain_scores_gemma":[0.999859,0.000039999555,0.0000265598,0.000017454526,0.00003355306,0.000023357292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013678099,0.00023570147,0.00021673512,0.0005908208,0.00023850531,0.00016177687,0.00025714174,0.0002581378,0.0007708685],"category_scores_gemma":[0.00036804925,0.00011612512,0.00015514635,0.00024863775,0.00021753117,0.00016818543,0.0001971418,0.00014547796,0.00013363914],"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":[0.001055669,0.00018882626,0.19446957,0.000104560684,0.00008258867,0.0021379073,0.00046111993,0.3823554,0.3489298,0.0007408759,0.0006004807,0.06887323],"study_design_scores_gemma":[0.000016705944,0.00057836925,0.34953016,0.000008186597,0.0000387392,0.00052702095,0.0004097534,0.5909086,0.057173222,0.00018254908,0.0005850574,0.000041615116],"about_ca_topic_score_codex":0.008418987,"about_ca_topic_score_gemma":0.012070741,"teacher_disagreement_score":0.008418987,"about_ca_system_score_codex":0.00041423872,"about_ca_system_score_gemma":0.00027636334,"threshold_uncertainty_score":0.016739964},"labels":[],"label_agreement":null},{"id":"W2078820952","doi":"10.1007/bf02829299","title":"Experimental validation of laboratory performance models using the third scale accelerated pavement testing","year":2006,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint-Gobain (Canada)","funders":"North Carolina Department of Transportation","keywords":"Structural engineering; Service life; Engineering; Fatigue cracking; Asphalt; Void (composites); Cracking; Scale model; Superposition principle; Deformation (meteorology); Geotechnical engineering; Reliability engineering; Materials science; Mathematics","score_opus":0.03365154467944935,"score_gpt":0.2441531871182382,"score_spread":0.21050164243878883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078820952","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":[0.9242439,0.00013692943,0.07106427,0.00005377915,0.0000394759,0.0002224412,0.0010891946,0.0016984794,0.001451509],"genre_scores_gemma":[0.986827,0.00009285315,0.011757928,0.000009442674,0.000004376919,0.00018812531,0.0004957529,0.000055726687,0.00056892226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983524,0.0003217558,0.00013150278,0.0002659268,0.00077332713,0.00015508311],"domain_scores_gemma":[0.9964495,0.0010162838,0.0004049819,0.000986309,0.0009950558,0.00014795741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022566123,0.0014602399,0.000675744,0.0008723805,0.00038369265,0.0005678499,0.0017761261,0.0010350749,0.0022554283],"category_scores_gemma":[0.0035976155,0.00027750502,0.0008711901,0.0006951377,0.0005096717,0.0006940316,0.00055973115,0.0006527061,0.00070135045],"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":[0.0009507585,0.0014929891,0.016030625,0.00032422147,0.00011188837,0.00023449732,0.00039900714,0.25686237,0.68932366,0.0010586907,0.0010463587,0.032164898],"study_design_scores_gemma":[0.00011544026,0.0060655335,0.017343711,0.000029811357,0.00009320089,0.00019110691,0.00012868286,0.44131407,0.5326445,0.00029299888,0.0016955719,0.00008539146],"about_ca_topic_score_codex":0.003398109,"about_ca_topic_score_gemma":0.003384393,"teacher_disagreement_score":0.003398109,"about_ca_system_score_codex":0.0008676639,"about_ca_system_score_gemma":0.00057372544,"threshold_uncertainty_score":0.01193428},"labels":[],"label_agreement":null},{"id":"W2081356886","doi":"10.1007/s12205-013-0318-9","title":"Enhancing algorithmic base for discrete choice modelling","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Government of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete choice; Computer science; Multinomial logistic regression; Convergence (economics); Mode (computer interface); Process (computing); Software; Estimation; Mathematical optimization; Logit; Code (set theory); Mixed logit; Logistic regression; Machine learning; Mathematics; Engineering","score_opus":0.012854473192329388,"score_gpt":0.24730761762079767,"score_spread":0.2344531444284683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081356886","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":[0.0040168045,0.00007681643,0.99113,0.00034152617,0.00003516822,0.00004658899,0.00009799079,0.00012263027,0.004132501],"genre_scores_gemma":[0.31878492,0.0004885615,0.66898316,0.0003701303,0.0002471547,0.0005322919,0.00072790025,0.00020572236,0.009660192],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974831,0.0011527701,0.00012991627,0.0003478474,0.0007242096,0.000162267],"domain_scores_gemma":[0.9861675,0.0108533,0.00037584195,0.0014247439,0.0008868868,0.0002917779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038568475,0.0009141781,0.0016795188,0.0015785723,0.0010979923,0.0028915945,0.0028299303,0.0016478569,0.009402555],"category_scores_gemma":[0.019894665,0.0008301914,0.0023631756,0.0015487706,0.0016876407,0.0031617817,0.0044817803,0.004596817,0.00136611],"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":[0.000050971674,0.00012447333,0.00069048355,0.0000982981,0.000048887334,0.0000718809,0.000111343434,0.26066995,0.00038698927,0.703406,0.001903133,0.03243764],"study_design_scores_gemma":[0.0000104659575,0.0000112104235,0.000051295134,0.000013193118,0.00001059155,0.000010050012,0.000009258214,0.7119181,0.00010632613,0.28642714,0.001427475,0.000004916348],"about_ca_topic_score_codex":0.004557208,"about_ca_topic_score_gemma":0.0053473734,"teacher_disagreement_score":0.009402555,"about_ca_system_score_codex":0.0015947222,"about_ca_system_score_gemma":0.0025330996,"threshold_uncertainty_score":0.031454623},"labels":[],"label_agreement":null},{"id":"W2083939839","doi":"10.1007/s12205-009-0297-z","title":"How far does surface heave propagate? A discussion on analytical and numerical modeling of the surface heave induced by subsurface fluid injection","year":2009,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":10,"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 Calgary","funders":"","keywords":"Finite element method; Geotechnical engineering; Geology; Aquifer; Surface (topology); Chart; Groundwater; Engineering; Structural engineering; Geometry; Mathematics","score_opus":0.006209667889200818,"score_gpt":0.19749071972789692,"score_spread":0.1912810518386961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083939839","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":[0.08665671,0.005344911,0.78571373,0.012063393,0.0020652693,0.000080779166,0.00013921056,0.00031535653,0.10762067],"genre_scores_gemma":[0.9284873,0.0068283756,0.029399708,0.0011478966,0.0008490407,0.0000787555,0.00004741145,0.00022509508,0.03293644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981517,0.000057525474,0.00000815411,0.000028248558,0.00006353465,0.000027415708],"domain_scores_gemma":[0.9994653,0.0003463009,0.000051952295,0.000036969068,0.00007481087,0.000024628658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057234743,0.0006307383,0.0006107259,0.0005738774,0.00086611265,0.0015759855,0.0011228519,0.002028495,0.0033295534],"category_scores_gemma":[0.0023889588,0.00043696645,0.00089855044,0.00039603267,0.002535368,0.0026084075,0.0014352424,0.0018255642,0.0004527386],"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":[0.000083380306,0.00006084836,0.0010648199,0.00022517235,0.000032252836,0.0007714118,0.00059328525,0.37741458,0.01664092,0.5771787,0.0018381994,0.024096396],"study_design_scores_gemma":[0.000027950366,0.00012245076,0.0012596126,0.00014698884,0.000029049757,0.00031877894,0.0004779715,0.75149924,0.0047809365,0.22874257,0.0125115365,0.00008284405],"about_ca_topic_score_codex":0.0022391854,"about_ca_topic_score_gemma":0.0012827135,"teacher_disagreement_score":0.0033295534,"about_ca_system_score_codex":0.0005997562,"about_ca_system_score_gemma":0.0003743578,"threshold_uncertainty_score":0.011138439},"labels":[],"label_agreement":null},{"id":"W2089102605","doi":"10.1007/s12205-014-0587-y","title":"Analysis of Drought Length using the BDS statistic and Close Returns Test","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Hydrology and Drought Analysis","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":"Environment and Climate Change Canada","funders":"National Research Foundation of Korea; Inha University","keywords":"Inflow; Series (stratigraphy); Mathematics; Nonlinear system; Time series; Statistic; Chaotic; Applied mathematics; Statistics; Computer science; Meteorology; Geography; Artificial intelligence; Geology","score_opus":0.011810860377469829,"score_gpt":0.23148946554006403,"score_spread":0.2196786051625942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089102605","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":[0.9335554,0.00020352931,0.05967069,0.00025946807,0.00006327772,0.00006817405,0.001960764,0.00036262756,0.0038560294],"genre_scores_gemma":[0.9912839,0.000035343288,0.0064794947,0.000021174557,0.000046973055,0.000043620537,0.0011597865,0.00006348688,0.00086619845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945135,0.0027960942,0.0003145843,0.000864619,0.0011075364,0.00040376958],"domain_scores_gemma":[0.94018525,0.050940435,0.0035048656,0.002138515,0.0018407026,0.0013903008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073110717,0.00039724985,0.00094931887,0.003256174,0.00047844838,0.0011767755,0.0010420564,0.00069060136,0.0075429846],"category_scores_gemma":[0.03582103,0.00019814547,0.0009417353,0.002650788,0.0008897336,0.0019710015,0.0010502627,0.0015091936,0.0008184868],"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":[0.002445069,0.0005805297,0.7891881,0.00019756219,0.0012785533,0.0007456104,0.0006395261,0.031785544,0.005593793,0.019106176,0.005366217,0.14307323],"study_design_scores_gemma":[0.00011654314,0.0026692187,0.6758916,0.000042770545,0.00031605895,0.00067369797,0.0015875484,0.29466107,0.0044107004,0.0143155735,0.0051853247,0.00012992935],"about_ca_topic_score_codex":0.0021264742,"about_ca_topic_score_gemma":0.0014651547,"teacher_disagreement_score":0.0075429846,"about_ca_system_score_codex":0.0005126196,"about_ca_system_score_gemma":0.000703209,"threshold_uncertainty_score":0.038665116},"labels":[],"label_agreement":null},{"id":"W2091411179","doi":"10.1007/s12205-014-1207-6","title":"Development of high performance asphalt mastic using fine taconite filler","year":2014,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":36,"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":"Dynamic shear rheometer; Asphalt; Materials science; Composite material; Creep; Cracking; Rheometer; Filler (materials); Brittleness; Rut; Rheology","score_opus":0.013921322140553874,"score_gpt":0.21208980291537213,"score_spread":0.19816848077481825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091411179","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":[0.98836493,0.0012741005,0.0072860075,0.00003967409,0.00002399199,0.0001465124,0.0001944674,0.00015196325,0.002518307],"genre_scores_gemma":[0.982612,0.0011683481,0.013474086,0.00003288231,0.000010769872,0.00005671561,0.00034345177,0.000036491765,0.0022652312],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999778,0.000015871079,0.000017369424,0.000055325665,0.00010297489,0.000030449277],"domain_scores_gemma":[0.99982244,0.000010827448,0.00006814451,0.0000133250005,0.000042087482,0.000043166747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021587223,0.0005148263,0.0003068606,0.00073238503,0.0001464493,0.00029832628,0.00033265026,0.00038692539,0.00068817375],"category_scores_gemma":[0.00021404035,0.00019976683,0.00036850042,0.00045580795,0.00014139827,0.00042014022,0.00023785765,0.00036245666,0.00039984877],"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":[0.00002633688,0.00006334105,0.00016721187,0.000051373576,0.0000035045748,0.000063162865,0.000011793013,0.00015074744,0.99720407,0.00003587073,0.000017159486,0.002205486],"study_design_scores_gemma":[0.000009736726,0.000687863,0.003829741,0.000008520918,0.00002653753,0.00016867822,0.000023585619,0.0009043884,0.991823,0.0000108804325,0.0025004945,0.000006714283],"about_ca_topic_score_codex":0.0006622239,"about_ca_topic_score_gemma":0.0024279892,"teacher_disagreement_score":0.00073238503,"about_ca_system_score_codex":0.00019160258,"about_ca_system_score_gemma":0.00019706757,"threshold_uncertainty_score":0.0023021698},"labels":[],"label_agreement":null},{"id":"W2092222411","doi":"10.1007/s12205-009-0161-1","title":"Estimation of high-temperature properties of rubberized asphalt using chromatograph","year":2009,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":42,"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":"AGE-WELL","keywords":"Crumb rubber; Natural rubber; Materials science; Asphalt; Composite material; Rheology; Gel permeation chromatography; Rheometer; Polymer","score_opus":0.010712089784555586,"score_gpt":0.21248724614934908,"score_spread":0.20177515636479348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092222411","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":[0.9396872,0.0019030714,0.048847497,0.00009133174,0.000065391105,0.00010668581,0.0017586473,0.0006869788,0.0068532103],"genre_scores_gemma":[0.97788805,0.0008318851,0.014998922,0.00006576859,0.000021785549,0.000048478163,0.0010327928,0.00010478586,0.0050074663],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995795,0.00005960933,0.00001690194,0.000095023715,0.0001887303,0.000060213133],"domain_scores_gemma":[0.9996879,0.00011931697,0.0000305506,0.000023683737,0.00011555512,0.000023029048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741382,0.0003706743,0.000228191,0.0010110466,0.00044615203,0.00036123363,0.000381569,0.000413788,0.0020839234],"category_scores_gemma":[0.0005051854,0.00020040594,0.00033030825,0.00075547077,0.0002798308,0.0004167014,0.00017913195,0.00057719456,0.0007223816],"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":[0.00017959467,0.00004102885,0.0031069093,0.000034237823,0.000023300741,0.000044970788,0.000050035185,0.00029974765,0.98960155,0.00007612041,0.000109397944,0.0064331153],"study_design_scores_gemma":[0.000004449532,0.00012196078,0.022777146,0.000003982514,0.000029858971,0.000103536186,0.00005331737,0.002856151,0.9727357,0.000031311458,0.0012694367,0.000013204641],"about_ca_topic_score_codex":0.007499918,"about_ca_topic_score_gemma":0.011265293,"teacher_disagreement_score":0.007499918,"about_ca_system_score_codex":0.00030730036,"about_ca_system_score_gemma":0.000357368,"threshold_uncertainty_score":0.014912486},"labels":[],"label_agreement":null},{"id":"W2105094675","doi":"10.1007/bf02823855","title":"Modified energy dissipation algorithm for seismic structures using magnetorheological damper","year":2007,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Dissipation; Magnetorheological fluid; Damper; Acceleration; Structural engineering; Engineering; Energy (signal processing); Magnetorheological damper; Control theory (sociology); Voltage; Algorithm; Computer science; Control (management); Mathematics; Physics; Electrical engineering","score_opus":0.01154586304031833,"score_gpt":0.2223102582939738,"score_spread":0.21076439525365548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105094675","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":[0.011805076,0.000058481597,0.9870725,0.000035879213,0.0000351616,0.000020025229,0.000015611646,0.000232862,0.0007243409],"genre_scores_gemma":[0.25755975,0.00009550747,0.73642105,0.000048028338,0.000039648352,0.00012775061,0.000092999326,0.00016544617,0.0054498482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984527,0.000033887263,0.000011038367,0.000025047551,0.00006820542,0.000016517319],"domain_scores_gemma":[0.99976176,0.000077823795,0.000023210006,0.000033042892,0.000088178174,0.000015924434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042615365,0.0004531181,0.0005973806,0.00038946886,0.0003360398,0.0006389971,0.0011339675,0.0008459258,0.0040524397],"category_scores_gemma":[0.0008509183,0.00028593882,0.0003806732,0.00029320476,0.00023815263,0.00069037074,0.00058532873,0.00050449267,0.0007109644],"study_design_candidate":"bench_or_experimental","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":[0.00030270484,0.00014714984,0.0009378007,0.00013689123,0.000064606684,0.00011423879,0.00012667617,0.5998655,0.03434968,0.012913701,0.001867768,0.34917334],"study_design_scores_gemma":[0.000009061654,0.000018409313,0.000083243795,0.0000021396959,0.000002631755,0.000008440375,0.0000037776178,0.9977946,0.0011230982,0.00048776314,0.00046339838,0.0000034502837],"about_ca_topic_score_codex":0.001608324,"about_ca_topic_score_gemma":0.0023155017,"teacher_disagreement_score":0.0040524397,"about_ca_system_score_codex":0.00033269942,"about_ca_system_score_gemma":0.00047795498,"threshold_uncertainty_score":0.013556719},"labels":[],"label_agreement":null},{"id":"W2137644833","doi":"10.1007/s12205-009-0205-6","title":"Performance of an Artificial Neural Network model for simulating saltwater intrusion process in coastal aquifers when training with noisy data","year":2009,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":11,"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":"Artificial neural network; Training (meteorology); MATLAB; Process (computing); Saltwater intrusion; Computer science; Backpropagation; Test data; Aquifer; Transfer function; Artificial intelligence; Data modeling; Data mining; Machine learning; Engineering; Groundwater; Geotechnical engineering; Meteorology","score_opus":0.04045895344704177,"score_gpt":0.25253384951640134,"score_spread":0.2120748960693596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137644833","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":[0.9587202,0.00019682391,0.038184196,0.00028054227,0.0000774267,0.00002818731,0.00011380479,0.0002556862,0.0021431919],"genre_scores_gemma":[0.9967533,0.00002680456,0.002618999,0.00002031057,0.0000057260413,0.00001120134,0.00006756362,0.000007825138,0.00048827607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998286,0.00005397266,0.000018533527,0.000045476118,0.000026800017,0.000026602238],"domain_scores_gemma":[0.9983089,0.001166127,0.0001027479,0.00006881951,0.00029413393,0.000059216858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001722,0.0007179559,0.00051323243,0.00033611353,0.0005137777,0.0007012329,0.00067908526,0.0014531694,0.00075592735],"category_scores_gemma":[0.0036805365,0.00044414954,0.0003708157,0.0002951698,0.00053871964,0.00083550886,0.00041006654,0.00075903523,0.0001290482],"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":[0.00006986535,0.000031861287,0.0018381721,0.000011020021,0.00001627424,0.000019115303,0.000014208647,0.9938691,0.00057674194,0.0000832953,0.00007175889,0.0033987137],"study_design_scores_gemma":[0.0000018381746,0.0000075183675,0.00014387725,6.138867e-7,0.0000017941263,7.129284e-7,0.0000016362899,0.999632,0.00018230578,0.000021209917,0.0000054741126,0.0000010577011],"about_ca_topic_score_codex":0.046435356,"about_ca_topic_score_gemma":0.021451313,"teacher_disagreement_score":0.046435356,"about_ca_system_score_codex":0.0010661838,"about_ca_system_score_gemma":0.0007763803,"threshold_uncertainty_score":0.09233016},"labels":[],"label_agreement":null},{"id":"W2191248515","doi":"10.1007/s12205-015-1163-9","title":"Optimization of reinforced concrete retaining walls via hybrid firefly algorithm with upper bound strategy","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"University of Tehran; National Research Foundation","keywords":"Firefly algorithm; Harmony search; Firefly protocol; Mathematical optimization; Computer science; Optimization algorithm; Upper and lower bounds; Process (computing); Optimization problem; Algorithm; Branch and bound; Hybrid algorithm (constraint satisfaction); Engineering; Mathematics","score_opus":0.008978948313949726,"score_gpt":0.18512727417013178,"score_spread":0.17614832585618206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191248515","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":[0.049755502,0.00021818548,0.9464184,0.000063304826,0.000023318638,0.00003185335,0.000017218668,0.00017807662,0.0032940062],"genre_scores_gemma":[0.67094105,0.00021169925,0.3238437,0.00007088819,0.000028409317,0.00019426172,0.000056299286,0.00006190028,0.004591867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998233,0.00004548086,0.000006628268,0.000022937907,0.00007197075,0.00002964776],"domain_scores_gemma":[0.9998566,0.000068053705,0.00002836719,0.000012349468,0.000025497127,0.000009159028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004945302,0.0005842513,0.0007723902,0.00041532883,0.00023422357,0.0004456747,0.0007655542,0.00070600177,0.0009321296],"category_scores_gemma":[0.00046499405,0.00030903082,0.000631328,0.00031196736,0.00035675667,0.00041460356,0.0005031056,0.00036685317,0.00017069675],"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":[0.000030742456,0.000026928392,0.00024484293,0.000028027494,0.000025290276,0.00002946984,0.000021001837,0.96789026,0.0059407363,0.0035170717,0.00024655482,0.021999134],"study_design_scores_gemma":[0.0000058537057,0.000022718763,0.000045296285,0.0000017562957,0.0000031822917,0.0000055469195,0.0000021937876,0.99875104,0.0007160782,0.0002790715,0.00016478823,0.0000025194295],"about_ca_topic_score_codex":0.0015967503,"about_ca_topic_score_gemma":0.0013176284,"teacher_disagreement_score":0.0015967503,"about_ca_system_score_codex":0.0002886527,"about_ca_system_score_gemma":0.0005613201,"threshold_uncertainty_score":0.003174901},"labels":[],"label_agreement":null},{"id":"W2295160447","doi":"10.1007/s12205-016-0693-6","title":"Effects of street pattern, traffic, road infrastructure, socioeconomic and demographic characteristics on public transit ridership","year":2016,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"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 Calgary","funders":"","keywords":"Public transport; Socioeconomic status; Business; Transport engineering; Geography; Population; Environmental health; Engineering","score_opus":0.007346489977617931,"score_gpt":0.2108702528448214,"score_spread":0.20352376286720344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295160447","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":[0.9992113,0.00007679944,0.000024316561,0.00004559199,0.000006212618,0.000003214493,0.00015704843,0.0000026230596,0.00047275436],"genre_scores_gemma":[0.9987985,0.00004636063,0.000023415061,0.000013309121,0.000010636407,0.0000045196143,0.00020384112,0.0000031082207,0.000896379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990969,0.0003189876,0.00007457555,0.00014962844,0.00007514834,0.00028481273],"domain_scores_gemma":[0.99479264,0.0022927122,0.00087835727,0.0003564915,0.00032275292,0.001357008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010628479,0.000353929,0.00046681915,0.00066589296,0.0007096914,0.0011157284,0.0007021493,0.0008815439,0.009320803],"category_scores_gemma":[0.0035908155,0.00038959534,0.0020318937,0.0011578011,0.0006751505,0.001102022,0.0010985625,0.0011554688,0.00077192043],"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":[0.0007130472,0.00037751795,0.99642086,0.000008364477,0.00020553569,0.00012631195,0.00022860777,0.0001454929,0.00018812045,0.00006178368,0.00011862357,0.0014056233],"study_design_scores_gemma":[0.000008092077,0.00022747631,0.99840254,0.000004442778,0.000106591295,0.000047566493,0.0006261451,0.0003554743,0.000040803356,0.000035780715,0.0001400766,0.0000050918247],"about_ca_topic_score_codex":0.039045278,"about_ca_topic_score_gemma":0.05058414,"teacher_disagreement_score":0.039045278,"about_ca_system_score_codex":0.00063135865,"about_ca_system_score_gemma":0.0009902611,"threshold_uncertainty_score":0.077636},"labels":[],"label_agreement":null},{"id":"W2345282952","doi":"10.1007/s12205-016-0705-0","title":"Public transportation and sustainability: A review","year":2016,"lang":"en","type":"review","venue":"KSCE Journal of Civil Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":225,"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 Calgary","funders":"","keywords":"Sustainability; Public transport; Sustainable transport; Social sustainability; Business; Environmental planning; Transportation planning; Sustainable development; Sustainability organizations; Order (exchange); Key (lock); Environmental resource management; Transport engineering; Environmental economics; Engineering; Political science; Economics; Computer science; Geography; Ecology","score_opus":0.031805622037383914,"score_gpt":0.309125073134094,"score_spread":0.2773194510967101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345282952","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006809264,0.9991844,0.000035374815,0.0003044933,0.00014416053,0.000002783793,0.000022989587,0.0000020283355,0.00023569798],"genre_scores_gemma":[0.0007515082,0.99871933,0.00007292021,0.00017011969,0.00016282953,0.0000033706642,0.000017495191,5.591647e-7,0.00010188173],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939275,0.00012187936,0.00012046999,0.00011736078,0.00019167294,0.000055908356],"domain_scores_gemma":[0.99798286,0.0011307531,0.0003601154,0.00003506103,0.00038380246,0.00010741073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014670695,0.0013717819,0.0021970386,0.0060350867,0.0004389876,0.0024736654,0.0011584659,0.0023152109,0.0064791217],"category_scores_gemma":[0.0030088797,0.0005197649,0.0012394045,0.0102476245,0.00086971914,0.002704455,0.0013193067,0.0015949581,0.0009183874],"study_design_candidate":"not_applicable","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":[0.00016932642,0.00017372832,0.0010822137,0.12446984,0.0007759729,0.00027971304,0.00021468998,0.0007608278,0.0005274198,0.005992595,0.0608238,0.8047299],"study_design_scores_gemma":[0.0000504753,0.00014476795,0.0033822975,0.043679766,0.0020034958,0.00075134786,0.00044362832,0.00021238011,0.00019621766,0.004397939,0.9446664,0.00007130306],"about_ca_topic_score_codex":0.005566218,"about_ca_topic_score_gemma":0.012629444,"teacher_disagreement_score":0.0064791217,"about_ca_system_score_codex":0.0013171216,"about_ca_system_score_gemma":0.006448985,"threshold_uncertainty_score":0.021674812},"labels":[],"label_agreement":null},{"id":"W2460782470","doi":"10.1007/s12205-016-0933-3","title":"Exploring wavelet applications in civil engineering","year":2016,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":25,"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 Alberta","funders":"","keywords":"Wavelet; Wavelet transform; Discrete wavelet transform; Lifting scheme; Second-generation wavelet transform; Wavelet packet decomposition; Stationary wavelet transform; Harmonic wavelet transform; Computer science; Pattern recognition (psychology); Engineering; Artificial intelligence","score_opus":0.032137595115670735,"score_gpt":0.2457643557542505,"score_spread":0.21362676063857977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460782470","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12943588,0.0045973784,0.8442442,0.0012653755,0.00014438911,0.000026686539,0.000069940776,0.00022035575,0.019995842],"genre_scores_gemma":[0.7870401,0.009564953,0.19383958,0.0002108445,0.00031047867,0.000038277893,0.00011691106,0.00012430515,0.008754531],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997676,0.000105573825,0.000011465379,0.000029095001,0.00006335792,0.000022929327],"domain_scores_gemma":[0.9987808,0.0009341974,0.00004289381,0.000087673856,0.000115714036,0.000038771657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008266616,0.00040783623,0.0003645659,0.0010375812,0.00021495945,0.0012228388,0.00056891114,0.0007459476,0.0031812827],"category_scores_gemma":[0.0038304962,0.0002380666,0.00034360075,0.0014829201,0.0005617852,0.0014719161,0.00092577684,0.00094877265,0.0006012004],"study_design_candidate":"not_applicable","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":[0.00015455789,0.00022216383,0.003675603,0.0005022056,0.00007625012,0.0004118235,0.00054984656,0.09558419,0.037181277,0.27649567,0.0024311123,0.5827153],"study_design_scores_gemma":[0.000016084758,0.00012868414,0.0022356056,0.00009572766,0.000037377325,0.0003169256,0.00039446767,0.7644511,0.007110933,0.21232954,0.012863672,0.000019912133],"about_ca_topic_score_codex":0.00041611528,"about_ca_topic_score_gemma":0.000401628,"teacher_disagreement_score":0.0031812827,"about_ca_system_score_codex":0.00017025201,"about_ca_system_score_gemma":0.0002204369,"threshold_uncertainty_score":0.010642409},"labels":[],"label_agreement":null},{"id":"W2612901984","doi":"10.1007/s12205-017-0654-2","title":"A rapid field measurement method for the determination of Joint Roughness Coefficient of large rock joint surfaces","year":2017,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Joint (building); Rock mass classification; Surface finish; Surface roughness; Grayscale; Sampling (signal processing); Remote sensing; Geotechnical engineering; Geology; Materials science; Structural engineering; Computer science; Engineering; Image (mathematics); Composite material; Artificial intelligence; Computer vision","score_opus":0.04051626521075089,"score_gpt":0.2650613692323049,"score_spread":0.224545104021554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612901984","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":[0.10178128,0.0011056364,0.89149284,0.00017491005,0.00022717348,0.00025207686,0.0005051358,0.0019456705,0.0025152948],"genre_scores_gemma":[0.47021106,0.0006452572,0.52431715,0.00019367594,0.000100018,0.00035665187,0.00048420488,0.00012600319,0.0035659866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913245,0.000087289096,0.00002194028,0.00014156642,0.0005714718,0.000045278637],"domain_scores_gemma":[0.9984251,0.00043879866,0.00014307888,0.00018461476,0.00074688095,0.00006159711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086510304,0.00064857595,0.00056213466,0.0015559336,0.00039628023,0.00039711164,0.00085781363,0.0007054352,0.0016137349],"category_scores_gemma":[0.0012155123,0.0003943673,0.00024766344,0.00070710207,0.00040979296,0.0008345728,0.00060852146,0.0008390145,0.00061436475],"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":[0.000096261596,0.00009169705,0.0035038616,0.00016446404,0.000020539124,0.000060242703,0.00009704185,0.0009215832,0.89591193,0.0007929697,0.0018168463,0.09652261],"study_design_scores_gemma":[0.00015354753,0.00071542256,0.032131087,0.000041748717,0.00010738315,0.0013236366,0.00025419277,0.098390624,0.85104066,0.0010974611,0.014475279,0.00026902597],"about_ca_topic_score_codex":0.0022037989,"about_ca_topic_score_gemma":0.004241714,"teacher_disagreement_score":0.0022037989,"about_ca_system_score_codex":0.00037621052,"about_ca_system_score_gemma":0.0008431126,"threshold_uncertainty_score":0.005398512},"labels":[],"label_agreement":null},{"id":"W2758423037","doi":"10.1007/s12205-017-1052-5","title":"The Probabilistic Stability Analysis of Saturated-Unsaturated MH and CL Soil Slope with Rainfall Infiltration","year":2017,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Infiltration (HVAC); Geotechnical engineering; Hydraulic conductivity; Slope stability; Vegetation and slope stability; Soil science; Vadose zone; Soil water; Suction; Environmental science; Hydrology (agriculture); Geology; Groundwater; Materials science; Engineering","score_opus":0.00870038845078466,"score_gpt":0.19650973872969899,"score_spread":0.18780935027891432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758423037","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":[0.7516135,0.00044348888,0.23825265,0.00040297816,0.000025077696,0.0000547532,0.00025701252,0.00018056353,0.008769854],"genre_scores_gemma":[0.9980975,0.000054268297,0.00080055976,0.0000059900512,0.000006393773,0.0000080523205,0.00003366017,0.000010461161,0.0009831191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975294,0.00006901409,0.000009895853,0.00004784868,0.000062245184,0.00005804053],"domain_scores_gemma":[0.9985538,0.0007244745,0.0003214934,0.000051487186,0.0002948333,0.000053860218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010757846,0.0003493037,0.00045559986,0.0011289482,0.00040506106,0.0007560678,0.0006378359,0.0005834222,0.001781166],"category_scores_gemma":[0.0030744532,0.00042379607,0.00069388875,0.0006504764,0.0010372392,0.00070636254,0.0008212622,0.00036518177,0.00013584126],"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":[0.00009627153,0.000012180687,0.005907151,0.000037710503,0.000029966846,0.00013804405,0.00006299951,0.970752,0.0034527965,0.015109369,0.00020687204,0.0041946275],"study_design_scores_gemma":[0.0000019278925,0.0000086774235,0.0012180635,0.0000021839758,0.000006823119,0.000014166402,0.0000126955565,0.9970054,0.00024266433,0.0014384559,0.000044525175,0.000004483852],"about_ca_topic_score_codex":0.008524355,"about_ca_topic_score_gemma":0.0040707043,"teacher_disagreement_score":0.008524355,"about_ca_system_score_codex":0.00095604383,"about_ca_system_score_gemma":0.00065793766,"threshold_uncertainty_score":0.016949475},"labels":[],"label_agreement":null},{"id":"W2801449844","doi":"10.1007/s12205-018-1314-x","title":"Sustainable Management Framework for Transportation Assets: Application to Urban Pavement Networks","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":11,"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":"Interurban; Asset management; Asset (computer security); Sustainable development; Sustainable management; Business; Environmental resource management; Transport engineering; Risk analysis (engineering); Computer science; Engineering; Sustainability; Economics; Computer security","score_opus":0.0027741684946784757,"score_gpt":0.20641157080350983,"score_spread":0.20363740230883134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801449844","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":[0.020546004,0.00040221412,0.9441611,0.0014500638,0.00010727352,0.00021049616,0.0005055462,0.000499474,0.032117818],"genre_scores_gemma":[0.5379905,0.0010442687,0.44577166,0.00013797307,0.00008756714,0.00041701552,0.00068326783,0.00015732666,0.013710466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990846,0.00023835404,0.00006043674,0.00012301447,0.00037690057,0.000116718606],"domain_scores_gemma":[0.99913603,0.00020920677,0.00008435694,0.000074515054,0.0003937661,0.00010213403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657227,0.00079030945,0.0006401598,0.0023124756,0.0012762813,0.0042253532,0.0017169662,0.0013092421,0.005420433],"category_scores_gemma":[0.0020737278,0.00030785723,0.0010924148,0.0024386018,0.0011539629,0.002560666,0.0024096097,0.0012384605,0.00059897214],"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":[0.000015116827,0.00011603064,0.0016326992,0.00010838126,0.000044719553,0.00021740141,0.0002557055,0.3988866,0.0008145069,0.54318726,0.004004111,0.050717458],"study_design_scores_gemma":[0.000011712226,0.000042210344,0.00065127964,0.00008512181,0.000040866784,0.00009748026,0.0005863737,0.77735776,0.00050127675,0.1974929,0.023106875,0.000026140155],"about_ca_topic_score_codex":0.021007705,"about_ca_topic_score_gemma":0.036514986,"teacher_disagreement_score":0.021007705,"about_ca_system_score_codex":0.003321184,"about_ca_system_score_gemma":0.0044612144,"threshold_uncertainty_score":0.041770875},"labels":[],"label_agreement":null},{"id":"W2804830572","doi":"10.1007/s12205-018-1405-8","title":"Performance of Cement Mortars under Tannery Wastewater","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Building materials and conservation","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":"Concordia University","funders":"","keywords":"Portland cement; Cement; Mortar; Materials science; Wastewater; Scanning electron microscope; Microstructure; Durability; Composite material; Environmental science; Waste management; Metallurgy; Engineering","score_opus":0.01044728031478049,"score_gpt":0.17808769081930936,"score_spread":0.16764041050452888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804830572","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":[0.9993487,0.00009840755,0.00011509025,0.0000133912845,0.0000094127845,0.0000044111785,0.000107629545,0.000011080525,0.00029188607],"genre_scores_gemma":[0.9971137,0.00015430198,0.00015176772,0.000012175801,0.0000032990793,0.0000034739242,0.00017102802,0.000010097251,0.002379989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996805,0.000033692217,0.000029146951,0.00006465659,0.00009819429,0.00009373715],"domain_scores_gemma":[0.99960345,0.00008791376,0.00005622291,0.000027086642,0.00017296386,0.000052282714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028087324,0.00048085587,0.000473309,0.00034055204,0.00045679027,0.0006640944,0.00035987026,0.00067153503,0.0025376156],"category_scores_gemma":[0.00054334925,0.00020258807,0.00057126506,0.0002542073,0.0002887991,0.00034719153,0.00026777625,0.00037837427,0.00080472784],"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":[0.002252263,0.00012597408,0.0027528368,0.000105484,0.000024982972,0.00008584168,0.00012429053,0.0009588065,0.98940665,0.00003590128,0.0000894748,0.0040374408],"study_design_scores_gemma":[0.000009274377,0.0014286762,0.010631185,0.000006353381,0.00004608721,0.000029376,0.00015726323,0.0010818139,0.9860787,0.000014614457,0.0005051489,0.000011452109],"about_ca_topic_score_codex":0.008823123,"about_ca_topic_score_gemma":0.009818292,"teacher_disagreement_score":0.008823123,"about_ca_system_score_codex":0.0005918584,"about_ca_system_score_gemma":0.00043853483,"threshold_uncertainty_score":0.017543554},"labels":[],"label_agreement":null},{"id":"W2899317733","doi":"10.1007/s12205-019-1370-x","title":"Ship Twin-propeller Jet Model used to Predict the Initial Velocity and Velocity Distribution within Diffusing Jet","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":14,"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":"Tianjin University; Universiti Malaya; Queen's University; Dalian University of Technology; Natural Science Foundation of Tianjin City; Queen's University Belfast; University of Oxford","keywords":"Propeller; Jet (fluid); Mechanics; Wake; Physics; Turbulence; Computational fluid dynamics; Flow velocity; Advance ratio; Flow (mathematics); Engineering; Marine engineering; Blade pitch; Thermodynamics","score_opus":0.02533613632257131,"score_gpt":0.24396236569686103,"score_spread":0.21862622937428972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899317733","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":[0.8116664,0.00026279135,0.17241105,0.0002022106,0.00018269599,0.00009906935,0.0006567109,0.00094611425,0.013572918],"genre_scores_gemma":[0.9856785,0.0001383331,0.0087641375,0.000016666952,0.000012089199,0.000037538717,0.000398792,0.000054750504,0.0048991153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999374,0.000007741102,0.000004716907,0.000014268433,0.000023947556,0.000011843576],"domain_scores_gemma":[0.9997788,0.00007323498,0.000023717039,0.000018564977,0.00007652231,0.000029216055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018268824,0.0005004408,0.0005034397,0.00036557292,0.00051582395,0.00072417577,0.0008261309,0.00094946544,0.0017912656],"category_scores_gemma":[0.000555305,0.00039489075,0.0007112524,0.00047761435,0.0003146848,0.0005665184,0.00048101702,0.0008179118,0.00027898475],"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":[0.00003491451,0.000018344866,0.0010380539,0.000012420751,0.000009779666,0.00008117233,0.000013162728,0.9948925,0.0017591853,0.00037361568,0.000119121396,0.0016477938],"study_design_scores_gemma":[0.0000032793896,0.00000751606,0.00014696905,4.7585482e-7,0.0000019784031,0.0000031922273,0.0000018703603,0.9995388,0.00024024148,0.0000209122,0.00003347629,0.0000014599632],"about_ca_topic_score_codex":0.028541764,"about_ca_topic_score_gemma":0.010299543,"teacher_disagreement_score":0.028541764,"about_ca_system_score_codex":0.0005287429,"about_ca_system_score_gemma":0.0012167228,"threshold_uncertainty_score":0.05675131},"labels":[],"label_agreement":null},{"id":"W2904893748","doi":"10.1007/s12205-018-0132-5","title":"Traffic Condition Monitoring with SCAAT Kalman Filter-based Data Fusion in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Kalman filter; Sensor fusion; Real-time computing; Data mining; Computer science; Sampling (signal processing); Categorical variable; Floating car data; Induction loop; Global Positioning System; Engineering; Detector; Telecommunications; Transport engineering; Artificial intelligence; Traffic congestion","score_opus":0.009591741875581586,"score_gpt":0.21778460222615537,"score_spread":0.20819286035057377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904893748","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":[0.94948256,0.0010106176,0.011322261,0.00095609424,0.00014649726,0.00021254124,0.009478729,0.00085631385,0.02653447],"genre_scores_gemma":[0.9839631,0.00034274985,0.0045936243,0.00004222256,0.00002018022,0.000024206869,0.0028961387,0.00003275314,0.00808491],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995559,0.000030782183,0.000019344072,0.00007623562,0.00021177754,0.00010608835],"domain_scores_gemma":[0.9988967,0.000049196464,0.000037493934,0.000034083278,0.0008858265,0.000096617136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000509973,0.00035264684,0.00039247313,0.00088767306,0.0013549112,0.0010129339,0.0006089224,0.0003886003,0.0014047595],"category_scores_gemma":[0.0010456134,0.00021762867,0.0002557688,0.0026702096,0.00040851234,0.00046793764,0.00038189377,0.00045076266,0.00035022153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014914522,0.00058543397,0.4686102,0.000522985,0.00044719287,0.0014386479,0.0028005268,0.15726963,0.025330288,0.0065889885,0.06649117,0.26842353],"study_design_scores_gemma":[0.00009275842,0.000098332326,0.68354636,0.000070966955,0.00014084381,0.00009526443,0.0021198874,0.2888165,0.0046731937,0.0004714135,0.019776402,0.00009809434],"about_ca_topic_score_codex":0.9922225,"about_ca_topic_score_gemma":0.9951746,"teacher_disagreement_score":0.012711973,"about_ca_system_score_codex":0.012711973,"about_ca_system_score_gemma":0.024116537,"threshold_uncertainty_score":0.09223223},"labels":[],"label_agreement":null},{"id":"W2913984120","doi":"10.1007/s12205-019-0563-7","title":"A Strain Based Method for Determining the Crack Closure and Initiation Stress in Compression Tests","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Crack closure; Closure (psychology); Structural engineering; Materials science; Compression (physics); Stress (linguistics); Deformation (meteorology); Composite material; Fracture mechanics; Engineering","score_opus":0.01305839438455924,"score_gpt":0.24820918406627113,"score_spread":0.23515078968171188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913984120","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":[0.037999243,0.00026429904,0.9587372,0.000038120033,0.000042970132,0.00011394832,0.00017732543,0.0012775628,0.0013493721],"genre_scores_gemma":[0.32480422,0.00018855136,0.672354,0.00005150771,0.000023314858,0.00023424177,0.0003370355,0.00014438108,0.0018626736],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989378,0.00009517305,0.00006162944,0.00025805246,0.0006103952,0.000036887446],"domain_scores_gemma":[0.9983182,0.00056315365,0.00026471054,0.00018414926,0.0006095107,0.000060258175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070632447,0.0007466182,0.00066502194,0.0020826003,0.00038273295,0.00070409453,0.0013851475,0.00091095007,0.0013496913],"category_scores_gemma":[0.002608641,0.00043416198,0.00030858393,0.0013214048,0.0005013592,0.00064169546,0.0005676148,0.0008641293,0.00051005586],"study_design_candidate":"bench_or_experimental","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":[0.00038383628,0.00021438322,0.016507482,0.00048296526,0.0000770367,0.00016515504,0.00018501816,0.12043442,0.18373135,0.0036774855,0.0012277408,0.6729131],"study_design_scores_gemma":[0.000033709337,0.00014646188,0.009102785,0.000020537007,0.00001863548,0.00024271417,0.000034127,0.9280026,0.05935838,0.00081532507,0.0021470643,0.00007774876],"about_ca_topic_score_codex":0.0031395466,"about_ca_topic_score_gemma":0.004592035,"teacher_disagreement_score":0.0031395466,"about_ca_system_score_codex":0.00063963904,"about_ca_system_score_gemma":0.0009087408,"threshold_uncertainty_score":0.0062425733},"labels":[],"label_agreement":null},{"id":"W2970076376","doi":"10.1007/s12205-019-0572-6","title":"Estimating the Stand-Up Time of Unsupported Vertical Trenches in Vadose Zone","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Atom Enerjisi Kurumu","keywords":"Trench; Vadose zone; Water table; Geotechnical engineering; Geology; Excavation; Groundwater; Infiltration (HVAC); Suction; Soil water; Pore water pressure; Soil science; Engineering","score_opus":0.00553589628327948,"score_gpt":0.18788697025438664,"score_spread":0.18235107397110717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970076376","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":[0.9988172,0.000041784504,0.0004501244,0.000005464619,0.0000021729186,0.0000025469635,0.0002547015,0.000021706788,0.0004041887],"genre_scores_gemma":[0.9994086,0.000016391437,0.00025284346,9.0385083e-7,9.174367e-7,0.0000012121188,0.00019593832,0.0000017337484,0.00012144677],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988306,0.000009833044,0.000007632224,0.00003487384,0.000025403919,0.000039245435],"domain_scores_gemma":[0.99939406,0.00021354241,0.00011921684,0.00004655141,0.00013219882,0.00009428023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024097902,0.00026996984,0.00019162543,0.0013705688,0.00038157115,0.0006620854,0.00041874757,0.00046282454,0.00080281304],"category_scores_gemma":[0.00093392003,0.00025192983,0.0004141688,0.0007108492,0.0001810312,0.0005182746,0.00027365226,0.0002418899,0.00018111961],"study_design_candidate":"bench_or_experimental","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":[0.0002742626,0.0000983389,0.8739542,0.000032162072,0.000107923035,0.0002730121,0.00012107595,0.10544588,0.005803598,0.00042447884,0.0001867391,0.013278426],"study_design_scores_gemma":[0.000013592235,0.00009411471,0.7249985,0.000018368102,0.00006268285,0.00007906501,0.0002746113,0.2710059,0.00281205,0.00022466051,0.00038943207,0.000027110333],"about_ca_topic_score_codex":0.02716731,"about_ca_topic_score_gemma":0.04369953,"teacher_disagreement_score":0.02716731,"about_ca_system_score_codex":0.0006078824,"about_ca_system_score_gemma":0.0004485518,"threshold_uncertainty_score":0.05401838},"labels":[],"label_agreement":null},{"id":"W2980146438","doi":"10.1007/s12205-019-0084-4","title":"Effect of Dynamic Interaction of Two Neighboring Tunnels on Vibrations from Underground Railways in the Saturated Soil","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","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":"Biot number; Vibration; Geotechnical engineering; Boundary value problem; Shell (structure); Soil structure interaction; Structural engineering; Geology; Engineering; Mechanics; Physics; Mathematics; Finite element method; Acoustics; Mathematical analysis; Civil engineering","score_opus":0.004119400088472814,"score_gpt":0.2176633545561382,"score_spread":0.2135439544676654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980146438","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":[0.9987679,0.000021116393,0.00050656736,0.000011028524,0.000008954223,0.0000018691138,0.000014496238,0.000011616271,0.00065649126],"genre_scores_gemma":[0.99977607,0.000007591027,0.000043616117,0.00000222265,0.0000013556954,8.34231e-7,0.0000075519993,0.00000202003,0.00015888366],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998048,0.000034300174,0.000005869865,0.000034052082,0.00003341072,0.00008765826],"domain_scores_gemma":[0.9993512,0.00035255696,0.00004277472,0.000026417107,0.000095676645,0.00013133227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017027458,0.000270975,0.00036557484,0.00028561757,0.00048576618,0.00037357814,0.00025163288,0.0004889705,0.00384432],"category_scores_gemma":[0.0007622659,0.00019662085,0.0003256205,0.00020837008,0.00047312924,0.00028597072,0.0004586588,0.00028354957,0.00019729392],"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":[0.012244291,0.0009998665,0.048910625,0.00038155587,0.00024683285,0.0031689412,0.00090435834,0.20358314,0.69889975,0.00067747006,0.0007125227,0.02927063],"study_design_scores_gemma":[0.0002686716,0.0046075415,0.37689894,0.00007830356,0.00046765283,0.00086771767,0.004907575,0.4753185,0.13448091,0.0005257701,0.0014125571,0.00016589371],"about_ca_topic_score_codex":0.002632738,"about_ca_topic_score_gemma":0.0025984652,"teacher_disagreement_score":0.00384432,"about_ca_system_score_codex":0.00019383963,"about_ca_system_score_gemma":0.0002389052,"threshold_uncertainty_score":0.012860537},"labels":[],"label_agreement":null},{"id":"W2981524687","doi":"10.1007/s12205-019-0834-3","title":"Burnt Clay Brick Aggregate for Internal Curing of Concrete under Adverse Curing Conditions","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete Properties and Behavior","field":"Engineering","cited_by":13,"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":"Curing (chemistry); Materials science; Shrinkage; Composite material; Compressive strength; Absorption of water","score_opus":0.008939436862891623,"score_gpt":0.2126473634087621,"score_spread":0.2037079265458705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981524687","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":[0.99796873,0.00026898808,0.00089566805,0.000008633234,0.000010765609,0.000010069776,0.00005014618,0.000030853036,0.00075616187],"genre_scores_gemma":[0.99791056,0.00014238784,0.0008072647,0.0000061919927,0.0000027395636,0.000006013631,0.000047400714,0.000015416448,0.0010620371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983895,0.000017750508,0.0000075514513,0.00002935103,0.00006685072,0.00003951451],"domain_scores_gemma":[0.9997507,0.00004766553,0.00006596614,0.00002637703,0.00006110186,0.000048139995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002743312,0.00021486642,0.0002119688,0.0002744463,0.00023715179,0.00022249865,0.00018376615,0.0001785595,0.0021447896],"category_scores_gemma":[0.00031197479,0.00014159715,0.00023796881,0.00013713309,0.00015897237,0.00018769305,0.00021160433,0.00042891112,0.0002371032],"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":[0.00031853683,0.00005559199,0.0005661051,0.00007907517,0.0000065792206,0.000037326008,0.000073687894,0.00072848436,0.9955949,0.000054024393,0.000054516226,0.0024311775],"study_design_scores_gemma":[0.0000061657443,0.00030832764,0.0032751164,0.0000052801315,0.000022022443,0.000024930101,0.00002906095,0.0018089092,0.99416757,0.000009216365,0.00033733822,0.000006112467],"about_ca_topic_score_codex":0.0011459248,"about_ca_topic_score_gemma":0.0043987744,"teacher_disagreement_score":0.0021447896,"about_ca_system_score_codex":0.00015547585,"about_ca_system_score_gemma":0.00028996504,"threshold_uncertainty_score":0.0071750283},"labels":[],"label_agreement":null},{"id":"W2982618260","doi":"10.1007/s12205-019-2237-x","title":"Assess the Effectiveness of SMA on Response of Steel Connection with PT Strands","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","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":"University of Alberta","funders":"","keywords":"Connection (principal bundle); SMA*; Structural engineering; Materials science; Dissipation; Stiffness; Martensite; Shape-memory alloy; Composite material; Engineering; Computer science; Microstructure","score_opus":0.005434526533185831,"score_gpt":0.1954633165889998,"score_spread":0.19002879005581397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982618260","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":[0.9963405,0.00005097945,0.0018940993,0.00002819625,0.000019572608,0.000007660476,0.000038276492,0.000044592507,0.0015760718],"genre_scores_gemma":[0.9991579,0.000016188034,0.00023130856,0.000006300632,0.0000034087655,0.0000028626823,0.000017913038,0.000004936893,0.0005591897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986446,0.000030940577,0.000005969491,0.000023362434,0.00004025756,0.00003495553],"domain_scores_gemma":[0.99912924,0.00046429422,0.00010421738,0.000070630485,0.00015288635,0.00007867649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025720402,0.00031635517,0.00015933326,0.0002503287,0.00017096862,0.000178025,0.0002622303,0.0005833488,0.0047895657],"category_scores_gemma":[0.0014154494,0.00013357862,0.00018028103,0.00013215485,0.00018102568,0.0002673803,0.00022460689,0.0002610442,0.0005436686],"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":[0.0036452913,0.00015681192,0.0050411294,0.00013137925,0.000021734118,0.0002977445,0.00013976608,0.024950573,0.95311475,0.00027798346,0.00024064533,0.011982294],"study_design_scores_gemma":[0.00005362144,0.0049982877,0.06371429,0.000047648115,0.00007861745,0.00022375124,0.0004009327,0.21611287,0.7124768,0.0002909971,0.0015786332,0.000023514756],"about_ca_topic_score_codex":0.00031510537,"about_ca_topic_score_gemma":0.0005164273,"teacher_disagreement_score":0.0047895657,"about_ca_system_score_codex":0.00011650667,"about_ca_system_score_gemma":0.00009200258,"threshold_uncertainty_score":0.016022682},"labels":[],"label_agreement":null},{"id":"W3003843112","doi":"10.1007/s12205-020-2178-4","title":"Measured and Predicted Durability and Mechanical Properties of Frozen-Thawed Fine Soils","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":14,"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 Alberta","funders":"","keywords":"Durability; Repeatability; Geotechnical engineering; Soil water; Electrical resistivity and conductivity; Compressive strength; Thermal; Materials science; Environmental science; Mathematics; Soil science; Engineering; Composite material; Statistics; Thermodynamics; Physics","score_opus":0.03731512641699821,"score_gpt":0.1875322384437563,"score_spread":0.15021711202675808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003843112","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":[0.9989249,0.000015715223,0.000547023,0.0000036485173,0.0000022229403,0.0000035002424,0.0002043224,0.000015645806,0.0002828936],"genre_scores_gemma":[0.999726,0.0000059280246,0.000107919994,9.911722e-7,4.4575708e-7,0.0000015082198,0.00009743123,0.0000014254395,0.000058273687],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999093,0.0000064223173,0.0000070588785,0.00003491355,0.000020029825,0.000022286],"domain_scores_gemma":[0.99963653,0.00013391302,0.00005709194,0.000035858026,0.000101200254,0.00003544757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029498158,0.00025452257,0.00014820261,0.0003483262,0.00033995294,0.0004405172,0.0004290113,0.00045848853,0.00091662764],"category_scores_gemma":[0.00076310756,0.00015710785,0.00028646764,0.00020018805,0.000252428,0.0005990958,0.00014885949,0.0002796524,0.0001990783],"study_design_candidate":"bench_or_experimental","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":[0.00095383363,0.00032171182,0.6568987,0.00012721626,0.00010122736,0.00040352627,0.00021636748,0.1717634,0.1488422,0.0005328,0.0002397088,0.019599343],"study_design_scores_gemma":[0.000056994206,0.0004242765,0.7381433,0.000014768539,0.00006498294,0.00022506439,0.00018156026,0.20589575,0.053994454,0.00044852874,0.00050309184,0.000047212423],"about_ca_topic_score_codex":0.008274027,"about_ca_topic_score_gemma":0.011612096,"teacher_disagreement_score":0.008274027,"about_ca_system_score_codex":0.0007512988,"about_ca_system_score_gemma":0.00028280495,"threshold_uncertainty_score":0.016451716},"labels":[],"label_agreement":null},{"id":"W3009137936","doi":"10.1007/s12205-020-0567-3","title":"Optimizing the Unconnected Piled Raft Foundation for Soft Clay Soils: Numerical Study","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":23,"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":"Cushion; Geotechnical engineering; Foundation (evidence); Embedment; Raft; Pile; Stiffness; Engineering; Structural engineering; Bearing capacity; Materials science; Composite material","score_opus":0.014585459228422828,"score_gpt":0.2185191905370117,"score_spread":0.20393373130858886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009137936","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":[0.9567455,0.00027073175,0.03249937,0.000075254524,0.000020485457,0.000045258577,0.00015741333,0.00012244722,0.010063473],"genre_scores_gemma":[0.99491334,0.00005266758,0.004294985,0.000005359341,0.00000208991,0.000010234896,0.00002665461,0.0000148239,0.00067976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998771,0.000028663404,0.000004059996,0.00001721062,0.000029894723,0.000043042655],"domain_scores_gemma":[0.9993814,0.0003168536,0.000085847605,0.000045473727,0.000114906805,0.000055350258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278311,0.0006463899,0.0007650388,0.000656068,0.00047649455,0.00074744725,0.0008463613,0.0013631177,0.002150062],"category_scores_gemma":[0.0015161198,0.00040150477,0.0004282595,0.00070766493,0.0005106576,0.0005617424,0.0006293299,0.0003812803,0.00022237882],"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":[0.000054743974,0.000054204367,0.0008267871,0.00004022134,0.00001041673,0.00008864325,0.00001779259,0.99319506,0.001412283,0.00037412214,0.00010393674,0.0038218275],"study_design_scores_gemma":[0.000008606463,0.00006275152,0.00046001113,0.0000035124813,0.0000076408005,0.000012020519,0.000026790867,0.99889165,0.00036600252,0.000085585605,0.00007098159,0.0000044946405],"about_ca_topic_score_codex":0.016967334,"about_ca_topic_score_gemma":0.020182574,"teacher_disagreement_score":0.016967334,"about_ca_system_score_codex":0.00057016785,"about_ca_system_score_gemma":0.0010338653,"threshold_uncertainty_score":0.033737123},"labels":[],"label_agreement":null},{"id":"W3009959647","doi":"10.1007/s12205-020-0671-4","title":"Mitigation of Temperature-Induced Curling of Concrete Roadbed along High-Speed Railway: In situ Experiment and Numerical Simulation","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","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":"Geomechanica (Canada)","funders":"","keywords":"Curling; Geotechnical engineering; Environmental science; Engineering; Structural engineering; Mechanical engineering","score_opus":0.008023657691169153,"score_gpt":0.2137402184752827,"score_spread":0.20571656078411354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009959647","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":[0.99799514,0.000039138253,0.0010669922,0.000021294343,0.000011230688,0.000007844247,0.000044940705,0.000035333924,0.0007782239],"genre_scores_gemma":[0.9994873,0.000022682103,0.00027536912,0.0000027897136,0.0000010628115,0.000002988351,0.000015676129,0.000002660953,0.00018938971],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998747,0.000013582149,0.0000058402616,0.000033089415,0.000034421893,0.000038371807],"domain_scores_gemma":[0.99979967,0.000056594952,0.000030768057,0.000028586495,0.000060091344,0.000024313833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026905892,0.0003197433,0.00046865005,0.00019552158,0.0004589687,0.00037657307,0.0004811842,0.00072891754,0.0011125872],"category_scores_gemma":[0.00031866814,0.00021421675,0.0005722828,0.00021308717,0.00043033325,0.00038817915,0.00025647378,0.00035319407,0.00012720996],"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":[0.0011082996,0.001034657,0.0215099,0.00036782012,0.00006179524,0.0006652361,0.0003046906,0.40744638,0.55256677,0.00057076116,0.00050495943,0.013858711],"study_design_scores_gemma":[0.0001564746,0.0018772952,0.07750512,0.000024039977,0.00012394768,0.00010865556,0.00065137004,0.7444601,0.17404793,0.00023901158,0.0007324951,0.00007361419],"about_ca_topic_score_codex":0.008988024,"about_ca_topic_score_gemma":0.010413527,"teacher_disagreement_score":0.008988024,"about_ca_system_score_codex":0.00054636446,"about_ca_system_score_gemma":0.00055243704,"threshold_uncertainty_score":0.01787144},"labels":[],"label_agreement":null},{"id":"W3083062514","doi":"10.1007/s12205-020-0034-1","title":"Numerical Investigation of the Influence of Rock Characteristics on the Soil-Rock Mixture (SRM) Slopes Stability","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":47,"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":"Geology; Geotechnical engineering; Slope stability analysis; Slope stability probability classification; Slope stability; Stability (learning theory); Friction angle; Computer simulation; Mechanics","score_opus":0.007513902079620295,"score_gpt":0.1737274520948848,"score_spread":0.1662135500152645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083062514","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":[0.99092734,0.00009198166,0.0036394408,0.00008782226,0.000017715198,0.000011759737,0.00013054852,0.00007637017,0.005017019],"genre_scores_gemma":[0.9988978,0.000022606831,0.0006813533,0.000006149661,0.0000028339218,0.00000405293,0.000029153309,0.000007196577,0.00034883228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988425,0.000028919789,0.000007807744,0.000020433994,0.000026202957,0.00003229582],"domain_scores_gemma":[0.99911815,0.00055756274,0.00010718398,0.00005538039,0.00010070982,0.000060901413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032430812,0.00028789192,0.00045435078,0.0006265945,0.000503806,0.00070441776,0.0005039371,0.0010878966,0.002598092],"category_scores_gemma":[0.0021807349,0.00032719006,0.0005194863,0.0005201513,0.0006842125,0.0004689416,0.00046286292,0.000398659,0.0001671061],"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":[0.0001680147,0.000115591814,0.009986843,0.000055414715,0.000035832487,0.00028242226,0.000064432315,0.97699213,0.0073983134,0.0008185657,0.00023306205,0.0038493492],"study_design_scores_gemma":[0.000011510135,0.000038606977,0.003139776,0.0000040123373,0.000010830821,0.000021892345,0.000038407095,0.99597836,0.0006120822,0.00006362192,0.00007469334,0.000006182721],"about_ca_topic_score_codex":0.0121332845,"about_ca_topic_score_gemma":0.007879275,"teacher_disagreement_score":0.0121332845,"about_ca_system_score_codex":0.0004313265,"about_ca_system_score_gemma":0.0004166196,"threshold_uncertainty_score":0.024125278},"labels":[],"label_agreement":null},{"id":"W3091840561","doi":"10.1007/s12205-020-1696-4","title":"A Portable Bender Element-Double Cone Penetration Testing Equipment for Measuring Stiffness and Shear Strength of In-Situ Soft Soil Deposits","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":15,"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":"Penetration (warfare); Cone penetration test; Stiffness; Geotechnical engineering; Shear (geology); Penetration test; Penetration depth; In situ; Materials science; Direct shear test; Composite material; Geology; Structural engineering; Engineering; Optics; Physics; Subgrade","score_opus":0.022000615539678678,"score_gpt":0.20929232384550772,"score_spread":0.18729170830582903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091840561","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":[0.39367357,0.0005671847,0.5976579,0.000089336725,0.00012277452,0.0009186715,0.0016521388,0.0017753232,0.00354312],"genre_scores_gemma":[0.62071836,0.0008603609,0.36872682,0.0000989039,0.000024888934,0.0009745606,0.0010703689,0.000100902034,0.0074247466],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991289,0.000052429816,0.000041376632,0.00018319237,0.0005534469,0.000040658568],"domain_scores_gemma":[0.99923885,0.00015361902,0.00015701621,0.00010795385,0.00028076748,0.000061862986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051760464,0.00092643296,0.0004845248,0.00090017,0.00020583718,0.00025826853,0.0008506759,0.00045242926,0.001856216],"category_scores_gemma":[0.00075382285,0.00040006512,0.00032225272,0.00075632223,0.00028568512,0.000493958,0.00041548564,0.00046908786,0.00045036536],"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":[0.00007841394,0.00008428255,0.0052910894,0.0002630909,0.000009190308,0.00014231629,0.00009413937,0.0008003479,0.9526333,0.00021652518,0.00037176392,0.040015556],"study_design_scores_gemma":[0.000046853092,0.0012905261,0.070043415,0.00006383741,0.00008664765,0.0021086829,0.00020936533,0.02494069,0.89081484,0.00028936227,0.009980534,0.00012536124],"about_ca_topic_score_codex":0.0015113775,"about_ca_topic_score_gemma":0.0054142107,"teacher_disagreement_score":0.001856216,"about_ca_system_score_codex":0.00025343482,"about_ca_system_score_gemma":0.00062371785,"threshold_uncertainty_score":0.006209612},"labels":[],"label_agreement":null},{"id":"W3111706014","doi":"10.1007/s12205-020-2044-4","title":"Four-Stage Framework for Implementing a Chatbot System in Disaster Emergency Operation Data Management: A Flood Disaster Management Case Study","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"AI in Service Interactions","field":"Computer Science","cited_by":20,"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 Alberta","funders":"","keywords":"Chatbot; Workflow; Emergency management; Usability; Data management; Computer science; Management system; Process (computing); Process management; Data science; Knowledge management; Engineering; World Wide Web; Database; Operations management","score_opus":0.062105741150186515,"score_gpt":0.30867918084960055,"score_spread":0.24657343969941403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111706014","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":[0.08737008,0.00010457397,0.88227916,0.0010860121,0.000060593924,0.004214269,0.00014992907,0.0075280154,0.01720737],"genre_scores_gemma":[0.38880935,0.0000514277,0.5994314,0.00018140936,0.000008720388,0.0010975843,0.00018231764,0.00030834,0.009929457],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99479574,0.002376237,0.00041819594,0.0006011745,0.0010582935,0.00075038744],"domain_scores_gemma":[0.9926239,0.0032822252,0.00039146832,0.001056441,0.0014306732,0.0012153161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00879428,0.0009639693,0.0005152546,0.0016270346,0.0031734097,0.005216361,0.004042506,0.00473197,0.00827582],"category_scores_gemma":[0.009210275,0.0011544499,0.00086236896,0.00050923636,0.0031164777,0.004106689,0.0044423235,0.0025973753,0.0021471984],"study_design_candidate":"qualitative","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":[0.0017481392,0.007332628,0.035997313,0.0017051862,0.00030267204,0.009189943,0.051817372,0.11202402,0.17611986,0.25273687,0.012638677,0.33838737],"study_design_scores_gemma":[0.0003149522,0.002105193,0.006666823,0.0005967624,0.00020851722,0.0022264617,0.010646174,0.80964303,0.066208,0.03612171,0.0647154,0.0005469404],"about_ca_topic_score_codex":0.014881073,"about_ca_topic_score_gemma":0.014684925,"teacher_disagreement_score":0.014881073,"about_ca_system_score_codex":0.0024871803,"about_ca_system_score_gemma":0.006697719,"threshold_uncertainty_score":0.046509147},"labels":[],"label_agreement":null},{"id":"W3193211887","doi":"10.1007/s12205-021-2236-6","title":"Experimental Evaluation of Deteriorated CMPs Retrofitted by Different Non-invasive Approaches","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete Corrosion and Durability","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":"Stantec (Canada)","funders":"","keywords":"Culvert; Geotechnical engineering; Deflection (physics); Engineering; Environmental science; Structural engineering; Civil engineering; Forensic engineering","score_opus":0.030769033674163462,"score_gpt":0.22639530304378724,"score_spread":0.1956262693696238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193211887","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":[0.99741083,0.000084824984,0.0020881589,0.0000054406028,0.000018931869,0.000015454467,0.00007190886,0.00003439682,0.00027010412],"genre_scores_gemma":[0.9941204,0.00013383728,0.0035312886,0.000013272936,0.0000044711455,0.000022649883,0.00011577175,0.00002254721,0.0020355815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957293,0.000030871433,0.000024902483,0.000100280275,0.00018798646,0.00008302111],"domain_scores_gemma":[0.99937016,0.00012178354,0.00013237001,0.000112363574,0.00020241113,0.000060958737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036499818,0.0007700502,0.00039602816,0.00037617877,0.00025202017,0.00024360884,0.00058834575,0.0008693247,0.0026098262],"category_scores_gemma":[0.00077005645,0.00023863086,0.000393873,0.0002929047,0.00048682513,0.00041989257,0.00040521554,0.0005833346,0.00040613711],"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":[0.0005255266,0.00024425838,0.000586668,0.00008470446,0.000009548219,0.00013304829,0.000081592436,0.0013633549,0.9942058,0.00005826646,0.000028125294,0.002679046],"study_design_scores_gemma":[0.000016983784,0.008010337,0.008253924,0.000014211381,0.000049271628,0.00022963036,0.00019035465,0.005171068,0.9772629,0.00003861043,0.000744637,0.000017985783],"about_ca_topic_score_codex":0.0007925644,"about_ca_topic_score_gemma":0.0014696801,"teacher_disagreement_score":0.0026098262,"about_ca_system_score_codex":0.00016475254,"about_ca_system_score_gemma":0.00017937346,"threshold_uncertainty_score":0.00873071},"labels":[],"label_agreement":null},{"id":"W3208281385","doi":"10.1007/s12205-021-0060-7","title":"Impact of Initial Moisture Content on the Shrinkage-Swelling Behavior of Heishan Bentonite","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","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":"Geomechanica (Canada)","funders":"","keywords":"Bentonite; Shrinkage; Swelling; Wetting; Water content; Materials science; Geotechnical engineering; Moisture; Composite material; Geology","score_opus":0.02136676666457258,"score_gpt":0.24858258884173048,"score_spread":0.2272158221771579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208281385","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":[0.9995378,0.000099488905,0.00005054577,0.0000055216005,0.000003235973,0.0000017957992,0.00003707347,0.0000045666143,0.00025994287],"genre_scores_gemma":[0.9994407,0.00006242623,0.00005819331,0.000007146137,0.0000011053769,0.000001114866,0.00004829044,0.0000032625453,0.0003777155],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989927,0.000012540605,0.000009068789,0.00001740493,0.00002605449,0.000035580593],"domain_scores_gemma":[0.99968266,0.00009752647,0.000055082437,0.000017526485,0.0000772572,0.000070057424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017964665,0.00019482058,0.00012806764,0.000158676,0.00015761034,0.00023609618,0.00014406907,0.0001569596,0.0017092737],"category_scores_gemma":[0.00040918894,0.00012268698,0.00015146812,0.00014039589,0.0001713791,0.00028614092,0.00011566285,0.0003058314,0.00018034672],"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":[0.0007363848,0.00007886533,0.0022840002,0.00005545668,0.000017074246,0.0000864655,0.00006266573,0.0006082769,0.9928894,0.000035237266,0.000037608843,0.003108624],"study_design_scores_gemma":[0.000007612395,0.0006567837,0.018719569,0.000006335211,0.000021631333,0.000033994824,0.00008595209,0.0017114168,0.97833943,0.000010997912,0.00039541503,0.000011021735],"about_ca_topic_score_codex":0.0029179049,"about_ca_topic_score_gemma":0.005739706,"teacher_disagreement_score":0.0029179049,"about_ca_system_score_codex":0.00018628295,"about_ca_system_score_gemma":0.00016894053,"threshold_uncertainty_score":0.005801797},"labels":[],"label_agreement":null},{"id":"W3214090192","doi":"10.1007/s12205-021-1770-6","title":"A Case Study on Practical Prediction of Natural Carbonation for Concretes Containing Supplementary Cementitious Materials","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":9,"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":"Carbonation; Cementitious; Pozzolan; Fly ash; Silica fume; Portland cement; Cement; Environmental science; Ground granulated blast-furnace slag; Materials science; Geotechnical engineering; Composite material; Engineering","score_opus":0.02663056012472569,"score_gpt":0.2862838735220892,"score_spread":0.2596533133973635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214090192","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":[0.9879495,0.000063012165,0.010043048,0.000055865414,0.00000692883,0.000050473132,0.00019386211,0.000096861055,0.0015404657],"genre_scores_gemma":[0.9927636,0.00005077701,0.0064610145,0.000004169196,0.0000034785933,0.000019215078,0.000102227656,0.000010321821,0.00058521033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99945384,0.00022181778,0.000027488095,0.00012400487,0.0001152933,0.00005752608],"domain_scores_gemma":[0.9973122,0.0020077121,0.00014863804,0.00020340002,0.00023427996,0.0000937543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011614288,0.00086344365,0.00047937236,0.0003977252,0.0005698017,0.0008057507,0.0009510964,0.001739549,0.0011875503],"category_scores_gemma":[0.0024916076,0.00037330564,0.0006316764,0.00060924195,0.00047139026,0.0006351546,0.00044698233,0.0007222236,0.000220472],"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":[0.00037410064,0.00066438754,0.028297886,0.0001769035,0.00003345512,0.0018183597,0.00027470256,0.94630057,0.008285302,0.00093804614,0.00031641504,0.012519985],"study_design_scores_gemma":[0.00003821081,0.00057000876,0.009173459,0.000013373429,0.000020349538,0.00015878894,0.00023697218,0.9756413,0.01315537,0.00044250453,0.0005221294,0.000027410104],"about_ca_topic_score_codex":0.0126979295,"about_ca_topic_score_gemma":0.014296865,"teacher_disagreement_score":0.0126979295,"about_ca_system_score_codex":0.0008673204,"about_ca_system_score_gemma":0.00081461424,"threshold_uncertainty_score":0.02524805},"labels":[],"label_agreement":null},{"id":"W3214511002","doi":"10.1007/s12205-021-0972-2","title":"SEMA: A Site Equipment Management Assistant for Construction Management","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":24,"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 Alberta","funders":"","keywords":"Usability; Interface (matter); Process (computing); Chatbot; Computer science; Engineering; Management system; Information management; Database; World Wide Web; Human–computer interaction; Operations management; Operating system","score_opus":0.005755252153903207,"score_gpt":0.19184277388290716,"score_spread":0.18608752172900395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214511002","genre_codex":"software","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":[0.06635389,0.0006346205,0.3726288,0.0012150927,0.00048628813,0.0010395598,0.009192971,0.39603502,0.15241368],"genre_scores_gemma":[0.2225344,0.0006126915,0.49335924,0.0010081549,0.0002967436,0.0009270528,0.0135337915,0.015886107,0.25184175],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920315,0.00013960736,0.000052790656,0.00014835977,0.00038660332,0.00006952436],"domain_scores_gemma":[0.9970305,0.00073638855,0.0001856696,0.00058301893,0.0009967474,0.00046769952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012816259,0.00074214884,0.00068367796,0.0020314308,0.00056186074,0.0010713842,0.0009820019,0.00047371068,0.08189033],"category_scores_gemma":[0.0036781419,0.00053684023,0.00029606774,0.0009841402,0.00022892538,0.0017914643,0.0017369053,0.00068833743,0.044951405],"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":[0.00044291103,0.000421661,0.008871531,0.00022551115,0.00003586438,0.0004616002,0.0007217431,0.0006856735,0.020886883,0.001770303,0.22401255,0.74146384],"study_design_scores_gemma":[0.00026375023,0.00040002863,0.023472052,0.00015470161,0.00009411617,0.0025754948,0.001203744,0.03444702,0.031151298,0.003505304,0.9026025,0.0001299901],"about_ca_topic_score_codex":0.0007765523,"about_ca_topic_score_gemma":0.0022130895,"teacher_disagreement_score":0.08189033,"about_ca_system_score_codex":0.00031172298,"about_ca_system_score_gemma":0.0012192954,"threshold_uncertainty_score":0.27395046},"labels":[],"label_agreement":null},{"id":"W4210537281","doi":"10.1007/s12205-022-0708-y","title":"Dynamic Multi-objective Construction Site Layout Planning Based on BIM","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":37,"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, Okanagan Campus; University of British Columbia","funders":"","keywords":"Plan (archaeology); Building information modeling; Particle swarm optimization; Quality (philosophy); Order (exchange); Transport engineering; Engineering; Construction management; Computer science; Construction engineering; Operations research; Systems engineering; Civil engineering; Operations management; Scheduling (production processes)","score_opus":0.0057563601497910176,"score_gpt":0.20089978128841868,"score_spread":0.19514342113862765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210537281","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":[0.04822107,0.0002493784,0.94229907,0.000104693034,0.00003639884,0.00012730726,0.00022896368,0.0005966854,0.008136534],"genre_scores_gemma":[0.77400386,0.0002657241,0.22131278,0.000046024867,0.000016390293,0.00035481597,0.0004688534,0.00012640501,0.00340517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993942,0.00013102654,0.000022035494,0.000111194415,0.00022931531,0.00011219581],"domain_scores_gemma":[0.99968505,0.00012478101,0.00004371625,0.000029392277,0.00007502718,0.00004197108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075652974,0.0012584692,0.0018852046,0.0016610491,0.0006747562,0.0014479492,0.001356803,0.00088446855,0.0025332433],"category_scores_gemma":[0.00089580845,0.0012329186,0.001312857,0.0020636842,0.0005185493,0.0012738239,0.001644798,0.00066625705,0.00043225574],"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":[0.00001991931,0.000030240799,0.00027386268,0.000027779695,0.000016877653,0.000036044446,0.000019635901,0.982927,0.00088466663,0.0012983163,0.00022527523,0.014240339],"study_design_scores_gemma":[0.0000028706322,0.000013557418,0.00012578114,0.0000025956517,0.0000058341707,0.000007290231,0.000011508983,0.9988815,0.00017705974,0.00060613675,0.00016190777,0.0000039150027],"about_ca_topic_score_codex":0.014591077,"about_ca_topic_score_gemma":0.017452065,"teacher_disagreement_score":0.014591077,"about_ca_system_score_codex":0.0011241036,"about_ca_system_score_gemma":0.0018250262,"threshold_uncertainty_score":0.029012263},"labels":[],"label_agreement":null},{"id":"W4220660945","doi":"10.1007/s12205-022-1723-8","title":"Experimental Study on the Deterioration Mechanism of Sandstone under the Condition of Wet-Dry Cycles","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":25,"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 Alberta","funders":"","keywords":"Porosity; Microstructure; Shrinkage; Scanning electron microscope; Materials science; Water content; Aqueous solution; Compressive strength; Mineralogy; Composite material; Geotechnical engineering; Geology; Chemistry","score_opus":0.016445629818524436,"score_gpt":0.23319315584848135,"score_spread":0.21674752602995692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220660945","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":[0.999416,0.000035614266,0.00022516384,0.000003698962,0.000003937603,0.0000046254754,0.000057906986,0.0000074389823,0.00024572088],"genre_scores_gemma":[0.9992415,0.000034750603,0.0001748646,0.000004423735,0.000001854356,0.0000034513278,0.000054834953,0.0000023716354,0.0004819842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998847,0.000006581608,0.000007900326,0.000024663113,0.000044588614,0.000031532632],"domain_scores_gemma":[0.9996836,0.000058589838,0.000045229623,0.00004314001,0.00012284558,0.000046490306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019081189,0.00021292064,0.00026260386,0.00039284292,0.0003761922,0.00014635046,0.00029843437,0.0003483875,0.002108606],"category_scores_gemma":[0.00034828385,0.00017208386,0.00023630698,0.00024534235,0.00032677423,0.00028235448,0.00022683111,0.00030807275,0.00014967646],"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":[0.0010381638,0.00020864875,0.010566087,0.000099085795,0.000017376049,0.00020836758,0.00024610118,0.00097374275,0.98179334,0.0001263642,0.00012101671,0.004601785],"study_design_scores_gemma":[0.000074871255,0.003353798,0.17538989,0.000016596021,0.00007898619,0.00034026286,0.00063164794,0.014230341,0.80447805,0.00018563979,0.0011800731,0.000039761395],"about_ca_topic_score_codex":0.0020600273,"about_ca_topic_score_gemma":0.0033538407,"teacher_disagreement_score":0.002108606,"about_ca_system_score_codex":0.0001288629,"about_ca_system_score_gemma":0.00017289701,"threshold_uncertainty_score":0.0070539713},"labels":[],"label_agreement":null},{"id":"W4220752595","doi":"10.1007/s12205-022-1047-8","title":"Characteristics of a Large-Scale Deep Foundation Pit Excavated by the Central-Island Technique in Chengdu Soft Clay","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":12,"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 Northern British Columbia","funders":"","keywords":"Excavation; Geotechnical engineering; Deflection (physics); Geology; Column (typography); Foundation (evidence); Groundwater; Engineering; Structural engineering; Archaeology; Geography","score_opus":0.0028778445041398658,"score_gpt":0.17974643996851997,"score_spread":0.1768685954643801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220752595","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":[0.99894434,0.000022382585,0.00014372016,0.000006017852,0.0000018648286,0.0000075682306,0.00009214068,0.000008117839,0.0007737801],"genre_scores_gemma":[0.99943334,0.000015459304,0.00011423217,0.0000026525954,0.0000017273167,0.000002378361,0.00005953892,0.0000018662967,0.0003687676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982494,0.000006208973,0.000008901343,0.000037483987,0.00007532598,0.000047141166],"domain_scores_gemma":[0.9996637,0.000054551052,0.000089614645,0.000020693024,0.00009577797,0.00007567057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012320986,0.00027771067,0.00033722483,0.0018365695,0.0011650498,0.00059367646,0.0007679822,0.0006664495,0.0010572406],"category_scores_gemma":[0.0004331281,0.00028431593,0.00022237776,0.0017554841,0.0005398873,0.0003575752,0.0007285793,0.00021317984,0.00018002096],"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":[0.0006559722,0.00019026539,0.82057834,0.000253629,0.000062585874,0.019209648,0.006046293,0.003230282,0.114749976,0.00032585606,0.0004941485,0.03420294],"study_design_scores_gemma":[0.000005518406,0.0000989075,0.99357337,0.000009004862,0.0000197536,0.0010662967,0.0021715357,0.0013111059,0.0012643352,0.000032178617,0.00043552928,0.000012403289],"about_ca_topic_score_codex":0.023570418,"about_ca_topic_score_gemma":0.060770802,"teacher_disagreement_score":0.023570418,"about_ca_system_score_codex":0.00037963275,"about_ca_system_score_gemma":0.00059142755,"threshold_uncertainty_score":0.046866417},"labels":[],"label_agreement":null},{"id":"W4311046732","doi":"10.1007/s12205-022-0647-7","title":"Experimental and Numerical Study on Response Characteristics of Airport Pavement Subjected to Wetting in Silt Subgrade","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","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":"Transport Canada","funders":"","keywords":"Geotechnical engineering; Wetting; Subgrade; Silt; Materials science; Stress (linguistics); Modulus; Shear stress; Geology; Composite material","score_opus":0.012884886992995661,"score_gpt":0.2514437563097563,"score_spread":0.23855886931676062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311046732","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":[0.9991716,0.000017710518,0.00035483038,0.000005565139,0.000005690879,0.0000049112646,0.000051062863,0.00001152542,0.00037714647],"genre_scores_gemma":[0.9995067,0.000018094108,0.0001920234,0.0000019262336,0.0000016446717,0.0000034626173,0.000029339932,0.0000018109721,0.00024498318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999798,0.000026478414,0.000010989844,0.000040380804,0.000068415284,0.000055746932],"domain_scores_gemma":[0.99952173,0.00017699371,0.000064568434,0.000088007146,0.00010550992,0.000043139775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002592398,0.00027658054,0.00038923894,0.00030291593,0.0003861801,0.00026628334,0.00041144429,0.00067232974,0.0027167317],"category_scores_gemma":[0.0005615965,0.00016375941,0.00042496138,0.00028602744,0.0004683187,0.00022359539,0.0002174231,0.00032730115,0.00016981087],"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":[0.001470147,0.00079129246,0.011240469,0.0001696977,0.000033365875,0.00070635224,0.00042437192,0.06394524,0.91398853,0.00030506635,0.0002492742,0.006676237],"study_design_scores_gemma":[0.00011344161,0.005816844,0.1358405,0.000022636104,0.00011696653,0.00031933095,0.0013781145,0.21437755,0.6407967,0.00019835823,0.00094580173,0.0000737418],"about_ca_topic_score_codex":0.0019095142,"about_ca_topic_score_gemma":0.0018127329,"teacher_disagreement_score":0.0027167317,"about_ca_system_score_codex":0.00022040117,"about_ca_system_score_gemma":0.0001622151,"threshold_uncertainty_score":0.009088337},"labels":[],"label_agreement":null},{"id":"W4313656485","doi":"10.1007/s12205-023-0770-0","title":"Soil Interaction of H-shaped Steel-RC Stepped Pile of Integral Abutment Bridge: Experimental Evaluation","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"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":"Pile; Structural engineering; Stiffness; Geotechnical engineering; Deformation (meteorology); Materials science; Bearing capacity; Reciprocating motion; Abutment; Displacement (psychology); Bearing (navigation); Engineering; Composite material","score_opus":0.018631132651440428,"score_gpt":0.26233672379935247,"score_spread":0.24370559114791204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313656485","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":[0.9989593,0.0000151175955,0.00048473562,0.000004822257,0.000004363844,0.0000068258128,0.00005547111,0.0000142371955,0.0004551154],"genre_scores_gemma":[0.99923456,0.000018688916,0.0002661648,0.000003093068,0.0000016976697,0.000004408299,0.000032115146,0.000003285628,0.0004360946],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997172,0.00003638756,0.000010430798,0.00005816823,0.000099646255,0.00007807298],"domain_scores_gemma":[0.9996056,0.0001370766,0.000035699963,0.00005352237,0.00010239292,0.000065731016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024159763,0.00036407064,0.00040720223,0.00039220756,0.0004759961,0.0002493397,0.0007254145,0.0008939971,0.003302755],"category_scores_gemma":[0.00051034207,0.00024617653,0.00039128697,0.0003667023,0.00047694508,0.00041288135,0.00042615263,0.00033484632,0.00035497977],"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":[0.0034109596,0.0018509876,0.007864958,0.00026361522,0.000044455297,0.0007449158,0.00036815778,0.037289206,0.938337,0.00040829345,0.00028882446,0.00912861],"study_design_scores_gemma":[0.00027326107,0.011332531,0.0848517,0.00003660414,0.0002098971,0.0004829561,0.0014666645,0.16732644,0.73226064,0.0003442222,0.0013337096,0.00008133012],"about_ca_topic_score_codex":0.0016511141,"about_ca_topic_score_gemma":0.0020359086,"teacher_disagreement_score":0.003302755,"about_ca_system_score_codex":0.00021974188,"about_ca_system_score_gemma":0.00034660436,"threshold_uncertainty_score":0.011048794},"labels":[],"label_agreement":null},{"id":"W4366524531","doi":"10.1007/s12205-023-1102-0","title":"Effects of Elevated Temperature and Activation Solution Content on Microstructural and Mechanical Properties of Fly Ash-based Geopolymer","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","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":"Concordia University","funders":"","keywords":"Geopolymer; Sodium silicate; Fly ash; Materials science; Thermogravimetric analysis; Sodium hydroxide; Residual strength; Compressive strength; Composite material; Thermal stability; Chemical engineering","score_opus":0.013225393130605355,"score_gpt":0.20219501805867715,"score_spread":0.1889696249280718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366524531","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":[0.99923515,0.00018122302,0.00013496524,0.000007354259,0.000005784289,0.000003292449,0.00007311737,0.0000072627454,0.00035171327],"genre_scores_gemma":[0.99936956,0.0001013918,0.00010715331,0.000005263713,0.0000019800048,0.0000025709494,0.000046136545,0.000004378566,0.0003614826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998659,0.000013846002,0.000015208395,0.000025617279,0.000038060807,0.00004130488],"domain_scores_gemma":[0.9997279,0.00010919628,0.000058953734,0.000017076236,0.000056083543,0.000030624375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015581705,0.00019837308,0.00017136929,0.00015688718,0.00014185134,0.00021373403,0.00014008858,0.00018781086,0.0024536336],"category_scores_gemma":[0.00042373303,0.00015671345,0.00017839238,0.0002278288,0.0002067806,0.00026181113,0.000095023206,0.00036040723,0.00022289083],"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":[0.00087611744,0.00005709182,0.0007896722,0.000058870417,0.0000113847655,0.000067548324,0.000049011636,0.0005551765,0.99563944,0.000055323682,0.000031375523,0.0018088319],"study_design_scores_gemma":[0.0000068659992,0.00031514652,0.005497855,0.0000042375373,0.00001799133,0.00001942705,0.000042573152,0.0008885556,0.992953,0.000012631757,0.00023467837,0.0000070504125],"about_ca_topic_score_codex":0.0013032331,"about_ca_topic_score_gemma":0.0034832687,"teacher_disagreement_score":0.0024536336,"about_ca_system_score_codex":0.0001690904,"about_ca_system_score_gemma":0.00021217385,"threshold_uncertainty_score":0.008208215},"labels":[],"label_agreement":null},{"id":"W4381855565","doi":"10.1007/s12205-023-0701-0","title":"A Decision Approach for Analysing the Role of Modern Methods, Project Management and Integrated Approaches in Environmentally Sustainable Construction Projects","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Snowball sampling; Likert scale; Project management; Structural equation modeling; Questionnaire; Nonprobability sampling; Construction management; Sustainability; Pre-construction services; Knowledge management; Engineering; Process management; Project management triangle; Computer science; Management science; Mathematics; Systems engineering; Civil engineering","score_opus":0.019099423493305588,"score_gpt":0.24945323903804506,"score_spread":0.23035381554473947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381855565","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":[0.12298013,0.0005442364,0.8244505,0.0013805846,0.00012059894,0.0011561692,0.00075395475,0.00013061025,0.04848329],"genre_scores_gemma":[0.5889933,0.00031754034,0.4039295,0.00017458331,0.00005438213,0.0009535568,0.00033366028,0.000038027676,0.005205439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.989141,0.0070214276,0.0005796894,0.00072604505,0.0017945794,0.00073731656],"domain_scores_gemma":[0.9850922,0.012870237,0.0004678752,0.00027836813,0.00088108634,0.0004102081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010573301,0.0012251087,0.0012221669,0.005301709,0.0018807718,0.006577774,0.0017118745,0.0020511113,0.012069575],"category_scores_gemma":[0.013772346,0.0006988308,0.0023485527,0.0040457076,0.0032196383,0.0051545687,0.0029652105,0.0018146961,0.0005646104],"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":[0.0008849371,0.0008036183,0.011283562,0.00066098827,0.00048105628,0.0005017109,0.0017019132,0.16182294,0.0031007875,0.6507305,0.0021093045,0.16591865],"study_design_scores_gemma":[0.00019697256,0.00091065164,0.005063216,0.00029123266,0.00030098573,0.00018962169,0.0038140165,0.48955533,0.0021123672,0.48207784,0.01533701,0.00015074214],"about_ca_topic_score_codex":0.0074541424,"about_ca_topic_score_gemma":0.009544454,"teacher_disagreement_score":0.012069575,"about_ca_system_score_codex":0.005559618,"about_ca_system_score_gemma":0.0061566727,"threshold_uncertainty_score":0.05591762},"labels":[],"label_agreement":null},{"id":"W4389095366","doi":"10.1007/s12205-023-0355-y","title":"Deep Neural Network-based Inverse Analysis with Application to a Rockfill Dam","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Particle swarm optimization; Finite element method; Mathematical optimization; Computer science; Artificial neural network; Computation; Differential evolution; Minification; Inverse problem; Algorithm; Engineering; Machine learning; Mathematics; Structural engineering","score_opus":0.004473933977080738,"score_gpt":0.18547917806142922,"score_spread":0.18100524408434848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389095366","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":[0.4830285,0.00082276174,0.49573672,0.0014058951,0.00023791454,0.00008922476,0.0006069106,0.00515227,0.012919816],"genre_scores_gemma":[0.9101403,0.00020082032,0.08306309,0.000104873434,0.00003528473,0.000029472101,0.0003912885,0.00016973197,0.005865112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999007,0.00001822024,0.000004614229,0.000020170084,0.00003790282,0.000018313161],"domain_scores_gemma":[0.99974567,0.00012668279,0.00001541669,0.000020726162,0.00007725611,0.000014348409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035988825,0.0007125445,0.00065145537,0.00053851225,0.00042088865,0.00058854226,0.0006105952,0.0013550681,0.0026470632],"category_scores_gemma":[0.0008770938,0.000369332,0.000658341,0.00058307307,0.0004375761,0.00050030585,0.0006130607,0.0009904631,0.00041422923],"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":[0.00027549642,0.00023003183,0.0014051665,0.00013961918,0.00006974854,0.00039000344,0.00012172913,0.8491422,0.015004975,0.0023611516,0.0030020652,0.12785779],"study_design_scores_gemma":[0.00000429548,0.000011996308,0.00020790569,0.0000017870227,0.0000029687733,0.000011662824,0.000009997266,0.9984144,0.00076409214,0.00037261646,0.00019430499,0.000004036642],"about_ca_topic_score_codex":0.016695535,"about_ca_topic_score_gemma":0.020269169,"teacher_disagreement_score":0.016695535,"about_ca_system_score_codex":0.0004493296,"about_ca_system_score_gemma":0.0010495145,"threshold_uncertainty_score":0.033196688},"labels":[],"label_agreement":null},{"id":"W4391261053","doi":"10.1007/s12205-024-1587-1","title":"A Class Distance Penalty Deep Learning Method for Post-disaster Building Damage Assessment","year":2024,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Class (philosophy); Computer science; Engineering; Environmental science; Artificial intelligence","score_opus":0.004413261837910355,"score_gpt":0.26112926861764046,"score_spread":0.2567160067797301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391261053","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":[0.053224053,0.0007954853,0.94092155,0.00038808916,0.00019767118,0.00007521077,0.0003155615,0.0013793627,0.0027031105],"genre_scores_gemma":[0.74397093,0.0005425048,0.23538424,0.00044082492,0.00016596838,0.00014545029,0.0015886223,0.00020092941,0.01756055],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997111,0.000042949527,0.000015277528,0.00007619091,0.00009340448,0.000061093044],"domain_scores_gemma":[0.999438,0.00015915504,0.00004251866,0.000058013065,0.00024855928,0.000053758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008794021,0.0007299714,0.000870822,0.00077874766,0.00037345386,0.00063332607,0.001715627,0.0012538364,0.0029243687],"category_scores_gemma":[0.0013878847,0.00031146215,0.0005929241,0.0005951353,0.0003375703,0.0008987829,0.0010928154,0.001563915,0.00070576434],"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":[0.00028042725,0.0002956804,0.0032834134,0.00009430171,0.00009898977,0.000094392584,0.000046313875,0.3686954,0.0055713565,0.0040894914,0.009374667,0.6080755],"study_design_scores_gemma":[0.000003266782,0.000017890361,0.00023747384,0.000005033116,0.000006248266,0.000009962681,0.0000044815606,0.99804616,0.00064561743,0.00066150166,0.00035923504,0.0000032272453],"about_ca_topic_score_codex":0.009326679,"about_ca_topic_score_gemma":0.011848497,"teacher_disagreement_score":0.009326679,"about_ca_system_score_codex":0.0006280844,"about_ca_system_score_gemma":0.0014097751,"threshold_uncertainty_score":0.018544734},"labels":[],"label_agreement":null},{"id":"W4400514313","doi":"10.1007/s12205-024-1521-6","title":"Design Optimization of Concrete Gravity Dam Subjected to Near-field Earthquake Based on Novel Lean-bubble Sort Approach","year":2024,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; Université du Québec à Montréal","funders":"","keywords":"Gravity dam; sort; Bubble; Geotechnical engineering; Field (mathematics); Geology; Structural engineering; Engineering; Computer science; Finite element method; Mechanics; Mathematics; Physics","score_opus":0.008821234783110338,"score_gpt":0.20219258287994896,"score_spread":0.19337134809683862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400514313","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":[0.18932384,0.00024094353,0.8014195,0.00009955522,0.000024327888,0.00012290686,0.000071754475,0.00025853165,0.008438617],"genre_scores_gemma":[0.9361188,0.00016101988,0.061732605,0.000025960786,0.000005003278,0.00011734852,0.000051112238,0.000031413812,0.0017566642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998363,0.00003315948,0.000005880298,0.000023002172,0.000068666435,0.000032951477],"domain_scores_gemma":[0.99987006,0.00004521632,0.000027688357,0.000007023845,0.000037694892,0.000012420361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003862863,0.00062524603,0.0005350056,0.0006763387,0.00030469376,0.0006476933,0.0005135701,0.0007182022,0.0014524036],"category_scores_gemma":[0.0004599048,0.00038600893,0.00066155434,0.00029717459,0.0003685812,0.00040200053,0.0006241073,0.0002706587,0.00015588154],"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":[0.00004306368,0.000026047403,0.0006024092,0.00008593606,0.000016915537,0.00007257912,0.000045886798,0.9704422,0.011645783,0.0015835778,0.00014632192,0.015289278],"study_design_scores_gemma":[0.0000064755604,0.00011167153,0.00029301763,0.0000066209295,0.00001398557,0.000018966884,0.00003041796,0.99669254,0.0017958549,0.00056837226,0.0004565075,0.0000055678206],"about_ca_topic_score_codex":0.0031856634,"about_ca_topic_score_gemma":0.0040900833,"teacher_disagreement_score":0.0031856634,"about_ca_system_score_codex":0.00045648255,"about_ca_system_score_gemma":0.001075945,"threshold_uncertainty_score":0.006334245},"labels":[],"label_agreement":null},{"id":"W4406125533","doi":"10.1016/j.kscej.2024.100028","title":"Analysis of slope stability based on layered infiltration theory under wet-dry cycle conditions","year":2025,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","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":"Ontario Ministry of Transportation; National Key Research and Development Program of China; Guangxi Key Research and Development Program; Scientific Research Foundation of Hunan Provincial Education Department; National Natural Science Foundation of China; Education Department of Hunan Province","keywords":"Infiltration (HVAC); Geotechnical engineering; Stability (learning theory); Materials science; Environmental science; Geology; Composite material; Computer science","score_opus":0.007127403104097276,"score_gpt":0.21539731586214805,"score_spread":0.2082699127580508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406125533","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":[0.81763905,0.0001667382,0.17789511,0.00003242844,0.0000074959626,0.000047855287,0.00009815185,0.00018074008,0.0039322963],"genre_scores_gemma":[0.9972548,0.00005587453,0.0022821324,0.0000029537196,0.0000014693516,0.000012535489,0.000028491933,0.000006988524,0.00035484563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999231,0.0000145645,0.000005961228,0.000011693823,0.000031690004,0.000012943055],"domain_scores_gemma":[0.9998865,0.000033146785,0.000029372866,0.000009559866,0.00003422622,0.0000072484727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015194608,0.0002655377,0.00021808897,0.0004848992,0.0001290295,0.0002962736,0.00028396782,0.00026326717,0.00060015643],"category_scores_gemma":[0.00046908786,0.00011063228,0.00042918368,0.00024071835,0.00028872836,0.00035081265,0.0002582853,0.00016772933,0.0001340377],"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":[0.00010112068,0.000048430396,0.013315617,0.000097166245,0.00004289374,0.00044448423,0.00022768477,0.8664519,0.086412944,0.008966275,0.00018028653,0.023711206],"study_design_scores_gemma":[0.0000024250626,0.000040280454,0.0032568166,0.000004543906,0.0000063390326,0.000046857025,0.000024238821,0.9931931,0.002709155,0.00059559505,0.000113989205,0.000006737056],"about_ca_topic_score_codex":0.0034923507,"about_ca_topic_score_gemma":0.0021165905,"teacher_disagreement_score":0.0034923507,"about_ca_system_score_codex":0.0002720843,"about_ca_system_score_gemma":0.00027698747,"threshold_uncertainty_score":0.0069440603},"labels":[],"label_agreement":null},{"id":"W4406125660","doi":"10.1016/j.kscej.2024.100076","title":"Evaluating computer vision approaches for counting exposed aggregate number on pavement surface","year":2025,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"National Research Foundation of Korea; Ministry of Education","keywords":"Aggregate (composite); Surface (topology); Environmental science; Statistics; Computer science; Mathematics; Materials science; Geometry; Nanotechnology","score_opus":0.022425421305478938,"score_gpt":0.26849380194234335,"score_spread":0.2460683806368644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406125660","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":[0.49249777,0.011522099,0.4620249,0.0009129325,0.0010101047,0.00052755116,0.0031192738,0.012527511,0.015857803],"genre_scores_gemma":[0.83494693,0.0022532698,0.15291597,0.00033501544,0.00016582079,0.00018111136,0.0048019104,0.00017443472,0.0042256285],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982066,0.00020401546,0.00010830573,0.00056634657,0.0006335532,0.00028115444],"domain_scores_gemma":[0.99864775,0.00040680618,0.000182576,0.00012224325,0.0005307195,0.000109885914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018826114,0.002374277,0.0011986039,0.0034729424,0.0003850297,0.0015340144,0.0019484505,0.0017671731,0.0014935696],"category_scores_gemma":[0.0038138614,0.00033457286,0.0009529455,0.0018344336,0.00040339306,0.0014789229,0.00087526836,0.0010537313,0.0007539647],"study_design_candidate":"bench_or_experimental","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":[0.0007231091,0.00061039807,0.011530797,0.0006561853,0.00032795,0.00021680875,0.00007788827,0.32175845,0.015112597,0.0016503326,0.00903949,0.638296],"study_design_scores_gemma":[0.000014625099,0.00019553801,0.0035068737,0.000039528462,0.000057812947,0.00007829525,0.00004902587,0.9871243,0.00703704,0.0007072124,0.0011730156,0.000016671052],"about_ca_topic_score_codex":0.020128332,"about_ca_topic_score_gemma":0.01955183,"teacher_disagreement_score":0.020128332,"about_ca_system_score_codex":0.0017349974,"about_ca_system_score_gemma":0.0015356622,"threshold_uncertainty_score":0.040022373},"labels":[],"label_agreement":null},{"id":"W4408554236","doi":"10.1016/j.kscej.2025.100234","title":"Analysis of convergence deformation remediation of shield tunnels by lateral grouting","year":2025,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"China Railway","keywords":"Shield; Deformation (meteorology); Convergence (economics); Geology; Geotechnical engineering; Structural engineering; Engineering; Mining engineering; Petrology","score_opus":0.00318991880770073,"score_gpt":0.1877647009261185,"score_spread":0.18457478211841777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408554236","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":[0.9663822,0.00009859423,0.03197172,0.000022623964,0.000008875985,0.00001879505,0.000037151756,0.00010706038,0.0013529849],"genre_scores_gemma":[0.9979522,0.000035894867,0.0017448252,0.0000023751033,0.0000011754588,0.0000033628564,0.00001666702,0.0000046365167,0.00023882093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99976605,0.00003542286,0.000012617396,0.000029404977,0.00009272381,0.00006371155],"domain_scores_gemma":[0.99972993,0.000056951638,0.000077795274,0.000035154644,0.00007655952,0.000023669447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038659765,0.00037561203,0.0002655,0.0007766615,0.00026705855,0.0003729019,0.00033659113,0.00037639777,0.0005250616],"category_scores_gemma":[0.000600804,0.00014298379,0.00036709805,0.0003581482,0.00044776127,0.00042264585,0.00035089292,0.00017239213,0.00006130097],"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":[0.00043597078,0.00016971966,0.06972743,0.00027803262,0.00007815489,0.0012544066,0.00032664379,0.679827,0.17679168,0.0036451863,0.0004960754,0.06696978],"study_design_scores_gemma":[0.000009366711,0.00025389937,0.039819784,0.000016232205,0.00002850838,0.00021350112,0.00032315953,0.93438774,0.023877325,0.0006020592,0.00043855616,0.000029937308],"about_ca_topic_score_codex":0.0024692828,"about_ca_topic_score_gemma":0.0026706264,"teacher_disagreement_score":0.0024692828,"about_ca_system_score_codex":0.00026164594,"about_ca_system_score_gemma":0.00039337302,"threshold_uncertainty_score":0.004909873},"labels":[],"label_agreement":null},{"id":"W820816132","doi":"10.1007/s12205-015-0236-0","title":"Modeling snow and cold effects for classified highway traffic volumes","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truck; Snow; Traffic volume; Environmental science; Cold weather; Transport engineering; Range (aeronautics); Meteorology; Volume (thermodynamics); Engineering; Geography; Automotive engineering","score_opus":0.015104120691232846,"score_gpt":0.20892675061654603,"score_spread":0.19382262992531318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W820816132","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":[0.99251926,0.00010161694,0.004367524,0.00008243195,0.00002244485,0.000017285549,0.00036602374,0.00008702871,0.002436397],"genre_scores_gemma":[0.9984932,0.000034006927,0.0005570347,0.000008952545,0.00000801065,0.0000069841885,0.00015428339,0.000018230878,0.00071930344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983597,0.000027720518,0.0000062004497,0.000040080355,0.000021171558,0.000068814894],"domain_scores_gemma":[0.9993575,0.00039190092,0.00005006954,0.000027629781,0.000102957405,0.00006994706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004103074,0.0008602779,0.0006783611,0.00060213485,0.0007159065,0.0009710319,0.001146924,0.0014142867,0.0015011609],"category_scores_gemma":[0.0011159562,0.00071170024,0.0012695851,0.0006428059,0.000606024,0.00078517455,0.00040066702,0.00061881985,0.00015083929],"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":[0.00004309667,0.000037087855,0.0032192282,0.0000075196294,0.00001582418,0.000027864598,0.000013282793,0.99535596,0.00038327384,0.00015665626,0.000078913974,0.000661241],"study_design_scores_gemma":[0.0000069713874,0.000011125339,0.0016396776,0.0000014837095,0.000007708128,0.0000027386582,0.000014664441,0.9979899,0.00019731215,0.00008271637,0.000042009582,0.0000035889254],"about_ca_topic_score_codex":0.1797319,"about_ca_topic_score_gemma":0.120599486,"teacher_disagreement_score":0.1797319,"about_ca_system_score_codex":0.0020043175,"about_ca_system_score_gemma":0.0014532509,"threshold_uncertainty_score":0.3573715},"labels":[],"label_agreement":null}]}