{"meta":{"query_hash":"d9208c76c98f","filters":{"venue":"CivilEng"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"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/d9208c76c98f","api":"https://metacan.xera.ac/api/v1/cohort?venue=CivilEng"},"results":[{"id":"W3036016861","doi":"10.3390/civileng1010003","title":"Comparison of Multi-Criteria Group Decision-Making Methods for Urban Sewer Network Plan Selection","year":2020,"lang":"en","type":"article","venue":"CivilEng","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"ELECTRE; Multiple-criteria decision analysis; Analytic hierarchy process; TOPSIS; Computer science; Ranking (information retrieval); Operations research; Group decision-making; Ideal solution; Pairwise comparison; Selection (genetic algorithm); Analytic network process; Decision matrix; Decision support system; Management science; Data mining; Artificial intelligence; Engineering","score_opus":0.32461437520027836,"score_gpt":0.5428293398909022,"score_spread":0.21821496469062385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036016861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04407056,0.0009200827,0.9514888,0.00015627187,0.0021526208,0.000756698,0.000038751783,0.00014327807,0.00027296148],"genre_scores_gemma":[0.5654121,0.000003108892,0.43360636,0.00030675618,0.0005692432,0.000031820062,0.000005876021,0.000040070776,0.00002462728],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9936278,0.0009768016,0.0022805855,0.0012569701,0.0011775935,0.0006802795],"domain_scores_gemma":[0.9829074,0.014318027,0.0009965957,0.00075585174,0.00072758377,0.00029454433],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0065071285,0.00039670858,0.0012321373,0.00034851368,0.00042145848,0.0004473269,0.0014207778,0.0002683877,0.0015147725],"category_scores_gemma":[0.018999735,0.00033981862,0.00042202332,0.001763716,0.00010633107,0.00054020574,0.00047518915,0.00035969834,0.000091458925],"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":[0.00087648677,0.00022394494,0.035592686,0.000055008422,0.00007098386,0.000004243703,0.0049082343,0.010556107,0.019629855,0.0008669395,0.08897906,0.83823645],"study_design_scores_gemma":[0.0011342776,0.00026178258,0.009976169,0.00022316756,0.000043057695,0.0000060423727,0.0008700859,0.8990787,0.0009616296,0.0059049446,0.0811224,0.00041771177],"about_ca_topic_score_codex":0.0000048685392,"about_ca_topic_score_gemma":0.00004283667,"teacher_disagreement_score":0.8885226,"about_ca_system_score_codex":0.000069815535,"about_ca_system_score_gemma":0.000063992054,"threshold_uncertainty_score":0.9999054},"labels":[],"label_agreement":null},{"id":"W3113867750","doi":"10.3390/civileng2010002","title":"Analytical Investigation on the Effect of Test Setup on Bond Strength","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Bond strength; Bond; Reinforcement; Structural engineering; Slip (aerodynamics); Tension (geology); Bar (unit); Materials science; Characterization (materials science); Mechanics; Ultimate tensile strength; Engineering; Composite material; Physics; Adhesive; Nanotechnology; Thermodynamics","score_opus":0.01350797524799233,"score_gpt":0.2216754039886058,"score_spread":0.20816742874061347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113867750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920304,0.00004262083,0.0000080037635,0.00008534642,0.00015259132,0.000092799724,0.000012986945,0.000085274114,0.007489994],"genre_scores_gemma":[0.9997487,0.000005857573,0.00003947461,0.00003716103,0.000056682507,0.000008201749,0.000015524667,0.000017440227,0.00007093191],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993993,0.000026852531,0.0001396478,0.00011399806,0.00018042787,0.00013977307],"domain_scores_gemma":[0.9987304,0.00089264085,0.00002236789,0.00028147097,0.000020572174,0.00005254574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007988423,0.00012582976,0.00014594359,0.000038565202,0.000030877633,0.000018645183,0.00009635547,0.000061528925,0.00017443254],"category_scores_gemma":[0.00039105237,0.00008772016,0.00006546855,0.00017094304,0.000042978845,0.00004031734,0.000017170541,0.00021542778,0.00003797939],"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":[0.000116652285,0.0000076338165,0.07016993,0.0010468982,0.00048217602,0.0003416684,0.0012376199,0.044756524,0.69338965,0.032004975,0.025647514,0.13079874],"study_design_scores_gemma":[0.00023719376,0.00021216592,0.0094546955,0.00011533304,0.00004239105,0.0000059386302,0.000025225432,0.01913058,0.97028476,0.000039631774,0.0003287872,0.00012331386],"about_ca_topic_score_codex":0.0000022831787,"about_ca_topic_score_gemma":0.0000010730214,"teacher_disagreement_score":0.27689508,"about_ca_system_score_codex":0.0000419504,"about_ca_system_score_gemma":0.000010791025,"threshold_uncertainty_score":0.35771242},"labels":[],"label_agreement":null},{"id":"W3128604348","doi":"10.3390/civileng2010006","title":"An Integrated Approach for Failure Analysis of Natural Gas Transmission Pipeline","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline (software); Analytic hierarchy process; Risk analysis (engineering); Computer science; Rank (graph theory); Rough set; Reliability engineering; Process (computing); Hierarchy; Operations research; Data mining; Engineering; Business; Mathematics","score_opus":0.04645710278771242,"score_gpt":0.35218373138881554,"score_spread":0.3057266286011031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128604348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07246059,0.0010162096,0.9244812,0.0008879854,0.000070251095,0.00011040951,0.000088029876,0.000030599444,0.0008546825],"genre_scores_gemma":[0.95749176,0.00010867172,0.040764477,0.000057478657,0.000043584343,0.000007430244,0.00045152134,0.0000086660475,0.0010664113],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974341,0.00029184512,0.000719794,0.0005776078,0.00075743045,0.00021921907],"domain_scores_gemma":[0.9974267,0.0005645758,0.00019871395,0.0007077088,0.0009761522,0.00012613351],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016561488,0.00014419059,0.00066469074,0.00059730327,0.0001337977,0.000096411095,0.00053012714,0.000092301794,0.0009450613],"category_scores_gemma":[0.0007932444,0.0000971881,0.0007417126,0.0049880724,0.00006066657,0.00025773625,0.000026651653,0.00015558541,0.000004683431],"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":[0.00018511897,0.00051024987,0.004790235,0.000026220634,0.0010937656,0.00001209097,0.0021715304,0.058506858,0.02458478,0.0007895351,0.006252062,0.90107757],"study_design_scores_gemma":[0.0003368917,0.00003280386,0.0019650653,0.000009019272,0.0010400362,0.0000020374139,0.0049244063,0.96558505,0.0069152988,0.0015902108,0.017434385,0.00016480047],"about_ca_topic_score_codex":0.00003010407,"about_ca_topic_score_gemma":0.0003741755,"teacher_disagreement_score":0.9070782,"about_ca_system_score_codex":0.0000178375,"about_ca_system_score_gemma":0.00008942045,"threshold_uncertainty_score":0.99996823},"labels":[],"label_agreement":null},{"id":"W3179815903","doi":"10.3390/civileng2030030","title":"Discrete Rigid Block Analysis to Assess Settlement Induced Damage in Unreinforced Masonry Façades","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Masonry and Concrete Structural Analysis","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":"Carleton University","funders":"University of Nebraska-Lincoln","keywords":"Masonry; Unreinforced masonry building; Discrete element method; Structural engineering; Settlement (finance); Computer science; Block (permutation group theory); Geology; Engineering; Mathematics; Mechanics; Geometry; Physics","score_opus":0.01964985787938533,"score_gpt":0.25289101383021545,"score_spread":0.23324115595083011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179815903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98966074,0.00009933412,0.0008367728,0.00018210817,0.00013729405,0.00010816776,0.00005049795,0.0001399996,0.008785102],"genre_scores_gemma":[0.9985149,0.000040925384,0.0005107659,0.00012537185,0.00008127386,0.000030006948,0.00012020929,0.000022574633,0.00055400253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985511,0.0000659904,0.0003817757,0.00033975433,0.00025404137,0.0004073485],"domain_scores_gemma":[0.9991969,0.000087559616,0.000035123197,0.00045933182,0.00005263966,0.00016844299],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015062073,0.00024522585,0.0004425424,0.00033322928,0.000064908425,0.00010153205,0.00022504815,0.000095670344,0.0017751144],"category_scores_gemma":[0.00006303243,0.00024106508,0.0002347867,0.0020664604,0.000011538906,0.00016870578,0.0001091135,0.00023798582,0.0000388172],"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":[0.000020580865,0.00001196156,0.028018998,0.00023100198,0.003381653,0.00035148545,0.0019322248,0.8482942,0.1099851,0.0014979573,0.000700616,0.005574245],"study_design_scores_gemma":[0.0014673285,0.000098510296,0.2781417,0.00022996332,0.002421901,0.000013509562,0.004177927,0.57279885,0.12706187,0.00020106316,0.010960733,0.0024266338],"about_ca_topic_score_codex":0.00003742655,"about_ca_topic_score_gemma":0.0014105776,"teacher_disagreement_score":0.27549532,"about_ca_system_score_codex":0.000098560566,"about_ca_system_score_gemma":0.000027050732,"threshold_uncertainty_score":0.9991374},"labels":[],"label_agreement":null},{"id":"W3198115110","doi":"10.3390/civileng2030041","title":"An Adaptive Hybrid Model for Determining Subjective Causal Relationships in Fuzzy System Dynamics Models for Analyzing Construction Risks","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Causality (physics); Granularity; Causal model; Fuzzy logic; Process (computing); Computer science; Hierarchy; System dynamics; Risk management; Data mining; Econometrics; Risk analysis (engineering); Industrial engineering; Artificial intelligence; Mathematics; Engineering; Statistics; Economics","score_opus":0.23989264073979136,"score_gpt":0.4598233777129686,"score_spread":0.21993073697317725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198115110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30439046,0.000099568235,0.69061285,0.00010902329,0.00036933573,0.0019899695,0.0007785343,0.00007108889,0.0015791908],"genre_scores_gemma":[0.96880907,0.000023008532,0.028626656,0.000035440527,0.0002392827,0.0016436721,0.00049625797,0.00004312197,0.00008346547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970593,0.000789483,0.0007339273,0.0004915496,0.0002267503,0.00069900474],"domain_scores_gemma":[0.9950613,0.0032433392,0.0002400404,0.0002847865,0.000940986,0.00022959712],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019217745,0.00016597814,0.00035903548,0.0002577749,0.0015108681,0.000016422282,0.00011542493,0.00023466673,0.00000613144],"category_scores_gemma":[0.0007077982,0.00018469611,0.00008858391,0.00029224443,0.000046463014,0.00047029936,0.000045429686,0.000797923,0.000005419243],"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":[0.0023353682,0.00015093015,0.23664755,0.0027691207,0.000077738354,0.00001792629,0.0068452163,0.35451272,0.00005730919,0.37218487,0.00008324282,0.024318011],"study_design_scores_gemma":[0.0012638237,0.00010700048,0.013872677,0.00042856162,0.00002447218,0.0000058796163,0.0116359405,0.95026237,0.000012023473,0.022218013,0.0000036838546,0.0001655619],"about_ca_topic_score_codex":0.00015704824,"about_ca_topic_score_gemma":0.005440779,"teacher_disagreement_score":0.66441864,"about_ca_system_score_codex":0.0013398998,"about_ca_system_score_gemma":0.0018351583,"threshold_uncertainty_score":0.999789},"labels":[],"label_agreement":null},{"id":"W3205260785","doi":"10.3390/civileng2040049","title":"Mechanical Properties of Hybrid Structures Incorporating Nano-Silica and Basalt Fiber Pellets","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":6,"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 Manitoba; University of British Columbia","funders":"","keywords":"Materials science; Composite material; Basalt fiber; Toughness; Cracking; Pellets; Cementitious; Composite number; Fiber; Cement","score_opus":0.015329679537982619,"score_gpt":0.2011977689046466,"score_spread":0.185868089366664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205260785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463445,0.00066362816,0.00026969906,0.000020334634,0.00019839546,0.000113713395,0.000012017428,0.00008922195,0.0039985613],"genre_scores_gemma":[0.99877095,0.000044889053,0.0009362056,0.000032044347,0.00007583154,0.00000954976,0.000010985368,0.000027562402,0.00009199678],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919903,0.00003391292,0.00030686613,0.00014292779,0.00012998978,0.0001872866],"domain_scores_gemma":[0.99960005,0.000028042186,0.000054925407,0.00016500567,0.0001141104,0.00003784366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011835075,0.00013536215,0.00023594232,0.00004485777,0.00003932914,0.00003271639,0.000062993204,0.00003971562,0.000529731],"category_scores_gemma":[0.00012412663,0.00012348367,0.000026098394,0.00009754161,0.000044428456,0.000106066036,0.000099099794,0.000083482904,0.00000951092],"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":[0.000004566359,0.0000014110444,0.000026551023,0.00033668097,0.000033530006,0.0000074170807,0.00009705625,0.00032146505,0.9953521,0.0024481297,0.00018533481,0.0011857912],"study_design_scores_gemma":[0.00018306314,0.000016445594,0.00007571148,0.00011550783,0.000009633581,0.0000148903,0.00007483415,0.0032436869,0.9944597,0.00026917591,0.0013952934,0.0001420775],"about_ca_topic_score_codex":0.0000036378167,"about_ca_topic_score_gemma":0.0000015038404,"teacher_disagreement_score":0.0041365065,"about_ca_system_score_codex":0.000023857647,"about_ca_system_score_gemma":0.000030728286,"threshold_uncertainty_score":0.5800183},"labels":[],"label_agreement":null},{"id":"W3205626495","doi":"10.3390/civileng2040047","title":"Size Effect in FRP Shear-Strengthened RC Beams: Design Models versus Experimental Data","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Behavior of Reinforced Concrete","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Fibre-reinforced plastic; Reinforced concrete; Structural engineering; Beam (structure); Materials science; Shear (geology); Composite material; Engineering","score_opus":0.05283286885876874,"score_gpt":0.2750791365266477,"score_spread":0.22224626766787897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205626495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891567,0.0028673445,0.0034029318,0.000013260101,0.0011293783,0.00030107267,0.000039396367,0.0003960206,0.00269388],"genre_scores_gemma":[0.99220544,0.0000565007,0.0074336263,0.000014549474,0.000090477464,0.000038111462,0.00006435432,0.000057198216,0.000039758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871844,0.00007022612,0.00024022945,0.00036269214,0.00021834332,0.0003900857],"domain_scores_gemma":[0.99848145,0.0005266195,0.00002092367,0.0008510486,0.000017265385,0.0001026819],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013676002,0.00025433747,0.00028199606,0.000049108647,0.000039714887,0.000059519432,0.00043852662,0.00012595448,0.00038967287],"category_scores_gemma":[0.00012503116,0.0002730301,0.00005831096,0.00019384244,0.000029301753,0.0004867445,0.0002073253,0.0002063617,0.000037557606],"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":[0.00043838774,0.000009734283,0.00011121313,0.00017161698,0.00023983719,0.0007277285,0.002182376,0.5298622,0.381237,0.0002697107,0.00193672,0.082813464],"study_design_scores_gemma":[0.002986499,0.000109146495,0.00023315195,0.00009561551,0.00004336228,0.000014290413,0.00032450724,0.36912546,0.62623745,0.000042437587,0.0002851885,0.0005029025],"about_ca_topic_score_codex":0.00002270054,"about_ca_topic_score_gemma":0.0000029429916,"teacher_disagreement_score":0.24500047,"about_ca_system_score_codex":0.00016324758,"about_ca_system_score_gemma":0.000036574333,"threshold_uncertainty_score":0.99997216},"labels":[],"label_agreement":null},{"id":"W3212906182","doi":"10.3390/civileng2040053","title":"Knowledge Discovery by Analyzing the State of the Art of Data-Driven Fault Detection and Diagnostics of Building HVAC","year":2021,"lang":"en","type":"article","venue":"CivilEng","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"HVAC; Computer science; Status quo; Fault (geology); Association rule learning; Fault detection and isolation; Artificial intelligence; Machine learning; Data mining; Data science; Air conditioning; Reliability engineering; Engineering","score_opus":0.011254939682363617,"score_gpt":0.22490421092408638,"score_spread":0.21364927124172275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212906182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86480474,0.004030262,0.13056533,0.000014025301,0.00022346409,0.000052509185,0.00007256392,0.000020209225,0.00021688348],"genre_scores_gemma":[0.9981159,0.0014352154,0.00035595486,0.0000018922158,0.000018067609,0.0000024225058,0.000014261937,0.000011525377,0.00004474888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955463,0.000032147374,0.0001807515,0.00009173696,0.000067052075,0.00007367332],"domain_scores_gemma":[0.9993523,0.00021737331,0.00006754259,0.00030843198,0.000043128515,0.000011222863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106376145,0.00006368388,0.00011645525,0.000024565546,0.00003948342,0.00001327457,0.00015101439,0.000028453722,0.0000036184995],"category_scores_gemma":[0.00009565673,0.000046007553,0.000027461485,0.00021604406,0.00004382136,0.00016766395,0.00012904125,0.00008541458,5.4910235e-8],"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":[0.0000032280777,0.000024538449,0.0011028856,0.00016161398,0.000083793326,2.822977e-7,0.000343208,0.91358346,0.06700813,0.0002081963,0.00043628947,0.017044388],"study_design_scores_gemma":[0.00016343463,0.000011428965,0.0014935156,0.00023699495,0.00008201274,0.0000023870675,0.000091730086,0.6715862,0.3244911,0.00022626248,0.0015120797,0.00010280907],"about_ca_topic_score_codex":0.000006032624,"about_ca_topic_score_gemma":0.00010988857,"teacher_disagreement_score":0.25748298,"about_ca_system_score_codex":0.0000103870725,"about_ca_system_score_gemma":0.000012994448,"threshold_uncertainty_score":0.18761335},"labels":[],"label_agreement":null},{"id":"W4205216330","doi":"10.3390/civileng3010005","title":"Experimental Study on the Minimum Required Specimen Width to Maximum Particle Size Ratio in Direct Shear Tests","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Diameter ratio; Materials science; Aspect ratio (aeronautics); Particle size; Shear (geology); Composite material; Geology","score_opus":0.01638746326791867,"score_gpt":0.23526048828203175,"score_spread":0.21887302501411307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205216330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944225,0.00013809587,0.000088650806,0.0003606145,0.00034104788,0.00047718748,0.0000058199917,0.00029700669,0.0038690981],"genre_scores_gemma":[0.99929076,9.4173805e-7,0.000052170664,0.0001346492,0.00006576108,0.0002869261,0.0000010688171,0.00003672912,0.00013101683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99892974,0.000070370974,0.00020802989,0.0002234838,0.0002593979,0.0003089828],"domain_scores_gemma":[0.9993027,0.00025438797,0.000012335235,0.00035105966,0.0000053697627,0.00007414833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023233016,0.00016247151,0.00016761158,0.000047413072,0.0001331978,0.000041091476,0.0002357972,0.00002629675,0.00042778812],"category_scores_gemma":[0.00009243175,0.00013909879,0.000041385796,0.00031643594,0.00001353359,0.00004601814,0.00010502884,0.00026629824,0.00002335962],"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":[0.000051275227,0.0005401055,0.001040599,0.000011745569,0.00005659829,0.000059570324,0.0051203202,0.87278235,0.113997504,0.00079499674,0.004866712,0.00067823735],"study_design_scores_gemma":[0.008542999,0.008952951,0.40236965,0.00019556757,0.00009726191,0.00006124444,0.04040782,0.22197568,0.2568969,0.004657068,0.05165816,0.004184686],"about_ca_topic_score_codex":0.000018130037,"about_ca_topic_score_gemma":0.000011118807,"teacher_disagreement_score":0.65080667,"about_ca_system_score_codex":0.00017976756,"about_ca_system_score_gemma":0.000008201277,"threshold_uncertainty_score":0.5672284},"labels":[],"label_agreement":null},{"id":"W4205628981","doi":"10.3390/civileng3010003","title":"Experimental Study on the Reliability of Scaling Down Techniques Used in Direct Shear Tests to Determine the Shear Strength of Rockfill and Waste Rocks","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Scaling; Shear (geology); Materials science; Direct shear test; Shear strength (soil); Reliability (semiconductor); Particle size; Mechanics; Granular material; Geotechnical engineering; Composite material; Mathematics; Geology; Physics; Geometry; Thermodynamics; Soil water; Soil science","score_opus":0.011165821394544459,"score_gpt":0.23178935961721805,"score_spread":0.2206235382226736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205628981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855214,0.00015908538,0.00016414069,0.000049101774,0.00006669282,0.00048305604,0.000013804089,0.00011358698,0.00039836738],"genre_scores_gemma":[0.9996976,0.0000036233641,0.0001152555,0.000011814243,0.000019609024,0.0001227318,8.5659497e-7,0.000021858308,0.0000066269054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903816,0.000084610045,0.00028770312,0.00018537458,0.00023113683,0.00017300737],"domain_scores_gemma":[0.99916184,0.00037857238,0.000029903409,0.0003805604,0.0000130452145,0.00003607388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004048287,0.00014744815,0.00023837847,0.00008829772,0.00008588506,0.000011521506,0.00022547586,0.000036082885,0.000026135494],"category_scores_gemma":[0.000119319775,0.00009859576,0.000045598277,0.0002445057,0.000032878594,0.00002943595,0.00015593518,0.00031286664,1.4654016e-7],"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":[0.000050486,0.000358345,0.0025143023,0.000084889565,0.000034272674,0.0000048066813,0.005131126,0.90863603,0.07958248,0.00005812727,0.00011506638,0.0034300843],"study_design_scores_gemma":[0.0012919605,0.00324387,0.06427727,0.00033936134,0.000058935642,0.000015919504,0.021287087,0.122121595,0.7850311,0.00030438922,0.0011316794,0.0008968804],"about_ca_topic_score_codex":0.000104387495,"about_ca_topic_score_gemma":0.000019267602,"teacher_disagreement_score":0.7865144,"about_ca_system_score_codex":0.000063871994,"about_ca_system_score_gemma":0.0000066934517,"threshold_uncertainty_score":0.40206185},"labels":[],"label_agreement":null},{"id":"W4221115222","doi":"10.3390/civileng3020011","title":"Finite-Element Analysis of Adjacent Concrete Box Girders Transversely Post-Tensioned at the Top Flanges Only","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Tetra Tech (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Precast concrete; Finite element method; Transverse plane; Girder; Prestressed concrete; Engineering; Structural load; Parametric statistics; Cracking; Slab; Geotechnical engineering; Materials science; Composite material; Mathematics","score_opus":0.010859648570442358,"score_gpt":0.21277943062401117,"score_spread":0.2019197820535688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221115222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99687856,0.00074170565,0.00022956007,0.00032193493,0.00036272092,0.0002962747,0.00031558968,0.00015714811,0.0006965013],"genre_scores_gemma":[0.99911916,0.00006171235,0.00010843667,0.00019017265,0.00002035394,0.000037801205,0.00019489598,0.000030813022,0.00023666861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864596,0.000051743846,0.0003243214,0.0002094646,0.000453467,0.0003150306],"domain_scores_gemma":[0.9991289,0.00019952719,0.00007591425,0.0004567378,0.000065175795,0.00007379581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001492736,0.00020203898,0.0003448634,0.0002174462,0.000199786,0.000014292256,0.00030924415,0.00004562644,0.0054253694],"category_scores_gemma":[0.000023373348,0.00016950235,0.00030558408,0.0006001551,0.0000607885,0.000060050083,0.00011983276,0.0002320204,0.000011826623],"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":[0.00019192332,0.0000015588433,0.0043897913,0.00009856887,0.003215319,0.000053792224,0.009244175,0.8092631,0.15583032,0.00037225732,0.0025580444,0.014781134],"study_design_scores_gemma":[0.0062242816,0.0010252413,0.1759376,0.000094467665,0.013304902,0.00005371533,0.022736665,0.42826897,0.15594755,0.000019485617,0.1931932,0.003193935],"about_ca_topic_score_codex":0.000114363764,"about_ca_topic_score_gemma":0.00005787551,"teacher_disagreement_score":0.38099414,"about_ca_system_score_codex":0.00020740785,"about_ca_system_score_gemma":0.000027706204,"threshold_uncertainty_score":0.9954838},"labels":[],"label_agreement":null},{"id":"W4226097817","doi":"10.3390/civileng3020017","title":"Climate Change Effects on Heating and Cooling Demands of Buildings in Canada","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Heating degree day; Climate change; Environmental science; Human health; Global warming; Energy demand; Degree (music); Climatology; Extreme weather; Meteorology; Geography; Natural resource economics; Energy consumption; Engineering; Environmental health; Economics; Medicine; Ecology","score_opus":0.008436763262704311,"score_gpt":0.19454244577284338,"score_spread":0.18610568251013906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226097817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998214,0.00018539325,7.405899e-7,0.00009426075,0.000073644616,0.000081894665,0.0000047978165,0.00000443508,0.0013408227],"genre_scores_gemma":[0.9996353,0.000037201855,0.000026334314,0.00023990807,0.00002147171,0.00002975752,5.289645e-7,0.000004450861,0.000005089469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994913,0.000023092498,0.00007993426,0.00011865924,0.00013048737,0.0001565358],"domain_scores_gemma":[0.99980795,0.0000837646,0.000038595044,0.000046654826,7.111873e-7,0.000022319431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012776328,0.000052298456,0.00009511756,0.000015916334,0.00013941442,0.0000022818876,0.00004967393,0.00000573476,0.00009416068],"category_scores_gemma":[0.000017608096,0.000050675444,0.000008706479,0.00009551957,0.000015670441,0.000032285116,0.00022522171,0.000074239586,8.398213e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001218516,0.000015925572,0.9424558,0.00006549924,0.000002869481,0.0000230302,0.001560043,0.0013746748,0.0020744405,0.000048011774,0.00021819706,0.05214928],"study_design_scores_gemma":[0.00036412192,0.00010346323,0.9917416,0.00012882276,0.0000049146015,0.0000028107095,0.0010456162,0.002830066,0.0027456246,0.000038933867,0.00085606374,0.00013795255],"about_ca_topic_score_codex":0.2570233,"about_ca_topic_score_gemma":0.30156115,"teacher_disagreement_score":0.05201133,"about_ca_system_score_codex":0.00015687857,"about_ca_system_score_gemma":0.000006086977,"threshold_uncertainty_score":0.7479242},"labels":[],"label_agreement":null},{"id":"W4283776195","doi":"10.3390/civileng3030035","title":"WMA Overlay Optimization Based on the LTPP Database: Using the RSM Method","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"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":"Rut; Asphalt; Cracking; Overlay; Environmental science; Asphalt pavement; Geotechnical engineering; Response surface methodology; Materials science; Composite material; Geology; Mathematics; Computer science","score_opus":0.03857892781652569,"score_gpt":0.2827403382771324,"score_spread":0.24416141046060671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283776195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012895147,0.00015996938,0.97990745,0.00053915,0.0007693244,0.0005203913,0.000039116952,0.00018950255,0.004979929],"genre_scores_gemma":[0.9849969,0.000016094817,0.013718408,0.0007204709,0.00018084083,0.0001565348,0.00010268136,0.000048563004,0.00005946756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886376,0.0002183483,0.00016335829,0.00014024417,0.00042956212,0.00018472041],"domain_scores_gemma":[0.99919814,0.00026997415,0.00005019571,0.0004383867,0.00002224416,0.000021065618],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013682939,0.000115754876,0.000076875505,0.00006252959,0.00049633975,0.000035837922,0.00023790178,0.000020172283,0.002912463],"category_scores_gemma":[0.00005596505,0.00008176874,0.000036998797,0.00031253797,0.000014431249,0.00016162916,0.00007030814,0.0002696759,0.000012680532],"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":[0.000004181974,0.00000988868,0.000067948764,0.0000120867835,0.000010427881,5.643914e-7,0.0001814774,0.9949504,0.0013584166,0.0002137016,0.0022732422,0.00091762136],"study_design_scores_gemma":[0.0001782971,0.000019163257,0.00013372567,0.000016204509,0.00002475638,0.0000013520674,0.00025574447,0.99247485,0.0017037921,0.000014069807,0.005073956,0.00010408168],"about_ca_topic_score_codex":0.000006389529,"about_ca_topic_score_gemma":0.0000027979538,"teacher_disagreement_score":0.9721018,"about_ca_system_score_codex":0.00020566795,"about_ca_system_score_gemma":0.00003255507,"threshold_uncertainty_score":0.997999},"labels":[],"label_agreement":null},{"id":"W4297149747","doi":"10.3390/civileng3040048","title":"Behavior of Reinforcing Bar Connection of Hollow-Core Slabs to Steel Beams under In-Plane Forces","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Behavior of Reinforced Concrete","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":"University of Manitoba; Hatch (Canada)","funders":"","keywords":"Structural engineering; Slab; Shear (geology); Bar (unit); Materials science; Tension (geology); Grout; Precast concrete; Reinforcement; Core (optical fiber); Steel bar; Failure mode and effects analysis; Compression (physics); Composite material; Full scale; Engineering; Geology","score_opus":0.01662680695470789,"score_gpt":0.23601512277748748,"score_spread":0.2193883158227796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297149747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973591,0.000116654046,0.00030966377,0.000008322958,0.0005438196,0.00037671824,0.00004544241,0.00010321401,0.0011370593],"genre_scores_gemma":[0.9992849,0.000008324259,0.00037513583,0.0000145465965,0.00002720793,0.00009572372,0.000032002878,0.0000361453,0.00012597765],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883276,0.000013801015,0.00043283516,0.00016441726,0.00029459468,0.00026157193],"domain_scores_gemma":[0.9994661,0.00006667794,0.00008377273,0.00027953958,0.000038232287,0.000065660664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013139377,0.00016583304,0.00030282143,0.00027445145,0.000054397085,0.000007756484,0.00022794976,0.000063004445,0.0005521008],"category_scores_gemma":[0.000022313621,0.00019010903,0.00008225935,0.00035151088,0.000025134057,0.00013659341,0.000099545585,0.00024274077,0.0000047143967],"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":[0.00004038407,0.0000012900326,0.006204294,0.00013387749,0.000026405789,0.000015696643,0.001050673,0.25663772,0.7282671,0.0011360464,0.00007077928,0.006415785],"study_design_scores_gemma":[0.0019649132,0.0007250697,0.07497504,0.00020942166,0.00015555172,0.00007633798,0.005738929,0.007348168,0.906866,0.00009930026,0.0009725387,0.00086869526],"about_ca_topic_score_codex":0.00014099073,"about_ca_topic_score_gemma":0.000019856554,"teacher_disagreement_score":0.24928956,"about_ca_system_score_codex":0.00015664949,"about_ca_system_score_gemma":0.000020946896,"threshold_uncertainty_score":0.77524215},"labels":[],"label_agreement":null},{"id":"W4297464354","doi":"10.3390/civileng3040049","title":"Scrutinizing Competitiveness of Construction Companies Based on an Integrated Multi-Criteria Decision Making Model","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","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":"Concordia University","funders":"","keywords":"Ranking (information retrieval); Pillar; Competitive advantage; Preference; Process (computing); Index (typography); Fuzzy logic; Multiple-criteria decision analysis; Business; Industrial organization; Computer science; Operations research; Marketing; Economics; Engineering; Microeconomics","score_opus":0.18451493692073057,"score_gpt":0.43028770586225007,"score_spread":0.2457727689415195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297464354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5171591,0.00003934978,0.4803767,0.00003738868,0.0011704917,0.00028932624,0.00024158797,0.00010153359,0.000584499],"genre_scores_gemma":[0.84489113,0.000001384187,0.15467413,0.00024896255,0.000045578647,0.000034954173,0.000029019182,0.00004374704,0.0000311212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9927098,0.0014211456,0.001583939,0.001121336,0.0027122095,0.00045153475],"domain_scores_gemma":[0.9932404,0.0036711849,0.00080853293,0.00132507,0.00080596056,0.00014884025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0053696325,0.0003700903,0.0007860722,0.0013885199,0.00086393434,0.00037899855,0.0015636571,0.00010346132,0.0048012785],"category_scores_gemma":[0.0031647116,0.00033426037,0.00023342036,0.0015716584,0.00028258527,0.00057897525,0.0006363421,0.00051233463,0.000037157046],"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":[0.0011286756,0.00059212686,0.008492956,0.000018854113,0.000016461641,0.000033276952,0.001569017,0.7553178,0.012495732,0.0024536413,0.00019312002,0.21768832],"study_design_scores_gemma":[0.0014059802,0.00018568781,0.009030966,0.00029320284,0.000013373409,0.000022105938,0.005960157,0.9778285,0.000728757,0.0028092987,0.0013703277,0.0003516157],"about_ca_topic_score_codex":0.000019857307,"about_ca_topic_score_gemma":0.000049087776,"teacher_disagreement_score":0.327732,"about_ca_system_score_codex":0.00022534339,"about_ca_system_score_gemma":0.00022163236,"threshold_uncertainty_score":0.99991095},"labels":[],"label_agreement":null},{"id":"W4310148868","doi":"10.3390/civileng3040059","title":"Yield Characteristics of Cemented Paste Backfill","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Tailings Management and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Portland State University","keywords":"Cohesion (chemistry); Geotechnical engineering; Softening; Strain hardening exponent; Hardening (computing); Materials science; Composite material; Engineering","score_opus":0.015661089675740755,"score_gpt":0.17377944994358888,"score_spread":0.15811836026784812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310148868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497254,0.0005127936,0.00067990576,0.00006667986,0.0009559564,0.00015761516,0.000044667933,0.00025067938,0.047606334],"genre_scores_gemma":[0.9987727,0.00005319226,0.00004222106,0.000034014618,0.0000475248,0.000020340283,0.000015251464,0.000016730215,0.0009980594],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956167,0.000009310767,0.000142618,0.00006488793,0.00010593317,0.000115555296],"domain_scores_gemma":[0.9998022,0.000018703413,0.000027327527,0.00012404805,0.000010925003,0.00001680671],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000804265,0.00006491333,0.00009691957,0.000053987922,0.000049505426,0.000007740693,0.00011440802,0.000011305109,0.002114072],"category_scores_gemma":[0.000011280365,0.000068842426,0.000029904793,0.00008913383,0.000010012796,0.000043066662,0.000091139686,0.00009553507,0.000017573131],"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":[0.00027708267,0.0004717848,0.057541553,0.0044754785,0.0011916234,0.0001002644,0.013671106,0.04979616,0.268324,0.008554447,0.1963281,0.3992684],"study_design_scores_gemma":[0.0006708877,0.00028292247,0.01922872,0.00011052715,0.00009055346,0.0000035880314,0.0023724828,0.04691707,0.0182158,0.000169512,0.91123223,0.0007056905],"about_ca_topic_score_codex":0.0000045868333,"about_ca_topic_score_gemma":0.0000020120335,"teacher_disagreement_score":0.7149041,"about_ca_system_score_codex":0.000017942275,"about_ca_system_score_gemma":0.0000027071267,"threshold_uncertainty_score":0.99879813},"labels":[],"label_agreement":null},{"id":"W4313411076","doi":"10.3390/civileng3040064","title":"Assessment of Infrastructure Reliability in Expansive Clays Using Bayesian Belief Network","year":2022,"lang":"en","type":"article","venue":"CivilEng","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Reliability (semiconductor); Expansive; Variance (accounting); Bayesian network; Bayesian probability; Pipeline transport; Critical infrastructure; Computer science; Sensitivity (control systems); Risk analysis (engineering); Econometrics; Engineering; Mathematics; Business; Environmental engineering; Machine learning; Artificial intelligence; Computer security","score_opus":0.0050894514663998155,"score_gpt":0.23107261892350817,"score_spread":0.22598316745710836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313411076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792785,0.00022723667,0.014222984,0.000010014908,0.0018587289,0.00024148163,0.000018503808,0.000091206486,0.004051326],"genre_scores_gemma":[0.99167585,0.000017721108,0.007909479,0.000026600439,0.00029128834,0.000031960437,0.000008097113,0.00003408805,0.0000049047317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987796,0.000060957987,0.00035102648,0.0002028944,0.0002232682,0.00038225827],"domain_scores_gemma":[0.9994991,0.000049590144,0.00006487462,0.000304147,0.00003715206,0.000045137363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027658063,0.00016454703,0.00027232346,0.00010114289,0.000115402145,0.00000989958,0.0001893141,0.00006573569,0.00027037022],"category_scores_gemma":[0.000019106941,0.00018019891,0.00006553108,0.0003813873,0.000031211875,0.00010066694,0.00013777638,0.0005720627,2.2940625e-7],"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":[0.0000036357128,0.0000075399826,0.06226021,0.00006984571,0.000012104956,0.000010239667,0.00046410767,0.9310481,0.003806207,0.00031861782,0.00030950038,0.0016898763],"study_design_scores_gemma":[0.00077822653,0.00009655212,0.5604639,0.00017227707,0.000030174107,0.000024545174,0.0021099823,0.42540437,0.0015369589,0.0051469025,0.0036862483,0.00054985186],"about_ca_topic_score_codex":0.00003049287,"about_ca_topic_score_gemma":0.000017965014,"teacher_disagreement_score":0.5056437,"about_ca_system_score_codex":0.00048377467,"about_ca_system_score_gemma":0.000063853346,"threshold_uncertainty_score":0.73482984},"labels":[],"label_agreement":null},{"id":"W4313568938","doi":"10.3390/civileng4010002","title":"A Three-Phase Model to Evaluate Effects of Phase Diffusivity and Volume Fraction upon the Crack Propagation in Concrete Subjected to External Sulphate Attack","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Concrete and Cement Materials Research","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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Thermal diffusivity; Volume fraction; Mortar; Materials science; Cracking; Permeability (electromagnetism); Expansive; Aggregate (composite); Diffusion; Phase (matter); Penetration (warfare); Fraction (chemistry); Geotechnical engineering; Composite material; Mechanics; Geology; Chemistry; Thermodynamics; Chromatography; Engineering; Compressive strength","score_opus":0.03344628298674331,"score_gpt":0.32783939201789,"score_spread":0.2943931090311467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313568938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786431,0.000087393906,0.019787448,0.000087807464,0.00013899173,0.0010881322,0.000020637639,0.00011414799,0.00003232301],"genre_scores_gemma":[0.99947315,0.00009023014,0.00005708401,0.0000215245,0.00006325784,0.00021638472,0.000015072563,0.000028463064,0.00003482272],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988422,0.00008611522,0.00024763515,0.00021463714,0.000298841,0.00031061366],"domain_scores_gemma":[0.9994414,0.00012924828,0.000033575758,0.00022538273,0.000068631525,0.000101803445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006125043,0.0001426884,0.00021471998,0.0001959345,0.000056944667,0.00006126993,0.000109470304,0.000052995463,0.0000550966],"category_scores_gemma":[0.00017820072,0.0001222255,0.000029687559,0.00042409092,0.000017449272,0.00016880392,0.000090807065,0.0001293413,0.00006299765],"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":[0.00020138886,0.00001151812,0.00020238907,0.0002559087,0.000015394402,0.0000109989105,0.0005424431,0.007814447,0.97207475,0.0000059598865,0.00027225568,0.018592577],"study_design_scores_gemma":[0.0019050891,0.0002194208,0.0067395926,0.00015157617,0.000016697586,9.2723286e-7,0.000024456114,0.802927,0.18777962,0.000048334186,0.00006318837,0.00012405842],"about_ca_topic_score_codex":0.00007674108,"about_ca_topic_score_gemma":0.00016039087,"teacher_disagreement_score":0.7951126,"about_ca_system_score_codex":0.00007284128,"about_ca_system_score_gemma":0.00002376867,"threshold_uncertainty_score":0.4984211},"labels":[],"label_agreement":null},{"id":"W4313829087","doi":"10.3390/civileng4010003","title":"Studying and Analyzing the Seismic Performance of Concrete Moment-Resisting Frame Buildings","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Software; Structural engineering; Seismic analysis; Response spectrum; Frame (networking); Reinforced concrete; Earthquake simulation; Ground motion; Seismic loading; Incremental Dynamic Analysis; Computer science; Engineering; Civil engineering; Mechanical engineering","score_opus":0.013027115536114893,"score_gpt":0.21605323179994754,"score_spread":0.20302611626383266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313829087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974189,0.00092339196,0.00077019836,0.00006543011,0.000086926135,0.0000625906,0.000003112153,0.00019188128,0.00047758952],"genre_scores_gemma":[0.99823993,0.0014486464,0.00008511438,0.000038846647,0.00007844546,0.000011472785,0.000003652634,0.000020847954,0.0000730638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923146,0.000012322708,0.00023122485,0.00013429398,0.00013053148,0.00026016706],"domain_scores_gemma":[0.9996047,0.000104435,0.00004808528,0.00018431769,0.000023289314,0.000035156427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036957266,0.000120157536,0.00019657101,0.00015905379,0.00018675561,0.000030655938,0.0001493271,0.000038311624,0.000019667828],"category_scores_gemma":[0.000021484428,0.00009630958,0.000051089897,0.00059971504,0.000051193863,0.00015846745,0.00006745788,0.000165029,0.000016004911],"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":[0.000020903484,0.000006809016,0.1837675,0.0016375983,0.0009624349,0.00001433148,0.012658293,0.52784616,0.109976776,0.00016917234,0.0029765305,0.15996352],"study_design_scores_gemma":[0.00015786331,0.000016060943,0.0110168485,0.00015724123,0.000062838386,0.0000020856814,0.0011823385,0.9808253,0.004830169,0.000015188151,0.001588195,0.00014585626],"about_ca_topic_score_codex":0.000015659132,"about_ca_topic_score_gemma":8.548325e-7,"teacher_disagreement_score":0.45297918,"about_ca_system_score_codex":0.000021309772,"about_ca_system_score_gemma":0.0000063438356,"threshold_uncertainty_score":0.3927391},"labels":[],"label_agreement":null},{"id":"W4317809692","doi":"10.3390/civileng4010007","title":"Review of Accelerated Bridge Construction Systems for Bridge Superstructures and Their Adaptability for Cold Weather","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Adaptability; Bridge (graph theory); Precast concrete; Cold weather; Forensic engineering; Architectural engineering; Cold climate; Presentation (obstetrics); Climate change; Civil engineering; Engineering; Computer science; Environmental resource management; Environmental science; Meteorology; Geography; Geology; Ecology","score_opus":0.051801073092176034,"score_gpt":0.2656481200782919,"score_spread":0.2138470469861159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317809692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953186,0.03580197,0.0062280977,0.00008277238,0.0009913523,0.0023033994,0.0008122617,0.0004496056,0.00014458397],"genre_scores_gemma":[0.9938994,0.005663009,0.00006362265,0.000028273222,0.0000679429,0.00019385364,0.000045668527,0.000025542986,0.000012699924],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992269,0.000031195574,0.00030948268,0.000201749,0.000053769836,0.00017688063],"domain_scores_gemma":[0.9992276,0.00030542118,0.000040257248,0.00023711314,0.00013279809,0.000056852146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039459715,0.00013951851,0.0003388777,0.000042208332,0.000054615262,0.000019302946,0.00007465492,0.00007391639,0.00003405704],"category_scores_gemma":[0.00019990825,0.00011926603,0.00010069051,0.00016899715,0.00006133852,0.00006981017,0.000020834117,0.0000618928,0.0000011798115],"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":[0.00031585357,0.000056820398,0.016345082,0.2858839,0.0003910492,0.0000016727621,0.0028394083,0.0016090774,0.40960076,0.008543751,0.15383717,0.120575435],"study_design_scores_gemma":[0.005680515,0.0004998889,0.15914081,0.0141269695,0.00032921135,0.00006236089,0.0017873723,0.4140943,0.074385904,0.0012420535,0.32654947,0.0021011422],"about_ca_topic_score_codex":0.000017337714,"about_ca_topic_score_gemma":0.000014075628,"teacher_disagreement_score":0.4124852,"about_ca_system_score_codex":0.000035119498,"about_ca_system_score_gemma":0.000020542851,"threshold_uncertainty_score":0.48635274},"labels":[],"label_agreement":null},{"id":"W4318485442","doi":"10.3390/civileng4010008","title":"Assessing Effectiveness of Shape Memory Alloys on the Response of Bolted T-Stub Connections Subjected to Cyclic Loading","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":6,"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 Laval","funders":"","keywords":"Stub (electronics); Structural engineering; Dissipation; Materials science; Failure mode and effects analysis; Brittleness; Finite element method; Composite material; SMA*; Shape-memory alloy; Residual; Engineering; Mathematics","score_opus":0.02391644299764073,"score_gpt":0.27218297680558917,"score_spread":0.24826653380794844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318485442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981224,0.000044214707,0.00012939767,0.000049451293,0.00026855292,0.00020568649,0.000010289462,0.00040216916,0.00076785067],"genre_scores_gemma":[0.99979365,0.0000062167096,0.000050064686,0.000009939259,0.00003538189,0.00003205475,0.000005883682,0.000042579824,0.000024217738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998657,0.00038732472,0.00027532617,0.00020712869,0.00022383772,0.0002493721],"domain_scores_gemma":[0.99588376,0.0035283242,0.000057007575,0.00038940433,0.0000838969,0.000057581696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010422205,0.00016193454,0.00031899044,0.0004494962,0.00011552761,0.00003357205,0.00021014991,0.00007370863,0.00008667333],"category_scores_gemma":[0.0013827627,0.00013609808,0.00013338565,0.0018804499,0.00004408862,0.00009453773,0.00005718161,0.0001991825,0.00003858751],"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":[0.00007582739,0.000006319082,0.00089415937,0.000105849474,0.00014885601,0.0000041418257,0.00040444132,0.038853116,0.9588102,0.00008654355,0.000057348534,0.0005531611],"study_design_scores_gemma":[0.00016556578,0.00003705644,0.30179688,0.0003260755,0.000052756164,0.000001988861,0.0005421433,0.019729575,0.6771668,0.000037570022,0.000013737081,0.0001298469],"about_ca_topic_score_codex":0.00006299713,"about_ca_topic_score_gemma":0.00001902273,"teacher_disagreement_score":0.30090272,"about_ca_system_score_codex":0.00010193844,"about_ca_system_score_gemma":0.000020023484,"threshold_uncertainty_score":0.5549919},"labels":[],"label_agreement":null},{"id":"W4381679711","doi":"10.3390/civileng4020030","title":"Feasibility Study on the Effect of FRP Shear Reinforcements on the Behaviour of FRP-Reinforced Concrete Deep Beams","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fibre-reinforced plastic; Reinforcement; Materials science; Structural engineering; Deflection (physics); Finite element method; Shear (geology); Beam (structure); Composite material; Reinforced concrete; Engineering","score_opus":0.022676711673976866,"score_gpt":0.262768080116132,"score_spread":0.24009136844215515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381679711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99427325,0.000019601432,0.000052012827,0.000033878227,0.00045760797,0.002221328,0.000034518955,0.00030000412,0.0026077814],"genre_scores_gemma":[0.99949753,0.000008697318,0.000010875455,0.00003056119,0.000050082628,0.00015912263,0.000022003296,0.00006179829,0.00015930267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976228,0.00017861238,0.00065452023,0.00029967877,0.00075943465,0.0004849689],"domain_scores_gemma":[0.99707234,0.0012992887,0.00017697609,0.0012856133,0.000073141426,0.00009261481],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000981524,0.00041138844,0.0005349834,0.00014446586,0.00015175983,0.000033338125,0.00073070626,0.00014013528,0.00037584524],"category_scores_gemma":[0.00038964913,0.0002467523,0.00027071478,0.0005143863,0.00015455745,0.00011249903,0.00014808975,0.00052394636,0.000115793875],"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":[0.0023379978,0.000009993004,0.15039465,0.0013961765,0.0024789623,0.00014602499,0.023455827,0.5253796,0.26994166,0.007482047,0.004786778,0.012190273],"study_design_scores_gemma":[0.0038429669,0.0047956803,0.17463148,0.00041998603,0.0004509204,0.0000052360847,0.0033274828,0.053966776,0.75754446,0.000025642465,0.00008887688,0.0009004931],"about_ca_topic_score_codex":0.00007787803,"about_ca_topic_score_gemma":0.000001234954,"teacher_disagreement_score":0.4876028,"about_ca_system_score_codex":0.000114514674,"about_ca_system_score_gemma":0.00001606827,"threshold_uncertainty_score":0.99999845},"labels":[],"label_agreement":null},{"id":"W4381684714","doi":"10.3390/civileng4030040","title":"Soil–Structure Interaction Effects on Seismic Responses of a Conventional and Isolated Bridge Subjected to Moderate Near-Fault and Far-Field Records","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EnGlobe (Canada); École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Isolator; Acceleration; Peak ground acceleration; Seismology; Displacement (psychology); Geotechnical engineering; Shear (geology); Geology; Spectral acceleration; Structural engineering; Soil water; Deck; Incremental Dynamic Analysis; Soil structure interaction; Nonlinear system; Engineering; Ground motion; Soil science; Finite element method; Physics","score_opus":0.008884030277599113,"score_gpt":0.2393809101827513,"score_spread":0.23049687990515216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381684714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806803,0.00008552547,0.0011786392,0.00014273854,0.0002064278,0.00008638409,0.000020564474,0.000137175,0.00007450533],"genre_scores_gemma":[0.9993714,0.00018799493,0.000027063199,0.00020233892,0.000051809526,0.0000083445375,0.000025221774,0.0000163933,0.000109429966],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945396,0.000026766988,0.00014544286,0.00014997245,0.00008135474,0.00014252134],"domain_scores_gemma":[0.9996275,0.00016855042,0.0000249585,0.000099126075,0.000028939448,0.000050933555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006921829,0.000112377784,0.00016962239,0.00019428715,0.00006145418,0.00003346285,0.00003849368,0.00007112867,0.000030262645],"category_scores_gemma":[0.000059460974,0.0001111789,0.00003270526,0.0003147463,0.000012667009,0.000107047745,0.000022256703,0.00014567396,0.000012786649],"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":[0.0023470523,0.000045052744,0.01249493,0.0015198535,0.0008210405,0.000078948135,0.004803801,0.22688113,0.49581596,0.00004739144,0.018113663,0.23703118],"study_design_scores_gemma":[0.00038865863,0.00015049182,0.0457653,0.00020283775,0.000033485478,0.000012117786,0.00006130927,0.9028051,0.049686637,0.000071684866,0.0006714722,0.00015094128],"about_ca_topic_score_codex":0.000053067324,"about_ca_topic_score_gemma":0.000043435102,"teacher_disagreement_score":0.67592394,"about_ca_system_score_codex":0.00001805793,"about_ca_system_score_gemma":0.00000996625,"threshold_uncertainty_score":0.4533744},"labels":[],"label_agreement":null},{"id":"W4389924904","doi":"10.3390/civileng4040069","title":"Developing a Sprayed-Glass Fiber-Reinforced Polymer Retrofitting System for Decommissioned Wooden Utility Poles","year":2023,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro","keywords":"Retrofitting; Fibre-reinforced plastic; Materials science; Composite number; Ultimate tensile strength; Composite material; Glass fiber; Structural engineering; Structural material; Corrosion; Engineering","score_opus":0.02754530731306989,"score_gpt":0.26205241098740395,"score_spread":0.23450710367433406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389924904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776652,0.00029402514,0.011016455,0.00011897946,0.0012818036,0.00072879466,0.000056578698,0.003925127,0.0049130665],"genre_scores_gemma":[0.9950243,0.000009396745,0.0027994863,0.000018684384,0.00020904947,0.00012748416,0.00007375449,0.0000993062,0.0016385197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99808836,0.000024698737,0.0005346538,0.0003272009,0.00027393966,0.00075116707],"domain_scores_gemma":[0.99890053,0.00029038728,0.000091162554,0.00045560882,0.00008339166,0.00017892302],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002928053,0.00033994383,0.00040256765,0.00021816681,0.0002726544,0.000090024536,0.0003680666,0.00021533851,0.00011934144],"category_scores_gemma":[0.00014127648,0.00034274007,0.00019120566,0.00050800067,0.00003307726,0.0002604392,0.00012258612,0.00022567574,0.00019258],"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":[0.0003203028,0.0000017286504,0.0053732377,0.0091682095,0.000989774,0.00016977858,0.0042041433,0.01760725,0.55608267,0.027406897,0.01291435,0.36576167],"study_design_scores_gemma":[0.0015164547,0.000047345726,0.006692312,0.00088603224,0.000104307765,0.000039014587,0.0016461426,0.23312294,0.7481897,0.000040623032,0.0065094484,0.0012056837],"about_ca_topic_score_codex":0.000035855377,"about_ca_topic_score_gemma":0.000002758873,"teacher_disagreement_score":0.36455598,"about_ca_system_score_codex":0.0002751193,"about_ca_system_score_gemma":0.000062192725,"threshold_uncertainty_score":0.9999025},"labels":[],"label_agreement":null},{"id":"W4391592405","doi":"10.3390/civileng5010009","title":"Finite Element Model of Concrete-Filled, Fiber-Reinforced Polymer Tubes for Small-Scale Wind Turbine Towers","year":2024,"lang":"en","type":"article","venue":"CivilEng","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Turbine; Finite element method; Materials science; Structural engineering; Scale (ratio); Fiber; Scale model; Composite material; Engineering; Mechanical engineering; Aerospace engineering; Physics","score_opus":0.0165055310186781,"score_gpt":0.22785867715252744,"score_spread":0.21135314613384934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391592405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95741975,0.003997686,0.027777927,0.00008330045,0.0011510119,0.0010329834,0.0004398657,0.0009052545,0.007192196],"genre_scores_gemma":[0.99111694,0.00008673585,0.0032595021,0.000039377715,0.00015261634,0.000077012184,0.00009596483,0.0001036172,0.0050682207],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851006,0.000007349289,0.0004979167,0.00028237564,0.00022203349,0.0004802534],"domain_scores_gemma":[0.99920636,0.00020402475,0.00003057994,0.00035728005,0.00006727203,0.00013448641],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001042611,0.00033289287,0.0003776168,0.00017967624,0.000049457925,0.000057074012,0.0002612001,0.00015953588,0.00068051385],"category_scores_gemma":[0.000026448297,0.00032146205,0.00026865734,0.00017805236,0.00006501086,0.0001986865,0.00005914956,0.00021101981,0.000034257704],"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":[0.00006112674,2.5862286e-7,0.00001314811,0.0007933747,0.00024355623,0.0000074998898,0.0010765675,0.46541777,0.5071824,0.0016141967,0.0016879248,0.021902148],"study_design_scores_gemma":[0.00046683953,0.00006576123,0.0000058315327,0.00013882344,0.00009607366,0.0000037270502,0.00006534964,0.61532104,0.38162062,0.000020248575,0.0018981209,0.00029758413],"about_ca_topic_score_codex":0.000017522649,"about_ca_topic_score_gemma":0.0000014718262,"teacher_disagreement_score":0.14990325,"about_ca_system_score_codex":0.0000956016,"about_ca_system_score_gemma":0.000050363295,"threshold_uncertainty_score":0.99992377},"labels":[],"label_agreement":null},{"id":"W4409607306","doi":"10.3390/civileng6020023","title":"Energy Dissipation Technologies in Seismic Retrofitting: A Review","year":2025,"lang":"en","type":"review","venue":"CivilEng","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dissipation; Retrofitting; Seismic retrofit; Energy (signal processing); Architectural engineering; Engineering; Structural engineering; Computer science; Environmental science; Physics; Reinforced concrete","score_opus":0.013582170316521607,"score_gpt":0.2549828782031689,"score_spread":0.24140070788664728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409607306","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.525153e-8,0.9846518,0.008411315,0.000013434935,0.00038764972,0.00024253396,0.000010255068,0.0014777111,0.004805197],"genre_scores_gemma":[0.00009363303,0.9989668,0.000105112544,0.000010150249,0.00005626058,0.00026881206,0.00007792888,0.00006943193,0.00035186682],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986525,0.00003327402,0.0006064838,0.00028814698,0.00010454106,0.0003150187],"domain_scores_gemma":[0.99927485,0.00015780533,0.00007133043,0.00045710916,0.000013474616,0.000025437992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019645366,0.0003970985,0.0013026923,0.0004732047,0.00002182207,0.000020746966,0.00031615334,0.0003647907,0.000011780156],"category_scores_gemma":[0.00015577751,0.00037693916,0.00024179039,0.00089594343,0.000013498555,0.000058818798,0.00006601044,0.0005162422,0.00001825246],"study_design_candidate":"design_other","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":[4.608142e-8,0.000002636921,4.5794786e-7,0.14287785,0.000021682648,0.0000062964027,0.000002945813,0.0014555342,6.8704374e-8,0.00009034072,0.0016667228,0.8538754],"study_design_scores_gemma":[0.000024226965,0.0000025303843,1.2224959e-7,0.24402969,0.0001075445,0.0000037471646,0.0000025499228,0.007956347,0.000002024079,0.000033095173,0.7475795,0.00025862278],"about_ca_topic_score_codex":0.0000040204345,"about_ca_topic_score_gemma":0.0000047638105,"teacher_disagreement_score":0.8536168,"about_ca_system_score_codex":0.00020095152,"about_ca_system_score_gemma":0.000048031645,"threshold_uncertainty_score":0.9998683},"labels":[],"label_agreement":null},{"id":"W4410160557","doi":"10.3390/civileng6020025","title":"Value of Bayesian Pre-Posterior Information for Enhancing Life-Cycle Cost Analysis of Highway Investments","year":2025,"lang":"en","type":"article","venue":"CivilEng","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian probability; Value of information; Value (mathematics); Statistics; Econometrics; Computer science; Economics; Transport engineering; Business; Mathematics; Engineering; Artificial intelligence","score_opus":0.02717210178211833,"score_gpt":0.3425236930181485,"score_spread":0.3153515912360302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410160557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8347488,0.000053995926,0.15305777,0.00015473168,0.0005678848,0.0006405746,0.00006153991,0.00002538669,0.010689321],"genre_scores_gemma":[0.99808264,0.000011651741,0.0011410072,0.00020177744,0.000013006277,0.000040351828,0.000019554485,0.0000023707457,0.0004876661],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833673,0.000053573658,0.00090096187,0.00016362841,0.00041332096,0.00013177909],"domain_scores_gemma":[0.99838877,0.00042099683,0.00048521304,0.00037613272,0.00029004648,0.00003885165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012126365,0.00008762413,0.00032725118,0.0013593177,0.000091290654,0.00007236966,0.00033376823,0.000047086603,0.00029899532],"category_scores_gemma":[0.00087977893,0.00007463613,0.0001684432,0.0022013441,0.000059810198,0.00079381256,0.000112774076,0.00004239551,0.0000074173263],"study_design_candidate":"design_other","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":[0.00030171932,0.000095123425,0.15591735,0.0004624783,0.0014302474,1.5393705e-7,0.005360538,0.012395519,0.0020129513,0.028765744,0.0036114727,0.7896467],"study_design_scores_gemma":[0.0015219443,0.00011707956,0.45720407,0.000188759,0.0009617235,2.9965054e-7,0.0026504416,0.48082656,0.019683927,0.0058992226,0.030655574,0.00029037945],"about_ca_topic_score_codex":0.00004105671,"about_ca_topic_score_gemma":0.00018584094,"teacher_disagreement_score":0.78935635,"about_ca_system_score_codex":0.000025779069,"about_ca_system_score_gemma":0.000092281254,"threshold_uncertainty_score":0.32737893},"labels":[],"label_agreement":null}]}