{"meta":{"query_hash":"11d461f0cb65","filters":{"venue":"Sustainable and Resilient Infrastructure"},"cohort_total":21,"direct_labels_cover":0,"predictions_cover":21,"exported":21,"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/11d461f0cb65","api":"https://metacan.xera.ac/api/v1/cohort?venue=Sustainable+and+Resilient+Infrastructure"},"results":[{"id":"W2759538499","doi":"10.1080/23789689.2017.1345256","title":"Resilience-based design of urban centres: application to blast risk assessment","year":2017,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"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","keywords":"Resilience (materials science); Risk analysis (engineering); Probabilistic logic; Risk assessment; Process (computing); Computer science; Risk management; Probabilistic risk assessment; Order (exchange); Engineering; Computer security; Business","score_opus":0.0033471338032026116,"score_gpt":0.23130337186291342,"score_spread":0.2279562380597108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759538499","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":[0.38850003,0.0002548573,0.60722345,0.00020378867,0.00014722663,0.0011386075,0.00004532402,0.0001293685,0.0023573262],"genre_scores_gemma":[0.9921166,0.00011944775,0.007324889,0.000045397832,0.000094983836,0.00005601255,0.0000123633,0.000029413624,0.0002009331],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9979577,0.000097414995,0.00043833995,0.00047299062,0.00040757086,0.0006260055],"domain_scores_gemma":[0.9979899,0.00009738777,0.00022630546,0.0011507985,0.00028731205,0.00024827753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043915238,0.0003277591,0.00042032925,0.00029009365,0.0008656067,0.00021392581,0.00060456677,0.0002040976,0.00006535916],"category_scores_gemma":[0.0002658758,0.00027852334,0.00010148178,0.0003084807,0.00029537457,0.00034646806,0.00014069329,0.0003651183,0.0000036665194],"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":[0.00006155631,0.000021541637,0.060629774,0.00031316,0.00005198572,0.0000064667524,0.00029535335,0.9236596,0.0022004114,0.001376824,0.0021121425,0.009271147],"study_design_scores_gemma":[0.0013227066,0.00041750932,0.49192497,0.00013231681,0.0002540453,0.000005263942,0.004306433,0.45782205,0.01893517,0.01041911,0.013495621,0.00096479384],"about_ca_topic_score_codex":0.0001897096,"about_ca_topic_score_gemma":0.000022081587,"teacher_disagreement_score":0.60361654,"about_ca_system_score_codex":0.00020365835,"about_ca_system_score_gemma":0.00016390398,"threshold_uncertainty_score":0.9999667},"labels":[],"label_agreement":null},{"id":"W2978888093","doi":"10.1080/23789689.2019.1666340","title":"Robustness of Ontario power network under systemic risks","year":2019,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; McMaster University","funders":"","keywords":"Robustness (evolution); Systemic risk; Reliability engineering; Computer science; Environmental science; Risk analysis (engineering); Medicine; Engineering; Economics; Biology","score_opus":0.003498354607335733,"score_gpt":0.18828042063308484,"score_spread":0.1847820660257491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978888093","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":[0.98014796,0.0019991787,0.007030102,0.000014689142,0.0010395028,0.00053615426,0.000004093199,0.00008737473,0.009140967],"genre_scores_gemma":[0.99246305,0.00004217527,0.00017562397,0.000020024805,0.000049643375,0.000009425922,0.0000042697134,0.00002325256,0.0072125443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987557,0.000029162877,0.00030728534,0.00023164012,0.00016709219,0.000509148],"domain_scores_gemma":[0.99930733,0.000032127806,0.00006554586,0.0003786256,0.00012833806,0.000088042405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019528878,0.00020396331,0.0003513553,0.00006564949,0.00006079731,0.000029006736,0.00015780167,0.00020129429,0.00016919915],"category_scores_gemma":[0.0000102696595,0.00016492998,0.00006415253,0.00019679233,0.000057202313,0.00014162935,0.000080821876,0.0002718499,0.000004175258],"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":[0.000029625648,0.0000055607165,0.020609815,0.0012005487,0.00004612726,0.0000066866724,0.0005150393,0.96872616,0.00011623772,0.0050986013,0.0035836454,0.000061929975],"study_design_scores_gemma":[0.0072199656,0.0011723957,0.44781682,0.0039033792,0.0003369738,0.0008458574,0.053590745,0.063176416,0.0021814571,0.024149608,0.39163762,0.003968772],"about_ca_topic_score_codex":0.0010772623,"about_ca_topic_score_gemma":0.00029893237,"teacher_disagreement_score":0.90554976,"about_ca_system_score_codex":0.0003974699,"about_ca_system_score_gemma":0.0001746068,"threshold_uncertainty_score":0.6725649},"labels":[],"label_agreement":null},{"id":"W2982697584","doi":"10.1080/23789689.2019.1681822","title":"Toward adaptive infrastructure: the role of existing infrastructure systems","year":2019,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Smart Cities and Technologies","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":"University of Toronto","funders":"","keywords":"Critical infrastructure; Infrastructure planning; Adaptability; Risk analysis (engineering); Optimism bias; Business; Transport infrastructure; Green infrastructure; Optimism; Computer science; Process management; Engineering; Computer security; Environmental resource management; Economics; Construction engineering; Transport engineering","score_opus":0.005458719922978935,"score_gpt":0.19275736062681256,"score_spread":0.18729864070383362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982697584","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":[0.9666825,0.009029265,0.00036469253,0.000052480627,0.00073585985,0.0008992237,0.000043237902,0.00038463072,0.021808146],"genre_scores_gemma":[0.99839985,0.00034252013,0.00036977726,0.000027302676,0.00014085726,0.000027509695,0.000012002321,0.00005055899,0.0006296349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998181,0.000040714982,0.0004217829,0.00033455048,0.00033410662,0.0006878449],"domain_scores_gemma":[0.99891216,0.000108127024,0.00014350783,0.000553235,0.00019810352,0.00008489392],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014208462,0.0003994285,0.00046301135,0.00020343276,0.00019214101,0.000113733186,0.00046813305,0.00037344685,0.000096449796],"category_scores_gemma":[0.000065153334,0.00026579612,0.00009271025,0.00047874846,0.00026456272,0.00023503031,0.00031018813,0.0006498535,0.000003882229],"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":[0.00014292148,0.000012597659,0.050970484,0.0023581553,0.00042096147,0.000045505134,0.0057868185,0.59562445,0.003500757,0.30438903,0.0114148045,0.025333518],"study_design_scores_gemma":[0.0014517882,0.00049824757,0.075478315,0.00030881603,0.00014604577,0.00027305793,0.3549357,0.05835252,0.00795891,0.13405113,0.365209,0.0013364571],"about_ca_topic_score_codex":0.00009557973,"about_ca_topic_score_gemma":0.0000018438461,"teacher_disagreement_score":0.5372719,"about_ca_system_score_codex":0.000148175,"about_ca_system_score_gemma":0.000076993325,"threshold_uncertainty_score":0.99997944},"labels":[],"label_agreement":null},{"id":"W3004656262","doi":"10.1080/23789689.2019.1708175","title":"Temporal networks: a review and opportunities for infrastructure simulation","year":2020,"lang":"en","type":"review","venue":"Sustainable and Resilient Infrastructure","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"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","keywords":"Interdependence; Computer science; Complex network; Representation (politics); Field (mathematics); Interdependent networks; Data science; Dimension (graph theory); Distributed computing; Topology (electrical circuits); Engineering","score_opus":0.022621995403715157,"score_gpt":0.3119773876830161,"score_spread":0.2893553922793009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004656262","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":[0.0000024875455,0.9840067,0.012400555,0.000166612,0.000047685764,0.0026736266,0.00014339502,0.000090064204,0.00046887423],"genre_scores_gemma":[0.0003827115,0.99506885,0.0007078815,0.00027812016,0.00069057476,0.00030157986,0.0012050192,0.0000886796,0.0012766067],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748504,0.00017146305,0.00081946,0.0007401451,0.00018342945,0.00060044316],"domain_scores_gemma":[0.9981946,0.00020833232,0.000661655,0.0004254868,0.00024843926,0.00026152146],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023255001,0.00078601285,0.002354311,0.00020606205,0.0003803989,0.00020835506,0.00028899882,0.0002937971,0.00019695995],"category_scores_gemma":[0.000029859433,0.0006074005,0.00045452476,0.00041303464,0.0001560138,0.00020106186,0.00040865006,0.0006155624,3.976616e-7],"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":[0.00000893435,0.000008030727,0.00004774685,0.03762135,0.0003637795,0.000012292376,0.00003926486,0.0006901266,6.504545e-9,0.008736682,0.03441427,0.9180575],"study_design_scores_gemma":[0.0001578132,0.00007474828,0.0000063792127,0.004454369,0.002696891,0.000008057592,0.00037491735,0.0022970282,3.7534246e-8,0.009145172,0.98022056,0.000564035],"about_ca_topic_score_codex":0.000018310946,"about_ca_topic_score_gemma":6.302705e-7,"teacher_disagreement_score":0.94580626,"about_ca_system_score_codex":0.00009074756,"about_ca_system_score_gemma":0.00033588294,"threshold_uncertainty_score":0.9996377},"labels":[],"label_agreement":null},{"id":"W3049504666","doi":"10.1080/23789689.2020.1795571","title":"Resilient cities critical infrastructure interdependence: a meta-research","year":2020,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; McMaster University","funders":"","keywords":"Critical infrastructure; Resilience (materials science); Work (physics); Interdependence; Computer science; Data science; Risk analysis (engineering); Management science; Knowledge management; Sociology; Business; Engineering; Computer security; Social science","score_opus":0.021066002745740706,"score_gpt":0.29346116940260486,"score_spread":0.27239516665686414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049504666","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":[0.9218641,0.018345598,0.020295454,0.008565404,0.0009097816,0.0021964964,0.00020265016,0.0014971528,0.026123341],"genre_scores_gemma":[0.9965775,0.000506008,0.0010937732,0.00066195143,0.0004653173,0.00008655982,0.000025746529,0.000076300304,0.00050684926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99507886,0.00033425353,0.0007425603,0.0009669147,0.0012018695,0.0016755549],"domain_scores_gemma":[0.9973801,0.00040686957,0.00006308747,0.0006586841,0.0007148113,0.00077645923],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000699493,0.000692461,0.0009844699,0.0005106025,0.00085039,0.00046494894,0.0007469977,0.0005346705,0.0019216113],"category_scores_gemma":[0.0011313135,0.00053666526,0.0003649983,0.0015996099,0.0010939189,0.0007331128,0.000538372,0.0020628986,0.000029296905],"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":[0.00055012567,0.00008180248,0.007261479,0.0073351813,0.0032905925,0.0010096251,0.021185372,0.65927833,0.0060605765,0.09088369,0.18700264,0.016060593],"study_design_scores_gemma":[0.0029204132,0.0019273863,0.027351236,0.00023241396,0.0038327244,0.00048360456,0.1903912,0.1241251,0.020441541,0.23771597,0.38567373,0.004904667],"about_ca_topic_score_codex":0.000054719814,"about_ca_topic_score_gemma":0.00001129592,"teacher_disagreement_score":0.5351532,"about_ca_system_score_codex":0.00026860632,"about_ca_system_score_gemma":0.0002120501,"threshold_uncertainty_score":0.9997085},"labels":[],"label_agreement":null},{"id":"W3168198545","doi":"10.1080/23789689.2021.1931755","title":"Influence of chloride cations on pore solution chloride and critical chloride threshold of carbon steel rebar","year":2021,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Concrete Corrosion and Durability","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":"University of Waterloo","funders":"","keywords":"Rebar; Chloride; Cementitious; Cement; Brine; Inorganic chemistry; Chemistry; Carbon steel; Materials science; Nuclear chemistry; Metallurgy; Corrosion; Organic chemistry","score_opus":0.004648800971078696,"score_gpt":0.2204541414700441,"score_spread":0.2158053404989654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168198545","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":[0.9971296,0.0007571702,0.00005597346,0.00022242151,0.0001259414,0.00019475979,0.000023743522,0.000048945974,0.0014414287],"genre_scores_gemma":[0.9992141,0.00035882893,0.00005138544,0.00004428248,0.00004809261,0.000010722846,0.000016237374,0.00001699257,0.00023933258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987528,0.000021780665,0.00037242097,0.00029010442,0.00023431588,0.00032862817],"domain_scores_gemma":[0.9989062,0.00012406257,0.000052676067,0.0003801498,0.00039725535,0.00013965575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014065641,0.00019338554,0.0003039056,0.00011941746,0.000105209,0.000023713621,0.0000906167,0.00016380331,0.000019709672],"category_scores_gemma":[0.00047987132,0.00017789606,0.00005015048,0.00032190757,0.00022794404,0.00013628951,0.00011333482,0.0002754144,1.9474557e-7],"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":[0.0018639406,0.00018968848,0.10616408,0.014324044,0.00017432337,0.0004144961,0.006855594,0.45810163,0.26122242,0.14702886,0.0012845232,0.0023763815],"study_design_scores_gemma":[0.0011935923,0.0003157206,0.26178452,0.00038912916,0.00012669782,0.00008353715,0.0077820695,0.014256259,0.6963662,0.014227152,0.002854555,0.00062055676],"about_ca_topic_score_codex":0.00007085277,"about_ca_topic_score_gemma":0.000016578042,"teacher_disagreement_score":0.4438454,"about_ca_system_score_codex":0.000090196314,"about_ca_system_score_gemma":0.00013020587,"threshold_uncertainty_score":0.725439},"labels":[],"label_agreement":null},{"id":"W3205057944","doi":"10.1080/23789689.2021.1980299","title":"A comparison of concrete quantities for highway bridge projects: preconstruction estimates vs onsite records","year":2021,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Schedule; Bridge (graph theory); Cost estimate; Estimation; Transport engineering; Civil engineering; Duration (music); Engineering; Environmental science; Computer science","score_opus":0.010143193761697571,"score_gpt":0.2608075489353108,"score_spread":0.2506643551736132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205057944","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":[0.99074215,0.0020027107,0.0042034555,0.000039369992,0.0010765357,0.0004972099,0.000057350673,0.00016713404,0.0012140772],"genre_scores_gemma":[0.99077743,0.00018965082,0.008103405,0.000019134837,0.000221985,0.000044494467,0.00006105608,0.000040493087,0.0005423695],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859166,0.000022714068,0.00042251134,0.00029189631,0.00015113388,0.0005201101],"domain_scores_gemma":[0.9990483,0.00009659675,0.0001103058,0.00024365656,0.00042232344,0.00007882275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010376373,0.00026875132,0.0004869134,0.00015270487,0.00020059019,0.00008518756,0.00010035224,0.00019439012,0.000026529253],"category_scores_gemma":[0.00014275333,0.00024480105,0.00009066748,0.0002455435,0.00014291033,0.00025012073,0.00006880499,0.00023764672,4.279076e-7],"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":[0.0011764839,0.00004111589,0.6445409,0.024844963,0.0010534585,0.00016541206,0.017600063,0.09554314,0.06854069,0.063660294,0.05104652,0.031786945],"study_design_scores_gemma":[0.003739253,0.00097057316,0.16831,0.0010220687,0.00042235455,0.00041352902,0.05912636,0.048809297,0.6156664,0.02397084,0.07574462,0.001804707],"about_ca_topic_score_codex":0.00004657486,"about_ca_topic_score_gemma":0.000012391581,"teacher_disagreement_score":0.5471257,"about_ca_system_score_codex":0.000109805536,"about_ca_system_score_gemma":0.00013686028,"threshold_uncertainty_score":0.99826974},"labels":[],"label_agreement":null},{"id":"W3205605696","doi":"10.1080/23789689.2021.1974675","title":"Mixed strategy for power grid resilience enhancement under cyberattack","year":2021,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","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":"McMaster University","funders":"","keywords":"Robustness (evolution); Computer science; Centrality; Grid; Network topology; Distributed computing; Vulnerability (computing); Resilience (materials science); Computer network; Computer security; Mathematics","score_opus":0.008964121943325038,"score_gpt":0.2655688899466811,"score_spread":0.2566047680033561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205605696","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":[0.8420396,0.001455826,0.13113618,0.0007582203,0.0004050139,0.0011068555,0.00007185557,0.00011272192,0.022913754],"genre_scores_gemma":[0.9839925,0.000028007922,0.0027190472,0.00014961591,0.00033074582,0.00007929986,0.00015726816,0.000023093156,0.0125204185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982731,0.000062057574,0.0003131618,0.0005343264,0.00020496674,0.0006124189],"domain_scores_gemma":[0.9988395,0.00006939755,0.00011676962,0.00041656586,0.00042562163,0.00013212902],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001443918,0.00026188715,0.00030765845,0.00008170754,0.00039144556,0.00018991443,0.00017163744,0.000079702666,0.0011315296],"category_scores_gemma":[0.000012186884,0.00022963813,0.00013732535,0.00036343513,0.00009863171,0.00016739812,0.0001958529,0.0001955253,0.0000025411368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013641037,0.00024778498,0.011217892,0.00021236342,0.00040326428,0.00004562902,0.00041465386,0.017649405,0.005146651,0.73176754,0.21643458,0.016323801],"study_design_scores_gemma":[0.0018056806,0.00044802038,0.021517696,0.000092591275,0.00023169104,0.000011346667,0.0320774,0.0018713127,0.06549954,0.5019461,0.373274,0.0012246264],"about_ca_topic_score_codex":0.000048313676,"about_ca_topic_score_gemma":0.000009684005,"teacher_disagreement_score":0.22982144,"about_ca_system_score_codex":0.00007296544,"about_ca_system_score_gemma":0.0002451411,"threshold_uncertainty_score":0.99978155},"labels":[],"label_agreement":null},{"id":"W3205694144","doi":"10.1080/23789689.2021.1984634","title":"Air transportation as a central component of remote community resilience in northern Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Dunlap Institute for Astronomy and Astrophysics, University of Toronto","keywords":"Interdependence; Resilience (materials science); Community resilience; Context (archaeology); Extreme weather; Environmental resource management; Transport engineering; Business; Climate change; Environmental planning; Geography; Environmental science; Computer science; Engineering; Political science","score_opus":0.004482477401543018,"score_gpt":0.22523597063525727,"score_spread":0.22075349323371427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205694144","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":[0.98205984,0.00018980553,0.00003613311,0.0005883335,0.00013531218,0.0002795413,0.0000050531507,0.000012357916,0.016693607],"genre_scores_gemma":[0.99089766,0.0000744481,0.0001136034,0.00015648402,0.000019934798,0.000002206267,0.000028672612,0.000006590095,0.008700417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981366,0.00027640286,0.0003060828,0.00023329831,0.00049430836,0.00055331585],"domain_scores_gemma":[0.99920976,0.000061580504,0.00011503946,0.0002474725,0.00021670436,0.00014945086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002817183,0.00014227131,0.00022164658,0.00007936084,0.0005185547,0.000036802587,0.00027308796,0.00009125269,0.000117259966],"category_scores_gemma":[0.000098381795,0.00013422682,0.0000400675,0.00049310806,0.00029686198,0.00020464476,0.00006386001,0.0003552153,3.4816105e-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":[0.00018802303,0.00015180786,0.8347807,0.0005245905,0.00003749047,0.0006642167,0.12415112,0.010963211,0.00022766541,0.018715411,0.001888898,0.00770688],"study_design_scores_gemma":[0.00035552646,0.000034889083,0.74263304,0.000067583554,0.000013840584,0.0000017091753,0.2178239,0.000015800388,0.00021367373,0.0049640727,0.033726506,0.00014946477],"about_ca_topic_score_codex":0.9782402,"about_ca_topic_score_gemma":0.9993721,"teacher_disagreement_score":0.093672775,"about_ca_system_score_codex":0.00058167096,"about_ca_system_score_gemma":0.002791601,"threshold_uncertainty_score":0.54736114},"labels":[],"label_agreement":null},{"id":"W4297999343","doi":"10.1080/23789689.2022.2126624","title":"An integrated framework for bridge infrastructure resilience analysis against seismic hazard","year":2022,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":22,"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 Calgary; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Resilience (materials science); Computer science; Hazard; Risk analysis (engineering); Seismic hazard; Natural hazard; Engineering; Transport engineering; Construction engineering; Civil engineering; Business; Geography","score_opus":0.003937186978203433,"score_gpt":0.23517973362508848,"score_spread":0.23124254664688504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297999343","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":[0.7138471,0.00067971373,0.2830109,0.00015348208,0.00034185554,0.0008768406,0.00038161763,0.00041566638,0.00029280141],"genre_scores_gemma":[0.989903,0.00014782265,0.007863435,0.00055816025,0.00025598737,0.00025538052,0.00061560347,0.00008827815,0.00031235642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958463,0.0002466593,0.00075365836,0.0010784351,0.000703396,0.0013715812],"domain_scores_gemma":[0.9976892,0.00020357255,0.00018873207,0.0011449143,0.000347816,0.00042574824],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00062279624,0.0007048884,0.0009137436,0.0011809468,0.0017277466,0.0003173261,0.0009405785,0.0003879087,0.0005219856],"category_scores_gemma":[0.00020899199,0.0006516732,0.00042948217,0.0038970085,0.00032104322,0.0005979864,0.00027355817,0.0014306159,0.0000016401602],"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":[0.00014425076,0.000033092652,0.010935039,0.00027040488,0.00055198744,0.000040484247,0.0011730978,0.96593785,0.00041397137,0.00337458,0.0038994742,0.0132257445],"study_design_scores_gemma":[0.0009931147,0.0005638452,0.097363204,0.000027975519,0.0012374095,0.000053308748,0.024109866,0.72835135,0.00083258696,0.057682756,0.087127924,0.0016566727],"about_ca_topic_score_codex":0.0000896045,"about_ca_topic_score_gemma":0.000026597072,"teacher_disagreement_score":0.27605584,"about_ca_system_score_codex":0.0006882406,"about_ca_system_score_gemma":0.00026821307,"threshold_uncertainty_score":0.99959344},"labels":[],"label_agreement":null},{"id":"W4320712592","doi":"10.1080/23789689.2022.2164656","title":"Special collection on buried infrastructures","year":2023,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Underground infrastructure and sustainability","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data collection; Environmental planning; Business; Computer science; Engineering; Environmental science; Sociology","score_opus":0.0031143863045359293,"score_gpt":0.20095451594717606,"score_spread":0.19784012964264014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320712592","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":[0.88206476,0.000120341276,0.0002522068,0.000368966,0.0019542528,0.0007758076,0.000023192339,0.001238626,0.113201864],"genre_scores_gemma":[0.98632944,0.00020983006,0.00016138105,0.00020556067,0.0032732328,0.00004726272,0.00007772631,0.0000764336,0.009619156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777204,0.000057669804,0.00036406776,0.00046543078,0.0003894572,0.00095132366],"domain_scores_gemma":[0.9990547,0.000096384036,0.00004897994,0.00041948157,0.00015575504,0.00022471923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019401763,0.0004329487,0.0003555117,0.0005849259,0.00056090014,0.00018754917,0.00021067128,0.00034005684,0.0006189109],"category_scores_gemma":[0.00013228728,0.0003710554,0.00009865422,0.0013841476,0.00018988567,0.0002961997,0.00011954446,0.0005477546,0.000030124776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015392649,0.00001235956,0.0028941436,0.0004960901,0.00008220853,0.0001374166,0.0016500197,0.069980666,0.00030704273,0.018092697,0.8996211,0.0065722917],"study_design_scores_gemma":[0.0011644249,0.0003305488,0.17669572,0.000027633103,0.000040580875,0.000051094576,0.011147643,0.0039564986,0.0012657932,0.20441537,0.60010684,0.0007978584],"about_ca_topic_score_codex":0.00003275553,"about_ca_topic_score_gemma":0.000009445708,"teacher_disagreement_score":0.29951432,"about_ca_system_score_codex":0.0003768084,"about_ca_system_score_gemma":0.00010869463,"threshold_uncertainty_score":0.9998741},"labels":[],"label_agreement":null},{"id":"W4386282779","doi":"10.1080/23789689.2023.2253411","title":"A network-level management system to mitigate the global warming potential of road pavements","year":2023,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Asphalt Pavement Performance Evaluation","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 British Columbia","funders":"Technation Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Global warming; Pavement management; Work (physics); Transport engineering; Computer science; Operations research; Engineering; Environmental resource management; Climate change; Environmental science","score_opus":0.005985159654012329,"score_gpt":0.2237442528859197,"score_spread":0.21775909323190737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386282779","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":[0.9891013,0.00026422334,0.00461699,0.00012573834,0.00048851303,0.0012091721,0.00002582341,0.00024386813,0.0039243577],"genre_scores_gemma":[0.997683,0.00004957162,0.00034579122,0.00004745859,0.0001308927,0.00006637746,0.000027902872,0.000019001342,0.0016299887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99850905,0.000032644064,0.00030404137,0.00019834499,0.00039147036,0.0005644346],"domain_scores_gemma":[0.9995115,0.000007560048,0.000056138448,0.00025553035,0.00008578137,0.00008353713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036370978,0.00018174814,0.00016482096,0.00009791371,0.00023092504,0.000048322807,0.0001986636,0.00006797905,0.00002988531],"category_scores_gemma":[0.0000064894625,0.00013609993,0.000039320275,0.00077938556,0.00003407245,0.00012631279,0.00023079828,0.0000948465,0.000024182891],"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":[0.000027994683,0.0000034628445,0.0019266945,0.0011739864,0.000095355266,0.000036853868,0.0003120275,0.9671857,0.00006575486,0.0028690828,0.008431112,0.017871998],"study_design_scores_gemma":[0.0019245408,0.00025731785,0.47351554,0.0005687899,0.00027636005,0.000025121697,0.03801013,0.4544728,0.00061675126,0.0049032522,0.02469406,0.0007353168],"about_ca_topic_score_codex":0.00001793294,"about_ca_topic_score_gemma":0.0000027564577,"teacher_disagreement_score":0.51271284,"about_ca_system_score_codex":0.00024968918,"about_ca_system_score_gemma":0.000021467164,"threshold_uncertainty_score":0.5549994},"labels":[],"label_agreement":null},{"id":"W4386786241","doi":"10.1080/23789689.2023.2257511","title":"A novel method for quantifying risks to climate change events using conditional value at risk: a multi-unit residential building case study in London, Ontario","year":2023,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"CVAR; Vulnerability (computing); Climate change; Metric (unit); Risk management; Computer science; Risk analysis (engineering); Environmental resource management; Civil engineering; Environmental science; Expected shortfall; Business; Engineering; Operations management; Finance; Computer security","score_opus":0.06562239871486011,"score_gpt":0.36318438554405474,"score_spread":0.29756198682919466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386786241","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":[0.99274516,0.000038613158,0.004954714,0.00006153265,0.00014127565,0.0019101187,0.000097144424,0.00003801874,0.000013415693],"genre_scores_gemma":[0.9798902,0.000015470949,0.019214489,0.00007909828,0.00008291091,0.00017691466,0.000017549353,0.000028128079,0.0004952294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977759,0.00011912416,0.00033751113,0.00062299456,0.00031309092,0.0008313891],"domain_scores_gemma":[0.9993624,0.00012812884,0.00013249867,0.00019118864,0.00003679617,0.0001489649],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00082915503,0.0002701244,0.0003074856,0.0002571971,0.0013205581,0.000059338967,0.0001444006,0.00010392148,0.00007939894],"category_scores_gemma":[0.0001235668,0.00023768687,0.00007281769,0.0006236196,0.00006172133,0.00026962988,0.0010293169,0.00024531464,0.000006284518],"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":[0.00017526261,0.00011045414,0.895676,0.000103825725,0.000039082555,0.0009509718,0.013331401,0.08655574,0.0021103004,0.000065745066,0.00021872713,0.00066246995],"study_design_scores_gemma":[0.0024588185,0.00018546527,0.95246255,0.0000535681,0.000079286416,0.00025119324,0.031537857,0.010876799,0.000121267345,0.00065577746,0.00097411254,0.00034332045],"about_ca_topic_score_codex":0.11647139,"about_ca_topic_score_gemma":0.10221195,"teacher_disagreement_score":0.07567894,"about_ca_system_score_codex":0.0006473752,"about_ca_system_score_gemma":0.000037073685,"threshold_uncertainty_score":0.9999796},"labels":[],"label_agreement":null},{"id":"W4388098974","doi":"10.1080/23789689.2023.2272462","title":"Customizing a sustainability evaluation framework for Infrastructure projects in developing countries: the case study of Iran","year":2023,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":5,"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":"Sustainability; Analytic hierarchy process; Context (archaeology); Business; Developing country; Quality (philosophy); Sustainable development; Environmental economics; Process management; Environmental resource management; Engineering; Economic growth; Economics; Political science; Operations research","score_opus":0.016365010173341906,"score_gpt":0.32333484157219716,"score_spread":0.30696983139885525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388098974","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":[0.99510455,0.00003920155,0.00027580222,0.00045859217,0.00008722391,0.0038611977,0.000007447665,0.000026913734,0.0001390676],"genre_scores_gemma":[0.9989369,0.00004509983,0.00041957412,0.00013253296,0.00003437486,0.00027808093,0.000008959804,0.000018919449,0.0001255903],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99792093,0.00023890528,0.00038181318,0.000414867,0.00046162703,0.0005818793],"domain_scores_gemma":[0.9991289,0.00026115793,0.00017615463,0.00030014137,0.00006304218,0.00007065155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012458479,0.00022760089,0.00026698565,0.000117399766,0.0006161545,0.00006634633,0.00020297116,0.00017013426,0.00007623695],"category_scores_gemma":[0.00044113214,0.00015817692,0.0000453797,0.0009570932,0.0002733768,0.00029725657,0.0004018544,0.00026441299,0.0000011378813],"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":[0.0001935042,0.00013143108,0.8488578,0.00052782334,0.000052011397,0.00036121527,0.08625826,0.05010053,0.00003589599,0.0030236198,0.0010939674,0.009363933],"study_design_scores_gemma":[0.0011306682,0.00023269001,0.44353202,0.000025425055,0.00004691563,0.00003415268,0.4942724,0.0019538659,0.000039066585,0.05730928,0.0012222541,0.0002012503],"about_ca_topic_score_codex":0.0015663665,"about_ca_topic_score_gemma":0.00040311107,"teacher_disagreement_score":0.40801415,"about_ca_system_score_codex":0.0011655184,"about_ca_system_score_gemma":0.00015571484,"threshold_uncertainty_score":0.64502674},"labels":[],"label_agreement":null},{"id":"W4392552604","doi":"10.1080/23789689.2024.2325261","title":"Ensuring the resilience of multi-unit residential buildings (MURBs): a building information modeling (BIM)-based evaluation approach","year":2024,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resilience (materials science); Unit (ring theory); Building information modeling; Architectural engineering; Computer science; Construction engineering; Engineering; Operations management; Mathematics","score_opus":0.013846519493651862,"score_gpt":0.3066851898153401,"score_spread":0.29283867032168825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392552604","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":[0.8571204,0.00222862,0.12595679,0.00073698105,0.00044140496,0.0017457878,0.0000066727075,0.0001571646,0.011606167],"genre_scores_gemma":[0.99624443,0.000119949465,0.0025516166,0.00006749125,0.000115281466,0.00004555399,0.000011853918,0.000012219366,0.00083158567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735653,0.00028068756,0.00042240854,0.00033891777,0.001054154,0.0005473223],"domain_scores_gemma":[0.9989517,0.000111377565,0.00013888357,0.0002730918,0.00042862346,0.000096320735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023681864,0.0001965007,0.00017788871,0.00041547694,0.0010877071,0.0006497475,0.00046307343,0.0001479508,0.00004391358],"category_scores_gemma":[0.00044423583,0.00014067236,0.000085112304,0.0010260001,0.0004460517,0.0014103671,0.00019656116,0.00029291474,0.0000018938147],"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":[0.00009325586,0.000036014804,0.0013653015,0.0013097641,0.000050286882,0.000008651496,0.025107212,0.7562878,0.00034330628,0.18807523,0.00092992344,0.026393214],"study_design_scores_gemma":[0.00054905773,0.00004893245,0.0017935337,0.0002490572,0.00013188376,0.000002659295,0.10588505,0.8619106,0.00023709152,0.011525208,0.01736783,0.00029912527],"about_ca_topic_score_codex":0.0010899337,"about_ca_topic_score_gemma":0.00004851871,"teacher_disagreement_score":0.17655003,"about_ca_system_score_codex":0.00015299686,"about_ca_system_score_gemma":0.0005086613,"threshold_uncertainty_score":0.83658737},"labels":[],"label_agreement":null},{"id":"W4392763944","doi":"10.1080/23789689.2024.2327695","title":"Sustainable procurement of water supply infrastructure projects: a building information modeling-based approach","year":2024,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":5,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Procurement; Building information modeling; Process management; Computer science; Plug-in; Triple bottom line; Engineering management; Systems engineering; Business; Engineering; Sustainable development; Operations management","score_opus":0.005725173500084639,"score_gpt":0.21235120791827253,"score_spread":0.2066260344181879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392763944","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":[0.8970533,0.0028275303,0.042865753,0.0035363345,0.0007171037,0.00564264,0.000034848228,0.0010280743,0.046294417],"genre_scores_gemma":[0.9959532,0.000021625778,0.00095147354,0.00079382845,0.00058684574,0.00013238784,0.0002807315,0.000043804608,0.0012360949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971494,0.000019852492,0.00062817975,0.0004623131,0.0006216158,0.0011186219],"domain_scores_gemma":[0.9986292,0.000015549764,0.00016237797,0.00034304135,0.00079775974,0.000052051506],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00065876177,0.00045981572,0.00038049128,0.001388127,0.0004182331,0.0012678037,0.00038710953,0.00026517562,0.00014798461],"category_scores_gemma":[0.00010812526,0.00031365463,0.00012834267,0.0011074763,0.00011943625,0.0045089675,0.00046605847,0.00043697393,0.00000837735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042590543,0.00011903929,0.0047283033,0.039508633,0.00022045159,0.000060373906,0.0043025105,0.11882257,0.00078395725,0.78091896,0.043430343,0.006678958],"study_design_scores_gemma":[0.001307446,0.00008492806,0.00041076881,0.0002394725,0.00018220604,0.000013518618,0.018545294,0.33989453,0.0010989247,0.058405418,0.57906896,0.00074854825],"about_ca_topic_score_codex":0.00079221383,"about_ca_topic_score_gemma":0.0000030076437,"teacher_disagreement_score":0.72251356,"about_ca_system_score_codex":0.00022132514,"about_ca_system_score_gemma":0.00037728332,"threshold_uncertainty_score":0.9999316},"labels":[],"label_agreement":null},{"id":"W4396241255","doi":"10.1080/23789689.2024.2340378","title":"Resilience framework for urban water supply systems planning","year":2024,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Infrastructure Resilience and Vulnerability Analysis","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":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resilience (materials science); Water supply; Environmental planning; Business; Environmental resource management; Water resource management; Computer science; Environmental science; Environmental engineering","score_opus":0.003890544653795155,"score_gpt":0.2318624066934561,"score_spread":0.22797186203966094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396241255","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":[0.61841834,0.03324372,0.3396745,0.00039585776,0.0023328613,0.0017212887,0.000094330244,0.0013033183,0.002815784],"genre_scores_gemma":[0.9954377,0.00019999334,0.0018521616,0.00005261088,0.0005683515,0.00011325946,0.00005124743,0.00006420019,0.0016604674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976507,0.000041940595,0.00041309313,0.0005655545,0.00029342002,0.0010352795],"domain_scores_gemma":[0.99904853,0.00020280667,0.000022977534,0.00040081592,0.0001308708,0.00019400273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034127463,0.0003940113,0.00039467314,0.0003679448,0.00042616422,0.0005752394,0.00027161252,0.0003705944,0.000089306406],"category_scores_gemma":[0.00008738876,0.0002713703,0.0001461379,0.0004525752,0.00017110811,0.00046293534,0.00008489827,0.00057164143,0.000008726128],"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":[0.000064964,0.000009175879,0.0033977423,0.0055080047,0.0002239171,0.00016673011,0.00394872,0.8464544,0.0018731033,0.10735118,0.026119964,0.004882117],"study_design_scores_gemma":[0.0005220781,0.00030346823,0.003753016,0.00096265285,0.00033407254,0.0001735913,0.021841206,0.32954827,0.011408786,0.15609111,0.4734738,0.0015879557],"about_ca_topic_score_codex":0.000022759406,"about_ca_topic_score_gemma":8.800803e-7,"teacher_disagreement_score":0.5169061,"about_ca_system_score_codex":0.00019030906,"about_ca_system_score_gemma":0.00006632532,"threshold_uncertainty_score":0.99997383},"labels":[],"label_agreement":null},{"id":"W4410031953","doi":"10.1080/23789689.2025.2496053","title":"An integrated framework to sustainable and resilient infrastructure design and management in a changing climate","year":2025,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Infrastructure Resilience and Vulnerability Analysis","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":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Resilience (materials science); Climate change; Environmental resource management; Environmental planning; Business; Environmental science; Geology","score_opus":0.002862850638040187,"score_gpt":0.2340666956251208,"score_spread":0.23120384498708063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410031953","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":[0.8620453,0.003172199,0.12991887,0.0003687498,0.00020106809,0.0024401324,0.00001682514,0.00030625358,0.0015306191],"genre_scores_gemma":[0.97748566,0.0022025665,0.018656848,0.00047801185,0.000061313585,0.00015971375,0.000025488658,0.000059008275,0.0008714126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9958917,0.00020654322,0.0006374485,0.0010020895,0.00033444125,0.0019277821],"domain_scores_gemma":[0.9984912,0.00014165851,0.000073869014,0.0006861867,0.00021466549,0.00039240503],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00091405003,0.00068502175,0.00070836424,0.0024988349,0.0007270205,0.0004801892,0.00037138918,0.0004973184,0.0000521933],"category_scores_gemma":[0.00015383857,0.000604976,0.00006584054,0.0034026126,0.00024823117,0.0006007201,0.000549041,0.0008608419,0.0000011881057],"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":[0.00045887916,0.000049112485,0.0168031,0.0042284196,0.0002323616,0.00042402922,0.0052919732,0.8369145,0.00036632322,0.084733725,0.0018140947,0.048683494],"study_design_scores_gemma":[0.00404793,0.0009724742,0.23967616,0.0017931911,0.0006910157,0.0001386768,0.23787521,0.21480162,0.0029258311,0.22786933,0.06562228,0.00358628],"about_ca_topic_score_codex":0.00007273239,"about_ca_topic_score_gemma":0.000023685816,"teacher_disagreement_score":0.6221129,"about_ca_system_score_codex":0.00048150218,"about_ca_system_score_gemma":0.00010127534,"threshold_uncertainty_score":0.99964017},"labels":[],"label_agreement":null},{"id":"W4412469063","doi":"10.1080/23789689.2025.2532301","title":"Evaluating the effectiveness of high thermal resistance aggregates in asphalt mixtures for Urban Heat Island (UHI) mitigation","year":2025,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Urban Heat Island Mitigation","field":"Environmental Science","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":"Université du Québec","funders":"","keywords":"Urban heat island; Asphalt; Environmental science; Resistance (ecology); Materials science; Meteorology; Geography; Composite material","score_opus":0.0037381541707128983,"score_gpt":0.24926461376951697,"score_spread":0.24552645959880406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412469063","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":[0.99521154,0.0014997576,0.0003937427,0.00020076682,0.00008336363,0.0011984546,0.000013148133,0.000011138685,0.001388105],"genre_scores_gemma":[0.9975411,0.000017835573,0.00036560072,0.00006698461,0.000024731207,0.000114850154,0.000021094502,0.000008838166,0.0018389412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869347,0.000284758,0.00023244436,0.0002986382,0.00019152909,0.00029915862],"domain_scores_gemma":[0.99914646,0.00049377437,0.0000695371,0.00021168121,0.000050081195,0.000028458307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084614754,0.00014567628,0.00018572494,0.000069023394,0.0002360295,0.00003350727,0.00014780974,0.00010703648,0.000041564646],"category_scores_gemma":[0.00030662186,0.00009687855,0.000039094193,0.00037148083,0.0002166454,0.00014926578,0.00009619717,0.0001326433,4.1467106e-7],"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":[0.003114278,0.00008506769,0.7484397,0.0030774244,0.00008055694,0.000011697887,0.004489197,0.13184384,0.07262297,0.024962973,0.004652002,0.0066202516],"study_design_scores_gemma":[0.0016565829,0.00018834262,0.86052686,0.00029143965,0.000045087923,0.0000012635526,0.0011640377,0.0016414365,0.0470264,0.086442366,0.00084647234,0.000169688],"about_ca_topic_score_codex":0.00032097535,"about_ca_topic_score_gemma":0.00013665528,"teacher_disagreement_score":0.1302024,"about_ca_system_score_codex":0.00017862768,"about_ca_system_score_gemma":0.000053592652,"threshold_uncertainty_score":0.39505926},"labels":[],"label_agreement":null},{"id":"W4413403582","doi":"10.1080/23789689.2025.2549166","title":"GFRP-reinforced concrete segmental decks for maritime infrastructures: structural behaviour review","year":2025,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Structural Behavior of Reinforced Concrete","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":"Université de Sherbrooke","funders":"","keywords":"Fibre-reinforced plastic; Reinforced concrete; Structural engineering; Forensic engineering; Engineering","score_opus":0.0031179867851789896,"score_gpt":0.23387678620217803,"score_spread":0.23075879941699903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413403582","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":[0.9499313,0.029144302,0.0040119854,0.0004041257,0.0020817693,0.0059077092,0.00043171964,0.001162516,0.006924567],"genre_scores_gemma":[0.9777727,0.0031215162,0.0058952197,0.0016950973,0.00022427918,0.00037285362,0.00067003234,0.00014333839,0.0101049505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970104,0.000038812457,0.00079081865,0.0005916671,0.0003651624,0.0012031074],"domain_scores_gemma":[0.99852383,0.000106468615,0.00013605709,0.0006120911,0.00032952146,0.0002920248],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016592327,0.00075478235,0.00080224,0.0003514798,0.00049466064,0.00020994467,0.0005246419,0.00044179993,0.00039980793],"category_scores_gemma":[0.00014155178,0.0006665763,0.00026906733,0.0005516265,0.00026466805,0.00049645104,0.00026236454,0.00060804497,0.000003893506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013635999,0.0000015670989,0.020495722,0.06481779,0.0020301596,0.000513617,0.002061663,0.03209143,0.042696416,0.14582664,0.594364,0.09373742],"study_design_scores_gemma":[0.027649399,0.0019103795,0.11133199,0.013147966,0.006872748,0.0021362014,0.022501461,0.103345655,0.214238,0.048555404,0.43260592,0.015704885],"about_ca_topic_score_codex":0.000058806232,"about_ca_topic_score_gemma":0.0000017248427,"teacher_disagreement_score":0.17154159,"about_ca_system_score_codex":0.00040326855,"about_ca_system_score_gemma":0.00019211216,"threshold_uncertainty_score":0.99957854},"labels":[],"label_agreement":null},{"id":"W4414039922","doi":"10.1080/23789689.2025.2546180","title":"Supply chain network design with flexibility, resiliency, and sustainability","year":2025,"lang":"en","type":"article","venue":"Sustainable and Resilient Infrastructure","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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 Regina","funders":"","keywords":"Supply chain; Sustainability; Supply chain network; Supply chain management; Supply chain risk management; Network planning and design","score_opus":0.0045950742130735755,"score_gpt":0.21578967706264165,"score_spread":0.2111946028495681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414039922","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":[0.8531642,0.004990949,0.06947592,0.020242155,0.0007165733,0.011864057,0.000007455971,0.0010947152,0.038443994],"genre_scores_gemma":[0.97845703,0.00009771739,0.0023104094,0.0027565623,0.00046490383,0.00020951335,0.000027428867,0.00006001916,0.015616439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99612623,0.000111132475,0.00052807655,0.001209525,0.00046566647,0.0015593796],"domain_scores_gemma":[0.9976607,0.00020870188,0.00022728184,0.0008584533,0.0009719725,0.00007289138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015817822,0.0006254176,0.00057602103,0.00074558955,0.0011949425,0.00088756985,0.0004652918,0.00025419737,0.00011687477],"category_scores_gemma":[0.0005976601,0.0004979104,0.00007302168,0.0021511845,0.00067572447,0.0012217162,0.0013635114,0.0004782624,0.000003169561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016213859,0.00013757855,0.2362782,0.0075557292,0.0001874876,0.00045137902,0.00037498577,0.09757607,0.0000094460775,0.5771178,0.06552253,0.013167398],"study_design_scores_gemma":[0.0024308146,0.00016842254,0.12305466,0.00018667278,0.00026960974,0.00001504862,0.037334602,0.012926092,0.000024857136,0.62395173,0.19868354,0.00095395313],"about_ca_topic_score_codex":0.0008549474,"about_ca_topic_score_gemma":0.00007561945,"teacher_disagreement_score":0.13316102,"about_ca_system_score_codex":0.00044789576,"about_ca_system_score_gemma":0.00041838537,"threshold_uncertainty_score":0.9997473},"labels":[],"label_agreement":null}]}