{"meta":{"query_hash":"b4cee4e533db","filters":{"venue":"Sustainable Cities and Society"},"cohort_total":171,"direct_labels_cover":0,"predictions_cover":171,"exported":171,"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/b4cee4e533db","api":"https://metacan.xera.ac/api/v1/cohort?venue=Sustainable+Cities+and+Society"},"results":[{"id":"W1992508681","doi":"10.1016/j.scs.2014.04.008","title":"What can we learn from Malay vernacular houses?","year":2014,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Architecture and Cultural Influences","field":"Arts and Humanities","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Universiti Putra Malaysia; University of Reading","keywords":"Vernacular; Malay; Modernization theory; Value (mathematics); Quality (philosophy); Geography; Architectural engineering; Aesthetics; Sociology; Engineering; Political science; Computer science; Law; Art; Linguistics","score_opus":0.010855460356277281,"score_gpt":0.20221710198244858,"score_spread":0.1913616416261713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992508681","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":[0.9680197,0.005225416,0.00003072324,0.0045670513,0.00039524355,0.00016566335,0.000021768916,0.0001430811,0.021431332],"genre_scores_gemma":[0.89393985,0.002099859,0.000044013173,0.0027341025,0.00084428507,0.000015159043,0.000020521775,0.000017617558,0.10028459],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908364,0.00003923184,0.00013022708,0.00021763865,0.00015409083,0.00037516336],"domain_scores_gemma":[0.99956393,0.0000613913,0.000052423184,0.00013824533,0.00010750372,0.00007650362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010894331,0.00016640751,0.00019091423,0.000012606143,0.0009917517,0.000847843,0.00012505213,0.00006146537,0.0007364979],"category_scores_gemma":[0.000012439472,0.000120431025,0.0001413067,0.000022638598,0.0004630273,0.0004947498,0.00009086728,0.00016252136,0.000008495913],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010521698,0.000015997677,0.0002863919,0.00017641067,0.00012924269,0.00000881445,0.56824297,0.000054308945,0.000017988421,0.39601317,0.028434914,0.006609237],"study_design_scores_gemma":[0.00012227945,0.000043704495,0.00011812718,0.000024244015,0.000019097219,6.4762594e-7,0.42001018,0.000058093498,0.000022568618,0.029175092,0.5502693,0.00013664294],"about_ca_topic_score_codex":0.0029607485,"about_ca_topic_score_gemma":0.00042877998,"teacher_disagreement_score":0.52183443,"about_ca_system_score_codex":0.000033790828,"about_ca_system_score_gemma":0.000028293456,"threshold_uncertainty_score":0.817577},"labels":[],"label_agreement":null},{"id":"W1994268798","doi":"10.1016/j.scs.2012.09.003","title":"Environmental impact assessment of nuclear assisted hydrogen production via Cu–Cl thermochemical cycles","year":2012,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Atomic Energy of Canada Limited","keywords":"Hydrogen production; Hydrogen; Global-warming potential; Environmental science; Nuclear plant; Thermal; Chemistry; Production (economics); Global warming; Life-cycle assessment; Environmental chemistry; Climate change; Greenhouse gas; Nuclear engineering; Thermodynamics; Physics; Ecology; Engineering","score_opus":0.005171010482778769,"score_gpt":0.2195792331315818,"score_spread":0.21440822264880305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994268798","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":[0.9967751,0.0014300524,0.000037958438,0.000029088214,0.000034709792,0.00009690756,0.000005535887,0.00010842043,0.0014822158],"genre_scores_gemma":[0.99915266,0.00032806958,0.00019923266,0.000018311544,0.00013242825,0.000008924806,0.000018522693,0.00003197166,0.000109906054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918306,0.000010389438,0.00016127499,0.0001287535,0.00013783338,0.0003787075],"domain_scores_gemma":[0.9996894,0.000026908087,0.000034898203,0.00012462604,0.000018478733,0.000105663596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011581453,0.0001536475,0.00019088219,0.000012553394,0.000101024125,0.000014764927,0.00006986716,0.00011636979,0.00010364727],"category_scores_gemma":[0.000011900091,0.000136122,0.00013410024,0.00007168173,0.0001775807,0.0001781528,0.00006197414,0.00016360654,9.1588174e-7],"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":[0.000008349511,0.000121606725,0.0038312878,0.00083863497,0.00019995427,6.709375e-7,0.002517303,0.00014774587,0.98955375,0.0003239411,0.0009575135,0.0014992629],"study_design_scores_gemma":[0.0012393246,0.0001481375,0.07650099,0.00015376136,0.0002641526,0.00008182765,0.04934318,0.013041769,0.84968096,0.0042829695,0.003790044,0.0014729033],"about_ca_topic_score_codex":0.00001959821,"about_ca_topic_score_gemma":3.0100253e-8,"teacher_disagreement_score":0.13987279,"about_ca_system_score_codex":0.00021487933,"about_ca_system_score_gemma":0.000012160347,"threshold_uncertainty_score":0.5550894},"labels":[],"label_agreement":null},{"id":"W2021110023","doi":"10.1016/j.scs.2014.07.003","title":"Development and application of ‘thermal radiative power’ for urban environmental evaluation","year":2014,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Roof; Albedo (alchemy); Scale (ratio); Radiative transfer; Urban heat island; Civil engineering; Thermal; Urban climate; Urban planning; Urban area; Meteorology; Architectural engineering; Environmental engineering; Geography; Engineering; Cartography","score_opus":0.004400966304492775,"score_gpt":0.19884282995571714,"score_spread":0.19444186365122437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021110023","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":[0.99175817,0.00011871245,0.006183638,0.000048760117,0.000010215369,0.0005326425,0.000004861287,0.000007711189,0.0013352677],"genre_scores_gemma":[0.9959794,0.000013013755,0.0030429165,0.000069008674,0.000015705416,0.00012614235,0.000028516637,0.0000065480817,0.0007187207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994102,0.000023245537,0.00011487722,0.00015606637,0.00014444554,0.00015117851],"domain_scores_gemma":[0.9997904,0.000042438514,0.00005720584,0.00006400515,0.000009831145,0.000036145622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046219464,0.00007044242,0.00008058585,0.000007380007,0.00019689009,0.000012483584,0.000031557855,0.00004528236,0.000048649774],"category_scores_gemma":[0.000013394652,0.00006764282,0.000025045136,0.00003000718,0.00016826039,0.00013232825,0.00004896896,0.000027130429,0.0000011061238],"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":[0.000116555646,0.00027237614,0.34013167,0.0006893432,0.00016720354,3.357061e-7,0.30244333,0.0019273784,0.031140499,0.038748972,0.011703957,0.2726584],"study_design_scores_gemma":[0.0023890077,0.00029711766,0.6756023,0.000011985228,0.000078630335,0.0000017028495,0.10842323,0.07696016,0.010045845,0.006306683,0.11942528,0.00045804234],"about_ca_topic_score_codex":0.000040988,"about_ca_topic_score_gemma":0.000002449337,"teacher_disagreement_score":0.33547065,"about_ca_system_score_codex":0.00018533142,"about_ca_system_score_gemma":0.000013649317,"threshold_uncertainty_score":0.2758394},"labels":[],"label_agreement":null},{"id":"W2039122734","doi":"10.1016/j.scs.2013.05.007","title":"Thermal energy storage with phase change material—A state-of-the art review","year":2013,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Phase Change Materials Research","field":"Engineering","cited_by":288,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Thermal energy storage; Phase change; Energy storage; Phase-change material; Latent heat; Environmental science; Sensible heat; Volume (thermodynamics); Process engineering; Thermal energy; Thermal; Computer data storage; Computer science; Engineering; Meteorology; Thermodynamics; Engineering physics","score_opus":0.014417065662027613,"score_gpt":0.23483295922352523,"score_spread":0.22041589356149763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039122734","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":[0.98922175,0.008168765,0.00013118747,0.00029563153,0.00011367312,0.0006656392,0.00006254166,0.000083105326,0.0012576816],"genre_scores_gemma":[0.98168993,0.0114106415,0.00006315743,0.00046056794,0.00013504864,0.0004985488,0.0000244933,0.000050535637,0.0056670886],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991304,0.000040750503,0.00014295596,0.0001111448,0.00016829562,0.00040644244],"domain_scores_gemma":[0.999547,0.000016761596,0.000033102537,0.00021114085,0.00012769522,0.000064284344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016818126,0.00014136813,0.00022534232,0.000016042537,0.00010933605,0.00007621946,0.00013213116,0.000038697926,0.0005054821],"category_scores_gemma":[0.0000058166597,0.00009318481,0.000056881072,0.00013245098,0.00014317573,0.00025255882,0.00010553934,0.0000686979,0.0000025593297],"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":[0.00018968678,0.00046708563,0.00023685097,0.14608677,0.0012883862,0.00015879273,0.04803986,0.000784151,0.13535193,0.0060413787,0.57384783,0.08750727],"study_design_scores_gemma":[0.0073817135,0.0013270592,0.0025785202,0.0052158926,0.00027342633,0.00007129936,0.051260967,0.017077493,0.20571488,0.0032436466,0.7029509,0.0029042084],"about_ca_topic_score_codex":0.0003105139,"about_ca_topic_score_gemma":0.0000038298695,"teacher_disagreement_score":0.14087087,"about_ca_system_score_codex":0.00007242783,"about_ca_system_score_gemma":0.000029005088,"threshold_uncertainty_score":0.55346745},"labels":[],"label_agreement":null},{"id":"W2047511381","doi":"10.1016/j.scs.2013.11.009","title":"Cycling characteristics in cities with cold weather","year":2013,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cycling; Greenhouse gas; Environmental science; Cold climate; Cold weather; Climate change; Global warming; Transport engineering; Baseline (sea); Engineering; Meteorology; Geography; Ecology; Political science","score_opus":0.0075748775091355695,"score_gpt":0.23140179473499511,"score_spread":0.22382691722585954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047511381","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":[0.9835117,0.00023641795,0.00004655861,0.00074078725,0.000037156726,0.0003164412,0.000004872843,0.000048724993,0.015057329],"genre_scores_gemma":[0.9700032,0.00025252864,0.00015070778,0.00035176252,0.00011396998,0.00004751947,0.000004331988,0.000010076233,0.029065909],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9989667,0.000035230027,0.00016147987,0.00018143651,0.00017441524,0.0004807318],"domain_scores_gemma":[0.9995614,0.00006333881,0.000051666106,0.00009480196,0.0001489216,0.000079849895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036598762,0.000105434214,0.00018228458,0.000020642427,0.00057251623,0.00024676713,0.0001034885,0.000097987504,0.000275202],"category_scores_gemma":[0.000019621202,0.000088475004,0.00005152176,0.00017281815,0.0005721322,0.0005148835,0.000024586387,0.00014187787,0.0000019269764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007678388,0.00003589666,0.8781508,0.00021259577,0.000018956092,0.000009872024,0.07973041,0.0000012597488,0.000015687401,0.04006753,0.0012897772,0.00045949328],"study_design_scores_gemma":[0.0002995437,0.00002885879,0.3533409,0.000033472163,0.0000106774105,1.09690006e-7,0.618799,0.000041434727,0.000016308937,0.006175619,0.021046031,0.00020809399],"about_ca_topic_score_codex":0.014575056,"about_ca_topic_score_gemma":0.00050446775,"teacher_disagreement_score":0.5390685,"about_ca_system_score_codex":0.00011052405,"about_ca_system_score_gemma":0.00017547791,"threshold_uncertainty_score":0.991987},"labels":[],"label_agreement":null},{"id":"W2076382156","doi":"10.1016/j.scs.2011.04.001","title":"Exergy as a potential tool for sustainable drying systems","year":2011,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Sustainability; Exergy efficiency; Energy analysis; Environmental economics; Environmental science; Efficient energy use; Process engineering; Environmental engineering; Energy (signal processing); Waste management; Engineering; Economics; Mathematics; Ecology","score_opus":0.01634441431141983,"score_gpt":0.20033507722369787,"score_spread":0.18399066291227803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076382156","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":[0.99295735,0.0014550223,0.0003080763,0.00010241722,0.00009263864,0.0005148877,0.00000819304,0.00011873609,0.004442686],"genre_scores_gemma":[0.9582929,0.00019391571,0.00018043282,0.00017802071,0.00024601756,0.00012375615,0.000019991021,0.0000027472493,0.040762223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9986127,0.000027158601,0.0001873375,0.00029489468,0.00013143764,0.0007464975],"domain_scores_gemma":[0.9993871,0.000062923515,0.00006388189,0.000055679815,0.00034181465,0.00008863776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043487706,0.00015797456,0.00019822422,0.000008204613,0.0010979392,0.0002471891,0.00013477464,0.00013989117,0.00004910553],"category_scores_gemma":[0.00004833861,0.00007371346,0.00018219643,0.00012459117,0.00008439323,0.00029165394,0.00012668112,0.00008989991,0.0000013006488],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048351855,0.0002959763,0.0010930425,0.0031251393,0.00034933412,0.00017830536,0.0316684,0.0005640586,0.007183027,0.90219325,0.025194122,0.027671805],"study_design_scores_gemma":[0.00043381358,0.0007031749,0.00074069155,0.00004181486,0.000056902172,0.00002345592,0.89702505,0.0039055943,0.0004515896,0.021414526,0.074644476,0.00055890164],"about_ca_topic_score_codex":0.006658806,"about_ca_topic_score_gemma":0.000006662252,"teacher_disagreement_score":0.88077873,"about_ca_system_score_codex":0.000061270366,"about_ca_system_score_gemma":0.000036117828,"threshold_uncertainty_score":0.99995595},"labels":[],"label_agreement":null},{"id":"W2079986316","doi":"10.1016/j.scs.2014.10.001","title":"Effect of built-up ratio on the variation of air temperature in a heritage city","year":2014,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban heat island; Microclimate; Urbanization; Geography; Urban climate; Cultural heritage; Urban planning; Quarter (Canadian coin); Megacity; Air temperature; Physical geography; Environmental science; Meteorology; Archaeology; Civil engineering; Economy; Ecology; Engineering","score_opus":0.0030837772251091564,"score_gpt":0.1925416373372048,"score_spread":0.18945786011209564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079986316","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":[0.9972054,0.000020764757,0.000059138212,0.00026117664,0.00002251308,0.00025142028,0.0000028819572,0.000006066946,0.002170663],"genre_scores_gemma":[0.99733686,0.00001678903,0.000023584771,0.00012611503,0.000014915027,0.000018496024,0.0000029893183,0.0000040974005,0.0024561195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941504,0.000111198926,0.00011162288,0.00010427277,0.00012797308,0.00012991765],"domain_scores_gemma":[0.999589,0.00021367763,0.00004834875,0.00012006825,0.000013164238,0.00001569156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007416423,0.00006805873,0.00011324729,0.000007778031,0.00009546133,0.000010365812,0.000060599323,0.00006499481,0.0000658214],"category_scores_gemma":[0.00009626955,0.00004502646,0.000045940455,0.00012170742,0.00014330255,0.00010780771,0.00004641893,0.00008752561,5.7816857e-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":[0.00039181765,0.00024412214,0.57442033,0.0028123306,0.00009956949,0.0000033235979,0.1570252,0.0052639134,0.07517722,0.15050547,0.031125994,0.002930683],"study_design_scores_gemma":[0.0017984401,0.00134467,0.9076522,0.00008754849,0.000034968307,0.0000013788841,0.031498447,0.004967028,0.041642353,0.008745524,0.0019449904,0.00028247273],"about_ca_topic_score_codex":0.0008076601,"about_ca_topic_score_gemma":0.000030777977,"teacher_disagreement_score":0.3332318,"about_ca_system_score_codex":0.000079386315,"about_ca_system_score_gemma":0.000009603714,"threshold_uncertainty_score":0.18361257},"labels":[],"label_agreement":null},{"id":"W2308619310","doi":"10.1016/j.scs.2016.03.011","title":"Portfolio retrofit evaluation: A methodology for optimizing a large number of building retrofits to achieve triple-bottom-line objectives","year":2016,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Portfolio; Scale (ratio); Triple bottom line; Retrofitting; Environmental economics; Benchmarking; Investment (military); Net present value; Engineering; Transport engineering; Risk analysis (engineering); Sustainability; Business; Production (economics); Economics; Finance","score_opus":0.030723815587612557,"score_gpt":0.32766348982154586,"score_spread":0.2969396742339333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308619310","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":[0.37289393,0.0008964645,0.6228188,0.00043996007,0.00025906364,0.0012451771,0.000044909262,0.00017315548,0.0012284849],"genre_scores_gemma":[0.8747481,0.0002900282,0.11838608,0.00013027867,0.00020312249,0.0003708265,0.0000074597087,0.00006421859,0.005799848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99797475,0.00013125545,0.0004055528,0.0003623799,0.00028179833,0.0008442636],"domain_scores_gemma":[0.9982981,0.0005501662,0.000097147386,0.00024963883,0.0006703216,0.00013461866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002833271,0.00026521215,0.0005010154,0.0001048014,0.00025778773,0.000053145093,0.00015207252,0.00019053178,0.00010630113],"category_scores_gemma":[0.00046608225,0.00022034103,0.00022970345,0.0003701085,0.00008148764,0.00027432325,0.00012009717,0.00014264704,4.745656e-7],"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":[0.0012414791,0.00024379519,0.0071153627,0.008020559,0.0026272219,0.000050579034,0.044171352,0.0138941035,0.036625978,0.7782741,0.06040754,0.047327925],"study_design_scores_gemma":[0.017588243,0.0020140037,0.0033693258,0.0008711541,0.0009046012,0.00007908847,0.6168068,0.08594267,0.03853256,0.19484375,0.036145225,0.0029025925],"about_ca_topic_score_codex":0.00003616974,"about_ca_topic_score_gemma":8.7139887e-7,"teacher_disagreement_score":0.58343035,"about_ca_system_score_codex":0.00055200804,"about_ca_system_score_gemma":0.00022178888,"threshold_uncertainty_score":0.89852464},"labels":[],"label_agreement":null},{"id":"W2343132062","doi":"10.1016/j.scs.2016.04.013","title":"The effects of street tree planting on Urban Heat Island mitigation in Montreal","year":2016,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":270,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urban heat island; Environmental science; Evapotranspiration; Vegetation (pathology); Latent heat; Thermal comfort; Tree planting; Tree (set theory); Atmospheric sciences; Meteorology; Geography; Agroforestry; Ecology; Mathematics","score_opus":0.0020262014965936968,"score_gpt":0.17133969690631795,"score_spread":0.16931349540972426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343132062","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":[0.99440986,0.00012968671,0.000034668148,0.00023405002,0.00003198315,0.00020985544,0.0000047048184,0.000009348549,0.0049358383],"genre_scores_gemma":[0.9935125,0.00028235963,0.000015615311,0.000052018997,0.000028229862,0.00001876742,0.000002579802,0.0000056927443,0.0060822307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992895,0.000042046468,0.00012442142,0.000140711,0.00014063611,0.00026269624],"domain_scores_gemma":[0.99942,0.00040730208,0.000032111195,0.00010129427,0.000008786093,0.00003052656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019930773,0.00008153909,0.00009185588,0.000009693435,0.000194791,0.000020502737,0.000060867613,0.000052051328,0.000015602305],"category_scores_gemma":[0.000062102095,0.000046854897,0.00004133619,0.00007401789,0.00021110606,0.00013985585,0.0000523348,0.000050558196,0.0000016476579],"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":[0.000055205852,0.0000551685,0.908983,0.00027194663,0.000026526444,0.000012776446,0.017790351,0.000053281445,0.0037059449,0.0058420035,0.04591396,0.01728984],"study_design_scores_gemma":[0.0018281747,0.0003295581,0.9490979,0.0001707875,0.000015610518,0.0000013836078,0.030226534,0.00047432107,0.007109244,0.0076713837,0.0028671464,0.00020796216],"about_ca_topic_score_codex":0.0020507502,"about_ca_topic_score_gemma":0.0015203779,"teacher_disagreement_score":0.043046817,"about_ca_system_score_codex":0.0001323089,"about_ca_system_score_gemma":0.000009517791,"threshold_uncertainty_score":0.31001344},"labels":[],"label_agreement":null},{"id":"W2346874151","doi":"10.1016/j.scs.2016.04.015","title":"Analysis of urban heat island phenomenon and mitigation solutions evaluation for Montreal","year":2016,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urban heat island; Urban climate; Environmental science; Thermal comfort; Climate change; Urbanization; Greenhouse gas; Albedo (alchemy); Scale (ratio); Megacity; Urban planning; Environmental resource management; Climatology; Meteorology; Geography; Environmental planning; Civil engineering; Engineering; Economic growth; Cartography","score_opus":0.008718995247480384,"score_gpt":0.21835147901100965,"score_spread":0.20963248376352928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346874151","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":[0.98958796,0.0003333879,0.0073385895,0.00036154594,0.000016121103,0.00044109148,0.00007967215,0.000012265054,0.0018293639],"genre_scores_gemma":[0.99635,0.00017396877,0.00019761208,0.000039669056,0.000023372071,0.00007233741,0.00004149677,0.0000054672473,0.003096073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992565,0.000032861113,0.00014205994,0.00018748712,0.00015962361,0.00022150407],"domain_scores_gemma":[0.9996562,0.000101062215,0.000042753596,0.00009379578,0.000060412483,0.00004577911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046453133,0.00007668821,0.00013751321,0.000032587293,0.00026054552,0.000021482261,0.000030944295,0.00005458984,0.00015522892],"category_scores_gemma":[0.000035927103,0.00005799738,0.000078684265,0.00018901067,0.00022631048,0.00025411948,0.000046860954,0.000019511881,3.7385948e-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":[0.00013132006,0.00019363369,0.7710745,0.00049007044,0.0015538193,9.1063544e-7,0.08116045,0.0035911668,0.0129764415,0.023713646,0.06076556,0.044348538],"study_design_scores_gemma":[0.0028975576,0.00033034777,0.80338436,0.000030318026,0.0018253466,0.0000012508276,0.04798197,0.10569153,0.0005912887,0.03218806,0.004663859,0.00041412807],"about_ca_topic_score_codex":0.0009623048,"about_ca_topic_score_gemma":0.0003104729,"teacher_disagreement_score":0.10210036,"about_ca_system_score_codex":0.00020588834,"about_ca_system_score_gemma":0.000020446243,"threshold_uncertainty_score":0.23650645},"labels":[],"label_agreement":null},{"id":"W2368274511","doi":"10.1016/j.scs.2016.04.017","title":"Towards regenerative and positive impact architecture: A comparison of two net zero energy buildings","year":2016,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Natural Resources Canada; École Polytechnique Fédérale de Lausanne","keywords":"Architecture; Architectural engineering; Sustainable design; Regenerative medicine; Engineering; Computer science; Systems engineering; Sustainability","score_opus":0.004502261185844701,"score_gpt":0.22663142359955268,"score_spread":0.22212916241370798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368274511","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":[0.67317796,0.0023493858,0.3230098,0.00011851606,0.000045082536,0.00007099472,0.000027541895,0.000087634755,0.001113071],"genre_scores_gemma":[0.995958,0.00060961954,0.0025485589,0.000041851283,0.00004034511,0.00000944213,0.000009145156,0.000018459752,0.0007646311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938464,0.00001819879,0.00013442888,0.00013124554,0.00008213886,0.00024932812],"domain_scores_gemma":[0.99969256,0.000048220383,0.000037411457,0.00008266463,0.000080373306,0.000058764697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007780642,0.00014219242,0.00020861502,0.00003183355,0.00013036025,0.000034181223,0.000048722817,0.00007718948,0.000010493403],"category_scores_gemma":[0.00000748342,0.00010104916,0.00007107567,0.0001022001,0.00014682488,0.00013359191,0.000052489617,0.00006361045,1.6222536e-8],"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":[0.000077068944,0.00004557109,0.0020516792,0.00034162577,0.0006261828,0.0000060969573,0.024045276,0.42946994,0.005696954,0.4718068,0.010856258,0.054976564],"study_design_scores_gemma":[0.009224624,0.0020694174,0.0067186244,0.00079824514,0.00040115896,0.00009278456,0.056404687,0.431487,0.24629812,0.22375777,0.019398674,0.003348883],"about_ca_topic_score_codex":0.00045575458,"about_ca_topic_score_gemma":0.0000071366403,"teacher_disagreement_score":0.32277998,"about_ca_system_score_codex":0.000080668804,"about_ca_system_score_gemma":0.000031080446,"threshold_uncertainty_score":0.41206652},"labels":[],"label_agreement":null},{"id":"W2436678264","doi":"10.1016/j.scs.2016.06.013","title":"Assessment of building-integrated green technologies: A review and case study on applications of Multi-Criteria Decision Making (MCDM) method","year":2016,"lang":"en","type":"review","venue":"Sustainable Cities and Society","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":257,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Multiple-criteria decision analysis; Analytic hierarchy process; Retrofitting; Ranking (information retrieval); Computer science; Process (computing); Risk analysis (engineering); Selection (genetic algorithm); Sustainability; Management science; Engineering; Operations research; Construction engineering; Artificial intelligence; Business","score_opus":0.030518357338169322,"score_gpt":0.3938904203285809,"score_spread":0.3633720629904116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2436678264","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":[0.000072234725,0.8551702,0.14132188,0.000009423827,0.000029211331,0.0030743673,0.00007545223,0.00017879417,0.000068461566],"genre_scores_gemma":[0.0019628888,0.9645732,0.032053262,0.000012264075,0.000018027189,0.0010032187,0.0000068344025,0.00007527657,0.00029505367],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772274,0.00016556485,0.00091148907,0.0005061143,0.00023346777,0.00046061547],"domain_scores_gemma":[0.9979469,0.0007027373,0.00035627838,0.0005930918,0.0003437738,0.00005720124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012863586,0.00054407166,0.0020246573,0.00024720145,0.00017506277,0.0000611481,0.0002788974,0.00031688015,0.000013764968],"category_scores_gemma":[0.000076313285,0.00039642566,0.00034027576,0.000652449,0.0001595601,0.00010819628,0.00030303802,0.0004071692,1.140246e-7],"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":[0.0000012506362,0.00010689086,0.000008469659,0.14810982,0.00048770913,0.00011822504,0.0004283158,0.000009512933,0.0000014589272,0.0017655597,0.00037430346,0.84858847],"study_design_scores_gemma":[0.0010728266,0.00055083446,0.000008549372,0.06690058,0.0029077132,0.00041684633,0.21803005,0.002076073,0.000004739525,0.0016863139,0.7051436,0.001201907],"about_ca_topic_score_codex":0.00010294756,"about_ca_topic_score_gemma":0.0000013562494,"teacher_disagreement_score":0.8473866,"about_ca_system_score_codex":0.00047743993,"about_ca_system_score_gemma":0.00026841427,"threshold_uncertainty_score":0.9998488},"labels":[],"label_agreement":null},{"id":"W2443297727","doi":"10.1016/j.scs.2016.05.019","title":"Understanding stakeholders’ approaches to sustainability in building projects","year":2016,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"University of Cape Town; Université de Montréal; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Research Foundation","keywords":"Sustainability; Architectural engineering; Construction engineering; Business; Engineering; Environmental resource management; Process management; Environmental science; Ecology","score_opus":0.181428436680633,"score_gpt":0.25007518013948415,"score_spread":0.06864674345885116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2443297727","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":[0.73993635,0.00053749845,0.25002295,0.0027636862,0.00014428329,0.0016333901,0.0000075514477,0.00054101844,0.0044132764],"genre_scores_gemma":[0.9956566,0.00013548805,0.001395922,0.00008153204,0.00006152507,0.0001704337,0.0000011112331,0.000050172235,0.0024471895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99792653,0.000050835948,0.00027744228,0.00041066823,0.00021825069,0.0011162962],"domain_scores_gemma":[0.9992791,0.00018410508,0.000027265482,0.00025205783,0.00008078991,0.00017669438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008136757,0.00028465822,0.00030117572,0.00017116326,0.00025286118,0.00016964805,0.00015588217,0.00013759514,0.000015787611],"category_scores_gemma":[0.00010228371,0.0002313833,0.00009936866,0.0005318287,0.00014555045,0.00044068607,0.00014452662,0.00016984582,5.7108207e-7],"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":[0.000056507688,0.00009849088,0.010862181,0.0045971656,0.00016034377,0.00014733226,0.03541756,0.01202213,0.0007276726,0.9148952,0.0125608435,0.008454584],"study_design_scores_gemma":[0.0014121968,0.00013880357,0.002837132,0.000185552,0.000020774894,0.0000072842677,0.8563871,0.0055824476,0.0007427516,0.12223272,0.00959771,0.0008555723],"about_ca_topic_score_codex":0.00009375739,"about_ca_topic_score_gemma":0.000006639467,"teacher_disagreement_score":0.8209695,"about_ca_system_score_codex":0.0035149897,"about_ca_system_score_gemma":0.00022819414,"threshold_uncertainty_score":0.9435537},"labels":[],"label_agreement":null},{"id":"W2461300483","doi":"10.1016/j.scs.2016.06.012","title":"A micro-refinery to reduce associated natural gas flaring","year":2016,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gas to liquids; Natural gas; Greenhouse gas; Methane; Refinery; Syngas; Associated petroleum gas; Environmental science; Diesel fuel; Fugitive emissions; Carbon footprint; NOx; Waste management; Fischer–Tropsch process; Petroleum engineering; Environmental engineering; Engineering; Chemistry; Hydrogen","score_opus":0.00561347516143926,"score_gpt":0.2048637319599559,"score_spread":0.19925025679851666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461300483","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":[0.9894982,0.0009917407,0.0000117618665,0.0014386605,0.00014033874,0.000099841585,0.00000710485,0.0001002802,0.00771206],"genre_scores_gemma":[0.84050596,0.0005238422,0.00022590971,0.0006037032,0.00014508973,0.00001776619,0.00000875079,0.000026556449,0.1579424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876845,0.00003236505,0.00015623552,0.0002786152,0.00014796665,0.0006163959],"domain_scores_gemma":[0.9995707,0.000063463056,0.000042345364,0.00016232423,0.000045367116,0.00011575422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018246115,0.00017894393,0.00020812248,0.000024468332,0.00033478986,0.00008381979,0.000110646695,0.00011745576,0.00011703741],"category_scores_gemma":[0.00006492605,0.00013285612,0.00012996934,0.000106760446,0.00014690122,0.00022215486,0.00019818127,0.00010486006,0.000022293936],"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":[0.00040109325,0.0005044013,0.027384482,0.0012289609,0.0015684271,0.0002866249,0.1231197,0.0003304873,0.3104968,0.113578096,0.32294247,0.09815848],"study_design_scores_gemma":[0.0034209378,0.00033764125,0.04989995,0.0002867083,0.00011196853,0.000019436247,0.28599888,0.000096812575,0.038412765,0.015730508,0.60410094,0.0015834392],"about_ca_topic_score_codex":0.002086411,"about_ca_topic_score_gemma":0.00006067148,"teacher_disagreement_score":0.28115848,"about_ca_system_score_codex":0.0003350644,"about_ca_system_score_gemma":0.000022111068,"threshold_uncertainty_score":0.54177153},"labels":[],"label_agreement":null},{"id":"W2498936774","doi":"10.1016/j.scs.2016.08.004","title":"Removal of pharmaceuticals and endocrine disrupting compounds from water by zinc oxide-based photocatalytic degradation: A review","year":2016,"lang":"en","type":"review","venue":"Sustainable Cities and Society","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":239,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Photocatalysis; Zinc; Contamination; Environmental chemistry; Degradation (telecommunications); Catalysis; Chemistry; Environmental science; Materials science; Waste management; Nanotechnology; Organic chemistry; Computer science; Engineering","score_opus":0.02376855714248671,"score_gpt":0.331429787031928,"score_spread":0.3076612298894413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498936774","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":[0.000096428186,0.99627125,0.0006132556,0.00008830477,0.000020331181,0.0014457643,0.00021435016,0.00012400172,0.0011262938],"genre_scores_gemma":[0.00010647384,0.99041414,0.0018341179,0.00032398512,0.000060335617,0.00045398885,0.0012264645,0.00009476661,0.0054857074],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997178,0.0001860888,0.0010014041,0.0006598904,0.00030328654,0.000671333],"domain_scores_gemma":[0.99808645,0.0005445624,0.0004318794,0.0005646718,0.00021851866,0.00015393874],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052829826,0.0006145677,0.0022168972,0.000057778456,0.0002495657,0.00007195848,0.00028444792,0.00023014467,0.00016758419],"category_scores_gemma":[0.0000807846,0.00040425945,0.00061930204,0.00020736127,0.0005350615,0.0002407539,0.0003501386,0.0003351751,0.0000029933065],"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":[0.00003145885,0.00012041398,0.0000032232547,0.3594974,0.0012461381,0.0001933357,0.00047252685,8.4714947e-7,0.0003710848,0.005690383,0.013096158,0.61927706],"study_design_scores_gemma":[0.0003735336,0.000028268469,5.6082488e-8,0.016722463,0.0010009519,0.00005138085,0.0005749989,0.000022658944,0.0017451904,0.0015351411,0.97744304,0.00050231174],"about_ca_topic_score_codex":0.00072617235,"about_ca_topic_score_gemma":0.0000029544158,"teacher_disagreement_score":0.9643469,"about_ca_system_score_codex":0.00031505726,"about_ca_system_score_gemma":0.00016038581,"threshold_uncertainty_score":0.9998409},"labels":[],"label_agreement":null},{"id":"W2586181267","doi":"10.1016/j.scs.2017.01.019","title":"Quantitative analysis of the impact of maintenance management on the energy consumption of a hospital in Extremadura (Spain)","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Wildlife Health Cooperative; Universitat de Barcelona","keywords":"Consumption (sociology); Energy consumption; Environmental science; Preventive maintenance; Air conditioning; Greenhouse gas; Greenhouse; Total energy; Operations management; Engineering; Reliability engineering","score_opus":0.01625214998192968,"score_gpt":0.2952951113961874,"score_spread":0.2790429614142577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586181267","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":[0.98627776,0.00022180424,0.0001566019,0.0006019082,0.00005796331,0.00025398642,0.000040886178,0.0000030016183,0.012386095],"genre_scores_gemma":[0.9843327,0.0003794445,0.000021024745,0.00004532003,0.000003971425,0.000032191085,0.0000024817382,0.000004841334,0.015178065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99912816,0.00009222007,0.00023692675,0.00016014128,0.0001387138,0.00024383925],"domain_scores_gemma":[0.99886805,0.00014834509,0.00032234073,0.0005427492,0.00010371857,0.000014805584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004998862,0.000108347034,0.0002767162,0.00005940372,0.00019553809,0.000025501078,0.000260902,0.00004575927,0.00016570494],"category_scores_gemma":[0.000035129422,0.000061810875,0.00037343465,0.00019127977,0.00064665795,0.000051789153,0.00018965635,0.00007020067,1.9664809e-7],"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":[0.00013445989,0.00014921158,0.058918007,0.00023691622,0.002322285,0.000004437141,0.02293863,0.000881987,0.0000029237083,0.9070845,0.0067179883,0.0006086448],"study_design_scores_gemma":[0.00046317818,0.00026099925,0.61414057,0.00006197392,0.00016213236,6.665767e-8,0.38071686,0.0014410145,0.000006511663,0.0023800822,0.00028750795,0.0000791072],"about_ca_topic_score_codex":0.0062354333,"about_ca_topic_score_gemma":0.00006597972,"teacher_disagreement_score":0.90470445,"about_ca_system_score_codex":0.00008678116,"about_ca_system_score_gemma":0.000015674725,"threshold_uncertainty_score":0.9426151},"labels":[],"label_agreement":null},{"id":"W2603703115","doi":"10.1016/j.scs.2017.03.012","title":"A GIS based spatial decision support system for analysing residential water demand: A case study in Australia","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water resources management and optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Australian Research Council; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Flexibility (engineering); Spatial decision support system; Geographic information system; Government (linguistics); Environmental economics; Decision support system; Water supply; Demand management; Order (exchange); Business; Supply and demand; Household income; Environmental resource management; Environmental planning; Environmental science; Geography; Computer science; Environmental engineering; Civil engineering; Engineering; Economics; Remote sensing","score_opus":0.013864285913243565,"score_gpt":0.2521267755556449,"score_spread":0.23826248964240132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603703115","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":[0.94993234,0.000011178295,0.049192566,0.00001394215,0.00008879977,0.000582967,0.0000035213172,0.000055569522,0.00011914615],"genre_scores_gemma":[0.9977437,0.0000029728276,0.0006566831,0.0000061926257,0.00007664338,0.000057769223,0.000014479206,0.000019312563,0.0014222014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991339,0.000017760569,0.00021135263,0.00017636617,0.00011387112,0.00034678672],"domain_scores_gemma":[0.9996333,0.000018035467,0.000035543577,0.00021492218,0.000057403126,0.000040796505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046495203,0.00012892703,0.00018996904,0.00007035881,0.00057374797,0.00054027454,0.000099357756,0.000063929096,0.000017874518],"category_scores_gemma":[0.000009388203,0.000107796775,0.00008969289,0.000035301153,0.000034530156,0.00027585737,0.000083564606,0.00006207962,5.38113e-7],"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":[0.0003638206,0.00020228773,0.10136692,0.009079289,0.0007268845,0.0075043696,0.11727158,0.7534109,0.00008113927,0.00032304955,0.0068543395,0.002815428],"study_design_scores_gemma":[0.0037996587,0.00017002058,0.0044188844,0.0000674912,0.00021152225,0.00002119896,0.23072235,0.758679,0.00031732104,0.00016554547,0.0010460512,0.00038098753],"about_ca_topic_score_codex":0.0045669205,"about_ca_topic_score_gemma":0.0006811017,"teacher_disagreement_score":0.11345077,"about_ca_system_score_codex":0.00012640371,"about_ca_system_score_gemma":0.000008019727,"threshold_uncertainty_score":0.6903848},"labels":[],"label_agreement":null},{"id":"W2617952265","doi":"10.1016/j.scs.2017.05.010","title":"Risk analysis and self-healing approach for resilient interconnect micro energy grids","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Interconnection; Self-healing; Energy (signal processing); Computer science; Engineering; Medicine; Physics; Telecommunications","score_opus":0.003101906890422659,"score_gpt":0.1869909681064937,"score_spread":0.18388906121607104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617952265","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":[0.30441275,0.013641436,0.6793106,0.000100191006,0.00011267014,0.0003822266,0.000067538094,0.00024950792,0.001723038],"genre_scores_gemma":[0.97244865,0.012705927,0.013542909,0.000049383198,0.00012837257,0.00005731079,0.00003957319,0.000022086613,0.0010057811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933326,0.000013957866,0.00012937842,0.0001845983,0.00004589578,0.0002929084],"domain_scores_gemma":[0.9995733,0.00004045417,0.000052081363,0.00019165232,0.000086971224,0.000055557717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024585848,0.00012521441,0.00021339867,0.00004117951,0.0007656587,0.0002967037,0.00008601616,0.00009723574,0.0000031376633],"category_scores_gemma":[0.000022571157,0.00011876704,0.00014878769,0.00006126264,0.000062314735,0.00016489331,0.00006373462,0.000075913376,2.8102752e-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":[0.00020256235,0.0002581954,0.036035627,0.0090138875,0.01562659,0.000014617032,0.07636691,0.72335976,0.0008087516,0.037731726,0.02348777,0.07709357],"study_design_scores_gemma":[0.00070002454,0.000035948717,0.0019157054,0.0000058863234,0.00050466036,0.0000012430302,0.023378095,0.9609948,0.00028155796,0.0007057923,0.011236106,0.00024020496],"about_ca_topic_score_codex":0.0004958193,"about_ca_topic_score_gemma":0.000017491902,"teacher_disagreement_score":0.66803586,"about_ca_system_score_codex":0.00005921907,"about_ca_system_score_gemma":0.000012940444,"threshold_uncertainty_score":0.5888905},"labels":[],"label_agreement":null},{"id":"W2728143603","doi":"10.1016/j.scs.2017.06.020","title":"Mismatches in stakeholder communication: The case of the Leslie and Ferrand transit stations, Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; University of Toronto","funders":"","keywords":"Stakeholder; Context (archaeology); Constructive; Content analysis; Public participation; Public relations; Computer science; Process (computing); Public interest; Public consultation; Sociology; Political science; Law; Geography; Social science","score_opus":0.015960352340042405,"score_gpt":0.24170614826356812,"score_spread":0.22574579592352573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728143603","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":[0.9910789,0.0006050517,0.0000050023427,0.0020487355,0.000020743686,0.00018521445,0.000015961408,0.0000016853446,0.006038664],"genre_scores_gemma":[0.99570787,0.0007166502,0.000039314895,0.00029615554,0.000006536117,0.000010495424,0.0000012285553,0.000004165539,0.0032175921],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99950314,0.00004882436,0.000102182035,0.000084313164,0.000101245554,0.00016027442],"domain_scores_gemma":[0.9995839,0.00004754101,0.00006902893,0.00026147158,0.000005098428,0.00003294421],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00020878256,0.00006960097,0.00008631254,0.0000010440048,0.0013874001,0.00007456606,0.00017095689,0.000031555464,0.00011394028],"category_scores_gemma":[0.000010122684,0.000044374505,0.000026308642,0.000018362462,0.0007042066,0.00026698815,0.00020267173,0.000080072496,5.1752725e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003555025,0.00020636391,0.6162963,0.00044710928,0.00016927946,0.00012519537,0.30726722,0.00051057467,0.00023788042,0.017509468,0.038545214,0.018649869],"study_design_scores_gemma":[0.00033187683,0.0000119864735,0.48550427,0.000008855688,0.000013217845,0.000010288524,0.5084971,0.00010267008,0.0000371412,0.0015359543,0.0038684492,0.0000781532],"about_ca_topic_score_codex":0.811968,"about_ca_topic_score_gemma":0.764678,"teacher_disagreement_score":0.20122992,"about_ca_system_score_codex":0.00029587865,"about_ca_system_score_gemma":0.000050434814,"threshold_uncertainty_score":0.9999127},"labels":[],"label_agreement":null},{"id":"W2734024546","doi":"10.1016/j.scs.2017.06.023","title":"Two heuristic approaches for the optimization of grid-connected hybrid solar–hydrogen systems to supply residential thermal and electrical loads","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Particle swarm optimization; Mathematical optimization; Photovoltaic system; Computer science; Grid; Heuristic; Optimization problem; Engineering; Algorithm; Mathematics; Electrical engineering","score_opus":0.013837346662096428,"score_gpt":0.2261680472926312,"score_spread":0.21233070063053477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734024546","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":[0.9587198,0.0038510654,0.03231196,0.00056888396,0.00049516,0.0016338677,0.00007979784,0.000101506164,0.0022379872],"genre_scores_gemma":[0.99308157,0.00019133899,0.00036898433,0.000046096244,0.0005972097,0.00022503835,0.000036845267,0.000045761757,0.005407171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837863,0.000113090005,0.00035062994,0.00035462822,0.00023345843,0.0005695407],"domain_scores_gemma":[0.998627,0.0002830959,0.00022885604,0.00048129028,0.00026264845,0.0001171025],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00068480306,0.0002236914,0.00039167746,0.000041931995,0.0014021466,0.0004456222,0.00031958122,0.000095867246,0.000008748186],"category_scores_gemma":[0.00027772642,0.00017151117,0.00014478446,0.00008531882,0.00027030145,0.00022970374,0.00020730193,0.00010862755,2.6882597e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014636108,0.000035181274,0.0012148247,0.0008048356,0.00042545304,0.000013299294,0.0027956683,0.9267365,0.00027315717,0.06311244,0.0036961937,0.00074612524],"study_design_scores_gemma":[0.0025887752,0.00029716254,0.0018454918,0.000084446045,0.00027201435,0.00005796318,0.03984196,0.939685,0.003315109,0.0009984095,0.010407915,0.0006057678],"about_ca_topic_score_codex":0.018863345,"about_ca_topic_score_gemma":0.00011408667,"teacher_disagreement_score":0.06211403,"about_ca_system_score_codex":0.00011560531,"about_ca_system_score_gemma":0.00016188681,"threshold_uncertainty_score":0.9998979},"labels":[],"label_agreement":null},{"id":"W2752712206","doi":"10.1016/j.scs.2017.09.011","title":"Urban water security: Emerging discussion and remaining challenges","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water resources management and optimization","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Water security; Livelihood; Vulnerability (computing); Environmental planning; Context (archaeology); Water supply; Environmental resource management; Population; Water quality; Population growth; Business; Environmental science; Water resources; Geography; Environmental engineering; Computer security; Agriculture; Ecology; Computer science; Environmental health","score_opus":0.006966892710058711,"score_gpt":0.19262908724798136,"score_spread":0.18566219453792265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752712206","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":[0.9369058,0.0050995187,0.0009029337,0.0036495698,0.00019811023,0.00033190314,0.0000020970253,0.00036010903,0.052549973],"genre_scores_gemma":[0.98856956,0.0042979997,0.000108429966,0.000022142403,0.00010677742,0.000008372978,0.0000060367793,0.000019220544,0.0068614627],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9994336,0.000007228987,0.000076408076,0.00012680163,0.000067791334,0.00028818485],"domain_scores_gemma":[0.9997687,0.0000043941886,0.000016865184,0.00014882252,0.000020229667,0.00004103109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016407418,0.00010416831,0.00010451574,0.000019506504,0.000747126,0.00031313396,0.000070726164,0.000051925806,0.000009828323],"category_scores_gemma":[0.000004990892,0.00006676357,0.000032911405,0.000010034122,0.00007375815,0.00037284684,0.00019109725,0.00007488576,4.2314787e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027651622,0.000030752475,0.008559755,0.01029315,0.0004595816,0.000078511446,0.85141444,0.0058111656,0.00016726932,0.057187192,0.030508775,0.035461742],"study_design_scores_gemma":[0.0010069604,0.000056413686,0.0035931126,0.0001403209,0.00006607807,0.0000032199464,0.46988547,0.14931874,0.00043666753,0.011684072,0.3631392,0.0006697216],"about_ca_topic_score_codex":0.000018116212,"about_ca_topic_score_gemma":0.000002284487,"teacher_disagreement_score":0.38152897,"about_ca_system_score_codex":0.000022142987,"about_ca_system_score_gemma":0.0000014855715,"threshold_uncertainty_score":0.57463646},"labels":[],"label_agreement":null},{"id":"W2766557695","doi":"10.1016/j.scs.2017.10.033","title":"Evaluation of an optoelectronic mould sensor for use in building health monitoring and in post-remediation performance assessment","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust; Alfred P. Sloan Foundation","keywords":"Relative humidity; Humidity; Moisture; Environmental science; Water content; Gypsum; Materials science; Composite material; Engineering; Geotechnical engineering; Meteorology","score_opus":0.06834174064405298,"score_gpt":0.3537277023258273,"score_spread":0.2853859616817743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766557695","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":[0.9984173,0.00043063718,0.00003679219,0.0004277447,0.000038801558,0.00049188867,0.0000074250015,0.000010903442,0.0001384633],"genre_scores_gemma":[0.99741226,0.0010691944,0.00093405996,0.000034382636,0.00006404591,0.000100636,0.0000058385494,0.0000063020216,0.0003732867],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9992985,0.000037435522,0.00018085299,0.00012468711,0.00015118597,0.00020731638],"domain_scores_gemma":[0.99924684,0.000047735542,0.0001351115,0.00009774414,0.0004543113,0.000018241668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015384704,0.00007249239,0.00014710426,0.000044399552,0.00069617707,0.00019568944,0.00004132492,0.000029731114,0.0000036042788],"category_scores_gemma":[0.00006591788,0.00007059464,0.000024489711,0.000013507741,0.000099686345,0.00068284234,0.000040246177,0.00007506001,5.030085e-9],"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":[0.0001467535,0.00023008735,0.30579454,0.0036016454,0.00015127637,0.0000012458587,0.3083015,0.00045864758,0.00036856066,0.24045204,0.00030179278,0.14019193],"study_design_scores_gemma":[0.0015229536,0.00048121705,0.58501315,0.00013510823,0.000031890428,3.923819e-7,0.33531335,0.07053908,0.00023629976,0.0048016766,0.0017148923,0.00020998571],"about_ca_topic_score_codex":0.0034745291,"about_ca_topic_score_gemma":0.0010118723,"teacher_disagreement_score":0.2792186,"about_ca_system_score_codex":0.00025423762,"about_ca_system_score_gemma":0.00017880442,"threshold_uncertainty_score":0.53545016},"labels":[],"label_agreement":null},{"id":"W2769414544","doi":"10.1016/j.scs.2017.11.037","title":"An analysis of influencing factors on municipal solid waste source-separated collection behavior in Guilin, China by Using the Theory of Planned Behavior","year":2017,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":192,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo; Centre for International Governance Innovation; University of Manitoba","funders":"","keywords":"Theory of planned behavior; Situational ethics; China; Municipal solid waste; Data collection; Situation analysis; Control (management); Path analysis (statistics); Business; Psychology; Engineering; Marketing; Geography; Waste management; Social psychology; Computer science; Sociology; Economics; Management","score_opus":0.012355351383893445,"score_gpt":0.28676770267645924,"score_spread":0.2744123512925658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769414544","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":[0.9993346,0.00002554556,0.000020723792,0.000018806513,0.000022224842,0.00035935006,0.000020745694,0.00000688314,0.00019112449],"genre_scores_gemma":[0.9986903,0.00002189612,0.000020990125,0.000032113974,0.0000047428944,0.000028250048,0.000018848934,0.000009730143,0.0011731004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998831,0.0001434884,0.0002852503,0.00024343096,0.00021288524,0.00028397655],"domain_scores_gemma":[0.9991274,0.00005513762,0.00024689772,0.00048754655,0.00001932064,0.00006370695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063167413,0.00014301577,0.00026328707,0.00004757447,0.0008129699,0.000055790653,0.00026224452,0.00009998555,0.00021152526],"category_scores_gemma":[0.00006445379,0.000112404996,0.00013922248,0.00024039169,0.0008753055,0.00027238484,0.00015874427,0.0001460624,1.1347857e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051733434,0.00028404203,0.93659073,0.000024547246,0.000046670022,8.542203e-7,0.04384049,0.017282778,0.0016074409,0.00006383123,0.000033558274,0.00017330347],"study_design_scores_gemma":[0.00016240751,0.00012537377,0.6406145,0.0000031155014,0.0001625177,1.9799222e-7,0.34894213,0.0085604,0.0012602295,0.00006239718,0.00001956768,0.00008717971],"about_ca_topic_score_codex":0.014708911,"about_ca_topic_score_gemma":0.00022346471,"teacher_disagreement_score":0.30510163,"about_ca_system_score_codex":0.0005036467,"about_ca_system_score_gemma":0.000032250686,"threshold_uncertainty_score":0.9918522},"labels":[],"label_agreement":null},{"id":"W2791792698","doi":"10.1016/j.scs.2018.01.021","title":"Risk-based pipeline re-assessment optimization considering corrosion defects","year":2018,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline transport; Reliability (semiconductor); Pipeline (software); Interval (graph theory); Reliability engineering; Corrosion; Variable (mathematics); Computer science; Engineering; Mathematics; Materials science","score_opus":0.0064023113413328,"score_gpt":0.22568533505473704,"score_spread":0.21928302371340425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791792698","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":[0.6303981,0.00058871316,0.36399257,0.00021613722,0.000276312,0.00025193533,0.000014934517,0.00036332148,0.0038979913],"genre_scores_gemma":[0.98843396,0.0005444854,0.010113752,0.0001474576,0.00011126132,0.000009868909,0.000019481055,0.000015969596,0.00060378114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992312,0.000031474323,0.00016922534,0.0001661826,0.00011774672,0.00028413566],"domain_scores_gemma":[0.9994319,0.00009294533,0.000036557773,0.00014666103,0.00022904977,0.00006289153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023931543,0.00013745944,0.00017361534,0.00003203376,0.0004869344,0.00010113911,0.00005357014,0.00013218215,0.00017769799],"category_scores_gemma":[0.000056617424,0.00012162141,0.00012444134,0.00018534092,0.00022593899,0.0001378964,0.00003724224,0.00021055849,9.65727e-7],"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":[0.000011099883,0.000014311929,0.0032219284,0.00071658567,0.000055644647,0.0000043267264,0.0028970896,0.98224694,0.00019940721,0.0017461542,0.008260257,0.0006262707],"study_design_scores_gemma":[0.0002850319,0.000050588467,0.0005977917,0.000025501198,0.00006578017,0.0000010292256,0.026446443,0.96780753,0.0012618515,0.0012764917,0.002002057,0.00017990077],"about_ca_topic_score_codex":0.0002810409,"about_ca_topic_score_gemma":0.00002598242,"teacher_disagreement_score":0.35803586,"about_ca_system_score_codex":0.0001719892,"about_ca_system_score_gemma":0.000042437583,"threshold_uncertainty_score":0.4959577},"labels":[],"label_agreement":null},{"id":"W2794258165","doi":"10.1016/j.scs.2018.02.039","title":"Security and privacy challenges in smart cities","year":2018,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":345,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Zayed University","keywords":"Interconnectivity; Smart city; Computer security; Trustworthiness; Order (exchange); Computer science; Internet privacy; Business; Internet of Things","score_opus":0.025781827159752812,"score_gpt":0.2557179944040725,"score_spread":0.2299361672443197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794258165","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":[0.91725504,0.013949176,0.004035063,0.049577657,0.00021985262,0.0004086748,0.000011431889,0.00070039195,0.013842691],"genre_scores_gemma":[0.9703634,0.011601191,0.016952682,0.0003106912,0.00007158802,0.000029493827,0.0000019935205,0.000011018804,0.0006579657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985453,0.000047766214,0.00016892495,0.00048710778,0.00016890629,0.00058198144],"domain_scores_gemma":[0.9975623,0.0001281029,0.000052186886,0.0020729268,0.00012541495,0.000059103048],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0006320827,0.00016667448,0.00020620924,0.00006817406,0.00034140298,0.0002595225,0.0038216691,0.00016230004,0.000010515198],"category_scores_gemma":[0.0016010051,0.00016157464,0.00003977044,0.0002393821,0.00075759896,0.00092174223,0.037175756,0.00023372292,0.0000012801249],"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":[0.00001291138,0.000078120676,0.01515449,0.0014565112,0.000072543466,0.0000856303,0.07648234,3.6803448e-7,0.000014901689,0.6861474,0.20020849,0.020286286],"study_design_scores_gemma":[0.0003621217,0.00012773513,0.0071296953,0.000043577355,0.000003367324,0.000025253796,0.09282338,0.008853211,0.00013527629,0.85619557,0.03402179,0.00027904796],"about_ca_topic_score_codex":0.00024742042,"about_ca_topic_score_gemma":0.000027368531,"teacher_disagreement_score":0.17004815,"about_ca_system_score_codex":0.00009581018,"about_ca_system_score_gemma":0.00007780478,"threshold_uncertainty_score":0.9706114},"labels":[],"label_agreement":null},{"id":"W2799820718","doi":"10.1016/j.scs.2018.04.028","title":"Spatio-temporal promenades as representations of urban atmospheres","year":2018,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Microclimate; Atmosphere (unit); Pedestrian; Urban environment; Perception; Temporality; Architectural engineering; Representation (politics); Space (punctuation); Built environment; Urban design; Urban planning; Field (mathematics); Environmental psychology; Geography; Computer science; Civil engineering; Meteorology; Engineering; Environmental planning; Psychology; Mathematics; Social psychology; Political science","score_opus":0.006108457759364491,"score_gpt":0.22563035960013794,"score_spread":0.21952190184077344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799820718","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":[0.96656835,0.000069602764,0.00012031,0.00019884492,0.000030328098,0.00021737785,0.0000042916945,0.00002507973,0.03276583],"genre_scores_gemma":[0.955648,0.00002777974,0.0013988891,0.000103296676,0.00007125994,0.000020986048,0.000012494447,0.000007634102,0.04270967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930483,0.000022564464,0.00013351714,0.00016716943,0.00015516607,0.0002167664],"domain_scores_gemma":[0.9996918,0.000028156524,0.000054603686,0.00013193823,0.00004205129,0.00005146115],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001336518,0.000074958894,0.00009125918,0.00000419325,0.00027723153,0.000032145566,0.00006564581,0.0000487609,0.0016292033],"category_scores_gemma":[0.000031799562,0.000068165835,0.00004761177,0.00014429884,0.00062225875,0.00025889976,0.00010521195,0.000045056484,0.000013920754],"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":[0.000020014088,0.000048456433,0.72943115,0.00012899078,0.000034135654,0.0000035090738,0.045079898,0.00002821785,0.00028187846,0.01686905,0.20743886,0.00063582964],"study_design_scores_gemma":[0.0010909061,0.00076624396,0.41222534,0.000037043206,0.000058569156,0.000011966752,0.34303835,0.0017563711,0.0071370765,0.06082074,0.17254779,0.00050959695],"about_ca_topic_score_codex":0.0040865666,"about_ca_topic_score_gemma":0.00009334096,"teacher_disagreement_score":0.31720582,"about_ca_system_score_codex":0.000088829955,"about_ca_system_score_gemma":0.000031954492,"threshold_uncertainty_score":0.99928343},"labels":[],"label_agreement":null},{"id":"W2802682296","doi":"10.1016/j.scs.2018.04.033","title":"Urban heat island in current and future climates for the island of Montreal","year":2018,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Urban heat island; Environmental science; Sensible heat; Climatology; Latent heat; Current (fluid); Intensity (physics); Urban climate; Urban area; Atmospheric sciences; Meteorology; Urban planning; Physical geography; Geography; Geology","score_opus":0.004701399794684318,"score_gpt":0.21273534382795153,"score_spread":0.20803394403326722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802682296","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":[0.99256766,0.0040986235,0.00018346983,0.0005938148,0.0000876205,0.00047008222,0.000040521823,0.000008811405,0.0019493949],"genre_scores_gemma":[0.99581903,0.0021317708,0.00006443,0.00008937404,0.00022925128,0.00003452488,0.000007734761,0.000007017197,0.0016168416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994066,0.000014678382,0.00011257845,0.0001443966,0.000081782346,0.00024001402],"domain_scores_gemma":[0.9997578,0.00008278648,0.000023649278,0.0000868496,0.000020138248,0.000028735863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000201773,0.0000824417,0.00010667667,0.000008127275,0.00023495927,0.000031075917,0.00005258121,0.000048300124,0.0000669743],"category_scores_gemma":[0.000008453642,0.000054930348,0.00003759238,0.0000740157,0.00039907824,0.00012222529,0.00007918745,0.000058027505,4.0909683e-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":[0.000098782744,0.00007119184,0.53009367,0.00060318183,0.00003674919,0.0000012667809,0.098790966,0.000026076892,0.00014228401,0.004776965,0.3552614,0.010097461],"study_design_scores_gemma":[0.0021698081,0.0004360773,0.5030871,0.000039598224,0.00006058638,0.0000054245334,0.17104225,0.009699203,0.00033630288,0.0098249735,0.30297217,0.00032652053],"about_ca_topic_score_codex":0.0013337178,"about_ca_topic_score_gemma":0.0010562422,"teacher_disagreement_score":0.07225128,"about_ca_system_score_codex":0.000052164196,"about_ca_system_score_gemma":0.000011156298,"threshold_uncertainty_score":0.22399946},"labels":[],"label_agreement":null},{"id":"W2805002324","doi":"10.1016/j.scs.2018.05.032","title":"An integrated assessment approach to prevent risk of sewer exfiltration","year":2018,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sanitary sewer; Pipeline transport; Quality function deployment; Combined sewer; Scale (ratio); Rehabilitation; Engineering; Risk analysis (engineering); Civil engineering; Forensic engineering; Computer science; Operations management; Environmental engineering; Stormwater; Business; Psychology","score_opus":0.01494134438061235,"score_gpt":0.25370259188232025,"score_spread":0.2387612475017079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805002324","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":[0.8767918,0.00006808437,0.09195902,0.0005598537,0.0003494779,0.0011422326,0.0000088366205,0.00022435264,0.028896367],"genre_scores_gemma":[0.98805255,0.000029063374,0.0046065957,0.0011667684,0.0007539649,0.00005936967,0.0000502873,0.000022224584,0.00525915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9988794,0.0000448245,0.0002521965,0.0003029853,0.00024400548,0.000276595],"domain_scores_gemma":[0.99880064,0.000021515201,0.00016910925,0.00026626285,0.0007219631,0.000020530739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334692,0.00014335921,0.00017396742,0.00007206967,0.00037757808,0.0002691892,0.00012557476,0.00006743274,0.0001177183],"category_scores_gemma":[0.00007652612,0.00012683727,0.00007099916,0.00041271077,0.00014583077,0.000976079,0.000084226864,0.000108818385,0.000005004899],"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":[0.00018353233,0.001942799,0.030305935,0.0032358777,0.0005174014,0.000002027451,0.016725447,0.0012626845,0.0010410376,0.7105251,0.22341298,0.010845203],"study_design_scores_gemma":[0.0011322853,0.0004909484,0.03382516,0.00006313632,0.00032978406,0.0000018189787,0.53525096,0.04045416,0.00107156,0.037138168,0.34930286,0.00093912554],"about_ca_topic_score_codex":0.0010223265,"about_ca_topic_score_gemma":0.0000050819594,"teacher_disagreement_score":0.67338693,"about_ca_system_score_codex":0.00008140672,"about_ca_system_score_gemma":0.00006296919,"threshold_uncertainty_score":0.51722735},"labels":[],"label_agreement":null},{"id":"W2889019546","doi":"10.1016/j.scs.2018.08.029","title":"Optimisation of community shared solar application in energy efficient communities","year":2018,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Environmental economics; Renewable energy; Greenhouse gas; Environmental science; Grid; Leverage (statistics); Electricity; Unit (ring theory); Solar energy; Business; Computer science; Engineering; Economics; Geography; Electrical engineering","score_opus":0.0077605173410072335,"score_gpt":0.19817215877528943,"score_spread":0.1904116414342822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889019546","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":[0.9752593,0.00023649895,0.018276803,0.00003824232,0.000051376457,0.000103573046,0.000004553858,0.000091204405,0.005938443],"genre_scores_gemma":[0.99894,0.0002547309,0.00033870325,0.00006798262,0.000037271453,0.000048475285,0.00003758988,0.000014543278,0.0002606897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945265,0.00005222108,0.00015786952,0.000045134853,0.00008674409,0.00020535695],"domain_scores_gemma":[0.99955934,0.00005245708,0.00002719963,0.00023890453,0.00009965217,0.000022433365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031723847,0.00009217363,0.00012389915,0.000048589704,0.00022342782,0.000028616561,0.00012212413,0.00005841373,0.000013183825],"category_scores_gemma":[0.000005273227,0.00010302563,0.000036091526,0.00016268996,0.00018816911,0.0000858266,0.00012833883,0.00011292915,3.1512798e-7],"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":[0.000012450648,0.00008656102,0.0012112262,0.0010877707,0.00008873242,5.540724e-7,0.095191516,0.827872,0.00021834174,0.06581647,0.00519522,0.0032191887],"study_design_scores_gemma":[0.0003996242,0.00005898342,0.007813125,0.000026734377,0.000011661667,4.91213e-7,0.4206017,0.5513518,0.0012367837,0.0016560946,0.016662326,0.00018072655],"about_ca_topic_score_codex":0.004106601,"about_ca_topic_score_gemma":0.0001867323,"teacher_disagreement_score":0.32541016,"about_ca_system_score_codex":0.0001444297,"about_ca_system_score_gemma":0.000011613092,"threshold_uncertainty_score":0.62079793},"labels":[],"label_agreement":null},{"id":"W2904240161","doi":"10.1016/j.scs.2018.12.014","title":"Performance analysis of a proposed geothermal pile system for heating and cooling energy demand for a building in cold regions","year":2018,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Pile; Geothermal gradient; Geothermal energy; Geothermal heating; Environmental science; Attic; Thermal energy storage; HVAC; Energy balance; Civil engineering; Enclosure; Geotechnical engineering; Engineering; Geology; Air conditioning; Mechanical engineering; Roof; Ecology","score_opus":0.008456532659678703,"score_gpt":0.2253300003573215,"score_spread":0.21687346769764282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904240161","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":[0.9865726,0.00028588265,0.012101391,0.000037707716,0.000017870434,0.0003429483,0.000019455689,0.000030690215,0.00059143134],"genre_scores_gemma":[0.9960891,0.00004770515,0.0014170861,0.00004497399,0.00010089453,0.0003499303,0.000011011888,0.000020487023,0.0019188185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990321,0.000021341304,0.00029538266,0.00022935397,0.000069421134,0.00035240338],"domain_scores_gemma":[0.99930876,0.00012727673,0.000135778,0.00013495177,0.0002461399,0.000047098114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036434317,0.000121585676,0.000337569,0.000087585664,0.00049286993,0.000043684562,0.00006463719,0.00009145808,0.0000025044278],"category_scores_gemma":[0.00001526153,0.00011349625,0.00012648114,0.00036890802,0.0001515018,0.000100800054,0.00003872828,0.000033616758,1.9098305e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008062422,0.00003543099,0.0027875877,0.002188929,0.0004890638,4.6996294e-7,0.007119251,0.031427287,0.0018827918,0.9532454,0.00008219609,0.0006609962],"study_design_scores_gemma":[0.0012696662,0.00019839885,0.0024525146,0.00016461004,0.00030497048,0.0000025557122,0.08715489,0.89256966,0.0020902618,0.00047236655,0.013059258,0.0002608691],"about_ca_topic_score_codex":0.009563387,"about_ca_topic_score_gemma":0.00037529177,"teacher_disagreement_score":0.95277303,"about_ca_system_score_codex":0.00007844371,"about_ca_system_score_gemma":0.000053609223,"threshold_uncertainty_score":0.997032},"labels":[],"label_agreement":null},{"id":"W2914861497","doi":"10.1016/j.scs.2019.101447","title":"An applied framework to evaluate the impact of indoor office environmental factors on occupants’ comfort and working conditions","year":2019,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Data collection; Descriptive statistics; Productivity; Thermal comfort; Built environment; Work (physics); Architectural engineering; Applied psychology; Computer science; Psychology; Engineering; Statistics; Geography; Civil engineering; Mathematics","score_opus":0.0065682961966211945,"score_gpt":0.23129848988902035,"score_spread":0.22473019369239916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914861497","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":[0.9979991,0.00004769654,0.0010063653,0.000007100373,0.000029298513,0.00019926326,0.000007935232,0.000039109153,0.0006641503],"genre_scores_gemma":[0.9994636,0.00008337776,0.0001718017,0.00006986952,0.000018801045,0.000013786566,0.000035439214,0.000015886748,0.00012739329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99951065,0.000010376585,0.000090837675,0.00010644791,0.000088706394,0.00019300156],"domain_scores_gemma":[0.9997185,0.00007030153,0.000017601245,0.00013763772,0.000007864287,0.00004811672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103740545,0.00011052117,0.00012053558,0.000020657966,0.00017793254,0.000043462558,0.00006212475,0.00007790404,0.000063775915],"category_scores_gemma":[0.000002442909,0.000081021935,0.00005021837,0.00007880614,0.000057185185,0.00007199376,0.000028154172,0.00012453961,3.8759683e-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":[0.000025736304,0.000023358243,0.023095023,0.000056058896,0.00011903023,2.612181e-7,0.0077996776,0.9536551,0.00034372119,0.01422873,0.00023862466,0.00041463604],"study_design_scores_gemma":[0.001378555,0.0007697312,0.5101977,0.00014498383,0.000114794144,0.00000393131,0.2647063,0.21234778,0.0016868411,0.0063526793,0.0013163566,0.0009803356],"about_ca_topic_score_codex":0.00003747182,"about_ca_topic_score_gemma":4.0343892e-7,"teacher_disagreement_score":0.7413074,"about_ca_system_score_codex":0.000076709264,"about_ca_system_score_gemma":0.000013323504,"threshold_uncertainty_score":0.33039784},"labels":[],"label_agreement":null},{"id":"W2964769433","doi":"10.1016/j.scs.2019.101770","title":"Smarter ecosystems for smarter cities? A review of trends, technologies, and turning points for smart urban forestry","year":2019,"lang":"en","type":"review","venue":"Sustainable Cities and Society","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":223,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Nova Scotia; Dalhousie University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Green infrastructure; Smart city; Urban forestry; Sustainability; Urban planning; Big data; Business; Urban forest; Environmental planning; Citizen science; Environmental stewardship; Analytics; Environmental resource management; Geography; Internet of Things; Computer science; Data science; Engineering; Computer security; Civil engineering; Forestry; Ecology","score_opus":0.02270764065694444,"score_gpt":0.2813325266583512,"score_spread":0.25862488600140676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964769433","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":[0.00016482179,0.9947597,0.00012704202,0.00034370544,0.00012305805,0.0027460603,0.0002524507,0.000052343807,0.0014308284],"genre_scores_gemma":[0.000089136855,0.98176587,0.0007335951,0.00030998752,0.00008223801,0.000561899,0.00025974127,0.0000654313,0.01613209],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973936,0.0000615522,0.00074632623,0.0005765026,0.00024549104,0.0009764954],"domain_scores_gemma":[0.99858236,0.00025631578,0.0005990621,0.00041729136,0.00002477154,0.00012016809],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00112814,0.00051050325,0.0017720212,0.00006906481,0.00037774746,0.00006781849,0.00027243953,0.00048565608,0.0001929927],"category_scores_gemma":[0.000058556852,0.00040045226,0.0006818162,0.00017057554,0.00040754225,0.00025736864,0.00032403905,0.0002822934,0.0000028507975],"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":[0.000013919513,0.000042927753,0.0013702465,0.56884474,0.00021944642,0.0000018346052,0.0010197863,1.0284669e-7,2.1899696e-7,0.0013793843,0.16655542,0.260552],"study_design_scores_gemma":[0.00044527286,0.0002961891,0.00009506276,0.011320116,0.00046240448,0.000011734725,0.00588249,0.00002544756,5.6965683e-7,0.0004538692,0.9805747,0.0004321144],"about_ca_topic_score_codex":0.00009765196,"about_ca_topic_score_gemma":0.000007284274,"teacher_disagreement_score":0.8140193,"about_ca_system_score_codex":0.00047805835,"about_ca_system_score_gemma":0.00010825641,"threshold_uncertainty_score":0.99984473},"labels":[],"label_agreement":null},{"id":"W2974234787","doi":"10.1016/j.scs.2019.101848","title":"Forecast of urban water consumption under the impact of climate change","year":2019,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water resources management and optimization","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Climate change; Precipitation; Consumption (sociology); Linear regression; Bayesian probability; Climatology; Water supply; Regression analysis; Econometrics; Meteorology; Statistics; Mathematics; Geography; Environmental engineering","score_opus":0.0097701602220379,"score_gpt":0.2042687904105349,"score_spread":0.194498630188497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974234787","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":[0.99695086,0.00027150402,0.00022073415,0.000020092342,0.000024087676,0.0002249684,0.0000049679265,0.000022952005,0.0022598174],"genre_scores_gemma":[0.9981908,0.00085228134,0.000021062866,0.000011662944,0.00002162561,0.000007700224,0.000014885239,0.000010135494,0.0008698021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961513,0.0000073005167,0.00008870981,0.000049125923,0.000052332274,0.00018739025],"domain_scores_gemma":[0.99984324,0.000008832583,0.00001986156,0.00008191526,0.000034407065,0.000011748613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010440387,0.000065365515,0.000094166935,0.000017166534,0.00004502064,0.000021522845,0.000041561263,0.000033239772,0.00008440754],"category_scores_gemma":[3.4517024e-7,0.000037741636,0.000079621226,0.000031680884,0.000048208458,0.00012601232,0.000047274956,0.000035461457,0.0000014762799],"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":[0.00009962071,0.000070072965,0.25438058,0.014029467,0.001001928,0.000002147268,0.18925941,0.48549476,0.0008939324,0.045207918,0.0075207804,0.002039384],"study_design_scores_gemma":[0.0024060127,0.0004447155,0.14575191,0.00015160705,0.00016337892,0.0000025537342,0.23781995,0.6018076,0.0028677844,0.0033981819,0.004518234,0.0006680632],"about_ca_topic_score_codex":0.00007990686,"about_ca_topic_score_gemma":5.660754e-7,"teacher_disagreement_score":0.11631285,"about_ca_system_score_codex":0.000030919244,"about_ca_system_score_gemma":0.0000016851978,"threshold_uncertainty_score":0.15390593},"labels":[],"label_agreement":null},{"id":"W2980516830","doi":"10.1016/j.scs.2019.101892","title":"A multi-criteria assessment of the passengers’ level of comfort in urban railway rolling stock","year":2019,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Noise Effects and Management","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Train; Transport engineering; TRIPS architecture; Service quality; Sustainable transport; Service (business); Sustainable development; Engineering; Business; Marketing; Sustainability","score_opus":0.059319626883752447,"score_gpt":0.38786410029665913,"score_spread":0.3285444734129067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980516830","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":[0.992696,0.00016678072,0.00059609074,0.00032397674,0.00025479635,0.0016571073,0.000021569605,0.000011300238,0.0042724037],"genre_scores_gemma":[0.9628369,0.00008672263,0.0010525743,0.00030238443,0.000030273952,0.00007332184,0.000003637347,0.000013105141,0.035601072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873316,0.00019761089,0.00034820146,0.00015801717,0.00017152607,0.0003915064],"domain_scores_gemma":[0.9991996,0.00020155363,0.00018898137,0.00024752298,0.00012886923,0.000033419547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069675,0.00011077704,0.00031118037,0.000030949097,0.0002632111,0.000008491293,0.00012632908,0.000099480996,0.00012642922],"category_scores_gemma":[0.000023587892,0.00007759033,0.000114771356,0.00014749182,0.000085210435,0.00009057362,0.000308073,0.00027760796,4.7526532e-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":[0.00005495277,0.0002886886,0.78077835,0.017290512,0.00022673351,0.000004246491,0.10150124,0.00033872525,0.0026852635,0.064488,0.031947654,0.00039561262],"study_design_scores_gemma":[0.0026440811,0.00011161816,0.54826874,0.00039458452,0.000029624818,1.09727345e-7,0.42342207,0.007876827,0.000053066993,0.00044076037,0.016599676,0.00015885985],"about_ca_topic_score_codex":0.0015460989,"about_ca_topic_score_gemma":0.00005460641,"teacher_disagreement_score":0.3219208,"about_ca_system_score_codex":0.0001715899,"about_ca_system_score_gemma":0.00023863676,"threshold_uncertainty_score":0.3164042},"labels":[],"label_agreement":null},{"id":"W2989594416","doi":"10.1016/j.scs.2019.101979","title":"An integrated BIM-LEED application to automate sustainable design assessment framework at the conceptual stage of building projects","year":2019,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Building information modeling; Sustainability; Certification; Interface (matter); Process (computing); Systems engineering; Interdependence; Engineering; Building design; Conceptual design; Computer science; Construction engineering; Architectural engineering; Operations management","score_opus":0.00878939753877405,"score_gpt":0.26049666514974046,"score_spread":0.2517072676109664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989594416","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":[0.5413485,0.00030527852,0.45530322,0.000101422884,0.00007573484,0.0020148489,0.000011595608,0.0003114015,0.00052800623],"genre_scores_gemma":[0.9671726,0.000107715285,0.018413128,0.00017706066,0.000052032363,0.00040183478,0.000020516882,0.00007420997,0.013580899],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9976854,0.00014100985,0.00037995755,0.0004335459,0.00036746846,0.0009926186],"domain_scores_gemma":[0.9984046,0.00030160107,0.00011020849,0.0005637327,0.0004563331,0.00016353137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012134183,0.0003510432,0.00041069958,0.00010193153,0.00048782918,0.00023957917,0.0003452102,0.00021125942,0.00010767212],"category_scores_gemma":[0.000043777414,0.0002850647,0.00011817327,0.0007149026,0.0002055508,0.00040599404,0.00021235207,0.00034366306,0.0000023279524],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006955645,0.000091372545,0.0017868518,0.0026569914,0.00025081332,0.000019932992,0.021840785,0.32723743,0.007985781,0.63243854,0.004370099,0.0012518215],"study_design_scores_gemma":[0.00062965037,0.00043743433,0.0009850562,0.00008079902,0.0000456031,0.0000031297736,0.76825505,0.19388191,0.004018157,0.00534424,0.025767097,0.0005518527],"about_ca_topic_score_codex":0.00047208686,"about_ca_topic_score_gemma":0.0000014546072,"teacher_disagreement_score":0.7464143,"about_ca_system_score_codex":0.0012020807,"about_ca_system_score_gemma":0.00039904146,"threshold_uncertainty_score":0.9999601},"labels":[],"label_agreement":null},{"id":"W3001633317","doi":"10.1016/j.scs.2020.102025","title":"Comparing urban canopy models for microclimate simulations in Weather Research and Forecasting Models","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Urban heat island; Weather Research and Forecasting Model; Microclimate; Environmental science; Dew point; Wind speed; Atmospheric sciences; Meteorology; Relative humidity; Humidity; Canopy; Intensity (physics); Urban climate; Air temperature; Evapotranspiration; Atmosphere (unit); Urban planning; Geography; Geology","score_opus":0.10643822178899633,"score_gpt":0.2794680316001703,"score_spread":0.173029809811174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001633317","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":[0.9910065,0.00021750352,0.0042302147,0.00044632022,0.000005867936,0.00046874137,0.000013266903,0.000018665163,0.003592956],"genre_scores_gemma":[0.99639416,0.00005321755,0.0016725361,0.00014455606,0.000028227003,0.000037721325,0.000010174892,0.000013683444,0.0016457161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990608,0.000024134175,0.00014325422,0.00023636251,0.00012492083,0.0004105027],"domain_scores_gemma":[0.9996701,0.00013185131,0.00002294511,0.000060748785,0.00003488885,0.00007950638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000310933,0.00008201437,0.00012688764,0.00001595772,0.000426344,0.00008147403,0.00005732709,0.00005439876,0.000016060578],"category_scores_gemma":[0.000021988737,0.00008244528,0.000027491113,0.00015861948,0.00017927623,0.00042304434,0.00017650302,0.000117152405,3.6492997e-7],"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":[0.00009240885,0.00005612107,0.22102597,0.0009135428,0.000030644736,0.000005838201,0.19432701,0.5148126,0.0017168488,0.05567154,0.010847007,0.0005004685],"study_design_scores_gemma":[0.0004590276,0.000047377496,0.0009959821,0.000012337814,0.0000035886176,5.006277e-7,0.038266398,0.9115459,0.000069306414,0.04784578,0.000652034,0.00010177795],"about_ca_topic_score_codex":0.0010398517,"about_ca_topic_score_gemma":0.00009823807,"teacher_disagreement_score":0.39673328,"about_ca_system_score_codex":0.00016864376,"about_ca_system_score_gemma":0.00002011183,"threshold_uncertainty_score":0.33620209},"labels":[],"label_agreement":null},{"id":"W3024789105","doi":"10.1016/j.scs.2020.102225","title":"Digging for the truth: A combined method to analyze the literature on stream daylighting","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Green Space and Health","field":"Environmental Science","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 Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Scope (computer science); Daylighting; Terminology; Architectural engineering; Environmental resource management; Environmental planning; Geography; Computer science; Environmental science; Engineering; Linguistics","score_opus":0.011785054645843146,"score_gpt":0.25977552863395714,"score_spread":0.247990473988114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024789105","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":[0.62000084,0.0023681575,0.03558737,0.32879674,0.00027668287,0.0041071973,0.000115609495,0.00023497519,0.008512429],"genre_scores_gemma":[0.9666847,0.00017349298,0.0038211218,0.020823898,0.00028921233,0.00010758153,0.000008540752,0.000024080362,0.008067382],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9990676,0.00004614076,0.00010582006,0.0002350232,0.00015342132,0.00039197342],"domain_scores_gemma":[0.99901694,0.0006597962,0.0000422592,0.00015249451,0.000018904753,0.00010960497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050397066,0.00011775165,0.00013008784,0.0000055179753,0.0011433805,0.00018628714,0.00017994407,0.00004783517,0.00005633062],"category_scores_gemma":[0.00008259451,0.00006356106,0.00011347379,0.00029353736,0.000085408974,0.00009876865,0.00017219047,0.00017572133,0.000002822953],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027084487,0.00006454105,0.024339147,0.0006565597,0.00018799007,0.0000132434325,0.4245241,0.003485901,0.00015330661,0.08287876,0.44698203,0.016443577],"study_design_scores_gemma":[0.00094277743,0.0007983382,0.0133966,0.000050695762,0.00008815205,0.0000020044456,0.56568575,0.023176827,0.00011909957,0.0050573098,0.39030027,0.00038218038],"about_ca_topic_score_codex":0.0004322318,"about_ca_topic_score_gemma":0.000022796949,"teacher_disagreement_score":0.34668386,"about_ca_system_score_codex":0.000088581255,"about_ca_system_score_gemma":0.000018847339,"threshold_uncertainty_score":0.8794074},"labels":[],"label_agreement":null},{"id":"W3027783526","doi":"10.1016/j.scs.2020.102281","title":"Data and analysis toolbox for modeling the nexus of food, energy, and water","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Nexus (standard); Food energy; Toolbox; Water-energy nexus; Interdependence; Environmental economics; Agriculture; Water use; Environmental science; Electricity; Water resources; Sustainability; Resource (disambiguation); Natural resource economics; Computer science; Engineering; Economics; Geography; Ecology","score_opus":0.024660632994048495,"score_gpt":0.21530356105883486,"score_spread":0.19064292806478636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027783526","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":[0.92907643,0.0049858154,0.04812243,0.009064369,0.00003754556,0.00040854793,0.0005872614,0.000054206605,0.0076633757],"genre_scores_gemma":[0.99782884,0.00023262417,0.00038534924,0.00064721185,0.000030146257,0.00001624169,0.00003349978,0.000008743592,0.0008173379],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912477,0.000020120222,0.0001414146,0.0003039014,0.00011501489,0.00029481013],"domain_scores_gemma":[0.9996425,0.00005174782,0.000029584175,0.00019675466,0.000020747008,0.000058663187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019968777,0.000114294686,0.00020452117,0.000008468425,0.00044773566,0.000056967805,0.00016312917,0.000042132448,0.00001579133],"category_scores_gemma":[0.000016354417,0.00006946535,0.00006026563,0.00011883642,0.0003375835,0.00022909394,0.0010257444,0.000036449033,5.3021864e-8],"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":[0.0004368088,0.00020243117,0.018091347,0.0032746224,0.009695441,0.000020432464,0.37963414,0.07470536,0.0037241166,0.42382511,0.0720176,0.014372589],"study_design_scores_gemma":[0.00051017525,0.00023239228,0.00029356522,0.00000447088,0.00053692586,0.0000014265609,0.24821118,0.6502575,0.0006601272,0.0811646,0.017853893,0.00027369996],"about_ca_topic_score_codex":0.00089230476,"about_ca_topic_score_gemma":0.00011643934,"teacher_disagreement_score":0.57555217,"about_ca_system_score_codex":0.000021480813,"about_ca_system_score_gemma":0.000005883891,"threshold_uncertainty_score":0.34436658},"labels":[],"label_agreement":null},{"id":"W3033589589","doi":"10.1016/j.scs.2020.102285","title":"Performance of a self-learning predictive controller for peak shifting in a building integrated with energy storage","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRNSYS; Thermal energy storage; Load shifting; Peak demand; Environmental science; Electricity; Demand response; Computer science; Automotive engineering; Controller (irrigation); Energy storage; Electricity pricing; Heating system; Simulation; Thermal; Electricity market; Engineering; Meteorology; Electrical engineering; Mechanical engineering; Power (physics)","score_opus":0.002785421375309326,"score_gpt":0.15964285134280803,"score_spread":0.1568574299674987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033589589","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":[0.8930781,0.00029446566,0.1059561,0.000028901739,0.000012581539,0.000121911224,0.000002503515,0.00015068082,0.00035474772],"genre_scores_gemma":[0.9959364,0.00022543961,0.0035572967,0.000044002132,0.000029148514,0.000051709383,0.0000070404876,0.000021281397,0.0001277056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999481,0.000011453578,0.0001257904,0.000109110624,0.00006012056,0.00021251407],"domain_scores_gemma":[0.9997699,0.000046472112,0.00003539052,0.00003020692,0.000085112086,0.00003286953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010402211,0.00010058138,0.00017144605,0.000024352226,0.00010775317,0.000022796887,0.000043389657,0.00006354062,0.0000020513316],"category_scores_gemma":[0.000015135019,0.00009109416,0.000036714602,0.00019888711,0.0000290986,0.00016115527,0.000020517415,0.000119727825,4.7836495e-9],"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":[0.000075379634,0.0000053588947,0.001227501,0.0004910063,0.00006510583,8.961784e-7,0.00859426,0.98485667,0.000074568416,0.0042175474,0.00005454308,0.00033714165],"study_design_scores_gemma":[0.00076616625,0.00019564306,0.00021348923,0.000050922386,0.000014986254,5.643522e-7,0.029144904,0.96808004,0.00019343696,0.00003776036,0.0011981513,0.00010393386],"about_ca_topic_score_codex":0.000046848527,"about_ca_topic_score_gemma":0.0000014168992,"teacher_disagreement_score":0.10285827,"about_ca_system_score_codex":0.00006966012,"about_ca_system_score_gemma":0.000034718436,"threshold_uncertainty_score":0.37147123},"labels":[],"label_agreement":null},{"id":"W3039246129","doi":"10.1016/j.scs.2020.102345","title":"A definition framework for building adaptation projects","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Mitacs","keywords":"Scope (computer science); Adaptation (eye); Retrofitting; Computer science; Reuse; CLARITY; Work (physics); Terminology; Categorization; Architectural engineering; Risk analysis (engineering); Management science; Engineering; Construction engineering; Business; Artificial intelligence","score_opus":0.14698947018731062,"score_gpt":0.2528126859844402,"score_spread":0.10582321579712956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039246129","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":[0.5637758,0.0028421932,0.18749087,0.036870927,0.00075339567,0.0054787123,0.00013665532,0.0010826335,0.20156883],"genre_scores_gemma":[0.9763796,0.000116040275,0.0143326875,0.0025630072,0.00082577777,0.00013378488,0.0000700958,0.000015156198,0.0055638994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99948806,0.000011366231,0.00009936149,0.00013630265,0.0000768851,0.00018804493],"domain_scores_gemma":[0.9996672,0.00006873247,0.000044669192,0.000038699454,0.000148561,0.000032116594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009686259,0.00008211257,0.00008709293,0.000009547494,0.00062552263,0.0003437442,0.000043271757,0.000037609727,0.00011698233],"category_scores_gemma":[0.00006509186,0.00007346466,0.00007512347,0.000036766876,0.000067974324,0.00043372126,0.000039943523,0.00006492025,9.695023e-7],"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":[0.000015612639,0.0000035767428,0.000013159449,0.000494933,0.000016995447,4.0012802e-7,0.16620505,0.0000062008507,0.000003164888,0.82470083,0.007901345,0.0006387379],"study_design_scores_gemma":[0.00017814763,0.00008583889,0.000021880194,0.000016212578,0.000020026202,6.4485526e-8,0.5138737,0.0035093075,0.000005915127,0.24333678,0.2388515,0.0001006224],"about_ca_topic_score_codex":0.00014846952,"about_ca_topic_score_gemma":0.000012115666,"teacher_disagreement_score":0.58136404,"about_ca_system_score_codex":0.000023016382,"about_ca_system_score_gemma":0.000014403108,"threshold_uncertainty_score":0.48110774},"labels":[],"label_agreement":null},{"id":"W3039898849","doi":"10.1016/j.scs.2020.102371","title":"The contribution of dry indoor built environment on the spread of Coronavirus: Data from various Indian states","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Department of Science and Technology, Republic of the Philippines; Ministry of Education, India; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Metropolitan area; Environmental science; Coronavirus; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Indoor air quality; Environmental engineering; Meteorology; Geography; Environmental health; Computer science; Telecommunications","score_opus":0.021418870396978262,"score_gpt":0.2562823895937906,"score_spread":0.23486351919681236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039898849","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":[0.99077994,0.0011388813,0.0021750089,0.00492692,0.000041263585,0.0005194554,0.00018887909,0.00001298528,0.0002166728],"genre_scores_gemma":[0.9975191,0.0010904019,0.000016703483,0.0007512358,0.000079606434,0.00001008462,0.00021500085,0.0000057211573,0.00031216544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933755,0.000045836565,0.00018336426,0.0001255205,0.00016220086,0.00014551608],"domain_scores_gemma":[0.9992479,0.00028314305,0.00012420818,0.00022576883,0.00008127567,0.000037672522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030772516,0.00007339787,0.00015581536,0.000005830394,0.00023971124,0.000020369987,0.000082411294,0.00005516078,0.000066056775],"category_scores_gemma":[0.0001132116,0.000042731834,0.000061782586,0.00004843483,0.00020128353,0.0000650569,0.00010287589,0.00012621931,0.0000012762414],"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":[0.006173185,0.0010799762,0.5719105,0.0019713747,0.004557549,0.00006362273,0.14954251,0.0011191339,0.005078045,0.17239994,0.043181207,0.042922974],"study_design_scores_gemma":[0.0068000187,0.0018725188,0.3629437,0.00015013875,0.00057286245,0.0000023165646,0.33957487,0.03981057,0.0060440614,0.011831719,0.23005933,0.0003378893],"about_ca_topic_score_codex":0.0011993006,"about_ca_topic_score_gemma":0.000013141473,"teacher_disagreement_score":0.20896676,"about_ca_system_score_codex":0.00004650141,"about_ca_system_score_gemma":0.00006979871,"threshold_uncertainty_score":0.18436892},"labels":[],"label_agreement":null},{"id":"W3092004241","doi":"10.1016/j.scs.2020.102540","title":"Vulnerability evaluation of rainstorm disaster based on ESA conceptual framework: A case study of Liaoning province, China","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Liaoning Office of Philosophy and Social Science; National Office for Philosophy and Social Sciences; Department of Education of Liaoning Province","keywords":"Vulnerability (computing); Social vulnerability; Flood myth; Geography; Climate change; China; Adaptive capacity; Hazard; Vulnerability assessment; Natural disaster; Natural hazard; Environmental resource management; Environmental planning; Environmental science; Meteorology; Psychological resilience; Computer science; Computer security","score_opus":0.020715515023248796,"score_gpt":0.27661378919618634,"score_spread":0.25589827417293753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092004241","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":[0.99468493,0.000023854867,0.0010340423,0.00016319018,0.00002439524,0.0009961667,0.0000037194254,0.0000149407515,0.003054752],"genre_scores_gemma":[0.99897164,0.000004514693,0.0005105213,0.00018376327,0.000020958709,0.000045781835,0.0000026239154,0.000007618605,0.0002525863],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9986567,0.00014780788,0.00021355295,0.000263472,0.00051110133,0.00020735989],"domain_scores_gemma":[0.99953884,0.000073699455,0.00011538085,0.00017180084,0.000039992738,0.0000602643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087248674,0.00012233946,0.00019219915,0.0000103712455,0.00021159911,0.000023231902,0.000084623076,0.000049024908,0.00036909652],"category_scores_gemma":[0.000087720444,0.000101069694,0.00007107433,0.00017149288,0.00030499522,0.0001656071,0.00019697973,0.00013332481,4.1573023e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017803758,0.001832194,0.3473685,0.00093690684,0.00016230255,0.00010112496,0.515594,0.11721976,0.00005070964,0.0035638306,0.0033128296,0.009679798],"study_design_scores_gemma":[0.0015347305,0.0011590903,0.027305778,0.000014701549,0.00009526633,6.539771e-7,0.8343971,0.13457787,0.000025037198,0.00046517877,0.00027404787,0.00015055889],"about_ca_topic_score_codex":0.0016394838,"about_ca_topic_score_gemma":0.000059306953,"teacher_disagreement_score":0.32006273,"about_ca_system_score_codex":0.00017571247,"about_ca_system_score_gemma":0.0000543808,"threshold_uncertainty_score":0.41215026},"labels":[],"label_agreement":null},{"id":"W3094021111","doi":"10.1016/j.scs.2020.102566","title":"A planning model for using municipal solid waste management technologies- considering Energy, Economic, and Environmental Impacts in Tehran-Iran","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incineration; Waste management; Anaerobic digestion; Municipal solid waste; Energy recovery; Mechanical biological treatment; Cleaner production; Raw material; Environmental science; Waste-to-energy; Mobile incinerator; Waste treatment; Environmental pollution; Pollution; Engineering; Environmental engineering; Waste collection; Environmental protection; Energy (signal processing); Chemistry; Methane","score_opus":0.0252876607350331,"score_gpt":0.24355531192541785,"score_spread":0.21826765119038474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094021111","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":[0.99128866,0.000520628,0.005753595,0.00033584755,0.000015549711,0.0005305925,0.000016841257,0.00005445187,0.0014838143],"genre_scores_gemma":[0.99566203,0.00049143896,0.0028525912,0.00044768045,0.000016475258,0.00005499815,0.000006899705,0.00002566947,0.00044220773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985841,0.000016707814,0.00024288455,0.00041431095,0.000109926914,0.00063210673],"domain_scores_gemma":[0.99962354,0.000030904426,0.00007491578,0.00017008636,0.0000013879704,0.00009918455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021094126,0.00021615409,0.0002483726,0.0000318489,0.00032191942,0.00009394866,0.00016794098,0.000087952794,0.000023839999],"category_scores_gemma":[0.0000067481546,0.00023088913,0.00007065268,0.00006436432,0.00032610254,0.00027511356,0.0013120384,0.00011406441,5.388896e-7],"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":[0.000045333836,0.000022061773,0.002575939,0.00035442915,0.000070943126,0.0000307147,0.021289535,0.9692523,0.00011161064,0.004959261,0.00049194566,0.00079595577],"study_design_scores_gemma":[0.0006279666,0.000039926115,0.00006127739,0.000017481434,0.000020345162,0.0000015151901,0.281512,0.7147972,0.00006820531,0.0016335279,0.0010282731,0.00019227361],"about_ca_topic_score_codex":0.00052252965,"about_ca_topic_score_gemma":0.000026286085,"teacher_disagreement_score":0.26022243,"about_ca_system_score_codex":0.00048966036,"about_ca_system_score_gemma":0.000007857625,"threshold_uncertainty_score":0.9415385},"labels":[],"label_agreement":null},{"id":"W3095677657","doi":"10.1016/j.scs.2020.102572","title":"Automated cognitive health assessment in smart homes using machine learning","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":174,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Dementia; Cognition; Applied psychology; Home automation; Activities of daily living; Psychology; AdaBoost; Quality of life (healthcare); Gerontology; Machine learning; Computer science; Clinical psychology; Medicine; Support vector machine; Psychiatry","score_opus":0.027295550175526283,"score_gpt":0.2952265449248475,"score_spread":0.26793099474932125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095677657","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":[0.7305224,0.0024147371,0.2536294,0.009608547,0.00016267478,0.0010798766,0.00002224139,0.0013008396,0.0012593173],"genre_scores_gemma":[0.9955679,0.00014173886,0.0021724142,0.0017476948,0.000035047604,0.000018191398,0.000011496358,0.000012184081,0.00029332063],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998464,0.00024542832,0.0002544498,0.0003631069,0.0002115976,0.00046142278],"domain_scores_gemma":[0.99928033,0.00018175258,0.00013775905,0.00008715937,0.00016891475,0.00014406859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005839158,0.00015324276,0.00032043882,0.0000474057,0.00042276212,0.00030786954,0.00014498536,0.000060782026,0.000011093407],"category_scores_gemma":[0.000062961204,0.00015943621,0.00008306524,0.00047176555,0.00006764327,0.00064411527,0.00031854006,0.00033128005,0.00000129879],"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":[0.00008250974,0.0005014527,0.33616114,0.008079173,0.0007380036,0.00053239125,0.51613533,0.001751696,0.00038205285,0.038170382,0.0064167646,0.091049075],"study_design_scores_gemma":[0.00092554063,0.0001758538,0.009016854,0.000099475714,0.000005362272,0.000013818075,0.14525358,0.84160954,0.00002546947,0.0002705461,0.0023568335,0.000247146],"about_ca_topic_score_codex":0.0023103477,"about_ca_topic_score_gemma":0.000029371815,"teacher_disagreement_score":0.8398578,"about_ca_system_score_codex":0.00027601264,"about_ca_system_score_gemma":0.00048967224,"threshold_uncertainty_score":0.650162},"labels":[],"label_agreement":null},{"id":"W3097303799","doi":"10.1016/j.scs.2020.102583","title":"Developing a novel proximity analysis approach for assessment of waste management cost efficiency in low population density regions","year":2020,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data collection; Index (typography); Population; Nova scotia; Environmental resource management; Environmental science; Geography; Statistics; Computer science; Mathematics","score_opus":0.027041394435270604,"score_gpt":0.26546416663437616,"score_spread":0.23842277219910557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097303799","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":[0.41071486,0.0000102511685,0.58528376,0.00036666237,0.00000814766,0.0013703555,0.0000057957745,0.000014828018,0.002225367],"genre_scores_gemma":[0.96500653,0.00003799343,0.03408386,0.00025008403,0.000009407766,0.00013193396,0.000038506023,0.0000082098195,0.00043348726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987137,0.000030471967,0.00027591438,0.00036307497,0.00025590474,0.0003609528],"domain_scores_gemma":[0.99959284,0.000025504152,0.00011979772,0.00017196497,0.00002417437,0.000065697815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004945488,0.00013132891,0.0002623688,0.00004214993,0.00023244815,0.000040544433,0.00016012632,0.000048239366,0.000011915189],"category_scores_gemma":[0.000013247224,0.00013011131,0.00013938548,0.0008756478,0.000111732465,0.00016915152,0.00052447396,0.00007904097,1.10234254e-7],"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":[0.00002230869,0.00020958483,0.07396813,0.0021902388,0.0002814207,0.0000028381432,0.007490251,0.81019586,0.00000986083,0.10496473,0.000248925,0.0004158555],"study_design_scores_gemma":[0.0005627333,0.000035596273,0.10875004,0.0000127712365,0.00014334482,1.3000245e-7,0.08454088,0.80492884,0.000009081053,0.0006424116,0.00019940615,0.00017479452],"about_ca_topic_score_codex":0.0009338283,"about_ca_topic_score_gemma":0.000044662895,"teacher_disagreement_score":0.55429167,"about_ca_system_score_codex":0.00053010473,"about_ca_system_score_gemma":0.000014730106,"threshold_uncertainty_score":0.5305785},"labels":[],"label_agreement":null},{"id":"W3129368088","doi":"10.1016/j.scs.2021.102799","title":"Integrated level of service index for buried water infrastructure: Selection and development of performance indicators","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"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":"Index (typography); Stormwater; Computer science; Service (business); Sustainable development; Fuzzy logic; Level of service; Performance indicator; Environmental planning; Environmental resource management; Environmental science; Business; Environmental economics; Transport engineering; Engineering; Artificial intelligence","score_opus":0.019812934862960385,"score_gpt":0.22967685205017296,"score_spread":0.2098639171872126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129368088","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":[0.7785371,0.000050912662,0.22102544,0.00015540548,0.000027075313,0.00010543173,0.0000026536518,0.000010853871,0.00008514707],"genre_scores_gemma":[0.98177105,0.000034559354,0.01759685,0.0001785069,0.000009668816,0.0000123475975,0.000006459354,0.000002910738,0.000387646],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993042,0.000012123423,0.00016152921,0.00018162887,0.00011483523,0.00022571109],"domain_scores_gemma":[0.9992262,0.000025730316,0.000054895747,0.00006586946,0.00059257454,0.000034735105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026509957,0.00007806061,0.00013005115,0.000048960268,0.00025937735,0.000049574475,0.0001017729,0.000052038366,0.0000050118065],"category_scores_gemma":[0.000016325932,0.000061260056,0.000024764664,0.00038692242,0.00007523143,0.00033312416,0.00021261444,0.000061894505,4.3062997e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076788994,0.00013014047,0.03766684,0.00981162,0.00040200647,0.0000041802277,0.500316,0.00036214004,0.030218532,0.056117084,0.001094086,0.36380053],"study_design_scores_gemma":[0.0018118204,0.0001917084,0.11265623,0.00016355647,0.000025577681,0.00001951431,0.3106383,0.05379131,0.47326252,0.008186636,0.038692247,0.0005605663],"about_ca_topic_score_codex":0.000031957734,"about_ca_topic_score_gemma":0.00000846307,"teacher_disagreement_score":0.443044,"about_ca_system_score_codex":0.000038915507,"about_ca_system_score_gemma":0.00042866645,"threshold_uncertainty_score":0.24981126},"labels":[],"label_agreement":null},{"id":"W3149711985","doi":"10.1016/j.scs.2021.103175","title":"Mitigating COVID-19 infection disease transmission in indoor environment using physical barriers","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; National Natural Science Foundation of China","keywords":"Transmission (telecommunications); Airborne transmission; Ventilation (architecture); Infection risk; Desk; Coronavirus disease 2019 (COVID-19); Aerosol; Environmental science; Simulation; Computer science; Meteorology; Disease; Medicine; Physics; Telecommunications; Infectious disease (medical specialty); Emergency medicine","score_opus":0.010832872459288477,"score_gpt":0.27093999212833925,"score_spread":0.26010711966905076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149711985","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":[0.9808597,0.00032091158,0.017614631,0.0007521214,0.000028859366,0.00021084238,0.0000021601645,0.000025982989,0.00018477702],"genre_scores_gemma":[0.9975356,0.00020410054,0.00016487403,0.0007823682,0.000114908136,0.000016667258,0.000022831624,0.000009182029,0.0011494547],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930966,0.00005019288,0.00012421756,0.00017864785,0.00012766998,0.0002096352],"domain_scores_gemma":[0.99954945,0.00003590035,0.00003350292,0.00006717362,0.00004397861,0.00026997377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015853436,0.00008820049,0.00014668239,0.00002662269,0.0003363652,0.00003216123,0.000008173574,0.000056458168,0.00011364334],"category_scores_gemma":[0.00009829843,0.00008570075,0.00013160132,0.00011461169,0.0000725011,0.00012631509,0.00002080197,0.00013665638,3.329316e-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":[0.00041118826,0.0004195861,0.912641,0.005638685,0.00019217262,0.00044143773,0.047675733,0.012903792,0.0056222896,0.0071363915,0.0005544137,0.0063632983],"study_design_scores_gemma":[0.009488154,0.00024238095,0.30315247,0.00028165398,0.00048580347,0.00006542739,0.15582502,0.4681245,0.0015419453,0.008804041,0.05136622,0.00062236283],"about_ca_topic_score_codex":0.00024315537,"about_ca_topic_score_gemma":0.000001104207,"teacher_disagreement_score":0.60948855,"about_ca_system_score_codex":0.00039673358,"about_ca_system_score_gemma":0.00041825025,"threshold_uncertainty_score":0.3494775},"labels":[],"label_agreement":null},{"id":"W3153297155","doi":"10.1016/j.scs.2021.102926","title":"Surface urban heat island intensity in five major cities of Bangladesh: Patterns, drivers and trends","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":243,"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 Calgary","funders":"World Bank Group","keywords":"Urbanization; Geography; Urban heat island; Population; Livelihood; Megacity; Physical geography; Socioeconomics; Demography; Meteorology; Economic growth; Economy","score_opus":0.004751350605434365,"score_gpt":0.19077228388632847,"score_spread":0.1860209332808941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153297155","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":[0.99651533,0.00048243726,0.000027905775,0.00032155574,0.000032584867,0.00007678089,0.000038122096,0.000012097546,0.0024932062],"genre_scores_gemma":[0.97800845,0.00046352958,0.00014489653,0.00017086741,0.000016155356,0.0000035794783,0.000029374585,0.000008376606,0.02115477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991185,0.000034467186,0.00015438566,0.0002488286,0.00014599798,0.00029778716],"domain_scores_gemma":[0.9997119,0.000046111545,0.000029479728,0.000117769065,0.000035327703,0.00005947024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001509093,0.00012233325,0.00021051329,0.000018120092,0.0001398339,0.00004085166,0.000049860755,0.00008702359,0.0003629782],"category_scores_gemma":[0.000011861436,0.00012004015,0.000058809863,0.00017743898,0.00032781408,0.00023273016,0.00020596255,0.00011494849,6.618017e-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":[0.00001451901,0.000026000553,0.9374082,0.0002152836,0.000024113564,0.000034385423,0.043760374,0.00011753214,0.00033464277,0.0004566598,0.017340083,0.0002681673],"study_design_scores_gemma":[0.0010379299,0.000088406996,0.6220668,0.000050206712,0.000028844555,0.000014735751,0.36995772,0.0010364342,0.0018661611,0.0010149153,0.0025776003,0.0002602535],"about_ca_topic_score_codex":0.0049366467,"about_ca_topic_score_gemma":0.0007407081,"teacher_disagreement_score":0.32619736,"about_ca_system_score_codex":0.00016709986,"about_ca_system_score_gemma":0.000020560652,"threshold_uncertainty_score":0.74627656},"labels":[],"label_agreement":null},{"id":"W3154019088","doi":"10.1016/j.scs.2021.102908","title":"Adapting Gaussian YOLOv3 with transfer learning for overhead view human detection in smart cities and societies","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Deanship of Scientific Research, King Saud University; King Saud University","keywords":"Overhead (engineering); Transfer of learning; Computer science; Gaussian; Transfer (computing); Artificial intelligence; Architectural engineering; Engineering; Physics","score_opus":0.016137824693535873,"score_gpt":0.25953997258396644,"score_spread":0.24340214789043058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154019088","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":[0.7318492,0.0033073202,0.2628671,0.0006225886,0.000060334976,0.0002424289,0.000001493362,0.000109513116,0.00094003347],"genre_scores_gemma":[0.98699397,0.00083645695,0.008565641,0.0002662466,0.00005264566,0.000053772237,0.0000037965851,0.000017052716,0.0032104084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99864775,0.00014474844,0.00019343583,0.0003821297,0.00014652972,0.00048543597],"domain_scores_gemma":[0.9993834,0.00021774262,0.00003819795,0.00014070564,0.00016746568,0.000052503674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009514604,0.00017015882,0.00028240727,0.000034862354,0.00086831086,0.00038616636,0.00009542433,0.0001044457,0.0000036697752],"category_scores_gemma":[0.000037361056,0.00015733278,0.000098913115,0.0002552277,0.00016753093,0.00049434294,0.000086923785,0.00024962513,6.4395564e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012415498,0.00016890233,0.11943429,0.012880565,0.0005449726,0.00020743819,0.29422036,0.0019236319,0.0019704222,0.40499353,0.0006801423,0.16285159],"study_design_scores_gemma":[0.0045499764,0.0011890952,0.09451123,0.00063233613,0.000071343246,0.00017250158,0.77470756,0.024167066,0.0048874603,0.06259683,0.03097712,0.00153751],"about_ca_topic_score_codex":0.00018302114,"about_ca_topic_score_gemma":0.00019565724,"teacher_disagreement_score":0.48048717,"about_ca_system_score_codex":0.00007981923,"about_ca_system_score_gemma":0.00013049187,"threshold_uncertainty_score":0.6678433},"labels":[],"label_agreement":null},{"id":"W3164920349","doi":"10.1016/j.scs.2021.103048","title":"n-Gram based language processing using Twitter dataset to identify COVID-19 patients","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Seneca Polytechnic","funders":"Alfaisal University","keywords":"Coronavirus disease 2019 (COVID-19); n-gram; Gram; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Natural language processing; Artificial intelligence; Medicine; Language model; Virology; Biology; Pathology; Outbreak","score_opus":0.028934895796787725,"score_gpt":0.3423196018229588,"score_spread":0.3133847060261711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164920349","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":[0.5916761,0.00092531915,0.40465793,0.0019657968,0.00014543433,0.00023366268,0.00006875259,0.000099686724,0.00022727037],"genre_scores_gemma":[0.92264575,0.000027085054,0.04802317,0.025104372,0.00013666287,0.000019094876,0.0008612505,0.000022761711,0.0031598636],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9986919,0.00005614614,0.00018324786,0.00040237402,0.00027627207,0.0003900401],"domain_scores_gemma":[0.99919546,0.000045452867,0.00006988117,0.00030476446,0.00019040481,0.00019406692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032132445,0.00012831087,0.00016838912,0.000053288164,0.0005896759,0.0008411537,0.00023707816,0.000050701725,0.00006111141],"category_scores_gemma":[0.00007683649,0.00012502908,0.00009497877,0.00052269734,0.00004424778,0.00046446078,0.00043052397,0.000081525635,0.000002208624],"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":[0.00003466964,0.0006888677,0.07986647,0.004543508,0.0004516461,0.0007621719,0.20673452,0.007870711,0.0013445965,0.008945659,0.6585776,0.030179553],"study_design_scores_gemma":[0.0025955858,0.00010671559,0.0068012853,0.00013354936,0.0001240751,0.000010609865,0.41774496,0.40897816,0.0012397388,0.0010714701,0.15996845,0.001225385],"about_ca_topic_score_codex":0.00016268082,"about_ca_topic_score_gemma":0.0000026053117,"teacher_disagreement_score":0.4986092,"about_ca_system_score_codex":0.00013813848,"about_ca_system_score_gemma":0.0003324414,"threshold_uncertainty_score":0.8111265},"labels":[],"label_agreement":null},{"id":"W3167803807","doi":"10.1016/j.scs.2021.103074","title":"Mixed fleet based green clustered logistics problem under carbon emission cap","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Benchmark (surveying); Metaheuristic; Particle swarm optimization; Computer science; Vehicle routing problem; Mathematical optimization; Operations research; Engineering; Algorithm; Mathematics; Routing (electronic design automation)","score_opus":0.017666043508759385,"score_gpt":0.2346691047409842,"score_spread":0.21700306123222482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167803807","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":[0.20140176,0.0031434547,0.76707643,0.0018896861,0.00045099662,0.0006322823,0.000033699576,0.0011120819,0.024259618],"genre_scores_gemma":[0.8881701,0.00023404475,0.090288855,0.00033799635,0.00014358346,0.000026248283,0.00007353489,0.00008578972,0.020639831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989545,0.00008175093,0.00019998684,0.0002059546,0.00014732736,0.00041051666],"domain_scores_gemma":[0.99937505,0.000102605656,0.00003213485,0.00019819639,0.00019489702,0.00009711972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031734968,0.00016646445,0.00020120069,0.000022360462,0.00020360634,0.00009602262,0.00006821107,0.0001767162,0.00003163402],"category_scores_gemma":[0.00004724532,0.00017538728,0.000081187936,0.00022932197,0.000073752344,0.00006873237,0.00008445536,0.00018671708,2.2269693e-7],"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":[0.000007997534,0.00002832456,0.0008102683,0.0028007985,0.0001066385,0.00004605532,0.004477593,0.9779791,0.00050280185,0.0064034974,0.0053296373,0.0015072399],"study_design_scores_gemma":[0.0005642786,0.000017797123,0.00024724883,0.000040750194,0.00003363626,0.000004778766,0.04304912,0.94863236,0.001358415,0.0025246488,0.0032582504,0.00026873747],"about_ca_topic_score_codex":0.00012220426,"about_ca_topic_score_gemma":0.0000070640212,"teacher_disagreement_score":0.68676835,"about_ca_system_score_codex":0.00019372671,"about_ca_system_score_gemma":0.0001434554,"threshold_uncertainty_score":0.7152086},"labels":[],"label_agreement":null},{"id":"W3177722901","doi":"10.1016/j.scs.2021.103131","title":"Potential contribution of environmental building certifications to urban sustainability - Curitiba case study","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Curitiba; Sustainability; Certification; Energy consumption; Work (physics); Business; Environmental economics; Consumption (sociology); Water efficiency; Resource (disambiguation); Natural resource economics; Environmental resource management; Environmental planning; Environmental science; Engineering; Economics","score_opus":0.005218895780570141,"score_gpt":0.23157367241478768,"score_spread":0.22635477663421755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177722901","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":[0.9832897,0.0010855284,0.014453579,0.00014724581,0.000084160776,0.00072922517,0.00002916203,0.00010667893,0.00007471325],"genre_scores_gemma":[0.998201,0.000078571895,0.0004767477,0.00003344678,0.00006529808,0.0001014224,0.000015510152,0.00002608825,0.0010018923],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9985777,0.000073360636,0.0003202051,0.00030403008,0.00019912141,0.00052556704],"domain_scores_gemma":[0.9991679,0.000065234446,0.00003725342,0.0002891027,0.00029614032,0.00014437239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037097532,0.00019116054,0.00026607464,0.000053536627,0.00043847205,0.00011497101,0.0000803843,0.00008487175,0.000046217752],"category_scores_gemma":[0.00006495109,0.00021812065,0.00012759201,0.00028270928,0.00010418784,0.00020415007,0.00014852027,0.00015730168,2.9765974e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022260494,0.0071909055,0.103867844,0.011922053,0.0037124513,0.034307934,0.34724727,0.15705118,0.06471704,0.21022847,0.036852844,0.022679422],"study_design_scores_gemma":[0.0007951686,0.0001483413,0.0042352118,0.000013736333,0.00010668528,0.00019740527,0.97915137,0.005495435,0.002517409,0.0024705252,0.004521115,0.0003475983],"about_ca_topic_score_codex":0.00020260643,"about_ca_topic_score_gemma":0.0000037301577,"teacher_disagreement_score":0.6319041,"about_ca_system_score_codex":0.00073286396,"about_ca_system_score_gemma":0.00016401963,"threshold_uncertainty_score":0.8894702},"labels":[],"label_agreement":null},{"id":"W3181503659","doi":"10.1016/j.scs.2021.103144","title":"The impacts of the built environment on the incidence rate of COVID-19: A case study of King County, Washington","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dairy Farmers of Canada; Natural Science Foundation of Shanghai","keywords":"Built environment; Socioeconomic status; Geography; Incidence (geometry); Regression analysis; Coronavirus disease 2019 (COVID-19); Environmental health; Demography; Statistics; Engineering; Mathematics; Medicine; Civil engineering; Population; Infectious disease (medical specialty); Sociology","score_opus":0.09438414619793196,"score_gpt":0.3633782567678647,"score_spread":0.2689941105699328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181503659","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":[0.99372345,0.0009050232,0.00009424294,0.0045537855,0.000023654091,0.0005808833,0.000012973685,0.000008405128,0.000097588876],"genre_scores_gemma":[0.99724823,0.00110598,0.000041198182,0.001070374,0.000016025373,0.000036782403,2.186545e-7,0.0000085060465,0.00047270604],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9981838,0.00059798796,0.00044197467,0.00019412137,0.0002807963,0.00030135832],"domain_scores_gemma":[0.9882035,0.010667144,0.00041284613,0.00050878304,0.00015839067,0.00004928614],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0035249388,0.0001487527,0.00037171127,0.000007033517,0.0009763689,0.000029024592,0.00024583886,0.00006103937,0.000018890276],"category_scores_gemma":[0.0092467675,0.00006704295,0.00018342248,0.00016675818,0.0006970017,0.000042006683,0.00082589634,0.00020845064,5.5838463e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017767216,0.0013185863,0.118797235,0.0069698105,0.0014363524,0.00047667965,0.44758147,0.003237388,0.00056509994,0.40248752,0.01658847,0.00036372535],"study_design_scores_gemma":[0.0003916443,0.00021487415,0.005066362,0.00005374266,0.00009369099,0.000015212109,0.89238477,0.00024044736,0.00040928452,0.09910821,0.0019270983,0.000094682364],"about_ca_topic_score_codex":0.008308201,"about_ca_topic_score_gemma":0.00050090114,"teacher_disagreement_score":0.4448033,"about_ca_system_score_codex":0.00025704235,"about_ca_system_score_gemma":0.0002292896,"threshold_uncertainty_score":0.9990988},"labels":[],"label_agreement":null},{"id":"W3183584850","doi":"10.1016/j.scs.2021.103198","title":"Development of an HTR-Type nuclear and bifacial PV solar based integrated system to meet the needs of energy, food and fuel for sustainable indigenous cities","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Photovoltaic system; Renewable energy; Environmental science; Sustainability; Greenhouse gas; Exergy; Fossil fuel; Indigenous; Environmental engineering; Waste management; Electrification; Electricity; Engineering; Ecology","score_opus":0.004780471398775692,"score_gpt":0.18676941563303417,"score_spread":0.1819889442342585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183584850","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":[0.9860476,0.0026638357,0.010270707,0.000021127467,0.00006134899,0.00024248737,0.000025549374,0.000057917667,0.0006094147],"genre_scores_gemma":[0.99800086,0.00009046583,0.0009423629,0.000040373125,0.000030501895,0.00002467222,0.000016446656,0.000029357361,0.00082497555],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.999062,0.000029085184,0.00028469242,0.00013472792,0.00011392654,0.0003755722],"domain_scores_gemma":[0.99926823,0.000045179884,0.000050780738,0.00014056748,0.0004092077,0.000086044274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030661415,0.00017293195,0.0003462046,0.00006121263,0.0003630802,0.000091082664,0.00009396789,0.000111440255,0.0000037993475],"category_scores_gemma":[0.000015846648,0.00014131259,0.000072320276,0.00023797707,0.000116033705,0.00009893974,0.000070131086,0.000055582652,2.8423912e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035794545,0.00011955606,0.0004264119,0.032076385,0.0017850964,0.000026488517,0.4884651,0.009355624,0.0021674538,0.46007252,0.0017259114,0.0034215022],"study_design_scores_gemma":[0.00043020732,0.00018976297,0.00009686486,0.00007954854,0.000070324044,0.0000055494215,0.9708273,0.01900926,0.0007571845,0.00065046776,0.0076742056,0.0002093653],"about_ca_topic_score_codex":0.00032094863,"about_ca_topic_score_gemma":0.000044265602,"teacher_disagreement_score":0.48236215,"about_ca_system_score_codex":0.000095568896,"about_ca_system_score_gemma":0.00023332123,"threshold_uncertainty_score":0.576256},"labels":[],"label_agreement":null},{"id":"W3184004548","doi":"10.1016/j.scs.2021.103200","title":"Political and community logics jointly affect ‘social distancing’ compliance","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Community Health and Development","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China; Research Grants Council, University Grants Committee; Carleton University; City University of Hong Kong","keywords":"Ideology; Reciprocity (cultural anthropology); Distancing; Politics; Social distance; Compliance (psychology); Political science; Public relations; Public health; Social psychology; Sociology; Medicine; Psychology; Coronavirus disease 2019 (COVID-19); Law; Nursing","score_opus":0.11510988481194194,"score_gpt":0.4223060344179918,"score_spread":0.30719614960604985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184004548","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":[0.94270235,0.0013293074,0.0003703171,0.007899023,0.00015927394,0.0004991724,0.00003848547,0.000107383086,0.04689468],"genre_scores_gemma":[0.97830343,0.0003522936,0.0006022162,0.00940104,0.00013381495,0.000051931416,0.00004615253,0.000016020927,0.01109312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.997077,0.0012524159,0.00030647538,0.00016160803,0.00015668343,0.0010458506],"domain_scores_gemma":[0.9976767,0.0013068079,0.000073542884,0.00023655331,0.00041977048,0.00028666045],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001359492,0.00015958787,0.00034104494,0.000016233002,0.008853659,0.000048686936,0.00009613237,0.00020995497,0.000086473374],"category_scores_gemma":[0.00040759624,0.00015468617,0.00007154011,0.00016542397,0.0003454219,0.0000989789,0.00069524336,0.0016856071,0.0000032203352],"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":[0.00003335016,0.00009839765,0.019442728,0.0071687214,0.00003731289,0.000024650919,0.08254487,1.0620662e-7,0.0000057033253,0.86611044,0.023773437,0.0007602698],"study_design_scores_gemma":[0.00070827146,0.00006924854,0.091535054,0.000108906366,0.000012335043,0.0000055752453,0.8151364,0.000039182265,0.000003845468,0.049416643,0.042788934,0.00017560854],"about_ca_topic_score_codex":0.0017809699,"about_ca_topic_score_gemma":0.00027453402,"teacher_disagreement_score":0.8166938,"about_ca_system_score_codex":0.00045992184,"about_ca_system_score_gemma":0.00090717344,"threshold_uncertainty_score":0.9924367},"labels":[],"label_agreement":null},{"id":"W3187662514","doi":"10.1016/j.scs.2021.103228","title":"Urban morphology detection and it's linking with land surface temperature: A case study for Tehran Metropolis, Iran","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Land cover; Remote sensing; Arid; Urban heat island; Environmental science; Land use; Physical geography; Urban morphology; Geography; Urban climate; Cover (algebra); Meteorology; Urbanization; Urban planning; Geology; Ecology","score_opus":0.008033132564637795,"score_gpt":0.2200792372149418,"score_spread":0.212046104650304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187662514","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":[0.99842376,0.00032916342,0.0003288909,0.0001950897,0.000031206964,0.0004684746,0.000008243878,0.000025321442,0.00018986552],"genre_scores_gemma":[0.9950694,0.000069998176,0.00058631867,0.00018713312,0.000047664118,0.000034625686,0.000009250699,0.000015077443,0.0039805425],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99912685,0.00005404945,0.000107892214,0.0003057689,0.00010546821,0.00029995106],"domain_scores_gemma":[0.9996712,0.00007192037,0.000033385433,0.00011643378,0.000040494102,0.00006656809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021644915,0.00012477733,0.00015335642,0.000009553301,0.00065854716,0.00011728982,0.000029679251,0.0000868271,0.00003968714],"category_scores_gemma":[0.000016947417,0.000104731575,0.000036405923,0.00016196491,0.00017926711,0.00019687126,0.000080258484,0.00012135704,3.1416783e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013218871,0.00027693436,0.8534224,0.0006475346,0.00025049484,0.0022854614,0.12003466,0.0004413355,0.010247381,0.0003693195,0.010906843,0.0009854392],"study_design_scores_gemma":[0.0029304195,0.00087115366,0.019955019,0.000017553626,0.00015735398,0.0013988218,0.9643653,0.0011727803,0.0023465632,0.00038595585,0.0059971423,0.00040191287],"about_ca_topic_score_codex":0.0030200786,"about_ca_topic_score_gemma":0.0012607361,"teacher_disagreement_score":0.84433067,"about_ca_system_score_codex":0.00014107741,"about_ca_system_score_gemma":0.000024746805,"threshold_uncertainty_score":0.5065079},"labels":[],"label_agreement":null},{"id":"W3189596501","doi":"10.1016/j.scs.2021.103226","title":"Removal of SARS-CoV-2 using UV+Filter in built environment","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Aerosolization; Aerosol; Filtration (mathematics); Filter (signal processing); Environmental science; Ultraviolet; Air filter; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Bioaerosol; Electrostatic precipitator; HEPA; Materials science; Process engineering; Coronavirus disease 2019 (COVID-19); Pulp and paper industry; Waste management; Computer science; Meteorology; Optoelectronics; Engineering; Physics; Mechanical engineering; Medicine","score_opus":0.02499505442242365,"score_gpt":0.278393715968898,"score_spread":0.25339866154647434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189596501","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":[0.9939909,0.0007690166,0.0024829963,0.00021656178,0.000037690435,0.00011128555,0.0000016338762,0.000007262829,0.002382627],"genre_scores_gemma":[0.9935974,0.00021938521,0.00083648885,0.00034285727,0.00006376688,0.000003199011,0.0000072730504,0.000006747425,0.0049229],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.99946195,0.000019631534,0.00014647747,0.000112453716,0.000095405936,0.00016409489],"domain_scores_gemma":[0.99977064,0.000014742483,0.000037806865,0.000086621534,0.00007372969,0.000016457398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015085666,0.00006112107,0.00015907614,0.000021486789,0.00006755832,0.000011917591,0.000010692303,0.000063254956,0.0000523145],"category_scores_gemma":[0.000017672726,0.00005887074,0.0000950984,0.00007493974,0.000060357655,0.00007043096,0.000037053698,0.000078691824,3.9183408e-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":[0.0008749447,0.0017052533,0.33740196,0.011733054,0.0011369676,0.004240974,0.0646941,0.0023607083,0.47074184,0.07831016,0.0084837945,0.018316224],"study_design_scores_gemma":[0.014453796,0.0006029863,0.25321776,0.00051450956,0.0005124751,0.0015409369,0.2998528,0.080111824,0.13565427,0.011204874,0.20142236,0.0009114062],"about_ca_topic_score_codex":0.0002915383,"about_ca_topic_score_gemma":0.000003861849,"teacher_disagreement_score":0.33508757,"about_ca_system_score_codex":0.00011409848,"about_ca_system_score_gemma":0.00008897755,"threshold_uncertainty_score":0.24006791},"labels":[],"label_agreement":null},{"id":"W3195614574","doi":"10.1016/j.scs.2021.103256","title":"Optimal control of high-rise building mechanical ventilation system for achieving low risk of COVID-19 transmission and ventilative cooling","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Ventilation (architecture); Mechanical ventilation; Energy consumption; Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Environmental science; Automotive engineering; Simulation; Computer science; Engineering; Mechanical engineering; Medicine; Electrical engineering; Telecommunications; Anesthesia","score_opus":0.007520282124947578,"score_gpt":0.25812857867590067,"score_spread":0.25060829655095307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195614574","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":[0.49528706,0.0007711646,0.50344795,0.00007892683,0.000039080373,0.00032661407,0.000022352315,0.00001599853,0.0000108732165],"genre_scores_gemma":[0.99596715,0.00024006644,0.0034064692,0.00003387581,0.00007293799,0.000022709943,0.000022029051,0.000011998825,0.00022277812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990913,0.00007077574,0.00032373378,0.00018993423,0.00013874604,0.00018550742],"domain_scores_gemma":[0.9989031,0.00023781108,0.00022571122,0.00007867006,0.0004560935,0.000098597586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006603574,0.00010334699,0.00038144444,0.000039611292,0.0003085123,0.000021264423,0.00001751622,0.00012115277,0.000011561492],"category_scores_gemma":[0.0001986673,0.00009693125,0.00020269587,0.00010817343,0.00007354597,0.00011525133,0.000020577982,0.000105443374,2.0988699e-8],"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":[0.023019051,0.0012616286,0.06790139,0.16866215,0.005628095,0.00014161011,0.06250877,0.092867345,0.14675239,0.39883193,0.00072134205,0.031704288],"study_design_scores_gemma":[0.024686206,0.0013880121,0.02921319,0.0016202397,0.0028465746,0.00009183779,0.17895451,0.7054867,0.049176764,0.0024215048,0.0036098103,0.00050465605],"about_ca_topic_score_codex":0.00009990519,"about_ca_topic_score_gemma":6.754323e-7,"teacher_disagreement_score":0.61261934,"about_ca_system_score_codex":0.00011623854,"about_ca_system_score_gemma":0.00020037575,"threshold_uncertainty_score":0.3952742},"labels":[],"label_agreement":null},{"id":"W3196397307","doi":"10.1016/j.scs.2021.103339","title":"The use of a recurrent neural network model with separated time-series and lagged daily inputs for waste disposal rates modeling during COVID-19","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lag; Distributed lag; Autoregressive integrated moving average; Coronavirus disease 2019 (COVID-19); Statistics; Time series; Econometrics; Artificial neural network; Series (stratigraphy); Environmental science; Mathematics; Computer science; Artificial intelligence","score_opus":0.02940880590286667,"score_gpt":0.27400198070171333,"score_spread":0.24459317479884665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196397307","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":[0.9916491,0.0015714803,0.002089448,0.0040681604,0.00001812938,0.00053413917,0.000017233408,0.00001933539,0.000033000022],"genre_scores_gemma":[0.9774781,0.004205527,0.0018841834,0.0012470105,0.00007405746,0.000079085694,0.000073582254,0.000027549791,0.01493094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905455,0.00003626258,0.00019396485,0.00020936703,0.000126386,0.00037944372],"domain_scores_gemma":[0.9994981,0.00007609929,0.000052637963,0.00014096683,0.00009290144,0.00013926995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019071224,0.0001311559,0.00022751941,0.000009371957,0.0006799276,0.00007854797,0.000028531733,0.00004934454,0.0000023071436],"category_scores_gemma":[0.00003927897,0.00009137585,0.00005521767,0.00010243524,0.00016397856,0.00015485456,0.00013464243,0.000100120225,5.0486594e-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":[0.002080542,0.00007294382,0.0035776626,0.0059985793,0.00038555538,0.00006127299,0.012846348,0.9642345,0.0001553428,0.00227186,0.007175501,0.0011398952],"study_design_scores_gemma":[0.0013909315,0.00029399118,0.00020211792,0.0000855092,0.00009801631,0.000015786558,0.06973113,0.9234521,0.00008251504,0.0003516808,0.0041571464,0.00013911618],"about_ca_topic_score_codex":0.000079334844,"about_ca_topic_score_gemma":0.000018003246,"teacher_disagreement_score":0.056884784,"about_ca_system_score_codex":0.000108466746,"about_ca_system_score_gemma":0.00017267551,"threshold_uncertainty_score":0.5229522},"labels":[],"label_agreement":null},{"id":"W3199380764","doi":"10.1016/j.scs.2021.103354","title":"A Secure and reliable RFID authentication protocol using digital schnorr cryptosystem for IoT-enabled healthcare in COVID-19 scenario","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Authentication (law); Computer science; Computer security; Protocol (science); Authentication protocol; Internet of Things; Cryptosystem; Cryptography; Computer network; Medicine","score_opus":0.02067195437827242,"score_gpt":0.3197503665382985,"score_spread":0.2990784121600261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199380764","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":[0.02567746,0.00039040876,0.8322157,0.00541099,0.00006224709,0.13586108,0.000033192464,0.00025042018,0.0000984597],"genre_scores_gemma":[0.6478276,0.000038660113,0.10219506,0.0018970884,0.000115018716,0.24473432,0.0000407823,0.000063854684,0.0030875686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807334,0.00006451407,0.00039633075,0.0006396644,0.00022561147,0.0006005628],"domain_scores_gemma":[0.9984826,0.0001225171,0.00018436603,0.00043400878,0.0005523841,0.00022411198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000533134,0.00020183067,0.00028530488,0.000061209656,0.00073215953,0.0008721135,0.00024056793,0.00015810605,0.0000052189616],"category_scores_gemma":[0.00028467985,0.00020941724,0.000084501924,0.0005419892,0.00013305889,0.001134549,0.0004264492,0.0001950912,3.7357233e-7],"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":[0.000039489547,0.0001115233,0.002817104,0.009621125,0.00002413128,0.000022531303,0.030978879,0.00029492707,0.00008547944,0.9548398,0.00019954988,0.00096543133],"study_design_scores_gemma":[0.003915014,0.00016153963,0.00028739078,0.00037336274,0.000012829386,0.000063542066,0.11822264,0.19858122,0.00041110866,0.6453694,0.03201074,0.0005911886],"about_ca_topic_score_codex":0.00011522844,"about_ca_topic_score_gemma":0.000020984477,"teacher_disagreement_score":0.73002064,"about_ca_system_score_codex":0.0005890722,"about_ca_system_score_gemma":0.0015645104,"threshold_uncertainty_score":0.8539787},"labels":[],"label_agreement":null},{"id":"W4200555035","doi":"10.1016/j.scs.2021.103654","title":"A Round Robin Test on the dynamic simulation and the LEED protocol evaluation of a green building","year":2021,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Certification; Sustainability; Protocol (science); Energy consumption; Work (physics); Architectural engineering; Test (biology); Environmental impact assessment; Computer science; Life-cycle assessment; Production (economics); Environmental economics; Engineering; Mechanical engineering; Ecology","score_opus":0.01576178881983974,"score_gpt":0.2865252148560292,"score_spread":0.27076342603618947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200555035","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":[0.937508,0.0010654399,0.013364233,0.0020461823,0.00007803453,0.04282584,0.000009231401,0.00016407008,0.0029390054],"genre_scores_gemma":[0.9916574,0.000027526892,0.0001347952,0.00008428318,0.00003110091,0.006743789,0.0000024654232,0.000017475659,0.0013011834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905884,0.00011909706,0.00017212139,0.00014055673,0.0002749001,0.00023450083],"domain_scores_gemma":[0.9987419,0.0006657597,0.000048861104,0.00016926146,0.00035048916,0.000023715991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001379904,0.00012593548,0.00015196943,0.000020380063,0.00033615314,0.00014122833,0.000064667925,0.000059818864,0.000016928023],"category_scores_gemma":[0.00018248928,0.00008127908,0.000069318914,0.00019933515,0.00014827272,0.00011937048,0.00006046187,0.00014032217,9.106148e-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":[0.000074297706,0.00007967929,0.00034379738,0.0026549185,0.0003052533,0.000009376198,0.019113915,0.744257,0.001192777,0.2216447,0.0009560722,0.009368249],"study_design_scores_gemma":[0.0014700275,0.000037170044,0.00059870427,0.00005174708,0.000060401337,0.0000021268856,0.08105882,0.888994,0.00031612007,0.02609034,0.0012126095,0.00010795617],"about_ca_topic_score_codex":0.00009817815,"about_ca_topic_score_gemma":0.000003495597,"teacher_disagreement_score":0.19555436,"about_ca_system_score_codex":0.00024297745,"about_ca_system_score_gemma":0.00014021744,"threshold_uncertainty_score":0.33144647},"labels":[],"label_agreement":null},{"id":"W4205383237","doi":"10.1016/j.scs.2022.103668","title":"Wildfire-resilient mechanical ventilation systems for single-detached homes in cities of Western Canada","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Indoor air quality; Ventilation (architecture); Environmental science; Work (physics); Mechanical ventilation; Air quality index; Architectural engineering; Environmental engineering; Engineering; Meteorology; Geography; Medicine","score_opus":0.007450364734630971,"score_gpt":0.19532280124816398,"score_spread":0.187872436513533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205383237","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":[0.9977843,0.0009246895,0.00007813061,0.00027994553,0.000120070166,0.00032344522,0.000030043586,0.000010197746,0.00044916378],"genre_scores_gemma":[0.9951493,0.000059156737,0.000030721683,0.000082077895,0.000022856764,0.000103142644,0.000009115712,0.000008115105,0.004535487],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99908084,0.000035300847,0.00018661177,0.00016895482,0.00024200272,0.00028630992],"domain_scores_gemma":[0.99975634,0.000059111997,0.00006698492,0.00007707875,0.000010038997,0.00003044166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002588746,0.00009082713,0.00018525758,0.000011561782,0.00038055502,0.000022004238,0.00008285349,0.000024752446,0.000030732288],"category_scores_gemma":[0.000010675533,0.00008865196,0.000058337,0.00010801365,0.000126427,0.00008765496,0.00024797564,0.00006651655,6.712206e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004198098,0.00077321,0.67599547,0.004636331,0.00039660855,0.00008803654,0.092208624,0.08313116,0.003769867,0.025655087,0.10880342,0.0041223653],"study_design_scores_gemma":[0.0012030066,0.0003637409,0.054217752,0.000035029327,0.000035450288,0.0000059382623,0.86135453,0.005526942,0.0004926175,0.0018826246,0.074488945,0.00039344662],"about_ca_topic_score_codex":0.15144977,"about_ca_topic_score_gemma":0.011784653,"teacher_disagreement_score":0.76914585,"about_ca_system_score_codex":0.00054149504,"about_ca_system_score_gemma":0.00005876081,"threshold_uncertainty_score":0.8542008},"labels":[],"label_agreement":null},{"id":"W4214906733","doi":"10.1016/j.scs.2022.103810","title":"A real-time web tool for monitoring and mitigating indoor airborne COVID-19 transmission risks at city scale","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infection Control and Ventilation","field":"Medicine","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Colorado Boulder","keywords":"Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Scale (ratio); Computer science; Airborne transmission; Risk analysis (engineering); Environmental science; Business; Telecommunications; Geography; Infectious disease (medical specialty); Medicine","score_opus":0.016999219990571357,"score_gpt":0.2895434404367386,"score_spread":0.2725442204461672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214906733","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":[0.9958731,0.0003279438,0.0014368247,0.001008972,0.000058009824,0.00071242254,0.000028533754,0.000084823856,0.00046938306],"genre_scores_gemma":[0.9830676,0.00029386164,0.0007137026,0.00024855736,0.00018707354,0.00019574344,0.000037322985,0.00001626101,0.0152398925],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9991033,0.00004306248,0.00017819776,0.00022091273,0.00016196683,0.00029255208],"domain_scores_gemma":[0.9994679,0.00013828815,0.00007015169,0.0000786663,0.00010678355,0.00013819413],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005896549,0.00011072614,0.00020938317,0.000032043572,0.0018078781,0.00004031864,0.00002293936,0.00007067559,0.00016520006],"category_scores_gemma":[0.00006143898,0.00010793535,0.00013632594,0.00010603998,0.0000770322,0.00010459443,0.00007669607,0.0001482011,1.6627044e-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":[0.0034390378,0.00041744648,0.79449797,0.012629845,0.0006050292,0.000077146964,0.08974166,0.000906684,0.037445776,0.0033408978,0.028125403,0.02877313],"study_design_scores_gemma":[0.025428634,0.0022630612,0.27173954,0.00019405906,0.0007698725,0.00022641038,0.3058229,0.117787324,0.003682835,0.0047489447,0.26618287,0.001153544],"about_ca_topic_score_codex":0.00034638168,"about_ca_topic_score_gemma":7.8733484e-7,"teacher_disagreement_score":0.5227584,"about_ca_system_score_codex":0.0004449395,"about_ca_system_score_gemma":0.0002046329,"threshold_uncertainty_score":0.99949163},"labels":[],"label_agreement":null},{"id":"W4220673689","doi":"10.1016/j.scs.2022.103855","title":"Sustainability-oriented maintenance management of highway bridge networks based on Q-learning","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Bridge (graph theory); Sustainability; Bridge maintenance; Transport engineering; Computer science; Asset management; Engineering; Environmental economics; Business; Economics","score_opus":0.002518141150455459,"score_gpt":0.1843289332393781,"score_spread":0.18181079208892265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220673689","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":[0.8286614,0.0013140799,0.1324776,0.00056032586,0.0018303106,0.0018487938,0.000037035497,0.0010520327,0.03221844],"genre_scores_gemma":[0.99546224,0.00015026215,0.0003649091,0.00010344032,0.00006870101,0.00011041655,0.00001587312,0.000034431534,0.0036897042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987032,0.000039692877,0.00020777118,0.00021593062,0.0002223349,0.00061106076],"domain_scores_gemma":[0.99950093,0.000048604154,0.000048852537,0.00020091659,0.0001468333,0.00005386394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003812665,0.00018004488,0.00021039882,0.00004587343,0.000536641,0.000028871435,0.00012025077,0.00004916281,0.00003606961],"category_scores_gemma":[0.000011738442,0.00018579251,0.00012873585,0.0002967925,0.00010261136,0.00007701362,0.00016910427,0.00042148374,9.47647e-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":[0.000037949732,0.00001761654,0.0011664369,0.001331496,0.00007030673,0.00005121389,0.0020277593,0.94350654,0.0000036193958,0.041785005,0.0077853934,0.0022166395],"study_design_scores_gemma":[0.0014963157,0.00033049472,0.015142584,0.00009475067,0.000051205418,0.0000050874696,0.31399828,0.4757088,0.00007338703,0.0023087345,0.19024402,0.000546329],"about_ca_topic_score_codex":0.000050678336,"about_ca_topic_score_gemma":2.1433769e-7,"teacher_disagreement_score":0.46779776,"about_ca_system_score_codex":0.0006285984,"about_ca_system_score_gemma":0.000035093733,"threshold_uncertainty_score":0.7576399},"labels":[],"label_agreement":null},{"id":"W4220677750","doi":"10.1016/j.scs.2022.103840","title":"Dynamics of SARS-CoV-2 spreading under the influence of environmental factors and strategies to tackle the pandemic: A systematic review","year":2022,"lang":"en","type":"review","venue":"Sustainable Cities and Society","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université du Québec à Montréal; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; McGill University; Western University; Concordia University","funders":"","keywords":"Multidisciplinary approach; Coronavirus disease 2019 (COVID-19); Pandemic; Transmission (telecommunications); Risk analysis (engineering); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Airborne transmission; Environmental planning; Computer science; Air quality index; Environmental monitoring; Environmental resource management; Environmental science; Business; Geography; Disease; Meteorology; Environmental engineering; Infectious disease (medical specialty); Medicine; Telecommunications","score_opus":0.14103048110208183,"score_gpt":0.3964857379071472,"score_spread":0.25545525680506537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220677750","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":[0.0076176026,0.98927927,0.000077856595,0.00015719229,0.000012457951,0.0026530672,0.00011861656,0.000018392795,0.000065567394],"genre_scores_gemma":[0.0046572085,0.99428874,0.00003966033,0.00038816113,0.000008068988,0.0003243069,0.00000938466,0.000023855777,0.00026059375],"study_design_codex":"systematic_review","study_design_gemma":"qualitative","domain_scores_codex":[0.9975802,0.0005422556,0.0009620737,0.0002892688,0.00028071372,0.00034554175],"domain_scores_gemma":[0.9915126,0.007210502,0.00077729643,0.00043354524,0.000037559254,0.000028523084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070537,0.000384588,0.0024930343,0.000021429702,0.00047250526,0.00004182705,0.00040268467,0.00013054856,0.000012022984],"category_scores_gemma":[0.00120701,0.00017686086,0.0005304689,0.00021463654,0.0006170295,0.000080681144,0.00096457824,0.0003734513,1.3125863e-7],"study_design_candidate":"systematic_review","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":[8.3379626e-7,0.000015083016,0.000048533915,0.9446493,0.00043963615,8.2712035e-7,0.0035308157,0.000007035361,2.6463985e-7,0.050689474,0.0002619013,0.0003563364],"study_design_scores_gemma":[0.00013811106,0.00019572,0.00011463858,0.13811669,0.0056961,0.000022723649,0.6926289,0.00003727452,3.8988455e-7,0.08910175,0.07320782,0.00073984277],"about_ca_topic_score_codex":0.00025569263,"about_ca_topic_score_gemma":0.000018704062,"teacher_disagreement_score":0.80653256,"about_ca_system_score_codex":0.0004534546,"about_ca_system_score_gemma":0.00013787753,"threshold_uncertainty_score":0.72121763},"labels":[],"label_agreement":null},{"id":"W4220761566","doi":"10.1016/j.scs.2022.103832","title":"How residential energy consumption has changed due to COVID-19 pandemic? An agent-based model","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermostat; Energy consumption; Pandemic; Coronavirus disease 2019 (COVID-19); Consumption (sociology); Energy (signal processing); Agent-based model; Environmental economics; Efficient energy use; Environmental science; Computer science; Simulation; Architectural engineering; Engineering; Statistics; Artificial intelligence; Medicine; Economics; Mathematics; Mechanical engineering","score_opus":0.03319584358084319,"score_gpt":0.23358738071561197,"score_spread":0.2003915371347688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220761566","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":[0.2073941,0.00061272614,0.7898604,0.0010382433,0.00020945916,0.00017993643,0.000041521784,0.0005368267,0.00012675363],"genre_scores_gemma":[0.9931979,0.00014956047,0.0010442401,0.0014066949,0.000069921036,0.00019180581,0.00013286168,0.000030634146,0.0037763796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992031,0.00004018371,0.0000956112,0.00018660462,0.00016654482,0.0003079823],"domain_scores_gemma":[0.99962056,0.000021463806,0.00002355151,0.00014504911,0.000039105944,0.00015029073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002090282,0.00012428986,0.0001324686,0.000054805987,0.0009061209,0.00017846329,0.000099865545,0.000072639246,0.00006317055],"category_scores_gemma":[0.0000104027185,0.00014755664,0.00006231386,0.0001369348,0.000050685627,0.00018339179,0.00008384309,0.00011691292,5.3514732e-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":[0.000018659002,0.000010212726,0.0000896728,0.00014110761,0.00002162347,0.000008547914,0.0025088077,0.9784207,0.00007678596,0.011133412,0.00737448,0.00019604308],"study_design_scores_gemma":[0.00047021726,0.00005077499,0.000024850486,0.0000027643355,0.00001794284,0.000005480208,0.019236246,0.94749576,0.00006924797,0.0015302319,0.030872257,0.00022424407],"about_ca_topic_score_codex":0.00027729667,"about_ca_topic_score_gemma":0.0000827526,"teacher_disagreement_score":0.7888162,"about_ca_system_score_codex":0.00040913522,"about_ca_system_score_gemma":0.00012117867,"threshold_uncertainty_score":0.6969241},"labels":[],"label_agreement":null},{"id":"W4254381132","doi":"10.1016/j.scs.2011.05.004","title":"WITHDRAWN: Cities addressing climate change: Introducing a tripartite model for sustainable partnership","year":2011,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prince Albert Grand Council; Athabasca University","funders":"","keywords":"General partnership; Climate change; Political science; Operations research; Regional science; Engineering; Computer science; Business; Architectural engineering; Sociology; Law; Geology","score_opus":0.08277448706114932,"score_gpt":0.3127774431336284,"score_spread":0.23000295607247906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254381132","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":[0.9229051,0.0037729412,0.0046068337,0.0012500137,0.00017448384,0.002739205,0.00003507933,0.00048340877,0.064032964],"genre_scores_gemma":[0.95406157,0.000492799,0.001273025,0.0004606384,0.00054211565,0.00037967277,0.000015996342,0.00003307579,0.0427411],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99714047,0.00008267632,0.00033182336,0.0005045376,0.0002837765,0.0016567311],"domain_scores_gemma":[0.99867296,0.0000973157,0.00015380047,0.0002528912,0.0006054337,0.00021757493],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020316492,0.00024804886,0.00036807408,0.000059441543,0.0033364156,0.00043682224,0.00024910225,0.0002154671,0.00008663209],"category_scores_gemma":[0.00011234417,0.00024118889,0.00024390752,0.00031059937,0.0009860999,0.0017628635,0.00010944519,0.00020200742,5.9931256e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015189288,0.00007600122,0.021974763,0.0020114733,0.00005089688,0.000015101521,0.5980641,0.00002269582,0.0000023262448,0.37289023,0.00401171,0.00072879356],"study_design_scores_gemma":[0.0007462354,0.00007120663,0.0025088808,0.000063117564,0.00009139059,3.0254265e-7,0.9114061,0.0049508275,0.00004802248,0.06943663,0.010238471,0.00043883882],"about_ca_topic_score_codex":0.0055713053,"about_ca_topic_score_gemma":0.00042210246,"teacher_disagreement_score":0.31334195,"about_ca_system_score_codex":0.0002326931,"about_ca_system_score_gemma":0.00040565335,"threshold_uncertainty_score":0.9979611},"labels":[],"label_agreement":null},{"id":"W4281671717","doi":"10.1016/j.scs.2022.103993","title":"Environmental study on greenery planning scenarios to improve the air quality in urban canyons","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Environmental science; Air quality index; Canyon; Wind speed; Meteorology; Wind direction; Range (aeronautics); Street canyon; Pollutant; Atmospheric sciences; Geography; Engineering; Cartography","score_opus":0.009437560217985544,"score_gpt":0.2321382839281364,"score_spread":0.22270072371015087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281671717","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":[0.9972593,0.000045460907,0.000010405077,0.0006251984,0.000051648163,0.00073672744,0.000027439855,0.000017738617,0.0012260731],"genre_scores_gemma":[0.9911729,0.0000032020903,0.000016307322,0.0014209884,0.00003115297,0.00025361078,0.0000066540847,0.0000113950555,0.0070837634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866307,0.00015768991,0.00016574172,0.0003024748,0.00033216647,0.00037887],"domain_scores_gemma":[0.99960655,0.000079749676,0.000038842096,0.00020852762,0.000002105008,0.00006419743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007225142,0.00012000202,0.00011860799,0.000016485075,0.0009298073,0.00003055192,0.00015401714,0.00002693039,0.00020803997],"category_scores_gemma":[0.000013712111,0.000099134835,0.000051543753,0.00015383372,0.00012327133,0.00010610728,0.0005467616,0.00025067222,0.000004024216],"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":[0.00003950018,0.00023862901,0.8187298,0.000015120423,0.000017802575,0.00002476223,0.15409106,0.00951729,0.00034950432,0.00037932876,0.016111279,0.00048593213],"study_design_scores_gemma":[0.00031471506,0.00025832694,0.53960246,0.0000014538413,0.0000048843413,9.51419e-7,0.45232382,0.00016758435,0.00002060807,0.00018388548,0.0070077702,0.00011354925],"about_ca_topic_score_codex":0.0054912916,"about_ca_topic_score_gemma":0.00011321306,"teacher_disagreement_score":0.29823276,"about_ca_system_score_codex":0.0009511291,"about_ca_system_score_gemma":0.000022171836,"threshold_uncertainty_score":0.8301227},"labels":[],"label_agreement":null},{"id":"W4284960966","doi":"10.1016/j.scs.2022.104045","title":"Can shared micromobility programs reduce greenhouse gas emissions: Evidence from urban transportation big data","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Greenhouse gas; Sustainability; Business; Environmental economics; Natural resource economics; Environmental planning; Environmental science; Economics","score_opus":0.04167017423537557,"score_gpt":0.2472012923825968,"score_spread":0.20553111814722125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284960966","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":[0.9943319,0.0014290666,0.0007917585,0.000699147,0.00017663802,0.000559629,0.0015865382,0.00038203236,0.000043323435],"genre_scores_gemma":[0.99334323,0.00047552175,0.0009265999,0.00011052663,0.00008293352,0.00023763724,0.0038613542,0.000028981902,0.0009332328],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.998744,0.000030587653,0.00031768225,0.00036339415,0.00021667946,0.0003276439],"domain_scores_gemma":[0.9991687,0.00006167178,0.000044789304,0.0005200485,0.00011397222,0.000090841066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030799687,0.00015872667,0.00016762967,0.000030424977,0.0006004678,0.00008550611,0.0002821063,0.00006248582,0.00014964007],"category_scores_gemma":[0.00002236757,0.00017873295,0.00007149169,0.00041165456,0.000110922854,0.0003315838,0.000043771066,0.00027867252,2.8577875e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020736313,0.0010426339,0.097803414,0.0055092466,0.0011042876,0.00013498847,0.55275947,0.013441202,0.013190814,0.007649724,0.23389184,0.07326501],"study_design_scores_gemma":[0.0014445619,0.0002059588,0.11751972,0.00015350377,0.00024235157,0.0000045407696,0.68087417,0.010439653,0.0006382271,0.0036015406,0.18379626,0.0010794906],"about_ca_topic_score_codex":0.0031483702,"about_ca_topic_score_gemma":0.00048475235,"teacher_disagreement_score":0.1281147,"about_ca_system_score_codex":0.00018607372,"about_ca_system_score_gemma":0.0001715985,"threshold_uncertainty_score":0.72885185},"labels":[],"label_agreement":null},{"id":"W4293581656","doi":"10.1016/j.scs.2022.104157","title":"Scaling law reveals unbalanced urban development in China","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; East China Normal University; Sun Yat-sen University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"China; Scaling law; Scaling; Development (topology); Economic geography; Political science; Geography; Law; Mathematics; Geometry","score_opus":0.01019376695345444,"score_gpt":0.18470798529214594,"score_spread":0.1745142183386915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293581656","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":[0.97079694,0.0025621373,0.00028852213,0.0011799199,0.00007830943,0.00016803567,0.00003203807,0.000019051035,0.024875024],"genre_scores_gemma":[0.9875596,0.00033417536,0.00035920698,0.0008158017,0.00004325833,0.000082343955,0.000028297787,0.000014621728,0.01076268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987963,0.000014324689,0.0004471301,0.00032427983,0.000038729067,0.000379241],"domain_scores_gemma":[0.99960446,0.000027399952,0.00015744865,0.00013382548,0.000019423102,0.00005744036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075699494,0.00012012318,0.00035246546,0.00007544447,0.0006957807,0.000093632225,0.00014117082,0.000044116543,0.00024591273],"category_scores_gemma":[0.000013082983,0.00014835253,0.00013603334,0.00021896687,0.000073826326,0.00014327899,0.00022620367,0.00017233838,0.000004043447],"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":[0.0000063937987,0.000029915609,0.022245241,0.000059853068,0.000048925922,0.0000057858383,0.006993646,0.0014022293,9.358563e-7,0.96777016,0.0013079504,0.00012898394],"study_design_scores_gemma":[0.0010922914,0.000060141065,0.04485619,0.000010869224,0.000007067624,0.000004090585,0.047919434,0.012948551,0.000008727463,0.31827277,0.5741705,0.000649375],"about_ca_topic_score_codex":0.0036135297,"about_ca_topic_score_gemma":0.000045939003,"teacher_disagreement_score":0.6494974,"about_ca_system_score_codex":0.00043886452,"about_ca_system_score_gemma":0.000043290987,"threshold_uncertainty_score":0.604964},"labels":[],"label_agreement":null},{"id":"W4294486741","doi":"10.1016/j.scs.2022.104154","title":"Sustainable city concept based on green hydrogen energy","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Architectural engineering; Environmental science; Environmental economics; Engineering; Economics","score_opus":0.006592940990687357,"score_gpt":0.19866605712714397,"score_spread":0.1920731161364566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294486741","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":[0.6468776,0.0051678526,0.0020028162,0.0042697303,0.0008326889,0.0012842738,0.00017927006,0.0014645385,0.33792123],"genre_scores_gemma":[0.68167645,0.00003060544,0.000032747732,0.002332082,0.00022733933,0.00028911943,0.00009457011,0.00006491895,0.31525216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964329,0.00036633553,0.00039849782,0.0006728839,0.000704381,0.0014250291],"domain_scores_gemma":[0.9985286,0.00019048447,0.00016794332,0.00061084505,0.00025083034,0.00025130174],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007545846,0.000406647,0.0004965121,0.00012448711,0.0023547097,0.00014017308,0.000420538,0.00014501691,0.0012270286],"category_scores_gemma":[0.00003930594,0.00042356527,0.00035952206,0.0006389237,0.00029908543,0.00023986392,0.0005855303,0.00034460763,0.000001865561],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009980786,0.00017284155,0.00036543972,0.00038593277,0.00021335918,0.0005210605,0.00587597,0.31381172,0.00004530953,0.62520117,0.052062742,0.0012446322],"study_design_scores_gemma":[0.0011949824,0.00031131023,0.000041895673,0.000008703119,0.000030723517,0.00001708863,0.16572326,0.02952295,0.0007401965,0.0074924952,0.79438645,0.0005299235],"about_ca_topic_score_codex":0.12573664,"about_ca_topic_score_gemma":0.00013462818,"teacher_disagreement_score":0.7423237,"about_ca_system_score_codex":0.0012162003,"about_ca_system_score_gemma":0.0005403011,"threshold_uncertainty_score":0.9998216},"labels":[],"label_agreement":null},{"id":"W4296444138","doi":"10.1016/j.scs.2022.104187","title":"An event-based model and a map visualization approach for spatiotemporal association relations discovery of diseases diffusion","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Randomness; Association (psychology); Outbreak; Event (particle physics); Visualization; Computer science; Adjacency list; Geography; Data mining; Data science; Mathematics; Algorithm; Biology; Statistics","score_opus":0.05360029705767251,"score_gpt":0.3499813769995443,"score_spread":0.2963810799418718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296444138","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":[0.5117294,0.00030181537,0.48644057,0.0005611558,0.000015001775,0.00065102434,0.00022789522,0.00004648697,0.00002661837],"genre_scores_gemma":[0.9924718,0.000041478703,0.003831224,0.00022201947,0.000023672937,0.00027800497,0.00021834641,0.000012900271,0.0029005385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990244,0.00013317144,0.0002465241,0.0002074553,0.0001880074,0.00020045148],"domain_scores_gemma":[0.99868643,0.0008105236,0.00023352185,0.00010007646,0.00013459659,0.000034857505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006655287,0.00010322034,0.00024278359,0.000024385978,0.000856308,0.000037166872,0.0000494193,0.000060464074,0.00000478595],"category_scores_gemma":[0.00068779354,0.000093019495,0.000113503855,0.00009948853,0.00006853732,0.00020830958,0.00012643146,0.00007000504,8.128844e-9],"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":[0.00015451568,0.0009257739,0.16920516,0.00394099,0.00015722614,5.0212594e-7,0.013651876,0.115602165,0.00006026335,0.6727589,0.023430929,0.00011174478],"study_design_scores_gemma":[0.00053084677,0.0001475393,0.006512895,0.000006094836,0.00007935054,4.2874863e-8,0.04105301,0.75981534,0.00000301306,0.19149794,0.00023822588,0.00011572909],"about_ca_topic_score_codex":0.00012394485,"about_ca_topic_score_gemma":0.0000042246616,"teacher_disagreement_score":0.64421314,"about_ca_system_score_codex":0.00035795168,"about_ca_system_score_gemma":0.00009304849,"threshold_uncertainty_score":0.65861154},"labels":[],"label_agreement":null},{"id":"W4297310794","doi":"10.1016/j.scs.2022.104193","title":"A novel approach for occupants' horizontal and vertical movement modeling in non-residential buildings using Immersive Virtual Environment (IVE)","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd; National Research Council Canada; Natural Science Foundation of Beijing Municipality; Ministry of Science and Technology of the People's Republic of China","keywords":"Horizontal and vertical; Movement (music); Computer science; Virtual reality; Set (abstract data type); Key (lock); Architectural engineering; Simulation; Engineering; Human–computer interaction; Geology","score_opus":0.010965908775621497,"score_gpt":0.21031078586881213,"score_spread":0.19934487709319063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297310794","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":[0.60704315,0.00013585974,0.39248356,0.000015732041,0.000024118814,0.00023709664,0.0000144263295,0.000010705791,0.000035358848],"genre_scores_gemma":[0.99499565,0.000101103884,0.0044849804,0.00010631238,0.00003292106,0.00009758533,0.000024673034,0.000023003835,0.00013377795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999121,0.000007751777,0.00016808309,0.0001977862,0.0001579932,0.00034738172],"domain_scores_gemma":[0.9998309,0.000019196728,0.000013287131,0.00006402411,0.000017240944,0.00005532221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002101431,0.00012833285,0.00014897593,0.000037839436,0.00035913676,0.000056743465,0.000056187528,0.00005165514,0.000010277303],"category_scores_gemma":[0.0000043778628,0.00015179264,0.00006734882,0.0000611165,0.00005080932,0.00013716632,0.00016725187,0.00015414615,3.3496907e-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":[0.00003808507,0.00005085456,0.00015490764,0.00022670106,0.00006636774,0.0000025739475,0.011138378,0.9737734,0.0055322004,0.008734634,0.00011075014,0.00017110608],"study_design_scores_gemma":[0.0008357143,0.00005791985,0.00007778206,0.0000031997417,0.000018987766,0.0000022450029,0.19604895,0.80240613,0.00007036205,0.00027184046,0.000062831394,0.00014405264],"about_ca_topic_score_codex":0.00024552445,"about_ca_topic_score_gemma":0.0000015409886,"teacher_disagreement_score":0.38799858,"about_ca_system_score_codex":0.00047521995,"about_ca_system_score_gemma":0.0000316197,"threshold_uncertainty_score":0.61899245},"labels":[],"label_agreement":null},{"id":"W4297537327","doi":"10.1016/j.scs.2022.104219","title":"Evolution of COVID-19 municipal solid waste disposal behaviors using epidemiology-based periods defined by World Health Organization guidelines","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Coronavirus disease 2019 (COVID-19); Epidemiology; Pandemic; Municipal solid waste; Environmental health; Capital city; Environmental science; Geography; Socioeconomics; Waste management; Medicine; Engineering; Economics; Disease","score_opus":0.048079736606444434,"score_gpt":0.3596423231915395,"score_spread":0.31156258658509506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297537327","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":[0.9747221,0.0029226614,0.0055641327,0.015936714,0.00008393242,0.0006090531,0.00007476775,0.00004426504,0.00004241507],"genre_scores_gemma":[0.98370004,0.00028412085,0.002566337,0.009786144,0.00005782531,0.000033236814,0.000383769,0.000028784745,0.003159751],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9983321,0.00021919854,0.0005259935,0.00025506818,0.00021288275,0.0004547931],"domain_scores_gemma":[0.9992039,0.00007958223,0.00021470757,0.00019451161,0.00008293566,0.00022432284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012784846,0.00014213327,0.00039432314,0.00007423537,0.0009244858,0.000008034102,0.00006578907,0.00005143919,0.00014446625],"category_scores_gemma":[0.0002089374,0.00014337998,0.000099802244,0.0003973446,0.00019517806,0.000056486588,0.00022326496,0.00017512542,1.5995283e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042797186,0.001052977,0.578217,0.012756169,0.00029396662,0.00005181788,0.03583718,0.14024532,0.00089479913,0.021365223,0.20691144,0.0019460747],"study_design_scores_gemma":[0.002566381,0.0010515095,0.0076634856,0.0000669917,0.00017911039,0.000019595882,0.8784699,0.052679803,0.00005845865,0.00061939494,0.056280028,0.0003453268],"about_ca_topic_score_codex":0.009883711,"about_ca_topic_score_gemma":0.000041397387,"teacher_disagreement_score":0.8426327,"about_ca_system_score_codex":0.0022647758,"about_ca_system_score_gemma":0.0006928958,"threshold_uncertainty_score":0.9967096},"labels":[],"label_agreement":null},{"id":"W4297874551","doi":"10.1016/j.scs.2022.104190","title":"Economic-Environment-Energy (3E) objective-driven integrated municipal waste management under deep complexities – A novel multi-objective approach","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Beijing Nova Program; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Energy (signal processing); Waste management; Environmental science; Environmental economics; Engineering; Economics; Mathematics","score_opus":0.013377215098766937,"score_gpt":0.20901022743247244,"score_spread":0.1956330123337055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297874551","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":[0.5669307,0.0009613003,0.13671623,0.0006895106,0.00048928877,0.0039920257,0.0003165775,0.0003954356,0.2895089],"genre_scores_gemma":[0.9459673,0.00023223636,0.0060738097,0.0010511783,0.000042844968,0.00072779285,0.000120863166,0.00007066053,0.045713313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.99725306,0.00017541263,0.00035843233,0.00081300427,0.00043029987,0.00096979894],"domain_scores_gemma":[0.9990976,0.00005093389,0.00016904739,0.00051630026,0.000011250831,0.00015486589],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004331383,0.0004194465,0.00038597328,0.00007085799,0.001691682,0.0001561162,0.0005739935,0.00007855117,0.0019450982],"category_scores_gemma":[0.0000028339605,0.00044275253,0.00022905231,0.00023127404,0.00079175073,0.000331313,0.0043753837,0.0003568602,0.000011244521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052062427,0.0003147392,0.00042891141,0.00009836242,0.00038105113,0.000014787271,0.022551453,0.8791827,0.000009191122,0.09428466,0.0023458602,0.00033625256],"study_design_scores_gemma":[0.0011089725,0.000103660015,0.001050061,0.000003042663,0.000056161392,0.0000061274277,0.58849716,0.37892747,0.000005580142,0.0014509292,0.028402619,0.00038819975],"about_ca_topic_score_codex":0.0105043715,"about_ca_topic_score_gemma":0.00025627474,"teacher_disagreement_score":0.56594574,"about_ca_system_score_codex":0.0033347,"about_ca_system_score_gemma":0.000023310213,"threshold_uncertainty_score":0.9998024},"labels":[],"label_agreement":null},{"id":"W4304959146","doi":"10.1016/j.scs.2022.104252","title":"Improving the performance of a CAE-based reduced-order model for predicting turbulent airflow field around an isolated high-rise building","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; Canada Excellence Research Chairs, Government of Canada","keywords":"Airflow; Turbulence; Field (mathematics); Engineering; Computational fluid dynamics; Aerospace engineering; Architectural engineering; Mechanics; Mechanical engineering; Physics; Mathematics","score_opus":0.006148699433636973,"score_gpt":0.20373121100413602,"score_spread":0.19758251157049905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304959146","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":[0.99341565,0.00016472265,0.0051740897,0.00074917625,0.00004467322,0.00035351003,0.000012973931,0.00002972518,0.00005550363],"genre_scores_gemma":[0.995909,0.000028800347,0.0017931995,0.00041543727,0.000046249676,0.00014009739,0.000004783539,0.000013481918,0.0016489627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989946,0.000026203445,0.0001679214,0.00023384669,0.00019510445,0.00038232259],"domain_scores_gemma":[0.9996029,0.0000834322,0.00008868676,0.00015236017,0.00003439002,0.000038188417],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004368025,0.00012240262,0.00014123715,0.000010683964,0.0018571253,0.000041602867,0.0001621833,0.000037297606,0.000040245144],"category_scores_gemma":[0.000023394448,0.000096029115,0.00008172948,0.00014586948,0.00015676823,0.00021055466,0.00029568918,0.0001667937,5.784989e-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":[0.00014022544,0.00011146785,0.007113719,0.0005457817,0.000060554466,0.0000024774783,0.03183888,0.948806,0.00332941,0.0006959414,0.003929787,0.003425764],"study_design_scores_gemma":[0.00037170458,0.0003391688,0.0002703521,0.000007956018,0.000023880342,0.0000013362733,0.07780609,0.9196729,0.0006386037,0.00026244382,0.00048122046,0.00012432599],"about_ca_topic_score_codex":0.0011365542,"about_ca_topic_score_gemma":0.0000059753097,"teacher_disagreement_score":0.045967214,"about_ca_system_score_codex":0.00016337448,"about_ca_system_score_gemma":0.00005398955,"threshold_uncertainty_score":0.99944234},"labels":[],"label_agreement":null},{"id":"W4306393572","doi":"10.1016/j.scs.2022.104258","title":"Interval-parameter bi-level programming for energy system management under uncertainty: Towards a deep-decarbonized and sustainable future in China","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Environmental economics; Renewable energy; Greenhouse gas; Sustainable development; Fossil fuel; Computer science; Environmental resource management; Environmental science; Engineering; Economics","score_opus":0.005425594970616557,"score_gpt":0.1928079240510149,"score_spread":0.18738232908039834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306393572","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":[0.33170068,0.018406795,0.62434226,0.0011605822,0.0018646746,0.0062444606,0.00014474681,0.0020185476,0.0141172465],"genre_scores_gemma":[0.9816282,0.00032785084,0.004685569,0.00009349712,0.00009958905,0.001812952,0.000093223774,0.00008501972,0.01117414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99815285,0.00008079058,0.00034449584,0.00034901602,0.00020111402,0.0008717373],"domain_scores_gemma":[0.9994873,0.000039425347,0.00006228518,0.00019395952,0.00014194821,0.000075076015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062494207,0.00029600962,0.0003738862,0.00016465408,0.00053631753,0.00022432413,0.00014374848,0.00013596458,0.000009773234],"category_scores_gemma":[0.000009276669,0.00029746728,0.00012872941,0.00046940404,0.000059886755,0.00022373942,0.00026708117,0.00021428762,4.3781032e-8],"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":[0.00007792823,0.000035923178,0.000047321035,0.0063161766,0.00038985116,0.00007564301,0.011800981,0.48169604,0.000004668151,0.49021584,0.001672999,0.0076666093],"study_design_scores_gemma":[0.0011073006,0.00008273522,0.00008025144,0.0000486493,0.00004072732,0.000015961601,0.58834946,0.3850606,0.000010175108,0.001668839,0.023224762,0.00031054174],"about_ca_topic_score_codex":0.0019573197,"about_ca_topic_score_gemma":0.000054039945,"teacher_disagreement_score":0.64992744,"about_ca_system_score_codex":0.0015113677,"about_ca_system_score_gemma":0.0000611588,"threshold_uncertainty_score":0.9999477},"labels":[],"label_agreement":null},{"id":"W4307125310","doi":"10.1016/j.scs.2022.104272","title":"Modelling the Public Perception of Urban Public Space Lighting Based on SDGSAT-1 Glimmer Imagery: A Case Study in Beijing, China","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences","keywords":"Beijing; China; Perception; Public space; Geography; Space (punctuation); Architectural engineering; Remote sensing; Environmental science; Computer science; Engineering; Psychology; Archaeology","score_opus":0.015424986481087533,"score_gpt":0.23387262852947072,"score_spread":0.21844764204838318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307125310","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":[0.9930749,0.00006970483,0.0003253156,0.0036530194,0.00003347398,0.0005866439,0.0000043481405,0.000019750738,0.0022328624],"genre_scores_gemma":[0.9975823,0.000038752263,0.0001441028,0.00041403834,0.000030708834,0.000073118514,0.000005175232,0.000019756,0.0016920182],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980484,0.00024289124,0.00024860783,0.000306813,0.00047925298,0.00067402166],"domain_scores_gemma":[0.99942106,0.00007717844,0.00013095584,0.00025759125,0.00000883558,0.00010435701],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019719328,0.00016642228,0.00019253118,0.000057529316,0.0015691095,0.00010231701,0.00017102726,0.00004229702,0.0008047586],"category_scores_gemma":[0.000018714198,0.00013362555,0.00009978592,0.0003620556,0.0002191157,0.00035996968,0.00033643146,0.0003807568,0.0000014864203],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004864631,0.0011600059,0.78460276,0.00015263833,0.000030790892,0.00030752807,0.14846852,0.059819285,0.000050268914,0.0016528097,0.0029437225,0.00076304725],"study_design_scores_gemma":[0.00076286093,0.00048510617,0.028113132,0.00000475717,0.000014315463,0.00002638167,0.8009161,0.16483638,0.0000020564837,0.00013642033,0.0044955187,0.00020699594],"about_ca_topic_score_codex":0.00522868,"about_ca_topic_score_gemma":0.00004248574,"teacher_disagreement_score":0.75648963,"about_ca_system_score_codex":0.0008826025,"about_ca_system_score_gemma":0.00006680738,"threshold_uncertainty_score":0.9997307},"labels":[],"label_agreement":null},{"id":"W4315471737","doi":"10.1016/j.scs.2023.104401","title":"Urban ecosystem services supply-demand assessment from the perspective of the water-energy-food nexus","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China; National University's Basic Research Foundation of China; Jiangsu Office of Philosophy and Social Science","keywords":"Nexus (standard); Ecosystem services; Supply and demand; Production (economics); Natural resource economics; Environmental economics; Water supply; Business; Environmental science; Environmental resource management; Agricultural economics; Environmental engineering; Economics; Ecosystem; Engineering; Ecology","score_opus":0.004044321084228087,"score_gpt":0.1905554058130472,"score_spread":0.1865110847288191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315471737","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":[0.99169266,0.00029549722,0.0000068229556,0.0018262013,0.000119019314,0.0002148635,0.00008405386,0.000041138406,0.005719727],"genre_scores_gemma":[0.99748665,0.00019405951,0.00000694235,0.00028999732,0.00009971985,0.000036069297,0.000018900015,0.000012739167,0.0018549347],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9987797,0.000096329786,0.00017921785,0.00025831364,0.0002800385,0.0004063605],"domain_scores_gemma":[0.99944204,0.00009133279,0.0000775028,0.00030601528,0.000034759534,0.00004836912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037754985,0.00014542002,0.00018419868,0.000007080425,0.0007821328,0.00012235876,0.00036279715,0.00007526947,0.00022579501],"category_scores_gemma":[0.0000018725979,0.000060755072,0.00014135476,0.00020636522,0.00006447331,0.00023002578,0.00064934505,0.00009250309,0.000008717376],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039558025,0.00013567878,0.52202916,0.001761562,0.0008887528,0.000018704886,0.37434518,0.0043837093,0.00051336864,0.049695287,0.045961734,0.00022730991],"study_design_scores_gemma":[0.00043451152,0.0000809255,0.09616324,0.0000646103,0.000066116416,0.0000018355099,0.841606,0.008207626,0.0005871879,0.02455155,0.02802736,0.00020903058],"about_ca_topic_score_codex":0.013717773,"about_ca_topic_score_gemma":0.0026726897,"teacher_disagreement_score":0.4672608,"about_ca_system_score_codex":0.0001784705,"about_ca_system_score_gemma":0.000021459655,"threshold_uncertainty_score":0.99284995},"labels":[],"label_agreement":null},{"id":"W4318015092","doi":"10.1016/j.scs.2023.104421","title":"How INVELOX can affect the perspective of renewable energy exploitation: Demand response and multilateral structure planning outlook","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Microgrid; Renewable energy; Demand response; Solver; Mathematical optimization; Grid; Computer science; Turbine; Photovoltaic system; Electricity; Engineering; Mathematics; Electrical engineering","score_opus":0.007798513052142489,"score_gpt":0.20751819026534454,"score_spread":0.19971967721320205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318015092","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":[0.99587744,0.0013089086,0.0008728614,0.000968545,0.00011672631,0.00013432017,0.000013839241,0.00015843865,0.0005489034],"genre_scores_gemma":[0.9882448,0.00030282862,0.00011940563,0.00007774833,0.00007400915,0.000028607541,0.00000795281,0.000024219848,0.011120427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9992752,0.00005177059,0.000090504174,0.00015890428,0.0001209638,0.00030264613],"domain_scores_gemma":[0.99956447,0.0001505188,0.000026849899,0.00013474071,0.00008079052,0.00004261212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002455443,0.00014152935,0.00015459911,0.000055472414,0.00026058208,0.00011688436,0.000070052396,0.000065761255,0.0000036712038],"category_scores_gemma":[0.00004209147,0.00011373412,0.000048789523,0.00022448367,0.00013219945,0.00014904857,0.00010488811,0.00008043858,3.1809147e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009280787,0.000004461501,0.0020858997,0.0007424472,0.0004073257,0.00004425411,0.13209246,0.7990621,0.0009423801,0.014729565,0.049668882,0.00012743611],"study_design_scores_gemma":[0.0006304795,0.000079249934,0.018517237,0.000044003755,0.00004255095,0.000004768948,0.88188434,0.0768089,0.002019836,0.007993329,0.01169448,0.00028085022],"about_ca_topic_score_codex":0.0007402227,"about_ca_topic_score_gemma":0.00006013357,"teacher_disagreement_score":0.74979186,"about_ca_system_score_codex":0.00012665434,"about_ca_system_score_gemma":0.000025739648,"threshold_uncertainty_score":0.46379426},"labels":[],"label_agreement":null},{"id":"W4319915156","doi":"10.1016/j.scs.2023.104455","title":"“Estimating the recoverable value of in-situ building materials”","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Demolition; Deconstruction (building); Reuse; Asset (computer security); Circular economy; Demolition waste; Construction engineering; Civil engineering; Computer science; Environmental economics; Engineering; Waste management; Economics","score_opus":0.0056223682981160735,"score_gpt":0.2085342609224176,"score_spread":0.20291189262430154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319915156","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":[0.99672455,0.00039939754,0.00019330173,0.00008549625,0.00018881228,0.0001359199,0.0000032568732,0.00011898575,0.0021502927],"genre_scores_gemma":[0.9974956,0.0007636427,0.00089225546,0.000020661482,0.000070900234,0.000023203947,0.00000345855,0.000019318248,0.0007109537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927044,0.000016623118,0.00018283952,0.00009435143,0.00008631751,0.0003494446],"domain_scores_gemma":[0.9997072,0.00008628998,0.000030320847,0.00012298574,0.000033418368,0.000019781693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042452817,0.00009485343,0.00015861719,0.000031552347,0.00014299717,0.000061463914,0.000100932906,0.000056098215,0.000011418551],"category_scores_gemma":[0.000029900288,0.00007728142,0.00004072222,0.00029591293,0.00006574798,0.00019874303,0.000081226186,0.0001064219,0.0000013540179],"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":[0.00002041033,0.000007635523,0.0048426245,0.009654416,0.00018443353,0.00004836641,0.04997947,0.7688613,0.10524365,0.041584548,0.010949557,0.008623577],"study_design_scores_gemma":[0.0008148752,0.000044651493,0.016000874,0.00043854688,0.00002466185,0.000013572907,0.096148394,0.7865884,0.07848227,0.015769286,0.0051346268,0.000539853],"about_ca_topic_score_codex":0.00013805776,"about_ca_topic_score_gemma":0.0000014112928,"teacher_disagreement_score":0.046168923,"about_ca_system_score_codex":0.00007764334,"about_ca_system_score_gemma":0.000021758986,"threshold_uncertainty_score":0.31514445},"labels":[],"label_agreement":null},{"id":"W4321071715","doi":"10.1016/j.scs.2023.104473","title":"Updating the intensity-duration-frequency curves in major Canadian cities under changing climate using CMIP5 and CMIP6 model projections","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coupled model intercomparison project; Downscaling; Climatology; Environmental science; Quantile; Climate model; Return period; Storm; Meteorology; Duration (music); Climate change; Flood myth; Geography; Econometrics; Precipitation; Mathematics; Geology","score_opus":0.02316526865710818,"score_gpt":0.24714548406844697,"score_spread":0.22398021541133878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321071715","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":[0.9932417,0.00012595249,0.00026007477,0.0028290483,0.00003724785,0.00037561965,0.000027834125,0.000046598936,0.0030558943],"genre_scores_gemma":[0.99608004,0.0010990474,0.00040580338,0.0011855176,0.00002004658,0.000041272197,0.000018937852,0.000012872179,0.0011364914],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873465,0.00003713002,0.0001828288,0.00023673732,0.00011947044,0.0006891893],"domain_scores_gemma":[0.999661,0.00006505995,0.000041641728,0.00013032583,0.000029520355,0.0000724248],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000969279,0.00011837634,0.00013127478,0.000061861894,0.0015911522,0.00012785321,0.000074932264,0.00006715057,0.000049727394],"category_scores_gemma":[0.00004884029,0.00010054944,0.000042373405,0.00047555103,0.00032983982,0.00040520667,0.0002779563,0.00015496826,0.0000013704847],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020608772,0.000059289385,0.19440754,0.0033020086,0.00011041194,0.00003933441,0.31819025,0.21486638,0.0010763129,0.261169,0.0063819415,0.0003769213],"study_design_scores_gemma":[0.00013293694,0.000009807023,0.006636937,0.000065030355,0.000017181177,0.0000074000445,0.4416538,0.522749,0.0000069918856,0.028462242,0.000087753026,0.00017094315],"about_ca_topic_score_codex":0.108294226,"about_ca_topic_score_gemma":0.030334776,"teacher_disagreement_score":0.3078826,"about_ca_system_score_codex":0.0004118159,"about_ca_system_score_gemma":0.000100157944,"threshold_uncertainty_score":0.99970865},"labels":[],"label_agreement":null},{"id":"W4321769490","doi":"10.1016/j.scs.2023.104439","title":"Development of an integrated sustainability model for resilient cities featuring energy, environmental, social, governance and pandemic domains","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Corporate governance; Index (typography); Sustainability; Environmental economics; Smart city; Sustainable development; Resilience (materials science); Business; Psychological resilience; Environmental resource management; Computer science; Regional science; Economics; Political science; Geography; Computer security; Internet of Things; Ecology","score_opus":0.009477040442494348,"score_gpt":0.2116612467999158,"score_spread":0.20218420635742146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321769490","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":[0.9935537,0.000909607,0.004601621,0.000069738744,0.00003381056,0.00024857774,0.00008494472,0.00041847824,0.000079533515],"genre_scores_gemma":[0.9920842,0.0024426824,0.002740314,0.000019646564,0.000023912982,0.00016475543,0.00005616278,0.000034494336,0.0024338504],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9988141,0.000010454098,0.00025491425,0.00024619407,0.00014152832,0.0005327811],"domain_scores_gemma":[0.9996246,0.000060907303,0.000050886,0.00014554159,0.0000688523,0.00004920706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002586313,0.00021244034,0.0002737075,0.000042366086,0.00053633365,0.000057872836,0.000116893236,0.0001766679,0.0000028343386],"category_scores_gemma":[0.000025816684,0.00021054101,0.000073547395,0.00016276378,0.00039255005,0.00021921571,0.00018356169,0.000120445446,5.591209e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032451627,0.00025861277,0.011977475,0.020714859,0.0013221914,0.000036112764,0.34566405,0.07061711,0.0033480285,0.3416303,0.03914899,0.16495775],"study_design_scores_gemma":[0.0007188177,0.00006240516,0.008157116,0.000031998945,0.000027184115,0.0000023233795,0.76330185,0.18469612,0.0015135718,0.020224262,0.020794252,0.00047009846],"about_ca_topic_score_codex":0.00006736954,"about_ca_topic_score_gemma":0.000031993604,"teacher_disagreement_score":0.4176378,"about_ca_system_score_codex":0.0004796684,"about_ca_system_score_gemma":0.00010764023,"threshold_uncertainty_score":0.85856134},"labels":[],"label_agreement":null},{"id":"W4323268444","doi":"10.1016/j.scs.2023.104510","title":"Resilience and risk-based restoration strategies for critical infrastructure under uncertain disaster scenarios","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Resilience (materials science); Metric (unit); Risk analysis (engineering); Risk management; Software deployment; Electric power system; Natural disaster; Computer science; Constraint (computer-aided design); Risk assessment; Environmental resource management; Reliability engineering; Operations research; Engineering; Business; Power (physics); Operations management; Environmental science; Computer security; Geography","score_opus":0.007178372047424241,"score_gpt":0.25132505192192245,"score_spread":0.2441466798744982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323268444","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":[0.8574777,0.00033087746,0.14097925,0.0003747822,0.0000746221,0.0002603438,0.00004079651,0.00021022605,0.00025135314],"genre_scores_gemma":[0.99787605,0.0002978513,0.0012968096,0.000100369994,0.00007871961,0.000046779438,0.000025629124,0.000016939914,0.00026088196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899316,0.000035644793,0.00016603355,0.00023074313,0.00013949008,0.00043492104],"domain_scores_gemma":[0.9993312,0.00029546494,0.000021876453,0.00014778411,0.00012871076,0.0000749762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030245393,0.00016196138,0.00018188902,0.000054434735,0.00062580686,0.00026717188,0.00006979606,0.00014761537,0.000016676686],"category_scores_gemma":[0.00011697123,0.0001441939,0.000085280786,0.00029661838,0.00041224423,0.0003992456,0.00003292769,0.00018867833,4.2942756e-7],"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":[0.000017575423,0.0000038737357,0.0024660283,0.0012927833,0.000048105492,0.0000027789276,0.0062645874,0.9468264,0.00011175335,0.036439996,0.005433712,0.0010924136],"study_design_scores_gemma":[0.00028927563,0.00006266309,0.011165581,0.000020658043,0.000049581453,0.0000012988537,0.29789665,0.5852467,0.00005199773,0.10339305,0.0015778963,0.00024465044],"about_ca_topic_score_codex":0.000101146514,"about_ca_topic_score_gemma":0.000031690433,"teacher_disagreement_score":0.3615797,"about_ca_system_score_codex":0.000095720345,"about_ca_system_score_gemma":0.0001072596,"threshold_uncertainty_score":0.58800566},"labels":[],"label_agreement":null},{"id":"W4323304889","doi":"10.1016/j.scs.2023.104493","title":"Interpretable and actionable vehicular greenhouse gas emission prediction at road link-level","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Greenhouse gas; Interpretability; Predictive modelling; Key (lock); Work (physics); Environmental economics; Computer science; Engineering; Economics; Machine learning","score_opus":0.008607917650531384,"score_gpt":0.207576307984407,"score_spread":0.19896839033387562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323304889","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":[0.9957027,0.00095237594,0.00018636882,0.00017939958,0.00013557922,0.00014631366,0.000027893544,0.00046875465,0.0022006566],"genre_scores_gemma":[0.9287725,0.009762603,0.00013912757,0.000048757312,0.00013145838,0.000035286263,0.0000354601,0.00003589301,0.061038926],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909955,0.000010137722,0.00015065371,0.00018724079,0.00013319452,0.0004192166],"domain_scores_gemma":[0.99961984,0.000030957857,0.000020064439,0.00014003969,0.0000631471,0.00012595298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021825163,0.00015093767,0.00014806703,0.00004449863,0.0006130877,0.00008134371,0.000054099382,0.00015495812,0.000077625235],"category_scores_gemma":[0.000015783675,0.00014062096,0.000061902,0.00022774798,0.000065619475,0.00033726843,0.0001450512,0.00018776796,0.000005063462],"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":[0.00013888207,0.00006898566,0.031438667,0.008865155,0.00057756045,0.000112033136,0.044468146,0.07781388,0.016212592,0.0018545061,0.7142894,0.10416015],"study_design_scores_gemma":[0.00067641184,0.00008500031,0.014774105,0.0001273887,0.000030056308,0.00002899412,0.027376395,0.7707908,0.0015279576,0.0012758829,0.1829549,0.0003521126],"about_ca_topic_score_codex":0.00012388686,"about_ca_topic_score_gemma":0.0000027900105,"teacher_disagreement_score":0.6929769,"about_ca_system_score_codex":0.00014898618,"about_ca_system_score_gemma":0.000026341942,"threshold_uncertainty_score":0.5734356},"labels":[],"label_agreement":null},{"id":"W4324335356","doi":"10.1016/j.scs.2023.104533","title":"Intelligent operation, maintenance, and control system for public building: Towards infection risk mitigation and energy efficiency","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Science Fund for Distinguished Young Scholars; National Natural Science Foundation of China","keywords":"Ventilation (architecture); Artificial neural network; Energy consumption; Computer science; Simulation; Control (management); Engineering; Reliability engineering; Control theory (sociology); Artificial intelligence","score_opus":0.00508376757381792,"score_gpt":0.19058312622451476,"score_spread":0.18549935865069683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324335356","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":[0.4032484,0.000713143,0.59497875,0.00011039779,0.00016810175,0.0001648185,0.000011841175,0.00035447426,0.00025004035],"genre_scores_gemma":[0.9952235,0.003392485,0.00044851445,0.00003461904,0.00006739017,0.000109803106,0.000027509042,0.000018042216,0.00067809253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937683,0.00001713159,0.00013965092,0.0001505896,0.00006463759,0.00025117738],"domain_scores_gemma":[0.9996892,0.000047371366,0.000030089299,0.000060128266,0.00012113183,0.00005206611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002928528,0.00010762333,0.00012245675,0.000057528337,0.0004569243,0.00017617719,0.000025569545,0.00009424943,0.0000012075537],"category_scores_gemma":[0.00003084625,0.000103503604,0.00003907044,0.0001789205,0.000060024304,0.00022335199,0.000025148476,0.00005605449,4.117303e-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":[0.000011923368,0.000010908706,0.0016004378,0.0012257557,0.0001279854,0.000001224419,0.00245227,0.56811094,0.0000976251,0.40951213,0.0027965633,0.014052244],"study_design_scores_gemma":[0.000559525,0.000053087166,0.0010829262,0.000027583,0.000028846185,0.000004451338,0.0087280795,0.97610545,0.00031063936,0.0015832505,0.0113543,0.00016186525],"about_ca_topic_score_codex":0.00017573833,"about_ca_topic_score_gemma":0.0000069482176,"teacher_disagreement_score":0.5945303,"about_ca_system_score_codex":0.00009613473,"about_ca_system_score_gemma":0.00002479369,"threshold_uncertainty_score":0.42207545},"labels":[],"label_agreement":null},{"id":"W4327920431","doi":"10.1016/j.scs.2023.104540","title":"The impact of the thermal distribution network operating temperature and system design on different communities' energy profiles","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Siemens Canada; Ontario Centre of Innovation","keywords":"Renewable energy; Electrification; Demand response; Environmental science; Smart grid; Automotive engineering; Electricity; Flexibility (engineering); Engineering; Computer science; Electrical engineering","score_opus":0.0050352958448406,"score_gpt":0.18662410942105706,"score_spread":0.18158881357621645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327920431","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":[0.9967652,0.00073939277,0.0013017926,0.000039083247,0.00014555898,0.00025590413,0.000028850201,0.00017257912,0.0005516587],"genre_scores_gemma":[0.9984817,0.0004152208,0.000012323766,0.0000070388623,0.00008391952,0.000065258675,0.000053413605,0.000021592112,0.0008595615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922055,0.00016101469,0.00015555232,0.0000659046,0.00009729999,0.00029970717],"domain_scores_gemma":[0.9994868,0.00017388431,0.000039080922,0.00016451196,0.00011168776,0.000024046007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028899038,0.00014748871,0.00014473408,0.000008515481,0.0009959593,0.00015656748,0.000096943346,0.000106433574,0.0000010466387],"category_scores_gemma":[0.000010551931,0.00007504925,0.000080308084,0.00020075546,0.000104214356,0.00006674493,0.000060723534,0.00016180261,5.8280026e-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":[0.0000059181675,0.000002288218,0.00037983328,0.00018735258,0.00009480333,5.6524885e-7,0.0031655768,0.9591316,0.000111396075,0.031844076,0.0049852226,0.00009135256],"study_design_scores_gemma":[0.00017882528,0.00006703182,0.004505397,0.00020979987,0.0000134958655,0.000003389469,0.15596369,0.83803123,0.00065596896,0.000102031365,0.00013366113,0.00013548932],"about_ca_topic_score_codex":0.0006151042,"about_ca_topic_score_gemma":0.0000075902394,"teacher_disagreement_score":0.15279812,"about_ca_system_score_codex":0.00021188278,"about_ca_system_score_gemma":0.00003267167,"threshold_uncertainty_score":0.76602143},"labels":[],"label_agreement":null},{"id":"W4367678847","doi":"10.1016/j.scs.2023.104623","title":"Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Autoregressive integrated moving average; Particle swarm optimization; Computer science; Algorithm; Demand forecasting; Electricity; Artificial intelligence; Machine learning; Mathematical optimization; Operations research; Time series; Engineering; Mathematics","score_opus":0.00881264846630763,"score_gpt":0.19496843597151978,"score_spread":0.18615578750521214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367678847","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":[0.4987997,0.0006306259,0.49305484,0.000064906984,0.0001406514,0.00015561758,0.00003601269,0.0009663977,0.006151229],"genre_scores_gemma":[0.9936498,0.00030918946,0.002212132,0.00008199084,0.000055482134,0.000024804602,0.00024792677,0.0000572151,0.0033614754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905795,0.00002918014,0.00015607724,0.00018549153,0.00011882156,0.00045245126],"domain_scores_gemma":[0.9997224,0.000072494884,0.0000250113,0.00007607377,0.000033349457,0.000070642156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028603117,0.00016543722,0.00015368874,0.000079592035,0.00026183948,0.00007684182,0.000058704743,0.00011064303,0.000010334409],"category_scores_gemma":[0.00001779686,0.00017361478,0.000051107,0.00033536748,0.000028102357,0.00020868797,0.000031317984,0.0001860632,1.3127794e-7],"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":[0.0000036777922,0.000006822058,0.0004085696,0.00012920529,0.000009140763,0.0000073225856,0.0026170674,0.9944466,0.000010606799,0.00026634915,0.0004270998,0.0016675908],"study_design_scores_gemma":[0.0003358851,0.000048777823,0.000013361663,0.00003596534,0.000004627991,8.933185e-7,0.007501512,0.9907697,0.00008384597,0.00022820584,0.00077720114,0.00020005967],"about_ca_topic_score_codex":0.00028632095,"about_ca_topic_score_gemma":0.00001680912,"teacher_disagreement_score":0.49485007,"about_ca_system_score_codex":0.0001041228,"about_ca_system_score_gemma":0.000024389234,"threshold_uncertainty_score":0.7079805},"labels":[],"label_agreement":null},{"id":"W4376619492","doi":"10.1016/j.scs.2023.104648","title":"Scaling Study of Smoke Spread from Building Integrated Photovoltaic (BIPV) Double Skin Façade Fire for Achieving Sustainable Buildings and Cities","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Université de Sherbrooke","keywords":"Building-integrated photovoltaics; Smoke; Scale (ratio); Photovoltaic system; Scaling; Environmental science; Architectural engineering; Fire performance; Scale model; Engineering; Civil engineering; Aerospace engineering; Materials science; Waste management; Mathematics; Electrical engineering; Cartography; Fire resistance; Geography","score_opus":0.013010219057063779,"score_gpt":0.2530906439407214,"score_spread":0.2400804248836576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376619492","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":[0.99583,0.0014110149,0.0009800765,0.000055790744,0.00008175496,0.001092205,0.000073668,0.00028364046,0.00019187879],"genre_scores_gemma":[0.9942955,0.0014216728,0.0006117115,0.000016438853,0.000077474346,0.00019848344,0.00006897647,0.00008505252,0.0032246865],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9977851,0.00003076698,0.0004139283,0.00041695248,0.00028838066,0.0010648547],"domain_scores_gemma":[0.99876136,0.00044154323,0.00006593391,0.00025066815,0.00035078207,0.00012969338],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079653534,0.0003262226,0.00052714715,0.00014826046,0.00076336233,0.00032132107,0.00022202867,0.00019558502,0.0000128119855],"category_scores_gemma":[0.000092477814,0.0003280882,0.00015677132,0.0006673179,0.00019356934,0.00038217433,0.0003631426,0.00034933691,2.1533687e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014269397,0.0006813902,0.086257316,0.044642717,0.0049875733,0.00041259234,0.593573,0.11552364,0.018910972,0.08658052,0.02018534,0.02681805],"study_design_scores_gemma":[0.0020987995,0.0002107569,0.004625292,0.0001298937,0.000063685344,0.0000017860527,0.71806014,0.2665363,0.0007269829,0.003539712,0.0035807982,0.0004258497],"about_ca_topic_score_codex":0.0127657205,"about_ca_topic_score_gemma":0.000055561784,"teacher_disagreement_score":0.15101267,"about_ca_system_score_codex":0.00024480853,"about_ca_system_score_gemma":0.00008623101,"threshold_uncertainty_score":0.9999171},"labels":[],"label_agreement":null},{"id":"W4376891115","doi":"10.1016/j.scs.2023.104655","title":"To what extent is sustainability addressed at urban scale and how aligned is it with Earth's productive capacity?","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; École de Technologie Supérieure; British Columbia Institute of Technology; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Sustainability; Overconsumption; Ecological footprint; Carbon footprint; Planetary boundaries; Environmental resource management; Work (physics); Business; Natural resource economics; Scale (ratio); Environmental economics; Environmental planning; Economics; Geography; Production (economics); Engineering; Ecology; Greenhouse gas","score_opus":0.010055642862148958,"score_gpt":0.21099114129637575,"score_spread":0.20093549843422678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376891115","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":[0.97097087,0.00011494244,0.000018242308,0.026073946,0.000037968744,0.0011766495,0.000016971002,0.00008752146,0.0015028832],"genre_scores_gemma":[0.8056111,0.00061468274,0.00027425247,0.0029756196,0.00005763405,0.00021159794,0.000016483353,0.0000398397,0.19019884],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.99709177,0.00006082498,0.0001782913,0.0009239731,0.00051773945,0.0012274275],"domain_scores_gemma":[0.9990279,0.00005584881,0.00007417038,0.00040430704,0.000067444475,0.00037029237],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052996696,0.000382221,0.0003278831,0.000059551898,0.0011655343,0.00040888478,0.0001830792,0.00013542818,0.00054168375],"category_scores_gemma":[0.000045495162,0.00033540823,0.000094252646,0.0007109181,0.0010707809,0.0012719269,0.0011107108,0.00012518837,0.000037487698],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022839141,0.00012890635,0.16988266,0.001144738,0.00016944481,0.00007370103,0.38119844,0.00022089816,0.00057725137,0.0005073273,0.44227883,0.003589429],"study_design_scores_gemma":[0.0006967915,0.00024095639,0.14796919,0.000030120686,0.000034254357,0.000010547895,0.7359,0.00019745386,0.0025922554,0.0019461781,0.10975578,0.00062649033],"about_ca_topic_score_codex":0.0011012815,"about_ca_topic_score_gemma":0.00007792779,"teacher_disagreement_score":0.35470155,"about_ca_system_score_codex":0.001176354,"about_ca_system_score_gemma":0.0000640901,"threshold_uncertainty_score":0.9999098},"labels":[],"label_agreement":null},{"id":"W4377101225","doi":"10.1016/j.scs.2023.104660","title":"Built form and function as determinants of urban energy performance: An integrated agent-based modeling approach and case study","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":29,"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":"","keywords":"Context (archaeology); Urban density; Renewable energy; Urban planning; Sustainability; Environmental economics; Photovoltaic system; Efficient energy use; Energy consumption; Compact city; Energy modeling; Zero-energy building; Energy planning; Energy supply; Civil engineering; Urban design; Computer science; Energy (signal processing); Engineering; Geography; Economics","score_opus":0.013083234476367937,"score_gpt":0.21598422246388263,"score_spread":0.20290098798751469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377101225","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":[0.987315,0.00017270153,0.012179813,0.000001247202,0.000031589283,0.00009422208,0.0000020187067,0.00012355689,0.0000798673],"genre_scores_gemma":[0.9988869,0.0003354202,0.00024700543,0.000013650969,0.000017253176,0.000033656426,0.000022496783,0.000019239096,0.00042437218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945074,0.00001227819,0.00013177154,0.00013860411,0.0000715816,0.000195051],"domain_scores_gemma":[0.9997671,0.000011195838,0.00002064964,0.000089020585,0.000064962376,0.000047036752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016869194,0.00011371067,0.00013582641,0.000055259356,0.00025406433,0.000049862723,0.000027934158,0.000079313715,0.000001408973],"category_scores_gemma":[0.00000316686,0.00010700423,0.000022071745,0.00018838883,0.00004093257,0.0002478614,0.00003360502,0.00006807009,1.1459119e-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":[0.000023162645,0.000033334865,0.005556267,0.00062064524,0.00004521412,0.000028204691,0.008323609,0.9783111,0.000009399725,0.00059188844,0.000062275176,0.006394855],"study_design_scores_gemma":[0.00034284874,0.00015825203,0.00016499437,0.000010144198,0.000024815328,0.000020903755,0.15520085,0.8437902,0.00004019488,0.00009746966,0.000046668803,0.0001026618],"about_ca_topic_score_codex":0.0009834458,"about_ca_topic_score_gemma":0.000026025637,"teacher_disagreement_score":0.14687724,"about_ca_system_score_codex":0.00002781052,"about_ca_system_score_gemma":0.000024891524,"threshold_uncertainty_score":0.43635058},"labels":[],"label_agreement":null},{"id":"W4378591413","doi":"10.1016/j.scs.2023.104685","title":"A cross-jurisdictional comparison on residential waste collection rates during earlier waves of COVID-19","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Jurisdiction; Coronavirus disease 2019 (COVID-19); Benchmark (surveying); Data collection; Environmental science; Econometrics; Geography; Statistics; Economics; Mathematics; Political science; Cartography; Law","score_opus":0.020999570500252304,"score_gpt":0.32903817408328934,"score_spread":0.30803860358303703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378591413","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":[0.99571157,0.0001535819,0.000033763732,0.002013357,0.00008365446,0.000329331,0.000008017831,0.000055601664,0.0016111517],"genre_scores_gemma":[0.92153656,0.00076435745,0.00003195972,0.0003715709,0.00012021591,0.000027734231,0.000038426857,0.0000132280575,0.07709592],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9989496,0.00003261725,0.00023314661,0.00020193295,0.00027181723,0.0003109173],"domain_scores_gemma":[0.9995892,0.000054779135,0.00006106686,0.000111150766,0.00004237869,0.0001414338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029819473,0.00010302873,0.00020836649,0.00007908154,0.0005563201,0.000038507107,0.000030763986,0.00007923669,0.00012242688],"category_scores_gemma":[0.000034054334,0.00009763091,0.00010503368,0.00025561493,0.00019313477,0.00007538967,0.00010165638,0.00012861368,0.0000048828574],"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":[0.003111938,0.00063698547,0.5465421,0.026542312,0.0011419773,0.00038170588,0.10812554,0.016866626,0.0019367414,0.011405431,0.28192407,0.0013845508],"study_design_scores_gemma":[0.0031111115,0.00074571004,0.44427288,0.00009509589,0.00006973877,0.000012154836,0.5213436,0.0029174935,0.002406463,0.0010103985,0.023798656,0.00021670421],"about_ca_topic_score_codex":0.00073901855,"about_ca_topic_score_gemma":0.000009225865,"teacher_disagreement_score":0.41321808,"about_ca_system_score_codex":0.00035112206,"about_ca_system_score_gemma":0.00011776558,"threshold_uncertainty_score":0.42788208},"labels":[],"label_agreement":null},{"id":"W4378978290","doi":"10.1016/j.scs.2023.104661","title":"Generative design for COVID-19 and future pathogens using stochastic multi-agent simulation","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"SAFER; Generative Design; Computer science; Workflow; Set (abstract data type); Transmission (telecommunications); Generative grammar; Machine learning; Artificial intelligence; Simulation; Mathematical optimization; Engineering; Mathematics; Computer security; Programming language; Operations management","score_opus":0.03589054838236782,"score_gpt":0.27191209630321167,"score_spread":0.23602154792084384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378978290","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":[0.058615457,0.0005929416,0.9401815,0.00006474085,0.00008986447,0.00025873046,0.000013128968,0.00017948527,0.000004152631],"genre_scores_gemma":[0.9545461,0.00073774025,0.042800196,0.00027123102,0.0003210757,0.00010381149,0.00007530807,0.00004888993,0.0010956605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999517,0.000014059137,0.00008393711,0.00012054196,0.00004923518,0.0002152123],"domain_scores_gemma":[0.9997261,0.00008718027,0.000016972243,0.000052263127,0.000053933243,0.00006350471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016152298,0.00009806732,0.00009353758,0.000029807648,0.000436512,0.000055800087,0.000022458316,0.00008821105,0.0000033177805],"category_scores_gemma":[0.000020519912,0.00009922507,0.000037604685,0.00013326251,0.000033061286,0.000103765226,0.000022517921,0.000045759425,4.1608878e-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":[0.00000438269,0.0000022758604,0.000009278474,0.00023077567,0.000027462924,0.0000012426968,0.004856626,0.9914709,0.000054583066,0.0026386294,0.00043449717,0.00026939818],"study_design_scores_gemma":[0.00032398422,0.000016540756,0.000028499537,0.0000038079609,0.000019396162,9.599494e-7,0.024722012,0.9718978,0.00002060596,0.0010127991,0.0018345371,0.00011906546],"about_ca_topic_score_codex":0.000012224132,"about_ca_topic_score_gemma":8.8293365e-7,"teacher_disagreement_score":0.8973813,"about_ca_system_score_codex":0.00011262062,"about_ca_system_score_gemma":0.000045084715,"threshold_uncertainty_score":0.4046281},"labels":[],"label_agreement":null},{"id":"W4379644917","doi":"10.1016/j.scs.2023.104696","title":"Approaches in CFD modeling of respiratory droplet dispersion – issues and challenges","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Computational fluid dynamics; Dispersion (optics); Mechanics; Computer simulation; Simulation; Computer science; Materials science; Physics; Optics","score_opus":0.06247851832297337,"score_gpt":0.27485350957022087,"score_spread":0.2123749912472475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379644917","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":[0.9873029,0.009776634,0.00015447722,0.0012139546,0.00002040546,0.00017336397,0.0000011589076,0.0000344502,0.0013226338],"genre_scores_gemma":[0.98970526,0.008512829,0.000031598764,0.000052107986,0.0000571571,0.0000112692205,0.0000053043696,0.0000066743314,0.0016178108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99952173,0.000018632589,0.00011336167,0.00011673864,0.00008143737,0.00014807882],"domain_scores_gemma":[0.99980927,0.000022265966,0.000023282983,0.000057832138,0.00006078753,0.000026536947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036422547,0.000058943966,0.00015114497,0.000055697572,0.00008966254,0.000010124917,0.000011082479,0.00006816739,0.0000049028563],"category_scores_gemma":[0.000025785692,0.000051574378,0.000045293968,0.00010273477,0.000059126145,0.00008933128,0.000035627163,0.000067520734,2.2933537e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000874029,0.000514388,0.23505893,0.04153644,0.00053903833,0.000112376314,0.3037023,0.012890454,0.0012558206,0.32821324,0.0050228056,0.07028018],"study_design_scores_gemma":[0.0016548679,0.00023420942,0.043903787,0.00012955905,0.00003885531,0.0000031989741,0.5064888,0.43636897,0.00007259445,0.0030915248,0.007874176,0.00013942874],"about_ca_topic_score_codex":0.00013522296,"about_ca_topic_score_gemma":0.00000525713,"teacher_disagreement_score":0.4234785,"about_ca_system_score_codex":0.000027818998,"about_ca_system_score_gemma":0.000026710934,"threshold_uncertainty_score":0.21031421},"labels":[],"label_agreement":null},{"id":"W4380148619","doi":"10.1016/j.scs.2023.104703","title":"An ensemble federated learning framework for privacy-by-design mobility behaviour inference in smart cities","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Benchmarking; Computer science; Inference; Global Positioning System; Machine learning; Artificial intelligence; Ensemble learning; Identification (biology); Sample (material); Federated learning; Information privacy; Data mining; Data science; Computer security","score_opus":0.02577285862078676,"score_gpt":0.32249937839944137,"score_spread":0.2967265197786546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380148619","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":[0.9163843,0.00015836496,0.08116951,0.00090733817,0.00004355424,0.0007141561,0.000013366907,0.00024608834,0.00036334098],"genre_scores_gemma":[0.9900972,0.00037925178,0.0006235349,0.00015121776,0.000067564135,0.0002595711,0.00007371565,0.000015207776,0.00833274],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9979691,0.00042710567,0.00026715346,0.0003904713,0.00025462869,0.0006915341],"domain_scores_gemma":[0.9979261,0.0013365597,0.000078664205,0.00017260246,0.00035559913,0.0001304462],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029878295,0.00015363982,0.00026383623,0.00006645325,0.0025630486,0.0004808639,0.00018910691,0.00025479638,0.000103125894],"category_scores_gemma":[0.001323322,0.00016735443,0.00012589316,0.00071821845,0.00048450995,0.00038196778,0.000055495384,0.00030581886,0.0000020924303],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008815776,0.0003714044,0.22085306,0.00089400855,0.00011372458,0.000009362499,0.5818184,0.009671613,0.00007734085,0.17324214,0.006875288,0.005985482],"study_design_scores_gemma":[0.00026134538,0.00013538616,0.009167671,0.000032355092,0.00002636245,3.9809677e-8,0.87151355,0.01513279,0.000061120634,0.09932996,0.0040588826,0.0002805138],"about_ca_topic_score_codex":0.016839826,"about_ca_topic_score_gemma":0.001275381,"teacher_disagreement_score":0.28969514,"about_ca_system_score_codex":0.00028638993,"about_ca_system_score_gemma":0.00057578244,"threshold_uncertainty_score":0.9987355},"labels":[],"label_agreement":null},{"id":"W4381849912","doi":"10.1016/j.scs.2023.104748","title":"Integrated energy, cost, and environmental life cycle analysis of electricity generation and supply in Tehran, Iran","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Life-cycle assessment; Electricity generation; Diesel generator; Renewable energy; Environmental science; Electricity; Biogas; Environmental engineering; Waste management; Natural resource economics; Engineering; Diesel fuel; Economics; Production (economics)","score_opus":0.008117186143759779,"score_gpt":0.20028991568993956,"score_spread":0.19217272954617978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381849912","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":[0.99880713,0.0003232566,0.00012535098,0.00012554272,0.000008047608,0.000087750734,0.000021381025,0.000016278427,0.0004852611],"genre_scores_gemma":[0.9920695,0.005061104,0.00005705667,0.00022527855,0.0000105428335,0.00001594844,0.00012662844,0.000008786042,0.0024251586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990304,0.000050445462,0.00017460663,0.00025341715,0.00015269851,0.00033842886],"domain_scores_gemma":[0.9996877,0.00004877037,0.000049424325,0.000098249904,0.000002083539,0.000113819624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028653094,0.00013121242,0.00021528911,0.00007846581,0.0001924761,0.000034079305,0.00004874774,0.00009438595,0.00019216439],"category_scores_gemma":[0.000018196264,0.0001229128,0.000054852495,0.0005941741,0.00034402928,0.00023214439,0.00014428081,0.000082705155,6.892702e-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":[0.000065018525,0.00018500916,0.8252307,0.000100600126,0.00049066014,0.000026402187,0.01578987,0.12510586,0.01215258,0.0031464736,0.0046759085,0.013030889],"study_design_scores_gemma":[0.00056283234,0.000086512555,0.81966954,0.0000045450347,0.00012949348,0.0000012818243,0.03169197,0.14413933,0.00068695744,0.0006688464,0.0021254644,0.00023324456],"about_ca_topic_score_codex":0.0028201183,"about_ca_topic_score_gemma":0.00024471854,"teacher_disagreement_score":0.01903348,"about_ca_system_score_codex":0.0001394526,"about_ca_system_score_gemma":0.000008539963,"threshold_uncertainty_score":0.50122386},"labels":[],"label_agreement":null},{"id":"W4384563031","doi":"10.1016/j.scs.2023.104794","title":"Development and assessment of integrated hydrogen and renewable energy systems for a sustainable city","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Environmental science; Hydrogen production; Electricity generation; Fossil fuel; Electrification; Environmental engineering; Photovoltaic system; Waste management; Wind power; Biofuel; Renewable fuels; Electricity; Engineering; Hydrogen; Power (physics); Electrical engineering; Chemistry","score_opus":0.014442735845646166,"score_gpt":0.24537503125603835,"score_spread":0.23093229541039217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384563031","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":[0.9737493,0.00582713,0.0031688616,0.00012029952,0.00014809103,0.00083091273,0.000033710836,0.00032745267,0.01579428],"genre_scores_gemma":[0.83084166,0.0017422615,0.001094381,0.00005132522,0.00008885928,0.00051355414,0.00013333812,0.00006312941,0.1654715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975298,0.000097393066,0.00056060415,0.0005277382,0.00028944763,0.0009950323],"domain_scores_gemma":[0.9985759,0.00020588348,0.00020272295,0.00026534082,0.00054545974,0.00020463808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012583357,0.00033951266,0.00064205617,0.00015747389,0.0007357006,0.00022739512,0.00013872037,0.00021892124,0.000009796122],"category_scores_gemma":[0.00007898738,0.00031160782,0.00010533473,0.00056084443,0.00025221857,0.00029627365,0.00034067186,0.00010506525,1.3208515e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114123795,0.00015033314,0.0060369084,0.016341442,0.0017162932,0.00018861456,0.017547773,0.080525436,0.00080022914,0.83057135,0.042119835,0.0038876757],"study_design_scores_gemma":[0.0010843045,0.0001088032,0.00036291694,0.000097510296,0.00004832299,0.00001701197,0.3081894,0.0512276,0.0013457801,0.0031808005,0.63392544,0.00041213186],"about_ca_topic_score_codex":0.07155619,"about_ca_topic_score_gemma":0.00044044826,"teacher_disagreement_score":0.82739055,"about_ca_system_score_codex":0.00041157927,"about_ca_system_score_gemma":0.0007136187,"threshold_uncertainty_score":0.9999336},"labels":[],"label_agreement":null},{"id":"W4385582624","doi":"10.1016/j.scs.2023.104853","title":"Health-informed predictive regression for statistical-simulation decision-making in urban heat mitigation","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Poisson regression; Microclimate; Urban heat island; Overdispersion; Environmental science; Energy consumption; Regression analysis; Environmental health; Computer science; Meteorology; Geography; Engineering; Medicine","score_opus":0.023563164588176304,"score_gpt":0.3506337956016408,"score_spread":0.3270706310134645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385582624","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":[0.98423797,0.00020939732,0.0107235,0.0022008426,0.00011353885,0.0014122932,0.00011424914,0.00010345055,0.0008847615],"genre_scores_gemma":[0.99661577,0.00056946324,0.0011798871,0.00080983574,0.000054265078,0.00008003282,0.0000969767,0.00001244461,0.0005813128],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988204,0.00002302109,0.00023257727,0.00019568013,0.0001885118,0.00053977943],"domain_scores_gemma":[0.99896884,0.00075841,0.000054808384,0.0000822804,0.00002366266,0.00011199411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005235846,0.00009638627,0.0001573135,0.000036410485,0.00051392766,0.00004620204,0.000042814558,0.00006402505,0.000081129925],"category_scores_gemma":[0.00024163738,0.0000849181,0.000035311252,0.00027722167,0.000094866875,0.00030518495,0.00009711678,0.000078394965,0.0000047240624],"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":[0.00057518337,0.00009969876,0.13595174,0.0037011148,0.000019325398,0.000020752363,0.27382448,0.05410451,0.000026620073,0.005489484,0.42066082,0.10552626],"study_design_scores_gemma":[0.0010960011,0.000317001,0.3959857,0.0004509662,0.0000064972055,0.0000011005162,0.13513479,0.4122743,0.000005546637,0.042600542,0.011907323,0.00022024957],"about_ca_topic_score_codex":0.0003726788,"about_ca_topic_score_gemma":0.00009429887,"teacher_disagreement_score":0.40875348,"about_ca_system_score_codex":0.0006900191,"about_ca_system_score_gemma":0.000062285406,"threshold_uncertainty_score":0.39527678},"labels":[],"label_agreement":null},{"id":"W4386012707","doi":"10.1016/j.scs.2023.104880","title":"Relating social, ecological, and technological vulnerability to future flood exposure at two spatial scales in four U.S. cities","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Flood myth; Geography; Scale (ratio); Vulnerability (computing); Flooding (psychology); Social vulnerability; Spatial ecology; Environmental resource management; Environmental science; Psychological intervention; Cartography; Ecology; Computer science","score_opus":0.009266467194691817,"score_gpt":0.24124346534996155,"score_spread":0.23197699815526973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386012707","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":[0.9925738,0.00009909092,0.00008603737,0.0035709613,0.00005054545,0.00045437925,0.000005473425,0.00016198235,0.0029977572],"genre_scores_gemma":[0.99531054,0.0005251267,0.0005993558,0.00029843306,0.00008515723,0.00012057474,0.0000072403373,0.000011050123,0.0030425012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984317,0.000086303415,0.00021181731,0.00043939723,0.00023564832,0.00059512997],"domain_scores_gemma":[0.9996513,0.00008676435,0.00004657314,0.00012658186,0.0000130996,0.00007568655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008085833,0.00018407899,0.00023551218,0.00003622955,0.000987449,0.00012165656,0.0001329468,0.00017930301,0.00018192214],"category_scores_gemma":[0.00004636723,0.00015317343,0.00007427282,0.00038836457,0.0005339855,0.0002154278,0.001360689,0.00023944717,0.000009651431],"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":[0.00005074626,0.00014843569,0.8812263,0.00044495612,0.000057722693,0.00013515871,0.019741416,0.0019494428,0.00043149674,0.037222695,0.036757246,0.021834377],"study_design_scores_gemma":[0.00056690886,0.00014918519,0.7849699,0.0000067627266,0.000011755637,0.000001613971,0.18407026,0.000988294,0.00002114413,0.01587354,0.013080019,0.00026058822],"about_ca_topic_score_codex":0.00086835626,"about_ca_topic_score_gemma":0.00130997,"teacher_disagreement_score":0.16432884,"about_ca_system_score_codex":0.00034012183,"about_ca_system_score_gemma":0.000012225234,"threshold_uncertainty_score":0.7594758},"labels":[],"label_agreement":null},{"id":"W4386012743","doi":"10.1016/j.scs.2023.104876","title":"Changes in energy use profiles derived from electricity smart meter readings of residential buildings in Milan before, during and after the COVID-19 main lockdown","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":18,"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":"Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Electricity; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Mains electricity; Architectural engineering; Morning; Environmental economics; Smart meter; Business; Environmental science; Engineering; Geography; Economics; Medicine; Electrical engineering","score_opus":0.011982148544316418,"score_gpt":0.24669575628724325,"score_spread":0.23471360774292682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386012743","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":[0.99711037,0.00008918189,0.000068321875,0.0023587015,0.000014203394,0.00026492027,0.00004304444,0.000032072996,0.000019181678],"genre_scores_gemma":[0.9962422,0.00049344054,0.00010297854,0.0017470511,0.000020131572,0.00007767014,0.000009829536,0.000015033672,0.0012916669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984253,0.0001610471,0.00023824252,0.00036001301,0.00025309407,0.00056229264],"domain_scores_gemma":[0.99924743,0.00035329536,0.0000887899,0.00018528006,0.00001177883,0.000113416376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008552579,0.00016876467,0.00024238744,0.000076390235,0.00021057553,0.0000959391,0.0001440923,0.00011374526,0.00013453772],"category_scores_gemma":[0.00032779077,0.00013783711,0.000061867715,0.00057512155,0.000460792,0.0003071518,0.0005087227,0.00015256148,5.261898e-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":[0.00019088175,0.000023949684,0.9511819,0.00029836028,0.000024383755,0.000059202393,0.040295072,0.00009898408,0.0056314864,0.00034250907,0.0016544167,0.00019884748],"study_design_scores_gemma":[0.0006465297,0.000048133217,0.9604925,0.000020250058,0.000012370216,0.0000026611374,0.02774595,0.00053639093,0.0034807816,0.0050627897,0.001766701,0.00018493459],"about_ca_topic_score_codex":0.10609739,"about_ca_topic_score_gemma":0.019456744,"teacher_disagreement_score":0.08664065,"about_ca_system_score_codex":0.0006290412,"about_ca_system_score_gemma":0.000059812814,"threshold_uncertainty_score":0.9984356},"labels":[],"label_agreement":null},{"id":"W4386096780","doi":"10.1016/j.scs.2023.104888","title":"Intelligent anti-infection ventilation strategy based on computer audition: Towards healthy built environment and low carbon emission","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Science Fund for Distinguished Young Scholars; National Natural Science Foundation of China","keywords":"Ventilation (architecture); Infection rate; Medicine; Computer science; Intensive care medicine; Surgery; Engineering; Mechanical engineering","score_opus":0.014252954778171307,"score_gpt":0.2616270127909727,"score_spread":0.2473740580128014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386096780","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":[0.98524004,0.00009653126,0.012257948,0.0010025998,0.00018693281,0.00047922658,0.00000412893,0.00012610527,0.0006064665],"genre_scores_gemma":[0.99658,0.0007911777,0.000042379826,0.00038741634,0.00029435212,0.000029285953,0.00012346679,0.00001418798,0.001737752],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990764,0.00003855887,0.00018681397,0.00024233604,0.00020227961,0.00025356206],"domain_scores_gemma":[0.99961746,0.000030060837,0.00007180886,0.00010477653,0.0000783147,0.00009759145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003125027,0.0001333867,0.00018567615,0.00008262044,0.00034175767,0.00005367417,0.0000122177,0.00012145,0.000053410695],"category_scores_gemma":[0.000009396133,0.00012211112,0.0000960993,0.00014634461,0.000063501924,0.00008398676,0.00002773949,0.00014434816,0.000002265808],"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":[0.003248006,0.0019867618,0.47137254,0.019788852,0.0007678501,0.0002635746,0.014717004,0.11599438,0.002711072,0.009121223,0.036790174,0.32323855],"study_design_scores_gemma":[0.0013391007,0.0010130331,0.42581794,0.00011259235,0.000056827947,0.000008106188,0.0023558638,0.5623683,0.0005388935,0.0003907462,0.0058334973,0.00016513692],"about_ca_topic_score_codex":0.00020872497,"about_ca_topic_score_gemma":0.0000010603557,"teacher_disagreement_score":0.4463739,"about_ca_system_score_codex":0.00021307262,"about_ca_system_score_gemma":0.000085655534,"threshold_uncertainty_score":0.49795467},"labels":[],"label_agreement":null},{"id":"W4386226663","doi":"10.1016/j.scs.2023.104900","title":"Synergy between green stormwater infrastructure and active mobility: A comprehensive literature review","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stormwater; Context (archaeology); Green infrastructure; Environmental planning; Transport engineering; Business; Infrastructure planning; Environmental science; Engineering; Geography","score_opus":0.007290843730006154,"score_gpt":0.21820824401819325,"score_spread":0.2109174002881871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386226663","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":[0.9831658,0.008838677,0.00007504223,0.003135587,0.000062739935,0.0010393338,0.00012550014,0.00023478217,0.003322565],"genre_scores_gemma":[0.85055315,0.056506433,0.00047687258,0.0046263672,0.0002129817,0.00023274586,0.0004111434,0.00006486912,0.08691542],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987743,0.00005398511,0.00014949433,0.00035898387,0.00020029697,0.00046293077],"domain_scores_gemma":[0.9995472,0.000048866805,0.000050369057,0.00021377337,0.000035850488,0.000103962935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016035252,0.00019034877,0.00024528458,0.000026523503,0.00046904758,0.00008103262,0.00012016596,0.00009617633,0.0001618596],"category_scores_gemma":[0.000011294731,0.00015843606,0.000084759675,0.0004535971,0.00041594953,0.00045173604,0.0007765299,0.00019769178,0.00001203245],"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":[0.000024961937,0.000042796448,0.06327488,0.0126990415,0.0005673213,0.0001503439,0.06921879,0.00014895455,0.00009391121,0.0045031025,0.82306254,0.026213344],"study_design_scores_gemma":[0.00032811207,0.00006860798,0.41123545,0.00025704512,0.00010600075,0.0000066081802,0.03220831,0.00015916607,0.000010233182,0.0077711605,0.547491,0.00035828853],"about_ca_topic_score_codex":0.00042039948,"about_ca_topic_score_gemma":0.0000073298947,"teacher_disagreement_score":0.34796056,"about_ca_system_score_codex":0.00020993265,"about_ca_system_score_gemma":0.000009967747,"threshold_uncertainty_score":0.6460835},"labels":[],"label_agreement":null},{"id":"W4386567154","doi":"10.1016/j.scs.2023.104926","title":"The use of Google community mobility reports to model residential waste generation behaviors during and after the COVID-19 lockdown","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Univariate; Ranking (information retrieval); Multivariate statistics; Statistics; Coronavirus disease 2019 (COVID-19); Multivariate analysis; Consistency (knowledge bases); Weighting; Econometrics; Environmental science; Computer science; Mathematics; Machine learning; Medicine; Artificial intelligence","score_opus":0.034331469289560344,"score_gpt":0.26437200246532594,"score_spread":0.2300405331757656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386567154","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":[0.9981794,0.000032795484,0.00021542907,0.0009108764,0.000027071754,0.00051865005,0.000007379989,0.000019883357,0.00008853746],"genre_scores_gemma":[0.98981875,0.00014617376,0.00007067039,0.00039819683,0.000015550224,0.00011389065,0.0000043895207,0.000008725598,0.009423634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9988854,0.00015714132,0.00021981841,0.0001831583,0.00024774723,0.0003067557],"domain_scores_gemma":[0.99920493,0.000097168624,0.00007180663,0.0005086685,0.00002063177,0.000096771015],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012606533,0.00009997094,0.00009921468,0.000011359061,0.0016895642,0.00016616727,0.00013168102,0.00004192313,0.000029684115],"category_scores_gemma":[0.00011010894,0.000068451845,0.000056660687,0.0001887256,0.00047730247,0.00020250854,0.0014634168,0.00014200725,6.3182705e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045665733,0.000034760535,0.013911044,0.00021236282,0.000024507217,0.000019208659,0.04359174,0.92346716,0.00021812387,0.00035004516,0.01801505,0.000110316934],"study_design_scores_gemma":[0.0005328742,0.00013305114,0.09758141,0.000016605038,0.00011345442,0.0000159251,0.48065698,0.39782044,0.00043242823,0.005027928,0.017169563,0.00049934164],"about_ca_topic_score_codex":0.011290097,"about_ca_topic_score_gemma":0.0014670226,"teacher_disagreement_score":0.52564675,"about_ca_system_score_codex":0.00023282459,"about_ca_system_score_gemma":0.000021136313,"threshold_uncertainty_score":0.9996101},"labels":[],"label_agreement":null},{"id":"W4386569285","doi":"10.1016/j.scs.2023.104918","title":"The assessment of cooling capacity of blue-green spaces in rapidly developing cities: A case study of Tianjin's central urban area","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Urban heat island; Environmental science; Civil engineering; Geography; Environmental planning; Regional science; Meteorology; Engineering","score_opus":0.017401304016744033,"score_gpt":0.24597642831983632,"score_spread":0.2285751243030923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386569285","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":[0.99903727,0.000056815574,0.0001106754,0.00007657034,0.000031198004,0.00042771365,0.000013516368,0.000012488425,0.00023377675],"genre_scores_gemma":[0.99889785,0.000105772255,0.00019805702,0.0000121998555,0.000011845943,0.000022039396,0.000003206903,0.000007617014,0.0007414075],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9988275,0.00008559253,0.00031665753,0.00016204844,0.00025162112,0.00035654395],"domain_scores_gemma":[0.99942875,0.00020597571,0.00014104033,0.00014372177,0.000043983408,0.00003652334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067023694,0.00010498694,0.00021582602,0.000029292343,0.00024153922,0.000022662707,0.000101965765,0.000051414052,0.000017133145],"category_scores_gemma":[0.00003198544,0.00008338476,0.00005771748,0.0003901275,0.00036976728,0.00014517643,0.00017385467,0.000099768804,9.8826106e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014034959,0.000081496444,0.73957,0.00048976194,0.00007094196,0.000066402965,0.25473687,0.0017242626,0.00019284849,0.0014998383,0.0012896593,0.00026387052],"study_design_scores_gemma":[0.000506318,0.00012677265,0.17766877,0.000033270833,0.000016759446,0.000006494286,0.8173696,0.0032567421,0.0002262241,0.0005133469,0.0001820947,0.00009365621],"about_ca_topic_score_codex":0.01813242,"about_ca_topic_score_gemma":0.0014243515,"teacher_disagreement_score":0.5626327,"about_ca_system_score_codex":0.00023444327,"about_ca_system_score_gemma":0.00008427199,"threshold_uncertainty_score":0.98840594},"labels":[],"label_agreement":null},{"id":"W4386574369","doi":"10.1016/j.scs.2023.104925","title":"Thermal effects of cool roofs and urban vegetation during extreme heat events in three Canadian regions","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; National Research Council Canada","funders":"","keywords":"Vegetation (pathology); Environmental science; Urban heat island; Wind speed; Relative humidity; Urban climate; Meteorology; Climatology; Microclimate; Climate change; Population; Air temperature; Climate model; Humidity; Urban climatology; Geography; Atmospheric sciences; Urban planning; Civil engineering; Geology; Engineering","score_opus":0.0063146388275923645,"score_gpt":0.18186203541763865,"score_spread":0.17554739659004628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386574369","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":[0.99865705,0.0002293309,0.000010811624,0.00014152676,0.000022945133,0.00027015773,0.0000016339679,0.000016311427,0.0006502221],"genre_scores_gemma":[0.9977887,0.000107841566,0.000018824983,0.000038419334,0.0000142330555,0.000026997477,0.00000631085,0.0000078686,0.001990795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993525,0.000022796527,0.00009291183,0.00013968101,0.00009719911,0.00029491005],"domain_scores_gemma":[0.99978197,0.00004247487,0.000016453687,0.00007436601,0.000008654097,0.000076090386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012981611,0.000071947725,0.00008925935,0.000033268778,0.00019617732,0.000010759748,0.000038710867,0.000056124813,0.000014149396],"category_scores_gemma":[0.00001891892,0.000071419345,0.00002714131,0.00020488385,0.0001079452,0.0001829106,0.000055845132,0.00006158864,0.0000019142499],"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":[0.00000791106,0.000011593061,0.9707035,0.0006196952,0.000014030667,0.000022659791,0.0230124,0.0008986705,0.0021975208,0.0012467568,0.001050893,0.00021437863],"study_design_scores_gemma":[0.00037393995,0.000024941335,0.98824495,0.00003719306,0.0000059793206,9.4046123e-7,0.007606185,0.0014667796,0.00027050302,0.0017756267,0.000112088426,0.000080858386],"about_ca_topic_score_codex":0.05523766,"about_ca_topic_score_gemma":0.023514805,"teacher_disagreement_score":0.03172285,"about_ca_system_score_codex":0.00022515314,"about_ca_system_score_gemma":0.000029720697,"threshold_uncertainty_score":0.9943035},"labels":[],"label_agreement":null},{"id":"W4386600359","doi":"10.1016/j.scs.2023.104932","title":"Local power outages, heat, and community characteristics in New York City","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Professional Staff Congress and City University of New York; National Aeronautics and Space Administration","keywords":"Census; Vulnerability (computing); Government (linguistics); Power (physics); Duration (music); Climate change; Geography; Socioeconomics; Demographic economics; Business; Economics; Demography; Sociology; Population; Computer science","score_opus":0.04203556460054222,"score_gpt":0.2789529457858564,"score_spread":0.23691738118531416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386600359","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":[0.99571466,0.00017637524,0.00003685425,0.0013676558,0.000037438982,0.00016369646,0.000021469372,0.000047027374,0.0024348318],"genre_scores_gemma":[0.98994595,0.0011980846,0.000039565817,0.001342947,0.00002559362,0.000004855605,0.000026371776,0.000010431532,0.0074061775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900424,0.00006278831,0.00014543888,0.00013647486,0.00011576415,0.0005352773],"domain_scores_gemma":[0.99951476,0.00011314643,0.000024603647,0.00013868047,0.0000071752124,0.00020165152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066429767,0.00011075174,0.00017472566,0.000017548979,0.000582428,0.00006402155,0.00007508805,0.000095271214,0.00031093752],"category_scores_gemma":[0.00004488997,0.00010618695,0.000030022342,0.00023090527,0.0002882367,0.00013930339,0.0003523623,0.00033269648,0.000010951589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051126266,0.00012199221,0.5251925,0.00077210495,0.000014842952,0.00007363546,0.23623703,0.000031030668,0.000058444686,0.001263059,0.22689867,0.009285539],"study_design_scores_gemma":[0.0003726807,0.00010497265,0.7072854,0.000027399014,0.0000043662058,0.0000037070392,0.25677696,0.00037352843,0.0000059524014,0.0030330592,0.03185669,0.00015524727],"about_ca_topic_score_codex":0.015390081,"about_ca_topic_score_gemma":0.00047202068,"teacher_disagreement_score":0.19504198,"about_ca_system_score_codex":0.0002051029,"about_ca_system_score_gemma":0.000036278732,"threshold_uncertainty_score":0.99116653},"labels":[],"label_agreement":null},{"id":"W4387519916","doi":"10.1016/j.scs.2023.104994","title":"Analyzing the impact of various factors on leaf surface temperature based on a new tree-scale canopy energy balance model","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":11,"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":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; National Natural Science Foundation of China","keywords":"Microclimate; Latent heat; Transpiration; Energy balance; Atmospheric sciences; Environmental science; Canopy; Humidity; Flux (metallurgy); Vapour Pressure Deficit; Wind speed; Radiation flux; Relative humidity; Water vapor; Stomatal conductance; Meteorology; Radiation; Geography; Botany; Physics; Materials science; Photosynthesis; Thermodynamics","score_opus":0.006753088713450069,"score_gpt":0.21453383721258945,"score_spread":0.20778074849913938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387519916","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":[0.9968604,0.00004917848,0.00029757552,0.0003049856,0.000018210121,0.00012101152,0.000028734268,0.000041248695,0.0022786744],"genre_scores_gemma":[0.9768089,0.000099755845,0.00006860053,0.00014390217,0.00002001476,0.0000047106987,0.000025992476,0.000014779937,0.022813316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990479,0.000037472084,0.00011811098,0.00022626919,0.00019892679,0.00037135772],"domain_scores_gemma":[0.9995298,0.00011050898,0.000049303777,0.00021143701,0.000016170376,0.0000827919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664848,0.00015527011,0.0001597616,0.00001678116,0.0003218173,0.000050477942,0.00011711362,0.00009407585,0.00007594956],"category_scores_gemma":[0.000016119313,0.000099637415,0.00015878194,0.00038235128,0.00014080938,0.0001083328,0.000055871085,0.0001327663,0.0000015100838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031147603,0.000029881263,0.0691983,0.000032133237,0.000029418066,0.00000274594,0.0087086335,0.83811164,0.0022616799,0.00048810482,0.080943696,0.00016263814],"study_design_scores_gemma":[0.00078470405,0.00041069844,0.1140476,0.000037307316,0.000030298845,6.20277e-7,0.025713224,0.85169727,0.0030489769,0.0031212426,0.000747441,0.00036060574],"about_ca_topic_score_codex":0.009959724,"about_ca_topic_score_gemma":0.00011368786,"teacher_disagreement_score":0.080196254,"about_ca_system_score_codex":0.00035527247,"about_ca_system_score_gemma":0.00011235626,"threshold_uncertainty_score":0.99663305},"labels":[],"label_agreement":null},{"id":"W4387541708","doi":"10.1016/j.scs.2023.104993","title":"Current overview of impact analysis and risk assessment of urban pluvial flood on road traffic","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China","keywords":"Pluvial; Flood myth; Flood risk assessment; Environmental science; Context (archaeology); Flooding (psychology); Urbanization; Water resource management; Environmental planning; Geography; Geology","score_opus":0.010506650646793481,"score_gpt":0.2951173609516088,"score_spread":0.28461071030481533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387541708","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":[0.9979879,0.0006693259,0.00010068195,0.000040288785,0.00003458871,0.00025383107,0.00003431915,0.000025731913,0.0008533185],"genre_scores_gemma":[0.9832754,0.015756847,0.00015241175,0.000012368017,0.000017995704,0.000016558955,0.000021441763,0.000008311442,0.0007386484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987833,0.0000632756,0.00023246129,0.00025930864,0.00033568722,0.00032599145],"domain_scores_gemma":[0.99951863,0.000048774364,0.00015024592,0.00018809877,0.00001999463,0.00007425633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005742789,0.0001515353,0.00032448728,0.00007661498,0.00019026778,0.000036158046,0.00010090651,0.000043278265,0.00020047327],"category_scores_gemma":[0.000009613829,0.00012131716,0.0002728653,0.0007710462,0.00021463001,0.00014805191,0.00027703197,0.0001086905,0.0000010988978],"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":[0.000052172214,0.00043113186,0.8645802,0.0013033554,0.0021356633,0.0000075127145,0.013052992,0.04878003,0.000044731176,0.0048944457,0.019506052,0.04521173],"study_design_scores_gemma":[0.0005101181,0.00033771043,0.9409856,0.000018380426,0.00054746045,9.640855e-8,0.01983621,0.035432894,0.000016952388,0.00034410963,0.0018159114,0.0001545379],"about_ca_topic_score_codex":0.0019131206,"about_ca_topic_score_gemma":0.000048557635,"teacher_disagreement_score":0.07640543,"about_ca_system_score_codex":0.00013887504,"about_ca_system_score_gemma":0.000028021448,"threshold_uncertainty_score":0.49471703},"labels":[],"label_agreement":null},{"id":"W4388461668","doi":"10.1016/j.scs.2023.105044","title":"Insights into the urban municipal solid waste generation during the COVID-19 pandemic from machine learning analysis","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; University of Regina; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pandemic; Municipal solid waste; Coronavirus disease 2019 (COVID-19); Proxy (statistics); Environmental planning; Scrutiny; Contingency plan; Business; Warrant; Operations management; Environmental economics; Engineering; Computer science; Geography; Waste management; Economics; Medicine; Political science; Infectious disease (medical specialty); Computer security; Disease","score_opus":0.027019751626130302,"score_gpt":0.28615023548714463,"score_spread":0.25913048386101434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388461668","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":[0.99277854,0.002196122,0.00012367997,0.004268322,0.000032464606,0.00029311213,0.0000030853193,0.00006834347,0.00023632067],"genre_scores_gemma":[0.9689781,0.005391193,0.000014633608,0.0026723074,0.00025543704,0.000047603226,0.00018865235,0.000014346409,0.022437714],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9989021,0.00013033979,0.00019311276,0.00023035699,0.00023023991,0.0003138615],"domain_scores_gemma":[0.99944454,0.00010218585,0.000057619276,0.00025282378,0.000021070698,0.000121767545],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00041316866,0.00012697234,0.00020518173,0.000052167856,0.0015690314,0.00007206244,0.00008760172,0.00006880515,0.00004674357],"category_scores_gemma":[0.000047206515,0.00007526112,0.00016236606,0.00047308896,0.00016225892,0.00006987643,0.00026281184,0.0002809729,0.0000036942702],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001040502,0.00005235888,0.2557311,0.0012833532,0.003175373,0.0001498834,0.647652,0.078483045,0.0008880407,0.001970787,0.008196513,0.0023135173],"study_design_scores_gemma":[0.00069623976,0.00007660882,0.023267789,0.000008495552,0.0005107494,0.0000020257187,0.7305381,0.1499871,0.000039274524,0.00046577086,0.094260946,0.00014690375],"about_ca_topic_score_codex":0.010461661,"about_ca_topic_score_gemma":0.0005876644,"teacher_disagreement_score":0.23246332,"about_ca_system_score_codex":0.00037161546,"about_ca_system_score_gemma":0.000046026034,"threshold_uncertainty_score":0.99973077},"labels":[],"label_agreement":null},{"id":"W4388914990","doi":"10.1016/j.scs.2023.105078","title":"A comprehensive study of a green hybrid multi-generation compressed air energy storage (CAES) system for sustainable cities: Energy, exergy, economic, exergoeconomic, and advanced exergy analysis","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exergy; Renewable energy; Exergy efficiency; Environmental engineering; Payback period; Environmental science; Waste management; Cogeneration; Electricity; Engineering; Waste heat; Electricity generation; Production (economics); Power (physics); Heat exchanger; Mechanical engineering; Economics","score_opus":0.008494039437531452,"score_gpt":0.21421816164120094,"score_spread":0.20572412220366948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388914990","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":[0.9572097,0.0026386157,0.038702983,0.000015959113,0.00019079217,0.00052401924,0.00013046978,0.0003436246,0.00024384078],"genre_scores_gemma":[0.98896664,0.0010109203,0.00009638216,0.000025722538,0.00014216486,0.00037984233,0.00022197404,0.000073589224,0.009082775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783677,0.00006887707,0.00067576754,0.0005276694,0.00013566924,0.0007552389],"domain_scores_gemma":[0.99885124,0.00013611797,0.00019154706,0.00037797246,0.00028954257,0.00015359398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022720371,0.00042243302,0.0010480692,0.00030317207,0.0005343704,0.000104248946,0.00020992849,0.00013983119,0.000009420368],"category_scores_gemma":[0.0000048256816,0.00045131953,0.00036839023,0.00030900334,0.00014058135,0.0003374397,0.0001696457,0.00008870841,4.582994e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013917191,0.00009974469,0.00027140952,0.003913661,0.004271497,0.00004633701,0.01784374,0.94389606,0.00038310656,0.024946403,0.0032779202,0.00091092783],"study_design_scores_gemma":[0.0015221632,0.00013517165,0.00028255352,0.000020903033,0.0003648506,0.0000025010952,0.37615308,0.6175045,0.00013155022,0.00016657446,0.0033507003,0.0003654922],"about_ca_topic_score_codex":0.015944343,"about_ca_topic_score_gemma":0.00047807724,"teacher_disagreement_score":0.35830936,"about_ca_system_score_codex":0.00038747137,"about_ca_system_score_gemma":0.000076632125,"threshold_uncertainty_score":0.9997938},"labels":[],"label_agreement":null},{"id":"W4389060001","doi":"10.1016/j.scs.2023.105035","title":"Corrigendum to ‘Integrated energy, cost, and environmental life cycle analysis of electricity generation and supply in Tehran, Iran’","year":2023,"lang":"en","type":"erratum","venue":"Sustainable Cities and Society","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electricity; Life-cycle assessment; Mains electricity; Electricity generation; Energy supply; Life-cycle cost analysis; Environmental economics; Natural resource economics; Energy (signal processing); Environmental science; Business; Engineering; Economics; Production (economics); Electrical engineering; Risk analysis (engineering); Power (physics); Mathematics; Microeconomics","score_opus":0.010685034488700701,"score_gpt":0.20846653794856937,"score_spread":0.19778150345986867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389060001","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":[0.99097395,0.0025536146,0.00036722032,0.000336467,0.00070111867,0.00053520256,0.00038378852,0.00004953337,0.0040991013],"genre_scores_gemma":[0.73485607,0.0179399,0.00008114571,0.0006879155,0.00010080856,0.00006454303,0.001209148,0.00004700397,0.24501348],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.997982,0.00008793986,0.00036046605,0.0005943543,0.00034546418,0.0006297666],"domain_scores_gemma":[0.9993113,0.00004312685,0.00013942862,0.0002211024,0.000005935917,0.00027906316],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036774387,0.00035598574,0.00059471553,0.00017523534,0.0002915186,0.0000781812,0.0001254221,0.00041896495,0.0003638925],"category_scores_gemma":[0.00004166783,0.0003469152,0.00013643596,0.0007736857,0.00041228932,0.00021458583,0.0003437914,0.00033051195,0.0000019252034],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083267885,0.00021488726,0.052905962,0.00028392556,0.0010207641,0.000051058443,0.010650704,0.034461185,0.00085742475,0.00073179597,0.8939722,0.004766815],"study_design_scores_gemma":[0.001385746,0.00052763335,0.5877065,0.000077845434,0.0012528399,0.0000057335997,0.059646774,0.109000295,0.00026492352,0.00076677685,0.23769325,0.0016716495],"about_ca_topic_score_codex":0.009567756,"about_ca_topic_score_gemma":0.0015084429,"teacher_disagreement_score":0.65627897,"about_ca_system_score_codex":0.00047660587,"about_ca_system_score_gemma":0.000041667812,"threshold_uncertainty_score":0.9998983},"labels":[],"label_agreement":null},{"id":"W4389397144","doi":"10.1016/j.scs.2023.105101","title":"A framework for evaluating urban solar adoption considering economic and environmental priorities of project owners","year":2023,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"University of Alberta","keywords":"Photovoltaic system; Context (archaeology); Roof; Environmental economics; Greenhouse gas; Business; Fossil fuel; Payback period; Environmental science; Environmental planning; Civil engineering; Engineering; Economics; Production (economics); Geography; Waste management","score_opus":0.027009750961842483,"score_gpt":0.282930410331049,"score_spread":0.2559206593692065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389397144","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":[0.9656767,0.00047721775,0.033054657,0.00009531819,0.000093953284,0.00044403787,0.000031331947,0.000076786804,0.000049970877],"genre_scores_gemma":[0.96676034,0.0010197079,0.031363014,0.00009787405,0.000053922828,0.00005865059,0.000011028506,0.0000109210205,0.0006245245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933565,0.000031013533,0.00014352691,0.00018428512,0.00007985121,0.00022565556],"domain_scores_gemma":[0.9994586,0.000284614,0.000093062896,0.00011255675,0.00001990784,0.000031235268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005449317,0.000082289036,0.00012496779,0.000037442664,0.0003521225,0.00012301882,0.00007423131,0.00006727326,0.0000020338543],"category_scores_gemma":[0.00006814814,0.00008383801,0.000063438674,0.00007085843,0.00010820245,0.0002721501,0.00012104621,0.0000800919,2.4945993e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040880208,0.00003294483,0.05865203,0.0023539457,0.0002712225,0.0000050672297,0.31063694,0.0013923197,0.0007267632,0.60087,0.0072404128,0.017777462],"study_design_scores_gemma":[0.0007680013,0.00026437352,0.007588405,0.000040498697,0.000027646036,0.00000478674,0.35521033,0.56481534,0.0004991224,0.06403933,0.006443439,0.00029872893],"about_ca_topic_score_codex":0.0000987506,"about_ca_topic_score_gemma":0.0000012131018,"teacher_disagreement_score":0.56342304,"about_ca_system_score_codex":0.000081134735,"about_ca_system_score_gemma":0.00012078151,"threshold_uncertainty_score":0.34188148},"labels":[],"label_agreement":null},{"id":"W4391539874","doi":"10.1016/j.scs.2024.105249","title":"Fast prediction of spatial temperature distributions in urban areas with WRF and temporal fusion transformers","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; National Science Fund for Distinguished Young Scholars; Concordia University","keywords":"Weather Research and Forecasting Model; Environmental science; Meteorology; Numerical weather prediction; Urban heat island; Computer science; Geography","score_opus":0.002667291153434155,"score_gpt":0.17368439269641778,"score_spread":0.17101710154298363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391539874","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":[0.997473,0.00028170686,0.0007337858,0.00024348879,0.00002482559,0.00023024157,0.00010408028,0.000023662134,0.0008851874],"genre_scores_gemma":[0.99800414,0.00017270795,0.000067481036,0.000013277201,0.000023648068,0.000017572112,0.000087659886,0.00000609239,0.0016074472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994322,0.000013971138,0.000103000784,0.00016282125,0.000116555704,0.00017143208],"domain_scores_gemma":[0.99987745,0.000015291203,0.000012954289,0.000042422278,0.0000108600025,0.000041015533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111247304,0.000081295,0.0000855937,0.000015538275,0.00014115256,0.000043452812,0.000021000831,0.00007157228,0.000059909715],"category_scores_gemma":[0.0000032373407,0.00006302185,0.000028568094,0.00015956932,0.00024841618,0.0002626533,0.00002470345,0.000110300716,2.6196818e-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":[0.00007429993,0.00007631856,0.926365,0.0010603331,0.000045889923,0.000027744605,0.047815,0.00013699524,0.0032256085,0.0039832885,0.012503228,0.004686278],"study_design_scores_gemma":[0.0012527261,0.0005766667,0.81270945,0.00023104459,0.00007109313,0.000028712055,0.15741761,0.007713491,0.0015436148,0.0020415704,0.01608427,0.00032974148],"about_ca_topic_score_codex":0.0022606512,"about_ca_topic_score_gemma":0.0002104354,"teacher_disagreement_score":0.11365555,"about_ca_system_score_codex":0.00014337679,"about_ca_system_score_gemma":0.00003185363,"threshold_uncertainty_score":0.34174436},"labels":[],"label_agreement":null},{"id":"W4392170493","doi":"10.1016/j.scs.2024.105302","title":"Assessing impact of urban densification on outdoor microclimate and thermal comfort using ENVI-met simulations for Combined Spatial-Climatic Design (CSCD) approach","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":59,"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 Waterloo","funders":"Singapore-MIT Alliance for Research and Technology Centre; Singapore Management University; Technische Universität München; National Research Foundation Singapore; National University of Singapore","keywords":"Microclimate; Environmental science; Context (archaeology); Noon; Meteorology; Thermal comfort; Mean radiant temperature; Urban heat island; Atmospheric sciences; Latitude; Spatial variability; Geography; Climate change; Statistics","score_opus":0.03201716895560587,"score_gpt":0.288854774724201,"score_spread":0.25683760576859516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392170493","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":[0.9396573,0.0001353835,0.059258062,0.000023784953,0.000022622373,0.0006295198,0.00002788672,0.000029503142,0.00021594805],"genre_scores_gemma":[0.9903137,0.000019939343,0.009226933,0.000027433261,0.000024135055,0.000021261652,0.00005388025,0.000020915293,0.0002918185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991222,0.00004945184,0.00020714632,0.00023025926,0.00012061829,0.00027034435],"domain_scores_gemma":[0.9994868,0.00025790356,0.00006870746,0.00011208604,0.00002533399,0.000049144935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647725,0.00013709575,0.00017218811,0.000029794977,0.00036503322,0.00019978193,0.000044868346,0.00007760506,0.0000296006],"category_scores_gemma":[0.000026537033,0.00011588679,0.00009900129,0.00011960045,0.0002011507,0.0004125296,0.000048493694,0.00007457043,4.2002944e-7],"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":[0.00036714686,0.00072766194,0.25523704,0.008561852,0.0008858647,0.0000113238375,0.13032821,0.3726157,0.19632268,0.01599748,0.007202797,0.011742266],"study_design_scores_gemma":[0.00050923525,0.00026056217,0.030905912,0.00006565279,0.00011202137,0.000003602992,0.016878255,0.9479084,0.0010263433,0.002066205,0.00005602248,0.00020780748],"about_ca_topic_score_codex":0.0004240653,"about_ca_topic_score_gemma":0.0000014568559,"teacher_disagreement_score":0.5752927,"about_ca_system_score_codex":0.00027916036,"about_ca_system_score_gemma":0.00005057409,"threshold_uncertainty_score":0.4725726},"labels":[],"label_agreement":null},{"id":"W4394575713","doi":"10.1016/j.scs.2024.105419","title":"Spatio-temporal patterns and spillover effects of synergy on carbon dioxide emission and pollution reductions in the Yangtze River Delta region in China","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Spillover effect; Delta; Yangtze river; China; Economic geography; Environmental science; Spatial analysis; Driving factors; Population; Pollution; Geography; Natural resource economics; Environmental engineering; Economics; Ecology; Remote sensing; Engineering","score_opus":0.006264614115354447,"score_gpt":0.18320925560080506,"score_spread":0.1769446414854506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394575713","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":[0.9942934,0.0031830822,0.00007333782,0.0007928994,0.00007713312,0.0001789042,0.000013379642,0.000008738218,0.0013791117],"genre_scores_gemma":[0.9942571,0.0045424616,0.000021401152,0.000093517396,0.000040855106,0.000023680986,0.000010790558,0.000013688459,0.0009964955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999195,0.00002734507,0.00024986823,0.00029475705,0.00002720495,0.00020585436],"domain_scores_gemma":[0.99969953,0.00004751692,0.00008536669,0.00013277822,0.000004019287,0.000030800817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031876247,0.00011831625,0.00020467765,0.000110086476,0.00007606286,0.0000438965,0.000049809318,0.0000974485,0.000003887689],"category_scores_gemma":[0.000028047749,0.000110866,0.000048704045,0.000118175274,0.00014234599,0.0001772575,0.00005929688,0.00014110327,1.8651129e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033971133,0.00010350459,0.45975056,0.0017542554,0.000072067145,0.00004736189,0.027711922,0.00061268,0.00003490732,0.50790167,0.00070667994,0.0012703938],"study_design_scores_gemma":[0.0007464906,0.000179031,0.9254082,0.0002007419,0.000012648893,0.000009992359,0.013498566,0.005675723,0.00013915813,0.048759174,0.0051036538,0.00026662956],"about_ca_topic_score_codex":0.006679183,"about_ca_topic_score_gemma":0.000067061985,"teacher_disagreement_score":0.46565762,"about_ca_system_score_codex":0.00019884694,"about_ca_system_score_gemma":0.0000125937395,"threshold_uncertainty_score":0.99993545},"labels":[],"label_agreement":null},{"id":"W4394958478","doi":"10.1016/j.scs.2024.105457","title":"Advancing energy transition with novel biomass-solar based multigeneration energy system using hydrogen and storage options for sustainable cities","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":39,"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 Ontario Institute of Technology","funders":"","keywords":"Exergy; Brayton cycle; Environmental science; Renewable energy; Photovoltaic system; Thermal energy storage; Exergy efficiency; Biomass (ecology); Absorption refrigerator; Energy storage; Environmental engineering; Process engineering; Waste management; Solar energy; Thermal energy; Rankine cycle; Engineering; Thermodynamics; Mechanical engineering; Power (physics); Heat exchanger; Electrical engineering; Physics; Ecology","score_opus":0.004346564833392637,"score_gpt":0.1925064768239124,"score_spread":0.18815991199051976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394958478","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":[0.17730136,0.0060917325,0.8158656,0.0000279127,0.000074155265,0.00015980843,0.000046967205,0.00027319833,0.00015929465],"genre_scores_gemma":[0.995997,0.00019933343,0.0013134972,0.000032874603,0.00016195554,0.000101262915,0.00008770757,0.00006167055,0.0020447138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998853,0.000020136806,0.00022142737,0.00026764596,0.00012625825,0.00051152613],"domain_scores_gemma":[0.9995433,0.000052334428,0.000029520412,0.000115412506,0.00016616166,0.00009326358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002346311,0.00023937941,0.00026511773,0.00010316277,0.0006091154,0.0002945135,0.00005059185,0.00013942503,0.0000033332842],"category_scores_gemma":[0.0000032533885,0.0002215101,0.00013209734,0.00018724395,0.00010603748,0.00042802314,0.000016041133,0.000069558046,3.609776e-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":[0.000052765525,0.000030058616,0.000024657624,0.0144352745,0.0006746586,0.000063357154,0.010025404,0.74721795,0.006412699,0.21993355,0.00072752574,0.00040209715],"study_design_scores_gemma":[0.00036480036,0.000055116026,0.000006242571,0.00017364901,0.00013009654,0.000014336303,0.12934875,0.8648502,0.0005486765,0.00027154313,0.003969425,0.000267121],"about_ca_topic_score_codex":0.0025423993,"about_ca_topic_score_gemma":0.000042289477,"teacher_disagreement_score":0.8186956,"about_ca_system_score_codex":0.00035639355,"about_ca_system_score_gemma":0.00011320392,"threshold_uncertainty_score":0.90329194},"labels":[],"label_agreement":null},{"id":"W4395955124","doi":"10.1016/j.scs.2024.105484","title":"City-scale modelling of road thermal and hydrologic characteristics and failure mechanisms: Case study of Montreal","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Trottier Institute for Sustainability in Engineering and Design","keywords":"Scale (ratio); Environmental science; Civil engineering; Transport engineering; Engineering; Geography; Cartography","score_opus":0.008720865781549438,"score_gpt":0.19663606086029853,"score_spread":0.1879151950787491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395955124","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":[0.9982716,0.00030376166,0.00090157666,0.00003672452,0.000013003439,0.00022980296,0.000013509864,0.000015450298,0.00021460492],"genre_scores_gemma":[0.99883044,0.00015666631,0.00034029977,0.000015433974,0.000012100548,0.000009718212,0.0000022856655,0.000006989486,0.0006260746],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99938846,0.000026819798,0.00014255397,0.0001819632,0.000099266836,0.00016095024],"domain_scores_gemma":[0.99980396,0.000035373243,0.000034232206,0.00007250267,0.000013645835,0.00004030796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019975172,0.000090164154,0.00015112876,0.000012472704,0.00013991374,0.000035723737,0.000028479792,0.00006350433,0.000030411089],"category_scores_gemma":[0.0000030654055,0.00007514951,0.000026882823,0.000065936234,0.00017703498,0.00015517983,0.000121962265,0.000080914026,1.0534743e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009263014,0.0005812808,0.20467697,0.0036524518,0.00036569528,0.0014996773,0.75538623,0.005326968,0.005241726,0.0042664343,0.0009659056,0.017944025],"study_design_scores_gemma":[0.0006811418,0.00072576076,0.020610055,0.000037021673,0.00014933653,0.0001807781,0.7136768,0.25588608,0.00028605512,0.007409943,0.00010004853,0.00025701604],"about_ca_topic_score_codex":0.005802468,"about_ca_topic_score_gemma":0.00009748214,"teacher_disagreement_score":0.2505591,"about_ca_system_score_codex":0.00003125812,"about_ca_system_score_gemma":0.000008953108,"threshold_uncertainty_score":0.87716347},"labels":[],"label_agreement":null},{"id":"W4396669819","doi":"10.1016/j.scs.2024.105485","title":"BM-RCWTSG: An integrated matching framework for electric vehicle ride-hailing services under stochastic guidance","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Matching (statistics); Key (lock); Service (business); Computer science; Operations research; Idle; Electric vehicle; Probabilistic logic; Transport engineering; Engineering; Business; Computer security; Artificial intelligence; Marketing","score_opus":0.007172209278585289,"score_gpt":0.2460840028183503,"score_spread":0.23891179353976502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396669819","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":[0.5370325,0.001513799,0.46036816,0.00017479675,0.00013138674,0.00021675957,0.000024804083,0.00046863983,0.00006915688],"genre_scores_gemma":[0.9956258,0.00008672128,0.0032088172,0.00024386588,0.00008813996,0.00008947839,0.000062102015,0.000036466186,0.0005586426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919367,0.0000072456005,0.00019780168,0.00018593343,0.000083256054,0.000332118],"domain_scores_gemma":[0.9995562,0.00012439245,0.000014585,0.000110854766,0.00014323226,0.00005074568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001949515,0.00013751452,0.00012703071,0.000050028862,0.00026997007,0.00023200715,0.00007282758,0.00011231572,0.000018218343],"category_scores_gemma":[0.000008242663,0.00013877844,0.00007336065,0.00042739854,0.000032368403,0.0003539972,0.00000755314,0.00022833694,8.728771e-7],"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":[0.000008874666,0.000019450697,0.000058115093,0.0036689308,0.00012722997,0.0000024454046,0.026039734,0.23841223,0.00091654144,0.72822237,0.00040183333,0.0021222387],"study_design_scores_gemma":[0.0002359449,0.00005504154,0.0015897184,0.0002101618,0.00006094337,0.0000020284765,0.2694607,0.5670591,0.0002498123,0.15644102,0.0042761215,0.0003593927],"about_ca_topic_score_codex":0.00018490935,"about_ca_topic_score_gemma":0.00003122375,"teacher_disagreement_score":0.57178134,"about_ca_system_score_codex":0.00011684454,"about_ca_system_score_gemma":0.0000697361,"threshold_uncertainty_score":0.5659221},"labels":[],"label_agreement":null},{"id":"W4399028887","doi":"10.1016/j.scs.2024.105552","title":"Novel energy management options for charging stations of electric vehicles in buildings without increasing peak demand for sustainable cities","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Energy demand; Peak demand; Sustainable energy; Energy management; Demand management; Energy (signal processing); Environmental science; Environmental economics; Business; Transport engineering; Engineering; Renewable energy; Electricity; Economics; Electrical engineering","score_opus":0.004413342564858049,"score_gpt":0.21019197684960228,"score_spread":0.20577863428474424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399028887","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":[0.72078466,0.013203693,0.26324007,0.0001760541,0.00006345161,0.00093805796,0.000054397184,0.00023610928,0.0013035191],"genre_scores_gemma":[0.98249227,0.0023461827,0.009885834,0.000048651913,0.00008951056,0.0003125545,0.000033738612,0.00005516684,0.004736116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986935,0.000011328898,0.00028099288,0.00022520719,0.00010934751,0.0006795876],"domain_scores_gemma":[0.9994432,0.00018640707,0.00003519388,0.00009691394,0.00018816057,0.000050151186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040960632,0.00019270382,0.00025275894,0.00022640561,0.0003361426,0.00020393453,0.000093633,0.00010352197,0.000004186334],"category_scores_gemma":[0.00002407504,0.00019930412,0.00013736435,0.0005169149,0.0000565912,0.00039755245,0.00004773296,0.00012444536,2.9823525e-8],"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":[0.000027999176,0.00001890024,0.0002447625,0.00923376,0.00024232213,0.0000051989923,0.0050195213,0.013995536,0.0024079694,0.96200913,0.003264489,0.0035304378],"study_design_scores_gemma":[0.0019556242,0.00021674551,0.002839031,0.00038092054,0.00023593137,0.000026282489,0.2290814,0.5829932,0.0031922108,0.11864497,0.059650756,0.0007828966],"about_ca_topic_score_codex":0.00037256503,"about_ca_topic_score_gemma":0.000006082071,"teacher_disagreement_score":0.8433641,"about_ca_system_score_codex":0.00032410285,"about_ca_system_score_gemma":0.00008122244,"threshold_uncertainty_score":0.81273866},"labels":[],"label_agreement":null},{"id":"W4399564601","doi":"10.1016/j.scs.2024.105553","title":"A cloud-oriented data-analysis framework to analyze peak demand dynamics in institutional building clusters","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"BC Hydro (Canada); University of British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Dynamics (music); Computer science; Data science; Econometrics; Regional science; Economics; Geography; Sociology","score_opus":0.012144687875850482,"score_gpt":0.30286752788423027,"score_spread":0.2907228400083798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399564601","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":[0.29701456,0.0010726984,0.6932361,0.004766046,0.0003438506,0.00032203045,0.00017375329,0.00017173646,0.0028992095],"genre_scores_gemma":[0.9848818,0.0003309896,0.010681611,0.00039442853,0.00012701159,0.000012135511,0.00029902437,0.000007703252,0.0032652877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99882054,0.00006183138,0.00019982745,0.00032877154,0.00026628166,0.00032274929],"domain_scores_gemma":[0.99943024,0.00015948956,0.000028430073,0.00014602531,0.00013716791,0.000098676894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010088924,0.00009313102,0.00016914566,0.00016419611,0.00069589866,0.00029276824,0.00014817009,0.00012080746,0.000040504874],"category_scores_gemma":[0.00017885907,0.00009550893,0.00009627242,0.0018970642,0.00017554336,0.00041479076,0.000051177507,0.00016909119,7.540128e-7],"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":[0.000012063112,0.000013533225,0.010073545,0.000125133,0.0002999773,0.00002603335,0.074314,0.08909165,1.6030928e-7,0.823934,0.0018714493,0.00023840735],"study_design_scores_gemma":[0.00014670668,0.000018845787,0.0055888337,0.0000797767,0.00042634728,4.6569133e-7,0.58907825,0.3470464,3.0808462e-7,0.0068441434,0.0505127,0.00025721005],"about_ca_topic_score_codex":0.0039125215,"about_ca_topic_score_gemma":0.0027798917,"teacher_disagreement_score":0.8170899,"about_ca_system_score_codex":0.00042843694,"about_ca_system_score_gemma":0.00029840638,"threshold_uncertainty_score":0.59145886},"labels":[],"label_agreement":null},{"id":"W4400251656","doi":"10.1016/j.scs.2024.105614","title":"Impacts of coordinated development policies on urban heat islands in the Beijing-Tianjin-Hebei urban agglomeration, China","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Urban heat island; Beijing; Urban agglomeration; Urbanization; Impervious surface; China; Urban planning; Geography; Urban climate; Environmental science; Population; Physical geography; Economic geography; Meteorology; Economic growth; Civil engineering","score_opus":0.0044678999941538435,"score_gpt":0.21109967535238125,"score_spread":0.2066317753582274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400251656","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":[0.9909546,0.00077614817,0.00005214155,0.0010862831,0.00005685052,0.00030578466,0.000009291935,0.00003532492,0.006723601],"genre_scores_gemma":[0.994385,0.00012257227,0.000053739004,0.000369143,0.000054108634,0.000029741741,0.000031645406,0.000012734849,0.00494129],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99887174,0.000056859277,0.00022976701,0.00021993666,0.0002451183,0.00037657862],"domain_scores_gemma":[0.9996826,0.00008655435,0.000026446802,0.00014022946,0.00001692609,0.000047236084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005008458,0.0001531992,0.00014928832,0.00003541064,0.00030114513,0.00013755611,0.00011885336,0.00008000457,0.00010891027],"category_scores_gemma":[0.000030415225,0.00010756569,0.00006363857,0.00041466695,0.0002083823,0.00024211583,0.00007711132,0.0001600823,0.000005429302],"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":[0.000028501574,0.00011572811,0.23406842,0.0006080256,0.00007349963,0.000025244195,0.46508962,0.000355688,0.0006498673,0.0143503295,0.28367475,0.000960319],"study_design_scores_gemma":[0.00088731665,0.00040313764,0.73448586,0.00023385599,0.00004166081,0.0000149596,0.17600526,0.0024690758,0.0025040603,0.0030456143,0.079367846,0.00054136314],"about_ca_topic_score_codex":0.0014925197,"about_ca_topic_score_gemma":0.00010482758,"teacher_disagreement_score":0.5004174,"about_ca_system_score_codex":0.00038034792,"about_ca_system_score_gemma":0.00008027856,"threshold_uncertainty_score":0.43864018},"labels":[],"label_agreement":null},{"id":"W4400618058","doi":"10.1016/j.scs.2024.105664","title":"An integrated price- and incentive-based demand response program for smart residential buildings: A robust multi-objective model","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alterra Power (Canada)","funders":"Iran National Science Foundation","keywords":"Demand response; Incentive; Architectural engineering; Computer science; Business; Engineering; Economics; Microeconomics; Electrical engineering","score_opus":0.008922973927154038,"score_gpt":0.23885967916062906,"score_spread":0.229936705233475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400618058","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":[0.4533558,0.0013202786,0.5432628,0.00010152243,0.00014593646,0.0009358618,0.000029191526,0.0007442436,0.00010438628],"genre_scores_gemma":[0.95399547,0.00027613816,0.042244438,0.0000762152,0.00008612093,0.0006546227,0.000040812927,0.00008188185,0.0025443183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877936,0.000045778736,0.00018257633,0.0003646616,0.00012455284,0.0005030969],"domain_scores_gemma":[0.99945617,0.00011659044,0.000019253308,0.00015070927,0.00015443531,0.000102834965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006028482,0.00023586817,0.00020016906,0.00010198327,0.00030205565,0.00049490813,0.00009058868,0.00012606246,0.0000044373755],"category_scores_gemma":[0.000043086708,0.00022944732,0.00010097735,0.00025752615,0.00015384435,0.00040419013,0.00006706381,0.00016950001,1.902445e-7],"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":[0.0003568785,0.00008221115,0.0001827952,0.0028265708,0.00036559883,0.000031578442,0.010692245,0.9682166,0.00030118274,0.005848138,0.009168214,0.0019280113],"study_design_scores_gemma":[0.0007380402,0.00017084183,0.00060952624,0.000078355115,0.0000636155,9.880472e-7,0.03256801,0.95154744,0.00028912775,0.00047140673,0.013193085,0.00026957036],"about_ca_topic_score_codex":0.00013161104,"about_ca_topic_score_gemma":0.00001912397,"teacher_disagreement_score":0.50101835,"about_ca_system_score_codex":0.00033855182,"about_ca_system_score_gemma":0.0001232144,"threshold_uncertainty_score":0.93565905},"labels":[],"label_agreement":null},{"id":"W4401933558","doi":"10.1016/j.scs.2024.105773","title":"High-resolution regional climate–CFD integrated modelling to inform climate responsive design of northern buildings in a changing climate","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Wind and Air Flow Studies","field":"Environmental Science","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":"McGill University; Wind Energy Institute of Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Environmental science; Climate model; Computational fluid dynamics; Climate change; Climatology; Environmental resource management; Engineering; Geology; Aerospace engineering; Oceanography","score_opus":0.012588084059245146,"score_gpt":0.22155207084384598,"score_spread":0.20896398678460085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401933558","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":[0.9859906,0.00067357963,0.011374407,0.0008095108,0.00007021147,0.00042423408,0.000037310685,0.00008246979,0.00053770625],"genre_scores_gemma":[0.99144024,0.0024950937,0.0049374304,0.00025310536,0.000041637068,0.000058453905,0.000013437213,0.000023605697,0.00073697354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982496,0.000034954577,0.00028690818,0.0003037091,0.00022436843,0.0009004546],"domain_scores_gemma":[0.9996251,0.00010710388,0.000052963755,0.00010096338,0.000048447295,0.000065440785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009863074,0.00018695027,0.00024297331,0.00012489677,0.000543707,0.00008721166,0.00010141147,0.00008722817,0.000033578002],"category_scores_gemma":[0.000021009446,0.00016178071,0.00009386887,0.0008950849,0.0002036091,0.00037206727,0.00044126427,0.00016348668,0.000008969228],"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":[0.0005268237,0.00006513572,0.004724521,0.0015816927,0.00008733535,0.00007752668,0.1260366,0.79478365,0.00071258633,0.06432056,0.002966918,0.0041166334],"study_design_scores_gemma":[0.00067606574,0.00033435613,0.0021695888,0.0007812409,0.00004950505,0.0000106280495,0.45310032,0.5208524,0.00029588625,0.0041538407,0.016905421,0.0006707851],"about_ca_topic_score_codex":0.00076618104,"about_ca_topic_score_gemma":0.000042738913,"teacher_disagreement_score":0.3270637,"about_ca_system_score_codex":0.00040905262,"about_ca_system_score_gemma":0.000035969464,"threshold_uncertainty_score":0.6597226},"labels":[],"label_agreement":null},{"id":"W4402404121","doi":"10.1016/j.scs.2024.105785","title":"Multi-region models built with machine and deep learning for predicting several heat-related health outcomes","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Deutscher Akademischer Austauschdienst; Canadian Institutes of Health Research; Institut National de Santé Publique du Québec","keywords":"Artificial intelligence; Deep learning; Computer science; Machine learning; Engineering","score_opus":0.02776398850915947,"score_gpt":0.287709805695971,"score_spread":0.25994581718681153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402404121","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":[0.96753573,0.0078586405,0.016110197,0.0066089993,0.00007844823,0.0010272242,0.000016833115,0.00023345485,0.00053049735],"genre_scores_gemma":[0.9886998,0.002825391,0.0014635723,0.0008508484,0.000028416229,0.00004297074,0.000024320363,0.000029299259,0.006035391],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881834,0.000026439493,0.00016549011,0.0002810608,0.00011952434,0.0005891562],"domain_scores_gemma":[0.9996097,0.000096077456,0.00003487681,0.00006896718,0.000014100237,0.00017629251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003627007,0.00015125306,0.0002030099,0.000018336827,0.0008122522,0.00012187653,0.0000397471,0.00007467261,0.000025495807],"category_scores_gemma":[0.000015509708,0.00011479684,0.000052473242,0.000109658766,0.00014264537,0.00038420752,0.00010823337,0.00020064307,5.81677e-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":[0.0001683398,0.0001453144,0.40226883,0.011295829,0.0002643078,0.00008846868,0.4644354,0.07758873,0.000025455407,0.0049155,0.009172314,0.029631495],"study_design_scores_gemma":[0.00089609646,0.00035491478,0.019178515,0.00011253329,0.00002232614,0.00002975946,0.08312111,0.89162415,0.0000010543205,0.0018231584,0.0026390874,0.00019727655],"about_ca_topic_score_codex":0.0036205847,"about_ca_topic_score_gemma":0.00018301434,"teacher_disagreement_score":0.8140354,"about_ca_system_score_codex":0.00026668957,"about_ca_system_score_gemma":0.000033624907,"threshold_uncertainty_score":0.62472695},"labels":[],"label_agreement":null},{"id":"W4402511722","doi":"10.1016/j.scs.2024.105813","title":"Energy storage enabling renewable energy communities: An urban context-aware approach and case study using agent-based modeling and optimization","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Khalifa University of Science, Technology and Research","keywords":"Renewable energy; Context (archaeology); Environmental science; Energy storage; Environmental economics; Energy (signal processing); Computer science; Civil engineering; Architectural engineering; Environmental resource management; Engineering; Economics; Geography; Power (physics)","score_opus":0.020390810894999774,"score_gpt":0.21948733502001377,"score_spread":0.199096524125014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402511722","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":[0.39104816,0.0052165086,0.60303783,0.000006217975,0.00009104998,0.00013188583,0.0000064777046,0.00028291732,0.00017893416],"genre_scores_gemma":[0.99617577,0.00079063734,0.001965126,0.0000959563,0.00012008233,0.00006267607,0.00005351921,0.00008277755,0.0006534577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987867,0.00008954301,0.00023964475,0.0003004661,0.00014895393,0.00043472063],"domain_scores_gemma":[0.9994562,0.00005889624,0.000023305,0.00024965647,0.00008938924,0.00012250997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034144506,0.00028659953,0.00026639662,0.00013570275,0.0007196754,0.0006030852,0.0000789688,0.00011172449,0.0000073440697],"category_scores_gemma":[0.0000023984283,0.00030860977,0.000051503812,0.00023371748,0.00009871972,0.0005652308,0.0001590253,0.0001398654,1.2226134e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004433358,0.000031370404,0.00006259491,0.000753481,0.00014557748,0.00021508735,0.021084165,0.9761037,0.0000028039497,0.0010417136,0.00023698491,0.0003180825],"study_design_scores_gemma":[0.00026631786,0.00004170634,4.607069e-7,0.000029622222,0.000056925273,0.000034922687,0.4210075,0.5776331,0.000005191538,0.00003867961,0.00068994745,0.00019563129],"about_ca_topic_score_codex":0.033669382,"about_ca_topic_score_gemma":0.00036384384,"teacher_disagreement_score":0.6051276,"about_ca_system_score_codex":0.00023972851,"about_ca_system_score_gemma":0.000051182364,"threshold_uncertainty_score":0.9999366},"labels":[],"label_agreement":null},{"id":"W4402905447","doi":"10.1016/j.scs.2024.105857","title":"Optimal representation of tree foliage for local urban climate modeling","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":19,"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 de Sherbrooke","funders":"Canada Research Chairs","keywords":"Tree (set theory); Representation (politics); Geography; Environmental science; Mathematics; Combinatorics; Political science","score_opus":0.010139960034722478,"score_gpt":0.23938950042626914,"score_spread":0.22924954039154666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402905447","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":[0.84980404,0.0005972068,0.14429995,0.00017304187,0.00006340275,0.00036870711,0.000023682682,0.000056608773,0.004613357],"genre_scores_gemma":[0.9934888,0.00018071325,0.0022611967,0.000036160636,0.000045008033,0.000040742227,0.000021244854,0.000011745513,0.003914404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930376,0.000011145461,0.00013736593,0.0001882789,0.00010928012,0.00025016267],"domain_scores_gemma":[0.99980164,0.000050225655,0.000017966844,0.00007857631,0.000017528451,0.000034081575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019236731,0.0000720871,0.00009727841,0.00001135256,0.00015054054,0.000049080107,0.00004260222,0.000053822303,0.000056285407],"category_scores_gemma":[0.000010686386,0.00006671875,0.00009861939,0.00010808579,0.00013824303,0.0002820921,0.00007525747,0.000049258626,0.0000015749226],"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":[0.0002193178,0.00014433624,0.017258225,0.006619747,0.00026381112,0.000037644255,0.15379046,0.42371267,0.0031368553,0.20649178,0.1533197,0.03500544],"study_design_scores_gemma":[0.00022472747,0.000071369526,0.00035848646,0.000022363318,0.000031264568,0.0000017973497,0.066359326,0.92482805,0.00064148207,0.0049697827,0.002388746,0.00010258056],"about_ca_topic_score_codex":0.00034876802,"about_ca_topic_score_gemma":0.0000066850844,"teacher_disagreement_score":0.5011154,"about_ca_system_score_codex":0.00012633795,"about_ca_system_score_gemma":0.000016319242,"threshold_uncertainty_score":0.27207115},"labels":[],"label_agreement":null},{"id":"W4403016044","doi":"10.1016/j.scs.2024.105872","title":"Evaluation of pedestrian thermal comfort from a whole-trip perspective: An outdoor empirical study","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"China Scholarship Council; Natural Science Foundation of Guangdong Province","keywords":"Pedestrian; Perspective (graphical); Architectural engineering; Thermal comfort; Transport engineering; Environmental science; Computer science; Engineering; Simulation; Civil engineering; Geography; Meteorology; Artificial intelligence","score_opus":0.027770533191038997,"score_gpt":0.319146402068208,"score_spread":0.291375868877169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403016044","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":[0.9951281,0.0005853773,0.000055133656,0.00026352485,0.00005356476,0.0005513686,0.000022388725,0.00004168973,0.0032988864],"genre_scores_gemma":[0.99802446,0.000014265374,0.00007371743,0.000050362116,0.00008576559,0.0000418364,0.000017410222,0.0000118753605,0.0016802927],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9986144,0.00016186612,0.00015083619,0.0002937325,0.0005473833,0.00023180271],"domain_scores_gemma":[0.99962753,0.00005364527,0.000027492393,0.00014978528,0.000075223616,0.00006630029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012069072,0.00010654008,0.0001303954,0.000015702783,0.0001870326,0.000095880336,0.00007913592,0.00006665218,0.00053991284],"category_scores_gemma":[0.00003620838,0.00009092699,0.00007137368,0.00016390019,0.0001891362,0.00039952414,0.00009123473,0.00011506465,0.0000052639507],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047876045,0.0006259109,0.5125421,0.00013008801,0.00029864145,0.000025313222,0.46078146,0.0009815075,0.0013280949,0.00094337924,0.012295919,0.009999698],"study_design_scores_gemma":[0.00068966654,0.00031818644,0.3455023,0.000010245538,0.00021610364,9.630112e-7,0.61985034,0.021202236,0.00006941171,0.01057295,0.0014166791,0.00015096006],"about_ca_topic_score_codex":0.007723122,"about_ca_topic_score_gemma":0.00018139448,"teacher_disagreement_score":0.16703981,"about_ca_system_score_codex":0.000605258,"about_ca_system_score_gemma":0.00012758547,"threshold_uncertainty_score":0.99888456},"labels":[],"label_agreement":null},{"id":"W4403343166","doi":"10.1016/j.scs.2024.105888","title":"Bridging smart technologies and healthy cities: A scoping review using WHO's 6P framework","year":2024,"lang":"en","type":"review","venue":"Sustainable Cities and Society","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Social Innovation","funders":"","keywords":"Bridging (networking); Architectural engineering; Computer science; Geography; Engineering; Computer security","score_opus":0.02720802017593485,"score_gpt":0.30755071750329877,"score_spread":0.28034269732736394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403343166","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":[0.000059190934,0.9937888,0.00082394027,0.00023154303,0.00036561358,0.0015975663,0.00004641508,0.0026970832,0.00038984435],"genre_scores_gemma":[0.000023809063,0.99710065,0.0013618588,0.00020131693,0.00016006113,0.00034265264,0.000017928376,0.00017249351,0.00061920437],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99713796,0.00004011093,0.00079307775,0.0006510537,0.00023123273,0.0011465428],"domain_scores_gemma":[0.99887073,0.00025439577,0.00015232929,0.0005511053,0.00008808177,0.000083345345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048319696,0.000846674,0.0024260108,0.00023607453,0.0005877798,0.0004982052,0.0003248134,0.000996867,0.0000144855685],"category_scores_gemma":[0.00017558412,0.00073919335,0.00056832156,0.00081349595,0.00062721886,0.0002722237,0.0008016675,0.0014604019,0.0000022214347],"study_design_candidate":"systematic_review","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":[4.513903e-7,0.0000022793126,0.0000021549458,0.73235637,0.00024803984,0.000037353897,0.000502328,0.0000041092453,1.0633097e-8,0.008572546,0.0074483333,0.250826],"study_design_scores_gemma":[0.0000591503,0.00004012583,1.5792376e-7,0.43515542,0.0007632673,0.00010515595,0.03683688,0.00055113935,3.1766464e-7,0.0034826153,0.5222227,0.0007830384],"about_ca_topic_score_codex":0.00008928208,"about_ca_topic_score_gemma":0.0000035118064,"teacher_disagreement_score":0.5147744,"about_ca_system_score_codex":0.00049372204,"about_ca_system_score_gemma":0.0003340517,"threshold_uncertainty_score":0.99950594},"labels":[],"label_agreement":null},{"id":"W4403352883","doi":"10.1016/j.scs.2024.105899","title":"A new integrated system for carbon capture and clean hydrogen production for sustainable societal utilization","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Production (economics); Hydrogen production; Environmental science; Sustainable production; Carbon fibers; Waste management; Natural resource economics; Business; Engineering; Hydrogen; Computer science; Economics; Chemistry","score_opus":0.008021093399849423,"score_gpt":0.2134828800767512,"score_spread":0.2054617866769018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403352883","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":[0.9437596,0.031594235,0.018606879,0.0004696401,0.0002778833,0.0017445075,0.000032201417,0.001538749,0.0019762954],"genre_scores_gemma":[0.9873344,0.00029571462,0.0003348921,0.000013543538,0.0002621287,0.00011466109,0.00006251976,0.000047062567,0.011535086],"study_design_codex":"systematic_review","study_design_gemma":"qualitative","domain_scores_codex":[0.9991657,0.000004471933,0.0001371992,0.00025001107,0.00006544216,0.00037715683],"domain_scores_gemma":[0.99960804,0.000057257297,0.000014635601,0.0000704065,0.00017446227,0.00007516889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014883846,0.00016128524,0.00017253443,0.000021248685,0.0001759179,0.00015510686,0.000042910455,0.00016026518,0.0000016522955],"category_scores_gemma":[0.000057054764,0.00014800075,0.00009320996,0.00017758648,0.00005636473,0.00016263194,0.00002670055,0.00011640488,5.7807963e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027042325,0.000066324224,0.00007224314,0.35874078,0.0017866798,0.000030737618,0.06795867,0.0040863943,0.05682331,0.30482325,0.17712103,0.028220158],"study_design_scores_gemma":[0.0009348077,0.00011404438,0.0000052880546,0.0005249239,0.00027479517,0.000029355788,0.552551,0.21918397,0.12114703,0.029053196,0.07543312,0.0007485066],"about_ca_topic_score_codex":0.00014591787,"about_ca_topic_score_gemma":0.0000011989716,"teacher_disagreement_score":0.4845923,"about_ca_system_score_codex":0.00024517134,"about_ca_system_score_gemma":0.00009373341,"threshold_uncertainty_score":0.6035295},"labels":[],"label_agreement":null},{"id":"W4403538989","doi":"10.1016/j.scs.2024.105916","title":"Tracking the impact of the land cover change on the spatial-temporal distribution of the thermal comfort: Insights from the Qinhuai River Basin, China","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"China; Land cover; Cover (algebra); Environmental science; Spatial distribution; Structural basin; Thermal comfort; Tracking (education); Water resource management; Land use; Geography; Environmental resource management; Physical geography; Hydrology (agriculture); Remote sensing; Civil engineering; Meteorology; Geology; Engineering; Geomorphology; Geotechnical engineering","score_opus":0.009295601529072405,"score_gpt":0.20731675263295507,"score_spread":0.19802115110388266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403538989","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":[0.99552774,0.0004268001,0.000040573093,0.0023353542,0.000100441626,0.00055936386,0.00016358747,0.000009775277,0.0008363535],"genre_scores_gemma":[0.99877393,0.000078459896,9.543976e-7,0.00027935707,0.000111715875,0.000021826607,0.000020403279,0.000009427023,0.00070392556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904245,0.00017524033,0.00014458678,0.00014330857,0.00028911128,0.0002052772],"domain_scores_gemma":[0.999314,0.0002561005,0.00008588949,0.00030780837,0.000017893028,0.000018274946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003195276,0.00012854017,0.000110283836,0.0000028878635,0.000710497,0.00008439701,0.0002800179,0.00006482756,0.00015850541],"category_scores_gemma":[0.000028469145,0.00004163659,0.00024837017,0.00019057194,0.00084470154,0.00017293498,0.00021697965,0.00023191517,0.0000015672772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045380773,0.00006923453,0.8225241,0.000086852575,0.00019497931,0.0000022925335,0.1334608,0.0012799929,0.0002753557,0.0067938697,0.033397503,0.0018696609],"study_design_scores_gemma":[0.00013360789,0.0000432247,0.9818031,0.00005033683,0.00003877171,9.086184e-7,0.0066755842,0.0032358249,0.00039301242,0.0042490507,0.003308588,0.0000679577],"about_ca_topic_score_codex":0.03182106,"about_ca_topic_score_gemma":0.00019087257,"teacher_disagreement_score":0.15927905,"about_ca_system_score_codex":0.00018729026,"about_ca_system_score_gemma":0.00004559474,"threshold_uncertainty_score":0.9746261},"labels":[],"label_agreement":null},{"id":"W4403837992","doi":"10.1016/j.scs.2024.105907","title":"Projected risk and vulnerability to heat waves for Montreal, Quebec, using Gaussian processes","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":7,"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 Ottawa; Health Canada; Bishop's University; Université de Sherbrooke","funders":"","keywords":"Heat wave; Vulnerability (computing); Environmental science; Meteorology; Climatology; Gaussian; Geography; Geology; Physics; Computer science; Climate change; Oceanography; Computer security","score_opus":0.024673921422714067,"score_gpt":0.3015052639743581,"score_spread":0.27683134255164404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403837992","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":[0.994565,0.0018294633,0.00047712523,0.0014806717,0.000039310442,0.0008689344,0.0000718521,0.00009242188,0.0005751916],"genre_scores_gemma":[0.9914763,0.0018957214,0.0010154328,0.00057275314,0.0001224093,0.000110808716,0.000010969819,0.000023646484,0.0047719805],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99889904,0.000023547578,0.00013561599,0.00032746902,0.00010377563,0.0005105204],"domain_scores_gemma":[0.9995472,0.00012908282,0.00001694286,0.00009645234,0.000030045232,0.00018032047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034180467,0.00013473374,0.00015619352,0.00001831413,0.0006581382,0.00023621634,0.00004419566,0.00007356553,0.000058481026],"category_scores_gemma":[0.00011198786,0.00010840757,0.000040605777,0.00023742794,0.0001710825,0.00031713845,0.00012573917,0.00009381641,0.0000010494706],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030839964,0.00022208168,0.09750408,0.044772778,0.00013916935,0.00005106888,0.5605124,0.00091199466,0.001220513,0.0020835435,0.23539716,0.056876805],"study_design_scores_gemma":[0.001284713,0.00087959785,0.16270114,0.00054866,0.00022025962,0.000030987547,0.6389802,0.047618758,0.0005349543,0.024907505,0.1210339,0.001259298],"about_ca_topic_score_codex":0.053135674,"about_ca_topic_score_gemma":0.006334156,"teacher_disagreement_score":0.11436327,"about_ca_system_score_codex":0.00031395897,"about_ca_system_score_gemma":0.000094698735,"threshold_uncertainty_score":0.9531696},"labels":[],"label_agreement":null},{"id":"W4404094709","doi":"10.1016/j.scs.2024.105946","title":"Sustainable urban digital innovation: A socio-technical competency-based approach to evaluation","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"Ove Arup Foundation","keywords":"Business; Engineering management; Sustainable development; Environmental planning; Architectural engineering; Engineering; Geography; Political science","score_opus":0.012349185573651292,"score_gpt":0.22570116358768147,"score_spread":0.21335197801403016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404094709","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":[0.57816553,0.014182225,0.13071619,0.004914938,0.0007316462,0.0040206085,0.000114857176,0.010262489,0.2568915],"genre_scores_gemma":[0.99073356,0.00005726613,0.0021181777,0.00016783447,0.00014272708,0.00032911325,0.00009061736,0.000047171707,0.0063135386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99849206,0.000011340181,0.00025388863,0.00030257166,0.00030780086,0.00063235295],"domain_scores_gemma":[0.999262,0.00007334641,0.000016290303,0.0002253537,0.00036760405,0.000055432356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047593314,0.00022526874,0.00021283049,0.00017123071,0.0003244324,0.00069893803,0.0001536968,0.00021116751,0.00002879598],"category_scores_gemma":[0.00008465092,0.00021828951,0.00011420438,0.0011100787,0.00018366387,0.00047377567,0.00014033006,0.00027824336,0.000003994518],"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":[0.0000043209793,0.000023012071,0.00016597832,0.0019005747,0.00006879387,0.000013079225,0.0029697756,0.005321687,0.00002171066,0.8782918,0.10912997,0.0020893],"study_design_scores_gemma":[0.00057896116,0.00016827117,0.0004969049,0.00008639842,0.00007143365,0.000014947245,0.43200582,0.192563,0.0001452038,0.09078901,0.28229538,0.0007846589],"about_ca_topic_score_codex":0.00002976574,"about_ca_topic_score_gemma":4.7796254e-7,"teacher_disagreement_score":0.78750277,"about_ca_system_score_codex":0.00058440585,"about_ca_system_score_gemma":0.00032985717,"threshold_uncertainty_score":0.8901588},"labels":[],"label_agreement":null},{"id":"W4404436507","doi":"10.1016/j.scs.2024.105996","title":"Coupling dynamics of urban flood resilience in china from 2012 to 2022: A network-based approach","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":28,"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 British Columbia","funders":"National Natural Science Foundation of China","keywords":"Flood myth; Resilience (materials science); China; Coupling (piping); Dynamics (music); Civil engineering; Environmental science; Physics; Engineering; Geography; Mechanical engineering","score_opus":0.0030363743162978157,"score_gpt":0.20164133424096084,"score_spread":0.19860495992466304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404436507","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":[0.9590221,0.00198474,0.030228252,0.000516816,0.00012102576,0.0005546498,0.000020573825,0.000056651592,0.007495187],"genre_scores_gemma":[0.9871495,0.00022851884,0.0041537653,0.00010245933,0.000049288075,0.000043629814,0.000027251828,0.000013887333,0.00823173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988612,0.000016370752,0.00017048453,0.00032211983,0.00022016026,0.00040970056],"domain_scores_gemma":[0.99970174,0.000040222487,0.000027071277,0.0001599705,0.000006897927,0.000064073916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004261879,0.00012583082,0.00015827629,0.000025837475,0.00013631323,0.00008182498,0.00015112,0.000060006885,0.00017636611],"category_scores_gemma":[0.0000059427803,0.00011631418,0.000069030604,0.00045590865,0.00013617436,0.00023130803,0.0002977656,0.0001404573,0.000002444166],"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":[0.000026807218,0.00012242995,0.06837629,0.000657505,0.00005156066,0.000023350729,0.01025454,0.84047663,0.000039278002,0.022194803,0.056059714,0.0017170837],"study_design_scores_gemma":[0.00023181528,0.00006345883,0.030401796,0.00005011806,0.000021886166,1.4232918e-7,0.038071755,0.9223664,0.000010883232,0.0024219067,0.0061686896,0.0001911687],"about_ca_topic_score_codex":0.00407557,"about_ca_topic_score_gemma":0.00025697966,"teacher_disagreement_score":0.08188974,"about_ca_system_score_codex":0.00029426304,"about_ca_system_score_gemma":0.000033544897,"threshold_uncertainty_score":0.616107},"labels":[],"label_agreement":null},{"id":"W4404908091","doi":"10.1016/j.scs.2024.106019","title":"Observed determinants of urban outdoor thermal exposure during hot summer and snowy winter periods in a humid continental climate","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":9,"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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph; National Science Foundation","keywords":"Environmental science; Climatology; Climate change; Urban climate; Atmospheric sciences; Meteorology; Geography; Physical geography; Urban planning; Geology; Oceanography; Engineering","score_opus":0.00964801060081915,"score_gpt":0.21646428647418078,"score_spread":0.20681627587336163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404908091","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":[0.997809,0.0011207962,0.0000018091696,0.00005373721,0.000044897573,0.00019021558,0.000015943968,0.000021154312,0.00074246334],"genre_scores_gemma":[0.9946787,0.00022080849,0.000052718857,0.000041255647,0.000029288089,0.000019820658,0.000004407759,0.000014372901,0.004938671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990885,0.000027962229,0.00019318065,0.00023113377,0.00010955698,0.00034963407],"domain_scores_gemma":[0.9998048,0.000025374933,0.000028880471,0.0000851848,0.000009125681,0.00004661773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019997358,0.0001225343,0.00016694487,0.000017469492,0.00013058017,0.00008636454,0.0000538477,0.000073139265,0.0002060749],"category_scores_gemma":[0.0000075450216,0.00010647677,0.0000688685,0.00008794885,0.0002728252,0.000354292,0.00018734277,0.00010298056,0.0000015452059],"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":[0.000026435846,0.000017170036,0.9660914,0.0006489686,0.000011406,0.00004021815,0.027677394,0.0000069201274,0.0046298667,0.000083194675,0.00048894325,0.0002780818],"study_design_scores_gemma":[0.0005516205,0.00008146953,0.933631,0.00010299839,0.000016016435,0.0000097532475,0.061329998,0.0008110481,0.0024757418,0.000050109553,0.0007756974,0.0001645217],"about_ca_topic_score_codex":0.00051403005,"about_ca_topic_score_gemma":0.00009048169,"teacher_disagreement_score":0.033652607,"about_ca_system_score_codex":0.00010404387,"about_ca_system_score_gemma":0.000012840271,"threshold_uncertainty_score":0.4341997},"labels":[],"label_agreement":null},{"id":"W4405024158","doi":"10.1016/j.scs.2024.106038","title":"Development of an optimization-driven equilibrium model for managing water consumption and their socio-economic effects","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water resources management and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Consumption (sociology); General equilibrium theory; Economics; Water consumption; Economic model; Natural resource economics; Environmental economics; Environmental science; Microeconomics; Environmental engineering; Sociology","score_opus":0.007443779454512885,"score_gpt":0.19689785950928904,"score_spread":0.18945408005477615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405024158","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":[0.58225036,0.00042799974,0.41668007,0.000031339434,0.00004403253,0.00028538296,0.0000041088724,0.00011639389,0.00016033412],"genre_scores_gemma":[0.96977687,0.0003168705,0.028339857,0.000018481518,0.000036134872,0.000064055675,0.00010491749,0.000034856777,0.0013079548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995221,0.0000054534953,0.000120652425,0.00012655144,0.00002866194,0.00019658316],"domain_scores_gemma":[0.9998765,0.000017325769,0.000009811663,0.000051173647,0.000017786673,0.000027379334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012285408,0.00010347888,0.00010781315,0.00003813325,0.00011321485,0.00013420831,0.000036425758,0.00004641629,0.000005678031],"category_scores_gemma":[5.5769317e-7,0.00008432565,0.000035936628,0.000014805415,0.00004109574,0.00031093843,0.00005439756,0.00003285186,2.8518676e-7],"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":[0.0000033075476,0.000002335927,0.000018809948,0.0037402038,0.00007804812,3.1727777e-7,0.03022706,0.96249443,0.00011125619,0.0019024898,0.0001292805,0.0012924748],"study_design_scores_gemma":[0.00019117075,0.000010686272,0.000008440981,0.000028411947,0.00001900552,2.6648456e-7,0.0107541615,0.98653483,0.00076876685,0.0011146261,0.00045453332,0.00011507613],"about_ca_topic_score_codex":0.0000024286455,"about_ca_topic_score_gemma":5.7200947e-7,"teacher_disagreement_score":0.3883402,"about_ca_system_score_codex":0.00007598914,"about_ca_system_score_gemma":0.000010383539,"threshold_uncertainty_score":0.34387004},"labels":[],"label_agreement":null},{"id":"W4405356786","doi":"10.1016/j.scs.2024.106050","title":"Housing Passport knowledge graph: Promoting a circular economy in urban residential buildings","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Circular economy; Architectural engineering; Business; Environmental planning; Geography; Civil engineering; Economic geography; Engineering; Ecology","score_opus":0.005304726337471532,"score_gpt":0.19880719456129048,"score_spread":0.19350246822381895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405356786","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":[0.9732006,0.01764579,0.00080947403,0.00015617195,0.00023218953,0.00023296261,0.000003372093,0.0010603644,0.0066590677],"genre_scores_gemma":[0.9976866,0.00095667364,0.00021504541,0.000021401589,0.00015883839,0.000051387953,0.0000045539014,0.00004502956,0.00086045446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891615,0.000008194671,0.00021806225,0.00025038517,0.00006185686,0.00054537965],"domain_scores_gemma":[0.99972624,0.000043211563,0.000014706149,0.00013382788,0.000040571005,0.000041471776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002864545,0.00018273479,0.00020977853,0.0001410238,0.00018695438,0.0003380337,0.00010371931,0.00016078372,0.000015454383],"category_scores_gemma":[0.000014061444,0.0001931257,0.0001371259,0.00036867207,0.00014053233,0.00036907895,0.00011603123,0.00029343428,0.0000012185525],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014215462,0.00009312812,0.044441488,0.04637321,0.0010568446,0.0013917909,0.2291642,0.0029807186,0.00070903834,0.5114056,0.14135398,0.02101577],"study_design_scores_gemma":[0.00068460504,0.00008098146,0.0028492373,0.00067324005,0.00007928677,0.000041526153,0.4233404,0.047243375,0.0013925645,0.071785554,0.4506851,0.0011441093],"about_ca_topic_score_codex":0.00021664196,"about_ca_topic_score_gemma":0.000011975023,"teacher_disagreement_score":0.43962005,"about_ca_system_score_codex":0.00022779485,"about_ca_system_score_gemma":0.00006322314,"threshold_uncertainty_score":0.7875438},"labels":[],"label_agreement":null},{"id":"W4405484879","doi":"10.1016/j.scs.2024.106040","title":"Enhancing efficiency through integration of geothermal and photovoltaic in heating systems of a greenhouse for sustainable agriculture","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":43,"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 Regina","funders":"Mitacs; Petroleum Technology Research Centre","keywords":"Photovoltaic system; Greenhouse; Sustainable agriculture; Geothermal gradient; Agriculture; Environmental science; Sustainable energy; Business; Environmental economics; Environmental engineering; Agricultural engineering; Natural resource economics; Engineering; Renewable energy; Economics; Geology; Geography; Electrical engineering; Agronomy","score_opus":0.007768727016394911,"score_gpt":0.21382455892840588,"score_spread":0.20605583191201096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405484879","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":[0.99213266,0.006670518,0.00023606645,0.000103524224,0.000021807413,0.0005679586,0.000016263353,0.000062334475,0.00018883547],"genre_scores_gemma":[0.9980585,0.00043923603,0.00007535866,0.000023521543,0.00003447435,0.00007641986,0.000009539074,0.0000019363008,0.0012810383],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.9990674,0.000027000702,0.00026474864,0.00021156007,0.00008146744,0.00034777855],"domain_scores_gemma":[0.99946946,0.00022593429,0.00007281104,0.000034956553,0.00017612471,0.000020712052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000416741,0.000121487305,0.0002567808,0.00001551293,0.0001991761,0.00006239644,0.000073923526,0.00017170729,0.000006601167],"category_scores_gemma":[0.000056828292,0.000053127857,0.00008692602,0.00031594254,0.00015761126,0.00023994433,0.000059698727,0.0001185897,5.518001e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012349023,0.00017680657,0.0058415984,0.010903681,0.0001326885,0.000034679728,0.03462262,0.0002019328,0.5998637,0.34105128,0.00062034104,0.006427203],"study_design_scores_gemma":[0.0005211224,0.00063952483,0.0073840385,0.00045278418,0.000052575673,0.0000127566145,0.95526034,0.0077455044,0.017778588,0.007984025,0.0018865999,0.00028213306],"about_ca_topic_score_codex":0.0056911283,"about_ca_topic_score_gemma":0.00028506332,"teacher_disagreement_score":0.9206377,"about_ca_system_score_codex":0.00004510389,"about_ca_system_score_gemma":0.000021697799,"threshold_uncertainty_score":0.86033213},"labels":[],"label_agreement":null},{"id":"W4405904998","doi":"10.1016/j.scs.2024.106119","title":"Thermal environment control units for multi-objective urban optimization in territorial spatial planning","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":12,"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":"South China University of Technology; National Natural Science Foundation of China","keywords":"Control (management); Environmental planning; Urban planning; Environmental science; Civil engineering; Environmental engineering; Computer science; Engineering; Artificial intelligence","score_opus":0.009134495115083562,"score_gpt":0.21590771877852308,"score_spread":0.2067732236634395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405904998","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":[0.67873025,0.0009742759,0.31556812,0.00032232451,0.00071658735,0.0020444824,0.000095201045,0.00012191737,0.001426802],"genre_scores_gemma":[0.9953802,0.000028836379,0.0016598597,0.0000683907,0.00030020054,0.00013244149,0.000034744575,0.000016598235,0.0023786903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992144,0.00003228398,0.0001259371,0.0002289835,0.000111956724,0.00028640288],"domain_scores_gemma":[0.9997984,0.000074273856,0.000020733301,0.000057699643,0.000009136953,0.00003971811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021321909,0.000107443,0.00010279448,0.00001734565,0.00018253246,0.000080732796,0.000044574605,0.0000884859,0.000093174414],"category_scores_gemma":[0.000019578747,0.00010035343,0.000043283006,0.00008017044,0.00011336527,0.00025813756,0.00004716676,0.000096304044,0.0000015487443],"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":[0.00019881228,0.00011213704,0.07409442,0.0004402211,0.00011615411,0.000040952687,0.1261839,0.7750722,0.00084325805,0.0021745432,0.016951885,0.0037715142],"study_design_scores_gemma":[0.0022438779,0.0001893791,0.017506327,0.000042030202,0.000037677935,0.0000012671538,0.038715158,0.92296606,0.00018515182,0.000352559,0.017469674,0.0002908152],"about_ca_topic_score_codex":0.0009934052,"about_ca_topic_score_gemma":0.000012884957,"teacher_disagreement_score":0.31664997,"about_ca_system_score_codex":0.00042723797,"about_ca_system_score_gemma":0.000031108957,"threshold_uncertainty_score":0.4092294},"labels":[],"label_agreement":null},{"id":"W4406185715","doi":"10.1016/j.scs.2025.106131","title":"Beyond density: Examining overlooked drivers of housing and neighborhood greenhouse gas emissions","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Environmental science; Natural resource economics; Business; Economics; Geology","score_opus":0.010115533374604429,"score_gpt":0.2533602460013102,"score_spread":0.24324471262670574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406185715","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":[0.9777334,0.00081955595,0.0002574013,0.0003397215,0.000060599374,0.00017510146,0.0000044444773,0.00005274823,0.020557059],"genre_scores_gemma":[0.9908667,0.00082127197,0.00022169847,0.00018188401,0.000040921124,0.0000032498676,0.0000026746145,0.000006617149,0.007854956],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99899924,0.00004885738,0.00017885589,0.00023437775,0.00017284349,0.00036584036],"domain_scores_gemma":[0.9994224,0.00013598632,0.000070152615,0.00012202651,0.00015274798,0.00009671188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004422758,0.00010977452,0.00022310011,0.00003808679,0.0012296486,0.000102082115,0.00009710065,0.00013111069,0.00003283273],"category_scores_gemma":[0.000070042224,0.00010841637,0.000077054785,0.0002823442,0.0008085599,0.00031848365,0.000089810244,0.00013101619,5.2776905e-8],"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":[0.000016897717,0.00004879966,0.7958697,0.00051906507,0.00008059435,0.000010807905,0.09696642,0.0000029571306,0.00009376944,0.100353174,0.0012494181,0.0047883554],"study_design_scores_gemma":[0.00064179115,0.000043679815,0.1365876,0.00008566631,0.00010773767,1.482572e-7,0.7918168,0.00010577494,0.00013835343,0.06671314,0.0035431928,0.00021615239],"about_ca_topic_score_codex":0.0037538593,"about_ca_topic_score_gemma":0.00035331788,"teacher_disagreement_score":0.6948503,"about_ca_system_score_codex":0.00008727027,"about_ca_system_score_gemma":0.00034206652,"threshold_uncertainty_score":0.94575876},"labels":[],"label_agreement":null},{"id":"W4406606691","doi":"10.1016/j.scs.2025.106156","title":"A new electro-biomembrane integrated renewable-based system to produce power, fresh water and hydrogen for sustainable communities","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":11,"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 Ontario Institute of Technology","funders":"","keywords":"Renewable energy; Environmental science; Environmental economics; Engineering; Electrical engineering; Economics","score_opus":0.004831959913379355,"score_gpt":0.21154036682136565,"score_spread":0.2067084069079863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406606691","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":[0.93648267,0.006333552,0.015146297,0.0034351728,0.0004181867,0.003864692,0.000045130335,0.0010416594,0.03323267],"genre_scores_gemma":[0.7216025,0.00005566001,0.0007753618,0.00059186725,0.000101546335,0.0003834678,0.00016601813,0.0000744296,0.27624917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99668574,0.00020301709,0.0005582593,0.0005936428,0.00025582942,0.0017035194],"domain_scores_gemma":[0.9978272,0.00022351506,0.00009262373,0.0006957562,0.0008629387,0.00029797488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010480592,0.00052694057,0.000774304,0.00029095536,0.0012468185,0.00057113054,0.00039250575,0.00028575814,0.00003875072],"category_scores_gemma":[0.00008445613,0.00043436233,0.00022375207,0.00070581713,0.00020238856,0.00033910587,0.00033875878,0.00022028534,0.0000014917101],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012085937,0.00019136808,0.00046995285,0.025960442,0.0017816046,0.00020267526,0.036381934,0.10075711,0.010585316,0.43326032,0.38822296,0.0009777376],"study_design_scores_gemma":[0.0018932531,0.00027444868,0.000008032061,0.00025210765,0.00009297205,0.000017129181,0.37349117,0.004953324,0.04045759,0.0020654178,0.5759637,0.00053088326],"about_ca_topic_score_codex":0.12723048,"about_ca_topic_score_gemma":0.000969266,"teacher_disagreement_score":0.4311949,"about_ca_system_score_codex":0.0008951535,"about_ca_system_score_gemma":0.0009084845,"threshold_uncertainty_score":0.9998108},"labels":[],"label_agreement":null},{"id":"W4408094703","doi":"10.1016/j.scs.2025.106267","title":"Perceiving the fine-scale urban poverty using street view images through a vision-language model","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"Social Science Foundation of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Scale (ratio); Poverty; Urban poverty; Computer vision; Computer science; Artificial intelligence; Geography; Cartography; Economics; Economic growth","score_opus":0.007300970329415799,"score_gpt":0.2640467857790999,"score_spread":0.2567458154496841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408094703","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":[0.97534966,0.0018436011,0.0036415132,0.0023597137,0.000041486892,0.00035134383,0.000012637313,0.000040833205,0.016359191],"genre_scores_gemma":[0.96546876,0.0009873429,0.001970611,0.003995953,0.000041783147,0.000010643522,0.0000044462945,0.000014711214,0.027505748],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.99866456,0.000044856162,0.00017872435,0.0002665235,0.00022616703,0.0006191492],"domain_scores_gemma":[0.99955684,0.000057481604,0.000054294567,0.00025577983,0.0000075567386,0.00006802717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040269762,0.0001753877,0.00018611377,0.000009653315,0.0011255117,0.00011390278,0.00018241444,0.00008077808,0.0003475023],"category_scores_gemma":[0.000014306313,0.000121071076,0.000118854376,0.00015338913,0.00038457304,0.00047423402,0.00040037953,0.00018590827,0.0000032062765],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060697093,0.00038739617,0.20291457,0.0016658781,0.0001585358,0.000028634164,0.35278708,0.010905632,0.0035233512,0.007061257,0.41419533,0.006311651],"study_design_scores_gemma":[0.0014462412,0.00017507278,0.25027436,0.00020718269,0.00017324372,0.00000673859,0.5784276,0.11679284,0.00052486,0.010675976,0.040352907,0.0009430025],"about_ca_topic_score_codex":0.00262684,"about_ca_topic_score_gemma":0.000058603222,"teacher_disagreement_score":0.37384242,"about_ca_system_score_codex":0.00040400642,"about_ca_system_score_gemma":0.000055505592,"threshold_uncertainty_score":0.86566395},"labels":[],"label_agreement":null},{"id":"W4408250400","doi":"10.1016/j.scs.2025.106263","title":"Pathways to urban net zero energy buildings in Canada: A comprehensive GIS-based framework using open data","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"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 British Columbia","funders":"University of British Columbia","keywords":"Zero-energy building; Zero (linguistics); Net (polyhedron); Open data; Architectural engineering; Civil engineering; Energy (signal processing); Environmental science; Computer science; Geography; Engineering; World Wide Web; Mathematics; Statistics","score_opus":0.017039210504858265,"score_gpt":0.22874599709691681,"score_spread":0.21170678659205855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408250400","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":[0.45492417,0.0027113112,0.53933823,0.0004208527,0.00039586847,0.00041083587,0.00008163947,0.00015119251,0.0015658935],"genre_scores_gemma":[0.9823465,0.00014247082,0.014718493,0.0022012563,0.000029194018,0.00002738435,0.00006548446,0.000024231416,0.0004450077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911916,0.00001639889,0.00016826023,0.00024049058,0.00008813423,0.0003675729],"domain_scores_gemma":[0.99944377,0.00007939193,0.000020758693,0.0003269271,0.00006789971,0.00006125165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092934926,0.00014561428,0.00021019635,0.000046381538,0.00020197095,0.00014690978,0.00041502883,0.00009537224,0.000008565302],"category_scores_gemma":[0.000018106819,0.00016349662,0.000022912274,0.00041627217,0.000027873366,0.00020903972,0.00050786475,0.00014147419,1.7448498e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008638706,0.00000586174,0.0005892588,0.00017943929,0.000035574874,0.000009035628,0.0006004741,0.91424376,0.000015783686,0.057905417,0.025833085,0.0005736651],"study_design_scores_gemma":[0.0003748161,0.000012774021,0.00035728887,0.00019008672,0.000017529892,6.7861004e-7,0.01643797,0.89117974,0.00015171594,0.0043212534,0.08665567,0.00030045048],"about_ca_topic_score_codex":0.540596,"about_ca_topic_score_gemma":0.04621059,"teacher_disagreement_score":0.5274223,"about_ca_system_score_codex":0.0006521547,"about_ca_system_score_gemma":0.00085646816,"threshold_uncertainty_score":0.97119355},"labels":[],"label_agreement":null},{"id":"W4408963793","doi":"10.1016/j.scs.2025.106337","title":"Assessing a decision-support tool to estimate the cooling potential and economic savings from urban vegetation in Singapore","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"National Research Foundation Singapore","keywords":"Vegetation (pathology); Urban heat island; Decision support system; Environmental science; Geography; Computer science; Meteorology; Data mining; Medicine","score_opus":0.004388980257453075,"score_gpt":0.2514283528045643,"score_spread":0.24703937254711125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408963793","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":[0.9946107,0.00012907866,0.0035752333,0.00036433834,0.00006277954,0.0002172689,0.0000024063502,0.000015301048,0.0010228562],"genre_scores_gemma":[0.9955827,0.000029101604,0.0029601955,0.00045763384,0.000025681402,0.000017912887,0.000007817916,0.0000061726923,0.0009127727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928504,0.000020019002,0.00016417392,0.00022388801,0.000080527294,0.00022636433],"domain_scores_gemma":[0.9997263,0.00010319789,0.00003361898,0.00009487329,0.000009521692,0.000032484135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032400087,0.00008866538,0.000104898456,0.000018617407,0.00037325275,0.00031085033,0.00006511417,0.000055798533,0.000046145797],"category_scores_gemma":[0.00003695147,0.00007474884,0.00003110893,0.00009162589,0.000117630996,0.00044440222,0.00017367215,0.00008806615,0.000002806631],"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":[0.000119123026,0.0000686109,0.6999763,0.00033911393,0.0000862416,0.000056233413,0.09426471,0.041093938,0.0028296118,0.010806125,0.041052077,0.10930789],"study_design_scores_gemma":[0.0005266914,0.000026225767,0.8951748,0.0000768757,0.000028560871,0.0000024875692,0.04239429,0.038524725,0.00012111775,0.0198,0.0031383354,0.00018588096],"about_ca_topic_score_codex":0.001835442,"about_ca_topic_score_gemma":0.000112593254,"teacher_disagreement_score":0.19519849,"about_ca_system_score_codex":0.00030965282,"about_ca_system_score_gemma":0.00005139058,"threshold_uncertainty_score":0.30481693},"labels":[],"label_agreement":null},{"id":"W4409017078","doi":"10.1016/j.scs.2025.106298","title":"Enhancing public transportation sustainability: Insights from electric bus scheduling and charge optimization","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":10,"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 Windsor","funders":"","keywords":"Sustainability; Public transport; Scheduling (production processes); Charge (physics); Automotive engineering; Transport engineering; Engineering; Computer science; Environmental economics; Economics; Operations management; Physics; Ecology","score_opus":0.0022497526571723355,"score_gpt":0.17717787567916427,"score_spread":0.17492812302199193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409017078","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":[0.9103626,0.0070893764,0.0812543,0.00026101424,0.00005987236,0.0002601201,0.0000044720086,0.00018717907,0.00052108587],"genre_scores_gemma":[0.9955311,0.0021344044,0.0015414197,0.00013958687,0.000056796725,0.000024475126,0.000047058627,0.000018394692,0.00050679897],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908155,0.000016641025,0.00020897384,0.00022059836,0.00009098828,0.00038124385],"domain_scores_gemma":[0.99952716,0.00005534577,0.000028258873,0.00010229986,0.00022551681,0.000061431376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009173925,0.00016497295,0.00019312455,0.000083970765,0.00036477894,0.00017494113,0.00005651419,0.00016886002,0.0000175412],"category_scores_gemma":[0.000034001976,0.00016770232,0.000054538246,0.0005168296,0.000043403383,0.00041861966,0.000014340195,0.00022014456,8.520526e-8],"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":[0.000070338254,0.00011088884,0.011852163,0.012546362,0.0013089722,0.000046237692,0.08147637,0.2575922,0.009965381,0.5614651,0.0034914715,0.060074523],"study_design_scores_gemma":[0.0012345673,0.00007915892,0.010091029,0.0000730201,0.00011982508,0.0000016457136,0.11822437,0.80164206,0.006016349,0.056466326,0.0053967256,0.00065492553],"about_ca_topic_score_codex":0.00015286868,"about_ca_topic_score_gemma":0.000011093112,"teacher_disagreement_score":0.54404986,"about_ca_system_score_codex":0.00025356514,"about_ca_system_score_gemma":0.00012923611,"threshold_uncertainty_score":0.6838702},"labels":[],"label_agreement":null},{"id":"W4410014821","doi":"10.1016/j.scs.2025.106419","title":"50 Shades of Green. How does residential development affect urban green cover in the short and medium term?","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","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":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Term (time); Medium term; Affect (linguistics); Architectural engineering; Cover (algebra); Natural resource economics; Environmental science; Geography; Business; Engineering; Economics; Sociology; Physics","score_opus":0.004616841753611751,"score_gpt":0.20383290390326494,"score_spread":0.1992160621496532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410014821","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":[0.9969401,0.0004911775,0.000013643696,0.0013454775,0.0000333033,0.00022961377,0.0000036768834,0.000008349077,0.00093470956],"genre_scores_gemma":[0.9945378,0.00022352606,0.000046575384,0.0003212896,0.000028271255,0.000024783842,0.0000041320136,0.000004146309,0.004809509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920094,0.000046418063,0.00013135845,0.00018537162,0.00017613615,0.00025975902],"domain_scores_gemma":[0.9997489,0.00006607533,0.000031467538,0.000115011615,0.000010152932,0.000028384955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046250247,0.00010691071,0.0001572762,0.00001826302,0.00024879712,0.00008539598,0.00015562269,0.00006902983,0.000068063884],"category_scores_gemma":[0.000005012165,0.000060615548,0.000041680396,0.00012504355,0.0000964868,0.00022808983,0.0002617683,0.000074180185,5.543207e-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":[0.000023276916,0.000032744963,0.95308506,0.0016243957,0.00006435452,0.000011655858,0.03659288,0.000012204724,0.00012277206,0.0004480683,0.0074282577,0.0005543435],"study_design_scores_gemma":[0.0003394754,0.000036500576,0.8776182,0.000072592,0.00002878716,0.000001971674,0.09847228,0.00014069166,0.00041878718,0.0012729805,0.021442445,0.00015528743],"about_ca_topic_score_codex":0.00391355,"about_ca_topic_score_gemma":0.0020127667,"teacher_disagreement_score":0.07546685,"about_ca_system_score_codex":0.00006905357,"about_ca_system_score_gemma":0.000031215997,"threshold_uncertainty_score":0.5916143},"labels":[],"label_agreement":null},{"id":"W4410299637","doi":"10.1016/j.scs.2025.106404","title":"Zones of exposure: Urban micro-environments of air pollution and residential intensification","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Environmental Justice and Health Disparities","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 Victoria; McGill University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Environmental science; Air pollution; Pollution; Environmental engineering; Chemistry; Ecology","score_opus":0.006992676155769269,"score_gpt":0.2542246501256976,"score_spread":0.24723197396992835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410299637","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":[0.9885532,0.0062818886,0.00024215945,0.0017892041,0.00006893441,0.00022622688,0.000009681284,0.000008806052,0.0028198974],"genre_scores_gemma":[0.9761506,0.013645307,0.00020473253,0.0003736154,0.000031724496,0.000008180628,0.0000045651263,0.000003327925,0.009577964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99930346,0.00005668901,0.0001894437,0.00011998785,0.00013066133,0.00019977977],"domain_scores_gemma":[0.99971783,0.000048152462,0.00008688751,0.00007563654,0.00003550743,0.00003596487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033854946,0.000061737155,0.00013687737,0.000029394098,0.00044729063,0.00001603766,0.00005290403,0.000091510265,0.0000123856935],"category_scores_gemma":[0.000042278636,0.00006583869,0.000043417356,0.00008586176,0.00094142585,0.00013945896,0.00006797936,0.00005725585,1.409976e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006729122,0.000095166484,0.08507953,0.004251113,0.0000765441,0.0000011018452,0.14460327,0.000021348947,0.0014615076,0.7522165,0.011206213,0.0009204044],"study_design_scores_gemma":[0.00024120748,0.000041193987,0.21996373,0.00007386744,0.000044089767,1.219565e-7,0.7670888,0.0000057487514,0.0005160565,0.0039715553,0.007991571,0.00006207247],"about_ca_topic_score_codex":0.0028186466,"about_ca_topic_score_gemma":0.000070418544,"teacher_disagreement_score":0.74824494,"about_ca_system_score_codex":0.000091493144,"about_ca_system_score_gemma":0.00008459891,"threshold_uncertainty_score":0.42609692},"labels":[],"label_agreement":null},{"id":"W4410494258","doi":"10.1016/j.scs.2025.106438","title":"Spatial patterns in urban water consumption: The role of local climate zones and temperature dynamics","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","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":"University of Toronto; Athabasca University","funders":"","keywords":"Water consumption; Dynamics (music); Economic geography; Consumption (sociology); Environmental science; Geography; Climatology; Environmental resource management; Water resource management; Geology; Sociology","score_opus":0.0017331360391537073,"score_gpt":0.1777679963786384,"score_spread":0.1760348603394847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410494258","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":[0.9982627,0.00031226443,0.00018804263,0.0004051685,0.00002200287,0.00015153197,0.000013912832,0.0000072615853,0.00063713774],"genre_scores_gemma":[0.9980403,0.00038216266,0.000020918871,0.00014152675,0.000010337159,0.000013260945,0.000015279526,0.0000034803752,0.0013727116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994678,0.000026832471,0.00010511794,0.00012216925,0.00007035623,0.00020774243],"domain_scores_gemma":[0.9998533,0.000026710533,0.000014999881,0.00007755288,0.000010153049,0.000017248638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015600132,0.00007009097,0.00008777481,0.000009177072,0.00017639807,0.000034199333,0.000045842084,0.000067786284,0.00008007656],"category_scores_gemma":[0.0000020945338,0.000044780856,0.000025997308,0.000036297308,0.0003304608,0.00009552237,0.00015584071,0.000092577786,7.606606e-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":[0.000010915739,0.000014498876,0.9811694,0.00019991286,0.00000901508,0.0000017569604,0.008520108,0.00006396069,0.00015682452,0.007894524,0.0003797898,0.0015792763],"study_design_scores_gemma":[0.00056803756,0.000048892263,0.7758233,0.000044582903,0.00002401168,0.000003302247,0.2018905,0.010195925,0.0016257585,0.0066354116,0.0029837498,0.00015654837],"about_ca_topic_score_codex":0.0020189285,"about_ca_topic_score_gemma":0.00055834884,"teacher_disagreement_score":0.20534614,"about_ca_system_score_codex":0.000105659776,"about_ca_system_score_gemma":0.000007931526,"threshold_uncertainty_score":0.30520293},"labels":[],"label_agreement":null},{"id":"W4410857879","doi":"10.1016/j.scs.2025.106491","title":"Environmental and health monitoring in smart cities: A systematic review of trends, opportunities, and challenges","year":2025,"lang":"en","type":"review","venue":"Sustainable Cities and Society","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Social Innovation","funders":"Korea Health Industry Development Institute","keywords":"Environmental planning; Engineering; Environmental resource management; Environmental science","score_opus":0.08572281245397437,"score_gpt":0.31183504165799236,"score_spread":0.226112229204018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410857879","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":[0.000070995025,0.9980251,0.0000014764182,0.00021595621,0.00005084595,0.00071624207,0.000036329813,0.000017696395,0.0008653622],"genre_scores_gemma":[0.00012875388,0.9938595,0.0000820025,0.0000573644,0.000034752946,0.00015645628,0.00001910243,0.00002159708,0.0056404304],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99776894,0.00026288637,0.0008319754,0.0004194859,0.00025205364,0.0004646636],"domain_scores_gemma":[0.99897027,0.00022791898,0.0004299585,0.0002388167,0.0000061538913,0.00012689507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017043663,0.00037051717,0.0019619965,0.0000731932,0.0002581568,0.000040497514,0.00013009796,0.00017086341,0.000027585507],"category_scores_gemma":[0.000036285026,0.0003235855,0.0001937515,0.00013460337,0.00039917027,0.00015148807,0.00048427368,0.0002616994,2.6298255e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.763623e-7,0.000012540459,0.00007412831,0.8440418,0.000042625346,0.0000049431287,0.0033333923,8.631276e-8,4.1464423e-9,0.00026472716,0.00015644773,0.15206891],"study_design_scores_gemma":[0.00016779393,0.00010408619,0.00018539302,0.6819917,0.00036616754,0.000027497701,0.16365115,0.0000067368674,6.654521e-8,0.000102905164,0.15296261,0.00043389457],"about_ca_topic_score_codex":0.00045386277,"about_ca_topic_score_gemma":0.0000031453185,"teacher_disagreement_score":0.16205013,"about_ca_system_score_codex":0.0005242239,"about_ca_system_score_gemma":0.00009226317,"threshold_uncertainty_score":0.9999216},"labels":[],"label_agreement":null},{"id":"W4411040153","doi":"10.1016/j.scs.2025.106510","title":"Global trends in urban forest irrigation: Environmental influences, challenges and opportunities for sustainable practices across 109 cities worldwide","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":8,"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; Université du Québec en Outaouais; Université du Québec à Montréal","funders":"Fundação Araucária; Western Sydney University; Danmarks Grundforskningsfond; Horizon 2020 Framework Programme; National Research Foundation; European Commission","keywords":"Environmental planning; Sustainability; Environmental resource management; Business; Natural resource economics; Geography; Environmental science; Environmental protection; Economics; Ecology","score_opus":0.0221369251294977,"score_gpt":0.26918129265415247,"score_spread":0.24704436752465478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411040153","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":[0.962141,0.00842585,0.00006678952,0.0028008886,0.000046484514,0.0005101981,0.00004839298,0.00004951229,0.025910892],"genre_scores_gemma":[0.92872524,0.0034562638,0.00020197331,0.00048515532,0.000044120323,0.00022166496,0.0000512828,0.000011969445,0.06680231],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9982582,0.00006118508,0.00028588687,0.00043693683,0.00020553273,0.00075226085],"domain_scores_gemma":[0.9993807,0.00016508067,0.00016093958,0.00017450069,0.00002349363,0.00009530612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006082735,0.00023985996,0.00025085578,0.000049409497,0.0006844141,0.0002358833,0.00014170956,0.0001514461,0.00006490011],"category_scores_gemma":[0.000060718638,0.00024012264,0.00007983683,0.0001963972,0.000860203,0.0013417535,0.00035007784,0.00011546994,4.5174875e-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":[0.00015285269,0.0001546361,0.5450588,0.001505201,0.00012432791,0.00007181262,0.052869897,0.0003576696,0.000013250658,0.3290207,0.03235179,0.03831904],"study_design_scores_gemma":[0.0007985068,0.000102074955,0.31570444,0.00003143708,0.000029901874,0.0000053339404,0.5331085,0.00050834025,0.000011564661,0.033703502,0.115738966,0.00025746884],"about_ca_topic_score_codex":0.0012587864,"about_ca_topic_score_gemma":0.0006181947,"teacher_disagreement_score":0.48023856,"about_ca_system_score_codex":0.00068841386,"about_ca_system_score_gemma":0.00005978822,"threshold_uncertainty_score":0.9791917},"labels":[],"label_agreement":null},{"id":"W4411044484","doi":"10.1016/j.scs.2025.106489","title":"An innovatively designed community-based hybrid energy system to generate its needs of electricity, heat, hot water and hydrogen in a sustainable manner","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electricity; Sustainable energy; Energy (signal processing); Environmental science; Waste management; Architectural engineering; Process engineering; Environmental economics; Environmental engineering; Engineering; Renewable energy; Electrical engineering; Economics","score_opus":0.008350904263869837,"score_gpt":0.2219977341041638,"score_spread":0.21364682984029396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411044484","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":[0.99087006,0.0008689824,0.0033321157,0.0002177636,0.000050506293,0.0004941406,0.000014374494,0.00013681251,0.0040152445],"genre_scores_gemma":[0.97534746,0.00006346078,0.0001476117,0.0009232532,0.000057825633,0.00026277124,0.000104126986,0.000063582214,0.0230299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963855,0.00090726675,0.0007218078,0.0003913836,0.00027028326,0.0013237318],"domain_scores_gemma":[0.9981151,0.0001562456,0.000097431366,0.00055434415,0.00088485394,0.00019197483],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018394701,0.0004582333,0.00082400325,0.000725849,0.00085632416,0.00021768865,0.00039714517,0.0002127414,0.0000074347017],"category_scores_gemma":[0.000044016535,0.000404329,0.000121777695,0.0017480489,0.00019483482,0.0003862415,0.0003598487,0.00030377886,4.139692e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044881148,0.00035128402,0.0016177553,0.009057662,0.00046622704,0.00020693014,0.01713682,0.21702614,0.040260315,0.71055824,0.0024987776,0.00037102366],"study_design_scores_gemma":[0.0037469526,0.00084283436,0.00029030666,0.0003876329,0.00009955452,0.000028959965,0.40464264,0.051432054,0.4958779,0.0022952107,0.03920022,0.0011557398],"about_ca_topic_score_codex":0.06765922,"about_ca_topic_score_gemma":0.00031984164,"teacher_disagreement_score":0.70826304,"about_ca_system_score_codex":0.0007988298,"about_ca_system_score_gemma":0.00046852263,"threshold_uncertainty_score":0.99984086},"labels":[],"label_agreement":null},{"id":"W4411219876","doi":"10.1016/j.scs.2025.106535","title":"A mixed-method systematic review of indoor environmental quality (IEQ) gaps and opportunities for future research","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Green Space and Health","field":"Environmental Science","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Environmental quality; Quality (philosophy); Architectural engineering; Environmental science; Engineering; Physics; Ecology; Biology","score_opus":0.05059835352244462,"score_gpt":0.351737390877965,"score_spread":0.3011390373555204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411219876","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":[0.46670678,0.48166648,0.0026314135,0.025477402,0.00024258769,0.010942038,0.00039508098,0.00008734569,0.011850888],"genre_scores_gemma":[0.286389,0.50118726,0.0070156655,0.009946172,0.00016511552,0.0012131117,0.0000733438,0.000053329884,0.19395699],"study_design_codex":"systematic_review","study_design_gemma":"qualitative","domain_scores_codex":[0.99830157,0.0003410279,0.00036883785,0.00026133523,0.00030136935,0.00042586692],"domain_scores_gemma":[0.9991529,0.00036689496,0.00011565724,0.00023596118,0.000034625522,0.000093948256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004111451,0.00013152118,0.0004803912,0.000027999447,0.0005215567,0.000035927318,0.00012707332,0.000103137245,0.00009223434],"category_scores_gemma":[0.00007768876,0.00010965485,0.000117649026,0.00013357801,0.00052750326,0.00015297817,0.0003058461,0.0001672507,6.4577563e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022716973,0.00006128434,0.010727327,0.88255316,0.000079421894,0.0000031592215,0.007268805,3.356845e-7,0.000032626253,0.045902587,0.05235898,0.0009896149],"study_design_scores_gemma":[0.0006949448,0.00021002996,0.010058666,0.013453162,0.00016267238,0.000004972894,0.9339842,0.000113655624,0.000044139553,0.0077079586,0.03327262,0.0002929803],"about_ca_topic_score_codex":0.00059605384,"about_ca_topic_score_gemma":0.000031997075,"teacher_disagreement_score":0.9267154,"about_ca_system_score_codex":0.00023715178,"about_ca_system_score_gemma":0.00007988641,"threshold_uncertainty_score":0.44715953},"labels":[],"label_agreement":null},{"id":"W4411330171","doi":"10.1016/j.scs.2025.106534","title":"Workplace heat exposure exacerbated the inequity of heat exposure across urban inhabitants: a big-data investigation in Shenzhen, China","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Guangdong University of Technology; National Natural Science Foundation of China","keywords":"China; Urban heat island; Extreme heat; Geography; Environmental health; Environmental science; Medicine; Meteorology; Climate change; Geology","score_opus":0.03152420358739327,"score_gpt":0.28455714724981923,"score_spread":0.25303294366242596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411330171","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":[0.9908083,0.002654096,0.000034738936,0.004395538,0.00010418892,0.00054311065,0.00007172171,0.00003002905,0.0013582433],"genre_scores_gemma":[0.9939904,0.0013053737,0.000044038334,0.0018511238,0.000062929495,0.00003400022,0.00006117262,0.000012364584,0.0026385975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981968,0.000118574855,0.00037741865,0.00037146336,0.00024252398,0.000693232],"domain_scores_gemma":[0.9991202,0.00012783469,0.0000615034,0.00054582924,0.00003372837,0.00011090754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013113946,0.00019288284,0.0002848911,0.000024789988,0.0005660765,0.000096439,0.0003620094,0.00017551554,0.00006132755],"category_scores_gemma":[0.00014150051,0.00014771313,0.00005339662,0.0007821125,0.00058806915,0.00044271906,0.0009797552,0.0002940717,0.0000013200715],"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":[0.00010040097,0.00010438397,0.79355484,0.001542039,0.000033393084,0.000010760093,0.124748416,0.0004459862,0.0005449261,0.0005047996,0.07618444,0.0022256046],"study_design_scores_gemma":[0.0013934352,0.00019372099,0.69011754,0.0002931866,0.000026333559,0.0000029020118,0.29580992,0.0020389531,0.00025679794,0.0039095664,0.0056776307,0.0002800372],"about_ca_topic_score_codex":0.005353252,"about_ca_topic_score_gemma":0.0008561942,"teacher_disagreement_score":0.17106152,"about_ca_system_score_codex":0.00037479165,"about_ca_system_score_gemma":0.00010019089,"threshold_uncertainty_score":0.8092551},"labels":[],"label_agreement":null},{"id":"W4411450307","doi":"10.1016/j.scs.2025.106558","title":"Quantifying spatiotemporal patterns of urban heat, dry and wet-bulb islands across representative local climate zones through field measurements and artificial neural networks","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); Sun Yat-sen University; National Natural Science Foundation of China","keywords":"Urban heat island; Environmental science; Artificial neural network; Field (mathematics); Remote sensing; Meteorology; Geography; Machine learning; Computer science","score_opus":0.023691593394170915,"score_gpt":0.2840901856823277,"score_spread":0.26039859228815676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411450307","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":[0.98698753,0.0005382226,0.011340409,0.00029006065,0.00007913364,0.0002541277,0.000017562068,0.000018965698,0.00047400384],"genre_scores_gemma":[0.99858207,0.0003728248,0.00017348278,0.00028422408,0.0000363941,0.000015316074,0.000015117332,0.000007993785,0.0005126054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988455,0.00005772075,0.0002400976,0.0002991271,0.00016605844,0.00039150688],"domain_scores_gemma":[0.99964315,0.00010449654,0.000057192916,0.00012066597,0.00003115495,0.000043350476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031672991,0.0001431716,0.00020636442,0.000010167193,0.00047887338,0.00009152499,0.00005558618,0.00010816019,0.000026628028],"category_scores_gemma":[0.0000222056,0.000132403,0.000051775176,0.00011032375,0.0003640031,0.00034298855,0.00027727574,0.00013616637,1.3588539e-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":[0.000055271044,0.000022642225,0.97419494,0.0002701351,0.00003516858,0.0000039657293,0.020680737,0.00044651298,0.00006084278,0.0007553747,0.001709809,0.0017646028],"study_design_scores_gemma":[0.0014392518,0.0003282092,0.5498165,0.0001443744,0.0000858563,0.000004258137,0.36969888,0.07138901,0.0029875701,0.0031119597,0.00053063943,0.0004634952],"about_ca_topic_score_codex":0.0049663805,"about_ca_topic_score_gemma":0.00043733622,"teacher_disagreement_score":0.42437842,"about_ca_system_score_codex":0.000072089744,"about_ca_system_score_gemma":0.000012501593,"threshold_uncertainty_score":0.7507715},"labels":[],"label_agreement":null},{"id":"W4411522455","doi":"10.1016/j.scs.2025.106561","title":"Sharing private charging piles to develop electric vehicle charging and vehicle-to-grid services","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"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":"Electric vehicle; Grid; Automotive engineering; Transport engineering; Engineering; Vehicle-to-grid; Physics; Power (physics)","score_opus":0.002830147297576422,"score_gpt":0.19112977184342636,"score_spread":0.18829962454584995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411522455","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":[0.99348646,0.0027949177,0.0010971404,0.00056524086,0.000101407524,0.000347081,0.0000053379654,0.00027414807,0.0013282611],"genre_scores_gemma":[0.9943296,0.0009670722,0.00082454644,0.0015414262,0.000153756,0.000048760754,0.000006792261,0.0000412121,0.0020868625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840736,0.0000114682325,0.00024122518,0.0003654863,0.00013584517,0.0008386292],"domain_scores_gemma":[0.99943566,0.000045181576,0.00002606856,0.00017736196,0.0001533244,0.00016238404],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024458155,0.00026336283,0.00028540485,0.00014914972,0.0005715581,0.0003154953,0.00020363106,0.0001267049,0.000011655604],"category_scores_gemma":[0.000020296207,0.0002694658,0.000048361944,0.0012447465,0.000024179239,0.00027882642,0.0002922441,0.00028561556,0.0000019862537],"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":[0.00018483501,0.00008780746,0.17175128,0.031351417,0.0017453866,0.00012015007,0.14105189,0.035336148,0.11844503,0.30300462,0.040743586,0.15617786],"study_design_scores_gemma":[0.0022791666,0.00028047207,0.23113196,0.0009681511,0.00015640455,0.000024199388,0.097319506,0.46695644,0.027184188,0.012994304,0.15818271,0.002522498],"about_ca_topic_score_codex":0.00011941202,"about_ca_topic_score_gemma":0.0000051968264,"teacher_disagreement_score":0.4316203,"about_ca_system_score_codex":0.000219941,"about_ca_system_score_gemma":0.00005360814,"threshold_uncertainty_score":0.99997574},"labels":[],"label_agreement":null},{"id":"W4411710993","doi":"10.1016/j.scs.2025.106581","title":"Forecasting municipal water demands: Evaluating the impacts of population growth, climate change, and conservation policies on water end-use","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"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 Alberta","funders":"EPCOR; Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Water conservation; Population growth; Environmental science; Population; Natural resource economics; Environmental planning; Environmental resource management; Water resource management; Business; Water resources; Economics; Geology; Ecology","score_opus":0.03050073487818947,"score_gpt":0.24838030513565793,"score_spread":0.21787957025746846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411710993","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":[0.998253,0.00012678734,0.00007312643,0.0005039009,0.000031587442,0.00029493583,0.0000022592549,0.000047692516,0.0006667124],"genre_scores_gemma":[0.99864,0.00040867575,0.000090403984,0.00026932804,0.000036279293,0.000028471173,0.00005556845,0.000012216642,0.00045907535],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993154,0.000028851578,0.0001704414,0.000090923066,0.000090246416,0.00030416306],"domain_scores_gemma":[0.99975044,0.000054894557,0.000024864212,0.00008132978,0.000072395655,0.000016081702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038012967,0.00010744931,0.000114306844,0.000054446784,0.000338206,0.00014927454,0.000041976855,0.000050413837,0.0000044211374],"category_scores_gemma":[0.000020967978,0.000064041975,0.000036675312,0.00007225981,0.000054049364,0.00030084135,0.0001067454,0.00006482045,1.0841184e-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":[0.0002509471,0.00005745604,0.22072338,0.016552363,0.00065563293,0.000005938963,0.48048383,0.18624154,0.0015752685,0.08522695,0.002055605,0.0061711096],"study_design_scores_gemma":[0.0007335594,0.00011596506,0.035820138,0.00020465901,0.000113283946,0.0000010537343,0.054993294,0.90039986,0.0021313669,0.0046361494,0.0006165664,0.00023407507],"about_ca_topic_score_codex":0.0011159773,"about_ca_topic_score_gemma":0.000019094605,"teacher_disagreement_score":0.71415836,"about_ca_system_score_codex":0.00004133438,"about_ca_system_score_gemma":0.0000016822149,"threshold_uncertainty_score":0.2611556},"labels":[],"label_agreement":null},{"id":"W4412084365","doi":"10.1016/j.scs.2025.106613","title":"Exploring the relationships between building and transportation stocks to meet climate change mitigation goals","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd; China Scholarship Council; University of British Columbia; Eidgenössische Technische Hochschule Zürich; Ministry of Education of the People's Republic of China","keywords":"Climate change; Climate change mitigation; Business; Environmental planning; Environmental resource management; Transport engineering; Architectural engineering; Environmental science; Engineering; Geology","score_opus":0.0710139594543068,"score_gpt":0.3072583265486638,"score_spread":0.236244367094357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412084365","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":[0.99209726,0.00042873135,0.0006008388,0.004581926,0.00006529524,0.0005408654,0.00001918041,0.000056396264,0.0016094891],"genre_scores_gemma":[0.9982359,0.0003569733,0.00020952949,0.00019165537,0.00014541858,0.00015034834,0.000010214281,0.000005437749,0.000694524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906796,0.000082793194,0.00017458013,0.00019788192,0.00014748034,0.00032933138],"domain_scores_gemma":[0.99948835,0.00019993959,0.000042680338,0.00008581109,0.000112003116,0.00007121297],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011919212,0.00008691757,0.00012411879,0.000033689914,0.0025023439,0.00017338728,0.000085811844,0.00006692739,0.000004875486],"category_scores_gemma":[0.000052058884,0.000074701165,0.000056092253,0.0003647183,0.00022057068,0.000779594,0.000017061824,0.00011441633,1.135531e-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":[0.000005309663,0.000004865047,0.53688765,0.00020608553,0.000018294893,5.48811e-7,0.2087322,0.000004472008,0.0000037686577,0.2517219,0.00021206652,0.0022028536],"study_design_scores_gemma":[0.00009922508,0.000008119008,0.6495786,0.000042817497,0.000038711507,7.3318134e-9,0.32937288,0.000010132854,0.000022097951,0.016227685,0.0045192135,0.00008054312],"about_ca_topic_score_codex":0.002121682,"about_ca_topic_score_gemma":0.00097104633,"teacher_disagreement_score":0.2354942,"about_ca_system_score_codex":0.00008587609,"about_ca_system_score_gemma":0.000056669483,"threshold_uncertainty_score":0.9987963},"labels":[],"label_agreement":null},{"id":"W4412451165","doi":"10.1016/j.scs.2025.106624","title":"Assessing stakeholder awareness and perceptions of equity in communicating extreme weather risks to communities","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"National Weather Service; National Oceanic and Atmospheric Administration","keywords":"Stakeholder; Perception; Equity (law); Business; Extreme weather; Stakeholder engagement; Risk perception; Environmental planning; Environmental resource management; Public relations; Psychology; Geography; Political science; Environmental science; Climate change","score_opus":0.14193286941599503,"score_gpt":0.41291164956581927,"score_spread":0.27097878014982424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412451165","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":[0.9175344,0.0004873695,0.0005229171,0.0007358517,0.00002420859,0.00020050393,0.0000018562569,0.000019519843,0.080473356],"genre_scores_gemma":[0.98765904,0.0007452732,0.00045995414,0.00020788713,0.000009941789,0.000018768404,0.0000016725489,0.000004000166,0.010893451],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.999146,0.00017284542,0.000155179,0.00009863304,0.00013288556,0.0002944554],"domain_scores_gemma":[0.99947035,0.000176674,0.00004155937,0.00017085078,0.0001030957,0.000037451016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093469914,0.00007614191,0.0001534184,0.00006030121,0.0012974938,0.00031430135,0.0002317979,0.000056819546,0.000031251344],"category_scores_gemma":[0.00003360124,0.000075025055,0.000035052908,0.00030157797,0.0007579969,0.00039472684,0.0006450332,0.00011852582,1.2057903e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041891144,0.00005696722,0.21218766,0.0005383665,0.000023278431,8.344203e-7,0.55881006,0.00006290419,0.00002811118,0.21751384,0.0008458212,0.009927954],"study_design_scores_gemma":[0.00013017983,0.0000070575866,0.09401725,0.000119721335,0.000009471083,3.470501e-8,0.8958971,0.000128248,0.0000016093368,0.0058559515,0.0037598219,0.000073589195],"about_ca_topic_score_codex":0.030724514,"about_ca_topic_score_gemma":0.0035490177,"teacher_disagreement_score":0.337087,"about_ca_system_score_codex":0.000095828,"about_ca_system_score_gemma":0.00013402618,"threshold_uncertainty_score":0.9979405},"labels":[],"label_agreement":null},{"id":"W4412459735","doi":"10.1016/j.scs.2025.106572","title":"Resiliency enhancement of power system in wildland-urban interfaces using a coordinated learning-based method","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Power (physics); Environmental science; Architectural engineering; Civil engineering; Engineering; Physics","score_opus":0.0036604615161360495,"score_gpt":0.2330998411131036,"score_spread":0.22943937959696756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412459735","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":[0.87136537,0.0013261179,0.12511472,0.000022324808,0.000086745655,0.00021797208,0.00000709715,0.00009039965,0.0017692497],"genre_scores_gemma":[0.99812055,0.000025224674,0.0010308266,0.000010903913,0.0000047343187,0.000013314403,0.000009204796,0.00000998468,0.00077527587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992009,0.000048554524,0.00023599851,0.00014286474,0.000080485384,0.0002911913],"domain_scores_gemma":[0.9996811,0.00005250738,0.000037118538,0.000092957256,0.000112761154,0.00002351638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003760891,0.00012371974,0.00022539147,0.000064701846,0.00009085024,0.000035240304,0.0000647507,0.00009146738,0.00001056445],"category_scores_gemma":[0.000027359816,0.0001292278,0.000057748275,0.0003339576,0.000059182847,0.000098115335,0.000045895962,0.00015720446,1.6225144e-7],"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":[0.00017092112,0.00014600439,0.016701516,0.018200787,0.00037697994,0.000027520695,0.017046362,0.9008771,0.011907167,0.02579942,0.008052138,0.00069408055],"study_design_scores_gemma":[0.0010791168,0.00014653112,0.00092502346,0.0005837001,0.000040787356,8.866978e-7,0.17199567,0.80472904,0.017534086,0.000116733834,0.0025817256,0.00026670136],"about_ca_topic_score_codex":0.00025115593,"about_ca_topic_score_gemma":0.0000021985204,"teacher_disagreement_score":0.1549493,"about_ca_system_score_codex":0.00047933141,"about_ca_system_score_gemma":0.00007002915,"threshold_uncertainty_score":0.5269757},"labels":[],"label_agreement":null},{"id":"W4413291557","doi":"10.1016/j.scs.2025.106739","title":"Systems-based approach to public electric vehicle supply equipment expansion: An international policy analysis","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"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":"Electric vehicle; Engineering; Business","score_opus":0.004929747239252382,"score_gpt":0.21901770518776723,"score_spread":0.21408795794851485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413291557","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":[0.92136806,0.0017408447,0.05238956,0.0014438834,0.00017128095,0.0005525512,0.000025851805,0.00038721284,0.021920782],"genre_scores_gemma":[0.99583286,0.00016067535,0.000506699,0.00061114994,0.00013326887,0.00007656661,0.000058690268,0.000016202628,0.0026039062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987928,0.00002626834,0.00020641644,0.00025020353,0.0001982385,0.00052606576],"domain_scores_gemma":[0.9994086,0.00002396776,0.000022542008,0.00021990496,0.0001902115,0.0001347869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019854776,0.00017050914,0.00023612376,0.00037059083,0.00024932178,0.00035472363,0.00021754907,0.00011899366,0.000016933905],"category_scores_gemma":[0.00001670676,0.00016410202,0.00013712891,0.0019893867,0.000025614701,0.0002679582,0.000060515595,0.00016613335,4.382837e-7],"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":[0.000033215063,0.00016643261,0.017950546,0.0015340794,0.0026310158,0.000008990479,0.00526739,0.53609246,0.0011155786,0.3853972,0.036057115,0.01374599],"study_design_scores_gemma":[0.00047542853,0.00007459698,0.014663304,0.000011123073,0.00011530555,0.0000015817234,0.020784725,0.9361813,0.00022907683,0.00078626897,0.026372602,0.00030469478],"about_ca_topic_score_codex":0.00038588318,"about_ca_topic_score_gemma":0.0000025376548,"teacher_disagreement_score":0.40008885,"about_ca_system_score_codex":0.00053995353,"about_ca_system_score_gemma":0.00019839122,"threshold_uncertainty_score":0.6691886},"labels":[],"label_agreement":null},{"id":"W4415223752","doi":"10.1016/j.scs.2025.106902","title":"Assessing the impact and equitability of governance mechanisms for seismic resilience enhancement","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accountability; Socioeconomic status; Corporate governance; Incentive; Equity (law); Psychological resilience; Property rights; Quality (philosophy)","score_opus":0.010243596042178529,"score_gpt":0.3360227892186209,"score_spread":0.3257791931764424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415223752","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":[0.91189945,0.0019363294,0.05067517,0.0029032954,0.00012066137,0.00095027924,0.000006288169,0.000022728093,0.03148581],"genre_scores_gemma":[0.9752177,0.0006838904,0.00042743114,0.00018619854,0.000018324024,0.000035909365,5.6481497e-7,0.0000026686148,0.02342734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9990833,0.000059769758,0.00014117606,0.00018935406,0.0001716138,0.00035483137],"domain_scores_gemma":[0.99940544,0.00022722119,0.000082938815,0.00012509187,0.00012802052,0.000031274627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012476722,0.00008272929,0.00013202272,0.000009940645,0.0010980349,0.0002489589,0.0001753015,0.000045134682,0.000014164059],"category_scores_gemma":[0.0001307276,0.000057076497,0.00008270544,0.00019174373,0.0007988896,0.00039569265,0.00017378041,0.00005351019,4.9805756e-8],"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":[0.0000149578855,0.000041232066,0.0015940029,0.0007306364,0.000050659633,3.918823e-7,0.03587998,0.00008365321,0.00019793594,0.94543064,0.004440953,0.01153494],"study_design_scores_gemma":[0.00025838555,0.00006300967,0.012053652,0.00005930733,0.000028644457,6.4252724e-8,0.789821,0.0018098754,0.00023637965,0.18329094,0.012268936,0.00010976563],"about_ca_topic_score_codex":0.001445207,"about_ca_topic_score_gemma":0.000026325111,"teacher_disagreement_score":0.7621397,"about_ca_system_score_codex":0.00012162849,"about_ca_system_score_gemma":0.00022019506,"threshold_uncertainty_score":0.84453076},"labels":[],"label_agreement":null},{"id":"W4415258624","doi":"10.1016/j.scs.2025.106906","title":"Who gets to use the street? Evaluate the utilization and inclusiveness using crowdsourced videos and vision-language models","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","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 British Columbia","funders":"","keywords":"Pedestrian; Street network; Data collection; Equity (law); Construct (python library); Urban planning; Social equality; Public transport; Sustainable development","score_opus":0.02849238434726745,"score_gpt":0.3472891677411813,"score_spread":0.3187967833939138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415258624","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":[0.99224734,0.0026028026,0.0022700855,0.001649166,0.000037451155,0.00056025386,0.000008468065,0.000025122112,0.0005992999],"genre_scores_gemma":[0.9949521,0.00069187203,0.00007297888,0.0008510819,0.000033057804,0.000014040914,0.0000025326171,0.000006311114,0.0033760252],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9989511,0.00015226482,0.00014424126,0.00023663216,0.00020945317,0.0003063278],"domain_scores_gemma":[0.9992885,0.00024255642,0.000034941975,0.0001581553,0.00021381244,0.00006202908],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010872182,0.00011122387,0.00014219459,0.000021544,0.0030656497,0.0005160365,0.00013743267,0.000081858125,0.00000773586],"category_scores_gemma":[0.000098076605,0.000070577036,0.000048171645,0.00024124804,0.00063319854,0.00055005605,0.00021122288,0.00010234823,2.8595373e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007628761,0.000044402168,0.10232589,0.00063862966,0.0001261155,0.000008843414,0.8019036,0.0014805291,0.00009715793,0.08158315,0.0011123306,0.010603086],"study_design_scores_gemma":[0.0003828113,0.000021655263,0.09025206,0.00008448502,0.00009417472,1.5219828e-7,0.85139775,0.026385868,0.000049799186,0.025745315,0.0054009864,0.00018493981],"about_ca_topic_score_codex":0.013401331,"about_ca_topic_score_gemma":0.0016339284,"teacher_disagreement_score":0.055837832,"about_ca_system_score_codex":0.000085785905,"about_ca_system_score_gemma":0.00018968286,"threshold_uncertainty_score":0.99823225},"labels":[],"label_agreement":null},{"id":"W4415436568","doi":"10.1016/j.scs.2025.106924","title":"Evaluation of the sustainability and resilience of rooftop agrivoltaics based on the WFE–C–Cost model","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; Natural Science Foundation of Fujian Province; University of British Columbia; Department of Education, Fujian Province; National Natural Science Foundation of China","keywords":"Sustainability; Rainwater harvesting; Resilience (materials science); Mains electricity; Electricity; Population; Urban resilience","score_opus":0.009175118224606602,"score_gpt":0.24406646250600125,"score_spread":0.23489134428139466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415436568","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":[0.98845273,0.00018060785,0.0009207045,0.0014926505,0.000031507534,0.0016090786,0.000009691298,0.000009813132,0.0072932234],"genre_scores_gemma":[0.9967489,0.000022549262,0.000040925708,0.00028930156,0.00000522606,0.000114370305,6.301051e-7,0.0000051709862,0.0027728884],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979885,0.0003472601,0.0003120575,0.00031653192,0.00070723856,0.00032837407],"domain_scores_gemma":[0.99839854,0.000354391,0.0001419934,0.0005833728,0.00048041227,0.000041317446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050799795,0.00014897615,0.00021591525,0.000017511713,0.0005491439,0.000032974942,0.00026491543,0.00010048789,0.000035673023],"category_scores_gemma":[0.0013717422,0.00008865849,0.0001325254,0.00043287725,0.0014588357,0.00012678,0.00037988496,0.00015984943,6.629129e-8],"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":[0.00015250768,0.00045828387,0.44653228,0.0032634109,0.00010060388,0.0000012281756,0.02391362,0.40681258,0.0009165709,0.0884122,0.01643399,0.013002731],"study_design_scores_gemma":[0.00048021614,0.00005220009,0.15509428,0.000040320174,0.000077110606,3.045859e-7,0.115244985,0.59878826,0.0009920798,0.1279466,0.0011592896,0.00012432679],"about_ca_topic_score_codex":0.0040267548,"about_ca_topic_score_gemma":0.00009561184,"teacher_disagreement_score":0.291438,"about_ca_system_score_codex":0.0008263431,"about_ca_system_score_gemma":0.000582922,"threshold_uncertainty_score":0.6087276},"labels":[],"label_agreement":null},{"id":"W4415534025","doi":"10.1016/j.scs.2025.106913","title":"Exploring the main and interactive effects of urban morphology on land surface temperature across different functional zones: A local geoshapley analysis based on XAI","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China; Fujian University of Technology; National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Urban morphology; Surface (topology); Morphology (biology); Land use; Urban heat island","score_opus":0.006645120056609959,"score_gpt":0.2065722864222134,"score_spread":0.19992716636560343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415534025","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":[0.9975217,0.00007581346,0.0015569726,0.00038595207,0.00006134912,0.00022623576,0.00002020075,0.000011759906,0.00014002428],"genre_scores_gemma":[0.9966259,0.000056330744,0.00002158226,0.0004954563,0.000015078004,0.00004258405,0.000019249397,0.0000054574625,0.0027183723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915266,0.00008823126,0.00011228016,0.00024964372,0.00014859687,0.00024859837],"domain_scores_gemma":[0.99928,0.00048791544,0.000038210426,0.00013812359,0.000019382083,0.000036382342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001750041,0.00013354543,0.00019152116,0.000022276705,0.0003558422,0.00004630914,0.00005630612,0.0000635472,0.0000365616],"category_scores_gemma":[0.000031647574,0.00008903075,0.00009871583,0.00027042505,0.0003056333,0.00010987599,0.00010134666,0.00018194958,4.9838985e-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":[0.00070569385,0.00038848163,0.8667964,0.0009869023,0.0009854168,0.000037519283,0.04220738,0.06480706,0.0020821588,0.0044570426,0.014843746,0.0017022165],"study_design_scores_gemma":[0.0008659905,0.00024265511,0.93230045,0.00005484602,0.00014191183,9.238082e-7,0.051526368,0.0120913545,0.0018850057,0.00038916635,0.00035642518,0.0001448966],"about_ca_topic_score_codex":0.0006637654,"about_ca_topic_score_gemma":0.00007291308,"teacher_disagreement_score":0.065504074,"about_ca_system_score_codex":0.00021959329,"about_ca_system_score_gemma":0.00001537903,"threshold_uncertainty_score":0.36305687},"labels":[],"label_agreement":null},{"id":"W4416230872","doi":"10.1016/j.scs.2025.106982","title":"The distinct effects of digital finance inclusive on water use and carbon emissions between expansive and non-expansive cities in China","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Canadian Anesthesiologists' Society","keywords":"Expansive; China; Greenhouse gas; Resource (disambiguation); Sustainability; Water scarcity; Carbon sequestration; Sustainable development","score_opus":0.00281880631061516,"score_gpt":0.19507683779375043,"score_spread":0.19225803148313528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416230872","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":[0.99345326,0.00043517852,0.0000127261,0.0006788844,0.00003075837,0.00027451146,0.000024373221,0.000010070338,0.005080261],"genre_scores_gemma":[0.99303424,0.00040026347,0.0000104980945,0.000076588,0.000015583879,0.000047574777,0.0000049919227,0.000009469015,0.006400766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989304,0.000036680107,0.00017538047,0.00028968116,0.00014306887,0.0004248126],"domain_scores_gemma":[0.999258,0.00047298073,0.000047572164,0.00014896711,0.000029227323,0.000043256783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010599702,0.00019681847,0.00026887347,0.00002394143,0.0007256297,0.00010026191,0.00009529558,0.00007774373,0.0000011391872],"category_scores_gemma":[0.000100125115,0.00012316147,0.000046726906,0.00011943475,0.0010532659,0.0002540871,0.0009926772,0.00013359512,9.740634e-8],"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":[0.00023734767,0.00017268707,0.6602297,0.0022313993,0.00045787374,0.00013590869,0.29419306,0.0002959079,0.0016109972,0.028490597,0.005121708,0.006822837],"study_design_scores_gemma":[0.0011333112,0.00036921923,0.730257,0.00024401628,0.00005544065,0.0000014643354,0.15844676,0.00022280573,0.010403196,0.09696174,0.0015318146,0.00037327246],"about_ca_topic_score_codex":0.0021819365,"about_ca_topic_score_gemma":0.00006615881,"teacher_disagreement_score":0.13574629,"about_ca_system_score_codex":0.00014969846,"about_ca_system_score_gemma":0.000020318472,"threshold_uncertainty_score":0.558103},"labels":[],"label_agreement":null},{"id":"W4416412746","doi":"10.1016/j.scs.2025.106992","title":"Modeling climate change impacts on urban population exposure to heat stress dynamics in Vancouver and Victoria, Canada","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":2,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Urban heat island; Climate change; Population; Climate model; Urban climate; Greenhouse gas; Urban climatology; Heat stress; Urbanization","score_opus":0.004034741079237518,"score_gpt":0.1946679983872343,"score_spread":0.1906332573079968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416412746","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":[0.99798375,0.0001121979,0.00006409382,0.0002832738,0.00012573911,0.0002962104,0.000027403317,0.00001193842,0.001095414],"genre_scores_gemma":[0.9982542,0.000116828785,0.000051561845,0.0005935673,0.000031895495,0.0000272199,0.000020962058,0.0000068444065,0.00089692225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922526,0.000017769842,0.00011610602,0.00019269643,0.00012597717,0.00032218607],"domain_scores_gemma":[0.99980354,0.000020406631,0.000011257171,0.000086882246,0.000012434566,0.0000654797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116987656,0.00010012188,0.00010745502,0.000020812133,0.0002033007,0.000040814964,0.000038067777,0.0000608579,0.000010337828],"category_scores_gemma":[0.000012442087,0.0000978586,0.000016776166,0.00014834091,0.000021208545,0.0001911137,0.000097336524,0.00007940038,1.4020118e-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":[0.000033340406,0.000024447609,0.94530624,0.0003787778,0.000010573947,0.000008923028,0.013326788,0.027261829,0.000011207026,0.0047015953,0.007903361,0.0010328951],"study_design_scores_gemma":[0.0010063706,0.00016628897,0.47331,0.0002357785,0.000023153856,6.110352e-7,0.19080794,0.33007708,0.000036462035,0.0024562639,0.0014087433,0.0004713043],"about_ca_topic_score_codex":0.61943567,"about_ca_topic_score_gemma":0.76018494,"teacher_disagreement_score":0.47199625,"about_ca_system_score_codex":0.0016282331,"about_ca_system_score_gemma":0.00003080921,"threshold_uncertainty_score":0.4257773},"labels":[],"label_agreement":null},{"id":"W4416640835","doi":"10.1016/j.scs.2025.107020","title":"Assessing urban ecosystem service supply from the water-energy-food system and multi-scenario perspective","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Ecosystem services; Food security; Service (business); Water supply; Perspective (graphical); Land use; Scenario analysis; Supply and demand; Management system","score_opus":0.00804516378213427,"score_gpt":0.20622768439368167,"score_spread":0.1981825206115474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416640835","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":[0.930617,0.0050135446,0.0020584285,0.008327916,0.00037019412,0.0005941866,0.00016764402,0.000288292,0.052562818],"genre_scores_gemma":[0.9923949,0.00005845687,0.0002809359,0.0008365703,0.00008232916,0.00006896471,0.0000128819565,0.000022484013,0.0062424326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9981485,0.0001500112,0.00024318595,0.000561689,0.0002289823,0.0006676568],"domain_scores_gemma":[0.99930036,0.00015357316,0.00006664026,0.00030042967,0.00009583792,0.0000831841],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00032287717,0.00029836205,0.00032739004,0.000018267443,0.0018529731,0.00045352365,0.00025134385,0.00013599287,0.000026834494],"category_scores_gemma":[0.000013029852,0.0001750807,0.00010223279,0.00021796873,0.00025281604,0.0005154274,0.0010843861,0.00016746127,0.0000025894187],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000683699,0.00020243895,0.031562336,0.0016970637,0.0015121235,0.00007318175,0.25195605,0.000654628,0.001171811,0.6859564,0.02420397,0.0009416165],"study_design_scores_gemma":[0.0007141102,0.00005331479,0.009942844,0.00012945259,0.00010390181,0.0000059033396,0.9557312,0.0064435787,0.0007245865,0.013212161,0.012611224,0.00032770872],"about_ca_topic_score_codex":0.030248895,"about_ca_topic_score_gemma":0.00411433,"teacher_disagreement_score":0.70377517,"about_ca_system_score_codex":0.000981982,"about_ca_system_score_gemma":0.000042473563,"threshold_uncertainty_score":0.99944645},"labels":[],"label_agreement":null},{"id":"W4416818736","doi":"10.1016/j.scs.2025.107026","title":"Thermal performance-based urban climate zone mapping through multivariate time-series clustering: A case study of Seoul","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Ministry of Education; Seoul National University","keywords":"Urban heat island; Context (archaeology); Climate zones; Urbanization; Multivariate statistics; Climate change; Urban climate; Thermal","score_opus":0.00828344272301718,"score_gpt":0.21641839558832734,"score_spread":0.20813495286531017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416818736","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":[0.99487877,0.00006120829,0.0007196815,0.00006296021,0.000030675583,0.0004921331,0.0000058929436,0.000042850515,0.003705809],"genre_scores_gemma":[0.99154484,0.000029000425,0.0012023546,0.00011729433,0.000016982696,0.000045702476,0.0000048861652,0.000010563027,0.0070283934],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9990012,0.00005181295,0.00022095493,0.0002278545,0.00013419369,0.00036396744],"domain_scores_gemma":[0.9996578,0.000045205485,0.00006539107,0.00017177984,0.000028942328,0.00003088686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026762494,0.0001434422,0.00019187489,0.000018433058,0.00053537096,0.00004801701,0.00007802086,0.00006642299,0.0001306078],"category_scores_gemma":[0.000006902663,0.00012943339,0.000058623726,0.00021481409,0.00022181348,0.00038672506,0.0002565101,0.00010082336,0.0000024149774],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000244781,0.0006160183,0.59508353,0.0026603548,0.0002479585,0.00040443835,0.3673782,0.022060318,0.0025311413,0.0005090268,0.0049644043,0.0032997993],"study_design_scores_gemma":[0.0031088146,0.00062218466,0.07871518,0.00009830879,0.000095696516,0.000030826075,0.8555017,0.056193296,0.00093593384,0.000105339335,0.004167083,0.00042560862],"about_ca_topic_score_codex":0.0033048012,"about_ca_topic_score_gemma":0.000045437537,"teacher_disagreement_score":0.5163684,"about_ca_system_score_codex":0.00016161629,"about_ca_system_score_gemma":0.000032271488,"threshold_uncertainty_score":0.5278141},"labels":[],"label_agreement":null},{"id":"W4417259141","doi":"10.1016/j.scs.2025.107055","title":"Design of an innovative hydrogen ecosystem integrating renewable energy options with wastewater management for a sustainable city","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","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":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Biogas; Wastewater; Photovoltaic system; Solar energy; Sewage treatment; Waste-to-energy; Hydrogen fuel; Exergy","score_opus":0.004969582933180689,"score_gpt":0.2033336463580915,"score_spread":0.1983640634249108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417259141","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":[0.1251259,0.00085024186,0.86237353,0.00002304157,0.00004417498,0.00059980195,0.000012873908,0.00014307788,0.010827388],"genre_scores_gemma":[0.9624117,0.000114277806,0.0038265095,0.000023640589,0.00002274054,0.00022352555,0.000024208268,0.000022519951,0.033330902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.99895984,0.00003023189,0.00027070547,0.00020020237,0.00009106419,0.00044797928],"domain_scores_gemma":[0.9993057,0.00004191621,0.000051699495,0.0001861194,0.00037191334,0.000042637144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036422772,0.00018636454,0.00030562855,0.00008988251,0.0003125687,0.00008009517,0.00012745667,0.00008489814,0.0000063544358],"category_scores_gemma":[0.0000047333115,0.00015393957,0.000072617775,0.000388753,0.00006338557,0.00021439762,0.000055338063,0.000061717794,4.6109545e-8],"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":[0.00016167718,0.00008004607,0.00007077274,0.0080467565,0.0017692287,0.000023395914,0.0126198195,0.6277976,0.00038598414,0.34409636,0.0042319964,0.0007163451],"study_design_scores_gemma":[0.00089248625,0.0002005696,0.0000136264425,0.00021466301,0.0001410183,0.0000032996813,0.5637353,0.41357446,0.0020343785,0.012037893,0.0068219113,0.00033038174],"about_ca_topic_score_codex":0.0009867639,"about_ca_topic_score_gemma":0.000028423603,"teacher_disagreement_score":0.858547,"about_ca_system_score_codex":0.00016718525,"about_ca_system_score_gemma":0.00007154877,"threshold_uncertainty_score":0.62774736},"labels":[],"label_agreement":null},{"id":"W7114987023","doi":"10.1016/j.scs.2025.107063","title":"Mitigating urban heat exposure inequity with a seasonally adaptive machine-learning approach","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto Mississauga","keywords":"Urban heat island; Natural hazard; Hazard; Urban planning; Urban climate; Counterfactual thinking; Built environment; Urban area","score_opus":0.004657265738277266,"score_gpt":0.1850622034055992,"score_spread":0.18040493766732194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114987023","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":[0.93715125,0.00070233486,0.0044018496,0.00026388798,0.000018297698,0.00040284326,0.0000073627843,0.00009507833,0.056957092],"genre_scores_gemma":[0.968257,0.00004654388,0.0036562143,0.0003669701,0.000030427527,0.00005602925,0.000023422474,0.00001340056,0.027549988],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9988118,0.00007052829,0.00013577934,0.0003304334,0.00021783475,0.0004336404],"domain_scores_gemma":[0.99966747,0.000060729788,0.000035507008,0.00012097135,0.00003718694,0.00007811405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003106739,0.00017101892,0.00017333204,0.0000152547545,0.0007173116,0.00009980941,0.00009886958,0.00008969451,0.000076824224],"category_scores_gemma":[0.000028001234,0.00014261369,0.00006780063,0.00028816977,0.00032088163,0.00029285942,0.0002284755,0.00028122024,0.0000014935167],"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":[0.00008022623,0.00008559689,0.924256,0.0005110512,0.00013694608,0.000016405264,0.0317861,0.005410379,0.00023154584,0.02161246,0.0146793965,0.0011938793],"study_design_scores_gemma":[0.0037793245,0.0010248444,0.26283956,0.00024394665,0.000221164,0.000032541837,0.5454215,0.14174812,0.00056464755,0.007094434,0.035673734,0.0013562099],"about_ca_topic_score_codex":0.0009596615,"about_ca_topic_score_gemma":0.000037505735,"teacher_disagreement_score":0.6614165,"about_ca_system_score_codex":0.0002963673,"about_ca_system_score_gemma":0.00006473545,"threshold_uncertainty_score":0.58156174},"labels":[],"label_agreement":null},{"id":"W7117254738","doi":"10.1016/j.scs.2025.107089","title":"Drones and community-powered rapid neighborhood energy modeling: Demonstrated in a real-world case study","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CityGML; Workflow; Footprint; Energy planning; Energy modeling; Scalability; Data modeling; Energy (signal processing); Executable","score_opus":0.010137376331385077,"score_gpt":0.22841344273368622,"score_spread":0.21827606640230113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117254738","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":[0.9841448,0.0010679469,0.0084094815,0.000029670431,0.000046210997,0.00012970991,0.0000017470435,0.00015606894,0.0060143326],"genre_scores_gemma":[0.9967893,0.0014576146,0.00012510514,0.000049974467,0.000009536757,0.000037804533,0.000008742389,0.00001435027,0.0015075837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993488,0.000078772864,0.00017318915,0.000112409645,0.00004634101,0.00024044924],"domain_scores_gemma":[0.99969065,0.00006388902,0.000013773915,0.00014439473,0.000052193158,0.000035098445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024294025,0.00013433026,0.00017650492,0.00008904947,0.00044821505,0.00008186898,0.00005585444,0.00008039901,0.0000039083848],"category_scores_gemma":[0.000006596005,0.00014273539,0.000029779147,0.00036868028,0.000049372095,0.00014552413,0.00007779854,0.00024965944,9.488399e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021208129,0.00019349996,0.005482456,0.00050485623,0.00022110448,0.0002208306,0.022100048,0.907675,0.000009020681,0.059876937,0.0004587092,0.0032363066],"study_design_scores_gemma":[0.00054100686,0.000037018686,0.000109545,0.000021370302,0.000019901961,0.000011553211,0.2665208,0.72916,0.000006936938,0.0033155365,0.00013020846,0.00012609479],"about_ca_topic_score_codex":0.008191745,"about_ca_topic_score_gemma":0.0015154262,"teacher_disagreement_score":0.24442075,"about_ca_system_score_codex":0.00008126001,"about_ca_system_score_gemma":0.00004212146,"threshold_uncertainty_score":0.9984128},"labels":[],"label_agreement":null},{"id":"W774520142","doi":"10.1016/j.scs.2015.06.004","title":"Quasi real-time ZIP load modeling for Conservation Voltage Reduction of smart distribution networks using disaggregated AMI data","year":2015,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voltage reduction; Metering mode; Smart grid; Real-time computing; Energy conservation; Computer science; Energy (signal processing); Energy consumption; Reliability engineering; Reduction (mathematics); Voltage; Engineering; Automotive engineering; Simulation; Electrical engineering; Statistics; Mathematics","score_opus":0.030319901198172565,"score_gpt":0.23790116298307176,"score_spread":0.2075812617848992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W774520142","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":[0.42837015,0.0003882132,0.5703448,0.000048255795,0.00021422483,0.00028373543,0.000056217785,0.00014379977,0.00015058239],"genre_scores_gemma":[0.9955479,0.0005512867,0.001579679,0.000012791289,0.00022448676,0.000024119752,0.0012201171,0.000034530833,0.0008051218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908483,0.000016612048,0.00024322885,0.00019647669,0.00014851888,0.0003103247],"domain_scores_gemma":[0.99924165,0.000026518663,0.000058867117,0.00028688356,0.00032771003,0.00005836098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061433716,0.00013368524,0.00018411687,0.000016801465,0.00015179781,0.000059633956,0.00010563362,0.00010015418,0.0000019995846],"category_scores_gemma":[0.00005327668,0.00014815442,0.000048860766,0.00017329612,0.00006800512,0.0004633606,0.0001237552,0.00006799892,1.2087604e-7],"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":[0.000028070532,0.000016876627,0.000091344424,0.00038900136,0.00008553045,6.1360805e-7,0.0008132992,0.97747946,0.00011603204,0.0027101396,0.01804786,0.00022175207],"study_design_scores_gemma":[0.00041781223,0.000041558116,0.00002647587,0.000036031874,0.000060600472,0.0000012931386,0.020501096,0.9750718,0.00005461503,0.00073248846,0.0029059295,0.00015028994],"about_ca_topic_score_codex":0.0014958393,"about_ca_topic_score_gemma":0.000008320296,"teacher_disagreement_score":0.5687651,"about_ca_system_score_codex":0.0004756067,"about_ca_system_score_gemma":0.000073538096,"threshold_uncertainty_score":0.6041562},"labels":[],"label_agreement":null}]}