{"meta":{"query_hash":"46fd2c649536","filters":{"venue":"Procedia Engineering"},"cohort_total":128,"direct_labels_cover":0,"predictions_cover":128,"exported":128,"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/46fd2c649536","api":"https://metacan.xera.ac/api/v1/cohort?venue=Procedia+Engineering"},"results":[{"id":"W1109586990","doi":"10.1016/j.proeng.2015.07.238","title":"Attitudes Towards Physical Activity and Perceived Exertion in Three Different Multitask Cybercycle Navigational Environments","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Physical Activity and Health","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University; University of Calgary","funders":"","keywords":"Perceived exertion; Exertion; Psychology; Physical activity; Computer science; Human–computer interaction; Cognitive psychology; Applied psychology; Simulation; Physical medicine and rehabilitation; Physical therapy; Medicine","score_opus":0.040710207147130036,"score_gpt":0.29602619627912224,"score_spread":0.2553159891319922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1109586990","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":[0.9987317,0.000027482673,0.0006532186,0.00025400223,0.00003919703,0.00020747667,0.0000035760113,0.00003835134,0.000045048117],"genre_scores_gemma":[0.99940974,0.000013663232,0.0003208076,0.000014667597,0.00016727432,0.00004227272,0.000008739005,0.000013135292,0.000009731986],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993513,0.0000060813813,0.00007099161,0.00018284154,0.00021304181,0.00017569732],"domain_scores_gemma":[0.9996878,0.000032425018,0.000018260123,0.000070082584,0.000009752863,0.0001817094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004842782,0.00011623087,0.000219983,0.000039656086,0.00001910279,0.0000083765235,0.000027668726,0.000045021203,0.0000023056843],"category_scores_gemma":[0.00006385418,0.000102500664,0.00002650006,0.00005389872,0.000022559945,0.00016970132,0.000036433896,0.00022360236,0.0000075975067],"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":[0.00041639473,0.0050713373,0.18299584,0.00095062325,0.0000784569,0.000021212105,0.0039462843,0.0027347323,0.7646084,0.000516827,0.0000137697925,0.03864614],"study_design_scores_gemma":[0.0008627645,0.00011696918,0.9274821,0.000091109956,0.000013130338,0.0000046930068,0.000013121997,0.0643861,0.0067663775,0.00015185079,0.000015754818,0.00009597408],"about_ca_topic_score_codex":0.000061877785,"about_ca_topic_score_gemma":0.000016966913,"teacher_disagreement_score":0.757842,"about_ca_system_score_codex":0.00017944681,"about_ca_system_score_gemma":0.00003117154,"threshold_uncertainty_score":0.41798556},"labels":[],"label_agreement":null},{"id":"W1646414198","doi":"10.1016/j.proeng.2015.08.422","title":"Knowledge-based Approach for Sustainable Disaster Management: Empowering Emergency Response Management Team","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"Emergency management; Business; Process (computing); Government (linguistics); Livelihood; Process management; Sustainable development; Knowledge management; Environmental planning; Computer science; Political science; Economics; Geography; Economic growth","score_opus":0.01951450912741158,"score_gpt":0.2911656224657853,"score_spread":0.2716511133383737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1646414198","genre_codex":"other","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":[0.022531874,0.00066800194,0.36722264,0.00023164603,0.0009914195,0.0032015964,0.000002478709,0.00072694325,0.6044234],"genre_scores_gemma":[0.8936644,0.00004217042,0.019274134,0.00002493822,0.00029221547,0.00095089816,0.000011314124,0.000060322356,0.085679606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980772,0.00004211084,0.00026060446,0.00042004389,0.00038498463,0.0008150674],"domain_scores_gemma":[0.99926007,0.00004179287,0.000056363162,0.00025416948,0.00013867633,0.00024890853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014124122,0.00022204636,0.0001696944,0.0003278804,0.00026060117,0.00015119156,0.0005245249,0.00006427125,0.000020827258],"category_scores_gemma":[0.00015619224,0.00022908968,0.00009062301,0.00068925583,0.000051739073,0.00045665947,0.00019756045,0.00008188159,0.000027855223],"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":[0.0023583495,0.0019084516,0.004202544,0.01648593,0.0007257564,0.00014400609,0.14115442,0.18907082,0.0001672046,0.51405334,0.10652004,0.023209121],"study_design_scores_gemma":[0.0019241491,0.00012165048,0.00070608064,0.00011609666,0.00013153194,5.5234005e-7,0.100106485,0.05414449,0.000067519846,0.00078695075,0.84100634,0.00088816107],"about_ca_topic_score_codex":0.000011241118,"about_ca_topic_score_gemma":0.0000048863726,"teacher_disagreement_score":0.87113255,"about_ca_system_score_codex":0.00022535276,"about_ca_system_score_gemma":0.000052738123,"threshold_uncertainty_score":0.93420064},"labels":[],"label_agreement":null},{"id":"W1846058565","doi":"10.1016/j.proeng.2015.08.931","title":"Application of Energy Use Indicators to Evaluate Energy Dynamics in Canadian Water Distribution Systems","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Energy (signal processing); Energy consumption; Efficient energy use; Leakage (economics); Energy accounting; Performance indicator; Energy distribution; Distribution (mathematics); Environmental science; Environmental economics; Computer science; Engineering; Statistics; Business; Mathematics; Economics; Physics; Electrical engineering","score_opus":0.005692423253057095,"score_gpt":0.17154983663741102,"score_spread":0.16585741338435392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1846058565","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":[0.15880933,0.00017639837,0.8395195,0.000026171852,0.0006957847,0.00023983954,0.00006771915,0.00020675494,0.00025850593],"genre_scores_gemma":[0.9990988,0.0000075432404,0.00018929638,0.0000040238715,0.00006928503,0.00016047632,0.00039509963,0.000038284532,0.000037238002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909,0.000008317979,0.00028727239,0.00013922877,0.00014834401,0.00032680196],"domain_scores_gemma":[0.9994814,0.000007970576,0.000019944955,0.00014392435,0.000074005584,0.00027278997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017647704,0.00013720304,0.0001659034,0.00037575728,0.000011040297,0.000033694065,0.00009873754,0.00010115098,5.529269e-7],"category_scores_gemma":[0.000029952673,0.000130781,0.000017391792,0.00038258938,0.000003746955,0.00017551042,0.000016211243,0.000050815415,0.0000038911635],"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":[0.0000023203652,0.0000035828268,0.0035489644,0.00007492161,0.000009216089,0.0000010882519,0.00019381248,0.9932477,0.00019418266,0.002376484,0.00012899433,0.00021876224],"study_design_scores_gemma":[0.00012903278,0.000011281634,0.0006249038,0.000039556417,0.000005697062,0.0000031709294,0.000024109242,0.98441243,0.002891762,0.0000063400284,0.011691057,0.00016065441],"about_ca_topic_score_codex":0.075782456,"about_ca_topic_score_gemma":0.10727361,"teacher_disagreement_score":0.8402894,"about_ca_system_score_codex":0.00097118795,"about_ca_system_score_gemma":0.000036579462,"threshold_uncertainty_score":0.930372},"labels":[],"label_agreement":null},{"id":"W1885234456","doi":"10.1016/j.proeng.2015.10.085","title":"Enhanced Localization for Indoor Construction","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Environmental science; Architectural engineering; Engineering","score_opus":0.011702966122655423,"score_gpt":0.20219663523559747,"score_spread":0.19049366911294205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1885234456","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":[0.012992468,0.00020320949,0.9830179,0.00001610011,0.0008431698,0.00025739206,0.0000055710757,0.0020361491,0.0006280209],"genre_scores_gemma":[0.98274946,0.000025329327,0.016807206,0.000015084746,0.0001568407,0.00015551962,0.00002668603,0.000046380752,0.000017491151],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993942,0.000001580125,0.00017241313,0.00011912171,0.00009912029,0.00021357113],"domain_scores_gemma":[0.9996808,0.000021299837,0.000018128458,0.00009892027,0.00011610962,0.00006469673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007310853,0.00013186714,0.00012274979,0.00013570409,0.00002655744,0.000027704209,0.00008776432,0.00011508006,0.00000416354],"category_scores_gemma":[0.00024476738,0.00014357762,0.00002913112,0.0002573392,0.000016621054,0.00016612883,0.000012376324,0.00007562156,0.0000138972055],"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":[0.000010054384,0.0000066916277,0.00022585763,0.00028648757,0.00002597613,5.3044556e-7,0.00045180187,0.9714902,0.006385588,0.009077676,0.0012727657,0.010766392],"study_design_scores_gemma":[0.00048623848,0.0000273959,0.000017607043,0.000024279403,0.000010099826,0.000006275685,0.00017987235,0.73013175,0.2606014,0.00060032913,0.0076991436,0.0002156063],"about_ca_topic_score_codex":7.080713e-7,"about_ca_topic_score_gemma":8.1357206e-7,"teacher_disagreement_score":0.969757,"about_ca_system_score_codex":0.000088764085,"about_ca_system_score_gemma":0.000019633835,"threshold_uncertainty_score":0.58549255},"labels":[],"label_agreement":null},{"id":"W1887831862","doi":"10.1016/j.proeng.2015.08.975","title":"Flexibility Ranking of Water Distribution System Designs Under Future Mechanical and Hydraulic Uncertainty","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Flexibility (engineering); Ranking (information retrieval); Rank (graph theory); Adaptation (eye); Set (abstract data type); Computer science; Insert (composites); Engineering; Reliability engineering; Industrial engineering; Operations research; Civil engineering; Mechanical engineering; Mathematics; Statistics; Artificial intelligence","score_opus":0.018184052411408413,"score_gpt":0.19460011975039615,"score_spread":0.17641606733898774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1887831862","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":[0.2697317,0.00042366626,0.7280775,0.000037035832,0.0007989416,0.0002707759,0.0000137238985,0.00053993025,0.00010674167],"genre_scores_gemma":[0.99869233,0.000007972569,0.0009511618,0.0000023973605,0.00023769365,0.00002477448,0.000049225822,0.000028036435,0.000006399618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918675,0.00001231846,0.00026169585,0.00015645122,0.00016035109,0.00022241511],"domain_scores_gemma":[0.9996545,0.00001390249,0.000019690762,0.00012912713,0.000074386255,0.00010844925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033078992,0.00015372333,0.00021322035,0.00004424724,0.00002142878,0.000028400298,0.000073185925,0.00011554138,0.000001402982],"category_scores_gemma":[0.000017372085,0.00012235431,0.000030566673,0.0001029719,0.0000082472,0.00014754389,0.000030482583,0.000103447426,0.0000027838996],"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":[0.000008061723,0.0000048353954,0.000053725125,0.0007562188,0.000023743383,0.0000011793126,0.00042773894,0.9936139,0.0036341052,0.0012921595,0.00008721171,0.00009713777],"study_design_scores_gemma":[0.00037996133,0.000023647519,0.0001329544,0.00010310505,0.000022498249,0.000021411948,0.0002402523,0.9714389,0.026850063,0.000053886964,0.00054741773,0.00018590376],"about_ca_topic_score_codex":0.000013361147,"about_ca_topic_score_gemma":0.000008831923,"teacher_disagreement_score":0.72896063,"about_ca_system_score_codex":0.00015619404,"about_ca_system_score_gemma":0.000010141608,"threshold_uncertainty_score":0.4989464},"labels":[],"label_agreement":null},{"id":"W1891577001","doi":"10.1016/j.proeng.2015.10.129","title":"Moving Mesh Methods on Parametric Surfaces","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","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":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parametric statistics; Computer science; Parametric surface; Materials science; Geometry; Structural engineering; Computer graphics (images); Geology; Engineering; Mathematics; Statistics","score_opus":0.05319620201565372,"score_gpt":0.3426018668348024,"score_spread":0.2894056648191487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891577001","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016544133,0.0005955832,0.978992,0.000024286312,0.0007209424,0.00014556636,0.0000019036306,0.0011553555,0.0018202165],"genre_scores_gemma":[0.17911947,0.000017742354,0.8205727,0.000027289521,0.00012823069,0.000040140214,0.000001469409,0.000074166695,0.000018783012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892867,0.00002397051,0.00027395564,0.00019196134,0.00027012106,0.00031134806],"domain_scores_gemma":[0.9982713,0.0012417149,0.000033043234,0.00018238935,0.00007169095,0.00019985458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048653994,0.00023007362,0.0002641032,0.00022558124,0.0000212856,0.00003374686,0.00018825992,0.000074863616,0.0000063202283],"category_scores_gemma":[0.00277398,0.0002325587,0.00004680954,0.0007456322,0.000012946362,0.00015054161,0.000040291303,0.00027550632,0.000050637864],"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":[0.0000022134457,0.000011027109,0.000028733284,0.00013018686,0.000020971738,0.0000026511013,0.00011699046,0.9733325,0.00058410695,0.0023954082,0.0001405513,0.023234608],"study_design_scores_gemma":[0.000144141,0.000037048132,0.00007923409,0.00004619895,0.000009597838,0.000010001457,0.000034984438,0.9810679,0.007620588,0.00815549,0.0025135914,0.00028124996],"about_ca_topic_score_codex":4.2348955e-7,"about_ca_topic_score_gemma":2.585049e-8,"teacher_disagreement_score":0.16257533,"about_ca_system_score_codex":0.0001479049,"about_ca_system_score_gemma":0.000016741478,"threshold_uncertainty_score":0.94834685},"labels":[],"label_agreement":null},{"id":"W1921132877","doi":"10.1016/j.proeng.2015.08.272","title":"Computational Intelligence on Hydrodynamic Performance Characteristics of Emerged Perforated Quarter Circle Breakwater","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":10,"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":"Breakwater; Quarter (Canadian coin); Engineering; Materials science; Mechanics; Geotechnical engineering; Physics; History","score_opus":0.008059153257112506,"score_gpt":0.1753030060720607,"score_spread":0.1672438528149482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921132877","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":[0.9929936,0.000011549364,0.005926718,0.000031312706,0.0002971567,0.00007621377,0.000035321176,0.00005216433,0.0005759669],"genre_scores_gemma":[0.99894667,0.00000780327,0.00070834276,0.000016398737,0.000056388955,0.0000013163402,0.00021242913,0.0000050117624,0.000045648034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993019,0.0000049425166,0.00020130056,0.0001358133,0.00017972218,0.00017629692],"domain_scores_gemma":[0.99967414,0.000030337065,0.00004578139,0.00007492398,0.00008151556,0.00009332089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107977736,0.00010510076,0.00012608236,0.00007956058,0.000023112376,0.000014897988,0.000107474596,0.00003247472,0.000077472556],"category_scores_gemma":[0.000033269796,0.00009857552,0.000023085504,0.00015865469,0.000018276389,0.00013090004,0.000012301964,0.000107606626,0.00008408376],"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":[0.000042583797,0.00001781973,0.08385152,0.00010358787,0.000010402869,0.0000024494266,0.0003248735,0.8711394,0.000026787946,0.000025546136,0.000016702736,0.04443832],"study_design_scores_gemma":[0.00006857258,0.00012542258,0.21213815,0.00002111041,0.0000037689763,0.000007663814,0.000025269066,0.7873325,0.00007010761,0.000050268114,0.000055374945,0.00010184034],"about_ca_topic_score_codex":0.000064349886,"about_ca_topic_score_gemma":0.000026207228,"teacher_disagreement_score":0.12828662,"about_ca_system_score_codex":0.0000064009723,"about_ca_system_score_gemma":0.000034935845,"threshold_uncertainty_score":0.4019793},"labels":[],"label_agreement":null},{"id":"W1934840894","doi":"10.1016/j.proeng.2015.08.411","title":"Building Energy Consumption in US, EU, and BRIC Countries","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"BRIC; Energy consumption; China; Consumption (sociology); Business; Developing country; International trade; Economics; Economic growth; Engineering; Political science","score_opus":0.010497844461002739,"score_gpt":0.21565979487061435,"score_spread":0.2051619504096116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1934840894","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":[0.8786656,0.006237556,0.11343142,0.000041867792,0.00045188118,0.00013752474,0.0000019732051,0.00069137244,0.0003408049],"genre_scores_gemma":[0.99383044,0.00034067084,0.0056052203,0.00002554937,0.000091967784,0.00004702397,0.0000020616787,0.000037641814,0.0000194118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992701,0.0000047938693,0.00015775985,0.00014355431,0.0001266021,0.00029723454],"domain_scores_gemma":[0.99972534,0.00004345831,0.000012845479,0.00007609803,0.000027683327,0.00011458847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016255242,0.00015219416,0.00014736189,0.00021155537,0.000015509697,0.000059607144,0.00006506883,0.00006272532,0.0000046109494],"category_scores_gemma":[0.0000506168,0.00017377012,0.000012776098,0.0001720385,0.000011965568,0.00020178234,0.000027027003,0.00010676924,0.0000031400891],"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":[0.00001823126,0.000026276652,0.040802166,0.001280878,0.00005637852,0.000093021095,0.0008689252,0.9067512,0.009172408,0.03204288,0.0012678381,0.0076197744],"study_design_scores_gemma":[0.0010075743,0.000037277587,0.008565634,0.00021882047,0.00001808011,0.000061387334,0.000122030906,0.937936,0.008276961,0.00050768355,0.042640127,0.00060842565],"about_ca_topic_score_codex":0.00002081754,"about_ca_topic_score_gemma":0.0000035998976,"teacher_disagreement_score":0.115164846,"about_ca_system_score_codex":0.00019054688,"about_ca_system_score_gemma":0.000027164584,"threshold_uncertainty_score":0.708614},"labels":[],"label_agreement":null},{"id":"W1938740575","doi":"10.1016/j.proeng.2015.08.450","title":"A Building Information Management (BIM) Framework and Supporting Case Study for Existing Building Operations, Maintenance and Sustainability","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Building information modeling; Facility management; Documentation; Systems engineering; Information model; Process (computing); Construction engineering; Process management; Building design; Key (lock); Building management; Sustainability; Computer science; Engineering; Engineering management; Risk analysis (engineering); Scheduling (production processes); Architectural engineering; Software engineering; Operations management","score_opus":0.012360789326435506,"score_gpt":0.2648918829771005,"score_spread":0.25253109365066495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1938740575","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":[0.46933004,0.00010573547,0.52960306,0.0000202244,0.00016850325,0.000534759,0.0000023409314,0.00020960608,0.00002572069],"genre_scores_gemma":[0.84705144,0.000007733514,0.15253577,0.000008502535,0.00007562374,0.00029705654,0.0000023136122,0.00001814655,0.0000034367924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991272,0.0000062352096,0.00034256236,0.0001637666,0.00010285561,0.00025738112],"domain_scores_gemma":[0.9995113,0.000059692044,0.000033053508,0.00010136639,0.00018467072,0.00010993285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045266334,0.00016463628,0.00014205994,0.00015849018,0.00012244108,0.00019113552,0.00004621346,0.00006196755,7.1352116e-7],"category_scores_gemma":[0.00053072674,0.00017546419,0.000017529892,0.00018225057,0.000014413018,0.0007262695,0.00004357136,0.00015451675,2.5325608e-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":[0.00003197649,0.000041123705,0.0102852415,0.0039555775,0.00016749828,0.00010730193,0.01486275,0.56683385,0.00023062847,0.15989384,0.00008219686,0.24350803],"study_design_scores_gemma":[0.0006208666,0.000067180415,0.00029691227,0.0001118633,0.000044554632,0.000585005,0.021097215,0.97309035,0.00018943739,0.0027338802,0.00085608294,0.00030667076],"about_ca_topic_score_codex":0.000025939176,"about_ca_topic_score_gemma":0.00000730464,"teacher_disagreement_score":0.4062565,"about_ca_system_score_codex":0.00015536787,"about_ca_system_score_gemma":0.000020012023,"threshold_uncertainty_score":0.7155222},"labels":[],"label_agreement":null},{"id":"W1966348198","doi":"10.1016/j.proeng.2013.12.181","title":"Centrifugal Compressor Spiral Dry Gas Seal Simulation Working at Reverse Rotation","year":2013,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":16,"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":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Centrifugal compressor; Seal (emblem); Gas compressor; Spiral (railway); Dry gas; Rotation (mathematics); Petroleum engineering; Mechanical engineering; Materials science; Mechanics; Environmental science; Engineering; Marine engineering; Computer science; Physics; Chemistry; Chromatography; Geography","score_opus":0.009281080541120616,"score_gpt":0.19123814172141254,"score_spread":0.18195706118029192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966348198","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":[0.8359378,0.000781035,0.15817703,0.00010616377,0.0012081786,0.00066124107,0.000005461283,0.0022847378,0.00083837943],"genre_scores_gemma":[0.9926053,0.000038776856,0.006668993,0.000026835853,0.0003447804,0.00013165236,0.000032850065,0.00007401367,0.000076781405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988151,0.00000822555,0.00031542557,0.00022755805,0.00017457089,0.0004591028],"domain_scores_gemma":[0.9994338,0.00013925401,0.000039919236,0.00018563437,0.00005927358,0.00014210738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008310002,0.00025489065,0.0002018862,0.00018677356,0.00007895989,0.000046205096,0.00014282418,0.00015742541,0.00015685492],"category_scores_gemma":[0.00009932105,0.00029792445,0.000062884465,0.00030387114,0.000014116656,0.00039762174,0.00003977638,0.00027923888,0.00029453423],"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":[0.0000038133855,0.0000077562345,0.0049285013,0.00015078066,0.00002781973,0.0000022830557,0.0002297033,0.97947925,0.012804333,0.00008653533,0.00024193757,0.0020372786],"study_design_scores_gemma":[0.000363899,0.000010093863,0.016009668,0.000054651493,0.000016578324,0.0000058264714,0.00001818215,0.9714566,0.0060547367,0.000021032822,0.0056616706,0.00032707036],"about_ca_topic_score_codex":0.0000056206645,"about_ca_topic_score_gemma":0.0000023702967,"teacher_disagreement_score":0.15666755,"about_ca_system_score_codex":0.00019764854,"about_ca_system_score_gemma":0.000008579828,"threshold_uncertainty_score":0.9999473},"labels":[],"label_agreement":null},{"id":"W1966448314","doi":"10.1016/j.proeng.2014.02.220","title":"Measurement Uncertainty Analysis for Calibration of Gauge Blocks","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":5,"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":"Univerza v Mariboru; Ryerson University","keywords":"Metrology; Calibration; Standard uncertainty; Measurement uncertainty; Gauge (firearms); Uncertainty analysis; Accreditation; Block (permutation group theory); Dimensional metrology; Computer science; Reliability engineering; Engineering; Simulation; Mathematics; Statistics; Materials science","score_opus":0.1517822795866206,"score_gpt":0.337306711133128,"score_spread":0.18552443154650738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966448314","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":[0.08935603,0.000068725196,0.90927136,0.00017118867,0.00046362888,0.00033556065,0.000008802115,0.000045502486,0.0002792137],"genre_scores_gemma":[0.9966972,7.587607e-7,0.0029829247,0.000019328252,0.00011624218,0.000058543603,0.000014455801,0.0000071382183,0.00010344923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966209,0.000042212945,0.00061226304,0.00036314613,0.0021573151,0.00020417212],"domain_scores_gemma":[0.99775344,0.0003473667,0.00021844152,0.0003416768,0.0012579982,0.00008109153],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00980306,0.00011663263,0.00028450898,0.0005534558,0.00006373631,0.00009723224,0.00032422662,0.000050439947,0.00009641707],"category_scores_gemma":[0.010285222,0.000092625676,0.00019109392,0.0014810866,0.000017394263,0.00016478242,0.00002341666,0.000044916003,0.0000038605376],"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":[0.000038444105,0.00004434977,0.0132534625,0.000050339448,0.0001849413,4.3198295e-8,0.0005632468,0.9268144,0.042489238,0.00366082,0.0018585605,0.011042181],"study_design_scores_gemma":[0.0002865104,0.000038793958,0.003608559,0.00001456565,0.00014540096,1.1973563e-7,0.00005502092,0.978594,0.012663147,0.002061049,0.0024188291,0.00011398309],"about_ca_topic_score_codex":0.000014920992,"about_ca_topic_score_gemma":0.00007201713,"teacher_disagreement_score":0.9073411,"about_ca_system_score_codex":0.00006553587,"about_ca_system_score_gemma":0.0000633881,"threshold_uncertainty_score":0.9980516},"labels":[],"label_agreement":null},{"id":"W1967229845","doi":"10.1016/j.proeng.2013.03.211","title":"Influence of Chemical Composition and Heat Treatment on Long-term Creep Strength of Grade 91 Steel","year":2013,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":42,"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":"Environment and Climate Change Canada; Comer Science and Education Foundation","keywords":"Creep; Materials science; Nickel; Metallurgy; Microstructure; Chemical composition; Ultimate tensile strength; Composite material; Thermodynamics","score_opus":0.004204778221984815,"score_gpt":0.18577135126067232,"score_spread":0.1815665730386875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967229845","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":[0.9990085,0.00042187463,0.0001477062,0.000012871029,0.00003293014,0.00019473128,0.000008614433,0.000110650304,0.00006211621],"genre_scores_gemma":[0.999164,0.000100322664,0.00059675815,0.0000042988436,0.000045553636,0.000046834186,0.000012539813,0.000026319107,0.0000033975891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993969,0.0000025534905,0.00019941552,0.00012486684,0.0001089676,0.00016728225],"domain_scores_gemma":[0.9997069,0.00004237249,0.00001621656,0.00012203358,0.00003305349,0.00007940407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001795544,0.00017031589,0.0002196079,0.00007247268,0.000009162195,0.00001268862,0.00006513627,0.00007486959,0.000008046068],"category_scores_gemma":[0.0000073971573,0.0001540246,0.00003520765,0.00009366536,0.000018784898,0.000112642694,0.000012900383,0.000093915165,0.000003105525],"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":[0.000004520612,0.000051111278,0.0019526104,0.00038075104,0.000048339312,0.0000016898074,0.00023447142,0.11714526,0.87940145,0.00017473563,0.000008899263,0.0005961733],"study_design_scores_gemma":[0.00051478826,0.00013870861,0.054644123,0.00025062848,0.000029869427,0.000010655896,0.000008361464,0.041428763,0.902733,0.0000047962876,0.00001575225,0.00022052937],"about_ca_topic_score_codex":0.0000115397825,"about_ca_topic_score_gemma":7.463257e-7,"teacher_disagreement_score":0.075716496,"about_ca_system_score_codex":0.00004080664,"about_ca_system_score_gemma":0.0000052834307,"threshold_uncertainty_score":0.6280941},"labels":[],"label_agreement":null},{"id":"W1969898103","doi":"10.1016/j.proeng.2011.12.322","title":"Novel sliding mode control for MEMS-based resonators","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":4,"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":"Resonator; Microelectromechanical systems; Gyroscope; Phase-locked loop; Electronic engineering; Sliding mode control; Control theory (sociology); Materials science; Tracking (education); Stiffness; Engineering; Computer science; Optoelectronics; Physics; Control (management); Aerospace engineering; Phase noise; Nonlinear system","score_opus":0.019100684643208264,"score_gpt":0.21207252672972493,"score_spread":0.19297184208651666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969898103","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":[0.061634928,0.00049693766,0.9340997,0.000013517571,0.0004165242,0.00036977106,0.000028529408,0.0026350669,0.0003050646],"genre_scores_gemma":[0.8816148,0.000021175472,0.11785127,0.000015950427,0.00007832446,0.00031965433,0.0000033374517,0.000084915104,0.000010542334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913925,3.322847e-7,0.00019126147,0.00018225075,0.00008501256,0.0004018716],"domain_scores_gemma":[0.9996185,0.00007402248,0.00002251997,0.00017792055,0.000039345767,0.0000677383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007094527,0.00021429261,0.00020554794,0.00015671611,0.00003938469,0.000011540945,0.00017801866,0.0001253258,0.0000054870807],"category_scores_gemma":[0.00015239831,0.00022336985,0.00007060349,0.00015450263,0.00001100405,0.0001478244,0.00001412284,0.00016687575,0.0000037835064],"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":[0.000028548255,0.000029372219,0.000055582856,0.00048046335,0.00006337412,0.0000032027979,0.00024335085,0.24150698,0.7472277,0.006846249,0.00014452939,0.0033706182],"study_design_scores_gemma":[0.00097184937,0.00004455414,0.000119707576,0.00007027844,0.000022121232,0.0000040654495,0.0000383391,0.46964076,0.52395976,0.0004868411,0.0042441795,0.0003975453],"about_ca_topic_score_codex":0.0000036529218,"about_ca_topic_score_gemma":0.0000024207236,"teacher_disagreement_score":0.8199799,"about_ca_system_score_codex":0.00006239926,"about_ca_system_score_gemma":0.000011918557,"threshold_uncertainty_score":0.9108758},"labels":[],"label_agreement":null},{"id":"W1971229787","doi":"10.1016/j.proeng.2014.11.263","title":"Development of a 6×6 Element Air-Coupled Multiple Moving Membrane Capacitive Micromachined Ultrasonic Transducer Array, M3-CMUT, for High Resolution Detection Applications","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Manitoba Hydro; CMC Microsystems","keywords":"Capacitive micromachined ultrasonic transducers; Transducer; Ultrasonic sensor; Capacitive sensing; Acoustics; Stack (abstract data type); SIGNAL (programming language); Materials science; Vibration; Engineering; Electrical engineering; Computer science; Physics","score_opus":0.0050816733588494875,"score_gpt":0.17911562891336652,"score_spread":0.17403395555451703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971229787","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":[0.28056818,0.000072571616,0.71822673,0.000009866678,0.00013941944,0.0006876758,0.00002221261,0.0002478526,0.00002548998],"genre_scores_gemma":[0.86499935,0.000016866416,0.1337521,0.0000049756854,0.00014443515,0.0009280778,0.00008496295,0.00006393074,0.0000052971645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873644,0.0000063680836,0.00047155956,0.00026073257,0.00017388325,0.0003510364],"domain_scores_gemma":[0.9994115,0.00016414723,0.000080435406,0.0001482474,0.00011671044,0.00007893361],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003028559,0.0002449276,0.00024766318,0.00015919826,0.0001121488,0.000017630504,0.0001165112,0.0001019066,0.0000051970337],"category_scores_gemma":[0.00012714144,0.00027277422,0.00006755885,0.00022155179,0.000013599581,0.00012341865,0.0000075320772,0.00015870131,0.0000033229796],"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":[0.000011338346,0.000023818213,0.000011271449,0.0005883378,0.00005270445,3.3243715e-8,0.00057068386,0.19319673,0.7999197,0.00016252499,0.0000012695608,0.0054615745],"study_design_scores_gemma":[0.000488514,0.000021437661,0.00034171948,0.000053937965,0.000032274675,0.0000018048569,0.00004196164,0.47963718,0.5187529,0.00003982796,0.0003980576,0.00019040421],"about_ca_topic_score_codex":0.0000119414935,"about_ca_topic_score_gemma":0.00003959323,"teacher_disagreement_score":0.5844746,"about_ca_system_score_codex":0.00020472589,"about_ca_system_score_gemma":0.000032298398,"threshold_uncertainty_score":0.99997246},"labels":[],"label_agreement":null},{"id":"W1978922159","doi":"10.1016/j.proeng.2011.04.013","title":"Meso-scale analysis of angle-ply laminates","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; National Research Council Canada; University of British Columbia","funders":"","keywords":"Finite element method; Constitutive equation; Materials science; Viscoelasticity; Structural engineering; Nonlinear system; Boundary value problem; Scale (ratio); Stress (linguistics); Composite material; Mathematical analysis; Engineering; Mathematics; Physics","score_opus":0.01268743858376464,"score_gpt":0.18889665342030115,"score_spread":0.1762092148365365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978922159","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":[0.9678965,0.00048580422,0.028711256,0.0000027634935,0.00018673495,0.00011110323,0.000013094104,0.0006571297,0.0019355866],"genre_scores_gemma":[0.98443836,0.000022075243,0.015412032,0.0000031897475,0.000025611795,0.000028648754,0.0000089002915,0.000041476946,0.000019682153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991573,0.0000034869531,0.0002795725,0.0001516389,0.00015541192,0.00025260373],"domain_scores_gemma":[0.9995485,0.00004704511,0.000027482378,0.00022821195,0.000048425863,0.00010031723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008766901,0.00017202774,0.0003303272,0.00036916469,0.000011163475,0.00000874508,0.00021996268,0.00007963503,0.00017363536],"category_scores_gemma":[0.00003006886,0.00018114292,0.00013460738,0.00083316944,0.000012028069,0.00011233975,0.000034791068,0.00012570294,0.000015737092],"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":[0.000014782055,0.00013382453,0.024270378,0.00063955586,0.001434883,0.000017807237,0.002744652,0.07903638,0.8838029,0.0028960023,0.000120721874,0.004888151],"study_design_scores_gemma":[0.0001461115,0.00004558634,0.04985293,0.00003992489,0.0007980767,0.0000029939072,0.0000329353,0.34374744,0.6047384,0.000049935592,0.00018192417,0.00036369904],"about_ca_topic_score_codex":0.0000067798883,"about_ca_topic_score_gemma":0.000004051838,"teacher_disagreement_score":0.27906442,"about_ca_system_score_codex":0.000025620751,"about_ca_system_score_gemma":0.0000045585566,"threshold_uncertainty_score":0.7386794},"labels":[],"label_agreement":null},{"id":"W1979283649","doi":"10.1016/j.proeng.2014.11.755","title":"Performance Comparison of Zeotropic and Azeotropic Refrigerants in Evaporation Through Inclined Tubes","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zeotropic mixture; Refrigerant; Thermodynamics; Materials science; Evaporation; Mechanics; Gas compressor","score_opus":0.01133486266494248,"score_gpt":0.22872583842484878,"score_spread":0.2173909757599063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979283649","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":[0.9915437,0.0007574904,0.0069445116,0.000015202565,0.00015091976,0.00009833286,0.0000012468182,0.00014740104,0.00034120094],"genre_scores_gemma":[0.9981487,0.0003088807,0.0014247674,0.000003905411,0.000068131776,0.000018920642,0.0000031665827,0.0000210742,0.0000024611759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930745,0.0000052174237,0.00028919813,0.00011634654,0.00009779182,0.00018400665],"domain_scores_gemma":[0.99981815,0.000044956338,0.000006861573,0.00008029471,0.000024418001,0.00002530041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078478806,0.00013398624,0.0002619643,0.000082929866,0.00002279064,0.000008389786,0.00005509456,0.000054733486,0.0000015992434],"category_scores_gemma":[0.000040855204,0.00013222946,0.000016529624,0.00015700517,0.00001764617,0.00015757185,0.000011971534,0.00013605219,0.000002037429],"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":[0.00002470082,0.00006535326,0.42461568,0.004782372,0.000067232795,0.000001138313,0.00882039,0.46099368,0.07960686,0.00071920024,0.000039804232,0.02026359],"study_design_scores_gemma":[0.0004764542,0.000076041026,0.08312971,0.00019764533,0.000011616219,0.0000013206749,0.00004462704,0.87590754,0.039672304,0.000029735686,0.0002669508,0.00018602527],"about_ca_topic_score_codex":0.000007830242,"about_ca_topic_score_gemma":0.000012209856,"teacher_disagreement_score":0.4149139,"about_ca_system_score_codex":0.000022697894,"about_ca_system_score_gemma":0.000005497136,"threshold_uncertainty_score":0.53921604},"labels":[],"label_agreement":null},{"id":"W1982977513","doi":"10.1016/j.proeng.2014.09.041","title":"Dynamic Operator Training Simulators for Sulphuric Acid, Phosphoric Acid, and DAP Production Units","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Phosphoric acid; Production (economics); Operator (biology); Training (meteorology); Process engineering; Chemistry; Computer science; Engineering; Biochemistry; Organic chemistry; Physics; Meteorology","score_opus":0.016136425410269602,"score_gpt":0.2360288381018235,"score_spread":0.2198924126915539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982977513","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":[0.9858046,0.00031367713,0.011926025,0.00012074538,0.0013284346,0.00026748588,0.00001110493,0.00019600053,0.000031895877],"genre_scores_gemma":[0.99538666,0.000020768997,0.0039585843,0.000026246526,0.0002692437,0.00013426803,0.000011480174,0.00003929267,0.00015343071],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990365,0.000008237988,0.00021216582,0.00033264948,0.000107460335,0.0003029894],"domain_scores_gemma":[0.9995035,0.00007358578,0.000047986232,0.00014202663,0.00013050482,0.000102423066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026900362,0.00017252725,0.00018864659,0.000098980105,0.00013556931,0.00009753953,0.00009833638,0.00006233069,0.000017550223],"category_scores_gemma":[0.00087666954,0.00016533778,0.000027862114,0.00025094664,0.000019884128,0.0003116677,0.000030870106,0.00010569084,0.000011540099],"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":[0.000012693724,0.000013015738,0.000045368462,0.00013470565,0.000008233121,3.5964356e-7,0.0016342961,0.02644893,0.96876013,0.00044295038,0.000069949936,0.0024293372],"study_design_scores_gemma":[0.0004837093,0.00012655476,0.00035927095,0.0001027151,0.00004140078,0.00003502297,0.00051094196,0.560682,0.43206903,0.00009620285,0.0050428286,0.0004503142],"about_ca_topic_score_codex":0.000008181838,"about_ca_topic_score_gemma":0.000011995551,"teacher_disagreement_score":0.5366911,"about_ca_system_score_codex":0.000051563446,"about_ca_system_score_gemma":0.000034185025,"threshold_uncertainty_score":0.6742279},"labels":[],"label_agreement":null},{"id":"W1983908679","doi":"10.1016/j.proeng.2010.04.044","title":"Vibration at the wrist and elbow joints during the golf swing reveals shaft-specific swing kinematics","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Health Research Board","keywords":"Swing; Kinematics; Vibration; Torque; Structural engineering; Engineering; Elbow; Noise (video); Computer science; Physics; Mechanical engineering; Acoustics; Medicine; Anatomy","score_opus":0.0032695994573227467,"score_gpt":0.16079725388302743,"score_spread":0.15752765442570468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983908679","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":[0.990843,0.00056437275,0.0066673597,0.00015165807,0.0009590817,0.0003061835,0.000007800205,0.00034711746,0.00015342806],"genre_scores_gemma":[0.99693745,0.0002560866,0.0021121495,0.000021306932,0.0004546186,0.000047187208,0.000008439962,0.00008055326,0.00008219479],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886894,0.0000041842654,0.00032819307,0.00021690335,0.00021625501,0.0003655259],"domain_scores_gemma":[0.9994126,0.00008120521,0.00005315431,0.00033442496,0.00003713825,0.00008149905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033303638,0.00025210265,0.00018523665,0.00008697225,0.00023718177,0.00016779207,0.00021474635,0.00011482848,0.00003370515],"category_scores_gemma":[0.00006568817,0.00017562302,0.000055910277,0.00025786663,0.000025245496,0.00017367824,0.00012108185,0.00045400608,0.000013126395],"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":[0.000004890789,0.000007696262,0.0008077884,0.0004358167,0.000046092922,0.000008352787,0.0008625794,0.031909272,0.96334547,0.0011764498,0.00013568508,0.0012599101],"study_design_scores_gemma":[0.00029179174,0.000010083936,0.022252882,0.0001317795,0.000035881367,0.00016219389,0.00014601374,0.94378495,0.029499924,0.0001882397,0.0029605771,0.0005356634],"about_ca_topic_score_codex":0.0000021421263,"about_ca_topic_score_gemma":0.000020425145,"teacher_disagreement_score":0.9338455,"about_ca_system_score_codex":0.0000708399,"about_ca_system_score_gemma":0.0000067066585,"threshold_uncertainty_score":0.7161699},"labels":[],"label_agreement":null},{"id":"W1991841268","doi":"10.1016/j.proeng.2014.11.200","title":"Water Distribution System Performance Metrics","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Redundancy (engineering); Resilience (materials science); Range (aeronautics); Computer science; Efficient energy use; Metric (unit); Reliability engineering; Environmental science; Distributed computing; Engineering; Materials science","score_opus":0.0029870589023328316,"score_gpt":0.13137120589312357,"score_spread":0.12838414699079073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991841268","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":[0.20327479,0.00011077766,0.7918586,0.000007914896,0.0012336845,0.00014525256,0.000005122322,0.0014703424,0.0018934945],"genre_scores_gemma":[0.9988947,0.000010253573,0.0006210519,0.0000019393954,0.00027887183,0.000036575166,0.000059614227,0.00003646848,0.000060550192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933624,0.0000032795992,0.0001745906,0.00010586054,0.00012585464,0.00025414702],"domain_scores_gemma":[0.9997692,0.0000101058,0.0000095952055,0.00011512559,0.00003730153,0.00005866482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016218614,0.00012955614,0.00012520512,0.00007953031,0.00003392721,0.000046266214,0.00008999425,0.000064578715,0.0000028467932],"category_scores_gemma":[0.000016374337,0.000105347404,0.000024915906,0.00016836885,0.0000029023404,0.0001765779,0.00001689918,0.00008323468,0.00007272256],"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":[7.2962087e-7,0.0000019854185,0.00041849387,0.0009608806,0.0000102284075,4.0286687e-7,0.00009897695,0.9962863,0.0009647791,0.00040837354,0.0003527223,0.000496172],"study_design_scores_gemma":[0.00010393937,0.0000107494025,0.0003976499,0.000058509766,0.0000075851717,0.000009921601,0.000006472322,0.95855427,0.028357428,6.197452e-7,0.0123371,0.00015576843],"about_ca_topic_score_codex":0.0000015494484,"about_ca_topic_score_gemma":8.154883e-7,"teacher_disagreement_score":0.7956199,"about_ca_system_score_codex":0.0001017733,"about_ca_system_score_gemma":0.0000018119744,"threshold_uncertainty_score":0.42959425},"labels":[],"label_agreement":null},{"id":"W1993931216","doi":"10.1016/j.proeng.2015.02.023","title":"Total Life Approach for Fatigue Life Estimation of Welded Structures","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Structural engineering; Fracture mechanics; Weight function; Stress intensity factor; Welding; Paris' law; Division (mathematics); Materials science; Vibration fatigue; Crack closure; Constant (computer programming); Amplitude; Stress concentration; Fatigue testing; Engineering; Computer science; Mathematics; Composite material; Mathematical analysis; Physics","score_opus":0.02817086414525698,"score_gpt":0.22520432336071525,"score_spread":0.19703345921545826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993931216","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":[0.04422259,0.00068899425,0.9536418,0.000014303659,0.0004938648,0.00032789045,0.000014789262,0.00035096903,0.00024482372],"genre_scores_gemma":[0.8890738,0.000005210832,0.110534646,0.000011543002,0.00019547548,0.00007479582,0.00004908574,0.000050498493,0.000004933357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922955,0.0000026962573,0.0002505133,0.00013336402,0.00016248434,0.00022138887],"domain_scores_gemma":[0.9995201,0.00004084802,0.000036654932,0.00013812695,0.00006943974,0.00019479805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010973667,0.0001796125,0.00022681608,0.00010580348,0.000014872795,0.000018637647,0.00010952934,0.000115536226,0.0000034210238],"category_scores_gemma":[0.0005750424,0.0001801104,0.00005441743,0.00015151572,0.000006705557,0.00015388054,0.00001625743,0.00012580349,0.0000012674476],"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":[0.000008075548,0.000007663823,0.000012564653,0.00061682187,0.000039249488,1.6500928e-7,0.0005003886,0.9940028,0.0014954313,0.0015106959,0.00066637225,0.0011397663],"study_design_scores_gemma":[0.00039073595,0.000036913287,0.000070104055,0.000018811872,0.000022808892,0.000002983528,0.00008357664,0.9832671,0.015551555,0.00022909974,0.00013324803,0.00019305656],"about_ca_topic_score_codex":0.00000268893,"about_ca_topic_score_gemma":1.916999e-7,"teacher_disagreement_score":0.8448512,"about_ca_system_score_codex":0.000031854957,"about_ca_system_score_gemma":0.00004327026,"threshold_uncertainty_score":0.7344689},"labels":[],"label_agreement":null},{"id":"W1995294349","doi":"10.1016/j.proeng.2012.04.079","title":"Comparison of Optical and Inertial Tracking of Full Golf Swings","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":21,"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":"","keywords":"Inertial measurement unit; Engineering; Acceleration; Orientation (vector space); Kalman filter; Computer vision; Computer science; Artificial intelligence; Physics; Mathematics","score_opus":0.010968342301906771,"score_gpt":0.2275257069158262,"score_spread":0.21655736461391942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995294349","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":[0.9791368,0.0013094086,0.01900301,0.000003827762,0.00029085999,0.00006117825,0.000003321664,0.00009467343,0.0000969173],"genre_scores_gemma":[0.9932229,0.00002202276,0.0066168047,9.5574e-7,0.00010273487,0.00000364482,0.0000035147427,0.00002639751,0.0000010415389],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993449,8.666369e-7,0.0002556106,0.00006623335,0.00012460933,0.00020779321],"domain_scores_gemma":[0.9997482,0.00002060067,0.000029522998,0.000067851644,0.00003831689,0.00009551453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012879078,0.00010952832,0.00022551596,0.00009046276,0.000005952127,0.000005835373,0.000056929657,0.00007278818,0.0000033632075],"category_scores_gemma":[0.000040424708,0.00011168658,0.00002728768,0.00013926152,0.000011129831,0.000112457834,0.000026878593,0.00010242609,5.7960335e-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":[0.000017934397,0.00007151351,0.018531702,0.0011064387,0.00005699423,9.383733e-7,0.0019027304,0.05687782,0.9104385,0.003298387,0.000032055097,0.007665025],"study_design_scores_gemma":[0.00020304196,0.00003838436,0.004970643,0.000071567,0.000031061823,0.0000151520435,0.00011283463,0.8886347,0.10544101,0.000013616333,0.00027150847,0.0001965223],"about_ca_topic_score_codex":0.0000015738296,"about_ca_topic_score_gemma":6.6686243e-7,"teacher_disagreement_score":0.83175683,"about_ca_system_score_codex":0.000020954778,"about_ca_system_score_gemma":0.000006017634,"threshold_uncertainty_score":0.45544466},"labels":[],"label_agreement":null},{"id":"W1995651726","doi":"10.1016/j.proeng.2011.07.267","title":"Investigation of the Tube-gusset Connection in 600MPA Circular Hollow Section","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":12,"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":"Structural engineering; Chord (peer-to-peer); Connection (principal bundle); Engineering; Finite element method; High strength steel; Yield (engineering); Tube (container); Steel design; Mechanical engineering; Materials science; Computer science; Composite material","score_opus":0.014431150346770205,"score_gpt":0.16178716832738013,"score_spread":0.14735601798060993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995651726","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":[0.99748987,0.00012335158,0.001196324,0.000007412299,0.00060891174,0.00012094564,0.0000017440399,0.00021990674,0.00023150681],"genre_scores_gemma":[0.9991678,0.000011517087,0.00066962786,0.0000044665912,0.000082604136,0.00002526834,0.0000039762535,0.000028674505,0.0000060721804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933296,0.00000901915,0.00022674228,0.00013124714,0.00013318405,0.00016683726],"domain_scores_gemma":[0.9997049,0.000019932626,0.000033735065,0.00017031742,0.00003342993,0.000037681988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011281752,0.00012966795,0.00014494304,0.00019433344,0.000020878588,0.000009549278,0.00011680292,0.00008604736,0.000015654448],"category_scores_gemma":[0.0001057898,0.00011743559,0.00006437648,0.0006724938,0.000015241517,0.0001582719,0.000018792663,0.0002035594,0.0000031859468],"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":[0.0000033190079,0.0000031504117,0.075101845,0.00033265492,0.000061439314,0.0000013296889,0.0018369246,0.17536163,0.7469004,0.00015352231,0.000024280735,0.00021951602],"study_design_scores_gemma":[0.0001518959,0.000009245965,0.2430467,0.00007646406,0.000029909965,0.000010634552,0.00006138337,0.16096863,0.5953076,0.0001542413,0.0000253005,0.0001579851],"about_ca_topic_score_codex":0.00011492925,"about_ca_topic_score_gemma":0.000024467989,"teacher_disagreement_score":0.16794486,"about_ca_system_score_codex":0.00010138775,"about_ca_system_score_gemma":0.000010285638,"threshold_uncertainty_score":0.47888845},"labels":[],"label_agreement":null},{"id":"W1998233388","doi":"10.1016/j.proeng.2012.09.204","title":"Capacitive Micromachined Ultrasonic Transducer Array with Pencil Beam Shape and Wide Range Beam Steering","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","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":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Capacitive micromachined ultrasonic transducers; Transducer; Beam steering; Capacitive sensing; Materials science; Ultrasonic sensor; Acoustics; Pencil (optics); Beam (structure); Surface micromachining; Optics; Engineering; Electrical engineering; Physics; Fabrication","score_opus":0.005432135410990144,"score_gpt":0.16530730224931806,"score_spread":0.15987516683832792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998233388","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":[0.91136134,0.0023833825,0.08470851,0.000022707323,0.0002721954,0.00033490948,0.000024579726,0.0005216084,0.00037077302],"genre_scores_gemma":[0.99300784,0.00021436714,0.0062671616,0.000021816872,0.00023066487,0.00009271125,0.000017667831,0.00012367687,0.00002410983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986486,0.0000045129927,0.00023776006,0.00024046941,0.0002173089,0.00065136136],"domain_scores_gemma":[0.99940616,0.00013177881,0.000031982418,0.00014081445,0.000050617266,0.00023862372],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001973047,0.00036541958,0.00027926,0.00012048974,0.00007250048,0.00006318054,0.00011069807,0.000107201944,0.000036642094],"category_scores_gemma":[0.000076088094,0.00034394496,0.000046142766,0.00021979942,0.00003079226,0.0004886758,0.000010316475,0.00035847988,0.000011728827],"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":[0.000018124309,0.000038745584,0.0058322246,0.00077860116,0.00015061865,0.000004053046,0.004220047,0.047958765,0.9394307,0.000058018653,0.000037513226,0.0014725853],"study_design_scores_gemma":[0.0026877155,0.00023194408,0.06412135,0.0007852376,0.00039032134,0.00038357722,0.00077169325,0.19026631,0.73565745,0.000029890818,0.0020982772,0.002576232],"about_ca_topic_score_codex":0.000008978171,"about_ca_topic_score_gemma":0.0000046277582,"teacher_disagreement_score":0.20377326,"about_ca_system_score_codex":0.00011203656,"about_ca_system_score_gemma":0.000020207175,"threshold_uncertainty_score":0.99990124},"labels":[],"label_agreement":null},{"id":"W2000645103","doi":"10.1016/j.proeng.2011.11.2344","title":"Geotechnical Challenges and Strategies at McArthur River Operation","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cameco (Canada)","funders":"","keywords":"Geotechnical engineering; Mining engineering; Geology; Inflow; Groundwater","score_opus":0.026439312362223997,"score_gpt":0.18460635800274589,"score_spread":0.1581670456405219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000645103","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":[0.8840161,0.011186848,0.10025772,0.000016715809,0.000362175,0.0001956064,0.0000025144507,0.0010858075,0.0028765306],"genre_scores_gemma":[0.9928066,0.0030104131,0.0040180036,0.0000040771333,0.00007641157,0.00003381653,0.000001897892,0.000038548886,0.000010207795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945307,0.0000018140278,0.00012318762,0.0001495418,0.00007404401,0.00019837102],"domain_scores_gemma":[0.9997966,0.0000091944985,0.000008068914,0.00009799771,0.000017885093,0.000070199574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064303356,0.00013836325,0.00011234373,0.000059602753,0.000032616077,0.00001627959,0.000063168,0.000087229186,0.000010926204],"category_scores_gemma":[0.000009538004,0.0001436833,0.00002055857,0.000029401064,0.0000058078267,0.00021628628,0.000047889327,0.00011331666,0.000011089548],"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":[0.000010587996,0.000020782942,0.000013844192,0.0006930902,0.000071474606,0.000016161828,0.01041872,0.85268325,0.07756177,0.044183586,0.000049790106,0.014276941],"study_design_scores_gemma":[0.00013613548,0.000025694622,0.00033732766,0.00003524028,0.000011080911,0.000021241436,0.00010301342,0.98301107,0.014962388,0.0004587352,0.00066444074,0.0002336281],"about_ca_topic_score_codex":0.000002681792,"about_ca_topic_score_gemma":0.000004370312,"teacher_disagreement_score":0.13032784,"about_ca_system_score_codex":0.00002706342,"about_ca_system_score_gemma":0.000005785304,"threshold_uncertainty_score":0.5859235},"labels":[],"label_agreement":null},{"id":"W2000652723","doi":"10.1016/j.proeng.2010.09.141","title":"Characterization of an on-chip reconfigurable 3D optofluidic microlens by confocal laser scanning microscopy","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","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":"MicroResearch","keywords":"Microlens; Materials science; Microchannel; Microfluidics; Optofluidics; Lens (geology); Lab-on-a-chip; Optics; Optoelectronics; Multi-mode optical fiber; Microfabrication; Nanotechnology; Optical fiber; Fabrication","score_opus":0.0032923675447058464,"score_gpt":0.19035553059995775,"score_spread":0.1870631630552519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000652723","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":[0.99502045,0.00035393654,0.0022476343,0.000030217387,0.00048571418,0.00016034645,0.00004360644,0.001289116,0.00036895758],"genre_scores_gemma":[0.9972702,0.00018485833,0.0021202092,0.000027099055,0.00010314296,0.000039913684,0.000088887005,0.00009023893,0.00007541867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891585,0.0000045890797,0.00029258308,0.00025124385,0.00010626637,0.0004294736],"domain_scores_gemma":[0.9995082,0.000035048848,0.000047585236,0.00027541452,0.00004885446,0.000084878666],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014546762,0.00025678187,0.0002483222,0.00018516702,0.000047212376,0.00003978496,0.00023824257,0.00022963746,0.00003748011],"category_scores_gemma":[0.000080140126,0.00028449213,0.00004069163,0.00020909264,0.000037422007,0.00018617054,0.000014151955,0.0005402088,0.000025750205],"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":[0.000006846178,0.0000211757,0.00009616731,0.00013290404,0.000021444765,0.0000014262147,0.00011637516,0.00018876234,0.99531966,0.00003682641,0.0004965829,0.0035618476],"study_design_scores_gemma":[0.00023621545,0.00007866742,0.00012548454,0.0000862463,0.000011378353,0.000017098124,0.000014110299,0.003354063,0.9878018,0.000004390463,0.007986643,0.00028392536],"about_ca_topic_score_codex":0.000006402792,"about_ca_topic_score_gemma":9.649355e-7,"teacher_disagreement_score":0.007517864,"about_ca_system_score_codex":0.000032549993,"about_ca_system_score_gemma":0.000025463209,"threshold_uncertainty_score":0.9999607},"labels":[],"label_agreement":null},{"id":"W2001714940","doi":"10.1016/j.proeng.2010.09.038","title":"Polymer-based gas sensor on a thermally stable micro-cantilever","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","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":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"","keywords":"Materials science; Cantilever; Wafer; Polymer; Optoelectronics; Surface micromachining; Detector; Sensitivity (control systems); Electrode; Silicon; Nanotechnology; Electronic engineering; Composite material; Fabrication; Electrical engineering; Chemistry; Engineering","score_opus":0.004856162860892566,"score_gpt":0.18032987476733142,"score_spread":0.17547371190643885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001714940","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":[0.9910271,0.00017128779,0.0037873737,0.00011896298,0.00044271618,0.00016319193,0.000015448151,0.0034239364,0.00084994856],"genre_scores_gemma":[0.9853736,0.000015910271,0.014163854,0.00004752157,0.00014900848,0.000049159084,0.0000056674303,0.00012178649,0.00007350622],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886,0.0000014732624,0.00018949916,0.0002489205,0.0001621544,0.0005379689],"domain_scores_gemma":[0.9994152,0.00009258823,0.00002223217,0.00033745443,0.000030078594,0.000102454644],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000027366621,0.00029824107,0.00020613453,0.000137887,0.000031826334,0.000030328802,0.00024908772,0.00019806159,0.00006975648],"category_scores_gemma":[0.00013777454,0.00029846973,0.00006194082,0.00023532257,0.000032439715,0.00010269215,0.000027791177,0.0006757707,0.00008442135],"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":[0.000005878794,0.000013843449,0.00010045811,0.00010220958,0.000014591232,0.000009746338,0.000023863731,0.06485619,0.93319,0.00016860921,0.00012551417,0.0013891152],"study_design_scores_gemma":[0.00023302762,0.00001627673,0.00008280232,0.000036371526,0.000007475892,0.0000088616125,0.000011788996,0.051668357,0.9432557,0.000029601237,0.0043042167,0.0003455106],"about_ca_topic_score_codex":0.0000019924862,"about_ca_topic_score_gemma":0.0000016262799,"teacher_disagreement_score":0.0131878285,"about_ca_system_score_codex":0.000054950087,"about_ca_system_score_gemma":0.000007232069,"threshold_uncertainty_score":0.9999467},"labels":[],"label_agreement":null},{"id":"W2001939431","doi":"10.1016/j.proeng.2014.06.118","title":"Air Permeability of Sports Fabrics at Running Speeds","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Permeability (electromagnetism); Air permeability specific surface; Materials science; Composite material; Chemistry; Membrane","score_opus":0.010032467878731815,"score_gpt":0.21722129118443084,"score_spread":0.20718882330569902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001939431","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":[0.99531543,0.000038445007,0.0031164954,0.000043009684,0.0005335413,0.000104433035,0.000008565151,0.00015527046,0.0006848055],"genre_scores_gemma":[0.99585027,0.0000033506178,0.003859818,0.000014193793,0.00017218551,0.000010761525,0.0000061671094,0.000019986925,0.000063277075],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99905336,0.000008574927,0.00027296747,0.00019412204,0.00025161542,0.0002193658],"domain_scores_gemma":[0.99952817,0.00004356109,0.00007907542,0.0002097788,0.00007287329,0.00006651326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005809198,0.000113029346,0.00019048835,0.00005266211,0.000054082506,0.00001716854,0.00013254136,0.000048490005,0.00053692225],"category_scores_gemma":[0.00027745435,0.00010894933,0.00003898675,0.000103710365,0.000026582498,0.00008952342,0.00009236548,0.000039867147,0.000054134354],"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":[0.0000066284033,0.00001563995,0.0030477087,0.000229429,0.0000020945358,4.838805e-7,0.0005186044,0.027984785,0.96664876,0.00082939793,0.000090562295,0.0006259203],"study_design_scores_gemma":[0.0002714331,0.00004579927,0.0902876,0.00011374634,0.00002945606,0.000015724372,0.000036044225,0.048933044,0.85705245,0.00046819472,0.0024212985,0.00032521717],"about_ca_topic_score_codex":0.000006993313,"about_ca_topic_score_gemma":9.411227e-7,"teacher_disagreement_score":0.10959631,"about_ca_system_score_codex":0.000047624173,"about_ca_system_score_gemma":0.000017990676,"threshold_uncertainty_score":0.5878922},"labels":[],"label_agreement":null},{"id":"W2003166666","doi":"10.1016/j.proeng.2011.05.017","title":"Modeling the Impacts of Related Factors on Traffic Operation","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Traffic flow (computer networking); Selection (genetic algorithm); Process (computing); Transport engineering; Computer science; Engineering; Machine learning","score_opus":0.014867836150362244,"score_gpt":0.18685381346993793,"score_spread":0.17198597731957568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003166666","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":[0.9188834,0.0001198866,0.07460279,0.00000879206,0.00031517234,0.00022602866,0.000002125462,0.0040050014,0.0018368242],"genre_scores_gemma":[0.9992057,0.00008424918,0.0006263909,0.0000056780455,0.00001973027,0.000020064743,0.00000412958,0.000029997063,0.0000040642108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949217,0.0000030844988,0.00018371241,0.00008388866,0.00009670766,0.0001404276],"domain_scores_gemma":[0.9998013,0.000011648595,0.000012361685,0.00012321767,0.000015048988,0.00003644837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087586515,0.00011776229,0.000091513604,0.00011465982,0.000022617143,0.000009511081,0.000112736794,0.000054359836,0.00000994563],"category_scores_gemma":[0.000023778113,0.00008999115,0.000037673493,0.00013164555,0.0000066433336,0.00012089627,0.000010973913,0.0001411318,0.0000048797897],"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":[0.0000022192737,0.000011027678,0.000026776712,0.00006099925,0.000030084075,4.1630798e-7,0.0016807908,0.99400073,0.0016692195,0.0012606476,0.00014544146,0.0011116175],"study_design_scores_gemma":[0.00008294689,0.000028693154,0.00046622573,0.000037791477,0.000012066641,9.853354e-7,0.00008155404,0.9887572,0.010373948,0.0000069558873,0.00005794687,0.00009367988],"about_ca_topic_score_codex":0.000004166154,"about_ca_topic_score_gemma":0.0000018417963,"teacher_disagreement_score":0.08032232,"about_ca_system_score_codex":0.00002743258,"about_ca_system_score_gemma":0.000004286226,"threshold_uncertainty_score":0.36697322},"labels":[],"label_agreement":null},{"id":"W2004283614","doi":"10.1016/j.proeng.2010.04.005","title":"Relevance of similitude parameters for drag reduction in sport aerodynamics","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Drag; Drag coefficient; Aerodynamics; Reynolds number; Zero-lift drag coefficient; Wind tunnel; Parasitic drag; Boundary layer; Turbulence; Range (aeronautics); Mechanics; Aerospace engineering; Engineering; Lift-induced drag; Physics","score_opus":0.005576498883252007,"score_gpt":0.22152600600810937,"score_spread":0.21594950712485736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004283614","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":[0.9720197,0.00009455121,0.026558498,0.000017532286,0.0006585534,0.000374656,0.000016979839,0.00015470079,0.00010487843],"genre_scores_gemma":[0.9659992,0.00013369469,0.033573598,0.0000013268623,0.00006265894,0.00011732714,0.000025606512,0.00006591456,0.000020657984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894255,0.0000013250354,0.0003297595,0.00020525388,0.0001566234,0.00036447775],"domain_scores_gemma":[0.9995397,0.00006147857,0.000025858428,0.00022418432,0.00007307876,0.000075732605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002604419,0.0001663021,0.00022933795,0.00022353645,0.00001616799,0.000014565191,0.00018551221,0.00013360809,0.000002242541],"category_scores_gemma":[0.0001625381,0.0001938592,0.00006423105,0.0003147745,0.000033892098,0.00013472779,0.00002425812,0.00039921317,0.0000014282535],"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":[0.000012510194,0.000018957055,0.0009521899,0.0004506887,0.0000148692725,0.0000014056948,0.0001334346,0.7031925,0.29106337,0.002554481,0.000007097449,0.0015985598],"study_design_scores_gemma":[0.00023909437,0.000021563044,0.004554338,0.00003275605,0.000005012425,0.000006567252,0.000018784916,0.9910885,0.0034581588,0.00020951987,0.00017411874,0.00019155657],"about_ca_topic_score_codex":0.000011077082,"about_ca_topic_score_gemma":0.00010989383,"teacher_disagreement_score":0.2878961,"about_ca_system_score_codex":0.00007488781,"about_ca_system_score_gemma":0.00002782353,"threshold_uncertainty_score":0.7905349},"labels":[],"label_agreement":null},{"id":"W2004689154","doi":"10.1016/j.proeng.2014.02.064","title":"Integrating Data for Water Demand Management","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water resources management and optimization","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":true,"ca_institutions":"University of Toronto","funders":"Ministry of Environment","keywords":"Sustainability; Database; Computer science; Class (philosophy); Data access; Data management; Data science","score_opus":0.008885369615353411,"score_gpt":0.18125574624049443,"score_spread":0.17237037662514101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004689154","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":[0.009421823,0.000064686676,0.985762,0.00003111413,0.00029675744,0.00032269087,0.0000042602073,0.0006337682,0.0034628853],"genre_scores_gemma":[0.91109306,0.00002980307,0.087686,0.000024715702,0.00035293767,0.00012402736,0.00034093607,0.00008332286,0.00026517324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993238,0.0000022033316,0.00014850272,0.00018183638,0.0000790159,0.00026463578],"domain_scores_gemma":[0.9996406,0.000017143713,0.000008371586,0.0002820144,0.0000128770935,0.000039001014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019746137,0.00013640484,0.000102887156,0.0000976948,0.000034827688,0.000071691975,0.00028582982,0.00003144237,0.00000850136],"category_scores_gemma":[0.000019247427,0.00011240871,0.000020125874,0.0000632315,0.000003603348,0.0002107452,0.000117718075,0.000056099216,0.000017157754],"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":[0.0000029500195,0.0000053030185,0.00006516328,0.0010527486,0.00006482703,6.390165e-7,0.00023140476,0.98778033,0.0011268854,0.0014056759,0.0014958838,0.006768198],"study_design_scores_gemma":[0.0002094495,0.0000080469845,0.000028405459,0.000035471086,0.00002612271,5.937924e-7,0.0000154591,0.9138961,0.0031972514,0.000068258334,0.082356,0.00015884137],"about_ca_topic_score_codex":4.1251613e-7,"about_ca_topic_score_gemma":8.2512315e-7,"teacher_disagreement_score":0.9016713,"about_ca_system_score_codex":0.000017677803,"about_ca_system_score_gemma":4.4654078e-7,"threshold_uncertainty_score":0.4583894},"labels":[],"label_agreement":null},{"id":"W2005917629","doi":"10.1016/j.proeng.2014.10.473","title":"Effects of Daytime Running Lamps on Pedestrians Visual Reaction Time: Implications on Vehicles and Human Factors","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Safety Warnings and Signage","field":"Psychology","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":"Transport engineering; Engineering; Computer science; Simulation; Psychology","score_opus":0.007961560634147791,"score_gpt":0.26052705180584274,"score_spread":0.25256549117169497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005917629","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":[0.9971373,0.000026612885,0.0004908355,0.000035259134,0.0001088457,0.00016844455,0.0000016783232,0.00014449755,0.0018865201],"genre_scores_gemma":[0.999558,0.0000020023322,0.00006483285,0.000017818844,0.00012636464,0.00003240297,0.000011584001,0.00003213255,0.00015488207],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99936897,0.000013917583,0.00014869939,0.00021266966,0.00007917343,0.00017657316],"domain_scores_gemma":[0.99938756,0.00034980488,0.00007158235,0.00011354903,0.000017592141,0.000059928523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010846334,0.00013434848,0.00015915479,0.00013160349,0.00006787786,0.000012170874,0.00006335978,0.0000860348,0.000010631296],"category_scores_gemma":[0.00012164737,0.00013082847,0.000033293618,0.000101516205,0.000014420419,0.000044966426,0.0000140764705,0.00016489411,0.00003152077],"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":[0.000027378182,0.00011682814,0.007400373,0.00013467125,0.0000500142,0.0000011281084,0.0017712676,0.0003001581,0.97669894,0.010223359,0.0001380557,0.0031378206],"study_design_scores_gemma":[0.0006882108,0.00058281474,0.9725591,0.00013170353,0.000040223847,0.000003909813,0.00005554205,0.0014782491,0.022933964,0.000080866674,0.0012032983,0.00024210021],"about_ca_topic_score_codex":0.000021078384,"about_ca_topic_score_gemma":2.9066558e-7,"teacher_disagreement_score":0.96515876,"about_ca_system_score_codex":0.000020594769,"about_ca_system_score_gemma":0.0000041289045,"threshold_uncertainty_score":0.533503},"labels":[],"label_agreement":null},{"id":"W2007240287","doi":"10.1016/j.proeng.2012.04.115","title":"Simulation of the three-dimensional motion of a cricket ball using a volumetric contact model","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cricket; Ball (mathematics); Contact force; Drag; Simulation; Modular design; Software portability; Aerodynamics; Torque; Engineering; Mechanical engineering; Aerodynamic force; Computer science; Aerospace engineering; Physics; Classical mechanics; Mathematics","score_opus":0.0158553068576839,"score_gpt":0.20536510462758759,"score_spread":0.18950979776990368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007240287","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":[0.6385063,0.00022665942,0.36088267,9.982358e-7,0.0002328097,0.00009260837,0.0000072800362,0.000042754036,0.00000792429],"genre_scores_gemma":[0.99451697,0.0000027121564,0.0053909686,0.0000020674152,0.000051399908,0.0000033695037,0.0000033626911,0.000027676813,0.0000014978336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993477,0.000001660802,0.00022306069,0.000066912486,0.00018004728,0.00018060538],"domain_scores_gemma":[0.99968773,0.000033203516,0.000055897555,0.00011641108,0.00006705476,0.00003971696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001229442,0.00010890055,0.00013966709,0.00014866261,0.000014942109,0.000003943581,0.00007840924,0.000069515,0.000004844948],"category_scores_gemma":[0.00005838824,0.000092230315,0.00006429231,0.00041924912,0.0000049183554,0.0001366357,0.000030134825,0.00008445464,4.1670185e-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":[0.000002394168,0.000016019403,0.002625825,0.00014073777,0.000016030284,5.6459495e-8,0.00005970823,0.9535588,0.042961996,0.00022204136,0.000001058989,0.00039533427],"study_design_scores_gemma":[0.000105053405,0.0000049661066,0.0060787853,0.00004537758,0.000026548783,0.0000018117377,0.0000031344182,0.9896866,0.003912593,0.000035930876,0.00000402709,0.00009518554],"about_ca_topic_score_codex":0.0000069671264,"about_ca_topic_score_gemma":0.0000014745344,"teacher_disagreement_score":0.35601068,"about_ca_system_score_codex":0.000063694904,"about_ca_system_score_gemma":0.000012904681,"threshold_uncertainty_score":0.37610433},"labels":[],"label_agreement":null},{"id":"W2010297253","doi":"10.1016/j.proeng.2012.08.605","title":"Model Development to Access the Ageing of Polymeric Membranes Due to Chemical Cleaning","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Polymer Science and PVC","field":"Materials Science","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":"University of British Columbia","funders":"","keywords":"Membrane; Ageing; Materials science; Polymeric membrane; Chemical engineering; Nanotechnology; Composite material; Engineering; Chemistry; Polymer; Medicine","score_opus":0.026105736046226565,"score_gpt":0.2543227693174674,"score_spread":0.22821703327124082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010297253","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":[0.96178067,0.0002700725,0.037109453,0.00013560565,0.00027042173,0.00012697453,0.0000016036948,0.00007349879,0.00023171907],"genre_scores_gemma":[0.9869127,0.0000017423458,0.012650352,0.0002193299,0.00012643273,0.000052983516,4.701542e-7,0.0000146927905,0.000021295251],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892414,0.000004321167,0.0001987349,0.00016484379,0.0002515603,0.00045642897],"domain_scores_gemma":[0.99954826,0.000046587378,0.000033774308,0.00015290568,0.000023601413,0.00019488824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027299693,0.000118928256,0.00014318441,0.00007859701,0.00006284529,0.000056900222,0.0005594941,0.000027952578,0.000022359374],"category_scores_gemma":[0.00012414501,0.00008969723,0.000021877466,0.0003825551,0.00001400013,0.00039757203,0.00026049963,0.000059352307,0.000058312733],"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":[0.0000039697884,0.000009337956,0.000117132964,0.000053718763,0.0000021460935,7.361033e-7,0.004472427,0.016632283,0.9759676,0.000080200254,0.000019800646,0.0026406785],"study_design_scores_gemma":[0.00003291636,0.0000044244935,0.0006912183,0.00004072226,0.0000038731746,0.000010009343,0.000052364398,0.013363323,0.9854431,0.000003543938,0.00021514017,0.00013932271],"about_ca_topic_score_codex":0.000016175025,"about_ca_topic_score_gemma":0.0000011134606,"teacher_disagreement_score":0.02513205,"about_ca_system_score_codex":0.000027571505,"about_ca_system_score_gemma":0.00005410084,"threshold_uncertainty_score":0.3657747},"labels":[],"label_agreement":null},{"id":"W2019433114","doi":"10.1016/j.proeng.2011.12.014","title":"A novel dynamic pull-in MEMS gyroscope","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gyroscope; Accelerometer; Acceleration; Microelectromechanical systems; Voltage; Physics; Vibrating structure gyroscope; Equivalent circuit; Nonlinear system; Materials science; Acoustics; Optoelectronics; Classical mechanics","score_opus":0.012059541660379662,"score_gpt":0.19192554846070298,"score_spread":0.1798660068003233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019433114","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":[0.89170045,0.0016119917,0.09907228,0.000013638201,0.0007581965,0.0003013205,0.000006940978,0.0035037452,0.0030314357],"genre_scores_gemma":[0.95915204,0.00023050644,0.040384926,0.0000052547944,0.000025081139,0.00009938337,0.0000018724512,0.00006554255,0.000035372446],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991866,2.6634572e-7,0.00018394674,0.00017317416,0.0000759032,0.0003801413],"domain_scores_gemma":[0.9997308,0.000015189508,0.00001342457,0.00017759028,0.000012508744,0.00005045679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050073108,0.00019023073,0.0001727024,0.00019974702,0.000013465946,0.00000923745,0.00018127955,0.00010941787,0.00001643152],"category_scores_gemma":[0.000057529036,0.00020121422,0.00003120073,0.00030634415,0.000014393888,0.00019133347,0.000039129307,0.00025712323,0.000023621982],"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":[0.000003494885,0.00002758926,0.00014723052,0.0001874779,0.000016405038,0.00001557706,0.00041872717,0.027788254,0.9650133,0.0005545607,0.000021177795,0.005806154],"study_design_scores_gemma":[0.0010950152,0.00008706226,0.012506144,0.00032679268,0.000019379115,0.0000775165,0.0002566014,0.21668519,0.7625669,0.0008904923,0.004134799,0.0013540866],"about_ca_topic_score_codex":0.000009113939,"about_ca_topic_score_gemma":0.000025072719,"teacher_disagreement_score":0.20244643,"about_ca_system_score_codex":0.00007951716,"about_ca_system_score_gemma":0.000006920035,"threshold_uncertainty_score":0.8205278},"labels":[],"label_agreement":null},{"id":"W2019718377","doi":"10.1016/j.proeng.2011.08.845","title":"The Application of Principal Component Analysis on Financial Analysis in Real Estate Listed Company","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":11,"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":"Principal component analysis; Real estate; Financial analysis; Business; Finance; Financial ratio; Accounting; Quarter (Canadian coin); Computer science; Artificial intelligence; Geography","score_opus":0.022891168073232628,"score_gpt":0.24232711238499408,"score_spread":0.21943594431176144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019718377","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":[0.56992537,0.000028210721,0.42766425,0.000008678699,0.00006250725,0.00022643895,0.000008330559,0.00018004338,0.0018961986],"genre_scores_gemma":[0.9959339,0.00018060768,0.003739775,0.0000038391,0.000016363598,0.00006740459,0.000036092362,0.000015038381,0.0000070044057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991228,0.000012289257,0.00037036935,0.0001405157,0.00018776544,0.00016623885],"domain_scores_gemma":[0.9995543,0.000062054605,0.0000579339,0.0002077135,0.0000701373,0.00004790944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025487808,0.00012073175,0.00023626977,0.00050121086,0.000028982744,0.000011585812,0.00013791777,0.000049519513,0.000010957158],"category_scores_gemma":[0.00004273767,0.00010865319,0.00010166591,0.0018879678,0.000013333321,0.000057043668,0.000014803026,0.00010942246,0.000004108717],"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":[0.000010512836,0.000021286027,0.006905159,0.000024300605,0.00021736001,3.3018446e-7,0.00087346305,0.9888255,0.00024879276,0.0010495835,0.0000023007076,0.0018214238],"study_design_scores_gemma":[0.0001253768,0.000007559352,0.17690045,0.0000038139613,0.00022114032,8.549179e-8,0.0000133797885,0.8219156,0.00065205805,0.000008345387,0.000062746556,0.00008940211],"about_ca_topic_score_codex":0.000068436755,"about_ca_topic_score_gemma":0.0003044573,"teacher_disagreement_score":0.42600852,"about_ca_system_score_codex":0.000065966735,"about_ca_system_score_gemma":0.000014227797,"threshold_uncertainty_score":0.44307485},"labels":[],"label_agreement":null},{"id":"W2020567666","doi":"10.1016/j.proeng.2010.04.171","title":"Poster Session I, July 14th 2010 — Abstracts Design of an ergometer to train and evaluate elite crosscountry skiiers","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rowing; Kinematics; Work (physics); Simulation; Displacement (psychology); Computer science; Engineering; Mechanical engineering; Physics; Psychology","score_opus":0.010994421453310171,"score_gpt":0.26695857818096164,"score_spread":0.2559641567276515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020567666","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":[0.99764735,0.00007140178,0.000830102,0.00011350292,0.0007866109,0.00029951334,0.000008718651,0.0000527925,0.00018998572],"genre_scores_gemma":[0.9828392,0.000022707512,0.016311174,0.00017666114,0.0003629603,0.000018803183,0.0000074784207,0.00003339701,0.00022761742],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99908686,0.0000024377123,0.0002641075,0.00020466135,0.00019634861,0.00024556625],"domain_scores_gemma":[0.9994059,0.00002383861,0.00005219025,0.00019995857,0.000088606575,0.00022947443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003595165,0.00015609518,0.00022174823,0.00013566096,0.000028871038,0.000028097978,0.00007186665,0.00010011072,0.000049127662],"category_scores_gemma":[0.00008712201,0.00012984339,0.000028558203,0.00010538259,0.000027449478,0.00023129373,0.00002705996,0.00028901393,0.00000807854],"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":[0.0008795339,0.00012209892,0.007548052,0.0012183229,0.00007340461,0.000041531854,0.0058509954,0.004846892,0.95346767,0.0000074525146,0.0010277475,0.024916299],"study_design_scores_gemma":[0.0021108086,0.0011851406,0.73684454,0.0009829707,0.00015432385,0.00037974335,0.000089016794,0.045424767,0.19779596,0.000021014528,0.014304611,0.0007070817],"about_ca_topic_score_codex":0.0000067589613,"about_ca_topic_score_gemma":0.0000017266583,"teacher_disagreement_score":0.75567174,"about_ca_system_score_codex":0.00001213368,"about_ca_system_score_gemma":0.00004917432,"threshold_uncertainty_score":0.52948594},"labels":[],"label_agreement":null},{"id":"W2024677653","doi":"10.1016/j.proeng.2012.09.092","title":"A CMOS Oscillators-Based Smart Temperature Sensor for Low-Power Low-Cost Systems","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","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":"Australian Research Data Commons; National Science Council; Sustainable Development Technology Canada","keywords":"Ring oscillator; Delay line oscillator; Comparator; CMOS; Electronic engineering; Amplifier; Electrical engineering; Computer science; Engineering; Local oscillator; Voltage; Radio frequency","score_opus":0.007511020988117426,"score_gpt":0.18826271580866796,"score_spread":0.18075169482055053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024677653","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":[0.23237649,0.0057657356,0.7481649,0.000012448417,0.0073702624,0.0024806412,0.00016951114,0.0028400505,0.00081997877],"genre_scores_gemma":[0.9979491,0.000012645495,0.0003403962,0.000044641045,0.00081196486,0.00050786906,0.000036108147,0.00017153808,0.00012572334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829286,0.000009811588,0.00033231018,0.00025698383,0.00022619829,0.0008818504],"domain_scores_gemma":[0.99912065,0.00014602048,0.000035894987,0.0002583692,0.00010048689,0.0003385574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028887705,0.00040521033,0.00037801234,0.00018792239,0.00007882062,0.00008564756,0.000166986,0.00025953643,0.000018226929],"category_scores_gemma":[0.00012759781,0.00040671878,0.00014569487,0.00029542856,0.000014769312,0.00025939464,0.000011109327,0.00030863998,0.00007974667],"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":[0.000036381698,0.000106712876,0.0023210817,0.0054326104,0.0002621837,0.000015884332,0.00086604053,0.7530363,0.22252496,0.0051860693,0.009753765,0.0004580212],"study_design_scores_gemma":[0.0040520746,0.00019327593,0.0020416018,0.0018692974,0.00031651155,0.00016510213,0.00048319518,0.71311235,0.14929946,0.000046690217,0.12396105,0.004459412],"about_ca_topic_score_codex":0.0000027092287,"about_ca_topic_score_gemma":5.297178e-7,"teacher_disagreement_score":0.7655726,"about_ca_system_score_codex":0.00015934791,"about_ca_system_score_gemma":0.000040586878,"threshold_uncertainty_score":0.9998385},"labels":[],"label_agreement":null},{"id":"W2026518616","doi":"10.1016/j.proeng.2014.11.461","title":"A Non-oscillatory Preissmann Slot Method Based Numerical Model","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Numerical models; Mechanics; Computer science; Computer simulation; Engineering; Physics","score_opus":0.0037283639938840976,"score_gpt":0.19439159476234058,"score_spread":0.19066323076845648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026518616","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":[0.03574336,0.000064734704,0.96218055,0.000028136967,0.00028156536,0.00011964078,0.0000071334616,0.0006442848,0.0009305646],"genre_scores_gemma":[0.8083046,0.0000040314358,0.19134976,0.00004913356,0.00013424431,0.00003925917,0.000015644204,0.00007774792,0.00002556762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990158,0.000004456699,0.00022584696,0.00023016894,0.00020001232,0.0003236785],"domain_scores_gemma":[0.99950534,0.00010529539,0.000016817388,0.00017729217,0.000050468778,0.00014476273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017735161,0.00023160237,0.00021571755,0.00013233595,0.00003287994,0.000033272638,0.00016632631,0.00008342549,0.0000052823734],"category_scores_gemma":[0.000055979872,0.0002590515,0.00007892435,0.00021852525,0.0000062063878,0.000095377145,0.00003274907,0.00021229289,0.000020823158],"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":[0.0000017956035,0.000008925935,0.000054490145,0.0001443717,0.0000146119,7.5878864e-7,0.000041694777,0.9910186,0.0036471665,0.0031225232,0.000063691885,0.0018814009],"study_design_scores_gemma":[0.00021465318,0.000015041597,0.00069770205,0.000028406961,0.000011867852,0.000004057614,0.0000012637075,0.9977312,0.00030997687,0.00025718778,0.00042250552,0.00030611097],"about_ca_topic_score_codex":0.0000015363395,"about_ca_topic_score_gemma":7.070852e-7,"teacher_disagreement_score":0.77256125,"about_ca_system_score_codex":0.000088416244,"about_ca_system_score_gemma":0.000030343914,"threshold_uncertainty_score":0.9999862},"labels":[],"label_agreement":null},{"id":"W2026716146","doi":"10.1016/j.proeng.2011.07.246","title":"The Mechanism of Design Activity Overlapping in Construction Projects and the Time-Cost Tradeoff Function","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Rework; Function (biology); Computer science; Scheduling (production processes); Operations research; Mathematical optimization; Mechanism (biology); Risk analysis (engineering); Engineering; Mathematics; Business","score_opus":0.0157418044137386,"score_gpt":0.15630443042214628,"score_spread":0.1405626260084077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026716146","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":[0.77061665,0.0003304478,0.21982434,0.0005033959,0.0013126231,0.0028713294,5.274423e-7,0.00032237798,0.0042183036],"genre_scores_gemma":[0.99902755,0.000021994587,0.0006996399,0.000020545493,0.00012901555,0.000070361086,0.0000011017265,0.00001122567,0.00001854492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995172,0.000006798864,0.0001298218,0.00011831288,0.00009512026,0.00013276862],"domain_scores_gemma":[0.99974513,0.000046012236,0.0000961126,0.000068826084,0.000039975268,0.0000039426395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005771014,0.00008862131,0.000096140306,0.000102489124,0.00008836785,0.000049375114,0.00006968352,0.00003351232,0.0000058086835],"category_scores_gemma":[0.00017990584,0.000058866863,0.000015155536,0.000304114,0.00003154836,0.00053192605,0.000034423992,0.00008447831,0.0000042746506],"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":[0.00313149,0.00017892163,0.011978565,0.0018346244,0.00028354948,0.000004174977,0.008470942,0.0044693397,0.08115279,0.7148915,0.0003877809,0.17321631],"study_design_scores_gemma":[0.0044359183,0.000029003588,0.057972413,0.000281726,0.00017012609,0.000014418873,0.0010126504,0.88662416,0.028327078,0.018983059,0.0014347117,0.00071476185],"about_ca_topic_score_codex":0.000023601948,"about_ca_topic_score_gemma":0.0000034732996,"teacher_disagreement_score":0.8821548,"about_ca_system_score_codex":0.000015157628,"about_ca_system_score_gemma":0.000015270558,"threshold_uncertainty_score":0.2400521},"labels":[],"label_agreement":null},{"id":"W2027516789","doi":"10.1016/j.proeng.2012.07.357","title":"Compressive Properties of Nanoclay/Epoxy Nanocomposites","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":75,"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":"Composites Innovation Centre","keywords":"Epoxy; Materials science; Compressive strength; Exfoliation joint; Composite material; Nanocomposite; Montmorillonite; Compression (physics); Dispersion (optics); Graphene; Nanotechnology","score_opus":0.013672413190812185,"score_gpt":0.1901221720312801,"score_spread":0.1764497588404679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027516789","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":[0.9804621,0.017808517,0.0003555678,0.00003395223,0.0005296917,0.00020243382,0.000008300039,0.00018046128,0.0004189789],"genre_scores_gemma":[0.9964826,0.000025327361,0.0030602512,0.000027165172,0.00022113751,0.00005858964,0.0000019297518,0.00003088527,0.00009207838],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988668,0.000015736114,0.00028888273,0.00015565094,0.00020889011,0.00046405656],"domain_scores_gemma":[0.9995048,0.000033350676,0.0000928593,0.00017924963,0.00006658385,0.00012315919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015003554,0.00018888485,0.00025913314,0.00008461731,0.00006583742,0.000035974055,0.0002512231,0.000059997576,0.000069360794],"category_scores_gemma":[0.0000441014,0.00014631495,0.000061362494,0.00013060913,0.000055665867,0.00045674105,0.00012133676,0.00008149091,0.00007259664],"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":[0.000016430706,0.000047736594,0.0025571361,0.00029818495,0.00001183484,4.737442e-7,0.0012234795,0.00047882152,0.99483323,0.00029789167,0.000045854667,0.00018891346],"study_design_scores_gemma":[0.00014810025,0.00003311244,0.0007772018,0.00017870664,0.00001826688,0.000021487498,0.000040048584,0.0008781559,0.9962268,0.0000037299171,0.001465535,0.0002088807],"about_ca_topic_score_codex":0.000032761436,"about_ca_topic_score_gemma":3.2871802e-7,"teacher_disagreement_score":0.01778319,"about_ca_system_score_codex":0.000022749819,"about_ca_system_score_gemma":0.0000236722,"threshold_uncertainty_score":0.5966551},"labels":[],"label_agreement":null},{"id":"W2027871359","doi":"10.1016/j.proeng.2011.07.134","title":"Dynnamic Analysis of Suspeension Bridges and Full Scale Testing","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":4,"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":"Tangent stiffness matrix; Tangent; Structural engineering; Vibration; Nonlinear system; Deflection (physics); Stiffness; Engineering; Bridge (graph theory); Stiffness matrix; Mathematics; Geometry; Physics; Classical mechanics","score_opus":0.01405577215967979,"score_gpt":0.17910507311813814,"score_spread":0.16504930095845835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027871359","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":[0.87479347,0.00034628552,0.12405717,0.0000023284304,0.00009019215,0.000046721492,0.000006415327,0.00042790666,0.00022951],"genre_scores_gemma":[0.98490286,0.000038326,0.014980357,0.0000027306385,0.00002487088,0.0000061900805,0.000009137109,0.000029432666,0.0000061109085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928415,0.0000028731167,0.00025360452,0.00015737842,0.00010953292,0.00019246207],"domain_scores_gemma":[0.999637,0.000048022728,0.000029837951,0.00013981709,0.000060270217,0.00008506369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007203115,0.00016625154,0.00029358207,0.00036325544,0.00002027768,0.000012019358,0.000078829056,0.000060442497,0.000025781066],"category_scores_gemma":[0.00006173874,0.00017037448,0.00007424923,0.0011032575,0.000019560142,0.000117588344,0.000022537042,0.00010149611,0.000001594977],"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":[0.000003339562,0.000004917113,0.008431596,0.00020664597,0.0004469776,0.0000019784216,0.0005921418,0.9201812,0.06354764,0.00010173603,0.0000059332106,0.0064758887],"study_design_scores_gemma":[0.000069678536,0.000014485306,0.093704075,0.000023918883,0.0003067787,0.0000061300357,0.000055344342,0.89414144,0.011495033,0.0000059420263,0.000008045689,0.00016914477],"about_ca_topic_score_codex":0.000042333235,"about_ca_topic_score_gemma":0.000023250868,"teacher_disagreement_score":0.11010937,"about_ca_system_score_codex":0.000025391144,"about_ca_system_score_gemma":0.0000036893232,"threshold_uncertainty_score":0.69476694},"labels":[],"label_agreement":null},{"id":"W2028933889","doi":"10.1016/j.proeng.2011.05.095","title":"Development of an ergonomic musculoskeletal model to estimate muscle forces during vertical jumping","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biceps; Jumping; Ankle; Jump; Anatomy; Electromyography; Physical medicine and rehabilitation; Vertical jump; Medicine; Biomedical engineering; Materials science; Mathematics; Geology; Physics","score_opus":0.015482408867224058,"score_gpt":0.23104142741887637,"score_spread":0.21555901855165233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028933889","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":[0.9430589,0.000044947104,0.05579203,0.000002544204,0.000089186695,0.000133045,9.866129e-7,0.00044366688,0.0004347085],"genre_scores_gemma":[0.9068738,0.0000057141833,0.092959635,0.0000034022585,0.00003083614,0.000076332995,0.000002193027,0.000045433102,0.0000026092905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903846,0.0000018974613,0.00029135824,0.0001879878,0.00011344826,0.00036684735],"domain_scores_gemma":[0.99966866,0.000009542494,0.00001403972,0.0001338655,0.00003222244,0.00014168417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067284316,0.00019344532,0.00019291481,0.00022859871,0.000059101916,0.0000110346,0.00013996918,0.000047655096,0.000008204627],"category_scores_gemma":[0.000026548088,0.00021381954,0.00005236806,0.00021574344,0.00000959423,0.0002480994,0.000044194152,0.00010318323,0.0000027746084],"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":[0.000022589204,0.00005396792,0.00030970562,0.0008997877,0.00013952971,0.0000018394169,0.009065657,0.5106547,0.4587515,0.00047515714,0.000007904228,0.01961769],"study_design_scores_gemma":[0.00026117708,0.000031205433,0.07850279,0.00008000612,0.000018200039,0.000002292933,0.00010558032,0.6346299,0.28586048,0.000022058495,0.00006912243,0.00041716683],"about_ca_topic_score_codex":0.0000021070682,"about_ca_topic_score_gemma":0.0000088585475,"teacher_disagreement_score":0.17289104,"about_ca_system_score_codex":0.000059987466,"about_ca_system_score_gemma":0.000017464165,"threshold_uncertainty_score":0.8719308},"labels":[],"label_agreement":null},{"id":"W2032243601","doi":"10.1016/j.proeng.2014.11.352","title":"Micromachined Electric Field Mill Employing a Vertical Moving Shutter","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Electrowetting and Microfluidic Technologies","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 Manitoba","funders":"","keywords":"Shutter; Electric field; Actuator; Amplitude; Engineering; Electrical engineering; Interference (communication); Displacement (psychology); SIGNAL (programming language); Field (mathematics); Acoustics; Mill; Materials science; Optics; Mechanical engineering; Physics; Computer science; Channel (broadcasting)","score_opus":0.002266847312459349,"score_gpt":0.16406143056127595,"score_spread":0.1617945832488166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032243601","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":[0.90619695,0.0016410974,0.08737902,0.00017717692,0.00027818707,0.00011024599,5.5586077e-7,0.0037058627,0.0005109074],"genre_scores_gemma":[0.9956692,0.00009031083,0.0038004736,0.00012247635,0.00018005507,0.000039998038,0.0000023239177,0.000078513294,0.000016659356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883,0.000006148072,0.00022588985,0.00022953098,0.00011024246,0.0005981523],"domain_scores_gemma":[0.999505,0.00016796213,0.000010210205,0.00022010336,0.000021528047,0.00007518756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014170267,0.00024592452,0.00021573086,0.0002155676,0.000053247517,0.00004594892,0.00023313338,0.00016492592,0.000009181329],"category_scores_gemma":[0.0004707373,0.00025627695,0.00006564067,0.00031794433,0.000006114517,0.00010066735,0.000046383924,0.00045943618,0.00003622923],"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":[0.0000028354734,0.000006512401,0.00057166256,0.00015136275,0.000028695391,0.0000033066804,0.00009696349,0.0010629802,0.9784444,0.00025134336,0.0011546981,0.018225236],"study_design_scores_gemma":[0.00021882729,0.00006630157,0.00035246328,0.0000702743,0.000019379362,0.000037986127,0.000006419609,0.10784473,0.885256,0.00009932291,0.0056567867,0.00037151985],"about_ca_topic_score_codex":0.0000057938655,"about_ca_topic_score_gemma":8.0601023e-7,"teacher_disagreement_score":0.10678176,"about_ca_system_score_codex":0.00007010477,"about_ca_system_score_gemma":0.000009715594,"threshold_uncertainty_score":0.999989},"labels":[],"label_agreement":null},{"id":"W2032947468","doi":"10.1016/j.proeng.2014.11.161","title":"Battle of Background Leakage Assessment for Water Networks (BBLAWN): An Incremental Savings Approach","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and 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":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battle; Margin (machine learning); Leakage (economics); Mathematical optimization; Engineering; Baseline (sea); Process (computing); Operations research; Computer science; Reliability engineering; Mathematics; Economics","score_opus":0.00861531370230728,"score_gpt":0.1987886448658803,"score_spread":0.19017333116357302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032947468","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":[0.11746564,0.00004442107,0.88061523,0.000003617217,0.00048255065,0.00028296685,0.0000041026465,0.0002378355,0.000863615],"genre_scores_gemma":[0.9577565,0.0000045957213,0.041526258,0.000004830365,0.00036075563,0.0001219119,0.00011932299,0.00007241575,0.00003337808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991186,0.0000069325283,0.00027576034,0.00017445022,0.000116428055,0.00030783],"domain_scores_gemma":[0.9996718,0.000029026573,0.000024525165,0.00015777943,0.000041695734,0.00007516549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000275763,0.00017646982,0.00021822096,0.00007853708,0.000033362372,0.000046794165,0.00012799361,0.00008868337,0.000008284095],"category_scores_gemma":[0.000007646049,0.00015435676,0.00004713347,0.00006894384,0.000008318569,0.00026702025,0.0000274354,0.000097679644,0.0000015409516],"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":[0.000002742514,0.00001820857,0.00021137777,0.000566551,0.000026167516,9.44783e-8,0.00023772976,0.9886023,0.00950921,0.00047069672,0.00016245282,0.00019246833],"study_design_scores_gemma":[0.00034564122,0.000056373865,0.00037983555,0.00003383948,0.000016077527,0.0000030878564,0.00004553925,0.9851109,0.0126604205,0.000007380965,0.0011355814,0.00020533479],"about_ca_topic_score_codex":0.000008823332,"about_ca_topic_score_gemma":0.0000071795125,"teacher_disagreement_score":0.8402909,"about_ca_system_score_codex":0.000062494466,"about_ca_system_score_gemma":0.0000042920174,"threshold_uncertainty_score":0.6294486},"labels":[],"label_agreement":null},{"id":"W2035314965","doi":"10.1016/j.proeng.2014.12.705","title":"Oscillation Flow Induced by Underwater Supersonic Gas Jets from a Rectangular Laval Nozzle","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":33,"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":"Nozzle; Necking; Mechanics; Jet (fluid); Supercavitation; Overall pressure ratio; Materials science; Supersonic speed; Flow (mathematics); Discharge coefficient; Shock wave; Oscillation (cell signaling); Structural engineering; Physics; Engineering; Cavitation; Chemistry; Thermodynamics; Composite material","score_opus":0.012628728039945015,"score_gpt":0.1845384928620613,"score_spread":0.17190976482211628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035314965","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":[0.949459,0.0012271071,0.0438618,0.00010884054,0.001217382,0.00028968917,0.000030379668,0.0027759988,0.0010298019],"genre_scores_gemma":[0.9876063,0.000053580432,0.011483802,0.000027598826,0.00042121537,0.000037501984,0.00007869835,0.00025450092,0.000036815516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984919,0.000010985278,0.00028665274,0.00031929006,0.00033242267,0.0005587374],"domain_scores_gemma":[0.9992545,0.000046930087,0.000022687758,0.0003102643,0.000055211403,0.0003103619],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016271007,0.00038262375,0.00029752887,0.000153338,0.000029416895,0.000084855375,0.00024402086,0.00022761022,0.00003762481],"category_scores_gemma":[0.000086253356,0.00043536915,0.00007159607,0.00029913854,0.00001062015,0.00034160854,0.000055724813,0.0003860817,0.00021930439],"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":[0.0000111902,0.000018237568,0.00009728482,0.00009656238,0.00009998743,0.000011655612,0.0016827155,0.67093855,0.32106575,0.000023198045,0.0031713347,0.0027835567],"study_design_scores_gemma":[0.00058624137,0.000038444152,0.0001767744,0.00006062653,0.000029161536,0.00001169029,0.000048796675,0.9365777,0.04177229,0.00006710357,0.020051556,0.00057966553],"about_ca_topic_score_codex":0.00003955437,"about_ca_topic_score_gemma":0.000007934708,"teacher_disagreement_score":0.27929345,"about_ca_system_score_codex":0.00032581558,"about_ca_system_score_gemma":0.000031525986,"threshold_uncertainty_score":0.9998098},"labels":[],"label_agreement":null},{"id":"W2036616070","doi":"10.1016/j.proeng.2014.07.053","title":"Effects of Disaster Characteristics on Twitter Event Signature","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Foreknowledge; Event (particle physics); Content (measure theory); Social media; Signature (topology); Scale (ratio); Computer science; Data science; Geography; World Wide Web; Mathematics; Cartography","score_opus":0.005250947712918309,"score_gpt":0.24176293955711387,"score_spread":0.23651199184419555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036616070","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":[0.9543047,0.00016680488,0.033264983,0.0012822594,0.0005286547,0.0003335583,0.0000012970788,0.000129822,0.00998794],"genre_scores_gemma":[0.9992067,0.000031755575,0.00038463253,0.000056643552,0.00015350182,0.000021670567,0.0000030288497,0.0000072373514,0.00013477838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995601,0.000024803465,0.00010058352,0.00006648893,0.00014015939,0.00010783839],"domain_scores_gemma":[0.99957955,0.00018454288,0.000043801312,0.00011116577,0.00004100761,0.00003995114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965036,0.000051840227,0.00007575841,0.000048552592,0.000052255473,0.000019637328,0.00013470596,0.000058071888,0.000010024599],"category_scores_gemma":[0.0004395022,0.000048023794,0.00002697032,0.000112135815,0.000015287853,0.000077186276,0.000018253755,0.00010525096,0.00000962874],"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":[0.000048241815,0.00079429644,0.017534146,0.0016742843,0.0001776405,0.0000022359393,0.11175683,0.0053419727,0.042135194,0.65755594,0.0045666993,0.15841255],"study_design_scores_gemma":[0.0013493155,0.00032325718,0.3290131,0.0009821604,0.00012193868,0.0000012037128,0.0012768273,0.07248871,0.012328825,0.0027296029,0.5782484,0.0011366592],"about_ca_topic_score_codex":0.000006524444,"about_ca_topic_score_gemma":0.0000012037946,"teacher_disagreement_score":0.6548263,"about_ca_system_score_codex":0.000024132665,"about_ca_system_score_gemma":0.00001316863,"threshold_uncertainty_score":0.19583534},"labels":[],"label_agreement":null},{"id":"W2038286013","doi":"10.1016/j.proeng.2011.07.321","title":"Contractual Risks in Fast-Track Projects","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":31,"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":"University of Asia Pacific","keywords":"Rework; Liability; Track (disk drive); Risk analysis (engineering); Damages; Cost overrun; Business; Work (physics); Duration (music); Integrated project delivery; Actuarial science; Computer science; Project management; Finance; Engineering; Construction industry; Construction engineering; Systems engineering","score_opus":0.20785417546417925,"score_gpt":0.34268384510422956,"score_spread":0.1348296696400503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038286013","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":[0.97422403,0.00008068483,0.004199624,0.000035252007,0.00069083413,0.00030049187,0.0000019042528,0.00014071602,0.02032649],"genre_scores_gemma":[0.9968557,0.000017949757,0.0026254815,0.000030336436,0.000091661685,0.00004318214,7.072761e-7,0.000010974478,0.00032402712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857676,0.000011735271,0.0003992457,0.00030441018,0.00042210013,0.00028571917],"domain_scores_gemma":[0.99942225,0.00013487478,0.0000801942,0.00022120071,0.000081600854,0.00005989465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087677105,0.00012904445,0.000169487,0.0005202739,0.00003331647,0.000080755184,0.00035090357,0.00005460851,0.00042422581],"category_scores_gemma":[0.0008085151,0.00010902302,0.00004313916,0.0008321996,0.000022935286,0.00058525224,0.00007478559,0.00019027111,0.00026235366],"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":[0.00010476473,0.0001231798,0.619238,0.00009216335,0.000032750057,0.00004520639,0.016295593,0.0022372568,0.00092043314,0.009198497,0.00093759445,0.35077453],"study_design_scores_gemma":[0.0014161586,0.00012537187,0.8262015,0.000083791085,0.000016631944,0.000048262667,0.0025673013,0.13296114,0.0069607375,0.0020919174,0.026731823,0.0007953483],"about_ca_topic_score_codex":0.000054559656,"about_ca_topic_score_gemma":0.000043668242,"teacher_disagreement_score":0.3499792,"about_ca_system_score_codex":0.000023369312,"about_ca_system_score_gemma":0.000036509315,"threshold_uncertainty_score":0.4644975},"labels":[],"label_agreement":null},{"id":"W2041767083","doi":"10.1016/j.proeng.2011.04.375","title":"Increased accuracy of SHPB test apparatus to better evaluate naval steels","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Split-Hopkinson pressure bar; Strain rate; Test data; Compression (physics); Deformation (meteorology); Materials science; Ultimate tensile strength; Shipbuilding; Structural engineering; Computer science; Composite material; Engineering","score_opus":0.03125642709265473,"score_gpt":0.2638748786559016,"score_spread":0.23261845156324687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041767083","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":[0.9978774,0.000020521267,0.00070546736,0.000024501025,0.0005342912,0.0003651139,0.000060740735,0.00019151029,0.00022044753],"genre_scores_gemma":[0.9878739,0.000002282032,0.01174169,0.00005582393,0.00016225259,0.00008503052,0.0000058059672,0.00003653315,0.000036663958],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868786,0.000013748837,0.0003400877,0.00025012673,0.00027150038,0.00043668473],"domain_scores_gemma":[0.99921554,0.0000974057,0.00008485729,0.00025988545,0.00011107401,0.00023120864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034376257,0.00021434556,0.00028808718,0.000120405035,0.000036903708,0.000047084955,0.00030792222,0.00008046998,0.00065001694],"category_scores_gemma":[0.0007308103,0.0001967439,0.000047952348,0.00019525233,0.000023904999,0.00028283682,0.00011127816,0.00008221522,0.00042833615],"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":[0.000031469015,0.00005285814,0.0015309311,0.000110590656,0.000004357902,0.000005478735,0.0013113931,0.00007215451,0.99651027,0.00003404829,0.000139026,0.0001973968],"study_design_scores_gemma":[0.0003123526,0.00012910078,0.023500198,0.00007017451,0.000035077246,0.000008848122,0.000022543509,0.00016424556,0.9751181,0.000012273012,0.00037081446,0.00025626674],"about_ca_topic_score_codex":0.00012977788,"about_ca_topic_score_gemma":0.000003414821,"teacher_disagreement_score":0.021969266,"about_ca_system_score_codex":0.000041189393,"about_ca_system_score_gemma":0.00007171786,"threshold_uncertainty_score":0.80229837},"labels":[],"label_agreement":null},{"id":"W2042678577","doi":"10.1016/j.proeng.2012.08.048","title":"Life Cycle Oriented Hazards Identification for Tailings Facility","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tailings; China; Engineering; Identification (biology); Waste management; Environmental planning; Forensic engineering; Environmental science; Geography","score_opus":0.008421130472379277,"score_gpt":0.21066465691301575,"score_spread":0.20224352644063648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042678577","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":[0.67518806,0.0003586128,0.3218611,0.000056772027,0.0009460086,0.00021804555,0.0000159658,0.0012837353,0.000071743736],"genre_scores_gemma":[0.9939867,0.000012673447,0.0056060725,0.00001472288,0.00012247537,0.0001896069,0.000018300057,0.000020308735,0.000029089973],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915826,0.0000013773849,0.00018909753,0.00013864892,0.00009209801,0.0004205098],"domain_scores_gemma":[0.99958664,0.000029134235,0.000019520334,0.00016975886,0.000045160483,0.0001497943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023086299,0.00012369464,0.00011860494,0.00011590212,0.00004329837,0.000016516657,0.00013503863,0.000097489734,0.000008415818],"category_scores_gemma":[0.0007271192,0.00013723146,0.000038818092,0.00023265995,0.000015639744,0.0002746506,0.000023634255,0.0001085784,0.000049121893],"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":[0.000026802494,0.00020885571,0.017254403,0.0027063945,0.00017952568,0.0000014324037,0.0064154565,0.25660786,0.63331145,0.0143663855,0.006981103,0.061940357],"study_design_scores_gemma":[0.00043849027,0.000034557386,0.005517001,0.000030878553,0.00003677205,0.000010599236,0.00024525667,0.8012785,0.12228483,0.00012694545,0.06942268,0.0005735128],"about_ca_topic_score_codex":0.0000018767374,"about_ca_topic_score_gemma":5.486226e-7,"teacher_disagreement_score":0.54467064,"about_ca_system_score_codex":0.00004507297,"about_ca_system_score_gemma":0.000018770312,"threshold_uncertainty_score":0.55961365},"labels":[],"label_agreement":null},{"id":"W2044242734","doi":"10.1016/j.proeng.2011.05.040","title":"Numerical Simulation of Gas Leakage in Bedded Salt Rock Storage Cavern","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Petroleum engineering; Leakage (economics); Permeability (electromagnetism); Computer simulation; Geotechnical engineering; Natural gas; Geology; Salt (chemistry); Porosity; Mining engineering; Engineering; Waste management; Simulation; Chemistry","score_opus":0.014098529117463197,"score_gpt":0.1958448656628559,"score_spread":0.18174633654539268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044242734","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":[0.8435981,0.00013774568,0.15498734,0.0000040231166,0.00021100364,0.00010635445,0.0000014618904,0.0004957484,0.0004582262],"genre_scores_gemma":[0.99673444,0.000011790441,0.0031735387,0.0000032121252,0.000022978056,0.000016975813,0.0000016101479,0.000027177093,0.000008303157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930567,0.0000023992786,0.00020292994,0.00013328683,0.00009423243,0.00026148194],"domain_scores_gemma":[0.99974966,0.000028150975,0.000022233991,0.00013831179,0.00001978438,0.00004185197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007631249,0.00011891959,0.00016488797,0.00022638713,0.000009432645,0.0000036522094,0.00015518906,0.00009890335,0.000021303695],"category_scores_gemma":[0.00011077881,0.00013338338,0.000025793019,0.00035893632,0.000008935975,0.00012409064,0.000024581346,0.00016823549,0.000018023207],"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":[0.0000027380945,0.000015756365,0.0021423157,0.000103088285,0.0000050615627,0.0000069907023,0.0012088275,0.98635596,0.008836772,0.00012248717,0.00000978581,0.0011901906],"study_design_scores_gemma":[0.0001505299,0.00003433357,0.004854448,0.00003642638,0.00000407097,0.000003834349,0.00004555334,0.97218716,0.022345297,0.00006493789,0.0001300989,0.00014329521],"about_ca_topic_score_codex":0.000024064393,"about_ca_topic_score_gemma":0.000004708628,"teacher_disagreement_score":0.15313631,"about_ca_system_score_codex":0.0000419423,"about_ca_system_score_gemma":0.000010812632,"threshold_uncertainty_score":0.54392165},"labels":[],"label_agreement":null},{"id":"W2046721311","doi":"10.1016/j.proeng.2011.08.534","title":"Stability Criterion for BAM Neural Networks of Neutral-Type with Interval Time-Varying Delays","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":14,"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 Guelph","funders":"","keywords":"Interval (graph theory); Control theory (sociology); Linear matrix inequality; Mathematics; MATLAB; Artificial neural network; Bidirectional associative memory; Stability (learning theory); Exponential stability; Type (biology); Range (aeronautics); Discrete time and continuous time; Applied mathematics; Nonlinear system; Computer science; Control (management); Mathematical optimization; Content-addressable memory; Engineering; Statistics; Artificial intelligence","score_opus":0.02352354581670306,"score_gpt":0.20283465492994388,"score_spread":0.17931110911324083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046721311","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":[0.24494319,0.00008727739,0.7542295,0.000026583812,0.0002483626,0.0002759044,0.0000012565973,0.00015829934,0.000029643106],"genre_scores_gemma":[0.9549583,0.0000044238895,0.044879094,0.000023035476,0.00008183035,0.00002551823,0.0000073008814,0.00001748963,0.0000030152294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990182,0.000015954143,0.00026424188,0.00030698456,0.0000963878,0.0002982466],"domain_scores_gemma":[0.9993075,0.00009677016,0.000071619725,0.0002723954,0.00017742677,0.00007424617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020158752,0.00015589253,0.00019791597,0.000050146642,0.000048009213,0.000036487214,0.00034326714,0.00006078447,0.000013889397],"category_scores_gemma":[0.000057907946,0.00014002655,0.000050760573,0.00034942382,0.000026433418,0.00055175315,0.00009371104,0.00012913396,0.0000012692797],"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":[0.0005174307,0.00031316734,0.011359803,0.0015072401,0.00009012952,0.00001071565,0.0068544457,0.93544155,0.017419968,0.0058219717,0.000074666714,0.020588906],"study_design_scores_gemma":[0.0001911351,0.00031311362,0.0010667532,0.000044124496,0.000009225066,0.000009779925,0.0000047184276,0.9915452,0.0065517533,0.000094076015,0.000013574729,0.00015657334],"about_ca_topic_score_codex":0.000006893035,"about_ca_topic_score_gemma":0.000004601648,"teacher_disagreement_score":0.7100151,"about_ca_system_score_codex":0.000031762967,"about_ca_system_score_gemma":0.000023872317,"threshold_uncertainty_score":0.5710117},"labels":[],"label_agreement":null},{"id":"W2047197795","doi":"10.1016/j.proeng.2014.11.509","title":"The Effect of Future Water Demand Reduction on WDS Rehabilitation Planning","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; HydraTek (Canada)","funders":"","keywords":"Reduction (mathematics); Rehabilitation; On demand; Business; Environmental science; Water resource management; Physical therapy; Medicine; Mathematics","score_opus":0.0012362883701608346,"score_gpt":0.15830224480973812,"score_spread":0.15706595643957727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047197795","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":[0.95402575,0.0003026101,0.042215325,0.00007925967,0.0021354589,0.00032128097,7.447296e-7,0.0003613932,0.0005581849],"genre_scores_gemma":[0.9989363,0.0000067810656,0.00040643293,8.02496e-7,0.00053784373,0.000049084312,0.0000062037648,0.000028987608,0.00002757835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946773,0.000016101334,0.00016892055,0.00009117005,0.00010185527,0.00015423883],"domain_scores_gemma":[0.99972486,0.00009609785,0.000016596463,0.00011686655,0.000019324045,0.000026235723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003300329,0.00011287421,0.00011529025,0.00006366046,0.000047597787,0.000023330253,0.000059055117,0.00006068538,0.0000010573734],"category_scores_gemma":[0.00005099306,0.00006780267,0.000032420372,0.00007124638,0.0000069599446,0.00008972474,0.0000070857345,0.000093489194,0.000004761619],"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":[0.00001115341,0.0000011073147,0.0002511649,0.00034531453,0.000012107953,8.437422e-8,0.0007285496,0.99081385,0.0064658676,0.00010607255,0.0002989734,0.00096574676],"study_design_scores_gemma":[0.00035448474,0.000350434,0.0010829417,0.0001853384,0.000017136557,0.000006586029,0.00005076071,0.81542844,0.17389336,0.000017236454,0.0084316125,0.0001816384],"about_ca_topic_score_codex":7.971502e-7,"about_ca_topic_score_gemma":6.4061805e-7,"teacher_disagreement_score":0.17538539,"about_ca_system_score_codex":0.00002790864,"about_ca_system_score_gemma":0.000001040671,"threshold_uncertainty_score":0.27649128},"labels":[],"label_agreement":null},{"id":"W2048200644","doi":"10.1016/j.proeng.2010.03.089","title":"Effect of pin tool thread orientation on fatigue strength of friction stir welded AZ31B-H24 Mg butt joints","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Welding; Friction stir welding; Thread (computing); Materials science; Metallurgy; Fatigue limit; Composite material; Mechanical engineering; Engineering","score_opus":0.005566064838613773,"score_gpt":0.2396744962364735,"score_spread":0.23410843139785972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048200644","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":[0.81216913,0.000030193274,0.18643102,0.000004396706,0.00036229735,0.00028118378,0.000013082222,0.00056470995,0.00014399081],"genre_scores_gemma":[0.9774122,0.000044523997,0.022250382,0.0000012598912,0.0000964091,0.00010496854,0.000024176781,0.0000592106,0.0000068274785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894506,0.000008901729,0.00038137956,0.00020570651,0.00023552244,0.00022345502],"domain_scores_gemma":[0.99932915,0.00016856682,0.00009620321,0.00028367658,0.00006997805,0.000052448602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021786016,0.00023971898,0.0003375548,0.00029477972,0.000021143765,0.000010214053,0.00014399618,0.00013438516,0.000023857277],"category_scores_gemma":[0.0003459412,0.00024005558,0.00010075661,0.0004329056,0.000015295107,0.00018257434,0.000024504423,0.00033804745,0.000003721584],"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":[0.000030558105,0.000032277647,0.0014657419,0.00095665903,0.00009062302,0.0000016432226,0.000183812,0.35183883,0.62620306,0.0014228441,0.000051160034,0.017722776],"study_design_scores_gemma":[0.00028046453,0.00016870347,0.0007172118,0.00013399684,0.000054901444,0.0000019357171,0.000006633811,0.19843738,0.79985154,0.00008496501,0.00007366791,0.00018860004],"about_ca_topic_score_codex":0.000010461903,"about_ca_topic_score_gemma":0.000004341527,"teacher_disagreement_score":0.17364848,"about_ca_system_score_codex":0.000060680282,"about_ca_system_score_gemma":0.000008008593,"threshold_uncertainty_score":0.97891825},"labels":[],"label_agreement":null},{"id":"W2049430441","doi":"10.1016/j.proeng.2011.04.227","title":"A Continuum-Based Cyclic Plasticity Model for AZ31B Magnesium Alloy under Proportional loading","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":14,"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":"","keywords":"Plasticity; Materials science; Anisotropy; Extrusion; Magnesium; Magnesium alloy; Hysteresis; Amplitude; Shear (geology); Shear stress; Composite material; Mechanics; Structural engineering; Metallurgy; Condensed matter physics; Physics; Engineering","score_opus":0.03803177652464223,"score_gpt":0.21692707422085744,"score_spread":0.1788952976962152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049430441","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":[0.48374444,0.000034962948,0.5147069,0.0001282353,0.00015588777,0.0005868927,0.000032131647,0.00032099476,0.00028950564],"genre_scores_gemma":[0.93979955,8.696362e-7,0.05870868,0.00009943499,0.00013694348,0.00087800197,0.000010112665,0.000042948875,0.00032343494],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987507,0.000004264107,0.00030091507,0.00035273714,0.00017812896,0.00041324313],"domain_scores_gemma":[0.9994639,0.000048090544,0.00008339632,0.00015182619,0.00012642448,0.00012632356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016117078,0.0001986788,0.0001809283,0.0000695479,0.00011973258,0.000051278723,0.00023498177,0.00007659905,0.00022211003],"category_scores_gemma":[0.00009885747,0.00018146023,0.000067803245,0.00010281352,0.000039671024,0.00017647338,0.000045054396,0.00008232031,0.0000452927],"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":[0.00004616031,0.000088167675,0.00012116061,0.0003516712,0.000004027651,6.918694e-7,0.00021916105,0.052675348,0.94011366,0.0061867526,0.00015221967,0.000040976167],"study_design_scores_gemma":[0.00036518372,0.000044734956,0.0005586931,0.00001838391,0.000031306583,0.0000035980302,0.000023011464,0.74542063,0.25267866,0.00040648656,0.0001800943,0.00026921986],"about_ca_topic_score_codex":0.00001776268,"about_ca_topic_score_gemma":0.000011590049,"teacher_disagreement_score":0.69274527,"about_ca_system_score_codex":0.000048975053,"about_ca_system_score_gemma":0.000102896636,"threshold_uncertainty_score":0.73997337},"labels":[],"label_agreement":null},{"id":"W2060536602","doi":"10.1016/j.proeng.2011.04.068","title":"Monte Carlo model for the study of percolation thresholds in composites filled with circular conductive nano-disks","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","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":"University of Alberta","funders":"","keywords":"Percolation threshold; Monte Carlo method; Percolation (cognitive psychology); Materials science; Percolation critical exponents; Composite material; Scaling; Electrical conductor; Statistical physics; Physics; Mathematics; Engineering; Geometry; Electrical resistivity and conductivity; Statistics; Electrical engineering","score_opus":0.019525396716765727,"score_gpt":0.21008564580971473,"score_spread":0.190560249092949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060536602","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":[0.83211535,0.000017922097,0.16734155,0.000004438804,0.000014167841,0.0004060033,0.0000074637837,0.000009711926,0.00008336527],"genre_scores_gemma":[0.99815094,1.1294309e-7,0.0016329032,0.0000019951306,0.000027869866,0.00016741632,0.0000026029245,0.00001161479,0.0000045374813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963033,0.0000034200302,0.00010405729,0.00009928119,0.000073096264,0.000089788824],"domain_scores_gemma":[0.9997551,0.00006458822,0.000029944189,0.00006497614,0.00006826105,0.00001711849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039858893,0.00008017305,0.00010584905,0.000020547475,0.000027428798,0.0000064353003,0.000073378935,0.000010491339,0.00000416268],"category_scores_gemma":[0.0000024803942,0.00005570612,0.000026376318,0.00007257823,0.000014899961,0.00007274541,0.000015519716,0.000058776495,2.3857942e-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":[0.00004121715,0.00017924255,0.011318238,0.00001981392,0.000066248744,9.9246655e-8,0.007235351,0.94519085,0.0008648147,0.0349353,8.447265e-7,0.00014800725],"study_design_scores_gemma":[0.0005542863,0.00008338579,0.004601948,0.000014416042,0.00003077938,1.260869e-7,0.001116649,0.98717654,0.0009291111,0.0054115336,5.017624e-7,0.00008070704],"about_ca_topic_score_codex":0.000043882927,"about_ca_topic_score_gemma":0.0000019658464,"teacher_disagreement_score":0.16603558,"about_ca_system_score_codex":0.0000072717753,"about_ca_system_score_gemma":0.00001472635,"threshold_uncertainty_score":0.22716297},"labels":[],"label_agreement":null},{"id":"W2060797727","doi":"10.1016/j.proeng.2010.04.204","title":"Poster Session III, July 15th 2010 — Abstracts Finite element analysis of the effect of loading curve shape on brain injury predictors","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Session (web analytics); Finite element method; Medicine; Materials science; Psychology; Structural engineering; Computer science; Engineering; World Wide Web","score_opus":0.007242019030243743,"score_gpt":0.24843959672013569,"score_spread":0.24119757768989195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060797727","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":[0.9984959,0.000022420058,0.00019497162,0.000088659595,0.0004860674,0.0004005254,0.000046511384,0.000051438667,0.00021351196],"genre_scores_gemma":[0.9995156,0.0000049148102,0.00009200208,0.00006738002,0.00012417293,0.000018060582,0.000028147944,0.000028208495,0.00012150799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876475,0.000014569536,0.0004171011,0.00022253151,0.00035250947,0.00022853255],"domain_scores_gemma":[0.99897563,0.00031974504,0.00021616879,0.0003121998,0.00008192901,0.00009433173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004656992,0.0002052378,0.00043654157,0.00044791662,0.000038102047,0.000008496632,0.00015064067,0.00013299166,0.00013816427],"category_scores_gemma":[0.00056515174,0.00013718902,0.00022238352,0.00055623736,0.000029079982,0.00006848763,0.00007137628,0.0004468747,0.000005599865],"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":[0.00047270994,0.00016712376,0.07301497,0.0011079208,0.0014265961,0.0000061966307,0.0014608579,0.002320568,0.91588646,0.0000746476,0.0009164987,0.0031454414],"study_design_scores_gemma":[0.0009576533,0.0012403522,0.19707581,0.00047477192,0.001263484,0.0000025743389,0.000014027764,0.06285551,0.7353305,0.0000043305927,0.0005691938,0.00021176142],"about_ca_topic_score_codex":0.0000064618293,"about_ca_topic_score_gemma":0.0000041212334,"teacher_disagreement_score":0.18055595,"about_ca_system_score_codex":0.000034429446,"about_ca_system_score_gemma":0.000033375847,"threshold_uncertainty_score":0.5594406},"labels":[],"label_agreement":null},{"id":"W2061654600","doi":"10.1016/j.proeng.2011.07.198","title":"Contribution of Plasterboard Finishes to Structural Performance of Multi-storey Light Wood Frame Buildings","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":14,"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 Ottawa; FPInnovations; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Colorado State University","keywords":"Structural engineering; Frame (networking); Materials science; Engineering; Mechanical engineering","score_opus":0.012180777134666136,"score_gpt":0.1783777167832142,"score_spread":0.16619693964854806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061654600","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":[0.997568,0.0005233997,0.0011060608,0.000005225114,0.0002953107,0.00017569691,0.000008409208,0.00018429593,0.00013359681],"genre_scores_gemma":[0.9894607,0.000021191823,0.010396489,0.000002366049,0.000043754455,0.000031259526,0.0000035872092,0.000031076455,0.000009539953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99930286,0.0000021704636,0.00025013695,0.00011293984,0.00010646824,0.0002254195],"domain_scores_gemma":[0.99969804,0.00001615619,0.00003471284,0.00011366739,0.00007190224,0.00006551553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043227104,0.0001749827,0.00023692731,0.000116453724,0.00001637121,0.000006976532,0.00012367034,0.00007344345,0.000017267408],"category_scores_gemma":[0.00004636114,0.00015730815,0.000046163976,0.00014810514,0.000011192223,0.0001843454,0.000027645257,0.00009375909,0.000007893842],"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":[0.00027843151,0.00008870492,0.074187055,0.0028091546,0.00053722196,0.0000053357435,0.021141099,0.14367415,0.7502548,0.0007628749,0.00011090841,0.00615023],"study_design_scores_gemma":[0.00039772823,0.00018868055,0.014167992,0.00017171957,0.000027703067,0.0000032729174,0.000031818214,0.08162546,0.90298617,0.0000036171768,0.00019083437,0.00020503483],"about_ca_topic_score_codex":0.000007408192,"about_ca_topic_score_gemma":0.0000022762451,"teacher_disagreement_score":0.1527313,"about_ca_system_score_codex":0.0000313446,"about_ca_system_score_gemma":0.000007568752,"threshold_uncertainty_score":0.6414841},"labels":[],"label_agreement":null},{"id":"W2064079290","doi":"10.1016/j.proeng.2009.06.025","title":"Defects-enhanced flexoelectricity in nanostructures","year":2009,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Flexoelectricity; Nanostructure; Materials science; Electric field; Finite element method; Field (mathematics); Nanotechnology; Semiconductor; Condensed matter physics; Physics; Dielectric; Optoelectronics; Thermodynamics; Mathematics; Quantum mechanics","score_opus":0.0030895827600726463,"score_gpt":0.19249871867428514,"score_spread":0.1894091359142125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064079290","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":[0.99267995,0.000297598,0.00593617,0.000047985424,0.0003776386,0.00014830653,0.000004413168,0.0001960981,0.00031182656],"genre_scores_gemma":[0.9967264,0.000010936815,0.0029620235,0.00010950483,0.00014586933,0.00000987379,0.0000026719968,0.00001191778,0.0000208262],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988335,0.000009892741,0.00022009516,0.0002894058,0.0001707617,0.00047634976],"domain_scores_gemma":[0.9996681,0.000055314842,0.000039649472,0.0001229932,0.00003125249,0.00008266538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007684213,0.00019495697,0.0002074031,0.00014607818,0.000050300423,0.00005046743,0.00022475937,0.00008705811,0.00006471682],"category_scores_gemma":[0.00023553472,0.00017326427,0.000042159165,0.000364697,0.000019550029,0.00014480687,0.000024864496,0.00018258499,0.000031664455],"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":[0.000016024585,0.000014432697,0.00020763681,0.000033939927,0.000001264196,0.000008148475,0.00019213739,0.0073398603,0.9895757,0.0012020748,0.000044575692,0.0013642132],"study_design_scores_gemma":[0.0002464195,0.00007514479,0.015228885,0.0000415099,0.0000051074535,0.000022004337,0.0000063989455,0.0017910702,0.98035246,0.0018580131,0.00013187258,0.00024110923],"about_ca_topic_score_codex":0.00001053949,"about_ca_topic_score_gemma":0.00000991794,"teacher_disagreement_score":0.015021248,"about_ca_system_score_codex":0.000051042898,"about_ca_system_score_gemma":0.000026299827,"threshold_uncertainty_score":0.7065512},"labels":[],"label_agreement":null},{"id":"W2064300800","doi":"10.1016/j.proeng.2011.12.398","title":"A MEM Electric Field Sensor Optimization by Multi-Objective Niched Pareto Genetic Algorithm","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pareto principle; Pareto optimal; Genetic algorithm; Intuition; Algorithm; Microelectromechanical systems; Mathematical optimization; Set (abstract data type); Multi-objective optimization; Computer science; Optimal design; Displacement (psychology); Engineering; Mathematics; Materials science; Nanotechnology; Machine learning","score_opus":0.01063426469680353,"score_gpt":0.21106147676137968,"score_spread":0.20042721206457614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064300800","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002370564,0.00038660696,0.99765736,0.000027909324,0.00035216374,0.00046079257,0.000003913035,0.0007233802,0.00015081624],"genre_scores_gemma":[0.022089357,0.000110467896,0.977296,0.00011568928,0.00007546404,0.00016752696,0.0000056845847,0.000056570814,0.00008324285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982247,0.000026435604,0.00032477142,0.0006499008,0.00025525893,0.00051897834],"domain_scores_gemma":[0.9989333,0.000108308675,0.00012565085,0.00037897445,0.00027261334,0.00018112338],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010099602,0.00032317737,0.00024862378,0.00025794265,0.00009454403,0.00006997216,0.00052530173,0.00013927622,0.000021814145],"category_scores_gemma":[0.00035167733,0.0003539393,0.00006691419,0.0010311591,0.000010277254,0.00063735264,0.0001383263,0.00026633334,0.000022007824],"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":[0.000011241883,0.00021212196,0.00023504283,0.00004789476,0.000085299675,0.000035110545,0.002825046,0.9449531,0.0054752026,0.00014848962,0.00010754443,0.045863893],"study_design_scores_gemma":[0.0005365103,0.000114285176,0.0002881687,0.000015374795,0.000011698105,0.000035474022,0.00002841824,0.9524079,0.046083096,0.000024004621,0.000050959465,0.0004041144],"about_ca_topic_score_codex":0.000019125537,"about_ca_topic_score_gemma":7.323428e-7,"teacher_disagreement_score":0.045459777,"about_ca_system_score_codex":0.0001453628,"about_ca_system_score_gemma":0.00006249417,"threshold_uncertainty_score":0.9998913},"labels":[],"label_agreement":null},{"id":"W2064446426","doi":"10.1016/j.proeng.2011.12.381","title":"Molecular Identification through Membrane Engineering as a Revolutionary Concept for the Construction of Cell Sensors with Customized Target Recognition Properties: the Example of Superoxide Detection","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Identification (biology); Membrane; Superoxide; Computer science; Engineering; Nanotechnology; Chemistry; Materials science; Artificial intelligence; Biology; Biochemistry","score_opus":0.0182178284047992,"score_gpt":0.20153366062274783,"score_spread":0.18331583221794862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064446426","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":[0.927622,0.0009963549,0.070622206,0.000022697805,0.00007268894,0.0006113618,0.000011735822,0.000018220826,0.000022713091],"genre_scores_gemma":[0.9937076,0.00025584598,0.0056473287,0.0000055909527,0.00007023169,0.00023883491,0.00003770477,0.00002382154,0.0000130615],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923074,0.000013254016,0.00023634337,0.00020394327,0.00014121122,0.000174518],"domain_scores_gemma":[0.9993661,0.000031669784,0.00010106408,0.00020913435,0.00026761513,0.000024432311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018299758,0.00012566718,0.00012378093,0.000032929318,0.00005447821,0.0000054319707,0.00014351506,0.000091592105,0.000004409588],"category_scores_gemma":[0.00017516137,0.00008338227,0.00006603926,0.00016902441,0.00011627044,0.000023369395,0.00002559073,0.00008817816,7.012185e-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":[0.00021485118,0.00002271478,0.000049559745,0.0002955356,0.00004501188,2.0244286e-7,0.0004071884,0.0014337031,0.9972661,0.000020226786,0.000004284212,0.00024060691],"study_design_scores_gemma":[0.000399373,0.00011925435,0.00007594032,0.00006187795,0.00004129013,0.000023021414,0.0005178091,0.0071599996,0.9913258,0.000012275805,0.00015096203,0.000112423135],"about_ca_topic_score_codex":0.000106676955,"about_ca_topic_score_gemma":0.0000019882577,"teacher_disagreement_score":0.06608556,"about_ca_system_score_codex":0.000014336873,"about_ca_system_score_gemma":0.000052028885,"threshold_uncertainty_score":0.340023},"labels":[],"label_agreement":null},{"id":"W2065089439","doi":"10.1016/j.proeng.2014.09.003","title":"There and Back Again 2.5Again Who did What in Solvent Extraction? A Demonstrated & Proven Technology for Uranium Recovery from Phosphoric Acid","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":13,"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":"Uranium; Phosphoric acid; Waste management; Phosphate; Environmental science; Uranium ore; Chemistry; Environmental engineering; Engineering; Metallurgy; Materials science","score_opus":0.00785446504325617,"score_gpt":0.22173447562234438,"score_spread":0.2138800105790882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065089439","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":[0.97160494,0.005359118,0.02133892,0.0002943312,0.00014991984,0.00024846796,0.000023689248,0.0002051239,0.0007754656],"genre_scores_gemma":[0.9921916,0.00052723754,0.006412604,0.000021035994,0.0002481624,0.00022902337,0.000075859636,0.00005624651,0.00023823732],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873567,0.0000053615654,0.00030828852,0.00045829074,0.00010713817,0.0003852467],"domain_scores_gemma":[0.99938136,0.00017850327,0.00011796182,0.00019369205,0.000049437815,0.00007902312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016884669,0.00027080666,0.00028920075,0.00008225197,0.00006383061,0.00013094315,0.00015782597,0.00027377793,0.00009450785],"category_scores_gemma":[0.00024246614,0.00029121892,0.000050484377,0.00022187694,0.000028417118,0.00050467544,0.00003611282,0.00036779357,0.000006295546],"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":[0.00009430722,0.000055175155,0.0021740235,0.0008052755,0.000066580345,0.0000023842417,0.00020444297,0.0007753428,0.9642431,0.000023915762,0.000056180583,0.031499263],"study_design_scores_gemma":[0.0010144005,0.00002623714,0.00017237561,0.00077079295,0.000033058197,0.000014898661,0.00040269128,0.019892788,0.9687309,0.0007762616,0.007717546,0.00044800964],"about_ca_topic_score_codex":0.000006469987,"about_ca_topic_score_gemma":0.0000083073555,"teacher_disagreement_score":0.031051252,"about_ca_system_score_codex":0.00011861742,"about_ca_system_score_gemma":0.000041200852,"threshold_uncertainty_score":0.999954},"labels":[],"label_agreement":null},{"id":"W2070316472","doi":"10.1016/j.proeng.2012.09.467","title":"Dust Suppression of Phosphate Rock: Storage, Conveyance and Shipping","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Combustion and Detonation Processes","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":"IPAC Chemicals (Canada)","funders":"","keywords":"Environmental science; Pollution; Dust control; Waste management; Phosphate; Mining engineering; Engineering; Environmental engineering; Chemistry","score_opus":0.00818104700810484,"score_gpt":0.19936276402472775,"score_spread":0.1911817170166229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070316472","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":[0.82927525,0.018979777,0.1475673,0.000045460383,0.0014525636,0.00023889323,0.000010195761,0.0010371058,0.0013934267],"genre_scores_gemma":[0.9983057,0.00025470965,0.0012407575,0.000011175645,0.00009065949,0.000017198005,0.000003419296,0.000028752995,0.000047654947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941456,0.0000024749343,0.00017208721,0.00008442016,0.00011240818,0.00021404409],"domain_scores_gemma":[0.9996943,0.000052089716,0.000026088683,0.00007679365,0.00004494833,0.00010580041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096774,0.00012198912,0.00013434287,0.00009376409,0.000023255388,0.000014228659,0.000059680686,0.00005450932,0.00005118934],"category_scores_gemma":[0.00009812245,0.00012923565,0.00001805935,0.00017576585,0.000006942698,0.00034985752,0.000027658883,0.00011074352,0.000008384604],"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":[0.0000418375,0.00013966698,0.031929266,0.010058912,0.00016223795,0.00000512831,0.0069625652,0.7543967,0.15778078,0.0076630455,0.002773279,0.028086582],"study_design_scores_gemma":[0.0006489725,0.000020148373,0.030259846,0.0003435573,0.000030432875,0.000030412224,0.00017012037,0.6628596,0.28808868,0.000040782266,0.016935408,0.0005720273],"about_ca_topic_score_codex":6.4816794e-7,"about_ca_topic_score_gemma":1.6904974e-7,"teacher_disagreement_score":0.1690304,"about_ca_system_score_codex":0.000020663598,"about_ca_system_score_gemma":0.0000073005804,"threshold_uncertainty_score":0.52700764},"labels":[],"label_agreement":null},{"id":"W2073058988","doi":"10.1016/j.proeng.2012.04.012","title":"The effect of motion on wind tunnel drag measurement for athletes","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Performance and Training","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Drag; Athletes; Wind tunnel; Motion (physics); Marine engineering; Physical medicine and rehabilitation; Simulation; Computer science; Structural engineering; Engineering; Aerospace engineering; Physical therapy; Medicine; Artificial intelligence","score_opus":0.01796181295688318,"score_gpt":0.23666864637337626,"score_spread":0.21870683341649308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073058988","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":[0.9975501,0.00070399453,0.0006810258,0.00005201857,0.0003263814,0.00044140694,5.882093e-7,0.000047460224,0.0001970283],"genre_scores_gemma":[0.9992884,0.000014821184,0.00019533394,0.000011613402,0.00039573235,0.00006105637,0.0000029996684,0.000016972981,0.0000131191155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994316,0.000001078786,0.00011507913,0.00006212196,0.00018508453,0.00020502025],"domain_scores_gemma":[0.9997345,0.00005751517,0.00003016888,0.00008626016,0.00004176068,0.00004980358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005577252,0.000082963685,0.00011938056,0.000040094856,0.00003796229,0.0000040817276,0.00002868474,0.000029108809,0.0000019596264],"category_scores_gemma":[0.00017791199,0.000052165917,0.00005070816,0.000055698372,0.000007712252,0.000057810896,0.000005060032,0.000070358736,0.0000031974969],"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":[0.000934054,0.00016108128,0.6835357,0.0046833754,0.00041829358,0.0000020726816,0.0033370492,0.0061335266,0.1056255,0.0010964905,0.00034472122,0.19372816],"study_design_scores_gemma":[0.0032584027,0.0017028213,0.62977326,0.0010199095,0.0002536425,0.000019453944,0.000103693375,0.015767949,0.33893263,0.0000072160906,0.008912296,0.0002486901],"about_ca_topic_score_codex":5.1766733e-7,"about_ca_topic_score_gemma":1.6132184e-7,"teacher_disagreement_score":0.23330714,"about_ca_system_score_codex":0.000034950037,"about_ca_system_score_gemma":0.000008960703,"threshold_uncertainty_score":0.21272643},"labels":[],"label_agreement":null},{"id":"W2074137589","doi":"10.1016/j.proeng.2012.06.420","title":"Computational Study on the Influence of jet on Reduction of Drag Over Cone Flare Bodies in Hypersonic Turbulent Flow","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","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":"Toronto Metropolitan University","funders":"","keywords":"Drag; Hypersonic speed; Mechanics; Physics; Turbulence; Aerospace engineering; Parasitic drag; Drag divergence Mach number; Mach number; Supersonic speed; Jet (fluid); Wave drag; Classical mechanics; Engineering","score_opus":0.007412736299487894,"score_gpt":0.20616295346010977,"score_spread":0.19875021716062188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074137589","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":[0.99832255,0.000109349545,0.0010989419,0.000028134233,0.00013470558,0.00022286217,0.000009655468,0.00004525483,0.000028554061],"genre_scores_gemma":[0.9993149,0.000009309765,0.0005625757,0.000005956905,0.00005029621,0.000025097492,0.000009376025,0.000020457235,0.000002003289],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929315,0.000007699507,0.00023381007,0.00009104986,0.00022103068,0.00015325456],"domain_scores_gemma":[0.9996527,0.00014778234,0.000030955147,0.00008944096,0.000050592425,0.000028556844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014620698,0.0001291386,0.00015135459,0.00013025115,0.000016339047,0.000006760151,0.000081386344,0.000031401323,0.0000033333918],"category_scores_gemma":[0.00005604276,0.000110098015,0.000032923097,0.00016202895,0.000013118245,0.00008742648,0.000016798056,0.00015048399,0.0000024422377],"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":[0.000007426713,0.000086681175,0.0039464915,0.00007741242,0.000029287734,4.5375174e-7,0.0014117776,0.99085224,0.001675213,0.001814027,0.000007999516,0.00009099366],"study_design_scores_gemma":[0.00017953801,0.000048605798,0.21202333,0.000080647784,0.00000623228,0.0000025329873,0.00011978557,0.78720456,0.00018883083,0.000055101238,0.0000039190027,0.00008693894],"about_ca_topic_score_codex":0.000006849375,"about_ca_topic_score_gemma":0.000002262307,"teacher_disagreement_score":0.20807683,"about_ca_system_score_codex":0.000079493344,"about_ca_system_score_gemma":0.000012298792,"threshold_uncertainty_score":0.44896668},"labels":[],"label_agreement":null},{"id":"W2075825927","doi":"10.1016/j.proeng.2012.04.086","title":"Development of a three-load component instrumented stem for road cycling","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Strain gauge; Structural engineering; Calibration; Engineering; Cycling; Load cell; Physics","score_opus":0.025045424844626542,"score_gpt":0.24742526328856768,"score_spread":0.22237983844394113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075825927","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":[0.98173887,0.00044893715,0.016776303,0.00003231177,0.00046661892,0.0003321707,0.0000027641324,0.00006789744,0.0001341177],"genre_scores_gemma":[0.95161206,0.0000069849693,0.047980506,0.0000186916,0.00024356175,0.00006819424,0.000009430101,0.000020951216,0.000039596336],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991747,5.317e-7,0.00030482272,0.00009233279,0.00016144707,0.0002661554],"domain_scores_gemma":[0.99966043,0.000010470593,0.00006326152,0.000099354074,0.00006351301,0.00010296632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018300508,0.000113915135,0.00021012338,0.000059012364,0.000028510363,0.000004972609,0.000050011455,0.000039863175,0.000010935866],"category_scores_gemma":[0.000015583742,0.000101503545,0.000048342084,0.00007219909,0.0000076252995,0.000094496645,0.000030507279,0.00007835734,0.0000035307764],"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":[0.0010060596,0.00080926204,0.38004,0.0122378105,0.0008818179,0.000004556502,0.02786279,0.0012745993,0.19316715,0.0012646271,0.00035206904,0.38109928],"study_design_scores_gemma":[0.0044004684,0.00032165713,0.2723152,0.0024696358,0.00021042486,0.00009649648,0.0006956508,0.09087333,0.4596242,0.000004581218,0.16813172,0.00085663825],"about_ca_topic_score_codex":0.0000026836763,"about_ca_topic_score_gemma":0.0000012631771,"teacher_disagreement_score":0.38024265,"about_ca_system_score_codex":0.00008798463,"about_ca_system_score_gemma":0.000066376226,"threshold_uncertainty_score":0.41391945},"labels":[],"label_agreement":null},{"id":"W2083310151","doi":"10.1016/j.proeng.2015.01.146","title":"Measurements of Electrostatic Charging of Powder Mixtures in a Free-fall Test Device","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Materials science; Test (biology); Composite material; Nuclear engineering; Mechanics; Forensic engineering; Engineering; Physics; Geology","score_opus":0.02422148301229773,"score_gpt":0.22744923330637618,"score_spread":0.20322775029407844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083310151","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":[0.9698114,0.010442414,0.014800596,0.00014997691,0.0004955988,0.0004004878,0.000014617466,0.00053298025,0.003351958],"genre_scores_gemma":[0.9977225,0.00002789069,0.002140869,0.000012962164,0.000025782036,0.000021466232,0.000004132285,0.000027751572,0.00001665516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991921,0.0000037530735,0.00028863855,0.00009289494,0.00024029313,0.000182315],"domain_scores_gemma":[0.99957126,0.000059644542,0.00003297893,0.000110909634,0.00015880023,0.000066398316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018538214,0.000118385644,0.00017714048,0.00024814368,0.0000047498647,0.000007849492,0.0001322962,0.000045210247,0.000008093824],"category_scores_gemma":[0.00078860344,0.00013284097,0.000022557038,0.00044556524,0.000007942126,0.0001504336,0.000019801322,0.00010728457,0.000002841269],"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":[0.0000192874,0.00016591184,0.04827386,0.0041126697,0.00006955655,0.0000047012163,0.0035170484,0.75855285,0.18209119,0.0002954351,0.0010919325,0.0018055312],"study_design_scores_gemma":[0.0018275327,0.00008339239,0.0056132,0.00049837516,0.000028604245,0.000013660298,0.00013713315,0.2744872,0.7156607,0.00052704074,0.00066363433,0.00045952733],"about_ca_topic_score_codex":0.0000158554,"about_ca_topic_score_gemma":0.000026492478,"teacher_disagreement_score":0.5335695,"about_ca_system_score_codex":0.000060749513,"about_ca_system_score_gemma":0.000044620807,"threshold_uncertainty_score":0.5417098},"labels":[],"label_agreement":null},{"id":"W2083687918","doi":"10.1016/j.proeng.2014.11.195","title":"Simultaneous Multi-pipe Failure Impact on Reliability of Water Distribution Systems","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Reliability (semiconductor); Reliability engineering; Set (abstract data type); Computer science; Rank (graph theory); Engineering; Mathematics; Power (physics)","score_opus":0.0032607054752076922,"score_gpt":0.17645253495378935,"score_spread":0.17319182947858167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083687918","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":[0.46090487,0.00006244624,0.5373995,0.000008877073,0.00064775173,0.0003218818,0.00004368357,0.00052795245,0.00008308014],"genre_scores_gemma":[0.9990519,0.000004267549,0.00057759817,9.587704e-7,0.00015954657,0.000031510186,0.000096023985,0.000044871966,0.00003326508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908525,0.000011474676,0.00030726797,0.0001669719,0.00014486203,0.00028419247],"domain_scores_gemma":[0.99951965,0.00006476284,0.0000265725,0.0002202089,0.00008766024,0.00008113767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018477513,0.00020926363,0.00025437956,0.000062083884,0.000022164266,0.000031765543,0.000098872406,0.00011765917,0.000004840141],"category_scores_gemma":[0.00012634967,0.00014880988,0.00006664837,0.00010267799,0.0000078371895,0.00011504669,0.000014981107,0.00013047726,0.000021530304],"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":[0.0000050653944,0.000013923098,0.000390186,0.0005951205,0.000014968028,7.952833e-7,0.00017041144,0.9927956,0.005822564,0.00003407367,0.000105559644,0.000051740186],"study_design_scores_gemma":[0.00022296999,0.000053318716,0.00037624818,0.000104146086,0.000009768208,0.0000053920826,0.000010121773,0.97439444,0.023484861,0.000001838993,0.0011530071,0.00018387794],"about_ca_topic_score_codex":0.000020976506,"about_ca_topic_score_gemma":0.000004162658,"teacher_disagreement_score":0.5381471,"about_ca_system_score_codex":0.00012269858,"about_ca_system_score_gemma":0.000004266072,"threshold_uncertainty_score":0.60682905},"labels":[],"label_agreement":null},{"id":"W2088683927","doi":"10.1016/j.proeng.2012.10.133","title":"Development of a Wind Tunnel Test Facility to Simulate the Effect of Rain on Roof Ventilation Systems and Environmental Measuring Devices","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Roof; Pitot tube; Marine engineering; Wind tunnel; Engineering; Ventilation (architecture); Wind speed; Environmental science; Civil engineering; Meteorology; Mechanical engineering; Aerospace engineering; Flow (mathematics)","score_opus":0.009142821923826316,"score_gpt":0.185910932510421,"score_spread":0.1767681105865947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088683927","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":[0.99918485,0.00019383352,0.00023565367,0.0000058602504,0.000058608857,0.0002565899,0.0000070314477,0.000011946108,0.000045657245],"genre_scores_gemma":[0.99973506,0.0000017844869,0.00020468922,0.000002401874,0.000022919025,0.000016934015,0.0000014976655,0.0000056743465,0.000009014629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935883,0.0000091499005,0.00016694973,0.00010954767,0.00019438998,0.0001611111],"domain_scores_gemma":[0.99971056,0.0001230571,0.000043554373,0.00007045218,0.0000013674933,0.000051033036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003708843,0.000106470885,0.00013160298,0.000021522284,0.000056755143,0.0000056308313,0.00006224135,0.000021002585,0.000006589589],"category_scores_gemma":[0.00007157755,0.0000742755,0.000018729523,0.00006426518,0.000022881524,0.00008601834,0.00009080118,0.000046114856,0.000010967111],"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":[0.000019658151,0.0000411999,0.6496235,0.00032545518,0.000026532853,1.8147479e-7,0.0048713777,0.14876433,0.19023849,0.0000011899791,0.0000049547016,0.006083087],"study_design_scores_gemma":[0.00018470251,0.00007406599,0.901084,0.00010602407,0.000014979866,0.0000011591585,0.00017097924,0.0060874387,0.09141102,1.9140776e-7,0.0007403014,0.0001251405],"about_ca_topic_score_codex":0.0000054276734,"about_ca_topic_score_gemma":0.000002117599,"teacher_disagreement_score":0.25146046,"about_ca_system_score_codex":0.000057385463,"about_ca_system_score_gemma":0.0000014598284,"threshold_uncertainty_score":0.3028867},"labels":[],"label_agreement":null},{"id":"W2090113166","doi":"10.1016/j.proeng.2014.11.443","title":"An Energy Approach to Studying Pipe Network Transients","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transient (computer programming); Pipeline (software); Energy (signal processing); Perspective (graphical); Computer science; Systems engineering; Selection (genetic algorithm); Risk analysis (engineering); Engineering; Mechanical engineering; Artificial intelligence; Physics; Business","score_opus":0.005685472133780592,"score_gpt":0.15669104681514603,"score_spread":0.15100557468136544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090113166","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":[0.013891836,0.00009997218,0.9804821,0.0000040526697,0.0006160602,0.00013583714,0.0000010069944,0.00078224984,0.0039868876],"genre_scores_gemma":[0.97975874,0.0000042462475,0.01924906,0.000026288326,0.0007322537,0.00009391453,0.000015019935,0.00007811385,0.000042377156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991007,0.000008034678,0.0001951623,0.00020397095,0.00013433948,0.00035778966],"domain_scores_gemma":[0.9995979,0.000010997552,0.000010895059,0.00018489255,0.000027163882,0.00016813185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001385938,0.00018196616,0.00017692504,0.00009367541,0.00004039943,0.0000620722,0.00015721348,0.00006628561,0.0000020519149],"category_scores_gemma":[0.000010394627,0.00019034462,0.000028049015,0.00028086692,0.0000024032288,0.00018465523,0.000009154,0.000078673824,0.0000071837467],"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":[0.0000013415329,0.00001192241,0.00014148543,0.000100175625,0.000013396021,2.4930392e-7,0.00063991797,0.9963824,0.00077795377,0.00045356213,0.00034954827,0.0011280368],"study_design_scores_gemma":[0.00014475662,0.00002812152,0.00041133523,0.000035442707,0.000007979646,0.000003401813,0.000019396895,0.99007136,0.00090524135,0.0000075011108,0.008114863,0.00025058058],"about_ca_topic_score_codex":0.0000075877283,"about_ca_topic_score_gemma":0.000011652945,"teacher_disagreement_score":0.96586686,"about_ca_system_score_codex":0.00003420456,"about_ca_system_score_gemma":0.0000033143845,"threshold_uncertainty_score":0.77620286},"labels":[],"label_agreement":null},{"id":"W2090413280","doi":"10.1016/j.proeng.2011.07.247","title":"The Predictability of Fast-Track Projects","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":23,"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":"","keywords":"Predictability; Tracking (education); Variance (accounting); Computer science; Quality (philosophy); Operations research; Engineering; Statistics; Business; Mathematics; Accounting","score_opus":0.0909697146033854,"score_gpt":0.2913962836838835,"score_spread":0.20042656908049808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090413280","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":[0.9708739,0.00017505261,0.0063408692,0.00006351081,0.0010348435,0.00040906385,0.000003531453,0.0001343785,0.020964837],"genre_scores_gemma":[0.9977551,0.000023684894,0.001705276,0.000005201908,0.00005681414,0.000029265579,2.483594e-7,0.0000059428485,0.00041846765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987549,0.000012809048,0.00038507546,0.00019634103,0.00047147725,0.00017938245],"domain_scores_gemma":[0.9990857,0.0002450678,0.00011142537,0.0003471324,0.00017256163,0.00003807964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012802667,0.00008843546,0.00011667834,0.0001209812,0.00007574816,0.00004656235,0.0004696053,0.000029057514,0.000115349714],"category_scores_gemma":[0.0012009805,0.000052170748,0.000055357243,0.0005950955,0.00006468389,0.00028538457,0.00010295236,0.00009736812,0.000035097008],"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":[0.00012838321,0.00009145104,0.55385876,0.00022209165,0.000076864184,0.0000021657406,0.014562569,0.00059857435,0.0014409099,0.023019472,0.002124496,0.40387428],"study_design_scores_gemma":[0.00087683497,0.00029486834,0.71782243,0.000088578185,0.000050018458,0.000030235244,0.004875756,0.13866842,0.04170083,0.008057749,0.08681869,0.00071561354],"about_ca_topic_score_codex":0.000009436906,"about_ca_topic_score_gemma":0.000011255703,"teacher_disagreement_score":0.40315866,"about_ca_system_score_codex":0.000011129257,"about_ca_system_score_gemma":0.00003649674,"threshold_uncertainty_score":0.21274613},"labels":[],"label_agreement":null},{"id":"W2091368505","doi":"10.1016/j.proeng.2012.04.006","title":"Evidence that skin suits affect long track speed skating performance","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":14,"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":"Speed skating; Affect (linguistics); Track (disk drive); Aeronautics; Automotive engineering; Engineering; Forensic engineering; Simulation; Mechanical engineering; Psychology; Communication","score_opus":0.06170983676097817,"score_gpt":0.22249995088808444,"score_spread":0.16079011412710625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091368505","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":[0.9839665,0.00956969,0.0038853553,0.000040990864,0.0007369175,0.00016455294,0.0000062341605,0.00010135741,0.0015283889],"genre_scores_gemma":[0.9972014,0.0011024721,0.00058470445,0.00004750725,0.0006195235,0.000016237662,0.000005227376,0.00004532943,0.00037758602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986571,0.0000017780835,0.00039229816,0.00026949603,0.00007242536,0.0006069004],"domain_scores_gemma":[0.99928033,0.00006722676,0.00024357732,0.00022847089,0.000022933751,0.0001574371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076737034,0.00021305816,0.00030960052,0.00019758957,0.000081620565,0.000080561666,0.00021172062,0.00008430725,0.00024430486],"category_scores_gemma":[0.00018891432,0.00023833365,0.00009023109,0.00029727604,0.000015204955,0.001080107,0.000052076117,0.00022408697,0.00036679057],"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":[0.0000044948297,0.000025601057,0.98339134,0.00032869496,0.000023796427,0.0000014380288,0.0006658556,0.011130972,0.000060726765,0.0014709625,0.00007915493,0.0028169374],"study_design_scores_gemma":[0.00017834385,0.00003340478,0.75205296,0.00023555938,0.000009898368,0.000019193578,0.000023079236,0.24093375,0.002668205,0.000013965972,0.0033686562,0.00046298522],"about_ca_topic_score_codex":0.000025305131,"about_ca_topic_score_gemma":0.0000030018984,"teacher_disagreement_score":0.2313384,"about_ca_system_score_codex":0.00008915769,"about_ca_system_score_gemma":0.000012523795,"threshold_uncertainty_score":0.9718964},"labels":[],"label_agreement":null},{"id":"W2093828402","doi":"10.1016/j.proeng.2014.02.034","title":"Predicting the Leakage Exponents of Elastically Deforming Cracks in Pipes","year":2014,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","field":"Engineering","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":"Golder Associates (Canada)","funders":"","keywords":"Leakage (economics); Materials science; Structural engineering; Composite material; Forensic engineering; Mechanics; Engineering; Physics","score_opus":0.0025489516520226228,"score_gpt":0.14414324070441978,"score_spread":0.14159428905239715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093828402","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":[0.71278465,0.00019771788,0.2839152,0.000016379588,0.0005659602,0.00021604018,0.0000018787492,0.00042640776,0.001875798],"genre_scores_gemma":[0.9980093,0.000009749121,0.0017521008,0.0000033163858,0.00014141896,0.000031109437,0.0000022595527,0.00003297939,0.000017765571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999281,0.0000060434318,0.00028311927,0.00009488458,0.000120544544,0.00021444028],"domain_scores_gemma":[0.9997244,0.00008014056,0.0000262226,0.000111071044,0.000023619688,0.00003454856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021236783,0.00011545695,0.00014307283,0.000093692695,0.000019693436,0.000018769739,0.0001217162,0.000054861295,0.0000029808843],"category_scores_gemma":[0.0001626609,0.000091457165,0.000026168707,0.000164135,0.000007740346,0.00014319125,0.00002521593,0.00013442754,0.0000037437376],"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":[0.0000013641919,0.0000046256523,0.007827074,0.00031813796,0.000008235011,5.3607414e-7,0.0008676227,0.9874894,0.0028378917,0.0001938132,0.000019111878,0.00043219022],"study_design_scores_gemma":[0.00014826468,0.000013981802,0.006042357,0.00016999514,0.0000056078006,0.0000042364027,0.000046971145,0.9888034,0.0044248453,0.000014852458,0.00022322462,0.00010224785],"about_ca_topic_score_codex":0.000011643601,"about_ca_topic_score_gemma":0.000036964855,"teacher_disagreement_score":0.28522465,"about_ca_system_score_codex":0.00002917349,"about_ca_system_score_gemma":0.000004556109,"threshold_uncertainty_score":0.3729515},"labels":[],"label_agreement":null},{"id":"W2094479947","doi":"10.1016/j.proeng.2012.08.490","title":"Modelling the Long-Term Evolution of Permeability in a Full-Scale Municipal MBR: A Multivariate Statistical Modelling Approach","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Multivariate statistics; Term (time); Scale (ratio); Permeability (electromagnetism); Environmental science; Computer science; Statistics; Econometrics; Mathematics; Chemistry; Geography; Physics; Cartography","score_opus":0.024450298942434372,"score_gpt":0.2372599380794126,"score_spread":0.21280963913697823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094479947","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":[0.510272,0.0000786532,0.48926967,0.000005828241,0.000027241726,0.00017466769,0.0000021961716,0.00005399402,0.000115716306],"genre_scores_gemma":[0.9346046,0.000010242731,0.06525531,0.0000015870133,0.000023347586,0.00007838437,0.000004320806,0.000014782912,0.000007467584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884456,0.00002423347,0.0002992773,0.0002203939,0.0002391011,0.0003724274],"domain_scores_gemma":[0.9995205,0.00009949455,0.00005720237,0.00025743849,0.00000829837,0.000057080462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050869404,0.00014138062,0.00016345944,0.000056181303,0.000044767465,0.000011127825,0.00023745713,0.00009051977,0.00003866169],"category_scores_gemma":[0.00008731439,0.0001154298,0.000032064185,0.00026608893,0.000098204066,0.00028678105,0.00014437671,0.00025231368,0.0000146662005],"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":[0.000012616948,0.00007933436,0.021955922,0.00007808336,0.0000035613116,1.7113263e-7,0.0021753276,0.9689362,0.006004189,0.0005909025,7.9161657e-7,0.00016290542],"study_design_scores_gemma":[0.00013718358,0.000011996837,0.012117362,0.000016001453,0.000008738039,0.0000042759148,0.00014012649,0.9860873,0.0012401824,0.00010766764,0.0000043872096,0.00012475695],"about_ca_topic_score_codex":0.0003159799,"about_ca_topic_score_gemma":0.000016944683,"teacher_disagreement_score":0.42433253,"about_ca_system_score_codex":0.00022275442,"about_ca_system_score_gemma":0.000008374043,"threshold_uncertainty_score":0.4707091},"labels":[],"label_agreement":null},{"id":"W2114072269","doi":"10.1016/j.proeng.2010.04.139","title":"3D dynamic modelling and simulation of a golf drive","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":17,"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":"","keywords":"Dynamic simulation; Simulation; Engineering; Computer science; Automotive engineering","score_opus":0.003220717449260014,"score_gpt":0.17617736337478054,"score_spread":0.17295664592552054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114072269","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":[0.6068142,0.000086375614,0.3926336,0.000002025235,0.00021985972,0.00006266805,0.0000037712448,0.00013874508,0.000038789854],"genre_scores_gemma":[0.97572464,0.0000422302,0.024144184,0.0000013365479,0.00003766503,0.0000063177604,0.0000061963065,0.000033197026,0.000004224848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995278,4.4866684e-7,0.0001495584,0.000104110295,0.000076275646,0.0001418127],"domain_scores_gemma":[0.9997873,0.000022935941,0.000019097724,0.00009089532,0.000031691452,0.000048095266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058117737,0.00010964915,0.000114565875,0.00010485892,0.000012128141,0.000012036137,0.000051111612,0.00008253015,0.000004940764],"category_scores_gemma":[0.000012630192,0.00011720743,0.00002081745,0.00011935195,0.000007080773,0.00008339152,0.000012276142,0.00015613326,0.0000010084609],"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":[0.000001232706,0.0000032434234,0.000057327627,0.0001252267,0.000009117631,7.380182e-7,0.00013120807,0.93837667,0.05958042,0.0001918551,2.7399597e-7,0.0015226929],"study_design_scores_gemma":[0.0000862467,0.000006061657,0.00012768229,0.000020716652,0.000009421883,0.000003899238,0.000008939593,0.9977386,0.0016700166,0.00008508768,0.00011494933,0.00012835451],"about_ca_topic_score_codex":0.0000017831918,"about_ca_topic_score_gemma":0.0000043654227,"teacher_disagreement_score":0.36891046,"about_ca_system_score_codex":0.000013008381,"about_ca_system_score_gemma":0.000005353999,"threshold_uncertainty_score":0.47795805},"labels":[],"label_agreement":null},{"id":"W2142460755","doi":"10.1016/j.proeng.2012.09.446","title":"Beneficial Microorganisms for the Sustainable Use of Phosphates in Agriculture","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":77,"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 Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Microorganism; Ecosystem; Phosphorus; Environmental science; Soil water; Agriculture; Sustainable agriculture; Agronomy; Environmental chemistry; Plant growth; Soil biology; Phosphate; Chemistry; Biology; Ecology; Soil science; Bacteria; Biochemistry","score_opus":0.011617741126421196,"score_gpt":0.1805717771566235,"score_spread":0.16895403603020231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142460755","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":[0.9980709,0.0012605984,0.000017421467,0.00020362494,0.0000941788,0.00029979943,0.000009767799,0.000037085054,0.000006607221],"genre_scores_gemma":[0.9990164,0.000011470724,0.0005617286,0.00002852489,0.000241439,0.000057765465,0.000009511744,0.0000015866365,0.00007155706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993591,0.0000036100262,0.00012687201,0.00009043963,0.000073643954,0.00034634775],"domain_scores_gemma":[0.9995497,0.00028913698,0.000036241123,0.000026868378,0.000060499242,0.000037559035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001367019,0.00009282478,0.00010130249,0.000009040777,0.000050266157,0.000026106372,0.00013240923,0.00005218887,0.000015977315],"category_scores_gemma":[0.00020285424,0.000030870135,0.00004990284,0.00028596862,0.000008809039,0.00021001439,0.00003902891,0.00006606074,0.0000018355422],"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":[0.000009381025,0.00005095273,0.024984902,0.00006095652,0.000012961201,3.2835297e-7,0.00046954665,0.00012159492,0.9718472,0.0013902755,0.0002500598,0.00080185744],"study_design_scores_gemma":[0.000105746716,0.00004248634,0.10446256,0.000020342759,0.000020071591,0.0000040772525,0.00061512727,0.00018360566,0.8849243,0.00003338405,0.009416834,0.00017148524],"about_ca_topic_score_codex":0.00016451003,"about_ca_topic_score_gemma":0.000027491626,"teacher_disagreement_score":0.08692291,"about_ca_system_score_codex":0.0000263564,"about_ca_system_score_gemma":0.0000034430516,"threshold_uncertainty_score":0.12588476},"labels":[],"label_agreement":null},{"id":"W2186258721","doi":"10.1016/j.proeng.2015.08.399","title":"A post occupancy evaluation framework for LEED certified U.S. higher education residence halls","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sustainable Building Design and Assessment","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Post-occupancy evaluation; Certification; Residence; Sustainability; Occupancy; Environmental economics; Environmental design; Energy consumption; Consumption (sociology); Architectural engineering; Rating system; Environmental science; Environmental resource management; Engineering; Civil engineering; Economics; Sociology; Management","score_opus":0.04774013907454281,"score_gpt":0.3081276688272911,"score_spread":0.26038752975274826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186258721","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":[0.1651224,0.00936287,0.80843127,0.0010308679,0.008054626,0.003276522,0.000016374006,0.0024709944,0.0022340934],"genre_scores_gemma":[0.94989204,0.000014116419,0.048268586,0.000057954374,0.000583522,0.00083576055,0.000026236674,0.000069123096,0.0002526511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892247,0.0000091689035,0.00022077745,0.00021689468,0.0002933681,0.00033732783],"domain_scores_gemma":[0.99909025,0.00011154081,0.00003256083,0.0002020313,0.00040883073,0.00015475941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003743307,0.0001940428,0.00015558842,0.00015832584,0.000034709352,0.00008252513,0.00014778449,0.00012268579,0.000025576086],"category_scores_gemma":[0.0005387809,0.0002133887,0.000044297627,0.00025283732,0.000006467513,0.00026861273,0.000017504104,0.00015481169,0.00001655161],"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":[0.0001249146,0.0001858891,0.0012150262,0.0026003753,0.00018909622,0.0000054504276,0.0024831626,0.7737418,0.03697345,0.12269016,0.017557379,0.042233307],"study_design_scores_gemma":[0.0015381803,0.00020153577,0.00764166,0.0009344476,0.00022434504,0.000014890327,0.00083148247,0.8926723,0.023836846,0.05103752,0.019616848,0.0014499679],"about_ca_topic_score_codex":0.0000071968316,"about_ca_topic_score_gemma":5.3119123e-7,"teacher_disagreement_score":0.78476965,"about_ca_system_score_codex":0.0003976658,"about_ca_system_score_gemma":0.0003043765,"threshold_uncertainty_score":0.8701739},"labels":[],"label_agreement":null},{"id":"W2192135400","doi":"10.1016/j.proeng.2015.08.448","title":"Developing a Three-Dimensional Geometric Framework for Greening Buildings’ Façade","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Facade; Parametric model; Parametric statistics; Plot (graphics); Geometric shape; Greening; Architectural engineering; Computer science; Parametric design; Engineering; Structural engineering; Mathematics; Geometry; Statistics","score_opus":0.033604964949434483,"score_gpt":0.2379674968158611,"score_spread":0.2043625318664266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192135400","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":[0.29018152,0.00014784421,0.70889616,0.00012546474,0.00023154245,0.00021367575,0.0000023183134,0.0001265901,0.00007487691],"genre_scores_gemma":[0.5720014,9.2803543e-7,0.42766833,0.000062331324,0.00013183558,0.000077278484,0.0000056088893,0.0000232358,0.000029054627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990356,0.0000021286078,0.00016663305,0.00024564675,0.00023042627,0.0003195456],"domain_scores_gemma":[0.9995888,0.00012367542,0.000039578576,0.000094564995,0.000018073433,0.00013532759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023536656,0.00013091655,0.0001186901,0.00010010864,0.0000535766,0.000025347468,0.00013100909,0.00008360974,0.000036427664],"category_scores_gemma":[0.0007961041,0.00013524025,0.000034286502,0.0005343917,0.000015213247,0.00021307432,0.00009462197,0.00012477394,0.00006495719],"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":[0.000083279614,0.00009168231,0.44829836,0.00034923822,0.00010858148,0.000020597781,0.002873108,0.4682353,0.012841177,0.023611289,0.008343065,0.035144296],"study_design_scores_gemma":[0.0030392767,0.00042702252,0.118273355,0.00075450813,0.00010265469,0.00016199006,0.00013849692,0.708271,0.047358304,0.06629521,0.052305806,0.0028723406],"about_ca_topic_score_codex":0.000028442744,"about_ca_topic_score_gemma":0.0000068859363,"teacher_disagreement_score":0.33002502,"about_ca_system_score_codex":0.00026610336,"about_ca_system_score_gemma":0.000023112627,"threshold_uncertainty_score":0.55149376},"labels":[],"label_agreement":null},{"id":"W2206581970","doi":"10.1016/j.proeng.2015.12.636","title":"Effect of Cold Forming on the High Cycle Fatigue Behaviour of a 27MnCr5 Steel","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Materials science; Forging; Residual stress; Fatigue limit; Forming processes; Composite material; Electron backscatter diffraction; Surface roughness; Microstructure; Metallurgy","score_opus":0.012441182806559772,"score_gpt":0.21155253503439775,"score_spread":0.199111352227838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206581970","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":[0.9964288,0.00011255534,0.0018601682,0.0000063237717,0.000570591,0.00026132292,0.000006931787,0.00015117046,0.0006021578],"genre_scores_gemma":[0.99930996,0.0000074193736,0.00047591713,0.000002860566,0.00007715411,0.00006135507,0.0000029273365,0.000040360268,0.000022030925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992347,0.0000109937855,0.00025710286,0.000094181094,0.0001914295,0.00021163608],"domain_scores_gemma":[0.9995168,0.00015436679,0.00004677082,0.00017693988,0.000035448145,0.00006966561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004459831,0.00016851153,0.00026483304,0.000087540626,0.00001706379,0.000009858721,0.00016030416,0.00006946426,0.000010575718],"category_scores_gemma":[0.00019514469,0.00012541257,0.00005611013,0.00014898439,0.000013618868,0.000115883224,0.00003183718,0.00012240709,0.0000062853933],"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":[0.000096174015,0.0000372208,0.0006296939,0.0026352874,0.00014758554,0.00000800289,0.0014204446,0.6075489,0.364602,0.020292036,0.00015874037,0.002423913],"study_design_scores_gemma":[0.00040042313,0.00023303466,0.00018591875,0.00020851806,0.0000405177,0.000004051287,0.00003137942,0.041669484,0.95675397,0.000025700176,0.0002852073,0.00016180295],"about_ca_topic_score_codex":0.000016256625,"about_ca_topic_score_gemma":0.0000011268053,"teacher_disagreement_score":0.592152,"about_ca_system_score_codex":0.000033999564,"about_ca_system_score_gemma":0.000011905435,"threshold_uncertainty_score":0.5114176},"labels":[],"label_agreement":null},{"id":"W2207535858","doi":"10.1016/j.proeng.2015.08.501","title":"The Impact of Urban Structure Changes on the Airflow Speed Circulation in Historic Karbala, Iraq","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":16,"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":"","keywords":"Airflow; Urban structure; Circulation (fluid dynamics); Civil engineering; Natural ventilation; Geography; Architectural engineering; Ventilation (architecture); Meteorology; Environmental planning; Engineering; Urban planning; Mechanical engineering","score_opus":0.012878361579299882,"score_gpt":0.20123109615985657,"score_spread":0.18835273458055668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207535858","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":[0.9988241,0.00014991498,0.000042252956,0.00013199904,0.00013920388,0.00019892644,0.0000029872112,0.000022394674,0.00048823093],"genre_scores_gemma":[0.99979836,0.0000040175614,0.000035020013,0.000008716677,0.00008230995,0.000008436351,0.0000029549442,0.00001060535,0.000049591312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994459,0.00001066694,0.00009729874,0.0001045135,0.00018956687,0.0001520538],"domain_scores_gemma":[0.99971575,0.000060355607,0.00003763928,0.00013641229,0.00000798656,0.00004185803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016351472,0.00008839792,0.00006884969,0.000030460278,0.000027948176,0.000010649444,0.00012104035,0.000038163613,0.0000290461],"category_scores_gemma":[0.00016446605,0.00005089407,0.000023109966,0.00023327916,0.000021191569,0.00005714832,0.00002331074,0.00010465208,0.000008843954],"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":[0.0000205603,0.000033510867,0.3540597,0.000018489785,0.000016280348,0.0000018468248,0.006103949,0.5682885,0.06478674,0.00018287405,0.0034707882,0.0030167534],"study_design_scores_gemma":[0.0003057571,0.00012661875,0.8354034,0.000030314994,0.0000074245263,0.0000054674365,0.00007001024,0.1590003,0.003724255,0.0003282459,0.00082746707,0.0001707648],"about_ca_topic_score_codex":0.00015348355,"about_ca_topic_score_gemma":0.00007822616,"teacher_disagreement_score":0.48134366,"about_ca_system_score_codex":0.0004897052,"about_ca_system_score_gemma":0.000012649957,"threshold_uncertainty_score":0.20753999},"labels":[],"label_agreement":null},{"id":"W2294109719","doi":"10.1016/j.proeng.2015.08.1109","title":"Characterization of the Self-Healing Mechanism of VHB 4910","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Division of Materials Research; China Scholarship Council","keywords":"Self-healing; Materials science; Raman spectroscopy; Amorphous solid; Self-healing material; Ultimate tensile strength; Self-healing hydrogels; Composite material; Nanotechnology; Crystallography; Polymer chemistry; Optics; Chemistry; Medicine","score_opus":0.005515266260240402,"score_gpt":0.1810317089385493,"score_spread":0.1755164426783089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294109719","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":[0.9553687,0.00006106158,0.04369726,0.000109383625,0.0004972095,0.000121251884,0.000015983716,0.00009329105,0.000035838704],"genre_scores_gemma":[0.99685335,0.000027572522,0.0029673495,0.000014970356,0.00009294332,0.000009993819,9.528723e-7,0.000017232715,0.0000156172],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992209,0.0000108367885,0.00026765,0.00013445727,0.00017490222,0.00019122455],"domain_scores_gemma":[0.99954915,0.000047540445,0.00013382718,0.00017440114,0.000055875804,0.00003918412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017170214,0.00009572976,0.00015260275,0.00004884797,0.00003413051,0.000009636435,0.00021529292,0.000045816585,0.00002410611],"category_scores_gemma":[0.000047951202,0.000059574995,0.000045681245,0.00013424324,0.00001199722,0.00013163498,0.00007067552,0.00003895261,0.000004800681],"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":[0.0000032514486,0.000012084234,0.00015899725,0.00014095055,0.0000047881067,1.4154313e-7,0.00027067747,0.000122022335,0.9955404,0.003516237,5.253468e-7,0.00022994952],"study_design_scores_gemma":[0.00012793507,0.000015587542,0.00081497506,0.00015800192,0.000011327021,0.0000031946972,0.000005099162,0.0076073045,0.99102485,0.00007171081,0.00008057081,0.00007945634],"about_ca_topic_score_codex":0.000007852808,"about_ca_topic_score_gemma":5.4671057e-7,"teacher_disagreement_score":0.041484646,"about_ca_system_score_codex":0.00002385976,"about_ca_system_score_gemma":0.000036629583,"threshold_uncertainty_score":0.24293979},"labels":[],"label_agreement":null},{"id":"W2331186277","doi":"10.1016/j.proeng.2015.08.550","title":"Strategic Retrofit Investment from the Portfolio to the Building Scale: A Framework for Identification and Evaluation of Potential Retrofits","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Portfolio; Scale (ratio); Sustainability; Investment (military); Energy consumption; Engineering; Environmental economics; Civil engineering; Transport engineering; Architectural engineering; Business; Finance; Economics","score_opus":0.03220443158160638,"score_gpt":0.25333330507866386,"score_spread":0.22112887349705748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331186277","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":[0.6115674,0.0007923685,0.38646033,0.00017270476,0.00048723625,0.00038136358,0.000010566656,0.00009163567,0.000036423182],"genre_scores_gemma":[0.9768714,0.000024131274,0.02254952,0.000038661237,0.00025639377,0.00020477815,0.000023384799,0.00002749711,0.00000426647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991921,0.0000125543975,0.00021704794,0.00014438716,0.00029221727,0.00014168487],"domain_scores_gemma":[0.99948215,0.000061691135,0.0000479668,0.00019409355,0.00015216622,0.000061912455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000656886,0.00011254614,0.00010137458,0.000051407005,0.000049281163,0.000054877743,0.00014554743,0.00007691272,0.000003068424],"category_scores_gemma":[0.00018463601,0.00008476621,0.000026488113,0.00024451577,0.00001036113,0.0001055197,0.000025978034,0.000106421205,4.794832e-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":[0.000006294269,0.0000032062947,0.00012528815,0.000021187985,0.000026968482,5.0539672e-8,0.00037052648,0.9906341,0.0021143788,0.0057050474,0.00019856119,0.0007943947],"study_design_scores_gemma":[0.00018682101,0.000018342476,0.0016087469,0.00006322171,0.00008515011,0.0000017083257,0.00016087218,0.98302865,0.0058647543,0.008764217,0.0001097088,0.000107832435],"about_ca_topic_score_codex":0.000012785223,"about_ca_topic_score_gemma":0.000004726313,"teacher_disagreement_score":0.365304,"about_ca_system_score_codex":0.00006841169,"about_ca_system_score_gemma":0.000031048163,"threshold_uncertainty_score":0.3456666},"labels":[],"label_agreement":null},{"id":"W2336601757","doi":"10.1016/j.proeng.2015.09.071","title":"A New Calculating Model for the Suitable Area of Air Cleaners Purifying Indoor Gaseous Chemical Contaminants","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":5,"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":"National Science Foundation","keywords":"Contamination; Particulates; Environmental science; Indoor air; Environmental engineering; Environmental chemistry; Air contamination; Waste management; Chemistry; Engineering","score_opus":0.027769577964241926,"score_gpt":0.22977355274794586,"score_spread":0.20200397478370394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336601757","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":[0.69109416,0.00012308425,0.30751926,0.00017907865,0.00016188597,0.00054550864,0.00001687265,0.00006820252,0.00029194437],"genre_scores_gemma":[0.9833021,0.0000024586986,0.016237533,0.000062780186,0.00006188669,0.000027973023,0.0000050233275,0.000021766564,0.00027847182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991101,0.00000454371,0.0002192531,0.00017537661,0.00017164162,0.00031910115],"domain_scores_gemma":[0.9995868,0.00010182733,0.000060912324,0.00013129805,0.000017795925,0.00010134641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033244258,0.00012752738,0.0001598443,0.000017670793,0.000048625338,0.000012012145,0.00020058315,0.00008201172,0.0000115318935],"category_scores_gemma":[0.00030513108,0.00010362886,0.000059567505,0.00012055166,0.000030219959,0.00013547474,0.000099413846,0.0001391663,0.0000074482223],"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":[0.00003850143,0.000022239183,0.0005832143,0.00008401815,0.000018182543,0.0000015216053,0.005481854,0.88896954,0.09822835,0.00015648124,0.0021031029,0.0043130233],"study_design_scores_gemma":[0.0006429122,0.000029683515,0.000080879545,0.000040300074,0.000024123958,0.0000137416855,0.000308829,0.9422645,0.055292174,0.000057706322,0.0010849555,0.00016018203],"about_ca_topic_score_codex":0.000163082,"about_ca_topic_score_gemma":0.000025306605,"teacher_disagreement_score":0.29220796,"about_ca_system_score_codex":0.00010988517,"about_ca_system_score_gemma":0.0000472644,"threshold_uncertainty_score":0.42258623},"labels":[],"label_agreement":null},{"id":"W2338073482","doi":"10.1016/j.proeng.2015.09.207","title":"Performance Evaluation of Air-based Building Integrated Photovolta-ic/Thermal (BIPV/T) System with Multiple Inlets in a Cold Climate","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":20,"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","keywords":"Building-integrated photovoltaics; Thermal; Environmental science; Inlet; Engineering; Meteorology; Nuclear engineering; Mechanical engineering; Physics; Electrical engineering; Photovoltaic system","score_opus":0.02252130781529751,"score_gpt":0.21904179206279353,"score_spread":0.19652048424749602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338073482","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":[0.9972037,0.0001992257,0.0010248916,0.0000025901993,0.00026172446,0.00058401475,0.000010258269,0.00022562532,0.00048798101],"genre_scores_gemma":[0.99827176,0.0000014441152,0.0011616718,0.000008293357,0.00008734464,0.0003823707,0.00002015635,0.00006190107,0.0000050554604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828094,0.000062162675,0.00043857816,0.0002598065,0.00056714565,0.00039135272],"domain_scores_gemma":[0.99902874,0.00008585051,0.00018480566,0.00021912172,0.00036136748,0.0001201253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012244027,0.0002535175,0.00035116388,0.00023737099,0.000029927665,0.000016519216,0.00017288656,0.000117012496,0.000007073842],"category_scores_gemma":[0.00020878292,0.00021603577,0.0000406442,0.00057311327,0.000018148346,0.00019736728,0.000026578902,0.00018662159,0.000011175063],"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":[0.00015618539,0.000033478464,0.04852752,0.00055763766,0.000025792744,0.0000045050256,0.00061669206,0.7201251,0.2294219,0.00006927552,0.00000252788,0.00045942233],"study_design_scores_gemma":[0.0021075131,0.00008869011,0.004814789,0.0008631338,0.00002864893,0.0000095941805,0.00026066345,0.7575783,0.23382859,2.6430237e-7,0.00020833849,0.00021145023],"about_ca_topic_score_codex":0.0011959878,"about_ca_topic_score_gemma":0.0002147032,"teacher_disagreement_score":0.04371273,"about_ca_system_score_codex":0.00039192956,"about_ca_system_score_gemma":0.00018708417,"threshold_uncertainty_score":0.88096833},"labels":[],"label_agreement":null},{"id":"W2394706375","doi":"10.1016/j.proeng.2016.04.056","title":"Achieving Sustainable Structural Steel Design by Estimating Fabrication Labor Cost Based on BIM Data","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"BIM and Construction Integration","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":"University of Alberta","funders":"","keywords":"Schedule; Cost estimate; Estimation; Engineering; Activity-based costing; Production (economics); Matching (statistics); Set (abstract data type); Operations research; Manufacturing engineering; Computer science; Business; Economics; Marketing; Systems engineering","score_opus":0.012469442899851187,"score_gpt":0.21569187876420826,"score_spread":0.20322243586435706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394706375","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":[0.011482583,0.00016510455,0.98643124,0.00011547081,0.000518162,0.00032883318,0.000052052823,0.00075557444,0.00015096387],"genre_scores_gemma":[0.9470386,0.000009600864,0.052376233,0.000026005775,0.0002487331,0.000103118866,0.00006523667,0.000060781476,0.00007170395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989623,0.000011612668,0.00023033912,0.00026950432,0.00017871507,0.00034754735],"domain_scores_gemma":[0.99924123,0.00016617482,0.000041678446,0.00036532586,0.0001011945,0.00008437354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017710315,0.00020995752,0.00013622906,0.00014123428,0.00008284979,0.00008424193,0.00026839983,0.00008363111,0.00003806089],"category_scores_gemma":[0.00043395648,0.0001715515,0.000020132387,0.00027381702,0.000014732199,0.0006114128,0.000032968615,0.00014528466,0.00001773431],"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":[0.00002416255,0.000013179018,0.0014917698,0.00049440574,0.000044098295,0.0000036781757,0.00010226698,0.79609513,0.07450807,0.004729253,0.0045731305,0.11792083],"study_design_scores_gemma":[0.00029560283,0.000020275998,0.0005936328,0.00011647037,0.000012502817,0.0000042493084,0.000033295462,0.9870754,0.009044802,0.000047534446,0.0025085139,0.0002477406],"about_ca_topic_score_codex":0.0000040352206,"about_ca_topic_score_gemma":4.4311048e-7,"teacher_disagreement_score":0.935556,"about_ca_system_score_codex":0.00018145188,"about_ca_system_score_gemma":0.000038401286,"threshold_uncertainty_score":0.6995667},"labels":[],"label_agreement":null},{"id":"W2400849538","doi":"10.1016/j.proeng.2016.04.179","title":"Assessment of the Impact of Window Size, Position and Orientation on Building Energy Load Using BIM","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":114,"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":"Window (computing); Position (finance); Orientation (vector space); Energy (signal processing); Efficient energy use; Computer science; Energy consumption; Simulation; Structural engineering; Engineering; Operating system; Electrical engineering; Geometry; Mathematics","score_opus":0.004550326517547461,"score_gpt":0.22639125041689695,"score_spread":0.22184092389934948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400849538","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":[0.8140214,0.00005122818,0.18562518,0.000004786914,0.0001238992,0.000043386804,0.000003807053,0.000051826006,0.00007448583],"genre_scores_gemma":[0.9939869,0.000040148858,0.0058999304,0.0000022052502,0.000038558275,0.000006819781,8.057733e-7,0.000021548763,0.0000030591516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950904,0.000004502728,0.00015596526,0.000089065776,0.00013069327,0.00011072054],"domain_scores_gemma":[0.9997215,0.00005712126,0.000050267085,0.00009932806,0.000045726178,0.000026024376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063611915,0.00010395896,0.000109270026,0.000063252555,0.000021622536,0.0000069440443,0.000057210058,0.00004935519,0.0000043075024],"category_scores_gemma":[0.00003138121,0.00006852914,0.000045019635,0.00018295868,0.000011969852,0.00013085341,0.000017225873,0.000042654046,2.1786667e-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":[0.000002717782,0.0000059156087,0.0023050297,0.000032951557,0.000021565498,9.2328534e-8,0.000017836743,0.70197916,0.2930661,0.0019534105,0.0000013915604,0.0006137897],"study_design_scores_gemma":[0.0003253795,0.000050644063,0.03340435,0.00031181882,0.00001858823,0.000006025035,0.0000033112358,0.7435827,0.2220019,0.00016684437,0.000004197201,0.00012423756],"about_ca_topic_score_codex":0.000023399964,"about_ca_topic_score_gemma":6.754707e-7,"teacher_disagreement_score":0.17996553,"about_ca_system_score_codex":0.00015888432,"about_ca_system_score_gemma":0.000030242789,"threshold_uncertainty_score":0.27945372},"labels":[],"label_agreement":null},{"id":"W2406231571","doi":"10.1016/j.proeng.2016.04.166","title":"Analysis of Costs and Benefits of Panelized and Modular Prefabricated Homes","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Modular design; Engineering; Cost–benefit analysis; Quality (philosophy); Prefabrication; Cost analysis; Quantitative analysis (chemistry); Risk analysis (engineering); Transport engineering; Construction engineering; Work (physics); Architectural engineering; Operations management; Computer science; Operations research; Civil engineering; Business","score_opus":0.006088195311162842,"score_gpt":0.17547429097875775,"score_spread":0.1693860956675949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406231571","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":[0.9857691,0.0017467011,0.012222484,0.000008993632,0.000045560653,0.000051784726,0.000017024522,0.00008323709,0.000055127362],"genre_scores_gemma":[0.9986952,0.0005842844,0.0006814251,7.2104245e-7,0.000010577394,0.000009430403,0.0000024756869,0.000010026316,0.0000058795176],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961716,0.0000019638333,0.00015758516,0.000084024774,0.00006250025,0.00007678257],"domain_scores_gemma":[0.9997888,0.00003535365,0.000025698511,0.00006719698,0.00004817449,0.000034744473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036475478,0.000077848075,0.00018321155,0.00022883876,0.0000060911602,0.000004557121,0.000029097911,0.000044195353,0.000007669775],"category_scores_gemma":[0.000032854456,0.000060682927,0.000025062074,0.00030065875,0.00001859255,0.00008332802,0.000009490673,0.000027061997,2.1808863e-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":[0.00001947572,0.000014440498,0.06467383,0.0006014245,0.0012980842,3.923667e-7,0.00061604334,0.066739745,0.6609861,0.004916956,0.0000117179825,0.20012173],"study_design_scores_gemma":[0.0007261278,0.00003850111,0.34349838,0.00021746583,0.00053300883,0.000008937261,0.00006418505,0.4288425,0.22559156,0.000050804487,0.00013220354,0.0002963317],"about_ca_topic_score_codex":0.000004739397,"about_ca_topic_score_gemma":0.0000024043884,"teacher_disagreement_score":0.43539461,"about_ca_system_score_codex":0.000012724161,"about_ca_system_score_gemma":0.0000030617248,"threshold_uncertainty_score":0.2474578},"labels":[],"label_agreement":null},{"id":"W2418424010","doi":"10.1016/j.proeng.2016.01.327","title":"Which One is More Attractive to Traveler, Taxi or Tailored Taxi? An Empirical Study in China","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"National Natural Science Foundation of China","keywords":"China; Binary logit model; Public transport; Preference; Transport engineering; Market penetration; Travel behavior; Service quality; The Internet; Revealed preference; Business; Marketing; Computer science; Advertising; Service (business); Engineering; Geography; World Wide Web; Economics","score_opus":0.0287188448215753,"score_gpt":0.2907492033778731,"score_spread":0.26203035855629775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418424010","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":[0.9655999,0.00001012697,0.032291945,0.00059502595,0.0001660444,0.00070707826,0.000038090795,0.0004986035,0.00009319025],"genre_scores_gemma":[0.9970159,0.000006985319,0.0023461413,0.00005773172,0.000084023646,0.00035391655,0.000011256047,0.00006283612,0.00006123544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871165,0.000006629424,0.00038450456,0.00031829206,0.00022387627,0.00035502278],"domain_scores_gemma":[0.9994198,0.000046273082,0.00002089403,0.0002448634,0.00009688733,0.00017126168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014268809,0.00023313818,0.00024854863,0.00031757017,0.000032597614,0.00002517757,0.00016460597,0.000093932984,0.00012986825],"category_scores_gemma":[0.00013404574,0.00019508335,0.000027348302,0.0010615464,0.000008760704,0.00034996308,0.000010558005,0.00021829095,0.000029988963],"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":[0.00041901387,0.0031850094,0.36164182,0.0007789336,0.0005404879,0.000071254595,0.13546018,0.29170892,0.17875858,0.00048395176,0.0011232786,0.025828574],"study_design_scores_gemma":[0.0009589688,0.00017946408,0.9808607,0.00007224386,0.00001782456,0.0000029949626,0.0006641613,0.011024342,0.0053519187,0.000010871001,0.0004716963,0.00038479577],"about_ca_topic_score_codex":0.000026872029,"about_ca_topic_score_gemma":0.00067424815,"teacher_disagreement_score":0.6192189,"about_ca_system_score_codex":0.0001289159,"about_ca_system_score_gemma":0.000046262718,"threshold_uncertainty_score":0.7955268},"labels":[],"label_agreement":null},{"id":"W2461023984","doi":"10.1016/j.proeng.2016.06.322","title":"Statistical Analyses of Unidirectional Static Forces on Instrumented Rowing Oarlocks","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Performance and Training","field":"Medicine","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":"Western University","funders":"","keywords":"Rowing; Reliability (semiconductor); Calibration; Simulation; Engineering; Force transducer; Power (physics); Mathematics; Statistics; Acoustics; Physics","score_opus":0.03071812732605649,"score_gpt":0.30822737082205104,"score_spread":0.27750924349599454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461023984","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":[0.9877026,0.000037963357,0.011428414,0.00007637295,0.000108877226,0.00008597068,0.0000074170325,0.00008458937,0.00046781573],"genre_scores_gemma":[0.9958055,0.000020319645,0.003951882,0.000030699317,0.00008935619,0.000013156989,0.0000096913045,0.000016228336,0.00006314383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993184,0.0000011271604,0.00019689529,0.0001210025,0.00019660147,0.0001659605],"domain_scores_gemma":[0.9996974,0.00007489222,0.00003644704,0.00007530383,0.000044869194,0.000071126415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006917833,0.0000956504,0.00017850914,0.00016099498,0.000018538183,0.0000037718169,0.00002842229,0.000029585039,0.000078741796],"category_scores_gemma":[0.0001277557,0.00006453258,0.000033553344,0.00013744227,0.000020455009,0.000087831286,0.000008705376,0.00006955639,0.0000064161422],"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":[0.0006353691,0.00030434562,0.6311754,0.0016503362,0.0008488269,0.00009890183,0.0013020866,0.00470565,0.174867,0.0052694893,0.00036584446,0.17877677],"study_design_scores_gemma":[0.0049926103,0.001345418,0.557369,0.0030664646,0.00037368466,0.00012524333,0.00041169891,0.059548937,0.36959106,0.000121400946,0.0024835563,0.0005709609],"about_ca_topic_score_codex":0.00000600856,"about_ca_topic_score_gemma":4.4866752e-7,"teacher_disagreement_score":0.19472404,"about_ca_system_score_codex":0.000038004233,"about_ca_system_score_gemma":0.00003946612,"threshold_uncertainty_score":0.26315624},"labels":[],"label_agreement":null},{"id":"W2462352232","doi":"10.1016/j.proeng.2016.06.243","title":"Performance of Children and Adult Alpine Helmets under Characteristic Falling Conditions","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Winter Sports Injuries and Performance","field":"Medicine","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":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"","keywords":"Falling (accident); Percentile; Head (geology); Hybrid III; Adult male; Acceleration; Mathematics; Orthodontics; Poison control; Medicine; Statistics; Physics; Geology; Medical emergency","score_opus":0.004301287328532443,"score_gpt":0.20640270414928924,"score_spread":0.2021014168207568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462352232","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":[0.9985902,0.00013832381,0.0007078433,0.00019983681,0.000103516875,0.0001242493,0.00002377977,0.000056783796,0.00005550624],"genre_scores_gemma":[0.9985369,0.000430409,0.0005688451,0.000058621292,0.00020259405,0.000012941779,0.000019083358,0.000018449653,0.00015219615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994398,6.695854e-7,0.00018641572,0.00012489076,0.00009116347,0.0001570994],"domain_scores_gemma":[0.9996853,0.000016430888,0.000047225916,0.00010678436,0.00006979988,0.00007446947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004135894,0.00010369898,0.00017454957,0.000078533885,0.000023444363,0.0000046165305,0.00003822107,0.000037665974,0.00005273662],"category_scores_gemma":[0.000035644556,0.000073420044,0.000025616928,0.000068949164,0.000031663796,0.00012433034,0.000022016646,0.00006848361,0.0000059047566],"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":[0.00015690402,0.00008137257,0.8328584,0.0012555238,0.00019224237,0.000005669303,0.00044326085,0.00017961269,0.15447871,0.0006597007,0.00022202004,0.009466567],"study_design_scores_gemma":[0.00063806976,0.0001685343,0.96835965,0.0006644707,0.000043562213,0.000113417555,0.000006221321,0.0034481217,0.026313296,0.0000040612294,0.00011173373,0.00012888169],"about_ca_topic_score_codex":0.000003156966,"about_ca_topic_score_gemma":3.7700565e-7,"teacher_disagreement_score":0.13550122,"about_ca_system_score_codex":0.000015760748,"about_ca_system_score_gemma":0.00001751702,"threshold_uncertainty_score":0.29939827},"labels":[],"label_agreement":null},{"id":"W2469694107","doi":"10.1016/j.proeng.2016.06.100","title":"The Impact of Freezing-thawing Process on Slope Stability of Earth Structure in Cold Climate","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":34,"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":"Safety factor; Cold climate; Geotechnical engineering; Slope stability; Stability (learning theory); Environmental science; Earth (classical element); Geology; Engineering; Mathematics; Climatology; Computer science","score_opus":0.017880411908400274,"score_gpt":0.23286032676098328,"score_spread":0.214979914852583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469694107","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":[0.9982623,0.00023720182,0.000006357582,0.00003490136,0.00009143224,0.00015152596,0.0009573329,0.000016236447,0.00024273801],"genre_scores_gemma":[0.9997566,0.00014190905,0.000018951336,0.0000032961093,0.0000490226,0.0000015760387,0.000021650214,0.0000044144695,0.0000025831166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991792,0.000010761634,0.00022617435,0.00013966623,0.00015365319,0.00029056036],"domain_scores_gemma":[0.9993902,0.00029616215,0.00007288765,0.0001407121,0.000046798537,0.00005326898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022742954,0.000117639815,0.00016799045,0.000062350395,0.000033273256,0.000012764632,0.000157496,0.000047285637,0.00038159124],"category_scores_gemma":[0.00015315806,0.000060759932,0.000048402348,0.00021277711,0.000033466284,0.00013120595,0.0000098677465,0.00009103227,0.000003793266],"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":[0.000051347015,0.00000769516,0.9356384,0.00018081165,0.000008274001,0.0000011250023,0.0005811538,0.0071674054,0.054731343,0.000016479931,0.000004400373,0.0016115083],"study_design_scores_gemma":[0.00033698324,0.00019030234,0.9015672,0.00025759594,0.000004464843,0.0000025949623,0.00010955884,0.009608677,0.087659456,0.00005007963,0.000061662235,0.00015139667],"about_ca_topic_score_codex":0.00025949566,"about_ca_topic_score_gemma":0.0024050295,"teacher_disagreement_score":0.034071226,"about_ca_system_score_codex":0.0000058478995,"about_ca_system_score_gemma":0.000034692825,"threshold_uncertainty_score":0.41781566},"labels":[],"label_agreement":null},{"id":"W2472573929","doi":"10.1016/j.proeng.2016.06.264","title":"Perceptual Thresholds for Shock-type Excitation of the Front Wheel of a Road Bicycle at the Cyclist's Hands","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology; McGill University; Université de Sherbrooke","funders":"","keywords":"Perception; Shock (circulatory); Vibration; Engineering; Acceleration; Simulation; Structural engineering; Acoustics; Psychology; Physics","score_opus":0.015470114402660383,"score_gpt":0.2718141050068291,"score_spread":0.25634399060416874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472573929","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":[0.9919374,0.00035388517,0.0047088033,0.0017881583,0.00023191328,0.00074914383,0.000010669304,0.000038869584,0.00018117319],"genre_scores_gemma":[0.9982581,0.000035820554,0.00097126013,0.00007991942,0.00016057513,0.00006838061,0.0000045205616,0.0000251698,0.0003962549],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99923134,0.000010679385,0.00024954282,0.00012915123,0.00021595963,0.00016332767],"domain_scores_gemma":[0.9992023,0.00025220966,0.000097103104,0.00024054588,0.00015516118,0.000052664884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024039717,0.00010012505,0.00018356966,0.000052341093,0.00004489029,0.000003821203,0.00010344632,0.00006244714,0.000043923304],"category_scores_gemma":[0.0008747877,0.000049082013,0.000077774755,0.000107974694,0.000049573006,0.000080637365,0.00003757,0.00006460238,0.000004899099],"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":[0.00039396944,0.000085872016,0.03506594,0.0014547019,0.000072932366,3.3497665e-7,0.0037463282,0.001021598,0.9481641,0.0006274985,0.0018836769,0.0074830195],"study_design_scores_gemma":[0.0050639147,0.0013554513,0.6019499,0.0013474347,0.00016967965,0.000027949654,0.00039838688,0.028853845,0.35839534,0.0001839296,0.0019572722,0.00029692004],"about_ca_topic_score_codex":0.000014842113,"about_ca_topic_score_gemma":0.000025942665,"teacher_disagreement_score":0.5897688,"about_ca_system_score_codex":0.000080025144,"about_ca_system_score_gemma":0.000089462745,"threshold_uncertainty_score":0.20015064},"labels":[],"label_agreement":null},{"id":"W2473427461","doi":"10.1016/j.proeng.2016.06.295","title":"Sprint Canoe Blade Hydrodynamics - Modeling and On-water Measurement","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Blade (archaeology); Sprint; Pressure measurement; Blade element momentum theory; Mechanics; Vortex; Structural engineering; Engineering; Blade element theory; Marine engineering; Strain gauge; Rotor (electric); Simulation; Aerospace engineering; Mechanical engineering; Physics; Turbine blade","score_opus":0.007821885424245402,"score_gpt":0.15043761678030948,"score_spread":0.1426157313560641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473427461","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":[0.76762575,0.00016560638,0.23080939,0.00009933474,0.0004886317,0.00014718859,0.0000064265737,0.0005012419,0.00015641372],"genre_scores_gemma":[0.99865305,0.00018110307,0.00094186,0.0000108704,0.000107717504,0.000026972904,0.0000019624217,0.00006556188,0.000010905383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990132,0.0000013002533,0.00018846177,0.00020787926,0.000225742,0.00036340396],"domain_scores_gemma":[0.9996724,0.000007807409,0.000008860396,0.00015708087,0.00003915309,0.00011471485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016141904,0.00021013197,0.00014609042,0.00012339835,0.00002579032,0.000027407921,0.00009061765,0.00007816437,0.000008564288],"category_scores_gemma":[0.000019012763,0.00014022541,0.000033819757,0.000060236733,0.000005965235,0.000078827085,0.000038937356,0.00010308521,0.000014496159],"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":[0.0000064123733,0.00001122772,0.000062911815,0.00015184232,0.000050074606,0.000008889673,0.00009863817,0.7365135,0.25424838,0.0015683961,0.000007480836,0.00727227],"study_design_scores_gemma":[0.0001959823,0.000014506222,0.00005630822,0.00010583126,0.000010252599,0.000008973169,0.0000055668443,0.9867758,0.011912492,0.00012958908,0.0005189444,0.00026573607],"about_ca_topic_score_codex":0.0000053068584,"about_ca_topic_score_gemma":0.0000102488075,"teacher_disagreement_score":0.25026235,"about_ca_system_score_codex":0.00018761045,"about_ca_system_score_gemma":0.000011461597,"threshold_uncertainty_score":0.57182264},"labels":[],"label_agreement":null},{"id":"W2473872939","doi":"10.1016/j.proeng.2016.06.269","title":"An Assessment of Bicycle Frame Behaviour under Various Load Conditions Using Numerical Simulations","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Structural engineering; Context (archaeology); Finite element method; Saddle; Frame (networking); Engineering; Computer science; Mechanical engineering; Geology","score_opus":0.022300164016816205,"score_gpt":0.34096030011184963,"score_spread":0.3186601360950334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473872939","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":[0.3065013,0.000036437796,0.69270843,0.000020397665,0.00013600993,0.00012111075,0.000053840515,0.00037098615,0.000051500538],"genre_scores_gemma":[0.9700495,0.000008182008,0.029719964,0.000004671074,0.000093038034,0.000033100707,0.000013136088,0.000065919194,0.000012506568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987955,0.000011362669,0.00031831657,0.0002009743,0.00032338285,0.00035045846],"domain_scores_gemma":[0.99920636,0.00015355478,0.000024625575,0.00029328562,0.000116701834,0.00020544011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011654,0.00018338572,0.00021392116,0.000195168,0.000053150317,0.000030991054,0.00017557945,0.000120790326,0.00017014744],"category_scores_gemma":[0.000095181145,0.00016207945,0.000058397884,0.0003825427,0.000019614314,0.0002941571,0.000027491997,0.00020404793,0.000008317733],"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":[6.865051e-7,0.00003910417,0.0004105718,0.00004464987,0.00002359122,0.0000010882789,0.000022748116,0.71800786,0.2792039,0.0020288157,0.000007451668,0.00020956267],"study_design_scores_gemma":[0.00024844197,0.000044719727,0.0047938414,0.00006836949,0.000021213224,0.0000071535806,0.0000080276295,0.98296404,0.011395436,0.00018649158,0.00004199437,0.00022025789],"about_ca_topic_score_codex":0.000012980005,"about_ca_topic_score_gemma":0.00000171703,"teacher_disagreement_score":0.6635482,"about_ca_system_score_codex":0.00023211134,"about_ca_system_score_gemma":0.00009521695,"threshold_uncertainty_score":0.6609408},"labels":[],"label_agreement":null},{"id":"W2512215339","doi":"10.1016/j.proeng.2016.07.531","title":"Sensitivity Analysis in Hydrological Modeling for the Gulf of México","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Consejo Nacional de Ciencia y Tecnología; École de technologie supérieure","keywords":"Sensitivity (control systems); Toolbox; Environmental science; Calibration; Monte Carlo method; Uncertainty analysis; Surface runoff; Hydrological modelling; Computer science; Econometrics; Climatology; Statistics; Engineering; Simulation; Mathematics; Ecology","score_opus":0.011856012362755427,"score_gpt":0.2047265981839798,"score_spread":0.19287058582122438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512215339","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":[0.6135549,0.000019979205,0.38569468,0.00049343,0.000022785425,0.00010231891,0.0000013052692,0.000016503314,0.00009409333],"genre_scores_gemma":[0.999124,0.000023769235,0.0007460699,0.000028719527,0.00001337166,0.00003600102,3.3869816e-7,0.000003323692,0.000024402178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995381,0.0000068484514,0.00010377407,0.00013448148,0.00006069967,0.00015604375],"domain_scores_gemma":[0.99970347,0.00018025814,0.000017022216,0.000083098945,0.0000027949363,0.000013365465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034570115,0.000060807153,0.00011471524,0.000041778014,0.000028041071,0.0000018017239,0.00006554769,0.000028376846,0.000020182782],"category_scores_gemma":[0.000115309784,0.00003243504,0.000048632934,0.00018096184,0.00003528297,0.000055709574,0.000092437054,0.000032043325,0.0000055076953],"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":[0.000008608026,0.000009592737,0.10008822,0.0000065055697,0.00005901207,8.2961594e-7,0.0001047517,0.8960093,0.0030038469,0.00008562331,0.000007940479,0.0006157361],"study_design_scores_gemma":[0.00013979843,0.000012976564,0.038295582,0.000003833868,0.00006775327,2.918376e-7,0.000009099463,0.96043175,0.00067130907,0.00022528625,0.000084612875,0.000057681515],"about_ca_topic_score_codex":0.000027196578,"about_ca_topic_score_gemma":0.00007735254,"teacher_disagreement_score":0.3855691,"about_ca_system_score_codex":0.000021893686,"about_ca_system_score_gemma":7.045146e-7,"threshold_uncertainty_score":0.13226625},"labels":[],"label_agreement":null},{"id":"W2559373721","doi":"10.1016/j.proeng.2016.11.591","title":"Comparing Time and Quantity Scales for Relationship and Float Calculations","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Scale (ratio); Schedule; Point (geometry); Work (physics); Margin (machine learning); Computer science; Probabilistic logic; Industrial engineering; Section (typography); Mathematics; Engineering; Statistics; Geometry; Mechanical engineering; Physics","score_opus":0.015951286683706933,"score_gpt":0.20380093731705715,"score_spread":0.1878496506333502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559373721","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":[0.78521687,0.00042030078,0.21350282,0.00006471204,0.00014655257,0.00013561634,0.000009782543,0.00033436634,0.00016901309],"genre_scores_gemma":[0.9941021,0.000024652792,0.0056874594,0.0000021620779,0.000078396006,0.000038677714,0.0000039774295,0.000016778155,0.00004576875],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996429,0.0000019259887,0.00011190986,0.00009595791,0.00003977247,0.00010753725],"domain_scores_gemma":[0.99974895,0.00011557559,0.000010153617,0.000049758797,0.000026487418,0.00004907997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005251339,0.000083403495,0.00008524787,0.0000706684,0.00005522794,0.000027458791,0.0000220999,0.00004946578,0.0000039792008],"category_scores_gemma":[0.00008309252,0.00007059434,0.000015504833,0.000059843653,0.000018732862,0.00019855586,0.000008036161,0.000044466487,0.0000059545055],"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":[0.00002701628,0.000020156776,0.45259175,0.0010922063,0.00015150096,8.906755e-7,0.0007616596,0.057248455,0.18912314,0.2455269,0.00074415474,0.052712176],"study_design_scores_gemma":[0.00044401703,0.0000122470265,0.123492084,0.00011057991,0.000022277183,0.000022817316,0.000011826501,0.8704066,0.0030797343,0.00075176475,0.0013953388,0.0002506945],"about_ca_topic_score_codex":0.0000015176904,"about_ca_topic_score_gemma":0.000011133916,"teacher_disagreement_score":0.81315815,"about_ca_system_score_codex":0.00002234769,"about_ca_system_score_gemma":0.0000037081686,"threshold_uncertainty_score":0.28787535},"labels":[],"label_agreement":null},{"id":"W2562263019","doi":"10.1016/j.proeng.2016.11.744","title":"A Focus on the Contribution of Promoting TOD to Increasing Tehran's Public Spaces","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":6,"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":"Metropolitan area; Public transport; Transit-oriented development; Geography; Transport engineering; Population; Service (business); Residential area; Quarter (Canadian coin); Square (algebra); Environmental planning; Urban planning; Business; Civil engineering; Engineering","score_opus":0.004618960107933673,"score_gpt":0.18030184447317577,"score_spread":0.1756828843652421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562263019","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":[0.9623242,0.00008764097,0.033967182,0.0018620254,0.0001631659,0.00040388462,0.0000038373655,0.00032974954,0.0008583367],"genre_scores_gemma":[0.9991088,0.000006144643,0.00065071136,0.00001915716,0.0001149733,0.000062918676,8.113757e-7,0.000030966217,0.000005523595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990398,0.000017275577,0.00022835292,0.00016043351,0.00017984613,0.0003742833],"domain_scores_gemma":[0.9991954,0.00034906412,0.000029935361,0.00020704379,0.00012194717,0.00009660214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041792664,0.00017311946,0.00018049858,0.00012031843,0.000050606202,0.00004770462,0.00016733886,0.00006788909,0.000025642044],"category_scores_gemma":[0.0017337496,0.00010529888,0.00005072343,0.00030443855,0.000018924402,0.00020972171,0.000036900674,0.00012339278,0.0000062433487],"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":[0.00010461595,0.00008515968,0.016705407,0.0007745791,0.0002656185,0.0000086712225,0.003505071,0.017536514,0.7601145,0.09958892,0.00054264854,0.10076831],"study_design_scores_gemma":[0.002417881,0.0007077562,0.04620644,0.0015078479,0.00008521073,0.00007464934,0.0008991441,0.06376326,0.84782207,0.016609233,0.018011814,0.0018946668],"about_ca_topic_score_codex":0.000007534778,"about_ca_topic_score_gemma":0.000005560282,"teacher_disagreement_score":0.098873645,"about_ca_system_score_codex":0.00018298617,"about_ca_system_score_gemma":0.000035332156,"threshold_uncertainty_score":0.42939636},"labels":[],"label_agreement":null},{"id":"W2594539118","doi":"10.1016/j.proeng.2017.01.043","title":"Modeling of Liquefaction using Two-phase FEM with UBC3D-PLM model","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","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":"McMaster University","funders":"Rijkswaterstaat; Deltares; Stichting voor de Technische Wetenschappen; Universiteit Utrecht","keywords":"Liquefaction; Finite element method; Geotechnical engineering; Soil liquefaction; Earthquake shaking table; Dike; Deformation (meteorology); Benchmark (surveying); Phase (matter); Engineering; Geology; Structural engineering; Chemistry","score_opus":0.021995311637568387,"score_gpt":0.27636621104330034,"score_spread":0.25437089940573193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594539118","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":[0.48310325,0.000034105098,0.51604074,0.000004225701,0.0001270175,0.00007292714,0.0000069697435,0.00013723475,0.00047354674],"genre_scores_gemma":[0.9696492,0.000018524779,0.030150566,0.0000018142556,0.00008127735,0.000014943392,0.0000059148215,0.000059772516,0.000018017847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993332,0.0000013857249,0.00021626688,0.000136022,0.000113823284,0.0001992805],"domain_scores_gemma":[0.99947923,0.000012419364,0.000040244737,0.0003034248,0.00010137812,0.00006327689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053294338,0.00016157501,0.0001638871,0.00014776395,0.00013000728,0.00007104337,0.00013569299,0.000053080166,0.0000055838536],"category_scores_gemma":[0.000036717287,0.00016709058,0.000044471482,0.00006548577,0.000012279543,0.0006381948,0.00002399989,0.00017521612,0.0000020326743],"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":[0.000008395651,0.000016382795,0.000040233135,0.00008818174,0.00003122541,9.166251e-7,0.00012016394,0.9705066,0.028372379,0.0005555817,0.0000017645889,0.000258176],"study_design_scores_gemma":[0.0004872235,0.000020394393,0.000013276994,0.0001081481,0.000028760618,0.000010357577,0.000017243257,0.9966345,0.002439745,0.000044530385,0.0000085157035,0.00018729456],"about_ca_topic_score_codex":0.00004332071,"about_ca_topic_score_gemma":0.000014743781,"teacher_disagreement_score":0.48654592,"about_ca_system_score_codex":0.00009290401,"about_ca_system_score_gemma":0.000026808517,"threshold_uncertainty_score":0.68137556},"labels":[],"label_agreement":null},{"id":"W2594630883","doi":"10.1016/j.proeng.2017.01.268","title":"Geological Structure and Subsurface Stratigraphy of the Middle Devonian-age Saskatchewan Basin","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":2,"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":"Devonian; Stratigraphy; Geology; Structural basin; Paleontology; Geochemistry; Tectonics","score_opus":0.014961526066189173,"score_gpt":0.1900215766491632,"score_spread":0.17506005058297402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594630883","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":[0.9942484,0.002025462,0.0000552562,0.000091362905,0.00017007657,0.0000964814,0.000043605694,0.000021916703,0.0032474613],"genre_scores_gemma":[0.9979259,0.000016173699,0.0020008697,0.000008963942,0.000034283436,5.298022e-7,0.000001463548,8.5059634e-7,0.0000109918055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939775,0.00001222494,0.00012360519,0.00015940587,0.000108332,0.00019868618],"domain_scores_gemma":[0.9995682,0.000056340403,0.00007883526,0.00021359927,0.0000146749535,0.000068310226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009092125,0.00011793073,0.0001536074,0.000027497417,0.00022209302,0.000048668167,0.00031087775,0.000105910025,0.000042639203],"category_scores_gemma":[0.00008054219,0.00007787795,0.00004885157,0.000054895903,0.00020776204,0.00014195325,0.000004500781,0.00018453322,4.0047496e-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":[0.000007185305,0.000002754942,0.99413264,0.000052409778,0.000017231045,0.00000578379,0.0004471877,0.00041364637,0.0008071232,0.00013511359,0.00000601275,0.0039729257],"study_design_scores_gemma":[0.00011190411,0.000029179108,0.99547094,0.000023008624,0.000009655396,0.000015351643,0.00007932615,0.0016844267,0.0018311203,0.0006122584,0.000035377918,0.000097435484],"about_ca_topic_score_codex":0.00028426285,"about_ca_topic_score_gemma":0.0056561492,"teacher_disagreement_score":0.0053718863,"about_ca_system_score_codex":5.042876e-7,"about_ca_system_score_gemma":0.000026152302,"threshold_uncertainty_score":0.31757706},"labels":[],"label_agreement":null},{"id":"W2608307663","doi":"10.1016/j.proeng.2017.04.060","title":"Observations on Heat Generated in Single Point Incremental Forming","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Metal Forming Simulation Techniques","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":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Lubricant; Point (geometry); Deformation (meteorology); Rotation (mathematics); Incremental sheet forming; Tool path; Orientation (vector space); Geometry; Infrared; Path (computing); Interface (matter); Composite material; Mechanics; Sheet metal; Mechanical engineering; Metallurgy; Computer science; Engineering; Optics; Mathematics; Physics; Machining","score_opus":0.038514497947582126,"score_gpt":0.24392201797101212,"score_spread":0.20540752002343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608307663","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":[0.989887,0.00006141239,0.006928477,0.000041776417,0.00032485923,0.00024367598,0.0000046231735,0.00083619123,0.001671998],"genre_scores_gemma":[0.9881265,0.00001102113,0.0115817385,0.000020067824,0.00009761164,0.00006662616,0.000014446169,0.000053222822,0.000028748642],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992091,0.000002537933,0.0002481651,0.00014615868,0.00013557669,0.00025848183],"domain_scores_gemma":[0.9995775,0.000028463222,0.000023825001,0.00028731656,0.000025896032,0.00005696111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013673663,0.00016961762,0.00015304505,0.00018845794,0.00009306829,0.00009582748,0.00020102291,0.00007192132,0.000013431209],"category_scores_gemma":[0.00020537524,0.00018989375,0.00003455685,0.00010368374,0.000009309231,0.00051302055,0.00004145259,0.00017196515,0.000013666901],"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":[0.000007570836,0.000053061056,0.0058490494,0.00024462075,0.000029089886,0.000012482602,0.00043841277,0.3416502,0.64297754,0.0042006564,0.00019436095,0.004342984],"study_design_scores_gemma":[0.00028386945,0.00003399386,0.009498594,0.00015550446,0.00000464571,0.0000037570699,0.000010413624,0.61961716,0.36916512,0.00020213191,0.0007477419,0.0002770795],"about_ca_topic_score_codex":0.000020126012,"about_ca_topic_score_gemma":0.000017334696,"teacher_disagreement_score":0.27796695,"about_ca_system_score_codex":0.00019236188,"about_ca_system_score_gemma":0.0000074181567,"threshold_uncertainty_score":0.77436423},"labels":[],"label_agreement":null},{"id":"W2610623086","doi":"10.1016/j.proeng.2017.04.144","title":"Effect of Superheating Melt Treatment on Mg 2 Si Particulate Reinforced in Al-Mg 2 Si-Cu In situ Composite","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Universiti Teknologi Malaysia","keywords":"Superheating; Materials science; Composite number; Nucleation; Composite material; Particulates; Phase (matter); Thermal; In situ; Metallurgy; Chemistry","score_opus":0.008022041296981123,"score_gpt":0.2193121968625192,"score_spread":0.2112901555655381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610623086","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":[0.9974485,0.00029505815,0.00012861463,0.000036870642,0.00023507387,0.0005435375,0.0000028445572,0.00026954283,0.0010399461],"genre_scores_gemma":[0.9990041,0.00006647044,0.00054880994,0.000009447896,0.000062833125,0.000176825,0.000009199587,0.00009084234,0.000031472464],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983983,0.000022292776,0.0005097165,0.0002924275,0.00022076546,0.0005565009],"domain_scores_gemma":[0.99909455,0.0002071422,0.000067127905,0.00050212065,0.00002572873,0.00010332704],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002630896,0.0004217595,0.0005850572,0.0002601321,0.00006574189,0.00007973133,0.00030202302,0.00011641646,0.0000052319406],"category_scores_gemma":[0.00017344324,0.00038645323,0.000097858996,0.00014426504,0.0000323319,0.00034255377,0.000082014085,0.00026578867,0.0000223526],"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":[0.000061636245,0.000016536875,0.008149846,0.00040322656,0.00004554335,0.000032542055,0.000957615,0.4749842,0.5134424,0.000034135315,0.000003204202,0.0018690855],"study_design_scores_gemma":[0.0011604003,0.00030115416,0.007956464,0.00048545274,0.000019438838,0.0000067997144,0.000009881258,0.5177994,0.47192547,0.0000013855523,0.00004620782,0.000287956],"about_ca_topic_score_codex":0.000108499284,"about_ca_topic_score_gemma":0.000053394997,"teacher_disagreement_score":0.042815182,"about_ca_system_score_codex":0.00035142704,"about_ca_system_score_gemma":0.000015148596,"threshold_uncertainty_score":0.99985874},"labels":[],"label_agreement":null},{"id":"W2612389131","doi":"10.1016/j.proeng.2017.03.268","title":"Gene Expression Programing in Long Term Water Demand Forecasts Using Wavelet Decomposition","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water resources management and optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Gene expression programming; Wavelet; Decomposition; Term (time); Projection (relational algebra); Haar wavelet; Computer science; Expression (computer science); Econometrics; Wavelet transform; Mathematics; Artificial intelligence; Ecology; Algorithm; Discrete wavelet transform; Biology","score_opus":0.011019283868276844,"score_gpt":0.22310302121379974,"score_spread":0.21208373734552288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612389131","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":[0.8876025,0.00009755543,0.11145907,0.0000070880074,0.00021294759,0.00027054406,6.944933e-7,0.00023060691,0.0001189906],"genre_scores_gemma":[0.9810626,0.000023514653,0.0186035,0.0000022869144,0.00016169548,0.000040239356,0.000035579546,0.000057325014,0.000013287898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913394,0.0000038200515,0.00019894319,0.00018040961,0.000115103234,0.00036776962],"domain_scores_gemma":[0.9996873,0.0000049658493,0.000030109426,0.00020616285,0.000015982836,0.00005543925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108313,0.00018253567,0.0001440469,0.00018101624,0.000117948606,0.0002364124,0.00018391054,0.000073177966,0.000007168248],"category_scores_gemma":[0.000010310159,0.00016516443,0.00003267604,0.00004496566,0.000009620023,0.0005648426,0.00009585891,0.00011695259,0.0000052516752],"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":[0.000007018562,0.000014161694,0.015392029,0.00047834284,0.00001627424,0.000029634984,0.00063567254,0.79958594,0.17828387,0.0000027398821,0.0000037152831,0.0055505857],"study_design_scores_gemma":[0.00032050893,0.000007278969,0.018452393,0.00021828472,0.000010863052,0.0000074542777,0.0000039740085,0.74089813,0.23983039,0.000006889703,0.000028686098,0.00021514398],"about_ca_topic_score_codex":0.0000037309103,"about_ca_topic_score_gemma":0.000004267966,"teacher_disagreement_score":0.09346007,"about_ca_system_score_codex":0.00007651675,"about_ca_system_score_gemma":0.0000018252667,"threshold_uncertainty_score":0.673521},"labels":[],"label_agreement":null},{"id":"W2613090107","doi":"10.1016/j.proeng.2017.03.220","title":"Generation and Validation of Synthetic WDS Case Studies Using Graph Theory and Reliability Indexes","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Water Systems and Optimization","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":"Queen's University","funders":"","keywords":"Reliability (semiconductor); Computer science; Similarity (geometry); Data mining; Graph; Reliability engineering; Synthetic data; Artificial intelligence; Engineering; Theoretical computer science","score_opus":0.025132453174630177,"score_gpt":0.24431936599729726,"score_spread":0.21918691282266708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613090107","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":[0.94623935,0.0007968077,0.05254351,0.000004302681,0.00022416505,0.00011487699,0.0000025527702,0.000059525126,0.000014883639],"genre_scores_gemma":[0.9971361,0.00013929428,0.0026188705,4.976546e-7,0.000072030954,0.000011104163,0.0000012281472,0.000016670288,0.000004194579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959123,0.000009386991,0.00015650284,0.0001093863,0.000050713006,0.00008275739],"domain_scores_gemma":[0.99970603,0.000035428086,0.00004222258,0.00013891142,0.000050692335,0.000026702222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000299368,0.000094228526,0.0001342656,0.00006491107,0.00009394782,0.000049407874,0.00003064343,0.000044833883,5.012621e-7],"category_scores_gemma":[0.00021133442,0.000089226196,0.000012120073,0.000028898006,0.000030369301,0.00027163903,0.00002804643,0.000043685177,8.3693386e-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":[0.0000034634552,0.0000047620983,0.0053488435,0.0012743442,0.000046880945,0.00001037816,0.0021179616,0.9768156,0.013277839,0.0005774527,0.0000064356773,0.0005160756],"study_design_scores_gemma":[0.00019513677,0.00001676397,0.0011752733,0.00014762656,0.000055912587,0.00021735419,0.0001446003,0.9324078,0.06511859,0.00031631038,0.0000073439974,0.00019726476],"about_ca_topic_score_codex":0.000009721161,"about_ca_topic_score_gemma":0.000006885686,"teacher_disagreement_score":0.051840752,"about_ca_system_score_codex":0.000017409146,"about_ca_system_score_gemma":0.000003085445,"threshold_uncertainty_score":0.36385387},"labels":[],"label_agreement":null},{"id":"W2638304165","doi":"10.1016/j.proeng.2017.05.247","title":"Calibrated Partial Factors for Support of Wedges Exposed in Tunnels","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision 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 Toronto","funders":"","keywords":"Limit state design; Eurocode; Wedge (geometry); Probabilistic logic; Context (archaeology); Engineering; Limit (mathematics); Code (set theory); Reliability (semiconductor); Computer science; Structural engineering; Civil engineering; Geology; Mathematics","score_opus":0.15244791857817358,"score_gpt":0.3437335438200714,"score_spread":0.1912856252418978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2638304165","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":[0.57953984,0.00007280583,0.41814417,0.00013954497,0.0011655828,0.0005440761,0.000042697135,0.00012246826,0.00022880542],"genre_scores_gemma":[0.9940165,0.0000034297195,0.0056489026,0.0000046812784,0.000092589544,0.000050911985,0.0000040430564,0.000023176022,0.00015571358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984377,0.000007414995,0.0005574027,0.00031631102,0.00035736058,0.00032382735],"domain_scores_gemma":[0.9983484,0.00074453506,0.00017584776,0.00048932934,0.00013430527,0.00010757318],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00088729244,0.00016929842,0.00036952202,0.00021554243,0.00007066668,0.000119779696,0.0007560687,0.00010264154,0.000043196687],"category_scores_gemma":[0.009977232,0.00013323642,0.00009108987,0.0001690961,0.000048071543,0.00036192322,0.00008224069,0.0001018782,0.000007271914],"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":[0.0001668952,0.0003611136,0.12170289,0.00073342014,0.00011252303,0.000034523247,0.0066824197,0.70908195,0.13378069,0.016616412,0.0042700563,0.0064571393],"study_design_scores_gemma":[0.0019117888,0.00025083133,0.08427953,0.00013033654,0.000030275934,0.00000549397,0.00035011987,0.72710913,0.176958,0.002727462,0.0054873875,0.0007596284],"about_ca_topic_score_codex":0.0000121662015,"about_ca_topic_score_gemma":0.0000038665944,"teacher_disagreement_score":0.41447672,"about_ca_system_score_codex":0.00002532683,"about_ca_system_score_gemma":0.00008214913,"threshold_uncertainty_score":0.9983621},"labels":[],"label_agreement":null},{"id":"W267482978","doi":"10.1016/j.proeng.2010.04.183","title":"Poster Session II, July 14th 2010 — Abstracts","year":2010,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Traumatic Brain Injury Research","field":"Medicine","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":"University of Ottawa","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","score_opus":0.026438504117392136,"score_gpt":0.2905231732909987,"score_spread":0.26408466917360657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W267482978","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":[0.9895098,0.000040222283,0.00009663582,0.0010812146,0.0010418578,0.00036660797,0.000004417982,0.00029550746,0.007563723],"genre_scores_gemma":[0.99089634,0.000005079182,0.0062638405,0.0001010226,0.00064434734,0.000042243708,0.00001133051,0.0000527569,0.0019830381],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987685,0.0000028855754,0.00024379285,0.00022572197,0.00036334607,0.00039577062],"domain_scores_gemma":[0.9991861,0.000088807574,0.000034225814,0.00030323167,0.000105001796,0.00028265797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026574102,0.00016058398,0.00019529076,0.00016409352,0.000059794933,0.00002745097,0.00012565622,0.00015778662,0.00027446423],"category_scores_gemma":[0.00065583235,0.0001366431,0.000054388674,0.00017346904,0.000025554931,0.00014713117,0.0000753137,0.0008841735,0.00026964713],"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":[0.000097756354,0.00020171504,0.0063761105,0.00097618595,0.00006512785,0.00008131781,0.0010487977,0.00009272891,0.96842164,0.000092229035,0.01158214,0.010964254],"study_design_scores_gemma":[0.0034711128,0.0006051163,0.6526156,0.00078713807,0.000105754785,0.0010873262,0.00006461918,0.0121723125,0.24932604,0.000076452554,0.07881486,0.0008736779],"about_ca_topic_score_codex":0.0000057336115,"about_ca_topic_score_gemma":0.000002255538,"teacher_disagreement_score":0.7190956,"about_ca_system_score_codex":0.000026732787,"about_ca_system_score_gemma":0.0000907458,"threshold_uncertainty_score":0.5572144},"labels":[],"label_agreement":null},{"id":"W2685652893","doi":"10.1016/j.proeng.2017.05.229","title":"Rock Engineering Design in Frozen and Thawing Rock: Current Approaches and Future Directions","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rock mass classification; Classification of discontinuities; Context (archaeology); Geotechnical engineering; Geology; Current (fluid); Mining engineering; Lead (geology); Work (physics); Civil engineering; Engineering; Mechanical engineering; Geomorphology","score_opus":0.054722691105007305,"score_gpt":0.2199914835462773,"score_spread":0.16526879244127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2685652893","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":[0.9350622,0.052504785,0.008021148,0.0006181523,0.0020954208,0.00064966903,0.00023039569,0.00025442074,0.0005637744],"genre_scores_gemma":[0.99539024,0.0031737548,0.00073203037,0.000005764718,0.0006301523,0.000008675923,0.000042473162,0.000009301582,0.000007622634],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993171,0.0000051929096,0.000113346025,0.0002190783,0.00008122114,0.00026402847],"domain_scores_gemma":[0.99966204,0.00007140913,0.00003065932,0.00011839912,0.000008127549,0.000109368426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001406226,0.00015235221,0.00014781594,0.000105894986,0.00016646608,0.00017389306,0.00010677907,0.000058669746,0.00005021394],"category_scores_gemma":[0.00005981591,0.00014298971,0.00001718408,0.000063296546,0.0000052077826,0.0003507074,0.00002764007,0.0001880552,0.0000069792436],"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":[0.000020517946,0.000018054188,0.8433485,0.0006551914,0.000026124528,0.000017398412,0.004367126,0.06776691,0.0005110991,0.000070790906,0.00005365708,0.083144605],"study_design_scores_gemma":[0.00015136569,0.000013479318,0.44300848,0.00006922406,0.0000080429245,0.00001936009,0.000100470716,0.55119777,0.00007844299,0.000011246135,0.0051627117,0.00017940225],"about_ca_topic_score_codex":0.00013753757,"about_ca_topic_score_gemma":0.0002813329,"teacher_disagreement_score":0.48343086,"about_ca_system_score_codex":0.000004905567,"about_ca_system_score_gemma":0.000009389313,"threshold_uncertainty_score":0.58309513},"labels":[],"label_agreement":null},{"id":"W2690238944","doi":"10.1016/j.proeng.2017.05.246","title":"Assessment of Rockburst Hazard Based on the Data of Mine Seismology","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nickel Institute","funders":"","keywords":"Induced seismicity; Geology; Seismic hazard; Seismology; Seismic energy; Rock mass classification; Mining engineering; Passive seismic; Hazard; Geotechnical engineering","score_opus":0.027577218517686488,"score_gpt":0.2525679232539115,"score_spread":0.22499070473622498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2690238944","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":[0.0959705,0.0002138821,0.8983893,0.0010108268,0.00088247855,0.0004706893,0.000118106786,0.00047329278,0.002470946],"genre_scores_gemma":[0.9935559,0.00001743922,0.0062421113,0.000020851854,0.000074134274,0.000027373177,0.000013491768,0.000037525297,0.000011176888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899125,0.0000046622786,0.00031617636,0.00020386247,0.00021808794,0.0002659857],"domain_scores_gemma":[0.99827373,0.00020321186,0.00007548626,0.0013359329,0.000043734424,0.00006789279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003142476,0.00019024593,0.00030698482,0.00008129438,0.00004749864,0.000018867066,0.0011259643,0.0001044355,0.00003035955],"category_scores_gemma":[0.0005145925,0.00014849205,0.00006130598,0.00009812621,0.00003536401,0.00010166412,0.00022167142,0.00029585013,0.0000032690439],"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":[0.0000025368988,0.000024782777,0.00022877454,0.0003681896,0.00003444971,0.0000025273803,0.0000064177298,0.983451,0.012931071,0.0014895434,0.00011995293,0.0013407521],"study_design_scores_gemma":[0.00020463398,0.000053463893,0.0038696213,0.00013333932,0.000020979465,0.0000020508878,0.000003425378,0.9841493,0.009297185,0.000049473176,0.002063081,0.00015346456],"about_ca_topic_score_codex":0.000009683093,"about_ca_topic_score_gemma":0.0000023381058,"teacher_disagreement_score":0.8975854,"about_ca_system_score_codex":0.000021644884,"about_ca_system_score_gemma":0.000021976435,"threshold_uncertainty_score":0.605533},"labels":[],"label_agreement":null},{"id":"W2732370207","doi":"10.1016/j.proeng.2017.06.231","title":"Sensor and Dimensions Effects in Ultrasonic Pulse Velocity Measurements in Mortar Specimens","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":15,"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":"University of Waterloo","keywords":"Laser Doppler vibrometer; Ultrasonic sensor; Nondestructive testing; Acoustics; Transducer; Mortar; Ultrasonic testing; Structural engineering; Materials science; Engineering; Laser; Optics; Physics; Composite material; Laser beams","score_opus":0.012808867408713467,"score_gpt":0.2110859528348232,"score_spread":0.19827708542610972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732370207","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":[0.9963738,0.00046246254,0.0021352768,0.000026375936,0.0002934981,0.00028359087,0.0000039336855,0.00012298167,0.00029808033],"genre_scores_gemma":[0.99638647,0.00014593662,0.0033092625,0.0000049854743,0.00006135918,0.000041566127,0.0000032509577,0.000038021466,0.00000916858],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991131,0.000005148631,0.00019694201,0.0002016312,0.00014628396,0.00033690347],"domain_scores_gemma":[0.9995995,0.000065446526,0.000028558114,0.00020213437,0.000020828771,0.000083531166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020287196,0.00018311941,0.00019801588,0.00014243447,0.00005907585,0.00006767998,0.000112939895,0.00007914719,0.000004231023],"category_scores_gemma":[0.00042994897,0.0002003147,0.000020670153,0.00009107317,0.00001524442,0.00020019936,0.000030787527,0.000253026,0.0000062684708],"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":[0.000009865918,0.0000734554,0.14702637,0.0011347409,0.000057295092,0.00004637545,0.0007144593,0.29160303,0.55485797,0.00023364894,0.00003194394,0.004210815],"study_design_scores_gemma":[0.0007517622,0.000015609292,0.50032,0.00030261825,0.000014558728,0.00000852967,0.000014869648,0.47690773,0.021223728,0.000088135515,0.000043551652,0.00030891589],"about_ca_topic_score_codex":0.00002985209,"about_ca_topic_score_gemma":0.000060465834,"teacher_disagreement_score":0.53363425,"about_ca_system_score_codex":0.00011744525,"about_ca_system_score_gemma":0.000012442,"threshold_uncertainty_score":0.8168596},"labels":[],"label_agreement":null},{"id":"W2746274752","doi":"10.1016/j.proeng.2017.08.017","title":"Method to Enable LCA Analysis through Each Level of Development of a BIM Model","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure","funders":"Hydro-Québec","keywords":"Building information modeling; Life-cycle assessment; Information model; Engineering; Computer science; Data model (GIS); Systems engineering; Database; Production (economics); Operations management; Artificial intelligence","score_opus":0.06305483547226176,"score_gpt":0.28742425542208255,"score_spread":0.2243694199498208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746274752","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":[0.04827097,0.0000709454,0.9501671,0.000011158357,0.00009070639,0.0000834126,0.000012280688,0.00007983897,0.0012135566],"genre_scores_gemma":[0.5594303,0.000003922486,0.44046748,0.000001809064,0.000016945476,0.00002601133,0.0000023713314,0.000011845853,0.00003929985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992698,0.0000022014538,0.00030135896,0.00012840725,0.0001433818,0.00015486457],"domain_scores_gemma":[0.9995481,0.000014700824,0.000060303762,0.000234043,0.00009607875,0.000046777237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013830498,0.00012548038,0.00025568824,0.00020108242,0.000049399623,0.00002060112,0.00018777618,0.00006396393,0.000012808578],"category_scores_gemma":[0.000041395408,0.00012866313,0.000071140224,0.00024512468,0.000008766792,0.00019021638,0.00003466106,0.000081448045,0.0000027447638],"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":[0.0000030715,0.000007501573,0.00031464346,0.00020576587,0.0002642501,1.4607751e-7,0.0014502082,0.92664593,0.0548163,0.0032004158,0.000026391283,0.013065351],"study_design_scores_gemma":[0.0000827001,0.0000045917186,0.00094291614,0.00003252305,0.00006896814,8.835228e-7,0.000045891065,0.6919188,0.3061602,0.00014468025,0.00047448472,0.00012336922],"about_ca_topic_score_codex":0.000020784299,"about_ca_topic_score_gemma":0.000019718298,"teacher_disagreement_score":0.51115936,"about_ca_system_score_codex":0.00004179362,"about_ca_system_score_gemma":0.00004274869,"threshold_uncertainty_score":0.52467304},"labels":[],"label_agreement":null},{"id":"W2754557803","doi":"10.1016/j.proeng.2017.09.482","title":"Estimation of track modulus over long distances using artificial neural networks","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial neural network; Track (disk drive); Estimation; Computer science; Artificial intelligence; Engineering","score_opus":0.010862797280501338,"score_gpt":0.22361331709791596,"score_spread":0.2127505198174146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754557803","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":[0.51923877,0.00028878334,0.47914836,0.0000031634577,0.0009022666,0.000075829215,0.0000070511987,0.0002635224,0.000072264666],"genre_scores_gemma":[0.99416643,0.000024652016,0.0054211956,0.0000013172079,0.00028933957,0.000010928531,0.000009573626,0.000070189184,0.000006357373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903035,0.000002344807,0.000302562,0.00016746743,0.0001616827,0.0003356177],"domain_scores_gemma":[0.99945515,0.000026654341,0.00007163531,0.00033309413,0.000027893399,0.000085589585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009694048,0.00022580294,0.000247191,0.000093575596,0.00009460738,0.00011120144,0.00023991997,0.00010735042,0.0000047221633],"category_scores_gemma":[0.00009779288,0.0002533327,0.00007273812,0.0000943336,0.000031091822,0.00043734917,0.000031074513,0.00020941657,0.0000011936964],"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":[0.0000041871804,0.0000073191745,0.0005480211,0.0002401048,0.00002345662,0.0000046634373,0.00006342307,0.98405355,0.0014131541,0.00042352822,0.0000048896163,0.013213696],"study_design_scores_gemma":[0.00011839934,0.000010445302,0.008366712,0.000085053725,0.000022827555,0.0000078565645,0.0000051286033,0.9893106,0.0017578991,0.00005046365,0.000008911066,0.00025569517],"about_ca_topic_score_codex":0.00000959418,"about_ca_topic_score_gemma":0.00000672417,"teacher_disagreement_score":0.4749277,"about_ca_system_score_codex":0.00006359258,"about_ca_system_score_gemma":0.00000820115,"threshold_uncertainty_score":0.9999919},"labels":[],"label_agreement":null},{"id":"W2754736629","doi":"10.1016/j.proeng.2017.09.163","title":"Using ambient vibration measurements to generate experimental floor response spectra and inter-story drift curves of Reinforced Concrete (RC) buildings","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"National Science Council; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Damages; Engineering; Vibration; Simple (philosophy); Code (set theory); Ambient vibration; Seismic analysis; Structural engineering; Civil engineering; Computer science; Acoustics","score_opus":0.046411711505222705,"score_gpt":0.3033300919156881,"score_spread":0.2569183804104654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754736629","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":[0.9874691,0.00075211324,0.010221933,0.00004009114,0.00070218573,0.00041071398,0.0000056656736,0.00038068852,0.000017558454],"genre_scores_gemma":[0.95515305,0.000051106712,0.044498872,0.000020982068,0.00015941322,0.000051273586,0.0000017082854,0.00005590493,0.000007677041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897057,0.000013785243,0.00029534675,0.00021262419,0.00021408276,0.00029357625],"domain_scores_gemma":[0.99937284,0.000024258985,0.000084213134,0.00029794258,0.000067622364,0.00015311126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034897862,0.00022572707,0.00024463068,0.00016275629,0.00012220856,0.000059260783,0.00021482701,0.000074797426,0.0000044811595],"category_scores_gemma":[0.0002810357,0.00025531364,0.000033952325,0.00006764281,0.000027239947,0.0003603652,0.00009240614,0.00016551609,0.0000011955082],"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":[0.000060997692,5.404561e-7,0.00015916394,0.00046981635,0.00001837161,0.0000017757104,0.0005586575,0.004536928,0.9938091,0.000018522958,0.000058014753,0.0003081292],"study_design_scores_gemma":[0.00021190787,0.00008292473,0.0039749816,0.00072171073,0.000010692876,0.000009993379,0.000022760009,0.0735602,0.9210603,0.0000013614194,0.0001052058,0.00023795378],"about_ca_topic_score_codex":0.000032794316,"about_ca_topic_score_gemma":4.7891643e-7,"teacher_disagreement_score":0.07274877,"about_ca_system_score_codex":0.00023119757,"about_ca_system_score_gemma":0.000024687019,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W2755480135","doi":"10.1016/j.proeng.2017.07.153","title":"A Probabilistic Cellular Automata Framework for Assessing the Impact of WUI Fires on Communities","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":6,"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":"Cellular automaton; Key (lock); Computer science; Environmental science; Wildland–urban interface; Interface (matter); Environmental resource management; Computer security; Artificial intelligence","score_opus":0.01711856877020466,"score_gpt":0.2799610104215935,"score_spread":0.2628424416513888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755480135","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":[0.9919003,0.000034816203,0.0067792116,0.00006173371,0.00018838997,0.0005422223,0.000011388201,0.000079794685,0.00040212745],"genre_scores_gemma":[0.9968245,0.0000022421304,0.00292109,0.0000053262606,0.000075007054,0.00012937814,0.0000025792785,0.000029122595,0.000010779229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993054,0.000016708214,0.00015510639,0.00011825563,0.0001645473,0.00023995836],"domain_scores_gemma":[0.9984905,0.0006636724,0.00014085241,0.0006517911,0.000009331282,0.00004384582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036936757,0.00014648102,0.00016945336,0.000020855849,0.00027958836,0.00014978622,0.00060403283,0.00006146347,0.000031012216],"category_scores_gemma":[0.0010510354,0.000100041645,0.00008492362,0.00004604463,0.00008685276,0.00022976413,0.00014746083,0.00016578578,0.000014818885],"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":[0.00008096109,0.00053387735,0.18723792,0.0033471568,0.0002923705,0.000011705791,0.012652007,0.71625155,0.048164863,0.0047129886,0.0014848385,0.025229748],"study_design_scores_gemma":[0.0001665146,0.00013205595,0.12539944,0.00042616503,0.000015040115,0.0000032324103,0.00006921777,0.86975783,0.0030031332,0.0007492979,0.00010143209,0.0001766238],"about_ca_topic_score_codex":0.0005972283,"about_ca_topic_score_gemma":0.000014475644,"teacher_disagreement_score":0.15350628,"about_ca_system_score_codex":0.00012665434,"about_ca_system_score_gemma":0.000012858467,"threshold_uncertainty_score":0.40795797},"labels":[],"label_agreement":null},{"id":"W2755979831","doi":"10.1016/j.proeng.2017.09.135","title":"Structural damping estimation using a simple equation based on the equivalent viscous damping concept","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Seismic and Structural Analysis of Tall Buildings","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Damping torque; Displacement (psychology); Modal; Nonlinear system; Slip (aerodynamics); Amplitude; Viscous damping; Mathematical analysis; Damping ratio; Structural engineering; Mathematics; Physics; Engineering; Vibration; Acoustics; Materials science","score_opus":0.03405355352076751,"score_gpt":0.25580364174644915,"score_spread":0.22175008822568165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755979831","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":[0.77682775,0.00006998439,0.22203052,0.00014325717,0.00034006793,0.00018950431,0.000005622317,0.0002739411,0.00011932858],"genre_scores_gemma":[0.9943642,0.0000030728306,0.005223159,0.000070882255,0.0002474395,0.00001862738,0.000020183827,0.00004800008,0.000004403487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988065,0.000007831649,0.0002778123,0.00023635293,0.00030255955,0.00036897522],"domain_scores_gemma":[0.9992161,0.00011904779,0.00011410549,0.00042621608,0.000048566773,0.00007601106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001619597,0.000272534,0.00022207924,0.000110053305,0.00048611988,0.00033299276,0.00041417536,0.000076496864,0.000036610247],"category_scores_gemma":[0.00040804248,0.00021823843,0.00010506322,0.00009848468,0.000037754824,0.00043739332,0.000056740315,0.00024197233,0.000005645725],"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":[0.0000031560937,0.0000012242656,0.00014583848,0.00006572795,0.000030978576,0.0000018132921,0.00016210726,0.9884448,0.008880646,0.0004714609,0.000021747152,0.0017704723],"study_design_scores_gemma":[0.00019304812,0.0000121602025,0.0011978904,0.00012007979,0.000040055762,0.000004839787,0.000040302573,0.98941225,0.008394928,0.00026499975,0.00004126815,0.00027819196],"about_ca_topic_score_codex":0.0000323948,"about_ca_topic_score_gemma":0.0000012301921,"teacher_disagreement_score":0.21753646,"about_ca_system_score_codex":0.0001749208,"about_ca_system_score_gemma":0.000018865396,"threshold_uncertainty_score":0.8899505},"labels":[],"label_agreement":null},{"id":"W2760492384","doi":"10.1016/j.proeng.2017.09.781","title":"A simple formula for quad mesh singularities","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":5,"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":"Queen's University; Queen's University Belfast; Center of Excellence in Applied Computational Science and Engineering","keywords":"Quadrilateral; Gravitational singularity; Singularity; Euler's formula; Mathematics; Face (sociological concept); Simple (philosophy); Euler characteristic; Mesh generation; Surface (topology); Geometry; Mathematical analysis; Topology (electrical circuits); Combinatorics; Engineering; Structural engineering; Finite element method","score_opus":0.01754853450948002,"score_gpt":0.25738426942907766,"score_spread":0.23983573491959764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760492384","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":[0.014441756,0.00009198078,0.9843724,0.00025413383,0.00038371395,0.00014268918,0.0000026150963,0.0001346587,0.00017610315],"genre_scores_gemma":[0.87002134,0.0000033374258,0.12949222,0.00004105702,0.00025885657,0.000056708544,0.000006602546,0.000007313284,0.000112537506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994625,0.0000015264627,0.00010026121,0.00016274258,0.00010449811,0.00016849014],"domain_scores_gemma":[0.9995296,0.000057175595,0.000045288907,0.0002396066,0.00008209873,0.000046252346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012904036,0.000078776335,0.00007926605,0.00006402897,0.0002489294,0.0003372828,0.00038737414,0.000029133183,0.0000014779046],"category_scores_gemma":[0.00023386553,0.000083932755,0.000041597934,0.000049294224,0.000006336464,0.000595824,0.000092510134,0.000040384868,0.0000036320782],"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":[0.000011396841,0.00005822706,0.00070381,0.00047076232,0.00005685022,0.0000061182113,0.0014028995,0.070962675,0.0137727065,0.7993568,0.0022872784,0.11091045],"study_design_scores_gemma":[0.0002209606,0.00002923823,0.001622143,0.000012946691,0.0000034069792,0.000005905411,0.0000043346604,0.9653536,0.009819203,0.007995506,0.014789593,0.00014315602],"about_ca_topic_score_codex":0.000004165116,"about_ca_topic_score_gemma":0.0000027799947,"teacher_disagreement_score":0.89439094,"about_ca_system_score_codex":0.000017905175,"about_ca_system_score_gemma":0.00003541734,"threshold_uncertainty_score":0.34226784},"labels":[],"label_agreement":null},{"id":"W2765442246","doi":"10.1016/j.proeng.2017.10.055","title":"Target-oriented Benchmarking of Regional Building Energy Consumption Based on the Lorenz Curve","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Benchmarking; Lorenz curve; Energy consumption; Grid; Computer science; Energy (signal processing); Mathematical optimization; Environmental economics; Econometrics; Engineering; Statistics; Mathematics; Gini coefficient; Economics; Inequality","score_opus":0.012877934230805717,"score_gpt":0.20171518583535328,"score_spread":0.18883725160454756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765442246","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":[0.13994142,0.00028390842,0.85721105,0.00012306051,0.0010161101,0.0001152879,0.000006600561,0.00039413245,0.0009084041],"genre_scores_gemma":[0.9882177,0.000054059954,0.011409979,0.000031100368,0.00018052744,0.00004363727,0.000016265172,0.00003817266,0.0000085570955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992646,0.000006296839,0.00018582158,0.00014871231,0.00018738807,0.00020716267],"domain_scores_gemma":[0.999405,0.00010075896,0.00007989123,0.00032574608,0.00004421647,0.00004436778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014838022,0.00016356376,0.00013713063,0.00010719944,0.00016201034,0.00004307093,0.00024308119,0.000081674356,0.000036936708],"category_scores_gemma":[0.00008674832,0.00014377235,0.000057938072,0.000080798905,0.000033022287,0.0001503996,0.000028675931,0.0001449458,6.8702235e-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":[0.0000072568946,0.000008841239,0.0010332265,0.00006970448,0.000021180856,9.1701264e-7,0.000027514907,0.979322,0.002137466,0.016476,0.00014770977,0.00074815867],"study_design_scores_gemma":[0.0001637911,0.000015386579,0.0012333323,0.00017452415,0.000009035699,0.0000016669504,0.000002404862,0.97704726,0.019394947,0.000081526356,0.0017192183,0.00015691666],"about_ca_topic_score_codex":0.000008646596,"about_ca_topic_score_gemma":0.0000016660408,"teacher_disagreement_score":0.84827626,"about_ca_system_score_codex":0.000045309363,"about_ca_system_score_gemma":0.000014210646,"threshold_uncertainty_score":0.58628666},"labels":[],"label_agreement":null},{"id":"W2766702800","doi":"10.1016/j.proeng.2017.10.094","title":"Performance Research on Heat Pump Using Blends of R744 with Eco-friendly Working Fluid","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Coefficient of performance; Heat pump; Refrigerant; Transcritical cycle; Working fluid; Superheating; Gas compressor; Thermodynamics; Work (physics); Materials science; Global-warming potential; Freon; Environmentally friendly; Refrigeration; Process engineering; Nuclear engineering; Environmental science; Heat exchanger; Engineering","score_opus":0.047581338856689775,"score_gpt":0.28419282922845973,"score_spread":0.23661149037176996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766702800","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":[0.99086463,0.00009359324,0.0037758586,0.000047982856,0.00023617875,0.00013575883,0.0000022835522,0.0005759306,0.0042677647],"genre_scores_gemma":[0.99475193,0.000085330794,0.004930794,0.0000020920918,0.00011113147,0.000035522116,0.0000026824455,0.000047666505,0.00003287232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989992,0.000004072609,0.00018089675,0.00018199049,0.00027407403,0.00035981205],"domain_scores_gemma":[0.99935263,0.000043473497,0.000028435481,0.000446413,0.000079953286,0.00004908331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021793917,0.00016199052,0.00017395464,0.00031195593,0.00028109812,0.00012101928,0.00034509526,0.00009196369,0.000011494894],"category_scores_gemma":[0.00009841759,0.00014933271,0.00002742169,0.00019427322,0.000071080736,0.0002975112,0.000060725702,0.00035214843,0.000009959861],"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":[0.000014583181,0.0000116604615,0.002648217,0.00034661128,0.000039724157,0.000007950468,0.00019120483,0.94077235,0.050199065,0.0015276704,0.00006574728,0.00417519],"study_design_scores_gemma":[0.00021781931,0.00011136586,0.0020649899,0.0005885774,0.000006218736,0.000011875916,0.00006501868,0.7648839,0.23091885,0.000020542442,0.0008966217,0.0002142487],"about_ca_topic_score_codex":0.000004005548,"about_ca_topic_score_gemma":0.0000021280102,"teacher_disagreement_score":0.1807198,"about_ca_system_score_codex":0.00008620961,"about_ca_system_score_gemma":0.00003210949,"threshold_uncertainty_score":0.6089611},"labels":[],"label_agreement":null},{"id":"W2767078815","doi":"10.1016/j.proeng.2017.09.689","title":"Current state of transformer FRA interpretation","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Transformer; Electromagnetic coil; Engineering; Electrical engineering; Computer science; Reliability engineering; Voltage","score_opus":0.007107297233371124,"score_gpt":0.2211841741974606,"score_spread":0.21407687696408947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767078815","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":[0.5118919,0.0012423923,0.4837648,0.000018861787,0.0011808127,0.00020106889,0.000027359993,0.00019610852,0.0014767231],"genre_scores_gemma":[0.998658,0.0006449726,0.0005906539,0.000001483961,0.000045191762,0.000022022241,0.000008114453,0.00002726025,0.000002273173],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945414,9.1781266e-7,0.00019807498,0.000082051134,0.00010338047,0.00016140538],"domain_scores_gemma":[0.99971825,0.000019810783,0.000028872588,0.00014703932,0.000037378064,0.000048655213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057083085,0.00011204744,0.00012137342,0.0000771372,0.000034971577,0.000036506994,0.00013681696,0.000022370763,0.0000060971115],"category_scores_gemma":[0.000047624,0.00011865152,0.00004367441,0.000036955586,0.0000129783175,0.0003384499,0.000004558156,0.000109971836,0.000007833862],"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":[0.000014604735,0.000036571313,0.0028463725,0.0015868938,0.00008323575,0.0000013546052,0.002252321,0.3573904,0.037611853,0.00054335524,0.000076817785,0.59755623],"study_design_scores_gemma":[0.00029507364,0.000024454292,0.072935775,0.0002589675,0.000021222319,0.0000011639474,0.0000028840368,0.85639757,0.06691205,0.00027586517,0.0026464092,0.00022855013],"about_ca_topic_score_codex":0.0000024092317,"about_ca_topic_score_gemma":0.000002851369,"teacher_disagreement_score":0.59732765,"about_ca_system_score_codex":0.000022122693,"about_ca_system_score_gemma":0.000009207786,"threshold_uncertainty_score":0.48384687},"labels":[],"label_agreement":null},{"id":"W2772054440","doi":"10.1016/j.proeng.2017.11.124","title":"Transforming The Relationships Between Geoscientists and Urban Decision-Makers: European Cost Sub-Urban Action (TU1206)","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":19,"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":"Action plan; Environmental planning; Action (physics); Toolbox; Urban planning; Quarter (Canadian coin); Business; Geography; Engineering; Civil engineering","score_opus":0.018446456171203232,"score_gpt":0.22920557987784207,"score_spread":0.21075912370663885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772054440","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":[0.8618383,0.00032815014,0.13426708,0.00008620293,0.00057985977,0.00041919,0.000010181469,0.0003447607,0.002126301],"genre_scores_gemma":[0.9985821,0.000054541728,0.0008369966,0.0000053951085,0.00040733488,0.00002179784,0.000008303194,0.00005067307,0.00003285195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897367,0.00001844399,0.0002495259,0.00023297465,0.00018200491,0.00034336612],"domain_scores_gemma":[0.9991597,0.00020363907,0.0000436537,0.00040984974,0.000048961458,0.00013420194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005509112,0.00020874574,0.00016105977,0.00009030914,0.00070139725,0.00037548435,0.00028872973,0.00008499421,0.0000062007543],"category_scores_gemma":[0.00050107646,0.00017676628,0.0000532675,0.000110038105,0.00006871803,0.0007430902,0.00005185535,0.00047731644,0.000007937396],"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":[0.000045732097,0.00004186027,0.569076,0.0018651468,0.00035991528,0.000044878205,0.014167381,0.04370535,0.013576897,0.0048062447,0.006183842,0.34612674],"study_design_scores_gemma":[0.0005918393,0.000027563767,0.91319305,0.0001385414,0.000081199134,0.000034387744,0.00044221687,0.033891793,0.0023607565,0.0013547974,0.04728759,0.0005962446],"about_ca_topic_score_codex":0.000006131626,"about_ca_topic_score_gemma":0.000014394052,"teacher_disagreement_score":0.34553048,"about_ca_system_score_codex":0.00011917037,"about_ca_system_score_gemma":0.000017279091,"threshold_uncertainty_score":0.72083193},"labels":[],"label_agreement":null},{"id":"W2773933646","doi":"10.1016/j.proeng.2017.11.084","title":"Behaviour of undercut anchors subjected to high strain rate loading","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":15,"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":"Structural engineering; Undercut; Window (computing); Embedment; Finite element method; Ultimate tensile strength; Engineering; Materials science; Composite material; Computer science","score_opus":0.008277344610363006,"score_gpt":0.22174500642664724,"score_spread":0.21346766181628424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773933646","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":[0.9899791,0.000063467814,0.00823153,0.0000426867,0.00069549837,0.0002273108,0.000042832013,0.0004696849,0.00024790823],"genre_scores_gemma":[0.9952613,0.000013289726,0.0044165677,0.000007430112,0.00010539464,0.000029517601,0.0000076204547,0.000083861254,0.00007501727],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988897,0.0000063634934,0.0002792454,0.00022177193,0.00017326223,0.0004296606],"domain_scores_gemma":[0.9991735,0.00007492048,0.000054321008,0.00045946342,0.000059162936,0.00017861961],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015655685,0.0002578597,0.00028605564,0.00021199144,0.00007233987,0.000082006954,0.00044926134,0.000107582586,0.00003999732],"category_scores_gemma":[0.00054274756,0.00027965097,0.00005948515,0.00015379266,0.00002265483,0.00024350516,0.00007698732,0.00021927006,0.000021663183],"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":[0.00002405065,0.000005829417,0.0026450392,0.00030005508,0.00006683716,0.000024177527,0.0004575171,0.12689613,0.8656493,0.00073227246,0.00006782813,0.0031309857],"study_design_scores_gemma":[0.0008348327,0.00008058671,0.5541958,0.00033172197,0.00006302976,0.000035216835,0.00005904305,0.13147116,0.31155065,0.00021413487,0.00021206675,0.0009517666],"about_ca_topic_score_codex":0.000041193758,"about_ca_topic_score_gemma":0.000016659473,"teacher_disagreement_score":0.55409867,"about_ca_system_score_codex":0.00014176278,"about_ca_system_score_gemma":0.00002826443,"threshold_uncertainty_score":0.99996555},"labels":[],"label_agreement":null},{"id":"W2790949874","doi":"10.1016/j.proeng.2018.02.005","title":"Modeling and simulation of weld residual stresses and ultrasonic impact treatment of welded joints","year":2018,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Welding; Residual stress; Materials science; Ultimate tensile strength; Finite element method; Computer simulation; Structural engineering; Stress (linguistics); Fatigue limit; Butt joint; Composite material; Metallurgy; Engineering","score_opus":0.014814234310047702,"score_gpt":0.24925802202904468,"score_spread":0.234443787718997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790949874","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":[0.9954992,0.0028822788,0.0012478401,0.0000035818737,0.000058957805,0.00013776391,0.000016141117,0.00009362802,0.000060641596],"genre_scores_gemma":[0.9983442,0.0007160988,0.0008216626,2.4040034e-7,0.00007395342,0.00000665891,0.0000054008574,0.00002621218,0.000005598856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994285,0.0000035107646,0.00018898754,0.00012134309,0.00009081925,0.00016683871],"domain_scores_gemma":[0.99970925,0.00008141338,0.000022900036,0.00008601816,0.000040647366,0.00005978282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002908875,0.0001680828,0.00022361308,0.00009458721,0.00002155093,0.00001115503,0.000030005936,0.00006287509,0.000010819874],"category_scores_gemma":[0.00002843963,0.00013751931,0.000028548891,0.00009357483,0.000026579852,0.00010066334,0.000009961696,0.00003283776,5.9838163e-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":[0.000019086376,0.000021322721,0.0065089567,0.00018707853,0.00010824094,8.216756e-7,0.00081189827,0.9775534,0.012525885,0.000005118496,0.0000014301773,0.002256727],"study_design_scores_gemma":[0.0005059037,0.00024412795,0.005323515,0.00009976518,0.000046682693,0.0000026090727,0.00006599695,0.879552,0.114018075,0.000012737694,0.0000055204473,0.00012306738],"about_ca_topic_score_codex":0.000046879602,"about_ca_topic_score_gemma":0.000013987716,"teacher_disagreement_score":0.10149219,"about_ca_system_score_codex":0.000033721637,"about_ca_system_score_gemma":0.000009304301,"threshold_uncertainty_score":0.5607875},"labels":[],"label_agreement":null},{"id":"W2790994200","doi":"10.1016/j.proeng.2018.02.077","title":"Fatigue behavior of laminated glass fiber reinforced polyamide","year":2018,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":8,"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":"Tarbiat Modares University; University of Waterloo","keywords":"Materials science; Composite material; Polyamide; Lamination; Glass fiber; Epoxy; Stiffness; Glass transition; Polymer; Layer (electronics)","score_opus":0.01278900381544578,"score_gpt":0.22771596215359038,"score_spread":0.2149269583381446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790994200","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":[0.9832756,0.000112613736,0.013403267,0.000008532149,0.00044972752,0.00028721374,0.000010808993,0.0009678097,0.0014844225],"genre_scores_gemma":[0.9916822,0.0000069570688,0.0077862036,0.000005180604,0.00014897237,0.00007576423,0.000011316555,0.00007702796,0.00020640116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889135,0.0000038466796,0.00036275625,0.00016882658,0.00021924372,0.00035399996],"domain_scores_gemma":[0.9994007,0.000054625558,0.00003744221,0.00027119278,0.00010856394,0.00012749217],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000083517756,0.00022288196,0.00025786654,0.0001564331,0.00002341607,0.000019220031,0.0002489307,0.00012878496,0.00026228267],"category_scores_gemma":[0.00008014663,0.00024603418,0.000069375055,0.00032027997,0.00003157427,0.00015717404,0.000051171854,0.00018342021,0.000094125426],"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":[0.000007733758,0.0000135357,0.00028578241,0.00021989299,0.000029099521,0.000007091055,0.00015637495,0.010499404,0.9847612,0.0008378592,0.00016333384,0.0030186896],"study_design_scores_gemma":[0.00025862554,0.00008294793,0.0021340593,0.00009627991,0.000047821115,0.000012292048,0.000006452068,0.12431871,0.8719739,0.000006153499,0.0007556132,0.00030715574],"about_ca_topic_score_codex":0.000005023828,"about_ca_topic_score_gemma":9.69143e-7,"teacher_disagreement_score":0.1138193,"about_ca_system_score_codex":0.00005093753,"about_ca_system_score_gemma":0.00001188685,"threshold_uncertainty_score":0.99999917},"labels":[],"label_agreement":null},{"id":"W2790996119","doi":"10.1016/j.proeng.2018.02.030","title":"Through Process Modelling applied to the fatigue resistance of cast Aluminum","year":2018,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Limit (mathematics); Fatigue limit; Materials science; Computer simulation; Structural engineering; Casting; Mold; Aluminium; Microstructure; Metallurgy; Computer science; Composite material; Engineering; Mathematics; Simulation; Mathematical analysis","score_opus":0.01705080765340947,"score_gpt":0.21323972221945064,"score_spread":0.19618891456604118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790996119","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":[0.33205798,0.001381544,0.6588818,0.00015166287,0.0008502501,0.00088592764,0.00002304169,0.0008506492,0.004917177],"genre_scores_gemma":[0.9783471,0.000017527049,0.020876853,0.00004178899,0.00043196636,0.000121893136,0.0000028682164,0.000100898826,0.000059083457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987497,0.0000032375442,0.00033191938,0.00025323668,0.00024005829,0.00042187667],"domain_scores_gemma":[0.9994217,0.000032282558,0.00003864809,0.00030912424,0.00014107965,0.000057152545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001132811,0.00027341855,0.0002517347,0.00007186814,0.00007504632,0.000034927227,0.00042023876,0.00008521029,0.000013692499],"category_scores_gemma":[0.000042651765,0.00022095401,0.000040003648,0.00045060326,0.00006410867,0.00015790758,0.00005455735,0.00020493778,0.000029380675],"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":[0.000020497337,0.000004630979,0.00001794884,0.0006037019,0.000045269247,8.486043e-7,0.011113917,0.91664547,0.07014951,0.00063050556,0.0005585309,0.00020919628],"study_design_scores_gemma":[0.0002234672,0.000031901214,0.000051433366,0.00022686386,0.000032087355,0.0000108906315,0.00045950315,0.30182946,0.68387973,0.00021801377,0.012486227,0.0005504086],"about_ca_topic_score_codex":0.0000057461066,"about_ca_topic_score_gemma":0.000022825716,"teacher_disagreement_score":0.6462891,"about_ca_system_score_codex":0.00005973474,"about_ca_system_score_gemma":0.000026558972,"threshold_uncertainty_score":0.9010243},"labels":[],"label_agreement":null},{"id":"W2791501905","doi":"10.1016/j.proeng.2017.12.035","title":"Fire Extinguishing Efficiency of Magnesium Hydroxide Powders under Different Particle Size","year":2018,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Flame retardant materials and properties","field":"Materials Science","cited_by":17,"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":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Fire Science; University of Science and Technology of China; National Natural Science Foundation of China","keywords":"Particle size; Magnesium; Materials science; Ammonium hydroxide; Particle (ecology); Chemical engineering; Scanning electron microscope; Hydroxide; Fire retardant; Inorganic chemistry; Composite material; Metallurgy; Chemistry","score_opus":0.008774508910256579,"score_gpt":0.19669504947505126,"score_spread":0.18792054056479468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791501905","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":[0.99745995,0.00034207362,0.0008281137,0.000088387664,0.0007863568,0.00013120857,0.000004522933,0.00018279889,0.00017657438],"genre_scores_gemma":[0.99852544,0.0000106145935,0.0010181508,0.000031976135,0.00029010914,0.000016667664,6.60713e-7,0.00003044791,0.00007595144],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987867,0.00001752784,0.00031677866,0.0002486846,0.00023225915,0.00039804957],"domain_scores_gemma":[0.9994633,0.00009464218,0.00008108859,0.0001966347,0.00008158869,0.000082741106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024674495,0.00017862816,0.00024196718,0.000024355979,0.000075055854,0.00007875319,0.00022611568,0.000053761458,0.00043657908],"category_scores_gemma":[0.00040007033,0.00014165403,0.000046114168,0.00011719348,0.00008460771,0.00016241714,0.00009877211,0.00005837971,0.000067226814],"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":[0.000018606459,0.000024147708,0.00032663543,0.00026532658,0.000003534929,0.0000014807558,0.0007346936,0.001053942,0.99724406,0.00019246431,0.00001414528,0.00012097487],"study_design_scores_gemma":[0.00017926954,0.0001073446,0.0014237167,0.000077425604,0.000015240864,0.0000063593166,0.000085516556,0.018499443,0.9792572,0.000063767075,0.00008995645,0.00019476392],"about_ca_topic_score_codex":0.00003789548,"about_ca_topic_score_gemma":0.0000035536943,"teacher_disagreement_score":0.01798685,"about_ca_system_score_codex":0.000028421122,"about_ca_system_score_gemma":0.00002475667,"threshold_uncertainty_score":0.5776484},"labels":[],"label_agreement":null},{"id":"W2792332590","doi":"10.1016/j.proeng.2017.12.029","title":"Sensitivity and Uncertainty Analysis of a Fire Spread Model with Correlated Inputs","year":2018,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Fire dynamics and safety research","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":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Sensitivity (control systems); Environmental science; Econometrics; Mathematics; Statistics; Engineering; Electronic engineering","score_opus":0.005355447298935879,"score_gpt":0.19852187254696,"score_spread":0.1931664252480241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792332590","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":[0.9297589,0.0000772863,0.06965309,0.000017891656,0.000030259833,0.00008775783,0.000028845567,0.00015464694,0.00019130985],"genre_scores_gemma":[0.9980897,0.00004957491,0.0017722158,0.0000043807286,0.00002133726,0.000007671728,0.000016908418,0.000026697833,0.00001156056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932706,0.0000040549176,0.00013734757,0.0001528019,0.00014840448,0.00023031299],"domain_scores_gemma":[0.99959815,0.00005597647,0.000016106258,0.000143433,0.00010401877,0.000082299426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001335,0.00013597886,0.00024603072,0.00018880948,0.000025144944,0.00001417284,0.000051222953,0.000069159796,0.0000038957974],"category_scores_gemma":[0.000030213516,0.00012444204,0.00003583372,0.0007602417,0.000045199533,0.000072427945,0.000032077798,0.0001461209,0.0000012913825],"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":[0.00001533525,0.0000067836713,0.0029095819,0.00011566996,0.00035199308,0.0000043893497,0.00036710568,0.99015296,0.0049046506,0.00010628113,0.000008039665,0.0010572338],"study_design_scores_gemma":[0.00014087772,0.00003548774,0.00694141,0.000039908846,0.00012314969,0.0000048763864,0.000007108262,0.99187183,0.00067442056,0.00000638774,0.000010539957,0.00014400552],"about_ca_topic_score_codex":0.00003270997,"about_ca_topic_score_gemma":0.000117586045,"teacher_disagreement_score":0.06833074,"about_ca_system_score_codex":0.000035960824,"about_ca_system_score_gemma":0.000018012826,"threshold_uncertainty_score":0.5074599},"labels":[],"label_agreement":null},{"id":"W2833318629","doi":"10.1016/j.proeng.2018.02.084","title":"Influence of ultrasonic excitation on the mechanical characteristics of SLM 304L stainless steel","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":16,"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":"","keywords":"Materials science; Ultrasonic sensor; Nucleation; Microstructure; Anisotropy; Composite material; Casting; Excitation; Metallurgy; Acoustics; Optics","score_opus":0.010103713247878164,"score_gpt":0.2055212983208856,"score_spread":0.1954175850730074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2833318629","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":[0.9970931,0.000033024902,0.0022916337,0.000024249544,0.00016509609,0.00013134745,0.000050835828,0.00007923141,0.00013152046],"genre_scores_gemma":[0.99951637,0.00008661734,0.0002340471,0.0000058841324,0.00008532259,0.000030747004,0.0000045123656,0.000030499037,0.0000060182465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932027,0.000005366488,0.00024875187,0.00010640243,0.00015141841,0.00016781027],"domain_scores_gemma":[0.99929625,0.0001906493,0.00012567072,0.00026935298,0.00008437133,0.00003369348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015664303,0.00014576814,0.00020995626,0.000041846968,0.000058698406,0.000038514198,0.0003018174,0.0000580178,0.000016835933],"category_scores_gemma":[0.00062108407,0.00011576837,0.000032917935,0.000036576097,0.00003493011,0.00014025276,0.000034638964,0.00011954013,0.0000046544833],"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":[0.000050165327,0.000048651666,0.00079785095,0.004619146,0.00013428033,0.0000051481156,0.000984878,0.2803033,0.6882691,0.02190721,0.00004045048,0.0028398556],"study_design_scores_gemma":[0.00016645926,0.00006112992,0.16207094,0.00040885227,0.00002099825,0.0000021448086,0.00003726574,0.01283803,0.8235192,0.00042518895,0.00022862322,0.00022119778],"about_ca_topic_score_codex":0.0000037228174,"about_ca_topic_score_gemma":6.7206855e-7,"teacher_disagreement_score":0.26746526,"about_ca_system_score_codex":0.000019240288,"about_ca_system_score_gemma":0.0000144331225,"threshold_uncertainty_score":0.4720897},"labels":[],"label_agreement":null},{"id":"W4230101047","doi":"10.1016/j.proeng.2016.08.330","title":"Preface","year":2016,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"","field":"","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 Calgary","funders":"","keywords":"Materials science","score_opus":0.0051928867604052915,"score_gpt":0.17694174486947722,"score_spread":0.17174885810907192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230101047","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":[0.9297942,0.00059287844,0.057339005,0.00042878266,0.00068915094,0.00042852032,0.000045150457,0.004141981,0.006540334],"genre_scores_gemma":[0.9959627,0.000005854339,0.003041131,0.000007854794,0.00016677573,0.000043749627,5.2488383e-7,0.00007986775,0.0006915555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933535,0.0000020984894,0.00009475387,0.00015903835,0.00013145263,0.00027730857],"domain_scores_gemma":[0.99966806,0.00004755842,0.000017948398,0.00014686814,0.000031299336,0.00008824328],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008755607,0.000107224616,0.0000791688,0.00007512965,0.000013254976,0.00001136898,0.00011909202,0.0000329405,0.000091141],"category_scores_gemma":[0.00031999263,0.000074125106,0.000025022959,0.00014258537,0.000008631857,0.00019784714,0.00003456177,0.000046044825,0.004340564],"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":[0.0000063071443,0.000011721334,0.0025028582,0.000048513462,0.000015995276,0.0000035890516,0.00012410054,0.0006061443,0.98975956,0.0019560498,0.0012156764,0.003749467],"study_design_scores_gemma":[0.0016045398,0.00006284457,0.019766744,0.0003602603,0.000030609386,0.00006419122,0.000016377864,0.010271678,0.7713725,0.0003046325,0.19511367,0.0010319457],"about_ca_topic_score_codex":7.384531e-7,"about_ca_topic_score_gemma":4.4632546e-7,"teacher_disagreement_score":0.21838707,"about_ca_system_score_codex":0.00007024305,"about_ca_system_score_gemma":0.000015707177,"threshold_uncertainty_score":0.9964347},"labels":[],"label_agreement":null},{"id":"W4240507603","doi":"10.1016/j.proeng.2018.06.002","title":"PREFACE","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"","field":"","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":"Carleton University","funders":"","keywords":"Materials science","score_opus":0.013840474050056312,"score_gpt":0.242746604175519,"score_spread":0.22890613012546268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240507603","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":[0.9659752,0.00038820112,0.004098364,0.00019516498,0.00092580356,0.00036343216,0.00002194781,0.0018011499,0.026230723],"genre_scores_gemma":[0.9955287,0.0000035058376,0.0036788227,0.000005249902,0.000226172,0.00003426668,0.0000012953388,0.000073486444,0.00044847687],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993705,0.0000011788393,0.00008164525,0.00015771911,0.00013064728,0.00025832155],"domain_scores_gemma":[0.99937344,0.000012837523,0.000049625338,0.00044588847,0.000032082426,0.00008615827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010578438,0.00010975792,0.000091642316,0.000047451995,0.00012667401,0.0001315664,0.00036335122,0.000036486203,0.00003084392],"category_scores_gemma":[0.00064871943,0.00011452805,0.000027725831,0.00003056681,0.00001560777,0.0003513449,0.0000948758,0.000111404865,0.0018924243],"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":[0.000040158655,0.00010427936,0.06240122,0.0007515133,0.00015662209,0.00006673951,0.0018235905,0.03228366,0.8735868,0.013168077,0.0065015214,0.00911582],"study_design_scores_gemma":[0.0016962452,0.00006114729,0.30923572,0.0002692234,0.000064933025,0.00007760763,0.000037820893,0.25460273,0.28057933,0.0003357708,0.151516,0.0015234606],"about_ca_topic_score_codex":0.0000063155494,"about_ca_topic_score_gemma":0.0000019763686,"teacher_disagreement_score":0.59300745,"about_ca_system_score_codex":0.000037997415,"about_ca_system_score_gemma":0.000015874653,"threshold_uncertainty_score":0.99888474},"labels":[],"label_agreement":null},{"id":"W563812378","doi":"10.1016/j.proeng.2015.05.038","title":"Thermal Simulation and Energy Consumption Analysis of Two Houses in St. John's, Newfoundland","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Energy consumption; Consumption (sociology); Energy (signal processing); Architectural engineering; Engineering; Art; Mathematics; Statistics; Electrical engineering; Aesthetics","score_opus":0.016885928790235743,"score_gpt":0.23053045070990524,"score_spread":0.2136445219196695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W563812378","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":[0.8763201,0.00058387045,0.122742526,0.0000022825118,0.00008365301,0.000021579533,0.0000026972427,0.00014325832,0.000100018646],"genre_scores_gemma":[0.99825555,0.00006811785,0.0015885464,0.0000038654434,0.00002969106,0.000009095059,0.000021993113,0.00001756728,0.0000055893365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995703,0.000004534184,0.0001525267,0.000087302076,0.00008137528,0.00010397477],"domain_scores_gemma":[0.9998014,0.000040363357,0.000021213038,0.000068168694,0.000025634903,0.0000432512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076183016,0.00008787504,0.0001474253,0.00031707805,0.0000073984093,0.000013271183,0.00003738508,0.00004702264,0.000005009433],"category_scores_gemma":[0.000021307387,0.00009510492,0.00001987041,0.00038300303,0.0000075334,0.00014825394,0.000011570973,0.000047870784,1.2135003e-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":[0.0000044993167,0.000005364521,0.029299801,0.000029188417,0.0000705709,5.7194626e-7,0.00013888456,0.9686528,0.0004056159,0.0004030319,0.0000019374695,0.0009877243],"study_design_scores_gemma":[0.00026579993,0.0000073299857,0.010588622,0.000015878642,0.00006552762,4.221827e-7,0.0000044534795,0.9885867,0.0002566828,0.00001550229,0.00009503977,0.00009802998],"about_ca_topic_score_codex":0.00005911342,"about_ca_topic_score_gemma":0.0001515351,"teacher_disagreement_score":0.12193542,"about_ca_system_score_codex":0.000040858802,"about_ca_system_score_gemma":0.0000072488638,"threshold_uncertainty_score":0.38782662},"labels":[],"label_agreement":null},{"id":"W610218746","doi":"10.1016/j.proeng.2015.05.063","title":"On the Implementation of Two-Diode Model for Photovoltaic-Thermal Systems","year":2015,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Photovoltaic system; Thermal; Maximum power principle; Maximum power point tracking; Energy conversion efficiency; Diode; Voltage; Materials science; Control theory (sociology); Mechanics; Automotive engineering; Computer science; Electrical engineering; Optoelectronics; Thermodynamics; Engineering; Physics","score_opus":0.03033978808009123,"score_gpt":0.275199186241402,"score_spread":0.24485939816131078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W610218746","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":[0.28098044,0.00015484446,0.714262,0.000034507455,0.0003963517,0.0021587033,0.000049595394,0.0006486983,0.0013148546],"genre_scores_gemma":[0.9915059,0.0000026719879,0.006499434,0.00003126332,0.00009232356,0.0017270158,0.000015719466,0.000050772527,0.000074872194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990625,0.000013331755,0.0003171372,0.00015463184,0.00023160796,0.00022078716],"domain_scores_gemma":[0.99930036,0.00011036184,0.00012043248,0.00020690825,0.00019572944,0.00006621592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042635144,0.00014333554,0.00017601272,0.00010799844,0.000027326305,0.000025638263,0.00017426972,0.0000495824,0.0000056871786],"category_scores_gemma":[0.0001465471,0.0001143733,0.000050840415,0.00015872944,0.000009128077,0.00011041257,0.000023728819,0.000059385864,0.0000030981648],"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":[0.000012414963,0.0000092423825,0.000057358433,0.000088920104,0.00002330367,1.4715756e-7,0.0006783201,0.9423346,0.034641344,0.021390937,0.0006484182,0.00011501869],"study_design_scores_gemma":[0.00039996472,0.000033216824,0.0000065176423,0.000032433774,0.000011416571,0.0000017448111,0.0001775537,0.8152537,0.18349633,0.00027370956,0.00020928933,0.00010412853],"about_ca_topic_score_codex":0.000341343,"about_ca_topic_score_gemma":0.00001931041,"teacher_disagreement_score":0.71052545,"about_ca_system_score_codex":0.00011135696,"about_ca_system_score_gemma":0.00006201415,"threshold_uncertainty_score":0.4664008},"labels":[],"label_agreement":null}]}