{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":675,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":675,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"b0cedd2dad31","filters":{"topic":"Evacuation and Crowd Dynamics"}},"results":[{"id":"W2067035389","doi":"10.1073/pnas.1001763107","title":"Inferring individual rules from collective behavior","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":441,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; St. Francis Xavier University","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; Pacific Institute for the Mathematical Sciences","keywords":"Flocking (texture); Bottleneck; Collective behavior; Computer science; Statistical physics; Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03431583024930732,"gpt":0.2892220902968891,"spread":0.2549062600475818,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003775312,0.00005992014,0.00007704156,0.0001047038,0.0001048566,0.00002821155,0.0004668272,0.00007349835,0.00003191893],"category_scores_gemma":[0.000190368,0.00004511515,0.00003532939,0.0003424907,0.0002833304,0.000291646,0.00006026903,0.0002070785,0.000001928329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001965625,"about_ca_system_score_gemma":0.00002176448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004540821,"about_ca_topic_score_gemma":5.567019e-7,"domain_scores_codex":[0.999029,0.000001188461,0.0001724255,0.00009535057,0.0006193736,0.00008266948],"domain_scores_gemma":[0.9996909,0.00006796932,0.00009314238,0.00000423864,0.0001217419,0.00002204397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000003238065,0.00003971969,0.07341941,0.00002219489,0.00002930601,3.351139e-9,0.0009574938,0.0009264023,0.8551722,0.06756935,0.0005860772,0.001274624],"study_design_scores_gemma":[0.0001231073,0.000008972388,0.7749487,0.00002220491,0.00001704596,0.000001766089,0.000153344,0.01291782,0.1681486,0.04348068,0.00009171671,0.00008600451],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891375,0.00001632368,0.000002442836,0.0001598399,0.0000438785,0.00008315024,0.0000494802,0.00002747005,0.01047996],"genre_scores_gemma":[0.9970191,0.000004042711,0.002816957,0.0000457066,0.00005283683,0.00001123464,2.951623e-7,0.000003790625,0.00004608594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7015293,"threshold_uncertainty_score":0.1839742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028415715","doi":"10.1111/j.1467-8659.2004.00782.x","title":"Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":269,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Computer science; Crowd simulation; Structuring; Animation; Virtual actor; Process (computing); Human–computer interaction; Constraint (computer-aided design); Path (computing); Virtual machine; Computer animation; Virtual reality; Artificial intelligence; Computer graphics (images); Distributed computing; Crowds; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01249787554153626,"gpt":0.2220381971874342,"spread":0.2095403216458979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006158202,0.0001085112,0.0001445648,0.0001030345,0.00003202648,0.00001764807,0.00009088294,0.00008149217,0.000004072351],"category_scores_gemma":[0.000001464474,0.0001201192,0.00003978197,0.0001055288,0.00004346631,0.00008415696,0.00002825645,0.00007649021,0.000001116589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003094814,"about_ca_system_score_gemma":0.000009232661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001222045,"about_ca_topic_score_gemma":0.00001619119,"domain_scores_codex":[0.9994054,0.000007471162,0.0002057146,0.0001399326,0.00009508675,0.0001464197],"domain_scores_gemma":[0.9997717,0.00001507272,0.00003370021,0.0001234677,0.000008928244,0.00004713624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006666644,0.0001712744,0.004825794,0.0002664588,0.0001600177,0.000002513586,0.002755903,0.6726109,0.02297942,0.2756871,0.001531624,0.01894234],"study_design_scores_gemma":[0.001891492,0.00009892971,0.02781592,0.00002539435,0.00001151623,0.000003398447,0.0000342847,0.9545655,0.0002851668,0.01479356,0.0002862332,0.0001886156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3684534,0.00002294661,0.6310406,0.00002806207,0.00004917145,0.0002450553,0.00002034725,0.00004485142,0.00009553879],"genre_scores_gemma":[0.9664965,0.00002843521,0.03303742,0.00004397719,0.00003278641,0.00000785727,0.0003140497,0.00002133456,0.00001759099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5980431,"threshold_uncertainty_score":0.4898319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996374865","doi":"10.1007/s11069-004-0785-x","title":"Computer-based Model for Flood Evacuation Emergency Planning","year":2005,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":210,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Flood myth; Emergency evacuation; Flooding (psychology); Flood stage; Population; Emergency management; Flood warning; Natural hazard; Warning system; Computer science; Environmental science; 100-year flood; Geography; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.0166235400768828,"gpt":0.2792036205868687,"spread":0.2625800805099859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000913859,0.0001207782,0.0001001656,0.00006961427,0.00006396196,0.00001860768,0.00009769747,0.00008403898,0.00002953831],"category_scores_gemma":[0.00001257865,0.0001218838,0.00007636287,0.00009213301,0.000005394586,0.0001458283,0.0000076206,0.0001306506,0.00001991364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008615961,"about_ca_system_score_gemma":0.00002421354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.064538e-7,"about_ca_topic_score_gemma":0.00002133601,"domain_scores_codex":[0.9993461,0.000005978419,0.0001910553,0.0001194808,0.0001545817,0.0001827835],"domain_scores_gemma":[0.9997197,0.00001842546,0.00002312917,0.0001111228,0.00008263059,0.00004495228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007775971,0.00001122114,0.00005092874,0.00002625566,0.00001171436,1.559137e-7,0.0001090147,0.9555471,0.0005962134,0.0003845664,0.004675881,0.03857917],"study_design_scores_gemma":[0.0004521877,0.00001508554,0.0004418615,0.00001169382,0.00001276169,6.431683e-7,0.000004541294,0.996905,0.0005113382,0.000170621,0.001314498,0.0001597996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1927693,0.0004408628,0.8048012,0.0002033783,0.0006658789,0.0001816015,0.00002351836,0.0003913643,0.0005229725],"genre_scores_gemma":[0.9585422,0.000006588766,0.04053378,0.0001323707,0.0003223268,0.0000241118,0.0001220509,0.00002634497,0.0002902625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7657729,"threshold_uncertainty_score":0.4970276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077035612","doi":"10.1353/dem.0.0048","title":"Fleeing the storm(s): an examination of evacuation behavior during florida’s 2004 hurricane season","year":2009,"lang":"en","type":"article","venue":"Demography","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":188,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Storm; Population; Geography; Damages; Quarter (Canadian coin); Socioeconomics; Vulnerability (computing); Demography; Environmental health; Meteorology; Political science; Medicine; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.007003229792586292,"gpt":0.2236198462386618,"spread":0.2166166164460755,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000221818,0.0001204647,0.0001089808,0.0002031721,0.00009821776,0.00002957957,0.0001404718,0.00006669643,0.00002295728],"category_scores_gemma":[0.00001242714,0.0001079472,0.00007718791,0.000498016,0.00002449367,0.0002562367,0.000005801356,0.0001220226,0.00000427809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004144474,"about_ca_system_score_gemma":0.000006702507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005260326,"about_ca_topic_score_gemma":0.00004185087,"domain_scores_codex":[0.9992146,0.00004124075,0.0002105553,0.0001242048,0.0002487051,0.0001607206],"domain_scores_gemma":[0.9995572,0.00001821724,0.00005460542,0.0002408722,0.00007467106,0.00005442827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006353429,0.0005308431,0.09012732,0.0002140413,0.0001794623,0.00002274309,0.009172463,0.1538256,0.2204419,0.007853843,0.0004262067,0.517142],"study_design_scores_gemma":[0.000257924,0.00005679415,0.9573673,0.0000165323,0.00004862162,0.000004649848,0.0002530817,0.038051,0.003649802,0.00007093938,0.00008015269,0.0001432175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948001,0.0002397803,0.00330821,0.0000321248,0.0001817576,0.000204161,0.000007146665,0.000215423,0.001011295],"genre_scores_gemma":[0.9993708,0.00003701602,0.0003956683,0.00002221318,0.00007764978,0.00001903234,0.0000410313,0.00001711474,0.00001944581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.86724,"threshold_uncertainty_score":0.4401959,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2552244994","doi":"10.1016/j.sorms.2016.11.001","title":"Optimization models for large scale network evacuation planning and management: A literature review","year":2016,"lang":"en","type":"review","venue":"Surveys in Operations Research and Management Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":174,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"GRASP; Computer science; Emergency management; Emergency evacuation; Network planning and design; Traffic congestion; Operations research; Scale (ratio); Demand management; Traffic flow (computer networking); Transportation planning; Transport engineering; Risk analysis (engineering); Engineering; Computer security; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.07967602028413266,"gpt":0.4101540051230216,"spread":0.3304779848388889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01117763,0.0002302624,0.0004108883,0.0008190076,0.0005629549,0.0005483094,0.0003558664,0.00009353051,0.00001010319],"category_scores_gemma":[0.00006460919,0.0001868225,0.00004064087,0.002289064,0.0001264827,0.0008379794,0.0002708749,0.0002198356,0.000004922026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667614,"about_ca_system_score_gemma":0.00004231549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001136562,"about_ca_topic_score_gemma":0.00005404015,"domain_scores_codex":[0.9975406,0.000386302,0.0004451614,0.0005486025,0.0004991486,0.0005801665],"domain_scores_gemma":[0.9991744,0.0001259185,0.00002904835,0.0003498145,0.0002070643,0.0001137577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001944274,0.00003454278,0.000005631917,0.0642674,0.00005617762,0.000007640906,0.0001280428,0.2684115,8.365628e-8,0.04807633,0.001651114,0.6173596],"study_design_scores_gemma":[0.0002989539,0.00002752921,0.0000208455,0.06659503,0.000044908,0.000003250935,0.00003552611,0.8097803,4.403764e-8,0.0006215773,0.1222738,0.0002982638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.749613e-7,0.6425525,0.3526666,0.00003634978,0.00007668496,0.002235023,0.00004931026,0.00003528735,0.002347938],"genre_scores_gemma":[0.00001717276,0.9839555,0.01324997,0.00002894503,0.00004280968,0.001268645,0.0003132602,0.00002948364,0.001094193],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6170613,"threshold_uncertainty_score":0.7618399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002223818","doi":"10.1016/j.aap.2010.01.004","title":"Pedestrian behavior and safety on a two-stage crossing with a center refuge island and the effect of winter weather on pedestrian compliance rate","year":2010,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Rehabilitation Institute","funders":"National Institute on Disability and Rehabilitation Research; Toronto Rehabilitation Institute","keywords":"Pedestrian; Poison control; Center (category theory); Occupational safety and health; World trade center; Transport engineering; Engineering; Environmental science; Meteorology; Geography; Medical emergency; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.008025091461329629,"gpt":0.2790716732767604,"spread":0.2710465818154308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000575538,0.0001722658,0.000297463,0.0001411142,0.0001320718,0.0001727145,0.00008508252,0.00005390836,0.00009920256],"category_scores_gemma":[0.00002226199,0.0001108235,0.0001331444,0.0002268949,0.00009976264,0.0001295377,0.0000214823,0.0002073253,0.000004099488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002130053,"about_ca_system_score_gemma":0.000005576486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002808015,"about_ca_topic_score_gemma":0.005639547,"domain_scores_codex":[0.9990965,0.0001434783,0.0002689003,0.0002056819,0.000153358,0.0001321458],"domain_scores_gemma":[0.9994172,0.0001169658,0.0001239816,0.000270128,0.00002716533,0.00004456638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001402694,0.00007426428,0.9831369,0.00003638251,0.0008070006,0.000006294597,0.000413603,0.00499749,0.00217096,0.0004910775,0.000009348115,0.006454011],"study_design_scores_gemma":[0.01112438,0.0004653183,0.9135022,0.0002492134,0.002453943,0.000009375347,0.00005880566,0.06972475,0.001667908,0.00006918068,0.0003216813,0.0003532745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959611,0.00003541147,0.003131934,0.00004726239,0.00005042897,0.0003691427,0.000003069574,0.00003200636,0.0003696208],"genre_scores_gemma":[0.9992456,0.00002773823,0.00005694353,0.00001669883,0.00002736304,0.0000291731,0.00003738837,0.00001851319,0.0005405194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06963471,"threshold_uncertainty_score":0.4519252,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2462620863","doi":"10.1007/978-1-4939-2565-0_59","title":"Employing the Hydraulic Model in Assessing Emergency Movement","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Scope (computer science); Sophistication; Set (abstract data type); Computer science; Movement (music); Systems engineering; Engineering; Construction engineering; Data science; Software engineering; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.05624463445467284,"gpt":0.2791863678708537,"spread":0.2229417334161808,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002007307,0.0002318269,0.0001811909,0.000103996,0.00003493114,0.00003886947,0.0001781897,0.0001693496,0.0005086815],"category_scores_gemma":[0.000005654818,0.0001829491,0.00006876673,0.00003047531,0.00001142973,0.0001089031,0.00004833002,0.0003386006,0.0001024967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970202,"about_ca_system_score_gemma":0.00004034493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001121105,"about_ca_topic_score_gemma":0.0002315443,"domain_scores_codex":[0.9990485,0.000004790741,0.0003538425,0.0001530646,0.0002652531,0.0001746031],"domain_scores_gemma":[0.9995657,0.00001091181,0.00004196852,0.0002846399,0.00004493861,0.00005186807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.072065e-7,0.000004622188,0.00001924132,0.00003597624,0.00003302722,0.000002868644,0.0002262795,0.8404799,0.00004074831,0.1453576,0.008060666,0.005738433],"study_design_scores_gemma":[0.00008690608,0.000002851785,0.00001923856,0.00004213029,0.00001383722,4.600746e-7,0.00003675366,0.9260699,0.000003489529,0.06211439,0.01137082,0.0002392471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002297774,0.0006473748,0.04396592,0.0001127556,0.0002869337,0.0001630456,0.00000423867,0.0002025273,0.9543874],"genre_scores_gemma":[0.09487523,0.000791118,0.001472711,0.0004059878,0.0001667319,0.0000317983,0.00005802691,0.0002141236,0.9019843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09464546,"threshold_uncertainty_score":0.7460449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165729504","doi":"10.1609/aimag.v33i4.2432","title":"TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems Using Game Theory","year":2012,"lang":"en","type":"article","venue":"AI Magazine","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Multidisciplinary University Research Initiative; National Science Foundation","keywords":"Stackelberg competition; Revenue; Operations research; Computer science; Scheduling (production processes); Novelty; Transit (satellite); Payment; Computer security; Transport engineering; Engineering; Public transport; Business; Economics; Operations management; Microeconomics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01415599737522137,"gpt":0.2565609762643894,"spread":0.242404978889168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008447829,0.0001346993,0.0003220084,0.0001344773,0.00003374902,0.00003541939,0.00005250288,0.00009495219,0.0000178091],"category_scores_gemma":[0.00007910786,0.0001289069,0.0000954544,0.0001559523,0.0000205723,0.0002717,0.000004912783,0.0001320681,0.00002203993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196411,"about_ca_system_score_gemma":0.00001057294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006311554,"about_ca_topic_score_gemma":0.00001101463,"domain_scores_codex":[0.9991435,0.00007733174,0.0003250159,0.00009739432,0.00009110145,0.0002657008],"domain_scores_gemma":[0.9996086,0.0001406548,0.0000357359,0.0001164663,0.00004225107,0.00005624077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002846775,0.0000559965,0.0005936328,0.0003792878,0.0001065177,0.00000137963,0.001564758,0.9419688,0.01065135,0.03940511,0.00005671617,0.002369691],"study_design_scores_gemma":[0.02453125,0.000007974006,0.0002620856,0.00006744622,0.00005100235,0.00000747,0.0001908297,0.9735272,0.0001427409,0.000461313,0.0005846494,0.0001660217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2973366,0.001538442,0.6982692,0.00004893388,0.0007193419,0.0007116576,0.00001195446,0.0002991935,0.00106467],"genre_scores_gemma":[0.9977285,0.00004874292,0.001700066,0.00006653673,0.0002254838,0.00009167848,0.00002422153,0.00004177708,0.00007294245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7003919,"threshold_uncertainty_score":0.5256673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143316003","doi":"10.1002/fam.1083","title":"Panic or not in fire: Clarifying the misconception","year":2011,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Panic; Psychology; Element (criminal law); Phenomenon; Forensic engineering; Engineering; Psychiatry; Political science; Anxiety; Law; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.04923322177335621,"gpt":0.2320297306081958,"spread":0.1827965088348396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114244,0.00005554851,0.00007346066,0.000008772323,0.00002800811,0.00002780818,0.00004350044,0.00005411168,0.0004949201],"category_scores_gemma":[0.000009486493,0.00003645017,0.000007779769,0.00003231442,0.00001220911,0.00006614368,0.00001213795,0.00003623595,0.00003233286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000893504,"about_ca_system_score_gemma":0.000004286595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006063516,"about_ca_topic_score_gemma":0.0000627363,"domain_scores_codex":[0.9996904,0.00001765043,0.0001182445,0.00005622029,0.00003271512,0.00008477642],"domain_scores_gemma":[0.9998792,0.00001318867,0.00001358966,0.00007517821,0.000004598402,0.00001422531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005457047,0.0001152851,0.002109109,0.0008954978,0.0001211952,0.00006362209,0.03648552,0.0003166255,0.7944433,0.01107525,0.00756993,0.1462589],"study_design_scores_gemma":[0.00382251,0.0003204649,0.448224,0.0005667636,0.000132294,0.00009544584,0.003366353,0.05320062,0.4476115,0.004663483,0.03623194,0.001764617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988583,0.00007297502,0.0001081531,0.00004143666,0.0002600898,0.00008016517,0.000008663844,0.00005569264,0.0005145245],"genre_scores_gemma":[0.9991758,0.0002598347,0.0001286272,0.0001202792,0.00004649529,0.00001511085,0.000007035342,0.000009157773,0.0002375894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4461149,"threshold_uncertainty_score":0.5419028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165702433","doi":"10.1609/aaai.v26i2.18975","title":"TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems","year":2012,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Multidisciplinary University Research Initiative; National Science Foundation","keywords":"Stackelberg competition; Revenue; Computer science; Operations research; Scheduling (production processes); Transit (satellite); Novelty; Taxis; Payment; Computer security; Transport engineering; Business; Public transport; Economics; Engineering; Operations management; Finance; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.05135877959921619,"gpt":0.2783743659688538,"spread":0.2270155863696376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008253697,0.0001668803,0.0003517822,0.0001318078,0.00007505216,0.00007800521,0.000262202,0.0001072509,0.00001794085],"category_scores_gemma":[0.0003168823,0.0001320893,0.0001315601,0.0002884664,0.00009091249,0.0002669365,0.00001547665,0.0002049115,0.00001515597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008351348,"about_ca_system_score_gemma":0.00001868579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002049698,"about_ca_topic_score_gemma":0.00001220568,"domain_scores_codex":[0.9988019,0.00001393333,0.0005662559,0.0001476467,0.0001755604,0.0002946322],"domain_scores_gemma":[0.9993801,0.0001140235,0.0001272833,0.00008849071,0.0002318963,0.00005821839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00219484,0.0001041216,0.0003841649,0.0003180628,0.00004161859,3.72565e-8,0.00338062,0.03280393,0.02897717,0.9228669,0.00002338354,0.00890513],"study_design_scores_gemma":[0.001096761,0.00003151694,0.00007398301,0.0002735893,0.00003160099,0.000001542358,0.00275985,0.9222177,0.06268561,0.01058061,0.00004550299,0.0002017897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8730502,0.0002800775,0.1135185,0.0004768325,0.001532552,0.002125804,0.00001890386,0.0003040058,0.008693195],"genre_scores_gemma":[0.9989948,0.00008065995,0.0005476254,0.00002325508,0.0001124284,0.0001806763,0.000001582471,0.00002203678,0.00003689013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9122863,"threshold_uncertainty_score":0.5386447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171872950","doi":"10.1057/s41599-021-00824-8","title":"High-resolution human mobility data reveal race and wealth disparities in disaster evacuation patterns","year":2021,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Rensselaer Polytechnic Institute; National Science Foundation","keywords":"Disadvantaged; Relocation; Equity (law); Race (biology); Context (archaeology); Demographic economics; Geography; Political science; Economic growth; Sociology; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1337188037837799,"gpt":0.3378993923745806,"spread":0.2041805885908006,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004057839,0.00007094417,0.0001108912,0.00004229159,0.001000444,0.0002010725,0.0003258663,0.0000408702,0.00002070285],"category_scores_gemma":[0.0000185539,0.00007708983,0.00001047235,0.0001063346,0.0004353643,0.0004234072,0.0003471596,0.0001264044,8.09442e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004902547,"about_ca_system_score_gemma":0.00002685658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000766059,"about_ca_topic_score_gemma":0.02969358,"domain_scores_codex":[0.9992856,0.0001193133,0.0001946561,0.000146889,0.0001190119,0.0001344894],"domain_scores_gemma":[0.9994458,0.00009135331,0.00003245053,0.0003786536,0.00003636429,0.00001539301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000003051392,0.0001746181,0.06615326,0.0002506087,0.0000252964,8.702179e-7,0.02668911,0.0006306337,0.0003278107,0.89889,0.001171749,0.005683025],"study_design_scores_gemma":[0.00051793,0.00003644663,0.7932309,0.00008473135,0.00003190981,0.000003658976,0.0312895,0.1534366,0.00001019117,0.01689796,0.004061455,0.0003987177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935984,0.00104562,0.0006784847,0.002003146,0.00006293421,0.0001120152,0.0001353702,0.00005918777,0.002304816],"genre_scores_gemma":[0.9977472,0.001090637,0.0004851697,0.0001524078,0.00003086586,0.00001591638,0.0003349948,0.000005189156,0.0001375656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.881992,"threshold_uncertainty_score":0.988012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2968834107","doi":"10.1155/2019/9267643","title":"Panic, Irrationality, and Herding: Three Ambiguous Terms in Crowd Dynamics Research","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Herding; Irrationality; Positive economics; Ambiguity; Phenomenon; Epistemology; Irrational number; Argument (complex analysis); Focus (optics); Scope (computer science); Empirical evidence; Psychology; Sociology; Computer science; Management science; Economics; Rationality; History; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01736072748921596,"gpt":0.2926937966387373,"spread":0.2753330691495214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004244724,0.00007974402,0.0001544193,0.0001999947,0.00002607683,0.0000265197,0.00007710025,0.00006387134,0.00002179937],"category_scores_gemma":[0.00001441576,0.00007986843,0.00003695733,0.0002214323,0.00002162235,0.000455426,0.000001723957,0.00032238,0.000004183451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297363,"about_ca_system_score_gemma":0.00002580637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007838777,"about_ca_topic_score_gemma":0.001335033,"domain_scores_codex":[0.9990243,0.00001866094,0.0004142836,0.00008431687,0.0003184724,0.0001399477],"domain_scores_gemma":[0.999595,0.00004983541,0.00007591865,0.00007829935,0.0001499177,0.00005100963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001216629,0.00005839752,0.1223936,0.0001923786,0.00003597278,0.00003159207,0.001655177,0.826807,0.01588711,0.009498361,0.0000169224,0.02330188],"study_design_scores_gemma":[0.001066613,0.00009822407,0.9381593,0.00009907669,0.000007826274,0.00001084266,0.0006458462,0.04959054,0.0001880536,0.009897559,0.0001217504,0.0001143034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925631,0.0001528904,0.00635037,0.0001554475,0.0002379855,0.0001251082,0.000007059816,0.0000176862,0.0003902961],"genre_scores_gemma":[0.9977159,0.0001877388,0.001965936,0.00001429632,0.00003138319,0.000002558181,0.00002340118,0.00001773277,0.00004103466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8157657,"threshold_uncertainty_score":0.325694,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386066131","doi":"10.1109/cvpr52729.2023.01322","title":"Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion","year":2023,"lang":"en","type":"article","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vector Institute; University of Toronto; Simon Fraser University","funders":"Nvidia","keywords":"Computer science; Animation; Context (archaeology); Trajectory; Controller (irrigation); Crowds; Controllability; Terrain; Computer animation; TRACE (psycholinguistics); Pedestrian; Diffusion; Simulation; Traverse; Computer graphics (images); Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01309318843664048,"gpt":0.2351820283780282,"spread":0.2220888399413877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001191889,0.00007644385,0.00008904515,0.0000704697,0.00004891569,0.00003481803,0.00003115613,0.00005537914,0.0001298156],"category_scores_gemma":[0.00001963873,0.0000721159,0.00001925818,0.0001785826,0.000008853393,0.00009843449,0.00000782884,0.00004943982,0.0001014052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002446577,"about_ca_system_score_gemma":0.000006206501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001457888,"about_ca_topic_score_gemma":0.00008795322,"domain_scores_codex":[0.9995581,0.00001194054,0.0001306463,0.00008521047,0.00009079889,0.0001233373],"domain_scores_gemma":[0.9997975,0.000038653,0.00001205954,0.00008240512,0.00001872705,0.00005065721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004886474,0.00007415097,0.007263551,0.0004546905,0.0001125068,0.00002116621,0.002589496,0.1198395,0.7233058,0.006142758,0.0748325,0.06531499],"study_design_scores_gemma":[0.0006964163,0.00001478986,0.01445864,0.000005413395,0.000007920334,0.000003007402,0.0001596972,0.9803533,0.0006748429,0.0002275305,0.003291711,0.0001067142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654019,0.0001248673,0.01807814,0.0002906729,0.0001514009,0.0001644409,0.000003837796,0.0009693747,0.01481534],"genre_scores_gemma":[0.9955468,0.0001573994,0.0003755178,0.00003651753,0.00003160459,0.00000952483,0.00001906447,0.00001780944,0.003805732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8605139,"threshold_uncertainty_score":0.2940801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1511510665","doi":"10.1007/978-3-540-32243-6_14","title":"Agent-Based Modelling of Forces in Crowds","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Crowds; Computer science; Crowd simulation; Space (punctuation); Work (physics); Crowd psychology; Human–computer interaction; Data science; Artificial intelligence; Computer security; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02065153311360252,"gpt":0.2280711796715103,"spread":0.2074196465579078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002336763,0.000213291,0.0002537547,0.0005172705,0.0000258281,0.0000437088,0.0004448082,0.0001799648,0.00003961674],"category_scores_gemma":[0.000008667729,0.0002180895,0.00005832181,0.0002132839,0.0001545007,0.0001059019,0.00005158661,0.0003358971,0.000005280989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659143,"about_ca_system_score_gemma":0.00009198255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008437513,"about_ca_topic_score_gemma":0.0001696525,"domain_scores_codex":[0.9988031,0.000004823531,0.0003348805,0.0002964678,0.0003232742,0.0002374028],"domain_scores_gemma":[0.9994451,0.0001083159,0.00005984292,0.0002910237,0.0000516409,0.00004409269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001494948,0.000004344397,0.00002848278,0.00004323413,0.000001995041,0.000003681344,0.0001545366,0.9409305,0.00006245804,0.0008462789,0.000001634922,0.05792129],"study_design_scores_gemma":[0.0001382334,0.00001642125,0.00001821937,0.0002282245,0.000002799537,0.000001289668,9.540669e-8,0.9919919,0.000937485,0.006261154,0.0001957947,0.0002083467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001649089,0.000352766,0.9934842,0.00004264892,0.0003331241,0.0001178285,0.000004359081,0.00005403537,0.003961951],"genre_scores_gemma":[0.8689489,0.00004794532,0.13058,0.0001858614,0.0001117608,0.000002625115,0.0000089796,0.00002983202,0.00008411995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8672998,"threshold_uncertainty_score":0.8893432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946261661","doi":"10.1016/j.physa.2019.121432","title":"Human behavior modeling for simulating evacuation of buildings during emergencies","year":2019,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Process (computing); Computer science; Natural disaster; Human behavior; Mood; Human systems engineering; Fuzzy logic; Risk analysis (engineering); Cover (algebra); Natural (archaeology); Operations research; Artificial intelligence; Engineering; Psychology; Business; Social psychology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01829633115515277,"gpt":0.2863841311252852,"spread":0.2680877999701324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006120958,0.00009991406,0.0001460505,0.00004047156,0.000104892,0.0000166133,0.00006612964,0.00003761542,0.0000237867],"category_scores_gemma":[0.00001711298,0.0001100324,0.00003075207,0.0001020463,0.000004366278,0.0000759004,0.00002187131,0.00006280441,0.000005648089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002053075,"about_ca_system_score_gemma":0.00000636342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000222315,"about_ca_topic_score_gemma":0.000001860159,"domain_scores_codex":[0.9993339,0.00000468564,0.0002577203,0.000159878,0.0001084079,0.0001354764],"domain_scores_gemma":[0.9996068,0.00006469605,0.0000447886,0.0001181322,0.0001155528,0.00005006171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001559649,0.00003088149,0.000007554948,0.0001690191,0.00001161324,1.706967e-8,0.00007214579,0.05749804,0.2023051,0.7388042,0.000003554594,0.001096324],"study_design_scores_gemma":[0.0001961833,0.00002639079,0.00008400834,0.00001260593,0.00004408332,2.291651e-7,0.00007998278,0.9728109,0.002042576,0.02454506,0.00003788089,0.0001201308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3624536,0.00002308846,0.636719,0.000009871665,0.00001828644,0.0005263325,0.0001298589,0.00005340965,0.00006650745],"genre_scores_gemma":[0.9902753,0.00001719986,0.00919183,0.000004853961,0.00003010468,0.0003714207,0.00006327908,0.00002661409,0.00001935042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9153128,"threshold_uncertainty_score":0.4486989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2219809504","doi":"10.1007/0-387-25477-3_9","title":"Nash Equilibria for Large-Population Linear Stochastic Systems of Weakly Coupled Agents","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Nash equilibrium; Property (philosophy); Population; Set (abstract data type); Mathematical economics; Dynamics (music); Mathematics; Scale (ratio); Statistical physics; Mathematical optimization; Applied mathematics; Computer science; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0211339655410914,"gpt":0.2523269741396947,"spread":0.2311930085986033,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001352353,0.0002611202,0.0004017694,0.0001396097,0.00002688102,0.00002066937,0.000108998,0.0003404845,0.0003598462],"category_scores_gemma":[0.00001703134,0.0002743817,0.000145281,0.0000216873,0.000008416827,0.00006980148,0.00002119543,0.0001276147,0.00007286046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115565,"about_ca_system_score_gemma":0.0000191819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021295,"about_ca_topic_score_gemma":0.00007463707,"domain_scores_codex":[0.9988361,0.00000350702,0.0005508201,0.0001784506,0.0002410776,0.0001900367],"domain_scores_gemma":[0.9993722,0.00005795599,0.0001354631,0.0002493065,0.0001197636,0.00006523803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002499671,0.00001876078,0.00001209093,0.000887534,0.0002660127,7.311598e-7,0.0000600107,0.6306108,0.0002872137,0.3647583,0.002644751,0.0004287807],"study_design_scores_gemma":[0.0004193551,0.0000254595,0.00003296655,0.0001647297,0.00007773977,0.000001431029,0.000008205385,0.9879077,0.000002671313,0.0004144514,0.01068416,0.0002611004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002117715,0.0008370607,0.8063864,0.00001911781,0.002009894,0.002078812,0.0006681494,0.0007477991,0.1851351],"genre_scores_gemma":[0.4792828,0.00006220534,0.001698734,0.00003255904,0.0006815675,0.00005046614,0.001893406,0.0002452418,0.516053],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8046876,"threshold_uncertainty_score":0.9999709,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2730081983","doi":"10.1002/fam.2448","title":"Enhancing egress drills: Preparation and assessment of evacuee performance","year":2017,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada","funders":"Albert Einstein College of Medicine, Yeshiva University","keywords":"Majesty; Fire safety; Interpretation (philosophy); Poison control; Aeronautics; Engineering; Engineering ethics; Forensic engineering; Computer science; Political science; Civil engineering; Medicine; Law; Medical emergency","retraction":null,"screen_n_in":null,"score":{"opus":0.01229764817851732,"gpt":0.2929606361363093,"spread":0.280662987957792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001152111,0.00005043862,0.00009737713,0.00001072658,0.00007865838,0.00007215978,0.00003547035,0.00003148307,0.00002943092],"category_scores_gemma":[0.000008456401,0.00004584487,0.000005057319,0.00000520244,0.00001649279,0.0001705154,0.00002248563,0.00001548986,0.000001453351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005905371,"about_ca_system_score_gemma":0.000006304363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009628206,"about_ca_topic_score_gemma":0.00001119836,"domain_scores_codex":[0.9997217,0.000006119565,0.0001170821,0.00005608606,0.00004414986,0.00005484454],"domain_scores_gemma":[0.9997964,0.000007016378,0.00004766775,0.000116336,0.00001554141,0.00001706139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002190703,0.00001561333,0.005444385,0.001173402,0.00004851446,0.000001175531,0.001004592,0.0002850413,0.9684064,0.002085165,0.0002301185,0.02128368],"study_design_scores_gemma":[0.0004793857,0.00009032542,0.3207992,0.000223184,0.00003044323,0.00000602033,0.00004648142,0.06661223,0.6095747,0.0001748219,0.001749153,0.0002140476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977621,0.00007340447,0.0003039107,0.00001508265,0.0002044051,0.00006681387,0.00001145492,0.00002389371,0.001538932],"genre_scores_gemma":[0.998615,0.0005275611,0.000684672,0.000005424737,0.00003546149,0.000007419521,0.000007785826,0.000005860632,0.0001108332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3588317,"threshold_uncertainty_score":0.18695,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118900912","doi":"10.1007/s10694-015-0501-2","title":"Guidance for the Model Developer on Representing Human Behavior in Egress Models","year":2015,"lang":"en","type":"article","venue":"Fire Technology","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Set (abstract data type); Representation (politics); Computer science; Behavioral modeling; Conceptual model; Simple (philosophy); Fire safety; Risk analysis (engineering); Engineering; Simulation; Artificial intelligence; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07842627165970217,"gpt":0.3108296821189708,"spread":0.2324034104592687,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428241,0.0000861555,0.00009584272,0.00009483721,0.00004971378,0.00001076748,0.0002533061,0.0001525532,0.000002013319],"category_scores_gemma":[0.0000594767,0.0000712086,0.00002034726,0.0001762585,0.00003537419,0.00005547548,0.00004634431,0.0001654855,0.000007372674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006934811,"about_ca_system_score_gemma":0.00001578434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006353426,"about_ca_topic_score_gemma":0.00009090295,"domain_scores_codex":[0.9994466,0.000004147847,0.0001650885,0.0001315819,0.0000719417,0.0001806473],"domain_scores_gemma":[0.9995822,0.00002228568,0.00002089292,0.0003082481,0.00004889127,0.0000174709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004333966,0.00002115155,0.001067409,0.000009225448,0.000006654361,0.00000271972,0.0001910378,0.9412585,0.000618123,0.04654171,0.001564157,0.008714936],"study_design_scores_gemma":[0.0002398124,0.00001303611,0.0001780353,0.00001351406,0.000004760941,0.000002085821,0.00008988492,0.9854882,0.0005683406,0.0129424,0.0003701602,0.00008971579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129809,0.0003385142,0.08215912,0.00082248,0.0001296374,0.0004032209,0.000008751244,0.0006889668,0.002468365],"genre_scores_gemma":[0.9953249,0.000008232636,0.00380832,0.00004372431,0.00001375747,0.0003470126,0.000005259689,0.00002452206,0.0004242441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08234399,"threshold_uncertainty_score":0.2903803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2921369079","doi":"10.1007/s10694-019-00821-z","title":"A Provisional Conceptual Model of Human Behavior in Response to Wildland-Urban Interface Fires","year":2019,"lang":"en","type":"article","venue":"Fire Technology","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology","keywords":"Wildland–urban interface; Action (physics); Conceptual model; Warning system; Poison control; Task (project management); Human factors and ergonomics; Preventive action; Environmental resource management; Computer security; Risk analysis (engineering); Engineering; Computer science; Business; Environmental science; Environmental health; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01154244305328336,"gpt":0.2605679971838794,"spread":0.249025554130596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008099581,0.00009102834,0.0001578154,0.0002287903,0.00001122378,0.000003597428,0.0001969958,0.0001735611,0.00006193193],"category_scores_gemma":[0.00003487937,0.00009536496,0.00002228998,0.0002135336,0.00005739229,0.00003915739,0.00006683515,0.000169142,0.00005135911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005964959,"about_ca_system_score_gemma":0.00002163581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006819616,"about_ca_topic_score_gemma":0.00004055462,"domain_scores_codex":[0.9994268,0.00001082869,0.0002005416,0.0001330383,0.00008109013,0.0001476737],"domain_scores_gemma":[0.9996744,0.00002403442,0.00002162771,0.0002319059,0.0000242189,0.00002377732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002619045,0.0001465894,0.0617904,0.00004624587,0.00001815972,0.000008206012,0.002242112,0.1441928,0.7771538,0.007173645,0.002388133,0.004577933],"study_design_scores_gemma":[0.001598692,0.0008300244,0.01900464,0.0001383737,0.00001266089,0.000009219786,0.0009159416,0.9538329,0.02071286,0.0006901683,0.001794077,0.0004604589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984962,0.00005685729,0.0004660356,0.0002172389,0.00005094294,0.0002585084,0.00002244394,0.0002591829,0.0001726293],"genre_scores_gemma":[0.9986541,0.000001596018,0.0006580077,0.00002261512,0.000003739995,0.00004847508,0.000005376408,0.00001769706,0.00058834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.80964,"threshold_uncertainty_score":0.388887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2559888775","doi":"10.1002/atr.1434","title":"Pedestrian crowd tactical‐level decision making during emergency evacuations","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Department of Economic Development, Jobs, Transport and Resources","keywords":"Crowds; Visibility; Pedestrian; Ambiguity; Crowding; Computer science; Set (abstract data type); Choice set; Transport engineering; Operations research; Geography; Computer security; Psychology; Econometrics; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01512297650584691,"gpt":0.2832723049821587,"spread":0.2681493284763117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001318667,0.0001202107,0.000155525,0.0001796466,0.00006868715,0.00001219275,0.0001012078,0.00006231311,0.0002357155],"category_scores_gemma":[0.00009332575,0.00009398712,0.0001158046,0.0002032893,0.00001155501,0.0007793505,0.000001158092,0.0001241661,0.00001357816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033265,"about_ca_system_score_gemma":0.00002799109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.853398e-7,"about_ca_topic_score_gemma":0.00005463769,"domain_scores_codex":[0.9987468,0.00001161988,0.0006894759,0.00008957597,0.0003062696,0.0001563275],"domain_scores_gemma":[0.999307,0.00008332369,0.0001940188,0.0001065618,0.0002271348,0.00008194028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000415273,0.0001083477,0.01346431,0.0001567768,0.0001474529,0.00006767895,0.001578857,0.5598646,0.2371264,0.003236662,0.0001932083,0.1836405],"study_design_scores_gemma":[0.00231174,0.00008590796,0.9798024,0.0004433324,0.0000951441,0.0000319034,0.000293615,0.00119611,0.004385028,0.01028702,0.0007620206,0.0003058154],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6182851,0.0001000557,0.3807727,0.00008966382,0.0005527395,0.0000525293,0.00001508573,0.00003809444,0.00009407763],"genre_scores_gemma":[0.9720937,0.0005656554,0.02712974,0.000006470314,0.0001164286,0.000003269628,0.00000421541,0.00002736191,0.00005315762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.966338,"threshold_uncertainty_score":0.3832684,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164743322","doi":"10.1109/tits.2010.2040276","title":"An Integrated Road Construction and Resource Planning Approach to the Evacuation of Victims From Single Source to Multiple Destinations","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Resource (disambiguation); Salient; Reversing; Computer science; Transport engineering; Reduction (mathematics); Destinations; Operations research; Engineering; Computer network; Artificial intelligence; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.0190838684272994,"gpt":0.2349867986189289,"spread":0.2159029301916295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002403337,0.0002109608,0.0002051729,0.0003044387,0.0001924846,0.00009010324,0.0001598496,0.0001435449,0.00001869439],"category_scores_gemma":[0.00001295868,0.0001916,0.0000572884,0.0005331499,0.00004856043,0.0001844816,2.756799e-7,0.0003141029,0.00001489634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006020802,"about_ca_system_score_gemma":0.00002081895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004495686,"about_ca_topic_score_gemma":0.0009154236,"domain_scores_codex":[0.9985927,0.0000662392,0.0005788723,0.000288788,0.0003062031,0.0001671723],"domain_scores_gemma":[0.9990983,0.0001439746,0.00008242555,0.0003063309,0.0001993471,0.0001696293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004248608,0.00009646972,0.0003010723,0.00002599515,0.00004239994,1.803387e-7,0.007509053,0.927875,0.03643657,0.00009918822,0.00002084949,0.02755076],"study_design_scores_gemma":[0.0003241173,0.0001446703,0.003487005,0.0001132488,0.00009008203,0.000007695979,0.01132868,0.9369949,0.04314508,0.00001029687,0.00402985,0.0003244056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3971227,0.00001196355,0.6014616,0.00002516906,0.0004690884,0.0004708973,0.0001578016,0.0001753892,0.0001053509],"genre_scores_gemma":[0.9892386,0.000003894529,0.01021077,0.00003515372,0.00005315158,0.0001832539,0.0001866322,0.00004413689,0.00004444959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5921159,"threshold_uncertainty_score":0.7813224,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998371909","doi":"10.1017/s0829320100009352","title":"Civil Rights Meet Civil Engineering: Urban Public Space and Traffic Logic","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Law and Society / Revue Canadienne Droit et Société","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Humanities; Public space; Political science; Philosophy; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01090022591109659,"gpt":0.2135316097840151,"spread":0.2026313838729185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001663359,0.0004487782,0.000665555,0.0002025093,0.0004509699,0.0003135839,0.0002855596,0.000590246,0.0002383384],"category_scores_gemma":[0.0001221553,0.0005417778,0.0003786432,0.0003666304,0.0004206839,0.0005452721,0.00002046261,0.0009800182,0.000003270879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795507,"about_ca_system_score_gemma":0.0007813657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01500283,"about_ca_topic_score_gemma":0.893056,"domain_scores_codex":[0.9973323,0.00005631562,0.0007492366,0.0003216456,0.0001496266,0.001390903],"domain_scores_gemma":[0.9953466,0.0002794853,0.000248328,0.0002453183,0.0003247909,0.003555467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003396327,0.00001833232,0.0001691849,0.0003760375,0.0003867601,0.0004672032,0.02134407,0.003913759,0.00004882658,0.9639331,0.008190769,0.0011486],"study_design_scores_gemma":[0.002803296,0.0004222126,0.002414,0.0009224918,0.0005431845,0.003457875,0.01140251,0.05066254,0.00002704333,0.02029899,0.9051996,0.00184624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8962936,0.03905146,0.005890342,0.0172805,0.005220548,0.0004086535,0.0002916154,0.0000804966,0.03548276],"genre_scores_gemma":[0.9925995,0.0009676148,0.001505371,0.001361767,0.0007771141,0.000002257987,0.00001841764,0.00008354389,0.002684454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9436341,"threshold_uncertainty_score":0.9997033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986194584","doi":"10.1016/j.firesaf.2013.01.028","title":"A probabilistic occupant evacuation model for fire emergencies using Monte Carlo methods","year":2013,"lang":"en","type":"article","venue":"Fire Safety Journal","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pathfinder; Monte Carlo method; Probabilistic logic; Simulation; Poison control; Computer science; Mode (computer interface); Engineering; Statistics; Mathematics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04786499684628029,"gpt":0.3232691233594274,"spread":0.2754041265131472,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005214973,0.000183616,0.0002121774,0.00005640934,0.0002795097,0.00009170244,0.0001509323,0.0001045516,0.0001599587],"category_scores_gemma":[0.000189041,0.0001667444,0.0001544673,0.0001340789,0.00002055807,0.0003954803,0.00002087665,0.0002370164,0.00001237107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563496,"about_ca_system_score_gemma":0.00009275281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000182321,"about_ca_topic_score_gemma":0.0000157971,"domain_scores_codex":[0.9987982,0.00005679932,0.0005031154,0.0001322912,0.0001971882,0.0003124417],"domain_scores_gemma":[0.9992269,0.00007636719,0.0001012501,0.0001613232,0.0002951846,0.000138976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001158397,0.00001193159,0.00003830972,0.00005446098,0.0000459143,4.997167e-7,0.0007457783,0.9630353,0.001438531,0.000105479,0.001250912,0.03326133],"study_design_scores_gemma":[0.0003030625,0.00002221521,0.0005609576,0.00004554636,0.00005349568,0.0000419352,0.000164413,0.9950001,0.00003884833,0.003198796,0.0003667117,0.0002039074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1799205,0.000513814,0.8181994,0.0001913498,0.0004896811,0.0004021507,0.00002977195,0.0001068233,0.0001465194],"genre_scores_gemma":[0.7742656,0.0002239762,0.2246588,0.00006605805,0.0002376505,0.0000530039,0.00001196572,0.0000608155,0.0004221018],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5943452,"threshold_uncertainty_score":0.6799639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910190117","doi":"10.1061/jtepbs.0000221","title":"Traffic Modeling for Wildland–Urban Interface Fire Evacuation","year":2019,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"Lunds Universitet; National Institute of Standards and Technology; Fire Protection Research Foundation","keywords":"Context (archaeology); Computer science; Pedestrian; Decision support system; Wildland–urban interface; Benchmark (surveying); Transport engineering; Engineering; Environmental science; Environmental resource management; Geography; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.01037301537020173,"gpt":0.215070924384776,"spread":0.2046979090145743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002965958,0.0001516373,0.0002773958,0.0001336898,0.00001975065,0.00004307229,0.0001057733,0.00009078028,0.000009823676],"category_scores_gemma":[0.0000107949,0.0001512586,0.000137019,0.0001252248,0.000002678447,0.000295692,6.064948e-7,0.0001499307,0.000007878912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008446208,"about_ca_system_score_gemma":0.00002366316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001097581,"about_ca_topic_score_gemma":0.000002697222,"domain_scores_codex":[0.9988145,0.000007902458,0.0006988975,0.00008870433,0.0002286515,0.0001613858],"domain_scores_gemma":[0.9994778,0.00004638772,0.0001255449,0.0001007098,0.0001735976,0.00007592714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001789367,0.000009767641,0.0001882884,0.0003838969,0.00007180886,9.555386e-7,0.0006167708,0.9964042,0.001693719,0.0001100151,0.0003488449,0.0001538433],"study_design_scores_gemma":[0.0006836805,0.00006780009,0.0001321779,0.0002985894,0.00004637879,0.000009415024,0.000181601,0.9935662,0.00009821416,0.000001829274,0.004755255,0.0001589168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6443422,0.0006408314,0.3529416,0.00001557454,0.001717083,0.0002217349,0.00002031349,0.00008815069,0.00001256398],"genre_scores_gemma":[0.9986697,0.00005371656,0.0008449179,0.000004249066,0.0002351041,0.00001657785,0.00004211912,0.00004758927,0.00008602519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3543275,"threshold_uncertainty_score":0.6168147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3015375269","doi":"10.1016/j.ssci.2020.104767","title":"The future of evacuation drills: Assessing and enhancing evacuee performance","year":2020,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"Horizon 2020; Arts and Humanities Research Council; Horizon 2020 Framework Programme; National Research Council Canada; Vetenskapsrådet; Svenska Forskningsrådet Formas; European Commission","keywords":"Poison control; Human factors and ergonomics; Engineering; Forensic engineering; Transport engineering; Injury prevention; Occupational safety and health; Suicide prevention; Medical emergency; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.006293768551934538,"gpt":0.2262855857789721,"spread":0.2199918172270376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004546103,0.00005681538,0.00006035533,0.00002192877,0.0002752844,0.0000665487,0.0001617761,0.00002046423,0.000007151511],"category_scores_gemma":[0.00006247347,0.00004229011,0.00001174677,0.0003943217,0.0001383792,0.0003638346,0.00003336414,0.00008128043,0.000006411163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003080779,"about_ca_system_score_gemma":0.00004623138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.242397e-7,"about_ca_topic_score_gemma":0.00000508398,"domain_scores_codex":[0.9993671,0.00000884627,0.000151073,0.0001053008,0.0002371387,0.000130571],"domain_scores_gemma":[0.9996991,0.00004598293,0.00003266515,0.00009776856,0.00006838454,0.00005608343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002064938,0.000007146138,0.005710043,0.0002156627,0.00001302275,5.801433e-7,0.005897807,0.07719042,0.2435683,0.01238948,0.0001262998,0.6548606],"study_design_scores_gemma":[0.00009848137,0.00001783972,0.05657433,0.00002372194,0.000004203478,0.00000167913,0.0008309677,0.9299173,0.009210678,0.00008331043,0.00315327,0.00008420292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622491,0.0008223138,0.02969626,0.002054856,0.0004087961,0.0001106106,0.000002040787,0.0001018878,0.004554123],"genre_scores_gemma":[0.9984727,0.0004351617,0.0009251446,0.00008279679,0.00006915696,0.000001243637,7.199512e-7,0.000004903161,0.000008177877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8527269,"threshold_uncertainty_score":0.2117293,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888776864","doi":"10.1155/2018/1063043","title":"A State-of-the-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement","year":2018,"lang":"en","type":"review","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Pedestrian; Movement (music); Empirical research; Computer science; Hierarchy; Data collection; Weaving; Traffic flow (computer networking); Transport engineering; Data science; Operations research; Engineering; Computer security; Sociology; Mathematics; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.09502140394217329,"gpt":0.3786047745503937,"spread":0.2835833706082204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003783242,0.0002443511,0.000913809,0.00009693636,0.0000474129,0.00001315126,0.0004017241,0.00007938917,0.0000254125],"category_scores_gemma":[0.00006482985,0.0001801169,0.0004252855,0.0003021999,0.00002454579,0.0001982727,0.000004205826,0.0002608177,0.000003418054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169302,"about_ca_system_score_gemma":0.0001861886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.503157e-7,"about_ca_topic_score_gemma":0.00005440291,"domain_scores_codex":[0.9977974,0.00005177383,0.00141683,0.0001649173,0.0004325484,0.0001365039],"domain_scores_gemma":[0.9981338,0.0001276829,0.001098512,0.0003502424,0.0002290489,0.00006069646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001652139,0.0001778093,0.00001760364,0.06163969,0.0004742847,0.000006055938,0.000180676,0.01932292,0.00003669733,0.00005086518,0.02392031,0.8940079],"study_design_scores_gemma":[0.0007340057,0.0002838328,0.000434184,0.0368715,0.001028931,0.000009014475,0.000008896809,0.001260891,0.000009156121,0.0001896242,0.9589543,0.0002156256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008216818,0.9219695,0.07492856,0.00007230076,0.0009971162,0.001259964,0.0006211245,0.000022751,0.00004646872],"genre_scores_gemma":[0.00002397823,0.9929172,0.006162059,0.0001061497,0.0001369861,0.00002616276,0.0004551802,0.00004856219,0.0001236599],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.935034,"threshold_uncertainty_score":0.7344952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3120133354","doi":"10.1016/j.physa.2021.125746","title":"Exit choice during evacuation is influenced by both the size and proportion of the egressing crowd","year":2021,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"National Eye Institute; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Affordance; Doors; Point (geometry); Computer science; Social force model; Crowding; Psychology; Human–computer interaction; Simulation; Social psychology; Internet privacy; Pedestrian; Cognitive psychology; Mathematics; Transport engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006870926754793992,"gpt":0.2453259904759537,"spread":0.2384550637211597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005754999,0.00008893387,0.0001000039,0.00001173826,0.0002101596,0.00005062084,0.00007110422,0.00003389567,0.00001798382],"category_scores_gemma":[0.0001035222,0.00006400071,0.00001836916,0.0002543768,0.00002703453,0.00007087822,0.0000443541,0.0001091102,0.000001801725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001449966,"about_ca_system_score_gemma":0.00001824899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000352345,"about_ca_topic_score_gemma":0.000006307114,"domain_scores_codex":[0.9993741,0.00002106963,0.000189433,0.0001493386,0.000161987,0.0001040815],"domain_scores_gemma":[0.9994366,0.0001886326,0.00006047414,0.0001750587,0.0000963882,0.00004285433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003054879,0.00005993801,0.0000431885,0.0001871865,0.00003727859,1.799292e-7,0.0002972737,0.0002853513,0.4926571,0.5019497,0.0002793019,0.004200456],"study_design_scores_gemma":[0.0004424106,0.00001943541,0.01325834,0.00006823397,0.0001336532,0.000007349665,0.0001907831,0.8348689,0.0774175,0.07078466,0.002541237,0.0002674898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5708243,0.0007508561,0.4246813,0.001928677,0.00005876321,0.0008552243,0.0004903604,0.00009451371,0.0003160115],"genre_scores_gemma":[0.9985049,0.0002607482,0.0009321132,0.0000929958,0.00002381119,0.000111432,0.00001603111,0.00001391531,0.00004407788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8345836,"threshold_uncertainty_score":0.2609873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3136966810","doi":"10.1016/j.buildenv.2021.107785","title":"A comprehensive review of time use surveys in modelling occupant presence and behavior: Data, methods, and applications","year":2021,"lang":"en","type":"review","venue":"Building and Environment","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer science; Data science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1209473827095522,"gpt":0.3735933795321762,"spread":0.252645996822624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007187312,0.0002076502,0.0007889724,0.00006077251,0.00002819569,0.00002582191,0.0001101958,0.00009575101,0.00001007294],"category_scores_gemma":[0.00001420747,0.0002007305,0.00003582981,0.00007790475,0.00005315439,0.00007864699,0.0002309675,0.0001737869,0.000001215333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003210328,"about_ca_system_score_gemma":0.00001147709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002491102,"about_ca_topic_score_gemma":9.719494e-7,"domain_scores_codex":[0.9987104,0.0003019151,0.0004229388,0.0003519872,0.00009537164,0.0001173885],"domain_scores_gemma":[0.999088,0.0003167136,0.00008648899,0.0004403937,0.000006479317,0.00006196056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.58789e-8,0.00001990048,0.00002542698,0.03145841,0.00003466805,0.000001942547,0.00001546094,0.002835169,0.000009725844,0.00002814541,0.00002179543,0.9655493],"study_design_scores_gemma":[0.00009052015,0.000007111252,0.00009741948,0.02620466,0.0006582996,0.00003422152,0.000009627844,0.09869899,0.000001162327,0.00001153407,0.8738403,0.0003461631],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005742228,0.871603,0.1276554,0.00000239241,0.00001078201,0.0004966478,0.0001561223,0.00001283826,0.000005453128],"genre_scores_gemma":[0.000004615873,0.9565369,0.04301376,0.000006281706,0.000008918497,0.0001180261,0.000269279,0.00002482036,0.00001742992],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9652031,"threshold_uncertainty_score":0.8185551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109343421","doi":"10.1007/s10479-012-1298-8","title":"An integrated optimization model for fuel management and fire suppression preparedness planning","year":2013,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Fogarty International Center; Bushfire Cooperative Research Centre","keywords":"Preparedness; Theory of computation; Integer programming; Computer science; Operations research; Emergency management; Engineering; Economics; Algorithm; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.1433380873892168,"gpt":0.4245741071868484,"spread":0.2812360197976316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002817641,0.00006548547,0.00007559145,0.0001431511,0.0001381923,0.0001314587,0.0001067827,0.00005153845,0.00005212901],"category_scores_gemma":[0.00003348587,0.00006062774,0.00001450564,0.0001718471,0.00003336492,0.0004667529,0.00002573805,0.00007952555,0.000002796096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302704,"about_ca_system_score_gemma":0.00002032735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002881273,"about_ca_topic_score_gemma":0.00001297554,"domain_scores_codex":[0.999341,0.00003645275,0.0001660684,0.0001236193,0.0001696288,0.0001632276],"domain_scores_gemma":[0.9991903,0.00002925853,0.000006472597,0.0001692472,0.0005379716,0.0000667243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007711159,0.00003007546,0.00003101193,0.0001016142,0.00001409777,1.399469e-7,0.001157082,0.9924835,0.0004187233,0.0005202894,0.002690851,0.002544889],"study_design_scores_gemma":[0.0001505504,0.00004119349,0.0001797246,0.00004153584,0.000002290363,2.956528e-7,0.0009192149,0.9980751,0.0002496366,0.0001844706,0.00009094534,0.00006501683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3306741,0.0002519856,0.6671296,0.0002468274,0.00002808379,0.0007788872,0.00003715573,0.0000711988,0.0007822046],"genre_scores_gemma":[0.96474,0.00034488,0.03363736,0.00002473875,0.00001074754,0.0002921675,0.0002232168,0.00001766933,0.0007092667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6340659,"threshold_uncertainty_score":0.2472328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976003376","doi":"10.1080/19439962.2010.488316","title":"Transit-Based Emergency Evacuation Simulation Modeling","year":2010,"lang":"en","type":"article","venue":"Journal of Transportation Safety & Security","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Federal Highway Administration; McMaster University; University of Pittsburgh","keywords":"Emergency evacuation; Transit (satellite); Transport engineering; Population; Transit system; Emergency management; Routing (electronic design automation); Work (physics); Computer science; Operations research; Engineering; Geography; Public transport; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.009361797175875215,"gpt":0.2535021030084972,"spread":0.244140305832622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004636313,0.0001422366,0.0001946027,0.0001590166,0.00007163246,0.00001566393,0.0001136157,0.0001369796,0.0003360416],"category_scores_gemma":[0.00002272069,0.0001463792,0.0001913418,0.0002253366,0.00001149035,0.0004770533,4.606172e-7,0.0004512602,0.000005854832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894015,"about_ca_system_score_gemma":0.00005825513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004427665,"about_ca_topic_score_gemma":0.0003407272,"domain_scores_codex":[0.9984404,0.00002366578,0.000907136,0.00009168968,0.0004015803,0.0001355551],"domain_scores_gemma":[0.9991185,0.00003952576,0.0001756349,0.0001180935,0.0004410574,0.0001071521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007113111,0.00003917351,0.0006854392,0.00004804137,0.00002518774,0.000002543665,0.0009428611,0.9908248,0.005391196,0.000528099,0.00001814111,0.001423433],"study_design_scores_gemma":[0.0007181119,0.00002825201,0.008046149,0.00001830248,0.00007251353,0.000001756441,0.0000736478,0.9885184,0.0004554732,0.001260557,0.0006573594,0.0001495485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5194108,0.00004578375,0.4795144,0.0001251242,0.0006200307,0.00007098933,0.00002786091,0.00005281586,0.0001321286],"genre_scores_gemma":[0.9976259,0.00007942924,0.001984764,0.00003013333,0.0001465778,0.000001639184,0.0001022501,0.00002542247,0.000003911079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478215,"threshold_uncertainty_score":0.5969169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2759089887","doi":"10.1109/tits.2017.2747516","title":"Automated Analysis of Pedestrian Group Behavior in Urban Settings","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Schema crosswalk; Computer science; Similarity (geometry); Artificial intelligence; Similarity measure; Measure (data warehouse); Computer vision; Trajectory; Movement (music); Simulation; Data mining; Transport engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02047988296285317,"gpt":0.2729558448255132,"spread":0.25247596186266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002185805,0.0001886005,0.0003783986,0.0007250436,0.0001251492,0.00007367603,0.0002117875,0.0001445245,0.00007118092],"category_scores_gemma":[0.00000220399,0.0002086354,0.0002308427,0.0004841724,0.00004484442,0.0002179024,1.119313e-7,0.0001764581,0.00001619201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104248,"about_ca_system_score_gemma":0.00001663897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006073438,"about_ca_topic_score_gemma":0.004227968,"domain_scores_codex":[0.9984959,0.00003031498,0.0007821613,0.0002126466,0.0002774767,0.0002015258],"domain_scores_gemma":[0.9991933,0.00004749338,0.0001693795,0.0004254898,0.00008008649,0.00008422307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003394152,0.000208059,0.01606915,0.0001953394,0.0005307512,0.00001133899,0.001787672,0.9760582,0.002623924,0.0001618487,0.0000348047,0.002284955],"study_design_scores_gemma":[0.0004492801,0.00006360078,0.1328194,0.0001185791,0.0009433407,9.712812e-7,0.0007284143,0.858451,0.005925169,0.000002613486,0.0001893696,0.0003082871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6070043,0.00003969472,0.3910736,0.0000100772,0.0007083159,0.0003480234,0.0002589338,0.000361323,0.0001957976],"genre_scores_gemma":[0.999413,0.00008892244,0.0001090896,0.000005723028,0.0000119893,0.0001481999,0.0001003764,0.00003124259,0.00009147733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3924087,"threshold_uncertainty_score":0.8507903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1569529439","doi":"10.1007/978-3-540-39923-0_11","title":"MAGS Project: Multi-agent GeoSimulation and Crowd Simulation","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Crowd simulation; Human–computer interaction; Geographic information system; Perception; Software; Cognitive map; Software agent; Software engineering; Cognition; Artificial intelligence; Cartography; Crowds; Geography; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.02235031679226433,"gpt":0.2638252062989984,"spread":0.2414748895067341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002209803,0.0002642257,0.0001966895,0.0003691236,0.00009103789,0.000151346,0.0001814063,0.0002170943,0.00001600857],"category_scores_gemma":[0.0000350004,0.0002671478,0.00003584606,0.0001766724,0.0001374165,0.0001878891,0.00006222837,0.0003046757,0.00001049173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863182,"about_ca_system_score_gemma":0.0000508653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003992065,"about_ca_topic_score_gemma":0.0000431112,"domain_scores_codex":[0.998772,0.000009435292,0.0002657725,0.0004172183,0.0003037542,0.0002317908],"domain_scores_gemma":[0.9994062,0.0001220407,0.00005898275,0.0002684108,0.00008948173,0.00005493891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001106671,0.00000417781,0.00006835681,0.000034847,0.000003531245,0.00000301829,0.00025164,0.9162287,0.00005060871,0.0003685225,0.00000399049,0.08298149],"study_design_scores_gemma":[0.000201845,0.00001958516,0.0003323778,0.00007805954,0.000006935405,0.000005091922,1.345119e-7,0.9933206,0.00007232551,0.004557078,0.001117575,0.0002884322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008624057,0.0002872647,0.9966715,0.00005164366,0.0005922596,0.000348533,0.000005189218,0.0001337629,0.001047434],"genre_scores_gemma":[0.881112,0.00008712648,0.1175379,0.0005357499,0.0001697956,0.000006964388,0.00002473739,0.00006639749,0.0004593172],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8802496,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3084782355","doi":"10.1016/j.jairtraman.2020.101915","title":"Social distancing in airplane seat assignments","year":2020,"lang":"en","type":"article","venue":"Journal of Air Transport Management","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aisle; Social distance; Airplane; Crew; Distancing; Computer security; Computer science; Aeronautics; Advertising; Engineering; Business; Coronavirus disease 2019 (COVID-19); Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01034729422997224,"gpt":0.2139748927730574,"spread":0.2036275985430851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236369,0.0000868545,0.0001587286,0.00007353193,0.00002014792,0.000007548376,0.0001139936,0.00002876902,0.00004921252],"category_scores_gemma":[8.701716e-7,0.00008629129,0.0000714194,0.0001445381,0.000007144401,0.000120621,0.000004406983,0.0001550864,0.00000761099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009185266,"about_ca_system_score_gemma":0.000006116899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.755532e-7,"about_ca_topic_score_gemma":0.00001162384,"domain_scores_codex":[0.9991812,0.000007506119,0.0003628462,0.00005952576,0.0002622223,0.0001267626],"domain_scores_gemma":[0.9998229,0.000004102939,0.00005391798,0.00003747958,0.00001446081,0.00006712889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003147625,0.0002492286,0.06760257,0.001544545,0.0007756837,0.003042612,0.008875747,0.8781177,0.00113987,0.005361225,0.01168519,0.0212908],"study_design_scores_gemma":[0.006178405,0.0002445736,0.8441129,0.0003051943,0.0003067133,0.00001891908,0.002909128,0.05961331,0.0004305539,0.0005793931,0.0845624,0.0007385034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7900531,0.0001898074,0.1791942,0.004498136,0.0004439096,0.0002772179,0.00001220391,0.0001209703,0.02521043],"genre_scores_gemma":[0.9987451,0.00008135629,0.0007010852,0.0002998367,0.00008382996,0.000001347543,0.000005904225,0.00001478589,0.00006672562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8185045,"threshold_uncertainty_score":0.3518856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2922022416","doi":"10.17815/cd.2019.19","title":"A Glossary forResearch on Human Crowd Dynamics","year":2019,"lang":"en","type":"article","venue":"Collective Dynamics","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Prevention of Organ Failure","funders":"Lorentz Center; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Glossary; Terminology; Multidisciplinary approach; Computer science; Data science; Crowds; Process (computing); Field (mathematics); Point (geometry); Management science; Epistemology; Engineering ethics; Sociology; Social science; Linguistics; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01672234481660143,"gpt":0.2835328852963744,"spread":0.266810540479773,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002037747,0.0002828179,0.0002822592,0.0003321021,0.0002075092,0.0001101975,0.0003401041,0.0002029163,0.0002480315],"category_scores_gemma":[0.00004535319,0.000310705,0.0001275797,0.0007978556,0.00006690746,0.0001513549,0.00007355787,0.0005298788,0.0005110771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002557015,"about_ca_system_score_gemma":0.0001119383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001646651,"about_ca_topic_score_gemma":0.00071102,"domain_scores_codex":[0.9984494,0.00004815862,0.0002743869,0.0003445292,0.000390396,0.0004931177],"domain_scores_gemma":[0.9990292,0.0001485633,0.00003897903,0.0004847365,0.0001647663,0.0001337709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003344011,0.0006504731,0.07554182,0.0005928433,0.0006934169,0.0000705312,0.00162335,0.3844336,0.002763239,0.504097,0.01563472,0.01356453],"study_design_scores_gemma":[0.0007294948,0.0002077779,0.01088979,0.00003583926,0.00001122237,0.000005871377,0.0002911099,0.9819298,0.00008342212,0.005150863,0.0003010838,0.0003637688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816151,0.00003216728,0.01291228,0.000086789,0.0005961332,0.0006725544,0.0001523422,0.0004765138,0.3034561],"genre_scores_gemma":[0.9772864,0.00001665986,0.0002839725,0.0001061544,0.00005688028,0.00005591816,0.0002473537,0.0001029047,0.02184378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5974962,"threshold_uncertainty_score":0.9999345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1584634559","doi":"10.1007/978-3-540-30479-1_62","title":"Modeling the Effect of Leadership on Crowd Flow Dynamics","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Crowds; Factoring; Computer science; Dynamics (music); Computer security; Crowd psychology; Crowd simulation; Control (management); Artificial intelligence; Business; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.0185810886753449,"gpt":0.2271524878010741,"spread":0.2085713991257293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381403,0.0003086314,0.0002916448,0.0002566798,0.0000736313,0.00007360977,0.0007004583,0.0002238677,0.00001698056],"category_scores_gemma":[0.00004318184,0.0002238994,0.0001010997,0.0001887448,0.0002527736,0.00007228165,0.00007527769,0.0006801201,0.00001537657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003722631,"about_ca_system_score_gemma":0.00007071249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008051556,"about_ca_topic_score_gemma":0.0001956942,"domain_scores_codex":[0.9986333,0.00001388823,0.0002684534,0.0003362125,0.0004611244,0.0002869773],"domain_scores_gemma":[0.9990766,0.0002848903,0.00004476556,0.0004974262,0.00004949489,0.00004684092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004288958,0.000001606747,0.000005862428,0.00007513268,0.000006520339,0.000003043179,0.0001492072,0.8681623,0.00001366724,0.001854199,0.000001136994,0.129723],"study_design_scores_gemma":[0.0001623943,0.0001138508,0.000007160483,0.0003454634,0.000009988878,0.000005117472,2.400369e-7,0.9906087,0.0004361934,0.008089462,0.000005251121,0.000216168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001256588,0.0001947699,0.9943194,0.0002072514,0.0008606347,0.0002272096,0.000006260578,0.00009832382,0.002829514],"genre_scores_gemma":[0.9897662,0.00001900677,0.009691259,0.0002619778,0.0001460355,0.000003040726,0.000009357858,0.00004601668,0.00005710724],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9885096,"threshold_uncertainty_score":0.9130353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2941681834","doi":"10.1145/3290605.3300502","title":"An Exploratory Study of the Use of Drones for Assisting Firefighters During Emergency Situations","year":2019,"lang":"en","type":"article","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drone; Context (archaeology); Exploratory research; Feeling; Internet privacy; Computer security; Emergency management; Business; Computer science; Public relations; Aeronautics; Engineering; Psychology; Political science; Sociology; Social psychology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.04202996679379668,"gpt":0.2554851273115847,"spread":0.213455160517788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005352958,0.00005275631,0.00007804028,0.00003395696,0.0000360357,0.000005116734,0.00008071498,0.00001905221,0.00006321605],"category_scores_gemma":[0.00001833077,0.00004083305,0.00003330442,0.00009770742,0.000004665208,0.0001756965,0.00001255627,0.00002776607,0.000001750554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001247695,"about_ca_system_score_gemma":0.000005696698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006619687,"about_ca_topic_score_gemma":0.000310032,"domain_scores_codex":[0.9995687,0.00001450823,0.0002041558,0.00006319419,0.00008664167,0.00006279496],"domain_scores_gemma":[0.9996519,0.00002846228,0.00003131293,0.0002164929,0.00005691087,0.00001492528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001042374,0.0003181378,0.2015667,0.0002511774,0.0001065256,7.6083e-8,0.01051017,0.6415888,0.1434995,0.001318298,0.0001797232,0.0006505014],"study_design_scores_gemma":[0.000727639,0.0001066528,0.2336905,0.00002722117,0.00004483678,1.910922e-7,0.008854997,0.7469499,0.009254626,0.000107219,0.00005899196,0.0001772396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939142,0.000005102075,0.005409416,0.000009284689,0.0001958286,0.0002854062,0.000006675087,0.0000486858,0.0001253544],"genre_scores_gemma":[0.9990403,0.000002718672,0.0007220538,0.000002488207,0.000008641759,0.00001900527,0.000002793973,0.00001251035,0.0001894818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1342449,"threshold_uncertainty_score":0.1665123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081823885","doi":"10.1016/j.physa.2010.05.045","title":"Microscopic information processing and communication in crowd dynamics","year":2010,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Dynamics (music); Computer science; Human behavior; Human–computer interaction; Data science; Computer security; Physics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.004501105438704114,"gpt":0.2362981412790736,"spread":0.2317970358403695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007317566,0.0000907252,0.00009648679,0.0000534967,0.0001011699,0.00009191158,0.00007518467,0.00005703797,0.000007104174],"category_scores_gemma":[0.00002496001,0.00009842258,0.000006641827,0.0001483099,0.00001983237,0.0002563297,0.00003301774,0.0002228905,0.00001070406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002092536,"about_ca_system_score_gemma":0.0000138012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005404591,"about_ca_topic_score_gemma":0.0001245869,"domain_scores_codex":[0.9995208,0.000007556449,0.0001951751,0.00009276989,0.00006744456,0.0001162092],"domain_scores_gemma":[0.999647,0.0000707483,0.00003209842,0.0001321192,0.0000532747,0.00006480982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001169052,0.00002067949,0.0000158208,0.00008191382,0.000002511017,3.85713e-8,0.0001514813,0.0000749612,0.00348697,0.9506964,0.00002047534,0.04544757],"study_design_scores_gemma":[0.0001558893,0.000007346428,0.0009342186,0.00001122849,0.000008415789,0.000001746444,0.00007846786,0.9380578,0.0001243437,0.05924386,0.001267777,0.0001089346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05296847,0.0001129827,0.9448432,0.0003539586,0.00002884731,0.0004473641,0.0001758491,0.000119021,0.0009503422],"genre_scores_gemma":[0.9860998,0.0001847902,0.0133032,0.00005291483,0.00001091473,0.0001656537,0.0001662974,0.00001150043,0.000004941027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9379828,"threshold_uncertainty_score":0.4013556,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2953449510","doi":"10.1098/rspb.2019.0865","title":"Local interactions and their group-level consequences in flocking jackdaws","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Flocking (texture); Group (periodic table); Communication; Psychology; Geography; Computer science; Physics; Art; Visual arts","retraction":null,"screen_n_in":null,"score":{"opus":0.02890690352114583,"gpt":0.2372935438206524,"spread":0.2083866402995066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003718236,0.00008796204,0.0001199646,0.00001418778,0.00009618347,0.00004237927,0.0002565823,0.00006467745,0.00003579123],"category_scores_gemma":[0.00003618894,0.00004535538,0.00007047445,0.0002560443,0.0006455327,0.0001018905,0.00009384261,0.0001470038,0.000002898422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003421892,"about_ca_system_score_gemma":0.000007306757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003509561,"about_ca_topic_score_gemma":0.00001044273,"domain_scores_codex":[0.999434,0.000004783183,0.0001503973,0.0001531724,0.00009337493,0.0001642906],"domain_scores_gemma":[0.9997937,0.00008384437,0.00004265646,0.00002509511,0.00002732035,0.00002737213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009418901,0.00005730874,0.8790407,0.0001006426,0.00003468292,6.25599e-8,0.002683554,0.006940091,0.081452,0.02065064,0.0003976702,0.008633237],"study_design_scores_gemma":[0.0002192355,0.0001187753,0.1922548,0.0001178119,0.000004087204,0.000004399379,0.01231846,0.7812512,0.006115198,0.006967976,0.0003833727,0.0002447648],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951019,0.00009814218,0.0003619285,0.0002490798,0.0001121883,0.000105309,0.000003750817,0.00004225099,0.003925455],"genre_scores_gemma":[0.9990385,0.00005506551,0.0007455402,0.00009395863,0.00001244246,0.000005592085,3.14048e-7,0.000002377865,0.00004619603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7743111,"threshold_uncertainty_score":0.2378492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4255191609","doi":"10.1007/s10694-016-0586-2","title":"Guidance for the Model User on Representing Human Behavior in Egress Models","year":2016,"lang":"en","type":"article","venue":"Fire Technology","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Set (abstract data type); Computer science; Fire safety; Representation (politics); Fire protection engineering; Risk analysis (engineering); Simulation; Engineering; Architectural engineering; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03137903080982509,"gpt":0.2850957013400693,"spread":0.2537166705302442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000866206,0.00008364287,0.00008941479,0.00009130135,0.00005527211,0.000007224022,0.0002494945,0.0001504065,0.000007111353],"category_scores_gemma":[0.00003934753,0.00005486435,0.00002971448,0.0001147919,0.00004363936,0.00006090185,0.00003913195,0.0001052629,0.000007983254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004882644,"about_ca_system_score_gemma":0.000004870206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003578722,"about_ca_topic_score_gemma":0.0000615966,"domain_scores_codex":[0.9994532,0.000003715018,0.0001572426,0.0001408905,0.0000565193,0.0001884261],"domain_scores_gemma":[0.9995099,0.00005107728,0.00002349972,0.0003808922,0.00002404329,0.00001058704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001460757,0.00007291115,0.005405473,0.00003345396,0.00002523026,0.000006877232,0.0001326982,0.5175801,0.03617306,0.3485755,0.002747328,0.08923274],"study_design_scores_gemma":[0.000298946,0.0000151959,0.0005683131,0.00003596505,0.000005891552,0.000001361515,0.0000182654,0.9812444,0.002464639,0.01481373,0.0004377634,0.00009554497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854399,0.0001469916,0.1418625,0.001420224,0.00008597347,0.0003614612,0.00001807213,0.0006795891,0.001026153],"genre_scores_gemma":[0.9975136,0.00002196084,0.001116395,0.0000302331,0.00001492643,0.0003597403,0.000001592953,0.00002516759,0.000916389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4636643,"threshold_uncertainty_score":0.2237303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2958068595","doi":"10.1016/j.autcon.2019.102896","title":"Simulating multi-agent narratives for pre-occupancy evaluation of architectural designs","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"European Research Council; Azrieli Foundation; Israel Science Foundation","keywords":"Narrative; Scalability; Occupancy; Computer science; Post-occupancy evaluation; Key (lock); Work (physics); Systems engineering; Data science; Human–computer interaction; Architectural engineering; Software engineering; Simulation; Engineering; Database; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.04165951146930039,"gpt":0.3316589439955002,"spread":0.2899994325261998,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004124427,0.00008753007,0.0001182574,0.0001636569,0.00002788093,0.00001447108,0.00004134241,0.00006174701,0.00006393851],"category_scores_gemma":[0.00009479163,0.00009512578,0.00003914732,0.0001656893,0.00002082176,0.0002003321,0.000005129817,0.0000585293,0.000005817821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273055,"about_ca_system_score_gemma":0.00003584343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004094957,"about_ca_topic_score_gemma":0.00002322734,"domain_scores_codex":[0.9991752,0.00006788038,0.0003452998,0.0001130617,0.0002003874,0.00009816956],"domain_scores_gemma":[0.9995049,0.00009104759,0.0001024244,0.0001058415,0.0001797327,0.00001608393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001013687,0.00001032971,0.01434343,0.0001026479,0.000015753,1.4619e-8,0.002305963,0.9098189,0.01765607,0.001001495,0.000002906041,0.0547323],"study_design_scores_gemma":[0.00103763,0.00002088422,0.06223794,0.00005134206,0.00001102761,0.000002556257,0.0006849298,0.9319187,0.002675888,0.001261623,0.000007159629,0.00009035682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7625829,0.00002500186,0.2359958,0.000009935418,0.0003969209,0.0006559502,0.000006058474,0.0001042161,0.0002232028],"genre_scores_gemma":[0.9552633,0.000001373621,0.04457708,0.00000365626,0.0000175761,0.00007278414,0.00003893936,0.00001210673,0.00001319272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926804,"threshold_uncertainty_score":0.3879116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128641904","doi":"10.1007/s10878-021-00699-0","title":"Designing emergency flood evacuation plans using robust optimization and artificial intelligence","year":2021,"lang":"en","type":"article","venue":"Journal of Combinatorial Optimization","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Computer science; Flood myth; Robust optimization; Operations research; Theory of computation; Emergency evacuation; Mathematical optimization; Set (abstract data type); Plan (archaeology); Engineering; Mathematics; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.02920122571456015,"gpt":0.2539812705037813,"spread":0.2247800447892211,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003508657,0.0001335599,0.0001989799,0.0001655398,0.0001088818,0.00009468936,0.00007564321,0.0001240262,0.0001301978],"category_scores_gemma":[0.0002102115,0.0001498874,0.00005591109,0.0004164944,0.00001441141,0.0005658017,0.00001709857,0.0001744873,9.749768e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111291,"about_ca_system_score_gemma":0.00009169064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.615592e-7,"about_ca_topic_score_gemma":9.581264e-7,"domain_scores_codex":[0.9986966,0.00008231434,0.0006878772,0.0001062223,0.0002930367,0.0001339215],"domain_scores_gemma":[0.9989093,0.00004372241,0.0002395764,0.00008879814,0.0006349573,0.00008363934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001851113,0.00004036842,0.00009781854,0.00002237264,0.00003576465,0.00000622779,0.0002130044,0.9947449,0.001667706,0.002323331,0.00002476842,0.0008052552],"study_design_scores_gemma":[0.0002433965,0.00005001226,0.00001698747,0.00004727035,0.00007878339,0.00004801511,0.0002358659,0.9918447,0.00503541,0.002241703,0.00001056164,0.0001473044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01186784,0.0002563816,0.9840775,0.00005560243,0.003475405,0.00007834075,0.000002919164,0.00004015016,0.0001458975],"genre_scores_gemma":[0.4299207,0.001129928,0.5682509,0.00001247848,0.0005910466,0.000001702185,0.00003961581,0.00004521205,0.000008426681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4180529,"threshold_uncertainty_score":0.6112229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1501456815","doi":"10.1002/atr.1211","title":"An integrated model for evacuation routing and traffic signal optimization with background demand uncertainty","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Lagrange multiplier; Computer science; Sorting; Mathematical optimization; Genetic algorithm; Logit; Constraint (computer-aided design); Flow network; Traffic flow (computer networking); Optimization problem; Pareto principle; Operations research; Mathematics; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01245766849653483,"gpt":0.2505410769715657,"spread":0.2380834084750309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245431,0.0001107136,0.0001404395,0.00008804053,0.00005571279,0.00002557535,0.00003674187,0.00005524432,0.000005352993],"category_scores_gemma":[0.000005048129,0.00009459884,0.00003107893,0.0001115087,0.00001474317,0.001211869,2.276862e-7,0.00009889707,9.717344e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006447636,"about_ca_system_score_gemma":0.00002911891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.580047e-7,"about_ca_topic_score_gemma":0.00003645727,"domain_scores_codex":[0.9993013,0.00001314007,0.0003407588,0.00006554042,0.0001445074,0.0001347137],"domain_scores_gemma":[0.9994389,0.00003532486,0.0001561187,0.00004285325,0.0002348474,0.0000919792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001717446,0.00002947062,0.0003470871,0.00003284144,0.00002456755,2.850014e-7,0.00219755,0.9886464,0.00172649,0.0001626665,0.000002008192,0.006658852],"study_design_scores_gemma":[0.001162565,0.0001491537,0.004087527,0.00004839887,0.00008445363,0.000006080763,0.001268332,0.9928498,0.0001675218,0.00004759026,0.00001071083,0.0001178176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.477846,0.00006053813,0.5219281,0.000007893924,0.00004049691,0.00008616444,0.000007308804,0.00002092704,0.000002627172],"genre_scores_gemma":[0.8735011,0.00005841507,0.1262009,0.00001294015,0.00005169373,0.000006198791,0.0001429014,0.00002201196,0.000003861849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3957272,"threshold_uncertainty_score":0.3857629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318586151","doi":"10.1109/tte.2023.3240454","title":"Interaction-Aware Decision-Making for Autonomous Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Pedestrian; Task (project management); Inference; Baseline (sea); Human–computer interaction; Action (physics); Artificial intelligence; Transport engineering; Engineering; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01466325281698221,"gpt":0.2750169868536375,"spread":0.2603537340366552,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001637052,0.0001841239,0.0001461789,0.0004640244,0.0002540759,0.00005035097,0.0001169703,0.0001495274,0.00006318033],"category_scores_gemma":[0.000006628311,0.0002167923,0.0001407416,0.0008462401,0.00001922694,0.0002941696,9.110227e-9,0.0002163446,0.0001733861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159791,"about_ca_system_score_gemma":0.00004046494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002871348,"about_ca_topic_score_gemma":0.0001114465,"domain_scores_codex":[0.998821,0.00001543411,0.0004338228,0.000264874,0.000208327,0.0002566093],"domain_scores_gemma":[0.9991821,0.0003513745,0.00006107628,0.0002121895,0.0001341923,0.00005905401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008570775,0.00005324169,0.00001413906,0.00005376124,0.00005013193,9.00415e-7,0.0005937922,0.802808,0.03734947,0.0005467224,0.0005081465,0.157936],"study_design_scores_gemma":[0.0007421763,0.000106531,0.003766688,0.00008580192,0.0000899672,0.0000024375,0.0003792144,0.8567144,0.1341362,0.001804877,0.001742874,0.0004288622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1275186,0.00001437026,0.869643,0.000107399,0.0006725767,0.0004520052,0.0001424575,0.001357884,0.00009169002],"genre_scores_gemma":[0.9974325,0.000150427,0.001378765,0.0000632482,0.00004306201,0.0004453227,0.0002478281,0.00006624263,0.0001726477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8699138,"threshold_uncertainty_score":0.8840533,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4309107111","doi":"10.1016/j.ijdrr.2022.103435","title":"Assessment of shelter location-allocation for multi-hazard emergency evacuation","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Hazard; Landslide; Work (physics); Population; Emergency management; Emergency evacuation; Geography; Environmental planning; Transport engineering; Business; Computer science; Engineering; Environmental health; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.02169353979693087,"gpt":0.3291569770859962,"spread":0.3074634372890653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004988365,0.00009892343,0.0001322811,0.0002941513,0.00007093521,0.00002119667,0.0002365809,0.00003187055,0.000216914],"category_scores_gemma":[0.00005580812,0.000105077,0.0001319526,0.0001607698,0.00001575641,0.0003657896,0.00002596402,0.0001830648,0.000001838274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634851,"about_ca_system_score_gemma":0.00006994428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005408559,"about_ca_topic_score_gemma":0.000006506907,"domain_scores_codex":[0.998494,0.00006478492,0.00070923,0.00009730204,0.0005489092,0.00008578285],"domain_scores_gemma":[0.9984173,0.00002147355,0.0005149474,0.0001016374,0.0009076938,0.00003690389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008777333,0.00030036,0.007423089,0.00004488571,0.0003905461,6.02989e-7,0.001764178,0.9443639,0.01836481,0.001772159,0.001366929,0.02412075],"study_design_scores_gemma":[0.001802287,0.0002584757,0.05234449,0.00003740569,0.0001384561,0.00008587346,0.003051851,0.93667,0.001956289,0.001520118,0.001919134,0.0002156283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4776623,0.0001126204,0.5173411,0.0001670872,0.004348607,0.0001662726,0.00005042637,0.00001921339,0.000132431],"genre_scores_gemma":[0.9897906,0.0001670763,0.009374189,0.000008869612,0.0003567988,0.00004575341,0.00009152952,0.00002198658,0.0001432328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5121283,"threshold_uncertainty_score":0.4284917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2087090337","doi":"10.1145/1404435.1404439","title":"March of the Froblins","year":2008,"lang":"en","type":"article","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Rendering (computer graphics); Computer game; Video game; Video game design; Game design; Graphics; Computer graphics; Computation; Game Developer; Game programming; Combinatorial game theory; Sequential game; Artificial intelligence; Human–computer interaction; Multimedia; Game theory; Computer graphics (images); Game design document; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01248103588265326,"gpt":0.1895682725591804,"spread":0.1770872366765271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001329546,0.00001691168,0.00002165406,0.000008388713,0.00001210779,7.54943e-7,0.00004680261,0.00001152711,0.000159639],"category_scores_gemma":[0.000003298715,0.00001097271,0.0000161701,0.00005507382,0.00001169696,0.00001105634,0.000006747059,0.0000254771,0.00002017695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004335405,"about_ca_system_score_gemma":0.000004081037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003369093,"about_ca_topic_score_gemma":0.00001473156,"domain_scores_codex":[0.9998668,0.000002180508,0.00004289697,0.00001531066,0.00004258556,0.00003023262],"domain_scores_gemma":[0.9999015,0.000006741557,0.000002833609,0.00007388646,0.000008088944,0.000006994758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000099364,0.0001469979,0.1442702,0.0001749748,0.00014592,0.000005544913,0.003516536,0.4564991,0.06377676,0.1806804,0.1383321,0.01244156],"study_design_scores_gemma":[0.0003336168,0.000009960173,0.2663929,0.000008278877,0.000005170781,0.00001232985,0.00008803896,0.6988996,0.01528848,0.0007612261,0.01806704,0.0001334012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277444,0.00002692673,0.01200505,0.000151698,0.0001162665,0.00003756038,0.000001968562,0.00007960836,0.1598366],"genre_scores_gemma":[0.9971634,0.00001877779,0.0005203687,0.00003614248,0.000006897665,6.504205e-7,4.178519e-7,0.00000318302,0.002250136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2424004,"threshold_uncertainty_score":0.1747935,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968944115","doi":"10.1080/13658816.2011.561209","title":"Finding moving flock patterns among pedestrians through collective coherence","year":2011,"lang":"en","type":"article","venue":"International Journal of Geographical Information Systems","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Flock; Closeness; Geography; Coherence (philosophical gambling strategy); Computer science; Data science; Flocking (texture); Cartography; Artificial intelligence; Mathematics; Ecology; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.02283800179374957,"gpt":0.2408092893450809,"spread":0.2179712875513313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003001213,0.0001337774,0.0001914842,0.0004236823,0.000057539,0.0002016965,0.0003747599,0.0001132039,0.00008291098],"category_scores_gemma":[0.0000753748,0.0001231144,0.0001394248,0.0002432179,0.00004040453,0.002084424,0.00002777889,0.0002915956,0.00002312913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495531,"about_ca_system_score_gemma":0.00004932814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009877799,"about_ca_topic_score_gemma":0.00001483882,"domain_scores_codex":[0.9982435,0.0000369531,0.0009098975,0.00005396198,0.0006029559,0.0001527008],"domain_scores_gemma":[0.9986072,0.00006827928,0.0004030731,0.00008739858,0.0007461762,0.0000878776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002057202,0.000146121,0.8241638,0.0001911405,0.001680405,0.00006950484,0.02419977,0.1265336,0.0001617222,0.01255224,0.001645708,0.008450259],"study_design_scores_gemma":[0.003171348,0.0003240386,0.5869976,0.00110926,0.0001017764,0.0006365208,0.01026553,0.3899106,0.0006032161,0.001596418,0.004423707,0.0008599024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7911071,0.00004967908,0.1925495,0.0000278482,0.002916321,0.0001657622,0.0000433567,0.00009168879,0.01304876],"genre_scores_gemma":[0.99921,0.00006859516,0.0004570047,0.00004696898,0.0001562409,0.000009669436,0.00001516076,0.00001014074,0.00002624273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.263377,"threshold_uncertainty_score":0.5020461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127334023","doi":"10.1002/atr.119","title":"Implementation of community flood risk communication in Kumamoto, Japan","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Flood myth; Flooding (psychology); Flood mitigation; Hazard; PDCA; Emergency evacuation; Plan (archaeology); Environmental planning; Transport engineering; Environmental science; Operations management; Geography; Engineering; Meteorology; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.006678780131004218,"gpt":0.2732386463764498,"spread":0.2665598662454456,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000432887,0.00007052555,0.0001434568,0.0001510138,0.00003966534,0.000006173,0.0001327408,0.00005047173,0.00003649015],"category_scores_gemma":[0.00001720576,0.00007495072,0.00005342629,0.0001701538,0.0000220886,0.0004033551,0.000001215505,0.0005791145,6.44392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751599,"about_ca_system_score_gemma":0.00002079605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008580256,"about_ca_topic_score_gemma":0.0104518,"domain_scores_codex":[0.9991062,0.00005419604,0.0005973378,0.00002590609,0.0001439891,0.00007236154],"domain_scores_gemma":[0.9992796,0.00006868383,0.0003143829,0.0001538549,0.0001515898,0.00003191064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008018305,0.0001802389,0.1790946,0.0001333662,0.00006508553,0.000001135614,0.02360292,0.5245648,0.1730638,0.001526665,0.00002520736,0.09766202],"study_design_scores_gemma":[0.001274141,0.00006847237,0.9801896,0.0000283655,0.00002979178,0.000002034431,0.005930183,0.0009587673,0.009956253,0.00140277,0.00008925419,0.00007033227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957525,0.00005011055,0.003797049,0.00002960054,0.0001631962,0.00009282893,0.00001827038,0.0000159323,0.00008057794],"genre_scores_gemma":[0.992045,0.0002974547,0.007564614,0.000008098194,0.00001270111,0.000003052388,0.00005560944,0.00001216527,0.000001334614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8010951,"threshold_uncertainty_score":0.5832348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2559190211","doi":"10.1080/23249935.2016.1266531","title":"A bi-directional agent-based pedestrian microscopic model","year":2016,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Computer science; Microsimulation; Genetic algorithm; Calibration; Artificial intelligence; Simulation; Data mining; Machine learning; Statistics; Engineering; Mathematics; Transport engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01711227055555657,"gpt":0.2333250102870253,"spread":0.2162127397314687,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003781552,0.0002591878,0.000236056,0.0008542298,0.000206094,0.00002867067,0.0005058088,0.0000955696,0.000222824],"category_scores_gemma":[0.00001420886,0.0002036909,0.0001502837,0.003035749,0.0004250401,0.0004465499,0.000002575513,0.0001308887,0.00006204611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022158,"about_ca_system_score_gemma":0.0003945821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001421021,"about_ca_topic_score_gemma":0.00007366053,"domain_scores_codex":[0.9977401,0.000006612692,0.0004363106,0.0004770234,0.0007518991,0.0005880281],"domain_scores_gemma":[0.9990972,0.00005022348,0.00004203932,0.0003635273,0.0001179518,0.0003290754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000127071,0.0004876613,0.1213883,0.0002883738,0.00007546612,0.00009722441,0.0008004049,0.3249277,0.5145918,0.003256516,0.0002594568,0.03370011],"study_design_scores_gemma":[0.005300411,0.0002022172,0.3234294,0.0002316279,0.0001888678,0.0000197044,0.00003727224,0.5703436,0.08257159,0.0009047379,0.01476448,0.002006106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4733488,0.0001187097,0.5231335,0.0002365323,0.0002960564,0.0001939663,0.0001342316,0.0006251161,0.001913139],"genre_scores_gemma":[0.9903586,0.0001595554,0.008920444,0.0001087942,0.00002670607,0.00003412248,0.0000180692,0.00003746583,0.0003362373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5170098,"threshold_uncertainty_score":0.8306274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2535339556","doi":"10.1002/fam.2405","title":"School egress data: comparing the configuration and validation of five egress modelling tools","year":2016,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Pathfinder; Fire protection engineering; Range (aeronautics); Poison control; Population; Work (physics); Computer science; Simulation; Transport engineering; Operations research; Engineering; Architectural engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05457306780846513,"gpt":0.2592225691222682,"spread":0.204649501313803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759561,0.00006167714,0.0001095025,0.00001355713,0.00004215083,0.00008340578,0.00007033142,0.00003475196,0.00003570984],"category_scores_gemma":[0.00002467419,0.00003748953,0.000004892286,0.00001827835,0.00002365084,0.0003327625,0.00003448646,0.00001727565,0.000004492686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006103121,"about_ca_system_score_gemma":0.000005167365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002236097,"about_ca_topic_score_gemma":0.000003749196,"domain_scores_codex":[0.9996054,0.00002241185,0.0001651863,0.00008562002,0.00005781055,0.00006353328],"domain_scores_gemma":[0.9996941,0.00005709098,0.00004310322,0.0001581541,0.00002621413,0.00002133354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001059135,0.00002395556,0.001155881,0.0006402173,0.0001572116,0.00000204274,0.001601166,0.03060706,0.927824,0.01118093,0.00187257,0.02482905],"study_design_scores_gemma":[0.001061845,0.00002693524,0.004794104,0.0004317015,0.00007630232,0.0000079637,0.0002373795,0.4382977,0.5518051,0.001356452,0.001589496,0.0003150348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720812,0.000122286,0.02713672,0.00007387644,0.0001476277,0.0001088609,0.000113798,0.00003360429,0.0001819621],"genre_scores_gemma":[0.9991978,0.0003865169,0.000185106,0.00001049347,0.00005404863,0.000006198149,0.00007950873,0.000007551125,0.00007272574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4076906,"threshold_uncertainty_score":0.1528779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2952068872","doi":"10.1155/2019/9717208","title":"The Influence of Wheelchair Users on Movement in a Bottleneck and a Corridor","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; SFPE Foundation","keywords":"Computer science; Algorithm; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.002862945588279856,"gpt":0.2059222519377574,"spread":0.2030593063494776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009889478,0.00004767891,0.00008759987,0.00005467198,0.000008901938,0.000004466523,0.00004078327,0.00001886556,0.000002078734],"category_scores_gemma":[0.000007367521,0.00003647321,0.00002287395,0.00007522451,0.000009941909,0.0001526847,3.800071e-7,0.00008814095,6.441019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002626103,"about_ca_system_score_gemma":0.00001074282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001462843,"about_ca_topic_score_gemma":0.00009917316,"domain_scores_codex":[0.9994951,0.000005283806,0.0002811994,0.00003365213,0.0001282329,0.00005647545],"domain_scores_gemma":[0.9997347,0.00004416799,0.0001017998,0.00004793177,0.00005134692,0.00002008151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006927012,0.000009238038,0.01215551,0.00002938818,0.000008216452,0.000001407102,0.0006832621,0.9682808,0.01524344,0.0005238177,0.000002171386,0.002993474],"study_design_scores_gemma":[0.0008593636,0.0001479101,0.9904076,0.0001410214,0.000006456443,7.161628e-7,0.0005715381,0.00566354,0.001446089,0.0005206325,0.0001842176,0.00005086698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992487,0.000102569,0.0003553435,0.00005339092,0.0001053103,0.00007973192,0.000002312556,0.000004740652,0.00004793139],"genre_scores_gemma":[0.9990634,0.0004378338,0.0004303808,0.00004246075,0.000004835844,0.000001436049,0.00000117124,0.000006048145,0.00001241492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9782521,"threshold_uncertainty_score":0.1487334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}