{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":147,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":147,"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":"aa5f9c4279ef","filters":{"venue":"International Journal of Disaster Risk Reduction"}},"results":[{"id":"W2147480862","doi":"10.1016/j.ijdrr.2012.05.002","title":"Risk interpretation and action: A conceptual framework for responses to natural hazards","year":2012,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":593,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"International Social Science Council","keywords":"Action (physics); Context (archaeology); Natural hazard; Interpretation (philosophy); Interpersonal communication; Natural (archaeology); Conceptual model; Risk analysis (engineering); Conceptual framework; Moderation; Social psychology; Psychology; Management science; Business; Sociology; Computer science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02546023317836394,"gpt":0.3745355137050078,"spread":0.3490752805266438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009400947,0.00009168571,0.0001172415,0.0002190384,0.0002120473,0.000177445,0.0002384524,0.00005941166,0.00004538655],"category_scores_gemma":[0.001258825,0.00007897319,0.00009898823,0.0001164909,0.0002033945,0.001236747,0.00004449245,0.0001996286,0.000009504723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330033,"about_ca_system_score_gemma":0.00004922603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005917489,"about_ca_topic_score_gemma":0.00003160406,"domain_scores_codex":[0.9986251,0.0002451926,0.0003052743,0.0001184916,0.0005189427,0.000187017],"domain_scores_gemma":[0.9987376,0.0002257393,0.0004498639,0.0000633168,0.0003853175,0.0001381454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.004021888,0.0002585698,0.03724235,0.00001192121,0.0004728014,0.000002282168,0.2499474,0.0001564489,0.0005894129,0.03382526,0.005307878,0.6681638],"study_design_scores_gemma":[0.002742693,0.001100145,0.1451889,0.0006377106,0.0006112503,0.0001737353,0.5457319,0.0006697259,0.001338157,0.04297847,0.2579494,0.0008779112],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314989,0.0003167644,0.05738667,0.001747302,0.008402376,0.0002006923,0.00001667689,0.00001474353,0.0004159123],"genre_scores_gemma":[0.9892047,0.0002967036,0.00653187,0.00008167211,0.002995542,0.000009796247,0.000002262943,0.00000822457,0.0008692463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6672859,"threshold_uncertainty_score":0.3220433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224305133","doi":"10.1016/j.ijdrr.2022.102983","title":"Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies","year":2022,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":429,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Resilience (materials science); Pandemic; Sustainability; Coronavirus disease 2019 (COVID-19); Business; Supply chain; Thematic analysis; Personal protective equipment; Supply chain management; Knowledge management; Risk analysis (engineering); Computer science; Marketing; Medicine; Sociology; Qualitative research","retraction":null,"screen_n_in":null,"score":{"opus":0.0493315240456717,"gpt":0.3313665757076537,"spread":0.282035051661982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001626102,0.0004927189,0.0006814832,0.001337139,0.0006391268,0.001232536,0.001338687,0.0001365171,0.0009614958],"category_scores_gemma":[0.0001140453,0.0003409233,0.0008552127,0.00055915,0.0001305584,0.002190639,0.0006295345,0.00090531,0.0000771003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006026,"about_ca_system_score_gemma":0.0001124902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002534147,"about_ca_topic_score_gemma":0.00003382761,"domain_scores_codex":[0.9959999,0.0002229156,0.001415576,0.0005021455,0.001497127,0.0003623174],"domain_scores_gemma":[0.9961588,0.00008065925,0.003176523,0.0003398536,0.0001953491,0.00004880913],"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":[0.0002083144,0.0001972663,0.0004062634,0.00287641,0.001136256,0.0002224754,0.0004755509,0.003988974,0.000003537577,0.0009105187,0.001510922,0.9880635],"study_design_scores_gemma":[0.0006945219,0.00002645409,0.0002317094,0.00100116,0.001469671,0.001085647,0.01178535,0.000135815,1.25755e-7,0.001673455,0.9815012,0.0003949387],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02015922,0.9371535,0.008649859,0.001786338,0.02684543,0.002866645,0.0001175783,0.0002456691,0.002175754],"genre_scores_gemma":[0.01477472,0.9769021,0.00007576125,0.0001468189,0.007063115,0.0001287863,0.0002506325,0.00007006897,0.0005879966],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9876686,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2949418167","doi":"10.1016/j.ijdrr.2019.101207","title":"Pre-disaster planning and preparedness for floods and droughts: A systematic review","year":2019,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":191,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"Australian Research Council","keywords":"Preparedness; Disaster risk reduction; Environmental planning; Emergency management; Flood myth; Risk management; Business; Environmental resource management; Disaster preparedness; Corporate governance; Sustainable development; Flood mitigation; Contingency plan; Legislature; Political science; Geography; Environmental science; Finance; Computer security; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02638785031560299,"gpt":0.3595920811442684,"spread":0.3332042308286654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007824191,0.0003052669,0.001184328,0.0001430503,0.00005688832,0.0001567296,0.0003359975,0.00009746461,0.00004762028],"category_scores_gemma":[0.00009424466,0.0002107992,0.0003064415,0.00008304274,0.00007317119,0.0006095777,0.0002443693,0.0002267598,0.00001202897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495336,"about_ca_system_score_gemma":0.00002842947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001381889,"about_ca_topic_score_gemma":0.000002507242,"domain_scores_codex":[0.9976368,0.0002024618,0.001124705,0.0003377463,0.0005405213,0.0001577509],"domain_scores_gemma":[0.9976414,0.00009923284,0.001915202,0.0002068553,0.00005650623,0.00008078275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008104827,0.0002045748,0.0001117592,0.6253406,0.002332611,0.00002406128,0.00343748,0.0001109644,0.000002652103,0.00004723587,0.006425305,0.3618818],"study_design_scores_gemma":[0.0007558641,0.0003858191,0.00002549551,0.6078772,0.01118,0.00211911,0.001016739,0.0002130202,9.285116e-7,0.000413587,0.3754223,0.0005899557],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005007475,0.9934954,0.001851373,0.00004983298,0.001887514,0.002021146,0.00002619886,0.000008853745,0.0001589515],"genre_scores_gemma":[0.000254822,0.9975684,0.0009417193,0.00003115325,0.0003275286,0.0001259849,0.000026128,0.00003290834,0.0006913365],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.368997,"threshold_uncertainty_score":0.8596143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782249463","doi":"10.1016/j.ijdrr.2018.01.001","title":"A global review of the impact of basis risk on the functioning of and demand for index insurance","year":2018,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":129,"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":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Index (typography); Basis risk; Actuarial science; Risk pool; Business; Insurance policy; Adverse selection; Risk management; Quality (philosophy); Casualty insurance; Risk analysis (engineering); Finance; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02653164470032439,"gpt":0.3178661741075305,"spread":0.2913345294072062,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006102227,0.0001682478,0.0005669137,0.00002000134,0.00008778495,0.00001907518,0.0004849079,0.00009157104,0.00002813796],"category_scores_gemma":[0.0004421311,0.00003840957,0.0008556958,0.0002803752,0.0001997339,0.0001155421,0.00006324252,0.0001843985,4.494776e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007078144,"about_ca_system_score_gemma":0.00004076543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475094,"about_ca_topic_score_gemma":0.0000158252,"domain_scores_codex":[0.9982586,0.0002857853,0.0008110418,0.0001265675,0.0004299785,0.00008801188],"domain_scores_gemma":[0.9955528,0.0002849204,0.003374681,0.00006467509,0.0006889984,0.00003395102],"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":[0.0001073992,0.00008538458,0.007482759,0.000884352,0.0004225222,1.253469e-7,0.00006993249,0.00004278159,0.00003119159,0.00002413166,0.001341975,0.9895074],"study_design_scores_gemma":[0.0006681417,0.00308329,0.7570383,0.1462466,0.002105112,0.0008601891,0.0009843609,0.00003377958,0.0001581832,0.00189269,0.08642088,0.000508527],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4219053,0.5768504,0.00001525738,0.000121825,0.0004227893,0.0002978867,0.0003558594,0.000001221697,0.00002946841],"genre_scores_gemma":[0.2959938,0.7035832,0.000009744087,0.000005081539,0.0003823615,0.000004774728,0.000005051889,7.848387e-7,0.00001520561],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9889989,"threshold_uncertainty_score":0.1566297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3165277398","doi":"10.1016/j.ijdrr.2021.102346","title":"Public health agencies outreach through Instagram during the COVID-19 pandemic: Crisis and Emergency Risk Communication perspective","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Infographic; Outreach; Public relations; Social media; Public health; Misinformation; Public engagement; Crisis communication; Health communication; Psychology; Political science; Medicine; Business; Nursing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1212448105833777,"gpt":0.4074705393712226,"spread":0.2862257287878449,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002366962,0.0001066414,0.0001573457,0.0001522699,0.001427907,0.0003222733,0.0006102973,0.0000759462,0.0001641819],"category_scores_gemma":[0.001750936,0.00008553365,0.0001418614,0.0003750953,0.0002466033,0.001417247,0.0001520892,0.0005148464,0.000003447854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350744,"about_ca_system_score_gemma":0.0007308086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006192286,"about_ca_topic_score_gemma":0.002456464,"domain_scores_codex":[0.996419,0.001963118,0.0006044574,0.0001712279,0.0006608654,0.0001812987],"domain_scores_gemma":[0.9966382,0.0001480811,0.001219488,0.0003359908,0.001494742,0.0001634359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008155929,0.0004611868,0.2184447,0.00001248451,0.0008314652,0.000003533132,0.6563557,0.0004254906,0.00009684193,0.08169911,0.007176365,0.03441152],"study_design_scores_gemma":[0.0007223884,0.00004973157,0.05124505,0.00002345743,0.00007174032,0.0003124398,0.7602901,0.00006431315,0.00001267938,0.07213978,0.1148946,0.0001736948],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828266,0.007648706,0.007200608,0.09745355,0.001015164,0.0001699343,0.0000356234,0.00003645104,0.003613346],"genre_scores_gemma":[0.9145676,0.08368883,0.0008939016,0.0001612388,0.0003476957,0.000009404791,0.00001515015,0.000008542766,0.0003076479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671996,"threshold_uncertainty_score":0.9998721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3178653480","doi":"10.1016/j.ijdrr.2021.102444","title":"“Disasters threaten livelihoods, and people cope, adapt and make transformational changes”: Community resilience and livelihoods reconstruction in coastal communities of Bangladesh","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; Royal Roads University; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre; University of Manitoba","keywords":"Livelihood; Psychological resilience; Extreme weather; Context (archaeology); Relocation; Asset (computer security); Focus group; Geography; Environmental resource management; Business; Climate change; Agriculture; Psychology; Economics; Social psychology; Marketing; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.01633481083169153,"gpt":0.2756793963039286,"spread":0.259344585472237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000844145,0.0001122626,0.0002101382,0.0002552295,0.0002494391,0.0001470549,0.0002059811,0.00006540217,0.00003248792],"category_scores_gemma":[0.00008753104,0.000108067,0.00003859213,0.0001815838,0.0005964346,0.000806487,0.000114507,0.0003214774,4.03849e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000465275,"about_ca_system_score_gemma":0.00008271418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043421,"about_ca_topic_score_gemma":0.02654322,"domain_scores_codex":[0.9983075,0.0005839497,0.0004129288,0.0001021707,0.0004555651,0.0001378412],"domain_scores_gemma":[0.9989374,0.0001441057,0.0003725782,0.00008346957,0.0003832731,0.00007916141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005470655,0.0003924263,0.2450888,0.0001251342,0.0002426828,0.00001293532,0.4423263,0.0001782669,0.001422735,0.00304043,0.0001057308,0.3065175],"study_design_scores_gemma":[0.001504407,0.0002448277,0.3487473,0.0006331648,0.00007596024,0.0004910365,0.643849,0.0003161709,0.0003315038,0.002976828,0.0006304731,0.0001994133],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953598,0.0004906353,0.00030003,0.001397655,0.0005374664,0.0001111865,0.00003696095,0.000006060772,0.001760243],"genre_scores_gemma":[0.9930156,0.006118824,0.0005700935,0.00002589566,0.0001222615,0.000003157757,0.000011641,0.000006146982,0.000126337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.306318,"threshold_uncertainty_score":0.9912198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4286513820","doi":"10.1016/j.ijdrr.2022.103191","title":"Business recovery from disasters: Lessons from natural hazards and the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of Colorado Boulder; National Science Foundation","keywords":"Pandemic; Business interruption insurance; Business; Economic recovery; Natural disaster; Disaster recovery; Hazard; Business continuity; Scale (ratio); Natural hazard; Coronavirus disease 2019 (COVID-19); Economic growth; Economics; Health care; Political science; Geography; Computer security; Health policy; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.04628863117110713,"gpt":0.2964554137982846,"spread":0.2501667826271774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113552,0.0001616597,0.0003632197,0.0003130078,0.0002254954,0.0002101644,0.0005696664,0.00005442757,0.0004828537],"category_scores_gemma":[0.001255069,0.0001388049,0.0001902526,0.0001852946,0.0001788242,0.000670686,0.0002541215,0.0005960066,0.00001861365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009002587,"about_ca_system_score_gemma":0.0001651925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684955,"about_ca_topic_score_gemma":0.00007885991,"domain_scores_codex":[0.9982846,0.0001771193,0.0008319122,0.0002992781,0.0002428111,0.0001642795],"domain_scores_gemma":[0.9976032,0.0004759568,0.001475765,0.0002115113,0.0001164326,0.0001170855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02071367,0.0009941078,0.5874934,0.00004570633,0.007448296,0.0001629867,0.08908392,0.05948757,0.001638651,0.01550581,0.03525567,0.1821702],"study_design_scores_gemma":[0.02295736,0.00026463,0.1699642,0.0001036178,0.0003517124,0.002180481,0.01609473,0.008631779,0.00005221121,0.5518985,0.2264245,0.001076308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608888,0.003717898,0.008183759,0.01771883,0.008055305,0.0001275188,0.001165547,0.00001634277,0.0001259952],"genre_scores_gemma":[0.9956164,0.001208124,0.0001920681,0.001396809,0.001252711,0.00001183859,0.00007249694,0.00002090732,0.0002286333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5363927,"threshold_uncertainty_score":0.7082282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023419169","doi":"10.1016/j.ijdrr.2020.101626","title":"Agriculture insurance for disaster risk reduction: A case study of Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":95,"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":"Business; Disaster risk reduction; Risk management; Agriculture; Risk pool; Business interruption insurance; Context (archaeology); Government (linguistics); General partnership; Environmental planning; Finance; Insurance policy; Key person insurance; General insurance; Income protection insurance; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02610265563269499,"gpt":0.2467536649513087,"spread":0.2206510093186137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004193659,0.0001817237,0.00043258,0.0002184399,0.00009957352,0.00008246784,0.0003298877,0.00007585022,0.00004465461],"category_scores_gemma":[0.0001445522,0.0001690994,0.0002870424,0.0002426658,0.00004891706,0.0006833773,0.00005539019,0.0002952704,0.00002315841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009900096,"about_ca_system_score_gemma":0.00001575951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002727787,"about_ca_topic_score_gemma":0.00001616659,"domain_scores_codex":[0.9980664,0.00004625824,0.001247026,0.0003087847,0.0001700673,0.0001614321],"domain_scores_gemma":[0.9970373,0.00002213308,0.00227467,0.0001585892,0.0004243168,0.00008297437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.006436756,0.006970293,0.564458,0.0002799595,0.005445021,0.0008233258,0.1947219,0.06039593,0.001212518,0.01039862,0.01809546,0.1307622],"study_design_scores_gemma":[0.04771134,0.0189272,0.3272727,0.0007212264,0.001513183,0.01473063,0.4009614,0.01040563,0.003029122,0.04403304,0.126803,0.003891528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850924,0.0004494767,0.009712856,0.0006551096,0.003052838,0.0004340219,0.0003058021,0.00001073955,0.000286744],"genre_scores_gemma":[0.9964852,0.0004528086,0.0007836346,0.00003345729,0.002077551,0.0000245153,0.000007983198,0.00002110299,0.0001137512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2371854,"threshold_uncertainty_score":0.6895675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3197765828","doi":"10.1016/j.ijdrr.2021.102546","title":"Spontaneous volunteer coordination during disasters and emergencies: Opportunities, challenges, and risks","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Chronic Disease Prevention Alliance of Canada; York University; Professional Engineers Ontario","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Research Foundation","keywords":"Liability; Business; Legislature; Emergency management; Public relations; Medical emergency; Medicine; Political science; Finance; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.05900494506869396,"gpt":0.3116875236040376,"spread":0.2526825785353436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004352962,0.00010526,0.0001350139,0.0001725335,0.0001926127,0.0001686565,0.0001727103,0.00005428648,0.00008483086],"category_scores_gemma":[0.0001597081,0.0001002731,0.00006032275,0.00006786604,0.0002288088,0.0008327561,0.00008901687,0.0001462362,0.000002379632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076331,"about_ca_system_score_gemma":0.00006684993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001260241,"about_ca_topic_score_gemma":0.0003182048,"domain_scores_codex":[0.9985321,0.000195563,0.0003400145,0.0001793906,0.0005984379,0.0001545029],"domain_scores_gemma":[0.9990033,0.00003862223,0.0003394927,0.00007547884,0.0004209573,0.0001221409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004980935,0.0004345427,0.006011348,0.000106285,0.0008136721,0.001857843,0.2562136,0.0002048665,0.003471424,0.01547676,0.001476967,0.7134346],"study_design_scores_gemma":[0.002264994,0.0002373947,0.06625786,0.0005373618,0.0003142526,0.005779291,0.7988894,0.0002165212,0.0004410114,0.007037246,0.1174073,0.0006173572],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843882,0.003545177,0.0002170627,0.004026124,0.002175493,0.00007044707,0.000006092341,0.00001275449,0.005558682],"genre_scores_gemma":[0.9635467,0.03176075,0.0001723444,0.00002016045,0.0006974731,0.000001978886,0.000003456356,0.000008865355,0.00378825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7128173,"threshold_uncertainty_score":0.4089016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2778311598","doi":"10.1016/j.ijdrr.2018.11.001","title":"Designing public open space to support seismic resilience: A systematic review","year":2018,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; University of Guelph","funders":"","keywords":"Resilience (materials science); Public space; Function (biology); Architectural engineering; Resource (disambiguation); Space (punctuation); Plan (archaeology); Community resilience; Foundation (evidence); Engineering; Environmental planning; Construction engineering; Environmental resource management; Computer science; Geography; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.07087828636062316,"gpt":0.4191450226898056,"spread":0.3482667363291825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005222201,0.0003593562,0.001620528,0.0007382841,0.0003089624,0.001376112,0.00375707,0.0001594749,0.0003028348],"category_scores_gemma":[0.001843271,0.0002683846,0.0006185474,0.0007982849,0.000246202,0.001753593,0.0005588431,0.0004330534,0.0003898861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006738008,"about_ca_system_score_gemma":0.0009763067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009701943,"about_ca_topic_score_gemma":0.00004382474,"domain_scores_codex":[0.9938591,0.001569017,0.001882471,0.000458817,0.001831824,0.0003987693],"domain_scores_gemma":[0.9944626,0.0001459837,0.003544461,0.0004154214,0.001102676,0.0003288203],"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":[0.00005746827,0.0004698037,0.00001552908,0.2752397,0.002521264,0.0002102837,0.01464809,0.00001830887,0.000001676772,0.001508502,0.166715,0.5385944],"study_design_scores_gemma":[0.00009118308,0.0001428859,3.478962e-7,0.2866185,0.00132329,0.0002757273,0.00311223,0.00000103934,4.548199e-7,0.000231144,0.707948,0.0002552127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001539482,0.9778688,0.002956451,0.00151169,0.00603493,0.002979834,0.00001543489,0.00002525113,0.008592226],"genre_scores_gemma":[0.0001917684,0.9887194,0.0008592382,0.0001809978,0.001698191,0.0001009302,0.00001280758,0.0000369028,0.008199752],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.541233,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890756979","doi":"10.1016/j.ijdrr.2018.09.007","title":"Flood risk mapping for direct damage to residential buildings in Quebec, Canada","year":2018,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Geological Survey of Canada; Institut National de la Recherche Scientifique","funders":"Environment Canada; Natural Resources Canada; Institut national de la recherche scientifique","keywords":"Flood myth; Flood risk assessment; Environmental science; Risk assessment; Probabilistic logic; Estimation; Hydrology (agriculture); Civil engineering; Risk analysis (engineering); Environmental resource management; Computer science; Geography; Engineering; Geotechnical engineering; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.006127382886784765,"gpt":0.2469612349630217,"spread":0.2408338520762369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004648236,0.0001076398,0.0001304144,0.0001733967,0.00007991558,0.0000931353,0.0003637383,0.00002780138,0.0002621959],"category_scores_gemma":[0.0001040813,0.00009826826,0.00007071803,0.0001523152,0.00004797693,0.0005129511,0.0001339243,0.0001278388,0.00001786824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007488455,"about_ca_system_score_gemma":0.00005506411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.606064,"about_ca_topic_score_gemma":0.8600769,"domain_scores_codex":[0.9985797,0.00006573389,0.000420546,0.0001956852,0.0005630142,0.0001753079],"domain_scores_gemma":[0.9993173,0.00002852161,0.0003941263,0.0001019006,0.00007729909,0.00008078836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00172948,0.000625577,0.4331321,0.00002078103,0.0007935989,0.00007671172,0.01202059,0.03205807,0.02322002,0.0002068428,0.309049,0.1870673],"study_design_scores_gemma":[0.002961733,0.0004350651,0.7367608,0.0002104266,0.0001552915,0.00003561988,0.005805804,0.001756971,0.009739242,0.001475633,0.2401547,0.0005087575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848532,0.00001501875,0.009551854,0.001276588,0.002858777,0.00020124,0.00001599844,0.000005987816,0.001221303],"genre_scores_gemma":[0.9925308,0.00004813568,0.005108828,0.0000709235,0.0009207042,0.000009286914,0.000003884132,0.00001191074,0.001295476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3036287,"threshold_uncertainty_score":0.4007263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3087439600","doi":"10.1016/j.ijdrr.2020.101892","title":"Editorial: Root causes and policy dilemmas of the COVID-19 pandemic global disaster","year":2020,"lang":"en","type":"editorial","venue":"International Journal of Disaster Risk Reduction","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":68,"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":"Economic and Social Research Council","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Root (linguistics); Political science; Virology; Medicine; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.03562835456620241,"gpt":0.321417088990231,"spread":0.2857887344240286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009490715,0.0003487706,0.0007656157,0.0003785889,0.00008942164,0.0001998138,0.001005612,0.0005600179,0.00006551276],"category_scores_gemma":[0.00967768,0.0002967773,0.0004305898,0.0002959345,0.000267899,0.0005350038,0.0003386075,0.001071585,0.0000232004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932173,"about_ca_system_score_gemma":0.00108414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951312,"about_ca_topic_score_gemma":0.0001425024,"domain_scores_codex":[0.9968646,0.0001184221,0.001681086,0.000429172,0.0006489551,0.0002577923],"domain_scores_gemma":[0.9943308,0.0003783681,0.004206889,0.0003127904,0.0004712218,0.0002999609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004103063,0.00007462535,0.05856157,0.00007021675,0.0006098344,0.000003588033,0.001868365,0.0002246725,0.000021443,0.0006350339,0.9369509,0.0005694265],"study_design_scores_gemma":[0.001657374,0.000135807,0.002453668,0.0001190972,0.0001089287,0.0001187256,0.0002037856,0.00001604518,0.000007171172,0.01766774,0.9772502,0.0002614474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.03398772,0.0008969728,0.0006918372,0.003558842,0.9577904,0.0001964536,0.002669378,0.0000170656,0.0001912753],"genre_scores_gemma":[0.2007055,0.0009431124,0.0000350689,0.0001591332,0.7979309,0.000004520164,0.00003903851,0.0000361145,0.0001465867],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1667178,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2935993889","doi":"10.1016/j.ijdrr.2019.101148","title":"How useful are earthquake early warnings? The case of the 2017 earthquakes in Mexico city","year":2019,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Instituto Politécnico Nacional; Consejo Nacional de Ciencia y Tecnología; Swine Innovation Porc","keywords":"Seismology; Forensic engineering; Urban seismic risk; Earthquake scenario; Geography; Geology; Engineering; Seismic hazard","retraction":null,"screen_n_in":null,"score":{"opus":0.0152391957375065,"gpt":0.2427471966703357,"spread":0.2275080009328292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006460047,0.0001236165,0.0002013461,0.0001625166,0.000113228,0.0001459712,0.0009356237,0.00006423475,0.00001172789],"category_scores_gemma":[0.0001940562,0.0000715367,0.0001938893,0.0002036075,0.0001681506,0.0008717679,0.0001920106,0.0004752766,0.00001039021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003566422,"about_ca_system_score_gemma":0.0000467308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001218348,"about_ca_topic_score_gemma":0.0001133749,"domain_scores_codex":[0.9985879,0.0002918031,0.0003882998,0.000179719,0.000397118,0.0001551649],"domain_scores_gemma":[0.9981024,0.0001313875,0.0009920466,0.0003282342,0.0004130026,0.00003289917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001889272,0.0001973655,0.9183582,0.000009766565,0.0004201662,0.0002893372,0.0253378,0.001968747,0.000348539,0.001534244,0.001123573,0.05022335],"study_design_scores_gemma":[0.0007105323,0.0001415953,0.9843494,0.0001110163,0.00002257619,0.004663188,0.003570574,0.0006228397,0.0009546088,0.002935381,0.001811049,0.0001072013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843869,0.0002408964,0.00192123,0.009287248,0.003905362,0.0001157388,0.000005905993,0.000007199295,0.0001295665],"genre_scores_gemma":[0.9989446,0.00006696599,0.0002207691,0.00007480368,0.0002578391,0.000002048157,2.578397e-7,0.00000510095,0.0004275653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06599125,"threshold_uncertainty_score":0.2917182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2751936106","doi":"10.1016/j.ijdrr.2017.09.010","title":"Seniors’ disaster resilience: A scoping review of the literature","year":2017,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Resilience and Mental Health","field":"Psychology","cited_by":63,"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":"Preparedness; Emergency management; Disaster risk reduction; Resilience (materials science); Coping (psychology); Disaster preparedness; Suicide prevention; Population; Human factors and ergonomics; Poison control; Political science; Environmental planning; Psychology; Environmental health; Economic growth; Medicine; Geography; Economics; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.0617180024383376,"gpt":0.496218442293427,"spread":0.4345004398550895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009709967,0.0003109775,0.001175588,0.0002754707,0.0001224675,0.0001062802,0.001590264,0.0002266416,0.0002425903],"category_scores_gemma":[0.0002509093,0.0001782434,0.001094536,0.000201155,0.0002259497,0.0004562358,0.0001563871,0.0009452706,0.00004432868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061344,"about_ca_system_score_gemma":0.0004652483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002203447,"about_ca_topic_score_gemma":0.000004193134,"domain_scores_codex":[0.9960641,0.0007077776,0.001775828,0.0003104572,0.0009159122,0.0002258704],"domain_scores_gemma":[0.9928965,0.00008985368,0.005709467,0.0006956233,0.0005066193,0.0001019128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004810591,0.0001178731,0.00003308041,0.02668075,0.0002679605,0.00002079864,0.002064469,4.041436e-7,8.936573e-7,0.00004584431,0.002403017,0.9683168],"study_design_scores_gemma":[0.0002502291,0.0001050801,0.00005571243,0.7919483,0.0004835504,0.003596046,0.0004867344,1.209889e-7,0.00000342788,0.00006364724,0.2028549,0.0001523379],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005426251,0.9839007,0.00002301224,0.0002311002,0.01297709,0.0007903618,0.00008172028,0.000004352323,0.001448985],"genre_scores_gemma":[0.0004733917,0.9954662,0.0000530531,0.00006749315,0.001936257,0.00002616982,0.00001854333,0.00002907869,0.001929842],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9681644,"threshold_uncertainty_score":0.7268554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390534399","doi":"10.1016/j.ijdrr.2024.104243","title":"Enhancing urban flood resilience: A coupling coordinated evaluation and geographical factor analysis under SES-PSR framework","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Flood myth; Urbanization; Urban resilience; Environmental planning; Psychological resilience; Environmental resource management; Urban planning; Resilience (materials science); Corporate governance; Business; Geography; Environmental science; Civil engineering; Economic growth; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.00869227231980601,"gpt":0.300767820765656,"spread":0.29207554844585,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008001346,0.0001348705,0.000163116,0.000422802,0.00009062749,0.0002812706,0.0002057226,0.00007336488,0.0006653417],"category_scores_gemma":[0.00007535328,0.000110894,0.0001696342,0.0006110059,0.00009799147,0.0005963224,0.000104736,0.0003276408,0.00001686275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000266258,"about_ca_system_score_gemma":0.00002454317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001601698,"about_ca_topic_score_gemma":0.00008521125,"domain_scores_codex":[0.9981492,0.00008505556,0.0004412151,0.000279177,0.0009000055,0.0001453834],"domain_scores_gemma":[0.9993794,0.00007351552,0.0002542771,0.000107056,0.000101578,0.00008415488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004151425,0.0006178727,0.44074,0.0000440491,0.007997788,0.00005891672,0.008723119,0.3761603,0.02333872,0.002055587,0.001750903,0.1380975],"study_design_scores_gemma":[0.00154731,0.0005309565,0.5626714,0.0005938333,0.005580767,0.0001912785,0.008581739,0.3947985,0.00446683,0.01772737,0.002553617,0.0007563435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8678052,0.0004139393,0.1296065,0.0005160754,0.001405435,0.0001222655,0.00000624402,0.00002046303,0.0001037891],"genre_scores_gemma":[0.9965948,0.0003793898,0.00250509,0.00001913793,0.0003616307,0.000006110071,0.000009360214,0.00001107208,0.0001133375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1373412,"threshold_uncertainty_score":0.7285026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171849880","doi":"10.1016/j.ijdrr.2021.102375","title":"Analysis of crisis communication by the Prime Minister of Australia during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Public Relations and Crisis Communication","field":"Social Sciences","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":"Canada Excellence Research Chairs, Government of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Prime minister; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Prime (order theory); Political science; Crisis communication; Criminology; Virology; Sociology; Law; Medicine; Politics; Mathematics; Outbreak","retraction":null,"screen_n_in":null,"score":{"opus":0.0586698999980506,"gpt":0.399581695568324,"spread":0.3409117955702733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001659029,0.00006433634,0.0001667821,0.0001908818,0.0002866883,0.00009145842,0.0008496328,0.00006321839,0.0002538464],"category_scores_gemma":[0.0004936146,0.00004323325,0.0002596799,0.0006167556,0.0002939119,0.0003802296,0.00008624757,0.0002378137,0.000001310509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173908,"about_ca_system_score_gemma":0.0001721349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477142,"about_ca_topic_score_gemma":0.0005039113,"domain_scores_codex":[0.99749,0.001020093,0.0006626326,0.00008515429,0.0006601192,0.00008203999],"domain_scores_gemma":[0.9969734,0.0002703874,0.001352286,0.0003964755,0.0009538949,0.00005358983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005007471,0.001284261,0.6776676,0.00002787455,0.01159073,0.000002883459,0.2248737,0.01032953,0.01927033,0.01280736,0.0229243,0.0187207],"study_design_scores_gemma":[0.002402114,0.0001245973,0.4094632,0.0001257192,0.004893026,0.000292207,0.3641512,0.000855403,0.005531883,0.00883002,0.202872,0.0004585784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808735,0.000635053,0.001461998,0.01610613,0.0002902462,0.00007115112,0.00003767186,0.000004580313,0.0005196406],"genre_scores_gemma":[0.9971045,0.001875621,0.0001495826,0.00005704126,0.00009315085,0.00000392161,0.00002651205,0.000003906546,0.0006857566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2682044,"threshold_uncertainty_score":0.277944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2514211761","doi":"10.1016/j.ijdrr.2016.08.006","title":"Resilience in a complex world – Avoiding cross-sector collapse","year":2016,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Interdependence; Resilience (materials science); Civil society; Crash; Process (computing); Business; Psychological resilience; Economic system; Risk analysis (engineering); Engineering; Political science; Industrial organization; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0480398775026858,"gpt":0.2921212196463899,"spread":0.2440813421437041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007206831,0.00009602113,0.0002006783,0.000654279,0.00004985704,0.00009774717,0.0003538154,0.00003546362,0.0004067197],"category_scores_gemma":[0.0003278598,0.00007667251,0.0001056474,0.0002157321,0.0000920934,0.0007401989,0.00004436014,0.0001411087,0.0001651264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143814,"about_ca_system_score_gemma":0.00004718612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004509722,"about_ca_topic_score_gemma":0.0000301136,"domain_scores_codex":[0.9985865,0.00003147826,0.0008519063,0.0002006154,0.0001715609,0.0001578935],"domain_scores_gemma":[0.9987815,0.00007715246,0.0007995943,0.00009941989,0.0001746212,0.00006768655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004449157,0.000174734,0.9650359,0.000004803686,0.0000879119,0.00003237323,0.001221301,0.0005763473,0.002544135,0.0154645,0.002703798,0.01170926],"study_design_scores_gemma":[0.001833347,0.00009355752,0.9166847,0.0001721137,0.000003114867,0.0001960481,0.0004238931,0.0001388287,0.00122643,0.05471065,0.02429152,0.0002258041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887595,0.0002083129,0.005123991,0.001227644,0.001406279,0.00006390203,0.00002613723,0.000005104352,0.003179126],"genre_scores_gemma":[0.9967414,0.0003922343,0.0006013993,0.00005141061,0.0003964615,0.000004033597,0.000001479573,0.000008906743,0.001802638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04835122,"threshold_uncertainty_score":0.4453296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1119628976","doi":"10.1016/j.ijdrr.2015.08.007","title":"Emergency preparedness amongst university students","year":2015,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":52,"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":"Preparedness; Emergency management; Limiting; Disaster preparedness; Psychology; Medical emergency; Medicine; Medical education; Political science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02516452242637969,"gpt":0.3345563785888443,"spread":0.3093918561624646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006699003,0.00006465464,0.00008468846,0.0001700539,0.0001063799,0.00008930599,0.0007536245,0.000035896,0.0001248233],"category_scores_gemma":[0.0001185284,0.00006020996,0.00008693371,0.0001590052,0.0001195481,0.0009966618,0.00009143526,0.0001035923,0.00003273239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614987,"about_ca_system_score_gemma":0.00010155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003470588,"about_ca_topic_score_gemma":0.0001629128,"domain_scores_codex":[0.9982366,0.0001960697,0.0002386324,0.0001059507,0.001106425,0.0001163345],"domain_scores_gemma":[0.9987247,0.000008677884,0.000414589,0.00007112423,0.0006393787,0.0001415539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001293083,0.001432981,0.4758224,0.00001009821,0.0008982064,0.0001459667,0.3450225,0.001363533,0.0002073713,0.007009648,0.090974,0.07582016],"study_design_scores_gemma":[0.002449302,0.0002650817,0.03753252,0.0001059243,0.0001958106,0.00004494726,0.63296,0.00005282465,0.00005703911,0.006178122,0.3198121,0.0003463025],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702846,0.00005093158,0.0009351413,0.0004586315,0.007645752,0.00007365947,0.00000347945,0.00001421404,0.02053359],"genre_scores_gemma":[0.9897485,0.0004169743,0.0001230303,0.000004903945,0.0009745891,2.799341e-7,0.00000161494,0.00000436998,0.008725699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4382899,"threshold_uncertainty_score":0.2455291,"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":"W3192391930","doi":"10.1016/j.ijdrr.2021.102508","title":"Co-production of risk knowledge and improvement of risk communication: A three-legged stool","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Disaster risk reduction; Narrative; Knowledge management; Risk analysis (engineering); Risk management; Production (economics); Business; Risk communication; Reduction (mathematics); Public relations; Computer science; Political science; Environmental resource management; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01531795547958915,"gpt":0.3200538868394064,"spread":0.3047359313598173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012932,0.00009976859,0.0002073586,0.000198248,0.0001974005,0.00006801511,0.000376502,0.00005484309,0.00009450308],"category_scores_gemma":[0.0006173336,0.00009055588,0.0001323922,0.0002163964,0.0004321258,0.0005975205,0.0000848149,0.0002389845,0.0000036256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009385045,"about_ca_system_score_gemma":0.0001204767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005020325,"about_ca_topic_score_gemma":0.0009064449,"domain_scores_codex":[0.9980397,0.0003738643,0.0006380167,0.0001673494,0.0006661241,0.0001149936],"domain_scores_gemma":[0.9969788,0.0001223866,0.001487161,0.0002092626,0.001139573,0.00006277657],"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":[0.000694935,0.001581316,0.1444892,0.00006843673,0.001156269,0.000005832013,0.1276428,0.0007948623,0.01359276,0.00581426,0.002900624,0.7012587],"study_design_scores_gemma":[0.005993342,0.0008063009,0.5055012,0.001360951,0.001532596,0.0001342345,0.3481063,0.0003621605,0.05009814,0.0540107,0.03124058,0.0008535383],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920913,0.001295415,0.001082475,0.0004928671,0.002106917,0.0001210185,0.00002796727,0.000007321126,0.002774692],"genre_scores_gemma":[0.9909716,0.007161675,0.0009178901,0.00000397502,0.0005483985,0.00000264458,0.000007271988,0.000007429674,0.0003790754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7004052,"threshold_uncertainty_score":0.3692762,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983673800","doi":"10.1016/j.ijdrr.2014.06.002","title":"Elder abuse and neglect in disasters: Types, prevalence and research gaps","year":2014,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Neglect; Elder abuse; Psychological intervention; Abandonment (legal); Physical abuse; Medicine; Suicide prevention; Domestic violence; Medical emergency; Poison control; Psychology; Psychiatry; Environmental health; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.02470448476012094,"gpt":0.3623206030490786,"spread":0.3376161182889577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288828,0.00006602388,0.0001041789,0.0003066802,0.0001139472,0.0001231489,0.0001997149,0.00005941034,0.00004273616],"category_scores_gemma":[0.0003234031,0.00005824699,0.00003104447,0.000157004,0.0002585257,0.0005869201,0.00003300436,0.0003108966,0.000005027686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007497678,"about_ca_system_score_gemma":0.00004808952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005558874,"about_ca_topic_score_gemma":0.0005632504,"domain_scores_codex":[0.9983633,0.0005393215,0.0002574482,0.0001425937,0.000533739,0.00016365],"domain_scores_gemma":[0.9992329,0.0001627152,0.0001557983,0.00006471283,0.0002959525,0.00008795254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009210611,0.0004328217,0.2389166,0.00006204018,0.0002231899,0.0000315642,0.3888332,0.00005154628,0.003135452,0.003577603,0.001672175,0.3621428],"study_design_scores_gemma":[0.01027719,0.003602042,0.5882705,0.008161346,0.0003644771,0.001466611,0.1059424,0.0006224768,0.007155522,0.1561199,0.1164154,0.001602065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956332,0.001333769,0.0001348147,0.0006659201,0.0006171652,0.00007827554,0.000001366521,0.000005266957,0.001530226],"genre_scores_gemma":[0.984937,0.01388487,0.0002034726,0.00002082995,0.0006920866,0.000002340729,4.122643e-7,0.000006651307,0.0002523208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3605407,"threshold_uncertainty_score":0.2375243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3164437782","doi":"10.1016/j.ijdrr.2021.102349","title":"Community Flood Resilience Categorization Framework","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Flood myth; Community resilience; Resilience (materials science); Flood mitigation; Categorization; Environmental resource management; Risk analysis (engineering); Environmental planning; Computer science; Geography; Business; Environmental science; Redundancy (engineering); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.00813502501472649,"gpt":0.2685583446261972,"spread":0.2604233196114706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000418979,0.00008749546,0.00009962558,0.00006100997,0.0001269946,0.00009611912,0.0003675159,0.00004538854,0.0007923216],"category_scores_gemma":[0.0001608188,0.00007888566,0.00008419994,0.0001768673,0.00007368826,0.000640319,0.0001968659,0.000397285,0.00007406219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021086,"about_ca_system_score_gemma":0.00002271201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001878005,"about_ca_topic_score_gemma":0.00005818008,"domain_scores_codex":[0.9985816,0.0002475168,0.0003409534,0.0001121269,0.0006124277,0.0001053595],"domain_scores_gemma":[0.9992358,0.00003270192,0.0003789144,0.000172774,0.0001216304,0.00005817139],"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":[0.0005769042,0.003875297,0.2976342,0.00003055093,0.001013867,0.0002387099,0.02346259,0.120164,0.05752224,0.007157404,0.03650633,0.4518179],"study_design_scores_gemma":[0.003828731,0.0009579154,0.6547505,0.0004702701,0.0005893531,0.001727922,0.03976261,0.004260737,0.06765483,0.153948,0.07092029,0.001128911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168901,0.00005355251,0.07576307,0.001111213,0.002847631,0.00005111671,0.000003670452,0.00001176198,0.003267881],"genre_scores_gemma":[0.9904213,0.0003216654,0.008204668,0.0000659283,0.0003778768,0.000001898301,0.00001091901,0.000008240415,0.0005874941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.450689,"threshold_uncertainty_score":0.8675365,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4383497665","doi":"10.1016/j.ijdrr.2023.103851","title":"Climate change-triggered vulnerability assessment of the flood-prone communities in Bangladesh: A gender perspective","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Vulnerability (computing); Livelihood; Adaptive capacity; Social vulnerability; Vulnerability index; Flood myth; Climate change; Geography; Sanitation; Psychological intervention; Environmental planning; Vulnerability assessment; Socioeconomics; Flooding (psychology); Environmental resource management; Agriculture; Sociology; Psychology; Environmental science; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.03735379625411954,"gpt":0.3319799852500198,"spread":0.2946261889959002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040601,0.0001079457,0.0001577895,0.0001752331,0.00007851766,0.00003663053,0.0004750893,0.00003631016,0.00028965],"category_scores_gemma":[0.00002909772,0.00007665037,0.0001339268,0.0003106239,0.0001660827,0.0004889137,0.0003601763,0.000298696,0.00001279532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339185,"about_ca_system_score_gemma":0.00001687081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059889,"about_ca_topic_score_gemma":0.0003482484,"domain_scores_codex":[0.9982201,0.0003150642,0.000449936,0.0001218577,0.0007307253,0.0001622919],"domain_scores_gemma":[0.9991407,0.00004503469,0.0004983046,0.0001933919,0.00008991543,0.00003260042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002827456,0.001210471,0.8828745,0.00003497019,0.0003869905,0.00001673052,0.03976924,0.02749352,0.003420315,0.003512324,0.001995717,0.03900246],"study_design_scores_gemma":[0.0009255463,0.00009819587,0.9584131,0.00008453281,0.00005038755,0.00002230953,0.03091317,0.003919959,0.0004129561,0.004561917,0.0004903034,0.0001075879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937646,0.00003527611,0.0002572174,0.001508816,0.001473253,0.0002517884,0.00002183157,0.00001067811,0.002676581],"genre_scores_gemma":[0.998621,0.0005783976,0.0004817145,0.0000289741,0.0001891235,0.00002012764,0.000006089383,0.000009344003,0.00006516015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07553862,"threshold_uncertainty_score":0.3171464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3086051101","doi":"10.1016/j.ijdrr.2020.101861","title":"Developing a comprehensive methodology for evaluating economic impacts of floods in Canada, Mexico and the United States","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":46,"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":"Commission for Environmental Cooperation","keywords":"Preparedness; Damages; Flooding (psychology); Strengths and weaknesses; Government (linguistics); Environmental planning; Business; Metadata; Environmental resource management; Computer science; Geography; Political science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.06713423609517592,"gpt":0.3476972454223197,"spread":0.2805630093271437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004986009,0.00006136922,0.0001441369,0.00005509757,0.00002487793,0.00001586325,0.0001524837,0.00001226261,0.00003070547],"category_scores_gemma":[0.00009272635,0.00004334068,0.00003448315,0.00005497034,0.00006757868,0.0001455905,0.00008222207,0.00008181792,5.589194e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828015,"about_ca_system_score_gemma":0.00009054357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2413363,"about_ca_topic_score_gemma":0.08207045,"domain_scores_codex":[0.9990965,0.0001948201,0.0003651092,0.00008418763,0.0001833554,0.0000760872],"domain_scores_gemma":[0.9992275,0.0002105688,0.0004552202,0.00003228827,0.00004265278,0.00003178111],"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":[0.003543709,0.00005352589,0.1401688,0.00004697439,0.0008821432,0.000007626633,0.02382476,0.7577462,0.005772369,0.001732833,0.002364122,0.06385693],"study_design_scores_gemma":[0.01763934,0.0009244923,0.3593492,0.0002252361,0.0003977112,0.0001578288,0.07602104,0.5053138,0.01219332,0.02145126,0.005837998,0.0004888047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801969,0.00005228208,0.01375638,0.005415384,0.0004053802,0.0001471492,0.000008626736,0.000001077926,0.00001684785],"genre_scores_gemma":[0.9865165,0.0002393987,0.01293983,0.0002221027,0.00006510448,0.000003815863,0.000006180559,0.000004396439,0.000002720027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2524325,"threshold_uncertainty_score":0.9346794,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3027045633","doi":"10.1016/j.ijdrr.2020.101681","title":"The role of tacit knowledge in communication and decision-making during emerging public health incidents","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network; University of Toronto; Public Health Ontario","funders":"","keywords":"Tacit knowledge; Credibility; Knowledge management; Context (archaeology); Discretion; Public relations; Public health; Explicit knowledge; Health communication; Health care; Process (computing); Grounded theory; Business; Qualitative research; Psychology; Sociology; Medicine; Political science; Computer science; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.02558164381949338,"gpt":0.36505955050918,"spread":0.3394779066896866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107174,0.00004659251,0.00009107053,0.0001482224,0.0002355531,0.0001235104,0.0003278927,0.00002138562,0.00002682107],"category_scores_gemma":[0.0002734966,0.00003846455,0.00004488903,0.000157404,0.00009588862,0.0005240428,0.0001003977,0.0001513674,0.000002680195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866745,"about_ca_system_score_gemma":0.00007123672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002268771,"about_ca_topic_score_gemma":0.0006242996,"domain_scores_codex":[0.9987403,0.0002564204,0.0004396969,0.00007285485,0.0003934002,0.00009738588],"domain_scores_gemma":[0.9990076,0.00007477368,0.0005542507,0.00006141617,0.000234598,0.00006731638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009639706,0.0000722391,0.01791561,0.000004635665,0.0000497286,6.54797e-7,0.1576949,0.0001871992,0.0001993269,0.002602835,0.0001604432,0.8210161],"study_design_scores_gemma":[0.001687159,0.0001359569,0.2327657,0.0006309216,0.00002476663,0.00003229696,0.6444076,0.002110315,0.00006571104,0.02086562,0.09706531,0.0002086736],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900099,0.001084846,0.001036785,0.006618371,0.0003935677,0.00008084804,0.000001233651,0.000005233328,0.0007692043],"genre_scores_gemma":[0.992727,0.00647961,0.0005204786,0.00003006963,0.0002204795,0.000001693826,5.874743e-7,0.000004141777,0.00001596776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8208074,"threshold_uncertainty_score":0.1811708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313442997","doi":"10.1016/j.ijdrr.2022.103496","title":"Resource-based seismic resilience optimization of the blocked urban road network in emergency response phase considering uncertainties","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":42,"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","funders":"","keywords":"Resilience (materials science); Emergency response; Phase (matter); Computer science; Resource (disambiguation); Environmental science; Materials science; Chemistry; Computer network; Medical emergency","retraction":null,"screen_n_in":null,"score":{"opus":0.0061587094313815,"gpt":0.2396800087900713,"spread":0.2335212993586898,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008990052,0.000109261,0.0001740863,0.0002970846,0.0001201724,0.00002145713,0.0003807676,0.00003430992,0.0002468246],"category_scores_gemma":[0.0001819198,0.00009299896,0.0001671527,0.0004812748,0.00008137748,0.0001991685,0.00005226644,0.0003950401,3.573525e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966782,"about_ca_system_score_gemma":0.00008061525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004165608,"about_ca_topic_score_gemma":0.000008950597,"domain_scores_codex":[0.9980314,0.0004321184,0.000722858,0.0001150286,0.0005609,0.000137677],"domain_scores_gemma":[0.9991236,0.00006092873,0.0004455746,0.0001658198,0.000173231,0.00003087005],"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":[0.000811546,0.00005810815,0.005943387,0.000006682532,0.00007241995,0.00000372313,0.001389741,0.9854473,0.002278664,0.000007550492,0.0005315624,0.003449256],"study_design_scores_gemma":[0.001155725,0.0001578242,0.004983067,0.00008081266,0.0000701803,0.00009159166,0.003972768,0.9844884,0.003247996,0.0005201428,0.00108212,0.0001493671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717543,0.0002312502,0.02602334,0.0003958335,0.001445719,0.00008708873,0.00001323957,0.00001126228,0.00003800786],"genre_scores_gemma":[0.9990669,0.00005079055,0.0005930491,0.00001274707,0.0002239029,0.000006463481,0.000004419337,0.00001173909,0.00002997527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02731266,"threshold_uncertainty_score":0.3792388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3036488616","doi":"10.1016/j.ijdrr.2020.101708","title":"Analysing the socioeconomic and motivational factors affecting the willingness to pay for climate change adaptation in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"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":"Socioeconomic status; Contingent valuation; Willingness to pay; Agriculture; Climate change; Adaptation (eye); Environmental resource management; Business; Socioeconomics; Climate change adaptation; Public economics; Natural resource economics; Environmental economics; Economics; Geography; Environmental health; Psychology; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.1090036444871787,"gpt":0.2601506810266933,"spread":0.1511470365395146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006504552,0.00007935695,0.0001435349,0.00008928406,0.00009262677,0.00008849151,0.0001451623,0.00002974904,0.00003164647],"category_scores_gemma":[0.00009156459,0.00005494664,0.00008658515,0.00005137675,0.00002728822,0.0004786626,0.00003261814,0.0001265828,0.0000125747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015467,"about_ca_system_score_gemma":0.000005886319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000488273,"about_ca_topic_score_gemma":0.000008258085,"domain_scores_codex":[0.9991817,0.00002990489,0.0005035067,0.0001458211,0.00004672975,0.00009229426],"domain_scores_gemma":[0.9991323,0.00009386805,0.0006618847,0.00004732788,0.0000301321,0.00003449764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009859747,0.00003083718,0.9145415,0.000008018014,0.0001198446,2.288834e-7,0.02776105,0.04530814,0.0001163314,0.00198739,0.00003973941,0.009988324],"study_design_scores_gemma":[0.000553065,0.00008347924,0.9429199,0.0000203375,0.00002113869,0.000008529866,0.01020203,0.0420084,0.0000904125,0.003670841,0.0003226078,0.00009926367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804224,0.0001184924,0.01112517,0.007441113,0.0006175079,0.0002029911,0.0000453973,0.000002673666,0.00002424779],"genre_scores_gemma":[0.9985005,0.0001805484,0.0003564212,0.0002247681,0.0006985852,0.00001178412,0.00001205845,0.00001023936,0.000005083888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02837839,"threshold_uncertainty_score":0.2240659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224275878","doi":"10.1016/j.ijdrr.2022.102974","title":"Urban resilience operationalization issues in climate risk management: A review","year":2022,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Operationalization; Multitude; Resilience (materials science); Context (archaeology); Risk analysis (engineering); Conceptual framework; Toolbox; Vagueness; Process management; Management science; Computer science; Business; Engineering; Sociology; Political science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02757975223987025,"gpt":0.3859997113822395,"spread":0.3584199591423693,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002572548,0.0002905585,0.0007707781,0.0008645944,0.0003348042,0.0002866375,0.00123648,0.0001037964,0.001003681],"category_scores_gemma":[0.0003647137,0.0002541537,0.0004620117,0.0008446538,0.000179139,0.001135641,0.0002665881,0.0006177095,0.00004400841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000664979,"about_ca_system_score_gemma":0.0001904092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002097303,"about_ca_topic_score_gemma":0.0001113218,"domain_scores_codex":[0.994387,0.001588894,0.001518828,0.0004113972,0.001788477,0.0003054194],"domain_scores_gemma":[0.9968604,0.0001037515,0.002447118,0.0002545319,0.0002408268,0.00009335297],"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":[0.00002342996,0.0001899698,0.0002647374,0.002178031,0.0002643354,0.0000821858,0.002599643,0.0001129246,3.535705e-8,0.003165038,0.01242228,0.9786974],"study_design_scores_gemma":[0.0001752165,0.00004122668,0.00002591858,0.01474796,0.0005918598,0.00005940586,0.003492673,0.000006694615,5.26376e-8,0.0004616883,0.9801644,0.0002328911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003361021,0.9836056,0.0001219026,0.0002894383,0.004189526,0.000813986,0.0000391901,0.00002022479,0.01088658],"genre_scores_gemma":[0.00006896444,0.9961028,0.0002964201,0.00004600989,0.001122801,0.00007219628,0.00007930698,0.00002892644,0.002182632],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9784645,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396520564","doi":"10.1016/j.ijdrr.2024.104519","title":"A novel framework for urban flood resilience assessment at the urban agglomeration scale","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Jiangsu Office of Philosophy and Social Science","keywords":"Urban agglomeration; Flood myth; Urbanization; Resilience (materials science); Urban resilience; TOPSIS; Psychological resilience; Scale (ratio); Environmental resource management; Geography; Environmental science; Civil engineering; Economic geography; Urban planning; Engineering; Economic growth; Economics; Cartography; Operations research","retraction":null,"screen_n_in":null,"score":{"opus":0.00868955863413548,"gpt":0.2958391155677048,"spread":0.2871495569335694,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006289816,0.0001321913,0.0001102454,0.00009351548,0.0001753301,0.0002719169,0.0003966708,0.00005083294,0.0004097331],"category_scores_gemma":[0.00004192571,0.00008936987,0.0001746368,0.0001562064,0.0001171345,0.0006878636,0.0001575933,0.0002529063,0.00005578457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005931968,"about_ca_system_score_gemma":0.00002917764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006381083,"about_ca_topic_score_gemma":0.00005568323,"domain_scores_codex":[0.9983374,0.00005453144,0.0004188099,0.0002417381,0.0007879277,0.0001595266],"domain_scores_gemma":[0.9993294,0.00009101691,0.0003012885,0.0001570598,0.00006222371,0.00005894591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001149012,0.002025639,0.07446782,0.00009537576,0.001969286,0.0000415603,0.02068463,0.07286274,0.1276647,0.02778364,0.3365515,0.3347041],"study_design_scores_gemma":[0.004639059,0.002350767,0.1914061,0.001371904,0.001559615,0.001185434,0.01143077,0.0948528,0.02390816,0.05866854,0.6070704,0.00155643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5641391,0.0002435093,0.4231033,0.004654778,0.006211874,0.0003597529,0.00003209651,0.00002544108,0.001230113],"genre_scores_gemma":[0.9754258,0.0002125752,0.02071949,0.00008019012,0.001462169,0.00003512263,0.00001468716,0.00001832732,0.002031649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4112867,"threshold_uncertainty_score":0.448629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127551607","doi":"10.1016/j.ijdrr.2021.102063","title":"Transformative learning and community resilience to cyclones and storm surges: The case of coastal communities in Bangladesh","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transformative learning; Community resilience; Experiential learning; Social learning; Sociology; Resilience (materials science); Environmental resource management; Psychology; Engineering; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.01789927997309788,"gpt":0.314456278610766,"spread":0.2965569986376681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382675,0.00005699622,0.0001085591,0.0001315988,0.000345261,0.0001036579,0.0001792855,0.00002369598,0.00002111901],"category_scores_gemma":[0.0002022451,0.00004378808,0.0000323596,0.0001475499,0.0004121627,0.0005269526,0.00008622955,0.0003683257,2.593004e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003330499,"about_ca_system_score_gemma":0.00004264508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005535578,"about_ca_topic_score_gemma":0.02934667,"domain_scores_codex":[0.9982837,0.001057849,0.0002772208,0.00004569901,0.0002476916,0.00008778931],"domain_scores_gemma":[0.9991305,0.000296249,0.0002078282,0.00005414223,0.0002665402,0.0000446775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001786055,0.0001757899,0.08097999,0.00001860017,0.00008464455,0.00008998498,0.8188577,0.0005579907,0.0003729777,0.001733768,0.00006427293,0.09688564],"study_design_scores_gemma":[0.0002968433,0.000104969,0.02204996,0.000150623,0.00001870156,0.0004035192,0.9742082,0.00005459398,0.0001532875,0.0007384112,0.001762324,0.00005854337],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967206,0.0001780168,0.0002617495,0.001184786,0.000305872,0.00006345643,0.000006861503,0.000002840737,0.001275808],"genre_scores_gemma":[0.9985664,0.001107749,0.00009406603,0.00001557627,0.00006448186,0.000001442209,0.000001613442,0.00000277161,0.0001459373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553505,"threshold_uncertainty_score":0.9883652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385273622","doi":"10.1016/j.ijdrr.2023.103891","title":"Farmers’ perceptions of severe climate risks and adaptation interventions in indigenous communities in northern Ghana","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Adelaide; Ministry of Agriculture and Food","keywords":"Indigenous; Psychological intervention; Climate change; Adaptation (eye); Environmental planning; Perception; Climate change adaptation; Geography; Environmental resource management; Environmental protection; Environmental science; Psychology; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.09051383740013008,"gpt":0.3198822165960226,"spread":0.2293683791958925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004631209,0.00009012017,0.0001582511,0.000185306,0.00005771007,0.00004919854,0.000172526,0.00006286789,0.00007320317],"category_scores_gemma":[0.00006784265,0.00004398241,0.0001087164,0.0003442544,0.00005682008,0.0003606169,0.00006217711,0.0002241938,0.000006220756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040149,"about_ca_system_score_gemma":0.000008792934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002031026,"about_ca_topic_score_gemma":0.05008283,"domain_scores_codex":[0.9988235,0.0001590979,0.0005485383,0.00008077162,0.0002467719,0.0001413143],"domain_scores_gemma":[0.9991171,0.0001071757,0.0004810595,0.00002959991,0.0002230088,0.00004206751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000169772,0.0003357856,0.7734443,0.00002913739,0.00006376529,0.00001146976,0.04313879,0.001924445,0.009683892,0.00001401658,0.00004783826,0.1711368],"study_design_scores_gemma":[0.0003003358,0.0001588216,0.8385934,0.0003205965,0.00001527,0.0001085132,0.1599856,0.0001001381,0.00002757611,0.0002862606,0.00003303878,0.00007038112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985884,0.0001345637,0.000004059291,0.0006309125,0.0003235989,0.0001112127,0.0001558505,0.00001041384,0.0000409912],"genre_scores_gemma":[0.9971813,0.002485196,0.00004584848,0.000007408433,0.0001400787,0.000004969669,0.0001159076,0.000001452809,0.00001785464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1710664,"threshold_uncertainty_score":0.9672507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3181582991","doi":"10.1016/j.ijdrr.2021.102459","title":"Managing city-scale slow-onset disasters: Learning from Cape Town's 2015–2018 drought disaster planning","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Department for International Development; AXA Research Fund; Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Environmental planning; Emergency management; Resilience (materials science); Government (linguistics); Scale (ratio); Disaster risk reduction; Psychological resilience; Business; Risk management; Environmental resource management; Urban planning; Plan (archaeology); Geography; Engineering; Political science; Civil engineering; Cartography; Environmental science; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01267705935191937,"gpt":0.2685680978010554,"spread":0.2558910384491361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003834859,0.0002322649,0.0002525292,0.0001243614,0.0001631396,0.0003025574,0.0004596137,0.00007742094,0.002226999],"category_scores_gemma":[0.000051558,0.0002116159,0.000210986,0.0001569276,0.0001185509,0.001334711,0.0004125431,0.0005275285,0.0001539488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598217,"about_ca_system_score_gemma":0.00002159037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003068841,"about_ca_topic_score_gemma":0.00006522557,"domain_scores_codex":[0.9975036,0.0002157073,0.0006238928,0.0003820359,0.000994203,0.0002806057],"domain_scores_gemma":[0.9988427,0.0000638774,0.0006591135,0.0002145216,0.00008038459,0.0001393648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008014166,0.001019659,0.6827943,0.00001971124,0.001485456,0.0005883016,0.03514519,0.09710489,0.01405893,0.00003577293,0.0593238,0.1076226],"study_design_scores_gemma":[0.0105865,0.001132392,0.4758599,0.001922085,0.001752506,0.002214167,0.183904,0.02559526,0.01824906,0.01751296,0.2582975,0.002973609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654469,0.0002067249,0.02346021,0.001991774,0.00403409,0.00009022383,0.00001576253,0.00002674406,0.004727495],"genre_scores_gemma":[0.9906014,0.000302776,0.003939607,0.0001110945,0.001072663,0.000005378572,0.00006901408,0.00002791285,0.003870201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2069344,"threshold_uncertainty_score":0.9986851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209385989","doi":"10.1016/j.ijdrr.2021.102658","title":"Long-term effects of disaster exposure on health care workers’ resilience: A comparison of the Wenchuan earthquake-exposed and unexposed groups","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Hong Kong Polytechnic University; Federation for the Humanities and Social Sciences","keywords":"Resilience (materials science); Term (time); Environmental health; Occupational safety and health; Occupational exposure; Medical emergency; Psychology; Forensic engineering; Medicine; Engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02865673000936794,"gpt":0.3730862150083449,"spread":0.344429484998977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003140887,0.000182202,0.0004294973,0.000231634,0.00008187121,0.00005373529,0.0004713508,0.0001007701,0.0001099779],"category_scores_gemma":[0.0002220112,0.0001358843,0.0002205511,0.0002426418,0.0002739307,0.0001760801,0.0001067732,0.0005015201,0.000004751123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181533,"about_ca_system_score_gemma":0.0001521638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000664121,"about_ca_topic_score_gemma":0.00008990466,"domain_scores_codex":[0.9966444,0.0008075706,0.0009938665,0.0002699553,0.001050085,0.0002340881],"domain_scores_gemma":[0.9974088,0.0002864464,0.001248469,0.0003809416,0.0005627964,0.0001125509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001348693,0.001375273,0.7428528,0.0002598274,0.0007305145,0.00003438069,0.09369531,0.0001645371,0.004733613,0.0003002235,0.0007220582,0.1537828],"study_design_scores_gemma":[0.002899342,0.001207833,0.9479183,0.001284968,0.0000647797,0.0002007962,0.03612177,0.000009718293,0.009958165,0.0001883935,0.00003497429,0.0001109911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917695,0.003763411,0.0002624922,0.0008942898,0.002652365,0.0003054505,0.00004426448,0.00000572457,0.0003025086],"genre_scores_gemma":[0.9993172,0.0001218327,0.000115084,0.00003217714,0.0002266062,0.000008693084,0.0000133328,0.00002029742,0.0001448346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050655,"threshold_uncertainty_score":0.5541201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3162909844","doi":"10.1016/j.ijdrr.2021.102325","title":"Canadian health emergency management professionals’ perspectives on the prevalence and effectiveness of disaster preparedness activities in response to COVID-19","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Response and Management","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Alberta Health; Alberta Health Services","funders":"University of Sheffield","keywords":"Preparedness; Emergency management; Pandemic; Health care; Exploratory research; Medical emergency; Occupational safety and health; Business; Medicine; Emergency response; Coronavirus disease 2019 (COVID-19); Public relations; Political science; Disease; Infectious disease (medical specialty)","retraction":null,"screen_n_in":null,"score":{"opus":0.03138451049232045,"gpt":0.417435351957085,"spread":0.3860508414647645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003654267,0.0001657316,0.0002741079,0.0006199215,0.0002430383,0.00002420831,0.0003274113,0.00005678807,0.0003586494],"category_scores_gemma":[0.0007343316,0.0001229562,0.00009158117,0.0002785406,0.00005362154,0.000281019,0.0001957572,0.0003720782,0.000009190611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786638,"about_ca_system_score_gemma":0.0009976751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578243,"about_ca_topic_score_gemma":0.004211603,"domain_scores_codex":[0.9939969,0.004066785,0.0007382833,0.000305385,0.0006105239,0.0002821437],"domain_scores_gemma":[0.9979123,0.0006136805,0.0005957874,0.000262991,0.0003373852,0.0002778866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.03696513,0.001816396,0.06105869,0.002615029,0.001297172,0.0002318208,0.8550411,0.001152577,0.001847008,0.01461912,0.01450083,0.008855127],"study_design_scores_gemma":[0.002280429,0.0005882623,0.2719044,0.004005267,0.00007804008,0.000071602,0.7077848,0.00001760357,0.0001321689,0.002674248,0.0101962,0.0002669242],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819738,0.0003758312,0.0005235865,0.01350104,0.001943024,0.0008983921,0.00009883664,0.000006841919,0.0006786053],"genre_scores_gemma":[0.9953296,0.0007732197,0.00009427012,0.0004646811,0.0001503711,0.0001100145,0.000005137536,0.00001715322,0.003055565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2108458,"threshold_uncertainty_score":0.5014008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226268434","doi":"10.1016/j.ijdrr.2022.102999","title":"The influence of international agreements on disaster risk reduction","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Brock University","funders":"Australian Research Council; Australian Government","keywords":"Disaster risk reduction; Risk management; Government (linguistics); Delphi method; Risk governance; Corporate governance; Emergency management; Flood risk management; Environmental planning; Flood myth; Business; Risk assessment; Environmental resource management; Political science; Risk analysis (engineering); Public administration; Economics; Geography; Finance; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.005313437269958031,"gpt":0.2478084994256265,"spread":0.2424950621556685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009267702,0.0001538604,0.0001386212,0.0001722906,0.000322118,0.00008919129,0.000943798,0.00002759066,0.0008150342],"category_scores_gemma":[0.00007852667,0.0001159848,0.0001773827,0.0001735429,0.0001765223,0.0006563488,0.0004629641,0.0004374663,0.00004781198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005758688,"about_ca_system_score_gemma":0.00002004506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000280408,"about_ca_topic_score_gemma":0.0000204891,"domain_scores_codex":[0.9968787,0.0002584355,0.0007002894,0.0002319517,0.001759095,0.0001715616],"domain_scores_gemma":[0.9980974,0.00005055729,0.001452566,0.0002247424,0.0001141787,0.00006056197],"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":[0.002438579,0.001513571,0.1073687,0.000005849306,0.001274697,0.00002175785,0.007282371,0.6542058,0.01287486,0.0007557764,0.02398813,0.1882699],"study_design_scores_gemma":[0.00624198,0.002953114,0.6697514,0.0001738579,0.0005498921,0.0007176298,0.03143362,0.004405514,0.005391967,0.0126187,0.2648605,0.0009018072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990409,0.00003628877,0.0004313445,0.001227367,0.005740138,0.0001824007,0.00003771399,0.000009217219,0.001926491],"genre_scores_gemma":[0.9972568,0.0006783626,0.0003638887,0.0000381778,0.0004564073,0.00002093213,0.00001246936,0.00001457519,0.001158438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6498002,"threshold_uncertainty_score":0.8924053,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210344040","doi":"10.1016/j.ijdrr.2022.102840","title":"Gendered experience of disaster: Women's account of evacuation, relief and recovery in Nepal","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Nuffic; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; McGill University","keywords":"Ethnic group; Citizenship; Neighbourhood (mathematics); Debt; Ethnography; Sociology; Gender studies; Emergency management; Caste; Political science; Business; Law; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.0118068553842948,"gpt":0.2927570259480595,"spread":0.2809501705637647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008800001,0.00008220122,0.0001845027,0.0003539356,0.0001056819,0.00004982337,0.0004326953,0.0000290493,0.0003143388],"category_scores_gemma":[0.0001497333,0.00007903946,0.00007177043,0.0002563081,0.0002380819,0.0007967976,0.0001423839,0.0001574889,7.849256e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611251,"about_ca_system_score_gemma":0.0001012446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002678915,"about_ca_topic_score_gemma":0.00003916931,"domain_scores_codex":[0.9977774,0.0002672375,0.0006144335,0.0001475874,0.001045468,0.0001478862],"domain_scores_gemma":[0.9986736,0.00005485584,0.0008688695,0.00009268831,0.0002566318,0.00005333291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002080119,0.001409913,0.1001954,0.000051048,0.0003690094,0.0000176322,0.7455676,0.004036483,0.01340443,0.004103166,0.0008690011,0.1278962],"study_design_scores_gemma":[0.001752868,0.0007293837,0.05855205,0.0001642866,0.00005712846,0.00003294564,0.9199824,0.0002985387,0.0008469194,0.009968335,0.007336377,0.0002788178],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959034,0.0001611829,0.0001445833,0.0003739049,0.001700578,0.0001215682,0.00001488124,0.000003773618,0.001576068],"genre_scores_gemma":[0.9985095,0.0005732274,0.0001906359,0.00001749501,0.0002137394,0.00001292265,0.000002513069,0.000006081381,0.0004738817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1744148,"threshold_uncertainty_score":0.3441789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3091991390","doi":"10.1016/j.ijdrr.2020.101914","title":"Determinants of income diversification in flood-prone rural Pakistan","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Livelihood; Diversification (marketing strategy); Poverty; Population; Economics; Socioeconomics; Human capital; Development economics; Economic growth; Agriculture; Geography; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.01380224318346343,"gpt":0.2592061277555147,"spread":0.2454038845720513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355976,0.00007713684,0.0001441174,0.00002470407,0.00003280618,0.00002584085,0.0003210906,0.0000450743,0.00005775745],"category_scores_gemma":[0.00005690119,0.00002956944,0.00009385339,0.0001807219,0.00005071586,0.0003687474,0.00004662945,0.0001380919,0.000007181183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000440052,"about_ca_system_score_gemma":0.000007598057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676901,"about_ca_topic_score_gemma":0.00007381172,"domain_scores_codex":[0.9989334,0.00006514543,0.0004560068,0.00009769277,0.0003598629,0.00008794072],"domain_scores_gemma":[0.9991026,0.00003147877,0.0005492981,0.00001959879,0.000230496,0.00006652954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003723988,0.0001220365,0.6599032,0.00000542501,0.00002414609,0.000008152955,0.001768813,0.0002874498,0.1968748,0.00002357512,0.00006359848,0.1405464],"study_design_scores_gemma":[0.0002917799,0.0002818774,0.982207,0.00006979518,0.00001265492,0.00005635303,0.005650953,0.0001475462,0.01086939,0.000150501,0.0001844869,0.00007768444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984512,0.00008960228,0.00001710777,0.0008879146,0.0004162796,0.00006513401,0.00002046595,0.00000487392,0.00004745626],"genre_scores_gemma":[0.9991167,0.0002764456,0.00007968351,0.00001367098,0.0004864702,8.590236e-7,0.00000699091,5.399182e-7,0.00001865654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3223037,"threshold_uncertainty_score":0.1205807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401619360","doi":"10.1016/j.ijdrr.2024.104764","title":"Assessing the multidimensional nature of flood and drought vulnerability index: A systematic review of literature","year":2024,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"Global Institute for Water Security, University of Saskatchewan; Canada First Research Excellence Fund; University of Saskatchewan","keywords":"Vulnerability (computing); Flood myth; Index (typography); Environmental science; Environmental planning; Geography; Computer science; Archaeology; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.01149447391242235,"gpt":0.343393075960678,"spread":0.3318986020482557,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001860258,0.0002564236,0.001337957,0.0001811643,0.00005144405,0.0000597019,0.0004449916,0.0002981589,0.0001137506],"category_scores_gemma":[0.000502,0.0001322272,0.0007637872,0.000414761,0.0002606485,0.0004796247,0.0001894695,0.001287924,0.00000868151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420029,"about_ca_system_score_gemma":0.00006116697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001457789,"about_ca_topic_score_gemma":0.00000323692,"domain_scores_codex":[0.9963949,0.0008404169,0.001577939,0.0002545569,0.0008330607,0.0000990814],"domain_scores_gemma":[0.9967875,0.0002191005,0.002497675,0.0002599399,0.0001872023,0.0000485844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000550426,0.0005181326,0.0005725677,0.8777999,0.006733753,0.00007782377,0.002313708,0.0001727479,0.00004013865,0.000185437,0.001592048,0.1099387],"study_design_scores_gemma":[0.0002464825,0.00008831121,0.0001377844,0.9645309,0.01426061,0.003654674,0.0002577298,0.0002459641,0.00001550008,0.001064906,0.01521419,0.00028293],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00351464,0.9947584,0.0001002109,0.000198947,0.0009761491,0.000321109,0.00004332168,0.000003345298,0.00008386171],"genre_scores_gemma":[0.01955381,0.9797799,0.0002638308,0.00003203732,0.0002427185,0.00001058779,0.00002255005,0.0000148567,0.00007973414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1096558,"threshold_uncertainty_score":0.5595461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401797947","doi":"10.1016/j.ijdrr.2024.104770","title":"An integrated urban flooding risk analysis framework leveraging machine learning models: A case study of Xi'an, China","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"China; Flooding (psychology); Computer science; Engineering; Risk analysis (engineering); Business; Geography; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01775724339549603,"gpt":0.2935297288391285,"spread":0.2757724854436325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009938991,0.0001895392,0.0002607532,0.000576927,0.0001413688,0.0002581291,0.0003805363,0.00005343996,0.0003190824],"category_scores_gemma":[0.00003945899,0.0001531792,0.0001971918,0.000640395,0.00005204374,0.001757442,0.0001160244,0.0007091829,0.000006002127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795985,"about_ca_system_score_gemma":0.00001562047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007423071,"about_ca_topic_score_gemma":0.0005030206,"domain_scores_codex":[0.997622,0.0004209475,0.0006623269,0.0003336403,0.000805091,0.0001559939],"domain_scores_gemma":[0.9990044,0.00003837069,0.0005771552,0.0001964087,0.0000745988,0.0001091193],"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":[0.0001084235,0.0008330238,0.1187656,0.000004797071,0.001831066,0.0003834677,0.02723406,0.8075905,0.0003191619,0.00005454815,0.00003819862,0.04283721],"study_design_scores_gemma":[0.0005791857,0.0009165358,0.00950239,0.00008106972,0.001894068,0.0005555889,0.04842272,0.9359514,0.000137831,0.001570502,0.0001634603,0.0002253197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8409532,0.0001209004,0.1577182,0.00003777519,0.0009048443,0.0001203778,0.00001257166,0.00003211301,0.00009998987],"genre_scores_gemma":[0.9933386,0.0002026334,0.006035955,0.000004202979,0.0003071346,0.000004821929,0.0000189862,0.00002233805,0.00006528237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1523854,"threshold_uncertainty_score":0.9991866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3145573337","doi":"10.1016/j.ijdrr.2021.102219","title":"Maladaptation, fragmentation, and other secondary effects of centralized post-disaster urban planning: The case of the 2011 “cascading” disaster in Japan","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Japan Science and Technology Agency; Japan Society for the Promotion of Science","keywords":"Maladaptation; Environmental planning; Urban planning; Urban sprawl; Urbanization; Geography; Environmental resource management; Business; Land-use planning; Fragmentation (computing); Land use; Economic growth; Civil engineering; Engineering; Environmental science; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.00882647025419899,"gpt":0.2860528383157739,"spread":0.277226368061575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005118251,0.0001138073,0.0001775559,0.0001462481,0.0001303087,0.00009682596,0.000331081,0.00005452747,0.0001637058],"category_scores_gemma":[0.0001836475,0.00007388376,0.000129579,0.0001815693,0.0003931164,0.0005494762,0.00008449813,0.0002003959,0.000001820663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006184851,"about_ca_system_score_gemma":0.0001146985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005507466,"about_ca_topic_score_gemma":0.0003733237,"domain_scores_codex":[0.998139,0.0004937093,0.0005768649,0.0001529493,0.0004865542,0.0001508854],"domain_scores_gemma":[0.9984655,0.0001709494,0.0007733575,0.0001383745,0.0003995418,0.00005227443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006084038,0.0006654672,0.2968559,0.0001529832,0.0007142868,0.0001892389,0.6478767,0.0008178122,0.008522528,0.008058252,0.003349637,0.03218884],"study_design_scores_gemma":[0.005018215,0.0002904015,0.3534143,0.001192956,0.000430116,0.001140978,0.6170391,0.000242003,0.006713408,0.005702666,0.008400538,0.0004153321],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942194,0.0004699562,0.0001909802,0.001567222,0.001911515,0.0002088629,0.00001456323,0.000003298887,0.001414171],"genre_scores_gemma":[0.9983613,0.00008650075,0.0001100094,0.0001165257,0.0002854132,0.000004093321,0.000002218716,0.000009869308,0.001024108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05655836,"threshold_uncertainty_score":0.3012892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4310967519","doi":"10.1016/j.ijdrr.2022.103472","title":"The impact of paid social Q&amp;A on panic buying and digital hoarding at the stage of coexistence with COVID-19: The moderating role of sensitivity to pain of payment","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Saint Mary's University","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences","keywords":"Hoarding (animal behavior); Payment; Panic; Psychology; Phenomenon; Service (business); Business; Value (mathematics); Coronavirus disease 2019 (COVID-19); Social psychology; Marketing; Advertising; Psychiatry; Medicine; Anxiety","retraction":null,"screen_n_in":null,"score":{"opus":0.02530450995538977,"gpt":0.3352139303454321,"spread":0.3099094203900424,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003992907,0.00007097956,0.0001594667,0.00005068225,0.0005279639,0.00007220213,0.0001990164,0.00001848632,0.00001005219],"category_scores_gemma":[0.001963851,0.0000385341,0.0001393606,0.0001281164,0.0004004432,0.0001673125,0.0001011106,0.00016124,7.562256e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932692,"about_ca_system_score_gemma":0.0002015349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014631,"about_ca_topic_score_gemma":0.0001995802,"domain_scores_codex":[0.9976193,0.0008945472,0.0003723745,0.00008346669,0.00092399,0.000106378],"domain_scores_gemma":[0.9972608,0.001335433,0.001002374,0.00006755376,0.0002815943,0.00005223231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005929159,0.0006285601,0.07120097,0.00004884871,0.001351828,0.000007350031,0.5586173,0.07773162,0.0202477,0.003628699,0.0005511581,0.2600569],"study_design_scores_gemma":[0.001499127,0.002102675,0.03058226,0.000335747,0.0001313384,0.00007542058,0.9536874,0.001747505,0.001989655,0.004914708,0.002618266,0.0003158829],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970541,0.00004632698,0.0003377105,0.001489239,0.0001848106,0.000134094,0.0001159769,0.000002447988,0.0006353116],"genre_scores_gemma":[0.9996536,0.0000254183,0.00002199458,0.00001877462,0.0001616198,0.000003362484,0.000001721804,0.000005468835,0.0001080806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3950702,"threshold_uncertainty_score":0.4060725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094070088","doi":"10.1016/j.ijdrr.2020.101925","title":"The roles of emergency managers and emergency social services directors to support disaster risk reduction in Canada","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Government (linguistics); Disaster risk reduction; Public relations; Preparedness; Context (archaeology); Emergency management; Business; Risk management; Service (business); Psychology; Political science; Marketing; Geography; Finance; Environmental planning","retraction":null,"screen_n_in":null,"score":{"opus":0.01255201001942266,"gpt":0.284999439443019,"spread":0.2724474294235964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005205604,0.000128784,0.0001768891,0.0001344704,0.000255111,0.00006847915,0.0005337685,0.00003810069,0.0001462577],"category_scores_gemma":[0.00007434704,0.0001015661,0.0001011094,0.000326527,0.00009160588,0.0006031052,0.0001002744,0.0001917828,0.000003932405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054921,"about_ca_system_score_gemma":0.0001523773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1195093,"about_ca_topic_score_gemma":0.4375678,"domain_scores_codex":[0.9977365,0.0002515827,0.0007064785,0.0001998639,0.0008927944,0.0002127799],"domain_scores_gemma":[0.9987251,0.00002162821,0.000786407,0.00007228438,0.0002597514,0.0001348905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009466137,0.0001699872,0.4067562,0.00007731759,0.0005817945,0.00001838047,0.2833254,0.001319535,0.0011478,0.001075542,0.01254207,0.2920393],"study_design_scores_gemma":[0.00095903,0.0002976694,0.2974031,0.0001299936,0.0002416752,0.00001268984,0.6519955,0.0002559178,0.0002679493,0.002335992,0.04562585,0.000474582],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882988,0.0001842527,0.00009024774,0.004970094,0.004520521,0.0001614608,0.00002070535,0.000006356003,0.001747557],"genre_scores_gemma":[0.9960074,0.00241197,0.00003757364,0.00002114777,0.001107965,0.000004234733,0.000003232431,0.00001007306,0.0003963688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3686702,"threshold_uncertainty_score":0.886354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214852520","doi":"10.1016/j.ijdrr.2022.102884","title":"Interpretable data-driven model for Climate-Induced Disaster damage prediction: The first step in community resilience planning","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Damages; Community resilience; Computer science; Random forest; Resilience (materials science); Hazard; Interpretability; Psychological resilience; Climate change; Environmental resource management; Machine learning; Environmental science; Resource (disambiguation)","retraction":null,"screen_n_in":null,"score":{"opus":0.05522892545790427,"gpt":0.3523461354311864,"spread":0.2971172099732822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002745153,0.0001248515,0.000167231,0.0002318574,0.001254288,0.0002644454,0.002363957,0.00003920376,0.00006611564],"category_scores_gemma":[0.000207246,0.0001011984,0.00009792581,0.0002390893,0.0002034197,0.001569574,0.0008075528,0.0006686054,0.000002055132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239462,"about_ca_system_score_gemma":0.00011191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003429736,"about_ca_topic_score_gemma":0.0007680989,"domain_scores_codex":[0.9974697,0.0005310653,0.0005886878,0.0002120161,0.0009262101,0.0002722755],"domain_scores_gemma":[0.9985814,0.0001702353,0.0006164871,0.000377612,0.000194962,0.00005929713],"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":[0.001712051,0.0009821214,0.04673855,0.00004051029,0.0002768918,0.00001864407,0.29525,0.6209232,0.0002641165,0.001998981,0.01526462,0.01653031],"study_design_scores_gemma":[0.001792685,0.0003813644,0.01033169,0.0002578143,0.0001283986,0.00005094873,0.3936591,0.5656676,0.0000117421,0.002371415,0.02505843,0.0002888067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749455,0.00006486251,0.01454747,0.002884797,0.003622914,0.0004488537,0.0002066663,0.00002254442,0.003256367],"genre_scores_gemma":[0.998319,0.00006641031,0.0004205822,0.0001033045,0.0004967868,0.00003726143,0.00003640558,0.00001267681,0.0005075279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09840908,"threshold_uncertainty_score":0.9647098,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402084016","doi":"10.1016/j.ijdrr.2024.104801","title":"Climate change scenario simulations for urban flood resilience with system dynamics approach: A case study of smart city shanghai in Yangtze River Delta region","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":22,"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","funders":"National Natural Science Foundation of China","keywords":"Yangtze river; Flood myth; Resilience (materials science); Delta; Climate change; Megacity; Environmental science; Environmental resource management; Smart city; Psychological resilience; Water resource management; Civil engineering; Environmental planning; Geography; Hydrology (agriculture); Climatology; Physical geography; Computer science; Engineering; China; Internet of Things; Geology; Oceanography; Geotechnical engineering; Ecology; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.02395304002472708,"gpt":0.2770218049112604,"spread":0.2530687648865333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003720806,0.0001292471,0.0001653792,0.0002635585,0.00007137126,0.00007471833,0.0002169445,0.00003776217,0.000009511695],"category_scores_gemma":[0.00001081306,0.0001012994,0.00007253387,0.0002549597,0.00007582592,0.0008044477,0.0001038838,0.0001580911,0.00000164667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404965,"about_ca_system_score_gemma":0.00001301741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913381,"about_ca_topic_score_gemma":0.002681858,"domain_scores_codex":[0.9985656,0.00008462719,0.0004598246,0.0002449953,0.0004981028,0.000146901],"domain_scores_gemma":[0.999358,0.00003468884,0.0003528495,0.0001330236,0.00007373039,0.00004772129],"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":[0.001629663,0.003659122,0.7202801,0.000260364,0.0006420945,0.001414339,0.05567728,0.1567236,0.0001089702,0.001122482,0.0005002417,0.05798174],"study_design_scores_gemma":[0.003969435,0.002401455,0.06355582,0.0009152053,0.000604243,0.003807442,0.07871598,0.8451154,0.00006020984,0.0002353736,0.0002004206,0.0004190245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786401,0.00004123917,0.01967386,0.0001030417,0.0006794002,0.0006664805,0.00003554047,0.00001526799,0.0001450807],"genre_scores_gemma":[0.9980668,0.00003192284,0.001594393,0.000004446766,0.0001948333,0.00003517995,0.0000107992,0.00001464385,0.00004702633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6883917,"threshold_uncertainty_score":0.4130869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3183474108","doi":"10.1016/j.ijdrr.2021.102491","title":"Quantifying restoration time of pipelines after earthquakes: Comparison of Bayesian belief networks and fuzzy models","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":22,"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":"European Research Council","keywords":"Downtime; Bayesian network; Computer science; Resilience (materials science); Fuzzy logic; Contingency plan; Risk analysis (engineering); Reliability engineering; Engineering; Computer security; Artificial intelligence; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.0130710528362164,"gpt":0.2687959815977958,"spread":0.2557249287615794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002245582,0.000095175,0.0002609488,0.0001785171,0.00002272003,0.00003416553,0.00009380108,0.00007004385,0.00003849738],"category_scores_gemma":[0.00004209383,0.00008764933,0.000120315,0.0001391245,0.00005984251,0.0005001687,0.00001807401,0.0001930703,6.379717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003666873,"about_ca_system_score_gemma":0.00002144037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001343814,"about_ca_topic_score_gemma":0.00002237336,"domain_scores_codex":[0.9987378,0.00007787895,0.0006836081,0.00009432803,0.0003276684,0.00007878701],"domain_scores_gemma":[0.9989202,0.00003936656,0.0003410965,0.0000977637,0.0005632955,0.0000382718],"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":[0.000108962,0.00005274813,0.01193389,0.00003066544,0.0002103242,0.000002883486,0.00181966,0.9592051,0.00791923,0.00005241999,0.0000681845,0.01859595],"study_design_scores_gemma":[0.0004988657,0.0001041252,0.01500316,0.0003002958,0.0002111961,0.0001398489,0.002884211,0.9599974,0.01871666,0.001916021,0.00006180878,0.0001663952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8498669,0.001083234,0.148387,0.00005162611,0.000497747,0.00002870951,0.000008984106,0.000006035788,0.00006974895],"genre_scores_gemma":[0.9972764,0.000350492,0.001994414,0.000003285613,0.0003427293,9.823503e-7,0.00001013275,0.000009268711,0.00001234833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1474094,"threshold_uncertainty_score":0.3574236,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378189221","doi":"10.1016/j.ijdrr.2023.103771","title":"Quantifying the effects of nature-based solutions in reducing risks from hydrometeorological hazards: Examples from Europe","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"Horizon 2020; Bureau de Recherches Géologiques et Minières; Universidad Politécnica de Madrid; European Commission","keywords":"Hydrometeorology; Hazard; Vulnerability (computing); Context (archaeology); Disaster risk reduction; Risk analysis (engineering); Variety (cybernetics); Software deployment; Computer science; Risk assessment; Environmental resource management; Environmental planning; Business; Environmental science; Computer security; Ecology; Geography; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.034127242041461,"gpt":0.3053044288842874,"spread":0.2711771868428264,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161847,0.0001181926,0.0001697994,0.0001860946,0.00008062455,0.00005671206,0.0004798,0.00007047133,0.0001669425],"category_scores_gemma":[0.0003160185,0.00008140375,0.0001209567,0.0003451949,0.0001305451,0.0003121386,0.0001977083,0.00042794,0.0000352319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318686,"about_ca_system_score_gemma":0.00001808354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002996621,"about_ca_topic_score_gemma":0.0002184401,"domain_scores_codex":[0.9982117,0.0002867179,0.0004698758,0.0002065268,0.0006608173,0.0001643495],"domain_scores_gemma":[0.9988938,0.0003641511,0.0005000991,0.0001593009,0.00004228966,0.00004034069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007678136,0.001096906,0.3251273,0.00002358939,0.0008730054,0.0001863493,0.005469334,0.2444124,0.2814032,0.0003221883,0.008057351,0.1322605],"study_design_scores_gemma":[0.001324094,0.0002041761,0.9679804,0.0002298304,0.0001418646,0.000008185665,0.001040753,0.01421348,0.01020206,0.002823483,0.001667142,0.000164478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941579,0.0001943855,0.001825996,0.001022772,0.002469315,0.0001369485,0.00002706953,0.0000166763,0.0001489905],"genre_scores_gemma":[0.9980184,0.0004505073,0.001136601,0.00003619238,0.0002870467,0.000007157928,0.00002778456,0.00001088806,0.00002545522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6428531,"threshold_uncertainty_score":0.4530014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3038296592","doi":"10.1016/j.ijdrr.2020.101730","title":"Expressive writing for wildfire-affected pregnant women: Themes of challenge and resilience","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Resilience and Mental Health","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Thematic analysis; Psychology; Psychological resilience; Developmental psychology; Intervention (counseling); Qualitative research; Social psychology; Sociology; Psychiatry; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.0237778645059696,"gpt":0.3604884354419432,"spread":0.3367105709359736,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001829253,0.00008074435,0.0001624779,0.00008039799,0.00003912132,0.00001904883,0.0001831097,0.00004144617,0.00003818449],"category_scores_gemma":[0.00008951866,0.00006580778,0.00006258734,0.0000521262,0.0000848833,0.0002711518,0.00002820111,0.0001300097,0.000002053559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000499378,"about_ca_system_score_gemma":0.00003129758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001478248,"about_ca_topic_score_gemma":7.875927e-7,"domain_scores_codex":[0.9989479,0.00008195266,0.00042677,0.000151772,0.0002546881,0.0001369109],"domain_scores_gemma":[0.9989745,0.00006655081,0.0006429104,0.00006281844,0.0001516313,0.0001015705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003939339,0.0007533917,0.008156951,0.0001236011,0.0004714179,0.00002743015,0.1877135,0.00008060513,0.04162292,0.001167118,0.001272909,0.7546708],"study_design_scores_gemma":[0.01908791,0.02094552,0.1486955,0.004401174,0.0003054245,0.00254291,0.7263731,0.001308762,0.05875212,0.01200664,0.004488068,0.00109286],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953002,0.001150193,0.001270536,0.0009099059,0.0008629907,0.0001786619,0.00002003083,0.000005895913,0.0003015761],"genre_scores_gemma":[0.998448,0.0004426333,0.000387489,0.00005595329,0.0005865793,0.00001720591,0.000001995313,0.000008693441,0.00005151463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7535779,"threshold_uncertainty_score":0.2683564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281739699","doi":"10.1016/j.ijdrr.2022.103078","title":"Spatiotemporal disparities in regional public risk perception of COVID-19 using Bayesian Spatiotemporally Varying Coefficients (STVC) series models across Chinese cities","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Health Commission of Sichuan Province; Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China; Michigan State University; King Abdullah University of Science and Technology; Chengdu Federation of Social Science Association; Daqing Science and Technology Bureau","keywords":"Bayesian probability; Outlier; Geography; Public health; Socioeconomic status; Pandemic; Econometrics; Population; Coronavirus disease 2019 (COVID-19); Environmental health; Computer science; Medicine; Economics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1852777122655509,"gpt":0.4227827090243811,"spread":0.2375049967588302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002658496,0.0002759432,0.0005918446,0.0005072582,0.0004584126,0.00009872237,0.0005518913,0.0000948813,0.0001406672],"category_scores_gemma":[0.002886143,0.0002414065,0.0003134761,0.0003756173,0.0003384565,0.001228399,0.0003971756,0.0006647893,5.815323e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374576,"about_ca_system_score_gemma":0.0002723837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707898,"about_ca_topic_score_gemma":0.0002636877,"domain_scores_codex":[0.9954861,0.0009781379,0.001593036,0.0003288719,0.001304951,0.0003089071],"domain_scores_gemma":[0.9959393,0.0006033291,0.002543988,0.0002019064,0.0005743774,0.00013714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001754322,0.0009406792,0.62866,0.0001508068,0.0004814224,0.00003806829,0.0284115,0.331397,0.0004601374,0.002654668,0.0007181051,0.004333354],"study_design_scores_gemma":[0.005564468,0.001027309,0.1196413,0.0003415864,0.0002172429,0.001413997,0.06054015,0.1184559,0.00005349375,0.6906569,0.001058446,0.001029135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898661,0.0001998364,0.1053031,0.003042976,0.001052953,0.0002235659,0.0002590951,0.00002779297,0.00002457604],"genre_scores_gemma":[0.9925083,0.0003881422,0.006427023,0.0001212732,0.0004136325,0.00002109248,0.00004306702,0.00002883321,0.000048664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6880022,"threshold_uncertainty_score":0.9844272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406731633","doi":"10.1016/j.ijdrr.2025.105234","title":"Research gaps and challenges for impact-based forecasts and warnings: Results of international workshops for High Impact Weather in 2022","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Collège Montmorency; Environment and Climate Change Canada","funders":"Bundesministerium für Bildung und Forschung; Met Office; Environment and Climate Change Canada; University of Reading; University of Leeds","keywords":"Environmental science; Business; Engineering; Aeronautics","retraction":null,"screen_n_in":null,"score":{"opus":0.04207809956863836,"gpt":0.4119110456795624,"spread":0.369832946110924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002470835,0.00009429259,0.00017148,0.0007803593,0.000102353,0.0001224288,0.0003203733,0.00007273474,0.00001547054],"category_scores_gemma":[0.0006909707,0.00007536876,0.0001074592,0.000181427,0.0002533746,0.0004662584,0.00006047656,0.0001715679,2.606668e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002107086,"about_ca_system_score_gemma":0.0001400528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003672849,"about_ca_topic_score_gemma":0.0003205592,"domain_scores_codex":[0.9984709,0.0001768181,0.0004399582,0.0001894246,0.0005339583,0.0001889264],"domain_scores_gemma":[0.9983009,0.0004380555,0.0003873955,0.00007038296,0.0007459285,0.00005737166],"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":[0.01476764,0.0008651933,0.03155234,0.0001591264,0.001065604,0.000007029523,0.05822794,0.00231663,0.001498452,0.008902355,0.008616062,0.8720216],"study_design_scores_gemma":[0.03305746,0.004094355,0.4969705,0.004641353,0.0003391013,0.00004454436,0.2251939,0.01183052,0.001934266,0.1285452,0.09240776,0.0009409604],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874238,0.00144827,0.001060388,0.00733952,0.001209782,0.0003797599,0.00006353999,0.00000456733,0.001070426],"genre_scores_gemma":[0.9948105,0.00353715,0.0005101421,0.000009751339,0.0004128968,0.00001995166,0.000009730249,0.000007152393,0.0006826797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8710807,"threshold_uncertainty_score":0.3073449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4291470594","doi":"10.1016/j.ijdrr.2022.103222","title":"Normalized insured losses caused by windstorms in Quebec and Ontario, Canada, in the period 2008–2021","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Reduction","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Period (music); Climatology; History; Political science; Geology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.004647047381980092,"gpt":0.20162646156406,"spread":0.1969794141820799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003036454,0.00007856357,0.0001074769,0.00005987126,0.0001001772,0.00004244545,0.0002252447,0.00001407889,0.0009661108],"category_scores_gemma":[0.00002073673,0.00005736085,0.00003143572,0.0001054318,0.00006482153,0.0002924814,0.00009916573,0.0002943325,0.000001073196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027293,"about_ca_system_score_gemma":0.0001038545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9345422,"about_ca_topic_score_gemma":0.9850399,"domain_scores_codex":[0.9988002,0.000119745,0.000286576,0.0001067241,0.0005806307,0.0001061583],"domain_scores_gemma":[0.9996945,0.00002026257,0.0001909634,0.00005264876,0.00001480723,0.00002682744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002590218,0.0003140501,0.8965861,0.000001783223,0.00007555683,0.0001470474,0.04670115,0.005460546,0.001929912,0.000006088925,0.03565403,0.01286472],"study_design_scores_gemma":[0.00137931,0.00009673691,0.9151079,0.00001787964,0.00001427566,0.000274884,0.0222369,0.00004378406,0.0001496797,0.0001086627,0.06043946,0.0001304937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960113,0.0001681381,0.000005617542,0.002730829,0.0007091121,0.00006061948,0.00001980192,8.678276e-7,0.0002937433],"genre_scores_gemma":[0.9988351,0.00004020389,0.00001650987,0.00008908383,0.00009406904,0.000007148242,0.00000566354,0.000003960832,0.0009082998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05049774,"threshold_uncertainty_score":0.9999471,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}