{"meta":{"query_hash":"dc3faaa58962","filters":{"venue":"International Journal of Disaster Risk Science"},"cohort_total":36,"direct_labels_cover":0,"predictions_cover":36,"exported":36,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/dc3faaa58962","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Disaster+Risk+Science"},"results":[{"id":"W2093757914","doi":"10.1007/s13753-015-0044-7","title":"Iterative Factors Favoring Collaboration for Interorganizational Resilience: The Case of the Greater Montréal Transportation Infrastructure","year":2015,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; École Nationale d'Administration Publique","funders":"","keywords":"Business; Resilience (materials science); Crisis management; Psychological resilience; Process management; Knowledge management; Industrial organization; Public relations; Economics; Computer science; Political science; Management","score_opus":0.006652897189531111,"score_gpt":0.24940377006917636,"score_spread":0.24275087287964525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093757914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612822,0.0001227495,0.0023204563,0.0018689266,0.000008800233,0.000117054464,0.000046190693,0.000017797096,0.034215853],"genre_scores_gemma":[0.99881136,0.000038093796,0.0005700677,0.000022743352,0.0000023633327,0.000017996914,0.000010645373,0.0000019654474,0.0005247622],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9968022,0.00165844,0.00006838367,0.00020815179,0.00029392677,0.0009688874],"domain_scores_gemma":[0.9927583,0.0025697427,0.0013281056,0.00044033656,0.0010116788,0.0018919251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00295402,0.0003208013,0.00021147725,0.00130255,0.006839987,0.0039619072,0.0009041284,0.00096399867,0.0063804984],"category_scores_gemma":[0.00832101,0.00018176058,0.00037989524,0.0015523857,0.00544882,0.00221736,0.0042566196,0.0006597976,0.0001805098],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062628574,0.00054217206,0.44327065,0.00041524804,0.00022929136,0.01500749,0.13384348,0.028109092,0.0069375425,0.3143518,0.004794603,0.051872335],"study_design_scores_gemma":[0.00034660034,0.00042552873,0.56943107,0.00037978886,0.00030524022,0.0015160083,0.29556283,0.030191267,0.002119453,0.061580345,0.037954364,0.00018759878],"about_ca_topic_score_codex":0.31347516,"about_ca_topic_score_gemma":0.51229936,"teacher_disagreement_score":0.68652487,"about_ca_system_score_codex":0.015355058,"about_ca_system_score_gemma":0.0147625515,"threshold_uncertainty_score":0.623301},"labels":[],"label_agreement":null},{"id":"W2201047412","doi":"10.1007/s13753-015-0068-z","title":"Public Perceptions and Support of Renewable Energy in North America in the Context of Global Climate Change","year":2015,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Renewable energy; Risk perception; Context (archaeology); Natural resource economics; Perception; Climate change mitigation; Natural hazard; Environmental resource management; Energy policy; Global warming; Business; Political science; Geography; Environmental planning; Economics; Psychology; Engineering; Meteorology; Ecology","score_opus":0.304405178070625,"score_gpt":0.42266183648346695,"score_spread":0.11825665841284194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201047412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99313676,0.00014638284,0.000041035823,0.0017676508,0.000007556476,0.0000036687804,0.000032937096,0.0000021957865,0.0048617544],"genre_scores_gemma":[0.99953556,0.00014791884,0.000015196819,0.00009174036,0.000007139635,0.000002411136,0.000023866854,7.125857e-7,0.00017544851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910444,0.00035774932,0.000041823554,0.0000533365,0.0002592522,0.00018337929],"domain_scores_gemma":[0.99480176,0.0018730223,0.0019831832,0.00013402294,0.00072880177,0.00047919148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015196695,0.00010914777,0.0001777887,0.0008042054,0.0012691155,0.0016585104,0.00024516182,0.00062232034,0.0023411368],"category_scores_gemma":[0.006170492,0.0001211419,0.00018281737,0.00074702885,0.0010679318,0.00080299476,0.0010531492,0.0008648637,0.00009868741],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019280153,0.0003354458,0.83714885,0.00011696491,0.00011822723,0.000574845,0.11833351,0.00077326375,0.001614379,0.0026660485,0.0028689713,0.035256825],"study_design_scores_gemma":[0.000008465913,0.00008391932,0.8319214,0.000086367385,0.000027264005,0.00012562281,0.16146675,0.000521529,0.00020363215,0.0006145448,0.0049188975,0.000021602433],"about_ca_topic_score_codex":0.045316644,"about_ca_topic_score_gemma":0.06446139,"teacher_disagreement_score":0.045316644,"about_ca_system_score_codex":0.0016774774,"about_ca_system_score_gemma":0.0010419437,"threshold_uncertainty_score":0.09010571},"labels":[],"label_agreement":null},{"id":"W2772401236","doi":"10.1007/s13753-017-0154-5","title":"Adaptation Decision Support: An Application of System Dynamics Modeling in Coastal Communities","year":2017,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Chronic Disease Prevention Alliance of Canada; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Faculty of Health Sciences, University of Ottawa; International Development Research Centre; University of Ottawa","keywords":"Environmental resource management; Natural hazard; Storm surge; Vulnerability (computing); Adaptive capacity; Adaptation (eye); Context (archaeology); Psychological resilience; Community resilience; Environmental planning; Geography; Climate change; Resource (disambiguation); Storm; Environmental science; Ecology; Meteorology; Computer science","score_opus":0.03864074223602908,"score_gpt":0.30885323110404506,"score_spread":0.27021248886801597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772401236","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04160489,0.00029865763,0.9369073,0.0016859279,0.000113821625,0.00023866011,0.00021640703,0.0003786411,0.018555671],"genre_scores_gemma":[0.76324177,0.00068351685,0.23035228,0.00024293919,0.00012764496,0.00069758046,0.0001696293,0.00009921271,0.0043854555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893874,0.0006526427,0.00004920285,0.00013244215,0.00015659077,0.00007036767],"domain_scores_gemma":[0.99673945,0.002634533,0.00018786071,0.000086106236,0.00023214033,0.00011993985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00205224,0.0010212215,0.0010663164,0.0010652528,0.001403967,0.0028595848,0.0013499188,0.0021648575,0.004186627],"category_scores_gemma":[0.006434303,0.00051584013,0.0014652997,0.0011729805,0.0010162339,0.002048828,0.0025874858,0.0017591153,0.000320587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001625843,0.000041665346,0.0008792067,0.000037081078,0.000038095815,0.000076526136,0.0001707769,0.95823866,0.00015598116,0.03278862,0.00038016096,0.007176957],"study_design_scores_gemma":[0.000009508692,0.000013138562,0.00006395348,0.00001097837,0.000005411672,0.000008895695,0.000050719093,0.9878321,0.00003498778,0.01121707,0.0007466043,0.0000065476743],"about_ca_topic_score_codex":0.03145548,"about_ca_topic_score_gemma":0.015555977,"teacher_disagreement_score":0.03145548,"about_ca_system_score_codex":0.0020777045,"about_ca_system_score_gemma":0.0030340091,"threshold_uncertainty_score":0.06254476},"labels":[],"label_agreement":null},{"id":"W3006023011","doi":"10.1007/s13753-020-00247-0","title":"Small and Medium Enterprises and Global Risks: Evidence from Manufacturing SMEs in Turkey","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; York University","keywords":"Business; Natural hazard; Geopolitics; Unemployment; Natural disaster; Corporate governance; Scale (ratio); Risk management; Finance; Economic growth; Economics; Geography","score_opus":0.04086567432740447,"score_gpt":0.2828862075924746,"score_spread":0.24202053326507017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006023011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987274,0.00020884478,0.00002498409,0.00012232602,0.0000026935534,0.0000037945294,0.000039986342,4.7313816e-7,0.0008695055],"genre_scores_gemma":[0.9997191,0.00015207143,0.000014530066,0.00003415727,0.0000020285945,0.0000026354232,0.000024003779,3.2797857e-7,0.000051120423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931955,0.00020582226,0.0000748517,0.00007458733,0.0001723844,0.00015280089],"domain_scores_gemma":[0.99432015,0.0020751064,0.002164226,0.00013987166,0.0006650262,0.0006354439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011120505,0.00021911779,0.00024303189,0.0010897124,0.00059138134,0.0010770732,0.0002735174,0.00042144532,0.0018185395],"category_scores_gemma":[0.0041118544,0.00014514348,0.00027583475,0.0012276908,0.0005374385,0.0006567082,0.0010461021,0.00050301326,0.00019522315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014013349,0.00019490354,0.9760484,0.00016932431,0.00004621725,0.0008876597,0.012093727,0.00016162681,0.00024517215,0.00031260867,0.00037258546,0.009327651],"study_design_scores_gemma":[0.0000056697086,0.00014084947,0.9590081,0.00014120225,0.000033108056,0.00036318245,0.038626317,0.00018497599,0.00016443212,0.00013011062,0.0011889656,0.000013009667],"about_ca_topic_score_codex":0.0072425143,"about_ca_topic_score_gemma":0.008146276,"teacher_disagreement_score":0.0072425143,"about_ca_system_score_codex":0.0005473585,"about_ca_system_score_gemma":0.0007184956,"threshold_uncertainty_score":0.014400661},"labels":[],"label_agreement":null},{"id":"W3011403107","doi":"10.1007/s13753-020-00260-3","title":"Mass-Casualty Distribution for Emergency Healthcare: A Simulation Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Response and Management","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Lahore University of Management Sciences","keywords":"Mass Casualty; Queue; Mass-casualty incident; Metropolitan area; Medical emergency; Poison control; Computer science; Medicine; Injury prevention","score_opus":0.09569813140567728,"score_gpt":0.49130973607804596,"score_spread":0.39561160467236867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011403107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.894048,0.00050041004,0.08023919,0.0017078455,0.00010622792,0.00030025307,0.0010371358,0.00022084654,0.021839991],"genre_scores_gemma":[0.9900003,0.00019809171,0.007617553,0.00006426774,0.000020642257,0.00009067336,0.00023523187,0.000013983698,0.0017592827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994894,0.00025062228,0.000017333967,0.000049662296,0.000068794,0.00012422496],"domain_scores_gemma":[0.99607277,0.00300388,0.00028579478,0.0001000407,0.0003357106,0.00020184989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012050839,0.0006436203,0.000743298,0.0008719732,0.00070344866,0.0011237047,0.0009417734,0.0017144752,0.0041610445],"category_scores_gemma":[0.0038863996,0.00035069976,0.0008207791,0.00072275096,0.0005899151,0.000806537,0.0009414214,0.0012573884,0.00021556433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047038087,0.00006545175,0.001836863,0.000015506395,0.000012115604,0.000050602954,0.000021172387,0.99513006,0.00011118789,0.0016129201,0.00023499403,0.0008620727],"study_design_scores_gemma":[0.0000124852095,0.000025270318,0.00032597646,0.0000043417685,0.0000043711,0.000008476096,0.00003557954,0.9989899,0.000048373306,0.00042035175,0.00012124779,0.0000035890423],"about_ca_topic_score_codex":0.036294695,"about_ca_topic_score_gemma":0.016692568,"teacher_disagreement_score":0.036294695,"about_ca_system_score_codex":0.001684824,"about_ca_system_score_gemma":0.0015590747,"threshold_uncertainty_score":0.07216686},"labels":[],"label_agreement":null},{"id":"W3022084090","doi":"10.1007/s13753-020-00272-z","title":"Barriers to Insurance as a Flood Risk Management Tool: Evidence from a Survey of Property Owners","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Coastal Health; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Flood insurance; Property insurance; Flood myth; Business interruption insurance; Business; Actuarial science; Purchasing; Casualty insurance; Government (linguistics); Insurance policy; Insurability; Risk management; Natural hazard; Key person insurance; Finance; General insurance; Income protection insurance; Marketing; Geography","score_opus":0.019951241607086195,"score_gpt":0.27763424775437345,"score_spread":0.25768300614728723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022084090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797124,0.00019635881,0.00005334759,0.00022609449,0.0000020752168,0.000019260064,0.00022026637,6.088344e-7,0.0013108089],"genre_scores_gemma":[0.9992173,0.0002928296,0.000051433566,0.00007487623,0.0000020251625,0.000010456651,0.00014418767,8.7164557e-7,0.00020611646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977362,0.0006809349,0.00014585945,0.00017510411,0.0008438626,0.0004179963],"domain_scores_gemma":[0.97327346,0.010861174,0.008549332,0.00086319674,0.00492796,0.0015248501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040861927,0.00012882358,0.000272435,0.000963607,0.0013147151,0.001428624,0.00068488374,0.0005506969,0.0025710906],"category_scores_gemma":[0.016271872,0.00026613357,0.00032048675,0.0019436964,0.0013254825,0.0008324217,0.00068514067,0.0007794942,0.00020482032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058929712,0.00010203303,0.9884489,0.000054748944,0.00003009313,0.00006150073,0.0062643345,0.000026587046,0.00006182611,0.0001000706,0.00035549945,0.0044355253],"study_design_scores_gemma":[0.000004608465,0.000052794232,0.9812955,0.00007086194,0.000020251293,0.00003151736,0.017378522,0.00013276341,0.000046577108,0.000028302167,0.0009313512,0.0000068055006],"about_ca_topic_score_codex":0.61971146,"about_ca_topic_score_gemma":0.6896769,"teacher_disagreement_score":0.61971146,"about_ca_system_score_codex":0.002575292,"about_ca_system_score_gemma":0.004299639,"threshold_uncertainty_score":0.76505625},"labels":[],"label_agreement":null},{"id":"W3034522579","doi":"10.1007/s13753-020-00281-y","title":"Evacuating a First Nation Due to Wildfire Smoke: The Case of Dene Tha’ First Nation","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Smoke; Resilience (materials science); Environmental planning; Emergency management; Emergency evacuation; Sociocultural evolution; Plan (archaeology); Natural hazard; Geography; Political science; Meteorology","score_opus":0.02510427818744138,"score_gpt":0.2610194732601511,"score_spread":0.23591519507270975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034522579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98416317,0.00035760552,0.00023069531,0.00647796,0.00013485977,0.000059309645,0.000058197395,0.000008458934,0.008509962],"genre_scores_gemma":[0.9931851,0.0006574246,0.00035876647,0.0013709611,0.000040485324,0.00002173406,0.000040517916,0.0000083479035,0.004316721],"study_design_codex":"qualitative","study_design_gemma":"case_report","domain_scores_codex":[0.99937916,0.00010608568,0.000012596586,0.000032574866,0.00006080269,0.00040875087],"domain_scores_gemma":[0.99896014,0.00013562785,0.000093962524,0.000031330776,0.00011582879,0.0006630717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004981181,0.0004968191,0.00034822276,0.0006097304,0.020800557,0.0018467683,0.0013277587,0.0020610844,0.003428926],"category_scores_gemma":[0.0014158249,0.00043714457,0.00043827324,0.0006196345,0.0029718054,0.00069898664,0.0024834624,0.0042835376,0.00021736487],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020245247,0.0005840838,0.13057114,0.0002368431,0.000082029816,0.39291885,0.42788604,0.0013707166,0.0020245835,0.008419512,0.018072719,0.017631045],"study_design_scores_gemma":[0.000010421586,0.00010972158,0.03085269,0.00022717785,0.00002874286,0.03628568,0.9039615,0.00068834744,0.0005263736,0.00067318015,0.026571803,0.000064336855],"about_ca_topic_score_codex":0.6882779,"about_ca_topic_score_gemma":0.8974094,"teacher_disagreement_score":0.3117221,"about_ca_system_score_codex":0.017742973,"about_ca_system_score_gemma":0.015971633,"threshold_uncertainty_score":0.6271157},"labels":[],"label_agreement":null},{"id":"W3087673661","doi":"10.1007/s13753-020-00299-2","title":"Quick Response Disaster Research: Opportunities and Challenges for a New Funding Program","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Toronto Metropolitan University","funders":"Marine Environmental Observation Prediction and Response Network; Institute for Catastrophic Loss Reduction","keywords":"Disaster research; Disaster response; Research program; Diversity (politics); Public relations; Political science; Emergency response; Order (exchange); Natural hazard; Emergency management; Sociology; Engineering ethics; Business; Engineering; Geography; Medicine; Law","score_opus":0.4502140568886516,"score_gpt":0.4692385017092218,"score_spread":0.019024444820570197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087673661","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053143054,0.011796532,0.0031161206,0.96927387,0.0035042653,0.00032154753,0.00022134061,0.00007151155,0.0063805636],"genre_scores_gemma":[0.38871607,0.07481703,0.16735135,0.32288763,0.017363517,0.0075961906,0.0015134366,0.00035808198,0.019396726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.89847237,0.0507578,0.005638989,0.0043614455,0.024506511,0.016262777],"domain_scores_gemma":[0.4540682,0.23831579,0.0141444495,0.025740823,0.13000084,0.13772991],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.24523346,0.0010488564,0.0025106359,0.0068538226,0.018792547,0.03061654,0.00814393,0.013697734,0.01677284],"category_scores_gemma":[0.21497257,0.0009194328,0.0022912691,0.006521671,0.026376948,0.026330544,0.027853146,0.015923537,0.0018715318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005241515,0.00092346256,0.012901509,0.0046419073,0.00023812923,0.0008535169,0.011957972,0.0017735917,0.0010206061,0.39001614,0.26215664,0.31299233],"study_design_scores_gemma":[0.0006171301,0.0010314375,0.019256297,0.018417927,0.00023332839,0.00047813874,0.05010451,0.0020984523,0.0004544332,0.2006053,0.706327,0.00037609474],"about_ca_topic_score_codex":0.21311997,"about_ca_topic_score_gemma":0.2593171,"teacher_disagreement_score":0.7547665,"about_ca_system_score_codex":0.05171752,"about_ca_system_score_gemma":0.45554402,"threshold_uncertainty_score":0.9307615},"labels":[],"label_agreement":null},{"id":"W3106815645","doi":"10.1007/s13753-020-00323-5","title":"Characterizing Uncertainty in City-Wide Disaster Recovery through Geospatial Multi-Lifeline Restoration Modeling of Earthquake Impact in the District of North Vancouver","year":2020,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Geospatial analysis; Resilience (materials science); Computer science; Hazard; Natural hazard; Emergency management; Civil engineering; Environmental resource management; Environmental science; Engineering; Geography; Meteorology","score_opus":0.0208076636245554,"score_gpt":0.27755595523993815,"score_spread":0.25674829161538276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106815645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896758,0.00007407297,0.005606587,0.00034457428,0.000013532984,0.00003368011,0.00068322435,0.000075101234,0.0034933446],"genre_scores_gemma":[0.9983353,0.00003613617,0.0007874452,0.000016134529,0.0000020612802,0.000010703357,0.00018668207,0.000007585678,0.0006179885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996915,0.000090047535,0.00001131919,0.00005356997,0.000044536777,0.00010903528],"domain_scores_gemma":[0.99905306,0.00048323366,0.00011610921,0.00005488268,0.00016118522,0.00013155265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051534205,0.0005531357,0.00050287356,0.0007460815,0.00096492673,0.0016212225,0.0013405476,0.0013041216,0.001644545],"category_scores_gemma":[0.0019574156,0.00045872855,0.00061431236,0.00089044904,0.0010657172,0.00051375176,0.0010016256,0.0009411568,0.00009861676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015059552,0.000017565897,0.0035279207,0.000003749806,0.000008751857,0.000065426444,0.00001664799,0.99553204,0.000093506926,0.00030254413,0.00008991394,0.00032680357],"study_design_scores_gemma":[0.000005155344,0.000009367833,0.0017467318,0.0000021407536,0.0000043052164,0.0000064767105,0.00008238344,0.99775404,0.00005536774,0.00020900748,0.00012017282,0.0000048829784],"about_ca_topic_score_codex":0.5427557,"about_ca_topic_score_gemma":0.40683654,"teacher_disagreement_score":0.45724428,"about_ca_system_score_codex":0.004614077,"about_ca_system_score_gemma":0.0025204543,"threshold_uncertainty_score":0.9198742},"labels":[],"label_agreement":null},{"id":"W3131031323","doi":"10.1007/s13753-021-00328-8","title":"Informal Caregiving and Disaster Risk Reduction: A Scoping Review","year":2021,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Science","topic":"Health, psychology, and well-being","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Ontario Ministry of Research and Innovation; University of Ottawa","keywords":"Disaster risk reduction; Preparedness; Scopus; Inclusion (mineral); Resilience (materials science); Population; Psychological resilience; Health care; Vulnerability (computing); Nursing; Medicine; Psychology; MEDLINE; Political science; Environmental health; Environmental planning; Geography","score_opus":0.07923009437872375,"score_gpt":0.5252438833969111,"score_spread":0.44601378901818733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131031323","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00047219807,0.9975122,0.00015824928,0.00061828934,0.00023320467,0.00018391972,0.000091716676,0.000004131686,0.0007260426],"genre_scores_gemma":[0.003977021,0.99480313,0.0002805835,0.00033372612,0.000100688936,0.00029443656,0.00008181059,0.0000025873228,0.0001260161],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99307805,0.002451663,0.0023216307,0.00043195792,0.0014041172,0.0003124809],"domain_scores_gemma":[0.95627546,0.03449863,0.0042700684,0.00049327564,0.0040727644,0.0003897209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010588831,0.0016123226,0.0036489067,0.017755456,0.0015756531,0.0050629713,0.0017456124,0.0033448345,0.005720391],"category_scores_gemma":[0.046192113,0.0010470753,0.004334423,0.015416784,0.0013619842,0.0038810188,0.0029244479,0.002141277,0.0006774017],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000955809,0.00005777003,0.000804715,0.7960429,0.0012817447,0.0002951359,0.001770025,0.0002418403,0.00017385067,0.0024563365,0.0075006504,0.18927957],"study_design_scores_gemma":[0.000014147816,0.000042090323,0.0011572291,0.9549992,0.0022325178,0.00024267343,0.00090339617,0.000053158565,0.00005997888,0.00062079146,0.039656714,0.0000181397],"about_ca_topic_score_codex":0.009430596,"about_ca_topic_score_gemma":0.015357371,"teacher_disagreement_score":0.017755456,"about_ca_system_score_codex":0.0045503927,"about_ca_system_score_gemma":0.018176688,"threshold_uncertainty_score":0.055999756},"labels":[],"label_agreement":null},{"id":"W3176597153","doi":"10.1007/s13753-021-00362-6","title":"Empowered Stakeholders: Female University Students’ Leadership During the COVID-19-Triggered On-campus Evictions in Canada and the United States","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"University of Colorado Boulder; Canada Research Chairs; National Science Foundation","keywords":"Eviction; Preparedness; General partnership; Political science; Public relations; Sociology; Law","score_opus":0.06828576895802317,"score_gpt":0.31767587799584324,"score_spread":0.24939010903782005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176597153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659365,0.00008254725,0.0000632042,0.0007477927,0.000038185935,0.000019698602,0.000035089073,0.0000037005166,0.0024162664],"genre_scores_gemma":[0.9973773,0.00008165749,0.000043054897,0.00021038174,0.0000074707036,0.000010372589,0.000019309091,0.000003414572,0.002247014],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99799335,0.00039955642,0.000025249972,0.00011760477,0.0003358921,0.0011284783],"domain_scores_gemma":[0.9971,0.00023817932,0.00027415997,0.000049594764,0.00062473037,0.0017132915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014367555,0.00036509437,0.00039233643,0.00074447226,0.014948405,0.003729565,0.0010214365,0.0007845161,0.0028712759],"category_scores_gemma":[0.0024033422,0.00026763996,0.0002272255,0.00061095966,0.00403019,0.0007853758,0.0037469813,0.002360916,0.00028344497],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011974993,0.00027915492,0.11439888,0.0000503497,0.000009732913,0.0012893204,0.8584039,0.000065391294,0.0013555755,0.0012512036,0.0043577068,0.018419087],"study_design_scores_gemma":[0.0000023689918,0.0000612891,0.03702004,0.00003358071,0.0000028962284,0.000078627825,0.9549229,0.000046197965,0.0002020862,0.00005574638,0.007558925,0.000015351865],"about_ca_topic_score_codex":0.61853397,"about_ca_topic_score_gemma":0.86378473,"teacher_disagreement_score":0.38146603,"about_ca_system_score_codex":0.016374238,"about_ca_system_score_gemma":0.026146159,"threshold_uncertainty_score":0.7674251},"labels":[],"label_agreement":null},{"id":"W3196425904","doi":"10.1007/s13753-021-00365-3","title":"Tourism Developments Increase Tsunami Disaster Risk in Pangandaran, West Java, Indonesia","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Earthquake and Tsunami Effects","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Natural hazard; Quarter (Canadian coin); Geography; Forensic engineering; Engineering; Meteorology; Archaeology","score_opus":0.004541996299276963,"score_gpt":0.22922050532914579,"score_spread":0.22467850902986883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196425904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698085,0.00014916324,0.00004070308,0.00011572304,0.0000069597245,0.000011749986,0.00016178934,0.000004246571,0.0025287704],"genre_scores_gemma":[0.99901974,0.00016494375,0.00007226918,0.000018013565,0.0000033240965,0.000007239227,0.000106116924,0.000001573658,0.0006067331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987614,0.000030554867,0.00000836328,0.000019218187,0.00001960628,0.0000461949],"domain_scores_gemma":[0.9997421,0.000023074726,0.00009838322,0.000007835954,0.000039058414,0.000089422145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014056145,0.00024724065,0.00012830699,0.00060639036,0.00057158066,0.0012650803,0.00027133618,0.00026163072,0.00299367],"category_scores_gemma":[0.0003266191,0.0001564101,0.00025346215,0.0009152548,0.000390732,0.00049309403,0.0010767033,0.0004390129,0.0003102234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013687224,0.00022291347,0.9795935,0.00011432745,0.000045017627,0.0030212787,0.0027905633,0.0003405582,0.0011095019,0.00023448898,0.0010907043,0.011300186],"study_design_scores_gemma":[0.000004494846,0.000064329564,0.9869868,0.000026174299,0.000013743778,0.00051785837,0.010535334,0.00034638363,0.00007917934,0.00007346962,0.0013465899,0.000005627819],"about_ca_topic_score_codex":0.029037148,"about_ca_topic_score_gemma":0.053724725,"teacher_disagreement_score":0.029037148,"about_ca_system_score_codex":0.0009385031,"about_ca_system_score_gemma":0.0007064399,"threshold_uncertainty_score":0.057736278},"labels":[],"label_agreement":null},{"id":"W4200295656","doi":"10.1007/s13753-021-00385-z","title":"A Global Analysis of the Relationship Between Urbanization and Fatalities in Earthquake-Prone Areas","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Beijing Normal University; National Natural Science Foundation of China","keywords":"Urbanization; Geography; Population; Context (archaeology); Population growth; Natural hazard; Socioeconomics; Environmental protection; Economic growth; Environmental health; Economics; Medicine","score_opus":0.027385979578653425,"score_gpt":0.33444737010247577,"score_spread":0.30706139052382236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200295656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99499905,0.000194365,0.00060193875,0.00011846944,0.0000068173536,0.000009201809,0.0026666434,0.00001705951,0.0013865269],"genre_scores_gemma":[0.9987319,0.00006896808,0.0001565691,0.000008838865,0.000005135265,0.0000057211587,0.00088334165,0.0000029554749,0.00013663352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997906,0.00006518,0.000021601414,0.00004899695,0.000022896638,0.000050760933],"domain_scores_gemma":[0.998728,0.00021585095,0.00057053845,0.00010112254,0.00022129508,0.00016320901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046453686,0.00028061305,0.00020187732,0.0016711837,0.00020447903,0.0004891092,0.00017247598,0.00015534574,0.0022692096],"category_scores_gemma":[0.0013453146,0.00011688857,0.0006728544,0.0019940776,0.00025603134,0.0005724634,0.00082003564,0.00035726174,0.00023637232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021777607,0.0000072885005,0.99661404,0.000017148155,0.0000994268,0.000047606198,0.000117450974,0.0006464842,0.00014781936,0.000106660846,0.00024549136,0.001928796],"study_design_scores_gemma":[6.9936186e-7,0.000019488634,0.99810326,0.000008044384,0.00002774819,0.00006472767,0.0005272832,0.00078193244,0.000046058314,0.00007530342,0.00034173817,0.0000037028929],"about_ca_topic_score_codex":0.007653725,"about_ca_topic_score_gemma":0.009302733,"teacher_disagreement_score":0.007653725,"about_ca_system_score_codex":0.00025511463,"about_ca_system_score_gemma":0.00022809333,"threshold_uncertainty_score":0.0152183175},"labels":[],"label_agreement":null},{"id":"W4200471142","doi":"10.1007/s13753-021-00383-1","title":"Leveraging Hazard, Exposure, and Social Vulnerability Data to Assess Flood Risk to Indigenous Communities in Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Public Safety Canada","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; University of Waterloo","keywords":"Geography; Flood myth; Indigenous; Census; Social vulnerability; Socioeconomics; Population; Pluvial; Natural hazard; Vulnerability (computing); Hazard; Environmental resource management; Psychological resilience; Environmental health; Environmental science; Ecology","score_opus":0.04749983753837281,"score_gpt":0.30512394798036513,"score_spread":0.2576241104419923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200471142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591273,0.000120325705,0.00044637022,0.00008020903,0.0000023818966,0.000032703905,0.0014402935,0.0000108573895,0.0019541439],"genre_scores_gemma":[0.99761754,0.00014720239,0.00076237303,0.000016014603,0.0000016596404,0.000020389538,0.00074004673,0.0000029003133,0.0006919259],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957484,0.000060595645,0.000023204784,0.000054078533,0.00016144897,0.00012575075],"domain_scores_gemma":[0.99831676,0.00022004613,0.00024594922,0.000071475864,0.00088775053,0.0002579695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077594275,0.00024767028,0.00021612285,0.0024931794,0.0017200984,0.0009484293,0.0007077243,0.00015562685,0.001034116],"category_scores_gemma":[0.0029622233,0.0001452764,0.00031169772,0.0032006616,0.00038997768,0.00034609405,0.0010758005,0.0003040678,0.00010914299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004273858,0.000029972029,0.9785162,0.000039874743,0.000062724845,0.00009307282,0.0023295006,0.0010886984,0.0003128648,0.00019667903,0.000507578,0.016780179],"study_design_scores_gemma":[0.0000020700431,0.00001502678,0.9910274,0.000029173654,0.000024730427,0.000029661205,0.005100126,0.0021695264,0.00017579843,0.00011955279,0.0012926338,0.000014321884],"about_ca_topic_score_codex":0.9900017,"about_ca_topic_score_gemma":0.9953229,"teacher_disagreement_score":0.011367581,"about_ca_system_score_codex":0.011367581,"about_ca_system_score_gemma":0.013905812,"threshold_uncertainty_score":0.08247793},"labels":[],"label_agreement":null},{"id":"W4212902152","doi":"10.1007/s13753-022-00400-x","title":"A Building Classification System for Multi-hazard Risk Assessment","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Taxonomy (biology); Natural hazard; Scope (computer science); Computer science; Hazard; Vulnerability (computing); Risk assessment; Risk analysis (engineering); Environmental resource management; Environmental science; Business; Geography; Ecology; Computer security; Biology","score_opus":0.02477306492349958,"score_gpt":0.31917893488206944,"score_spread":0.2944058699585699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212902152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04041263,0.000608212,0.80088425,0.0006178232,0.0002309034,0.0022983646,0.078752615,0.04257996,0.03361539],"genre_scores_gemma":[0.1503998,0.00041180584,0.73357934,0.00017964715,0.00005279058,0.0014459938,0.10557177,0.0007905372,0.007568341],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976943,0.00034791874,0.00053857476,0.00039260718,0.0008501251,0.0001765091],"domain_scores_gemma":[0.9950104,0.00093291193,0.00047555644,0.00096772565,0.002397627,0.00021585455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025299545,0.0009912986,0.00065181934,0.009047454,0.0009790251,0.0028968097,0.0013658114,0.00095569727,0.015145885],"category_scores_gemma":[0.007165943,0.00036333522,0.0013881624,0.005149527,0.00034470495,0.0031906655,0.0022323935,0.00084108044,0.007129086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004945222,0.00039386426,0.045682747,0.0012671606,0.00017173425,0.0006513068,0.001562769,0.030480677,0.0075184973,0.07331819,0.12493002,0.7135285],"study_design_scores_gemma":[0.000102598824,0.0003095198,0.03574377,0.0008138507,0.00018833218,0.0008747784,0.0015954206,0.34602958,0.011421191,0.06588138,0.5367959,0.00024370507],"about_ca_topic_score_codex":0.00982144,"about_ca_topic_score_gemma":0.0075923954,"teacher_disagreement_score":0.015145885,"about_ca_system_score_codex":0.0016784166,"about_ca_system_score_gemma":0.0017375753,"threshold_uncertainty_score":0.05066806},"labels":[],"label_agreement":null},{"id":"W4225384951","doi":"10.1007/s13753-022-00412-7","title":"The Impact of the Covid-19 Pandemic on Iranian Oil and Gas Industry Planning: A Survey of Business Continuity Challenges","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Pandemic; Business; Recession; Petroleum industry; Revenue; Thematic analysis; Coronavirus disease 2019 (COVID-19); Contingency plan; Natural resource economics; Finance; Economics; Qualitative research; Engineering","score_opus":0.12992377984424439,"score_gpt":0.3515886259527735,"score_spread":0.22166484610852913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225384951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930177,0.00045421076,0.00014640423,0.0017459366,0.000013625614,0.00007198298,0.00010628041,0.0000040590116,0.004439851],"genre_scores_gemma":[0.9977958,0.0010265303,0.0002474495,0.00028125726,0.000008110546,0.000042704072,0.00006860306,0.0000017461626,0.0005279038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802655,0.00070927053,0.000110064684,0.00008789401,0.00055462966,0.00051149185],"domain_scores_gemma":[0.99448436,0.0019114082,0.0015673037,0.00009231527,0.0010205023,0.00092410843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033242349,0.00021164166,0.00019944407,0.0013389692,0.0021902816,0.0017198717,0.0005384966,0.00070092286,0.0018926789],"category_scores_gemma":[0.0065400335,0.0002562169,0.00021873954,0.0016404251,0.0011495004,0.0017950056,0.0013581837,0.0011875615,0.000184002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007444329,0.0003616588,0.5311964,0.0009659925,0.000043811895,0.0047289934,0.36687484,0.0007430512,0.001482987,0.0036438084,0.011380437,0.07850349],"study_design_scores_gemma":[0.0000025560282,0.00013236597,0.18737294,0.000264215,0.0000062922772,0.0004870296,0.78644747,0.0003325326,0.00023747701,0.0002593256,0.024432478,0.00002530053],"about_ca_topic_score_codex":0.0151504595,"about_ca_topic_score_gemma":0.021507137,"teacher_disagreement_score":0.0151504595,"about_ca_system_score_codex":0.0034587197,"about_ca_system_score_gemma":0.005803723,"threshold_uncertainty_score":0.030124545},"labels":[],"label_agreement":null},{"id":"W4283260494","doi":"10.1007/s13753-022-00419-0","title":"Disaster Risk Resilience: Conceptual Evolution, Key Issues, and Opportunities","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Disaster risk reduction; Resilience (materials science); Operationalization; Vulnerability (computing); Risk analysis (engineering); Preparedness; Natural hazard; Risk management; Emergency management; Adaptation (eye); Environmental resource management; Political science; Business; Computer science; Computer security; Psychology; Geography; Economics","score_opus":0.02314238755606768,"score_gpt":0.3134026130029308,"score_spread":0.29026022544686314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283260494","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10219073,0.33678067,0.14069255,0.3133607,0.0032440752,0.00032916976,0.0004734027,0.00018715957,0.10274168],"genre_scores_gemma":[0.8843044,0.07801041,0.029550249,0.0035594394,0.0016420049,0.0003979016,0.00018513174,0.000049790142,0.0023007377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99532735,0.002844,0.00029073816,0.00056277757,0.00065636676,0.00031873895],"domain_scores_gemma":[0.991689,0.005366329,0.0007836339,0.00046456675,0.001099466,0.0005969503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012563682,0.0011043345,0.00081445975,0.007525866,0.0032903138,0.011665798,0.002919226,0.003191362,0.0034379028],"category_scores_gemma":[0.008453697,0.0005843134,0.00067974115,0.008210039,0.041618302,0.0170304,0.006468863,0.0072037904,0.0003284452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012982477,0.00001747798,0.00052607903,0.00023186904,0.000009594815,0.000073231866,0.005465528,0.0005290663,0.00009166204,0.97838014,0.0010727305,0.013589558],"study_design_scores_gemma":[0.000006458749,0.000036352943,0.0014872387,0.0014299711,0.000014878226,0.00041533372,0.021329846,0.0022704487,0.00014274401,0.9304402,0.04238006,0.000046306814],"about_ca_topic_score_codex":0.002923268,"about_ca_topic_score_gemma":0.002108296,"teacher_disagreement_score":0.012563682,"about_ca_system_score_codex":0.007280381,"about_ca_system_score_gemma":0.0043485113,"threshold_uncertainty_score":0.06644386},"labels":[],"label_agreement":null},{"id":"W4293018363","doi":"10.1007/s13753-022-00434-1","title":"Quick Responses of Canadian Social Scientists to COVID-19: A Case Study of the 2020 Federal COVID-19-Specific Grant Recipients","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Workforce; Public relations; Political science; Stakeholder; Coronavirus disease 2019 (COVID-19); Transparency (behavior); Sociology; Medicine","score_opus":0.058369985413878014,"score_gpt":0.37923941490026447,"score_spread":0.32086942948638647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293018363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91476536,0.0011029987,0.0023680262,0.043349177,0.0003348894,0.00093096733,0.0004364063,0.0000679061,0.03664425],"genre_scores_gemma":[0.9784219,0.0011911718,0.002737978,0.0058786627,0.00007178932,0.0004135972,0.00013313795,0.000041418,0.011110315],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9775414,0.009158049,0.00043736445,0.0011729628,0.004214256,0.0074759615],"domain_scores_gemma":[0.9694138,0.009813722,0.0016781568,0.0012414518,0.007631558,0.010221288],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.017753545,0.0007531806,0.00073609105,0.003402831,0.08565219,0.0090490915,0.0046256064,0.0053000115,0.004798682],"category_scores_gemma":[0.02289578,0.00073408615,0.00070190174,0.0063129496,0.016956886,0.0025713583,0.012982376,0.006044771,0.0005101701],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010567193,0.00020896121,0.020758595,0.0002360779,0.000022693463,0.012017689,0.91358435,0.000437613,0.0009867086,0.013304557,0.017706798,0.020630322],"study_design_scores_gemma":[0.0000120305285,0.0000635972,0.006771033,0.00015328219,0.000014227122,0.0005087875,0.93004066,0.000238136,0.00024583962,0.00088184845,0.061019085,0.000051382485],"about_ca_topic_score_codex":0.94966096,"about_ca_topic_score_gemma":0.97917867,"teacher_disagreement_score":0.98224646,"about_ca_system_score_codex":0.12500633,"about_ca_system_score_gemma":0.24200247,"threshold_uncertainty_score":0.9069887},"labels":[],"label_agreement":null},{"id":"W4293226913","doi":"10.1007/s13753-022-00397-3","title":"Experimental Evidence for Coverage Preferences in Flood Insurance","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flood insurance; Purchasing; Actuarial science; Flood myth; Asset (computer security); Value (mathematics); Business; Economics; Geography; Statistics; Marketing; Mathematics","score_opus":0.06290104797082496,"score_gpt":0.30137720461341144,"score_spread":0.23847615664258648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293226913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996628,0.000033775585,0.000547773,0.0001289988,0.000009125623,0.00004074342,0.000057648165,0.0000061094124,0.002547873],"genre_scores_gemma":[0.99823856,0.000037976904,0.00096976734,0.000101431135,0.000007967835,0.00010704164,0.000057291763,0.0000047735093,0.0004751414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947286,0.003408843,0.00033369393,0.00052774214,0.0007737078,0.00022742606],"domain_scores_gemma":[0.8700428,0.10853739,0.012341943,0.006259957,0.0010808558,0.0017371504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007679994,0.00035393424,0.000605451,0.00036187284,0.0003844011,0.0014719043,0.000622758,0.0013771305,0.01116244],"category_scores_gemma":[0.042881295,0.000565691,0.00048489068,0.0003071065,0.0016215784,0.0013339854,0.0009898499,0.0013551557,0.00048247984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.12280744,0.118688114,0.38260844,0.0023092432,0.0019407186,0.0011920165,0.009560497,0.02184111,0.2104391,0.042074572,0.0029300135,0.083608724],"study_design_scores_gemma":[0.010187451,0.06952323,0.78017217,0.00027338116,0.00090085017,0.0007451944,0.0027148544,0.05300117,0.028820418,0.046035368,0.007265546,0.00036027824],"about_ca_topic_score_codex":0.0008758465,"about_ca_topic_score_gemma":0.0007457017,"teacher_disagreement_score":0.01116244,"about_ca_system_score_codex":0.0006164993,"about_ca_system_score_gemma":0.00036893837,"threshold_uncertainty_score":0.040616214},"labels":[],"label_agreement":null},{"id":"W4296608836","doi":"10.1007/s13753-022-00443-0","title":"Estimating Ground Snow Load Based on Ground Snow Depth and Climatological Elements for Snow Hazard Assessment in Northeastern China","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; Ministry of Housing and Urban-Rural Development; National Natural Science Foundation of China; University of Cambridge","keywords":"Snow; Environmental science; Precipitation; Wind speed; Meteorology; Return period; Atmospheric sciences; Hydrology (agriculture); Geology; Geotechnical engineering; Geography","score_opus":0.026396794576797028,"score_gpt":0.30051024229860396,"score_spread":0.2741134477218069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296608836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920223,0.00005644205,0.007186298,0.000022382088,0.000003958624,0.000023129644,0.00018876723,0.000071661765,0.00042516537],"genre_scores_gemma":[0.99727243,0.000030165731,0.0023081112,0.0000032489506,0.0000030527092,0.000010876526,0.00018997795,0.000002911785,0.00017911056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998319,0.00003233527,0.000020048532,0.000043334043,0.000043820226,0.000028470618],"domain_scores_gemma":[0.9996793,0.000051709278,0.00006820972,0.000028982438,0.00012889889,0.000042860644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005525948,0.00068944105,0.00034308748,0.0016448253,0.00038427886,0.00038461568,0.00046520217,0.00025446748,0.00042006254],"category_scores_gemma":[0.00059101003,0.00021667562,0.00030258775,0.000816575,0.00017242665,0.00040890524,0.00044719648,0.00010640026,0.00009983897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002171904,0.00015780279,0.7113293,0.00013983337,0.00011287124,0.0005159662,0.00047321446,0.17959547,0.015832528,0.00036778525,0.00069403497,0.090564],"study_design_scores_gemma":[0.000026188329,0.00008288171,0.39940625,0.000013803505,0.00005842356,0.000049313545,0.0003390059,0.59619296,0.0030769913,0.0003286805,0.0004047806,0.00002073353],"about_ca_topic_score_codex":0.032325078,"about_ca_topic_score_gemma":0.04650951,"teacher_disagreement_score":0.032325078,"about_ca_system_score_codex":0.00057348434,"about_ca_system_score_gemma":0.00073166826,"threshold_uncertainty_score":0.064273894},"labels":[],"label_agreement":null},{"id":"W4321786419","doi":"10.1007/s13753-023-00466-1","title":"Estimating and Mapping Extreme Ice Accretion Hazard and Load Due to Freezing Rain at Canadian Sites","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Accretion (finance); Gumbel distribution; Wind speed; Environmental science; Return period; Meteorology; Freezing rain; Extreme value theory; Atmospheric sciences; Geology; Climatology; Physics; Astrophysics; Geography; Mathematics; Statistics; Precipitation","score_opus":0.023296060380912073,"score_gpt":0.25452640996405557,"score_spread":0.23123034958314348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321786419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99446577,0.000028541355,0.0024165108,0.000017875449,0.0000020648017,0.000026749398,0.00085228623,0.00008642341,0.0021038516],"genre_scores_gemma":[0.9963642,0.000034518245,0.0022433694,0.0000025646875,6.3101055e-7,0.00000997199,0.0008290959,0.0000071398304,0.0005085662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998005,0.000011055719,0.0000041846806,0.00002489825,0.000103654595,0.0000556873],"domain_scores_gemma":[0.9995685,0.00006139543,0.00006994868,0.000022145103,0.00022179756,0.000056203684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022698038,0.0003848677,0.00018484818,0.0015748297,0.0008365067,0.0005521186,0.00053367554,0.0002128967,0.0008252288],"category_scores_gemma":[0.0009457226,0.00018116055,0.00031655008,0.0010857991,0.00027509913,0.00022027029,0.00037770218,0.00022515364,0.00015402697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019759516,0.00010143012,0.6363404,0.000075642114,0.00006531351,0.00025008648,0.0004004812,0.29333788,0.0073803635,0.000769068,0.0016156865,0.05946609],"study_design_scores_gemma":[0.000011986811,0.00005954971,0.66434294,0.000020699426,0.000027156051,0.00004135456,0.00062043767,0.33095977,0.0022950305,0.00018355763,0.0014029408,0.00003464426],"about_ca_topic_score_codex":0.9360941,"about_ca_topic_score_gemma":0.96025103,"teacher_disagreement_score":0.063905895,"about_ca_system_score_codex":0.0054630763,"about_ca_system_score_gemma":0.0051984275,"threshold_uncertainty_score":0.12856442},"labels":[],"label_agreement":null},{"id":"W4381094670","doi":"10.1007/s13753-023-00496-9","title":"Human–Animal Interactions in Disaster Settings: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Science","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; Dalhousie University","funders":"Dalhousie University; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Terminology; Multidisciplinary approach; Grey literature; Systematic review; Inclusion (mineral); Disaster research; Natural disaster; Animal welfare; Medicine; MEDLINE; Psychology; Political science; Geography; Ecology","score_opus":0.058070232557213566,"score_gpt":0.46862383981934075,"score_spread":0.4105536072621272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381094670","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007469163,0.9979831,0.00014226382,0.00024346424,0.00011954867,0.00032472314,0.0002081366,0.000005274835,0.00022657441],"genre_scores_gemma":[0.011210378,0.98691005,0.0005527506,0.00038121387,0.000066535846,0.0006460013,0.00013267437,0.0000030194717,0.00009739684],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99043393,0.0037949665,0.002943164,0.0006733424,0.00177554,0.00037905393],"domain_scores_gemma":[0.96072435,0.029601533,0.005110603,0.00048704777,0.0036466022,0.0004299155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012171661,0.0016272693,0.0077787363,0.010567153,0.00086861517,0.0033297355,0.0020159332,0.0024023866,0.0056684865],"category_scores_gemma":[0.051525753,0.0013863259,0.0070449547,0.012293518,0.0009671196,0.003452165,0.0019469691,0.0014038915,0.00042345424],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001018352,0.000015347012,0.0005342547,0.9655036,0.0049776393,0.00011057407,0.00021353687,0.00006897273,0.00007958626,0.00018776288,0.0012347964,0.026972137],"study_design_scores_gemma":[0.00014654716,0.00019256187,0.0034985817,0.9326999,0.04358212,0.00039205785,0.0006075894,0.000066790606,0.00013968885,0.00025940296,0.01837902,0.000035724228],"about_ca_topic_score_codex":0.009149629,"about_ca_topic_score_gemma":0.029625317,"teacher_disagreement_score":0.012171661,"about_ca_system_score_codex":0.0046727364,"about_ca_system_score_gemma":0.01840868,"threshold_uncertainty_score":0.06437063},"labels":[],"label_agreement":null},{"id":"W4389427900","doi":"10.1007/s13753-023-00521-x","title":"Mapping Seismic Hazard for Canadian Sites Using Spatially Smoothed Seismicity Model","year":2023,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Harbin Institute of Technology","keywords":"Seismic hazard; Induced seismicity; Seismology; Geology; Smoothing; Seismic risk; Earthquake scenario; Seismic inversion; Uncertainty quantification; Statistics; Geography; Mathematics","score_opus":0.028265529497056074,"score_gpt":0.27470654278535933,"score_spread":0.24644101328830326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389427900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9118924,0.00019468342,0.07338939,0.00034461005,0.000021620868,0.0000858513,0.0053784023,0.00068712526,0.008005848],"genre_scores_gemma":[0.9875515,0.00010156108,0.009261089,0.000011569865,0.0000026683392,0.000017950359,0.0018172781,0.000023311046,0.001213002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997546,0.000023558465,0.000008558348,0.000044786677,0.00010731468,0.00006115322],"domain_scores_gemma":[0.99951625,0.00008259675,0.000060788654,0.00003989968,0.00026766068,0.000032821525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004497135,0.00062139845,0.00021913052,0.0021378784,0.0005323757,0.00065358845,0.00087383843,0.0003591325,0.0016914039],"category_scores_gemma":[0.0017522408,0.00021246639,0.00057695946,0.0018753482,0.00032948298,0.00040807913,0.0004089762,0.00040647216,0.00019503896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000823087,0.000028724906,0.04064747,0.000054775013,0.000052779094,0.00011018839,0.0001485052,0.9263658,0.0019661516,0.004884929,0.0014805871,0.024177695],"study_design_scores_gemma":[0.000009135845,0.000014928849,0.038113132,0.000011316014,0.000027832626,0.000026623757,0.00012024136,0.9585263,0.00069505,0.0012578423,0.0011618824,0.000035670415],"about_ca_topic_score_codex":0.9254328,"about_ca_topic_score_gemma":0.90369904,"teacher_disagreement_score":0.0745672,"about_ca_system_score_codex":0.006804202,"about_ca_system_score_gemma":0.0096483445,"threshold_uncertainty_score":0.15001261},"labels":[],"label_agreement":null},{"id":"W4394612143","doi":"10.1007/s13753-024-00549-7","title":"Valuable Beyond Vulnerable: A Scoping Review on the Contributions of Older Forced Migrants in Post-migration Recovery","year":2024,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Science","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Pierre Elliott Trudeau Foundation","keywords":"Forced migration; Psychological resilience; Political science; Forced marriage; Human migration; Sociology; Demographic economics; Refugee; Psychology; Gender studies; Population; Social psychology","score_opus":0.04169683476268229,"score_gpt":0.437104849851452,"score_spread":0.3954080150887697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394612143","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018417671,0.9988642,0.00006142201,0.00038653173,0.00018629052,0.000019843299,0.000021751224,0.0000019693753,0.00027379382],"genre_scores_gemma":[0.0018218914,0.99756867,0.00010618514,0.0002786986,0.000073734474,0.000039486724,0.000022049639,0.0000014915939,0.00008780218],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9971228,0.001166251,0.00076595414,0.00022338523,0.0005905674,0.00013106017],"domain_scores_gemma":[0.98190546,0.014724318,0.0014176614,0.00020296461,0.0015480167,0.00020156612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00528905,0.0010068403,0.0023902238,0.007937998,0.0009039178,0.0029337646,0.0012023184,0.0020458505,0.0032150995],"category_scores_gemma":[0.024484755,0.00053553877,0.0024088912,0.008203829,0.0010938273,0.0026295849,0.0018205885,0.0017374859,0.00039997973],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000994368,0.00004150439,0.0004847977,0.5920901,0.001070639,0.00024074165,0.0024340563,0.00020398555,0.00031197484,0.0032384826,0.013117319,0.38666692],"study_design_scores_gemma":[0.00001600337,0.0000690747,0.0019352149,0.8207864,0.0028777777,0.0004749316,0.0015933937,0.000050943705,0.00013672304,0.0014116134,0.17062038,0.00002746622],"about_ca_topic_score_codex":0.006198727,"about_ca_topic_score_gemma":0.015784997,"teacher_disagreement_score":0.007937998,"about_ca_system_score_codex":0.0020206922,"about_ca_system_score_gemma":0.0104536805,"threshold_uncertainty_score":0.027971506},"labels":[],"label_agreement":null},{"id":"W4394848610","doi":"10.1007/s13753-024-00553-x","title":"“If I Do not Go to Work, They Will Die!” Dual Roles of Older-Adult Personal Support Workers’ Contributions During the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Diversity (politics); Pandemic; Qualitative research; Public relations; Perspective (graphical); Psychology; Mental health; Health care; Work (physics); Coronavirus disease 2019 (COVID-19); Gerontology; Nursing; Political science; Sociology; Medicine","score_opus":0.030516422023351725,"score_gpt":0.3970384308702853,"score_spread":0.36652200884693353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394848610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95863515,0.001813526,0.001232665,0.017476857,0.0004750267,0.00007085816,0.000093157025,0.000022122977,0.020180525],"genre_scores_gemma":[0.99354184,0.00081857824,0.00039100499,0.001648351,0.00006167375,0.000035123863,0.000024080056,0.000008435805,0.003470883],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99586487,0.002676525,0.00010190104,0.0001689623,0.00039551026,0.0007922348],"domain_scores_gemma":[0.99602157,0.0013382599,0.0004311757,0.00014623806,0.00061900873,0.0014438108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00510349,0.00033754198,0.00030464813,0.0005817101,0.008742446,0.0025574518,0.00087984384,0.0011536464,0.002594511],"category_scores_gemma":[0.007210679,0.00022664713,0.0002754721,0.00039964277,0.006974712,0.0019271914,0.005952048,0.0027790347,0.00026526494],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028898537,0.00002291725,0.010270015,0.0000840821,0.0000092874925,0.0008961285,0.9707798,0.000031708823,0.0003333483,0.0023897078,0.0051696463,0.009984454],"study_design_scores_gemma":[0.0000036608717,0.00003138196,0.006284607,0.0001892968,0.0000052316736,0.00030266453,0.96376073,0.000040453986,0.00006301579,0.00037056347,0.028934734,0.000013707462],"about_ca_topic_score_codex":0.04290422,"about_ca_topic_score_gemma":0.10558069,"teacher_disagreement_score":0.04290422,"about_ca_system_score_codex":0.0037062033,"about_ca_system_score_gemma":0.0070331655,"threshold_uncertainty_score":0.08530897},"labels":[],"label_agreement":null},{"id":"W4394949145","doi":"10.1007/s13753-024-00555-9","title":"Disaster Awareness and Preparedness Among Older Adults in Canada Regarding Floods, Wildfires, and Earthquakes","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; York University","funders":"","keywords":"Preparedness; Natural hazard; Vulnerability (computing); Hazard; Focus group; Resilience (materials science); Natural disaster; Emergency management; Environmental health; Community resilience; Psychological resilience; Social vulnerability; Geography; Environmental planning; Medicine; Psychology; Business; Political science; Computer security; Engineering; Social psychology","score_opus":0.005668788524622347,"score_gpt":0.27207221344520777,"score_spread":0.26640342492058544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394949145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99583554,0.0002984412,0.000053449472,0.0007679376,0.000014905916,0.000034002456,0.00035565082,0.0000041222056,0.0026358955],"genre_scores_gemma":[0.99828905,0.00047743207,0.00011475023,0.00020534,0.0000050098142,0.000012345945,0.00016567885,8.66347e-7,0.0007296773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996025,0.00003171195,0.00003601593,0.00003528619,0.00014186173,0.00015275001],"domain_scores_gemma":[0.9979056,0.00015551347,0.00038505514,0.00003598065,0.00079179596,0.00072598713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006974606,0.00013634724,0.00019024474,0.000658367,0.0024623042,0.0009629187,0.00036496896,0.00025422717,0.0023790153],"category_scores_gemma":[0.0026761577,0.00011144906,0.00028950485,0.0009919996,0.000547933,0.00039692898,0.00073204946,0.0005535909,0.00011849812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006418694,0.00013365784,0.9507138,0.00011710406,0.00002757862,0.00014680716,0.01904232,0.00008625279,0.00034900347,0.000197685,0.0021949129,0.026926626],"study_design_scores_gemma":[0.0000058748337,0.00006268366,0.96660477,0.00013387609,0.00001885004,0.000046416822,0.029297391,0.00013281753,0.00009429372,0.00006447349,0.0035238133,0.000014816408],"about_ca_topic_score_codex":0.9684807,"about_ca_topic_score_gemma":0.9820124,"teacher_disagreement_score":0.031519294,"about_ca_system_score_codex":0.008272165,"about_ca_system_score_gemma":0.01974517,"threshold_uncertainty_score":0.063409805},"labels":[],"label_agreement":null},{"id":"W4396863784","doi":"10.1007/s13753-024-00559-5","title":"Promoting Older Adults’ Engagement in Disaster Settings: An Introduction to the Special Issue","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Dalhousie University","keywords":"Psychology","score_opus":0.016523529170837336,"score_gpt":0.38272009272673135,"score_spread":0.36619656355589403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396863784","genre_codex":"review","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025548574,0.40622437,0.0024908865,0.33831826,0.23172857,0.000653592,0.0005711473,0.00029140039,0.017167],"genre_scores_gemma":[0.0101340655,0.6047223,0.0057980493,0.11909403,0.23281255,0.0011883171,0.0007762687,0.0002690887,0.0252053],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975756,0.00074698986,0.0004039672,0.00027109514,0.00065548276,0.00034687587],"domain_scores_gemma":[0.9901219,0.0032891615,0.00070490816,0.000195835,0.0024682279,0.0032199067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045052054,0.0014535319,0.0018387187,0.0027612888,0.003480221,0.006628347,0.002354234,0.009097434,0.024210922],"category_scores_gemma":[0.012915699,0.0007014915,0.0017850642,0.0016773535,0.0015048161,0.009593609,0.008470813,0.0117092,0.008694095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026981063,0.00028343557,0.001216249,0.003979138,0.000027737653,0.00021589492,0.0017166366,0.00006487784,0.00017034222,0.0017422826,0.7023644,0.28819212],"study_design_scores_gemma":[0.000023703984,0.00019978249,0.0041075293,0.013209735,0.000057974743,0.0010031286,0.003239634,0.00009994351,0.00009376287,0.003997605,0.973913,0.00005423806],"about_ca_topic_score_codex":0.0027683328,"about_ca_topic_score_gemma":0.011658548,"teacher_disagreement_score":0.024210922,"about_ca_system_score_codex":0.0023803317,"about_ca_system_score_gemma":0.007184106,"threshold_uncertainty_score":0.08099365},"labels":[],"label_agreement":null},{"id":"W4396863821","doi":"10.1007/s13753-024-00558-6","title":"“If Somebody Needed Help, I Went Over”: Social Capital and Therapeutic Communities of Older Adult Farmers in British Columbia Floods","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Social capital; Agency (philosophy); Flood myth; Population; Disaster recovery; Public relations; Business; Economic growth; Psychology; Sociology; Political science; Geography; Social science; Economics","score_opus":0.009730477535757983,"score_gpt":0.29735887412035394,"score_spread":0.28762839658459594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396863821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972963,0.00013478688,0.00003146309,0.00061583007,0.000010039046,0.000015364816,0.000019350475,0.0000014608976,0.0018756159],"genre_scores_gemma":[0.9986922,0.00017600605,0.00004597689,0.0002138341,0.0000033187537,0.000011624877,0.000013979725,0.0000011315518,0.0008418304],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9990314,0.0003224162,0.000031696673,0.00008456299,0.00012930138,0.00040061565],"domain_scores_gemma":[0.9979867,0.0003626471,0.0002957114,0.00005151554,0.00034098452,0.0009623747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014157756,0.00025565934,0.00036574813,0.0009260111,0.009633834,0.002413083,0.00073908997,0.0007305894,0.0031294862],"category_scores_gemma":[0.0031490072,0.00026896424,0.00013077454,0.0007407922,0.0045498875,0.0013895988,0.003639025,0.0014964361,0.0001838468],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006016227,0.00013254781,0.06690128,0.00007655639,0.000011486879,0.0010618553,0.91831326,0.000031292217,0.0005586158,0.0005309011,0.002134755,0.010187354],"study_design_scores_gemma":[0.0000035743803,0.00003985006,0.049765307,0.000065894405,0.00000569478,0.00012305671,0.9460199,0.000038403952,0.000040739676,0.00012809232,0.0037570056,0.000012658726],"about_ca_topic_score_codex":0.41544718,"about_ca_topic_score_gemma":0.7345774,"teacher_disagreement_score":0.5845528,"about_ca_system_score_codex":0.0067985617,"about_ca_system_score_gemma":0.008544007,"threshold_uncertainty_score":0.82605803},"labels":[],"label_agreement":null},{"id":"W4396864994","doi":"10.1007/s13753-024-00557-7","title":"Promoting Older Adults’ Engagement in Disaster Recovery Through Supportive Relationships, Partnerships, and Collaboration: Perspectives of Social Work Practitioners and Human Service Professionals","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Response and Management","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Thematic analysis; Vulnerability (computing); Psychological resilience; Public relations; Disaster recovery; Service (business); Focus group; Work (physics); Psychology; Qualitative research; Sociology; Political science; Business; Social psychology; Engineering; Marketing","score_opus":0.06796013917669796,"score_gpt":0.43738844886664086,"score_spread":0.3694283096899429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396864994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9090895,0.006924062,0.0024027785,0.05684187,0.00090682454,0.00018833032,0.00005407525,0.000038279104,0.023554256],"genre_scores_gemma":[0.9887572,0.003063333,0.00089922623,0.0051447004,0.00019000098,0.00010757254,0.00001730671,0.000013294796,0.0018074209],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98266566,0.012221128,0.0005078211,0.0007533743,0.001087656,0.002764295],"domain_scores_gemma":[0.98322874,0.0069103735,0.0011479199,0.0004321097,0.0019512981,0.006329509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020138914,0.00087050715,0.00094235915,0.0021413695,0.018181778,0.0084647965,0.00171366,0.0049513206,0.0026851222],"category_scores_gemma":[0.015070866,0.0007191765,0.00085170515,0.0012186198,0.014871331,0.007195893,0.016279126,0.007760675,0.00034323995],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015784723,0.00009233337,0.0028898767,0.00014400232,0.00001092765,0.000616724,0.98613435,0.000021581453,0.00026243544,0.0024385846,0.0015086292,0.0058647417],"study_design_scores_gemma":[0.000009873878,0.00010078245,0.0013610368,0.00032685229,0.000011484033,0.00027381847,0.9809396,0.000052434294,0.000066680375,0.0009961898,0.015845058,0.00001615707],"about_ca_topic_score_codex":0.01428948,"about_ca_topic_score_gemma":0.02676361,"teacher_disagreement_score":0.020138914,"about_ca_system_score_codex":0.004059413,"about_ca_system_score_gemma":0.016172254,"threshold_uncertainty_score":0.10650605},"labels":[],"label_agreement":null},{"id":"W4399810983","doi":"10.1007/s13753-024-00568-4","title":"Seismic Risk Model for the Beijing–Tianjin–Hebei Region, China: Considering Epistemic Uncertainty from the Seismic Hazard Models","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Beijing; China; Seismic hazard; Uncertainty quantification; Seismology; Hazard; Risk model; Seismic risk; Geology; Environmental science; Econometrics; Geography; Statistics; Mathematics; Archaeology","score_opus":0.019007902516618748,"score_gpt":0.256030938740056,"score_spread":0.23702303622343726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399810983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7053412,0.0004066932,0.2815126,0.0012331419,0.00002869838,0.00006120196,0.0005578789,0.00014755715,0.010711143],"genre_scores_gemma":[0.9956642,0.00011118075,0.0018347678,0.00001567162,0.000009409013,0.000027820088,0.00011219379,0.000009180742,0.0022158027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995347,0.00015632538,0.000021943753,0.00010377133,0.00010512109,0.00007818987],"domain_scores_gemma":[0.99955446,0.00015944052,0.00011848963,0.000025800166,0.00009628417,0.000045600078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079422543,0.00075701333,0.00055623386,0.00061777205,0.00042294248,0.00092433405,0.0014767374,0.0008040733,0.0013281874],"category_scores_gemma":[0.0010978936,0.0003810697,0.00075420475,0.0005285985,0.0007993086,0.001330455,0.0011873133,0.0006170977,0.00010913924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014320418,0.000008003159,0.0016528011,0.000009153345,0.000021541986,0.000120953686,0.0000343065,0.99007577,0.00030106332,0.0062915934,0.00012244622,0.0013481879],"study_design_scores_gemma":[0.0000047464987,0.0000107519345,0.0009974706,0.0000021602345,0.000014055205,0.00002031904,0.000026072677,0.99542916,0.000066452296,0.0032964316,0.00012565724,0.0000067121423],"about_ca_topic_score_codex":0.048098374,"about_ca_topic_score_gemma":0.022741998,"teacher_disagreement_score":0.048098374,"about_ca_system_score_codex":0.0017379805,"about_ca_system_score_gemma":0.0019640855,"threshold_uncertainty_score":0.095636845},"labels":[],"label_agreement":null},{"id":"W4401698656","doi":"10.1007/s13753-024-00580-8","title":"Road to Resettlement: Understanding Post-disaster Relocation and Resettlement Challenges and Complexities Through a Serious Game","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Response Biomedical (Canada); York University","funders":"","keywords":"Relocation; Environmental planning; Natural hazard; Sustainable development; Business; Environmental resource management; Political science; Geography; Environmental science; Computer science","score_opus":0.06730573349552992,"score_gpt":0.3675962008117551,"score_spread":0.30029046731622516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401698656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7520918,0.0013978195,0.104000345,0.01767036,0.0005144771,0.0017586198,0.0003915021,0.0007802309,0.12139496],"genre_scores_gemma":[0.9218269,0.0012361885,0.059070688,0.0010558957,0.00005633831,0.0011927828,0.00030084132,0.00009811503,0.015162182],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9966539,0.0024061757,0.000075307886,0.00020274712,0.00023357513,0.00042827442],"domain_scores_gemma":[0.9932172,0.0044487263,0.0005019494,0.00015539734,0.0004239943,0.0012528198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036213568,0.0013950466,0.00044129038,0.0012544725,0.0037804618,0.0057101264,0.0028435048,0.002623202,0.007620947],"category_scores_gemma":[0.010135908,0.0004129164,0.00092313316,0.0004183093,0.005930726,0.005748423,0.006461429,0.0029893094,0.0008665931],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009932315,0.0046678833,0.033644784,0.0036430026,0.00022641508,0.0062658554,0.54210746,0.034404423,0.008228032,0.15550767,0.05380785,0.15650341],"study_design_scores_gemma":[0.00029985054,0.0023391277,0.013936784,0.0024130126,0.00015453342,0.0018903567,0.45527652,0.06767202,0.003600163,0.08844984,0.3636264,0.00034148924],"about_ca_topic_score_codex":0.0062038903,"about_ca_topic_score_gemma":0.017336572,"teacher_disagreement_score":0.007620947,"about_ca_system_score_codex":0.0033614219,"about_ca_system_score_gemma":0.0027718775,"threshold_uncertainty_score":0.025494635},"labels":[],"label_agreement":null},{"id":"W4405197085","doi":"10.1007/s13753-024-00597-z","title":"Probabilistic Seismic Hazard Assessment for the North China Plain Earthquake Belt: Sensitivity of Seismic Source Models and Ground Motion Prediction Equations","year":2024,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Institute of Engineering Mechanics, China Earthquake Administration; China Earthquake Administration","keywords":"Seismic hazard; Induced seismicity; Seismology; Geology; Earthquake scenario; Hazard; Incremental Dynamic Analysis; Strong ground motion; Uncertainty quantification; Hazard analysis; Seismic risk; Ground motion; Statistics; Engineering; Mathematics; Reliability engineering","score_opus":0.013429564309876877,"score_gpt":0.2585374264180734,"score_spread":0.24510786210819654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405197085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79228497,0.00013785418,0.20529018,0.0002408403,0.000021772463,0.000045989906,0.00019022789,0.0001408529,0.0016472675],"genre_scores_gemma":[0.9950054,0.000026223359,0.004679124,0.000009692499,0.0000041380695,0.000012345407,0.000056914658,0.000004105663,0.00020207578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954057,0.0001939464,0.000025309193,0.00010113795,0.00009086747,0.000048180074],"domain_scores_gemma":[0.99913186,0.0005072224,0.0001202251,0.00007056859,0.0001403764,0.00002981657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015543989,0.00057303655,0.00031610762,0.00046401573,0.00021862653,0.00046520328,0.00060687657,0.00049190683,0.00060074904],"category_scores_gemma":[0.002974467,0.0002947859,0.00064426806,0.00032012945,0.00032643735,0.00074903085,0.0008381003,0.0005002901,0.000055318273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025283009,0.0000156021,0.0050332416,0.000008026517,0.00002604794,0.000028827106,0.000012237075,0.98969346,0.0004635276,0.00050943805,0.000042108717,0.0041421507],"study_design_scores_gemma":[0.0000019829924,0.0000072880916,0.00075793307,6.48279e-7,0.0000034793406,0.000003081946,0.0000041307753,0.9989017,0.00011682029,0.00018358178,0.000017332235,0.0000019295633],"about_ca_topic_score_codex":0.021089915,"about_ca_topic_score_gemma":0.008269791,"teacher_disagreement_score":0.021089915,"about_ca_system_score_codex":0.00075422635,"about_ca_system_score_gemma":0.0008880511,"threshold_uncertainty_score":0.04193431},"labels":[],"label_agreement":null},{"id":"W4406637812","doi":"10.1007/s13753-025-00613-w","title":"Lessons from the Implementation of the Sendai Framework for Disaster Risk Reduction from Latin America and the Caribbean","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Disaster risk reduction; Latin Americans; Natural hazard; Reduction (mathematics); Sustainable development; Environmental planning; Geography; Political science; Meteorology","score_opus":0.012413387536114102,"score_gpt":0.3656299130073881,"score_spread":0.353216525471274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406637812","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12235236,0.021802938,0.018935572,0.3905838,0.0021664707,0.0013803799,0.0002885258,0.00020646061,0.4422835],"genre_scores_gemma":[0.90503186,0.017428236,0.02536144,0.021892237,0.00042246343,0.001831896,0.0002950795,0.00024633898,0.027490301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.98592144,0.010352304,0.00036440408,0.00037665837,0.0011719068,0.001813315],"domain_scores_gemma":[0.98943454,0.0056604133,0.00040603246,0.0004364049,0.0026127445,0.001449908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023564775,0.00093467266,0.0005439923,0.0022176872,0.011531954,0.013148981,0.0030367002,0.0036657685,0.006548788],"category_scores_gemma":[0.020622842,0.00030544237,0.0008115024,0.00246452,0.009176609,0.00489439,0.012782416,0.0068357154,0.00029512477],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000854183,0.00021004246,0.0039743707,0.0014076204,0.00006730037,0.0061603677,0.39632702,0.002603179,0.0011374312,0.43992487,0.03000301,0.11809933],"study_design_scores_gemma":[0.00003516784,0.00008835564,0.002545067,0.0037027295,0.000052184594,0.00039296594,0.38993323,0.00085538416,0.00035768512,0.050551467,0.5514127,0.00007319123],"about_ca_topic_score_codex":0.17001975,"about_ca_topic_score_gemma":0.189978,"teacher_disagreement_score":0.17001975,"about_ca_system_score_codex":0.02463779,"about_ca_system_score_gemma":0.050596233,"threshold_uncertainty_score":0.33806026},"labels":[],"label_agreement":null},{"id":"W4409255345","doi":"10.1007/s13753-025-00634-5","title":"Evolving Interconnections: Themes and Trends in Sustainable Built Environment Responses to the COVID-19 Pandemic","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Natural hazard; Sustainable development; Environmental planning; Geography; Virology; Biology; Outbreak; Medicine; Ecology; Meteorology; Infectious disease (medical specialty)","score_opus":0.015601360782322727,"score_gpt":0.2940504427093355,"score_spread":0.2784490819270128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409255345","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016786732,0.9666991,0.0023674415,0.008822816,0.000777056,0.0006723776,0.001025936,0.000020699983,0.002827847],"genre_scores_gemma":[0.2341896,0.75149727,0.006699915,0.004383908,0.00034849765,0.0016693177,0.00071992207,0.000023736537,0.0004677832],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9784315,0.011289022,0.005358594,0.0014154911,0.0028942353,0.00061114295],"domain_scores_gemma":[0.93187207,0.051110882,0.009016882,0.00093329046,0.006620893,0.0004459702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030447857,0.00073829695,0.0020830887,0.014821821,0.00076350983,0.0050957263,0.0013444754,0.0016975786,0.0018628228],"category_scores_gemma":[0.08562528,0.0005676846,0.0037874652,0.014112015,0.002058245,0.0055098487,0.0030848735,0.0017597098,0.00015334437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030962448,0.00006368134,0.010752301,0.7239548,0.008555768,0.00052438077,0.02540653,0.0007445299,0.00077458215,0.015868178,0.005772173,0.2072735],"study_design_scores_gemma":[0.00007802507,0.0002446057,0.021556096,0.8381415,0.018437885,0.0007471672,0.04102863,0.0005553839,0.0006291422,0.01004808,0.06841787,0.000115557545],"about_ca_topic_score_codex":0.008803691,"about_ca_topic_score_gemma":0.01671728,"teacher_disagreement_score":0.030447857,"about_ca_system_score_codex":0.005792714,"about_ca_system_score_gemma":0.01421375,"threshold_uncertainty_score":0.16102558},"labels":[],"label_agreement":null},{"id":"W4411094672","doi":"10.1007/s13753-025-00646-1","title":"Beyond Institutional Silos: Rethinking Multilevel Disaster Risk Governance in Africa a Decade into the Sendai Framework Implementation","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Information silo; Corporate governance; Natural hazard; Risk governance; Disaster risk reduction; Business; Environmental planning; Political science; Environmental resource management; Environmental science; Engineering; Geography; Finance","score_opus":0.014076167909787003,"score_gpt":0.35411620224502904,"score_spread":0.34004003433524205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411094672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72623855,0.014393181,0.045579124,0.09692598,0.0011699429,0.00083562825,0.00014997736,0.00012930903,0.11457827],"genre_scores_gemma":[0.98291147,0.0025107432,0.00981914,0.0015837286,0.000055010114,0.00018030655,0.000036159217,0.000038695332,0.0028646938],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99164915,0.005208366,0.00035602888,0.0005342354,0.0008967555,0.0013554125],"domain_scores_gemma":[0.98362696,0.010635704,0.0014159802,0.0013193013,0.0019054369,0.0010965425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031879842,0.0004913201,0.000289533,0.0020728696,0.0067184092,0.010270075,0.0013962713,0.0019760148,0.0029103789],"category_scores_gemma":[0.023720672,0.00045057858,0.00033773156,0.0021099276,0.018009823,0.012935526,0.009728926,0.0043740016,0.00020205737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057196685,0.000092556314,0.010922095,0.0008149878,0.000025498735,0.0014678478,0.48630524,0.0012425226,0.0021899599,0.35058045,0.0041947844,0.14210674],"study_design_scores_gemma":[0.000019954778,0.00019045679,0.0125233345,0.005010308,0.00004536983,0.0003319953,0.6039164,0.0013978257,0.0024669599,0.06587628,0.30814078,0.00008036424],"about_ca_topic_score_codex":0.012968213,"about_ca_topic_score_gemma":0.022524256,"teacher_disagreement_score":0.031879842,"about_ca_system_score_codex":0.01499229,"about_ca_system_score_gemma":0.027062787,"threshold_uncertainty_score":0.16859871},"labels":[],"label_agreement":null},{"id":"W4411255448","doi":"10.1007/s13753-025-00648-z","title":"The Roles of Companion Animals in the Relationship Between Disaster Risk Perception and Willingness to Evacuate","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Natural hazard; Perception; Risk perception; Environmental health; Environmental planning; Psychology; Medicine; Geography; Neuroscience","score_opus":0.015939434626709204,"score_gpt":0.3105020003718436,"score_spread":0.2945625657451344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411255448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906164,0.00009703868,0.0001858941,0.000057690042,0.0000036337403,0.0000035293526,0.000029715267,0.0000016614025,0.00055913156],"genre_scores_gemma":[0.999551,0.000052949228,0.00017677319,0.000015701546,0.0000028098104,0.000002904383,0.000026191128,5.5746926e-7,0.00017105315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973685,0.00012307553,0.000021863458,0.000037253685,0.00003857211,0.000042428834],"domain_scores_gemma":[0.9968906,0.001132877,0.0012608084,0.00014088137,0.00017423724,0.00040067837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005617309,0.00014883309,0.00013501722,0.00027679396,0.00028492542,0.0005951126,0.00017150464,0.00031754086,0.0038290205],"category_scores_gemma":[0.0038049857,0.00010488038,0.00028822586,0.00015352828,0.00037898403,0.00033419862,0.00051644776,0.00044299016,0.00016661861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021187068,0.00015827028,0.9865681,0.0000773892,0.0001186386,0.00024308497,0.0014563123,0.00025637745,0.002198379,0.00023027466,0.0001886238,0.008292648],"study_design_scores_gemma":[0.0000015617693,0.00009047987,0.9969907,0.00002017978,0.000016644548,0.00012208779,0.0018680207,0.00034154853,0.00012217643,0.00013532006,0.00028634394,0.0000050247395],"about_ca_topic_score_codex":0.0019910764,"about_ca_topic_score_gemma":0.0035623196,"teacher_disagreement_score":0.0038290205,"about_ca_system_score_codex":0.0001616754,"about_ca_system_score_gemma":0.00015516883,"threshold_uncertainty_score":0.012809396},"labels":[],"label_agreement":null}]}