{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":14,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":14,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"e39bcb80bc02","filters":{"venue":"Regional Studies Regional Science"}},"results":[{"id":"W2053272364","doi":"10.1080/21681376.2014.983149","title":"Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards","year":2015,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":578,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"European Research Council; Government of Canada; World Health Organization","keywords":"Benchmarking; Dashboard; Underpinning; Rationality; Set (abstract data type); Data science; Computer science; Sociology; Public relations; Business; Political science; Engineering; Marketing; Civil engineering","authors":[{"name":"Rob Kitchin","is_ca":false},{"name":"Tracey P. Lauriault","is_ca":false},{"name":"Gavin McArdle","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08844397969793304,"gpt":0.3582103546461696,"spread":0.2697663749482366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02807885,0.0007597028,0.0006656979,0.005773999,0.004455491,0.02300079,0.002294805,0.002007607,0.004808468],"category_scores_gemma":[0.03972537,0.0004842565,0.0005752614,0.01222571,0.02344086,0.02567296,0.01603509,0.003572893,0.0007497068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006359643,"about_ca_system_score_gemma":0.007578508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009138175,"about_ca_topic_score_gemma":0.01083132,"domain_scores_codex":[0.9764578,0.01638609,0.00111475,0.0019493,0.003153798,0.0009382279],"domain_scores_gemma":[0.9680562,0.0163639,0.004436126,0.006752326,0.002973438,0.001417968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000405565,0.00006635823,0.008023644,0.0004743361,0.0000412545,0.000121535,0.06768487,0.007128065,0.0006648565,0.7798968,0.008672385,0.1271854],"study_design_scores_gemma":[0.00002166478,0.0001191829,0.008956607,0.001289279,0.00005671127,0.0001247354,0.09662228,0.009368386,0.002321192,0.4840025,0.3969339,0.0001835113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1880791,0.004745883,0.4960622,0.06618503,0.0007616811,0.0006069235,0.001493561,0.003143651,0.238922],"genre_scores_gemma":[0.8883436,0.003002,0.09913515,0.0009597261,0.0001770917,0.000473961,0.0005995863,0.0004864008,0.006822526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02807885,"threshold_uncertainty_score":0.1484969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2928831860","doi":"10.1080/21681376.2019.1592699","title":"Location, location and professionalization: a multilevel hedonic analysis of Airbnb listing prices and revenue","year":2019,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":123,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Renting; Valuation (finance); Revenue; Real estate; Hedonic regression; Business; Listing (finance); Neighbourhood (mathematics); Hedonic pricing; Economics; Finance; Econometrics","authors":[{"name":"Robbin Deboosere","is_ca":true},{"name":"Danielle Kerrigan","is_ca":true},{"name":"David Wachsmuth","is_ca":true},{"name":"Ahmed El-Geneidy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0642895971156662,"gpt":0.3019895924710883,"spread":0.2376999953554221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00161706,0.0003387015,0.0006019418,0.001547014,0.000413659,0.002003566,0.001233389,0.0006832852,0.00803811],"category_scores_gemma":[0.004221745,0.0002704758,0.001703671,0.002067374,0.0005051235,0.001224611,0.002007935,0.001320948,0.000873547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500977,"about_ca_system_score_gemma":0.0007502214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06971125,"about_ca_topic_score_gemma":0.06126593,"domain_scores_codex":[0.9990797,0.0003872781,0.00004679252,0.0001921854,0.000117616,0.0001763496],"domain_scores_gemma":[0.9966691,0.001630627,0.0006251782,0.0003377078,0.0003641314,0.0003732118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002762956,0.00029386,0.9444843,0.00005016835,0.0008456319,0.0002353428,0.0007421921,0.02675082,0.0008137511,0.005090437,0.002330398,0.01808687],"study_design_scores_gemma":[0.00001918442,0.0002556753,0.7368716,0.00003516029,0.0002520635,0.00009920333,0.001589418,0.2551107,0.0003499238,0.002708243,0.002659275,0.00004965963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900464,0.0001359399,0.005571316,0.0003679384,0.00001160804,0.00003285083,0.001783684,0.00004961444,0.002000774],"genre_scores_gemma":[0.9952603,0.00003890161,0.001653291,0.00002467217,0.000009014053,0.0000194648,0.001588707,0.00001531918,0.001390392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06971125,"threshold_uncertainty_score":0.138611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2330998521","doi":"10.1080/21681376.2016.1163506","title":"The role of place branding in local and regional economic development: bridging the gap between policy and practicality","year":2016,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"","keywords":"Place branding; Context (archaeology); Local economic development; Business; Competition (biology); Investment (military); Marketing; Public relations; Economic growth; Political science; Economics; Tourism","authors":[{"name":"Evan Cleave","is_ca":true},{"name":"Godwin Arku","is_ca":true},{"name":"Richard C. Sadler","is_ca":false},{"name":"Jason Gilliland","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09674151276581915,"gpt":0.3985178070526469,"spread":0.3017762942868277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02002333,0.0002418908,0.0003889529,0.001271883,0.00962225,0.0119489,0.001822841,0.002386173,0.00360394],"category_scores_gemma":[0.01928574,0.0003552562,0.0002135424,0.00194373,0.03412313,0.006530504,0.00767289,0.003270592,0.000229229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0258791,"about_ca_system_score_gemma":0.0402483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1285172,"about_ca_topic_score_gemma":0.2358347,"domain_scores_codex":[0.9900548,0.006308304,0.0001812771,0.0003669487,0.001155805,0.001932797],"domain_scores_gemma":[0.9834747,0.01026347,0.001364492,0.0007797922,0.001916945,0.002200529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008003335,0.0002601299,0.02062807,0.001103367,0.00002434091,0.0008494676,0.4239908,0.001588038,0.0012359,0.3659518,0.004322172,0.1799658],"study_design_scores_gemma":[0.00002159636,0.0001958526,0.02876372,0.002024195,0.00003323259,0.0002622338,0.7264616,0.001520789,0.0009541759,0.06962045,0.1700661,0.00007607256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.66466,0.005966957,0.007639041,0.09912632,0.0001840534,0.0001470245,0.00004138756,0.00004562093,0.2221896],"genre_scores_gemma":[0.996103,0.001134061,0.0007798834,0.0005443363,0.0000170865,0.00001710941,0.000004585062,0.000005433822,0.001394576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285172,"threshold_uncertainty_score":0.2555383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285394460","doi":"10.1080/21681376.2022.2092418","title":"Regional economic resilience: towards a system approach","year":2022,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Socio-ecological system; Context (archaeology); Resilience (materials science); Shock (circulatory); Function (biology); CLARITY; Conceptual framework; Economics; Economic system; Environmental resource management; Computer science; Sociology; Geography; Social science","authors":[{"name":"Jesse Sutton","is_ca":true},{"name":"Godwin Arku","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1007258645773391,"gpt":0.2865327535262265,"spread":0.1858068889488874,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003954647,0.0007217409,0.000735439,0.003475526,0.00215875,0.005530028,0.002649015,0.001490775,0.005434881],"category_scores_gemma":[0.004648392,0.0004436185,0.001216479,0.002265053,0.0113033,0.007255342,0.007292256,0.002937446,0.0005910599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007233716,"about_ca_system_score_gemma":0.004967576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007446286,"about_ca_topic_score_gemma":0.005474441,"domain_scores_codex":[0.9973994,0.001605554,0.0000700704,0.0004229012,0.0002525588,0.0002494879],"domain_scores_gemma":[0.9978916,0.0007960502,0.0003200524,0.0003785747,0.0004185351,0.0001953083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003141044,0.000004770521,0.0004246483,0.00006138765,0.00001428704,0.00005092425,0.00110776,0.006827893,0.00006753183,0.9865346,0.0007129618,0.004190024],"study_design_scores_gemma":[0.000005478762,0.00002260577,0.001082862,0.0001509204,0.0000302129,0.0001064753,0.002715419,0.01037287,0.0001522566,0.9184171,0.06692134,0.00002240618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03429957,0.00712518,0.6551266,0.0366928,0.0005265131,0.0001750667,0.0002932542,0.0004403362,0.2653207],"genre_scores_gemma":[0.8879911,0.005205236,0.09755971,0.001165358,0.0003062656,0.0002161153,0.0001313833,0.0001632004,0.007261598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007446286,"threshold_uncertainty_score":0.05248445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2513182595","doi":"10.1080/21681376.2017.1313127","title":"Population decline in Lithuania: who lives in declining regions and who leaves?","year":2017,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"European Commission","keywords":"Lithuanian; Census; Geography; Population; Quarter (Canadian coin); Population decline; Inequality; Polarization (electrochemistry); Demographic economics; Demography; Socioeconomics; Sociology; Economics","authors":[{"name":"Rūta Ubarevičienė","is_ca":false},{"name":"Maarten van Ham","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1462739445075362,"gpt":0.4183954661759162,"spread":0.27212152166838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007904673,0.000165361,0.0003494718,0.001275267,0.001086347,0.001639268,0.0005485938,0.0004980692,0.002661304],"category_scores_gemma":[0.001640654,0.0001408483,0.0003015182,0.00161542,0.001209435,0.001694861,0.001544091,0.0009711925,0.0003064174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918786,"about_ca_system_score_gemma":0.002436552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06815909,"about_ca_topic_score_gemma":0.08383771,"domain_scores_codex":[0.9995408,0.0001173664,0.00003023896,0.00005563345,0.00003769751,0.0002183622],"domain_scores_gemma":[0.9995027,0.00007845843,0.0001674457,0.0000213225,0.00008854477,0.0001416551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428772,0.00005161812,0.8589056,0.0007954732,0.00009838538,0.001212973,0.04067128,0.0002611361,0.0002413132,0.006066015,0.01188571,0.07966766],"study_design_scores_gemma":[0.000006810781,0.00006775251,0.9142034,0.0008048235,0.00004276489,0.0004173118,0.06143896,0.0001422871,0.00007903459,0.001259652,0.02151725,0.00001996403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498426,0.02003436,0.000158116,0.01926685,0.0001891287,0.00001444487,0.00089863,0.00001779662,0.009578159],"genre_scores_gemma":[0.9901878,0.006877317,0.00009339338,0.001245186,0.0001276539,0.00001400455,0.000423154,0.000005534596,0.001026041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06815909,"threshold_uncertainty_score":0.1355247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2557944814","doi":"10.1080/21681376.2016.1244774","title":"Regional income disparities in Canada: exploring the geographical dimensions of an old debate","year":2016,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Moncton; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Economic geography; Regional science; Political science","authors":[{"name":"Sébastien Breau","is_ca":true},{"name":"Richard Saillant","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09192860770076003,"gpt":0.2429548700028476,"spread":0.1510262623020876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004641886,0.0002130169,0.0006444507,0.005746772,0.007189777,0.005380662,0.001751933,0.0008244735,0.002932636],"category_scores_gemma":[0.01353555,0.0001461899,0.0004338004,0.01419907,0.006974884,0.002071641,0.003144216,0.001645352,0.0001067502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0751421,"about_ca_system_score_gemma":0.07103325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926113,"about_ca_topic_score_gemma":0.995059,"domain_scores_codex":[0.9971069,0.0004450888,0.000107574,0.0003411467,0.001060822,0.0009384552],"domain_scores_gemma":[0.9929072,0.001871317,0.0005717431,0.0002645848,0.003377811,0.001007389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001869279,0.00005475238,0.3721218,0.0005001755,0.000200727,0.0007810302,0.05320305,0.002599703,0.0002590026,0.3771998,0.02400439,0.1688887],"study_design_scores_gemma":[0.0000169331,0.00002451134,0.8161827,0.001443569,0.0001354173,0.0001674682,0.07273484,0.002465636,0.0002385507,0.0368722,0.06961551,0.0001027214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407627,0.04800763,0.002534998,0.1137005,0.0002618906,0.00004822086,0.00303196,0.00003309844,0.09161907],"genre_scores_gemma":[0.9881331,0.008062818,0.0006132561,0.001412912,0.00007936843,0.000009128226,0.0002656248,0.00001084538,0.0014129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0751421,"threshold_uncertainty_score":0.5451967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2977470757","doi":"10.1080/21681376.2019.1668292","title":"Manufacturing change and policy response in the contemporary economic landscape: how cities in Ontario, Canada, understand and plan for manufacturing","year":2019,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University; Toronto Metropolitan University","funders":"","keywords":"Context (archaeology); Scholarship; Economic geography; Regional science; Local economic development; Plan (archaeology); Manufacturing; Economic growth; Political science; Business; Economics; Geography; Marketing","authors":[{"name":"Evan Cleave","is_ca":true},{"name":"Marcello Vecchio","is_ca":true},{"name":"Duncan Spilsbury","is_ca":true},{"name":"Godwin Arku","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1985627060478551,"gpt":0.3071827802907483,"spread":0.1086200742428932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003000619,0.000239744,0.0003269999,0.001195382,0.02458269,0.009786949,0.002221577,0.001488636,0.003807141],"category_scores_gemma":[0.006331129,0.0003425023,0.0003596192,0.003311357,0.0128846,0.002523778,0.004682662,0.002319162,0.0002343668],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2023904,"about_ca_system_score_gemma":0.2191256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956162,"about_ca_topic_score_gemma":0.9986571,"domain_scores_codex":[0.9964166,0.001003092,0.0001036383,0.0002404121,0.000680764,0.001555456],"domain_scores_gemma":[0.9963129,0.0006805024,0.0003941222,0.0001338439,0.001165045,0.001313613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006211494,0.00007322014,0.0809393,0.0001806057,0.0000391078,0.0007434086,0.8426239,0.001848138,0.0008298034,0.03113123,0.01444725,0.02708185],"study_design_scores_gemma":[0.000006136475,0.00001634964,0.06936021,0.0001311074,0.0000160402,0.00003823541,0.8625578,0.000458012,0.0001423691,0.001380639,0.06584179,0.00005142443],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9102242,0.001088486,0.0007266859,0.03149095,0.00005758355,0.0001174208,0.0002721859,0.00003167656,0.05599076],"genre_scores_gemma":[0.9923923,0.000549348,0.0004275805,0.0008418135,0.000003811454,0.00002494682,0.00007140492,0.00001624755,0.005672525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7976096,"threshold_uncertainty_score":0.9251141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2207700430","doi":"10.1080/21681376.2015.1116959","title":"Reinforcing unevenness: post-crisis geography and the spatial selectivity of the state","year":2015,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Austerity; Financial crisis; Convergence (economics); Economic geography; Psychological resilience; State (computer science); Politics; Economics; Economic system; Development economics; Economy; Political economy; Political science; Geography; Economic growth; Macroeconomics","authors":[{"name":"Mikael Omstedt","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05309380796219915,"gpt":0.2571104579724674,"spread":0.2040166500102683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005284353,0.00006268748,0.0002035554,0.0007780162,0.001320669,0.002711493,0.0003360193,0.0003222066,0.00336458],"category_scores_gemma":[0.002890048,0.00009921799,0.0001377061,0.001113553,0.007884607,0.002547859,0.002923303,0.0005263785,0.0001822058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024701,"about_ca_system_score_gemma":0.0008010005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533814,"about_ca_topic_score_gemma":0.0230317,"domain_scores_codex":[0.9996374,0.0001486315,0.00001317143,0.00005731894,0.00004366388,0.00009983186],"domain_scores_gemma":[0.998975,0.0003185563,0.00033008,0.0001422985,0.0001108087,0.0001233072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002250753,0.00003498059,0.1221933,0.0001447213,0.00005867589,0.000918246,0.05389533,0.005947766,0.001261055,0.7702732,0.002228696,0.04281896],"study_design_scores_gemma":[0.00004136967,0.0001346396,0.4164074,0.0002606445,0.00005978547,0.0007233156,0.1274178,0.003700607,0.0009515387,0.3669358,0.08331489,0.00005229915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180811,0.0007134869,0.006075852,0.004163099,0.0000191069,0.00001805625,0.0001084267,0.00001991641,0.07080098],"genre_scores_gemma":[0.9992111,0.0001040346,0.0001428824,0.00002902932,0.000004135835,0.000002552774,0.00001090705,0.000002674193,0.0004927159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533814,"threshold_uncertainty_score":0.03049773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2509809896","doi":"10.1080/21681376.2016.1209983","title":"Challenges and opportunities for more integrated regional food security policy in the Caribbean Community","year":2016,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"International Development Research Centre","keywords":"Food security; Regional integration; Limiting; Regional policy; Caribbean region; Political science; International trade; Economic growth; Regional science; Business; Economics; Geography; Ecology; Latin Americans; Biology","authors":[{"name":"Kristen Lowitt","is_ca":true},{"name":"Arlette Saint Ville","is_ca":true},{"name":"Caroline S. M. Keddy","is_ca":true},{"name":"Leroy E. Phillip","is_ca":true},{"name":"Gordon M. Hickey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3947443758571046,"gpt":0.3551053959576185,"spread":0.03963897989948612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02478323,0.000332708,0.0005783885,0.001456502,0.009467701,0.01414826,0.002968632,0.008186481,0.008824116],"category_scores_gemma":[0.02169295,0.0002581541,0.00056835,0.002042143,0.01030026,0.006665997,0.01456332,0.00616917,0.0004070555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01752688,"about_ca_system_score_gemma":0.07401351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1350326,"about_ca_topic_score_gemma":0.1763295,"domain_scores_codex":[0.9887018,0.005895146,0.0002566283,0.0005443406,0.0009277789,0.00367425],"domain_scores_gemma":[0.9866716,0.0041362,0.001220511,0.0008808644,0.002436746,0.004654052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001049007,0.0004228009,0.007586319,0.0007641409,0.00005689379,0.0008698608,0.07487293,0.004178877,0.002115074,0.7589042,0.02338008,0.126744],"study_design_scores_gemma":[0.0001215923,0.0002295474,0.0222978,0.002200942,0.00007200299,0.0002379805,0.2185376,0.003626557,0.0006974154,0.2548051,0.4969986,0.0001747724],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1912616,0.008646838,0.004829481,0.6467389,0.0002308661,0.0002960749,0.00008417112,0.00008655871,0.1478256],"genre_scores_gemma":[0.9548541,0.003374197,0.006092426,0.0286833,0.0001579051,0.0003176584,0.00007577484,0.00003172024,0.006412901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1350326,"threshold_uncertainty_score":0.2684934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200550956","doi":"10.1080/21681376.2021.2013732","title":"Covid-19, urban economic resilience and the pandemic pivot: Toronto’s restaurant scene","year":2021,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Amgen (Canada); University of Toronto","funders":"Mitacs","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Resilience (materials science); Downtown; 2019-20 coronavirus outbreak; Government (linguistics); Psychological resilience; Urban resilience; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Geography; Economic geography; Advertising; Urban planning; Engineering; Psychology; Medicine","authors":[{"name":"Youjing Li","is_ca":true},{"name":"Ecem Sungur","is_ca":false},{"name":"Andrés Rueda Jiménez","is_ca":true},{"name":"Shauna Brail","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09647771309781303,"gpt":0.3196150854078781,"spread":0.2231373723100651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528247,0.0001623263,0.0001604626,0.0008011741,0.001183103,0.001851036,0.0002604051,0.0003795162,0.003746214],"category_scores_gemma":[0.001664145,0.000100086,0.0001869889,0.001717231,0.001138518,0.0005860251,0.001154009,0.0005384678,0.0002630537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00913543,"about_ca_system_score_gemma":0.003938192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8304617,"about_ca_topic_score_gemma":0.9255781,"domain_scores_codex":[0.999754,0.00002620849,0.000007359426,0.00002930166,0.00004480549,0.0001383149],"domain_scores_gemma":[0.9988425,0.0001201793,0.0003860313,0.00004704986,0.0002161229,0.0003881529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001982067,0.00002695964,0.9585271,0.00006557828,0.00007199261,0.0006238224,0.006527441,0.002415809,0.000424257,0.004467706,0.01994085,0.006710155],"study_design_scores_gemma":[0.000003774919,0.00002093012,0.9735387,0.00004118826,0.00001537468,0.00003339977,0.01690835,0.0009106679,0.0001261242,0.000228755,0.008160318,0.00001247169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811736,0.0003759594,0.0002317626,0.002418974,0.00002730478,0.0000163183,0.005902494,0.00001284547,0.009840813],"genre_scores_gemma":[0.9968852,0.0001517243,0.0000516231,0.00007840797,0.00001003978,0.000005087617,0.001592022,0.000003948329,0.001221951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1695383,"threshold_uncertainty_score":0.3410735,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970929766","doi":"10.1080/21681376.2014.962595","title":"An innovative technique for modelling impacts of coastal storm damage","year":2014,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Storm surge; Flooding (psychology); Storm; Environmental science; Coastal flood; Geographic information system; Meteorology; Climatology; Geography; Oceanography; Geology; Cartography; Sea level rise; Climate change","authors":[{"name":"Maxwell Hartt","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0487610071188323,"gpt":0.3311859135483711,"spread":0.2824249064295388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005555477,0.0008506614,0.0006295285,0.0007125832,0.0005016663,0.0008532254,0.001587148,0.001029062,0.003017156],"category_scores_gemma":[0.001209783,0.0004118613,0.001473613,0.001388024,0.0004940826,0.001100874,0.001018199,0.001183332,0.0005517598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005615467,"about_ca_system_score_gemma":0.00118621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552711,"about_ca_topic_score_gemma":0.01222342,"domain_scores_codex":[0.9997638,0.00006101078,0.00001864424,0.0000429068,0.00008564081,0.00002806495],"domain_scores_gemma":[0.9996848,0.0001696447,0.0000548699,0.00003477411,0.00004257237,0.00001337121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001087623,0.00002198589,0.0009304416,0.00005815958,0.00004868526,0.0001307619,0.0001168894,0.932223,0.002862823,0.04844036,0.0009299727,0.01422594],"study_design_scores_gemma":[0.000007655252,0.0000299479,0.0002089155,0.000009436501,0.00001877472,0.00006591996,0.00002300977,0.9794138,0.000605918,0.01293387,0.006671999,0.00001065081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006270582,0.00007604755,0.9881622,0.00009466337,0.00005185889,0.00005202572,0.0002210696,0.0002257523,0.004845732],"genre_scores_gemma":[0.4515838,0.001056585,0.5303346,0.0001660348,0.0001390457,0.0009637729,0.0006125915,0.0002623318,0.01488117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01552711,"threshold_uncertainty_score":0.03087342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4221100783","doi":"10.1080/21681376.2022.2047769","title":"The global geography of investment in emerging technologies: the case of blockchain firms","year":2022,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Blockchain; Beijing; Geocoding; Investment (military); Silicon valley; Economic geography; Business; Emerging technologies; Industrial organization; Commerce; International trade; China; Economics; Finance; Geography; Entrepreneurship; Computer science; Cartography","authors":[{"name":"Martin Holicka","is_ca":true},{"name":"Tara Vinodrai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02539039091236988,"gpt":0.2930882164845195,"spread":0.2676978255721496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006142901,0.0001048927,0.000236545,0.00189659,0.0008161188,0.003513591,0.0003111989,0.0005254288,0.003859688],"category_scores_gemma":[0.004453886,0.0001501264,0.0002476833,0.004302931,0.002757291,0.003071552,0.001830033,0.00050636,0.0002842885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055495,"about_ca_system_score_gemma":0.0007550016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02964381,"about_ca_topic_score_gemma":0.03602291,"domain_scores_codex":[0.9995331,0.0002187931,0.00001545365,0.00008241378,0.0000442488,0.000106002],"domain_scores_gemma":[0.9975164,0.001062992,0.000742015,0.0002132506,0.0002016965,0.0002636726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001779196,0.00003934118,0.3562885,0.0001907838,0.00009810699,0.002856347,0.02270724,0.01553983,0.0012894,0.5582974,0.006162297,0.03635278],"study_design_scores_gemma":[0.00007858122,0.000118377,0.5813358,0.0004007882,0.000211368,0.002328079,0.08282252,0.02057843,0.001590114,0.1810485,0.1293659,0.000121518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374067,0.00141416,0.00257055,0.002738626,0.000008351364,0.00001955521,0.0006373869,0.00002400181,0.05518065],"genre_scores_gemma":[0.9982408,0.0004204045,0.0004053043,0.00003988462,0.000004143357,0.000005866672,0.0001137119,0.000009073334,0.0007607309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02964381,"threshold_uncertainty_score":0.0589425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088108185","doi":"10.1080/21681376.2014.987541","title":"The minority report: social hope in next generation indicators work. Commentary on Rob Kitchin et al.’s ‘Knowing and governing cities through urban indicators, city benchmarking, and real-time dashboards’","year":2015,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Benchmarking; Work (physics); Sociology; Business; Marketing; Engineering","authors":[{"name":"Meg Holden","is_ca":true},{"name":"Sara Moreno Pires","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09629735112140321,"gpt":0.3552031161637307,"spread":0.2589057650423275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03808085,0.001488957,0.00163018,0.001900175,0.01346209,0.01249088,0.008830344,0.06232926,0.01119289],"category_scores_gemma":[0.1415723,0.001159884,0.002855987,0.002644429,0.01877197,0.02091942,0.01293204,0.08165269,0.004316377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005956,"about_ca_system_score_gemma":0.02575973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07795147,"about_ca_topic_score_gemma":0.08963391,"domain_scores_codex":[0.9724301,0.01339664,0.002077732,0.002983901,0.006566532,0.002545117],"domain_scores_gemma":[0.8897232,0.07745536,0.003803272,0.002891819,0.01768642,0.008439995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001011331,0.000007052245,0.0001242562,0.00005597942,0.000006323093,0.0000613851,0.001059794,0.000012369,0.00001547643,0.008214549,0.9879209,0.002511773],"study_design_scores_gemma":[0.00004678728,0.00001918008,0.0009384924,0.001034444,0.00002240626,0.0001005247,0.006106805,0.0001041985,0.0001188742,0.01023946,0.9811831,0.00008564805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0000594307,0.000860966,0.00004088513,0.9903802,0.007925473,0.000003318514,0.00003503761,0.00000788958,0.0006868368],"genre_scores_gemma":[0.00169463,0.000497803,0.00009424769,0.9892592,0.00655287,0.00003481817,0.00002627798,0.00003038341,0.001809865],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07795147,"threshold_uncertainty_score":0.2013932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408672269","doi":"10.1080/21681376.2025.2476633","title":"Hidden treasures: estimating intergenerational wealth transfers in rural Canada","year":2025,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Agri-Food Innovation Alliance","keywords":"Economic geography; Geography; Economics; Demographic economics","authors":[{"name":"Alex Petric","is_ca":true},{"name":"Ryan Gibson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03120902071048066,"gpt":0.2784978601543499,"spread":0.2472888394438692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001539801,0.0003984075,0.0004579051,0.001202456,0.001684913,0.001291459,0.001776835,0.0005283331,0.003060348],"category_scores_gemma":[0.006707118,0.0003150102,0.0006476377,0.002547095,0.0005170011,0.0005997104,0.001073377,0.0007340225,0.0002854796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0239857,"about_ca_system_score_gemma":0.01977462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957899,"about_ca_topic_score_gemma":0.9955043,"domain_scores_codex":[0.9995825,0.0001060569,0.0000170818,0.0001102913,0.00006207199,0.0001220253],"domain_scores_gemma":[0.9983075,0.0006430523,0.0001764169,0.0001531457,0.00052892,0.0001910892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003772403,0.0001758722,0.6126043,0.0001195546,0.0004461929,0.0003248332,0.001412318,0.2970559,0.0004442449,0.01029282,0.01051885,0.06622804],"study_design_scores_gemma":[0.00006250879,0.00006407333,0.3385474,0.00009999378,0.0001083236,0.00008852701,0.00326941,0.6433749,0.0005988525,0.003689038,0.01002151,0.00007538532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779254,0.0004466698,0.008902655,0.0005758144,0.00001550086,0.00009398572,0.008520636,0.0001170654,0.003402295],"genre_scores_gemma":[0.9842498,0.0002298135,0.00701426,0.00005776313,0.000004249674,0.00004533318,0.004282778,0.0000279905,0.00408807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0239857,"threshold_uncertainty_score":0.1740292,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}