{"meta":{"query_hash":"8c5f61066058","filters":{"venue":"Research in Globalization"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/8c5f61066058","api":"https://metacan.xera.ac/api/v1/cohort?venue=Research+in+Globalization"},"results":[{"id":"W3216111919","doi":"10.1016/j.resglo.2021.100074","title":"Challenges faced by Chinese firms implementing the ‘Belt and Road Initiative’: Evidence from three railway projects","year":2021,"lang":"en","type":"article","venue":"Research in Globalization","topic":"International Development and Aid","field":"Social Sciences","cited_by":55,"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":"Chongqing University","keywords":"Harmonization; China; Business; Investment (military); Corporate governance; Sustainable development; Politics; Economic growth; Finance; Political science; Economics","score_opus":0.2337535024230519,"score_gpt":0.4629509850332074,"score_spread":0.22919748261015552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216111919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88763064,0.009739619,0.00030714186,0.038313188,0.00016154996,0.00071987475,0.000022873452,0.00003795239,0.063067146],"genre_scores_gemma":[0.99299467,0.006408504,0.000097345815,0.0000712625,0.0001200014,0.00004217651,0.000056342124,0.0000049484242,0.00020478092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976205,0.0007000517,0.0001651252,0.0002612176,0.00091121,0.0003418553],"domain_scores_gemma":[0.9988833,0.0005224052,0.000048286263,0.000097777,0.00040208036,0.000046127938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002618612,0.00007027188,0.00008166221,0.000060576367,0.0005293202,0.00022090343,0.0002314139,0.00005459488,0.00012003222],"category_scores_gemma":[0.002248386,0.000053263073,0.000015621876,0.0006713237,0.00013499505,0.00044004337,0.00020568098,0.00013578644,0.000010139741],"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":[0.000053493386,0.00012657885,0.7224822,0.00006473174,0.000075883414,0.00003541519,0.069691755,0.000014565116,0.0023023388,0.11046366,0.0072688046,0.08742059],"study_design_scores_gemma":[0.0005596023,0.00003447711,0.90293306,0.00052495365,0.0000039478364,9.2459754e-7,0.01686713,0.0015986585,0.00071951177,0.055419035,0.021109909,0.00022878475],"about_ca_topic_score_codex":0.00384037,"about_ca_topic_score_gemma":0.046779644,"teacher_disagreement_score":0.18045087,"about_ca_system_score_codex":0.00017291031,"about_ca_system_score_gemma":0.0003210186,"threshold_uncertainty_score":0.97061414},"labels":[],"label_agreement":null},{"id":"W4200271168","doi":"10.1016/j.resglo.2021.100077","title":"Does ridesharing affect road safety? the introduction of Moto-Uber and other factors in the Dominican Republic","year":2021,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Public Health Ontario; University of Toronto; McGill University Health Centre; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada","keywords":"Affect (linguistics); Transport engineering; Psychology; Engineering","score_opus":0.04444851853249384,"score_gpt":0.34459406307431956,"score_spread":0.30014554454182574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200271168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956601,0.00008067924,0.000696728,0.0020453865,0.000108723216,0.00035116973,0.000022896587,0.000025362799,0.0010089244],"genre_scores_gemma":[0.9996592,0.000111804184,0.00003874989,0.000027355163,0.000047840873,0.00002691501,0.000057726043,0.0000072548246,0.000023153929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989815,0.0002161456,0.00025619165,0.00013713096,0.00025923664,0.000149841],"domain_scores_gemma":[0.99947447,0.000148132,0.000020668536,0.00024299523,0.00009818611,0.000015570871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014432262,0.000056942423,0.000081910555,0.00013836675,0.00005751507,0.000047125817,0.00010244142,0.000045127283,0.000049376733],"category_scores_gemma":[0.0003036233,0.000031584277,0.000017049822,0.0015123223,0.00008004693,0.00012767903,0.000013736941,0.00017662614,5.9924474e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007704408,0.0002948225,0.67898494,0.0004783083,0.000093232906,0.000008033992,0.014174944,0.09012603,0.012929514,0.17601342,0.0020796752,0.02474005],"study_design_scores_gemma":[0.00030201112,0.000011720258,0.97647786,0.000037633876,0.0000037140355,0.00000194319,0.0026061148,0.0043569836,0.0022272898,0.0012567766,0.012655282,0.00006266984],"about_ca_topic_score_codex":0.00038897237,"about_ca_topic_score_gemma":0.0031586157,"teacher_disagreement_score":0.29749295,"about_ca_system_score_codex":0.0000768614,"about_ca_system_score_gemma":0.000031502754,"threshold_uncertainty_score":0.17625816},"labels":[],"label_agreement":null},{"id":"W4296342731","doi":"10.1016/j.resglo.2022.100094","title":"Diaspora investments in low & high interest rate environments","year":2022,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diaspora; Interest rate; Distributed lag; Cointegration; Investment (military); Economics; Foreign direct investment; Monetary economics; International economics; Macroeconomics; Business; Political science; Econometrics","score_opus":0.21052608094099862,"score_gpt":0.30999756821921826,"score_spread":0.09947148727821964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296342731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99237496,0.00045164995,0.0001702932,0.0006454271,0.00030709288,0.00037609198,0.00019843697,0.0000110993515,0.00546494],"genre_scores_gemma":[0.99833465,0.0005240996,0.000082939034,0.0002940928,0.000030129657,0.0001133174,0.00026879378,0.000017900049,0.00033410703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981817,0.00018273847,0.00057754497,0.00046169438,0.00008474672,0.00051158754],"domain_scores_gemma":[0.99941766,0.000042071664,0.0001271114,0.0003145827,0.0000073349734,0.00009122868],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021995737,0.00011131548,0.00022920448,0.0005777535,0.000120281,0.00006824106,0.00038182322,0.00006414923,0.00074754347],"category_scores_gemma":[0.000114706214,0.00015760305,0.00003539972,0.0009205041,0.00006157382,0.0002782823,0.00033376602,0.00031019043,0.0008130459],"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":[0.00006418708,0.0005453915,0.56102836,0.000033417808,0.000017178894,0.00002931105,0.00044271766,0.024021862,0.00002908207,0.4115084,0.0019747955,0.00030524298],"study_design_scores_gemma":[0.0021374256,0.00011854576,0.55855066,0.00004356827,0.0000010996972,0.000003691616,0.00053810276,0.007890681,0.000051578856,0.3093907,0.12087326,0.00040072808],"about_ca_topic_score_codex":0.002502773,"about_ca_topic_score_gemma":0.00045480722,"teacher_disagreement_score":0.11889846,"about_ca_system_score_codex":0.0016018692,"about_ca_system_score_gemma":0.000029453033,"threshold_uncertainty_score":0.99996495},"labels":[],"label_agreement":null},{"id":"W4389869726","doi":"10.1016/j.resglo.2023.100189","title":"Global liquidity and commodity prices uncertainty using SFAVEC model","year":2023,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Commodity; Economics; Monetary economics; Financial economics; Econometrics; Business; Finance","score_opus":0.20536778547807008,"score_gpt":0.3873964280716263,"score_spread":0.1820286425935562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389869726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965398,0.00021595745,0.025185918,0.0003377196,0.00009252444,0.00028153535,0.00046297972,0.00004661301,0.007978721],"genre_scores_gemma":[0.9989019,0.0004327517,0.00046977613,0.00002434405,0.000030592513,0.000010349,0.000080519974,0.0000074856043,0.000042251642],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859864,0.00008950773,0.00036846046,0.00039800644,0.00012385778,0.00042151316],"domain_scores_gemma":[0.99938554,0.00007499709,0.000088619316,0.0002599764,0.00009336053,0.00009750654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036724724,0.000094076546,0.00020747444,0.0002344471,0.00017887373,0.00012074656,0.00018291485,0.00011858464,0.000025313147],"category_scores_gemma":[0.0003726449,0.00011268139,0.000030377923,0.0016690443,0.000110137415,0.0002285341,0.00024897713,0.0001268296,0.0000149107245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037016387,0.000058327634,0.65093964,0.0000909293,0.000008768441,0.0000035822031,0.000099585515,0.090124145,0.0000037073435,0.25752956,0.0005681861,0.00053653854],"study_design_scores_gemma":[0.00016495504,0.00001222387,0.048735734,0.000013518397,5.382522e-7,5.794615e-7,0.000023373648,0.7245899,3.593213e-7,0.22576326,0.0006187771,0.00007678168],"about_ca_topic_score_codex":0.0029366105,"about_ca_topic_score_gemma":0.0009092095,"teacher_disagreement_score":0.63446575,"about_ca_system_score_codex":0.0005426193,"about_ca_system_score_gemma":0.00006332279,"threshold_uncertainty_score":0.45950136},"labels":[],"label_agreement":null},{"id":"W4399206058","doi":"10.1016/j.resglo.2024.100230","title":"Assessment of the socioeconomic impact of COVID-19 in Rwanda: Findings from a country-wide community survey, preliminary analysis to inform further global research","year":2024,"lang":"en","type":"article","venue":"Research in Globalization","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Rwanda Biomedical Centre; Universiteit Gent; Consejo Nacional de Ciencia y Tecnología; International Development Research Centre; National Commission for Science and Technology; University of Rwanda; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Socioeconomic status; Marital status; Logistic regression; Pandemic; Residence; Population; Socioeconomics; Household income; Demography; Geography; Survey data collection; Environmental health; Medicine; Coronavirus disease 2019 (COVID-19); Economics; Sociology","score_opus":0.40980995642837825,"score_gpt":0.5915247271521423,"score_spread":0.18171477072376407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399206058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205464,0.00023764804,0.002289987,0.0021812518,0.000035236655,0.0010285776,0.0010904403,0.000024375362,0.0010578538],"genre_scores_gemma":[0.9993458,0.00013981308,0.00021691319,0.00007722479,0.0000121423245,0.00007719893,0.00009593694,0.0000107688475,0.000024219753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99097943,0.006039642,0.00095180783,0.00035894712,0.0010548496,0.00061533006],"domain_scores_gemma":[0.9722122,0.02624672,0.00012412915,0.0007554863,0.0005008993,0.0001605567],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03320698,0.00017109713,0.0006533644,0.0006477637,0.00026455734,0.000076864155,0.0009001633,0.00020518208,0.00019668575],"category_scores_gemma":[0.030825451,0.00012006139,0.00020578665,0.0077678626,0.0005037423,0.00014277674,0.0013390649,0.0008492554,0.000008538199],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001701971,0.00023213547,0.96794003,0.0002725346,0.0004018056,0.000003197987,0.0017321728,0.012886796,0.000017155093,0.012647911,0.003584191,0.0001118551],"study_design_scores_gemma":[0.00026957892,0.00022664704,0.8616428,0.00014000767,0.000029832536,2.075507e-7,0.0009100737,0.013970309,0.000006038441,0.12256615,0.00015527612,0.00008306956],"about_ca_topic_score_codex":0.17682785,"about_ca_topic_score_gemma":0.10022452,"teacher_disagreement_score":0.109918244,"about_ca_system_score_codex":0.008843863,"about_ca_system_score_gemma":0.0015245957,"threshold_uncertainty_score":0.99551684},"labels":[],"label_agreement":null},{"id":"W4406615370","doi":"10.1016/j.resglo.2025.100271","title":"Towards inclusive and sustainable strategies in smart cities: A comparative analysis of Zurich, Oslo, and Copenhagen","year":2025,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regent College","funders":"","keywords":"Regional science; Geography; Political science; Sociology; Environmental planning; Economic growth; Economics","score_opus":0.028790074410085097,"score_gpt":0.35807376694454934,"score_spread":0.32928369253446427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406615370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9418537,0.003224568,0.0022396313,0.00013127516,0.00001639124,0.0003170179,0.000013933727,0.000051567957,0.052151922],"genre_scores_gemma":[0.9985829,0.0011223772,0.00012231342,0.0000044526355,0.0000023964878,0.00003390519,0.000015202906,0.000002861265,0.00011357188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991504,0.0000932332,0.0001913027,0.00013530444,0.00016281405,0.00026695433],"domain_scores_gemma":[0.9995684,0.00013405294,0.000015017134,0.000110960376,0.00015333568,0.0000182204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058346405,0.00007509292,0.00024108896,0.00115314,0.000054476302,0.00007636721,0.0000963252,0.0000784143,0.000018335084],"category_scores_gemma":[0.00010707894,0.00007611507,0.000013186784,0.003532126,0.00017133543,0.00019313885,0.00021293377,0.00011049069,3.5490527e-7],"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":[0.0000656966,0.000056509885,0.13587753,0.0011601244,0.00047549218,0.00003634799,0.006595496,0.0805508,0.0002060005,0.7699776,0.003003543,0.001994845],"study_design_scores_gemma":[0.001004129,0.00012812238,0.4372373,0.00028524332,0.00007496245,8.627886e-7,0.22789758,0.2677052,0.0021193058,0.05742423,0.005858703,0.00026437966],"about_ca_topic_score_codex":0.002225627,"about_ca_topic_score_gemma":0.002180846,"teacher_disagreement_score":0.7125534,"about_ca_system_score_codex":0.00022087706,"about_ca_system_score_gemma":0.00008733536,"threshold_uncertainty_score":0.33644968},"labels":[],"label_agreement":null}]}