{"meta":{"query_hash":"9464a6e6efa5","filters":{"venue":"Questioni di Economia e Finanza (Occasional Papers)"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/9464a6e6efa5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Questioni+di+Economia+e+Finanza+%28Occasional+Papers%29"},"results":[{"id":"W3007180319","doi":"","title":"The Central Italy earthquake and its short-term impact on firms","year":2019,"lang":"en","type":"article","venue":"Questioni di Economia e Finanza (Occasional Papers)","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Counterfactual thinking; Revenue; Tourism; Business; Core (optical fiber); Quarter (Canadian coin); Term (time); Service (business); Balance sheet; Tertiary sector of the economy; Monetary economics; Economics; Finance; Geography","score_opus":0.019061059181416803,"score_gpt":0.23665735188298942,"score_spread":0.2175962927015726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007180319","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":[0.9923936,0.0016179928,0.00012640526,0.0009844626,0.00004994314,0.000007399756,0.0011179043,0.000014528033,0.0036877834],"genre_scores_gemma":[0.9986628,0.00032750913,0.000012131582,0.000033195785,0.00004621432,0.0000027987012,0.00053187995,0.000002063682,0.00038129528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999335,0.00011850791,0.000041982083,0.00007964945,0.0001619717,0.00026289246],"domain_scores_gemma":[0.99521255,0.0009534151,0.0025816837,0.00019035533,0.00042788673,0.00063402444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078442186,0.000271733,0.00037552646,0.0009750187,0.0002491584,0.0018922286,0.00037608735,0.0007058111,0.002594585],"category_scores_gemma":[0.0055241934,0.00011180395,0.00040678924,0.0017982459,0.00068449846,0.0007351415,0.0013644905,0.0007891381,0.00048792522],"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":[0.0009351935,0.00023821463,0.9575698,0.00017471073,0.00040736664,0.0010413632,0.00057499344,0.012284784,0.0010479536,0.0023597626,0.005550101,0.01781572],"study_design_scores_gemma":[0.000010612621,0.0001888219,0.9954716,0.000027699029,0.000044807664,0.00007355008,0.00060871476,0.0014187192,0.00016868164,0.00027855494,0.0016946141,0.000013803648],"about_ca_topic_score_codex":0.02223455,"about_ca_topic_score_gemma":0.022107758,"teacher_disagreement_score":0.02223455,"about_ca_system_score_codex":0.0016266614,"about_ca_system_score_gemma":0.00060594577,"threshold_uncertainty_score":0.044210255},"labels":[],"label_agreement":null},{"id":"W3121773220","doi":"","title":"Prices of residential property in Italy: constructing a new indicator","year":2008,"lang":"en","type":"article","venue":"Questioni di Economia e Finanza (Occasional Papers)","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":0,"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":"Inflation (cosmology); Residential property; Quarter (Canadian coin); Point (geometry); House price; Identification (biology); Property (philosophy); Economics; Business cycle; Econometrics; Business; Macroeconomics; Geography; Economic geography; Mathematics","score_opus":0.026623104828748956,"score_gpt":0.23192846225334357,"score_spread":0.2053053574245946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121773220","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":[0.96052283,0.00033716406,0.011742292,0.000405246,0.000066431756,0.000105215564,0.008629918,0.00021619716,0.017974738],"genre_scores_gemma":[0.97645843,0.00025458072,0.01178949,0.000038230923,0.00019645212,0.00017490335,0.009680138,0.000060790157,0.0013469984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933714,0.00017836323,0.000063934625,0.0001337679,0.00021050825,0.00007618282],"domain_scores_gemma":[0.9980616,0.00047304042,0.0007433217,0.0001605669,0.00041629365,0.00014506538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063343387,0.00044285844,0.00037331218,0.006083796,0.00015731742,0.0016046896,0.00039776234,0.0004136342,0.0026843024],"category_scores_gemma":[0.0029627078,0.00020752345,0.00045873775,0.005140565,0.00044644493,0.0009847268,0.0008616733,0.0005792472,0.00072897377],"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":[0.00015958528,0.0001499594,0.9131655,0.00014830733,0.00013308594,0.0003404843,0.00090856495,0.007622273,0.0023676483,0.0062486427,0.009927666,0.05882837],"study_design_scores_gemma":[0.000013850717,0.00010494014,0.97014546,0.000025190244,0.00003260696,0.0002198242,0.0002467231,0.02016937,0.000495631,0.0010984829,0.0074215084,0.000026486552],"about_ca_topic_score_codex":0.0061815903,"about_ca_topic_score_gemma":0.004731476,"teacher_disagreement_score":0.0061815903,"about_ca_system_score_codex":0.0006884608,"about_ca_system_score_gemma":0.00036181745,"threshold_uncertainty_score":0.012291253},"labels":[],"label_agreement":null},{"id":"W3124663995","doi":"","title":"Household aggregate wealth in the main OECD countries from 1980 to 2011: what do the data tell us?","year":2013,"lang":"en","type":"article","venue":"Questioni di Economia e Finanza (Occasional Papers)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"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":"Household debt; Economics; Debt; Convergence (economics); Financial crisis; Aggregate data; Aggregate (composite); National wealth; Macroeconomics; Finance","score_opus":0.023289275208466048,"score_gpt":0.22903191533370537,"score_spread":0.20574264012523932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124663995","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":[0.869782,0.010880161,0.00031565147,0.0012719603,0.00008045256,0.00003135072,0.10089545,0.00006467061,0.016678313],"genre_scores_gemma":[0.90017205,0.010188788,0.00045414997,0.00028440243,0.00013126158,0.000065466105,0.08517639,0.000017826605,0.0035096616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999645,0.00004303389,0.000038482518,0.000051270476,0.00010218439,0.00012009954],"domain_scores_gemma":[0.99811506,0.00027374638,0.00078767596,0.000095375304,0.00052567344,0.00020248783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006897091,0.0003219128,0.00047194862,0.0055555305,0.00042868263,0.0016408078,0.00026948456,0.00038774623,0.0012728615],"category_scores_gemma":[0.0027680038,0.00012603408,0.0004406892,0.009656622,0.00036035842,0.00097121886,0.0009024217,0.00045123041,0.0004906116],"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":[0.00011246708,0.000024134928,0.94724685,0.00022653356,0.00021927695,0.00034852192,0.0010882921,0.0014731685,0.00006466083,0.0010898621,0.017178286,0.03092796],"study_design_scores_gemma":[0.0000032606397,0.000014335314,0.98214436,0.00011820974,0.000039604063,0.00009187651,0.0011928626,0.0001640829,0.00007066594,0.0001368789,0.016011953,0.000011928836],"about_ca_topic_score_codex":0.3217116,"about_ca_topic_score_gemma":0.41807234,"teacher_disagreement_score":0.3217116,"about_ca_system_score_codex":0.0021572802,"about_ca_system_score_gemma":0.001190135,"threshold_uncertainty_score":0.63967806},"labels":[],"label_agreement":null},{"id":"W3124932678","doi":"","title":"Inequality amid income stagnation: Italy over the last quarter of a century","year":2018,"lang":"en","type":"article","venue":"Questioni di Economia e Finanza (Occasional Papers)","topic":"Economic Development and Digital Transformation","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":"Recession; Economics; Inequality; Economic inequality; Gini coefficient; Business cycle; Poverty; Currency; Income distribution; Quarter (Canadian coin); Demographic economics; Population; Development economics; Keynesian economics; Monetary economics; Geography; Economic growth; Demography","score_opus":0.020102620430023983,"score_gpt":0.2226669539861117,"score_spread":0.20256433355608772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124932678","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":[0.92195857,0.018767472,0.00042515452,0.022492358,0.00034478828,0.000013984634,0.002166375,0.00004844148,0.033782788],"genre_scores_gemma":[0.99304587,0.0031656062,0.00010673269,0.00057046436,0.0005975095,0.000008916927,0.0010360323,0.0000182165,0.0014508046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996526,0.000049491766,0.000015592683,0.000060378847,0.00005688953,0.00016506617],"domain_scores_gemma":[0.9993468,0.000068713955,0.00030835692,0.000041454467,0.00007598453,0.0001586789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068213226,0.0001674302,0.00034586727,0.0012279581,0.0007044563,0.0020672814,0.00032264745,0.00063063967,0.0022579685],"category_scores_gemma":[0.0018517334,0.00010424961,0.00023986107,0.002655992,0.0009261871,0.0011943243,0.0015654907,0.0010739814,0.00034476197],"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":[0.00096625433,0.00013182573,0.6901062,0.00065992144,0.00016608328,0.0021271314,0.02110022,0.0017041102,0.00077469455,0.046060633,0.057951294,0.17825164],"study_design_scores_gemma":[0.000011100001,0.00004434444,0.9513057,0.00016325821,0.000020153151,0.0003586396,0.0015091171,0.00029599367,0.000068002235,0.0013250887,0.044888146,0.000010572672],"about_ca_topic_score_codex":0.019130733,"about_ca_topic_score_gemma":0.015500475,"teacher_disagreement_score":0.019130733,"about_ca_system_score_codex":0.0018944904,"about_ca_system_score_gemma":0.0008709681,"threshold_uncertainty_score":0.03803879},"labels":[],"label_agreement":null}]}