{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"17006255f7c2","filters":{"venue":"Equilibrium Quarterly Journal of Economics and Economic Policy"}},"results":[{"id":"W4393974746","doi":"10.24136/eq.3017","title":"Would it have been cheaper to let them become unemployed? Costs and benefits of First Aid intervention for companies in Slovakia during the COVID-19 pandemic","year":2024,"lang":"en","type":"article","venue":"Equilibrium Quarterly Journal of Economics and Economic Policy","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"European Regional Development Fund","keywords":"Unemployment; Intervention (counseling); Business; Pandemic; Quarter (Canadian coin); Financial crisis; Economic growth; Recession; Economics; Coronavirus disease 2019 (COVID-19); Macroeconomics; Medicine","authors":[{"name":"Lucia Švábová","is_ca":false},{"name":"Diana Stefunova","is_ca":false},{"name":"Katarína Kramárová","is_ca":false},{"name":"Marek Ďurica","is_ca":false},{"name":"Barbora Gabrikova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07344419318827428,"gpt":0.3047386396248908,"spread":0.2312944464366166,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003650684,0.0003142348,0.0006509995,0.0009275944,0.0009837525,0.00243656,0.0007731417,0.001125301,0.004265757],"category_scores_gemma":[0.008397009,0.0002227058,0.0007871797,0.0008547287,0.00130606,0.0008602103,0.002233892,0.001189445,0.0002308327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007208102,"about_ca_system_score_gemma":0.005655608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04926349,"about_ca_topic_score_gemma":0.07204215,"domain_scores_codex":[0.9966149,0.001771274,0.0001483029,0.000144951,0.0002775816,0.001043108],"domain_scores_gemma":[0.9944493,0.00229886,0.001921755,0.0001491174,0.0004708261,0.0007101377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008620687,0.003499429,0.6974472,0.003536857,0.002221619,0.003342108,0.005098786,0.07058813,0.002652491,0.01613935,0.009025287,0.1778281],"study_design_scores_gemma":[0.0002377676,0.002167048,0.9551849,0.001755423,0.0009630102,0.0003813102,0.01651056,0.01282764,0.001019248,0.002563999,0.006313762,0.00007514153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906688,0.002781478,0.0002669266,0.002513763,0.00005503657,0.00007936951,0.0007807729,0.000006636382,0.002847229],"genre_scores_gemma":[0.9984369,0.0006986893,0.0001166069,0.000153787,0.00001247544,0.00003074209,0.0001516086,0.000001676835,0.0003975852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04926349,"threshold_uncertainty_score":0.09795344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1258977692","doi":"10.12775/equil.2010.017","title":"Industrial design as a determinant of shoe and tanning firms’ competitiveness","year":2010,"lang":"en","type":"article","venue":"Equilibrium Quarterly Journal of Economics and Economic Policy","topic":"Polish socio-economic development","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Unit (ring theory); Industrial organization; Production (economics); Competitive advantage; Scale (ratio); Marketing; Operations management; Economics; Microeconomics; Mathematics; Geography","authors":[{"name":"Łukasz Mamica","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03595632211955606,"gpt":0.2410274357861382,"spread":0.2050711136665821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007825952,0.0001600205,0.0002852358,0.001020067,0.000668806,0.002309268,0.0002417568,0.0005044747,0.006330787],"category_scores_gemma":[0.002290123,0.0001381973,0.0004157091,0.001283861,0.0009438436,0.000588728,0.0007471456,0.0004003582,0.0004836162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072129,"about_ca_system_score_gemma":0.0009898796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006105745,"about_ca_topic_score_gemma":0.01144608,"domain_scores_codex":[0.9991477,0.0001711077,0.00004851378,0.000127226,0.0002367425,0.0002687401],"domain_scores_gemma":[0.996198,0.001178839,0.001228368,0.0001506449,0.0003814114,0.0008625975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001864786,0.0003563927,0.9795784,0.0000560597,0.00006526295,0.0004544822,0.0007952982,0.0007379201,0.002438668,0.001683855,0.0002701047,0.01337704],"study_design_scores_gemma":[0.00000451984,0.000108281,0.9957639,0.000009977832,0.00001494992,0.00007838202,0.002277098,0.0004102571,0.0002659491,0.0002403488,0.0008197106,0.000006725524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933538,0.0001319028,0.0001119683,0.00007578074,0.000002666271,0.000006989858,0.00002063594,0.000002358357,0.006293799],"genre_scores_gemma":[0.9994556,0.00003298848,0.00004756687,0.000004176707,0.000001768838,0.00000108108,0.00001617888,6.66774e-7,0.0004398676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006330787,"threshold_uncertainty_score":0.0211786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}