{"meta":{"query_hash":"7c26bcc7c5b2","filters":{"venue":"AIEL series in labour economics"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/7c26bcc7c5b2","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIEL+series+in+labour+economics"},"results":[{"id":"W3122615655","doi":"","title":"Where Do the Brainy Italians Go","year":2010,"lang":"en","type":"article","venue":"AIEL series in labour economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","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":"Ceteris paribus; Demographic economics; Geography; Political science; Economic geography; Economics","score_opus":0.00661065918736371,"score_gpt":0.24917658223610067,"score_spread":0.24256592304873698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122615655","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":[0.9602975,0.0016463303,0.000111442336,0.007739008,0.00010635241,0.000015826821,0.00035464836,0.000012746215,0.029715996],"genre_scores_gemma":[0.9823851,0.0016971395,0.00013952881,0.0020436093,0.00010558465,0.000020266163,0.00028834603,0.000020004665,0.013300392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995491,0.00008532131,0.000012253615,0.000055063418,0.000053256626,0.00024497326],"domain_scores_gemma":[0.9984107,0.00014234609,0.0006879119,0.00007846185,0.00014546292,0.0005350644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045111022,0.00015001024,0.00032219835,0.0011772381,0.0020094824,0.0023680832,0.000388876,0.0007261847,0.008460986],"category_scores_gemma":[0.0033825517,0.00016423932,0.00021572798,0.0013110053,0.0012305967,0.0014078196,0.0013313233,0.0008197227,0.0030923325],"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":[0.00043359623,0.00018279674,0.82487625,0.00019763985,0.000075394164,0.0010952519,0.038648874,0.0001403745,0.0006106698,0.012495161,0.035222664,0.086021364],"study_design_scores_gemma":[0.000034049546,0.000107490094,0.8557641,0.00027512212,0.00004746212,0.0005267316,0.058189556,0.00015237583,0.00014881694,0.0019539907,0.08275976,0.00004046701],"about_ca_topic_score_codex":0.056879144,"about_ca_topic_score_gemma":0.10399161,"teacher_disagreement_score":0.056879144,"about_ca_system_score_codex":0.0009153582,"about_ca_system_score_gemma":0.0011366535,"threshold_uncertainty_score":0.11309612},"labels":[],"label_agreement":null},{"id":"W3124831780","doi":"","title":"Volunteer Labour Supply: Micro-econometric Evidence from Italy","year":2009,"lang":"en","type":"article","venue":"AIEL series in labour economics","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","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":"Consumption (sociology); Investment (military); Service (business); Economics; Labour economics; Demographic economics; Volunteer; National accounts; Labour supply; Test (biology); Donation; Business; Economic growth; Political science; Sociology; Economy; Accounting","score_opus":0.021688307210326493,"score_gpt":0.27646077704418254,"score_spread":0.25477246983385604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124831780","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":[0.9834952,0.0008058319,0.0010274685,0.0013672098,0.000017803926,0.000036164405,0.004021133,0.0000493995,0.009179792],"genre_scores_gemma":[0.9925379,0.00034429412,0.00019125153,0.00010313695,0.00006422352,0.000029195558,0.0047100377,0.000013527771,0.0020063135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987423,0.00068164925,0.000040161172,0.00016721571,0.00012864401,0.0002400988],"domain_scores_gemma":[0.98913145,0.006433436,0.002525998,0.000858016,0.00045999512,0.0005911354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001969552,0.0003020079,0.00056947756,0.0018018854,0.00045999864,0.0011471414,0.0005190933,0.00054218987,0.0055696107],"category_scores_gemma":[0.0068997466,0.00027281084,0.00064433133,0.0038292336,0.0006547057,0.00043913617,0.0011250447,0.000788246,0.0012989517],"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":[0.0005850751,0.00033308612,0.9587138,0.00017251958,0.00032601965,0.0006649037,0.0015555569,0.008239853,0.00018641508,0.003567297,0.013166006,0.012489415],"study_design_scores_gemma":[0.00007586519,0.00010665842,0.9842568,0.000058101887,0.0001030496,0.00013901452,0.0015192739,0.006493737,0.00010193844,0.0008584151,0.0062656305,0.000021551008],"about_ca_topic_score_codex":0.061226897,"about_ca_topic_score_gemma":0.049489323,"teacher_disagreement_score":0.061226897,"about_ca_system_score_codex":0.00097610627,"about_ca_system_score_gemma":0.0005090473,"threshold_uncertainty_score":0.12174106},"labels":[],"label_agreement":null}]}