{"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":"95a99724bf53","filters":{"venue":"Stato e mercato"}},"results":[{"id":"W2965098085","doi":"10.1425/93581","title":"Income inequality and stagnation in Italy over the last quarter of a century","year":2019,"lang":"en","type":"article","venue":"Stato e mercato","topic":"Italy: Economic History and Contemporary Issues","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Recession; Economics; Inequality; Business cycle; Quarter (Canadian coin); Economic inequality; Poverty; Currency; Demographic economics; Population; Economic stagnation; Development economics; Geography; Monetary economics; Keynesian economics; Economic growth; Political science; Demography","authors":[{"name":"Andrea Brandolini","is_ca":false},{"name":"Romina Gambacorta","is_ca":false},{"name":"Alfonso Rosolia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01499475706452877,"gpt":0.2133002364845323,"spread":0.1983054794200035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005539561,0.0001750463,0.0002940166,0.001675983,0.0005972417,0.001525015,0.0002579066,0.0004622258,0.003007338],"category_scores_gemma":[0.001611982,0.00009231069,0.0002173355,0.003206849,0.0007383445,0.0008717863,0.001239075,0.0008573286,0.0004313119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137431,"about_ca_system_score_gemma":0.00061354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642624,"about_ca_topic_score_gemma":0.0160489,"domain_scores_codex":[0.9996872,0.00004947875,0.00001649857,0.00005720389,0.00005179916,0.000137807],"domain_scores_gemma":[0.9994038,0.00006600516,0.000321993,0.00002842732,0.00005984508,0.0001198891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007536699,0.000123494,0.7706361,0.0005966482,0.0001482759,0.001669617,0.01301396,0.00170774,0.000595226,0.03642923,0.03810492,0.1362211],"study_design_scores_gemma":[0.000006939018,0.00003132214,0.9664652,0.0001419936,0.00001409632,0.0002596446,0.0009400152,0.0002696948,0.00004392141,0.0009692183,0.0308497,0.000008137097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149992,0.02371137,0.0004611321,0.01601735,0.0003080054,0.00001480837,0.003275049,0.00005336994,0.04115982],"genre_scores_gemma":[0.9917712,0.00367141,0.0001230189,0.000387038,0.000578595,0.0000104768,0.00151642,0.00001896822,0.001922904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642624,"threshold_uncertainty_score":0.03266126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3015465072","doi":"","title":"Mettersi gli occhiali adeguati per studiare le disuguaglianze in Italia","year":2019,"lang":"it","type":"article","venue":"Stato e mercato","topic":"Italian Social Issues and Migration","field":"Social Sciences","cited_by":0,"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); Inequality; Social inequality; Social class; Sociology; Class (philosophy); Order (exchange); Political science; Geography; Economics; Epistemology; Mathematics","authors":[{"name":"Emmanuele Pavolini","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01397715799533855,"gpt":0.2965622977849581,"spread":0.2825851397896195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008854813,0.0005135812,0.0002979928,0.001197565,0.001266146,0.003020473,0.0004104134,0.001066681,0.004413944],"category_scores_gemma":[0.001549128,0.0001312762,0.0002668941,0.001317728,0.002122981,0.0009822395,0.00121803,0.001594438,0.001054777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002665486,"about_ca_system_score_gemma":0.001181481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00365953,"about_ca_topic_score_gemma":0.006455197,"domain_scores_codex":[0.9992989,0.0003285317,0.00002524364,0.0001263463,0.0000986972,0.0001221227],"domain_scores_gemma":[0.9993796,0.0003450423,0.00009024207,0.00004615646,0.00006289448,0.0000760617],"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":[0.0001049894,0.00007381256,0.005765463,0.001220329,0.00003277616,0.0005710751,0.0268039,0.000419557,0.001003293,0.4377611,0.4181891,0.1080546],"study_design_scores_gemma":[0.000008410962,0.00003126119,0.01038241,0.0009306208,0.00001431136,0.0001621589,0.002246169,0.0002436172,0.000233379,0.01167372,0.9740624,0.00001154038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05021542,0.2952505,0.002013327,0.2861613,0.0239861,0.00004661133,0.0002496708,0.0001225775,0.3419544],"genre_scores_gemma":[0.6407007,0.1125958,0.001744104,0.01825776,0.03156649,0.0001669756,0.0002606867,0.0002577759,0.1944498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004413944,"threshold_uncertainty_score":0.01933956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}