{"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":"1322d002256e","filters":{"venue":"European yearbook of constitutional law"}},"results":[{"id":"W3147535569","doi":"10.1007/978-94-6265-431-0_14","title":"Urbanization, Megacities, Constitutional Silence","year":2021,"lang":"en","type":"book-chapter","venue":"European yearbook of constitutional law","topic":"Immigration Law and Human Rights","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Megacity; Urbanization; Geopolitics; Silence; Geography; Economic geography; Population; Urban agglomeration; Development economics; Political science; Economy; Economic growth; Sociology; Demography; Economics; Politics; Art; Law","authors":[{"name":"Ran Hirschl","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02511978945897935,"gpt":0.2417217597186344,"spread":0.216601970259655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004630296,0.0002576206,0.0003313133,0.0001048038,0.0009135332,0.0001077336,0.000346237,0.0001673768,0.01190375],"category_scores_gemma":[0.000076841,0.0002779962,0.0001952593,0.00004358089,0.01915289,0.0002537786,0.00007603673,0.0002798203,0.0009211526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144977,"about_ca_system_score_gemma":0.002595901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006436229,"about_ca_topic_score_gemma":0.0002519769,"domain_scores_codex":[0.997783,0.0001595159,0.0005434744,0.0003793989,0.0009056407,0.000228971],"domain_scores_gemma":[0.9982893,0.000132281,0.0003232324,0.0002662691,0.0008407029,0.0001481547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006413139,0.00001993619,0.000004123352,0.00001843918,0.00006768647,0.0000729553,0.0003062324,0.00002024067,0.00001592511,0.9914281,0.007993123,0.00004685168],"study_design_scores_gemma":[0.0001841532,0.00001337497,0.000008037033,0.0003179587,0.00005082975,0.00001148471,0.00003548247,6.491449e-7,0.0000357163,0.05610108,0.9429479,0.0002933564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005856626,0.001250154,0.001776611,0.0002336425,0.0007407629,0.0002221954,0.0002771143,0.00009467712,0.995399],"genre_scores_gemma":[0.1087701,0.0002004902,0.0004587917,0.0006202321,0.0013238,0.000002748531,0.0004927703,0.00002317705,0.8881079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.935327,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405270047","doi":"10.1007/978-94-6265-647-5_9","title":"Artificial Free Thought: Automated Courts and the Independent Algorithm","year":2024,"lang":"en","type":"book-chapter","venue":"European yearbook of constitutional law","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Algorithm","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02307377396855103,"gpt":0.2008010407925913,"spread":0.1777272668240402,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00118097,0.000271581,0.000748029,0.000152338,0.0001761172,0.000150185,0.0003991443,0.0001754092,0.000467166],"category_scores_gemma":[0.00003267317,0.000286874,0.0002676076,0.00001953568,0.005219655,0.0001043745,0.0002835902,0.000359093,0.002824904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009715295,"about_ca_system_score_gemma":0.00008849094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001587802,"about_ca_topic_score_gemma":0.00003517952,"domain_scores_codex":[0.9979393,0.0000286693,0.001185602,0.0005288761,0.0001045105,0.0002130166],"domain_scores_gemma":[0.9986553,0.00009699827,0.0006165215,0.0004823975,0.00005550081,0.00009324485],"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":[0.00002321893,0.00001143983,0.00000399125,0.00003791039,0.0002621399,0.00004378477,0.00005718589,0.00001458915,7.936113e-7,0.9957808,0.003500466,0.0002637085],"study_design_scores_gemma":[0.0003487387,0.00001639526,0.00001033673,0.0001139973,0.00003292626,0.00002610834,0.000002498593,0.000432031,0.00000343571,0.5201226,0.4786807,0.0002102129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001763246,0.006668601,0.0006171952,0.0004200498,0.001758074,0.0004010491,0.001880565,0.0001441363,0.9880927],"genre_scores_gemma":[0.41826,0.001529509,0.0007370761,0.001363499,0.006284674,0.00002823462,0.000294468,0.0002836993,0.5712188],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4756581,"threshold_uncertainty_score":0.9999583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}