{"meta":{"query_hash":"7904f3c8077b","filters":{"venue":"Brookings-Wharton papers on urban affairs"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/7904f3c8077b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Brookings-Wharton+papers+on+urban+affairs"},"results":[{"id":"W1985344502","doi":"10.1353/urb.2006.0024","title":"Understanding Trends in the Black-White Achievement Gaps during the First Years of School","year":2006,"lang":"en","type":"article","venue":"Brookings-Wharton papers on urban affairs","topic":"School Choice and Performance","field":"Social Sciences","cited_by":79,"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":"White (mutation); Quarter (Canadian coin); Reading (process); Academic achievement; Literacy; Separate but equal; Mathematics education; Psychology; Sociology; Race (biology); Political science; Pedagogy; Gender studies; Law; History","score_opus":0.03178321945732886,"score_gpt":0.2598789764791033,"score_spread":0.22809575702177443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985344502","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":[0.8961897,0.017050406,0.00078747026,0.030702315,0.0006251112,0.00006783587,0.026904982,0.00009642579,0.027575763],"genre_scores_gemma":[0.9765905,0.006722911,0.0005069391,0.0017846265,0.0004914809,0.0001156487,0.010075032,0.000038412407,0.003674437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991406,0.00008724786,0.00006500873,0.00017208254,0.00027199785,0.00026292383],"domain_scores_gemma":[0.9939182,0.0007158496,0.002132224,0.00018440676,0.0022021853,0.00084718905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018291955,0.00019990021,0.00030705877,0.003831701,0.0008188796,0.0012655925,0.0007229036,0.000894458,0.002954576],"category_scores_gemma":[0.006944338,0.00021930422,0.0003583989,0.0047526616,0.00032683313,0.0020571698,0.0010917718,0.0014865827,0.0008715056],"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":[0.00014216008,0.00011883086,0.90219,0.00020565816,0.00006871246,0.000044956665,0.004277088,0.00012745577,0.00020237958,0.002040403,0.035576023,0.055006236],"study_design_scores_gemma":[0.0000017844335,0.000024156432,0.9930895,0.00007754024,0.0000072752723,0.000012153429,0.0013623365,0.00006353584,0.00005977503,0.00012168118,0.005175733,0.000004625291],"about_ca_topic_score_codex":0.090682484,"about_ca_topic_score_gemma":0.11810837,"teacher_disagreement_score":0.090682484,"about_ca_system_score_codex":0.0011540854,"about_ca_system_score_gemma":0.0017767113,"threshold_uncertainty_score":0.1803093},"labels":[],"label_agreement":null},{"id":"W2107832004","doi":"10.1353/urb.2008.a249793","title":"Prospects for Urban Road Pricing in Canada","year":2008,"lang":"en","type":"article","venue":"Brookings-Wharton papers on urban affairs","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":19,"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":"Geography; Road pricing; Transport engineering; Engineering; Traffic congestion","score_opus":0.013271088141448091,"score_gpt":0.22589198960661466,"score_spread":0.21262090146516657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107832004","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16558865,0.02424587,0.003011835,0.21427947,0.0008295448,0.0002523483,0.0033365234,0.00036297613,0.5880927],"genre_scores_gemma":[0.8910528,0.018874792,0.004059286,0.010749268,0.00025995847,0.000068444446,0.0015332074,0.0000739297,0.07332837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972115,0.00017982272,0.000040706167,0.00012738457,0.0009089979,0.0015315966],"domain_scores_gemma":[0.9964728,0.00029867035,0.00013872623,0.00008342069,0.0018925036,0.0011137598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014257975,0.00038439978,0.00035488268,0.0013555391,0.0043636477,0.006500487,0.0016662999,0.0017859872,0.013773688],"category_scores_gemma":[0.0032406775,0.00024408197,0.00068760244,0.0033315243,0.0021352852,0.0013729032,0.001310778,0.0017406952,0.00063053484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000262163,0.00023390345,0.031150233,0.0002918252,0.00004984166,0.001045873,0.0012686368,0.011291283,0.0005399743,0.5679052,0.21139678,0.17456435],"study_design_scores_gemma":[0.00012565429,0.00014907749,0.11885665,0.0009120567,0.00010124549,0.00037773585,0.0082419235,0.028275447,0.000885113,0.07476079,0.7670144,0.00029990266],"about_ca_topic_score_codex":0.989894,"about_ca_topic_score_gemma":0.99216896,"teacher_disagreement_score":0.10136318,"about_ca_system_score_codex":0.10136318,"about_ca_system_score_gemma":0.17759973,"threshold_uncertainty_score":0.7354448},"labels":[],"label_agreement":null},{"id":"W2117275110","doi":"10.1353/urb.2009.a271144","title":"A Reconsideration of the NAS Rule from an Industrial Agglomeration Perspective","year":2009,"lang":"en","type":"article","venue":"Brookings-Wharton papers on urban affairs","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Murata Science Foundation; Connaught Fund; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Economies of agglomeration; Economic geography; Context (archaeology); Population; Urban agglomeration; Economics; Empirical research; Economy; Econometrics; Geography; Microeconomics; Mathematics; Statistics; Sociology; Demography","score_opus":0.029402396264865755,"score_gpt":0.21752086782231683,"score_spread":0.18811847155745107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117275110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30650085,0.0031760652,0.5060651,0.026913954,0.0019472605,0.00014719882,0.0019089123,0.0006300492,0.1527107],"genre_scores_gemma":[0.93278694,0.00094354234,0.05148993,0.0017098596,0.0010538028,0.00009262306,0.00057668425,0.00017187739,0.011174717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99601436,0.00078425405,0.0003539974,0.0016413035,0.00093425415,0.00027196045],"domain_scores_gemma":[0.9841084,0.007075683,0.0022053493,0.0035635547,0.0024049177,0.0006419738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050765653,0.0003166877,0.0013326241,0.0014677101,0.0018524253,0.0029258567,0.0036033685,0.0018205512,0.0055356342],"category_scores_gemma":[0.027915683,0.0002499183,0.0013375564,0.001821582,0.006535193,0.004951137,0.0018622112,0.003423244,0.0010384495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005686718,0.000033195553,0.021597486,0.00006573184,0.000038326198,0.00044539652,0.0010072236,0.00454532,0.00046505113,0.9346978,0.0044876784,0.032560017],"study_design_scores_gemma":[0.000037360132,0.00012236185,0.021002224,0.000086353306,0.00003619787,0.000944822,0.0009026443,0.035627343,0.0009633146,0.88556224,0.054632004,0.0000830797],"about_ca_topic_score_codex":0.010407583,"about_ca_topic_score_gemma":0.008173116,"teacher_disagreement_score":0.010407583,"about_ca_system_score_codex":0.0015782882,"about_ca_system_score_gemma":0.0015675849,"threshold_uncertainty_score":0.02684778},"labels":[],"label_agreement":null}]}