{"meta":{"query_hash":"2c100c7508f5","filters":{"venue":"Regional Science and Urban Economics"},"cohort_total":24,"direct_labels_cover":0,"predictions_cover":24,"exported":24,"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/2c100c7508f5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Regional+Science+and+Urban+Economics"},"results":[{"id":"W1515925473","doi":"10.1016/j.regsciurbeco.2009.07.003","title":"The minimum circuity frontier and the journey to work","year":2009,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University; University of Minnesota","keywords":"Destinations; Residence; Frontier; Work (physics); Metropolitan area; Selection (genetic algorithm); Geography; Economic geography; Transport engineering; Regional science; Computer science; Engineering; Demographic economics; Economics; Tourism; Artificial intelligence","score_opus":0.03235347733171719,"score_gpt":0.2768056619209053,"score_spread":0.2444521845891881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515925473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370971,0.00070506724,0.000023556599,0.052878972,0.00018404846,0.00019473035,0.0000011321786,0.000011131465,0.008904283],"genre_scores_gemma":[0.99528635,0.00052363233,0.000043203265,0.002720101,0.00024442252,0.0000034985937,2.1582028e-7,0.000001841097,0.001176724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99904835,0.000038352202,0.00015496668,0.0002594168,0.00018415137,0.00031473432],"domain_scores_gemma":[0.99933696,0.00015397994,0.000062698775,0.00016754578,0.00006849376,0.00021032362],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0025706065,0.000072589086,0.0001086627,0.00002871672,0.0023192624,0.0004679013,0.00048081102,0.00003522175,0.0000072319276],"category_scores_gemma":[0.00012009497,0.000041853582,0.00003544083,0.0002752414,0.0028848993,0.00038817932,0.000028827468,0.000090617774,0.000004382852],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023501327,0.00005478006,0.39774278,0.0000022764557,0.000015673564,0.0000013419392,0.020768585,0.0000109670145,0.000015893054,0.44264698,0.04084341,0.097662315],"study_design_scores_gemma":[0.00030768468,0.000020915462,0.6713023,0.0000072966577,0.000009079284,7.833955e-7,0.0017483212,0.00007127373,0.00000464001,0.042939067,0.28345296,0.00013566577],"about_ca_topic_score_codex":0.00016579124,"about_ca_topic_score_gemma":0.00056536356,"teacher_disagreement_score":0.3997079,"about_ca_system_score_codex":0.00007423774,"about_ca_system_score_gemma":0.0002849224,"threshold_uncertainty_score":0.9998287},"labels":[],"label_agreement":null},{"id":"W1586146496","doi":"10.1016/s0166-0462(00)00056-9","title":"The Economics of Fiscal Federalism and Local Finance,","year":2000,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fiscal federalism; Economics; Federalism; Financial system; Political science; Market economy; Politics; Decentralization","score_opus":0.01227789470175122,"score_gpt":0.22738312140919206,"score_spread":0.21510522670744084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586146496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97950965,0.00034079855,0.00003010757,0.004474916,0.000078838595,0.00008868394,0.000004087357,0.0000059576932,0.015466984],"genre_scores_gemma":[0.97311383,0.02436268,0.000044956047,0.00054152653,0.000082639395,0.000002761077,7.9211134e-7,0.0000028896663,0.0018478939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992821,0.000015526448,0.00015815123,0.00019523215,0.000112800175,0.00023619302],"domain_scores_gemma":[0.99966234,0.000072880306,0.00007068831,0.00008860649,0.000028315002,0.00007714959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005339506,0.000060925206,0.00009109994,0.0000180217,0.0009258312,0.0001392974,0.00018374316,0.00004320202,0.000018708708],"category_scores_gemma":[0.000021622984,0.000049229362,0.000020636742,0.00010871435,0.0025737523,0.0004321281,0.00002776559,0.0000380691,0.00000447732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002926666,0.000016495665,0.0099686505,0.0000020480343,0.0000034960724,2.2799486e-7,0.0011889071,0.0002756585,0.0000029788619,0.8648508,0.0035607838,0.12010069],"study_design_scores_gemma":[0.00021813055,0.00004214959,0.029926885,0.000008325743,0.00000414859,0.0000028473473,0.00083774794,0.0052279434,0.000037908514,0.015064965,0.9485046,0.00012430984],"about_ca_topic_score_codex":0.0003126868,"about_ca_topic_score_gemma":0.0005523685,"teacher_disagreement_score":0.94494385,"about_ca_system_score_codex":0.00010641415,"about_ca_system_score_gemma":0.0002126234,"threshold_uncertainty_score":0.9483098},"labels":[],"label_agreement":null},{"id":"W1999493439","doi":"10.1016/j.regsciurbeco.2010.10.001","title":"Fifty years of urban accessibility: The impact of the urban railway network on the land gradient in Berlin 1890–1936","year":2010,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Endogeneity; Decentralization; Economics; Benchmark (surveying); Comparative statics; Transport network; Explanatory power; Econometrics; Quarter (Canadian coin); Economic geography; Regional science; Geography; Transport engineering; Microeconomics; Cartography; Engineering","score_opus":0.027743865832739373,"score_gpt":0.22938594826958741,"score_spread":0.20164208243684803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999493439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99062,0.00015637965,0.000002300784,0.0012438786,0.00043069024,0.00026522428,0.000037747825,0.0000049013165,0.007238838],"genre_scores_gemma":[0.99910784,0.00026033566,0.00003364266,0.00027430183,0.00020354966,0.000009153873,0.0000015971912,0.000013057533,0.00009653138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984763,0.000028636778,0.0006175078,0.00042620164,0.000055495715,0.00039581975],"domain_scores_gemma":[0.99826086,0.00035067298,0.00055781024,0.00070662133,0.00003683694,0.000087207736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029702964,0.00016006373,0.0003554153,0.000121132194,0.00026374613,0.0001180709,0.00097629323,0.000093715746,0.00005390954],"category_scores_gemma":[0.00022133556,0.00010225564,0.00018625805,0.0004270339,0.001287856,0.00026735672,0.00018765258,0.00032640595,0.000011194015],"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":[0.00003744402,0.00005915193,0.91658115,0.000004408117,0.00001870363,1.7905747e-7,0.0006583636,0.0013370904,0.000010522816,0.07672348,0.0033275278,0.0012419665],"study_design_scores_gemma":[0.0003034819,0.0000666539,0.9554006,0.000017666622,0.000004408215,0.0000034403715,0.000055765,0.013643929,0.000020339698,0.0208722,0.009442651,0.00016887304],"about_ca_topic_score_codex":0.0006555764,"about_ca_topic_score_gemma":0.00057763595,"teacher_disagreement_score":0.05585128,"about_ca_system_score_codex":0.00015883184,"about_ca_system_score_gemma":0.00022185314,"threshold_uncertainty_score":0.4745159},"labels":[],"label_agreement":null},{"id":"W2002795577","doi":"10.1016/j.regsciurbeco.2015.01.002","title":"An anatomy of the geographical concentration of Canadian manufacturing industries","year":2015,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Manufacturing; Economic geography; Business; Location; Agricultural economics; Geography; Marketing; Economics; Geodesy","score_opus":0.0421064177372151,"score_gpt":0.21779022099785914,"score_spread":0.17568380326064403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002795577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929844,0.00022488066,0.000016345808,0.0031439112,0.00010686105,0.00007881651,0.000050596107,0.0000025538232,0.0033916219],"genre_scores_gemma":[0.99931824,0.00025818837,0.00007488618,0.00025709716,0.000046514753,0.000002339412,0.0000050414515,0.0000047389412,0.00003297519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990557,0.0000077067625,0.0004167936,0.0002726958,0.00004739822,0.00019973374],"domain_scores_gemma":[0.99904615,0.000017285516,0.00033209432,0.00024125467,0.000088394256,0.00027483652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007045274,0.00008538605,0.0002401666,0.0004030375,0.00013748172,0.0000558541,0.00038029536,0.000068946625,0.00001281467],"category_scores_gemma":[0.000041842257,0.000077845376,0.000060235532,0.0004229004,0.00085827505,0.00043005086,0.000039318336,0.00007504552,0.000002774998],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007275679,0.000020538999,0.3064977,0.0000032610922,0.000019394785,1.4442352e-7,0.00022449117,0.0010029261,0.000014947273,0.6911748,0.00040888385,0.00062560977],"study_design_scores_gemma":[0.0009806242,0.00022359692,0.6564662,0.000026954645,0.000026360567,0.00001727343,0.0009880973,0.047592323,0.0047260406,0.117212,0.17112114,0.00061938574],"about_ca_topic_score_codex":0.05242185,"about_ca_topic_score_gemma":0.014849477,"teacher_disagreement_score":0.5739628,"about_ca_system_score_codex":0.00012793664,"about_ca_system_score_gemma":0.00047296216,"threshold_uncertainty_score":0.9538882},"labels":[],"label_agreement":null},{"id":"W2009120606","doi":"10.1016/j.regsciurbeco.2006.03.008","title":"Some foundations for Zipf's law: Product proliferation and local spillovers","year":2006,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Zipf's law; Romer; Economics; Skew; Econometrics; Endogenous growth theory; Product (mathematics); Distribution (mathematics); Mathematical economics; Simple (philosophy); Neoclassical economics; Mathematics; Computer science; Geography; Statistics; Economic growth","score_opus":0.02715542163516975,"score_gpt":0.21436931637342893,"score_spread":0.18721389473825917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009120606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695658,0.0022577704,0.004094133,0.015854772,0.00035564665,0.0006454351,0.00014244417,0.000032169475,0.007051814],"genre_scores_gemma":[0.9962428,0.0005603933,0.00086982065,0.0010492112,0.0005356959,0.000043790787,0.000042154068,0.0000132183095,0.0006429218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986039,0.0000034560712,0.00044256274,0.0006306707,0.000034662175,0.00028475188],"domain_scores_gemma":[0.9993472,0.000043256172,0.00024177461,0.0001779997,0.00007712511,0.0001126494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006158856,0.00014202936,0.00027624075,0.00020674583,0.0005306373,0.00031040897,0.00015882541,0.000049525977,0.000008879834],"category_scores_gemma":[0.000029436747,0.00015837575,0.00007475684,0.00013317299,0.00083639636,0.0010323776,0.000049112372,0.000053560012,0.00002014078],"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":[0.000010873082,0.000026863263,0.006512538,0.0000075976627,0.000013196095,1.2194717e-7,0.000029454575,0.00070067565,0.000019803605,0.9909516,0.0012308122,0.0004964894],"study_design_scores_gemma":[0.0006059751,0.000089235786,0.019355651,0.0000059892222,0.000014354935,0.0000127312705,0.00004927469,0.10435649,0.00008634506,0.6004427,0.27456626,0.00041498945],"about_ca_topic_score_codex":0.0009885825,"about_ca_topic_score_gemma":0.0004818975,"teacher_disagreement_score":0.3905089,"about_ca_system_score_codex":0.00019501019,"about_ca_system_score_gemma":0.00010213797,"threshold_uncertainty_score":0.6458376},"labels":[],"label_agreement":null},{"id":"W2039099427","doi":"10.1016/j.regsciurbeco.2010.01.001","title":"Capital-tax financing and scale economies in public-input production","year":2010,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Aoyama Gakuin University","keywords":"Allocative efficiency; Economics; Tax competition; Public capital; Production (economics); Microeconomics; Capital (architecture); Economies of scale; Competition (biology); Public finance; Returns to scale; Scale (ratio); Tax revenue; Monetary economics; Finance; Double taxation; Public economics; Ad valorem tax; Macroeconomics; Public investment","score_opus":0.016158654991777655,"score_gpt":0.22945165640569457,"score_spread":0.2132930014139169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039099427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881329,0.000060077826,0.000010915971,0.007566512,0.00032334978,0.00011924039,0.0000015884854,0.000011735044,0.0037736665],"genre_scores_gemma":[0.9976256,0.0011088654,0.00018481065,0.0002740459,0.00017521721,0.000006386513,0.0000010367295,0.0000032290484,0.0006208049],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99914694,0.00001123462,0.00013663154,0.00031339168,0.00011735788,0.00027446044],"domain_scores_gemma":[0.99965256,0.00002553948,0.00007208845,0.00009106559,0.000046366877,0.00011239385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008809591,0.000065645414,0.00008957377,0.000086723536,0.00048737065,0.0002154317,0.00013030379,0.000056766403,0.00001176954],"category_scores_gemma":[0.00017181374,0.00006767438,0.000012208572,0.00019623073,0.0010896506,0.0014242948,0.00004253233,0.00008149567,0.0000052551086],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000092444,0.00004467615,0.43564963,0.000006756166,0.0000018403308,5.795236e-7,0.006424681,0.000057213852,0.0005046322,0.52965707,0.0019056888,0.025737982],"study_design_scores_gemma":[0.0004559166,0.00005104763,0.60032356,0.000024776156,0.0000053992385,0.000013056874,0.005446566,0.0035318716,0.00056876184,0.028972017,0.36014172,0.0004653406],"about_ca_topic_score_codex":0.0006349493,"about_ca_topic_score_gemma":0.01292333,"teacher_disagreement_score":0.50068504,"about_ca_system_score_codex":0.0001516696,"about_ca_system_score_gemma":0.0003834547,"threshold_uncertainty_score":0.7211522},"labels":[],"label_agreement":null},{"id":"W2044010886","doi":"10.1016/j.regsciurbeco.2008.05.012","title":"FDI location and size: Does employment protection legislation matter?","year":2008,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Employment protection legislation; Legislation; Foreign direct investment; Flexibility (engineering); Business; Work (physics); Labour economics; Investment (military); Job creation; International economics; Economics; Economic growth; Unemployment; Politics; Political science","score_opus":0.032847698613204225,"score_gpt":0.21118767355124915,"score_spread":0.17833997493804493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044010886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99394524,0.00021369837,0.00082365377,0.002769832,0.00018132257,0.00019678222,0.000019327957,0.000016033837,0.0018341177],"genre_scores_gemma":[0.9975344,0.00088129006,0.00024291888,0.0005054323,0.00009870116,0.00001947074,0.0000037226555,0.000008360698,0.0007057305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998987,0.00000820601,0.00032637714,0.00043831312,0.000041482563,0.00019859336],"domain_scores_gemma":[0.9994197,0.000031965235,0.00021487592,0.00016893035,0.00006909661,0.00009546892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074714737,0.00010542037,0.00016580398,0.00009341924,0.000388533,0.00010818279,0.000110236615,0.0000534962,0.000027390348],"category_scores_gemma":[0.00006732296,0.00010042381,0.000022332364,0.00019964243,0.00040507966,0.000684096,0.00005410713,0.00006775351,0.00002833098],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027590573,0.0000575055,0.44132265,0.000022306936,0.000013795356,9.828456e-7,0.0006560331,0.00008934462,0.000082702834,0.5555201,0.00025552546,0.0019514166],"study_design_scores_gemma":[0.00036248664,0.00005433031,0.8663375,0.000010849597,0.0000028204909,0.000032663054,0.00004997901,0.012567069,0.000043212738,0.101424895,0.018823633,0.00029057165],"about_ca_topic_score_codex":0.00036126978,"about_ca_topic_score_gemma":0.000043275784,"teacher_disagreement_score":0.45409524,"about_ca_system_score_codex":0.00017616211,"about_ca_system_score_gemma":0.00006896303,"threshold_uncertainty_score":0.4095164},"labels":[],"label_agreement":null},{"id":"W2055494086","doi":"10.1016/j.regsciurbeco.2010.05.003","title":"Recent spatial growth dynamics in wages and housing costs: Proximity to urban production externalities and consumer amenities","year":2010,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Lethbridge","funders":"","keywords":"Metropolitan area; Urban hierarchy; Externality; Attractiveness; Economics; Productivity; Wage; Production (economics); Economic geography; Labour economics; Economies of agglomeration; Hedonic pricing; Geography; Economic growth; Microeconomics; Population","score_opus":0.023097294814060743,"score_gpt":0.21007541039400002,"score_spread":0.18697811557993926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055494086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98907286,0.0007466145,0.00007175165,0.008440701,0.00030065927,0.0002349035,0.000049359,0.000012669507,0.0010704758],"genre_scores_gemma":[0.99156135,0.006889369,0.00048050095,0.00064976554,0.00018638627,0.000022084418,0.000007866293,0.000014983123,0.00018770075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983701,0.000010043498,0.00049319875,0.00073753967,0.000051373914,0.0003377434],"domain_scores_gemma":[0.99920326,0.000053718075,0.00023519904,0.00019417795,0.000094009236,0.0002196464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000930184,0.0001930528,0.00038065214,0.0004753281,0.00030992858,0.00035948178,0.00018124687,0.00008322719,0.000015012109],"category_scores_gemma":[0.00016913743,0.00021484272,0.000034969675,0.00021470826,0.00092134683,0.0007985259,0.00014370422,0.00018883485,0.0000069577713],"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":[0.000037623475,0.000042317915,0.5385437,0.000017267956,0.000020432237,0.0000013392354,0.00068011234,0.000022171602,0.000042251966,0.4487552,0.00022114528,0.011616457],"study_design_scores_gemma":[0.0015527863,0.0003191551,0.629828,0.00010854204,0.000041068535,0.00014056827,0.0035227044,0.10555868,0.0003060223,0.14741725,0.10909877,0.0021064617],"about_ca_topic_score_codex":0.0035698086,"about_ca_topic_score_gemma":0.010376708,"teacher_disagreement_score":0.30133796,"about_ca_system_score_codex":0.0003789189,"about_ca_system_score_gemma":0.000091408685,"threshold_uncertainty_score":0.87610316},"labels":[],"label_agreement":null},{"id":"W2082824878","doi":"10.1016/s0166-0462(00)00076-4","title":"Theory of Public Finance in a Federal State","year":2001,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"State (computer science); Public finance; Economics; Finance; Business; Computer science; Macroeconomics","score_opus":0.05960768088447498,"score_gpt":0.22043955959838624,"score_spread":0.16083187871391125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082824878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9515756,0.00070155243,0.00008465877,0.0016570643,0.00010126525,0.00008906722,0.000024883448,0.000007852682,0.045758102],"genre_scores_gemma":[0.9979869,0.00064536306,0.00012200347,0.00069869915,0.0000583508,0.000008281857,0.0000018724631,0.000008904847,0.0004696248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985918,0.000010203012,0.000522627,0.00042655048,0.000024675799,0.0004241479],"domain_scores_gemma":[0.9993439,0.00006213712,0.00025614572,0.00020708788,0.000025374478,0.00010536417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016091508,0.00011767151,0.00030594404,0.00037203907,0.00012449839,0.000085188694,0.00032775287,0.000050999817,0.000026377096],"category_scores_gemma":[0.000099879,0.00013626351,0.00005043454,0.0003330647,0.00071572914,0.0008138645,0.00008574458,0.00009689036,0.000048376107],"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":[0.000015062112,0.000034050685,0.27563882,0.000004369988,0.0000043237433,8.953858e-7,0.00023214119,0.000030671974,0.0000043579826,0.72173613,0.00027199523,0.0020271582],"study_design_scores_gemma":[0.00041836724,0.00004256591,0.31104463,0.000007506595,4.336543e-7,0.000014502617,0.00007725791,0.0033385602,0.00001865075,0.6607276,0.024121044,0.0001888532],"about_ca_topic_score_codex":0.00008837324,"about_ca_topic_score_gemma":0.00007122123,"teacher_disagreement_score":0.061008528,"about_ca_system_score_codex":0.00017356558,"about_ca_system_score_gemma":0.00011458533,"threshold_uncertainty_score":0.5556665},"labels":[],"label_agreement":null},{"id":"W2094813588","doi":"10.1016/j.regsciurbeco.2003.09.002","title":"Information, agglomeration, and the headquarters of U.S. exporters","year":2004,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"World Bank Group","keywords":"Economies of agglomeration; Quarter (Canadian coin); Point (geometry); Business; Economic geography; Home market; Test (biology); Industrial organization; Economics; Microeconomics; Market economy; Geography; Biology","score_opus":0.013919727111396543,"score_gpt":0.18055973806855666,"score_spread":0.1666400109571601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094813588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735463,0.0006859333,0.0009770305,0.020791078,0.00008464733,0.00015493044,0.000023807577,0.000006798593,0.0037294505],"genre_scores_gemma":[0.99643433,0.0015622057,0.00022075103,0.0016818113,0.000039665676,0.000009451505,0.0000059454255,0.0000036867575,0.00004216025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990562,0.0000037759094,0.0005480902,0.00019265807,0.000037803067,0.00016144125],"domain_scores_gemma":[0.9992389,0.000036126417,0.00038577503,0.00017448941,0.00007226733,0.00009241496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088445743,0.00009561348,0.00027063777,0.00021492444,0.00025483643,0.00014518962,0.00019804537,0.000034582925,0.000011123057],"category_scores_gemma":[0.000049292656,0.00008127488,0.00006624113,0.00019543654,0.0013994892,0.0010115505,0.000047283705,0.00005147162,0.000018457638],"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":[0.000017207798,0.000008543222,0.005496578,0.000004580899,0.000019890766,5.35232e-8,0.0009929998,0.00055123045,0.0000022755644,0.9919848,0.00027642862,0.00064541335],"study_design_scores_gemma":[0.0053060395,0.00016910805,0.09012647,0.000027375947,0.000029431478,0.00005198881,0.001987749,0.030954428,0.00008020268,0.7353791,0.13520306,0.0006850517],"about_ca_topic_score_codex":0.00068803283,"about_ca_topic_score_gemma":0.00005034699,"teacher_disagreement_score":0.2566057,"about_ca_system_score_codex":0.00008639832,"about_ca_system_score_gemma":0.000103709914,"threshold_uncertainty_score":0.51564765},"labels":[],"label_agreement":null},{"id":"W2121122696","doi":"10.1016/j.regsciurbeco.2006.06.002","title":"Regional wage and employment responses to market potential in the EU","year":2006,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage; Labour economics; Economics; Business","score_opus":0.026204754685230442,"score_gpt":0.21221919934626066,"score_spread":0.1860144446610302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121122696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95439696,0.0007432513,0.00006644951,0.038140018,0.000081588194,0.00019055093,0.00003646997,0.000007655975,0.006337068],"genre_scores_gemma":[0.99277574,0.00076654804,0.0002971599,0.0045559816,0.00020114688,0.00002723972,0.0000064172204,0.00001103149,0.0013587506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99834675,0.000020655845,0.00053005415,0.00065483025,0.00007186074,0.00037583945],"domain_scores_gemma":[0.9992765,0.000100771475,0.00018747196,0.0002669772,0.00003555384,0.00013268419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016418115,0.00017057674,0.00030527898,0.00046029812,0.0003248909,0.00031410292,0.00041474387,0.000060215727,0.000043478456],"category_scores_gemma":[0.000038313578,0.00015633642,0.00007822059,0.00034404232,0.0004891808,0.00037430672,0.00011725899,0.0001025016,0.00003660815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009611479,0.000084195526,0.08307566,0.000004242661,0.000016784961,0.0000078330695,0.00027784024,0.0004841094,0.000025430438,0.8943698,0.020703802,0.0008541848],"study_design_scores_gemma":[0.00039689217,0.00007878702,0.6228897,0.000008587642,0.000005910969,0.000040477982,0.00017450063,0.010872517,0.000004211433,0.04317136,0.32202533,0.00033172424],"about_ca_topic_score_codex":0.0024082873,"about_ca_topic_score_gemma":0.000877057,"teacher_disagreement_score":0.85119843,"about_ca_system_score_codex":0.00016522588,"about_ca_system_score_gemma":0.000084286796,"threshold_uncertainty_score":0.6375214},"labels":[],"label_agreement":null},{"id":"W2149230698","doi":"10.1016/s0166-0462(01)00108-9","title":"Asymmetric information and product differentiation","year":2003,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Information asymmetry; Product differentiation; Distortion (music); Incentive; Asymmetry; Product (mathematics); Complete information; Yield (engineering); Microeconomics; Economics; Computer science; Mathematics; Telecommunications; Cournot competition","score_opus":0.05667768581986354,"score_gpt":0.29263471667906915,"score_spread":0.2359570308592056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149230698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98971486,0.000121657344,0.00075607095,0.001348501,0.000073542564,0.000110913024,0.0000029014832,0.0000090677495,0.007862482],"genre_scores_gemma":[0.998957,0.000121083875,0.00033560427,0.0003273826,0.000022764088,0.0000060472057,0.0000013915728,0.0000012800531,0.00022745194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991578,0.000025164081,0.00023127123,0.00023339124,0.00022576284,0.00012661787],"domain_scores_gemma":[0.9992448,0.00017252212,0.00013284331,0.0001901214,0.00016014471,0.00009954905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002167108,0.000057353653,0.00008022254,0.0002870229,0.00033110453,0.00036488197,0.00019414695,0.00001821654,0.000015637195],"category_scores_gemma":[0.00094920094,0.000044622782,0.000013997272,0.00067403296,0.00037855798,0.0014719338,0.000038665396,0.00003985708,0.00005648258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037423122,0.000013619957,0.018921781,0.0000012139071,0.0000015881078,2.3490669e-8,0.00020505385,0.000028939376,0.00009410665,0.89726096,0.002151454,0.081317484],"study_design_scores_gemma":[0.00024948944,0.000034179528,0.28182647,0.0000028645118,0.000005823406,0.000031062376,0.00043308435,0.0036559477,0.00081929343,0.30352288,0.4092339,0.00018499463],"about_ca_topic_score_codex":0.000002927087,"about_ca_topic_score_gemma":0.00000223336,"teacher_disagreement_score":0.5937381,"about_ca_system_score_codex":0.000031111147,"about_ca_system_score_gemma":0.000112185895,"threshold_uncertainty_score":0.3518565},"labels":[],"label_agreement":null},{"id":"W2198806713","doi":"10.1016/j.regsciurbeco.2015.12.003","title":"Strategic interaction in political competition: Evidence from spatial effects across Chinese cities","year":2015,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":337,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Peking University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Competition (biology); Promotion (chess); Economic geography; Investment (military); Ranking (information retrieval); Tournament; Local government; Economics; Politics; China; Spatial econometrics; Geography; Political science; Econometrics","score_opus":0.06367492468045848,"score_gpt":0.32996920595779394,"score_spread":0.26629428127733545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198806713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936463,0.0001222865,0.00012614972,0.0021066682,0.00038199074,0.00010307326,0.0000052003948,0.000014025279,0.0034942857],"genre_scores_gemma":[0.99879205,0.00026063717,0.000041896048,0.00047658887,0.0003564065,0.0000056346375,0.000004590732,0.0000027199405,0.00005948701],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989469,0.000047024303,0.000147803,0.00024890262,0.00028045182,0.00032892983],"domain_scores_gemma":[0.9993964,0.00017506913,0.00006199745,0.000077155644,0.00007845096,0.00021096486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059559767,0.00007574503,0.00010996092,0.00003645063,0.00024226525,0.0002303897,0.00016649903,0.000051099454,0.00001240547],"category_scores_gemma":[0.00024027775,0.00007102955,0.000018355322,0.00020148829,0.0008301835,0.0012135742,0.000046308178,0.00006843021,0.000015320697],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067353714,0.000050771112,0.45091748,0.00000641504,0.0000026897915,0.0000046939326,0.007988385,0.00016421359,0.00004434055,0.5394984,0.00022768533,0.0010276003],"study_design_scores_gemma":[0.0014042135,0.0002483527,0.76453954,0.0003062876,0.000010204027,0.0000076892575,0.031082517,0.018204913,0.00021028204,0.17136237,0.012022541,0.0006010749],"about_ca_topic_score_codex":0.009882848,"about_ca_topic_score_gemma":0.0077996426,"teacher_disagreement_score":0.368136,"about_ca_system_score_codex":0.0006256128,"about_ca_system_score_gemma":0.00049186836,"threshold_uncertainty_score":0.9967104},"labels":[],"label_agreement":null},{"id":"W2221183396","doi":"10.1016/j.regsciurbeco.2015.10.004","title":"Household-specific housing capital gains and consumption: Evidence from Canadian microdata","year":2015,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Wilfrid Laurier University; Western University","funders":"","keywords":"Microdata (statistics); Economics; Consumption (sociology); Proxy (statistics); Marginal propensity to consume; Liberian dollar; Capital (architecture); Durable good; Demographic economics; Labour economics; Microeconomics; Monetary economics; Population","score_opus":0.17183301741671986,"score_gpt":0.24040426696929157,"score_spread":0.06857124955257171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221183396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890138,0.0050051045,0.00006115168,0.0017622975,0.0005025195,0.00012958603,0.00018675644,0.000028005585,0.003310782],"genre_scores_gemma":[0.9889432,0.008844487,0.0010156131,0.00074661546,0.00030166883,0.0000047966078,0.000018741111,0.00002417094,0.000100657686],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817044,0.000010233658,0.00044070638,0.0008179098,0.00004363098,0.0005170996],"domain_scores_gemma":[0.99849296,0.000085228836,0.00021060096,0.000392477,0.000052666735,0.00076609664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012196252,0.00019991532,0.00033393438,0.00035048675,0.00041626644,0.00059049984,0.0003939971,0.00010790844,0.00004219824],"category_scores_gemma":[0.00010065308,0.00024957894,0.000038916878,0.00015742729,0.00091525464,0.0014150628,0.00015260768,0.00013870737,0.00016948482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051624604,0.00003159011,0.91401494,0.0000131589595,0.000029223309,0.000012524253,0.002340419,0.0001797274,0.00004807984,0.06431437,0.015158052,0.0038063002],"study_design_scores_gemma":[0.0016235437,0.00013712356,0.39033303,0.00013094753,0.000020648413,0.00012776462,0.0011385734,0.014302159,0.000079393074,0.036567364,0.55374986,0.0017896233],"about_ca_topic_score_codex":0.02164556,"about_ca_topic_score_gemma":0.01630993,"teacher_disagreement_score":0.5385918,"about_ca_system_score_codex":0.00070902513,"about_ca_system_score_gemma":0.0004676159,"threshold_uncertainty_score":0.99999565},"labels":[],"label_agreement":null},{"id":"W2946434093","doi":"10.1016/j.regsciurbeco.2019.05.002","title":"City size and the risk of being unemployed. Job pooling vs. job competition","year":2019,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Pooling; Economics; Unemployment; Labour economics; Competition (biology); Quartile; Wage; Economies of agglomeration; Spatial mismatch; Demographic economics; Microeconomics","score_opus":0.014966091669760451,"score_gpt":0.19114935665937757,"score_spread":0.17618326498961712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946434093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884937,0.000580493,0.00010210442,0.0038167636,0.00013892305,0.00016863026,0.000035898884,0.0000075494872,0.0066559366],"genre_scores_gemma":[0.9937572,0.0049066814,0.00023574593,0.00062984554,0.00009183777,0.000005729392,0.0000025334045,0.000009953093,0.00036046965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985916,0.000017423023,0.0005753179,0.0005066395,0.00005178132,0.00025723947],"domain_scores_gemma":[0.9986687,0.0003315629,0.0005360116,0.00028079582,0.00007039032,0.000112569796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846419,0.00014792047,0.0005054994,0.0001721394,0.00032677097,0.00015556888,0.00031843508,0.00006378372,0.000063023195],"category_scores_gemma":[0.00014360607,0.0001288029,0.00013912052,0.00022025291,0.0010525199,0.00043807318,0.00014125658,0.00013414594,0.000031798478],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036613223,0.00000787147,0.362965,0.0000068842846,0.00003573007,1.0008837e-7,0.0001797273,0.00036088246,0.000009132937,0.6362162,0.00004887207,0.00013297521],"study_design_scores_gemma":[0.0017355214,0.000091901486,0.63472193,0.000027737573,0.000037901762,0.000013770959,0.00022008875,0.078363724,0.000027834842,0.2694663,0.014878789,0.00041445784],"about_ca_topic_score_codex":0.0016290796,"about_ca_topic_score_gemma":0.00016047384,"teacher_disagreement_score":0.3667499,"about_ca_system_score_codex":0.00009781729,"about_ca_system_score_gemma":0.00006907387,"threshold_uncertainty_score":0.525243},"labels":[],"label_agreement":null},{"id":"W3125311456","doi":"10.1016/j.regsciurbeco.2020.103627","title":"150 years of the geography of innovation","year":2021,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economic geography; Persistence (discontinuity); Regional science; Geography; Human geography; Engineering","score_opus":0.026805729061358818,"score_gpt":0.1996227910728652,"score_spread":0.1728170620115064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125311456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934152,0.0005732234,0.000059119706,0.0018851863,0.00012344331,0.000044570937,0.00003586393,0.00000211599,0.003861289],"genre_scores_gemma":[0.99847615,0.0007022208,0.00025239296,0.00039998305,0.000036652047,0.000002080276,0.0000043002156,0.0000047058707,0.00012149648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99898267,0.000004913319,0.0005644443,0.0002762182,0.000040498508,0.00013128083],"domain_scores_gemma":[0.9989625,0.00003360384,0.00052142097,0.00025786838,0.00018838575,0.000036184785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058012706,0.00006468283,0.00024570507,0.00025570396,0.000087079476,0.000031539184,0.00026337296,0.000040092054,0.000030312558],"category_scores_gemma":[0.00011208141,0.000066072076,0.00009604518,0.0009922954,0.0006219827,0.00020561703,0.000104430925,0.000051870808,0.0000047765247],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029610578,0.000025111261,0.21380875,0.000005849581,0.000023177172,1.4231179e-7,0.000050061448,0.00017188641,0.00012527968,0.7846099,0.00022490037,0.0009519654],"study_design_scores_gemma":[0.0002869321,0.000028973274,0.8196497,0.000015363426,0.000009546279,0.0000075317544,0.00007519177,0.004889609,0.0010345692,0.122423775,0.05139375,0.00018504947],"about_ca_topic_score_codex":0.00018152966,"about_ca_topic_score_gemma":0.00002666771,"teacher_disagreement_score":0.66218615,"about_ca_system_score_codex":0.000043513355,"about_ca_system_score_gemma":0.00017704992,"threshold_uncertainty_score":0.2694341},"labels":[],"label_agreement":null},{"id":"W3172226794","doi":"10.1016/j.regsciurbeco.2021.103711","title":"Urban economics in a historical perspective: Recovering data with machine learning","year":2021,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche; Centre for Economic Policy Research","keywords":"Exploit; Perspective (graphical); Data science; Flexibility (engineering); Computer science; Quality (philosophy); Artificial intelligence; Epistemology; Economics; Computer security","score_opus":0.06850432648639783,"score_gpt":0.32026485871243143,"score_spread":0.2517605322260336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172226794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96237224,0.0020156403,0.00070043147,0.014100751,0.00023492628,0.00011535908,0.000009864024,0.000035479075,0.02041533],"genre_scores_gemma":[0.98557496,0.0024746526,0.0068766368,0.00048281695,0.00044918028,0.000004647427,0.000024060511,0.000012997824,0.0041000526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987244,0.00009034433,0.00018427007,0.0005842483,0.0001469667,0.00026975275],"domain_scores_gemma":[0.9991671,0.0002332258,0.00009961747,0.00019496775,0.000149084,0.00015603709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016064208,0.00009359754,0.0001921033,0.00015027706,0.0005567117,0.00018681341,0.0003875106,0.000039609655,0.000032138592],"category_scores_gemma":[0.00034661585,0.00009379884,0.000029640014,0.0005276982,0.0004153497,0.0007661353,0.00019560946,0.00015877667,0.0000036231002],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008121235,0.000179027,0.34206727,0.000009598779,0.00006518467,0.00003214345,0.011054662,0.007301076,0.000047142425,0.6028724,0.0021377013,0.03415263],"study_design_scores_gemma":[0.00050233107,0.000056221576,0.02533598,0.000023135754,0.000026493673,0.00003099316,0.0054634535,0.1071679,0.000010564137,0.010977364,0.8499655,0.00044007902],"about_ca_topic_score_codex":0.0029790113,"about_ca_topic_score_gemma":0.01012693,"teacher_disagreement_score":0.8478278,"about_ca_system_score_codex":0.0014489463,"about_ca_system_score_gemma":0.0013761055,"threshold_uncertainty_score":0.56510645},"labels":[],"label_agreement":null},{"id":"W4387307421","doi":"10.1016/j.regsciurbeco.2023.103948","title":"Measuring the value of rent stabilization and understanding its implications for racial inequality: Evidence from New York City","year":2023,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Gentrification; Economics; Inequality; Distribution (mathematics); Value (mathematics); Scope (computer science); Public economics; Demographic economics; Labour economics; Economic growth","score_opus":0.3998562762351768,"score_gpt":0.2948660915559802,"score_spread":0.10499018467919657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387307421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880999,0.00073652517,0.005293829,0.0047462108,0.00020147862,0.00026698477,0.00008129614,0.000020750183,0.0005530592],"genre_scores_gemma":[0.9971367,0.0022012442,0.00029692784,0.00013180601,0.00015078763,0.000012521713,0.000008960738,0.0000098290675,0.00005121186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998904,0.000009465514,0.00042366376,0.0004078159,0.00002910481,0.00022594383],"domain_scores_gemma":[0.9989257,0.00041611932,0.00030405348,0.00021137329,0.000039528943,0.00010321066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017809881,0.00009630816,0.00021810697,0.0001560392,0.00042193392,0.00015603668,0.00024495632,0.00005068582,0.000006970097],"category_scores_gemma":[0.0003961568,0.00009805343,0.000045714016,0.00031056112,0.00028272162,0.00049547374,0.00010062734,0.00005238897,0.000004933923],"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":[0.000046397403,0.000014595016,0.22714666,0.000028867938,0.000023715316,3.529765e-8,0.0028787877,0.0010989273,0.0001612904,0.7650161,0.0012292563,0.0023554126],"study_design_scores_gemma":[0.0005713757,0.00007527697,0.2923755,0.00007751099,0.000020982752,0.0000020048954,0.00086378265,0.09923069,0.0001544405,0.59772056,0.008509741,0.0003981055],"about_ca_topic_score_codex":0.00028736398,"about_ca_topic_score_gemma":0.0001548344,"teacher_disagreement_score":0.16729549,"about_ca_system_score_codex":0.0002662715,"about_ca_system_score_gemma":0.00018029746,"threshold_uncertainty_score":0.39985028},"labels":[],"label_agreement":null},{"id":"W4389091963","doi":"10.1016/j.regsciurbeco.2023.103968","title":"The environmental impacts of protected area policy","year":2023,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Mack Institute for Innovation Management, Wharton School, University of Pennsylvania; Svenska Forskningsrådet Formas; H2020 European Research Council; Agence Nationale de la Recherche; European Commission; Engineering Research Centers; University of Pennsylvania","keywords":"Deforestation (computer science); Biodiversity; Protected area; Environmental resource management; Land use; Empirical evidence; Natural resource economics; Land cover; Ecosystem services; Business; Environmental planning; Geography; Economics; Ecosystem; Ecology","score_opus":0.015296940584755512,"score_gpt":0.1898087452397306,"score_spread":0.1745118046549751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389091963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946655,0.000018492261,0.0000014361218,0.0035879666,0.000025444324,0.00014340594,0.000005897644,0.000012418632,0.0015394544],"genre_scores_gemma":[0.99831253,0.0004808133,0.000021326126,0.00025939365,0.000023753166,0.0000037493126,0.0000025343513,0.0000022866784,0.00089361536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993372,0.0000087750095,0.000100121346,0.00018333297,0.00016450712,0.00020605544],"domain_scores_gemma":[0.9996723,0.000034622877,0.00006773009,0.00013884353,0.0000037289444,0.00008277401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000403836,0.000059665228,0.000053490618,0.00006152651,0.0005591572,0.00004233571,0.0002674901,0.000017976974,0.000033224023],"category_scores_gemma":[0.00002981523,0.000043113538,0.000023083576,0.00033376215,0.0013457182,0.00014259714,0.00033600934,0.000031764477,0.0000702429],"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":[0.000015437145,0.000022926683,0.9833145,0.0000032669052,0.000007944289,7.930741e-7,0.00069235533,0.00029016522,0.0024709082,0.0005946944,0.0044664824,0.008120507],"study_design_scores_gemma":[0.000095887466,0.000024112484,0.9155794,0.0000019412957,0.0000025328964,0.000001948922,0.000360954,0.0024790452,0.00011498449,0.00039150784,0.08088732,0.000060394294],"about_ca_topic_score_codex":0.00025829813,"about_ca_topic_score_gemma":0.00006431991,"teacher_disagreement_score":0.076420836,"about_ca_system_score_codex":0.0001791843,"about_ca_system_score_gemma":0.000041201183,"threshold_uncertainty_score":0.49583545},"labels":[],"label_agreement":null},{"id":"W4405557369","doi":"10.1016/j.regsciurbeco.2024.104075","title":"The elected official next door","year":2024,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Business","score_opus":0.022452908839258455,"score_gpt":0.2629997010437091,"score_spread":0.24054679220445066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405557369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9276147,0.0030876796,0.0002484023,0.027056126,0.0013571166,0.00027385235,0.000004624085,0.000110337016,0.040247202],"genre_scores_gemma":[0.9909641,0.0055475663,0.00001916743,0.00061937363,0.00044866733,0.000004145412,0.0000010584677,0.0000037721338,0.0023921167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921834,0.000014912401,0.000097637174,0.00019381485,0.00021327783,0.00026199815],"domain_scores_gemma":[0.9996815,0.000096444914,0.000025648085,0.00006550339,0.00004872215,0.000082227314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065994647,0.000048329155,0.00004568797,0.000027942431,0.0011441518,0.00070371915,0.00020344395,0.000031834366,0.000016267899],"category_scores_gemma":[0.0000904709,0.00003525551,0.000021549573,0.0003560281,0.0009962097,0.000604654,0.00002687092,0.0000492368,0.000032382715],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006058288,0.000005447963,0.0006472467,0.0000012908812,0.0000025872353,6.370249e-7,0.00091881375,0.000010626322,0.000037991194,0.9583438,0.017309869,0.022715632],"study_design_scores_gemma":[0.00003385188,0.000013118674,0.002634692,0.0000067566916,0.0000029458522,0.000001134969,0.00054925075,0.003857654,0.000027582546,0.0058882274,0.9869191,0.00006569005],"about_ca_topic_score_codex":0.0001843843,"about_ca_topic_score_gemma":0.0005438197,"teacher_disagreement_score":0.9696092,"about_ca_system_score_codex":0.00022290609,"about_ca_system_score_gemma":0.0007935389,"threshold_uncertainty_score":0.88000065},"labels":[],"label_agreement":null},{"id":"W4406572723","doi":"10.1016/j.regsciurbeco.2025.104087","title":"Leases over real property","year":2025,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Property (philosophy); Real property; Business; Economics; Law and economics; Law; Political science","score_opus":0.03125522079255963,"score_gpt":0.21950638245644574,"score_spread":0.1882511616638861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406572723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6031947,0.00026610403,0.000046768808,0.0016809038,0.00037117655,0.000111349254,0.000013959883,0.000031230913,0.39428383],"genre_scores_gemma":[0.9846988,0.0038959498,0.00029712068,0.001801259,0.0001580537,0.000013423889,0.0000048589945,0.000013836594,0.009116749],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986288,0.0000046892624,0.00040147855,0.00057677156,0.00002371026,0.00036454626],"domain_scores_gemma":[0.99935025,0.000042968575,0.00015476193,0.00028587625,0.000037583814,0.0001285701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080542883,0.0001428207,0.00028326435,0.00032105576,0.00036144216,0.00024829144,0.00033890727,0.00007335743,0.000079399084],"category_scores_gemma":[0.00007729054,0.00013585613,0.00006249718,0.0002806372,0.0006314067,0.0006447048,0.00013749559,0.0000905013,0.000103264436],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027068423,0.000047163707,0.18485232,0.000015932555,0.000018555915,8.2110813e-7,0.00011910885,0.00004654126,0.000017698125,0.78611475,0.020969316,0.0077707027],"study_design_scores_gemma":[0.0005288892,0.000040258663,0.0893946,0.000021371892,0.000006125241,0.000006310596,0.00008225871,0.015507857,0.000029029605,0.059503905,0.83448654,0.0003928486],"about_ca_topic_score_codex":0.00051413034,"about_ca_topic_score_gemma":0.00008039914,"teacher_disagreement_score":0.8135172,"about_ca_system_score_codex":0.00030714308,"about_ca_system_score_gemma":0.00024475384,"threshold_uncertainty_score":0.5540052},"labels":[],"label_agreement":null},{"id":"W4411627445","doi":"10.1016/j.regsciurbeco.2025.104128","title":"Spatial wage differentials, geographic frictions and the organization of labor within firms","year":2025,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Rotman School of Management, University of Toronto; Kraks Fond","keywords":"Wage; Labour economics; Economics; Low wage; Spatial mismatch; Economic geography","score_opus":0.01061042673318237,"score_gpt":0.18408429664756054,"score_spread":0.17347386991437816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411627445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98795724,0.00089986646,0.0011655448,0.008119979,0.00021350342,0.00014559898,0.00004684918,0.000009010617,0.0014423868],"genre_scores_gemma":[0.99602145,0.002877646,0.00008958719,0.00060185255,0.000053543557,0.000007985854,0.0000092899145,0.0000066201897,0.00033199668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998868,0.000011020165,0.00053974503,0.00038547954,0.000033061984,0.00016270194],"domain_scores_gemma":[0.99916214,0.000092265596,0.00035287053,0.00021855025,0.00010769725,0.00006649147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007438511,0.00011658925,0.0003457243,0.00035898678,0.00043083812,0.00014774459,0.00026060615,0.000058855083,0.000028360175],"category_scores_gemma":[0.00012554409,0.000098302364,0.0000667439,0.000564204,0.0011702182,0.0002513829,0.00012078918,0.000079802245,0.0000056132108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001087736,0.000019760806,0.18262772,0.0000058569663,0.000043839682,6.313201e-8,0.0001747494,0.00012129008,0.000011965821,0.8165487,0.00013764246,0.00029754126],"study_design_scores_gemma":[0.0016952493,0.000043068987,0.717432,0.000026200014,0.000060026134,0.0000057802968,0.00030439068,0.08522927,0.00012350318,0.18169647,0.013034286,0.00034973858],"about_ca_topic_score_codex":0.0018330744,"about_ca_topic_score_gemma":0.00033248603,"teacher_disagreement_score":0.63485223,"about_ca_system_score_codex":0.000053738182,"about_ca_system_score_gemma":0.00010310243,"threshold_uncertainty_score":0.43117175},"labels":[],"label_agreement":null},{"id":"W4412425312","doi":"10.1016/j.regsciurbeco.2025.104127","title":"Urban pull: The roles of amenities and employment","year":2025,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economic geography; Labour economics; Business; Economics; Demographic economics","score_opus":0.02554411742038499,"score_gpt":0.2113875708105997,"score_spread":0.1858434533902147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412425312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96815115,0.0046438295,0.00011287038,0.012780838,0.00012540036,0.00013562402,0.000037536083,0.000008175096,0.014004563],"genre_scores_gemma":[0.9936186,0.0033672897,0.00008489745,0.0013647393,0.000055514458,0.000012931033,0.0000027532567,0.0000059183967,0.0014873667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888,0.000006513584,0.00046540712,0.00039599428,0.00003379789,0.00021823306],"domain_scores_gemma":[0.9992908,0.000083282255,0.0002569394,0.00023934816,0.000054324275,0.00007528191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007207178,0.0001243239,0.00032113455,0.0002817857,0.00031992633,0.0001522455,0.00033020863,0.00004432554,0.000016869026],"category_scores_gemma":[0.00003809602,0.00010804856,0.00007629967,0.0002328481,0.0011831047,0.00027679963,0.00014910196,0.00007130462,0.0000074784434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009235194,0.000018768045,0.056899264,0.000007283467,0.00004329172,1.4082578e-7,0.00029643552,0.000055452754,0.000010798487,0.93824387,0.002567941,0.0018474993],"study_design_scores_gemma":[0.00056396826,0.000103977996,0.11537761,0.000035520727,0.00003417149,0.000008964152,0.0011357362,0.026990086,0.00015550066,0.22091706,0.63423854,0.00043887913],"about_ca_topic_score_codex":0.00041801852,"about_ca_topic_score_gemma":0.0002837133,"teacher_disagreement_score":0.7173268,"about_ca_system_score_codex":0.000093314266,"about_ca_system_score_gemma":0.00010569443,"threshold_uncertainty_score":0.44060925},"labels":[],"label_agreement":null},{"id":"W943121014","doi":"10.1016/j.regsciurbeco.2015.07.004","title":"Sports facilities, agglomeration, and public subsidies","year":2015,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subsidy; Monopolistic competition; Economies of agglomeration; Business; Welfare; Consumption (sociology); Competition (biology); Service (business); Production (economics); Property tax; Industrial organization; Economics; Microeconomics; Finance; Market economy; Marketing; Monopoly; Revenue","score_opus":0.05954792683890385,"score_gpt":0.2690794215431976,"score_spread":0.20953149470429372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W943121014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98377985,0.0007449792,0.000009208534,0.004154507,0.0001418424,0.00009146216,0.000006193124,0.000028163895,0.011043808],"genre_scores_gemma":[0.99744374,0.0004754794,0.00008841074,0.00029583607,0.00015303858,0.000003889491,0.0000038040446,0.0000026509529,0.0015331529],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989674,0.00001679843,0.00015788552,0.00031010355,0.00025508675,0.0002927076],"domain_scores_gemma":[0.99920064,0.0000292667,0.00006106188,0.00010711483,0.00020761922,0.00039430702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012716298,0.00007820324,0.00011215034,0.00008049061,0.0006868452,0.00030976202,0.00017804175,0.000045525754,0.000025803367],"category_scores_gemma":[0.00010300519,0.0000739353,0.000016929376,0.00020413041,0.0024785672,0.0015124428,0.000032162254,0.000051107767,0.0000032733737],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052658074,0.000016050411,0.91020983,0.0000035404637,0.0000022679571,8.0961655e-7,0.0059221517,0.0000011400426,0.0000035801531,0.079044946,0.002188459,0.0026019607],"study_design_scores_gemma":[0.00026673762,0.000029946461,0.31709486,0.0000066052603,0.0000061496326,0.000003088882,0.015867315,0.00015658759,0.000014199009,0.02447679,0.64180565,0.00027204226],"about_ca_topic_score_codex":0.0009255187,"about_ca_topic_score_gemma":0.002524648,"teacher_disagreement_score":0.6396172,"about_ca_system_score_codex":0.0001292921,"about_ca_system_score_gemma":0.0010965394,"threshold_uncertainty_score":0.9132384},"labels":[],"label_agreement":null}]}