{"meta":{"query_hash":"9310772d6b1b","filters":{"topic":"Regional Economics and Spatial Analysis"},"cohort_total":782,"direct_labels_cover":1,"predictions_cover":782,"exported":782,"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/9310772d6b1b","api":"https://metacan.xera.ac/api/v1/cohort?topic=Regional+Economics+and+Spatial+Analysis"},"results":[{"id":"W131143920","doi":"10.1111/jors.12269","title":"CITIES, WAGES, AND THE URBAN HIERARCHY","year":2016,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"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":"International Development Research Centre","keywords":"Urban hierarchy; Hierarchy; Wage; Productivity; Contrast (vision); Construct (python library); Economics; Real wages; Demographic economics; Labour economics; Economic growth; Population; Sociology; Demography; Computer science","score_opus":0.026528333594303122,"score_gpt":0.2041175420427565,"score_spread":0.17758920844845338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W131143920","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":[0.81437236,0.008535263,0.006501765,0.15841946,0.0005566278,0.00010992625,0.000019432475,0.0000065088234,0.011478665],"genre_scores_gemma":[0.9948327,0.002611355,0.00036305535,0.0007290576,0.00022845785,0.0000012490947,1.01812084e-7,0.0000041894464,0.0012298557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999046,0.000013046716,0.00048938347,0.00017065326,0.00010423541,0.00017665607],"domain_scores_gemma":[0.99885064,0.0001926054,0.0005928532,0.0001447139,0.00009635544,0.00012282887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002013454,0.00007402294,0.00027542916,0.00024899858,0.00020035495,0.00009544529,0.00047500178,0.000024623443,0.00006721565],"category_scores_gemma":[0.00020137642,0.000038221904,0.00014589986,0.00025128978,0.0014822516,0.00045736964,0.00006673276,0.00008085702,0.000024221483],"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":[0.000044128596,0.000009969028,0.013046964,0.0000013347864,0.000026195645,0.0000028965649,0.00013503541,0.000007350867,0.00005710168,0.9813562,0.0028142822,0.0024985294],"study_design_scores_gemma":[0.0019468202,0.000107941574,0.039164644,0.000041535517,0.000011868675,0.00018929828,0.000080605554,0.0010054441,0.00004119065,0.58197397,0.37523922,0.0001974825],"about_ca_topic_score_codex":0.00013117347,"about_ca_topic_score_gemma":0.0000142376375,"teacher_disagreement_score":0.39938226,"about_ca_system_score_codex":0.000088190915,"about_ca_system_score_gemma":0.00008616635,"threshold_uncertainty_score":0.5461418},"labels":[],"label_agreement":null},{"id":"W1479862238","doi":"","title":"Villes et croissance : le cerveau gauche des villes nord-américaines : scientifiques et ingénieurs et croissance urbaine","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.07817131448979936,"score_gpt":0.31705019586690325,"score_spread":0.2388788813771039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479862238","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":[0.81590855,0.010315363,0.00061808986,0.04705229,0.0013366052,0.0013616671,0.0012830193,0.00011068275,0.12201375],"genre_scores_gemma":[0.70404464,0.2702493,0.0046019196,0.0010090194,0.0003377841,0.00041334127,0.00037638383,0.0002462167,0.018721351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9888945,0.0009416815,0.0036288248,0.0038562117,0.00031143872,0.0023673407],"domain_scores_gemma":[0.9925526,0.0018044456,0.0019363124,0.0024514666,0.0005880552,0.0006671628],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00923567,0.0013178772,0.002957392,0.0023099955,0.0011536233,0.0013340263,0.0025982778,0.0010990201,0.00033418392],"category_scores_gemma":[0.0020896513,0.0017038874,0.0013954234,0.0010751867,0.0033115593,0.0012532803,0.002440217,0.0031729576,0.00015965605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045692993,0.0022272284,0.21464992,0.0009758123,0.0014310068,0.00022578302,0.0071345726,0.23081583,0.00020335463,0.4891426,0.0030992415,0.04963774],"study_design_scores_gemma":[0.0031721226,0.0004911114,0.2075239,0.0018738122,0.000054295037,0.0001586788,0.0023303241,0.13394044,0.0004790116,0.083178975,0.56233585,0.0044614705],"about_ca_topic_score_codex":0.018394606,"about_ca_topic_score_gemma":0.037911743,"teacher_disagreement_score":0.55923665,"about_ca_system_score_codex":0.0022544584,"about_ca_system_score_gemma":0.0015202085,"threshold_uncertainty_score":0.99995726},"labels":[],"label_agreement":null},{"id":"W1481806842","doi":"10.2139/ssrn.1407018","title":"Innovation Capabilities: Comparing Science and Engineering Employment in Canadian and U.S. Cities","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Regional science; Economic geography; Engineering; Political science; Geography","score_opus":0.011319748154278896,"score_gpt":0.1855185385977759,"score_spread":0.174198790443497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481806842","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":[0.99458313,0.0022881704,0.00027722746,0.00096468703,0.000049158796,0.000039969465,0.000003224869,0.0000034674622,0.0017909581],"genre_scores_gemma":[0.99862474,0.0010687603,0.00004346929,0.00004045361,0.00005473377,0.0000029237297,0.0000015710073,0.000006327678,0.00015700147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985713,0.0000026456103,0.00035774458,0.00016941866,0.000031094405,0.0008678215],"domain_scores_gemma":[0.99973536,0.000011363656,0.00010129647,0.000056144043,0.000040210834,0.000055658686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017068298,0.000074107826,0.00017354361,0.000735453,0.00013950956,0.00014216626,0.00008578484,0.000026074653,0.000004070942],"category_scores_gemma":[0.000047324513,0.000086787,0.000015879901,0.00030603373,0.000074561976,0.00024027645,0.000018493583,0.0002804425,0.0000016725247],"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":[0.0000010612282,0.0000035887385,0.1682509,0.0000021440887,0.000008178551,3.487051e-7,0.0000622707,0.0007159305,0.000011146178,0.8307068,0.000004669216,0.00023296397],"study_design_scores_gemma":[0.00045664518,0.00006460804,0.2663143,0.000014223232,0.0000040436203,0.000055086857,0.00052903994,0.048307713,0.000011724345,0.6764236,0.0075261304,0.00029287892],"about_ca_topic_score_codex":0.45063466,"about_ca_topic_score_gemma":0.55445504,"teacher_disagreement_score":0.1542832,"about_ca_system_score_codex":0.0016933975,"about_ca_system_score_gemma":0.0005206178,"threshold_uncertainty_score":0.55302364},"labels":[],"label_agreement":null},{"id":"W1484481195","doi":"10.1093/jeg/4.2.131","title":"Spatial evolution of the US urban system","year":2004,"lang":"en","type":"preprint","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Economic and Social Research Council; University of Toronto; John D. and Catherine T. MacArthur Foundation; National Science Foundation","keywords":"Econometrics; Contrast (vision); Census; Distribution (mathematics); Population; Range (aeronautics); Market size; Economics; Population growth; Parametric statistics; Spatial dependence; Geography; Conditional probability distribution; Spatial distribution; Statistics; Mathematics; Demography","score_opus":0.011867768707029568,"score_gpt":0.18281933999291397,"score_spread":0.1709515712858844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484481195","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":[0.9726517,0.007064285,0.0054228324,0.0009784553,0.0058320565,0.00030884004,0.00049021933,0.000011214059,0.0072403545],"genre_scores_gemma":[0.9983551,0.0004015334,0.0002296804,0.000039827108,0.00087631523,0.000007447563,0.000007859605,0.000033718195,0.000048548893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99637246,0.000039738316,0.0028153674,0.00042464762,0.00006946474,0.00027830785],"domain_scores_gemma":[0.99193615,0.00003980615,0.0070464164,0.00071909087,0.00012702725,0.00013153789],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009967078,0.00033334678,0.0014929298,0.0010534427,0.000104706385,0.00010283124,0.0011513678,0.0003593898,0.00010835331],"category_scores_gemma":[0.00003027141,0.00030218935,0.0026093042,0.0001493848,0.00018264787,0.00015703817,0.0003528348,0.0006454676,0.000053817264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006063653,0.00011289719,0.6118299,0.00024285268,0.0015398018,0.0000041530084,0.000108408,0.14639518,0.000004180938,0.2390573,0.00052772823,0.00011697777],"study_design_scores_gemma":[0.0023270114,0.00030481268,0.66359615,0.00086882175,0.00049407774,0.0000914794,0.00017739521,0.023359219,0.00008541457,0.29672763,0.010869392,0.0010985984],"about_ca_topic_score_codex":0.009965664,"about_ca_topic_score_gemma":0.00047024048,"teacher_disagreement_score":0.12303595,"about_ca_system_score_codex":0.0011733511,"about_ca_system_score_gemma":0.00038426646,"threshold_uncertainty_score":0.999943},"labels":[],"label_agreement":null},{"id":"W1486347742","doi":"","title":"Estimation de l'élasticité prix de l'offre de logement au Canada","year":2009,"lang":"fr","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Philosophy","score_opus":0.012961366677667261,"score_gpt":0.19832179855485035,"score_spread":0.1853604318771831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486347742","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":[0.55280757,0.0026179566,0.3235343,0.07587037,0.00075961143,0.00020375334,0.00016782542,0.000022800963,0.044015765],"genre_scores_gemma":[0.96571857,0.0008442938,0.010262379,0.0054635443,0.00037528935,0.000009914004,0.00003772757,0.000018283214,0.017269986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804914,0.000024773004,0.00073856127,0.0003938113,0.000045326902,0.0007483731],"domain_scores_gemma":[0.9989756,0.00008531067,0.00035349443,0.0002668837,0.000033785363,0.0002849304],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000568245,0.00022128015,0.00046255428,0.00015569162,0.00017515272,0.000118918775,0.00026148825,0.00016480766,0.0012643274],"category_scores_gemma":[0.0001375779,0.0002936512,0.00018252026,0.00018934616,0.000048136575,0.00015981674,0.00003400787,0.00016291677,0.00014056877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016720014,0.00015385219,0.06384554,0.000040679162,0.00017825408,0.000026084062,0.00023957134,0.2077187,0.000010247129,0.6699549,0.014975672,0.042839818],"study_design_scores_gemma":[0.0003137559,0.00008593066,0.13531414,0.000030045005,0.000046504138,0.0000137919415,0.000052060193,0.7313948,0.000095894255,0.04170124,0.09061202,0.00033979164],"about_ca_topic_score_codex":0.86186594,"about_ca_topic_score_gemma":0.8314762,"teacher_disagreement_score":0.62825364,"about_ca_system_score_codex":0.004295267,"about_ca_system_score_gemma":0.0013535751,"threshold_uncertainty_score":0.99995154},"labels":[],"label_agreement":null},{"id":"W1488262682","doi":"","title":"Factors Affecting Regional Economic Performance in Canada","year":2001,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Economics; Shock (circulatory); Recession; Perspective (graphical); Economy; Macroeconomics; Economic geography","score_opus":0.03715826600834601,"score_gpt":0.19948923126195803,"score_spread":0.16233096525361201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488262682","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":[0.94338906,0.041294307,0.000010297027,0.002794344,0.00022949088,0.00016673838,0.000057476143,0.000002820493,0.012055464],"genre_scores_gemma":[0.9570867,0.041774098,0.000013447035,0.0008062224,0.00003394635,0.000006600626,0.00001773292,0.000012185645,0.00024909148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851465,0.000012299958,0.0008790969,0.00027411082,0.00004975463,0.00027007793],"domain_scores_gemma":[0.9990725,0.000068339104,0.00050146645,0.00024396682,0.00001726799,0.000096457545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304888,0.00015386411,0.00075041695,0.000086963795,0.000047245267,0.00000784338,0.00024220487,0.000026216003,0.00069580454],"category_scores_gemma":[0.000036129797,0.00016304842,0.00010937683,0.00016791247,0.000016348044,0.00010356441,0.000026075095,0.00009516985,0.0000071621166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006034208,0.000014110771,0.96443653,0.0006078862,0.00008494349,0.000009943088,0.00001813897,0.0031103545,3.3890296e-7,0.014938327,0.013513029,0.003260391],"study_design_scores_gemma":[0.00023445784,0.000017933588,0.50211775,0.0005396476,0.0000130305525,0.000007110673,0.00004292188,0.0046103494,0.000008975185,0.00035579095,0.4916478,0.00040422461],"about_ca_topic_score_codex":0.9985941,"about_ca_topic_score_gemma":0.99980307,"teacher_disagreement_score":0.47813478,"about_ca_system_score_codex":0.0016597641,"about_ca_system_score_gemma":0.001847735,"threshold_uncertainty_score":0.76185715},"labels":[],"label_agreement":null},{"id":"W1490509515","doi":"","title":"Agglomeration, Labor Supply, and the Urban Rat Race","year":2003,"lang":"en","type":"preprint","venue":"Syracuse University Libraries (Syracuse University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Connaught Fund; Syracuse University","keywords":"Rivalry; Economies of agglomeration; Race (biology); Productivity; Demographic economics; Labour economics; Economics; Sociology; Economic growth; Gender studies; Microeconomics","score_opus":0.011957374963931348,"score_gpt":0.1472168113695558,"score_spread":0.13525943640562446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490509515","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":[0.6138509,0.01376254,0.009927836,0.0923414,0.0041868677,0.0037659653,0.006377018,0.0007651829,0.2550223],"genre_scores_gemma":[0.72846067,0.029835176,0.0041659256,0.0021501954,0.00054190104,0.0000034812654,0.0009166689,0.00018106305,0.23374493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971858,0.00024714044,0.00060034014,0.001314315,0.00011040926,0.00054194377],"domain_scores_gemma":[0.99702793,0.0003238642,0.0010484086,0.001115005,0.00016183064,0.00032297653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049233256,0.0006258159,0.0013427321,0.001204604,0.0010960245,0.0006297315,0.0013497566,0.00059884985,0.00072557386],"category_scores_gemma":[0.00013168485,0.00068092,0.00062430004,0.0009212184,0.001209357,0.001442324,0.0015955503,0.0009316482,0.00020110792],"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":[0.0003905677,0.00008154216,0.016682435,0.000058691887,0.0006813917,0.00011804118,0.0015292715,0.00052734674,0.0000016471557,0.9658654,0.014000428,0.000063272135],"study_design_scores_gemma":[0.0034485052,0.000041677547,0.0015964091,0.000051048653,0.00030695376,0.000007629355,0.0016527702,0.0021692999,0.000021546548,0.050371636,0.9393159,0.0010166331],"about_ca_topic_score_codex":0.002096244,"about_ca_topic_score_gemma":0.0004745925,"teacher_disagreement_score":0.92531544,"about_ca_system_score_codex":0.00038750446,"about_ca_system_score_gemma":0.0003195627,"threshold_uncertainty_score":0.9995642},"labels":[],"label_agreement":null},{"id":"W1492171274","doi":"10.2139/ssrn.1407145","title":"Cities and Growth: In Situ Versus Migratory Human Capital Growth","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Statistics Canada","funders":"","keywords":"In situ; Human capital; Economic geography; Geography; Development economics; Economics; Business; Economic growth","score_opus":0.0191155975221622,"score_gpt":0.1970001382040929,"score_spread":0.17788454068193071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492171274","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":[0.9872419,0.00666209,0.0001983866,0.0008762061,0.0001418288,0.000044709766,0.00000677817,0.000008820283,0.0048192474],"genre_scores_gemma":[0.98209906,0.01694165,0.000022520864,0.00007421441,0.00020770688,0.0000043264363,0.0000056761355,0.000018742252,0.0006261006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981512,0.000016578248,0.00051557826,0.0002747719,0.000039784212,0.0010020843],"domain_scores_gemma":[0.9995033,0.000033782275,0.00024536956,0.00009671089,0.00003358978,0.00008725966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000655688,0.00015507617,0.00036880557,0.0004041947,0.00026133805,0.000052202937,0.00019171236,0.0000830528,0.000033967262],"category_scores_gemma":[0.000040671326,0.00017537248,0.00015410448,0.00014923853,0.00011342846,0.00028486838,0.000036504924,0.0007336816,0.00005296983],"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":[0.000028944734,0.000033142693,0.15652865,0.000003015008,0.000120111305,0.000009765971,0.0003229764,0.000007999036,0.000015842168,0.8428148,0.000048657468,0.00006610461],"study_design_scores_gemma":[0.0016928912,0.00028869222,0.072708234,0.0000056637205,0.000010852124,0.00015556472,0.000767272,0.00010116646,0.00003328446,0.92358714,0.0003203296,0.00032888734],"about_ca_topic_score_codex":0.0026356773,"about_ca_topic_score_gemma":0.009008627,"teacher_disagreement_score":0.08382041,"about_ca_system_score_codex":0.0005896583,"about_ca_system_score_gemma":0.00020494935,"threshold_uncertainty_score":0.7151482},"labels":[],"label_agreement":null},{"id":"W149325416","doi":"10.1016/b978-0-08-047163-1.00494-x","title":"New Urbanism and Smart Growth Movements","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","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":"University of Calgary; Dalhousie University","funders":"","keywords":"Urban sprawl; Smart growth; Urbanism; Growth management; New Urbanism; Context (archaeology); Economic geography; Political science; Geography; Urban planning; Environmental planning; Engineering; Land use; Civil engineering","score_opus":0.023380267170907753,"score_gpt":0.19085020656998092,"score_spread":0.16746993939907318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149325416","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009273652,0.010421317,0.00009358238,0.00031867088,0.0003265877,0.00021882437,0.00012275002,0.000022293883,0.98838323],"genre_scores_gemma":[0.0032464815,0.0023432663,0.000457323,0.00080949685,0.0005768981,0.000011638601,0.000044196546,0.00009010448,0.9924206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982215,0.0000038855665,0.0008011586,0.00059347745,0.00005156457,0.0003283819],"domain_scores_gemma":[0.998622,0.000025196003,0.00061419804,0.00040618563,0.000028922517,0.00030348563],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025460182,0.00040154386,0.00089234905,0.0002909754,0.00010459701,0.00010384413,0.0002538603,0.00031604737,0.0015745361],"category_scores_gemma":[0.000008750253,0.0004625208,0.0003405333,0.0000118198495,0.00006894735,0.00009714857,0.0001643073,0.0002705962,0.0014439573],"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":[0.00000428267,0.000005023074,0.0007112211,0.000023521652,0.00028900316,0.0000027426615,0.00007536615,1.8764729e-7,5.464786e-7,0.69072366,0.0006727987,0.30749163],"study_design_scores_gemma":[0.00018440702,0.000020185553,0.0003402754,0.00002509193,0.00003300523,0.000002563853,0.0000010103046,0.000024061257,0.000001756924,0.3350399,0.66397625,0.00035148187],"about_ca_topic_score_codex":0.00008627101,"about_ca_topic_score_gemma":0.00009015223,"teacher_disagreement_score":0.66330343,"about_ca_system_score_codex":0.000107093365,"about_ca_system_score_gemma":0.000035473542,"threshold_uncertainty_score":0.9997826},"labels":[],"label_agreement":null},{"id":"W1494388581","doi":"10.2139/ssrn.1427376","title":"An Anatomy of Growth and Decline: High-Tech Industries Through the Boom and Bust Years, 1997-2003","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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":"Statistics Canada","funders":"","keywords":"Bust; Boom; Business; Economics; Oceanography; Geology","score_opus":0.010706374112184846,"score_gpt":0.2209204059133438,"score_spread":0.21021403180115897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494388581","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":[0.9791795,0.010707676,0.002214329,0.0072189337,0.00006018233,0.000079041565,0.000029798979,0.0000070435303,0.00050350314],"genre_scores_gemma":[0.97324,0.025957007,0.00015956507,0.00036495348,0.00014078277,0.000001328314,0.000007512789,0.000010377999,0.00011843717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865687,0.000019863113,0.00046208908,0.00022186019,0.000041533985,0.0005977994],"domain_scores_gemma":[0.9993427,0.000025286605,0.0003683207,0.00015898563,0.000044295786,0.000060459945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000756348,0.00012398935,0.00033436224,0.00012012466,0.00015983995,0.0001060564,0.00023019168,0.00009791701,0.000016959051],"category_scores_gemma":[0.00005163041,0.00010665637,0.000055034656,0.0002796967,0.00010812353,0.00030245745,0.000028857718,0.00063417957,0.0000033531476],"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":[0.000018790486,0.000037145794,0.013752358,0.0000017587596,0.00010826603,0.0000011270503,0.00011342156,0.00002390387,0.000010903838,0.98066676,0.00012371827,0.005141867],"study_design_scores_gemma":[0.00052726787,0.00036978757,0.028602103,0.0000057734105,0.000026372612,0.00007235368,0.00039287005,0.00040525512,0.00004829048,0.96321046,0.0061656716,0.00017377286],"about_ca_topic_score_codex":0.0014332241,"about_ca_topic_score_gemma":0.0006118587,"teacher_disagreement_score":0.017456258,"about_ca_system_score_codex":0.00009254419,"about_ca_system_score_gemma":0.0002049617,"threshold_uncertainty_score":0.43493205},"labels":[],"label_agreement":null},{"id":"W1494839521","doi":"10.1093/jeg/2.4.373","title":"European regional policies in light of recent location theories","year":2002,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":165,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Regional policy; Unemployment; Economic geography; State (computer science); Regional science; Economics; Geography; Development economics; Political science; Economic growth","score_opus":0.03082707891036604,"score_gpt":0.20758362611693665,"score_spread":0.1767565472065706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494839521","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":[0.8790739,0.007182272,0.00038222945,0.011014066,0.00053310656,0.00009736555,0.000027453492,0.000006197059,0.10168337],"genre_scores_gemma":[0.991387,0.007836216,0.00021522566,0.00021690776,0.0002053785,0.0000013750189,0.0000026496791,0.000015312875,0.00011993039],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980562,0.00003454219,0.0015170985,0.0001814265,0.00003061572,0.00018013125],"domain_scores_gemma":[0.99800634,0.000050090337,0.0015789829,0.00020884411,0.0000774112,0.00007834658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086801074,0.00013278716,0.00055519,0.0011133571,0.000039490693,0.000043046228,0.00031737567,0.000052218453,0.000753893],"category_scores_gemma":[0.000038929156,0.00013934936,0.00035440078,0.00026892498,0.000095411946,0.0002891892,0.000031429732,0.00013769239,0.000115460665],"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":[0.000049319257,0.0002459859,0.35497645,0.000022046292,0.00033255183,0.0000060761345,0.000866884,0.006724316,0.000017941511,0.6313838,0.0024199605,0.0029546842],"study_design_scores_gemma":[0.0020532997,0.00041930395,0.4051878,0.000090906746,0.00004347445,0.000056886198,0.00049104495,0.004714422,0.00010414972,0.29057056,0.29565716,0.0006110231],"about_ca_topic_score_codex":0.0002916942,"about_ca_topic_score_gemma":0.000120031764,"teacher_disagreement_score":0.34081325,"about_ca_system_score_codex":0.000086933454,"about_ca_system_score_gemma":0.000015363285,"threshold_uncertainty_score":0.82545996},"labels":[],"label_agreement":null},{"id":"W1494952382","doi":"10.5167/uzh-136362","title":"A quantitative analysis of subsidy competition in the U.S.","year":2017,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Subsidy; Incentive; Competition (biology); Economics; Order (exchange); State (computer science); Public economics; Microeconomics; Market economy; Finance; Computer science","score_opus":0.07297867730171771,"score_gpt":0.2712320586197769,"score_spread":0.1982533813180592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494952382","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":[0.8977619,0.00013198925,0.0032625936,0.0035705527,0.00003585732,0.00006010237,0.000059979626,0.000002280066,0.09511478],"genre_scores_gemma":[0.99927086,0.0001457608,0.00026555432,0.00014651482,0.000008818815,0.0000067356273,0.000017381624,0.00000272184,0.00013566237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99932325,0.000010876077,0.00039496893,0.00016536188,0.000020288631,0.000085254964],"domain_scores_gemma":[0.99903274,0.00006563873,0.00044583285,0.00042164233,0.00001979879,0.000014370759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005646731,0.00005627691,0.00036368697,0.00036563902,0.00010294914,0.000077721685,0.00036964018,0.000028558228,0.00037420806],"category_scores_gemma":[0.000066764595,0.000045786324,0.00022548498,0.00023239967,0.0000823519,0.00013748897,0.000026576643,0.00004535587,0.00006026181],"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":[0.0000049699593,0.00003270443,0.24907278,0.0000013792535,0.00021485756,5.565366e-7,0.00018429635,0.0005058764,0.0000024420622,0.749914,0.000021139555,0.0000450461],"study_design_scores_gemma":[0.00013728581,0.000023070204,0.8556519,0.0000018049831,0.000050996543,1.1280333e-7,0.00020518232,0.09201555,0.0000046550053,0.05088303,0.0009548633,0.00007150731],"about_ca_topic_score_codex":0.010245601,"about_ca_topic_score_gemma":0.012822438,"teacher_disagreement_score":0.69903094,"about_ca_system_score_codex":0.00001758949,"about_ca_system_score_gemma":0.0000047048375,"threshold_uncertainty_score":0.9963453},"labels":[],"label_agreement":null},{"id":"W1497126911","doi":"10.1016/s0147-9121(00)19009-0","title":"Measuring relative quality of life from a cross-migration regression, with an application to Canadian provinces","year":2004,"lang":"en","type":"book-chapter","venue":"Research in labor economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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":"Standard of living; Regression; Regression analysis; Econometrics; Geography; Statistics; Demographic economics; Economics; Mathematics","score_opus":0.13676941716893182,"score_gpt":0.3241851995845956,"score_spread":0.18741578241566376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497126911","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":[0.84671587,0.0015380933,0.0006446538,0.0075683594,0.00014132926,0.00185589,0.0053329417,0.00002606084,0.13617678],"genre_scores_gemma":[0.9913037,0.0013345522,0.0011031679,0.00017929103,0.00024101832,0.00013356356,0.00049144885,0.000090655354,0.00512262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967886,0.00004486443,0.0015286157,0.0010790343,0.00010248381,0.00045638066],"domain_scores_gemma":[0.9971333,0.00018126618,0.00093255274,0.0008338857,0.000353993,0.0005650153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021587117,0.00031236088,0.0010345358,0.0014217838,0.00017036681,0.00018727621,0.00060040376,0.0004282959,0.00022288802],"category_scores_gemma":[0.00017866556,0.00034160772,0.00013729879,0.00019904836,0.00024028229,0.0005359256,0.00008905192,0.00057660474,0.00017138703],"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":[0.00019269876,0.000037509562,0.031104898,0.000041091153,0.00014128056,0.0000018337196,0.00038457182,0.010807573,0.0000024914889,0.95644873,0.000019021994,0.00081828906],"study_design_scores_gemma":[0.00083355594,0.0002823968,0.035272602,0.00024707662,0.0000093241815,3.3594375e-7,0.00008914882,0.007378556,0.000027041095,0.9258092,0.029274862,0.0007759117],"about_ca_topic_score_codex":0.6222554,"about_ca_topic_score_gemma":0.88025665,"teacher_disagreement_score":0.25800124,"about_ca_system_score_codex":0.0027606771,"about_ca_system_score_gemma":0.0017413754,"threshold_uncertainty_score":0.9999036},"labels":[],"label_agreement":null},{"id":"W1499266656","doi":"","title":"Economies d'agglomeration: estimations de panel de microdonnees du secteur canadien de la fabrication","year":2008,"lang":"fr","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Humanities; Political science; Philosophy","score_opus":0.027234733498562248,"score_gpt":0.2015453667901969,"score_spread":0.17431063329163465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499266656","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":[0.85824716,0.003799124,0.08141221,0.024103845,0.00042185534,0.00016521626,0.000258142,0.000041426832,0.031551003],"genre_scores_gemma":[0.94994265,0.011300342,0.015309279,0.0012630869,0.0006522008,0.00005587102,0.000107605716,0.00003909659,0.02132986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980407,0.00008995284,0.0007995118,0.0004729188,0.000024969464,0.0005719425],"domain_scores_gemma":[0.99858594,0.0003062122,0.00041720286,0.00033745088,0.00008696493,0.00026625412],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00080680614,0.0002486194,0.0004932335,0.00034657877,0.00054206135,0.00023171629,0.0002976856,0.0002798605,0.0015189699],"category_scores_gemma":[0.0002778587,0.00034839768,0.00027983685,0.0002629593,0.00029590778,0.0004435833,0.0000509919,0.00020606285,0.0004661414],"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":[0.000010897496,0.00019080967,0.45184666,0.00004069046,0.0003069272,0.000029590683,0.0032384496,0.058928967,0.000026645934,0.46361664,0.019080622,0.002683091],"study_design_scores_gemma":[0.00045448687,0.000048265145,0.3557364,0.000017382294,0.00005522129,0.000379497,0.00021818737,0.4526506,0.00013614702,0.028436266,0.16134702,0.0005205187],"about_ca_topic_score_codex":0.07077513,"about_ca_topic_score_gemma":0.016451254,"teacher_disagreement_score":0.43518037,"about_ca_system_score_codex":0.0015376741,"about_ca_system_score_gemma":0.00042790925,"threshold_uncertainty_score":0.9998968},"labels":[],"label_agreement":null},{"id":"W1500279089","doi":"","title":"Villes et croissance : le role des externalites de connaissances dans l'adoption de technologies de fabrication de pointe","year":2008,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.04276102259858711,"score_gpt":0.28894924873596456,"score_spread":0.24618822613737745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500279089","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":[0.9411931,0.0091911405,0.007780164,0.007837302,0.00018603842,0.0005155738,0.00026617775,0.00010330371,0.032927204],"genre_scores_gemma":[0.7383573,0.247107,0.01128645,0.00015758752,0.00017412919,0.00034452608,0.000066964516,0.00008580103,0.0024202345],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945206,0.00040531563,0.0016616693,0.0015377682,0.00010311292,0.0017715511],"domain_scores_gemma":[0.99655,0.00075981824,0.001058885,0.0011515269,0.0001958283,0.00028390717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004881328,0.0005821759,0.0012248959,0.001060948,0.0006486848,0.00048284794,0.0015570957,0.0009657322,0.00007479276],"category_scores_gemma":[0.001531228,0.0008076385,0.0006113719,0.0003779102,0.0020142135,0.0005090737,0.0007496136,0.0016931089,0.000039906023],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013946928,0.00042393044,0.587445,0.00021019281,0.00037770005,0.000045223645,0.0035944788,0.17339942,0.000864674,0.14439462,0.00010925441,0.08899599],"study_design_scores_gemma":[0.0008271506,0.00016944065,0.3254993,0.0005343157,0.00002671005,0.00012547085,0.0068247467,0.3703265,0.0019821979,0.2515696,0.04093253,0.001182056],"about_ca_topic_score_codex":0.017258648,"about_ca_topic_score_gemma":0.008285517,"teacher_disagreement_score":0.26194575,"about_ca_system_score_codex":0.0059196823,"about_ca_system_score_gemma":0.0012682173,"threshold_uncertainty_score":0.99943745},"labels":[],"label_agreement":null},{"id":"W1501706542","doi":"","title":"Foreign Direct Investment across China: what should we learn from spatial dependences?","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Global Affairs Canada","funders":"","keywords":"Foreign direct investment; Convergence (economics); Attractiveness; Economic geography; Spillover effect; China; Spatial analysis; Dispersion (optics); Spatial distribution; International economics; Economics; Spatial econometrics; Geography; International trade; Econometrics; Macroeconomics","score_opus":0.07214685870465777,"score_gpt":0.30272304685747325,"score_spread":0.2305761881528155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501706542","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":[0.7759952,0.0078865,0.00010281713,0.006089733,0.002138559,0.001865127,0.0014500029,0.00009733489,0.20437475],"genre_scores_gemma":[0.8596955,0.1327295,0.00056798564,0.00057913567,0.0008733889,0.0007188545,0.0005040647,0.00016779218,0.004163804],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99282295,0.00019924546,0.0023508093,0.0027692658,0.00021376571,0.0016439721],"domain_scores_gemma":[0.9955827,0.0005087719,0.0012142312,0.0020431434,0.00010988357,0.0005412454],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027238228,0.0008314349,0.002202305,0.0008833852,0.00041278705,0.0019512208,0.001959312,0.0011677322,0.0016522459],"category_scores_gemma":[0.00033067976,0.00096182694,0.000900058,0.00024225103,0.00054709957,0.0008626416,0.0024504866,0.0025427276,0.00067016506],"study_design_candidate":"theoretical_or_conceptual","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":[0.00045898478,0.0015477355,0.13644637,0.00051977043,0.0038409347,0.00019497525,0.0060488353,0.14469697,0.000030654348,0.12004945,0.0016911069,0.5844742],"study_design_scores_gemma":[0.0019575711,0.0002770111,0.039110243,0.000612765,0.00003975244,0.0000070280544,0.0029079937,0.24321498,0.00010979004,0.5466017,0.16235903,0.002802132],"about_ca_topic_score_codex":0.036652513,"about_ca_topic_score_gemma":0.013154609,"teacher_disagreement_score":0.5816721,"about_ca_system_score_codex":0.0019333516,"about_ca_system_score_gemma":0.0003241031,"threshold_uncertainty_score":0.9997584},"labels":[],"label_agreement":null},{"id":"W1503214393","doi":"10.1177/0160017614524226","title":"The Relationship between Population Dynamics and Urban Hierarchy","year":2014,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hierarchy; Urban hierarchy; Population; Service (business); Work (physics); Census; Dynamics (music); Regional science; Geography; Operations research; Economic geography; Computer science; Business; Sociology; Economics; Marketing; Engineering; Demography","score_opus":0.06345539760371109,"score_gpt":0.2874987107235114,"score_spread":0.2240433131198003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503214393","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30987993,0.06632534,0.027322002,0.51367,0.0017703776,0.0010894053,0.00016896006,0.00010708716,0.07966684],"genre_scores_gemma":[0.9876386,0.01013772,0.00023927035,0.0007864215,0.00020570864,0.000016600665,0.00005163006,0.0000070751225,0.0009170039],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987385,0.00002160189,0.0005500397,0.00035848448,0.00014784886,0.00018347755],"domain_scores_gemma":[0.99871325,0.00050662505,0.00037031755,0.00022028018,0.00008233825,0.000107202926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002067228,0.00009995022,0.00022879144,0.00015753807,0.00047404118,0.00017668115,0.00053816807,0.000032353113,0.000027806036],"category_scores_gemma":[0.001205412,0.000081207094,0.000108314285,0.00034854191,0.00032223726,0.0003599828,0.000090554255,0.00011155265,0.00011151758],"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":[6.7956205e-7,0.0000027809037,0.36220497,0.000009539296,0.000007155678,5.1144127e-8,0.0000042389215,0.000004269923,7.866092e-8,0.6331729,0.00026884602,0.0043244525],"study_design_scores_gemma":[0.000057743964,0.0000101425185,0.6423998,0.00009927189,0.0000056040512,0.0000038492767,0.00000244738,0.010394028,1.0884904e-7,0.24667908,0.10024624,0.000101667334],"about_ca_topic_score_codex":0.00027556188,"about_ca_topic_score_gemma":0.00008469975,"teacher_disagreement_score":0.67775863,"about_ca_system_score_codex":0.00022681743,"about_ca_system_score_gemma":0.00002544549,"threshold_uncertainty_score":0.36459896},"labels":[],"label_agreement":null},{"id":"W1506159353","doi":"10.2139/ssrn.1184012","title":"Consumers and the Brain Drain: Product Design and the Gains from Emigration","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Industry Canada","keywords":"Emigration; Externality; Lottery; Context (archaeology); Product (mathematics); Economics; Welfare; Labour economics; Business; Microeconomics; Market economy; Political science","score_opus":0.02369507853070035,"score_gpt":0.1985855092095661,"score_spread":0.17489043067886575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506159353","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":[0.7758202,0.05444325,0.07070387,0.09730711,0.00015252503,0.000460365,0.00001431332,0.000012110313,0.0010862773],"genre_scores_gemma":[0.9530761,0.04487538,0.0001151726,0.00076983095,0.00015660544,0.000011304322,0.000003709169,0.000011305719,0.0009805755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867165,0.00010935811,0.0004077223,0.00023731182,0.000035635014,0.0005382946],"domain_scores_gemma":[0.9990637,0.0003660715,0.00033996158,0.00016083565,0.000024322844,0.000045113422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031553232,0.000119539305,0.00033031325,0.0000765949,0.0005584638,0.000105241044,0.00016914582,0.000038192873,0.000021008866],"category_scores_gemma":[0.00019874371,0.00007485664,0.00012045109,0.000094882475,0.00048968114,0.00014225098,0.000027796044,0.00055692607,0.000017059803],"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":[0.00023862008,0.000011866592,0.0066619427,8.6384773e-7,0.00038467886,0.0000010192708,0.001001145,0.00021354137,0.0000043391237,0.9889978,0.00042997432,0.0020541996],"study_design_scores_gemma":[0.0035453488,0.000046721478,0.0038722767,0.000003225356,0.0000347037,0.00018707835,0.00041092443,0.020729948,0.000006350984,0.96629995,0.004703574,0.00015989806],"about_ca_topic_score_codex":0.0024565149,"about_ca_topic_score_gemma":0.0014558781,"teacher_disagreement_score":0.17725594,"about_ca_system_score_codex":0.00013327411,"about_ca_system_score_gemma":0.00019911205,"threshold_uncertainty_score":0.42953083},"labels":[],"label_agreement":null},{"id":"W1506409096","doi":"","title":"The Impact of Interprovincial Migration on Aggregate Output and Labour Productivity in Canada, 1987-2006","year":2007,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Net migration rate; Labour economics; Demographic economics; Population; Macroeconomics; Demography; Population growth","score_opus":0.014593567128030673,"score_gpt":0.22857609436950516,"score_spread":0.21398252724147449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506409096","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":[0.99262184,0.00021452464,0.00019381351,0.004951966,0.000772399,0.00018254422,0.0001987581,0.0000049531222,0.0008592143],"genre_scores_gemma":[0.9986726,0.00006994393,0.00003192798,0.00001920192,0.00052895496,0.000009750913,0.000010001375,0.000011520045,0.0006461228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872833,0.000020596895,0.00054374227,0.0004103726,0.00008958119,0.00020737367],"domain_scores_gemma":[0.9990298,0.00012731021,0.0004596563,0.00023394286,0.00009650836,0.000052738083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009801915,0.00014343619,0.00027393122,0.00022351202,0.00008007174,0.00005506691,0.00022198098,0.00004019341,0.00001130432],"category_scores_gemma":[0.0004007851,0.00012248052,0.00009985778,0.00015677989,0.000078580284,0.0002296429,0.000058548045,0.00016742645,0.0000076122606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003604761,0.00019943001,0.9511701,0.000008895008,0.00018164708,0.000005169719,0.00016585024,0.002444832,0.0002998354,0.02066109,0.00033684124,0.02416584],"study_design_scores_gemma":[0.0002311349,0.00007591562,0.9824845,0.000012600415,0.0000024278447,0.000003078867,0.000035064975,0.00439245,0.0013025446,0.008544014,0.0027632213,0.00015301915],"about_ca_topic_score_codex":0.9003337,"about_ca_topic_score_gemma":0.8827511,"teacher_disagreement_score":0.031314436,"about_ca_system_score_codex":0.00088652904,"about_ca_system_score_gemma":0.00018589664,"threshold_uncertainty_score":0.49946108},"labels":[],"label_agreement":null},{"id":"W1506604137","doi":"10.3386/w11642","title":"Technology Adoption In and Out of Major Urban Areas: When Do Internal Firm Resources Matter Most?","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization","score_opus":0.14916417242319807,"score_gpt":0.38529058005204647,"score_spread":0.2361264076288484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506604137","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24315234,0.015522817,0.000042124404,0.009082011,0.0005686916,0.00077034795,0.0010504237,0.00001604121,0.7297952],"genre_scores_gemma":[0.9846695,0.0048114224,0.00032991864,0.00003891543,0.0005786132,0.000084376225,0.00019743759,0.000051824387,0.009238006],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964314,0.00004642618,0.0020117757,0.0008391831,0.00027011943,0.0004010589],"domain_scores_gemma":[0.9973763,0.00029175173,0.0012640507,0.00041392198,0.0005581634,0.00009579478],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036207445,0.00027695176,0.0011991742,0.0040792283,0.00006442914,0.000085019776,0.00066117325,0.0006347032,0.0019156865],"category_scores_gemma":[0.0004003874,0.0003255833,0.0002387647,0.00025089184,0.00045243182,0.0002210177,0.0003270598,0.0007223439,0.0002931307],"study_design_candidate":"theoretical_or_conceptual","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":[0.00017178872,0.00026908645,0.5065404,0.0003503878,0.0007722802,0.000006252582,0.0005425374,0.00063119316,0.000022805467,0.44681057,0.039988387,0.0038942702],"study_design_scores_gemma":[0.0012224024,0.00018954708,0.047236938,0.00037232062,0.000020288218,0.000022291815,0.00020430826,0.0031821525,0.00003998893,0.79105407,0.15583748,0.00061821484],"about_ca_topic_score_codex":0.008565989,"about_ca_topic_score_gemma":0.0024220122,"teacher_disagreement_score":0.7415172,"about_ca_system_score_codex":0.001363665,"about_ca_system_score_gemma":0.0004553324,"threshold_uncertainty_score":0.9999196},"labels":[],"label_agreement":null},{"id":"W1510585712","doi":"","title":"Essays in applied spatial economics.","year":2010,"lang":"en","type":"dissertation","venue":"London School of Economics and Political Science Theses Online (London School of Economics and Political Science)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Economic geography; Urbanization; Quarter (Canadian coin); Ranking (information retrieval); Economics; Poverty; Geography; Economy; Economic growth","score_opus":0.022107959123741486,"score_gpt":0.2656853597477471,"score_spread":0.24357740062400562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510585712","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":[0.9383521,0.0005465988,0.0000132175255,0.002478584,0.00094981823,0.00061580545,0.0015468,0.000016861315,0.055480216],"genre_scores_gemma":[0.99033326,0.006379566,0.001139679,0.00077989034,0.00058111054,0.000052558284,0.00018463666,0.00008879519,0.0004604836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9902142,0.00003815665,0.004032054,0.0025440347,0.00014010645,0.0030314326],"domain_scores_gemma":[0.9923598,0.0005597108,0.0019776146,0.001239457,0.00028369945,0.0035797213],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004156964,0.0009830022,0.003048861,0.0025634314,0.00044307363,0.0007796252,0.0021603,0.00085573655,0.0006688729],"category_scores_gemma":[0.0013828906,0.0010703219,0.00053162465,0.000688705,0.00456561,0.0012117397,0.0006451668,0.0012791372,0.00011745107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017920144,0.00028061835,0.013344052,0.00009841336,0.00007309144,0.0000015385501,0.0000702969,0.00025654875,0.00016740232,0.984011,0.000010455611,0.0015073614],"study_design_scores_gemma":[0.0023254356,0.00044697133,0.115409456,0.0001285535,0.000114091716,0.000023709166,0.00096385006,0.030309282,0.0023691598,0.84054476,0.0053984667,0.0019662753],"about_ca_topic_score_codex":0.024194362,"about_ca_topic_score_gemma":0.016663108,"teacher_disagreement_score":0.14346628,"about_ca_system_score_codex":0.0010629805,"about_ca_system_score_gemma":0.0027114307,"threshold_uncertainty_score":0.9991747},"labels":[],"label_agreement":null},{"id":"W1514674642","doi":"","title":"Capacites d'innovation : comparaison de l'emploi en sciences et en genie dans les villes canadiennes et americaines","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in 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":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.05587782720293829,"score_gpt":0.3170532451071278,"score_spread":0.2611754179041895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514674642","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":[0.88235986,0.00089766446,0.0005245176,0.0128370905,0.00047227216,0.0005633804,0.00084480556,0.00003321423,0.10146722],"genre_scores_gemma":[0.9610892,0.024633555,0.0074847434,0.0004647998,0.0004613736,0.00027274707,0.00047622845,0.00011588659,0.0050014835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9930407,0.0007543581,0.0024450528,0.0019894252,0.00016050115,0.0016099992],"domain_scores_gemma":[0.99528575,0.002089199,0.0012775157,0.0008907989,0.00021297984,0.00024376284],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00891943,0.00071823393,0.0016779923,0.002554644,0.0006583144,0.0006880018,0.001575153,0.0007350206,0.00020495539],"category_scores_gemma":[0.0011578532,0.00091504777,0.00051219715,0.0010318854,0.0015478809,0.00046375202,0.0007843262,0.0017496938,0.000050341456],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035961137,0.00025259994,0.342418,0.00010785881,0.00027052162,0.000017550623,0.002676908,0.24628761,0.000105237166,0.38271546,0.00018210779,0.02493018],"study_design_scores_gemma":[0.000814909,0.00031031662,0.41372392,0.0003046102,0.00003581472,0.00003688241,0.0043931073,0.32578176,0.00010047729,0.04494551,0.20778386,0.0017688491],"about_ca_topic_score_codex":0.18614522,"about_ca_topic_score_gemma":0.2894138,"teacher_disagreement_score":0.33776996,"about_ca_system_score_codex":0.003789525,"about_ca_system_score_gemma":0.0011399838,"threshold_uncertainty_score":0.99933},"labels":[],"label_agreement":null},{"id":"W1519119867","doi":"","title":"Unternehmenskooperationen im Innovationsprozess: Erste deskriptive Befunde neuer Fragen im ifo Innovationstest","year":2010,"lang":"de","type":"article","venue":"Econstor (Econstor)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Sloan School of Management, Massachusetts Institute of Technology; University of Toronto; Friedrich-Schiller-Universität Jena","keywords":"Political science; Gynecology; Humanities; Art; Medicine","score_opus":0.01957015851869925,"score_gpt":0.2184554288486872,"score_spread":0.19888527032998796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519119867","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":[0.94375086,0.0028550636,0.003544259,0.0065471386,0.010728989,0.0010911206,0.0020095515,0.00014867679,0.029324345],"genre_scores_gemma":[0.98061967,0.00076749834,0.00354356,0.0028714184,0.0027782288,0.00023000722,0.001127979,0.00019489446,0.007866741],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9924368,0.00009410582,0.0038696653,0.00215004,0.00020349183,0.0012458544],"domain_scores_gemma":[0.99392575,0.00038106783,0.0025863382,0.0017631453,0.0008353667,0.0005083061],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016836135,0.001116311,0.0019324792,0.002274371,0.0014526708,0.0010688801,0.001236171,0.0010071032,0.010532457],"category_scores_gemma":[0.0005133927,0.0014268965,0.0007770725,0.002072913,0.0013261354,0.0016816228,0.0003811512,0.0017635783,0.010645765],"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":[0.000041442945,0.00040653883,0.65652704,0.000041068415,0.0013163107,0.00002068218,0.00069786684,0.0003894823,0.0003265947,0.330531,0.008876268,0.000825699],"study_design_scores_gemma":[0.0043402617,0.0004647845,0.29133406,0.00015985363,0.00054523896,0.00009510537,0.0009864215,0.041030873,0.0004949697,0.021407735,0.63453376,0.0046069287],"about_ca_topic_score_codex":0.0017023284,"about_ca_topic_score_gemma":0.0026547406,"teacher_disagreement_score":0.6256575,"about_ca_system_score_codex":0.00083619874,"about_ca_system_score_gemma":0.00091461715,"threshold_uncertainty_score":0.9999681},"labels":[],"label_agreement":null},{"id":"W1519753901","doi":"10.2139/ssrn.1427841","title":"Four Decades of Creative Destruction: Renewing Canada's Manufacturing Base from 1961 - 1999","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Base (topology); Engineering; Political science; History; Mathematics","score_opus":0.014793926295783872,"score_gpt":0.1875860518038554,"score_spread":0.17279212550807152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519753901","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":[0.9744634,0.00331633,0.018897776,0.0016136608,0.0001974357,0.000054088792,0.000060508977,0.0000063891152,0.0013904007],"genre_scores_gemma":[0.99550706,0.0030248298,0.0007966812,0.000085066386,0.00028329855,0.0000027925328,0.000011924117,0.00001939024,0.00026897737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814314,0.0000134476395,0.00066115946,0.00027382112,0.00006228971,0.0008461722],"domain_scores_gemma":[0.9990576,0.00003388474,0.0006030809,0.00017072576,0.00003290957,0.000101794234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004917401,0.000157431,0.00041622005,0.00018650056,0.00019216855,0.000049454437,0.0002503396,0.000066921886,0.00013025838],"category_scores_gemma":[0.00003009965,0.00017086722,0.0001978772,0.00011027855,0.000036889665,0.00019721445,0.000029094097,0.0005845781,0.000012803347],"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":[0.00009201093,0.00007142505,0.032501567,0.000010121522,0.0015354328,0.000023656588,0.00026304135,0.029272746,0.000103330116,0.927675,0.000076308825,0.008375323],"study_design_scores_gemma":[0.0008872574,0.00008685233,0.0116037205,0.00002564104,0.00003582774,0.00008449662,0.0006060637,0.00034595444,0.0017756342,0.9805959,0.00367814,0.00027454208],"about_ca_topic_score_codex":0.741659,"about_ca_topic_score_gemma":0.7263617,"teacher_disagreement_score":0.052920837,"about_ca_system_score_codex":0.0020423906,"about_ca_system_score_gemma":0.0013853182,"threshold_uncertainty_score":0.6967763},"labels":[],"label_agreement":null},{"id":"W1519868581","doi":"10.1016/s1574-0080(04)80016-6","title":"Chapter 59 The empirics of agglomeration and trade","year":2004,"lang":"en","type":"book-chapter","venue":"Handbook of regional and urban economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":223,"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":"Economies of agglomeration; Rubric; Economics; Economic geography; New trade theory; Economies of scale; Scale (ratio); International trade; Microeconomics; Trade barrier; Geography; Sociology","score_opus":0.037860271174530294,"score_gpt":0.18464768224856298,"score_spread":0.1467874110740327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519868581","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08650453,0.24887246,0.0021518152,0.03511687,0.0010758062,0.0020781006,0.0031018523,0.00006275647,0.6210358],"genre_scores_gemma":[0.5716845,0.31866542,0.001365405,0.0029420878,0.0010363722,0.000035940408,0.00034490612,0.00024863775,0.103676796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982132,0.000004081225,0.0010797246,0.0004974893,0.000036785463,0.00016875038],"domain_scores_gemma":[0.99815416,0.00008808356,0.0012961266,0.00032774854,0.000033645487,0.00010022285],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002421485,0.00033106786,0.00095031323,0.00026258035,0.00011208587,0.00004519513,0.0002017527,0.00027392418,0.00018743028],"category_scores_gemma":[0.000007756475,0.00031129314,0.0003328915,0.000019409377,0.00056505034,0.00013525863,0.00008313073,0.0001949985,0.000017111695],"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":[0.000033688044,0.000015565534,0.001043775,0.000059503058,0.00028133535,7.9561516e-7,0.00019950529,0.000121237616,0.000003069997,0.99609256,0.00056335045,0.001585591],"study_design_scores_gemma":[0.00070385594,0.00016406632,0.0012127522,0.000193546,0.00009323417,0.000021659043,0.0000192507,0.0012366696,0.000038756178,0.6377082,0.35811505,0.0004929874],"about_ca_topic_score_codex":0.00016577689,"about_ca_topic_score_gemma":0.00009562436,"teacher_disagreement_score":0.517359,"about_ca_system_score_codex":0.000067116875,"about_ca_system_score_gemma":0.00005494353,"threshold_uncertainty_score":0.9999339},"labels":[],"label_agreement":null},{"id":"W1520792148","doi":"10.1111/j.1468-2257.2006.00328.x","title":"Growth and Location of Economic Activity: The Spatial Dynamics of Industries in Canada 1971–2001","year":2006,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Economic geography; Premise; Crowding; Differential (mechanical device); Tertiary sector of the economy; Manufacturing; Spatial distribution; Distribution (mathematics); Offset (computer science); Econometrics; Business; Geography; Industrial organization; Economics; Economy; Computer science; Marketing; Mathematics; Engineering","score_opus":0.027871088275201895,"score_gpt":0.18480149439523988,"score_spread":0.15693040612003797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520792148","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":[0.99491084,0.0007144577,0.00015281438,0.0028668353,0.00006583515,0.00010312492,0.00016326182,0.0000015202602,0.0010212916],"genre_scores_gemma":[0.9991009,0.0006995628,0.00000927839,0.000057021807,0.000071165276,0.000012816971,0.00002362701,0.0000066795915,0.000018917446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932486,0.000008978908,0.00033538602,0.00017367145,0.000020018593,0.00013706481],"domain_scores_gemma":[0.9995092,0.00004651677,0.00029611978,0.00009539702,0.000020722524,0.0000320302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012102896,0.00009037778,0.00030353383,0.00012628321,0.00003628246,0.000014364835,0.00008207561,0.000053449006,0.000013217416],"category_scores_gemma":[0.000019618765,0.000087197026,0.000021630494,0.0001645878,0.00007766139,0.000111326335,0.00003712217,0.00006641682,6.6858405e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020716021,0.000023088098,0.8575131,0.00006537207,0.000027323671,6.9145545e-7,0.00011924665,0.000046054745,0.0000069885727,0.13990816,0.0000674648,0.0022017658],"study_design_scores_gemma":[0.00046508506,0.000053293723,0.942111,0.00001740986,0.000012960786,0.0000018925942,0.00018187164,0.035482213,0.00032337985,0.021053521,0.00011331038,0.00018406048],"about_ca_topic_score_codex":0.9818493,"about_ca_topic_score_gemma":0.96641886,"teacher_disagreement_score":0.11885464,"about_ca_system_score_codex":0.000108886736,"about_ca_system_score_gemma":0.00011142842,"threshold_uncertainty_score":0.35557917},"labels":[],"label_agreement":null},{"id":"W1521426197","doi":"","title":"On the Difficulty of Comparing the Spatial Distribution of Service Industries Across Nations: Contrasting Spain and Canada. Preliminary results","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Economies of agglomeration; Tertiary sector of the economy; Distribution (mathematics); Order (exchange); Context (archaeology); Service (business); Geography; Regional science; Manufacturing; Business; Economy; Economic growth; Economics; Marketing; Finance","score_opus":0.06510342229801243,"score_gpt":0.2671566016240396,"score_spread":0.20205317932602718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521426197","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":[0.9856038,0.00019697989,0.000027984483,0.0033372808,0.00015966616,0.00055747345,0.00227054,0.0000048865836,0.007841367],"genre_scores_gemma":[0.99773103,0.0016142984,0.000012871349,0.000072986484,0.00007249045,0.00008378987,0.00027039388,0.000021167363,0.00012096663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9972379,0.00014459774,0.0014717358,0.0006224272,0.00009813253,0.0004252096],"domain_scores_gemma":[0.9956378,0.002107921,0.0012180196,0.00073083356,0.00022714009,0.000078283454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030635674,0.00024577414,0.0007788766,0.00016930346,0.00033574458,0.00008668819,0.00073117117,0.00025832863,0.000014701276],"category_scores_gemma":[0.0022770928,0.00020272023,0.00011067486,0.00023662664,0.0004187821,0.00006188891,0.0007766182,0.0010004402,0.0000012839166],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033791515,0.00088001374,0.18577866,0.0009605945,0.0020079652,0.00001564848,0.0070274845,0.19974118,0.000023434084,0.5591731,0.00067374547,0.040338982],"study_design_scores_gemma":[0.0019120643,0.00032520914,0.65353703,0.0007424863,0.000038724407,0.00000557965,0.004339495,0.30969125,0.00027432415,0.023643536,0.004627051,0.00086321327],"about_ca_topic_score_codex":0.51906973,"about_ca_topic_score_gemma":0.66805494,"teacher_disagreement_score":0.5355296,"about_ca_system_score_codex":0.0005234851,"about_ca_system_score_gemma":0.00045403076,"threshold_uncertainty_score":0.8266691},"labels":[],"label_agreement":null},{"id":"W1522458695","doi":"","title":"L'incidence de la mobilite interprovinciale sur les gains des particuliers : estimations de modeles par panel pour le Canada","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.06326467758372226,"score_gpt":0.2857963914279978,"score_spread":0.22253171384427553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522458695","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":[0.9566628,0.0016773383,0.003120805,0.004095329,0.00023865458,0.0005603068,0.00061600213,0.000026267337,0.033002526],"genre_scores_gemma":[0.94880325,0.037901882,0.0058485535,0.0001884205,0.00023048217,0.00039597237,0.000106552114,0.00010865456,0.006416219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941368,0.00049104897,0.0019498796,0.0015458327,0.00012399234,0.0017524357],"domain_scores_gemma":[0.9954146,0.0018679099,0.00075764256,0.0011338375,0.00022998176,0.0005960098],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043801544,0.0005996962,0.001342458,0.00067365926,0.00073535065,0.0004937327,0.0013198714,0.0007166747,0.00023822516],"category_scores_gemma":[0.0021235794,0.0008327884,0.0005359254,0.0003384168,0.0014193101,0.00035401087,0.0007641095,0.0017142304,0.000025923518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00005973614,0.00035644707,0.2617502,0.00017758642,0.00030837837,0.00008617989,0.00078362395,0.64842516,0.000032687854,0.034609165,0.00028129862,0.053129543],"study_design_scores_gemma":[0.00055809866,0.000049579907,0.10090834,0.00026821782,0.000025827881,0.00003992896,0.0012816616,0.81246763,0.000045494293,0.06072325,0.022839379,0.0007926038],"about_ca_topic_score_codex":0.8188852,"about_ca_topic_score_gemma":0.8847656,"teacher_disagreement_score":0.16404247,"about_ca_system_score_codex":0.009085094,"about_ca_system_score_gemma":0.007933956,"threshold_uncertainty_score":0.9994123},"labels":[],"label_agreement":null},{"id":"W1525257287","doi":"10.2139/ssrn.2056449","title":"Cities and Growth: Moving to Toronto - Income Gains Associated with Large Metropolitan Labour Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Statistics Canada","funders":"","keywords":"Metropolitan area; Labour economics; Economics; Demographic economics; Geography","score_opus":0.011483298205691543,"score_gpt":0.21151630840394947,"score_spread":0.20003301019825792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525257287","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":[0.9780266,0.009234747,0.004841273,0.0011986654,0.00012791676,0.00008419351,0.00006290836,0.000017100989,0.006406558],"genre_scores_gemma":[0.99280053,0.0038426097,0.00010979305,0.00036196844,0.00027604643,0.0000073170168,0.0000069935936,0.00003370067,0.0025610463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997227,0.000035907036,0.00046168582,0.00023522801,0.00006166311,0.0019784889],"domain_scores_gemma":[0.99914306,0.00006086163,0.00033614747,0.00013973823,0.000060792732,0.0002593812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023942748,0.00019282615,0.0004475776,0.00020819687,0.00029142736,0.00012517291,0.00020137089,0.0000819622,0.0001874678],"category_scores_gemma":[0.00015960721,0.0001857131,0.00012016885,0.00017606068,0.00003177268,0.0006148832,0.00006787415,0.00046705938,0.000035663877],"study_design_candidate":"theoretical_or_conceptual","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":[0.000020781037,0.000041519586,0.28724265,0.0000027375272,0.00032942905,6.453518e-7,0.00016030799,0.0000026060827,0.0000018979589,0.7120283,0.000030567517,0.00013854372],"study_design_scores_gemma":[0.0013474656,0.00043699573,0.5641883,0.000034168865,0.000060017494,0.00008998156,0.004280325,0.0005109439,0.000009461445,0.4233398,0.0049660797,0.00073641463],"about_ca_topic_score_codex":0.0041034487,"about_ca_topic_score_gemma":0.019680493,"teacher_disagreement_score":0.2886885,"about_ca_system_score_codex":0.00318829,"about_ca_system_score_gemma":0.00014345249,"threshold_uncertainty_score":0.9982078},"labels":[],"label_agreement":null},{"id":"W1528106345","doi":"10.15353/rea.v2i1.1494","title":"To Migrate or to Commute?","year":2010,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Urban agglomeration; Variety (cybernetics); Economies of agglomeration; Product (mathematics); Economic geography; Cost of living; Cover (algebra); Economics; Labour economics; Business; Economic growth; Engineering","score_opus":0.03417617345147709,"score_gpt":0.27114584478583637,"score_spread":0.23696967133435928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528106345","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":[0.83434355,0.023988565,0.01653112,0.05881436,0.0011432425,0.0017702155,0.0017738075,0.00008598666,0.061549164],"genre_scores_gemma":[0.9559561,0.02462859,0.0065148063,0.008796489,0.00021460533,0.000108555396,0.000098693636,0.000043928667,0.0036382119],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99747723,0.000017418552,0.0015959557,0.00059186504,0.00003057273,0.000286935],"domain_scores_gemma":[0.99786,0.000086440865,0.00066714844,0.0010066702,0.000054615746,0.0003251024],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010922205,0.00022840164,0.0017695174,0.00089053815,0.000069498354,0.000049794737,0.00067493663,0.000076713186,0.007999801],"category_scores_gemma":[0.00017362965,0.00022102597,0.0010119892,0.0010420808,0.000040974784,0.00012523645,0.00013714003,0.00013855044,0.004019943],"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":[0.00010930618,0.00033816637,0.17132571,0.0017209172,0.010888581,0.000008462179,0.0003543172,0.0105075035,0.00016543079,0.7436488,0.04567369,0.015259074],"study_design_scores_gemma":[0.00031930197,0.00015725468,0.018000519,0.00032190685,0.0010913458,0.0000039929305,0.000030886193,0.013061529,0.00010831691,0.005663433,0.9602504,0.0009911364],"about_ca_topic_score_codex":0.0031164684,"about_ca_topic_score_gemma":0.008548236,"teacher_disagreement_score":0.9145767,"about_ca_system_score_codex":0.000093931834,"about_ca_system_score_gemma":0.000047664686,"threshold_uncertainty_score":0.99675554},"labels":[],"label_agreement":null},{"id":"W1529734789","doi":"10.3386/w9979","title":"How did Location Affect Adoption of the Commercial Internet? Global Village, Urban Density, and Industry Composition","year":2003,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Frontier; The Internet; Affect (linguistics); Business; Rural area; Information technology; Economic geography; Marketing; Geography; Political science; Sociology","score_opus":0.15100162016005061,"score_gpt":0.3717346344687682,"score_spread":0.22073301430871758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529734789","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":[0.9610967,0.00041463575,0.00054682244,0.0031511341,0.00019294459,0.0002797778,0.0000657793,0.0000045648644,0.034247644],"genre_scores_gemma":[0.99930215,0.00006838557,0.000103953345,0.000049656694,0.000091804366,0.0000127438525,0.000042379048,0.0000084983,0.00032042767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988131,0.00010433082,0.00048248522,0.000308396,0.00011490632,0.0001768042],"domain_scores_gemma":[0.99889785,0.00019387605,0.0003918301,0.00019553985,0.0002587281,0.0000622008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014978271,0.00010812025,0.00032103836,0.00024112136,0.000112234775,0.00008668371,0.00024485347,0.00020260089,0.000051783358],"category_scores_gemma":[0.00027012298,0.00010859069,0.00012683729,0.00026518418,0.0002804181,0.00022187452,0.00009792738,0.00025307192,0.000023906707],"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":[0.00002185732,0.000049677878,0.15204683,0.00001940359,0.00006449814,1.0649331e-7,0.000028775657,0.0006374989,0.00005925547,0.84616244,0.0007946442,0.00011499597],"study_design_scores_gemma":[0.00094568357,0.00013493415,0.25220034,0.000049341787,0.0000149454145,0.0000095451005,0.000088082095,0.011412631,0.0019046066,0.7310221,0.0019692946,0.00024850442],"about_ca_topic_score_codex":0.0011272441,"about_ca_topic_score_gemma":0.0004459751,"teacher_disagreement_score":0.11514035,"about_ca_system_score_codex":0.00047784773,"about_ca_system_score_gemma":0.000106964966,"threshold_uncertainty_score":0.44281998},"labels":[],"label_agreement":null},{"id":"W1531831367","doi":"","title":"What You Do, Not Who You Work For : A Comparison of the Occupational and Industry Structures of the United States, Canada and Sweden","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Work (physics); Business; Political science; Engineering; Mechanical engineering","score_opus":0.0611668444558843,"score_gpt":0.3039771176450834,"score_spread":0.2428102731891991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531831367","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":[0.9941871,0.00092820916,0.0000047704084,0.0025207135,0.00032622705,0.00060088444,0.0008636378,0.0000021868045,0.00056623487],"genre_scores_gemma":[0.99279094,0.0062179775,0.00012358512,0.00021172182,0.0000756823,0.00004501319,0.00009313976,0.000024228832,0.00041769442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765366,0.00008194875,0.0011795103,0.0006279348,0.000102035665,0.00035488154],"domain_scores_gemma":[0.9976281,0.00042108865,0.0009957661,0.0007256733,0.00012540928,0.0001039863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010171524,0.00024834755,0.0008770714,0.00034518325,0.00018249152,0.00019301115,0.00071621453,0.0004283844,0.000025789674],"category_scores_gemma":[0.0002727261,0.00020907736,0.00018962397,0.00024128139,0.000407473,0.00009511868,0.0006896054,0.0010280338,1.0960895e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002627098,0.00008331672,0.81082255,0.00022861146,0.0004313108,5.5627186e-7,0.00092118746,0.13421792,0.0000026262612,0.029764086,0.0004738563,0.022791287],"study_design_scores_gemma":[0.0008941041,0.000072672505,0.8531206,0.0003439748,0.00003161214,0.0000019046536,0.0014765979,0.059905626,0.00009613285,0.061249543,0.022302624,0.000504559],"about_ca_topic_score_codex":0.11393034,"about_ca_topic_score_gemma":0.1747662,"teacher_disagreement_score":0.07431229,"about_ca_system_score_codex":0.00044927953,"about_ca_system_score_gemma":0.0005694581,"threshold_uncertainty_score":0.8919701},"labels":[],"label_agreement":null},{"id":"W1532749840","doi":"10.3386/w12823","title":"Birds of a Feather - Better Together? Exploring the Optimal Spatial Distribution of Ethnic Inventors","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Harvard University","keywords":"Feather; Ethnic group; Geography; Distribution (mathematics); Spatial distribution; Economic geography; Ecology; Biology; Mathematics; Sociology; Remote sensing; Anthropology","score_opus":0.48015908293885873,"score_gpt":0.45057091094595964,"score_spread":0.029588171992899093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532749840","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":[0.7661964,0.005620836,0.0012980473,0.0031692516,0.0016796448,0.0011841368,0.0032430382,0.000018735358,0.21758987],"genre_scores_gemma":[0.9931724,0.003516891,0.0001176818,0.000019845636,0.0008324038,0.00009361737,0.00062920805,0.000059129405,0.001558806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959187,0.00009010703,0.0023564685,0.00063055573,0.00054920383,0.00045500253],"domain_scores_gemma":[0.9955936,0.0007535232,0.0018865161,0.00056534464,0.0010998166,0.00010118476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009774623,0.00028510467,0.0011943353,0.001177019,0.000109564135,0.000036008572,0.0008696298,0.00039404488,0.00070657296],"category_scores_gemma":[0.0007382207,0.00027141068,0.00076975656,0.00047192624,0.00059088465,0.00020315709,0.00026002974,0.0006983719,0.00009382007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027567058,0.00041484117,0.0330649,0.0004925705,0.002360966,0.000003290879,0.00055125676,0.007989692,0.00008633495,0.9292609,0.014234355,0.01126519],"study_design_scores_gemma":[0.0023682988,0.000919387,0.097429335,0.00056492875,0.00017632903,0.000023717455,0.00049591775,0.020595983,0.0033045236,0.71395093,0.15849826,0.0016723765],"about_ca_topic_score_codex":0.030235598,"about_ca_topic_score_gemma":0.0012784895,"teacher_disagreement_score":0.22697598,"about_ca_system_score_codex":0.0014385226,"about_ca_system_score_gemma":0.0008919088,"threshold_uncertainty_score":0.99997383},"labels":[],"label_agreement":null},{"id":"W1533392571","doi":"","title":"Villes et croissance : Migration a Toronto - croissance du revenu associee au marche du travail des grandes regions metropolitaines","year":2012,"lang":"fr","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03944902996888971,"score_gpt":0.24621248422578074,"score_spread":0.20676345425689102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533392571","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":[0.5753252,0.19684969,0.03980279,0.14795074,0.0022526984,0.0005140649,0.0006442704,0.000083942454,0.03657661],"genre_scores_gemma":[0.87964606,0.06468663,0.003734164,0.0010573285,0.0014947546,0.000079127654,0.000086824635,0.0000689216,0.049146157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99650306,0.00018704243,0.0013301274,0.0007467683,0.00010608889,0.0011269059],"domain_scores_gemma":[0.99758065,0.00036331374,0.00085185585,0.00061084126,0.00018068006,0.00041264665],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021850434,0.00051893713,0.0010796997,0.00019580343,0.00073263544,0.00029579183,0.0004821751,0.00036126043,0.0016900428],"category_scores_gemma":[0.00048255952,0.00059313787,0.0008271344,0.00039594024,0.0007246675,0.0021277054,0.00013324637,0.00025048573,0.0002752525],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003516585,0.00041794174,0.38448524,0.00008468963,0.00038599595,0.0000024881842,0.002608821,0.00016825707,0.000021050855,0.55948275,0.04958508,0.0027225076],"study_design_scores_gemma":[0.00093132467,0.00018022217,0.4165109,0.00012148743,0.00016374346,0.000036633865,0.0026203636,0.009908137,0.00006850638,0.035350375,0.5329708,0.0011374841],"about_ca_topic_score_codex":0.24642506,"about_ca_topic_score_gemma":0.32011226,"teacher_disagreement_score":0.5241324,"about_ca_system_score_codex":0.0020130079,"about_ca_system_score_gemma":0.000104200466,"threshold_uncertainty_score":0.999652},"labels":[],"label_agreement":null},{"id":"W1533585524","doi":"10.1007/s00168-016-0763-8","title":"Human capital in cities and suburbs","year":2016,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","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":"Ontario College of Art and Design; University of Toronto","funders":"","keywords":"Metropolitan area; Human capital; Distribution (mathematics); Principal (computer security); Economic geography; Capital (architecture); Geography; Capital city; Business; Economic growth; Regional science; Economics","score_opus":0.11632434106227037,"score_gpt":0.2812474400967036,"score_spread":0.16492309903443325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533585524","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":[0.9707842,0.000754839,0.000043096068,0.0248649,0.000026061303,0.00003893012,0.000013203218,0.0000029161963,0.0034718895],"genre_scores_gemma":[0.9983854,0.0006419344,0.000021997083,0.000392812,0.000030027628,0.0000036380468,3.2190243e-7,0.0000031495085,0.0005206963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923396,0.0000068258264,0.0002899217,0.00022813842,0.00005356937,0.0001875614],"domain_scores_gemma":[0.99949235,0.000053674736,0.00017975556,0.00018176029,0.00004105809,0.00005140595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009979819,0.00006414221,0.00018318191,0.00020953175,0.00011930575,0.000029456427,0.00035673493,0.000020795069,0.000054180553],"category_scores_gemma":[0.00004746522,0.000040634302,0.000059005357,0.00024074085,0.0010828302,0.00025872292,0.00008022487,0.000032950553,0.000023965555],"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":[0.000004082919,0.0000125862125,0.03636285,0.0000019077647,0.0000082124925,4.528941e-7,0.00019835176,0.000012342223,0.00033438663,0.96233994,0.00020546085,0.0005194533],"study_design_scores_gemma":[0.00015012012,0.000045031047,0.36736965,0.000018340479,9.475612e-7,0.000002959311,0.0000889974,0.00016362085,0.0003034003,0.62869537,0.0030502472,0.00011129935],"about_ca_topic_score_codex":0.0013294651,"about_ca_topic_score_gemma":0.000253423,"teacher_disagreement_score":0.33364454,"about_ca_system_score_codex":0.000016335875,"about_ca_system_score_gemma":0.00002253129,"threshold_uncertainty_score":0.39897332},"labels":[],"label_agreement":null},{"id":"W1534927598","doi":"10.7202/602325ar","title":"L’estimation de l’emploi à partir de la distribution des établissements par taille","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography; Mathematics","score_opus":0.029006980520719174,"score_gpt":0.24615055314989134,"score_spread":0.21714357262917217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534927598","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":[0.9132377,0.0034030376,0.06536869,0.010672355,0.0002852459,0.00022823531,0.0006239481,0.000043564945,0.006137214],"genre_scores_gemma":[0.9867398,0.004668656,0.0033494597,0.0014526627,0.00033575395,0.00004922807,0.00038687163,0.00003659768,0.0029809792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99720913,0.00017266138,0.0011399417,0.0006326952,0.000026775964,0.00081878103],"domain_scores_gemma":[0.9982274,0.00027680112,0.00067529274,0.00044148182,0.000056229357,0.0003227726],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016865726,0.00036943625,0.0007210704,0.00017813798,0.00042540437,0.00063997786,0.000356517,0.0004883352,0.00065740966],"category_scores_gemma":[0.0004321913,0.0005040099,0.0004064072,0.00026787218,0.00042874107,0.000777649,0.000058827474,0.0003134436,0.00040431894],"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":[0.000066875735,0.0005532853,0.06427884,0.000077822726,0.0002912468,0.000014982701,0.00152703,0.018180346,0.00009751322,0.83968705,0.004824774,0.07040024],"study_design_scores_gemma":[0.00071629725,0.00018746438,0.15970692,0.00008908651,0.00008028016,0.000029135737,0.00009557209,0.14994767,0.0011436726,0.48579425,0.2015693,0.00064033485],"about_ca_topic_score_codex":0.0045808335,"about_ca_topic_score_gemma":0.00035795307,"teacher_disagreement_score":0.35389277,"about_ca_system_score_codex":0.0014235722,"about_ca_system_score_gemma":0.00014899996,"threshold_uncertainty_score":0.99974114},"labels":[],"label_agreement":null},{"id":"W153667241","doi":"","title":"Anchors and Externalities","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Externality; Shopping mall; Business; Service (business); Marketing; Industrial organization; Economics; Microeconomics; Advertising","score_opus":0.041115537694397256,"score_gpt":0.20799902799000658,"score_spread":0.16688349029560934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W153667241","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":[0.9751739,0.004432089,0.00080858805,0.009074254,0.0002729514,0.000025104568,0.000012679499,0.0000015917077,0.010198854],"genre_scores_gemma":[0.99751395,0.00073309056,0.00034668559,0.0006185794,0.00015244409,4.663014e-7,3.934468e-7,0.0000043051477,0.0006301104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991719,0.000004221627,0.00036637724,0.00016166447,0.00005218573,0.00024361975],"domain_scores_gemma":[0.99891675,0.00002132735,0.0002973547,0.000098241035,0.00009847908,0.0005678391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071132655,0.000069343514,0.00020397874,0.0005790977,0.00022205782,0.00015827418,0.00033337355,0.00002728961,0.00019226967],"category_scores_gemma":[0.00008138057,0.00006929943,0.00008081421,0.0003334591,0.00058826595,0.00045900422,0.000012067978,0.00008612569,0.000025868463],"study_design_candidate":"theoretical_or_conceptual","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":[0.000006047876,0.000005954389,0.27926645,0.0000025987324,0.000022529715,0.00006727436,0.0003369385,0.00015149037,0.000018246463,0.71578,0.001482075,0.0028603955],"study_design_scores_gemma":[0.00027260996,0.000089349436,0.23858194,0.00003128118,0.000006097378,0.0007473924,0.00023570118,0.001163876,0.000013456218,0.21901323,0.53960735,0.00023770695],"about_ca_topic_score_codex":0.014280529,"about_ca_topic_score_gemma":0.009328483,"teacher_disagreement_score":0.5381253,"about_ca_system_score_codex":0.00014224806,"about_ca_system_score_gemma":0.00038419839,"threshold_uncertainty_score":0.99228346},"labels":[],"label_agreement":null},{"id":"W1537526613","doi":"10.1257/aer.20141374","title":"In Search of Labor Demand","year":2014,"lang":"en","type":"article","venue":"American Economic Review","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":"York University; University of British Columbia","funders":"","keywords":"Download; Externality; Economics; Labor demand; Elasticity (physics); Labour economics; Developing country; Wage; Price elasticity of demand; Population; Microeconomics; Economic growth","score_opus":0.023213222482382022,"score_gpt":0.2558419035960571,"score_spread":0.23262868111367505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537526613","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":[0.797368,0.07601933,0.0018340467,0.026063312,0.0003588345,0.00067843054,0.00016952108,0.000024492987,0.09748404],"genre_scores_gemma":[0.89846414,0.09763014,0.0004340477,0.0029956303,0.00007425225,0.000024434587,0.000009070399,0.000019466519,0.00034880225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828416,0.000040955474,0.0010630484,0.00037226392,0.000016358523,0.00022320877],"domain_scores_gemma":[0.99882406,0.00008687182,0.0005958158,0.00040261296,0.000013766202,0.00007687703],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010933522,0.00013249845,0.0011258691,0.00020798192,0.000019796526,0.000013801357,0.00029064287,0.000025840656,0.0006642707],"category_scores_gemma":[0.00005871745,0.00014742924,0.00021381785,0.00021884765,0.00015639396,0.00014085804,0.000050210736,0.00008611749,0.0010670982],"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":[0.000011813908,0.00008469773,0.16472064,0.00058447523,0.00013509908,0.0000014245991,0.00008901993,0.0010745117,0.0000069008197,0.79563695,0.003531218,0.034123246],"study_design_scores_gemma":[0.0008644355,0.0002774124,0.08676277,0.0005379081,0.00003695999,0.000008019894,0.000048868318,0.023501802,0.00006443696,0.037448123,0.8495922,0.0008570334],"about_ca_topic_score_codex":0.0040990906,"about_ca_topic_score_gemma":0.00037798684,"teacher_disagreement_score":0.846061,"about_ca_system_score_codex":0.00010287807,"about_ca_system_score_gemma":0.000026151176,"threshold_uncertainty_score":0.9997107},"labels":[],"label_agreement":null},{"id":"W1539816875","doi":"10.2139/ssrn.1403980","title":"A Decade of Growth: The Emerging Geography of New Economy Industries in the 1990s","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economic geography; Economy; Geography; Economics","score_opus":0.017035226415634538,"score_gpt":0.20573902891322757,"score_spread":0.18870380249759303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539816875","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":[0.9582332,0.014535338,0.0036119674,0.008336553,0.00010425181,0.00015197106,0.000008040977,0.0000029039804,0.015015781],"genre_scores_gemma":[0.99328643,0.0062978687,0.00003149456,0.00016501028,0.00007017554,0.000003854013,0.0000013135576,0.000009448288,0.00013442738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982855,0.000046251258,0.00078038126,0.00015666286,0.000037377657,0.00069387496],"domain_scores_gemma":[0.9989668,0.00009102647,0.0006765092,0.00019661787,0.000034440825,0.00003456376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025560984,0.00011486211,0.00034784616,0.00033719963,0.00010215907,0.000039044866,0.00046842126,0.000067120905,0.000060108378],"category_scores_gemma":[0.00010707433,0.00008276577,0.0002634426,0.0005027891,0.000081980004,0.00015214527,0.000017443535,0.0007881052,0.0000070696938],"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":[0.000007749406,0.000030093002,0.12348726,0.000002408294,0.00015956692,2.6972432e-7,0.00026364464,0.00022702957,0.0000011855894,0.8747905,0.00010031426,0.00093001884],"study_design_scores_gemma":[0.00042042934,0.00008703979,0.009742057,0.000007048382,0.000018487885,0.000031713098,0.001563771,0.0001612528,0.000048753398,0.97393787,0.013870154,0.00011142385],"about_ca_topic_score_codex":0.0022930584,"about_ca_topic_score_gemma":0.0013922577,"teacher_disagreement_score":0.1137452,"about_ca_system_score_codex":0.00012189995,"about_ca_system_score_gemma":0.00046542895,"threshold_uncertainty_score":0.3466434},"labels":[],"label_agreement":null},{"id":"W1540639225","doi":"10.2139/ssrn.1427275","title":"Provincial Income Disparities Through an Urban-Rural Lens: Evidence from the 2001 Census","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Geography; American Community Survey; Lens (geology); Socioeconomics; Demographic economics; Sociology; Economics; Demography; Population","score_opus":0.03674038066360681,"score_gpt":0.2348396771519591,"score_spread":0.19809929648835228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540639225","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":[0.93325734,0.029946513,0.0038782149,0.03102912,0.00037109226,0.00016882448,0.00022121247,0.000030221601,0.0010974808],"genre_scores_gemma":[0.9603454,0.035267416,0.00026665092,0.0008348192,0.0024724891,0.000010805981,0.000029036692,0.00002980096,0.00074358407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970974,0.000055251334,0.00078433915,0.00034756,0.00008626708,0.0016292352],"domain_scores_gemma":[0.99881774,0.0001355453,0.00053346355,0.0003701502,0.00005533901,0.00008777522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014866653,0.00022970549,0.0004418686,0.00008170447,0.00048851845,0.00027581165,0.000729416,0.00010873085,0.00015687352],"category_scores_gemma":[0.00013299102,0.00018944006,0.00029826263,0.00016323452,0.00011776608,0.0016720248,0.000072483286,0.0011580855,0.00015902062],"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":[0.000076118005,0.00008150541,0.123954564,0.0000021587261,0.0002920166,0.0000017854803,0.00037795855,0.0006350904,0.000009483313,0.8710701,0.001450362,0.0020488645],"study_design_scores_gemma":[0.0007056958,0.00030296546,0.032876387,0.00004010837,0.000056840356,0.0000707842,0.00056987786,0.008142801,0.000012893381,0.90221095,0.054457687,0.0005530296],"about_ca_topic_score_codex":0.01617755,"about_ca_topic_score_gemma":0.03408799,"teacher_disagreement_score":0.09107818,"about_ca_system_score_codex":0.0011242684,"about_ca_system_score_gemma":0.00044647357,"threshold_uncertainty_score":0.9903738},"labels":[],"label_agreement":null},{"id":"W1542449477","doi":"","title":"The Bright Side of MAUP: an Enquiry on the Determinants of Industrial Agglomeration in the United States","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Economies of agglomeration; Metropolitan area; Ranking (information retrieval); Economic geography; Sample (material); Econometrics; Quarter (Canadian coin); Economics; Geography; Zoning; Spatial econometrics; Regional science; Economic growth; Engineering; Computer science","score_opus":0.11580538690167849,"score_gpt":0.31022185917735157,"score_spread":0.19441647227567307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542449477","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":[0.98845345,0.00015593227,0.000002367063,0.0018464274,0.00022794098,0.0007782784,0.00023773607,0.0000040841855,0.008293804],"genre_scores_gemma":[0.9642597,0.03486539,0.00001890955,0.00015398696,0.00017423934,0.00016858899,0.00013654512,0.000033797874,0.00018887568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963693,0.00044438164,0.0018720255,0.0006706148,0.00013242976,0.000511268],"domain_scores_gemma":[0.99533695,0.0019744087,0.0011458452,0.0013735294,0.00009897068,0.00007028478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005163403,0.00028330108,0.0008226324,0.0008594904,0.00028196131,0.00015860946,0.0015592591,0.00037715852,0.00003401282],"category_scores_gemma":[0.0006242675,0.00019444776,0.00029772066,0.00039661242,0.0007235048,0.00011010424,0.0003617397,0.0012998094,0.000009038987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013658938,0.0015933767,0.26074052,0.00016692923,0.0007957714,0.000059309896,0.009532974,0.417806,0.000019330257,0.15661684,0.0006755027,0.15062758],"study_design_scores_gemma":[0.002434942,0.00084029627,0.061279498,0.00042412366,0.000028617691,0.000014814902,0.0053247917,0.7554443,0.0005685745,0.12093796,0.051466305,0.0012357851],"about_ca_topic_score_codex":0.0057423795,"about_ca_topic_score_gemma":0.0055624945,"teacher_disagreement_score":0.33763832,"about_ca_system_score_codex":0.00038007819,"about_ca_system_score_gemma":0.00024084495,"threshold_uncertainty_score":0.86807984},"labels":[],"label_agreement":null},{"id":"W1544562706","doi":"10.1111/joie.12103","title":"Spillovers in Space: Does Geography Matter?","year":2016,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Productivity; Economic geography; Product (mathematics); Construct (python library); Space (punctuation); Distribution (mathematics); Location; Industrial organization; Geographical distance; Panel data; Business; Regional science; Geography; Economics; Econometrics; Computer science; Economic growth","score_opus":0.02808355421550953,"score_gpt":0.19749395374163503,"score_spread":0.1694103995261255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544562706","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":[0.97637564,0.00021033372,0.0003186047,0.013511812,0.001507661,0.00009373552,0.00010012835,0.000004074946,0.007877991],"genre_scores_gemma":[0.9966272,0.0016092736,0.00023843124,0.00031543407,0.00081705325,0.0000026299467,0.0000014985479,0.000025370167,0.00036311708],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99763143,0.000020382176,0.001724532,0.00028505694,0.000028842025,0.00030975346],"domain_scores_gemma":[0.9977272,0.00012625344,0.001688491,0.0002479966,0.00004360597,0.0001664614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010009587,0.00019234848,0.00081825553,0.0009290718,0.000039824783,0.00008741196,0.0003993055,0.0002225984,0.0011282876],"category_scores_gemma":[0.00012262413,0.00014067936,0.00049589673,0.00017812331,0.000094198636,0.0005952746,0.000054762768,0.00023946248,0.000319073],"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":[0.00016069498,0.00008608057,0.8991453,0.000002496426,0.00021607084,0.000011726933,0.000042231954,0.0005550514,0.000018992892,0.09327944,0.0020644881,0.004417397],"study_design_scores_gemma":[0.014304831,0.0006136998,0.11727115,0.00025336083,0.000068999296,0.00008412579,0.00029799822,0.00075621967,0.0005636702,0.45887342,0.40539286,0.0015196729],"about_ca_topic_score_codex":0.00041380065,"about_ca_topic_score_gemma":0.00014095513,"teacher_disagreement_score":0.7818742,"about_ca_system_score_codex":0.00035080957,"about_ca_system_score_gemma":0.00007831891,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W1545118401","doi":"","title":"De Labrador City a Toronto : la diversite industrielle des villes canadiennes, 1992 a 2002","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.04076840820418557,"score_gpt":0.2513851306321958,"score_spread":0.21061672242801024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545118401","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":[0.5943563,0.005294709,0.0000435564,0.0015472488,0.00055826706,0.0006420953,0.001141448,0.000022380382,0.396394],"genre_scores_gemma":[0.76790094,0.15849556,0.0020521563,0.00035477482,0.00045471208,0.00026321367,0.00016821947,0.0001747455,0.070135675],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932609,0.00046492834,0.0018599675,0.0020763492,0.00012486987,0.002212944],"domain_scores_gemma":[0.99588907,0.00085435115,0.0008386754,0.0014078326,0.000145339,0.00086472224],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004557972,0.0007697082,0.0017902514,0.00077109796,0.0007172491,0.00060313434,0.0014746031,0.0014993584,0.0051565263],"category_scores_gemma":[0.000746204,0.0010874616,0.00080342166,0.00039392943,0.0012119692,0.0004950007,0.0012168706,0.002142033,0.00013782315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003247046,0.0013118791,0.32146645,0.00040370683,0.0024208685,0.00037060693,0.0056282217,0.042245604,0.000014557641,0.25471717,0.0034187627,0.36767745],"study_design_scores_gemma":[0.0014333639,0.00019898372,0.05564213,0.00028209446,0.00005483693,0.00005345418,0.0033578975,0.039417144,0.0000142303725,0.016292801,0.88163894,0.0016141419],"about_ca_topic_score_codex":0.3047056,"about_ca_topic_score_gemma":0.46399748,"teacher_disagreement_score":0.87822014,"about_ca_system_score_codex":0.010587155,"about_ca_system_score_gemma":0.0010207742,"threshold_uncertainty_score":0.9997969},"labels":[],"label_agreement":null},{"id":"W1545569544","doi":"10.1111/j.1365-2966.2007.00399.x","title":"Canadian cities as regional engines of growth: agglomeration and amenities","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada; University of Saskatchewan","funders":"","keywords":"Economic geography; Metropolitan area; Economies of agglomeration; Amenity; Geography; Population growth; Population; Urban agglomeration; Development economics; Demographic economics; Economic growth; Economics; Demography; Sociology","score_opus":0.09786384646911292,"score_gpt":0.17011403667593583,"score_spread":0.07225019020682291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545569544","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":[0.98606783,0.001611031,0.00013294796,0.0050243447,0.0007092502,0.00013579272,0.00032866042,0.0000034250297,0.005986709],"genre_scores_gemma":[0.99644744,0.00088944536,0.0004406002,0.00096451864,0.0004780712,0.0000047670096,0.000031444128,0.000043524367,0.00070019177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972798,0.00001646949,0.0016284899,0.000359956,0.000002974953,0.0007122849],"domain_scores_gemma":[0.996332,0.00015520774,0.0011611973,0.00025941542,0.00025771573,0.0018344759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012034015,0.0002867707,0.0009086349,0.0023581348,0.00020868305,0.00014497801,0.00039949245,0.00022613951,0.00038257326],"category_scores_gemma":[0.00021235702,0.00038275844,0.00029423536,0.00017910398,0.0002780871,0.0005593377,0.000015805219,0.00024899194,0.000027911672],"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":[0.0000310739,0.0000059817435,0.03948132,0.000029770734,0.00021660369,0.00004657713,0.0011185738,0.0006891182,0.000004695968,0.957428,0.00033293734,0.0006153432],"study_design_scores_gemma":[0.0007750548,0.0004104195,0.01470402,0.000085994834,0.000050423077,0.0005424082,0.001642289,0.0017539872,0.00014203141,0.91601276,0.063100904,0.0007797022],"about_ca_topic_score_codex":0.928853,"about_ca_topic_score_gemma":0.9980493,"teacher_disagreement_score":0.06919632,"about_ca_system_score_codex":0.0017052334,"about_ca_system_score_gemma":0.0015104635,"threshold_uncertainty_score":0.99986243},"labels":[],"label_agreement":null},{"id":"W1546120177","doi":"10.2139/ssrn.1600333","title":"Cities and Growth: Earnings Levels Across Urban and Rural Areas: The Role of Human Capital","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Statistics Canada","funders":"","keywords":"Earnings; Human capital; Urbanization; Geography; Demographic economics; Economics; Labour economics; Economic geography; Business; Development economics; Economic growth; Finance","score_opus":0.008209531447629653,"score_gpt":0.19979337242206552,"score_spread":0.19158384097443587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546120177","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":[0.99390393,0.0041562533,0.000069859874,0.0008728304,0.00006139952,0.00004274845,0.00003100239,0.000004290061,0.0008576525],"genre_scores_gemma":[0.9977836,0.0014718239,0.000010730817,0.000038376365,0.00018411352,0.0000025945776,0.0000028710595,0.000013464323,0.0004924378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99870914,0.000010896169,0.00039150633,0.00015643101,0.00003278483,0.00069921673],"domain_scores_gemma":[0.9993692,0.00003673065,0.00037747278,0.000113354065,0.000040355328,0.00006288346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010515557,0.00011749878,0.00028404844,0.00008700344,0.00036038007,0.00012561583,0.00019321265,0.00006959461,0.00004166808],"category_scores_gemma":[0.000042239906,0.00009844522,0.00011148524,0.00006300384,0.0002174818,0.00019183535,0.00005926913,0.0008677081,0.0000061056207],"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":[0.0000048374836,0.00000959893,0.27730933,0.000001907904,0.00010640811,2.1340887e-7,0.0008537502,0.0000018616581,0.00022693007,0.7207827,0.000004599385,0.00069786556],"study_design_scores_gemma":[0.00028636385,0.00011255981,0.16088451,0.0000035911032,0.000011013589,0.00007930046,0.0033710862,0.00024478915,0.00006709169,0.83414143,0.0006625559,0.00013571414],"about_ca_topic_score_codex":0.0019525795,"about_ca_topic_score_gemma":0.0029726417,"teacher_disagreement_score":0.11642481,"about_ca_system_score_codex":0.0000590909,"about_ca_system_score_gemma":0.00007205394,"threshold_uncertainty_score":0.40144795},"labels":[],"label_agreement":null},{"id":"W1547422569","doi":"10.1111/j.1468-0297.2011.02439.x","title":"Assessing the Effects of Local Taxation using Microgeographic Data","year":2011,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Leverhulme Trust","keywords":"Endogeneity; Economics; Econometrics; Work (physics); Instrumental variable; Public economics","score_opus":0.09183298477945934,"score_gpt":0.25997856845140926,"score_spread":0.16814558367194993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547422569","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":[0.9573117,0.0022881816,0.037257202,0.0004361915,0.0007917999,0.000106880434,0.000021962429,0.00000510589,0.0017809697],"genre_scores_gemma":[0.9983616,0.0006453461,0.0005284249,0.00014798463,0.0002619526,0.0000018288385,0.0000058844594,0.000017417153,0.000029565059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865556,0.000052431038,0.00080965966,0.00024101134,0.000023497023,0.00021787046],"domain_scores_gemma":[0.9973064,0.00014592164,0.0018037772,0.0006650111,0.000021474067,0.000057436937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016189102,0.00012950788,0.00034795172,0.00016943122,0.00033850927,0.0001746737,0.0010619696,0.0000576443,0.00022906388],"category_scores_gemma":[0.000057844107,0.000090858586,0.00020194228,0.00009690411,0.00024131831,0.00062802114,0.00018368546,0.00023819656,0.00007746676],"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":[0.00011087118,0.0003412021,0.32605577,0.00014347206,0.004190503,0.000027736065,0.004922167,0.015314715,0.00066814007,0.61272556,0.0031209718,0.03237891],"study_design_scores_gemma":[0.0014511986,0.00014889367,0.16742784,0.00010491032,0.00031962435,0.00039595322,0.0017334621,0.52544296,0.001016974,0.2945113,0.0067087533,0.0007381588],"about_ca_topic_score_codex":0.0022424306,"about_ca_topic_score_gemma":0.00011464599,"teacher_disagreement_score":0.51012826,"about_ca_system_score_codex":0.00012695408,"about_ca_system_score_gemma":0.00007609326,"threshold_uncertainty_score":0.37051055},"labels":[],"label_agreement":null},{"id":"W1550363554","doi":"10.52324/001c.8651","title":"Lots of Bull: Regional Impacts of the 1990s Stock Market Boom","year":2000,"lang":"en","type":"article","venue":"Review of Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Boom; Metropolitan area; Deregulation; Stock market; Stock (firearms); Economics; Work (physics); Personal income; Business; Economy; Geography; Market economy; Economic growth; Engineering","score_opus":0.060501457248365226,"score_gpt":0.2688013215972051,"score_spread":0.20829986434883987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550363554","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13439474,0.83413893,0.00001322244,0.017227404,0.00011104564,0.00041560913,0.00018155352,0.0000067572014,0.013510733],"genre_scores_gemma":[0.27957714,0.71722186,0.00016019905,0.0010474382,0.000068162844,0.000017778762,0.000007917612,0.000014568449,0.0018849104],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809194,0.000040058112,0.0012816642,0.00028417396,0.000120149794,0.0001820008],"domain_scores_gemma":[0.997962,0.00017402365,0.0012231539,0.00043389483,0.00015642843,0.000050526112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065169734,0.0001876568,0.0012558795,0.000095678704,0.00007542535,0.000004248405,0.0003976721,0.000051931533,0.0007398805],"category_scores_gemma":[0.00014103325,0.00014002225,0.00076720666,0.00034214545,0.00038416422,0.000080607424,0.00008360541,0.00008796194,0.000028455974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002460628,0.0007064392,0.092985086,0.018388307,0.0051577645,0.000003619978,0.0006063099,0.00021713818,0.000027971517,0.3571021,0.5031975,0.021361703],"study_design_scores_gemma":[0.000594279,0.00016636921,0.10212248,0.005931285,0.00017983126,0.000017096572,0.00006957707,0.00021000135,0.000038087375,0.028080214,0.8621887,0.00040210187],"about_ca_topic_score_codex":0.0005699858,"about_ca_topic_score_gemma":0.00008317973,"teacher_disagreement_score":0.35899118,"about_ca_system_score_codex":0.00005969747,"about_ca_system_score_gemma":0.0000453318,"threshold_uncertainty_score":0.81011724},"labels":[],"label_agreement":null},{"id":"W1553095394","doi":"10.22004/ag.econ.28057","title":"Sub-Provincial Income Disparity in Canada: Evidence From 1992 to 1999","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Economics; Demographic economics; Econometrics","score_opus":0.04630450178384052,"score_gpt":0.21093169233682785,"score_spread":0.16462719055298733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553095394","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":[0.9898071,0.0009659487,0.0013022402,0.0039256006,0.0003278343,0.00038872118,0.0019641214,0.0000069433413,0.0013114671],"genre_scores_gemma":[0.99632597,0.0020134426,0.00085257174,0.00016644377,0.00006981831,0.0000026301589,0.0001143605,0.000022521515,0.00043221886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739015,0.00009639999,0.0006977267,0.0011258292,0.00016059827,0.0005293099],"domain_scores_gemma":[0.9979512,0.00025633269,0.00053653406,0.00081470376,0.0000876116,0.0003535911],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000832915,0.00032708544,0.0012806943,0.0006582155,0.00014318281,0.000058304875,0.001219158,0.00028371872,0.0011344472],"category_scores_gemma":[0.00014377428,0.00049283874,0.0003286827,0.0004194034,0.00012497579,0.0002991688,0.001070802,0.0006844883,0.00029605214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015514357,0.00011925285,0.9781345,0.00017506714,0.0003318224,0.00020181229,0.0010863754,0.008194665,0.000042383585,0.005875605,0.003541906,0.002141443],"study_design_scores_gemma":[0.00059305964,0.00006327109,0.9724847,0.00022461162,0.000036300447,0.0000010642583,0.0004656195,0.013254508,0.000053554995,0.0055787694,0.006422827,0.00082169217],"about_ca_topic_score_codex":0.9965849,"about_ca_topic_score_gemma":0.99689454,"teacher_disagreement_score":0.006518869,"about_ca_system_score_codex":0.0020062996,"about_ca_system_score_gemma":0.0012835648,"threshold_uncertainty_score":0.9997786},"labels":[],"label_agreement":null},{"id":"W1555786269","doi":"10.1111/j.1540-5982.2011.01697.x","title":"A spatial network approach to urban configurations","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comparative statics; Locality; Core (optical fiber); Computer science; Spatial network; Outcome (game theory); Population; Urban spatial structure; Statics; Mathematical optimization; Geography; Economics; Mathematical economics; Microeconomics; Mathematics; Urban planning; Ecology; Physics","score_opus":0.13612133889468822,"score_gpt":0.17280873933955893,"score_spread":0.036687400444870705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555786269","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":[0.95581555,0.0011254264,0.0065004933,0.0031105606,0.0025290514,0.00033088576,0.00040448,0.000008397472,0.030175153],"genre_scores_gemma":[0.9915786,0.00007981066,0.0022592878,0.0016691698,0.0033934275,0.000033084038,0.000045265213,0.00007034825,0.0008710429],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99654186,0.00003433497,0.0017077178,0.00043575265,0.0000022437648,0.0012781196],"domain_scores_gemma":[0.99476284,0.00008424044,0.0011163428,0.0005081248,0.00013283399,0.0033956303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013258772,0.0003511339,0.0010946632,0.0010252604,0.00029653133,0.00022538916,0.00070490467,0.0002286165,0.00062634086],"category_scores_gemma":[0.0001937089,0.00046039966,0.000494254,0.00027709754,0.00011594089,0.0006910083,0.00003164456,0.00034465306,0.0003505366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023624541,0.000030319274,0.04802869,0.0000103115935,0.00024686303,0.000005601829,0.0011662765,0.017037755,0.000001301442,0.92780167,0.005232649,0.00041493835],"study_design_scores_gemma":[0.0010305698,0.00036815135,0.022365382,0.000050979306,0.000088335364,0.00035937148,0.00043354754,0.013099094,0.000018808298,0.31641304,0.6443395,0.001433211],"about_ca_topic_score_codex":0.20803484,"about_ca_topic_score_gemma":0.783495,"teacher_disagreement_score":0.63910687,"about_ca_system_score_codex":0.0016328683,"about_ca_system_score_gemma":0.0006623176,"threshold_uncertainty_score":0.99978477},"labels":[],"label_agreement":null},{"id":"W1557976777","doi":"","title":"Stockyards Districts as Industrial Clusters in Two Western Canadian Cities","year":2004,"lang":"en","type":"article","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Metropolitan area; Economies of agglomeration; Economic geography; Livestock; Resource (disambiguation); Urban agglomeration; Geography; Economy; Economic growth; Economics; Forestry","score_opus":0.07021457961729448,"score_gpt":0.2494553311833675,"score_spread":0.179240751566073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557976777","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":[0.9629916,0.00011996294,0.00030849472,0.010858873,0.00024564326,0.0003820286,0.00032743101,0.000011619911,0.024754332],"genre_scores_gemma":[0.9960313,0.00012997816,0.00043227896,0.000752308,0.000068229965,0.0000016731015,0.000086943146,0.000022994527,0.0024743176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825007,0.00005899312,0.000498244,0.0006123785,0.00009312131,0.00048718313],"domain_scores_gemma":[0.99858135,0.000053528212,0.00045778992,0.0004628789,0.0000652587,0.00037918257],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011075045,0.00023335575,0.00073948054,0.000825815,0.0003169019,0.00026100152,0.0013879096,0.00020283392,0.00039109463],"category_scores_gemma":[0.0001041396,0.00034164314,0.00023080733,0.0005870155,0.0001796373,0.0013340024,0.0003351622,0.0005489518,0.00051343546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022414578,0.00016436067,0.8157293,0.00002646582,0.00026961017,0.0002192615,0.0017220981,0.004702494,0.000015558011,0.17356832,0.0008155075,0.0025428596],"study_design_scores_gemma":[0.016896827,0.0004156955,0.7713426,0.0003300865,0.00010343423,0.000036405254,0.003613709,0.0009174546,0.000087674256,0.060405392,0.14369957,0.0021511784],"about_ca_topic_score_codex":0.78131694,"about_ca_topic_score_gemma":0.51198894,"teacher_disagreement_score":0.26932797,"about_ca_system_score_codex":0.00091370527,"about_ca_system_score_gemma":0.0004773302,"threshold_uncertainty_score":0.99990356},"labels":[],"label_agreement":null},{"id":"W1558522477","doi":"10.1111/j.1365-2966.2006.0547.x","title":"EXPLORING THE DETAILED LOCATION PATTERNS OF U.K. MANUFACTURING INDUSTRIES USING MICROGEOGRAPHIC DATA*","year":2008,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":262,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council","keywords":"Stylized fact; Point (geometry); Set (abstract data type); Industrial organization; Business; Econometrics; Economic geography; Marketing; Computer science; Economics; Mathematics; Macroeconomics","score_opus":0.25328269010679794,"score_gpt":0.2572119393430412,"score_spread":0.003929249236243271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558522477","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":[0.99441725,0.0005367467,0.0035772903,0.0011552521,0.00021428619,0.000038504586,0.000012836483,0.0000017837369,0.000046042667],"genre_scores_gemma":[0.99777484,0.001490899,0.0004969331,0.000074532814,0.00013712866,7.7695836e-7,0.0000017758389,0.000005347929,0.000017761282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987549,0.000011393492,0.0007089596,0.00020760039,0.0001449419,0.00017218427],"domain_scores_gemma":[0.9982599,0.00006427459,0.0011156639,0.00032718046,0.00015703624,0.00007595786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012062936,0.00008677341,0.00027955405,0.0004549167,0.00030313764,0.00004720882,0.0009787228,0.000024627727,0.00001777628],"category_scores_gemma":[0.0000897434,0.00006748454,0.00010456053,0.0005088646,0.00041374867,0.0012435329,0.00013357746,0.00015785849,0.000004363483],"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":[0.00006448353,0.00016438944,0.941588,0.000036088786,0.0002690562,0.000028503931,0.0010958774,0.023688406,0.0010321655,0.02751751,0.00023809655,0.004277422],"study_design_scores_gemma":[0.00049786986,0.00009931127,0.9637986,0.00012800352,0.000038481106,0.0005120359,0.00059957633,0.013520492,0.0059376685,0.0050547584,0.009490269,0.00032292935],"about_ca_topic_score_codex":0.00060391915,"about_ca_topic_score_gemma":0.000049237875,"teacher_disagreement_score":0.022462752,"about_ca_system_score_codex":0.00007441996,"about_ca_system_score_gemma":0.0001661214,"threshold_uncertainty_score":0.27519396},"labels":[],"label_agreement":null},{"id":"W1561948742","doi":"10.3386/w20921","title":"Cities and Ideas","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Aging","keywords":"Geography","score_opus":0.4813512322146028,"score_gpt":0.4680683187847652,"score_spread":0.013282913429837617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561948742","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004665263,0.011273845,0.000012453421,0.0022812488,0.00054325466,0.00028469905,0.0008005895,0.000012552389,0.9801261],"genre_scores_gemma":[0.942972,0.014126526,0.00026411295,0.00006134304,0.0015838144,0.000103245984,0.00056873506,0.000088885274,0.04023136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966854,0.000050521674,0.0014843949,0.000807773,0.0005513877,0.0004205121],"domain_scores_gemma":[0.996093,0.0004240147,0.0008633668,0.0003847132,0.0020141231,0.00022080018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.011044591,0.00027155748,0.0011697738,0.0017308446,0.0001335752,0.00014951792,0.0005214247,0.00045535542,0.00091042626],"category_scores_gemma":[0.0016831628,0.0003209487,0.00029107314,0.00019125028,0.00047531375,0.0002317293,0.0002982831,0.0005757687,0.00067520124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018278997,0.000029673445,0.0027117522,0.00008582484,0.00030462502,0.0000016533811,0.000051756746,0.00016799803,8.2055476e-7,0.8463907,0.14993002,0.00030690554],"study_design_scores_gemma":[0.00024981238,0.000059200178,0.00056026794,0.000029872854,0.000007514632,0.000010648414,0.000040114424,0.0013900826,0.000003202926,0.7483134,0.2490997,0.00023616567],"about_ca_topic_score_codex":0.016081301,"about_ca_topic_score_gemma":0.0010860297,"teacher_disagreement_score":0.93989474,"about_ca_system_score_codex":0.0025953068,"about_ca_system_score_gemma":0.0024681885,"threshold_uncertainty_score":0.99992424},"labels":[],"label_agreement":null},{"id":"W1562285835","doi":"10.7202/600508ar","title":"Une analyse log-linéaire des courants migratoires interprovinciaux : Canada, 1961-1983","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.015195830992333995,"score_gpt":0.19277713492975102,"score_spread":0.17758130393741703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562285835","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":[0.87106735,0.109666094,0.0020491912,0.010645744,0.0011708679,0.00026748108,0.0016333784,0.000045953428,0.003453924],"genre_scores_gemma":[0.93597126,0.051159,0.0007743752,0.0027937286,0.0003989701,0.00004608981,0.00016541193,0.00010431476,0.0085868295],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99552613,0.00009822653,0.0016899359,0.0011739009,0.00016032523,0.0013515042],"domain_scores_gemma":[0.99693066,0.00022416926,0.000972832,0.00090976653,0.0002082557,0.00075431756],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00054471515,0.0007125089,0.0015267178,0.0011654568,0.0011307589,0.00013978139,0.0008935587,0.0006158908,0.00033380723],"category_scores_gemma":[0.00025053057,0.00091816264,0.0012057429,0.0023988918,0.0028967245,0.0004189456,0.00009052477,0.0007818445,0.00009645766],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001383644,0.00043330176,0.8344086,0.0002551724,0.0027021142,0.001041694,0.0045590578,0.0026128117,0.00001928677,0.03332019,0.10379291,0.016716532],"study_design_scores_gemma":[0.001878753,0.00035742737,0.38459483,0.00033577852,0.00052980677,0.00040057726,0.004184096,0.025139125,0.00012027055,0.020342775,0.55934256,0.0027740062],"about_ca_topic_score_codex":0.99104244,"about_ca_topic_score_gemma":0.99784917,"teacher_disagreement_score":0.45554966,"about_ca_system_score_codex":0.0020906068,"about_ca_system_score_gemma":0.0019637023,"threshold_uncertainty_score":0.99981683},"labels":[],"label_agreement":null},{"id":"W1565590677","doi":"10.7202/1014549ar","title":"La concentration des fonctions à haut contenu en savoir dans le secteur de la production des biens : quel avenir pour les régions non métropolitaines du Québec ?","year":2013,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.009860045380661491,"score_gpt":0.18645377983584732,"score_spread":0.17659373445518584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565590677","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":[0.9170235,0.005047632,0.035750613,0.03496841,0.00040503836,0.00040909517,0.00010044033,0.00008036363,0.0062149223],"genre_scores_gemma":[0.9754974,0.0075611253,0.0012605186,0.0002748941,0.0006345724,0.00022931136,0.000053426553,0.00008470496,0.014404022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712795,0.00041103907,0.0009071555,0.00073248893,0.000061836894,0.00075954874],"domain_scores_gemma":[0.99768984,0.0006940991,0.00054822734,0.00042967265,0.00027556528,0.00036260637],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0009217258,0.0004445875,0.0006644783,0.000614237,0.0014015747,0.00036512714,0.00035771346,0.0005806405,0.00027165646],"category_scores_gemma":[0.0010903813,0.0005458718,0.0007207498,0.000791271,0.008736017,0.0007642457,0.000054201504,0.00060900586,0.00017775047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000329235,0.00049036427,0.71815145,0.00012411199,0.00067966373,0.000019464174,0.007975988,0.0054117017,0.00063922873,0.25175378,0.0071576326,0.0075637023],"study_design_scores_gemma":[0.0014870124,0.00021782675,0.72305125,0.00016481045,0.0003639598,0.00039357124,0.0092589455,0.036957785,0.000380816,0.103133455,0.12337046,0.0012201252],"about_ca_topic_score_codex":0.79998595,"about_ca_topic_score_gemma":0.71965903,"teacher_disagreement_score":0.1486203,"about_ca_system_score_codex":0.0033813955,"about_ca_system_score_gemma":0.0013961744,"threshold_uncertainty_score":0.9998985},"labels":[],"label_agreement":null},{"id":"W1565600135","doi":"","title":"Multinationales etrangeres et effectif des sieges sociaux des entreprises canadiennes de fabrication","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Siege; Humanities; Political science; Geography; Art; Archaeology","score_opus":0.054655628287274334,"score_gpt":0.30462387881467995,"score_spread":0.24996825052740562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565600135","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":[0.94646126,0.0056184945,0.0002091457,0.004612865,0.0004352134,0.0007767822,0.00071375334,0.00004030434,0.041132208],"genre_scores_gemma":[0.84336144,0.13958305,0.0051229307,0.00020320053,0.00061246037,0.0004297669,0.0002927311,0.000119836295,0.010274607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99395883,0.0005156001,0.0018679519,0.0018441147,0.0001362263,0.0016772759],"domain_scores_gemma":[0.99490315,0.002327245,0.00096076995,0.000954753,0.00038655443,0.00046754224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005201196,0.0006705475,0.0014069309,0.0014953671,0.0007560847,0.00054100103,0.0011209479,0.00081341417,0.00082608394],"category_scores_gemma":[0.0020594113,0.0009188287,0.0007715582,0.00041227054,0.0016040541,0.00053957157,0.0006249385,0.001474398,0.00016594808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007912398,0.0005644654,0.43046105,0.0003465503,0.00064975105,0.00001786454,0.0040885224,0.10059237,0.00003790188,0.07872981,0.0001274793,0.38430512],"study_design_scores_gemma":[0.0009902563,0.00013001038,0.73402214,0.0004052989,0.00004551386,0.000019376565,0.0016163521,0.102765225,0.00012956711,0.08353122,0.075108476,0.0012365462],"about_ca_topic_score_codex":0.032086115,"about_ca_topic_score_gemma":0.18923867,"teacher_disagreement_score":0.38306856,"about_ca_system_score_codex":0.007211926,"about_ca_system_score_gemma":0.0007655163,"threshold_uncertainty_score":0.9993262},"labels":[],"label_agreement":null},{"id":"W1568275783","doi":"","title":"The Empirical Study on the Different Effects on Urban and Rural Consumption by Urbanization in China","year":2015,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urbanization; Consumption (sociology); China; Granger causality; Economics; Economic growth; Agricultural economics; Rural area; Economic geography; Demographic economics; Development economics; Geography; Econometrics; Political science; Sociology","score_opus":0.0757840617724717,"score_gpt":0.3090508440259553,"score_spread":0.23326678225348357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568275783","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":[0.9898072,0.0011389713,0.000011892609,0.007580391,0.00007396486,0.0003763434,0.000013636426,0.000014944141,0.0009826553],"genre_scores_gemma":[0.99885356,0.0004231637,0.0000026984385,0.00026169294,0.0000306792,0.00007217815,0.00008067957,0.000009507779,0.00026581401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990928,0.00012827684,0.00038902296,0.00019814372,0.000052773015,0.00013895363],"domain_scores_gemma":[0.9988626,0.00029711015,0.00023833607,0.0005018244,0.00004684277,0.000053257518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005985684,0.00013758725,0.00020879309,0.00004723399,0.00046737533,0.0004912457,0.000347977,0.000059034694,0.0000058901937],"category_scores_gemma":[0.00024173458,0.00008156782,0.00005136194,0.0001195272,0.0001649801,0.00019170286,0.00009604401,0.00021811758,0.00006999715],"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":[0.00007562835,0.00019997102,0.9283427,0.0000034433876,0.000042192034,1.7014865e-7,0.0030822062,0.00015132992,0.0000129491755,0.06361353,0.0037574496,0.0007184435],"study_design_scores_gemma":[0.00075691973,0.00021491348,0.9779455,0.000013796456,0.0000061814526,4.322609e-7,0.0005429214,0.0059393845,0.000035703157,0.009125101,0.00527363,0.00014551806],"about_ca_topic_score_codex":0.00032449004,"about_ca_topic_score_gemma":0.00023193716,"teacher_disagreement_score":0.054488424,"about_ca_system_score_codex":0.00017524684,"about_ca_system_score_gemma":0.0000045976667,"threshold_uncertainty_score":0.47370934},"labels":[],"label_agreement":null},{"id":"W1570861861","doi":"","title":"Un conte de trois villes: la dynamique du secteur de la fabrication a Toronto, a Montreal et a Vancouver de 1976 a 1997","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.014603132108994733,"score_gpt":0.2603210200476251,"score_spread":0.24571788793863036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570861861","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":[0.66930234,0.0025504879,0.0039501754,0.002991787,0.00051991735,0.0010726064,0.0010219739,0.000066069144,0.31852466],"genre_scores_gemma":[0.8031248,0.18610024,0.002964725,0.00055845163,0.0005044746,0.00068689487,0.0002078017,0.00016802076,0.005684608],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9927142,0.0014069771,0.002045398,0.0018991234,0.0001241917,0.0018100883],"domain_scores_gemma":[0.99436575,0.0023598871,0.0011418157,0.0013143318,0.00018427831,0.0006339193],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009375645,0.0007671096,0.0017642223,0.00074428105,0.00033812763,0.0006364866,0.0013295157,0.0014762344,0.0006680521],"category_scores_gemma":[0.0013636578,0.0010474673,0.0009893429,0.00030241263,0.0006754928,0.00043420357,0.0007810667,0.0021852986,0.000049767907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094903045,0.0023599858,0.3593247,0.00041411907,0.0025621348,0.00050626666,0.008441333,0.18596283,0.000055681743,0.19658987,0.0018094466,0.24102463],"study_design_scores_gemma":[0.0021718494,0.00018874915,0.14419061,0.00024280544,0.0000585879,0.00012731255,0.0012350633,0.5804314,0.000011977426,0.047581825,0.22259197,0.001167872],"about_ca_topic_score_codex":0.117301114,"about_ca_topic_score_gemma":0.25503612,"teacher_disagreement_score":0.39446855,"about_ca_system_score_codex":0.011482216,"about_ca_system_score_gemma":0.001329841,"threshold_uncertainty_score":0.99982005},"labels":[],"label_agreement":null},{"id":"W1573320211","doi":"10.52324/001c.8304","title":"We’re Right, They’re Wrong, Regional Science Is Where It’s At","year":2006,"lang":"en","type":"article","venue":"Review of Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Constructive; Poverty; Sociology; Positive economics; Political science; Economics; Economic growth; Computer science","score_opus":0.07991309602165171,"score_gpt":0.2841007718773167,"score_spread":0.204187675855665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573320211","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007805231,0.8025909,0.00003435134,0.1434569,0.00018200799,0.00028231562,0.000101686535,0.000019252437,0.045527354],"genre_scores_gemma":[0.107965656,0.87584585,0.00035412432,0.003668706,0.00029935484,0.000051168445,0.00002493647,0.000024692472,0.011765509],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741447,0.000020695428,0.0012192928,0.0007373004,0.0002170763,0.00039116546],"domain_scores_gemma":[0.99797595,0.00013165994,0.0010321399,0.0005058382,0.0002607619,0.000093647956],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008864084,0.00030507374,0.0012243316,0.00024336267,0.00045337013,0.000034173423,0.0006045728,0.00006967194,0.00105106],"category_scores_gemma":[0.000061305,0.00026334112,0.00062897627,0.00048478183,0.00075917813,0.00026492387,0.00026701335,0.00011635104,0.0004455501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010233051,0.000085097854,0.0067635006,0.0015110108,0.00027483943,0.000003127912,0.00022182493,0.000036791782,0.0000057896477,0.45871824,0.5319632,0.00040628682],"study_design_scores_gemma":[0.00020754272,0.000040286053,0.0021122403,0.0017811243,0.000045549667,0.000009618209,0.00012558815,0.00010939985,0.000014800461,0.0524882,0.9427377,0.0003279498],"about_ca_topic_score_codex":0.00086330064,"about_ca_topic_score_gemma":0.0011092654,"teacher_disagreement_score":0.41077447,"about_ca_system_score_codex":0.0003528393,"about_ca_system_score_gemma":0.00008796556,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W1575501043","doi":"10.1111/j.1365-2966.2007.00446.x","title":"Technology, agglomeration, and regional competition for investment","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Economies of agglomeration; Competition (biology); Investment (military); Economics; Externality; Production (economics); Industrial organization; Economic geography; Microeconomics","score_opus":0.11539826932391688,"score_gpt":0.18361101698606677,"score_spread":0.0682127476621499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575501043","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":[0.9809583,0.0013525935,0.0039239204,0.011123752,0.00063524564,0.00025351648,0.00022790945,0.000005593957,0.0015192088],"genre_scores_gemma":[0.99413455,0.0003324563,0.002873965,0.0017186649,0.00050750043,0.00001650796,0.00004026896,0.000036628004,0.00033945063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977609,0.000007507055,0.0013073802,0.00037665028,0.0000013065589,0.000546243],"domain_scores_gemma":[0.9974608,0.00010635036,0.0010339828,0.0002451284,0.00017467981,0.0009790686],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012703142,0.00021738515,0.0006641787,0.0016123515,0.00023535076,0.000121881254,0.00030235725,0.00021712398,0.00010200964],"category_scores_gemma":[0.00014687263,0.00028901215,0.00022921179,0.00016244201,0.00019915962,0.00034644213,0.000014791527,0.00018652616,0.000017808969],"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":[0.0000311957,0.000009695603,0.011014027,0.000015695461,0.00014415474,0.000011221847,0.00020600775,0.00054495095,0.000005807898,0.9868244,0.00036089763,0.0008319665],"study_design_scores_gemma":[0.00066703046,0.00024309347,0.0020922422,0.000027056785,0.00001954047,0.00017824506,0.00023523778,0.0018349781,0.00003926621,0.8368824,0.15747401,0.0003068643],"about_ca_topic_score_codex":0.037467964,"about_ca_topic_score_gemma":0.87219155,"teacher_disagreement_score":0.83472353,"about_ca_system_score_codex":0.0011323361,"about_ca_system_score_gemma":0.0004289392,"threshold_uncertainty_score":0.9999562},"labels":[],"label_agreement":null},{"id":"W1577202737","doi":"10.7202/800709ar","title":"Activités tertiaires et hiérarchies urbaines : une évaluation de six méthodes d’analyse","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ministère de l’Immigration, de la Francisation et de l’Intégration","funders":"","keywords":"Weighting; Construct (python library); Econometrics; Valuation (finance); Computer science; Welfare economics; Mathematics; Economics; Finance","score_opus":0.09244979318552257,"score_gpt":0.2815223063795118,"score_spread":0.18907251319398924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577202737","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":[0.94306856,0.00036956253,0.016357196,0.027015045,0.00009850815,0.00018507306,0.00006592365,0.00007989283,0.012760227],"genre_scores_gemma":[0.9879416,0.0005193754,0.005998092,0.0041826107,0.000212867,0.00003729074,0.00006212774,0.000029454839,0.0010165705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979918,0.00011079577,0.0008721586,0.0005932814,0.000027173748,0.0004047984],"domain_scores_gemma":[0.9985388,0.00030618603,0.0004959956,0.0004608871,0.00003852402,0.00015963076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013456125,0.00029277836,0.0007014261,0.0004350277,0.00014493884,0.00023249141,0.0003393608,0.00016740961,0.000231768],"category_scores_gemma":[0.00028073206,0.0003202874,0.00038687495,0.0002709885,0.00007185495,0.0005588741,0.00004794473,0.0001983195,0.00018408785],"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":[0.000059915954,0.00016527226,0.02488391,0.00001262159,0.00021600488,0.000004406013,0.0015346654,0.004298825,0.0005091212,0.9525149,0.00039838528,0.0154020125],"study_design_scores_gemma":[0.0005400465,0.0001373403,0.16811664,0.00001840561,0.00003712238,0.000008956526,0.00012929017,0.03635935,0.0012054065,0.7762325,0.016640758,0.0005741764],"about_ca_topic_score_codex":0.0043484485,"about_ca_topic_score_gemma":0.0014310074,"teacher_disagreement_score":0.17628236,"about_ca_system_score_codex":0.00019942202,"about_ca_system_score_gemma":0.00009551488,"threshold_uncertainty_score":0.9999249},"labels":[],"label_agreement":null},{"id":"W1582956671","doi":"","title":"Dynamique du secteur canadien de la fabrication dans les regions metropolitaines et rurales","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Geography; Art","score_opus":0.029287136702077613,"score_gpt":0.2797682309717221,"score_spread":0.2504810942696445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1582956671","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":[0.72890294,0.0012577549,0.0013608057,0.01376313,0.00052714825,0.00067467237,0.00069854216,0.000042634398,0.25277236],"genre_scores_gemma":[0.82039565,0.16293523,0.0013667168,0.0001877588,0.0005680173,0.0003605421,0.00044814372,0.00014316013,0.013594813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935868,0.0009333101,0.0020002213,0.0018038778,0.0001112351,0.0015645897],"domain_scores_gemma":[0.99498814,0.0017394883,0.0010346397,0.0014591558,0.00024570536,0.00053288706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0056181997,0.0006875652,0.0015167295,0.0017833905,0.00059307273,0.00054569385,0.0014694786,0.0011333005,0.00032795523],"category_scores_gemma":[0.0016321349,0.00093061785,0.00078744657,0.00056811277,0.0012302578,0.000332833,0.00081768713,0.0022104937,0.00006806659],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004834812,0.00030603318,0.402454,0.00010930314,0.00046110514,0.00008040994,0.0013423223,0.07254416,0.000012176018,0.50531954,0.0002497316,0.01707291],"study_design_scores_gemma":[0.0007902073,0.00014786299,0.30455232,0.00022614111,0.00004667367,0.00012399214,0.0029488562,0.30609965,0.000012479667,0.1120382,0.27171427,0.0012993513],"about_ca_topic_score_codex":0.12138146,"about_ca_topic_score_gemma":0.20794003,"teacher_disagreement_score":0.3932813,"about_ca_system_score_codex":0.009085755,"about_ca_system_score_gemma":0.0008681069,"threshold_uncertainty_score":0.9993144},"labels":[],"label_agreement":null},{"id":"W1584577831","doi":"","title":"Dynamics of the Canadian Manufacturing Sector in Metropolitan and Rural Regions","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Urban hierarchy; Metropolitan area; Rural area; Economic geography; Productivity; Wage; Geography; Demographic economics; Manufacturing; Rural economics; Economic growth; Business; Labour economics; Economics; Agriculture; Rural development; Political science; Population; Demography","score_opus":0.03486467341874611,"score_gpt":0.2596101778574721,"score_spread":0.22474550443872598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584577831","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":[0.8858385,0.00042283247,0.0000055775395,0.0054742806,0.00030817982,0.00050518947,0.0004536272,0.000006619781,0.10698516],"genre_scores_gemma":[0.98927647,0.008913683,0.000103807826,0.00008655687,0.00010411471,0.00006766501,0.000059611728,0.000051619452,0.001336463],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99699825,0.00009059087,0.0012491527,0.000781401,0.00006964173,0.00081097416],"domain_scores_gemma":[0.99798435,0.00018817886,0.00050432456,0.001016875,0.000043154396,0.00026310753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014190627,0.00031260977,0.00096347096,0.001727804,0.00021418232,0.00016300203,0.0009017008,0.0004944025,0.00012035124],"category_scores_gemma":[0.00018773829,0.00033374032,0.00032080532,0.00025096067,0.0004677387,0.00010374758,0.00074525527,0.0014271516,0.000007356162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004766757,0.00013229769,0.51131684,0.00019141175,0.00031973585,0.00002772877,0.0004794327,0.019618304,0.0000021505507,0.455645,0.00004786089,0.012171601],"study_design_scores_gemma":[0.0011846463,0.0000716218,0.3501312,0.0003334927,0.00001875764,0.000021200725,0.0020608464,0.13985533,0.000047242156,0.4943182,0.010775272,0.0011821967],"about_ca_topic_score_codex":0.4767248,"about_ca_topic_score_gemma":0.9081087,"teacher_disagreement_score":0.43138388,"about_ca_system_score_codex":0.0059139347,"about_ca_system_score_gemma":0.00046330589,"threshold_uncertainty_score":0.9999115},"labels":[],"label_agreement":null},{"id":"W1584750106","doi":"10.2139/ssrn.1427982","title":"From Labrador City to Toronto: The Industrial Diversity of Canadian Cities, 1992 to 2002","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Diversity (politics); Geography; Economic geography; Regional science; Sociology; Anthropology","score_opus":0.03163703515854799,"score_gpt":0.2030947187329396,"score_spread":0.17145768357439162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584750106","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":[0.97684896,0.0016261538,0.0034982755,0.009500714,0.00044291132,0.00015816576,0.00024289782,0.0000051578363,0.0076767895],"genre_scores_gemma":[0.9958002,0.0010570514,0.0000722148,0.00072360237,0.000714969,0.0000013702703,0.0000062944177,0.000011186763,0.001613101],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997902,0.000016174776,0.00053678086,0.00023847414,0.00006493992,0.0012416469],"domain_scores_gemma":[0.99907446,0.00005726579,0.0002590718,0.00022914032,0.000041627503,0.0003384652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022818488,0.00012877918,0.00034066304,0.00035412764,0.00037016193,0.000055405115,0.00057164,0.000104006,0.0008264632],"category_scores_gemma":[0.00009000108,0.000121416,0.00018955546,0.00037137352,0.0000302811,0.00015364276,0.000121136654,0.0005520219,0.000104448605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023887272,0.00008311268,0.17067935,0.0000016758398,0.0011065094,0.000007989941,0.0030536149,0.0006282942,0.000016095257,0.7802336,0.018049303,0.025901563],"study_design_scores_gemma":[0.0016993847,0.0007028215,0.11449772,0.000022093973,0.000087120985,0.000026554084,0.007582465,0.00029902667,0.00006771511,0.39700258,0.47711268,0.0008998338],"about_ca_topic_score_codex":0.9283174,"about_ca_topic_score_gemma":0.97610813,"teacher_disagreement_score":0.45906338,"about_ca_system_score_codex":0.0021965618,"about_ca_system_score_gemma":0.00053521106,"threshold_uncertainty_score":0.90491927},"labels":[],"label_agreement":null},{"id":"W1585758444","doi":"","title":"Cities and Growth: The Left Brain of North American Cities: Scientists and Engineers and Urban Growth","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Human capital; Census; Attractiveness; Economic geography; Proxy (statistics); Demographic economics; Human resources; Population; Economics; Geography; Economic growth; Sociology; Management","score_opus":0.008408122423320945,"score_gpt":0.17216627518780134,"score_spread":0.16375815276448039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585758444","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":[0.9899854,0.005361768,0.0011255171,0.003070293,0.00004509489,0.00005070735,0.00002389349,0.0000045968573,0.0003327105],"genre_scores_gemma":[0.96698236,0.032167662,0.00004440999,0.00017412238,0.000079853664,0.0000014808127,0.0000025390534,0.000012401844,0.000535167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873585,0.000016166272,0.00037378454,0.00021813836,0.000043590164,0.00061247585],"domain_scores_gemma":[0.9993753,0.00009127661,0.0003184493,0.00009310068,0.000040690644,0.00008121677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000655861,0.00012903582,0.0003469513,0.00024704018,0.00029833044,0.00006401139,0.00014488507,0.000022930886,0.0000067034002],"category_scores_gemma":[0.000071408605,0.00011172944,0.00007798564,0.00017007941,0.0005816574,0.00017151434,0.000045288125,0.00036569842,0.0000016444029],"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":[0.000009990771,0.000009499867,0.6298538,0.00000763842,0.00015948813,0.0000012061773,0.0007300327,0.000012940252,0.0000016290304,0.36850053,0.00014599397,0.00056726456],"study_design_scores_gemma":[0.00060180854,0.00034429453,0.80605465,0.000008044759,0.000026951082,0.00057357724,0.0010284132,0.0022627953,0.000008706482,0.1875205,0.0012529822,0.0003173023],"about_ca_topic_score_codex":0.0012779402,"about_ca_topic_score_gemma":0.0021457511,"teacher_disagreement_score":0.18098003,"about_ca_system_score_codex":0.00010542577,"about_ca_system_score_gemma":0.00012653852,"threshold_uncertainty_score":0.45561942},"labels":[],"label_agreement":null},{"id":"W1586122900","doi":"10.3917/reru.074.0677","title":"La stabilité des modèles de localisation industrielle .","year":2007,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Political science; Humanities; Art","score_opus":0.04182547150419029,"score_gpt":0.2209272992041569,"score_spread":0.17910182769996663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586122900","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":[0.8408317,0.036052216,0.060837798,0.02846899,0.0011142055,0.0004938266,0.0006795767,0.00006740145,0.03145426],"genre_scores_gemma":[0.9245541,0.006467492,0.005834953,0.00086656545,0.001614016,0.000038672966,0.00023042761,0.000105593426,0.060288187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962155,0.000093422845,0.001741264,0.0009405469,0.000055808563,0.00095344096],"domain_scores_gemma":[0.9970592,0.00091821456,0.0008365527,0.00062479026,0.00013008421,0.0004311547],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028569838,0.00046116236,0.0009998189,0.0005417205,0.00028992465,0.00018968657,0.00046081076,0.000742321,0.0014877208],"category_scores_gemma":[0.00040998965,0.0005897043,0.0006321817,0.0005235291,0.00068641716,0.0005398788,0.00014609343,0.00057401333,0.00061792944],"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":[0.000118232994,0.00051352294,0.17049454,0.00023020375,0.00047110108,0.000057089936,0.0010035738,0.020940948,0.00002499395,0.7373848,0.002005006,0.066756025],"study_design_scores_gemma":[0.0011036815,0.00015133069,0.053257987,0.00019039378,0.000098917226,0.000105208695,0.00040367717,0.08394421,0.00014490513,0.12702498,0.7326709,0.00090381975],"about_ca_topic_score_codex":0.0051058307,"about_ca_topic_score_gemma":0.0026928775,"teacher_disagreement_score":0.7306659,"about_ca_system_score_codex":0.0021960798,"about_ca_system_score_gemma":0.00025965951,"threshold_uncertainty_score":0.9996554},"labels":[],"label_agreement":null},{"id":"W1587391297","doi":"10.1111/j.1541-0064.2010.00311.x","title":"La métropolisation à l’aune de la ‘loi’ taille/rang : Le cas Canadien, 1971–2001","year":2010,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Mathematics; Philosophy","score_opus":0.010666561614220785,"score_gpt":0.19306622224990647,"score_spread":0.1823996606356857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587391297","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":[0.8903176,0.013768863,0.00004387422,0.028545208,0.0036037497,0.0004087167,0.0027178403,0.00006705249,0.060527056],"genre_scores_gemma":[0.97072303,0.01767882,0.00063467567,0.0011203671,0.00078851375,0.00012061345,0.00030736518,0.00016738614,0.008459244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942248,0.00021969092,0.0013055265,0.00128816,0.0001142153,0.0028476045],"domain_scores_gemma":[0.9946025,0.000489098,0.00067932135,0.0010711659,0.00022370598,0.0029342135],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0018967362,0.0008434634,0.0012227865,0.0072793188,0.0014522527,0.00075068016,0.0010517457,0.0012219432,0.0014248708],"category_scores_gemma":[0.00045790005,0.0011947533,0.0010983536,0.0044649495,0.0046438132,0.00067172234,0.00008891173,0.0013542537,0.00010838216],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017445689,0.00008685906,0.31849015,0.00010026713,0.00078751205,0.00043407275,0.0024137467,0.0002491251,0.000017483688,0.63028014,0.03562579,0.011497416],"study_design_scores_gemma":[0.00067589653,0.00009952298,0.14032823,0.000059777914,0.00014001149,0.00037852745,0.0048245275,0.0012670197,0.000010216496,0.035735898,0.81516856,0.0013117994],"about_ca_topic_score_codex":0.9943884,"about_ca_topic_score_gemma":0.9997714,"teacher_disagreement_score":0.7795428,"about_ca_system_score_codex":0.0009660683,"about_ca_system_score_gemma":0.0014125674,"threshold_uncertainty_score":0.9998477},"labels":[],"label_agreement":null},{"id":"W1587742323","doi":"10.1111/j.1541-0064.2007.00180.x","title":"La dynamique spatiale des marchés locaux de l'emploi au sein du champ métropolitain de Québec, 1981–2001","year":2007,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Geography; Workforce; Economic geography; Economics; Economic growth","score_opus":0.014672143328839727,"score_gpt":0.19648165415414762,"score_spread":0.18180951082530789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587742323","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":[0.9647604,0.002692138,0.0013280126,0.0046463455,0.00027345133,0.00027417167,0.0005451252,0.000082662315,0.025397647],"genre_scores_gemma":[0.99375504,0.0032834471,0.0007157946,0.0012156602,0.00029227507,0.00006792876,0.00010453265,0.0001006497,0.0004646695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99561274,0.00008319146,0.00094753376,0.0007974999,0.0000699306,0.0024891158],"domain_scores_gemma":[0.9963937,0.00027025843,0.00035287745,0.000628541,0.00012668867,0.002227983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020980935,0.00052659656,0.0007836022,0.0054632123,0.0009300654,0.00021051198,0.0007394897,0.00038342382,0.00027827427],"category_scores_gemma":[0.00027709192,0.0006583669,0.0006819882,0.002784135,0.0021323133,0.00028895956,0.00006912419,0.00038632815,0.000046032746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027825921,0.000036707348,0.7429064,0.000042696553,0.00032441728,0.00018181153,0.001298963,0.00020523538,0.000005573008,0.2499596,0.0018699723,0.00314078],"study_design_scores_gemma":[0.00053135055,0.00018114786,0.6785171,0.00004744547,0.000045372286,0.0001364836,0.0050295135,0.0016612794,0.000012388626,0.13726684,0.17543657,0.0011345149],"about_ca_topic_score_codex":0.997475,"about_ca_topic_score_gemma":0.99989724,"teacher_disagreement_score":0.1735666,"about_ca_system_score_codex":0.002025489,"about_ca_system_score_gemma":0.0011261313,"threshold_uncertainty_score":0.99958676},"labels":[],"label_agreement":null},{"id":"W1588586896","doi":"10.1007/978-3-642-03326-1_1","title":"Progress in Spatial Analysis: Introduction","year":2009,"lang":"en","type":"book-chapter","venue":"Advances in spatial science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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; McMaster University","funders":"","keywords":"Spatial econometrics; Regional science; Geography; Location theory; Spatial analysis; Economic geography; Data science; Econometrics; Computer science; Economics","score_opus":0.012881382065098366,"score_gpt":0.23578402267726561,"score_spread":0.22290264061216725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588586896","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007235511,0.04483714,0.017900763,0.00816631,0.0034806228,0.0014174259,0.00028627712,0.000109802284,0.91656613],"genre_scores_gemma":[0.97421926,0.0071721347,0.0007903547,0.00016557101,0.0010222899,0.000034710643,0.000085758424,0.000033779306,0.01647611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996429,0.000009561266,0.0013488479,0.0014963453,0.0001855177,0.0005306753],"domain_scores_gemma":[0.99817055,0.00003076203,0.00097460445,0.00061801606,0.00007610379,0.00012997718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001085231,0.00037592865,0.0011351734,0.0026170057,0.00012736318,0.0001495949,0.00081766007,0.00022255351,0.0005868364],"category_scores_gemma":[0.000065976135,0.00043253336,0.00030190352,0.0010246261,0.00070929684,0.0008869977,0.0001302822,0.0004182735,0.0001824398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047534522,0.000089855595,0.050047513,0.000021758682,0.000052266532,0.000022967946,0.00012679189,0.011436258,0.0000010421055,0.7111661,0.000025113573,0.22696282],"study_design_scores_gemma":[0.0007661764,0.00026671885,0.077618726,0.00008838262,0.000116718395,0.0000040934597,0.000017745806,0.042489894,0.000015760108,0.5681607,0.30881256,0.0016425402],"about_ca_topic_score_codex":0.0027037573,"about_ca_topic_score_gemma":0.032676656,"teacher_disagreement_score":0.9669838,"about_ca_system_score_codex":0.0006471139,"about_ca_system_score_gemma":0.00010203539,"threshold_uncertainty_score":0.99981266},"labels":[],"label_agreement":null},{"id":"W1594250290","doi":"10.1111/ecge.12056","title":"On the Relationship between Innovation and Wage Inequality: New Evidence from<scp>C</scp>anadian Cities","year":2014,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inequality; Earnings; Census; Economics; Government (linguistics); Population; Sustainability; Distribution (mathematics); Demographic economics; Sociology; Demography","score_opus":0.07932467538075046,"score_gpt":0.2315299138156813,"score_spread":0.15220523843493083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594250290","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":[0.9837597,0.0005320023,0.0017038785,0.0063356627,0.00019310438,0.00015149116,0.0001578673,0.000026388443,0.0071399054],"genre_scores_gemma":[0.9975342,0.00012219307,0.00018780172,0.0011305969,0.00040610362,0.00001975907,0.000066124456,0.000021945507,0.0005112663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982946,0.00004950391,0.000826742,0.0005347295,0.000029481731,0.0002649411],"domain_scores_gemma":[0.9954285,0.0033729975,0.0005622709,0.00049443915,0.00001854214,0.00012325947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011492397,0.00020841321,0.0004428492,0.0006864975,0.00027697376,0.00027154293,0.0003184711,0.00013040625,0.00017570381],"category_scores_gemma":[0.0010787736,0.00020722483,0.00016212139,0.0003124728,0.00012567219,0.000335674,0.000062546496,0.00021489021,0.00067741494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011276027,0.0000027749054,0.5431957,0.0000021693802,0.00005337667,6.691539e-8,0.00014255712,0.00011303432,2.6878055e-7,0.4544518,0.0016895268,0.00034756213],"study_design_scores_gemma":[0.00012491028,0.000029487608,0.5581864,0.00001477225,0.000009831636,1.269227e-7,0.000047233883,0.00090209313,0.0000034668262,0.43294168,0.007659261,0.00008070644],"about_ca_topic_score_codex":0.012988958,"about_ca_topic_score_gemma":0.0010888857,"teacher_disagreement_score":0.021510111,"about_ca_system_score_codex":0.00006906365,"about_ca_system_score_gemma":0.000030270845,"threshold_uncertainty_score":0.9935836},"labels":[],"label_agreement":null},{"id":"W1594884919","doi":"10.2139/ssrn.2010646","title":"Workforce Skills across the Urban-Rural Hierarchy","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Workforce; Hierarchy; Urban hierarchy; Geography; Environmental planning; Business; Economic growth; Political science; Medicine; Economics; Environmental health","score_opus":0.013341882022088119,"score_gpt":0.2281454505798915,"score_spread":0.2148035685578034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594884919","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":[0.9407236,0.031905822,0.011024226,0.0069226874,0.0007911479,0.00013435613,0.000026094198,0.000022322423,0.008449763],"genre_scores_gemma":[0.9802859,0.009009296,0.000037234855,0.00052547007,0.0012886468,0.000008768336,0.000006223227,0.00002752441,0.00881095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964652,0.000028232298,0.00059450994,0.00017494998,0.000055795488,0.0026813326],"domain_scores_gemma":[0.999045,0.00006493499,0.0004330089,0.00027935117,0.000029935125,0.00014774091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028760312,0.00017762209,0.0003374869,0.00009733005,0.00052365765,0.000165977,0.0005053885,0.0000871558,0.00013808411],"category_scores_gemma":[0.00005834915,0.00013959993,0.0003793848,0.00023923429,0.0000933565,0.0004388121,0.000068556,0.0011807202,0.0006715692],"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":[0.000011306724,0.00006166871,0.09251501,9.498342e-7,0.000207146,3.0792847e-7,0.00055039325,0.000109608365,0.0000020099128,0.89970183,0.0004613998,0.006378392],"study_design_scores_gemma":[0.0006276743,0.00010353117,0.021800676,0.000008232073,0.000023461247,0.00020561868,0.0016446332,0.0007552503,0.00000975202,0.7726782,0.20171298,0.0004299914],"about_ca_topic_score_codex":0.00030497383,"about_ca_topic_score_gemma":0.00034225517,"teacher_disagreement_score":0.20125158,"about_ca_system_score_codex":0.0006836291,"about_ca_system_score_gemma":0.00014276856,"threshold_uncertainty_score":0.86318874},"labels":[],"label_agreement":null},{"id":"W1597944406","doi":"","title":"What do innovation networks really do for local development","year":2011,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Centrality; Romer; Economic geography; Spillover effect; Space (punctuation); Differential (mechanical device); Core (optical fiber); Regional science; Local economic development; Macro; Economics; Economic system; Business; Geography; Economic growth; Engineering; Microeconomics; Computer science","score_opus":0.03667950216330754,"score_gpt":0.22511301523094768,"score_spread":0.18843351306764014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597944406","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":[0.69306093,0.019243939,0.23870538,0.0012168437,0.015265103,0.002047537,0.00050927006,0.0001969144,0.029754072],"genre_scores_gemma":[0.9772445,0.005997329,0.009392282,0.0010232715,0.0011485505,0.0008677905,0.001040693,0.00019280266,0.0030927593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99406195,0.000034943663,0.0031009675,0.0018932058,0.000083736915,0.00082522706],"domain_scores_gemma":[0.99538416,0.00017596134,0.002677239,0.0011753137,0.00033298606,0.0002543384],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017673975,0.0008234947,0.0018678004,0.0013077382,0.00036905846,0.00080269884,0.0009883906,0.001068416,0.00164874],"category_scores_gemma":[0.00011009698,0.0010258214,0.0007308834,0.00038117744,0.0003547245,0.0006635105,0.00059455755,0.0008095533,0.0007043243],"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":[0.00014732881,0.0003155192,0.26274484,0.0002456556,0.0017687129,0.0000106644275,0.0009307319,0.01291872,0.000001155397,0.6922921,0.011300411,0.017324178],"study_design_scores_gemma":[0.0033768837,0.0003027093,0.05920102,0.0010463687,0.00026238975,0.000044792843,0.00075895654,0.10767046,0.00007006876,0.369869,0.45145565,0.0059417007],"about_ca_topic_score_codex":0.00042393332,"about_ca_topic_score_gemma":0.00045551703,"teacher_disagreement_score":0.44015524,"about_ca_system_score_codex":0.0011006714,"about_ca_system_score_gemma":0.0006046092,"threshold_uncertainty_score":0.9992639},"labels":[],"label_agreement":null},{"id":"W1599144317","doi":"","title":"A Tale of Three Cities: The Dynamics of Manufacturing in Toronto, Montreal and Vancouver, 1976-1997","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Restructuring; Manufacturing; Manufacturing sector; Wage; Clothing; Economic geography; Economy; Business; Geography; Demographic economics; Economics; Labour economics; Finance; Marketing","score_opus":0.025309119326739068,"score_gpt":0.25531112711690274,"score_spread":0.23000200779016367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599144317","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":[0.8797958,0.0019160174,0.000049686598,0.00029966194,0.00030870736,0.00056194665,0.00067775196,0.000007236768,0.11638319],"genre_scores_gemma":[0.9582112,0.04022684,0.00019099268,0.000026110109,0.000087863686,0.00009577598,0.000063772,0.00004698537,0.0010504489],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966949,0.000060877304,0.0017280371,0.000858933,0.00008475167,0.0005724818],"domain_scores_gemma":[0.99753433,0.00044366295,0.0008957609,0.0009680901,0.000050698625,0.00010745251],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018721528,0.00032848137,0.0013157543,0.0005727851,0.00008138709,0.000072305396,0.0008329064,0.00039752902,0.0002027097],"category_scores_gemma":[0.00012732553,0.0003415548,0.00032765977,0.000111435074,0.0004917744,0.00016586162,0.0009419457,0.00080152444,0.0000018367689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057850796,0.0008295486,0.43977118,0.0012523206,0.0013746814,0.000054712888,0.0027742733,0.12000583,0.000005181654,0.12285665,0.0002483979,0.31024873],"study_design_scores_gemma":[0.0021474066,0.0002445539,0.16417627,0.0004168994,0.000031356358,0.000008594919,0.0045438167,0.5649337,0.00006626115,0.25630412,0.005967336,0.0011596588],"about_ca_topic_score_codex":0.0854471,"about_ca_topic_score_gemma":0.6460554,"teacher_disagreement_score":0.56060827,"about_ca_system_score_codex":0.0016427111,"about_ca_system_score_gemma":0.00015107809,"threshold_uncertainty_score":0.9999036},"labels":[],"label_agreement":null},{"id":"W159970496","doi":"10.1080/13673882.2010.9638804","title":"ARGENTINA: REGIONAL DEVELOPMENT AND EVOLUTION OF DISPARITIES","year":2010,"lang":"en","type":"article","venue":"Regions Magazine","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Economic geography; Geography; Regional science","score_opus":0.02486658432895321,"score_gpt":0.20295111496713028,"score_spread":0.17808453063817709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W159970496","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":[0.9774737,0.0012032225,0.0068087606,0.004247394,0.00019007055,0.000089469344,0.000025622148,0.000019138915,0.009942658],"genre_scores_gemma":[0.9934651,0.00022667141,0.0034672716,0.00006194182,0.00007182832,0.000013140501,0.000021217227,0.000011415676,0.0026614014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990935,0.0000040861187,0.00046433168,0.00025350598,0.000029536237,0.0001550502],"domain_scores_gemma":[0.99938154,0.000026960955,0.00026488153,0.00020920948,0.000041705676,0.00007568944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021582845,0.00010478177,0.00028976283,0.0002366032,0.000099342506,0.000023201117,0.00011575241,0.00007141361,0.000091949674],"category_scores_gemma":[0.000037289614,0.000115482915,0.000088614746,0.00014724153,0.0001470712,0.00011499865,0.00005118487,0.00010931592,0.00012847906],"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":[0.000006232748,0.000051709187,0.06971601,0.000015601487,0.000044950433,6.994721e-7,0.00005260669,0.000010727666,0.00016236577,0.92823845,0.0013618084,0.00033881847],"study_design_scores_gemma":[0.000411272,0.000028820521,0.44921696,0.000013865052,0.000012907847,0.00001871011,0.00003135845,0.0027876964,0.00010385277,0.14805296,0.39903027,0.00029130492],"about_ca_topic_score_codex":0.00027363456,"about_ca_topic_score_gemma":0.00058930495,"teacher_disagreement_score":0.7801855,"about_ca_system_score_codex":0.000035207304,"about_ca_system_score_gemma":0.000031919506,"threshold_uncertainty_score":0.47092566},"labels":[],"label_agreement":null},{"id":"W1601839985","doi":"","title":"Do Only Big Cities Innovate? Technological Maturity and the Location of Innovation","year":2005,"lang":"en","type":"article","venue":"Econometric Reviews","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Productivity; Maturity (psychological); Disadvantage; Economic geography; Technological change; Section (typography); Technical change; Business; Economics; Industrial organization; Economic growth; Political science","score_opus":0.06352569059663055,"score_gpt":0.24289210135566527,"score_spread":0.17936641075903473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601839985","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":[0.73312217,0.20024794,0.008927255,0.017206099,0.00030116786,0.0011933293,0.000060202932,0.000044504108,0.03889735],"genre_scores_gemma":[0.967524,0.030344957,0.0009301853,0.0004981559,0.00013074424,0.000054554977,0.00001673186,0.000010069155,0.00049061707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997555,0.00003514712,0.0018575531,0.0003584364,0.000028011615,0.00016582575],"domain_scores_gemma":[0.9979292,0.00012989673,0.0013785359,0.00041333598,0.00012189164,0.000027139638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032383895,0.00016167102,0.0008673239,0.0013089654,0.00009333313,0.00008604014,0.0002907249,0.00011634162,0.00020388012],"category_scores_gemma":[0.0011731426,0.00012225867,0.00011254334,0.004437161,0.0003262514,0.00020567176,0.00009097489,0.00016404498,0.0002296403],"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":[0.000009753731,0.000031275675,0.011557272,0.000048895756,0.000039027917,6.117354e-8,0.000043955853,0.000037219874,7.7279105e-7,0.8547607,0.00041329773,0.13305779],"study_design_scores_gemma":[0.0010763913,0.00004910835,0.032340653,0.00004188973,0.000022765482,0.000008912865,0.000058339458,0.003544909,0.00003018871,0.14485833,0.8176219,0.00034662624],"about_ca_topic_score_codex":0.00012689132,"about_ca_topic_score_gemma":0.000031246247,"teacher_disagreement_score":0.8172086,"about_ca_system_score_codex":0.00008328375,"about_ca_system_score_gemma":0.000025193793,"threshold_uncertainty_score":0.4985564},"labels":[],"label_agreement":null},{"id":"W1606678236","doi":"10.1016/s1574-0080(04)80006-3","title":"Chapter 49 Evidence on the nature and sources of agglomeration economies","year":2004,"lang":"en","type":"book-chapter","venue":"Handbook of regional and urban economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2233,"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":"Economies of agglomeration; Microfoundations; Externality; Economies of scale; Economics; Pooling; Scope (computer science); Empirical evidence; Economic geography; Returns to scale; Economies of scope; Economy; Microeconomics; Macroeconomics; Production (economics)","score_opus":0.03716660036137957,"score_gpt":0.1907077222248045,"score_spread":0.15354112186342495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606678236","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":[0.4175261,0.2372561,0.00019863492,0.025191216,0.000728134,0.0014579033,0.0014339592,0.000041963634,0.31616598],"genre_scores_gemma":[0.7830155,0.16831884,0.00024050352,0.0016495719,0.0004747109,0.000022734992,0.000058872185,0.00009589323,0.046123408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998146,0.000006079998,0.0010139354,0.00061796646,0.00003879053,0.00017724476],"domain_scores_gemma":[0.99768263,0.00028859073,0.0014777313,0.00039669967,0.000058269972,0.00009610368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032868554,0.00038589124,0.000999556,0.00032384877,0.00013979539,0.00007077081,0.0002656079,0.00041702855,0.0003042356],"category_scores_gemma":[0.000027539107,0.00034763472,0.00034374805,0.000017134545,0.00061284297,0.000200865,0.00010467791,0.00034351207,0.000045489644],"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":[0.00007184948,0.000013157841,0.0014004022,0.00006586607,0.00029709676,8.479702e-7,0.00016263739,0.00016181538,0.0000031813786,0.9968129,0.0004106498,0.00059964],"study_design_scores_gemma":[0.00058712944,0.00035367196,0.0013623623,0.0010599236,0.000098717086,0.00001991323,0.000042585474,0.0008616894,0.00022048074,0.8338419,0.16081361,0.0007379916],"about_ca_topic_score_codex":0.00013261288,"about_ca_topic_score_gemma":0.00008635243,"teacher_disagreement_score":0.36548936,"about_ca_system_score_codex":0.00008624187,"about_ca_system_score_gemma":0.000055336553,"threshold_uncertainty_score":0.99989754},"labels":[],"label_agreement":null},{"id":"W1607536048","doi":"10.7202/038781ar","title":"Territoires émergents et cohérence dans l’espace Québec","year":2009,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.009296031575362391,"score_gpt":0.19482559042959996,"score_spread":0.18552955885423758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607536048","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":[0.7428595,0.034406293,0.009430863,0.19061668,0.0013579008,0.00029581142,0.00028269083,0.00009079096,0.0206595],"genre_scores_gemma":[0.90702075,0.01799494,0.00072897546,0.006982768,0.000363441,0.000031648695,0.00006837171,0.000065198874,0.06674392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967318,0.00010209891,0.0011374613,0.0009955453,0.00009761437,0.00093548384],"domain_scores_gemma":[0.9977248,0.00019103623,0.0007400253,0.0007503557,0.000082984865,0.0005108415],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00073856435,0.0005492351,0.0009906247,0.0009368185,0.0004943298,0.00027304265,0.0008056007,0.0005451457,0.000589219],"category_scores_gemma":[0.00026512172,0.0007238963,0.0010332961,0.0011350053,0.0027203728,0.0004805551,0.00006340584,0.00069921376,0.0005488536],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000966204,0.000599849,0.27487248,0.000053058924,0.00073746336,0.000095658026,0.005557183,0.002637712,0.00006222472,0.64039445,0.059993107,0.0149002],"study_design_scores_gemma":[0.00075685646,0.00027817712,0.19787839,0.000081829545,0.00013708945,0.00004297988,0.0003781577,0.0063148327,0.000031318294,0.020669768,0.7724299,0.0010006939],"about_ca_topic_score_codex":0.583302,"about_ca_topic_score_gemma":0.72765815,"teacher_disagreement_score":0.7124368,"about_ca_system_score_codex":0.0014542177,"about_ca_system_score_gemma":0.0008160593,"threshold_uncertainty_score":0.9999936},"labels":[],"label_agreement":null},{"id":"W1639352450","doi":"10.1016/j.jeca.2010.01.009","title":"Jane Jacobs, Economies and Economics","year":2010,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economies of agglomeration; Economics; Mainstream; Work (physics); Mainstream economics; Function (biology); Urban economics; Economy; Neoclassical economics; Sociology; Applied economics; Economic growth; Microeconomics; Political science","score_opus":0.01669993985429933,"score_gpt":0.2032046132854823,"score_spread":0.186504673431183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1639352450","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":[0.9744569,0.0023339505,0.0003322961,0.0073668365,0.0014252792,0.000102060534,0.00007488438,0.000008895067,0.013898894],"genre_scores_gemma":[0.9926763,0.004784113,0.00070470205,0.00039067262,0.00068426825,0.0000025272764,0.000003025585,0.000032045788,0.0007222998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997921,0.000023109129,0.0014927363,0.00024917768,0.000020239868,0.00029375902],"domain_scores_gemma":[0.99720657,0.00044069372,0.0017132699,0.00041495526,0.000047044174,0.00017746139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021184913,0.00024193536,0.0008324127,0.00050116,0.0002241144,0.0002085899,0.0006290255,0.00013577307,0.00045415078],"category_scores_gemma":[0.00016166443,0.00020680053,0.00028516984,0.00009207522,0.00040821027,0.0006488784,0.0001347769,0.00045323206,0.0002757556],"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":[0.00010317632,0.000039679166,0.034945186,0.000010247669,0.00049068464,0.0000019826798,0.0004056753,0.001002807,0.000039520033,0.9569981,0.0022851191,0.0036778273],"study_design_scores_gemma":[0.0018644098,0.00037426263,0.034962773,0.0000139940375,0.00014525118,0.00047775634,0.00085356913,0.008599098,0.00075399195,0.54019356,0.41088903,0.0008723073],"about_ca_topic_score_codex":0.000519028,"about_ca_topic_score_gemma":0.0008786705,"teacher_disagreement_score":0.41680452,"about_ca_system_score_codex":0.0001050932,"about_ca_system_score_gemma":0.00008521072,"threshold_uncertainty_score":0.8433081},"labels":[],"label_agreement":null},{"id":"W1704203702","doi":"10.1111/j.1468-2427.2011.01090.x","title":"Options for Moving beyond the Canonical Model of Regional Path Dependence","year":2011,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Path dependence; Context (archaeology); Sociology; Contingency; Mathematical economics; Welfare economics; Epistemology; Humanities; Positive economics; Geography; Mathematics; Economics; Neoclassical economics; Philosophy","score_opus":0.24072390918155703,"score_gpt":0.3322890097418474,"score_spread":0.09156510056029035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1704203702","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":[0.8035515,0.02021937,0.056335073,0.092903696,0.0013440527,0.0008015943,0.0007254543,0.000014308341,0.024104977],"genre_scores_gemma":[0.9928165,0.0023910378,0.0032260574,0.00030255938,0.00032589672,0.000012204274,0.000007667866,0.000012853011,0.00090519106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984811,0.000036929378,0.0007837521,0.00020942188,0.0002821889,0.00020661659],"domain_scores_gemma":[0.9979311,0.00037990572,0.0005322906,0.00014863559,0.0008860361,0.00012203045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020863642,0.0000970127,0.00028496358,0.0004426913,0.00014810031,0.00005547048,0.00073499815,0.00007959743,0.00007000678],"category_scores_gemma":[0.0002184467,0.00007511436,0.00029314944,0.00012266726,0.00040468294,0.00022542414,0.00011170687,0.00030187587,0.0000058123105],"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":[0.00024157652,0.00012948268,0.004108208,0.000007635941,0.00028592144,0.0000054036864,0.00052159454,0.0008558606,0.0000906516,0.9865547,0.00673158,0.00046741523],"study_design_scores_gemma":[0.0011376198,0.000319743,0.008307559,0.000071602815,0.000023266637,0.000107590065,0.00043637466,0.12424513,0.00008116572,0.834894,0.030163018,0.00021292316],"about_ca_topic_score_codex":0.00046013788,"about_ca_topic_score_gemma":0.00008353842,"teacher_disagreement_score":0.18926506,"about_ca_system_score_codex":0.00010268154,"about_ca_system_score_gemma":0.00022460436,"threshold_uncertainty_score":0.30630746},"labels":[],"label_agreement":null},{"id":"W1717464496","doi":"10.7202/017620ar","title":"Le problème d’attraction-répulsion au coeur de la convergence possible de l’approche topodynamique et de la nouvelle économie géographique","year":2008,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Sociology; Philosophy","score_opus":0.009511996255390695,"score_gpt":0.20482051468003598,"score_spread":0.19530851842464528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1717464496","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":[0.9071145,0.0041127927,0.041529704,0.01794296,0.0004211323,0.0003608959,0.00011576469,0.000087271554,0.028314957],"genre_scores_gemma":[0.93880486,0.03598505,0.0048517305,0.002395127,0.00030956147,0.00017766962,0.00005274853,0.000114818205,0.017308436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961183,0.00056031113,0.0011058298,0.0009675808,0.000071941235,0.001176058],"domain_scores_gemma":[0.9966468,0.0011615511,0.0008245368,0.0006017477,0.000109352804,0.0006560036],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0030183648,0.0005572325,0.0009293642,0.0010852752,0.0009815881,0.0002523644,0.00067762745,0.0013241975,0.00018617659],"category_scores_gemma":[0.00050150906,0.0007690544,0.0010757644,0.0011684657,0.0067609795,0.0005422112,0.000098941564,0.0013631372,0.00009347152],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010828519,0.00065631175,0.38716498,0.00012332882,0.0005639985,0.00014375191,0.0039763846,0.008143867,0.00020272238,0.59192604,0.0056021544,0.0013882136],"study_design_scores_gemma":[0.0026153298,0.0003519244,0.34984586,0.00017474359,0.0002522393,0.001423872,0.0013448336,0.049144648,0.00051987177,0.13529028,0.45678052,0.002255881],"about_ca_topic_score_codex":0.28172344,"about_ca_topic_score_gemma":0.075615175,"teacher_disagreement_score":0.45663574,"about_ca_system_score_codex":0.002491056,"about_ca_system_score_gemma":0.005271854,"threshold_uncertainty_score":0.9999723},"labels":[],"label_agreement":null},{"id":"W1722563148","doi":"10.1111/roie.12185","title":"The Distributional and Allocative Impacts of Virtual Labor Mobility across Time Zones through Communication Networks","year":2015,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"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":"Japan Society for the Promotion of Science","keywords":"Economics; Labour economics; Wage; Allocative efficiency; Work (physics); Renting; Capital (architecture); Labor mobility","score_opus":0.026152800995300127,"score_gpt":0.27503896730268534,"score_spread":0.24888616630738522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1722563148","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":[0.63300854,0.3259901,0.005190713,0.023448335,0.00059871183,0.00070235296,0.0036432021,0.00001839366,0.007399631],"genre_scores_gemma":[0.6455602,0.3530567,0.0004798196,0.00039278407,0.00006263422,0.00002141045,0.00027418553,0.0000100964,0.00014219635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984887,0.000032743472,0.0010887632,0.00021907332,0.000036751844,0.00013395418],"domain_scores_gemma":[0.9979152,0.00025913015,0.0011421203,0.00034279274,0.00027490596,0.00006586325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014345375,0.00012374356,0.0005036185,0.000027108921,0.00007975186,0.000041424566,0.00044150112,0.0000576515,0.00005481846],"category_scores_gemma":[0.00041498954,0.00011070849,0.0001699028,0.00008565744,0.0002980556,0.00028978268,0.00018640031,0.00009236798,0.00002951446],"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":[0.0000440627,0.00009034805,0.012565374,0.00008451281,0.00033053552,8.593749e-8,0.00015615029,0.0015579702,8.2196414e-7,0.9826249,0.001107983,0.0014372423],"study_design_scores_gemma":[0.0021597415,0.0003664816,0.07121903,0.0015148615,0.000089744164,0.000022376116,0.0006195132,0.28277767,0.000083524246,0.26902425,0.3712015,0.0009213202],"about_ca_topic_score_codex":0.00054072903,"about_ca_topic_score_gemma":0.000118761665,"teacher_disagreement_score":0.71360064,"about_ca_system_score_codex":0.0001675867,"about_ca_system_score_gemma":0.000058627535,"threshold_uncertainty_score":0.45145613},"labels":[],"label_agreement":null},{"id":"W1728964850","doi":"","title":"INTEGRATED DIS-INTEGRATION: EMPLOYMENT STRUCTURE OF FIRST NATIONS COMMUNITIES ON THE PRAIRIES RELATIVE TO THEIR LOCAL REGIONS","year":2004,"lang":"en","type":"article","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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; Economic geography","score_opus":0.058422681789395234,"score_gpt":0.230366727047933,"score_spread":0.1719440452585378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1728964850","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":[0.87739635,0.0001146972,0.045256574,0.06505325,0.000120077784,0.00068434427,0.0012421123,0.000018857832,0.010113731],"genre_scores_gemma":[0.99687845,0.00013708486,0.0015043837,0.00043493445,0.000016431693,0.0000026091639,0.00012233165,0.000015418249,0.0008883615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989419,0.00008951492,0.00040390334,0.00029468708,0.00008308257,0.00018691148],"domain_scores_gemma":[0.9982111,0.00036626664,0.0005198149,0.000595272,0.0002112179,0.00009635564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045526822,0.00020047218,0.0005149836,0.00037543164,0.00093325577,0.0001231916,0.0012339648,0.00012486365,0.0002623009],"category_scores_gemma":[0.00016017513,0.00018581732,0.00022858733,0.0006489833,0.0004433442,0.0007583934,0.0003053179,0.00045078102,0.000061575134],"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":[0.00009756454,0.00011584859,0.005485346,0.000010721573,0.00024510597,0.0000017986238,0.006665681,0.003971728,0.000028438799,0.98253596,0.00053413,0.00030765813],"study_design_scores_gemma":[0.0044900314,0.0016334794,0.20485622,0.0014862894,0.0002140929,0.00001620374,0.101164736,0.0035789504,0.003402991,0.4974288,0.1798017,0.001926508],"about_ca_topic_score_codex":0.022675412,"about_ca_topic_score_gemma":0.07849649,"teacher_disagreement_score":0.48510715,"about_ca_system_score_codex":0.00028270655,"about_ca_system_score_gemma":0.0000867964,"threshold_uncertainty_score":0.98383266},"labels":[],"label_agreement":null},{"id":"W1748154095","doi":"10.3968/j.ccc.1923670020141001.4296","title":"Theoretical Foundation and Disciplinary Construction of Chinese Historical Financial Geography: A Case Study of Financial Geography in Sichuan- Chongqing Region During the Late Qing and the Republic of China Era","year":2014,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Vitality; Geography of finance; Strategic geography; Historical geography; Agricultural geography; Geography; Scope (computer science); Discipline; Economic geography; Regional science; Human geography; Economy; Political science; Finance; Social science; Economics; Financial market; Sociology","score_opus":0.012515836900370489,"score_gpt":0.24832573349564355,"score_spread":0.23580989659527307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1748154095","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":[0.9978873,0.00069311546,0.000107173764,0.0007822785,0.000056009743,0.00027983022,0.000005145091,0.000006009603,0.00018313958],"genre_scores_gemma":[0.9992579,0.00053743256,0.000116136995,0.000009553263,0.000030143781,0.000026096468,0.000010705611,0.000006714738,0.0000052868836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986275,0.00013069702,0.0008624909,0.00021488719,0.00004926865,0.000115148076],"domain_scores_gemma":[0.9983707,0.00020127304,0.0008428042,0.00045024237,0.00010889743,0.000026051892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009967061,0.00013039727,0.00045678642,0.00019896914,0.0004414464,0.00008746838,0.00023019048,0.000077307464,0.0000043884443],"category_scores_gemma":[0.00037637813,0.000088506546,0.00013575243,0.00038086847,0.001157762,0.00037824223,0.00020154382,0.00022697999,1.4311601e-7],"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":[0.00018459646,0.00010500227,0.7501292,0.000039587456,0.000029871806,8.690992e-7,0.0037501613,0.00034078636,0.000018926621,0.24296048,5.549706e-7,0.002439914],"study_design_scores_gemma":[0.0014066768,0.00009166079,0.90375495,0.0000236673,0.000018816983,0.000037856644,0.00033721817,0.013242145,0.0000050298463,0.08095785,0.00002108613,0.000103015336],"about_ca_topic_score_codex":0.00506888,"about_ca_topic_score_gemma":0.0007734251,"teacher_disagreement_score":0.16200262,"about_ca_system_score_codex":0.00005069068,"about_ca_system_score_gemma":0.000009643673,"threshold_uncertainty_score":0.7662664},"labels":[],"label_agreement":null},{"id":"W1751500529","doi":"10.4000/norois.1834","title":"La qualité de vie des villes du savoir","year":2006,"lang":"fr","type":"article","venue":"Norois","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02786723354560912,"score_gpt":0.21352329871593848,"score_spread":0.18565606517032934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1751500529","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":[0.8433519,0.028507061,0.0050492333,0.0133855445,0.00049383944,0.0000859715,0.00032279908,0.000026214855,0.10877742],"genre_scores_gemma":[0.9733157,0.008672275,0.0018731437,0.0005153949,0.00082874694,0.000017172491,0.000047226462,0.000044580403,0.0146857435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980963,0.00006755918,0.00081591704,0.0004775946,0.000037214253,0.00050545513],"domain_scores_gemma":[0.99888325,0.0002448928,0.00038512587,0.00032872797,0.000036945257,0.00012106995],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008471292,0.00024701576,0.0005871063,0.00021822979,0.00023231421,0.00021365237,0.00029152966,0.0002877542,0.0013640937],"category_scores_gemma":[0.00008867928,0.00032453393,0.0004590419,0.00024960827,0.0003418795,0.00024263613,0.00007703303,0.00019228857,0.0012355193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015203416,0.00022912821,0.2773357,0.000064282925,0.0001493036,0.000024838551,0.0003990492,0.002829619,0.000008732,0.694051,0.006984774,0.017908309],"study_design_scores_gemma":[0.00036649717,0.000049177757,0.10828973,0.000035995028,0.00003661781,0.000025000516,0.00009744396,0.011191084,0.000029372644,0.17982948,0.69965696,0.00039266227],"about_ca_topic_score_codex":0.048651464,"about_ca_topic_score_gemma":0.022312047,"teacher_disagreement_score":0.6926722,"about_ca_system_score_codex":0.00051737827,"about_ca_system_score_gemma":0.00007089965,"threshold_uncertainty_score":0.99992067},"labels":[],"label_agreement":null},{"id":"W175619523","doi":"10.4000/articulo.791","title":"Paul Krugman : (presque) un Nobel de géographie","year":2010,"lang":"fr","type":"article","venue":"Articulo – revue de sciences humaines","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASTER","funders":"","keywords":"Economics; Humanities; Philosophy","score_opus":0.020996252204527617,"score_gpt":0.22094611457740093,"score_spread":0.19994986237287332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W175619523","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":[0.92849827,0.0034332932,0.001720293,0.049249616,0.0020571605,0.00016730887,0.00007695975,0.000036198802,0.01476091],"genre_scores_gemma":[0.98229456,0.0020338895,0.0076697012,0.0010567313,0.001077954,0.000034604207,0.000010016797,0.000028815317,0.005793737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99715286,0.000048843056,0.00087450095,0.0008407058,0.00007335348,0.0010097552],"domain_scores_gemma":[0.99835056,0.00018641923,0.0005174108,0.0005258609,0.00007578401,0.00034395567],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002121567,0.0002976311,0.0005706418,0.0005085852,0.0009167275,0.0005106628,0.00084407476,0.00025135092,0.0014617359],"category_scores_gemma":[0.0003071518,0.00034775253,0.00047509873,0.0010883514,0.0019818936,0.00055947236,0.00015368372,0.00039133074,0.00052804203],"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":[0.0000066311472,0.00016427768,0.15276939,0.00005261779,0.0001084362,0.000028365876,0.0006979526,0.002420989,0.0005954043,0.83509123,0.0020277684,0.006036958],"study_design_scores_gemma":[0.00054360676,0.00018607506,0.1406872,0.000082755934,0.0000980406,0.00014119038,0.00027816836,0.16989526,0.0003761418,0.4326911,0.25401244,0.0010080121],"about_ca_topic_score_codex":0.0031232722,"about_ca_topic_score_gemma":0.0074037355,"teacher_disagreement_score":0.4024001,"about_ca_system_score_codex":0.00012397594,"about_ca_system_score_gemma":0.00014438538,"threshold_uncertainty_score":0.9998974},"labels":[],"label_agreement":null},{"id":"W1765732481","doi":"10.2139/ssrn.1092493","title":"Entrepreneurship and Urban Success: Toward a Policy Consensus","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":61,"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":"Entrepreneurship; Washington Consensus; Political science; Law; Politics","score_opus":0.024849407896306644,"score_gpt":0.2136868664426127,"score_spread":0.18883745854630607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1765732481","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":[0.9706869,0.010815505,0.0012214447,0.011540813,0.000108512606,0.00006776114,0.000017579678,0.000018048682,0.0055234507],"genre_scores_gemma":[0.9739007,0.022716975,0.000050024937,0.0003112274,0.00045470253,0.0000033031681,0.0000035088185,0.000019997762,0.002539583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997841,0.000021370994,0.00053261186,0.00031726985,0.000039826587,0.0012479443],"domain_scores_gemma":[0.9992523,0.000043265023,0.00035401704,0.00016591977,0.00003399513,0.00015050944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007025181,0.00016005953,0.0003884432,0.00036595904,0.00025593486,0.0000705126,0.00021421806,0.00007817368,0.00006487432],"category_scores_gemma":[0.000104752144,0.00017016656,0.00018972282,0.00020416043,0.00012063299,0.00011605399,0.000042298623,0.00064535695,0.00011278674],"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":[0.000021247512,0.000030039117,0.21617855,0.0000025403513,0.0001742621,0.000008911673,0.00020885651,0.000037698028,0.0000041349335,0.7824335,0.00019835707,0.00070190383],"study_design_scores_gemma":[0.00096308993,0.00019279274,0.027682107,0.0000057523002,0.000017725486,0.0015001114,0.00022410085,0.0010243987,0.000012276508,0.95294994,0.01505575,0.0003719699],"about_ca_topic_score_codex":0.001761062,"about_ca_topic_score_gemma":0.00044802463,"teacher_disagreement_score":0.18849644,"about_ca_system_score_codex":0.00048305528,"about_ca_system_score_gemma":0.0005918689,"threshold_uncertainty_score":0.69391906},"labels":[],"label_agreement":null},{"id":"W1786593615","doi":"10.1016/j.jeca.2009.01.006","title":"Where in the U-shaped Curve Is Europe Found? An Empirical Analysis of Centre-Periphery in the E.U.","year":2009,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","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":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Economics; Welfare; Economic geography; Per capita; Population; Urbanization; Convergence (economics); Econometric model; Per capita income; Econometric analysis; Econometrics; Macroeconomics; Economic growth; Sociology; Market economy","score_opus":0.04450952406918465,"score_gpt":0.27376040353363124,"score_spread":0.22925087946444658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1786593615","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":[0.96919936,0.003449173,0.0002619317,0.02181006,0.00012092026,0.00013035283,0.000058356512,0.000002225964,0.0049676485],"genre_scores_gemma":[0.9946777,0.0026756972,0.000063971784,0.0023225695,0.00014951976,0.0000012282892,0.0000058905543,0.000010970552,0.00009243556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735016,0.00026610162,0.0017855096,0.00022987806,0.00008049239,0.00028785877],"domain_scores_gemma":[0.99720705,0.0006304845,0.0014869013,0.00055977656,0.000060109895,0.000055685643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004700603,0.00020418124,0.00096884306,0.0009959314,0.00010571655,0.00015511426,0.0013605799,0.00008391059,0.00026751362],"category_scores_gemma":[0.0001435653,0.000123232,0.0005003543,0.0014579451,0.00015297328,0.00043926167,0.000036822115,0.00037486508,0.000037055805],"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":[0.00043263618,0.00089756737,0.82836705,0.000014475909,0.0018123339,0.000022752682,0.02189351,0.019239424,0.000007079059,0.11879459,0.0046712216,0.0038473264],"study_design_scores_gemma":[0.0012051566,0.0004992894,0.8763353,0.000022971753,0.00045043786,0.000027370852,0.006658238,0.052803088,0.000009749046,0.033192452,0.02841731,0.00037859025],"about_ca_topic_score_codex":0.0011795376,"about_ca_topic_score_gemma":0.0042935484,"teacher_disagreement_score":0.08560214,"about_ca_system_score_codex":0.00014380817,"about_ca_system_score_gemma":0.00006924082,"threshold_uncertainty_score":0.50252557},"labels":[],"label_agreement":null},{"id":"W1802858457","doi":"10.1177/0891242414560814","title":"U.S. Regional Poverty Post-2000","year":2014,"lang":"en","type":"article","venue":"Economic Development Quarterly","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":"University of Saskatchewan","funders":"","keywords":"Economics; Poverty; Recession; Labor demand; Labour economics; Population; Great recession; Unemployment; Demographic economics; Development economics; Wage; Economic growth; Macroeconomics","score_opus":0.015155681283792695,"score_gpt":0.1862491977352911,"score_spread":0.17109351645149842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1802858457","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":[0.8178388,0.00050124136,0.016958194,0.012309158,0.0016658456,0.00035253525,0.00010870776,0.00017553783,0.15009002],"genre_scores_gemma":[0.98540014,0.000029334025,0.004266348,0.0037739747,0.00037304408,0.00004877877,0.00015527796,0.000048132137,0.0059049837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767125,0.000017665114,0.0011204665,0.0007150604,0.00003635976,0.0004392076],"domain_scores_gemma":[0.9988273,0.000055820336,0.00046475764,0.0004256447,0.000027373144,0.00019913964],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00062200415,0.0002812373,0.00059935945,0.0003227562,0.00019984404,0.00016380254,0.00042570112,0.00012260494,0.0022690182],"category_scores_gemma":[0.000012241988,0.0003294048,0.00023927215,0.00007441677,0.000056137967,0.0003556136,0.00003225026,0.00012672706,0.0140939625],"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":[0.000043891763,0.00011748347,0.018180074,0.0000179385,0.0003411174,0.0000024061483,0.0017784646,0.00024589026,0.000011798321,0.91525906,0.011715501,0.052286398],"study_design_scores_gemma":[0.0006998434,0.00014716269,0.037877336,0.000008622256,0.0000059794975,0.000008740806,0.00008524158,0.007959054,0.000016158014,0.05370057,0.8988235,0.00066778366],"about_ca_topic_score_codex":0.0006671199,"about_ca_topic_score_gemma":0.00045126607,"teacher_disagreement_score":0.887108,"about_ca_system_score_codex":0.00050138973,"about_ca_system_score_gemma":0.00014512341,"threshold_uncertainty_score":0.9999158},"labels":[],"label_agreement":null},{"id":"W1810996173","doi":"10.1111/j.0008-3658.2005.00095.x","title":"Diversity and employment growth in Canada, 1971–
2001: can diversification policies succeed?","year":2005,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Diversification (marketing strategy); Diversity (politics); Economic geography; Metropolitan area; Economics; Geography; Business; Political science","score_opus":0.017741848824102013,"score_gpt":0.16752017844719713,"score_spread":0.14977832962309512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1810996173","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":[0.9793895,0.002206869,0.000002453811,0.015071109,0.00019828754,0.00020719168,0.0007178704,0.000016729593,0.002189974],"genre_scores_gemma":[0.99265975,0.005334367,0.00004661781,0.0015550051,0.00008087655,0.000024412035,0.00006228986,0.000022609953,0.00021408474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977297,0.000018973482,0.0005790595,0.00061990897,0.00007069107,0.0009816198],"domain_scores_gemma":[0.9984101,0.000060156068,0.00022909115,0.0003023947,0.00007408616,0.00092416245],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002498639,0.00031087387,0.0005297505,0.003394088,0.001442727,0.00006925681,0.00043706363,0.000105682426,0.000117511794],"category_scores_gemma":[0.000053027914,0.00039521483,0.00016426628,0.0018941998,0.0003947252,0.00027577713,0.00023928707,0.00016980895,0.0000065918794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053006593,0.000010887256,0.9141038,0.000010256981,0.000103536055,0.00001476213,0.0013642786,0.00010157095,2.818957e-7,0.08087572,0.0025776057,0.00083198055],"study_design_scores_gemma":[0.0003186089,0.000025726886,0.95628124,0.000011585337,0.000019738663,0.000006572174,0.002661467,0.0003835801,0.000002781682,0.006555005,0.033214893,0.00051877584],"about_ca_topic_score_codex":0.9999479,"about_ca_topic_score_gemma":0.9999981,"teacher_disagreement_score":0.07432071,"about_ca_system_score_codex":0.0011225871,"about_ca_system_score_gemma":0.0002931894,"threshold_uncertainty_score":0.99985725},"labels":[],"label_agreement":null},{"id":"W1828250129","doi":"10.1111/j.1540-5982.2011.01643.x","title":"Heterogeneous firms, trade liberalization and agglomeration","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Liberalization; Economies of agglomeration; Economics; International trade; Business; Market economy; Microeconomics; Economic growth","score_opus":0.15532185266859153,"score_gpt":0.1643950402556609,"score_spread":0.009073187587069376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1828250129","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":[0.9926201,0.001195948,0.00041695376,0.0018078281,0.00073366705,0.00014188718,0.0001786313,0.000005477603,0.002899517],"genre_scores_gemma":[0.99712825,0.00075207953,0.0007437022,0.00074362603,0.00031345952,0.000008359384,0.000023582112,0.00004625235,0.0002406647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997838,0.000022052556,0.001267928,0.00038952375,0.0000012704642,0.00048118824],"domain_scores_gemma":[0.99747974,0.000035044144,0.0010213241,0.00028106917,0.000054324613,0.0011284972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005160376,0.0002479469,0.00070402893,0.0008508729,0.0001747097,0.00014981051,0.00033005426,0.00018614567,0.0006312006],"category_scores_gemma":[0.00007446768,0.0003258504,0.00024836973,0.00011862504,0.0001355963,0.0005811133,0.000015899579,0.0001880034,0.00003870048],"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":[0.00003075671,0.00001578037,0.025342863,0.000018022562,0.00022257914,0.00005244909,0.0018227573,0.0020615275,0.0000029971925,0.96883905,0.00023380508,0.0013573867],"study_design_scores_gemma":[0.0008546913,0.00046683082,0.012316656,0.00004137459,0.000053233216,0.0006093324,0.0001673308,0.012916511,0.00013067434,0.93343073,0.038254123,0.0007585376],"about_ca_topic_score_codex":0.13762565,"about_ca_topic_score_gemma":0.85410273,"teacher_disagreement_score":0.7164771,"about_ca_system_score_codex":0.000680511,"about_ca_system_score_gemma":0.00031541803,"threshold_uncertainty_score":0.99991935},"labels":[],"label_agreement":null},{"id":"W1840255765","doi":"10.2139/ssrn.841684","title":"Firm Entry and Wages: Impact of Wal-Mart Growth on Earnings Throughout the Retail Sector","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Endogeneity; Economic rent; Instrumental variable; Labour economics; Retail trade; Control (management); Economics; Business; Compensation (psychology); Demographic economics; Econometrics; Finance; Commerce","score_opus":0.014925449118897295,"score_gpt":0.2322681886518865,"score_spread":0.21734273953298922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1840255765","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":[0.9864776,0.0037674373,0.001998528,0.0015555929,0.000091263115,0.000076391676,0.000013754907,0.0000067398214,0.00601269],"genre_scores_gemma":[0.9874445,0.010996748,0.000019919098,0.00012966851,0.00022763175,0.0000013324365,0.0000037640345,0.000020484715,0.0011559466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980476,0.00001961227,0.00060426036,0.00023938523,0.00005702595,0.0010320978],"domain_scores_gemma":[0.9989603,0.00012514631,0.0006030923,0.0001811241,0.000045180335,0.00008516991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024776724,0.00016472604,0.0003886879,0.00019756406,0.00020401216,0.00006225307,0.00025089612,0.00008592649,0.00016314673],"category_scores_gemma":[0.000102660066,0.00012156062,0.0003672516,0.00018074272,0.00008489102,0.00014878246,0.000034049805,0.0009264696,0.000046544425],"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":[0.00016973644,0.00008707958,0.33318168,0.000008209115,0.00090408523,0.0000031594504,0.00048259215,0.00022067322,0.00005596634,0.66080993,0.0002550019,0.0038218913],"study_design_scores_gemma":[0.0014059636,0.0014907863,0.4069567,0.000028336972,0.000060422917,0.00017413052,0.0007184369,0.0018487783,0.00008607679,0.58048236,0.0062654344,0.0004825573],"about_ca_topic_score_codex":0.0015357983,"about_ca_topic_score_gemma":0.00069354987,"teacher_disagreement_score":0.08032753,"about_ca_system_score_codex":0.0005745709,"about_ca_system_score_gemma":0.0001976809,"threshold_uncertainty_score":0.4957098},"labels":[],"label_agreement":null},{"id":"W1842561362","doi":"10.1111/j.1468-2257.2010.00523.x","title":"Best Practices in Twenty‐First‐Century Rural Development and Policy","year":2010,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Externality; Urbanization; Context (archaeology); Economies of agglomeration; Order (exchange); Economic growth; Rural area; Business; Face (sociological concept); Economic geography; Economics; Economic system; Development economics; Geography; Political science; Finance; Sociology; Microeconomics","score_opus":0.055514386945310246,"score_gpt":0.24464403758486242,"score_spread":0.18912965063955217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1842561362","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":[0.9861953,0.002080235,0.00000677734,0.0068035712,0.00013418251,0.000093142626,0.000017582022,0.000006153207,0.0046630027],"genre_scores_gemma":[0.9943799,0.004456755,0.00024721952,0.00046146364,0.00026115496,0.000035055546,0.000012305574,0.000008854876,0.00013732316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992845,0.0000034243794,0.000267535,0.00022814964,0.000018178613,0.0001982289],"domain_scores_gemma":[0.9995166,0.000024784178,0.0002516151,0.00009129714,0.000008986606,0.00010672195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015952467,0.000105460495,0.00021818213,0.0002821288,0.00009322769,0.00008016466,0.000081385384,0.00007625757,0.000042797707],"category_scores_gemma":[0.00006247581,0.000111595604,0.000028830465,0.00013195025,0.0000444459,0.00025397094,0.00006514113,0.00012276536,0.000048715865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018705628,0.000103068516,0.6620723,0.000062606494,0.000044971854,0.0000058071264,0.00336542,2.704069e-7,0.000029097962,0.31891587,0.00004001007,0.015341847],"study_design_scores_gemma":[0.0011388611,0.0000883706,0.7546906,0.000029949439,0.000011785287,0.0000195228,0.0006591327,0.0010188248,0.000073957046,0.022104267,0.21955763,0.0006071027],"about_ca_topic_score_codex":0.01013244,"about_ca_topic_score_gemma":0.007553566,"teacher_disagreement_score":0.2968116,"about_ca_system_score_codex":0.000018778208,"about_ca_system_score_gemma":0.000014039945,"threshold_uncertainty_score":0.9964592},"labels":[],"label_agreement":null},{"id":"W184543263","doi":"","title":"Cities and the Economic Development of Nations: An Essay on Jane Jacobs' Contribution to Economic Theory */Les Villes et le Developpement Economique Des Nations. Un Presentation Sur le Contribution De Jane Jacobs a la Theorie Economique *","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Context (archaeology); Sociology; Ethnology; Political science; Philosophy; Geography","score_opus":0.02184140462344735,"score_gpt":0.237671198704724,"score_spread":0.21582979408127664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W184543263","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":[0.9412421,0.0035809113,0.032366235,0.019580273,0.0004484106,0.00047105388,0.00024804298,0.0000049159285,0.0020580536],"genre_scores_gemma":[0.9938022,0.0019386307,0.0031355263,0.0005391783,0.00017829797,0.0000319113,0.00004169262,0.000023545213,0.00030901615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99673986,0.00028832897,0.0017248528,0.0005157398,0.000088044886,0.0006431628],"domain_scores_gemma":[0.9954146,0.0016103402,0.0015715293,0.00025533058,0.0004774932,0.0006706948],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.013572429,0.00030823163,0.0007015899,0.0017228585,0.0013855952,0.00042910365,0.00069193006,0.00020056739,0.00011615222],"category_scores_gemma":[0.0009127568,0.00032305508,0.00022176422,0.00035408736,0.0022412443,0.0012898042,0.000062564184,0.0002762144,0.000020115693],"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":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00022642697,0.000057876725,0.008366169,0.000016857852,0.00021256017,0.0000041536946,0.0023540626,0.024541242,0.000026054257,0.95639884,0.00008855227,0.007707188],"study_design_scores_gemma":[0.007413344,0.00053133967,0.24535356,0.00053537154,0.00011993079,0.00032722778,0.005726806,0.019107435,0.0054481667,0.58182055,0.13227347,0.0013428197],"about_ca_topic_score_codex":0.021855887,"about_ca_topic_score_gemma":0.2715004,"teacher_disagreement_score":0.37457833,"about_ca_system_score_codex":0.0044574616,"about_ca_system_score_gemma":0.010588061,"threshold_uncertainty_score":0.99992216},"labels":[],"label_agreement":null},{"id":"W1845899342","doi":"","title":"Explaining Canadian Regional Wage Relativities","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Treasury Board of Canada Secretariat; Government of Canada; Natural Resources Canada","funders":"","keywords":"Wage; Economies of agglomeration; Context (archaeology); Economics; Human capital; Economic geography; Current Population Survey; Population; Labour economics; Demographic economics; Capital (architecture); Efficiency wage; Geography; Economic growth; Sociology","score_opus":0.09637278079784839,"score_gpt":0.2764978336094775,"score_spread":0.1801250528116291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1845899342","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40963945,0.00045807162,0.000013074643,0.003772902,0.00025780112,0.00019576652,0.000066282184,0.000021797954,0.58557487],"genre_scores_gemma":[0.9903713,0.0017490913,0.00041571664,0.00041743947,0.00021520174,0.000068710826,0.00005136119,0.000046898964,0.0066642812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974815,0.000063074534,0.00082103413,0.00069700385,0.00007149668,0.0008658686],"domain_scores_gemma":[0.9983283,0.00021777289,0.00020195384,0.0005376117,0.00007082109,0.00064349803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024975212,0.00020815253,0.00054616143,0.0012451641,0.0002273311,0.000163579,0.00047582432,0.0002039395,0.00027945315],"category_scores_gemma":[0.00038305254,0.00026187202,0.00017740429,0.00028499748,0.00024567783,0.00035531702,0.00011643498,0.0005117095,0.00035555955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009074878,0.00013396126,0.21242939,0.000016650787,0.00022555138,0.00009676835,0.0030547897,0.0122657465,0.0000046214964,0.7369088,0.0028789528,0.03189402],"study_design_scores_gemma":[0.001368234,0.00016439694,0.021964682,0.000040453964,0.00000415826,0.000024770077,0.0038762286,0.05322865,0.000009935892,0.0991137,0.8193748,0.00082998787],"about_ca_topic_score_codex":0.054531008,"about_ca_topic_score_gemma":0.10824118,"teacher_disagreement_score":0.81649584,"about_ca_system_score_codex":0.0015876258,"about_ca_system_score_gemma":0.00047269196,"threshold_uncertainty_score":0.9999834},"labels":[],"label_agreement":null},{"id":"W1851806200","doi":"10.1111/j.1540-5982.2008.01497.x","title":"Viewpoint: Agglomeration research in the age of disaggregation","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Economic geography; Unit (ring theory); Economics; Regional science; Industrial organization; Geography; Microeconomics","score_opus":0.2640721392801506,"score_gpt":0.23082856448839195,"score_spread":0.03324357479175866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851806200","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":[0.96968234,0.0009944023,0.00012988351,0.023020575,0.0003599992,0.00022907143,0.00009101321,0.0000014064918,0.0054912907],"genre_scores_gemma":[0.9975308,0.00056571397,0.0001935475,0.0011820926,0.0003530751,0.000008548314,0.000030052543,0.000017712513,0.00011841885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973454,0.00009308661,0.0016811555,0.00032185577,0.0000037262207,0.0005548098],"domain_scores_gemma":[0.9978563,0.00018487108,0.0009843447,0.0004349556,0.00014627526,0.00039323798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035704863,0.00018298293,0.00074296445,0.0016957998,0.00015567578,0.00015810697,0.00077212293,0.00015889504,0.00012760653],"category_scores_gemma":[0.00022810992,0.00019567,0.00030066376,0.00043866018,0.00018396034,0.00047101494,0.000010485213,0.0004418084,0.000033887638],"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":[0.000023828692,0.000025097517,0.006057523,0.000012332542,0.00004285355,0.000051296425,0.0015726029,0.0042875945,0.000006937934,0.98518735,0.00024167642,0.0024909098],"study_design_scores_gemma":[0.00046624473,0.00037071304,0.017431349,0.00006907968,0.000009610417,0.00007702956,0.00041881987,0.002911138,0.000023192593,0.95482373,0.023166806,0.00023228493],"about_ca_topic_score_codex":0.14982256,"about_ca_topic_score_gemma":0.91330457,"teacher_disagreement_score":0.763482,"about_ca_system_score_codex":0.0011461452,"about_ca_system_score_gemma":0.000512595,"threshold_uncertainty_score":0.85583884},"labels":[],"label_agreement":null},{"id":"W1855519786","doi":"10.1111/jors.12146","title":"RETAIL AMENITIES AND URBAN SPRAWL","year":2014,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Urban sprawl; Economies of agglomeration; Externality; Economic geography; Welfare; Economics; Urban agglomeration; Population; General equilibrium theory; Urban economics; Business; Microeconomics; Urban planning; Market economy","score_opus":0.035741382419949605,"score_gpt":0.20691892580473903,"score_spread":0.1711775433847894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1855519786","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":[0.9633265,0.0016786156,0.003957613,0.012176746,0.00029731594,0.00003487759,0.0000042680576,0.0000049554455,0.018519118],"genre_scores_gemma":[0.9967185,0.0005025648,0.0012638683,0.00067927147,0.00024040967,5.532767e-7,2.6657034e-7,0.0000047206863,0.00058984035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990416,0.000008627781,0.0004956737,0.0001858556,0.0000971593,0.00017106035],"domain_scores_gemma":[0.9989016,0.00006714296,0.0006415382,0.000121425,0.00011254275,0.00015573837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014617875,0.00007918256,0.0002961404,0.00035072304,0.00016548758,0.00013435433,0.0003333712,0.000029938414,0.00006869982],"category_scores_gemma":[0.00015941072,0.000071167044,0.00011637575,0.00025135383,0.00050115085,0.0005045918,0.000047083777,0.000104563,0.000029376595],"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":[0.000015192614,0.000025967958,0.04972945,0.0000052958285,0.000028155811,0.0000026230578,0.00020512284,0.000114595125,0.000117297626,0.9453564,0.0017532089,0.0026466346],"study_design_scores_gemma":[0.00056881475,0.00033533372,0.09563292,0.00003704624,0.000016600397,0.00019090156,0.00018218764,0.0131356465,0.00009264582,0.23659985,0.6528691,0.00033896862],"about_ca_topic_score_codex":0.000074467,"about_ca_topic_score_gemma":0.000011240085,"teacher_disagreement_score":0.7087566,"about_ca_system_score_codex":0.00006309205,"about_ca_system_score_gemma":0.0000517336,"threshold_uncertainty_score":0.29021078},"labels":[],"label_agreement":null},{"id":"W1856145285","doi":"10.1111/jors.12111","title":"POPULATION DENSITY IN A CENTRAL‐PLACE SYSTEM","year":2014,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hierarchy; Context (archaeology); Scale (ratio); Set (abstract data type); Population; Heuristic; Smoothing; Scope (computer science); Simple (philosophy); Mathematical economics; Econometrics; Computer science; Geography; Mathematics; Mathematical optimization; Economics; Cartography; Statistics; Sociology; Epistemology","score_opus":0.02162074398804878,"score_gpt":0.20764852348987742,"score_spread":0.18602777950182864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856145285","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":[0.9890709,0.00015362294,0.0059805172,0.0024691522,0.00029484162,0.000034540502,0.0000014878533,0.000003480446,0.001991474],"genre_scores_gemma":[0.99879354,0.000051333453,0.0007658573,0.00015049116,0.00017288754,5.031713e-7,6.5929754e-7,0.000003876051,0.00006087206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998816,0.000015895934,0.00064958545,0.00019402888,0.00010976277,0.00021469448],"domain_scores_gemma":[0.9988718,0.000043098327,0.0007456967,0.00012540638,0.000082484956,0.00013149397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019113403,0.0000726999,0.0003309306,0.00046290562,0.00009524791,0.0000694425,0.00032995947,0.000037076676,0.000013422835],"category_scores_gemma":[0.00013605237,0.00006918705,0.00012970479,0.00045932652,0.00009987705,0.00043938498,0.000029366907,0.00010966318,0.000026967618],"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":[0.000022068862,0.000034049823,0.3097578,0.000009380154,0.000009466739,0.0000050002723,0.000089456145,0.0061212284,0.00004937815,0.6829913,0.00018091059,0.0007299633],"study_design_scores_gemma":[0.0003902731,0.00006413779,0.8624915,0.00005205572,0.0000042189204,0.000085246356,0.000059037193,0.10795576,0.000020521684,0.02296769,0.0057606557,0.00014892135],"about_ca_topic_score_codex":0.00094655884,"about_ca_topic_score_gemma":0.00020580775,"teacher_disagreement_score":0.6600236,"about_ca_system_score_codex":0.00041192365,"about_ca_system_score_gemma":0.000052835185,"threshold_uncertainty_score":0.28213662},"labels":[],"label_agreement":null},{"id":"W1856380757","doi":"10.1111/j.1541-0064.2009.00276.x","title":"Where does all the talent flow? Migration of young graduates and nongraduates, Canada 1996–2001","year":2009,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Context (archaeology); Affect (linguistics); Wage; Focus (optics); Gravity model of trade; Economic geography; Flow (mathematics); Demographic economics; Economics; Econometrics; Sociology; Geography; Mathematics; Labour economics; Macroeconomics","score_opus":0.009736176952258745,"score_gpt":0.16610623978768732,"score_spread":0.15637006283542856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856380757","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":[0.9469821,0.012665949,0.0000068981276,0.03715325,0.00048973307,0.00030359626,0.0010666157,0.00001960353,0.0013122467],"genre_scores_gemma":[0.97916013,0.018955946,0.00012008698,0.001218275,0.00009656427,0.000027627864,0.0001338368,0.000024620625,0.00026290392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976847,0.000026085112,0.00079918513,0.00057082763,0.00008410234,0.00083507673],"domain_scores_gemma":[0.9982607,0.000078359,0.00039957662,0.0005035855,0.000111275855,0.00064653164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003259066,0.0003631172,0.000619011,0.0015180341,0.00045434767,0.00014450826,0.0004574673,0.00011787805,0.00006552167],"category_scores_gemma":[0.00005360597,0.00030051323,0.00028682634,0.0015371403,0.0005694268,0.0002248652,0.00002664064,0.00017576816,0.0000025919983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019554534,0.000035190864,0.8393263,0.000060605027,0.00063256425,0.000040060204,0.0008942744,0.00025693915,0.000012644247,0.11657604,0.035828438,0.0063173864],"study_design_scores_gemma":[0.00039917033,0.00014454807,0.74201864,0.00005146666,0.00009827013,0.00003459884,0.0022991789,0.0027196615,0.000021044663,0.043342233,0.20798662,0.00088455854],"about_ca_topic_score_codex":0.9986078,"about_ca_topic_score_gemma":0.9999856,"teacher_disagreement_score":0.17215818,"about_ca_system_score_codex":0.00014839822,"about_ca_system_score_gemma":0.00018700749,"threshold_uncertainty_score":0.9999447},"labels":[],"label_agreement":null},{"id":"W1871717940","doi":"","title":"The General Equilibrium Wage Impact of Trade-Induced Shifts in Industrial Compositions of Employment in Brazilian Cities, 1991-2000","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Wage; Restructuring; Endogeneity; Labour economics; Real wages; Productivity; General equilibrium theory; Efficiency wage; Free trade; International economics; Macroeconomics; Econometrics","score_opus":0.033413680709249466,"score_gpt":0.22774865732793112,"score_spread":0.19433497661868165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871717940","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":[0.9913857,0.00019043335,0.000012694059,0.0014366932,0.00009828838,0.00025641356,0.00094118214,0.000006984855,0.005671604],"genre_scores_gemma":[0.9986178,0.00037792753,0.00040970327,0.0000191302,0.00004316868,0.0000012593022,0.00012962999,0.000019214698,0.0003821173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981574,0.000092890434,0.000841562,0.00040591267,0.00011366792,0.00038860715],"domain_scores_gemma":[0.99833626,0.000247139,0.0006311201,0.00060916366,0.000036059613,0.00014027023],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006476926,0.00023404941,0.0007900138,0.0006157666,0.00014749427,0.000019131727,0.00092009903,0.0001758813,0.00022767171],"category_scores_gemma":[0.000064482665,0.00025531303,0.000596364,0.00041390085,0.00056296383,0.00019378326,0.00027521246,0.000610052,0.000005397295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033545203,0.0030672543,0.6792276,0.00012693876,0.0020558545,0.00012606176,0.045386214,0.008247299,0.030468656,0.21246162,0.001635462,0.013842559],"study_design_scores_gemma":[0.0047291275,0.00076699065,0.9128596,0.00013458889,0.000053444226,0.000007760508,0.002931496,0.057137612,0.00020447133,0.013147523,0.007333752,0.0006936311],"about_ca_topic_score_codex":0.08425011,"about_ca_topic_score_gemma":0.054002777,"teacher_disagreement_score":0.23363204,"about_ca_system_score_codex":0.00025335074,"about_ca_system_score_gemma":0.00023475064,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W1879509806","doi":"10.1002/smj.2141","title":"Agglomeration and clustering over the industry life cycle: Toward a dynamic model of geographic concentration","year":2013,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Economies of agglomeration; Economic geography; Cluster analysis; Industrial organization; Economics; Econometrics; Business; Microeconomics; Mathematics; Statistics","score_opus":0.032376750631553305,"score_gpt":0.21831324479756375,"score_spread":0.18593649416601044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1879509806","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":[0.9664455,0.000442749,0.006268262,0.0021820718,0.000101153404,0.00018655363,0.000009070037,0.0000055646187,0.024359051],"genre_scores_gemma":[0.99729544,0.0019212905,0.00030288004,0.00025052583,0.000044734392,0.000013336624,0.000004959874,0.000007852505,0.00015899508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990328,0.000013911145,0.0005659423,0.0001744431,0.000049942188,0.00016296093],"domain_scores_gemma":[0.9992762,0.00000950173,0.00047184445,0.0001290696,0.000031871437,0.00008146482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033432583,0.00010767109,0.00021357095,0.00014079672,0.00014074612,0.00028331322,0.00015087241,0.000076546654,0.00033604563],"category_scores_gemma":[0.0000038522858,0.00009152094,0.00009459574,0.00011001454,0.00006228434,0.00025436803,0.000046825982,0.00022363191,0.000012130322],"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":[0.000012670785,0.00005043817,0.020391963,0.000062042185,0.00045166758,0.0000016315427,0.00021064776,0.06501391,0.000033480334,0.9124995,0.000054425967,0.001217634],"study_design_scores_gemma":[0.00023479393,0.000016540458,0.012202073,0.000008121362,0.000015044957,0.0000023281088,0.0002704905,0.6583826,3.4933208e-7,0.3287773,0.000015954336,0.000074414376],"about_ca_topic_score_codex":0.0002509185,"about_ca_topic_score_gemma":0.00003875974,"teacher_disagreement_score":0.59336865,"about_ca_system_score_codex":0.000034755714,"about_ca_system_score_gemma":0.000013819933,"threshold_uncertainty_score":0.37321156},"labels":[],"label_agreement":null},{"id":"W1883459023","doi":"10.1111/j.1944-8287.2009.01017.x","title":"Evolution in Economic Geography: Institutions, Political Economy, and Adaptation","year":2009,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":471,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council","keywords":"Evolutionary economics; Agency (philosophy); Politics; Adaptation (eye); Sociocultural evolution; Sociology; Economic geography; Economic system; Economics; Social science; Neoclassical economics; Political science","score_opus":0.020213315854438963,"score_gpt":0.21317182541234309,"score_spread":0.1929585095579041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1883459023","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":[0.85330427,0.002759882,0.0020272634,0.008901429,0.00053564523,0.00044026625,0.00023821954,0.000084215644,0.13170879],"genre_scores_gemma":[0.9975601,0.00035329582,0.000845375,0.00083342596,0.00023330605,0.000039074675,0.00008429122,0.000019410914,0.000031720057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99715716,0.00002461044,0.0012981974,0.0008730679,0.000018732002,0.0006282476],"domain_scores_gemma":[0.99884444,0.000051524952,0.00042114704,0.00040008058,0.000014353353,0.0002684528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055460545,0.00031972842,0.00069889036,0.0016247001,0.00018282529,0.00019538167,0.00027014624,0.00019961415,0.00022950716],"category_scores_gemma":[0.000014457455,0.00042428367,0.00037798868,0.00016304542,0.00020550801,0.00077070255,0.0000500149,0.00021237478,0.0005340943],"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":[0.00001586207,0.000045565484,0.25821397,0.0000045040597,0.000048722028,0.0000015083606,0.000030084606,0.0048502563,6.840056e-7,0.7362543,0.00007125845,0.00046332311],"study_design_scores_gemma":[0.0007168689,0.000088890454,0.41350126,0.0000087962635,0.000012432233,0.000007838631,0.00007959656,0.046533402,0.0000014601729,0.52976996,0.008869298,0.0004101782],"about_ca_topic_score_codex":0.005456153,"about_ca_topic_score_gemma":0.0014432035,"teacher_disagreement_score":0.20648432,"about_ca_system_score_codex":0.0005274154,"about_ca_system_score_gemma":0.000094194605,"threshold_uncertainty_score":0.9998209},"labels":[],"label_agreement":null},{"id":"W1891734124","doi":"","title":"Dwindling U.S. Internal Migration: Evidence of Spatial Equilibrium?","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of Saskatchewan","funders":"","keywords":"Amenity; Economics; Urban hierarchy; Redistribution (election); Empirical evidence; Population; Internal migration; Quantile regression; Economic geography; Hierarchy; Urbanization; General equilibrium theory; Demographic economics; Econometrics; Macroeconomics; Market economy; Economic growth; Developing country","score_opus":0.05755535528099072,"score_gpt":0.2542277662475597,"score_spread":0.196672410966569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891734124","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":[0.8772872,0.0032864374,0.09212291,0.005359332,0.0022928827,0.00029711696,0.00017811,0.000042069933,0.019133922],"genre_scores_gemma":[0.9933632,0.0008329338,0.0035445117,0.0001486947,0.0006146604,0.000022631915,0.00004425223,0.000029431163,0.0013996685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974481,0.000013386227,0.0015011929,0.0007422192,0.00006209954,0.00023303418],"domain_scores_gemma":[0.997562,0.00010497032,0.0013704683,0.00074542937,0.000108657085,0.00010847709],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064345944,0.00028340085,0.0009639883,0.0003828694,0.000037410096,0.00015427021,0.000742886,0.00043249226,0.0022145102],"category_scores_gemma":[0.00018182659,0.00031670215,0.00062652846,0.00008817321,0.00010871191,0.00019111748,0.0006706125,0.0006790064,0.00025923018],"study_design_candidate":"theoretical_or_conceptual","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":[0.00028843732,0.00047750768,0.40393183,0.0011266025,0.0017962102,0.000019211093,0.001116425,0.0222955,0.0019398482,0.55458814,0.0020457967,0.010374499],"study_design_scores_gemma":[0.0006016815,0.0002198696,0.031431824,0.00070312736,0.00011102401,0.000009499812,0.000043350912,0.64193815,0.0032887366,0.30322218,0.016749833,0.0016807223],"about_ca_topic_score_codex":0.033164386,"about_ca_topic_score_gemma":0.005954143,"teacher_disagreement_score":0.6196427,"about_ca_system_score_codex":0.0000785249,"about_ca_system_score_gemma":0.00009249779,"threshold_uncertainty_score":0.99992853},"labels":[],"label_agreement":null},{"id":"W1892095578","doi":"10.1111/j.1435-5957.2010.00330.x","title":"Urban sprawl and productivity: Evidence from US metropolitan areas","year":2010,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":154,"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","funders":"","keywords":"Urban sprawl; Metropolitan area; Productivity; Economic geography; Geography; Natural resource economics; Regional science; Economics; Urban planning; Economic growth; Engineering; Civil engineering","score_opus":0.020356184839819654,"score_gpt":0.21745678203018282,"score_spread":0.19710059719036316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1892095578","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":[0.9703909,0.00041188917,0.000010930177,0.02451186,0.00028224342,0.00008510725,0.000023585135,0.00000642302,0.004277016],"genre_scores_gemma":[0.9986242,0.0001463268,0.00024065252,0.00018782039,0.00014971959,0.0000053212348,0.000001510802,0.0000049620044,0.0006394853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897176,0.000015726606,0.00029373553,0.00038056777,0.00015155853,0.000186656],"domain_scores_gemma":[0.99868983,0.00019193713,0.00067184184,0.00029139206,0.00008465432,0.000070365815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013228233,0.00008539632,0.0002246998,0.00011284537,0.00027600306,0.00007533026,0.00040923705,0.000059052934,0.00004689787],"category_scores_gemma":[0.0015954407,0.00007175562,0.00012251598,0.00041389142,0.00034985965,0.00041011904,0.00009900019,0.00013538667,0.000016874565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042666256,0.00002179865,0.91634,0.0000017325623,0.00003506733,5.1896915e-8,0.00013698259,0.000012529271,0.005797345,0.07703191,0.00036313143,0.0002552008],"study_design_scores_gemma":[0.00008335102,0.000013208768,0.96659815,0.000010245761,0.000015138365,6.205917e-7,0.00005038347,0.0011278812,0.0006822358,0.021830346,0.009472538,0.00011588764],"about_ca_topic_score_codex":0.025931958,"about_ca_topic_score_gemma":0.005048172,"teacher_disagreement_score":0.055201568,"about_ca_system_score_codex":0.00043888955,"about_ca_system_score_gemma":0.000104191364,"threshold_uncertainty_score":0.98055446},"labels":[],"label_agreement":null},{"id":"W1897882121","doi":"10.1111/j.1365-2966.2008.00463.x","title":"Agglomeration and fair wages","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Economics; Wage; Imperfect; Labour economics; Unemployment; Differential (mechanical device); Real wages; Microeconomics; Macroeconomics","score_opus":0.1462717142938664,"score_gpt":0.16352343798745125,"score_spread":0.017251723693584853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1897882121","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":[0.9889319,0.0015790478,0.00026997426,0.00473524,0.00074809487,0.000122058496,0.0001881457,0.0000052992805,0.0034202603],"genre_scores_gemma":[0.9956488,0.0016570379,0.00058699417,0.0006700047,0.0005069145,0.000007727019,0.000017028646,0.000042249234,0.00086321647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977413,0.000019040412,0.0012843967,0.00041633417,0.0000013497736,0.00053760293],"domain_scores_gemma":[0.99720395,0.00007177463,0.0009916774,0.00030972986,0.00010578743,0.00131708],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058904494,0.00025743048,0.0008530552,0.0010184295,0.00031664834,0.00012849412,0.00036422288,0.00017818593,0.00037757878],"category_scores_gemma":[0.00014810235,0.00033480406,0.00028476925,0.00013135419,0.00024908723,0.0006367761,0.00002099697,0.0002543011,0.00008471377],"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":[0.000019721045,0.000010204265,0.055389732,0.000013924944,0.00018970807,0.000102871636,0.0008671996,0.0021783465,0.0000037878608,0.93962854,0.00076410023,0.00083185564],"study_design_scores_gemma":[0.0013405544,0.0004769756,0.029545764,0.00004735162,0.00004138494,0.0018871814,0.00031437931,0.010618379,0.00006131244,0.8092567,0.14538215,0.0010278936],"about_ca_topic_score_codex":0.1583042,"about_ca_topic_score_gemma":0.84738475,"teacher_disagreement_score":0.68908054,"about_ca_system_score_codex":0.00082955736,"about_ca_system_score_gemma":0.00057497463,"threshold_uncertainty_score":0.9999104},"labels":[],"label_agreement":null},{"id":"W1898455869","doi":"","title":"Inter- and Intra-Firm Linkages: Evidence from Microgeographic Location Patterns","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economies of agglomeration; Homogeneous; Industrial organization; Economic geography; Business; Economics; Microeconomics","score_opus":0.029087265884283002,"score_gpt":0.22003645023919455,"score_spread":0.19094918435491154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1898455869","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":[0.9074225,0.028679375,0.059070315,0.0043868353,0.00021403118,0.000064474996,0.000017743529,0.000012277364,0.00013246242],"genre_scores_gemma":[0.97154343,0.027617376,0.0000884053,0.00020100623,0.00029562338,0.0000049951504,0.000012330311,0.00001753452,0.00021930647],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982681,0.000026374297,0.00055327517,0.0003329908,0.000041407246,0.00077780796],"domain_scores_gemma":[0.9991203,0.000049649392,0.00039593165,0.0001952701,0.00008032134,0.00015855541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014589634,0.00014715495,0.00032177736,0.0002614219,0.00009971385,0.0001745891,0.00026823554,0.00009049655,0.00004025068],"category_scores_gemma":[0.00011365924,0.00015817967,0.00012364025,0.00018152823,0.000049095317,0.00038595026,0.000053138647,0.0006653269,0.00011430118],"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":[0.000031672782,0.000059481557,0.87692523,0.000007498821,0.00046266973,0.0000035102112,0.0005765327,0.0001464561,0.000024577352,0.112279184,0.00017230544,0.009310908],"study_design_scores_gemma":[0.00075578963,0.00030570274,0.04470369,0.000080872065,0.00004425598,0.000089385285,0.0011471392,0.005450217,0.000024333734,0.94345295,0.0035500277,0.00039562723],"about_ca_topic_score_codex":0.0053663696,"about_ca_topic_score_gemma":0.004526278,"teacher_disagreement_score":0.8322215,"about_ca_system_score_codex":0.00045319094,"about_ca_system_score_gemma":0.00026267735,"threshold_uncertainty_score":0.81123817},"labels":[],"label_agreement":null},{"id":"W1900450086","doi":"10.1080/15575330.2015.1090469","title":"Economic development practices of cities in Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"Community Development","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Economic growth; Local economic development; Community economic development; Regional science; Political science; Geography; Economics","score_opus":0.11065728064283875,"score_gpt":0.2375853195882324,"score_spread":0.12692803894539365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1900450086","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":[0.97038984,0.00022790776,0.0000775429,0.0004064832,0.00021059418,0.00008837924,0.000008224919,0.0000058953306,0.028585132],"genre_scores_gemma":[0.99522746,0.000018112325,0.0031140125,0.00014025599,0.000009245701,0.000023356724,0.000058576035,0.000010733772,0.0013982576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985353,0.00004358643,0.0009854803,0.00017253465,0.00004764315,0.00021548942],"domain_scores_gemma":[0.99857205,0.00009396733,0.0008505334,0.00032699836,0.00004014764,0.00011631212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012362207,0.00014715604,0.000468142,0.00022081351,0.00012447048,0.000034167515,0.00044686827,0.00005431917,0.00027045803],"category_scores_gemma":[0.0000864591,0.00017921664,0.000038109556,0.00008303619,0.000040403316,0.00016651941,0.00021038677,0.00028837883,0.00007482115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029435498,0.00015028556,0.96420795,0.000026258038,0.00017384131,0.0000034899774,0.012437258,0.0015911891,9.689561e-7,0.01837311,0.0018323363,0.0011738542],"study_design_scores_gemma":[0.0005602714,0.000022300635,0.60493755,0.000025076197,0.0000029395624,0.0000020306743,0.0023043053,0.00026663175,0.00019581692,0.004153693,0.38717875,0.00035063454],"about_ca_topic_score_codex":0.99307203,"about_ca_topic_score_gemma":0.9996325,"teacher_disagreement_score":0.3853464,"about_ca_system_score_codex":0.0029585047,"about_ca_system_score_gemma":0.0036102238,"threshold_uncertainty_score":0.77363867},"labels":[],"label_agreement":null},{"id":"W1900939021","doi":"10.1111/j.0033-0124.2004.05601013.x","title":"Geographies of the United States in the Year 2004<sup>*</sup>","year":2004,"lang":"en","type":"article","venue":"The Professional Geographer","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Blame; Citation; Wish; Library science; Sociology; Media studies; Computer science; Psychology; Anthropology; Social psychology","score_opus":0.01866473709686899,"score_gpt":0.220208144132164,"score_spread":0.201543407035295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1900939021","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":[0.97766757,0.0010473322,0.000053298438,0.018714001,0.00015215336,0.00027630627,0.000097186086,0.000008559708,0.0019836056],"genre_scores_gemma":[0.9968759,0.00056394626,0.000058258247,0.0017466593,0.000056891335,0.00004427516,0.000030027262,0.000013973929,0.0006101078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879766,0.00007441149,0.00054326106,0.00023047719,0.00009618382,0.0002580311],"domain_scores_gemma":[0.9989914,0.00013599721,0.00030907616,0.00049004884,0.000043258322,0.000030263192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009010452,0.00014985178,0.00027002126,0.000316776,0.00025695408,0.000036988702,0.000808542,0.000079376354,0.00022756188],"category_scores_gemma":[0.00003445039,0.00007652153,0.00033629412,0.0013768526,0.0003656688,0.00007939088,0.00012379093,0.0002871381,0.0000659188],"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":[0.00004749195,0.0002755308,0.42231816,0.000016565911,0.00018269951,0.0000011958723,0.0034800663,0.054587968,0.000002745743,0.5174071,0.0015608469,0.00011960367],"study_design_scores_gemma":[0.0009154271,0.000046317873,0.3640721,0.000065846354,0.000028454626,0.0000027253204,0.0044122413,0.0030304,0.000015429094,0.59664613,0.03050626,0.0002586621],"about_ca_topic_score_codex":0.0063180104,"about_ca_topic_score_gemma":0.00044509655,"teacher_disagreement_score":0.079239,"about_ca_system_score_codex":0.00001897336,"about_ca_system_score_gemma":0.000026610845,"threshold_uncertainty_score":0.9550984},"labels":[],"label_agreement":null},{"id":"W1906008738","doi":"10.1111/caje.12128","title":"The comparative political economy of the location of industry","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Voting; Economics; Incentive; Subsidy; Competition (biology); Welfare; Politics; Microeconomics; Market economy; Political economy; Political science","score_opus":0.23570192090027847,"score_gpt":0.20471791534966186,"score_spread":0.030984005550616617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1906008738","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":[0.9682597,0.00092127663,0.000083122795,0.012041163,0.00091735425,0.00018044435,0.00015853616,0.0000013256897,0.017437082],"genre_scores_gemma":[0.99882555,0.000025279182,0.00008449399,0.0004672194,0.00028765787,0.000007631331,0.0000043364844,0.000021504075,0.00027630295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99736154,0.000052376585,0.0018132236,0.00024809391,0.0000027369308,0.00052200555],"domain_scores_gemma":[0.9955309,0.00019829118,0.0021727062,0.00052928465,0.0004953335,0.0010734805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012666221,0.00020564492,0.00086725544,0.0003989073,0.0001578196,0.000081313905,0.0009575623,0.00023794628,0.000046907142],"category_scores_gemma":[0.0003380833,0.00018403976,0.00034312395,0.0002603731,0.0005675769,0.00030147308,0.00004080369,0.00043419973,0.000014891124],"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":[0.000026688422,0.000011660504,0.025352022,0.000014213391,0.00020782104,0.0000017105937,0.00054667785,0.00596512,6.1279536e-7,0.9672134,0.0005802045,0.00007985075],"study_design_scores_gemma":[0.0005917276,0.00018752251,0.0051477198,0.000050622653,0.00003483326,0.0000621772,0.0014831672,0.0059474614,0.0001575798,0.9488351,0.03725177,0.00025032015],"about_ca_topic_score_codex":0.10938898,"about_ca_topic_score_gemma":0.7594991,"teacher_disagreement_score":0.65011007,"about_ca_system_score_codex":0.0013949218,"about_ca_system_score_gemma":0.002541046,"threshold_uncertainty_score":0.89654166},"labels":[],"label_agreement":null},{"id":"W1910125390","doi":"10.1111/1468-0289.12028","title":"Mechanization and the spatial distribution of industries in the <scp>G</scp>erman <scp>E</scp>mpire, 1875 to 1907","year":2013,"lang":"en","type":"article","venue":"The Economic History Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":32,"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":"Standard deviation; Incentive; Constraint (computer-aided design); Steam power; Quarter (Canadian coin); Distribution (mathematics); Spatial distribution; Power (physics); Economic geography; Technological change; Industrial organization; Environmental science; Agricultural economics; Economics; Market economy; Geography; Mathematics; Engineering; Mechanical engineering; Statistics; Archaeology; Waste management; Physics","score_opus":0.029388498251247664,"score_gpt":0.20210201816905335,"score_spread":0.17271351991780567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910125390","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":[0.7386916,0.20100242,0.0026395172,0.011982837,0.0011083048,0.0041689877,0.0003379973,0.000042909604,0.04002542],"genre_scores_gemma":[0.9566625,0.038397163,0.000017701237,0.0023426116,0.00017303014,0.0003144734,0.00009315253,0.000028937831,0.0019704446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799615,0.00017615852,0.0011334462,0.00038339302,0.000044603865,0.00026624513],"domain_scores_gemma":[0.9977014,0.0006966458,0.0008690225,0.000617289,0.000043218744,0.00007239238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367574,0.00022966291,0.00081066595,0.00011600299,0.00016334832,0.00006465575,0.00061534223,0.00010055612,0.0001634671],"category_scores_gemma":[0.00086513814,0.00015504743,0.00020201034,0.0002039348,0.00025602555,0.00021955385,0.000097009666,0.00022880052,0.0006755505],"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":[0.0000034721027,0.000052670814,0.0031431604,0.00024614297,0.00015495122,6.553722e-7,0.002486645,0.0004941291,0.0000032036967,0.85725176,0.13150552,0.004657667],"study_design_scores_gemma":[0.0004366454,0.000039758124,0.0070643034,0.00012025641,0.00006428693,0.0000059875492,0.0002851594,0.0033385183,0.000008168136,0.01757874,0.9709847,0.00007345756],"about_ca_topic_score_codex":0.004922602,"about_ca_topic_score_gemma":0.0007103817,"teacher_disagreement_score":0.83967304,"about_ca_system_score_codex":0.00053343095,"about_ca_system_score_gemma":0.000091186535,"threshold_uncertainty_score":0.86830604},"labels":[],"label_agreement":null},{"id":"W1910670986","doi":"10.1111/jors.12036","title":"The Oxford Handbook of Urban Economics and Planning, edited by NancyBrooks, KieranDonaghy, and Gerrit‐JanKnaap. 2012. New York: Oxford University Press. 1006 + xx. ISBN 978‐0‐19‐538062‐0, $175.","year":2013,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Subject (documents); Value (mathematics); Sociology; Point (geometry); Management; Economics; Library science; History; Computer science; Mathematics","score_opus":0.022888934338239516,"score_gpt":0.19552852217346145,"score_spread":0.17263958783522193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910670986","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":[0.8575285,0.10578879,0.005555492,0.020959,0.0009935227,0.0004963221,0.00013409667,0.000015532287,0.008528746],"genre_scores_gemma":[0.77862424,0.18957554,0.0048686387,0.0011209097,0.001181546,0.000007284007,0.000014373219,0.00005346855,0.024554005],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983508,0.000021719752,0.0007925873,0.00036449856,0.00011819747,0.0003522226],"domain_scores_gemma":[0.9975765,0.00021086632,0.001411,0.00022456009,0.00015645014,0.0004206768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008883115,0.00019409107,0.00054048555,0.0002924136,0.0004870045,0.00024904922,0.00066740543,0.00009467976,0.000043357937],"category_scores_gemma":[0.000086372725,0.00016248126,0.00018289822,0.00021468752,0.0008752556,0.0010563731,0.00014260705,0.00021596465,0.0000026088142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041285172,0.00015298078,0.061414234,0.00004354015,0.00043618836,0.0000132728055,0.0010501755,0.0016386335,0.00017303145,0.1961988,0.7265386,0.011927689],"study_design_scores_gemma":[0.0010316661,0.00014494741,0.011059853,0.000052246716,0.000023699085,0.000052781612,0.00014406414,0.00673246,0.000033538156,0.012822103,0.96767104,0.00023162429],"about_ca_topic_score_codex":0.001157957,"about_ca_topic_score_gemma":0.00005741261,"teacher_disagreement_score":0.24113242,"about_ca_system_score_codex":0.00014111547,"about_ca_system_score_gemma":0.00024359365,"threshold_uncertainty_score":0.66257936},"labels":[],"label_agreement":null},{"id":"W1938176792","doi":"10.1111/j.1541-0064.2009.00293.x","title":"Talent, technology and tolerance in Canadian regional development","year":2010,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Openness to experience; Human capital; Creative class; The arts; Immigration; Diversity (politics); Economic growth; Lesbian; Economics; Labour economics; Demographic economics; Sociology; Political science; Gender studies; Creativity; Psychology","score_opus":0.009479471588291878,"score_gpt":0.16992675814513655,"score_spread":0.16044728655684468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1938176792","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":[0.98037374,0.0032015282,0.000002527231,0.008968263,0.00046484845,0.00021683685,0.00018300356,0.000028790628,0.0065604625],"genre_scores_gemma":[0.99686605,0.0011467664,0.00047675625,0.00095482124,0.00007412369,0.00009661294,0.000063675456,0.000035258257,0.00028591094],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972395,0.000007954881,0.0006725162,0.0007418536,0.000040082778,0.0012981365],"domain_scores_gemma":[0.9978525,0.000030286883,0.00017376084,0.00042790946,0.00006719467,0.0014483521],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00035701407,0.00032706623,0.000538075,0.014003727,0.0004987051,0.00012709037,0.00046245143,0.00032389705,0.00023352848],"category_scores_gemma":[0.00006747058,0.00041501955,0.00014264033,0.004023571,0.00089971453,0.0002218683,0.00003598329,0.0004159927,0.000041484982],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002417723,0.000007625024,0.6424716,0.000009139693,0.000053982374,0.000038698443,0.00024147527,0.0000130711505,0.0000041127328,0.35444862,0.00059432746,0.0021149125],"study_design_scores_gemma":[0.00024631646,0.000020760033,0.4047352,0.000015695263,0.0000049875407,0.00003976229,0.0004378273,0.00020825207,0.000004118402,0.02671292,0.5670483,0.00052584294],"about_ca_topic_score_codex":0.9894882,"about_ca_topic_score_gemma":0.9999752,"teacher_disagreement_score":0.566454,"about_ca_system_score_codex":0.00018741623,"about_ca_system_score_gemma":0.00042269097,"threshold_uncertainty_score":0.9998302},"labels":[],"label_agreement":null},{"id":"W1958731411","doi":"10.1111/cjag.12076","title":"Environmental Externalities, Comparative Advantage, and the Location of Production: An Application to the Canadian Dairy Industry","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Canadian Dairy Commission","keywords":"Externality; Production (economics); Relocation; Ceteris paribus; Comparative advantage; Economics; Economic geography; Empirical research; Natural resource economics; Industrial organization; Econometrics; Microeconomics; International trade; Mathematics","score_opus":0.042427578596232314,"score_gpt":0.18738726066223688,"score_spread":0.14495968206600457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1958731411","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":[0.9753208,0.0013607277,0.000043120068,0.020894205,0.00058644067,0.00041155657,0.00026532944,0.000002222132,0.0011155816],"genre_scores_gemma":[0.9978648,0.00008093482,0.00009856555,0.0006574073,0.00069693575,0.00002977733,0.00004740203,0.000014575567,0.0005096324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99799436,0.00005153023,0.0011241781,0.00036690506,0.000013768463,0.00044926643],"domain_scores_gemma":[0.99671084,0.000051261373,0.0010466381,0.00036313987,0.0001650558,0.001663092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012417157,0.0002313644,0.0006550748,0.00034688396,0.0003509821,0.00018738776,0.00062020414,0.00015528788,0.00006008325],"category_scores_gemma":[0.00009374519,0.00017273732,0.00013492617,0.0001965954,0.00035272987,0.00060472154,0.000027037144,0.00035656765,0.00004536235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021944837,0.00004837095,0.064773224,0.000034038294,0.00075204886,0.000009530295,0.023442702,0.14771456,0.000009290311,0.75421536,0.006723403,0.0020580145],"study_design_scores_gemma":[0.0038542408,0.0009325646,0.5436516,0.00010870076,0.00024028623,0.0011629753,0.044712353,0.009149737,0.00009988708,0.06521056,0.3291726,0.0017044846],"about_ca_topic_score_codex":0.6287735,"about_ca_topic_score_gemma":0.99027926,"teacher_disagreement_score":0.68900484,"about_ca_system_score_codex":0.0020928693,"about_ca_system_score_gemma":0.0008099553,"threshold_uncertainty_score":0.7044023},"labels":[],"label_agreement":null},{"id":"W1965651773","doi":"10.1257/aer.97.1.197","title":"Urban Evolutions: The Fast, the Slow, and the Still","year":2007,"lang":"en","type":"article","venue":"American Economic Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":349,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Churning; Urban hierarchy; Economics; Economic geography; Distribution (mathematics); Hierarchy; Econometrics; Labour economics; Market economy; Population; Mathematics","score_opus":0.01730145650790906,"score_gpt":0.22777602247782316,"score_spread":0.2104745659699141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965651773","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043741323,0.6386668,0.0040572374,0.2127708,0.0007487024,0.0020665321,0.00014518913,0.000054615866,0.09774877],"genre_scores_gemma":[0.721611,0.26139095,0.00009099207,0.01485528,0.000348712,0.000097164404,0.000007808966,0.000026122603,0.0015719648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981603,0.000065592314,0.0010127052,0.00040509293,0.000026805841,0.00032947317],"domain_scores_gemma":[0.997605,0.00057795184,0.00092943804,0.00078818056,0.000018362798,0.00008102448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003202544,0.00020343297,0.000765947,0.00006446064,0.000327751,0.00010658164,0.0006477414,0.000026972653,0.00018962522],"category_scores_gemma":[0.00012381244,0.000109280634,0.00038239677,0.00021834378,0.0012713877,0.00012083718,0.00012677451,0.00020458072,0.0007634267],"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":[0.000021249778,0.000016722644,0.008079247,0.00004047579,0.00030314375,7.5877364e-7,0.00027537058,0.000058467092,1.2887699e-7,0.9021736,0.034619402,0.05441145],"study_design_scores_gemma":[0.00030240093,0.000025509325,0.015934873,0.000046099976,0.00007037502,0.000016312495,0.0001963493,0.0031190906,3.2024508e-7,0.011576622,0.96850085,0.0002111874],"about_ca_topic_score_codex":0.0039913473,"about_ca_topic_score_gemma":0.0007789603,"teacher_disagreement_score":0.93388146,"about_ca_system_score_codex":0.00013248494,"about_ca_system_score_gemma":0.00003084208,"threshold_uncertainty_score":0.981256},"labels":[],"label_agreement":null},{"id":"W1966570184","doi":"10.1111/j.1744-7976.2003.tb00175.x","title":"Earnings Mobility of Rural versus Urban Workers in Canada","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Earnings; Demographic economics; Geography; Business; Labour economics; Economics; Finance","score_opus":0.02170226449509544,"score_gpt":0.15051024731647636,"score_spread":0.12880798282138092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966570184","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":[0.98825425,0.00077883643,0.000006251294,0.0012581742,0.0020027554,0.00018432297,0.00026884058,0.000002250022,0.0072443266],"genre_scores_gemma":[0.9987052,0.00014071014,0.00011561198,0.00011578214,0.00018563145,0.000008695011,0.000024267396,0.000027134494,0.0006769725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962835,0.00004388378,0.0023645773,0.00038854234,0.000013117113,0.00090639794],"domain_scores_gemma":[0.9960855,0.00017325532,0.0019513658,0.0003547469,0.00014794212,0.001287164],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000789645,0.00037218197,0.0013769509,0.0006367924,0.000122060366,0.00008146215,0.00065772684,0.00015700018,0.0011104156],"category_scores_gemma":[0.00027966875,0.00039831476,0.00047238608,0.00033438674,0.00013748012,0.00052987994,0.000019920732,0.00042126395,0.00003166376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008781209,0.00002741288,0.84496284,0.00003294268,0.0003896926,0.000030362386,0.0007064167,0.028099634,0.000004550484,0.122654654,0.0028143106,0.00018938126],"study_design_scores_gemma":[0.0033209492,0.0004201104,0.9181913,0.00010485585,0.000064865446,0.00014681961,0.012619446,0.00051396963,0.00006682706,0.00823358,0.055065975,0.0012512757],"about_ca_topic_score_codex":0.9876012,"about_ca_topic_score_gemma":0.9995463,"teacher_disagreement_score":0.11442108,"about_ca_system_score_codex":0.0068918457,"about_ca_system_score_gemma":0.003435295,"threshold_uncertainty_score":0.9998469},"labels":[],"label_agreement":null},{"id":"W1967108745","doi":"10.1111/j.1541-0064.2009.00302.x","title":"Space, place and innovation: a distance‐based approach","year":2010,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Economic geography; Metropolitan area; Context (archaeology); Space (punctuation); Secrecy; Phenomenon; Product (mathematics); Regional science; Business; Geography; Political science; Computer science","score_opus":0.013683750735863736,"score_gpt":0.1776424041880834,"score_spread":0.1639586534522197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967108745","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":[0.9560856,0.0017543093,0.00040554797,0.0062962053,0.00064431626,0.00030312192,0.0007169909,0.00006266315,0.03373123],"genre_scores_gemma":[0.99575704,0.00041083992,0.001789026,0.0010187541,0.00015306503,0.00008303025,0.0001705816,0.00004399873,0.0005736565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978123,0.000010991626,0.0006283851,0.00073518197,0.00004915613,0.00076401],"domain_scores_gemma":[0.99830467,0.0000587682,0.00029564404,0.0005478617,0.000119063356,0.00067400094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038862403,0.00033783694,0.0005436361,0.0068950113,0.00055847486,0.0002588408,0.00036794692,0.00021733079,0.0001795062],"category_scores_gemma":[0.00010455977,0.00039954876,0.00021282212,0.0059119803,0.0009958841,0.00026272083,0.000030347834,0.00034014875,0.000017372071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072475814,0.000015572245,0.20599848,0.000022932372,0.00009799562,0.000008181281,0.00012068855,0.0000573545,0.000007453524,0.79103965,0.0021426626,0.00048176243],"study_design_scores_gemma":[0.00076452486,0.00008435848,0.1116006,0.000015395945,0.000036523357,0.00003157318,0.00094287546,0.0055365,0.000011039901,0.06031918,0.8194231,0.0012343462],"about_ca_topic_score_codex":0.4164896,"about_ca_topic_score_gemma":0.9567152,"teacher_disagreement_score":0.8172804,"about_ca_system_score_codex":0.000054004104,"about_ca_system_score_gemma":0.00011540651,"threshold_uncertainty_score":0.9998456},"labels":[],"label_agreement":null},{"id":"W1970763343","doi":"10.1177/0042098010372686","title":"Changes at the Top: A Cross-country Examination over the 20th Century of the Rise (and Fall) in Rank of the Top Cities in National Urban Hierarchies","year":2010,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Rank (graph theory); Politics; Causation; Order (exchange); Economic geography; Political science; Geography; Regional science; Economy; Political economy; Sociology; Economics; Law; Mathematics","score_opus":0.020461885201608566,"score_gpt":0.23179145489815872,"score_spread":0.21132956969655015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970763343","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":[0.9822259,0.012060945,6.8677747e-7,0.0035241393,0.0002984477,0.00020229563,0.00016115251,0.0000019662907,0.0015244905],"genre_scores_gemma":[0.9967792,0.0017592987,0.0000036950696,0.00017196534,0.000095259136,0.000034318375,0.0000022693166,0.000006862302,0.001147135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914515,0.000037986283,0.00040568775,0.00018923804,0.000086080596,0.00013583095],"domain_scores_gemma":[0.9989807,0.0003321413,0.00035513306,0.0002582171,0.00006388609,0.000009934695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080779847,0.00011415233,0.00029326513,0.00012581685,0.00021960899,0.00003632261,0.00029995697,0.00005215154,0.00003058994],"category_scores_gemma":[0.00025157363,0.00005935324,0.00009992933,0.00025841317,0.00073836866,0.0000842666,0.00026589644,0.000174676,0.0000014907639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012415205,0.000019619623,0.8837252,0.000016617398,0.000088770845,6.764468e-8,0.004162143,0.00006158356,0.00001305994,0.111138254,0.0005277908,0.00023447815],"study_design_scores_gemma":[0.0003088992,0.000007985217,0.9703793,0.000014167244,0.000008447552,2.659385e-7,0.0004564387,0.00040929925,0.0000319794,0.011388853,0.016919885,0.00007447259],"about_ca_topic_score_codex":0.0010253085,"about_ca_topic_score_gemma":0.020040127,"teacher_disagreement_score":0.0997494,"about_ca_system_score_codex":0.000069330505,"about_ca_system_score_gemma":0.00001800824,"threshold_uncertainty_score":0.9978416},"labels":[],"label_agreement":null},{"id":"W1970826468","doi":"10.1177/1078087403253557","title":"Regional Planning Policy and the Location of Employment in the Ile-De-France","year":2003,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Suburbanization; Metropolitan area; Urban sprawl; Context (archaeology); Software deployment; Regional science; Regional policy; Variety (cybernetics); Regionalism (politics); Political science; Economic geography; Economic growth; Economics; Geography; Urban planning; Politics","score_opus":0.034920426214990766,"score_gpt":0.24734989523158837,"score_spread":0.2124294690165976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970826468","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008964594,0.9010108,0.0013197239,0.042648755,0.00005832646,0.00068725605,0.000011813733,0.000007123129,0.04529161],"genre_scores_gemma":[0.91373205,0.082817405,0.00009766995,0.0026908976,0.000053063337,0.00005904592,0.0000042618353,0.000007985723,0.0005376001],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990892,0.00007002433,0.0005108869,0.00016965435,0.000031974192,0.00012825278],"domain_scores_gemma":[0.99926615,0.00012703722,0.00031792177,0.00024299983,0.000021946693,0.00002394183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014474281,0.00008642065,0.00037197385,0.000085309686,0.00005087677,0.000021300306,0.00018247741,0.00002780855,0.000032586067],"category_scores_gemma":[0.00023860225,0.0000582899,0.00009793802,0.00040432738,0.00011297828,0.00005458936,0.000013846936,0.00007792592,0.000018796763],"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":[0.0000038126157,0.00002136873,0.012497585,0.00017980652,0.000024425977,4.710533e-7,0.00045196307,0.00014800079,1.2541955e-7,0.98347014,0.002650232,0.0005520487],"study_design_scores_gemma":[0.0009166001,0.00003520929,0.0124195535,0.00092121563,0.000030744228,0.000018213495,0.00025014608,0.0022876265,0.0000018843309,0.07280129,0.91009647,0.00022106007],"about_ca_topic_score_codex":0.0005819794,"about_ca_topic_score_gemma":0.000030644518,"teacher_disagreement_score":0.91066885,"about_ca_system_score_codex":0.00004578204,"about_ca_system_score_gemma":0.000038281585,"threshold_uncertainty_score":0.23769931},"labels":[],"label_agreement":null},{"id":"W1973622722","doi":"10.1016/j.labeco.2010.08.006","title":"Urban agglomeration, wages and selection: Evidence from samples of siblings","year":2010,"lang":"en","type":"article","venue":"Labour Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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 Toronto","funders":"","keywords":"Economies of agglomeration; Wage; Economics; Residence; Context (archaeology); Econometrics; Selection (genetic algorithm); Fixed effects model; Instrumental variable; Population; Regression; Panel data; Regression analysis; Demographic economics; Labour economics; Geography; Statistics; Microeconomics; Mathematics; Demography","score_opus":0.028517640847072555,"score_gpt":0.2094872968842475,"score_spread":0.18096965603717494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973622722","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":[0.99518734,0.00084450614,0.00072183216,0.0019353403,0.00027275077,0.00008535337,0.00027345718,0.00001787758,0.00066155277],"genre_scores_gemma":[0.9922491,0.0025355562,0.004137982,0.00024438446,0.00034518985,0.000010434789,0.0000211639,0.000020553674,0.00043568082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99862534,0.0000075826133,0.0007218316,0.00045323285,0.000015071233,0.0001769653],"domain_scores_gemma":[0.998903,0.00016775439,0.0005421804,0.00022857709,0.000058209494,0.00010027908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034883845,0.00015483043,0.00047913176,0.00021459833,0.00011356696,0.00014124582,0.00020763156,0.00013103122,0.00067247654],"category_scores_gemma":[0.0001456639,0.00018847191,0.00011633076,0.00014224632,0.00010625708,0.00045174692,0.000060618007,0.00016566327,0.000079961836],"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":[0.00001195681,0.000021701484,0.36960706,0.000010064889,0.00008503339,1.7650255e-7,0.00018319214,0.00021199441,0.0006539742,0.6284447,0.00013534531,0.0006348477],"study_design_scores_gemma":[0.00057972164,0.00009001464,0.44223148,0.000024045383,0.00003254343,0.0000053969866,0.000083559775,0.01207772,0.0028833714,0.4641716,0.07720573,0.00061483734],"about_ca_topic_score_codex":0.0059750592,"about_ca_topic_score_gemma":0.004016546,"teacher_disagreement_score":0.16427307,"about_ca_system_score_codex":0.000033834618,"about_ca_system_score_gemma":0.000033910583,"threshold_uncertainty_score":0.9032542},"labels":[],"label_agreement":null},{"id":"W1973889352","doi":"10.1080/07053436.2007.10707741","title":"Revisiter La Théorie De La Base économique : Vers De Nouveaux Regards Sur Les Liens Entre Tourisme Et Développement Territorial?","year":2007,"lang":"fr","type":"article","venue":"Loisir et Société / Society and Leisure","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.018718658908829133,"score_gpt":0.25937149915992325,"score_spread":0.24065284025109412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973889352","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":[0.8973722,0.011505153,0.01112655,0.065043695,0.0014365556,0.00034147347,0.0005247832,0.000052684474,0.012596945],"genre_scores_gemma":[0.91865516,0.06431578,0.0048154444,0.0034243225,0.0021493651,0.00002490122,0.00011238624,0.000086951,0.00641572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996998,0.00025943285,0.0010030182,0.0008238426,0.000077918805,0.00083775644],"domain_scores_gemma":[0.99752295,0.0010010875,0.00062768685,0.00039418458,0.00009043185,0.00036368484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00549813,0.0004939263,0.0009852817,0.00012264478,0.00038042705,0.00050964276,0.0003225313,0.001106149,0.00064020103],"category_scores_gemma":[0.00015654594,0.0006062029,0.0010732384,0.00024235155,0.0003767735,0.00049638224,0.00018375248,0.000969285,0.000025959002],"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":[0.00012435768,0.0005125607,0.19971733,0.00043272873,0.0016057731,0.00007824083,0.014190562,0.0014840988,0.0000370568,0.72388184,0.033533715,0.02440172],"study_design_scores_gemma":[0.0021411364,0.00012378494,0.035986524,0.00020132598,0.0001805294,0.000022063381,0.004247185,0.0044834083,0.00005129871,0.03873641,0.91292214,0.00090418075],"about_ca_topic_score_codex":0.0034434055,"about_ca_topic_score_gemma":0.0012680191,"teacher_disagreement_score":0.87938845,"about_ca_system_score_codex":0.0009062154,"about_ca_system_score_gemma":0.00036075377,"threshold_uncertainty_score":0.9996389},"labels":[],"label_agreement":null},{"id":"W1973981975","doi":"10.1007/s101090200088","title":"An empirical test of the competing destinations model","year":2002,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"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","funders":"","keywords":"Distance decay; Destinations; Econometrics; Gravity model of trade; Trip distribution; Distribution (mathematics); Spatial distribution; Focus (optics); Computer science; Statistics; Geography; Mathematics; Economics; Economic geography; Physics","score_opus":0.050487873872215726,"score_gpt":0.23815618936992028,"score_spread":0.18766831549770455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973981975","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":[0.9819827,0.0015089378,0.008907668,0.0035600252,0.00028588815,0.00009257295,0.000050311297,0.0000057617694,0.0036061355],"genre_scores_gemma":[0.9991303,0.00014257473,0.00041664307,0.00008648078,0.00014218717,0.0000018969574,6.279703e-7,0.0000089231335,0.00007035437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843,0.000032417433,0.0011825513,0.00013269421,0.00008228687,0.00014001745],"domain_scores_gemma":[0.99814785,0.00015426149,0.0012157712,0.00022251644,0.00014618163,0.00011341919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007293055,0.00009048184,0.00045632527,0.00026232662,0.00011435786,0.000062637744,0.00039796237,0.00008049974,0.000047623285],"category_scores_gemma":[0.00020337026,0.00006766903,0.00040819796,0.00040910576,0.00010035017,0.00014899697,0.000026848333,0.00020676969,0.000009210558],"study_design_candidate":"simulation_or_modeling","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":[0.0000035707503,0.00033707422,0.8847192,0.000017281378,0.000088502995,0.0000014899812,0.00013720953,0.057853103,0.000051752813,0.056316268,0.0003458912,0.00012868558],"study_design_scores_gemma":[0.00025023866,0.000117527554,0.06437348,0.000036447043,0.0000211937,0.000035198373,0.000057836987,0.925056,0.0000038047515,0.008337843,0.0016068899,0.00010355259],"about_ca_topic_score_codex":0.00017151989,"about_ca_topic_score_gemma":0.00002561694,"teacher_disagreement_score":0.8672029,"about_ca_system_score_codex":0.000030441632,"about_ca_system_score_gemma":0.000010950344,"threshold_uncertainty_score":0.2759463},"labels":[],"label_agreement":null},{"id":"W1974612411","doi":"10.1111/j.1467-9787.2012.00772.x","title":"HUMAN CAPITAL LOCATION CHOICE: ACCOUNTING FOR AMENITIES AND THICK LABOR MARKETS*","year":2012,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Statistics Canada","funders":"","keywords":"Multinomial logistic regression; Human capital; Proxy (statistics); Metropolitan area; Differential (mechanical device); Economics; Census; Population; Demographic economics; Logit; Labour economics; Econometrics; Geography; Economic growth; Demography","score_opus":0.03795056309723514,"score_gpt":0.2588413806342362,"score_spread":0.22089081753700102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974612411","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":[0.9917848,0.0022742818,0.0014118686,0.0034067759,0.0002433326,0.000059846538,0.000009698734,0.0000027978092,0.0008065854],"genre_scores_gemma":[0.9973722,0.00017296946,0.0011928634,0.00041277296,0.0005516939,0.0000033095853,0.000001181225,0.000006474479,0.00028654715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99903667,0.000005713539,0.0004832862,0.00014490008,0.00008752966,0.00024191839],"domain_scores_gemma":[0.99870515,0.00008989135,0.0007514813,0.00008586884,0.00023554702,0.00013205883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017643042,0.00008284982,0.0002371083,0.00030887572,0.00031238893,0.00014404653,0.00024494532,0.000038774182,0.000030480458],"category_scores_gemma":[0.00020078984,0.000078143414,0.00009422947,0.0002488548,0.0002883459,0.001223822,0.000037282374,0.00009148752,0.000007584961],"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":[0.000018420891,0.000074931326,0.20386648,0.000029401017,0.00005426349,4.6079e-7,0.0007340243,0.00015152305,0.00036231545,0.7925757,0.001051139,0.0010813344],"study_design_scores_gemma":[0.0006485691,0.00013681663,0.8199383,0.000047050446,0.000025401283,0.000071201684,0.00067615253,0.0021213905,0.00008248015,0.107654996,0.068271376,0.000326248],"about_ca_topic_score_codex":0.00013124407,"about_ca_topic_score_gemma":0.000022548285,"teacher_disagreement_score":0.6849207,"about_ca_system_score_codex":0.00010917979,"about_ca_system_score_gemma":0.00006293155,"threshold_uncertainty_score":0.3186596},"labels":[],"label_agreement":null},{"id":"W1975076910","doi":"10.5539/ibr.v1n2p69","title":"The Role of Trading Cities in the Development of Chinese Business Cluster","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; China; Context (archaeology); Position (finance); Real estate; Industrial organization; Cluster (spacecraft); Business cluster; Economic geography; Marketing; Commerce; Finance; Economics","score_opus":0.057231464111233546,"score_gpt":0.3035530453277937,"score_spread":0.24632158121656017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975076910","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":[0.95716447,0.0006870613,0.0005623103,0.012233633,0.0001182711,0.00012625326,0.000016826622,0.0000023578023,0.029088836],"genre_scores_gemma":[0.9991633,0.00023707545,0.00018702331,0.000051164832,0.00008788382,0.000018566303,0.000013976388,0.0000055045234,0.00023544864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99873894,0.000030545576,0.0006911082,0.0001716701,0.00018858864,0.00017911522],"domain_scores_gemma":[0.9988466,0.00031633303,0.00020642312,0.00019398311,0.00041983003,0.000016840922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019809778,0.000079703896,0.000212203,0.0004497021,0.00012864148,0.00009600901,0.0008518927,0.00003959345,0.00006456966],"category_scores_gemma":[0.0003431568,0.000053049145,0.00006190096,0.0008317223,0.00012550598,0.00015024298,0.000072826035,0.00013048458,0.000015971607],"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":[0.0002548736,0.00045926461,0.4182533,0.00003896122,0.00019946715,0.0000037632658,0.0061358404,0.0025595692,0.00041142537,0.5445152,0.0002882241,0.026880112],"study_design_scores_gemma":[0.00021620652,0.000008784265,0.81491995,0.000019793695,6.917975e-7,0.0000017003862,0.000340717,0.0070082955,0.000064965316,0.16368055,0.013668061,0.00007029908],"about_ca_topic_score_codex":0.00067186437,"about_ca_topic_score_gemma":0.0005753084,"teacher_disagreement_score":0.39666665,"about_ca_system_score_codex":0.000080179096,"about_ca_system_score_gemma":0.00007041681,"threshold_uncertainty_score":0.21632814},"labels":[],"label_agreement":null},{"id":"W1976296737","doi":"10.1068/a35290","title":"Network Structure of an Industrial Cluster: Electronics in Toronto","year":2003,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic geography; Cluster (spacecraft); Industrial organization; Resource (disambiguation); Variety (cybernetics); Business; Sample (material); Electronics; Regional science; Resource dependence theory; Economics; Computer science; Geography; Engineering; Management","score_opus":0.015006596408200758,"score_gpt":0.18577455105020463,"score_spread":0.17076795464200387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976296737","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":[0.9836535,0.0081911255,0.00027260874,0.00020280064,0.000059137707,0.00010496128,0.000020340496,0.0000034938078,0.007492038],"genre_scores_gemma":[0.9983617,0.0007379079,0.00053684163,0.00010833984,0.00008342015,0.000003445766,0.000019300309,0.000009309807,0.00013974108],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990914,0.00002373653,0.00035254014,0.0003084174,0.000012077687,0.0002118577],"domain_scores_gemma":[0.99954486,0.000039352533,0.00020350722,0.00013326752,0.0000016169412,0.000077383855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028276313,0.00013024546,0.0003606096,0.00005182656,0.0000617596,0.000035412842,0.000059847636,0.0001222748,0.00022937382],"category_scores_gemma":[0.0000098873015,0.00014974228,0.00003444632,0.00003059007,0.00004539797,0.00021156218,0.000022995806,0.000117136275,0.0000025945433],"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":[0.00006595359,0.00004774125,0.5924145,0.000012657022,0.00008330423,0.0000026099096,0.0007498799,0.018250247,0.000008997964,0.38727418,0.00017931063,0.00091058],"study_design_scores_gemma":[0.0060376637,0.0009670752,0.095441744,0.00007179797,0.00006345675,0.00003112307,0.002280425,0.052902896,0.00017379204,0.3237609,0.51654285,0.0017263102],"about_ca_topic_score_codex":0.0006607145,"about_ca_topic_score_gemma":0.00051697105,"teacher_disagreement_score":0.5163635,"about_ca_system_score_codex":0.000086298394,"about_ca_system_score_gemma":0.000009175732,"threshold_uncertainty_score":0.6106313},"labels":[],"label_agreement":null},{"id":"W1976461237","doi":"10.1007/s11187-007-9083-9","title":"Firm growth in industrial clusters of the United Kingdom","year":2007,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Manufacturing sector; Entrepreneurship; Cluster (spacecraft); Manufacturing; Economics; Secondary sector of the economy; Econometric analysis; Kingdom; Labour economics; Demographic economics; Business; Econometrics; Economy; Marketing","score_opus":0.08503487204224346,"score_gpt":0.21219517236211125,"score_spread":0.1271603003198678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976461237","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":[0.99025625,0.000053038988,0.001034917,0.0028626053,0.0008188358,0.00019569288,0.000055874832,0.000010094953,0.0047126976],"genre_scores_gemma":[0.99884486,0.00016041788,0.00018207428,0.00043191266,0.00016016686,0.000006198286,0.000028348215,0.000028772947,0.00015724482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979916,0.000013266503,0.0012378179,0.0003897237,0.000019220353,0.00034834628],"domain_scores_gemma":[0.9985604,0.00011483296,0.00079970626,0.00038344474,0.000072245624,0.00006935784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000977277,0.00019570117,0.00056370994,0.00068376947,0.00007527279,0.00004964921,0.00055446813,0.00020975473,0.00007181074],"category_scores_gemma":[0.00017421217,0.00019644994,0.00021156082,0.0009207597,0.00013818427,0.000149496,0.0001594306,0.00019889059,0.00003798534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082919716,0.00009748185,0.5020746,0.00002142134,0.00008166961,0.0000019459962,0.000114126626,0.012291317,0.000005010133,0.48472425,0.00009476826,0.00041049396],"study_design_scores_gemma":[0.0036015587,0.000045374523,0.856829,0.00007342149,0.000033222066,0.000008284385,0.00013336666,0.027418075,0.0003005206,0.056044392,0.05460558,0.00090722064],"about_ca_topic_score_codex":0.018636229,"about_ca_topic_score_gemma":0.0071173427,"teacher_disagreement_score":0.42867985,"about_ca_system_score_codex":0.00024366441,"about_ca_system_score_gemma":0.000064526204,"threshold_uncertainty_score":0.98789877},"labels":[],"label_agreement":null},{"id":"W1977391643","doi":"10.1007/s00168-012-0497-1","title":"Strangers in our midst: the usefulness of exploring polycentricity","year":2012,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Polycentricity; Economic geography; Economies of agglomeration; Metropolitan area; Prima facie; Scale (ratio); Empirical evidence; Economics; Economies of scale; Geography; Economic growth; Political science; Cartography; Microeconomics; Corporate governance","score_opus":0.35240849179778494,"score_gpt":0.3058873407173157,"score_spread":0.046521151080469225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977391643","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":[0.980292,0.0012750344,0.00012976547,0.016834764,0.0001360309,0.00007684462,0.000016426917,0.0000027000597,0.0012364277],"genre_scores_gemma":[0.9986698,0.00080588297,0.00003195558,0.00033814626,0.00007822218,0.000013871926,6.6298617e-7,0.000004473961,0.000056969653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99889445,0.00001919812,0.00045246223,0.00018142437,0.0001157421,0.00033673842],"domain_scores_gemma":[0.9990689,0.00008553427,0.00039839218,0.00031310128,0.00006153453,0.00007251289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023896059,0.000086026615,0.0002600773,0.00022053355,0.00013443541,0.000022241718,0.0007797911,0.000023996356,0.000024200206],"category_scores_gemma":[0.00009735702,0.000057738085,0.0001495864,0.0008509273,0.00040601546,0.00047968203,0.00009034887,0.000091288515,0.000019081455],"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":[0.000041722826,0.00014797157,0.15986449,0.000013403447,0.00004037041,3.818495e-7,0.0019075021,0.0021292123,0.00012502841,0.8337404,0.00050631573,0.0014832132],"study_design_scores_gemma":[0.00035738028,0.000057951645,0.93158156,0.000041386473,0.0000093016815,0.0000052495075,0.002268231,0.0041623297,0.0046482575,0.04654621,0.010022927,0.00029921404],"about_ca_topic_score_codex":0.002290208,"about_ca_topic_score_gemma":0.00007543337,"teacher_disagreement_score":0.7871942,"about_ca_system_score_codex":0.000026511776,"about_ca_system_score_gemma":0.000038897793,"threshold_uncertainty_score":0.34621245},"labels":[],"label_agreement":null},{"id":"W1977968848","doi":"10.1111/j.1754-7121.2007.tb02004.x","title":"Making the least of our differences? Trends in local economic development in Ontario and Michigan, 1990–2005","year":2007,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":36,"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":"Political science; Geography; Economic rent; Local Development; Regional science; Welfare economics; Economy; Humanities; Economics","score_opus":0.06019969425345044,"score_gpt":0.23747451909051961,"score_spread":0.1772748248370692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977968848","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":[0.9828173,0.000118701595,0.00048772222,0.010961876,0.00009651164,0.00006935161,0.000020860432,0.0000021352655,0.005425545],"genre_scores_gemma":[0.99920744,0.000014936971,0.000105690684,0.00016582404,0.00002946882,0.000007329286,0.00004617141,0.000006755476,0.00041639604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987553,0.000007698897,0.0006716862,0.000250791,0.000020295918,0.0002942613],"domain_scores_gemma":[0.99947053,0.0000167561,0.00023021223,0.00012750804,0.000010454808,0.00014455694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063955464,0.00010561691,0.0002471387,0.0007720328,0.000066623295,0.00007831613,0.0001487442,0.000085789135,0.00019955279],"category_scores_gemma":[0.000012026245,0.00011116245,0.000036706206,0.00015960369,0.00004446354,0.00015904802,0.000014509011,0.00013109691,0.00001379014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011237023,0.000023071974,0.6990816,0.0000031113932,0.000023563325,0.0000063535695,0.00042566998,0.00002867669,4.198008e-7,0.2877897,0.000081957005,0.012524614],"study_design_scores_gemma":[0.00024400617,0.000023786319,0.9137759,0.0000064229953,0.0000018059775,0.0000048647066,0.00043417353,0.0025810373,0.0000048837314,0.0018610542,0.080905296,0.00015676265],"about_ca_topic_score_codex":0.2787163,"about_ca_topic_score_gemma":0.99962294,"teacher_disagreement_score":0.7209066,"about_ca_system_score_codex":0.00081499584,"about_ca_system_score_gemma":0.0007976617,"threshold_uncertainty_score":0.7260868},"labels":[],"label_agreement":null},{"id":"W1978870925","doi":"10.4312/dela.21.19.223-231","title":"Specialization in services: a Canadian example","year":2004,"lang":"en","type":"article","venue":"Dela","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tertiary sector of the economy; Population; Agriculture; Per capita; Economic geography; Per capita income; Primary sector of the economy; Service (business); Geography; Private sector; Public sector; Business; Economic growth; Regional science; Economics; Economy","score_opus":0.028665040396157956,"score_gpt":0.18644006453188922,"score_spread":0.15777502413573125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978870925","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":[0.89670026,0.00048544526,0.0033037253,0.0031492799,0.00023020721,0.00012813977,0.00007999463,0.000014832055,0.09590808],"genre_scores_gemma":[0.99845254,0.00012158858,0.00023929418,0.0008345612,0.00008048293,0.0000071055715,0.000057655412,0.000009369951,0.00019738996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932754,0.0000024906462,0.00028753624,0.0002020773,0.0000116180245,0.00016875619],"domain_scores_gemma":[0.9996822,0.000004556366,0.00007862782,0.0001355277,0.000010216438,0.0000888912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013339259,0.000063651365,0.00016576996,0.00031768312,0.00004502002,0.000046714264,0.00011419852,0.000054073418,0.0003176074],"category_scores_gemma":[0.000005031017,0.000080869984,0.00005154984,0.00022868677,0.000010742655,0.000115228904,0.000010708219,0.00004374418,0.0007038717],"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":[0.0000017853882,0.000017843364,0.05967192,0.0000049718487,0.000012412281,0.0000069211837,0.00041811448,0.0076612853,9.753487e-7,0.9319527,0.00004633446,0.00020470482],"study_design_scores_gemma":[0.0008799854,0.00002568053,0.1270508,0.000018190969,0.0000039847246,0.000003404707,0.00012513429,0.012996316,0.000011407849,0.5467064,0.31181347,0.00036525328],"about_ca_topic_score_codex":0.82107127,"about_ca_topic_score_gemma":0.8877782,"teacher_disagreement_score":0.38524637,"about_ca_system_score_codex":0.00026637,"about_ca_system_score_gemma":0.000041400912,"threshold_uncertainty_score":0.90470815},"labels":[],"label_agreement":null},{"id":"W1978991631","doi":"10.1006/juec.2001.2230","title":"The Determinants of Agglomeration","year":2001,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1174,"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":"Economies of agglomeration; Perishability; Pooling; Microfoundations; Proxy (statistics); Product (mathematics); Economics; Microeconomics; Economic geography; Industrial organization; Business; Marketing; Computer science","score_opus":0.0270593323061467,"score_gpt":0.21141723305413015,"score_spread":0.18435790074798344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978991631","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":[0.9915438,0.0020623386,0.0005036986,0.0012462738,0.0005459011,0.00004863597,0.00001537899,0.0000019147913,0.004032049],"genre_scores_gemma":[0.99116534,0.007417072,0.00024338273,0.00010632981,0.00029579934,0.000001272842,0.0000010562959,0.000013118387,0.0007566296],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818915,0.000011008345,0.0014973241,0.00012203787,0.000020424099,0.00016006335],"domain_scores_gemma":[0.9973479,0.00010096653,0.0021764482,0.0002199906,0.000081685146,0.000073046474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008330752,0.00010082063,0.00048294157,0.00014252863,0.00010611032,0.00007479834,0.00033827277,0.000060229504,0.0000661275],"category_scores_gemma":[0.00008626834,0.00008650245,0.00032708788,0.00009533989,0.00007815951,0.00029647164,0.000028949713,0.00010593994,0.00004599893],"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":[0.00012865775,0.00009816329,0.76080614,0.000008563878,0.00027200184,0.0000073131005,0.00021802251,0.0023992015,0.000013355467,0.22230195,0.002407485,0.011339155],"study_design_scores_gemma":[0.0017930184,0.00055799214,0.114639595,0.00003658541,0.00006429541,0.00021988233,0.00028573425,0.062641285,0.00039958933,0.18729882,0.63152957,0.00053362583],"about_ca_topic_score_codex":0.00006983229,"about_ca_topic_score_gemma":0.00018725639,"teacher_disagreement_score":0.64616656,"about_ca_system_score_codex":0.00009993837,"about_ca_system_score_gemma":0.000043616146,"threshold_uncertainty_score":0.35274675},"labels":[],"label_agreement":null},{"id":"W1983019233","doi":"10.2457/srs.37.281","title":"T. Asada and T. Ishikawa eds, Time and Space in Economics, 2007, X, 314 p., 48 illus., ISBN: 978-4-431-45977-4 Springer","year":2007,"lang":"en","type":"article","venue":"Studies in Regional Science","topic":"Regional Economics and Spatial Analysis","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":"University of British Columbia","funders":"","keywords":"Economics; Space (punctuation); Mathematical economics; Engineering physics; Thermodynamics; Positive economics; Physics; Philosophy","score_opus":0.03671824704749516,"score_gpt":0.2551280198340932,"score_spread":0.21840977278659807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983019233","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":[0.9582853,0.021117201,0.0000620317,0.007652973,0.00044456107,0.00019726496,0.000018259885,0.000013986074,0.012208449],"genre_scores_gemma":[0.9568673,0.03895794,0.001334764,0.00088113605,0.00019791946,0.000012746527,0.0000030721567,0.00001924104,0.0017258808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99766326,0.000010957802,0.0007543853,0.0009095136,0.00007374315,0.0005881355],"domain_scores_gemma":[0.9990028,0.00018554005,0.00030923533,0.00027850483,0.000055743138,0.00016815004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002520047,0.00023699089,0.0006365589,0.00068743055,0.00024101112,0.00009976028,0.00035216575,0.000088168636,0.00004682502],"category_scores_gemma":[0.00017268893,0.0002547783,0.00007525703,0.0005764982,0.0015687244,0.0005144458,0.00038954214,0.00018693961,0.000106660635],"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":[0.00010318317,0.00018254817,0.40349492,0.00006039226,0.0001574771,0.000055963483,0.0022746408,0.0011381634,0.00006098596,0.5788893,0.00623861,0.007343816],"study_design_scores_gemma":[0.0016893364,0.00013215395,0.6138824,0.00013801729,0.000015370162,0.00005360165,0.0014158713,0.020304795,0.000045073466,0.11978526,0.24114326,0.0013948332],"about_ca_topic_score_codex":0.0032702342,"about_ca_topic_score_gemma":0.003614189,"teacher_disagreement_score":0.45910403,"about_ca_system_score_codex":0.00034319496,"about_ca_system_score_gemma":0.000059323378,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W1983263607","doi":"10.1093/jeg/lbi012","title":"Agglomeration and growth: a dialogue between economists and geographers","year":2005,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Economic geography; Economics; Neoclassical economics; Microeconomics","score_opus":0.015567874481888818,"score_gpt":0.20128189770778293,"score_spread":0.18571402322589411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983263607","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":[0.9882893,0.0042261775,0.00044488008,0.0040698196,0.00019902518,0.00008730185,0.000075539894,0.000007537042,0.002600443],"genre_scores_gemma":[0.99347705,0.004257264,0.0012868877,0.00028175782,0.00063180015,0.0000037790514,0.000009729103,0.000019021436,0.000032703338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981452,0.000016874359,0.0012497471,0.00032634684,0.00002215707,0.00023964318],"domain_scores_gemma":[0.99831796,0.00009695624,0.0011533943,0.00015247418,0.00004047857,0.00023876196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007596995,0.00020110395,0.00073698646,0.00087836955,0.00011939901,0.00019208473,0.000182168,0.000118009215,0.00013650747],"category_scores_gemma":[0.000027078979,0.00022419622,0.00035426018,0.00009445531,0.00015697641,0.00068557775,0.00005021464,0.00017311277,0.00005006203],"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":[0.00002000567,0.000026269705,0.9343593,0.0000116253805,0.00043866027,0.0000015532544,0.000118256336,0.00028307113,0.0000033359713,0.059578974,0.00037264056,0.0047863144],"study_design_scores_gemma":[0.0017753706,0.00025916588,0.83911365,0.000020149113,0.000096256415,0.000056829445,0.00006145292,0.0025737684,0.000030510282,0.12216483,0.033311896,0.0005360908],"about_ca_topic_score_codex":0.0005052234,"about_ca_topic_score_gemma":0.00017730407,"teacher_disagreement_score":0.095245615,"about_ca_system_score_codex":0.000067935,"about_ca_system_score_gemma":0.000022066173,"threshold_uncertainty_score":0.9142456},"labels":[],"label_agreement":null},{"id":"W1983529802","doi":"10.1177/0042098009353625","title":"Growth and Change in Human Capital across the Canadian Urban Hierarchy, 1996—2001","year":2010,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Statistics Canada","funders":"","keywords":"Human capital; Degree (music); Educational attainment; Pace; Economic geography; Demographic economics; Geography; Hierarchy; Urban hierarchy; Economics; Economic growth; Demography; Population; Sociology","score_opus":0.05476650239076415,"score_gpt":0.25727346485372593,"score_spread":0.2025069624629618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983529802","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":[0.98221904,0.0048855115,7.913107e-7,0.007961296,0.000276814,0.00016025908,0.00013088,0.00000786867,0.004357525],"genre_scores_gemma":[0.99750674,0.0006156898,0.000025989633,0.0007566349,0.00037833408,0.000064533306,0.000011604015,0.000015804691,0.00062469457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987179,0.000011471269,0.0004381042,0.00036999185,0.000029989062,0.0004325238],"domain_scores_gemma":[0.99936426,0.00005710169,0.00016264507,0.0002570278,0.0000311222,0.0001278699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005777142,0.00016333374,0.0004411197,0.00020624012,0.00056502694,0.00012604619,0.00023687338,0.00008160471,0.0000584297],"category_scores_gemma":[0.00009263077,0.00013847263,0.000097799224,0.00018183624,0.0003199949,0.00015051219,0.00011232748,0.00026406682,0.000054103428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015634691,0.000013760247,0.7349365,0.0000069094963,0.000090252135,0.00000545026,0.008403502,5.8103484e-7,0.000004996655,0.2547158,0.0016538266,0.00016688702],"study_design_scores_gemma":[0.00033915823,0.000039914437,0.91475207,0.0000060326756,0.000007960693,0.0000032439448,0.0006227868,0.00026513185,0.0000080350765,0.052205615,0.031447925,0.00030210282],"about_ca_topic_score_codex":0.4986846,"about_ca_topic_score_gemma":0.94606143,"teacher_disagreement_score":0.44737685,"about_ca_system_score_codex":0.00009192254,"about_ca_system_score_gemma":0.000017569768,"threshold_uncertainty_score":0.56467503},"labels":[],"label_agreement":null},{"id":"W1984648252","doi":"10.1111/1467-9787.00253","title":"A Methodology for Estimating Returns to Skills for Canadian Provinces and U.S. States","year":2002,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Wage; Skill mix; Economics; Demographic economics; Control (management); Econometrics; Labour economics; Economic growth","score_opus":0.0944176382351943,"score_gpt":0.28662873591415855,"score_spread":0.19221109767896424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984648252","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":[0.7141622,0.002258013,0.18724959,0.09352271,0.0009066789,0.0006685538,0.0001959504,0.0000068625154,0.0010294996],"genre_scores_gemma":[0.61687106,0.00021202058,0.38082555,0.0014775584,0.00026307476,0.000015573281,0.0000013467773,0.000008520267,0.0003253221],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896264,0.000006824979,0.00048288098,0.0002279694,0.00004675229,0.00027294914],"domain_scores_gemma":[0.99863666,0.0003186379,0.00046700076,0.000079091194,0.00018540349,0.00031318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018449895,0.00007855351,0.0003183106,0.00051100954,0.0002607734,0.000107224725,0.0002868049,0.00003418212,0.000024294277],"category_scores_gemma":[0.0007821837,0.0000717001,0.0001159788,0.000232487,0.00016281303,0.0002845751,0.00002057813,0.000054473985,0.000004316457],"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":[0.00013189476,0.00019505771,0.02473322,0.00012327694,0.00029037203,0.0000118614025,0.006479917,0.017006282,0.0004916116,0.8277949,0.03688996,0.08585163],"study_design_scores_gemma":[0.0008641755,0.00094384956,0.007093558,0.00006112561,0.000027965236,0.00014486797,0.00035721262,0.3733673,0.000121679695,0.39250663,0.22406635,0.0004452677],"about_ca_topic_score_codex":0.004538791,"about_ca_topic_score_gemma":0.009884605,"teacher_disagreement_score":0.43528828,"about_ca_system_score_codex":0.00017371203,"about_ca_system_score_gemma":0.00011601945,"threshold_uncertainty_score":0.68613243},"labels":[],"label_agreement":null},{"id":"W1984947960","doi":"10.1080/00420980123294","title":"The Potential Bias in Producer Service Employment Estimates: The Case of the Canadian Space Economy","year":2001,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Government (linguistics); Official statistics; Service (business); Space (punctuation); Survey data collection; Business; Economics; Marketing; Econometrics; Public economics; Industrial organization; Computer science; Statistics; Mathematics","score_opus":0.06890959090962215,"score_gpt":0.24500189154361535,"score_spread":0.1760923006339932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984947960","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":[0.84985286,0.013424412,0.000012834968,0.12615383,0.00045913734,0.00043727495,0.000044136606,0.000007369403,0.009608153],"genre_scores_gemma":[0.996644,0.0007092818,0.00001810615,0.0007828212,0.00010565248,0.000052431955,0.0000014620773,0.00001217345,0.0016740283],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988806,0.00002023928,0.0005199772,0.00027215568,0.000021913067,0.00028507234],"domain_scores_gemma":[0.9989715,0.00011617607,0.00030904342,0.00047500446,0.00007917094,0.000049109905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006499994,0.00014313722,0.00032482712,0.00010482543,0.0006613707,0.00009156791,0.0003498199,0.000038735252,0.00002875635],"category_scores_gemma":[0.00010464483,0.00008230265,0.00014202259,0.00034294845,0.0001753571,0.000073980984,0.00012717843,0.000121022305,0.00005459802],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029389083,0.00008756472,0.5991313,0.00003690194,0.0012274786,0.00011716806,0.005464191,0.009013953,0.0000015167589,0.363494,0.019933844,0.0014626883],"study_design_scores_gemma":[0.0008920025,0.00007258117,0.14774415,0.000054124495,0.00012190547,0.0001793592,0.0068744402,0.039307483,0.00003843638,0.14342128,0.6606129,0.00068136724],"about_ca_topic_score_codex":0.3363522,"about_ca_topic_score_gemma":0.89466304,"teacher_disagreement_score":0.640679,"about_ca_system_score_codex":0.00024414863,"about_ca_system_score_gemma":0.00006906177,"threshold_uncertainty_score":0.6680671},"labels":[],"label_agreement":null},{"id":"W1989158049","doi":"10.1016/j.habitatint.2014.06.012","title":"New economy jobs and economic health, prosperity in Canada's mid-size urban areas","year":2014,"lang":"en","type":"article","venue":"Habitat International","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Prosperity; Metropolitan area; Economic restructuring; Restructuring; Population; Urban economics; Economic growth; Development economics; Economy; Economics; Geography; Economic geography; Business; Demography","score_opus":0.010854807585355484,"score_gpt":0.19564749243285126,"score_spread":0.18479268484749578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989158049","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":[0.85453355,0.0011859,0.001003498,0.04112926,0.0014482479,0.00035131144,0.00024333531,0.000018335033,0.10008655],"genre_scores_gemma":[0.9965126,0.00013068266,0.00056564884,0.0016390226,0.00029722,0.000025349542,0.000040947536,0.00001652946,0.0007719935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985085,0.000016674883,0.00070995756,0.00047672648,0.000036672533,0.00025143786],"domain_scores_gemma":[0.9991534,0.00009942102,0.00033110756,0.00019446165,0.0000235751,0.00019803952],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044584536,0.00015867483,0.0004278755,0.00016428504,0.000057012774,0.000109952074,0.00026719543,0.000045720353,0.0009933604],"category_scores_gemma":[0.00007541958,0.00019767646,0.00008501624,0.000047683956,0.000029367857,0.00021454586,0.00006583693,0.00011910671,0.00011697242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010394484,0.000013690949,0.7352122,0.00000614098,0.00005259873,8.160765e-7,0.000057396646,0.00042885396,3.0558144e-7,0.25403747,0.0075849392,0.0025951653],"study_design_scores_gemma":[0.0009798798,0.000029551871,0.606606,0.000013081225,0.0000029663117,0.0000067910337,0.000031995536,0.048206363,0.0000056906456,0.08376014,0.26005825,0.00029925184],"about_ca_topic_score_codex":0.8599268,"about_ca_topic_score_gemma":0.9477697,"teacher_disagreement_score":0.25247332,"about_ca_system_score_codex":0.0015444944,"about_ca_system_score_gemma":0.0005576657,"threshold_uncertainty_score":0.9999199},"labels":[],"label_agreement":null},{"id":"W1989681972","doi":"10.1007/s10708-014-9554-x","title":"Evidence of inter-territorial collaborative economic development strategies in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"GeoJournal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Perspective (graphical); Scholarship; Human geography; Local economic development; Political science; Quality of Life Research; Economic growth; Public relations; Public administration; Regional science; Sociology; Economics; Social science; Medicine; Public health","score_opus":0.02648871300436001,"score_gpt":0.20928574640109793,"score_spread":0.18279703339673792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989681972","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":[0.9894214,0.0003240629,0.001720235,0.0005957789,0.0011012536,0.00006762837,0.000013646269,0.0000025569707,0.0067533893],"genre_scores_gemma":[0.99884075,0.000058354453,0.0005852647,0.000055700224,0.00018793241,0.000006727362,0.000004401224,0.000007422025,0.0002534468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985879,0.000019451118,0.00091714936,0.00023758378,0.000033571927,0.00020431078],"domain_scores_gemma":[0.9991548,0.000072509574,0.0005169168,0.00014098638,0.000037466307,0.00007732347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055867375,0.00012316635,0.00045175428,0.00017369573,0.000056123215,0.00007561817,0.00024112183,0.000050693132,0.0007628415],"category_scores_gemma":[0.000034416706,0.00013821051,0.000065605855,0.00007376489,0.00003251918,0.00028791753,0.00004525831,0.00017133786,0.000031163796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020906643,0.000087333756,0.7637754,0.000036315287,0.0003069131,0.0000116919155,0.0025561147,0.02954192,0.000032113512,0.19771126,0.0031029142,0.0026289364],"study_design_scores_gemma":[0.0023060117,0.00034772104,0.62789804,0.00038729105,0.000019851132,0.000014680296,0.0012171107,0.015136503,0.00039863167,0.067715235,0.28340805,0.0011508808],"about_ca_topic_score_codex":0.96099067,"about_ca_topic_score_gemma":0.99846345,"teacher_disagreement_score":0.28030512,"about_ca_system_score_codex":0.0011343169,"about_ca_system_score_gemma":0.0015478361,"threshold_uncertainty_score":0.83525795},"labels":[],"label_agreement":null},{"id":"W1991175035","doi":"10.1002/j.2325-8012.2006.tb00748.x","title":"An SVAR Model of Fluctuations in U.S. Migration Flows and State Labor Market Dynamics","year":2006,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Labor demand; Structural vector autoregression; Demand shock; Amenity; Vector autoregression; Supply and demand; Labour economics; Dynamics (music); Labor mobility; State (computer science); Macroeconomics; Monetary economics; Monetary policy; Wage","score_opus":0.009428342204406987,"score_gpt":0.1894308452399742,"score_spread":0.1800025030355672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991175035","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":[0.9876296,0.00027554162,0.008244825,0.000928638,0.00009561765,0.00007539073,0.00097282784,0.0000059991503,0.001771542],"genre_scores_gemma":[0.99724156,0.00042979425,0.0014786555,0.0000456723,0.00009484341,0.00000448693,0.000037527436,0.000023251312,0.0006441827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852175,0.000019922141,0.0009804522,0.00025564694,0.000020297593,0.00020194335],"domain_scores_gemma":[0.99909383,0.000023161501,0.0005971107,0.00018093169,0.000027279699,0.000077657205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000647,0.00013614795,0.0003916564,0.00038481876,0.00008324806,0.00011096164,0.00016574074,0.00007024144,0.00024291014],"category_scores_gemma":[0.000009918564,0.00015780001,0.000110555375,0.00006657954,0.00004931038,0.00034325288,0.000019156074,0.0001411898,0.000055496977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005445775,0.000116507865,0.32655218,0.000010266219,0.0000827597,0.0000020772557,0.0008498495,0.5811882,0.00009686249,0.089425184,0.00014715162,0.0014744838],"study_design_scores_gemma":[0.0003895449,0.000022846078,0.024966018,0.000004402628,0.0000058047553,0.0000052900514,0.00018132724,0.7702262,0.000003798839,0.2039134,0.00014389669,0.00013749227],"about_ca_topic_score_codex":0.003944095,"about_ca_topic_score_gemma":0.034360893,"teacher_disagreement_score":0.30158615,"about_ca_system_score_codex":0.00023771272,"about_ca_system_score_gemma":0.00006109666,"threshold_uncertainty_score":0.9832595},"labels":[],"label_agreement":null},{"id":"W1992110332","doi":"10.1111/j.0008-3658.2006.00130.x","title":"A spatial analysis of small‐ and medium‐sized information technology firms in Canada and the importance of local connections to institutions of higher education","year":2006,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"Government of Canada","keywords":"Metropolitan area; Urban agglomeration; Business; Cluster (spacecraft); Economic geography; Economies of agglomeration; Regional science; Marketing; Economic growth; Geography; Economics","score_opus":0.006916159996640401,"score_gpt":0.1702354795643553,"score_spread":0.1633193195677149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992110332","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":[0.99206346,0.0017612556,0.0001253138,0.004499975,0.00013333985,0.00021310689,0.00059221435,0.0000031590112,0.00060816435],"genre_scores_gemma":[0.99901,0.0005284406,0.000100457626,0.00020101818,0.000010479287,0.00005223707,0.00007571291,0.000004953408,0.000016654945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986689,0.000011963209,0.0008545685,0.00019658094,0.00003486903,0.00023309793],"domain_scores_gemma":[0.9989624,0.000078341385,0.00044675992,0.00024112432,0.00012359655,0.000147758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017964136,0.00013144048,0.0006149002,0.006114154,0.00010329477,0.000015415786,0.000168067,0.00007904292,0.000029387696],"category_scores_gemma":[0.0000482564,0.00012951557,0.00012698409,0.0053260755,0.00097505975,0.00011367824,0.000026577693,0.00007383328,1.4845138e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012582682,0.0000071923464,0.67079544,0.000016441545,0.00022048267,3.6238535e-7,0.00009153098,0.0012198433,6.5649454e-7,0.32698143,0.000068472655,0.00058557687],"study_design_scores_gemma":[0.00037081566,0.000023472112,0.97953725,0.000014037387,0.00011892111,0.0000013396832,0.0015516323,0.00068405044,0.0000055320293,0.013148246,0.0044026915,0.00014203222],"about_ca_topic_score_codex":0.99958634,"about_ca_topic_score_gemma":0.99999243,"teacher_disagreement_score":0.31383318,"about_ca_system_score_codex":0.00012809521,"about_ca_system_score_gemma":0.0006375245,"threshold_uncertainty_score":0.5455596},"labels":[],"label_agreement":null},{"id":"W1993875518","doi":"10.1111/1475-4762.00106","title":"Relocating resource peripheries to the core of economic geography's theorizing: rationale and agenda","year":2003,"lang":"en","type":"article","venue":"Area","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":193,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Geopolitics; Resource (disambiguation); Dimension (graph theory); Economic geography; Human geography; Contemplation; Sociology; Cultural geography; Economic globalization; Globalization; Environmentalism; Environmental ethics; Social science; Political science; Economic system; Geography; Economics; Epistemology; Politics; Law","score_opus":0.04443022592643083,"score_gpt":0.21558164001379404,"score_spread":0.1711514140873632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993875518","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":[0.9455279,0.0020062474,0.0015325799,0.0035095853,0.00011965057,0.00020550375,0.00010174512,0.000011259903,0.046985514],"genre_scores_gemma":[0.99802786,0.00016678839,0.00059541594,0.0004912207,0.000036822126,0.000021372885,0.000010723804,0.0000110967385,0.00063868583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992316,0.0000113976985,0.00037184163,0.00024115844,0.000016561602,0.00012745836],"domain_scores_gemma":[0.9994056,0.000086795255,0.00020812175,0.00023908349,0.000015199173,0.00004518727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041424538,0.0000911406,0.00023115995,0.00009246951,0.0001513276,0.000047517253,0.00013286501,0.000033026514,0.00022606555],"category_scores_gemma":[0.00008501266,0.00008198921,0.00009625658,0.00009815943,0.00007959961,0.00006872453,0.000034528748,0.000049938557,0.0000487729],"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":[0.000007793969,0.0000105267,0.066725336,0.000005365467,0.00006455341,2.893798e-7,0.0006647991,0.0020765958,0.000012747399,0.92874074,0.0011690565,0.000522187],"study_design_scores_gemma":[0.00041704558,0.00011474986,0.054477256,0.000018656718,0.00002142097,0.000008965357,0.0016551641,0.008476642,0.00016439344,0.16464505,0.7695779,0.00042271716],"about_ca_topic_score_codex":0.000536878,"about_ca_topic_score_gemma":0.00026983372,"teacher_disagreement_score":0.7684089,"about_ca_system_score_codex":0.000025106277,"about_ca_system_score_gemma":0.00001519415,"threshold_uncertainty_score":0.3343423},"labels":[],"label_agreement":null},{"id":"W1994779290","doi":"10.1080/13662710802040853","title":"Specialization of Regions and Universities: The New Versus the Old","year":2008,"lang":"en","type":"article","venue":"Industry and Innovation","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"Marcus och Amalia Wallenbergs minnesfond","keywords":"Productivity; Economic geography; Production (economics); Set (abstract data type); Regression analysis; Regional science; Economics; Demographic economics; Geography; Economic growth; Statistics; Microeconomics; Mathematics","score_opus":0.08222269606789925,"score_gpt":0.23017347796708534,"score_spread":0.1479507818991861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994779290","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":[0.97131664,0.00018030858,0.0012239495,0.0153693585,0.00011182699,0.00005495975,0.00001135025,0.000003722212,0.011727901],"genre_scores_gemma":[0.99556553,0.00030769434,0.000023759574,0.00027180262,0.00015572064,8.904909e-7,0.000009438078,0.0000028524994,0.00366231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996191,0.000005498133,0.00021511006,0.000093903815,0.000015859543,0.000050489893],"domain_scores_gemma":[0.9996192,0.000039320075,0.00019893082,0.000098140634,0.000032062027,0.0000123347345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013185936,0.000044335404,0.00009170862,0.00011617063,0.00018440717,0.00001731055,0.000061000937,0.000081996215,0.000051519506],"category_scores_gemma":[0.000025653939,0.000034131615,0.000016756676,0.0004808206,0.00012201775,0.00013125752,0.000021825066,0.000106048545,0.0000027502265],"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":[0.000011990772,0.000004574382,0.006851617,0.000001349866,0.00002462112,1.8382681e-7,0.00040575015,0.000087966706,0.000004045755,0.98903805,0.0032123954,0.00035745007],"study_design_scores_gemma":[0.001962669,0.00018715342,0.18844426,0.00002426976,0.000039423445,0.000020188021,0.004152121,0.009062705,0.0002051925,0.18771541,0.60781455,0.00037205397],"about_ca_topic_score_codex":0.00063028786,"about_ca_topic_score_gemma":0.000027509092,"teacher_disagreement_score":0.80132264,"about_ca_system_score_codex":0.000019617042,"about_ca_system_score_gemma":0.00002762256,"threshold_uncertainty_score":0.14183295},"labels":[],"label_agreement":null},{"id":"W1995902913","doi":"10.1080/0264206042000305411","title":"Employment and location patterns of advanced services in non-urban Canada","year":2005,"lang":"en","type":"article","venue":"Service Industries Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Industry Canada","keywords":"Metropolitan area; Economies of agglomeration; Descriptive statistics; Business; Regional science; Core (optical fiber); Economic geography; Economic growth; Geography; Economics; Telecommunications; Statistics; Engineering","score_opus":0.014941464135186228,"score_gpt":0.19769539879787099,"score_spread":0.18275393466268475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995902913","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":[0.9901664,0.0007455084,0.00011019754,0.008402946,0.00010059383,0.00006195162,0.000046928748,0.0000019579056,0.0003634899],"genre_scores_gemma":[0.9982668,0.00039744558,0.00008113501,0.0008922172,0.00014306922,0.0000037105503,0.000012167534,0.000009658664,0.00019377479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891865,0.000007749909,0.00067793444,0.000171443,0.00004511221,0.0001791181],"domain_scores_gemma":[0.9991473,0.00002075344,0.0004873061,0.0001249975,0.00013417959,0.00008548558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022358495,0.00010919721,0.00030712353,0.00017383804,0.0000646079,0.00007037786,0.00018079457,0.00007116493,0.00007449373],"category_scores_gemma":[0.000011496237,0.00012059251,0.000021845974,0.00036204187,0.0000113006445,0.00042352086,0.000041508272,0.00020362428,0.000004961629],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003187986,0.000065956825,0.9666028,0.00006912285,0.00009487938,0.0000055578744,0.0009919833,0.017707106,0.000021017153,0.0045411657,0.0003098074,0.009558743],"study_design_scores_gemma":[0.0018499935,0.00009684066,0.90519327,0.00023337876,0.000019931862,0.000031878782,0.003398367,0.020159097,0.0004742602,0.0018780649,0.06616684,0.0004980576],"about_ca_topic_score_codex":0.41760933,"about_ca_topic_score_gemma":0.8057668,"teacher_disagreement_score":0.38815752,"about_ca_system_score_codex":0.00021539372,"about_ca_system_score_gemma":0.00015715772,"threshold_uncertainty_score":0.58626884},"labels":[],"label_agreement":null},{"id":"W1996735240","doi":"10.1093/jeg/lbq016","title":"New economic geography and US metropolitan wage inequality","year":2010,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Metropolitan area; Inequality; Economics; Wage inequality; Economic geography; Wage; Economic inequality; Labour economics; Geography; Mathematics","score_opus":0.01476255361409305,"score_gpt":0.22172023888099762,"score_spread":0.20695768526690458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996735240","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":[0.9821803,0.0023930427,0.0005859449,0.002552878,0.0016745671,0.000117468524,0.00014114211,0.000016165079,0.010338514],"genre_scores_gemma":[0.9940013,0.0013825203,0.0031205618,0.00034048705,0.0009809681,0.000003719218,0.000008829595,0.0000401996,0.0001213974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690807,0.000025390564,0.0020443706,0.00052652566,0.000041682517,0.0004539601],"domain_scores_gemma":[0.9967236,0.00012739762,0.002023505,0.00051267364,0.000045571902,0.0005672348],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013343698,0.00034976818,0.0011917341,0.001591108,0.00016673555,0.0002696475,0.00059180113,0.00021863342,0.0017083336],"category_scores_gemma":[0.000046154262,0.00037829997,0.0011022417,0.00014409282,0.00020238112,0.0006959743,0.00011095119,0.00055581616,0.00024944078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000445977,0.000045195113,0.8124939,0.000008626041,0.0006345124,0.000005211069,0.000050184455,0.00017029252,0.000025718517,0.18311603,0.0018340177,0.0015717078],"study_design_scores_gemma":[0.0021096899,0.00035217527,0.6362321,0.0000135924565,0.00012371528,0.00011567679,0.0001439132,0.0017565041,0.000079320176,0.21216232,0.14603724,0.0008737675],"about_ca_topic_score_codex":0.027528748,"about_ca_topic_score_gemma":0.008764601,"teacher_disagreement_score":0.1762618,"about_ca_system_score_codex":0.0001987452,"about_ca_system_score_gemma":0.00016662512,"threshold_uncertainty_score":0.9998669},"labels":[],"label_agreement":null},{"id":"W1998977556","doi":"10.1007/pl00011468","title":"The development of an intervening opportunities model with spatial dominance effects","year":2001,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":31,"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","funders":"","keywords":"Dominance (genetics); Destinations; Gravity model of trade; Geography; Econometrics; Distance decay; Economic geography; Spatial network; Computer science; Economics; Mathematics; Tourism","score_opus":0.040632925312486114,"score_gpt":0.21824975455284787,"score_spread":0.17761682924036176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998977556","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":[0.92315775,0.0018210589,0.07357997,0.00042755782,0.00021464945,0.00008990068,0.0000042231927,0.0000034362367,0.0007014265],"genre_scores_gemma":[0.9982465,0.00046822766,0.0009865125,0.000019600964,0.00011513237,0.000008108874,0.0000014915842,0.000012021651,0.0001423886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982272,0.0000323305,0.0013186325,0.00014135895,0.00009308684,0.00018740383],"domain_scores_gemma":[0.99797964,0.000104216866,0.0014824262,0.0001748064,0.00013397624,0.00012495404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012464226,0.00012469302,0.0005670375,0.00025424844,0.00015975207,0.000096550975,0.00032656733,0.0000644651,0.0000049047944],"category_scores_gemma":[0.00003347462,0.000083957726,0.00022258413,0.00016241582,0.0001090753,0.00019959258,0.000029454923,0.00015583476,0.0000019919146],"study_design_candidate":"simulation_or_modeling","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":[0.0023179008,0.0011647907,0.34993318,0.00050333864,0.003982192,0.00020163994,0.0029989993,0.120623566,0.00014790529,0.4383617,0.00026492993,0.079499856],"study_design_scores_gemma":[0.0042909775,0.002252258,0.10232664,0.0010401373,0.00015798594,0.0003686394,0.0016808987,0.8115342,0.00017097493,0.028694913,0.0463501,0.0011322679],"about_ca_topic_score_codex":0.0003394479,"about_ca_topic_score_gemma":0.00058779574,"teacher_disagreement_score":0.69091064,"about_ca_system_score_codex":0.000038653172,"about_ca_system_score_gemma":0.000053373486,"threshold_uncertainty_score":0.34236968},"labels":[],"label_agreement":null},{"id":"W2000192806","doi":"10.1162/qjec.2006.121.2.587","title":"Causes of Sprawl: A Portrait from Space","year":2006,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":731,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Urban sprawl; Metropolitan area; Geography; Terrain; Land development; Land use; Economic geography; Cartography; Civil engineering; Engineering","score_opus":0.019586497035262326,"score_gpt":0.1899349475384727,"score_spread":0.17034845050321037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000192806","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":[0.98791194,0.0017757784,0.0013347733,0.0037962594,0.0003782992,0.000064764215,0.00016406293,0.00000399512,0.0045701377],"genre_scores_gemma":[0.99788684,0.00033194505,0.0007720157,0.00012299103,0.00052373647,0.0000015161497,0.000007992113,0.000022576947,0.00033041567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978878,0.000020060967,0.001675451,0.0001926728,0.000024817517,0.00019919334],"domain_scores_gemma":[0.99687606,0.0001290026,0.0025089448,0.000344867,0.0000716699,0.00006946052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006652204,0.00016549705,0.0007615459,0.00023405105,0.00006642548,0.00008096505,0.0004891098,0.0000809174,0.0002835717],"category_scores_gemma":[0.000016074267,0.00014437526,0.00050842116,0.00009888649,0.00012108884,0.00029843915,0.000017931687,0.00016563089,0.00008323527],"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":[0.0001254431,0.00022760895,0.029410884,0.0000110456685,0.00075480295,0.000010682813,0.0007649671,0.008339279,0.00013531091,0.95557976,0.00301996,0.0016202753],"study_design_scores_gemma":[0.0011865525,0.0005294122,0.044462327,0.000026158134,0.00010823523,0.00004602667,0.00058912457,0.0051844115,0.00035602646,0.91195077,0.035162516,0.00039843313],"about_ca_topic_score_codex":0.0043622265,"about_ca_topic_score_gemma":0.0011327188,"teacher_disagreement_score":0.043628965,"about_ca_system_score_codex":0.00008275098,"about_ca_system_score_gemma":0.000056971654,"threshold_uncertainty_score":0.65944105},"labels":[],"label_agreement":null},{"id":"W2001120687","doi":"10.1177/0160017608325594","title":"Assessing the Effectiveness of Human Capital Investments on the Regional Unemployment Rate in the United States: 1990 and 2000","year":2008,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Unemployment; Economics; Human capital; Investment (military); Per capita; Labour economics; Population; Net migration rate; Demographic economics; Economic growth; Population growth; Demography","score_opus":0.10987670505898858,"score_gpt":0.3255073965403297,"score_spread":0.2156306914813411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001120687","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":[0.9637813,0.0043716026,0.00003857672,0.029318435,0.00007572885,0.00034766216,0.000014754091,0.0000032222292,0.00204874],"genre_scores_gemma":[0.968515,0.024795873,0.00001038447,0.006478389,0.000036969046,0.00006720489,0.00003430172,0.0000059762456,0.000055925917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99852926,0.00017165378,0.000543289,0.00034097987,0.00023619548,0.0001786386],"domain_scores_gemma":[0.9983535,0.00083229435,0.00040494092,0.00026486127,0.000100382844,0.000044066004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047393697,0.00013483076,0.0002764433,0.00022449909,0.00036649176,0.00010084251,0.0008573603,0.000023492055,0.00004805122],"category_scores_gemma":[0.0002162289,0.00007367052,0.00012647868,0.00068159366,0.00093536015,0.0002721904,0.00008047467,0.0001530915,0.0000240361],"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":[0.000008854664,0.00010298569,0.019492965,0.000043457858,0.00005236076,0.00000404749,0.00030310085,0.000531285,0.000021096526,0.97879773,0.0004965086,0.00014558155],"study_design_scores_gemma":[0.00047455443,0.00011120316,0.7304626,0.0014168471,0.000018635865,0.000056381672,0.00026564236,0.0053983266,0.000028651473,0.2089152,0.052550085,0.00030188024],"about_ca_topic_score_codex":0.0019857634,"about_ca_topic_score_gemma":0.000044009175,"teacher_disagreement_score":0.76988256,"about_ca_system_score_codex":0.00021094274,"about_ca_system_score_gemma":0.000096312484,"threshold_uncertainty_score":0.34463733},"labels":[],"label_agreement":null},{"id":"W2002405951","doi":"10.3138/cpp.39.supplement1.s41","title":"Trends in Population Growth Inequality across Subnational Jurisdictions in Canada","year":2013,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Political science; Geography; Humanities; Art","score_opus":0.02965511801496964,"score_gpt":0.237158009932558,"score_spread":0.20750289191758836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002405951","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":[0.7384107,0.0009237136,0.000017733653,0.24548212,0.0006455399,0.00012997934,0.002538916,0.000004752937,0.01184652],"genre_scores_gemma":[0.9898092,0.00031466348,0.00003257954,0.003189604,0.00040121216,0.00007400499,0.0007647153,0.000026304479,0.0053877034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99704283,0.00005812514,0.0011813381,0.0005219358,0.00006744034,0.0011283103],"domain_scores_gemma":[0.9984681,0.000062115796,0.00032223394,0.0003075081,0.000099067205,0.00074095395],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000502872,0.00023350438,0.00053396163,0.0027934148,0.00019155005,0.00028806273,0.000344456,0.00022153044,0.0030277711],"category_scores_gemma":[0.00028540217,0.0003504235,0.00014576278,0.0025925322,0.00007457765,0.00092096714,0.000043682106,0.000320658,0.00019374742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[5.469457e-7,0.000023171851,0.5975632,0.000006809322,0.000023872017,0.0000042816996,0.0001263397,0.00033422132,3.069998e-8,0.3847719,0.003947209,0.013198369],"study_design_scores_gemma":[0.0003251956,0.0000068466,0.885332,0.000009639864,0.0000018076055,0.000003147067,0.00006731225,0.02395834,9.7338045e-8,0.026354255,0.0636378,0.00030355298],"about_ca_topic_score_codex":0.9999905,"about_ca_topic_score_gemma":0.99999475,"teacher_disagreement_score":0.35841766,"about_ca_system_score_codex":0.015247948,"about_ca_system_score_gemma":0.005426073,"threshold_uncertainty_score":0.9998948},"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":"W2002876726","doi":"10.1111/j.1468-2257.2007.00354.x","title":"Voting with Their Feet: Jobs versus Amenities","year":2007,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Pork Development Board","funders":"","keywords":"Amenity; Geography; Population; Demographic economics; Rural area; Economies of agglomeration; Variable (mathematics); Socioeconomics; Economic geography; Economics; Demography; Economic growth; Political science; Sociology","score_opus":0.066745512087849,"score_gpt":0.20315592236695135,"score_spread":0.13641041027910233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002876726","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":[0.96786433,0.0019441812,0.0018981982,0.00116013,0.00017916928,0.00009436289,0.00004990456,0.000023921046,0.02678582],"genre_scores_gemma":[0.99866194,0.00029106092,0.00014384145,0.00043585087,0.00029553735,0.000010425693,0.000012204063,0.000013374222,0.00013577449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993096,0.0000025173208,0.00021370285,0.00022223943,0.000017653188,0.0002343026],"domain_scores_gemma":[0.9996335,0.000045546814,0.00013272766,0.000086751745,0.000014630249,0.00008687696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018995762,0.0001119774,0.0002268089,0.00014754308,0.00011481171,0.00005646811,0.000078346384,0.000047345682,0.00006826282],"category_scores_gemma":[0.00000991048,0.00010063346,0.00005277272,0.0001104255,0.000057526937,0.00014627703,0.000028344977,0.00006379962,0.000029227373],"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":[0.00021942811,0.000040405474,0.2062572,0.000039326937,0.0001867446,0.000012062564,0.0024640737,0.0000024913707,0.0000078046705,0.78285027,0.00010698425,0.007813191],"study_design_scores_gemma":[0.008447114,0.002164891,0.79882836,0.000108089866,0.000106976295,0.000044646193,0.0065050176,0.008633821,0.00091558805,0.070794165,0.1005376,0.0029137074],"about_ca_topic_score_codex":0.0013982705,"about_ca_topic_score_gemma":0.0015183688,"teacher_disagreement_score":0.7120561,"about_ca_system_score_codex":0.00002139126,"about_ca_system_score_gemma":0.0000035512778,"threshold_uncertainty_score":0.41037133},"labels":[],"label_agreement":null},{"id":"W200397634","doi":"","title":"La Redistribution Intrametropolitaine De L'emploi Des Services Superieurs Dans Les Quatre Plus Grandes Metropoles Canadiennes, 1981-1996","year":2004,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.021776538009627623,"score_gpt":0.22046046399990865,"score_spread":0.19868392599028104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W200397634","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":[0.95140654,0.022752985,0.0063088145,0.016251376,0.0007180107,0.00008419816,0.0005312037,0.0000047368276,0.0019421612],"genre_scores_gemma":[0.9940565,0.0028217898,0.0021232066,0.00029683844,0.00042370716,0.0000028414331,0.000034118773,0.000024143363,0.00021682885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99714184,0.000066190434,0.0010064914,0.00048424146,0.00017429878,0.0011269491],"domain_scores_gemma":[0.9966154,0.0001042924,0.0007954691,0.00027189625,0.00042397526,0.0017889835],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0019666322,0.00030815398,0.0006602123,0.0012649773,0.0011256405,0.00047528028,0.0011499076,0.00022965857,0.00015513462],"category_scores_gemma":[0.0002950906,0.0003486701,0.00041821168,0.0014669474,0.00470717,0.0010500391,0.00004079813,0.00045925286,0.000016615168],"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":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000031195243,0.000052815674,0.16384348,0.00008578965,0.00017294017,0.00032921208,0.0044343947,0.013595624,0.000059332895,0.81201816,0.00033539577,0.005041677],"study_design_scores_gemma":[0.0026032997,0.00085201685,0.3371375,0.0011136478,0.00028498255,0.0041413005,0.031012973,0.01086116,0.0003031894,0.38430467,0.22571138,0.0016738955],"about_ca_topic_score_codex":0.80266094,"about_ca_topic_score_gemma":0.895733,"teacher_disagreement_score":0.42771345,"about_ca_system_score_codex":0.009285705,"about_ca_system_score_gemma":0.005943522,"threshold_uncertainty_score":0.9998965},"labels":[],"label_agreement":null},{"id":"W2004039679","doi":"10.1631/jzus.2007.a0164","title":"A model of regional economic development with increasing returns","year":2006,"lang":"en","type":"article","venue":"Journal of Zhejiang University. Science A","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":"University of Waterloo","funders":"","keywords":"Economics; Returns to scale; Econometrics; Capital (architecture); Scale (ratio); Constant (computer programming); Population; Value (mathematics); Argument (complex analysis); Renting; Path (computing); Mathematical economics; Microeconomics; Mathematics; Production (economics); Geography; Computer science","score_opus":0.028042559222488116,"score_gpt":0.1812311320615413,"score_spread":0.15318857283905318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004039679","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":[0.9853733,0.00008258316,0.005475566,0.00066492555,0.000040422296,0.000029568164,0.000008543578,0.0000026870484,0.008322407],"genre_scores_gemma":[0.9851577,0.00004258434,0.014218539,0.000034139277,0.00004035866,5.3079447e-8,9.364927e-7,0.000004944361,0.0005007435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991075,0.0000070785245,0.00045532815,0.00018287773,0.000077691446,0.00016956788],"domain_scores_gemma":[0.9986859,0.000026808935,0.00096079527,0.000121554425,0.00011731709,0.000087606844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082315964,0.00008455109,0.00031253102,0.000739825,0.00015003703,0.00003922174,0.00042487626,0.000033513912,0.00002726207],"category_scores_gemma":[0.000011975987,0.00008456433,0.0001139938,0.00030473972,0.00027869781,0.00064932404,0.00004899467,0.00008560554,0.000011386906],"study_design_candidate":"simulation_or_modeling","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":[0.00035269186,0.00019620406,0.12266969,0.000019327128,0.00018505024,0.00004111311,0.0009635272,0.18702018,0.0016318682,0.6858363,0.0005939288,0.0004901069],"study_design_scores_gemma":[0.0062413597,0.0008271486,0.25731635,0.00037749592,0.00017543367,0.00047844046,0.0033909199,0.59069467,0.0027987242,0.08496573,0.050868053,0.0018657034],"about_ca_topic_score_codex":0.000748595,"about_ca_topic_score_gemma":0.00033710615,"teacher_disagreement_score":0.6008706,"about_ca_system_score_codex":0.0004449889,"about_ca_system_score_gemma":0.00051148166,"threshold_uncertainty_score":0.34484333},"labels":[],"label_agreement":null},{"id":"W2005405040","doi":"10.1111/0022-4146.00195","title":"The Impact of Agglomeration Economies on Estimated Demand Thresholds: An Extension of Wensley and Stabler","year":2000,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":22,"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":"Economies of agglomeration; Rural area; Economics; Economic geography; Geography; Econometrics; Demographic economics; Economic growth","score_opus":0.05008837376838683,"score_gpt":0.2819025431555267,"score_spread":0.2318141693871399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005405040","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":[0.99686944,0.0011094651,0.0000830653,0.000821955,0.00004658979,0.00004514439,0.000011644594,0.0000012573166,0.0010114111],"genre_scores_gemma":[0.995926,0.0036126599,0.00028895863,0.000042188844,0.000042799224,5.3858827e-7,9.74532e-7,0.0000045072243,0.000081337545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988676,0.0000135115915,0.00070309895,0.00017928696,0.00008927134,0.00014725678],"domain_scores_gemma":[0.9985405,0.000099485194,0.00090655254,0.00017938705,0.00016842362,0.00010561105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013883986,0.000091084905,0.0003402162,0.00024091614,0.00019427168,0.000079660735,0.0002694994,0.000035271707,0.00009801458],"category_scores_gemma":[0.0000688488,0.00006127081,0.00014984675,0.0002380445,0.00048719987,0.0006003081,0.000017698563,0.00008004553,0.000005162038],"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":[0.0014099661,0.0006363204,0.25276342,0.00002689285,0.00042117736,0.000009355185,0.0010650501,0.36258227,0.004907238,0.33591047,0.0020053855,0.038262468],"study_design_scores_gemma":[0.0008222638,0.0015720638,0.77121794,0.00009195553,0.000019588866,0.00009350118,0.00010063732,0.13956192,0.0004924344,0.08416408,0.0016240616,0.00023952841],"about_ca_topic_score_codex":0.00041404535,"about_ca_topic_score_gemma":0.0000406015,"teacher_disagreement_score":0.51845455,"about_ca_system_score_codex":0.00007793486,"about_ca_system_score_gemma":0.00010335804,"threshold_uncertainty_score":0.2498551},"labels":[],"label_agreement":null},{"id":"W2005676076","doi":"10.1080/02690940701416727","title":"The Growing Localness of the Canadian City, or, On the Continued (Ir)relevance of Economic Base Theory","year":2007,"lang":"en","type":"article","venue":"Local Economy The Journal of the Local Economy Policy Unit","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nipissing University; University of British Columbia","funders":"","keywords":"Argument (complex analysis); Relevance (law); Economics; Production (economics); Economic geography; Economic base analysis; Neoclassical economics; Political science; Macroeconomics; Law","score_opus":0.027444963197829308,"score_gpt":0.23226595518397927,"score_spread":0.20482099198614998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005676076","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":[0.6217997,0.002486461,0.020328475,0.2057025,0.0028804832,0.001993645,0.00040689253,0.000023377752,0.14437847],"genre_scores_gemma":[0.9889737,0.00025419367,0.000017178905,0.008259471,0.0006172852,0.000013099892,0.0000015517146,0.000057721092,0.0018058366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952252,0.00038172567,0.003023263,0.0003878402,0.00009844834,0.0008835438],"domain_scores_gemma":[0.9905435,0.0036313562,0.0036788944,0.001599579,0.0001993298,0.0003473462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008224257,0.00049603416,0.0011977081,0.00044498415,0.0012605524,0.00019306672,0.0039918134,0.00025532747,0.0003560866],"category_scores_gemma":[0.0006021854,0.00024364248,0.0012313263,0.00056798675,0.0024431644,0.00052034017,0.00037995205,0.0010818358,0.00008423043],"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":[0.00043701305,0.00006389961,0.002628324,0.000021648033,0.0006857112,0.0000025670486,0.00033344244,0.034491304,0.0000024264857,0.9543412,0.0011097043,0.0058828034],"study_design_scores_gemma":[0.0020835411,0.00035996147,0.0077094636,0.0001854755,0.00022264356,0.00013108387,0.0026976021,0.027197238,0.0023562538,0.58277786,0.37353498,0.0007439191],"about_ca_topic_score_codex":0.054382868,"about_ca_topic_score_gemma":0.16513935,"teacher_disagreement_score":0.37242526,"about_ca_system_score_codex":0.0012274961,"about_ca_system_score_gemma":0.0012786308,"threshold_uncertainty_score":0.9935452},"labels":[],"label_agreement":null},{"id":"W2005839891","doi":"10.7202/020312ar","title":"Les sites industriels dans l’agglomération québécoise","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Business; Metropolitan area; Economic geography; Geography","score_opus":0.01848062988460044,"score_gpt":0.1916903737893396,"score_spread":0.17320974390473914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005839891","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":[0.9283619,0.0010324959,0.0051910738,0.009209672,0.00007163449,0.00011450358,0.000040145824,0.00006351552,0.055915043],"genre_scores_gemma":[0.99410975,0.00050960755,0.0003756793,0.0010245969,0.00026376115,0.00003209483,0.000037132624,0.000029239092,0.0036181186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986542,0.00001979564,0.0005680756,0.0004053986,0.000035691617,0.00031683827],"domain_scores_gemma":[0.9990833,0.0000745669,0.00030805924,0.0003143528,0.00003901464,0.00018072689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036554434,0.00019711374,0.00036215084,0.00051502226,0.0002815848,0.00010211361,0.00027679777,0.00026195962,0.00038992497],"category_scores_gemma":[0.000116127725,0.00023113757,0.0003299897,0.00049840973,0.00072816486,0.00026097195,0.000023221986,0.00027239797,0.00031509373],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016692693,0.00009120264,0.24548519,0.0000066358953,0.00016207849,0.0000044732137,0.00102125,0.001259201,0.000095663236,0.74078757,0.0036417833,0.007428238],"study_design_scores_gemma":[0.0009319616,0.000104876104,0.14641505,0.000013323073,0.00006790208,0.000020364265,0.00041418007,0.012062253,0.00031923896,0.037659638,0.8010426,0.00094861235],"about_ca_topic_score_codex":0.08189391,"about_ca_topic_score_gemma":0.19921207,"teacher_disagreement_score":0.79740083,"about_ca_system_score_codex":0.00044539137,"about_ca_system_score_gemma":0.000103772625,"threshold_uncertainty_score":0.9425517},"labels":[],"label_agreement":null},{"id":"W2007131280","doi":"10.1177/089124240101500402","title":"Yes, But...: Questioning the Conventional Wisdom about Economic Development","year":2001,"lang":"en","type":"article","venue":"Economic Development Quarterly","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"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":"Local economic development; Local Development; Economics; Policy making; Public economics; Economic growth; Sociology; Regional science","score_opus":0.02008793928927426,"score_gpt":0.20831454363989274,"score_spread":0.18822660435061847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007131280","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":[0.9540094,0.0012380444,0.01005379,0.003573026,0.0020294422,0.00046684686,0.00006940197,0.00011685275,0.028443182],"genre_scores_gemma":[0.9829338,0.00024690607,0.004702467,0.00065555883,0.0005623885,0.00023947928,0.00023762765,0.000070814014,0.010350953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962093,0.000035395504,0.0020620117,0.0009508226,0.00006261726,0.0006798264],"domain_scores_gemma":[0.99819547,0.00010486423,0.00090611615,0.0005353976,0.00003137051,0.00022675845],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012518702,0.00045283002,0.0007464749,0.00036277936,0.00072603114,0.0004330357,0.0007633209,0.00016279586,0.0036723793],"category_scores_gemma":[0.000011606127,0.0004665826,0.00030081545,0.00009737874,0.00016550922,0.00053996587,0.000083752304,0.00024271764,0.016595023],"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":[0.000098140015,0.00020460482,0.12014788,0.000032027212,0.0014089135,0.000021589885,0.0035227959,0.0029937895,0.000008528699,0.81453115,0.007800051,0.049230523],"study_design_scores_gemma":[0.001121144,0.00006604812,0.10095183,0.000034296256,0.000016340098,0.00004441492,0.00039764657,0.006201512,0.000046881203,0.019275801,0.8708869,0.0009571405],"about_ca_topic_score_codex":0.0010386002,"about_ca_topic_score_gemma":0.0018410967,"teacher_disagreement_score":0.8630869,"about_ca_system_score_codex":0.0013435711,"about_ca_system_score_gemma":0.0004536653,"threshold_uncertainty_score":0.99977857},"labels":[],"label_agreement":null},{"id":"W2008873309","doi":"10.1111/1541-0064.t01-1-00002","title":"The changing geography of the Canadian manufacturing sector in metropolitan and rural regions, 1976–1997","year":2003,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Urban hierarchy; Economic geography; Rural area; Geography; Manufacturing sector; Manufacturing; Hierarchy; Demographic economics; Economic growth; Business; Labour economics; Economics; Political science; Population; Demography; Sociology","score_opus":0.009667438469319395,"score_gpt":0.16561269109910062,"score_spread":0.15594525262978123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008873309","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":[0.9750706,0.010898502,0.000002590517,0.00485095,0.00060353684,0.0003477672,0.00042476493,0.000011891337,0.0077893916],"genre_scores_gemma":[0.99543643,0.0037620931,0.000032698114,0.0004633597,0.00004841188,0.000051470513,0.000017746203,0.000035482914,0.00015233233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973327,0.000062344974,0.000730978,0.00045951924,0.00006965626,0.0013448205],"domain_scores_gemma":[0.9980596,0.00012336725,0.0003304076,0.00065108686,0.000056035464,0.0007795263],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007089338,0.00033439326,0.00052863295,0.0058959196,0.0015984895,0.0002104003,0.00059650734,0.0001718444,0.000044046694],"category_scores_gemma":[0.0001235127,0.0002838685,0.0004582615,0.00344404,0.0013354652,0.00017659433,0.00004259302,0.0002919394,0.000003401149],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002835692,0.00000442394,0.48119786,0.000012868481,0.00015003528,0.0000063693165,0.00029290403,0.000022018463,3.9577967e-7,0.5175657,0.00041264226,0.00033188553],"study_design_scores_gemma":[0.00050636026,0.000055450597,0.6325033,0.00006755642,0.00004586142,0.00003642872,0.011857035,0.000113249436,0.00005065429,0.137347,0.21657786,0.00083929056],"about_ca_topic_score_codex":0.9882572,"about_ca_topic_score_gemma":0.9998301,"teacher_disagreement_score":0.38021874,"about_ca_system_score_codex":0.00039485557,"about_ca_system_score_gemma":0.00019624781,"threshold_uncertainty_score":0.9999614},"labels":[],"label_agreement":null},{"id":"W2009114792","doi":"10.2139/ssrn.2403830","title":"City Size Distribution in China: Are Large Cities Dominant?","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"China; Distribution (mathematics); Geography; Economic geography; Mathematics; Archaeology","score_opus":0.007826476691778127,"score_gpt":0.19148011585312277,"score_spread":0.18365363916134464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009114792","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":[0.95076615,0.0018427189,0.040482603,0.0037764604,0.00021575997,0.00007001738,0.00007770777,0.00001049947,0.0027581146],"genre_scores_gemma":[0.9940457,0.0041970876,0.0000198015,0.00011814408,0.00027463993,0.0000061061005,0.000020072312,0.000015448957,0.0013029993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99758494,0.0000334913,0.0006359343,0.0002852623,0.000042456708,0.0014178987],"domain_scores_gemma":[0.9991435,0.0000544463,0.0005243959,0.00017711816,0.000026491547,0.00007404531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026646473,0.00015779516,0.00047192813,0.000114289964,0.00020382604,0.000091813876,0.00025764696,0.00009866101,0.00013659906],"category_scores_gemma":[0.00023964464,0.00016625287,0.00023723667,0.00020486019,0.00003692136,0.00022934227,0.000041693216,0.00086903863,0.000098590615],"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":[0.000022431328,0.000062127416,0.1603583,0.0000032624296,0.000060649385,0.0000011289246,0.000046795223,0.000113627684,0.0000021013634,0.8385875,0.00009799107,0.00064403773],"study_design_scores_gemma":[0.0008780702,0.000084789914,0.16790383,0.00001101381,0.000007631266,0.000028219603,0.00021745628,0.0047079166,0.000006953571,0.8114494,0.014478611,0.0002260872],"about_ca_topic_score_codex":0.0008651383,"about_ca_topic_score_gemma":0.0070297653,"teacher_disagreement_score":0.04327958,"about_ca_system_score_codex":0.0009576378,"about_ca_system_score_gemma":0.00013068727,"threshold_uncertainty_score":0.6779595},"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":"W2009133435","doi":"10.1068/a34146","title":"Risk, Activity Modularization, Sourcing, and Economic Geography","year":2002,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","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":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Transaction cost; Economic geography; Production (economics); Portfolio; Control (management); Business; Economics; Industrial organization; Microeconomics; Finance","score_opus":0.012976571965424908,"score_gpt":0.16334679727218762,"score_spread":0.15037022530676272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009133435","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":[0.9807751,0.006068097,0.0036025117,0.0014033255,0.000051248928,0.00010742091,0.000056469125,0.00001585338,0.007919937],"genre_scores_gemma":[0.99262166,0.006058096,0.00035884898,0.0001129058,0.000091922564,0.000012275386,0.000010156091,0.000014940698,0.0007191827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989812,0.000016423737,0.00026971585,0.00051411445,0.000011849923,0.00020672985],"domain_scores_gemma":[0.99935454,0.000059134225,0.00027900646,0.00016434818,0.0000018126933,0.00014118574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002502588,0.00018747147,0.00035800692,0.00017337651,0.0002985516,0.00014882402,0.00005966298,0.00009583102,0.00032055195],"category_scores_gemma":[0.000008450749,0.00022129802,0.00006541669,0.000025318232,0.00012465262,0.0002717689,0.000067217254,0.00013612166,0.00007943842],"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":[0.000008562338,0.00002586037,0.97361475,0.000010563539,0.00012540817,0.0000017697342,0.000522542,0.0024140377,0.0000017656856,0.021119712,0.0002911857,0.0018638625],"study_design_scores_gemma":[0.0009301691,0.00011062067,0.48485383,0.0000128356905,0.00004865651,0.000012580512,0.00015396035,0.34049752,0.000016265025,0.02367348,0.14899735,0.0006927167],"about_ca_topic_score_codex":0.00063337805,"about_ca_topic_score_gemma":0.000018632696,"teacher_disagreement_score":0.4887609,"about_ca_system_score_codex":0.000030147079,"about_ca_system_score_gemma":0.0000016101934,"threshold_uncertainty_score":0.9024271},"labels":[],"label_agreement":null},{"id":"W2009887167","doi":"10.1007/s00168-010-0387-3","title":"Optimizing subsidies for the location of distribution centers","year":2010,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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 New Brunswick","funders":"Ministry of Education, India; Ministry of Earth Sciences; Ford Motor Company","keywords":"Planner; Subsidy; Revenue; Distribution (mathematics); Microeconomics; Economics; Set (abstract data type); Social planner; Business; Computer science; Finance; Market economy; Mathematics","score_opus":0.10776569036786826,"score_gpt":0.2897561052051425,"score_spread":0.18199041483727424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009887167","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":[0.88903004,0.0019587472,0.04255887,0.064893894,0.00036931352,0.00029935242,0.00012989544,0.000006960291,0.00075294933],"genre_scores_gemma":[0.9989145,0.0004888714,0.00024150925,0.00021887144,0.000052204345,0.000010794229,0.0000073848278,0.000002850498,0.00006302635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993225,0.000003902283,0.00030942805,0.00015949017,0.00005988851,0.00014483844],"domain_scores_gemma":[0.99885404,0.0001709906,0.00041862522,0.00025413538,0.00027262868,0.00002958292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014181748,0.000056141955,0.0001482451,0.000060010974,0.00024780462,0.000028362423,0.0005502441,0.000021811176,0.000010435047],"category_scores_gemma":[0.00022238289,0.000036688994,0.00011559004,0.0004030835,0.0008640008,0.00016415522,0.000045720342,0.00005630612,0.0000044796166],"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":[0.000024467072,0.000026907219,0.0018489957,0.000009598838,0.000027538159,1.7776006e-8,0.00020441243,0.0031729597,0.0008422611,0.99226207,0.0008120277,0.0007687669],"study_design_scores_gemma":[0.00062627345,0.00025296517,0.20461364,0.000066302986,0.000042456828,0.0000070318943,0.00084422115,0.30580965,0.019025313,0.36152345,0.10669038,0.00049834733],"about_ca_topic_score_codex":0.0006112751,"about_ca_topic_score_gemma":0.00011441799,"teacher_disagreement_score":0.6307386,"about_ca_system_score_codex":0.000009089205,"about_ca_system_score_gemma":0.000044720655,"threshold_uncertainty_score":0.3183447},"labels":[],"label_agreement":null},{"id":"W2012038061","doi":"10.1007/s00168-011-0448-2","title":"Human capital drift up the urban hierarchy: veterinarians in Western Canada","year":2011,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"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 Saskatchewan","funders":"","keywords":"Attractiveness; Rural area; Supply and demand; Urban hierarchy; Human capital; Population; Business; Matching (statistics); Livestock; Hierarchy; Economic growth; Labour economics; Economics; Geography; Market economy; Political science","score_opus":0.15845396906264902,"score_gpt":0.2731639061521917,"score_spread":0.11470993708954269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012038061","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":[0.9813692,0.00033788965,0.000029862973,0.012818145,0.00013392603,0.00008882801,0.000022321,0.000003379438,0.005196446],"genre_scores_gemma":[0.9974712,0.000103046266,0.000015899668,0.0014234965,0.00005312381,0.000009343987,0.0000015893868,0.000006416857,0.000915843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99881816,0.000019895866,0.00043620414,0.00029818766,0.00010999834,0.00031757422],"domain_scores_gemma":[0.99909294,0.000041275856,0.00030928286,0.00041863404,0.000059521346,0.000078355595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011734455,0.000107534775,0.00023965191,0.000143568,0.00028341336,0.0000424367,0.0011953986,0.000026664828,0.00007285244],"category_scores_gemma":[0.00003262326,0.00007449207,0.00010052149,0.0004275224,0.00079648616,0.00020804237,0.00013313603,0.00012035709,0.000019587622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001844377,0.0000476526,0.0858498,0.000004539513,0.000032799344,0.0000059444696,0.003031785,0.00014639465,0.00006239801,0.9084132,0.0021646116,0.00022246051],"study_design_scores_gemma":[0.0002303471,0.00013283872,0.7966026,0.000019950487,0.00000462786,0.000013838434,0.0006273533,0.0008861353,0.0001609602,0.16181403,0.039195735,0.00031158308],"about_ca_topic_score_codex":0.5824682,"about_ca_topic_score_gemma":0.29712412,"teacher_disagreement_score":0.74659914,"about_ca_system_score_codex":0.00005070305,"about_ca_system_score_gemma":0.00018904946,"threshold_uncertainty_score":0.7157015},"labels":[],"label_agreement":null},{"id":"W2012739041","doi":"10.1111/j.1749-8198.2009.00252.x","title":"Teaching and Learning Guide for: Environmental Economic Geography","year":2009,"lang":"en","type":"article","venue":"Geography Compass","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":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geography; Mathematics education; Sociology; Economic geography; Environmental planning; Psychology","score_opus":0.010479854306449536,"score_gpt":0.20024137894301666,"score_spread":0.18976152463656712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012739041","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":[0.9505187,0.0037348596,0.006388338,0.0035865575,0.00022503923,0.0003048542,0.00020840461,0.000078445664,0.034954764],"genre_scores_gemma":[0.99569565,0.00045450023,0.0025698019,0.0005849549,0.00016054539,0.000020706055,0.00007872403,0.000017672208,0.00041743103],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848294,0.000025258989,0.00058632565,0.0005388917,0.000024036872,0.00034251687],"domain_scores_gemma":[0.9992494,0.00008402602,0.00030688316,0.00022538743,0.0000044666135,0.00012982101],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006619011,0.00020982462,0.000472108,0.00050692924,0.00050798,0.0001387309,0.00020662662,0.00008110399,0.00008560426],"category_scores_gemma":[0.000011767054,0.00025580928,0.0004480789,0.000054826403,0.000078890545,0.00020398221,0.000041315972,0.00026770678,0.000063277366],"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":[0.000039834682,0.00014452531,0.6497656,0.000013659404,0.00040391457,0.000001955111,0.0002015153,0.0025422974,0.000051291732,0.2910242,0.0015937637,0.054217406],"study_design_scores_gemma":[0.0008131175,0.00025366212,0.40542546,0.0000069816842,0.000029812352,0.0000054103184,0.00010024,0.028780298,0.0000058904757,0.066911526,0.4971379,0.000529716],"about_ca_topic_score_codex":0.00091302796,"about_ca_topic_score_gemma":0.000042430565,"teacher_disagreement_score":0.49554414,"about_ca_system_score_codex":0.000046340203,"about_ca_system_score_gemma":0.0000045371235,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W2013242487","doi":"10.1111/1467-9787.00300","title":"The Role of Cultural Clustering in Attracting New Immigrants","year":2003,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Immigration; Homogeneous; Imperfect; Cluster (spacecraft); Demographic economics; Cluster analysis; Economic geography; Political science; Geography; Economics; Mathematics; Computer science; Law; Statistics","score_opus":0.03852326481948036,"score_gpt":0.24429752913522115,"score_spread":0.2057742643157408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013242487","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":[0.9874766,0.0037011602,0.0006412037,0.0019945244,0.00021850083,0.000035640587,0.0000011346299,0.0000010665723,0.0059301886],"genre_scores_gemma":[0.99810123,0.0007660831,0.00086046354,0.000053892407,0.00005955144,3.272985e-7,7.467217e-8,0.000003128273,0.0001552411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888176,0.000010474673,0.00069356366,0.00012844466,0.000097306605,0.00018843269],"domain_scores_gemma":[0.9987279,0.000095456664,0.00089887035,0.00010132462,0.000085555475,0.000090865986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016029655,0.00006462524,0.00023615677,0.00020577625,0.00014044774,0.00007358628,0.00039832163,0.00002490846,0.00001720085],"category_scores_gemma":[0.00028555398,0.000047373862,0.00014675286,0.00043345802,0.0001812966,0.00045249474,0.000025289877,0.00012826524,0.0000074446853],"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":[0.00006672247,0.000089877176,0.2610189,0.000006089691,0.000063899584,0.000008100098,0.0014298705,0.0141727915,0.002427358,0.7077864,0.0003422844,0.012587718],"study_design_scores_gemma":[0.0017835523,0.0002893141,0.2735761,0.00017660885,0.000018416566,0.00043653935,0.006012924,0.035339538,0.0022884337,0.4091315,0.27032837,0.0006186973],"about_ca_topic_score_codex":0.00095590076,"about_ca_topic_score_gemma":0.0003909004,"teacher_disagreement_score":0.29865488,"about_ca_system_score_codex":0.00010141188,"about_ca_system_score_gemma":0.00013298298,"threshold_uncertainty_score":0.193185},"labels":[],"label_agreement":null},{"id":"W2014176769","doi":"10.1111/j.1541-0064.2008.00226.x","title":"Functional specialization across space: a case study of the Canadian Electricity Industry, 1971–2001","year":2008,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Canada Research Chairs","keywords":"Metropolitan area; Distribution (mathematics); Economic geography; Electricity generation; Electricity; Space (punctuation); Biomass (ecology); Geography; Production (economics); Fossil fuel; Power (physics); Economics; Ecology; Microeconomics; Engineering; Mathematics; Computer science; Biology","score_opus":0.035073531228193185,"score_gpt":0.2056170518192267,"score_spread":0.17054352059103353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014176769","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":[0.9924534,0.00060264755,0.000005992207,0.002001045,0.0007697285,0.0005588844,0.000701576,0.000020400774,0.0028863207],"genre_scores_gemma":[0.9981527,0.00035239736,0.000014103778,0.00043515884,0.00020860162,0.000062840525,0.0000452384,0.00004215616,0.0006868179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970622,0.000052171923,0.000876097,0.0006850517,0.00011406227,0.0012103962],"domain_scores_gemma":[0.997327,0.000044871733,0.00049307954,0.00072096905,0.00023703858,0.0011769892],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004234125,0.00037155568,0.00064534013,0.003396163,0.0025250409,0.00012214908,0.0005337185,0.0003826319,0.0003097937],"category_scores_gemma":[0.00012831105,0.0003858963,0.0004467933,0.006460494,0.00090822345,0.00024049316,0.000053442636,0.00048662385,0.00001549791],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069315483,0.00007493705,0.9645319,0.000008756553,0.00032493076,0.00046254677,0.0028906981,0.0005625063,4.1931685e-7,0.022357587,0.008583125,0.00019564231],"study_design_scores_gemma":[0.0008305993,0.0001768034,0.9350545,0.000013563058,0.000054647924,0.0010616352,0.012647953,0.0004040171,0.000004110788,0.002750705,0.046255868,0.0007455883],"about_ca_topic_score_codex":0.9986676,"about_ca_topic_score_gemma":0.99997854,"teacher_disagreement_score":0.037672743,"about_ca_system_score_codex":0.00049233803,"about_ca_system_score_gemma":0.000628077,"threshold_uncertainty_score":0.9998593},"labels":[],"label_agreement":null},{"id":"W2014490558","doi":"10.1162/003465303765299882","title":"Geography, Industrial Organization, and Agglomeration","year":2003,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1355,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Externality; Economic geography; Economies of scale; Metropolitan area; Returns to scale; Economics; Scale (ratio); Dimension (graph theory); Work (physics); Economy; Microeconomics; Geography; Production (economics); Engineering","score_opus":0.029270887741001127,"score_gpt":0.20745657237622617,"score_spread":0.17818568463522505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014490558","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48741314,0.43038568,0.045037877,0.011807932,0.0010727111,0.0017426193,0.0030990615,0.000029811952,0.019411156],"genre_scores_gemma":[0.25702342,0.73994243,0.0021243496,0.00069377763,0.000049480208,0.000006607276,0.000064544554,0.000016297057,0.0000790608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990357,0.00002261479,0.0006415817,0.0001913297,0.000010070598,0.00009865836],"domain_scores_gemma":[0.99917656,0.00009675031,0.0004488734,0.00017547513,0.000051127765,0.000051187497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161248,0.00010268703,0.00041329925,0.000052240146,0.00010883706,0.000048214944,0.00008031779,0.00004295004,0.00015016472],"category_scores_gemma":[0.00025629476,0.00009149554,0.00004184557,0.00011510766,0.00010655466,0.000071144656,0.00002573807,0.000060992337,0.000011806629],"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":[8.3359157e-7,0.00000987144,0.0111128865,0.00013434696,0.000053693224,9.014017e-8,0.00002083929,0.000036015193,1.4663348e-7,0.9859485,0.0004913575,0.0021914223],"study_design_scores_gemma":[0.0010532765,0.00015098888,0.014205316,0.00035602553,0.00018520471,0.0000349482,0.00005748675,0.007665351,0.000027050957,0.5899788,0.38560256,0.00068294106],"about_ca_topic_score_codex":0.00009385822,"about_ca_topic_score_gemma":0.000021075135,"teacher_disagreement_score":0.39596966,"about_ca_system_score_codex":0.000014032854,"about_ca_system_score_gemma":0.000024370622,"threshold_uncertainty_score":0.37310797},"labels":[],"label_agreement":null},{"id":"W2014729682","doi":"10.3917/reru.141.0121","title":"Quel rôle réel pour les réseaux de firmes dans l'innovation locale ? Une analyse des bassins d'emplois canadiens durant la période 1997-2005","year":2014,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.023528171940739716,"score_gpt":0.21568532111416658,"score_spread":0.19215714917342686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014729682","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":[0.8396884,0.0070271185,0.05206128,0.089154,0.0006494897,0.0003918379,0.0020844585,0.000074748306,0.008868653],"genre_scores_gemma":[0.9249147,0.0059410622,0.007564117,0.0011270432,0.0016011231,0.000099301826,0.00081800926,0.00016390247,0.057770725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99480706,0.00017832093,0.0022480458,0.001353654,0.0000852448,0.0013276496],"domain_scores_gemma":[0.9962691,0.0006523896,0.0013826168,0.0009296453,0.00025682573,0.00050943444],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016423047,0.00076066825,0.0016648673,0.0010793264,0.0006483221,0.0003049122,0.00073253846,0.0005724786,0.0009176392],"category_scores_gemma":[0.00047577755,0.00090075814,0.0008660668,0.0011607043,0.0007391225,0.000589001,0.00016694811,0.000551338,0.00045727426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077759076,0.0005915734,0.25074688,0.0003260382,0.0010530995,0.00006381025,0.0011798186,0.061112043,0.00010894362,0.6567609,0.0144732045,0.013505942],"study_design_scores_gemma":[0.0013303452,0.00013857042,0.084665276,0.00023014346,0.00024802476,0.00015565573,0.00056373136,0.38221002,0.00010059023,0.07818643,0.45100284,0.0011683902],"about_ca_topic_score_codex":0.10248129,"about_ca_topic_score_gemma":0.20420754,"teacher_disagreement_score":0.5785745,"about_ca_system_score_codex":0.0029845503,"about_ca_system_score_gemma":0.0006643727,"threshold_uncertainty_score":0.99999565},"labels":[],"label_agreement":null},{"id":"W2016557972","doi":"10.1016/j.habitatint.2014.06.025","title":"Framing urban habitats: The small and medium towns in the peripheries","year":2014,"lang":"en","type":"article","venue":"Habitat International","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Framing (construction); Urbanization; Economic geography; Habitat; Geography; Population; Sustainable development; Developing country; Environmental planning; Environmental resource management; Economic growth; Ecology; Economics; Sociology; Biology","score_opus":0.02193288785511448,"score_gpt":0.20248022382232342,"score_spread":0.18054733596720893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016557972","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":[0.8549961,0.0012133439,0.0061413157,0.0737219,0.0007884722,0.00016938562,0.000054630116,0.000015757487,0.06289908],"genre_scores_gemma":[0.99627554,0.00015470885,0.00037809057,0.0022449023,0.00028757163,0.000035130393,0.000016989628,0.000009232255,0.0005978503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99919945,0.00002501853,0.00035841766,0.00023104234,0.00004513019,0.00014094118],"domain_scores_gemma":[0.9993654,0.0002550124,0.00014606281,0.00018057629,0.000025622985,0.000027342643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072938576,0.00009950822,0.00017120506,0.00009990072,0.00011263788,0.00019254346,0.00042264434,0.000042007192,0.000158152],"category_scores_gemma":[0.00020653385,0.00007019257,0.00008554881,0.00008506149,0.00012523303,0.00012314274,0.00006517296,0.00013504009,0.000071784016],"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":[0.000007786277,0.000029793295,0.34742978,0.0000038339363,0.000048311234,0.0000011877293,0.0017256747,0.00012310084,0.00000387999,0.6482732,0.001534137,0.0008193001],"study_design_scores_gemma":[0.00031464038,0.00004108921,0.5295105,0.000010500269,0.0000054115585,0.000008653797,0.00068299245,0.023514263,0.000003881513,0.10956064,0.33617502,0.00017239008],"about_ca_topic_score_codex":0.0006236008,"about_ca_topic_score_gemma":0.002629632,"teacher_disagreement_score":0.53871256,"about_ca_system_score_codex":0.000038952927,"about_ca_system_score_gemma":0.000009002331,"threshold_uncertainty_score":0.286237},"labels":[],"label_agreement":null},{"id":"W2017887093","doi":"10.1111/ecin.12363","title":"REGIONAL AND SECTORAL EVIDENCE OF THE MACROECONOMIC EFFECTS OF LABOR REALLOCATION: A PANEL DATA ANALYSIS","year":2016,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Unemployment; Panel data; Econometrics; Dispersion (optics); Relevance (law); Macroeconomics","score_opus":0.10694667619376604,"score_gpt":0.2757402710482968,"score_spread":0.16879359485453077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017887093","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":[0.99039817,0.0027978988,0.0012868814,0.0042067766,0.0006186555,0.00018246616,0.0003079279,0.000008359775,0.00019284151],"genre_scores_gemma":[0.9969529,0.0019257466,0.0002398911,0.00019298057,0.0002639744,0.000014277024,0.000015883004,0.000016570655,0.00037781443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980343,0.000038417962,0.0010191087,0.00067799847,0.000028821418,0.00020133544],"domain_scores_gemma":[0.99697506,0.00043331325,0.0010979547,0.0013894454,0.000031618114,0.000072626724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006858074,0.00017386132,0.0007541256,0.0003027108,0.000067816414,0.00002681241,0.0008638855,0.000097886135,0.00021427793],"category_scores_gemma":[0.00013152801,0.00013522728,0.00026113188,0.0002129391,0.00043894007,0.00046445255,0.00036947936,0.00006437442,0.00006624396],"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":[0.00012976448,0.00009535969,0.73268884,0.00023673913,0.0029159272,0.0000013062388,0.00074045383,0.001057824,0.00068293,0.25444004,0.0035814908,0.0034292792],"study_design_scores_gemma":[0.0014446779,0.00014313775,0.92877734,0.00023525157,0.00052158075,0.000007767244,0.00010135792,0.021396238,0.0011545379,0.035779484,0.009775689,0.00066291826],"about_ca_topic_score_codex":0.0016929635,"about_ca_topic_score_gemma":0.00076143583,"teacher_disagreement_score":0.21866056,"about_ca_system_score_codex":0.00013895842,"about_ca_system_score_gemma":0.00008400824,"threshold_uncertainty_score":0.55144083},"labels":[],"label_agreement":null},{"id":"W2020745513","doi":"10.1016/j.jue.2004.12.002","title":"From sectoral to functional urban specialisation","year":2005,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":606,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Connaught Fund; London School of Economics and Political Science","keywords":"Economic geography; Variety (cybernetics); Transformation (genetics); Function (biology); Business; Production (economics); Economics; Industrial organization; Natural resource economics; Biology; Microeconomics","score_opus":0.03726369293485314,"score_gpt":0.2006445675835155,"score_spread":0.16338087464866236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020745513","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":[0.9771287,0.00063764496,0.0065382356,0.008198255,0.0014676163,0.000082532424,0.00017871085,0.000009121489,0.0057591824],"genre_scores_gemma":[0.9847013,0.00017243283,0.0034586738,0.0015151947,0.008879729,0.00000284661,0.000027540314,0.00003124403,0.0012110772],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998014,0.000012250422,0.001416878,0.00029303526,0.00003717059,0.0002267143],"domain_scores_gemma":[0.9982169,0.00006393297,0.0011508374,0.00024104591,0.0000814978,0.00024573403],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004817921,0.00017947331,0.00062104396,0.0004649205,0.000079657206,0.00015537924,0.0003061515,0.00010553592,0.0017258389],"category_scores_gemma":[0.00006301528,0.00020883801,0.00041085642,0.00012358821,0.00003333848,0.0006154316,0.00004514445,0.0001829737,0.0009787194],"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":[0.00047198051,0.00043232882,0.23023543,0.000008557607,0.0011907598,0.000009228492,0.0024521255,0.0777532,0.00013807764,0.41381535,0.26565164,0.007841315],"study_design_scores_gemma":[0.0010849396,0.00016188809,0.056352813,0.000011302552,0.00003470007,0.000014339015,0.00010645457,0.009982431,0.00015853679,0.039545085,0.89210886,0.00043863102],"about_ca_topic_score_codex":0.00031359235,"about_ca_topic_score_gemma":0.00029791592,"teacher_disagreement_score":0.6264572,"about_ca_system_score_codex":0.00055247184,"about_ca_system_score_gemma":0.00006792667,"threshold_uncertainty_score":0.99979913},"labels":[],"label_agreement":null},{"id":"W2021238839","doi":"10.1093/jeg/lbr017","title":"Cities, skills and wages","year":2011,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute","funders":"","keywords":"Prosperity; Library science; Schools of economic thought; Management; Political science; Economic history; Media studies; Sociology; History; Economics; Law","score_opus":0.020662612625367716,"score_gpt":0.1868770582470652,"score_spread":0.16621444562169746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021238839","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":[0.9667425,0.0033706937,0.00042323166,0.0004573951,0.0005315569,0.000051507304,0.000042465286,0.000006378857,0.028374273],"genre_scores_gemma":[0.99483824,0.0030195045,0.0015342082,0.00021878476,0.00018317063,0.0000019467923,0.0000016563735,0.000015182881,0.00018730579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859405,0.000009199226,0.0009826577,0.00020393947,0.000016874825,0.00019329808],"domain_scores_gemma":[0.9986061,0.000036496247,0.0010073615,0.00017193564,0.000029242019,0.00014888028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053115207,0.0001403315,0.0005570956,0.0006856506,0.00006506982,0.00006075448,0.00023711954,0.000074440104,0.0008408969],"category_scores_gemma":[0.00001635925,0.00014597893,0.00039620211,0.00007064865,0.00011485304,0.0003493267,0.000043736472,0.00013049021,0.000098979406],"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":[0.00001991185,0.00009902286,0.75196534,0.000009337516,0.00047102256,0.000009432812,0.0003784659,0.00004791971,0.0000020129157,0.24466497,0.0009629909,0.0013695656],"study_design_scores_gemma":[0.0009125395,0.00029271384,0.54987246,0.000018947672,0.000047872974,0.00008959394,0.00015806839,0.0003523717,0.000049848208,0.40650958,0.041299015,0.0003969878],"about_ca_topic_score_codex":0.0004378432,"about_ca_topic_score_gemma":0.000053826174,"teacher_disagreement_score":0.2020929,"about_ca_system_score_codex":0.00003839969,"about_ca_system_score_gemma":0.000019621424,"threshold_uncertainty_score":0.92072314},"labels":[],"label_agreement":null},{"id":"W2022258151","doi":"10.1007/s10708-009-9275-8","title":"Growth and decline in the Canadian urban system: the impact of emerging economic, policy and demographic trends","year":2009,"lang":"en","type":"article","venue":"GeoJournal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":31,"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 Waterloo","funders":"","keywords":"Economics; Context (archaeology); Economic geography; Globalization; Human geography; Order (exchange); Attractiveness; Economic growth; Geography; Market economy","score_opus":0.014962135005205542,"score_gpt":0.23094917514428986,"score_spread":0.21598704013908432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022258151","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":[0.9687505,0.001958341,0.000022169852,0.018981881,0.00003257175,0.00005077544,0.000060041268,0.000002367276,0.010141395],"genre_scores_gemma":[0.9985691,0.0008195825,0.00001925224,0.00036306374,0.00019154599,0.000001845575,0.0000037139923,0.000005687347,0.000026267113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990383,0.000024692328,0.0005008612,0.00016725039,0.000021567144,0.00024733495],"domain_scores_gemma":[0.99938554,0.00004651618,0.00028694686,0.0001498852,0.00001092497,0.00012017199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081958185,0.00011374173,0.00030847348,0.0007967171,0.00022408509,0.00014146075,0.00022150292,0.000053146203,0.000028039034],"category_scores_gemma":[0.000023326047,0.00007676612,0.0001612406,0.0002672815,0.000068328816,0.00011361974,0.000018735178,0.00015706933,0.0000032050616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012654697,0.000016044418,0.5983739,0.0000053840636,0.0001066658,0.000005340342,0.0006704353,0.00094674557,0.0000018279712,0.39653644,0.00036411727,0.0029604605],"study_design_scores_gemma":[0.00034109864,0.00007960879,0.95567554,0.000009313439,0.000011053087,0.00007235901,0.000119089826,0.017530378,5.8823645e-7,0.025096035,0.0009482295,0.000116714116],"about_ca_topic_score_codex":0.44170147,"about_ca_topic_score_gemma":0.18850423,"teacher_disagreement_score":0.3714404,"about_ca_system_score_codex":0.00014297223,"about_ca_system_score_gemma":0.00007805223,"threshold_uncertainty_score":0.8263034},"labels":[],"label_agreement":null},{"id":"W2023484151","doi":"10.6000/1929-7092.2014.03.14","title":"A Note on the Efficiency Effects of Agglomeration Economies: Turkish Evidence","year":2014,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Allocative efficiency; Economies of agglomeration; Economics; Turkish; Probit; Panel data; Collusion; Empirical evidence; Econometrics; Microeconomics","score_opus":0.03215224400742419,"score_gpt":0.24977229673746038,"score_spread":0.21762005273003618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023484151","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":[0.94400716,0.019831976,0.0077565624,0.010817797,0.0021337157,0.0007454745,0.0000577068,0.000009265608,0.014640337],"genre_scores_gemma":[0.9603405,0.036029324,0.0004634763,0.002656189,0.00040660505,0.000011905042,0.0000016918758,0.000016115295,0.00007419058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970872,0.00010548352,0.0021845764,0.0003363365,0.000045612338,0.0002408079],"domain_scores_gemma":[0.99478906,0.0007970453,0.003671861,0.00053212105,0.00008007492,0.00012983529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002671445,0.00026163345,0.0013020145,0.00018934457,0.00010490119,0.000109590575,0.00067612313,0.00010911249,0.000084556894],"category_scores_gemma":[0.0015664203,0.00020117889,0.0008297726,0.00019581124,0.00010018934,0.00031567836,0.000047372327,0.00022445706,0.00040334972],"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":[0.00014097015,0.00024367507,0.004067045,0.00018769206,0.00020287998,0.0000018469547,0.0001428717,0.011466362,0.000012411244,0.9551975,0.004260492,0.024076235],"study_design_scores_gemma":[0.0018516292,0.0034072823,0.010801204,0.001700094,0.00017967673,0.000038265687,0.00003209892,0.047373936,0.0005675022,0.15321629,0.7798319,0.0010001122],"about_ca_topic_score_codex":0.000072702285,"about_ca_topic_score_gemma":0.000047644135,"teacher_disagreement_score":0.8019812,"about_ca_system_score_codex":0.00042232272,"about_ca_system_score_gemma":0.000059648984,"threshold_uncertainty_score":0.8203837},"labels":[],"label_agreement":null},{"id":"W2024805970","doi":"10.1162/rest_a_00193","title":"Female Entrepreneurship, Agglomeration, and a New Spatial Mismatch","year":2011,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Urban agglomeration; Female entrepreneurs; Entrepreneurship; Economic geography; Spatial mismatch; Demographic economics; Economics; Business; Labour economics; Economic growth","score_opus":0.06938125114449478,"score_gpt":0.2279979825114687,"score_spread":0.1586167313669739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024805970","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36061668,0.49349913,0.09643659,0.010287981,0.0008653845,0.0016539702,0.0027660306,0.000035287492,0.033838917],"genre_scores_gemma":[0.27230236,0.7173215,0.008620502,0.0010235461,0.00009899721,0.000011684826,0.000041963798,0.000022073746,0.0005573375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987679,0.000017200942,0.000783333,0.00027472392,0.000012295753,0.0001445304],"domain_scores_gemma":[0.99893475,0.0000849337,0.0005567918,0.00028257712,0.000030103747,0.00011082668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004710912,0.00014004903,0.0005570665,0.0000575285,0.000079038495,0.000036202637,0.00015217527,0.000039681447,0.00036581786],"category_scores_gemma":[0.000082404724,0.00012393326,0.000076859,0.000050658946,0.0001144597,0.000076793855,0.000066175635,0.000065641514,0.000035716534],"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":[0.000008747294,0.000022449325,0.00636144,0.00037734045,0.00009725687,5.031793e-7,0.00041712428,0.000009628771,2.843953e-7,0.9712492,0.00073551276,0.020720515],"study_design_scores_gemma":[0.00091056037,0.00024652368,0.03734742,0.0005522693,0.00022589507,0.00003223711,0.000120140394,0.019644381,0.000044185454,0.81469804,0.12541112,0.0007672425],"about_ca_topic_score_codex":0.00247945,"about_ca_topic_score_gemma":0.00040149738,"teacher_disagreement_score":0.2238224,"about_ca_system_score_codex":0.00001582531,"about_ca_system_score_gemma":0.00003212525,"threshold_uncertainty_score":0.5053852},"labels":[],"label_agreement":null},{"id":"W2025081994","doi":"10.3917/reru.085.0647","title":"Les économies d'agglomération du savoir, plus qu'une question de spécialisation industrielle","year":2008,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.07071040677053916,"score_gpt":0.22430346610838067,"score_spread":0.1535930593378415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025081994","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":[0.7496438,0.022516074,0.023568256,0.17631917,0.003272927,0.0009524911,0.0008663049,0.00013648873,0.022724506],"genre_scores_gemma":[0.88432264,0.026439687,0.0031390546,0.0012281826,0.0053947293,0.0001463202,0.00093934964,0.00012851515,0.07826155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99564105,0.00016686585,0.0021114198,0.001187404,0.000080071346,0.000813192],"domain_scores_gemma":[0.99669856,0.00048311404,0.0015788103,0.00068010826,0.00020112253,0.0003582706],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012526332,0.0006332935,0.0014068381,0.0006684592,0.00080787006,0.00023245896,0.0004967972,0.00084950303,0.001451479],"category_scores_gemma":[0.000476403,0.00084148056,0.00074650557,0.0005651129,0.0005228147,0.001028586,0.00015471301,0.0005855499,0.0010551714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016391565,0.00038698918,0.11742069,0.00013978971,0.0005099186,0.000056448007,0.0015988309,0.06949765,0.000019491383,0.7783784,0.01774214,0.014085719],"study_design_scores_gemma":[0.0019051366,0.00024497643,0.055703714,0.00019780472,0.00013973234,0.0002506862,0.00018100777,0.2300971,0.000072496296,0.03692895,0.6730572,0.0012211843],"about_ca_topic_score_codex":0.027717507,"about_ca_topic_score_gemma":0.004190136,"teacher_disagreement_score":0.7414495,"about_ca_system_score_codex":0.0042624,"about_ca_system_score_gemma":0.00063411903,"threshold_uncertainty_score":0.9997226},"labels":[],"label_agreement":null},{"id":"W2026166948","doi":"10.1108/14626001111155736","title":"Entrepreneurship and urban growth: dimensions and empirical models","year":2011,"lang":"en","type":"article","venue":"Journal of Small Business and Enterprise Development","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Entrepreneurship; Economics; Competition (biology); Metropolitan area; Urbanization; Economic geography; Variables; Empirical research; Probit; Estimation; Variable (mathematics); Ordered probit; Instrumental variable; Econometrics; Economic growth; Geography","score_opus":0.07884181002256684,"score_gpt":0.2049670887921628,"score_spread":0.12612527876959595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026166948","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":[0.9895807,0.0027642136,0.0058646435,0.0008208121,0.00012385605,0.000044298216,0.0000036663948,0.0000036203771,0.00079417933],"genre_scores_gemma":[0.9896781,0.0051497137,0.00479579,0.00024714338,0.000035868343,0.000002492192,0.0000015491132,0.000011011036,0.000078348115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891657,0.000008543292,0.0006678473,0.00022180911,0.000032571865,0.00015263593],"domain_scores_gemma":[0.99924636,0.000027432183,0.00038577704,0.000077364464,0.000090043024,0.0001730254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030069778,0.00013991386,0.00041088628,0.0002593528,0.00009412535,0.00006525074,0.000088003275,0.000058223777,0.000029187757],"category_scores_gemma":[0.000026330466,0.00012524487,0.000051594725,0.00008201126,0.000060711816,0.00021767602,0.000105828905,0.000092406495,0.0000036022443],"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":[0.00012804693,0.00018976333,0.9707961,0.000053041753,0.00028232974,0.000045200504,0.005875989,0.000037772326,0.000011888857,0.018175742,0.0002668654,0.004137279],"study_design_scores_gemma":[0.0009154746,0.00007340094,0.9485342,0.000093212046,0.00003530067,0.0001429279,0.00017573629,0.002378986,0.00004344408,0.0414104,0.005843263,0.00035367507],"about_ca_topic_score_codex":0.00013931585,"about_ca_topic_score_gemma":0.000033083328,"teacher_disagreement_score":0.02323466,"about_ca_system_score_codex":0.000028996285,"about_ca_system_score_gemma":0.00003300007,"threshold_uncertainty_score":0.5107338},"labels":[],"label_agreement":null},{"id":"W2028971424","doi":"10.1111/j.1744-7976.2007.00095.x","title":"Ouverture des marchés et localisation des productions agricoles Market openness and location of agricultural activities","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","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":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; European union; Political science; Geography; Economics; International trade; Art","score_opus":0.029095486681902656,"score_gpt":0.1811777616382938,"score_spread":0.15208227495639115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028971424","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":[0.9658153,0.014091707,0.00041788904,0.013811483,0.002209099,0.00043509644,0.0007536016,0.0000069681646,0.002458878],"genre_scores_gemma":[0.987144,0.0038866447,0.0012213987,0.00021042547,0.001021686,0.000012502426,0.00012425575,0.000047110658,0.0063319905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99543387,0.00009561719,0.002544713,0.0007358821,0.00002217599,0.0011677278],"domain_scores_gemma":[0.99423426,0.00031058272,0.002725298,0.00033795295,0.0008873409,0.0015045399],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002054465,0.0006077961,0.0015006667,0.0010023516,0.00057528546,0.0004401953,0.00063002936,0.00043308618,0.00043953457],"category_scores_gemma":[0.0004281967,0.0006201328,0.00046857033,0.00072006707,0.0012879451,0.0025667597,0.00006906549,0.0005603211,0.00001611745],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003119355,0.00031284933,0.13248861,0.0017788358,0.0033530553,0.000057828856,0.017417906,0.07638303,0.000160948,0.72749126,0.0137733435,0.02647041],"study_design_scores_gemma":[0.0009212126,0.0005174398,0.9442001,0.00051134895,0.000246605,0.001025682,0.013241051,0.00042643628,0.00017888972,0.017227653,0.020483352,0.0010202312],"about_ca_topic_score_codex":0.1255149,"about_ca_topic_score_gemma":0.92320055,"teacher_disagreement_score":0.8117115,"about_ca_system_score_codex":0.003764441,"about_ca_system_score_gemma":0.0008578211,"threshold_uncertainty_score":0.999625},"labels":[],"label_agreement":null},{"id":"W2030507615","doi":"10.1068/a31171","title":"Foreign Direct Investment and the Flying Geese Model: Japanese Electronics Firms in Asia-Pacific","year":2000,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Foreign direct investment; Multinational corporation; Dynamical billiards; Inward investment; International trade; Asia pacific; Economic geography; Investment (military); Economy; Business; Economics; Political science; Mathematics","score_opus":0.013765136979742519,"score_gpt":0.1766491170360315,"score_spread":0.16288398005628899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030507615","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":[0.881092,0.016098004,0.00013771142,0.002439254,0.000013679924,0.00023247287,0.000017040285,0.000009704733,0.09996015],"genre_scores_gemma":[0.9870104,0.009380637,0.00018325991,0.00032755753,0.000037153637,0.000046955334,0.000015242328,0.000014561623,0.0029842225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887526,0.000022115964,0.00036228783,0.0004456384,0.000018988796,0.0002756866],"domain_scores_gemma":[0.9995021,0.00009346278,0.00013005888,0.0001770895,0.00000140085,0.00009585664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054507033,0.0001934252,0.0004362674,0.000109096094,0.0002227207,0.00012298522,0.0000829015,0.00008159003,0.000118032745],"category_scores_gemma":[0.000007254126,0.00017139716,0.000062195715,0.0000457426,0.00017306562,0.00018653757,0.000044261655,0.00016034831,0.000023742068],"study_design_candidate":"simulation_or_modeling","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":[0.0004898438,0.00013591183,0.25124264,0.000063961175,0.00041534196,0.000020745441,0.016477454,0.09744366,0.000004371209,0.6251978,0.0007066499,0.007801565],"study_design_scores_gemma":[0.0022101242,0.000086638975,0.00906171,0.000025765501,0.000030135605,0.000014574753,0.0013315819,0.7818529,0.000004474135,0.09706726,0.10778233,0.00053251075],"about_ca_topic_score_codex":0.00030495066,"about_ca_topic_score_gemma":0.000031704432,"teacher_disagreement_score":0.68440926,"about_ca_system_score_codex":0.000054876804,"about_ca_system_score_gemma":0.000006349667,"threshold_uncertainty_score":0.69893736},"labels":[],"label_agreement":null},{"id":"W2033093503","doi":"10.1111/j.0008-3658.2005.00089.x","title":"Le classement des villes dans l'économie du savoir : une analyse intégrée des régions urbaines canadiennes et américaines","year":2005,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.016315270152504984,"score_gpt":0.18883720966047368,"score_spread":0.1725219395079687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033093503","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":[0.8399628,0.038389668,0.0005088685,0.09692757,0.0016010002,0.0006422432,0.0031392933,0.00011618072,0.018712416],"genre_scores_gemma":[0.9370602,0.05129278,0.0022959504,0.0028726826,0.0008919197,0.0002409488,0.00050303555,0.00021179901,0.0046306774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9920623,0.00018391681,0.0023729634,0.001957025,0.0001335434,0.003290303],"domain_scores_gemma":[0.993575,0.00041970063,0.0010322117,0.0013538116,0.0005305084,0.0030887658],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.00091718073,0.0013782731,0.0020343107,0.009152533,0.0030023176,0.0007684332,0.0014801484,0.0006307231,0.0004198558],"category_scores_gemma":[0.0003566755,0.001804835,0.0018660988,0.00796503,0.0068182778,0.001607645,0.00020603165,0.0005950573,0.00011531604],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033250843,0.00024637653,0.45981798,0.00017358571,0.0027111878,0.00020734586,0.005433352,0.0069885943,0.000010963347,0.47966224,0.015350801,0.029364316],"study_design_scores_gemma":[0.0011497659,0.00034322607,0.23990883,0.0002474968,0.00048350613,0.00023612831,0.018552322,0.006495936,0.000020030202,0.07910327,0.65056837,0.0028911026],"about_ca_topic_score_codex":0.9903452,"about_ca_topic_score_gemma":0.99995065,"teacher_disagreement_score":0.6352176,"about_ca_system_score_codex":0.0020752097,"about_ca_system_score_gemma":0.0012099625,"threshold_uncertainty_score":0.99989676},"labels":[],"label_agreement":null},{"id":"W2033331891","doi":"10.1080/00343400600928269","title":"Do Local Factors Explain Local Employment Growth? Evidence from Canada, 1971–2001","year":2007,"lang":"en","type":"article","venue":"Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Explanatory power; Economies of agglomeration; Economic geography; Variety (cybernetics); Economics; Order (exchange); Regional studies; Scale (ratio); Regional development; Regional science; Geography; Economic growth; Mathematics; Finance","score_opus":0.12787391808168755,"score_gpt":0.2712565471806448,"score_spread":0.14338262909895724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033331891","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":[0.9324258,0.02918523,0.027201463,0.009135941,0.0005965437,0.00016311715,0.00015980101,0.000030562165,0.0011015239],"genre_scores_gemma":[0.9930015,0.0050489423,0.00020450416,0.0008874944,0.00028002317,0.00001535084,0.0000320114,0.000023883316,0.0005062423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774134,0.000016898819,0.00087468146,0.00067476137,0.00015298677,0.00053934555],"domain_scores_gemma":[0.9983617,0.00064491044,0.000370346,0.00028391305,0.00011560608,0.00022349179],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005654589,0.00030476876,0.0007504124,0.0001705451,0.00028708662,0.00004501176,0.00033926705,0.00009525465,0.00018988308],"category_scores_gemma":[0.0001479863,0.00029704385,0.00024950402,0.00024219032,0.00028593803,0.0001918019,0.00014741645,0.00016513852,0.000112355876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016924544,0.00018994161,0.7360086,0.000041971474,0.002414329,0.00012654377,0.0018914179,0.0021937832,0.00001082192,0.16522625,0.08768735,0.0040397905],"study_design_scores_gemma":[0.001094985,0.00023262503,0.68331504,0.00026107466,0.00010728503,0.000010487585,0.011155713,0.002745782,0.00036839588,0.0951293,0.20367873,0.0019005863],"about_ca_topic_score_codex":0.76917404,"about_ca_topic_score_gemma":0.72669715,"teacher_disagreement_score":0.11599138,"about_ca_system_score_codex":0.0011512077,"about_ca_system_score_gemma":0.000112890644,"threshold_uncertainty_score":0.99994814},"labels":[],"label_agreement":null},{"id":"W2033491347","doi":"10.1016/j.jue.2010.08.004","title":"Is the division of labour limited by the extent of the market? Evidence from French cities","year":2010,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":97,"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":"Census; Division of labour; Division (mathematics); Economics; Empirical evidence; Economic geography; Labour economics; Sociology; Market economy; Population; Demography","score_opus":0.0242264611246015,"score_gpt":0.20024265019298326,"score_spread":0.17601618906838176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033491347","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":[0.9823859,0.0037151382,0.00024130088,0.011444065,0.0008525477,0.00010677167,0.00039630715,0.0000015381931,0.00085644197],"genre_scores_gemma":[0.99421227,0.0034349854,0.00017812422,0.0006206427,0.00023173906,0.0000025570694,0.0000015166885,0.00001648978,0.0013017048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980095,0.000041507625,0.0015170611,0.00019995574,0.00006027458,0.00017169307],"domain_scores_gemma":[0.99551916,0.000627522,0.0029935944,0.00066287175,0.00013423746,0.000062590196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011753298,0.00016254917,0.0005918404,0.0001159662,0.00014103495,0.000091886075,0.0012452675,0.000106253,0.0007177438],"category_scores_gemma":[0.00028144152,0.00009580346,0.00061851257,0.00014706024,0.00028760155,0.00028216786,0.00016196579,0.00041513483,0.00001170149],"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":[0.00012602523,0.0002529441,0.8431251,0.000045598135,0.0013372507,9.889014e-7,0.0032153877,0.0016079851,0.0014636134,0.06598264,0.079100825,0.0037416266],"study_design_scores_gemma":[0.0007393489,0.00017455927,0.7847479,0.00012327773,0.00010996002,0.000012407187,0.000446445,0.018933402,0.0026763806,0.08366342,0.10803466,0.00033823782],"about_ca_topic_score_codex":0.0019103771,"about_ca_topic_score_gemma":0.0004379798,"teacher_disagreement_score":0.058377218,"about_ca_system_score_codex":0.00006239517,"about_ca_system_score_gemma":0.00007196404,"threshold_uncertainty_score":0.78587914},"labels":[],"label_agreement":null},{"id":"W2034395556","doi":"10.1111/j.1467-8306.2007.00585.x","title":"Economic Geography: Past, Present and Future by Sharmistha Bagchi-Sen and Helen Lawton Smith","year":2007,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economic geography; Geography","score_opus":0.010536275690187186,"score_gpt":0.22641153210929593,"score_spread":0.21587525641910874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034395556","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":[0.9723501,0.0029024035,0.000034605735,0.021084996,0.00010383388,0.00013786239,0.00039487102,0.0000082098495,0.0029830793],"genre_scores_gemma":[0.99337924,0.005496124,0.000116074036,0.00058356515,0.00019502861,0.0000043080045,0.0000148884465,0.000014651068,0.00019610075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987476,0.000026709771,0.0006075243,0.00029786286,0.0000629662,0.0002573778],"domain_scores_gemma":[0.9978832,0.00010021366,0.0016382098,0.00022814274,0.000055004926,0.00009521468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085382594,0.00014625525,0.00050493935,0.00020908538,0.0000905043,0.00003377878,0.0001993768,0.000071019014,0.000034742297],"category_scores_gemma":[0.000010621824,0.00014046005,0.0003072126,0.00026926023,0.00023822681,0.00011962959,0.00007293403,0.0000941426,0.0000033595254],"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":[0.00002752541,0.000037802543,0.98269075,0.000010052406,0.00047489823,7.239325e-8,0.00014296787,0.000047999263,0.000010063423,0.0027494205,0.009562034,0.0042464314],"study_design_scores_gemma":[0.0002692685,0.00010844236,0.87533253,0.00000606863,0.000027938513,3.8700884e-7,0.00023544817,0.00024107496,0.00011871051,0.002899522,0.120584145,0.00017648806],"about_ca_topic_score_codex":0.0062184935,"about_ca_topic_score_gemma":0.00024306028,"teacher_disagreement_score":0.111022115,"about_ca_system_score_codex":0.000029987135,"about_ca_system_score_gemma":0.0000114031245,"threshold_uncertainty_score":0.94005436},"labels":[],"label_agreement":null},{"id":"W2035990730","doi":"10.1080/02642060802253900","title":"The tendency of advanced services to co-locate and the implications for regional government policy","year":2009,"lang":"en","type":"article","venue":"Service Industries Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Economies of agglomeration; Government (linguistics); Incentive; Space (punctuation); Economic geography; Business; Politics; Economics; Industrial organization; Economy; Market economy; Microeconomics; Political science","score_opus":0.03479446116276497,"score_gpt":0.25939940736589817,"score_spread":0.2246049462031332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035990730","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23689711,0.0024987888,0.00093163794,0.75640476,0.00009425281,0.00040691553,0.00028403895,0.000006469222,0.0024760065],"genre_scores_gemma":[0.9899019,0.0021427518,0.0002291991,0.006661607,0.00034479777,0.00003280951,0.000008160743,0.000010277674,0.00066849793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99892986,0.000013833639,0.0006176293,0.00016906718,0.000054005686,0.00021559486],"domain_scores_gemma":[0.99871063,0.0001826743,0.00059884344,0.00023970309,0.00016264604,0.00010547178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006461393,0.000112644884,0.00027710327,0.00007024547,0.00058117503,0.00016927537,0.00044518616,0.00006190659,0.000009387109],"category_scores_gemma":[0.0000808555,0.000075419,0.000097446995,0.00035500113,0.00007774141,0.00015834687,0.000038093607,0.00015985948,0.0000070453248],"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":[0.00022725397,0.000031863336,0.0028295917,0.000009056894,0.00013168412,1.2510128e-7,0.00057656685,0.0010557467,0.000032318672,0.9746951,0.0018812215,0.018529484],"study_design_scores_gemma":[0.0018957234,0.00017307774,0.08063338,0.00003486427,0.00003434072,0.000038482372,0.0019263536,0.0017637297,0.00006467864,0.50082463,0.41236582,0.0002449004],"about_ca_topic_score_codex":0.00038875482,"about_ca_topic_score_gemma":0.00038204866,"teacher_disagreement_score":0.7530048,"about_ca_system_score_codex":0.00009691676,"about_ca_system_score_gemma":0.00007887097,"threshold_uncertainty_score":0.44699872},"labels":[],"label_agreement":null},{"id":"W2036116994","doi":"10.6000/1929-7092.2014.03.21","title":"Growth and Land Use with Agriculture and Industry","year":2014,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Endowment; Economic geography; Agriculture; Productivity; Economics; Population growth; Land use; Population; Urban economics; Geography; Agricultural economics; Economic growth; Microeconomics; Ecology","score_opus":0.024510518360812732,"score_gpt":0.20498734526541876,"score_spread":0.18047682690460604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036116994","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":[0.98636484,0.0066904025,0.00036706816,0.002576961,0.00011910269,0.00010790419,0.000052082,0.0000031910372,0.003718462],"genre_scores_gemma":[0.9561254,0.040246643,0.0016013166,0.0016642351,0.0002526263,0.000002431024,0.0000033331498,0.000011690091,0.000092322654],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998765,0.000023375867,0.0008076125,0.00023715205,0.000017998063,0.00014888492],"domain_scores_gemma":[0.9984164,0.000052868883,0.0011617291,0.00014080755,0.000035876186,0.00019228653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053475046,0.00017848755,0.0008264795,0.0000893087,0.000059556296,0.00017895942,0.00013504144,0.00014926202,0.000016211294],"category_scores_gemma":[0.000118811426,0.00013274403,0.00013535292,0.00008730703,0.0000621768,0.00036091832,0.000032703432,0.00024505294,0.000017836548],"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":[0.00007184065,0.000057724013,0.57579714,0.000054220407,0.00019365219,0.000003802005,0.00003561193,0.00037003745,8.4653834e-7,0.41652888,0.0015309736,0.005355234],"study_design_scores_gemma":[0.0017594987,0.00085606595,0.2032762,0.00019743804,0.00009963741,0.00032474782,0.000024824634,0.0015272147,0.000006713916,0.044806466,0.74652016,0.0006010171],"about_ca_topic_score_codex":0.00014268231,"about_ca_topic_score_gemma":0.00012386398,"teacher_disagreement_score":0.7449892,"about_ca_system_score_codex":0.000068705514,"about_ca_system_score_gemma":0.000014127182,"threshold_uncertainty_score":0.5413144},"labels":[],"label_agreement":null},{"id":"W203653299","doi":"","title":"LA CROISSANCE URBAINE : DÉTERMINISMES VS BRUIT","year":2012,"lang":"fr","type":"article","venue":"Region et Developpement","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":"University of Toronto","funders":"","keywords":"Stylized fact; Economic geography; Econometrics; Series (stratigraphy); Rank (graph theory); Order (exchange); Geography; Economics; Regional science; Mathematics; Geology; Macroeconomics; Combinatorics","score_opus":0.05406500984785072,"score_gpt":0.2687862554932417,"score_spread":0.21472124564539097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W203653299","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23132598,0.08567453,0.048685856,0.5646908,0.0062694727,0.0007271587,0.0002153786,0.00009750756,0.0623133],"genre_scores_gemma":[0.8888483,0.019500284,0.0034351957,0.0036229808,0.00060832605,0.00006280981,0.00006565678,0.0000662922,0.08379013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997116,0.000113430586,0.0011766119,0.0006157049,0.0000930726,0.0008851241],"domain_scores_gemma":[0.9981557,0.0001550747,0.00077642396,0.0005220232,0.00006584247,0.00032492456],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014917386,0.0004109268,0.0008248248,0.0003342472,0.00018465926,0.00018152862,0.00038363386,0.0003170978,0.00093927426],"category_scores_gemma":[0.00008118133,0.00051948515,0.00038743793,0.00037106624,0.00021867637,0.0006568944,0.00020510868,0.0003199302,0.0015508673],"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":[0.000034761895,0.00043344233,0.16952291,0.000114991824,0.00040346454,0.00002993345,0.0021781633,0.00017528837,0.0000021460417,0.7391274,0.067032404,0.020945074],"study_design_scores_gemma":[0.0005259298,0.000061921965,0.12755758,0.00011021349,0.000039916573,0.00006433086,0.000116962554,0.0013621778,0.000030846408,0.006985613,0.8625353,0.0006092366],"about_ca_topic_score_codex":0.0005113556,"about_ca_topic_score_gemma":0.00014493306,"teacher_disagreement_score":0.7955029,"about_ca_system_score_codex":0.00050146057,"about_ca_system_score_gemma":0.00010429648,"threshold_uncertainty_score":0.999974},"labels":[],"label_agreement":null},{"id":"W2038742454","doi":"10.3138/cpp.39.3.411","title":"Restoring the “Regional” to Regional Policy: A Regional Typology of Western Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Lethbridge; Université de Moncton; Carleton University","funders":"","keywords":"Typology; Diversification (marketing strategy); Regional policy; Diversity (politics); Economic geography; Quarter (Canadian coin); Shift-share analysis; Geography; Regional development; Regional science; Regional variation; Scale (ratio); Political science; Development economics; Economic growth; Economics; Economy; Business; Cartography","score_opus":0.050163751692204404,"score_gpt":0.22129827817480446,"score_spread":0.17113452648260005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038742454","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2587108,0.00051500293,0.000057498055,0.719623,0.00019577218,0.00030022286,0.00024080505,0.0000132032565,0.020343684],"genre_scores_gemma":[0.95465744,0.00012450755,0.000067125635,0.039306477,0.0009881374,0.000087167784,0.000042875716,0.000033018223,0.0046932497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978963,0.00003189636,0.0007054651,0.0004544491,0.00009764447,0.0008142186],"domain_scores_gemma":[0.9976975,0.000106224106,0.00034332898,0.0006760946,0.00015816963,0.0010187249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003129258,0.00022320534,0.00048033783,0.0013198743,0.000278345,0.000117068965,0.00086104474,0.00012842898,0.0003830941],"category_scores_gemma":[0.0002858923,0.00021959389,0.00017708428,0.0009867658,0.00019278457,0.00021837275,0.00008063533,0.00018321468,0.00031166055],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002473874,0.000009928238,0.024386724,0.0000050276544,0.000098810575,0.0000021897297,0.00013483524,0.00008151042,0.0000024783528,0.8485251,0.1258329,0.0009179912],"study_design_scores_gemma":[0.00015586769,0.000023662535,0.116610505,0.000006452388,0.0000033544013,0.000021401007,0.00008556836,0.0002757481,0.0000010410786,0.031914264,0.85065734,0.00024477698],"about_ca_topic_score_codex":0.9989124,"about_ca_topic_score_gemma":0.9967782,"teacher_disagreement_score":0.8166109,"about_ca_system_score_codex":0.0017662451,"about_ca_system_score_gemma":0.0076365075,"threshold_uncertainty_score":0.9979893},"labels":[],"label_agreement":null},{"id":"W2039846381","doi":"10.1111/j.1744-7976.2007.00080.x","title":"Scale, Organization, and Profitability of Ethanol Processing","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Industrial organization; Computer science; Business; Operations research; Economics; Mathematics; Finance","score_opus":0.018808985749375333,"score_gpt":0.16099226957421364,"score_spread":0.1421832838248383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039846381","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":[0.99299204,0.0009509297,0.00022772883,0.0029471815,0.0004157911,0.000185886,0.00016226507,0.0000055844594,0.0021125707],"genre_scores_gemma":[0.9981511,0.00016207747,0.0006834784,0.00016488669,0.00036819646,0.0000020796765,0.000029285447,0.000028530247,0.00041035176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693555,0.00001323339,0.0020054893,0.00042873056,0.000008594571,0.000608396],"domain_scores_gemma":[0.9962854,0.00008107181,0.0018709039,0.00023098102,0.00039417887,0.0011374623],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001167337,0.00027669876,0.0009789367,0.0006401861,0.00020388512,0.00013438943,0.00043914872,0.00019387921,0.00022753277],"category_scores_gemma":[0.00020236564,0.00025367038,0.00023374587,0.00032825297,0.00024370253,0.0006979585,0.000031104,0.00023806299,0.000021880302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006934606,0.0000761994,0.761166,0.00025327926,0.0005661638,0.00003446117,0.0051235906,0.002103125,0.00018649372,0.2201027,0.00090121746,0.009417437],"study_design_scores_gemma":[0.0011924556,0.00036771112,0.94684017,0.0000929275,0.000090428286,0.00063074706,0.0021044528,0.00038056623,0.0009420203,0.032219153,0.014147902,0.0009914943],"about_ca_topic_score_codex":0.02466716,"about_ca_topic_score_gemma":0.4053809,"teacher_disagreement_score":0.38071376,"about_ca_system_score_codex":0.000955657,"about_ca_system_score_gemma":0.00041238463,"threshold_uncertainty_score":0.99999154},"labels":[],"label_agreement":null},{"id":"W2040412566","doi":"10.1007/s10479-014-1704-5","title":"On agglomeration in competitive location models","year":2014,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"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 New Brunswick","funders":"","keywords":"Economies of agglomeration; Theory of computation; Economic geography; Economics; Dispersion (optics); Industrial organization; Computer science; Microeconomics; Physics","score_opus":0.26909883795682826,"score_gpt":0.3785344723005367,"score_spread":0.10943563434370845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040412566","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":[0.78563744,0.00039964568,0.036894344,0.021457069,0.00007654198,0.0003978482,0.00006105637,0.000010293185,0.15506576],"genre_scores_gemma":[0.99846184,0.0003656662,0.00020895767,0.0002608307,0.000040249935,0.00004139623,0.000045008415,0.00000790989,0.00056811044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989665,0.000073757416,0.00046272832,0.0002488819,0.00007061707,0.00017752081],"domain_scores_gemma":[0.9992168,0.00013134157,0.000049389415,0.00023280589,0.0003243367,0.000045344237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017447554,0.00006306028,0.00021795822,0.0007066316,0.000117958756,0.00006860385,0.00014946381,0.000052796822,0.00014048185],"category_scores_gemma":[0.00031662386,0.000070878195,0.00005394934,0.0005284782,0.000072802664,0.00027066848,0.000027282636,0.0001402947,0.00027745665],"study_design_candidate":"simulation_or_modeling","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":[0.000008408113,0.00007734922,0.00030444737,0.000004106131,0.000008851256,1.0927707e-7,0.00013205984,0.2810554,0.000012602691,0.7178252,0.00019684016,0.00037467154],"study_design_scores_gemma":[0.00015897785,0.0001284325,0.003014522,0.000017926783,3.8814403e-7,1.28253e-7,0.00005395875,0.7643637,0.00023327801,0.23052916,0.0014233221,0.00007617502],"about_ca_topic_score_codex":0.0029857534,"about_ca_topic_score_gemma":0.0021903676,"teacher_disagreement_score":0.48729602,"about_ca_system_score_codex":0.00003626816,"about_ca_system_score_gemma":0.000031949938,"threshold_uncertainty_score":0.45135856},"labels":[],"label_agreement":null},{"id":"W2041635316","doi":"10.3917/riges.281.0075","title":"Modéliser une grappe industrielle de compétences : le cas des entreprises de biotechnologie de la région de Montréal","year":2003,"lang":"fr","type":"article","venue":"Gestion","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.030248491448206113,"score_gpt":0.21868893866427733,"score_spread":0.18844044721607123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041635316","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":[0.8674745,0.017323334,0.07480211,0.03818759,0.00016419664,0.00010569735,0.000046539793,0.000044554636,0.0018514597],"genre_scores_gemma":[0.9619795,0.026348963,0.008357302,0.00015121987,0.000077205914,0.00002246427,0.000015244573,0.000022520857,0.003025545],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998377,0.00013592692,0.0004650864,0.0004063241,0.000033392043,0.00058222766],"domain_scores_gemma":[0.999066,0.00018350822,0.00030545375,0.00025603385,0.00003700574,0.00015199941],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011321105,0.00020736021,0.00036464,0.00027124424,0.00032340304,0.00014891196,0.00021677717,0.0007190937,0.00011562877],"category_scores_gemma":[0.0004681062,0.0002692892,0.00020007878,0.00045084563,0.00039132487,0.00019763054,0.00004575053,0.00041294485,0.00007142467],"study_design_candidate":"theoretical_or_conceptual","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":[0.000025219777,0.0003101942,0.46601185,0.00003141684,0.00015543215,0.000040996736,0.0007620091,0.11785608,0.0001566409,0.3770525,0.0027696788,0.03482802],"study_design_scores_gemma":[0.00083134946,0.0001287125,0.13778856,0.00010103592,0.00008492573,0.00011936274,0.0010353868,0.15642367,0.0027812135,0.5883642,0.111799575,0.00054202165],"about_ca_topic_score_codex":0.07218788,"about_ca_topic_score_gemma":0.0031762093,"teacher_disagreement_score":0.3282233,"about_ca_system_score_codex":0.0009860432,"about_ca_system_score_gemma":0.00024037436,"threshold_uncertainty_score":0.9999759},"labels":[],"label_agreement":null},{"id":"W2041870331","doi":"10.1093/jeg/lbg020","title":"Innovation and the Growth of Cities","year":2003,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic geography; Regional science; Volume (thermodynamics); Sociology; Library science; Geography; Computer science; Thermodynamics; Physics","score_opus":0.0159636918089029,"score_gpt":0.18912514427118088,"score_spread":0.173161452462278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041870331","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":[0.97891784,0.0026070941,0.0008070172,0.0016185538,0.00029953456,0.000059937964,0.000016825723,0.0000016124155,0.015671596],"genre_scores_gemma":[0.9980794,0.0012119587,0.00039984589,0.00017988884,0.00006424226,0.0000018489616,9.32489e-7,0.000006997983,0.000054856875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986021,0.000021418424,0.0011473271,0.000109521585,0.00001814215,0.00010152394],"domain_scores_gemma":[0.99811745,0.00010521259,0.001546344,0.00011920374,0.000080670776,0.00003110638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014021079,0.00008827971,0.00049658824,0.00067361566,0.000055161807,0.000044543594,0.00015187304,0.000044247776,0.00013030153],"category_scores_gemma":[0.00009696258,0.00007127711,0.00027301215,0.00018878063,0.00022253455,0.00019770487,0.000015780788,0.00009814237,0.000008619859],"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":[0.000026680986,0.000011621249,0.15544643,0.000006228711,0.00018895508,2.5302998e-7,0.00007369973,0.000111059126,0.0000020099294,0.8438749,0.00018126433,0.00007689621],"study_design_scores_gemma":[0.0017038431,0.000080184436,0.043204058,0.000009295582,0.000029866622,0.000024217765,0.00015587186,0.00052785163,0.00008122317,0.9467616,0.00729311,0.00012887624],"about_ca_topic_score_codex":0.00021439095,"about_ca_topic_score_gemma":0.000013837085,"teacher_disagreement_score":0.11224237,"about_ca_system_score_codex":0.000021188747,"about_ca_system_score_gemma":0.000023439781,"threshold_uncertainty_score":0.2906596},"labels":[],"label_agreement":null},{"id":"W2042818320","doi":"10.1109/sisy.2012.6339514","title":"Investigating the effects of transport safety- and infrastructure- development with the use of SCGE models in the material flows","year":2012,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Transport infrastructure; Computer science; Transport engineering; Development (topology); Operations research; Engineering; Mathematics","score_opus":0.02548972119007395,"score_gpt":0.17749906379691963,"score_spread":0.15200934260684568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042818320","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":[0.9958298,0.0001412613,0.002597683,0.00066122634,0.000042901796,0.00020148445,0.000015289683,0.0000018162006,0.00050850457],"genre_scores_gemma":[0.9978124,0.000099155186,0.0017062553,0.00030216295,0.000024994502,0.000013685347,0.0000060765383,0.000006826237,0.00002846581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992622,0.000020182119,0.00043687402,0.000111381436,0.00003424193,0.00013510615],"domain_scores_gemma":[0.99940014,0.00014982205,0.00023874646,0.00017421407,0.00001204563,0.000025060122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005088323,0.00009409938,0.00026005972,0.000056121276,0.00007406615,0.000022147837,0.0001671354,0.00003472448,0.00002090984],"category_scores_gemma":[0.000015685975,0.000044515724,0.00004060245,0.00012445083,0.00010286894,0.0001895415,0.000023988812,0.00006713231,8.4792856e-7],"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":[0.00008531964,0.000077403754,0.34635106,0.00015667443,0.00029317776,5.673648e-7,0.019563558,0.03392561,0.00015689847,0.5965182,0.00010735488,0.002764174],"study_design_scores_gemma":[0.00077213545,0.00007609555,0.9333923,0.00004778251,0.000041643943,0.00000504421,0.00045944352,0.040929046,0.0007866304,0.012086338,0.011116086,0.00028747902],"about_ca_topic_score_codex":0.0012870241,"about_ca_topic_score_gemma":0.0007095164,"teacher_disagreement_score":0.5870412,"about_ca_system_score_codex":0.000017626608,"about_ca_system_score_gemma":0.000017247028,"threshold_uncertainty_score":0.1945604},"labels":[],"label_agreement":null},{"id":"W2044715144","doi":"10.1007/s10797-006-6038-z","title":"Policy-induced internal migration: An empirical investigation of the Canadian case","year":2006,"lang":"en","type":"article","venue":"International Tax and Public Finance","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Unemployment; Public finance; Internal migration; Economics; Closing (real estate); Demographic economics; Politics; Public policy; Economic geography; Geography; Political science; Macroeconomics; Economic growth; Developing country","score_opus":0.042021670924011996,"score_gpt":0.24385163753697048,"score_spread":0.2018299666129585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044715144","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":[0.9513569,0.00007586309,0.00019191652,0.03877425,0.0002676392,0.00006196085,0.00018592621,0.0000051153506,0.009080414],"genre_scores_gemma":[0.9976809,0.000028504268,0.00020073714,0.00073016045,0.0003008134,0.000010902969,0.00003830332,0.000007531816,0.0010021371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99909157,0.000016721455,0.0004461743,0.00024574093,0.000050268278,0.00014952863],"domain_scores_gemma":[0.99929774,0.000022407557,0.00031700617,0.0001826581,0.00010143569,0.00007873977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000224748,0.00009547268,0.00016151587,0.00029212507,0.00016395324,0.00015031568,0.00026015687,0.00007899025,0.000062423205],"category_scores_gemma":[0.00007271368,0.00008865371,0.00008500102,0.00022987174,0.00010378709,0.0003387026,0.000040289524,0.00010053312,0.000012974086],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027353092,0.00001771272,0.43018723,0.000002010958,0.00002090342,0.0000080281525,0.0000897135,0.00009201785,0.000015627129,0.56829536,0.00077240536,0.000496237],"study_design_scores_gemma":[0.00038302693,0.000047436195,0.67105556,0.000012953734,0.000004778602,0.00023055555,0.000037544974,0.039637204,0.00015258856,0.20971526,0.078476585,0.00024651538],"about_ca_topic_score_codex":0.6377693,"about_ca_topic_score_gemma":0.7430657,"teacher_disagreement_score":0.3585801,"about_ca_system_score_codex":0.0001571791,"about_ca_system_score_gemma":0.00018473332,"threshold_uncertainty_score":0.36464283},"labels":[],"label_agreement":null},{"id":"W2045043567","doi":"10.1504/ijeim.2007.012881","title":"Coordination of interactions in innovative environments","year":2007,"lang":"en","type":"article","venue":"International Journal of Entrepreneurship and Innovation Management","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Cluster (spacecraft); Order (exchange); Business; Economic geography; Knowledge management; Industrial organization; Computer science; Economics","score_opus":0.035939242165984,"score_gpt":0.2701720610489986,"score_spread":0.23423281888301462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045043567","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":[0.95539105,0.00009418428,0.029839616,0.0022524905,0.00054061145,0.00007649443,0.000009354552,0.0000018141855,0.011794396],"genre_scores_gemma":[0.99840295,0.00017268074,0.0006568818,0.00019440794,0.00006544764,0.0000014666668,0.000012346937,0.0000049948885,0.0004888494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985128,0.000008172508,0.0011853438,0.0001285509,0.000084097905,0.00008101098],"domain_scores_gemma":[0.9985724,0.000043587104,0.0011201912,0.000070044254,0.00017531798,0.0000184383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009033262,0.000070723974,0.0001872065,0.0020742537,0.000013781256,0.000025324976,0.00016410513,0.00002104033,0.000089643116],"category_scores_gemma":[0.00006899215,0.00007838942,0.000043125336,0.0006778434,0.00003560344,0.0003067649,0.000050358733,0.00008895716,0.0000060819257],"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":[0.00006518462,0.00013788027,0.32072493,0.000005455803,0.00018879447,0.000012019335,0.00016755416,0.0002898242,0.00028218733,0.6679378,0.0000986147,0.010089736],"study_design_scores_gemma":[0.001846821,0.00008969269,0.8553673,0.00008209651,0.0000131218885,0.000017808155,0.0004789403,0.0009986379,0.0016983028,0.10252759,0.036687445,0.0001922424],"about_ca_topic_score_codex":0.000050025643,"about_ca_topic_score_gemma":0.000025450878,"teacher_disagreement_score":0.5654102,"about_ca_system_score_codex":0.00011288816,"about_ca_system_score_gemma":0.0000051771663,"threshold_uncertainty_score":0.31966278},"labels":[],"label_agreement":null},{"id":"W2047180572","doi":"10.1080/00036840601131789","title":"Canadian regional labour market evolutions: a long-run restrictions SVAR analysis","year":2008,"lang":"en","type":"article","venue":"Applied Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Economics; Equity (law); Labour supply; Labour economics; Structural vector autoregression; Work (physics); Limiting; Supply and demand; Vector autoregression; Macroeconomics; Monetary policy; Monetary economics","score_opus":0.02385748594071377,"score_gpt":0.18559712987463234,"score_spread":0.16173964393391857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047180572","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":[0.83640957,0.000877176,0.003900654,0.0058106645,0.00031276382,0.0003563411,0.00092205004,0.00008414301,0.15132666],"genre_scores_gemma":[0.98562354,0.0036865913,0.0012361725,0.001414479,0.00026874337,0.00010671286,0.00023840684,0.000046418038,0.007378934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99736005,0.000012659016,0.0010839445,0.00087148853,0.000034104432,0.00063777313],"domain_scores_gemma":[0.9980876,0.000079961836,0.00050479657,0.00077003945,0.0000510576,0.000506589],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00039134274,0.00031367393,0.000840494,0.0016604676,0.00070305687,0.00010583582,0.0004922788,0.00024105332,0.002619492],"category_scores_gemma":[0.000026205418,0.00042274952,0.0005893233,0.0011126698,0.00014679333,0.00024983851,0.000066394474,0.00024132327,0.0017048209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022552442,0.00007657601,0.18214028,0.00000493257,0.0015038558,0.0000071219233,0.00011941497,0.019421631,5.7157365e-7,0.7847009,0.011858805,0.00014335696],"study_design_scores_gemma":[0.00062438793,0.000025556723,0.66935945,0.0000022956963,0.00017083401,0.00002919292,0.00007925425,0.023736617,0.0000023613234,0.06833156,0.2368105,0.000828004],"about_ca_topic_score_codex":0.21208169,"about_ca_topic_score_gemma":0.32334337,"teacher_disagreement_score":0.71636933,"about_ca_system_score_codex":0.0010997434,"about_ca_system_score_gemma":0.00029527527,"threshold_uncertainty_score":0.99982244},"labels":[],"label_agreement":null},{"id":"W2048184110","doi":"10.1007/s10109-006-0029-6","title":"Geographic clustering of firms and urban form: a multivariate analysis","year":2006,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Cluster analysis; Economic geography; Geography; Decentralization; Regional science; Relation (database); Work (physics); Space (punctuation); Spatial analysis; Cluster (spacecraft); Economics; Computer science; Data mining; Statistics; Engineering; Mathematics","score_opus":0.012925965833960915,"score_gpt":0.1989878162057551,"score_spread":0.18606185037179418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048184110","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":[0.968245,0.006617901,0.023521263,0.00037758079,0.00024413582,0.00010226643,0.000060338294,0.000006539034,0.0008249369],"genre_scores_gemma":[0.9988135,0.00049492763,0.00038104245,0.000018819563,0.00020467855,0.000003413243,0.000006007977,0.000012200488,0.00006540525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757093,0.000029713352,0.001839103,0.00023872204,0.000091806476,0.00022975203],"domain_scores_gemma":[0.99759364,0.00008896986,0.0018523957,0.00020429053,0.00013064746,0.00013004085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010547224,0.00016338233,0.0011460589,0.0017010823,0.000077849145,0.00010105645,0.0002227964,0.00013624973,0.000029603454],"category_scores_gemma":[0.00003340417,0.00014680062,0.00088608236,0.0010819174,0.000111430156,0.00019948019,0.000049804807,0.00017525071,0.0000027320393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003643675,0.000099987905,0.94114935,0.000047505433,0.0015182219,0.0000064091178,0.000046047724,0.007907742,0.000030199504,0.04901474,0.00005389436,0.000089484674],"study_design_scores_gemma":[0.00093932246,0.00021013682,0.82591015,0.00005159268,0.00041508971,0.000035270314,0.00006339127,0.153016,0.0000037494744,0.014575483,0.0044939076,0.0002859016],"about_ca_topic_score_codex":0.010576723,"about_ca_topic_score_gemma":0.00042309155,"teacher_disagreement_score":0.14510825,"about_ca_system_score_codex":0.0000245717,"about_ca_system_score_gemma":0.000009159092,"threshold_uncertainty_score":0.9960119},"labels":[],"label_agreement":null},{"id":"W2050373523","doi":"10.1177/0042098013498623","title":"Zipf’s Law and Canadian Urban Growth","year":2013,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Zipf's law; Economic geography; Geography; Distribution (mathematics); Identification (biology); Econometrics; Regional science; Economics; Statistics; Mathematics; Ecology","score_opus":0.031744501688628385,"score_gpt":0.19377593777503843,"score_spread":0.16203143608641005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050373523","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42942607,0.066203535,0.000060766546,0.027148642,0.00067757326,0.000450922,0.00017428696,0.00006250908,0.4757957],"genre_scores_gemma":[0.99245834,0.0013455807,0.00012556699,0.002448686,0.00015174886,0.00003752748,0.0000061678484,0.0000142255185,0.0034121673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990709,0.0000053675603,0.00032716634,0.00030894432,0.000016463267,0.0002711795],"domain_scores_gemma":[0.99946666,0.00003680864,0.00011077056,0.00016068509,0.000057876827,0.00016722654],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012666808,0.00013556961,0.0003947419,0.00017260658,0.00023317832,0.0000941895,0.00011302951,0.00005062577,0.00022742114],"category_scores_gemma":[0.000043914224,0.00013827872,0.00008194548,0.000100969686,0.00015029748,0.0001870344,0.000054547796,0.0000688896,0.0009041617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.134385e-7,0.0000070325136,0.11112367,0.000008925681,0.0002103159,0.0000014710565,0.00043832036,0.0000016620969,6.66121e-7,0.83591735,0.052193437,0.0000964249],"study_design_scores_gemma":[0.00042316088,0.00007380209,0.09371998,0.000014565924,0.00002936509,0.0000035607586,0.0005458286,0.0011700365,0.000011733852,0.41577914,0.48760146,0.0006273766],"about_ca_topic_score_codex":0.3179262,"about_ca_topic_score_gemma":0.13971244,"teacher_disagreement_score":0.56303227,"about_ca_system_score_codex":0.000105257684,"about_ca_system_score_gemma":0.000012462607,"threshold_uncertainty_score":0.99987376},"labels":[],"label_agreement":null},{"id":"W2051279582","doi":"10.3917/reru.061.0081","title":"Les déterminants du choix de destination : une analyse économétrique des flux migratoires intermétropolitains et internationaux au Canada","year":2006,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Art","score_opus":0.019724573168069748,"score_gpt":0.22881076290853838,"score_spread":0.20908618974046864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051279582","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":[0.8904161,0.009091605,0.009236553,0.07624435,0.0009738985,0.0003770348,0.001284274,0.000041905016,0.012334322],"genre_scores_gemma":[0.9480911,0.0034470493,0.0028393785,0.00117737,0.0018338638,0.00010238702,0.0007318317,0.00010528685,0.041671757],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955651,0.00014101616,0.0020873942,0.0011134632,0.00008005798,0.0010129749],"domain_scores_gemma":[0.99672663,0.0005996025,0.0014561814,0.0006006056,0.00028540526,0.00033155226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008941597,0.00066160946,0.001259098,0.0007511122,0.0004786472,0.00029271928,0.00073278084,0.00030746183,0.00046936958],"category_scores_gemma":[0.0004063027,0.0008245625,0.0006928856,0.00056005217,0.00049658725,0.0007091876,0.00020078242,0.0004345907,0.00010787562],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051599265,0.00035364047,0.48686546,0.00018261517,0.00044944166,0.00011124556,0.00034848455,0.030038495,0.0000100343195,0.4637789,0.0070687314,0.010741349],"study_design_scores_gemma":[0.001137191,0.00011789012,0.35158625,0.00034024348,0.00013810788,0.00018397914,0.00017503175,0.20142938,0.00006632803,0.042725533,0.40104657,0.0010534752],"about_ca_topic_score_codex":0.9774711,"about_ca_topic_score_gemma":0.9816621,"teacher_disagreement_score":0.42105338,"about_ca_system_score_codex":0.010934619,"about_ca_system_score_gemma":0.0018962013,"threshold_uncertainty_score":0.9994205},"labels":[],"label_agreement":null},{"id":"W2053113397","doi":"10.1080/00420980600831924","title":"On the Non-city Foundations of Economic Growth and the Unverifiability of the 'Jacobs Hypothesis': A Reply to Peter Taylor's Comment","year":2006,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Argument (complex analysis); Economics; Variable (mathematics); Positive economics; Mathematical economics; Neoclassical economics; Mathematics; Medicine","score_opus":0.0401510755888303,"score_gpt":0.22023738426275646,"score_spread":0.18008630867392617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053113397","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":[0.9284292,0.00061077304,0.00015741357,0.059345886,0.00017179415,0.00046311488,0.0001379499,0.0000042699035,0.010679595],"genre_scores_gemma":[0.9974455,0.00014791473,0.000066242064,0.0019318765,0.00005572051,0.000060110513,0.0000010623552,0.0000073924775,0.0002841782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989505,0.000038922346,0.0006059434,0.00024971398,0.000031969877,0.00012295312],"domain_scores_gemma":[0.99818516,0.0008598246,0.00043092595,0.0004678159,0.00003802845,0.000018270224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006898524,0.00012286441,0.00047042136,0.00006101145,0.00024317495,0.000029792174,0.00026812014,0.00002194693,0.000033488723],"category_scores_gemma":[0.00024425847,0.00006777761,0.00023445828,0.00010687812,0.0004946143,0.000042327738,0.00016203236,0.00006777871,0.000016944721],"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":[0.000059970327,0.00007220548,0.08535727,0.000022011774,0.00039951954,5.751957e-8,0.0008081541,0.0004545876,0.000005262758,0.8986698,0.014085311,0.000065867185],"study_design_scores_gemma":[0.0010092708,0.00011613591,0.34315372,0.00002495235,0.000092347924,5.34341e-7,0.00039098895,0.0028336484,0.000411825,0.6256639,0.026030665,0.0002720153],"about_ca_topic_score_codex":0.0032793207,"about_ca_topic_score_gemma":0.0006292902,"teacher_disagreement_score":0.27300587,"about_ca_system_score_codex":0.00007786346,"about_ca_system_score_gemma":0.000010685673,"threshold_uncertainty_score":0.49573737},"labels":[],"label_agreement":null},{"id":"W2053938886","doi":"10.1080/00420980701426640","title":"Intrametropolitan Employment Structure: Polycentricity, Scatteration, Dispersal and Chaos in Toronto, Montreal and Vancouver, 1996-2001","year":2007,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Polycentricity; Economic geography; Biological dispersal; Scale (ratio); Geography; Urban spatial structure; Regional science; Urban structure; Economics; Sociology; Corporate governance; Urban planning; Civil engineering; Cartography; Demography; Population; Engineering","score_opus":0.018335742593996944,"score_gpt":0.24176217710814543,"score_spread":0.22342643451414848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053938886","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":[0.95248854,0.04321604,0.00034187647,0.00075387623,0.00037254265,0.00017191452,0.00008879977,0.0000139769845,0.0025524262],"genre_scores_gemma":[0.9948808,0.0040317983,0.00021735462,0.00028687215,0.00017926883,0.000005453259,0.0000072569997,0.000012499891,0.00037869884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987146,0.000008726197,0.0005274942,0.0003936199,0.000035516885,0.00032003684],"domain_scores_gemma":[0.99948424,0.000087387874,0.00016926735,0.00013643553,0.00002508843,0.00009755776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002870273,0.0001729224,0.00047462175,0.00016937616,0.00012155335,0.000052849948,0.00007331163,0.00005830009,0.000060671762],"category_scores_gemma":[0.000066572655,0.00017373532,0.00005097886,0.000114857816,0.00012646364,0.0001943268,0.00009414521,0.00007335501,0.0000030776218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030864034,0.000053155625,0.92146873,0.000015539743,0.00022589466,0.0000062492873,0.0014029797,0.00000973976,0.000005569887,0.069352634,0.004051272,0.0033773407],"study_design_scores_gemma":[0.0013056054,0.00015722969,0.9557052,0.000018941882,0.000035255063,0.0000048324823,0.0031599381,0.002766397,0.000033708195,0.029218026,0.0070675607,0.0005272566],"about_ca_topic_score_codex":0.045648254,"about_ca_topic_score_gemma":0.47200775,"teacher_disagreement_score":0.42635947,"about_ca_system_score_codex":0.00051828154,"about_ca_system_score_gemma":0.0000065378094,"threshold_uncertainty_score":0.96070683},"labels":[],"label_agreement":null},{"id":"W2054093522","doi":"10.1080/00420980500150839","title":"Cities and National Economic Growth: A Reappraisal","year":2005,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Economies of agglomeration; Socioeconomic status; Economic geography; Economics; Development economics; National economy; Economic system; Economy; Economic growth; Sociology; Population","score_opus":0.053301986667030954,"score_gpt":0.2533342984043568,"score_spread":0.20003231173732583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054093522","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":[0.66199625,0.05804686,0.0002368303,0.029922161,0.0006280363,0.00019759839,0.00036893383,0.00008954346,0.24851377],"genre_scores_gemma":[0.9919455,0.0033240893,0.00050515163,0.00058747653,0.00058721856,0.000023938677,0.00000805633,0.000012886092,0.0030056667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906904,0.0000053238573,0.00041927004,0.00031641455,0.000023886143,0.00016608935],"domain_scores_gemma":[0.99954563,0.00009638066,0.0001751546,0.00009231003,0.00004210365,0.000048412083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002625372,0.00013074055,0.00038195372,0.00018462214,0.00014498836,0.00005611363,0.000094461066,0.00004143425,0.000120898425],"category_scores_gemma":[0.000086080705,0.00014226705,0.000098982135,0.000048132784,0.0001476288,0.00021843427,0.00007714124,0.000058389393,0.00048112974],"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":[0.0000057715993,0.000013594005,0.04162639,0.000008251831,0.00028387457,4.2421127e-7,0.0005391553,0.00008618814,7.860367e-7,0.92849165,0.02859253,0.00035135954],"study_design_scores_gemma":[0.0007680694,0.00006719962,0.026969021,0.0000124295975,0.000024218793,0.000009582526,0.0004691077,0.008685641,0.000025624944,0.23017274,0.7322135,0.0005828868],"about_ca_topic_score_codex":0.00019585316,"about_ca_topic_score_gemma":0.00029426572,"teacher_disagreement_score":0.703621,"about_ca_system_score_codex":0.000098117656,"about_ca_system_score_gemma":0.000015234288,"threshold_uncertainty_score":0.618411},"labels":[],"label_agreement":null},{"id":"W2054101969","doi":"10.1007/s10109-007-0043-3","title":"Business establishment mobility behavior in urban areas: a microanalytical model for the City of Hamilton in Ontario, Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Econometric model; Economic geography; Exploratory analysis; Business; Geography; Econometrics; Regional science; Economics; Computer science","score_opus":0.02713530499061388,"score_gpt":0.21287351846595226,"score_spread":0.18573821347533837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054101969","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":[0.98884755,0.0009812809,0.008960186,0.0004636409,0.00027253802,0.00031044972,0.000052021245,9.412205e-7,0.00011138728],"genre_scores_gemma":[0.99963266,0.00008175262,0.00008914462,0.000048299273,0.00005535845,0.000017011474,0.0000035048683,0.000007810879,0.000064446525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997393,0.00001567905,0.0019810353,0.00021822621,0.00010859029,0.00028345664],"domain_scores_gemma":[0.99831265,0.0002553026,0.00089217443,0.00022088463,0.00020114468,0.00011786508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027514705,0.00013436035,0.00078909466,0.00047292796,0.000041126106,0.000043009928,0.0003277728,0.00011450881,0.00001708684],"category_scores_gemma":[0.00009874439,0.00010759366,0.00031158805,0.0005157617,0.000076689954,0.00010988836,0.000026151823,0.00030265638,1.7888942e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013869462,0.00028911768,0.9811326,0.000024934661,0.000080946644,0.000009166339,0.000119411096,0.012692917,0.0000040658997,0.0053793094,0.00007819767,0.00005061429],"study_design_scores_gemma":[0.00065120263,0.00005120526,0.92651206,0.000037516427,0.000027369775,0.000009058055,0.00011274694,0.069539025,0.0000023348223,0.0012771306,0.0016572009,0.0001231219],"about_ca_topic_score_codex":0.96005315,"about_ca_topic_score_gemma":0.98920584,"teacher_disagreement_score":0.05684611,"about_ca_system_score_codex":0.00064605835,"about_ca_system_score_gemma":0.00028171236,"threshold_uncertainty_score":0.43875423},"labels":[],"label_agreement":null},{"id":"W2054274060","doi":"10.1016/j.nonrwa.2006.02.008","title":"Equilibrium structure of a bidimensional asymmetric city","year":2006,"lang":"en","type":"article","venue":"Nonlinear Analysis Real World Applications","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"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":"Constant (computer programming); Boundary (topology); Residence; Mathematical economics; Symmetric equilibrium; Dynamic equilibrium; Mathematics; Statistical physics; Mathematical optimization; Computer science; Economics; Physics; Mathematical analysis; Thermodynamics; Game theory; Equilibrium selection","score_opus":0.016206175067977623,"score_gpt":0.23528050182819055,"score_spread":0.21907432676021293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054274060","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":[0.8134211,0.0011526026,0.05143991,0.0026558086,0.00009264816,0.00062769995,0.005030492,0.0001016242,0.12547815],"genre_scores_gemma":[0.98766214,0.000057991798,0.006541064,0.0000714157,0.00023766425,0.00002380555,0.0008664524,0.00001689357,0.004522547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99816906,0.00001205959,0.0010020321,0.00051289814,0.00008025,0.00022371348],"domain_scores_gemma":[0.9985519,0.00008487733,0.000638252,0.00052521814,0.0001132934,0.00008646748],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001732432,0.000173752,0.000719061,0.0016677558,0.00008684851,0.00004223114,0.00029766466,0.000079723024,0.001077615],"category_scores_gemma":[0.000010260959,0.00018717782,0.0006431782,0.005103946,0.00009120408,0.00008851148,0.000069219066,0.00012287167,0.00010290097],"study_design_candidate":"theoretical_or_conceptual","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":[0.000013173518,0.0003078076,0.23339528,0.000014491616,0.0012156396,5.9608686e-7,0.000009311421,0.017984523,0.0003703862,0.7455171,0.0005482926,0.00062344107],"study_design_scores_gemma":[0.00067120703,0.000038074155,0.39300925,0.0000051513557,0.0010002699,0.0000014697245,0.000017414863,0.27542117,0.0012747413,0.13512045,0.19257946,0.00086133677],"about_ca_topic_score_codex":0.007524296,"about_ca_topic_score_gemma":0.008858866,"teacher_disagreement_score":0.6103966,"about_ca_system_score_codex":0.000082376915,"about_ca_system_score_gemma":0.000028864592,"threshold_uncertainty_score":0.99983555},"labels":[],"label_agreement":null},{"id":"W2055418941","doi":"10.1093/jeg/lbr003","title":"Collaboration, information and the geography of innovation in knowledge intensive business services","year":2011,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; University of Ottawa","funders":"","keywords":"Economic geography; Space (punctuation); Variation (astronomy); Geographical distance; Knowledge management; Geography; Regional science; Business; Marketing; Computer science; Sociology","score_opus":0.01443464713622607,"score_gpt":0.1977698319284521,"score_spread":0.18333518479222602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055418941","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":[0.9922578,0.0018319236,0.00041174176,0.0009956897,0.00033067152,0.00013119912,0.000032699136,0.0000023016448,0.0040059756],"genre_scores_gemma":[0.9977419,0.001635656,0.00031526605,0.00023364482,0.000049445873,0.0000056065364,0.000009584141,0.0000056027484,0.0000033074684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977428,0.000020433074,0.0019983163,0.000107525004,0.000020556767,0.00011042012],"domain_scores_gemma":[0.9963972,0.000055474902,0.0026487978,0.00014148776,0.0007262541,0.00003080869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012550505,0.000112602225,0.00052553124,0.0019163648,0.000047483685,0.0000664582,0.00021926314,0.00006996677,0.000052324056],"category_scores_gemma":[0.00006747872,0.00009569706,0.00013876166,0.00093623396,0.00017662017,0.0010945615,0.000040369658,0.00010603661,0.000013477131],"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":[0.00020032654,0.000041238633,0.7404347,0.00004311757,0.00022528255,3.70254e-7,0.002211161,0.0003583076,0.0000012011069,0.2556371,0.00009347785,0.0007537358],"study_design_scores_gemma":[0.0023208475,0.00007756875,0.8456459,0.000041523384,0.000030065086,0.000008824128,0.00142399,0.0033293148,0.000019982306,0.14207472,0.0048647965,0.00016245361],"about_ca_topic_score_codex":0.0016383613,"about_ca_topic_score_gemma":0.00037425966,"teacher_disagreement_score":0.11356238,"about_ca_system_score_codex":0.000030236915,"about_ca_system_score_gemma":0.000048819013,"threshold_uncertainty_score":0.3902413},"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":"W2056118104","doi":"10.1177/0160017605278998","title":"High-Poverty Nonmetropolitan Counties in America: Can Economic Development Help?","year":2005,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Poverty; Census; Human capital; Basic needs; Economics; Development economics; Economic growth; Demographic economics; Population; Sociology; Demography","score_opus":0.03182409665115099,"score_gpt":0.2591989301201458,"score_spread":0.22737483346899479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056118104","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34098557,0.0837728,0.0021529852,0.48708576,0.0027344134,0.0011840699,0.00043462208,0.000101827645,0.081547946],"genre_scores_gemma":[0.905841,0.07555734,0.0039415504,0.012297938,0.00043032112,0.00008209883,0.00007406963,0.000020228737,0.0017554702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997807,0.000010434408,0.0010053229,0.0006385887,0.0001776082,0.00036100444],"domain_scores_gemma":[0.9986721,0.00004451599,0.0008066179,0.00025784504,0.00007413554,0.00014478322],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000942935,0.00018775898,0.0005175928,0.00051147165,0.00013180103,0.0001115744,0.00095640327,0.000039822666,0.0011821875],"category_scores_gemma":[0.00014292635,0.00019040446,0.00016115395,0.0004015868,0.00030059958,0.0005296759,0.00013711571,0.0001230132,0.0014450293],"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":[0.000009301389,0.00012632113,0.023270383,0.000057063506,0.00008344939,0.000004265977,0.000094148854,0.0012342475,0.000012815888,0.9414209,0.010757094,0.022930006],"study_design_scores_gemma":[0.00021629994,0.000014940212,0.0191177,0.00020941172,0.000004211678,0.0000104433975,0.000022333554,0.0043908483,0.000021522486,0.011098649,0.9645675,0.00032614233],"about_ca_topic_score_codex":0.003868891,"about_ca_topic_score_gemma":0.0018306333,"teacher_disagreement_score":0.9538104,"about_ca_system_score_codex":0.0024169385,"about_ca_system_score_gemma":0.00030701293,"threshold_uncertainty_score":0.9997309},"labels":[],"label_agreement":null},{"id":"W2057273190","doi":"10.1111/j.1564-9148.2014.00214.x","title":"Diferencias regionales de las primas por calificación en la China urbana. Repercusiones en el crecimiento y en la igualdad","year":2014,"lang":"es","type":"article","venue":"Revista Internacional del Trabajo","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.016047218380352318,"score_gpt":0.24780210424201685,"score_spread":0.23175488586166454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057273190","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":[0.9560528,0.0051907445,0.011522285,0.009394454,0.00043099347,0.00036954603,0.00088350405,0.00006952057,0.016086187],"genre_scores_gemma":[0.977924,0.011458544,0.0010405293,0.0005625305,0.0012271442,0.000062208805,0.00030177194,0.00012946498,0.0072938204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995034,0.00063761836,0.0019204962,0.0014061923,0.00025506865,0.0007466638],"domain_scores_gemma":[0.996136,0.0013708354,0.0010063727,0.00088708685,0.0001297844,0.00046989467],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030607334,0.0007508797,0.0015223705,0.00068591075,0.00025286552,0.0006322162,0.00124488,0.00063291495,0.0004979702],"category_scores_gemma":[0.0011044008,0.0008003399,0.0012428063,0.00031686973,0.00027079813,0.00030458026,0.00036024943,0.0007817409,0.0005981075],"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":[0.00015223272,0.00048533376,0.08769868,0.00025623638,0.00072261726,0.000051319003,0.0010182044,0.0005254316,0.00010046351,0.90098846,0.0036820779,0.0043189423],"study_design_scores_gemma":[0.0008946458,0.00020620009,0.29029986,0.00057512685,0.00017869279,0.00017954652,0.00013072097,0.026497353,0.000040607105,0.019773716,0.6600698,0.0011536828],"about_ca_topic_score_codex":0.0019285667,"about_ca_topic_score_gemma":0.00018249999,"teacher_disagreement_score":0.88121474,"about_ca_system_score_codex":0.0006394407,"about_ca_system_score_gemma":0.00019731013,"threshold_uncertainty_score":0.9994447},"labels":[],"label_agreement":null},{"id":"W2057287324","doi":"","title":"Structures spatiales de l'économie montréalaise: le high tech joue-t-il un rôle?","year":2002,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01467450709602084,"score_gpt":0.18043165327360725,"score_spread":0.1657571461775864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057287324","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":[0.49975052,0.043870915,0.103370674,0.273312,0.0009418286,0.00047279944,0.0008332167,0.00014370999,0.07730434],"genre_scores_gemma":[0.9086843,0.013020682,0.025369383,0.00042254353,0.00011943722,0.000036670048,0.00016055975,0.00007187834,0.052114516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961876,0.0009437833,0.0011449377,0.00093873625,0.00009831293,0.0006866017],"domain_scores_gemma":[0.99588805,0.00079587166,0.0009927042,0.0015117001,0.0004986619,0.00031299732],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028221554,0.000409562,0.0007716334,0.00037092925,0.0006822446,0.00059892243,0.0010937556,0.00037682636,0.0032629643],"category_scores_gemma":[0.0007494337,0.0005485901,0.00046714462,0.0004972291,0.00046770961,0.00041868846,0.00034481497,0.00043827086,0.000519654],"study_design_candidate":"theoretical_or_conceptual","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":[0.000007393105,0.00048850453,0.011716268,0.00004931376,0.0002620496,0.0000076784845,0.001466054,0.00082332594,0.00008364629,0.90734035,0.0040820483,0.07367337],"study_design_scores_gemma":[0.0019611425,0.0000032245932,0.025309715,0.000379708,0.00011895854,0.0000406919,0.00022705963,0.27613825,0.009087571,0.23341598,0.45195717,0.0013605492],"about_ca_topic_score_codex":0.03859125,"about_ca_topic_score_gemma":0.016363718,"teacher_disagreement_score":0.6739244,"about_ca_system_score_codex":0.00041933302,"about_ca_system_score_gemma":0.00012609403,"threshold_uncertainty_score":0.99969655},"labels":[],"label_agreement":null},{"id":"W2058309452","doi":"10.1016/j.worlddev.2006.05.006","title":"Opening the Ivory Tower to Business: University–Industry Linkages and the Development of Knowledge-Intensive Clusters in Asian Cities","year":2007,"lang":"en","type":"article","venue":"World Development","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":108,"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":"Dynamism; Ivory tower; Prosperity; Pace; Nature versus nurture; Economic growth; Heading (navigation); Adaptability; Business; Economic geography; Political science; Economics; Management; Geography; Sociology","score_opus":0.027456342640367757,"score_gpt":0.21617933019479282,"score_spread":0.18872298755442507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058309452","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":[0.93048894,0.000751832,0.004756705,0.010389735,0.00027705415,0.0003778488,0.00000417798,0.000009440571,0.05294425],"genre_scores_gemma":[0.9862205,0.000033061926,0.0032548462,0.00047409604,0.000028917728,0.000006185283,0.000003827158,0.000009757417,0.009968813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987796,0.000018840288,0.00065592205,0.00027128076,0.000040794206,0.00023357401],"domain_scores_gemma":[0.99926823,0.00016408265,0.00022997793,0.0001654765,0.000105940424,0.00006630695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016130821,0.00013983996,0.00036640937,0.0005164209,0.00021459696,0.000042458872,0.00030335088,0.00006450913,0.00007571737],"category_scores_gemma":[0.00007646477,0.00010853754,0.000048891274,0.0006405555,0.00013580153,0.00007877761,0.00027354737,0.00018527315,0.000034773864],"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":[0.0005712707,0.00019429091,0.53891265,0.00011933707,0.001080668,0.000044939527,0.16507456,0.0024188608,0.000011390706,0.21140006,0.003167255,0.07700475],"study_design_scores_gemma":[0.0010482635,0.00000665249,0.71326387,0.00011268735,0.000009370638,0.0000029196292,0.013904474,0.00046042577,0.00008159316,0.00088805956,0.26988506,0.0003366455],"about_ca_topic_score_codex":0.00024536523,"about_ca_topic_score_gemma":0.009518762,"teacher_disagreement_score":0.26671782,"about_ca_system_score_codex":0.00022678872,"about_ca_system_score_gemma":0.00013038257,"threshold_uncertainty_score":0.53116924},"labels":[],"label_agreement":null},{"id":"W2060136803","doi":"10.1007/s11365-008-0080-5","title":"The next Silicon Valley? On the relationship between geographical clustering and public policy","year":2008,"lang":"en","type":"article","venue":"International Entrepreneurship and Management Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Silicon valley; Cluster analysis; Regional policy; Public policy; Cluster (spacecraft); Entrepreneurship; Economic geography; Regional science; Range (aeronautics); Political science; Geography; Business; Economics; Economic growth; Computer science; Engineering","score_opus":0.09274651472454296,"score_gpt":0.25237625796709556,"score_spread":0.1596297432425526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060136803","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":[0.8693816,0.00062613946,0.0008156401,0.11426142,0.0002739303,0.00012002668,0.000010883886,0.0000121407875,0.014498236],"genre_scores_gemma":[0.9889571,0.008720206,0.0000298488,0.0008243288,0.0003993329,0.000011698579,0.000005104688,0.000009634738,0.0010427132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99898255,0.00003811447,0.0004369726,0.00024461452,0.000092347895,0.00020540386],"domain_scores_gemma":[0.99889934,0.00052327197,0.00026686012,0.00016949988,0.000028915989,0.000112119116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005729204,0.000118306925,0.00014551911,0.00032851816,0.0007990136,0.00051948294,0.00033632893,0.00004055131,0.000050109913],"category_scores_gemma":[0.0002492577,0.00008402631,0.00012109066,0.00013263995,0.00015726541,0.00020905204,0.00015489403,0.00023461365,0.000033187927],"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":[0.000008428999,0.000012247656,0.47194815,0.000001631538,0.00013126257,0.0000039826527,0.00004461931,0.000035483718,1.4555248e-7,0.526029,0.0002148715,0.0015701692],"study_design_scores_gemma":[0.00032120448,0.000028502198,0.758275,0.000011465974,0.000010639899,0.000053169813,0.00008066202,0.0016265687,5.563956e-7,0.20637639,0.03310384,0.00011200348],"about_ca_topic_score_codex":0.0001358264,"about_ca_topic_score_gemma":0.000058110338,"teacher_disagreement_score":0.31965262,"about_ca_system_score_codex":0.00005256512,"about_ca_system_score_gemma":0.000009737801,"threshold_uncertainty_score":0.61454475},"labels":[],"label_agreement":null},{"id":"W2061978760","doi":"10.1111/1467-8306.93125","title":"The Random Spatial Economy and Its Evolution","year":2003,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Geography; Economic geography; Economy; Economics","score_opus":0.015554128441932184,"score_gpt":0.21727603239717333,"score_spread":0.20172190395524114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061978760","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":[0.9626876,0.0027309053,0.0005423993,0.01291942,0.00022897498,0.00024551654,0.000072264134,0.000007670379,0.020565217],"genre_scores_gemma":[0.99792314,0.0013824736,0.000023219283,0.0002542539,0.00001960015,0.000008346539,0.0000014652785,0.000006779539,0.00038071087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904317,0.000067516325,0.00051723927,0.00015868765,0.00004375595,0.0001696075],"domain_scores_gemma":[0.9977525,0.00019711256,0.0017163046,0.00018291967,0.00011388299,0.00003727172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010724277,0.0000853215,0.00034089375,0.0000926307,0.00016010721,0.000027600283,0.00018426681,0.00003716226,0.000021417301],"category_scores_gemma":[0.0003930532,0.00006737283,0.0003186926,0.00031721286,0.00014684224,0.000086553424,0.000026377556,0.00006448296,0.000006636891],"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":[0.00002623743,0.000032611664,0.6899509,0.0000046065447,0.000515605,1.9151337e-8,0.00008856884,0.00050119526,0.000008370322,0.30681887,0.0008988596,0.0011541968],"study_design_scores_gemma":[0.0011539119,0.00015088859,0.74908596,0.000010708872,0.000057517373,4.9326854e-7,0.00047067745,0.0043544415,0.0004840069,0.151799,0.09213097,0.00030142223],"about_ca_topic_score_codex":0.0022094487,"about_ca_topic_score_gemma":0.00035545163,"teacher_disagreement_score":0.15501988,"about_ca_system_score_codex":0.000033747154,"about_ca_system_score_gemma":0.000021890824,"threshold_uncertainty_score":0.33400404},"labels":[],"label_agreement":null},{"id":"W2063068181","doi":"10.1177/0160017610383280","title":"Persistence of Unemployment in the Canadian Provinces","year":2010,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Unit root; Persistence (discontinuity); Unemployment; Statistic; Econometrics; Economics; Unemployment rate; Statistics; Long memory; Unit root test; Mathematics; Demographic economics; Cointegration; Macroeconomics","score_opus":0.06866013356639424,"score_gpt":0.2743355485171323,"score_spread":0.2056754149507381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063068181","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2914743,0.01865049,0.000071510396,0.3969916,0.0013118518,0.0008816826,0.00011113858,0.000010909482,0.29049647],"genre_scores_gemma":[0.99131125,0.005704583,0.00021627037,0.0025396433,0.000050968967,0.000024934026,0.000005884568,0.0000027622173,0.00014367151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989364,0.0000075841863,0.0004558875,0.00026580278,0.00016175977,0.00017256835],"domain_scores_gemma":[0.99930197,0.00004457632,0.0002562508,0.00021252761,0.00010477933,0.000079905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001822607,0.00007214943,0.00019739826,0.00027799993,0.000107001855,0.0000615615,0.0011549394,0.000025407016,0.00030299096],"category_scores_gemma":[0.00023288511,0.00005527591,0.00012319595,0.00048815503,0.00040731387,0.00022139522,0.000034861776,0.00013277217,0.00008689079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.1069853e-7,0.00002955333,0.025734896,0.00002165004,0.000008738073,0.0000018526083,0.000070834816,0.000019238703,0.000020659438,0.97171605,0.00046488998,0.0019107523],"study_design_scores_gemma":[0.0001349053,0.00003124875,0.11047999,0.00028809797,0.0000071440127,0.000035158235,0.000054589367,0.0036408124,0.000014814143,0.06532856,0.8197556,0.00022910029],"about_ca_topic_score_codex":0.07800113,"about_ca_topic_score_gemma":0.23716493,"teacher_disagreement_score":0.90638745,"about_ca_system_score_codex":0.00017859283,"about_ca_system_score_gemma":0.00033447833,"threshold_uncertainty_score":0.92813855},"labels":[],"label_agreement":null},{"id":"W2063229893","doi":"10.1111/j.1744-7976.2008.01139.x","title":"Examining the Adoption of Product and Process Innovations in the Canadian Food Processing Industry","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Product (mathematics); Innovation process; Political science; Economics; Humanities; Management; Mathematics; Operations management; Work in process; Philosophy","score_opus":0.055567319647674786,"score_gpt":0.1847240371504529,"score_spread":0.12915671750277813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063229893","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":[0.97196764,0.0010683055,0.0000043080126,0.02378095,0.00018800718,0.00026768332,0.00012228478,0.0000020735442,0.0025987304],"genre_scores_gemma":[0.998448,0.00007214908,0.000062676416,0.0009408346,0.0003484006,0.000011173963,0.000027348628,0.000012334726,0.000077042394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976363,0.000028540733,0.0014070154,0.00034782212,0.000011955514,0.0005683632],"domain_scores_gemma":[0.99769884,0.000059404643,0.0012840538,0.00024848478,0.00019464125,0.0005145565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012106848,0.0002438066,0.00060977374,0.00077653816,0.00040759443,0.00029955446,0.0006796859,0.00019041516,0.000042150525],"category_scores_gemma":[0.00015522496,0.00018340968,0.00012947574,0.0005052306,0.00017299336,0.00067207264,0.000009534586,0.0006292772,0.000005663213],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032545697,0.00006121823,0.24461615,0.00009027492,0.00032771836,0.000031413976,0.014385483,0.025764517,0.00001315049,0.7038435,0.0012742458,0.0095598055],"study_design_scores_gemma":[0.0004884886,0.00037200068,0.9500367,0.00008010218,0.000036974056,0.00032895128,0.0053708944,0.0007240502,0.000011299862,0.03564151,0.0064799227,0.00042910053],"about_ca_topic_score_codex":0.23397662,"about_ca_topic_score_gemma":0.98140967,"teacher_disagreement_score":0.74743307,"about_ca_system_score_codex":0.0010104694,"about_ca_system_score_gemma":0.0009960035,"threshold_uncertainty_score":0.7711244},"labels":[],"label_agreement":null},{"id":"W2063386367","doi":"10.1177/0969776407077188","title":"Observing Regularities in Location Patterns","year":2007,"lang":"en","type":"article","venue":"European Urban and Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Economic geography; Metropolitan area; Economies of agglomeration; Census; Geography; Population; Crowding; Regional science; Demographic economics; Econometrics; Demography; Economics; Economic growth; Sociology; Psychology","score_opus":0.08253045674241577,"score_gpt":0.23393753121853805,"score_spread":0.15140707447612228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063386367","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":[0.9287203,0.039132226,0.0010721722,0.004204283,0.00021503492,0.0000996404,0.000014099588,0.00002819205,0.026514037],"genre_scores_gemma":[0.99387586,0.0034425287,0.00013507035,0.00058796356,0.00021657711,0.0000020552397,0.000011095467,0.000015423368,0.0017134459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900544,0.000017687351,0.00046481032,0.00029359164,0.000028468892,0.0001899949],"domain_scores_gemma":[0.99957275,0.00006134848,0.00015906406,0.00012293982,0.00003507319,0.000048803602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008118813,0.000117460826,0.0002747547,0.00019500736,0.00011855437,0.000035637062,0.00010396799,0.000024711095,0.000012179861],"category_scores_gemma":[0.000044375356,0.00011905811,0.00006192658,0.00014228339,0.000105950174,0.00010460977,0.00008509223,0.00007775569,0.000052500833],"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":[0.00002000946,0.000047569578,0.5494133,0.00005705769,0.0001480909,0.00003336538,0.0022005953,0.00010200851,0.0000047086896,0.44373894,0.0027695985,0.0014647606],"study_design_scores_gemma":[0.0003224478,0.00003009174,0.9250848,0.00006443314,0.000005144492,0.00000440675,0.0013178546,0.0003170437,0.0000033025876,0.014120224,0.058502294,0.00022793164],"about_ca_topic_score_codex":0.00034657746,"about_ca_topic_score_gemma":0.0006520149,"teacher_disagreement_score":0.42961872,"about_ca_system_score_codex":0.00006260365,"about_ca_system_score_gemma":0.000003579705,"threshold_uncertainty_score":0.4855049},"labels":[],"label_agreement":null},{"id":"W2063689924","doi":"10.5539/ibr.v2n3p176","title":"Business Clusters in China: from a Distinctive Perspective","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Perspective (graphical); Economic geography; Cluster (spacecraft); Fragmentation (computing); Business; Focus (optics); Distribution (mathematics); Economy; Economic system; Economics; Political science; Computer science","score_opus":0.05413998911395283,"score_gpt":0.3144136375475521,"score_spread":0.26027364843359924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063689924","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":[0.71798706,0.0009062939,0.009950852,0.11435931,0.00069371925,0.00031190025,0.00034688905,0.0000319653,0.15541202],"genre_scores_gemma":[0.99765086,0.00028990084,0.00027235664,0.00020482427,0.00038611452,0.00002689193,0.00010614589,0.000015111869,0.0010477832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983412,0.000032664848,0.0005089692,0.0006209601,0.00016365062,0.00033253184],"domain_scores_gemma":[0.9986876,0.00012712964,0.0001556535,0.00025394154,0.0007015687,0.00007407445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059623754,0.00014925134,0.00035131248,0.001008153,0.0001075721,0.00021316358,0.0006054682,0.00009318921,0.0007297524],"category_scores_gemma":[0.00071282766,0.000164394,0.00009447323,0.0012714623,0.000121373545,0.0005220067,0.0001264382,0.00030301118,0.0004746731],"study_design_candidate":"theoretical_or_conceptual","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":[0.00036091046,0.000678245,0.14533786,0.000006785186,0.00022876244,0.000091841466,0.0010124423,0.004183686,0.00007498117,0.8442866,0.0010622132,0.0026756676],"study_design_scores_gemma":[0.00043813148,0.000013679842,0.70863837,0.000020681473,0.0000013777037,0.000001488871,0.00010867239,0.00679266,0.0000041209014,0.27998403,0.0038541586,0.00014264346],"about_ca_topic_score_codex":0.036022265,"about_ca_topic_score_gemma":0.0017931904,"teacher_disagreement_score":0.56430256,"about_ca_system_score_codex":0.000812711,"about_ca_system_score_gemma":0.000069408,"threshold_uncertainty_score":0.97039694},"labels":[],"label_agreement":null},{"id":"W2064867826","doi":"10.3141/2077-22","title":"Office Decisions to Change Location","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Natural Resources; University of Alberta; University of Toronto","funders":"Transport Canada","keywords":"Hazard; Duration (music); Space (punctuation); Business; Hazard model; Distribution (mathematics); Risk analysis (engineering); Transport engineering; Operations research; Econometrics; Computer science; Economics; Actuarial science; Engineering","score_opus":0.2609611614642162,"score_gpt":0.36104121098922576,"score_spread":0.10008004952500954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064867826","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":[0.97617966,0.0006401677,0.0067373845,0.01449607,0.000500334,0.00075283233,0.00011122031,0.000014214642,0.0005681198],"genre_scores_gemma":[0.99345094,0.0029182548,0.0017586285,0.00028195675,0.000328123,0.0001023211,0.00001855847,0.000043523385,0.0010977028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958763,0.0002512703,0.0018048006,0.00047561605,0.00091001636,0.00068197085],"domain_scores_gemma":[0.9953099,0.0006632084,0.00059548026,0.0005387781,0.0024118822,0.0004807489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003686101,0.00019792042,0.0005719346,0.0017352642,0.00081203744,0.000092958195,0.0011226188,0.00015504065,0.00049220544],"category_scores_gemma":[0.00040974744,0.00017260324,0.00046178282,0.0030999149,0.00035403433,0.00067037874,0.000010891406,0.0011226634,0.00050479994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013356827,0.0006199856,0.8439362,0.00009304463,0.00035669366,0.00014071955,0.0077394643,0.005885828,0.00023284016,0.10262309,0.030211672,0.0068247993],"study_design_scores_gemma":[0.0006289898,0.0003237323,0.9097473,0.00010534716,0.000011806309,8.597661e-7,0.00035412624,0.0003500566,0.00007052885,0.009400774,0.07882575,0.00018071066],"about_ca_topic_score_codex":0.029429272,"about_ca_topic_score_gemma":0.0439109,"teacher_disagreement_score":0.09322231,"about_ca_system_score_codex":0.00030022857,"about_ca_system_score_gemma":0.00027075008,"threshold_uncertainty_score":0.97703385},"labels":[],"label_agreement":null},{"id":"W2065094228","doi":"10.1111/1467-9787.00310","title":"Regional Perspectives on Dollarization in Canada","year":2003,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Liberian dollar; Currency; Business cycle; Us dollar; Economics; International trade; International economics; Economic geography; Geography; Monetary economics; Finance; Macroeconomics","score_opus":0.028526920717033236,"score_gpt":0.21037776305116682,"score_spread":0.18185084233413357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065094228","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":[0.9762646,0.0012990314,0.001050713,0.008177325,0.00033466693,0.000056965728,0.000005278089,0.0000017369921,0.012809661],"genre_scores_gemma":[0.9981032,0.00053481455,0.000580876,0.00057589513,0.00006666526,9.073106e-7,4.443733e-7,0.0000050091403,0.00013220467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987858,0.000015954896,0.00057253236,0.0002411406,0.00017898274,0.00020561776],"domain_scores_gemma":[0.9989219,0.00006858404,0.0006122074,0.00012580228,0.00014538226,0.00012615649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005746,0.00009016804,0.00027341436,0.00046933745,0.000103220664,0.000047996466,0.00032269917,0.000026666234,0.00009968537],"category_scores_gemma":[0.00024009717,0.000085958454,0.000099974146,0.00070878776,0.00014810408,0.0003260501,0.000011973151,0.00014989031,0.000013182494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019754289,0.000056068042,0.050451025,0.0000015969267,0.0000145194845,0.000013152955,0.00023068594,0.0074949944,0.000033947566,0.9405974,0.00095554296,0.00013129319],"study_design_scores_gemma":[0.0023474165,0.00044500464,0.4819067,0.00013187052,0.00001354653,0.00034796807,0.006180035,0.012842346,0.00022265813,0.28465277,0.20994735,0.00096233364],"about_ca_topic_score_codex":0.1220665,"about_ca_topic_score_gemma":0.1227113,"teacher_disagreement_score":0.65594465,"about_ca_system_score_codex":0.0012367095,"about_ca_system_score_gemma":0.0013495038,"threshold_uncertainty_score":0.89329696},"labels":[],"label_agreement":null},{"id":"W2065241542","doi":"","title":"The Anchor Tenant Hypothesis: Exploring the Role of Large, Local, R&D-Intensive Firms in Regional Innovation Systems","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada; University of Toronto","funders":"","keywords":"Economic geography; Business; Regional innovation system; Test (biology); Regional science; Industrial organization; Technology transfer; Geography; International trade; Ecology","score_opus":0.03165185725930742,"score_gpt":0.2143838263003405,"score_spread":0.1827319690410331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065241542","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":[0.9550802,0.023320163,0.014923433,0.00515741,0.00039326737,0.00021213414,0.000010525272,0.000008071834,0.0008947842],"genre_scores_gemma":[0.98609185,0.013175618,0.000010941044,0.00014988417,0.00022976391,0.000015830821,0.000002278378,0.00001713688,0.00030670007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743176,0.000026299846,0.0010870264,0.00020215048,0.00007703328,0.0011757519],"domain_scores_gemma":[0.99854165,0.00021488433,0.000786055,0.00022092152,0.00020237204,0.00003409913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005523067,0.00013071636,0.0003213915,0.0003443415,0.00029418874,0.000073174044,0.00037326783,0.000056994162,0.000004745251],"category_scores_gemma":[0.00016967299,0.00007738926,0.00015454345,0.00059043744,0.000084828935,0.00019464447,0.000034445267,0.00075158535,0.000022961065],"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":[0.000071361734,0.00003258087,0.008447074,0.000002403069,0.0001699513,0.0000011654184,0.00019446379,0.00085145235,0.00001925063,0.97525316,0.000053321884,0.014903805],"study_design_scores_gemma":[0.0006182385,0.00017842546,0.016381783,0.000042369473,0.000015475425,0.00009122516,0.02248582,0.0122294435,0.0000845095,0.87450475,0.07312079,0.0002471955],"about_ca_topic_score_codex":0.001032685,"about_ca_topic_score_gemma":0.0045676148,"teacher_disagreement_score":0.10074845,"about_ca_system_score_codex":0.0006683124,"about_ca_system_score_gemma":0.00023266139,"threshold_uncertainty_score":0.3265306},"labels":[],"label_agreement":null},{"id":"W2065360030","doi":"10.1016/j.jue.2013.05.001","title":"Uneven landscapes and city size distributions","year":2013,"lang":"en","type":"article","venue":"Journal of 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 British Columbia","funders":"","keywords":"Zipf's law; Distribution (mathematics); Product (mathematics); Econometrics; Feature (linguistics); Key (lock); Statistical physics; Economics; Economic geography; Computer science; Mathematics; Statistics; Geometry; Physics","score_opus":0.015678052794801632,"score_gpt":0.18236758285769128,"score_spread":0.16668953006288964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065360030","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":[0.98803633,0.0012577272,0.0010234682,0.005360028,0.0002541332,0.00007392084,0.000098848606,0.0000053188846,0.0038902136],"genre_scores_gemma":[0.99631023,0.0015531082,0.0010008904,0.00023954792,0.0002930322,0.0000038252997,0.000005193305,0.000013385506,0.00058078417],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986332,0.000008570453,0.0009671538,0.00018441552,0.000014931114,0.0001917231],"domain_scores_gemma":[0.9985298,0.00012314078,0.00093565864,0.00016392463,0.00006888263,0.00017860267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035347414,0.00013248625,0.0005399607,0.0001522938,0.00009050767,0.00017018212,0.00021030514,0.00008239856,0.00067754637],"category_scores_gemma":[0.00011914927,0.00013686402,0.00023698722,0.00007431136,0.000056343888,0.0005227514,0.00005137529,0.0001558634,0.00013793587],"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":[0.000028100138,0.00016091698,0.5678027,0.000016676426,0.00058539805,0.000004288927,0.0002478729,0.00056757784,0.000022087985,0.41147286,0.016876908,0.0022145703],"study_design_scores_gemma":[0.0014918281,0.00023160707,0.3894851,0.000018963094,0.000056175715,0.00010007741,0.00016220738,0.013762241,0.0000523742,0.4067169,0.18734159,0.00058092567],"about_ca_topic_score_codex":0.00029655165,"about_ca_topic_score_gemma":0.00006734187,"teacher_disagreement_score":0.17831765,"about_ca_system_score_codex":0.00011061962,"about_ca_system_score_gemma":0.000030678806,"threshold_uncertainty_score":0.7418658},"labels":[],"label_agreement":null},{"id":"W2065477056","doi":"10.1080/0034340032000089040","title":"\"High Order' Producer Services in Metropolitan Canada: How Footloose Are They?","year":2003,"lang":"en","type":"article","venue":"Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Metropolitan area; Order (exchange); Service (business); Political science; Financial services; Government (linguistics); Welfare economics; Business; Regional science; Economic geography; Economy; Geography; Economics; Finance","score_opus":0.04209993222138809,"score_gpt":0.2178398925464462,"score_spread":0.17573996032505812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065477056","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":[0.906174,0.03520636,0.00004662794,0.052549507,0.00051294983,0.00026342107,0.0001059367,0.00002307682,0.0051181014],"genre_scores_gemma":[0.9934884,0.003422504,0.00034002794,0.0009556243,0.00012735688,0.00004632538,0.000011337948,0.00002164997,0.0015868224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855506,0.000026290467,0.00045689044,0.0005319879,0.000073676514,0.00035606706],"domain_scores_gemma":[0.9990797,0.00008097267,0.0003742817,0.0002732188,0.00011536757,0.00007647125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030413497,0.00022545502,0.0007097043,0.00020564983,0.00017031009,0.000047958692,0.00020833306,0.000057839105,0.00003783244],"category_scores_gemma":[0.00012548824,0.0002175581,0.00011786712,0.00033793875,0.00007126214,0.00014167787,0.00005398063,0.000120473254,0.000032429183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106124935,0.00007563034,0.12092121,0.00005796972,0.0005039865,0.000016827576,0.00021090772,0.00051875244,0.0000015634776,0.8729556,0.0046494007,0.00007749211],"study_design_scores_gemma":[0.0013581477,0.0000747054,0.16094615,0.000086550404,0.00004159875,0.000011724974,0.0098381825,0.0005237114,0.000054427044,0.3039737,0.5220111,0.0010799823],"about_ca_topic_score_codex":0.45795178,"about_ca_topic_score_gemma":0.8902227,"teacher_disagreement_score":0.56898195,"about_ca_system_score_codex":0.00081244955,"about_ca_system_score_gemma":0.00009200898,"threshold_uncertainty_score":0.8871762},"labels":[],"label_agreement":null},{"id":"W2065864839","doi":"10.1111/j.1564-9121.2014.00215.x","title":"La répartition régionale de la prime aux qualifications en Chine urbaine: implications sur la croissance et les inégalités","year":2014,"lang":"fr","type":"article","venue":"Revue internationale du Travail","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.029062987036098362,"score_gpt":0.26448678282298377,"score_spread":0.2354237957868854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065864839","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":[0.5796226,0.011894195,0.11477824,0.21977074,0.00051768887,0.00035222564,0.0019126734,0.00008808676,0.07106353],"genre_scores_gemma":[0.9184401,0.01178659,0.0016065461,0.00054838083,0.0006281395,0.00015930655,0.0005288799,0.000056809877,0.06624522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974403,0.00051476585,0.0010530934,0.0006195493,0.000077875426,0.00029443044],"domain_scores_gemma":[0.996064,0.0024327175,0.0006852845,0.00046383849,0.0002042133,0.00014993198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025459435,0.00027830785,0.00049212406,0.00033606155,0.00020540836,0.00031660154,0.0005551029,0.00038049888,0.0006570714],"category_scores_gemma":[0.0011542907,0.00038114734,0.0003961812,0.00026896293,0.00034718573,0.0004186493,0.0000824166,0.00046812108,0.00039703373],"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":[0.000010096461,0.00040687344,0.15513873,0.000054665077,0.00021822358,0.0000020656125,0.00055878365,0.0038171853,0.00010206073,0.82711554,0.0059932484,0.006582517],"study_design_scores_gemma":[0.00035524118,0.00002212017,0.41782293,0.00008078936,0.000032816588,0.000065912776,0.000020746089,0.037625797,0.000020080372,0.027776865,0.51591647,0.00026020993],"about_ca_topic_score_codex":0.004031246,"about_ca_topic_score_gemma":0.0011528024,"teacher_disagreement_score":0.7993387,"about_ca_system_score_codex":0.00033570302,"about_ca_system_score_gemma":0.00014548369,"threshold_uncertainty_score":0.99986404},"labels":[],"label_agreement":null},{"id":"W2066032062","doi":"10.1007/s00168-014-0627-z","title":"Dots to dots: a general methodology to build local indicators using spatial micro-data","year":2014,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"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; École de Technologie Supérieure; Université Laval","funders":"","keywords":"Conceptualization; Space (punctuation); Prime (order theory); Diversity (politics); Computer science; Spatial heterogeneity; Econometrics; Spatial analysis; Distribution (mathematics); Spatial distribution; Matrix (chemical analysis); Spatial variability; Data science; Data mining; Geography; Mathematics; Statistics; Artificial intelligence; Ecology; Remote sensing; Sociology","score_opus":0.3188481372817061,"score_gpt":0.37153053528293983,"score_spread":0.052682398001233754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066032062","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":[0.73950297,0.0001851686,0.23059705,0.028555512,0.00019485623,0.00015061861,0.000079109435,0.0000083725645,0.00072633347],"genre_scores_gemma":[0.9744886,0.0000737071,0.017314736,0.0076986207,0.0002740141,0.0000061479577,0.000008078904,0.000012695366,0.00012337303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979595,0.00006612612,0.000617546,0.00074328406,0.00014523753,0.00046830834],"domain_scores_gemma":[0.9980505,0.00018337058,0.00041351773,0.00095638837,0.00010676871,0.0002894616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004549301,0.00016159157,0.000492157,0.00065758225,0.0002812722,0.000076492506,0.0022804379,0.00006266572,0.000058496193],"category_scores_gemma":[0.0004403321,0.0001358539,0.00013706439,0.0011804,0.0006974377,0.00023918728,0.0007419643,0.00010987319,0.00013743932],"study_design_candidate":"theoretical_or_conceptual","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":[0.00029910446,0.00018039673,0.013334588,0.000020623427,0.0001955663,0.0000029939015,0.0010903591,0.06943332,0.0061146272,0.84872854,0.009661375,0.050938535],"study_design_scores_gemma":[0.000593635,0.0005681029,0.08793822,0.00006490306,0.000040519808,0.000042817715,0.00018113175,0.34461582,0.00700968,0.17528231,0.3824292,0.0012336478],"about_ca_topic_score_codex":0.008458586,"about_ca_topic_score_gemma":0.00042853714,"teacher_disagreement_score":0.6734462,"about_ca_system_score_codex":0.00005143761,"about_ca_system_score_gemma":0.00011008421,"threshold_uncertainty_score":0.99814415},"labels":[],"label_agreement":null},{"id":"W2066310834","doi":"10.1068/a33214","title":"A Tale of Four Cities: Intrametropolitan Employment Distribution in Toronto, Montreal, Vancouver, and Ottawa – Hull, 1981 – 1996","year":2002,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Census; Geography; Economic geography; Census tract; Regional science; Spatial distribution; Distribution (mathematics); Cartography; Demography; Sociology; Population","score_opus":0.014283820350730378,"score_gpt":0.1839866870714662,"score_spread":0.1697028667207358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066310834","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":[0.96923774,0.016663097,0.0007175146,0.0005256185,0.00006277495,0.00014221056,0.00016875971,0.0000070832048,0.012475208],"genre_scores_gemma":[0.9936647,0.004996299,0.00019297721,0.0000632208,0.000045070246,0.000016622644,0.000028588838,0.000009632692,0.0009829242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894613,0.0000132088935,0.00043894514,0.00037089977,0.000019706746,0.00021108125],"domain_scores_gemma":[0.999457,0.00006460871,0.00023640828,0.00013641392,0.000002717535,0.00010285337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021718936,0.00016497601,0.00043020386,0.000079858335,0.00008402662,0.000045534376,0.00005648645,0.00008326018,0.0002688148],"category_scores_gemma":[0.000009948896,0.0001883849,0.000052814165,0.000031594434,0.000119994314,0.00023264468,0.00004887309,0.000079783356,0.0000059885147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038021222,0.00015558708,0.9126771,0.00006452203,0.00018344076,0.0000123634945,0.0025676677,0.0007868646,0.0000045889237,0.07571522,0.00346996,0.0043246574],"study_design_scores_gemma":[0.0041245488,0.0008575611,0.4964611,0.0001350562,0.000081498685,0.0000220576,0.00839709,0.13538352,0.00004502036,0.039513398,0.3134362,0.0015429367],"about_ca_topic_score_codex":0.014149405,"about_ca_topic_score_gemma":0.0044850213,"teacher_disagreement_score":0.41621602,"about_ca_system_score_codex":0.00017520656,"about_ca_system_score_gemma":0.0000024666747,"threshold_uncertainty_score":0.9924155},"labels":[],"label_agreement":null},{"id":"W2067976345","doi":"10.1080/00343400903241477","title":"Urban Footprints in Rural Canada: Employment Spillovers by City Size","year":2010,"lang":"en","type":"article","venue":"Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geography; De facto; Economic geography; Urban hierarchy; ESPACE; Humanities; Political science; Sociology; Demography; Population","score_opus":0.03378863997643485,"score_gpt":0.2245252245518403,"score_spread":0.19073658457540543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067976345","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":[0.980143,0.0025211046,0.000009776808,0.012465558,0.0004293791,0.000106188665,0.00007383318,0.000010102273,0.0042410432],"genre_scores_gemma":[0.9952036,0.0012480423,0.00007004446,0.0009219464,0.00012930346,0.00002719259,0.0000104898345,0.000012832046,0.002376507],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987815,0.0000066433636,0.0005114408,0.00034138586,0.00006534797,0.00029365328],"domain_scores_gemma":[0.99931854,0.00012741571,0.0002234845,0.0001997739,0.00003866363,0.000092103255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022863733,0.00017510993,0.00050744636,0.000076641234,0.00011860775,0.000024918947,0.00021078711,0.00006129104,0.00013219265],"category_scores_gemma":[0.00012989024,0.00018384481,0.00013077505,0.00014966939,0.00011649262,0.000077672084,0.000090496,0.00018929735,0.00003842754],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021814509,0.000088470355,0.72424895,0.000008712916,0.0003593249,0.000007897492,0.00017914598,0.000036664347,0.000044379703,0.14653993,0.12804522,0.00041952077],"study_design_scores_gemma":[0.0006661311,0.000033566404,0.37861106,0.000012886321,0.000009333534,0.0000032071323,0.00032624693,0.0002921808,0.000035905592,0.018870806,0.60068643,0.00045226084],"about_ca_topic_score_codex":0.48411992,"about_ca_topic_score_gemma":0.7186887,"teacher_disagreement_score":0.4726412,"about_ca_system_score_codex":0.000354788,"about_ca_system_score_gemma":0.00006553338,"threshold_uncertainty_score":0.7496973},"labels":[],"label_agreement":null},{"id":"W2068361914","doi":"10.1068/a33192","title":"An Equilibrium Analysis of the Diversification of Regional Agriculture","year":2001,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Diversification (marketing strategy); Agriculture; Economics; Shift-share analysis; Industrial policy; Economic geography; Natural resource economics; Industrial organization; Business; Economic system; International trade; Geography","score_opus":0.02175690349871605,"score_gpt":0.1869872909108362,"score_spread":0.16523038741212015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068361914","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":[0.99415463,0.0013289393,0.0006596079,0.0010997273,0.000018235924,0.000055021213,0.00004378197,0.0000024908222,0.002637546],"genre_scores_gemma":[0.99887305,0.00053848507,0.000114512484,0.000062673185,0.00002466833,0.0000026928847,0.000035235746,0.000003171798,0.00034550208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938846,0.000011430542,0.00027164337,0.00022670082,0.00001728855,0.00008449221],"domain_scores_gemma":[0.99940234,0.000031381143,0.00033842685,0.00017604201,0.0000050497697,0.00004675152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016662062,0.0000833144,0.00029406315,0.00012730338,0.000063092535,0.00001835905,0.00009982172,0.000054637825,0.00008526975],"category_scores_gemma":[0.000003950169,0.00007036565,0.00010855526,0.0001268777,0.00010568001,0.00012994553,0.000035469904,0.000048340098,0.000002414074],"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":[0.000016549327,0.000037294278,0.94660616,0.0000062905815,0.0003724579,3.1740706e-7,0.0006392881,0.012949068,0.00009294559,0.03903477,0.000111306115,0.00013357105],"study_design_scores_gemma":[0.00023729047,0.000052052772,0.92430717,0.000007712439,0.00018579031,0.0000018147109,0.0006121335,0.044252913,0.000063940344,0.003991341,0.026117768,0.00017005255],"about_ca_topic_score_codex":0.0002670182,"about_ca_topic_score_gemma":0.000014446813,"teacher_disagreement_score":0.03504343,"about_ca_system_score_codex":0.000014340829,"about_ca_system_score_gemma":0.0000027073397,"threshold_uncertainty_score":0.28694278},"labels":[],"label_agreement":null},{"id":"W2068432439","doi":"10.1111/j.1435-5957.2008.00211.x","title":"Do New Economic Geography agglomeration shadows underlie current population dynamics across the urban hierarchy?","year":2009,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":155,"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","funders":"","keywords":"Metropolitan area; Geography; Urban hierarchy; Population; Humanities; Cartography; Economic geography; Sociology; Art; Demography","score_opus":0.018652671562408404,"score_gpt":0.2483660919965415,"score_spread":0.2297134204341331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068432439","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":[0.92753166,0.0013909468,0.00074629206,0.062028058,0.0011634441,0.00047733952,0.0001147247,0.000028926219,0.0065186135],"genre_scores_gemma":[0.99844813,0.00047508808,0.000076359014,0.00040612885,0.00020742592,0.000005216754,0.00003322612,0.000006437575,0.00034197886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99845415,0.000027751703,0.0005996968,0.00039882754,0.00019399867,0.00032554896],"domain_scores_gemma":[0.9982152,0.000086032545,0.0012090051,0.00034927164,0.000060018152,0.000080485464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014775654,0.0001385684,0.00026330835,0.00015069134,0.00067235465,0.00022223017,0.00067820126,0.00007562517,0.000024164721],"category_scores_gemma":[0.00014892749,0.00010721558,0.0003446128,0.000559297,0.00015334281,0.00045753925,0.000063375,0.00015164081,0.000032522563],"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":[0.000009947436,0.00004279838,0.42742708,0.0000023245275,0.00004311147,3.279555e-8,0.0003812122,0.0067395447,0.000025038145,0.55211896,0.00091548846,0.012294485],"study_design_scores_gemma":[0.00020886007,0.000026636839,0.8045061,0.000010888947,0.000012680962,6.197233e-7,0.0000676452,0.023062736,0.000007543339,0.16576281,0.006174212,0.00015924298],"about_ca_topic_score_codex":0.0018050284,"about_ca_topic_score_gemma":0.0006049359,"teacher_disagreement_score":0.38635612,"about_ca_system_score_codex":0.0014069551,"about_ca_system_score_gemma":0.00010762019,"threshold_uncertainty_score":0.51712763},"labels":[],"label_agreement":null},{"id":"W2068760459","doi":"10.2202/1935-1690.1627","title":"Employment Growth in the American Urban Hierarchy: Long Live Distance","year":2008,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Urban hierarchy; Spillover effect; Economies of agglomeration; Economic geography; Hierarchy; Position (finance); Urban economics; Urban agglomeration; Geography; Economics; Economic growth; Sociology; Demography; Population; Finance; Market economy","score_opus":0.02585166205257063,"score_gpt":0.2180697303803419,"score_spread":0.19221806832777125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068760459","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":[0.98483944,0.0017391031,0.0017107076,0.009505164,0.000176761,0.00012406278,0.00003157436,0.000003787245,0.0018693743],"genre_scores_gemma":[0.99014765,0.0074026547,0.00018628282,0.0016807952,0.00030409457,0.0000054572124,0.0000025968045,0.00002142402,0.00024907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981934,0.000073733325,0.0011933872,0.00018950008,0.000052816882,0.00029720087],"domain_scores_gemma":[0.99759376,0.00026716397,0.0016689051,0.00033967706,0.000050847542,0.000079645564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015549917,0.00017999702,0.0006428072,0.00023814313,0.00019696742,0.00006220114,0.001004922,0.000034025394,0.000061510706],"category_scores_gemma":[0.000057895886,0.00012817618,0.00031202816,0.00022597557,0.0003618319,0.00023319578,0.00006536832,0.00036745865,0.00014294343],"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":[0.00033984202,0.000264147,0.8301985,0.000010796386,0.00036724092,0.000087806955,0.0063786204,0.003466806,0.000003499478,0.15214407,0.005722475,0.0010161478],"study_design_scores_gemma":[0.0016833334,0.00062236644,0.8507561,0.00003211533,0.000068065834,0.0007491322,0.0015745127,0.005809065,0.000048419788,0.08783893,0.05009886,0.000719103],"about_ca_topic_score_codex":0.0013249295,"about_ca_topic_score_gemma":0.00066780765,"teacher_disagreement_score":0.06430514,"about_ca_system_score_codex":0.00024666122,"about_ca_system_score_gemma":0.000057725003,"threshold_uncertainty_score":0.5226873},"labels":[],"label_agreement":null},{"id":"W2071856988","doi":"10.1111/j.1467-9787.2012.00780_15.x","title":"The Evolution of Great World Cities: Urban Wealth and Economic Growth by Christopher Kennedy","year":2012,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","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":"Memorial University of Newfoundland","funders":"","keywords":"Citation; George (robot); Historiography; Classics; History; Art history; Sociology; Political science; Law","score_opus":0.0168944237611012,"score_gpt":0.21166635359671424,"score_spread":0.19477192983561303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071856988","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":[0.9609906,0.022253558,0.0011762142,0.0073954966,0.00067530957,0.000081089114,0.000030838226,0.0000034564011,0.007393437],"genre_scores_gemma":[0.9965361,0.0018829348,0.0001962145,0.00012035269,0.00027804793,0.0000014540115,5.4171215e-7,0.000006418164,0.0009779428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987204,0.000014295065,0.000717871,0.00016383034,0.00009488839,0.00028869294],"domain_scores_gemma":[0.9982703,0.00012718019,0.0011666238,0.00014338901,0.00009011632,0.00020241726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019043011,0.00010092287,0.00031909888,0.00030812752,0.00028726918,0.00007278104,0.000414069,0.000031956533,0.000048592876],"category_scores_gemma":[0.0000636636,0.000078295096,0.00014668427,0.0002821067,0.0006958195,0.00071207137,0.000054298453,0.00011809009,0.000016415126],"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":[0.000030241323,0.00003174101,0.264041,0.000006836753,0.000042277356,2.7346215e-7,0.00018605498,0.00004239052,0.00005398862,0.7207828,0.014501917,0.00028043188],"study_design_scores_gemma":[0.0012608068,0.0004175188,0.44762838,0.000076757744,0.000050356928,0.00015253935,0.00091652194,0.006461321,0.00017558831,0.17432001,0.36789158,0.00064861303],"about_ca_topic_score_codex":0.0012852736,"about_ca_topic_score_gemma":0.000146401,"teacher_disagreement_score":0.54646283,"about_ca_system_score_codex":0.0005207751,"about_ca_system_score_gemma":0.00014567965,"threshold_uncertainty_score":0.31927812},"labels":[],"label_agreement":null},{"id":"W2073385016","doi":"10.3386/w15536","title":"Urban Economics and Entrepreneurship","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Ewing Marion Kauffman Foundation","keywords":"Entrepreneurship; Urban economics; Economic geography; Economics; Geography; Microeconomics; Finance","score_opus":0.32638544173868544,"score_gpt":0.4250012040997901,"score_spread":0.09861576236110464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073385016","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011198901,0.009842103,0.000010159867,0.0050505726,0.00065015286,0.00051322696,0.0008072857,0.000021406171,0.9719062],"genre_scores_gemma":[0.918502,0.054261304,0.00024898516,0.0001327436,0.0020235616,0.00007614272,0.0007899915,0.000102403166,0.023862906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99575657,0.00006859555,0.0020100619,0.0012965072,0.0002603399,0.0006079326],"domain_scores_gemma":[0.99659944,0.0005648299,0.0012877411,0.00061028206,0.0006741797,0.00026352378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0059965407,0.00040354,0.0014842076,0.0019952846,0.00018635821,0.00021352655,0.00074656785,0.0006341232,0.000685916],"category_scores_gemma":[0.0007327981,0.00050492655,0.0004930298,0.00020224825,0.00039802174,0.00028614767,0.00024889485,0.0007386733,0.00056942017],"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":[0.00003041731,0.0000797843,0.0063148183,0.00006541702,0.00035207678,0.0000019930371,0.00004955237,0.00041784556,0.0000016242095,0.92638004,0.064580984,0.0017254616],"study_design_scores_gemma":[0.000366981,0.00010823353,0.0026266486,0.000036670284,0.000014781884,0.000015169064,0.000014958086,0.0022178446,0.000017225562,0.6980803,0.29609287,0.00040829083],"about_ca_topic_score_codex":0.0056098453,"about_ca_topic_score_gemma":0.00068280124,"teacher_disagreement_score":0.9480433,"about_ca_system_score_codex":0.0019566938,"about_ca_system_score_gemma":0.001406862,"threshold_uncertainty_score":0.99974024},"labels":[],"label_agreement":null},{"id":"W2075318433","doi":"10.1111/j.1944-8287.2004.tb00241.x","title":"Culture, Language, and the Location of High‐Order Service Functions: The Case of Montreal and Toronto","year":2004,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Hierarchy; Dominance (genetics); Order (exchange); Urban hierarchy; Service (business); Variety (cybernetics); Economic geography; Sociology; Economy; Geography; Political science; Business; Economics; Demography; Law","score_opus":0.005975150234918872,"score_gpt":0.18396860043461907,"score_spread":0.1779934501997002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075318433","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":[0.9809095,0.0135817835,0.00045373506,0.0019060759,0.000097333315,0.0001804292,0.00009421226,0.0000054567254,0.0027714605],"genre_scores_gemma":[0.9976855,0.0017995526,0.00015573307,0.00020662205,0.000049546958,0.000021644271,0.000012448352,0.000007477342,0.00006147111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922585,0.000012484487,0.0004411529,0.00021441688,0.000009459183,0.0000966394],"domain_scores_gemma":[0.9992414,0.00005458587,0.00036256344,0.0002612674,0.00004696312,0.00003319972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031449203,0.00010182542,0.0003201255,0.00007134077,0.000109942346,0.00003426443,0.00011084583,0.000050023016,0.00005460741],"category_scores_gemma":[0.00001261118,0.00007275262,0.00008803866,0.00012972801,0.0001948553,0.00014876793,0.000045557055,0.000049827362,0.000010151037],"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":[0.00010426157,0.00008371342,0.019559102,0.000080558224,0.00078517984,0.0000030180718,0.006441033,0.012656921,0.0000039008837,0.9558959,0.00018369663,0.0042027226],"study_design_scores_gemma":[0.0140558565,0.00037522655,0.3671697,0.00007280192,0.00048799886,0.00030238833,0.026682675,0.038780518,0.000101995975,0.54414684,0.0067076795,0.001116337],"about_ca_topic_score_codex":0.33702847,"about_ca_topic_score_gemma":0.09220724,"teacher_disagreement_score":0.41174906,"about_ca_system_score_codex":0.000027600425,"about_ca_system_score_gemma":0.000014007121,"threshold_uncertainty_score":0.9243576},"labels":[],"label_agreement":null},{"id":"W2075854272","doi":"10.1080/00420980600776459","title":"Cities and Workplace Communication: Some Quantitative French Evidence","year":2006,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Demise; Face (sociological concept); Information and Communications Technology; Focus (optics); Business; Contrast (vision); Face-to-face interaction; Empirical evidence; Public relations; Demographic economics; Marketing; Economic geography; Economics; Sociology; Political science; Computer science; Social science","score_opus":0.09655524871920136,"score_gpt":0.2700006514258539,"score_spread":0.17344540270665254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075854272","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4054816,0.5729611,0.0003492452,0.00958012,0.00013860072,0.00011897583,0.000042053023,0.00003272216,0.01129561],"genre_scores_gemma":[0.97318715,0.018344713,0.0012840435,0.00021519336,0.00009407696,0.000029209801,0.0000062165554,0.000009228352,0.006830177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991464,0.000015894144,0.00040889008,0.00025983268,0.000023560395,0.00014542711],"domain_scores_gemma":[0.99911356,0.00033276778,0.00023775974,0.00023952773,0.000051058458,0.000025337447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002944707,0.00012020028,0.00039734447,0.00012366656,0.00023930975,0.00007259175,0.00014637974,0.00003523564,0.000035629095],"category_scores_gemma":[0.00010504385,0.00012527681,0.0000749059,0.00012176262,0.00026329674,0.00031234062,0.000119606404,0.000072324736,0.00010556926],"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":[0.0000042300358,0.0000149013995,0.1154232,0.000016454711,0.00014090474,7.411317e-7,0.00075194845,0.000084325686,0.0000011044294,0.8642166,0.019269891,0.00007565454],"study_design_scores_gemma":[0.00031176023,0.00008142412,0.1293344,0.000110565124,0.00003275643,0.0000019110896,0.0013030304,0.0023300769,0.000012492876,0.81332076,0.05272552,0.00043528044],"about_ca_topic_score_codex":0.0017507198,"about_ca_topic_score_gemma":0.0007087638,"teacher_disagreement_score":0.5677055,"about_ca_system_score_codex":0.00005884786,"about_ca_system_score_gemma":0.0000066285033,"threshold_uncertainty_score":0.510864},"labels":[],"label_agreement":null},{"id":"W2076063208","doi":"10.1111/j.1435-5957.2009.00241.x","title":"Krugman's Papers in Regional Science: The 100 dollar bill on the sidewalk is gone and the 2008 Nobel Prize well‐deserved","year":2009,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":36,"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 du Québec à Montréal","funders":"","keywords":"Humanities; Liberian dollar; Us dollar; Philosophy; Currency","score_opus":0.02080860656002882,"score_gpt":0.21213210877190564,"score_spread":0.19132350221187683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076063208","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":[0.5235737,0.0006281301,0.0000024111675,0.44892934,0.00017906286,0.0004178582,0.000014162718,0.0000078092535,0.026247527],"genre_scores_gemma":[0.9870345,0.0016915026,0.000031714342,0.009570919,0.00008457895,0.000017330794,0.0000014584854,0.0000067195133,0.001561261],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978752,0.000081012615,0.0005734039,0.00052694726,0.0005156973,0.00042770704],"domain_scores_gemma":[0.9976459,0.00065017387,0.00096801616,0.00054546795,0.00012090306,0.00006949796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00623882,0.00017585517,0.00033749768,0.00020413012,0.0012855828,0.00020750378,0.0014695995,0.00008172909,0.00005810162],"category_scores_gemma":[0.0008945073,0.00008167808,0.00026919384,0.0017360348,0.0018443448,0.00027295126,0.00014209287,0.00025273892,0.000027848806],"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":[0.00013344534,0.00016971,0.0435031,0.000005295852,0.00010212852,5.2301937e-7,0.0029603678,0.0026379495,0.0015058405,0.94273585,0.004539623,0.0017061885],"study_design_scores_gemma":[0.0013091451,0.000089626745,0.7671629,0.00005764641,0.000033967855,0.000004396377,0.0009353095,0.019281445,0.0002158505,0.16577129,0.04476911,0.00036932254],"about_ca_topic_score_codex":0.0018887854,"about_ca_topic_score_gemma":0.00031867618,"teacher_disagreement_score":0.77696455,"about_ca_system_score_codex":0.00055863423,"about_ca_system_score_gemma":0.00018702883,"threshold_uncertainty_score":0.9887793},"labels":[],"label_agreement":null},{"id":"W2078362475","doi":"10.1080/0042098022000027095","title":"Density Gradients in Canadian Metropolitan Regions, 1971-96: Differential Patterns of Central Area and Suburban Growth and Change","year":2002,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metropolitan area; Centralisation; Central city; Geography; Economic geography; Decentralization; Differential (mechanical device); Regional science; Political science; Archaeology","score_opus":0.07122510474638134,"score_gpt":0.21347670865673635,"score_spread":0.14225160391035502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078362475","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":[0.98372144,0.013352353,0.000013964708,0.0019583849,0.000124683,0.00011393184,0.00018151672,0.0000048873503,0.0005288717],"genre_scores_gemma":[0.9884493,0.011166637,0.000014043999,0.00011398309,0.00007226981,0.000012364666,0.000009849843,0.000010379985,0.00015116786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886596,0.000013465593,0.00039214647,0.00033248455,0.000023873508,0.00037205496],"domain_scores_gemma":[0.9994588,0.00003432792,0.00016472327,0.00013854066,0.00002321639,0.00018040562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008814401,0.00015508331,0.00056187395,0.00042362668,0.000107275446,0.000025992264,0.00008459343,0.000054541135,0.000028980769],"category_scores_gemma":[0.00005421159,0.00016362069,0.00007681303,0.00012527763,0.00011794117,0.00011020815,0.00006374279,0.00007497903,0.0000031796494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032867056,0.000028175853,0.8921511,0.000028593924,0.00013750454,0.0000047611816,0.0014215995,1.2691221e-7,7.1066063e-7,0.10575762,0.00036223183,0.00010428854],"study_design_scores_gemma":[0.0003868211,0.000046834888,0.9891952,0.000023266295,0.000022716267,0.0000021594458,0.00039041592,0.0008688825,0.000007645112,0.008154781,0.00070278265,0.00019845813],"about_ca_topic_score_codex":0.38548446,"about_ca_topic_score_gemma":0.45770335,"teacher_disagreement_score":0.09760284,"about_ca_system_score_codex":0.00020354634,"about_ca_system_score_gemma":0.00000430432,"threshold_uncertainty_score":0.6672258},"labels":[],"label_agreement":null},{"id":"W2081911433","doi":"10.7202/602352ar","title":"Innovation, intégration et développement régional","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.06484886551324069,"score_gpt":0.2623863420936955,"score_spread":0.19753747658045478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081911433","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":[0.5037595,0.0033990818,0.037222132,0.43595073,0.0018433618,0.00045599637,0.00040651907,0.000061110666,0.016901562],"genre_scores_gemma":[0.95404226,0.0045716306,0.004499939,0.026069073,0.0007190857,0.000039450482,0.0005419018,0.0000380886,0.009478602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99655706,0.000072229144,0.001994469,0.0008201088,0.000038819908,0.0005173377],"domain_scores_gemma":[0.99796253,0.00012673071,0.0010887901,0.00050422875,0.00018264583,0.00013505573],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013848627,0.00040447887,0.00080559484,0.000696074,0.00018240273,0.00035551278,0.00036811913,0.00038199773,0.0018646846],"category_scores_gemma":[0.00020045441,0.0005487155,0.00032643919,0.0006611443,0.000112759335,0.0008459122,0.000068245485,0.00035695426,0.0011353431],"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":[0.00003288493,0.0002814126,0.0062167076,0.000020160825,0.00019440326,0.0000037473415,0.00060468697,0.0014817785,0.00003213283,0.95932823,0.009218207,0.022585666],"study_design_scores_gemma":[0.0005850572,0.00018013551,0.06357146,0.000045161963,0.000020767846,0.000008968418,0.00005550333,0.00821342,0.00012675558,0.65820545,0.26841924,0.0005681017],"about_ca_topic_score_codex":0.0009624262,"about_ca_topic_score_gemma":0.0003940705,"teacher_disagreement_score":0.45028272,"about_ca_system_score_codex":0.0005858175,"about_ca_system_score_gemma":0.00016334753,"threshold_uncertainty_score":0.99969643},"labels":[],"label_agreement":null},{"id":"W2084753964","doi":"10.1007/s11205-014-0846-9","title":"Measuring Urban Agglomeration: A Refoundation of the Mean City-Population Size Index","year":2014,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Index (typography); Economies of agglomeration; Urban agglomeration; Urbanization; Economic geography; Population; Population size; Per capita; Geography; Econometrics; Economics; Pairwise comparison; Statistics; Mathematics; Economic growth; Demography; Computer science; Sociology","score_opus":0.11198276441647467,"score_gpt":0.30436040876652937,"score_spread":0.1923776443500547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084753964","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":[0.97563815,0.00006755339,0.00050865667,0.0033772318,0.00015602239,0.00019229442,0.000016806798,0.000011235596,0.02003202],"genre_scores_gemma":[0.99883324,0.000026291795,0.000031738695,0.000057923437,0.0003883586,0.00002177956,0.000013781388,0.000014424963,0.0006124776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855155,0.00014621788,0.0005722934,0.00029007354,0.00019480914,0.00024505105],"domain_scores_gemma":[0.999017,0.00014028532,0.00041850752,0.0002674348,0.000099217694,0.000057532616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027286862,0.00008618506,0.00028059358,0.00038902977,0.0006651416,0.00009658105,0.00036977898,0.00013225728,0.00020823514],"category_scores_gemma":[0.0005563149,0.000081860846,0.00017810256,0.0009936731,0.00019281778,0.00015381785,0.000113367794,0.00028785292,0.00005785044],"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":[0.000012152143,0.000043920216,0.5452352,0.00001547278,0.000059851125,5.585637e-8,0.0009768838,0.000047950492,0.000029529807,0.45105597,0.00035942285,0.0021635715],"study_design_scores_gemma":[0.00033100697,0.00003474672,0.8374433,0.000011760308,0.0000061388805,2.2329492e-7,0.00013549691,0.0040395046,0.00016266319,0.13960369,0.018059263,0.00017218453],"about_ca_topic_score_codex":0.0038191183,"about_ca_topic_score_gemma":0.00092400494,"teacher_disagreement_score":0.31145227,"about_ca_system_score_codex":0.00026449416,"about_ca_system_score_gemma":0.00004379374,"threshold_uncertainty_score":0.577339},"labels":[],"label_agreement":null},{"id":"W2085245994","doi":"10.1017/s0022050704002608","title":"A General-Purpose Technology at Work: The Corliss Steam Engine in the Late-Nineteenth-Century United States","year":2004,"lang":"en","type":"article","venue":"The Journal of Economic History","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":212,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Steam engine; Industrial Revolution; Population; Economy; Engineering; Economics; Political science; Mechanical engineering; Sociology; Law","score_opus":0.02083210289106447,"score_gpt":0.1902697023501106,"score_spread":0.16943759945904613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085245994","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":[0.96316504,0.018145613,0.000111034766,0.015906973,0.000642665,0.0001649598,0.00002218693,0.000008007443,0.0018335326],"genre_scores_gemma":[0.9843073,0.011841195,0.0000541088,0.0019060471,0.00023796727,0.000010257324,0.000013863585,0.000027970807,0.0016013212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982812,0.000067115056,0.0011365272,0.00016921764,0.000041403764,0.00030454568],"domain_scores_gemma":[0.99804264,0.00018805757,0.0011727306,0.0005015422,0.000034951165,0.000060083818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015675871,0.00019890344,0.0005140067,0.00064327364,0.00014597923,0.000029030578,0.0010727963,0.00010979549,0.000279342],"category_scores_gemma":[0.000039022707,0.00012501371,0.00024935004,0.00026757325,0.00030110058,0.00014417992,0.000097519114,0.00049721566,0.00024124046],"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":[0.00050556025,0.0003679587,0.013621643,0.00001741474,0.000809515,0.000052980828,0.012600718,0.71989316,0.00007140091,0.20756225,0.042805437,0.0016919605],"study_design_scores_gemma":[0.0014798573,0.00017104352,0.0043843165,0.000025172738,0.00006313323,0.000100609526,0.00080884947,0.0045956266,0.000016824055,0.025961975,0.9620858,0.00030679698],"about_ca_topic_score_codex":0.0010836441,"about_ca_topic_score_gemma":0.0006516125,"teacher_disagreement_score":0.91928035,"about_ca_system_score_codex":0.0020410917,"about_ca_system_score_gemma":0.00009175683,"threshold_uncertainty_score":0.5337384},"labels":[],"label_agreement":null},{"id":"W2086466350","doi":"10.7202/022709ar","title":"The Location of High Knowledge Content Activities in the Canadian Urban System, 1971-1991","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"High tech; Class (philosophy); Content (measure theory); Business; Regional science; Economic geography; Computer science; Geography; Mathematics; Artificial intelligence","score_opus":0.01709506787280331,"score_gpt":0.18100437636845743,"score_spread":0.1639093084956541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086466350","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":[0.9701909,0.0056122313,0.00018778093,0.011580864,0.000169792,0.00021959956,0.000030679123,0.000011278086,0.011996866],"genre_scores_gemma":[0.9982306,0.00037395707,0.000020431595,0.00033259366,0.00012369454,0.000062744315,0.000011779785,0.000012949086,0.0008312559],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890745,0.00004876677,0.00051824906,0.0002103274,0.000032592005,0.00028261205],"domain_scores_gemma":[0.9990245,0.00021259587,0.00027673156,0.0003342257,0.00005789474,0.00009401795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093606254,0.00012687036,0.0002959789,0.00047247793,0.00037729388,0.00009221906,0.00040904616,0.00011588844,0.000010125857],"category_scores_gemma":[0.00008538901,0.00009904823,0.00017135074,0.0006587556,0.00092772493,0.00010903516,0.000012439958,0.00019228608,0.00004119754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011340419,0.000034134075,0.039386943,0.000020951034,0.0000942937,0.00000129713,0.0022467496,0.00043525913,0.0000015155199,0.9544982,0.0017837612,0.0014855821],"study_design_scores_gemma":[0.001188088,0.000118601194,0.40655273,0.00008066441,0.000074393894,0.000019251833,0.0075633284,0.013781891,0.000042491505,0.0108152535,0.5590792,0.0006841174],"about_ca_topic_score_codex":0.8568335,"about_ca_topic_score_gemma":0.98631424,"teacher_disagreement_score":0.9436829,"about_ca_system_score_codex":0.0008777965,"about_ca_system_score_gemma":0.00027074988,"threshold_uncertainty_score":0.40390694},"labels":[],"label_agreement":null},{"id":"W2087956194","doi":"10.3386/w9931","title":"Micro-Foundations of Urban Agglomeration Economies","year":2003,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1507,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Economic geography; Urban agglomeration; Economy; Economics; Geography; Business; Economic growth","score_opus":0.3501017460864327,"score_gpt":0.44568739358384707,"score_spread":0.09558564749741438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087956194","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009767894,0.004404045,0.00010577938,0.0016364811,0.0011059619,0.0006277781,0.0016752725,0.000013341572,0.9806634],"genre_scores_gemma":[0.94070214,0.011141589,0.0012085161,0.00006750074,0.0012526904,0.00019969155,0.0024745695,0.0001331549,0.042820122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99513096,0.00009897427,0.0029634088,0.00095775235,0.000358274,0.0004906426],"domain_scores_gemma":[0.9945515,0.00062712614,0.002340766,0.0006506747,0.0016815498,0.00014838588],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00650903,0.00036256315,0.0015744043,0.0026214828,0.00021420867,0.00013375499,0.0007423637,0.0005724286,0.0032214613],"category_scores_gemma":[0.0011150143,0.00045796053,0.00074831134,0.0003820602,0.0005222487,0.00037918187,0.000152781,0.0005989629,0.0008970726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022550117,0.00013836,0.006617921,0.0001589743,0.00066044345,5.7928827e-7,0.00006944004,0.0012347887,0.000038610866,0.9159283,0.07496338,0.00016667235],"study_design_scores_gemma":[0.0005626035,0.00012810441,0.0013577073,0.00007248359,0.000029287228,0.000008870763,0.00005219113,0.0016073305,0.0003485816,0.71412534,0.28119624,0.00051124947],"about_ca_topic_score_codex":0.007522213,"about_ca_topic_score_gemma":0.0009016113,"teacher_disagreement_score":0.9378433,"about_ca_system_score_codex":0.002549726,"about_ca_system_score_gemma":0.002581761,"threshold_uncertainty_score":0.99988085},"labels":[],"label_agreement":null},{"id":"W2088446272","doi":"10.1111/j.0002-9092.2004.00659.x","title":"Panel Estimates of the Canadian Rural/Urban Women's Wage Gap","year":2004,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"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":"Wage; Economics; Sample (material); Demographic economics; Estimation; Rural area; Panel data; Labour economics; Socioeconomics; Econometrics; Political science","score_opus":0.015142220584775937,"score_gpt":0.17490286609231104,"score_spread":0.1597606455075351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088446272","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":[0.99020857,0.00023246142,0.00003084269,0.0066409605,0.00035207212,0.000083553474,0.00008730822,0.00000413986,0.002360097],"genre_scores_gemma":[0.9981542,0.000407636,0.000612479,0.00050600857,0.00018985625,0.0000037989344,0.0000056241493,0.000016359601,0.000104020706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981576,0.000013280174,0.0012069143,0.00019128634,0.000037942293,0.00039292744],"domain_scores_gemma":[0.99707377,0.000048228034,0.0021980717,0.000249121,0.00011546731,0.00031535944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000358384,0.00021572845,0.0008547389,0.00022642344,0.00017934253,0.0001024027,0.0006665086,0.00006388892,0.00008625453],"category_scores_gemma":[0.00006485575,0.00015002869,0.000496989,0.0003150953,0.00032176668,0.00032514185,0.00005365301,0.00023607886,0.000049324386],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009841519,0.00029154425,0.20562817,0.000031363164,0.00205494,0.000012458774,0.0060285395,0.113955215,0.00029458315,0.6640392,0.0014082367,0.006157369],"study_design_scores_gemma":[0.0016613909,0.0008498461,0.8913231,0.000084711595,0.000088324676,0.00024749516,0.006279626,0.0003627391,0.0005882496,0.086768754,0.010765365,0.0009803801],"about_ca_topic_score_codex":0.065829694,"about_ca_topic_score_gemma":0.028655246,"teacher_disagreement_score":0.68569493,"about_ca_system_score_codex":0.0010801214,"about_ca_system_score_gemma":0.00022148949,"threshold_uncertainty_score":0.9890693},"labels":[],"label_agreement":null},{"id":"W2089701346","doi":"10.1093/jeg/lbn057","title":"Urban interactions: soft skills versus specialization","year":2009,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"George (robot); Library science; Schools of economic thought; Doctoral dissertation; Management; Sociology; Art history; Classics; History; Political science; Economics; Law; Computer science; Higher education","score_opus":0.017816854567549306,"score_gpt":0.23040648786983786,"score_spread":0.21258963330228856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089701346","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":[0.8748519,0.0046165814,0.011376398,0.008865461,0.008073214,0.00025239115,0.00010764884,0.000038277074,0.091818154],"genre_scores_gemma":[0.9965916,0.00093997346,0.0006573946,0.00037131886,0.001165773,0.0000014084505,0.000010959351,0.000013482436,0.00024804016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823177,0.000012508323,0.0012858297,0.00023186191,0.000029297544,0.00020873404],"domain_scores_gemma":[0.99802184,0.00006796174,0.0014999365,0.0002153041,0.00006026503,0.00013467339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042326548,0.00016006788,0.0005542889,0.0009397678,0.00009338736,0.00014022173,0.00029801976,0.000070733266,0.00080172095],"category_scores_gemma":[0.00005138108,0.00018020433,0.00069273217,0.00016724426,0.00004249039,0.0006101027,0.000017099144,0.00016947485,0.0003100422],"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":[0.00046247986,0.000650654,0.21394032,0.000010206274,0.0013495991,0.000017703416,0.0004161975,0.010405639,0.000023358067,0.7172834,0.04250129,0.012939112],"study_design_scores_gemma":[0.0038790544,0.0009743104,0.18466341,0.000046368725,0.00011346768,0.000049177517,0.00013557797,0.006873936,0.000059463066,0.23894547,0.56346726,0.000792489],"about_ca_topic_score_codex":0.00008476071,"about_ca_topic_score_gemma":0.000054318683,"teacher_disagreement_score":0.520966,"about_ca_system_score_codex":0.00016415272,"about_ca_system_score_gemma":0.00003249683,"threshold_uncertainty_score":0.87782824},"labels":[],"label_agreement":null},{"id":"W2092391995","doi":"10.2747/0272-3638.25.1.42","title":"Canada-U.S. Metropolitan Density Patterns: Zonal Convergence and Divergence<sup>1</sup>","year":2004,"lang":"en","type":"article","venue":"Urban Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metropolitan area; Optimal distinctiveness theory; Geography; Urbanization; Convergence (economics); Divergence (linguistics); Economic geography; Centrality; Regional science; Demography; Economic growth; Sociology; Archaeology; Economics","score_opus":0.01060707684807034,"score_gpt":0.1703425814625451,"score_spread":0.15973550461447478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092391995","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":[0.991338,0.0025358212,0.0018554151,0.0016748143,0.000201083,0.000113619375,0.00049456715,0.000021572772,0.0017650712],"genre_scores_gemma":[0.99752384,0.0008907863,0.00025366392,0.0009986049,0.00012634089,0.000011303096,0.00004495692,0.000017339444,0.00013318304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838036,0.000010559447,0.00054081925,0.0005882744,0.00007555,0.00040441216],"domain_scores_gemma":[0.99912196,0.000026829328,0.00022548309,0.0003200448,0.000049730017,0.0002559712],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019676301,0.00022960479,0.00046327148,0.00031499728,0.0002311519,0.00007493102,0.0002712824,0.00008367399,0.0004337051],"category_scores_gemma":[0.000025125955,0.00026141448,0.00023360834,0.00032400084,0.00013733449,0.00016649555,0.00010028154,0.00014361757,0.00006176461],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062203767,0.000029156561,0.81994164,0.000010534118,0.00015155537,0.000010246459,0.000053217846,0.00038365874,8.333623e-7,0.17827986,0.0010592386,0.00007385911],"study_design_scores_gemma":[0.0006193579,0.00007802727,0.8999477,0.000015097704,0.00003469597,0.0000086176715,0.00022370808,0.0032305962,0.000032604672,0.06070349,0.034474302,0.0006318208],"about_ca_topic_score_codex":0.8546785,"about_ca_topic_score_gemma":0.27236387,"teacher_disagreement_score":0.5823146,"about_ca_system_score_codex":0.0002444217,"about_ca_system_score_gemma":0.0000937985,"threshold_uncertainty_score":0.9999838},"labels":[],"label_agreement":null},{"id":"W2093117052","doi":"","title":"The Winner's Choice: Sustainable Economic Strategies for Successful 21st Century Regions","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Attractiveness; Sustainability; Productivity; Urbanization; Economics; Corporate governance; Scale (ratio); Economic geography; Sustainable development; Globalization; Economic system; Business; Economic growth; Market economy; Political science; Geography","score_opus":0.01337423973223423,"score_gpt":0.20030284349859506,"score_spread":0.18692860376636083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093117052","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":[0.77424943,0.0021820548,0.0035245554,0.015219203,0.0009204477,0.0013933226,0.002147494,0.00012240002,0.20024107],"genre_scores_gemma":[0.9841173,0.004021048,0.001520647,0.00010750368,0.0002006573,0.0000069389225,0.00015902513,0.000046030367,0.009820792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979958,0.00004049709,0.00055707933,0.00066806754,0.00007370747,0.0006648622],"domain_scores_gemma":[0.9974769,0.0005739992,0.00066088524,0.0009245546,0.0001328863,0.00023078689],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00072678074,0.00030123175,0.00061696186,0.00031568992,0.0014727605,0.0001692342,0.0015050132,0.00016817318,0.00035718182],"category_scores_gemma":[0.00013021786,0.00033330455,0.0006751029,0.00016812915,0.000901823,0.00052769296,0.000413701,0.00048647166,0.00007011925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001413358,0.00009473163,0.0047623646,0.00004821792,0.0003186382,0.000007368872,0.0017989696,0.00031231702,0.00005399701,0.9885765,0.0028913796,0.0009942163],"study_design_scores_gemma":[0.001091546,0.00013755623,0.008576531,0.000015484824,0.00005495303,0.000007799344,0.026504643,0.018291393,0.000007266074,0.11306915,0.8317698,0.00047384886],"about_ca_topic_score_codex":0.020641567,"about_ca_topic_score_gemma":0.034527145,"teacher_disagreement_score":0.8755073,"about_ca_system_score_codex":0.00019056375,"about_ca_system_score_gemma":0.00026971195,"threshold_uncertainty_score":0.9999119},"labels":[],"label_agreement":null},{"id":"W2094111477","doi":"10.1257/aer.102.1.556","title":"The Internet and Local Wages: A Puzzle","year":2012,"lang":"en","type":"article","venue":"American Economic Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":428,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"The Internet; Wage growth; Wage; Economics; Investment (military); Wage inequality; Labour economics; Efficiency wage; Political science","score_opus":0.02398377729689797,"score_gpt":0.23495865455129064,"score_spread":0.21097487725439268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094111477","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07967889,0.8399951,0.0046673766,0.031220162,0.00089945307,0.00070279127,0.000053989694,0.00015756364,0.042624675],"genre_scores_gemma":[0.74178994,0.2550336,0.000107777254,0.002285149,0.00013721728,0.000049940205,0.0000048340817,0.000037528196,0.00055400166],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985875,0.000026191918,0.0007198343,0.00029799572,0.00001380357,0.00035468565],"domain_scores_gemma":[0.99876386,0.000119363605,0.0005675209,0.00037327965,0.000007307709,0.0001686496],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000868506,0.00016424683,0.0006493815,0.000053571188,0.00007849615,0.000072157294,0.00026692773,0.00002406674,0.00011731713],"category_scores_gemma":[0.00004101027,0.0001356962,0.00020122262,0.00008178534,0.0003959186,0.00021466994,0.00010102403,0.00010116375,0.0009996081],"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":[0.0000073974606,0.000033792694,0.057419155,0.00010908627,0.00027065942,6.041597e-7,0.00010243428,0.000012226085,1.9189527e-7,0.6543898,0.021617291,0.26603737],"study_design_scores_gemma":[0.00007947648,0.000027902868,0.0085926335,0.000046963673,0.000019680518,0.000011904234,0.000056406945,0.0015168744,0.0000012690625,0.0021797046,0.9872612,0.00020599154],"about_ca_topic_score_codex":0.0019093548,"about_ca_topic_score_gemma":0.00029612053,"teacher_disagreement_score":0.9656439,"about_ca_system_score_codex":0.00013414232,"about_ca_system_score_gemma":0.000011533802,"threshold_uncertainty_score":0.9997782},"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":"W2095084595","doi":"10.1080/09654310120057340","title":"Innovation System Effects on Technological Adoption in a Regional Value Chain","year":2001,"lang":"en","type":"article","venue":"European Planning Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Business; Spillover effect; Sample (material); Industrial organization; Value (mathematics); Work (physics); Quarter (Canadian coin); Survey data collection; Global value chain; Production (economics); Marketing; Economics; International trade; Microeconomics; Comparative advantage","score_opus":0.0750670934896751,"score_gpt":0.2545869896605586,"score_spread":0.1795198961708835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095084595","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":[0.9636236,0.0023912766,0.0013136523,0.0018025689,0.00017016818,0.00013801438,0.000005180351,0.00009951524,0.030456021],"genre_scores_gemma":[0.9984905,0.0003838039,0.00022664803,0.0004044528,0.00015611158,0.000016570837,0.000014691462,0.000016936143,0.0002902837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99880964,0.000053075088,0.0005385515,0.0003689145,0.00003653836,0.00019328615],"domain_scores_gemma":[0.99938005,0.0001264699,0.00028293979,0.00016338361,0.00002821278,0.000018932858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009381607,0.00014654789,0.00036896448,0.00061178906,0.00012074845,0.000031583248,0.00013835866,0.00004525938,0.0000028754084],"category_scores_gemma":[0.00019737027,0.00014440087,0.000063451764,0.00057300174,0.000055699817,0.00007101223,0.000059013626,0.00015881879,0.00029848964],"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":[0.000045064837,0.00005167299,0.06424295,0.00004598549,0.00012401694,0.00017292183,0.00040909505,0.005838258,0.00001619074,0.92406577,0.0010025521,0.003985537],"study_design_scores_gemma":[0.0025197181,0.00066043244,0.83090276,0.0013527325,0.000027829996,0.00006280316,0.0029566768,0.030501936,0.00004372693,0.0294764,0.100235865,0.0012591168],"about_ca_topic_score_codex":0.000027504253,"about_ca_topic_score_gemma":0.0000031407792,"teacher_disagreement_score":0.89458936,"about_ca_system_score_codex":0.00018012352,"about_ca_system_score_gemma":0.000003185936,"threshold_uncertainty_score":0.58884966},"labels":[],"label_agreement":null},{"id":"W2095296684","doi":"10.1007/s11187-014-9612-2","title":"Regional entrepreneurship and innovation in Chile: a knowledge matching approach","year":2014,"lang":"en","type":"article","venue":"Small Business Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"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","funders":"","keywords":"Entrepreneurship; Matching (statistics); Context (archaeology); Explanatory power; Dimension (graph theory); Economic geography; Regional science; Business; Industrial organization; Function (biology); Regional development; Innovation management; Knowledge management; Economics; Marketing; Geography; Computer science","score_opus":0.05203874297018599,"score_gpt":0.20780396380680985,"score_spread":0.15576522083662386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095296684","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":[0.96238756,0.0003476452,0.0095051415,0.0016433488,0.00018848911,0.00014728727,0.000019215282,0.000024272364,0.02573706],"genre_scores_gemma":[0.996277,0.0006678904,0.0017779457,0.00046341165,0.00020134206,0.00003536486,0.00010585835,0.000035443845,0.0004357824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980542,0.000020544367,0.00097118434,0.00065491995,0.000011787068,0.0002873627],"domain_scores_gemma":[0.99901694,0.000075123804,0.0004765712,0.00031441785,0.00005368266,0.00006328524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008183447,0.00022088969,0.00055493525,0.0009504561,0.00009079694,0.00015172974,0.00023256808,0.00013951042,0.000035385718],"category_scores_gemma":[0.00008143951,0.00027538193,0.00007080688,0.0006646423,0.00007747148,0.00026771348,0.00010466701,0.0001463346,0.00008379269],"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":[0.000016554997,0.00009117208,0.075763024,0.00004114282,0.000030160705,2.8471865e-7,0.00027725197,0.0054491954,0.0000038216776,0.9154524,0.00003551401,0.0028394766],"study_design_scores_gemma":[0.0014532167,0.000025715637,0.39312398,0.00003191473,0.000011785181,0.000018541354,0.000088926914,0.115668155,0.000008335563,0.44557405,0.0432174,0.0007779838],"about_ca_topic_score_codex":0.00095907203,"about_ca_topic_score_gemma":0.0007614354,"teacher_disagreement_score":0.46987835,"about_ca_system_score_codex":0.00011832869,"about_ca_system_score_gemma":0.000034121953,"threshold_uncertainty_score":0.99996984},"labels":[],"label_agreement":null},{"id":"W2095630273","doi":"10.1177/0308518x15595770","title":"Central places or networks? Paradigms, metaphors, and spatial configurations of innovation-related service use","year":2015,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Marketing buzz; Hierarchy; Urban hierarchy; Service (business); Paradigm shift; Order (exchange); Street network; Economic geography; Summit; Computer science; Data science; Sociology; Regional science; Knowledge management; Business; Geography; Epistemology; Marketing; Political science; Engineering; Transport engineering; World Wide Web; Cartography","score_opus":0.04718489034072353,"score_gpt":0.20597198499517871,"score_spread":0.15878709465445517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095630273","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":[0.9871022,0.0032588537,0.00566892,0.0018130124,0.00008431929,0.00015890878,0.00007633655,0.000010178601,0.0018272729],"genre_scores_gemma":[0.99775136,0.0009806991,0.00038218853,0.0001977141,0.000050491064,0.000009421708,0.00010797365,0.000010405501,0.00050975196],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989375,0.000016138469,0.00053663715,0.00031322063,0.000018660361,0.00017787522],"domain_scores_gemma":[0.9992551,0.00010327563,0.00038252072,0.00011974784,0.000013507879,0.00012581462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028994185,0.0001543005,0.00038799067,0.00015208205,0.00010406568,0.00011298494,0.000054348682,0.00009656058,0.00009361955],"category_scores_gemma":[0.000034115525,0.00015512585,0.000025072015,0.00011514382,0.000094447416,0.00032351192,0.000044352742,0.000096125106,0.000005977916],"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":[0.00018952771,0.000072774055,0.73408276,0.000035380086,0.00051444327,0.000007495813,0.0036302463,0.039597016,0.000006411669,0.21987061,0.00094065856,0.0010527052],"study_design_scores_gemma":[0.0026603898,0.0002895843,0.20152493,0.000051557327,0.00012701172,0.00002868667,0.001746632,0.5528607,0.000030518222,0.014019851,0.22582135,0.0008388421],"about_ca_topic_score_codex":0.0016162861,"about_ca_topic_score_gemma":0.00014097661,"teacher_disagreement_score":0.5325578,"about_ca_system_score_codex":0.00002202571,"about_ca_system_score_gemma":0.000016455391,"threshold_uncertainty_score":0.6325848},"labels":[],"label_agreement":null},{"id":"W2096673868","doi":"10.2139/ssrn.2141853","title":"Cities and Growth: Human Capital Location Choice: Accounting for Amenities and Thick Labour Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Statistics Canada","funders":"","keywords":"Human capital; Economics; Labour economics; Business; Accounting; Market economy","score_opus":0.0156399369912224,"score_gpt":0.21664621988038554,"score_spread":0.20100628288916314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096673868","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":[0.9809978,0.014212205,0.002704076,0.0011800615,0.00011606235,0.00008502265,0.000018094057,0.000008178464,0.00067847606],"genre_scores_gemma":[0.99217254,0.0056757214,0.00007808577,0.00015338794,0.0005938662,0.000012105748,0.000008783293,0.000019688068,0.0012857978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984774,0.000011628287,0.0003781413,0.00016946025,0.000028426834,0.0009349734],"domain_scores_gemma":[0.9993948,0.0000729875,0.0003250296,0.00006975308,0.000064367756,0.000073078554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014548566,0.00012812516,0.00026101762,0.00019545699,0.0004015747,0.00019002681,0.00009691702,0.00007115303,0.000027420274],"category_scores_gemma":[0.00008349768,0.0001382537,0.00007471159,0.00006686575,0.00006654718,0.0005975792,0.00003125844,0.00035860846,0.0000073857923],"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":[0.000007814657,0.000013806999,0.15916914,0.000018854205,0.00011914004,4.7224272e-8,0.00028975855,0.000002583409,0.000007275123,0.8395904,0.00002131798,0.0007599085],"study_design_scores_gemma":[0.00051095587,0.00008268822,0.11847338,0.000009889785,0.00002487376,0.00005148955,0.0014848612,0.0003877903,0.000009089447,0.8757094,0.003019428,0.00023614852],"about_ca_topic_score_codex":0.0008284269,"about_ca_topic_score_gemma":0.0007566755,"teacher_disagreement_score":0.04069576,"about_ca_system_score_codex":0.00024026162,"about_ca_system_score_gemma":0.00007633973,"threshold_uncertainty_score":0.5637823},"labels":[],"label_agreement":null},{"id":"W2097321635","doi":"10.1177/0042098011411949","title":"Knowledge in Cities","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"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":"U.S. Department of Labor","keywords":"Metropolitan area; Benchmarking; Productivity; Regional science; Per capita; Economic geography; Economic growth; Geography; Business; Economics; Marketing; Sociology","score_opus":0.15941386227046955,"score_gpt":0.24896153473084032,"score_spread":0.08954767246037076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097321635","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":[0.5343596,0.060187064,0.00010471859,0.00041845546,0.00042336687,0.000087951106,0.000024219575,0.00002804348,0.4043666],"genre_scores_gemma":[0.9925678,0.0018021095,0.00018023145,0.00010149724,0.000076775475,0.000023783705,0.0000015315383,0.000009229916,0.0052370536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999207,0.0000056158806,0.00038621662,0.00022669339,0.000008935589,0.00016550749],"domain_scores_gemma":[0.99966717,0.00002927873,0.00011081684,0.00014393499,0.000021388887,0.000027385127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020073986,0.00009723415,0.00038087938,0.00024040707,0.00005273499,0.0000113914775,0.00011903569,0.000032964384,0.00019514086],"category_scores_gemma":[0.00003215813,0.00010163756,0.00009826565,0.00015289635,0.00008731081,0.000092398666,0.0000675391,0.000055846864,0.0006552317],"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":[0.0000056210174,0.000053590553,0.28110877,0.000011968358,0.00014226779,0.000003006659,0.005988774,0.0000031615873,3.609171e-7,0.70755726,0.004788565,0.00033663138],"study_design_scores_gemma":[0.0006892924,0.00010120586,0.27806568,0.00003324938,0.000016170752,0.0000016076064,0.0037045556,0.0010119373,0.000044729488,0.5721294,0.14360228,0.0005998892],"about_ca_topic_score_codex":0.00055860635,"about_ca_topic_score_gemma":0.0010177523,"teacher_disagreement_score":0.4582082,"about_ca_system_score_codex":0.000066024455,"about_ca_system_score_gemma":0.000005814333,"threshold_uncertainty_score":0.8421896},"labels":[],"label_agreement":null},{"id":"W2097756203","doi":"10.1080/0042098002104","title":"Diversity and Specialisation in Cities: Why, Where and When Does it Matter?","year":2000,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":740,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Diversity (politics); Economic geography; Composition (language); Empirical evidence; Empirical research; Sociology; Economics; Epistemology","score_opus":0.041152736093514275,"score_gpt":0.206231064499897,"score_spread":0.16507832840638273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097756203","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":[0.9743072,0.008422896,0.000013511891,0.007251412,0.000065582135,0.00006327449,0.00003304493,0.0000057987772,0.00983728],"genre_scores_gemma":[0.98025167,0.013226689,0.00006429277,0.0007833696,0.00009991531,0.0000053219383,0.0000022675288,0.0000055712176,0.00556088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936515,0.0000073083556,0.00024931596,0.0002479697,0.000016553646,0.00011368751],"domain_scores_gemma":[0.99975884,0.00003821986,0.00007785007,0.00008569644,0.000010816474,0.000028578825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014067224,0.00009212788,0.0003116317,0.00010954526,0.0003564685,0.000033329776,0.000056724424,0.000033520526,0.0007465692],"category_scores_gemma":[0.000009613091,0.000086206266,0.000036695765,0.00004819638,0.00010685556,0.00016878688,0.00020439026,0.00004297677,0.00005406911],"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":[0.000010001606,0.000011545348,0.96323067,0.000021894122,0.00009234268,0.0000016300804,0.013097333,0.0000150243595,1.18500346e-7,0.012688459,0.0101177385,0.0007132613],"study_design_scores_gemma":[0.00064891245,0.000038311446,0.63078403,0.00003643444,0.000021678867,0.0000013975637,0.0032062219,0.00076135586,0.0000012562022,0.20384958,0.16029662,0.00035420278],"about_ca_topic_score_codex":0.002848842,"about_ca_topic_score_gemma":0.0058958023,"teacher_disagreement_score":0.33244663,"about_ca_system_score_codex":0.000050866834,"about_ca_system_score_gemma":0.0000016959866,"threshold_uncertainty_score":0.8174409},"labels":[],"label_agreement":null},{"id":"W2098617971","doi":"10.5931/djim.v11i0.5527","title":"The Effects of Capital on Interprovincial Migration: A Nova Scotia Focused Assessment","year":2015,"lang":"en","type":"article","venue":"Dalhousie Journal of Interdisciplinary Management","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Economics; Per capita; Status quo; Demographic economics; Capital (architecture); Capital expenditure; Geography; Demography; Finance; Population","score_opus":0.018505013429570907,"score_gpt":0.2571066108526571,"score_spread":0.23860159742308623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098617971","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":[0.9562644,0.00068499637,0.011037702,0.006373686,0.0024926125,0.0003031847,0.000016665697,0.0000072849066,0.022819512],"genre_scores_gemma":[0.9981659,0.000102995225,0.0008032678,0.0001043678,0.00024747648,0.000005127945,0.0000039452407,0.000018187542,0.00054869836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823123,0.000034437453,0.0011969553,0.00021152744,0.00013743139,0.00018840835],"domain_scores_gemma":[0.9980656,0.000114501825,0.0012700955,0.000313912,0.00011834241,0.0001175665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010018451,0.00017320323,0.00049144047,0.00036832332,0.000096010794,0.00010486202,0.000540522,0.000045973597,0.000028457609],"category_scores_gemma":[0.00004693883,0.00013132379,0.00037640927,0.00017046163,0.00008916007,0.0002029981,0.00042050262,0.00018654272,0.00006888936],"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":[0.0020272061,0.0023687512,0.023056882,0.00045697385,0.0050409753,0.0005034824,0.010530904,0.007234593,0.000056219615,0.86220545,0.05196154,0.034557037],"study_design_scores_gemma":[0.020350322,0.029463775,0.22446634,0.0022455805,0.0010201441,0.00020616844,0.019132717,0.056013595,0.0009648671,0.58843124,0.054820366,0.0028849177],"about_ca_topic_score_codex":0.00013059862,"about_ca_topic_score_gemma":0.0005926129,"teacher_disagreement_score":0.27377424,"about_ca_system_score_codex":0.00026952362,"about_ca_system_score_gemma":0.00004069532,"threshold_uncertainty_score":0.5355229},"labels":[],"label_agreement":null},{"id":"W2100219055","doi":"10.5539/ibr.v6n10p111","title":"Location Choice Network Patterns of Japanese Multinational Companies in Europe","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Business; Investment (military); Economic geography; Industrial organization; Geographical distance; Marketing; Finance; Economics","score_opus":0.07648014585470253,"score_gpt":0.30567268811706294,"score_spread":0.2291925422623604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100219055","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":[0.9775757,0.00029976337,0.00091192144,0.0075826463,0.00031026435,0.00022573741,0.00004251436,0.000009151944,0.013042298],"genre_scores_gemma":[0.9971875,0.00019987093,0.00021025648,0.00008097925,0.00028169918,0.00007028476,0.00010634205,0.000015283173,0.0018477681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985598,0.000038335806,0.00067145453,0.00031601585,0.00016439309,0.00025001497],"domain_scores_gemma":[0.99757713,0.00027411565,0.00022552088,0.00019207105,0.0016833406,0.00004783566],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007313025,0.00009762903,0.0002579923,0.0006538153,0.00005992558,0.000113607806,0.0005003287,0.000058002697,0.0012636216],"category_scores_gemma":[0.00069539534,0.00010800212,0.000045898487,0.0011479673,0.000083959596,0.0004058086,0.00015818942,0.00017151004,0.0006509353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001595578,0.00018831722,0.8769869,0.0000404193,0.00006380701,0.0000018242276,0.00021206711,0.036139607,0.000033546658,0.085242875,0.0007008312,0.0003738295],"study_design_scores_gemma":[0.00032195804,0.000010508916,0.9373917,0.000045811066,7.253038e-7,0.0000011233454,0.000060359034,0.047512747,0.0000059872696,0.007923705,0.006619688,0.00010568289],"about_ca_topic_score_codex":0.037621383,"about_ca_topic_score_gemma":0.0015021058,"teacher_disagreement_score":0.077319175,"about_ca_system_score_codex":0.00012922479,"about_ca_system_score_gemma":0.00004058505,"threshold_uncertainty_score":0.99964935},"labels":[],"label_agreement":null},{"id":"W2100870282","doi":"10.1111/coep.12037","title":"COMMERCIAL REVITALIZATION IN LOW‐INCOME URBAN COMMUNITIES: THE HOLDUP PROBLEM AND URBAN DEVELOPMENT POLICY","year":2014,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council; University of Alberta","funders":"","keywords":"Incentive; Monopolistic competition; Negotiation; Profitability index; Economics; Economies of agglomeration; Industrial organization; Business; Profit (economics); Competition (biology); Microeconomics; Finance","score_opus":0.03247945094782165,"score_gpt":0.22850632717628444,"score_spread":0.1960268762284628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100870282","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":[0.8469488,0.0022023998,0.0008418842,0.018525492,0.00022463778,0.00076135434,0.00016753713,0.00006160862,0.13026625],"genre_scores_gemma":[0.99504244,0.00043066914,0.00010093514,0.0025044393,0.0006451041,0.0000868751,0.00010691415,0.000043668042,0.0010389634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977522,0.00009497737,0.0013244783,0.00040339347,0.000028379109,0.0003965802],"domain_scores_gemma":[0.99845886,0.0001550943,0.00063541136,0.00057626324,0.000018416851,0.00015596411],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011442426,0.00030172177,0.00074459636,0.0007924713,0.00030319204,0.00022401412,0.0005610933,0.00013517869,0.000058386133],"category_scores_gemma":[0.00006415001,0.0003036876,0.00013946586,0.00025353068,0.00022023727,0.00045181238,0.0002391438,0.0002121496,0.00023963249],"study_design_candidate":"theoretical_or_conceptual","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":[0.000017918583,0.000043119006,0.3245391,0.00004257189,0.00007247064,5.372165e-7,0.0026555776,0.00025543984,4.9698053e-7,0.668899,0.0020415701,0.0014321967],"study_design_scores_gemma":[0.0023886913,0.00012030717,0.25533032,0.00016137857,0.000009014933,0.000008894338,0.0003997851,0.03160151,0.000011824121,0.09523518,0.6136119,0.0011212049],"about_ca_topic_score_codex":0.027004063,"about_ca_topic_score_gemma":0.0031297153,"teacher_disagreement_score":0.6115703,"about_ca_system_score_codex":0.0005564146,"about_ca_system_score_gemma":0.0003259857,"threshold_uncertainty_score":0.9999415},"labels":[],"label_agreement":null},{"id":"W2101460041","doi":"10.1111/j.1541-0064.2009.00280.x","title":"Une histoire de résidus : à propos des facteurs généraux et locaux de croissance régionale au Canada, de 1971 à 2001","year":2009,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.014683214027662024,"score_gpt":0.1890245465856128,"score_spread":0.17434133255795078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101460041","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":[0.79252875,0.040124718,0.00017669085,0.14653544,0.0017616259,0.00046713112,0.0029195088,0.000058913363,0.015427216],"genre_scores_gemma":[0.9570946,0.02287557,0.0010565157,0.008472914,0.00048592087,0.000082161074,0.00025745734,0.000119535376,0.009555316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99290323,0.00014076858,0.0013220502,0.0012887086,0.00015297896,0.0041922773],"domain_scores_gemma":[0.9945156,0.00018711817,0.000684329,0.000909677,0.0002727673,0.0034305395],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00097244646,0.0009316383,0.0013178599,0.0036548872,0.0020550727,0.0003666225,0.0011661239,0.00059500727,0.00039673803],"category_scores_gemma":[0.00027898714,0.0013216732,0.00089703605,0.004931802,0.0031486724,0.0005822339,0.000053958793,0.0007474065,0.000023539224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000037325342,0.00010333015,0.5908558,0.00013688397,0.0005959453,0.0005761682,0.0015179049,0.0041622566,0.000007389296,0.30474654,0.08616167,0.01109879],"study_design_scores_gemma":[0.00051328837,0.00023731914,0.5329632,0.00021097487,0.00015077995,0.00025603527,0.0027273966,0.0017207058,0.000011717857,0.09657805,0.36314085,0.0014896758],"about_ca_topic_score_codex":0.9998093,"about_ca_topic_score_gemma":0.99999315,"teacher_disagreement_score":0.27697918,"about_ca_system_score_codex":0.0066651017,"about_ca_system_score_gemma":0.007306385,"threshold_uncertainty_score":0.9995642},"labels":[],"label_agreement":null},{"id":"W2102654225","doi":"10.1006/juec.2000.2178","title":"Externalities, Indivisibility, Nonreplicability, and Agglomeration","year":2000,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","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":false,"ca_institutions":"McMaster University","funders":"","keywords":"Diseconomies of scale; Externality; Economies of agglomeration; Economics; Economies of scale; Subsidy; Scale (ratio); Population; Microeconomics; Market economy; Geography","score_opus":0.024147547286138688,"score_gpt":0.20639696550672734,"score_spread":0.18224941822058865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102654225","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":[0.9879556,0.0016306862,0.00039561358,0.0018183399,0.00018129124,0.000075319316,0.00005796587,0.000005682444,0.007879543],"genre_scores_gemma":[0.9941891,0.0031084314,0.0007060721,0.00042531884,0.0003705626,0.0000022233728,0.0000051475595,0.00001791717,0.0011752722],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980742,0.000019066027,0.0013970572,0.0002943819,0.000025175239,0.0001901408],"domain_scores_gemma":[0.99862725,0.00007067699,0.0008284009,0.00026678227,0.000045864483,0.00016103254],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010354783,0.0001528454,0.0006114673,0.0001671181,0.0000824055,0.00017879072,0.00024663008,0.00009319692,0.0012623065],"category_scores_gemma":[0.00004730679,0.00016870392,0.00025616656,0.00007602672,0.000100608166,0.00055252964,0.000037651156,0.00017164854,0.000110076886],"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":[0.00020394153,0.00035692626,0.644225,0.000048504357,0.0005805407,0.000010571911,0.0011834805,0.0026332135,0.000023531564,0.3088741,0.0026774416,0.039182764],"study_design_scores_gemma":[0.0019438581,0.0004885918,0.23816133,0.000030742613,0.00005662268,0.00019144811,0.00011533078,0.016604781,0.000082714585,0.4957408,0.24586648,0.00071730517],"about_ca_topic_score_codex":0.00027295094,"about_ca_topic_score_gemma":0.00008102599,"teacher_disagreement_score":0.40606365,"about_ca_system_score_codex":0.00016352673,"about_ca_system_score_gemma":0.000038831633,"threshold_uncertainty_score":0.99965066},"labels":[],"label_agreement":null},{"id":"W2105847103","doi":"10.1111/j.0008-4085.2005.00279.x","title":"Trade, market size, and industrial structure: revisiting the home‐market effect","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Market structure; Homogeneous; Industrialisation; Factor market; Market size; Production (economics); Industrial production; Microeconomics; Industrial organization; International economics; Market economy; Macroeconomics","score_opus":0.06709145244914098,"score_gpt":0.16574796496056493,"score_spread":0.09865651251142395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105847103","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":[0.96907026,0.0019627376,0.000020252426,0.021977909,0.0009777459,0.0002772641,0.0005610348,0.0000053956173,0.0051474213],"genre_scores_gemma":[0.99379075,0.0005818775,0.00022383417,0.0012167728,0.003248106,0.0000096672975,0.000008169808,0.00006308627,0.0008577583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968649,0.0000932523,0.0016980995,0.0005395289,0.0000031741904,0.00080103934],"domain_scores_gemma":[0.9960053,0.0006349207,0.0015019522,0.00048223935,0.000050765142,0.0013248421],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021106587,0.00041041788,0.0012200663,0.00062369485,0.00037746134,0.00041432184,0.0007439297,0.00030518128,0.0023271898],"category_scores_gemma":[0.00056921504,0.0004151748,0.0004417251,0.00019596421,0.00025821035,0.00059983233,0.000040636496,0.00065351144,0.000018211234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031405938,0.0000145468275,0.11242237,0.00008139817,0.001363567,0.00010108726,0.0013153311,0.0051895725,0.0000069065345,0.8149463,0.015246739,0.0489981],"study_design_scores_gemma":[0.0035754663,0.00057718554,0.033303462,0.00015595328,0.00019410023,0.0011131751,0.00031807454,0.024435058,0.000045589073,0.26243284,0.67225665,0.0015924824],"about_ca_topic_score_codex":0.047006328,"about_ca_topic_score_gemma":0.7020989,"teacher_disagreement_score":0.6570099,"about_ca_system_score_codex":0.0013140097,"about_ca_system_score_gemma":0.0005411175,"threshold_uncertainty_score":0.99983},"labels":[],"label_agreement":null},{"id":"W2106034290","doi":"10.7202/021108ar","title":"The Spatial Linkages of Manufacturing in Montreal and its Surroundings","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Linkage (software); Economic geography; Order (exchange); Enhanced Data Rates for GSM Evolution; Industrial organization; Business; Economy; Economics; Computer science; Artificial intelligence","score_opus":0.008351658559405973,"score_gpt":0.17806895271755693,"score_spread":0.16971729415815096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106034290","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":[0.98907316,0.0031713303,0.00020068885,0.004589534,0.000054378484,0.0000786313,0.000012129959,0.0000077179,0.0028124156],"genre_scores_gemma":[0.9951721,0.003777002,0.000037638765,0.000143244,0.00008063007,0.000011646015,0.0000024636108,0.0000117571735,0.0007635367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903935,0.000013963247,0.0004644578,0.00023049068,0.000023991672,0.0002277171],"domain_scores_gemma":[0.99936205,0.00016247714,0.0002398958,0.00014638423,0.0000142476165,0.0000749483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004964893,0.00011485432,0.00029202507,0.00032101342,0.00014061405,0.000051358624,0.00018037054,0.00010131715,0.000026575712],"category_scores_gemma":[0.00007110904,0.00010748069,0.00014565585,0.00014929366,0.00047261568,0.000114133676,0.000028867087,0.00016526031,0.000018284029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081514016,0.00012970703,0.5874649,0.000047713336,0.00034556913,0.00001141412,0.0025798052,0.0018667083,0.00005168492,0.35402456,0.0005789387,0.05281748],"study_design_scores_gemma":[0.0008749932,0.000055513203,0.9140917,0.00001605753,0.000020985659,0.000008024621,0.00017203021,0.012313812,0.0005920513,0.028553756,0.042951073,0.000350007],"about_ca_topic_score_codex":0.06952684,"about_ca_topic_score_gemma":0.24675484,"teacher_disagreement_score":0.32662678,"about_ca_system_score_codex":0.00012339011,"about_ca_system_score_gemma":0.000025057598,"threshold_uncertainty_score":0.9366693},"labels":[],"label_agreement":null},{"id":"W2106348588","doi":"10.3917/eg.371.0016","title":"Vers une nouvelle forme urbaine ? Desserrement et diffusion de l'emploi dans la région métropolitaine de Montréal","year":2008,"lang":"fr","type":"article","venue":"L’Espace géographique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Sociology; Philosophy","score_opus":0.014059031296089788,"score_gpt":0.20988587676663445,"score_spread":0.19582684547054466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106348588","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":[0.8698781,0.0084030805,0.052590795,0.061088443,0.0003792324,0.00033948643,0.00016620477,0.000059423026,0.0070952456],"genre_scores_gemma":[0.91172534,0.067428865,0.0036086903,0.0013754833,0.00024416097,0.000073171504,0.000103157494,0.000092592694,0.0153485155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970301,0.00015630781,0.00091947004,0.0007707233,0.00010283749,0.0010205846],"domain_scores_gemma":[0.99810463,0.00018158069,0.00060812215,0.0005892365,0.00008302522,0.0004333778],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009591265,0.0005038571,0.00087205024,0.00073871703,0.00048806248,0.00010744727,0.00041415816,0.00047420184,0.00014722113],"category_scores_gemma":[0.00009245553,0.0006296962,0.00082784094,0.0010136089,0.00071003643,0.00034961174,0.00015931418,0.00049893005,0.00008847087],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018675241,0.0007568041,0.37777328,0.00008687687,0.00048397342,0.00019304677,0.0063132886,0.0075804465,0.0002604004,0.5968245,0.008906074,0.00063454744],"study_design_scores_gemma":[0.002995206,0.0007084678,0.35937196,0.00019190174,0.00018409813,0.0003453872,0.0028129604,0.06433001,0.00025546155,0.05543496,0.51178265,0.0015869285],"about_ca_topic_score_codex":0.12171864,"about_ca_topic_score_gemma":0.06954072,"teacher_disagreement_score":0.5413896,"about_ca_system_score_codex":0.00133921,"about_ca_system_score_gemma":0.00020991277,"threshold_uncertainty_score":0.99961543},"labels":[],"label_agreement":null},{"id":"W2106406592","doi":"10.3917/reof.104.0141","title":"Le rôle des marchés locaux du travail dans la concentration spatiale des activités économiques","year":2008,"lang":"fr","type":"article","venue":"Revue de l'OFCE/˜La œRevue de l'OFCE","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03063853318614206,"score_gpt":0.2038784103139751,"score_spread":0.17323987712783304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106406592","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":[0.89227575,0.013276881,0.04762028,0.0131284,0.0006553734,0.00058190635,0.0005758083,0.000114928225,0.03177069],"genre_scores_gemma":[0.9410036,0.039964244,0.007217062,0.00038319262,0.0015919378,0.00014666253,0.00018764389,0.00019087135,0.009314763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.994824,0.0004493463,0.0018018271,0.0014193074,0.00008524276,0.0014202814],"domain_scores_gemma":[0.9962937,0.0007767656,0.0011868386,0.00094107765,0.00019157435,0.0006100223],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016310913,0.00079573697,0.0016758544,0.00041335542,0.00091324607,0.00047204888,0.0009037549,0.00088536384,0.000549725],"category_scores_gemma":[0.00041686487,0.0011743117,0.00097340264,0.0006227857,0.0017384951,0.0012431422,0.00020318666,0.0008087044,0.00041346447],"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":[0.00019133299,0.0010051308,0.45681953,0.00083969824,0.00082657527,0.00047670203,0.0069253803,0.01962725,0.00059260504,0.47925532,0.0021927038,0.031247778],"study_design_scores_gemma":[0.0029901715,0.0005942185,0.31838182,0.00087602105,0.00039124183,0.0024585892,0.0016283008,0.25372878,0.002766959,0.07053248,0.3427728,0.002878639],"about_ca_topic_score_codex":0.020536594,"about_ca_topic_score_gemma":0.016574496,"teacher_disagreement_score":0.40872285,"about_ca_system_score_codex":0.0015434932,"about_ca_system_score_gemma":0.0007215153,"threshold_uncertainty_score":0.9990707},"labels":[],"label_agreement":null},{"id":"W2106562394","doi":"10.1068/a3849","title":"Testing the Elastic-Cities Concept within a Nonmetropolitan Environment: Evidence from British Columbia, Canada, 1971 to 2001","year":2007,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Annexation; Urban sprawl; Economic geography; Population; Geography; Urban planning; Regional science; Economic growth; Economics; Political science; Demography; Sociology; Civil engineering","score_opus":0.028387717131285878,"score_gpt":0.18605184641478278,"score_spread":0.1576641292834969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106562394","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":[0.9846032,0.0060862773,0.0041107144,0.0016572761,0.00011832433,0.00020285191,0.00021235,0.0000104119035,0.0029985607],"genre_scores_gemma":[0.9942821,0.0003077877,0.0018660163,0.0009267045,0.00022606824,0.000018196775,0.000021859472,0.000020156363,0.0023310762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837315,0.000018513929,0.00054798444,0.0005928821,0.000048635437,0.0004188268],"domain_scores_gemma":[0.9986001,0.0005893818,0.00029982146,0.00023645682,0.0000046640253,0.000269533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062639045,0.0001852171,0.00041307954,0.00005391918,0.00046534734,0.00039375527,0.00017970604,0.00007780464,0.00047947932],"category_scores_gemma":[0.000098761586,0.00024640586,0.00005148141,0.00006170927,0.0001871697,0.00019115415,0.00012944313,0.00018085407,0.000038576058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001786592,0.000020760115,0.98619395,0.000008979112,0.00014362496,0.00003746716,0.001511171,0.0041410853,0.000013094758,0.0015452116,0.005096485,0.0012703186],"study_design_scores_gemma":[0.0004930138,0.0001627023,0.81482995,0.00010446355,0.000050659077,0.00002305016,0.003398448,0.008362373,0.000021452444,0.0061267787,0.16562635,0.0008007483],"about_ca_topic_score_codex":0.7949505,"about_ca_topic_score_gemma":0.39906847,"teacher_disagreement_score":0.395882,"about_ca_system_score_codex":0.00023736601,"about_ca_system_score_gemma":0.000029552599,"threshold_uncertainty_score":0.9999988},"labels":[],"label_agreement":null},{"id":"W2106633499","doi":"","title":"Agent-based Micro-simulation of Business Establishments","year":2002,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Purchasing; Process (computing); Consumption (sociology); Measure (data warehouse); Computer science; Attractiveness; Probabilistic logic; Redevelopment; Econometrics; Microeconomics; Operations research; Economics; Business; Marketing; Engineering; Civil engineering","score_opus":0.036669622285888916,"score_gpt":0.2253776190739915,"score_spread":0.1887079967881026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106633499","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":[0.9588101,0.0038530543,0.009662357,0.0008157314,0.0032997604,0.00063934457,0.0021943108,0.00008181626,0.02064354],"genre_scores_gemma":[0.9940813,0.00062827463,0.0017572567,0.00032778404,0.0003922293,0.000081212245,0.00044491357,0.00009974074,0.0021872602],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953763,0.000052592393,0.0024854776,0.0014028595,0.00011194139,0.00057086005],"domain_scores_gemma":[0.99497294,0.00021344253,0.0029862223,0.0013002208,0.00028335108,0.00024379005],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006830918,0.00068942097,0.0019678455,0.0013044642,0.00017459074,0.00022185333,0.00087445555,0.00070403743,0.0047788615],"category_scores_gemma":[0.0001975526,0.0008917168,0.0009325235,0.00042845437,0.00034221107,0.00031213262,0.00037358387,0.000558174,0.0010114972],"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":[0.0000397469,0.00041699692,0.76261765,0.00037369592,0.00061497296,0.000011273372,0.00013028792,0.22670081,0.000024688712,0.0059433337,0.0026976971,0.0004288274],"study_design_scores_gemma":[0.0034780377,0.00012995904,0.35447764,0.0005081365,0.00029521174,0.000010307216,0.00006209429,0.53854203,0.00031192848,0.019485872,0.07938377,0.0033149929],"about_ca_topic_score_codex":0.0016484762,"about_ca_topic_score_gemma":0.0002197047,"teacher_disagreement_score":0.40814003,"about_ca_system_score_codex":0.0006600217,"about_ca_system_score_gemma":0.00025304145,"threshold_uncertainty_score":0.99976635},"labels":[],"label_agreement":null},{"id":"W2109866925","doi":"10.3368/le.83.2.128","title":"Riding the Wave of Urban Growth in the Countryside: Spread, Backwash, or Stagnation?","year":2007,"lang":"en","type":"article","venue":"Land Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":143,"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":"Rural area; Population growth; Economies of agglomeration; Center (category theory); Geography; Population; Economic geography; Economic growth; Economics; Demography; Political science; Sociology","score_opus":0.03564527025508012,"score_gpt":0.21193988478816203,"score_spread":0.1762946145330819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109866925","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":[0.9725918,0.0003361033,0.00070900674,0.0029034666,0.00022822824,0.00020595356,0.000118568845,0.000006833589,0.022900024],"genre_scores_gemma":[0.9974497,0.0009641461,0.00013703585,0.00077169534,0.00021791708,0.000010635115,0.000025638547,0.000016498394,0.0004067422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99850756,0.000015518859,0.0008849562,0.0002838285,0.000025840465,0.0002823248],"domain_scores_gemma":[0.99870723,0.000397248,0.0004879498,0.000336693,0.0000281309,0.0000427383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018671337,0.00014586576,0.00039954024,0.00018877006,0.000116859504,0.00009247547,0.00039871392,0.00008687614,0.00023687411],"category_scores_gemma":[0.00007299008,0.000098660064,0.00015351224,0.0001913514,0.00008372119,0.00018712712,0.00004929522,0.00015084716,0.000078035955],"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":[0.000075787895,0.000070966715,0.32920521,0.000017208233,0.00010183191,0.0000046068044,0.0011144094,0.0012508167,0.0000015379957,0.6668954,0.000842331,0.00041988175],"study_design_scores_gemma":[0.0030881062,0.0002520226,0.4771154,0.000036095087,0.000070733964,0.00004364938,0.0027029791,0.082149014,0.00026510688,0.26786768,0.16527663,0.0011325898],"about_ca_topic_score_codex":0.0022860954,"about_ca_topic_score_gemma":0.006159928,"teacher_disagreement_score":0.3990277,"about_ca_system_score_codex":0.00011826089,"about_ca_system_score_gemma":0.000029701803,"threshold_uncertainty_score":0.40232405},"labels":[],"label_agreement":null},{"id":"W2111760097","doi":"10.1177/0160017606286357","title":"Internal Migration, Asymmetric Shocks, and Interprovincial Economic Adjustments in Canada","year":2006,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Human capital; Unemployment; Differential (mechanical device); Internal migration; Productivity; Convergence (economics); Demographic economics; Economic geography; Net migration rate; Population; Macroeconomics; Economic growth; Developing country; Population growth","score_opus":0.014757580398897107,"score_gpt":0.22675259809475665,"score_spread":0.21199501769585954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111760097","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":[0.79198146,0.066752985,0.0010950789,0.060972076,0.0022240297,0.0007291894,0.0003007758,0.000026297348,0.075918086],"genre_scores_gemma":[0.978077,0.019388197,0.00017683802,0.0017128468,0.00017768297,0.000030198184,0.000035058478,0.000009153679,0.0003930269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808496,0.000011151199,0.00090953516,0.00056762557,0.00015606482,0.00027067264],"domain_scores_gemma":[0.999187,0.00005595821,0.00041896742,0.00016500516,0.00006622685,0.000106832216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006555943,0.00016224511,0.00039202056,0.0004911649,0.000079062964,0.00010111371,0.0006069227,0.000028410721,0.00028004975],"category_scores_gemma":[0.00009706646,0.00016910938,0.000100244884,0.0003869519,0.0001505605,0.0004874353,0.00013017734,0.000110827765,0.00010491075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001271415,0.00005606908,0.4967138,0.00005344606,0.000037878923,0.000013463988,0.000012986073,0.0004630224,0.0000074178547,0.48517853,0.007526129,0.0099245515],"study_design_scores_gemma":[0.00055875373,0.000033352477,0.64407855,0.0005113381,0.000012600927,0.000063869375,0.000024115096,0.040763754,0.000016298894,0.045229398,0.26815122,0.00055675337],"about_ca_topic_score_codex":0.9142358,"about_ca_topic_score_gemma":0.8684579,"teacher_disagreement_score":0.43994913,"about_ca_system_score_codex":0.0024545463,"about_ca_system_score_gemma":0.00071698864,"threshold_uncertainty_score":0.68960804},"labels":[],"label_agreement":null},{"id":"W2113191669","doi":"10.1111/j.0022-4146.2004.00334.x","title":"Do Urban Agglomeration Effects and Household Amenities have a Skill Bias?*","year":2004,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Externality; Economies of agglomeration; Economics; Labour economics; Productivity; Wage; Urban economics; Returns to scale; Scale (ratio); Urban agglomeration; Demographic economics; Production (economics); Economic geography; Economic growth; Geography; Microeconomics","score_opus":0.04867202355458358,"score_gpt":0.2238964884739571,"score_spread":0.17522446491937352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113191669","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":[0.9900031,0.002195849,0.0022774031,0.003819145,0.00021495341,0.000059811337,0.0000071798445,0.0000047975827,0.0014177248],"genre_scores_gemma":[0.9967119,0.0010747506,0.0012775698,0.0005871291,0.00021015677,0.0000018469943,6.3052676e-7,0.0000073063616,0.00012870858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888945,0.000008156207,0.00053220434,0.00023657292,0.0001318784,0.00020172235],"domain_scores_gemma":[0.99882436,0.000057824276,0.00071916933,0.00012668445,0.000102731916,0.00016921338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008970775,0.00011092391,0.00032877244,0.0005079361,0.00021450549,0.00024044311,0.0002721059,0.000043242388,0.000011247809],"category_scores_gemma":[0.00014307235,0.000100159436,0.00014450219,0.00028916477,0.00040977632,0.00074383453,0.00004307947,0.00012849273,0.000012422706],"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":[0.000045200617,0.00015744031,0.0588231,0.000030176958,0.000096793054,0.000043767694,0.0016224654,0.0058930297,0.00057131087,0.9295397,0.001086865,0.002090185],"study_design_scores_gemma":[0.0032161204,0.001151757,0.2839408,0.00028944795,0.00005664095,0.00070072635,0.0006678712,0.0035108745,0.0013077212,0.65643656,0.047777988,0.0009434871],"about_ca_topic_score_codex":0.00021658762,"about_ca_topic_score_gemma":0.000033180775,"teacher_disagreement_score":0.2731031,"about_ca_system_score_codex":0.00019345131,"about_ca_system_score_gemma":0.00011287018,"threshold_uncertainty_score":0.40843832},"labels":[],"label_agreement":null},{"id":"W2114358552","doi":"10.1093/jeg/lbp016","title":"International trade and wage inequality in Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"World Bank Group","keywords":"Wage inequality; Library science; Wage; Inequality; Art history; History; Political science; Media studies; Geography; Sociology; Computer science; Law","score_opus":0.01600788371195412,"score_gpt":0.20115007688979897,"score_spread":0.18514219317784486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114358552","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":[0.9822516,0.0008813678,0.00006491713,0.010439517,0.0004398161,0.000037007878,0.000049025264,0.0000015649665,0.005835184],"genre_scores_gemma":[0.99780697,0.0011733039,0.00021575228,0.0006538542,0.00013375017,5.9634027e-7,0.0000032401729,0.0000048482225,0.0000076783745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985956,0.000010057801,0.0010435107,0.00017204549,0.000024580648,0.00015420646],"domain_scores_gemma":[0.99903023,0.000036138925,0.00071631756,0.00010824862,0.000006900835,0.000102169906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048340045,0.000105053376,0.0004524449,0.0004694828,0.000024775727,0.00004959172,0.00022634036,0.00003929585,0.000154128],"category_scores_gemma":[0.000017399381,0.00011593717,0.00017659228,0.00007542093,0.000022336108,0.00025332006,0.0000162655,0.00014741717,0.000003998179],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004538309,0.000048982154,0.93484515,0.0000028133197,0.00014258642,0.000018974695,0.00006798241,0.0018360432,0.0000050539193,0.057010002,0.00077247084,0.0052045793],"study_design_scores_gemma":[0.00065236696,0.000056770466,0.9394851,0.000008179412,0.0000056529184,0.000020085516,0.000067582,0.0032069208,0.0000058384217,0.031736203,0.024597446,0.00015789321],"about_ca_topic_score_codex":0.27378523,"about_ca_topic_score_gemma":0.2434703,"teacher_disagreement_score":0.030314952,"about_ca_system_score_codex":0.0002975203,"about_ca_system_score_gemma":0.000102626684,"threshold_uncertainty_score":0.7703344},"labels":[],"label_agreement":null},{"id":"W2114573691","doi":"","title":"The Geography of Entrepreneurship in the New York Metropolitan Area","year":2005,"lang":"en","type":"article","venue":"Federal Reserve Bank of New York Economic policy review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dynamism; Phenomenon; Economic geography; Metropolitan area; Urbanization; Regional science; Entrepreneurship; Population; Urban economics; Geography; Scale (ratio); Sociology; Political science; Economics; Economic growth; Cartography; Demography; Law; Epistemology","score_opus":0.0766646309954856,"score_gpt":0.28178162334828805,"score_spread":0.20511699235280245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114573691","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1272399,0.5917678,0.00009629936,0.18941967,0.00028900336,0.0013699367,0.00029763233,0.000026416425,0.08949338],"genre_scores_gemma":[0.8764766,0.116802655,0.0002551733,0.0033254225,0.00080669863,0.0000405847,0.00003287587,0.000039456507,0.0022205743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99645984,0.000109954475,0.0022533252,0.0005296946,0.00007630987,0.00057089905],"domain_scores_gemma":[0.99674994,0.00041966658,0.001463213,0.0011348075,0.000024013741,0.00020835923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016714904,0.00032387595,0.0013013617,0.00039979158,0.00015835695,0.00013149272,0.0015433081,0.00011049587,0.00059025874],"category_scores_gemma":[0.0003403298,0.0002463436,0.0010189539,0.0005432327,0.00016769732,0.00019619893,0.00012536396,0.00024416624,0.00021645476],"study_design_candidate":"not_applicable","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":[0.00006076484,0.0001026492,0.074760154,0.00024835428,0.00037917728,9.2459254e-7,0.00019243704,0.00055427896,0.0000014700778,0.7754212,0.13101913,0.017259428],"study_design_scores_gemma":[0.0008212574,0.00012783153,0.02931097,0.00042368486,0.000049339626,0.0000065330178,0.00007660172,0.000800112,0.000026974387,0.13093728,0.8369913,0.00042810247],"about_ca_topic_score_codex":0.07218274,"about_ca_topic_score_gemma":0.01129173,"teacher_disagreement_score":0.74923664,"about_ca_system_score_codex":0.00038526114,"about_ca_system_score_gemma":0.00030136947,"threshold_uncertainty_score":0.99999887},"labels":[],"label_agreement":null},{"id":"W2115306820","doi":"","title":"The architecture of firms’ innovative behaviors","year":2013,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portuguese; Spatial dispersion; Product (mathematics); Process (computing); Architecture; Knowledge management; Regional science; Business; Industrial organization; Marketing; Economic geography; Economics; Computer science; Geography","score_opus":0.01858417702822025,"score_gpt":0.20962386726506418,"score_spread":0.19103969023684395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115306820","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":[0.99050903,0.0014101847,0.001998789,0.0012606999,0.00012472554,0.00017648067,0.000566169,0.000016327644,0.003937589],"genre_scores_gemma":[0.9974847,0.00090701104,0.00061803695,0.0001835264,0.000091308975,0.000018822837,0.00044607604,0.000017118135,0.00023339545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870074,0.000026639136,0.00056290266,0.0004115713,0.000036971956,0.00026117207],"domain_scores_gemma":[0.9985243,0.00020871406,0.0003993734,0.0007639662,0.00003213491,0.000071473856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043662987,0.00015624485,0.000335878,0.00009904285,0.00027293502,0.00013653215,0.000984224,0.000046199177,0.00004432146],"category_scores_gemma":[0.0000133838175,0.000118841956,0.000054617147,0.000290304,0.00015772131,0.00022816099,0.00048836315,0.00016857081,0.000046444307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008073906,0.00018047348,0.691105,0.00021566528,0.0008364037,0.0000041237004,0.007301421,0.004375557,0.0002306972,0.1906767,0.0029922156,0.10200101],"study_design_scores_gemma":[0.0004272147,0.00009363658,0.5675294,0.00009558307,0.000035351462,0.000007937914,0.0009913197,0.29528275,0.000020203897,0.088742614,0.04625173,0.0005222915],"about_ca_topic_score_codex":0.0071597877,"about_ca_topic_score_gemma":0.0024391508,"teacher_disagreement_score":0.29090717,"about_ca_system_score_codex":0.000010900533,"about_ca_system_score_gemma":0.000009980777,"threshold_uncertainty_score":0.99945164},"labels":[],"label_agreement":null},{"id":"W2116299040","doi":"10.1111/j.1540-6520.2008.00257.x","title":"Entrepreneurial Policy: The Case of Regional Specialization vs. Spontaneous Industrial Diversity","year":2008,"lang":"en","type":"article","venue":"Entrepreneurship Theory and Practice","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada)","funders":"Government of Canada","keywords":"Prosperity; Diversity (politics); Entrepreneurship; Context (archaeology); Exploit; Externality; Industrial policy; Economic geography; Economics; Regional policy; Economic system; Business; Economic growth; Political science; Market economy; Microeconomics; Geography","score_opus":0.07364351371704257,"score_gpt":0.24769339588520028,"score_spread":0.1740498821681577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116299040","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":[0.9787912,0.0005314938,0.00056956906,0.00958249,0.00034849488,0.00018325367,0.000058429116,0.000017822867,0.009917299],"genre_scores_gemma":[0.99617726,0.0014208998,0.000035191333,0.0008184461,0.0007411281,0.000003651783,0.000014087188,0.000011015205,0.0007783333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846023,0.000456343,0.00046967858,0.0003817375,0.00005008363,0.00018194066],"domain_scores_gemma":[0.99658275,0.0023000052,0.00062988425,0.00034290281,0.000052820265,0.000091625305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017705223,0.00014677191,0.00031891197,0.00016119782,0.00060313364,0.000041606792,0.00021146794,0.00011132198,0.00039227368],"category_scores_gemma":[0.0024519807,0.00013615395,0.00014851286,0.00024063274,0.00030530355,0.00034547175,0.00021162537,0.00018002655,0.00004275136],"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":[0.0019781925,0.00013042787,0.017560057,0.0000056919334,0.0001785578,0.0010961568,0.0032506979,0.00032507378,0.000004879933,0.9736923,0.0007627343,0.0010152215],"study_design_scores_gemma":[0.003440529,0.00042459162,0.009921495,0.000024462977,0.000316641,0.04077896,0.0021082999,0.00072934385,0.00017658636,0.7987787,0.14240889,0.00089150615],"about_ca_topic_score_codex":0.0036964987,"about_ca_topic_score_gemma":0.00011679715,"teacher_disagreement_score":0.17491363,"about_ca_system_score_codex":0.00004446673,"about_ca_system_score_gemma":0.000048619844,"threshold_uncertainty_score":0.5588025},"labels":[],"label_agreement":null},{"id":"W2116358845","doi":"","title":"Cluster Complexes: A Framework for Understanding the Internationalisation of Innovation Systems","year":2006,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","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":"Simon Fraser University","funders":"","keywords":"Interdependence; Internationalization; Economic geography; Government (linguistics); Regional science; Conceptual framework; Industrial organization; Politics; Work (physics); Globalization; Business; Economic system; Political science; Economics; Sociology; International trade; Engineering","score_opus":0.06427440819825296,"score_gpt":0.22085659673569968,"score_spread":0.1565821885374467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116358845","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17512463,0.00032776452,0.8073974,0.0030854018,0.00016618034,0.0004637759,0.00096584874,0.000017445194,0.012451502],"genre_scores_gemma":[0.9930067,0.00010054195,0.0055962903,0.0000708367,0.0000733443,0.0000021034052,0.00026809864,0.00001547636,0.00086657604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987816,0.00003795091,0.0006205722,0.00029287333,0.00009060636,0.00017634736],"domain_scores_gemma":[0.99806046,0.00048714588,0.0009349417,0.0003215083,0.00016635457,0.000029565996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006276296,0.00013826544,0.00039799517,0.00040750936,0.00028558986,0.000030472464,0.00049729977,0.000084641666,0.000084708445],"category_scores_gemma":[0.00012955237,0.00015232428,0.00023600656,0.00034463775,0.00032174352,0.00015915894,0.00012591851,0.00014547864,0.0000074960394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011516653,0.00006954472,0.005100322,0.00005527238,0.00016362882,5.6350416e-7,0.0017378208,0.0033927627,0.000052058553,0.98849905,0.00072920445,0.00008462177],"study_design_scores_gemma":[0.00096420717,0.0001080133,0.011144253,0.00011410667,0.00004578557,0.000003520996,0.00726475,0.23182866,0.00001087019,0.7305477,0.017708542,0.00025957485],"about_ca_topic_score_codex":0.007750965,"about_ca_topic_score_gemma":0.001464653,"teacher_disagreement_score":0.8178821,"about_ca_system_score_codex":0.00023361693,"about_ca_system_score_gemma":0.000045383946,"threshold_uncertainty_score":0.9988565},"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":"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":[0.8731227,0.00034599786,0.00004412506,0.009494983,0.0005505751,0.00036171646,0.00017460884,0.00004246653,0.115862824],"genre_scores_gemma":[0.9977768,0.000058093898,0.00008673243,0.000970572,0.00036263664,0.000010680609,0.000045683828,0.000018421244,0.0006703806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841815,0.00004734899,0.00067364675,0.00055926386,0.00008672019,0.0002148696],"domain_scores_gemma":[0.9986843,0.00006114394,0.0006402419,0.00046159266,0.000061129715,0.00009160641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268874,0.00021069947,0.0004435071,0.00019555885,0.00020825856,0.00012868155,0.0002658129,0.00018249938,0.00048865814],"category_scores_gemma":[0.00015383115,0.00019780795,0.00030221842,0.00024041918,0.00007860181,0.0003061032,0.00002208911,0.00022618064,0.00007972272],"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":[0.0002620128,0.0004937588,0.018202964,0.0000037577572,0.0002958249,0.000003196438,0.0042799804,0.001898014,0.0041398634,0.95974565,0.0051658195,0.0055091395],"study_design_scores_gemma":[0.00768174,0.0030131047,0.26343325,0.0002721076,0.00023008915,0.000010679717,0.009349162,0.01688163,0.02218726,0.60354877,0.07059514,0.0027970942],"about_ca_topic_score_codex":0.0013099167,"about_ca_topic_score_gemma":0.00046514173,"teacher_disagreement_score":0.3561969,"about_ca_system_score_codex":0.00027217498,"about_ca_system_score_gemma":0.00005069733,"threshold_uncertainty_score":0.8066374},"labels":[],"label_agreement":null},{"id":"W2117409225","doi":"","title":"REGIONAL DISPARITIES IN CANADA: INTERPROVINCIAL OR URBAN/RURAL?","year":2011,"lang":"en","type":"article","venue":"Region et Developpement","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Census; Rurality; Lagging; Geography; Rural area; Urbanity; Economic growth; Demographic economics; Regional science; Economic geography; Socioeconomics; Political science; Economics; Demography; Economy; Population; Sociology","score_opus":0.07962281304341491,"score_gpt":0.21233185850887204,"score_spread":0.13270904546545714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117409225","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":[0.92345595,0.001193656,0.008285866,0.031464104,0.0010908504,0.000591816,0.00009100041,0.000051070907,0.033775657],"genre_scores_gemma":[0.9939512,0.00086222397,0.0006110906,0.0026926845,0.000059298447,0.000056137396,0.000028570403,0.000020593523,0.0017182187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984268,0.00001932918,0.00079280994,0.00035773325,0.000061624945,0.00034171809],"domain_scores_gemma":[0.9992878,0.00003338026,0.000305966,0.0002334038,0.000032157954,0.000107316315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026593142,0.00019141556,0.0004362789,0.00024485038,0.00006059934,0.00003090695,0.0002847587,0.00006056156,0.00046541353],"category_scores_gemma":[0.000034095912,0.00018695138,0.00009674472,0.00021924954,0.000044121232,0.00018837687,0.00008966616,0.00013247028,0.00007952532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013440225,0.00008419778,0.49986863,0.000019684467,0.00009545203,0.000064364525,0.0007585444,0.00004256291,4.5434686e-7,0.47959396,0.018150777,0.0011869606],"study_design_scores_gemma":[0.0011066851,0.000098368444,0.81006235,0.000086775144,0.00001069328,0.00002795884,0.0007107293,0.0029040624,0.000027466634,0.043734152,0.14035389,0.00087685196],"about_ca_topic_score_codex":0.9110459,"about_ca_topic_score_gemma":0.95759094,"teacher_disagreement_score":0.4358598,"about_ca_system_score_codex":0.0011652753,"about_ca_system_score_gemma":0.0007323297,"threshold_uncertainty_score":0.7623656},"labels":[],"label_agreement":null},{"id":"W2118228464","doi":"10.1177/0891242410394358","title":"The Great Divide: Economic Development Theory Versus Practice-A Survey of the Current Landscape","year":2011,"lang":"en","type":"article","venue":"Economic Development Quarterly","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Vitality; Ambiguity; Development theory; Field (mathematics); Economic growth; Political science; Local economic development; Regional science; Sociology; Economics","score_opus":0.057770831267011234,"score_gpt":0.23755479469180749,"score_spread":0.17978396342479624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118228464","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":[0.93461406,0.0036535917,0.0015734565,0.00093626283,0.007820288,0.0007950981,0.00020238858,0.000056142133,0.050348703],"genre_scores_gemma":[0.99757665,0.0003362602,0.000824658,0.000076183715,0.0001158823,0.00010171244,0.00004715285,0.00004672124,0.00087479915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9966655,0.00014036591,0.0019206144,0.0006818781,0.00006170276,0.0005299435],"domain_scores_gemma":[0.9968358,0.00064059405,0.0015144971,0.00080597785,0.000059833674,0.00014329306],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032760722,0.00037526933,0.00065103354,0.00018260823,0.00055858865,0.00016318845,0.0011565894,0.00009984637,0.0007175275],"category_scores_gemma":[0.00010552102,0.00029466732,0.0002567932,0.00011519629,0.00019421068,0.00040897224,0.0001667156,0.00024893915,0.0022893187],"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":[0.001079986,0.0003028662,0.2193281,0.000039098817,0.0025562271,0.0000023182397,0.009840812,0.00018887522,7.208763e-7,0.4305852,0.004487219,0.33158857],"study_design_scores_gemma":[0.001587052,0.00014660995,0.62732625,0.000026661595,0.0000423473,0.0000039970664,0.0003905129,0.0006737578,0.00010030398,0.019252347,0.34961057,0.00083961873],"about_ca_topic_score_codex":0.0011348166,"about_ca_topic_score_gemma":0.005479574,"teacher_disagreement_score":0.41133288,"about_ca_system_score_codex":0.0005789519,"about_ca_system_score_gemma":0.00057020545,"threshold_uncertainty_score":0.9999505},"labels":[],"label_agreement":null},{"id":"W2118258686","doi":"10.1111/caje.12017","title":"Quality of life, firm productivity, and the value of amenities across Canadian cities","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Metropolitan area; Census; Productivity; Wage; Geography; Land Values; Value (mathematics); Agricultural economics; Demographic economics; Socioeconomics; Economics; Economic growth; Labour economics; Land use; Demography; Sociology; Population","score_opus":0.13306556472251457,"score_gpt":0.19404541723068244,"score_spread":0.06097985250816787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118258686","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":[0.98448,0.0018584952,0.00003071324,0.008765632,0.0005830269,0.0003418745,0.00094255205,0.000002031393,0.0029956272],"genre_scores_gemma":[0.9981439,0.00042234038,0.00015455206,0.0005143825,0.00027173173,0.000024155726,0.000010886341,0.000037228947,0.0004208342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965782,0.000079210164,0.0022634196,0.00037745637,0.0000038524695,0.0006978696],"domain_scores_gemma":[0.99518764,0.00032200952,0.0022900351,0.00052048895,0.0002945248,0.0013853178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021659106,0.00028935503,0.0016097324,0.0007707469,0.0002402513,0.0001757144,0.00069108536,0.00018191033,0.00038218033],"category_scores_gemma":[0.00064147543,0.00029882154,0.00045635362,0.00016526789,0.001118345,0.00060116925,0.000045065688,0.0002966031,0.000017004124],"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":[0.000046306595,0.000008894779,0.10484712,0.00006753916,0.00039701437,0.0000024971027,0.0023332646,0.002690601,0.0000023011416,0.8888314,0.00024026164,0.00053281634],"study_design_scores_gemma":[0.0017296488,0.0001927163,0.086192906,0.000056702662,0.000036619425,0.00006252518,0.0026445822,0.004402905,0.00003801559,0.89504904,0.009008692,0.0005856379],"about_ca_topic_score_codex":0.9791848,"about_ca_topic_score_gemma":0.9974916,"teacher_disagreement_score":0.018654216,"about_ca_system_score_codex":0.0007890624,"about_ca_system_score_gemma":0.0016580354,"threshold_uncertainty_score":0.9999464},"labels":[],"label_agreement":null},{"id":"W2119059496","doi":"10.7202/012837ar","title":"Pourquoi, pendant que la locomotive de la productivité se mettait en branle aux États-Unis, l’Europe est-elle restée en gare","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02564220404727256,"score_gpt":0.24216478699094682,"score_spread":0.21652258294367427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119059496","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":[0.8951109,0.0074409666,0.0036298456,0.047165103,0.00074670074,0.000813962,0.0012384208,0.00011063915,0.04374347],"genre_scores_gemma":[0.92241824,0.007475498,0.0034445254,0.0014841129,0.0018410182,0.00014899448,0.00024681952,0.00022812677,0.06271266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99418014,0.0010859334,0.0018479751,0.0016956326,0.00006536286,0.0011249823],"domain_scores_gemma":[0.9946163,0.0025983765,0.0011605389,0.001103137,0.00016715513,0.00035447034],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00294748,0.0008481795,0.0016858053,0.0005991898,0.0005245087,0.0006847978,0.00097602035,0.0007663645,0.0012085842],"category_scores_gemma":[0.0009580935,0.0010663872,0.0007864956,0.00051461475,0.00079053064,0.00086376583,0.00040292917,0.0010679686,0.0010029647],"study_design_candidate":"theoretical_or_conceptual","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":[0.00012328124,0.0008940191,0.022330783,0.00019788988,0.0006940366,0.00019975813,0.0027464067,0.013507004,0.00014365393,0.9460437,0.009005633,0.0041137827],"study_design_scores_gemma":[0.0011895805,0.00017703565,0.022650512,0.00012482841,0.00014581585,0.00016213344,0.0003318661,0.014940552,0.0010794384,0.19672634,0.7611512,0.0013206968],"about_ca_topic_score_codex":0.04566764,"about_ca_topic_score_gemma":0.0051183165,"teacher_disagreement_score":0.7521456,"about_ca_system_score_codex":0.0009723252,"about_ca_system_score_gemma":0.00072764937,"threshold_uncertainty_score":0.9997749},"labels":[],"label_agreement":null},{"id":"W2119685472","doi":"10.1111/j.1468-2354.2010.00609.x","title":"A QUANTITATIVE ANALYSIS OF SUBURBANIZATION AND THE DIFFUSION OF THE AUTOMOBILE*","year":2010,"lang":"en","type":"article","venue":"International Economic Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Suburbanization; Falling (accident); Diffusion; Population; Economics; Public transport; Economic geography; Order (exchange); Geography; Transport engineering; Engineering; Demography","score_opus":0.019025794003506305,"score_gpt":0.24987735435987307,"score_spread":0.23085156035636678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119685472","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":[0.9610365,0.011731593,0.0007447324,0.013635549,0.00078071887,0.00042262016,0.00031224225,0.0000057258085,0.011330316],"genre_scores_gemma":[0.97967553,0.019526716,0.00012938463,0.0003657528,0.000028273855,0.000019870131,0.00002271571,0.000006636125,0.00022514032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875104,0.000024999264,0.00091714034,0.0002099755,0.000032484597,0.00006437069],"domain_scores_gemma":[0.99829084,0.00018456127,0.0011277488,0.00031257592,0.00006269195,0.000021597993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008240724,0.000089718276,0.0006090604,0.00017387213,0.00004390642,0.000021613649,0.00041521023,0.000037836544,0.000766272],"category_scores_gemma":[0.00021626623,0.000059445425,0.00043151458,0.00023112512,0.00024839301,0.000100770565,0.00010257456,0.000092338625,0.000022293792],"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":[0.000012797578,0.000018911287,0.038429476,0.000037302267,0.0007321661,3.751953e-8,0.00008308521,0.00037403006,0.000026573369,0.9596664,0.00019849603,0.0004207487],"study_design_scores_gemma":[0.0015741445,0.000047817586,0.24168664,0.00027920742,0.001191136,0.000005890198,0.00005765093,0.5842392,0.00008427321,0.08515067,0.08528808,0.00039533403],"about_ca_topic_score_codex":0.0012124645,"about_ca_topic_score_gemma":0.00073840306,"teacher_disagreement_score":0.8745157,"about_ca_system_score_codex":0.00003107504,"about_ca_system_score_gemma":0.000023293522,"threshold_uncertainty_score":0.8390141},"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":"W2121884952","doi":"10.1111/ecoj.12099","title":"Survival of the Fittest in Cities: Urbanisation and Inequality","year":2013,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Economic and Social Research Council","keywords":"Urbanization; Inequality; Economies of agglomeration; Productivity; Survival of the fittest; Economics; Earnings; Incentive; Economic geography; Selection (genetic algorithm); Labour economics; Economic growth; Microeconomics; Finance","score_opus":0.034712028696492585,"score_gpt":0.20637249727747783,"score_spread":0.17166046858098524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121884952","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":[0.98812425,0.00034755765,0.000114188035,0.0063114497,0.0003363314,0.000099285004,0.00001991897,0.0000019078564,0.004645117],"genre_scores_gemma":[0.998965,0.00033284622,0.000027591253,0.00016999425,0.00014481627,0.000006042257,9.0266235e-7,0.0000076633805,0.0003451126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989261,0.000040823987,0.0007368989,0.00013379111,0.000017759141,0.00014465138],"domain_scores_gemma":[0.99903286,0.0001186842,0.00058195327,0.00021153691,0.00001493487,0.00004006221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010546885,0.000086134525,0.00029303954,0.00009113954,0.000114092174,0.00010034511,0.00028864053,0.00004211887,0.0006345378],"category_scores_gemma":[0.00004748498,0.000060322283,0.000120600685,0.000054999127,0.000116747025,0.00022167538,0.000068855465,0.00017556077,0.00010155753],"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":[0.000007100091,0.000017456186,0.70030403,0.0000064672427,0.00007182392,1.8480107e-7,0.00084704364,0.002344462,0.00001703902,0.29506883,0.00065458316,0.0006609499],"study_design_scores_gemma":[0.00038649433,0.000019924755,0.6480548,0.000009272518,0.000005570141,0.000011519849,0.0004469644,0.018115347,0.000016708045,0.3304629,0.0023507483,0.0001197892],"about_ca_topic_score_codex":0.0035726926,"about_ca_topic_score_gemma":0.0006831406,"teacher_disagreement_score":0.05224928,"about_ca_system_score_codex":0.00016017191,"about_ca_system_score_gemma":0.000038478393,"threshold_uncertainty_score":0.6947744},"labels":[],"label_agreement":null},{"id":"W2122508295","doi":"10.1093/jeg/lbr024","title":"Network dynamics and cluster evolution: changing trajectories of the aluminium extrusion industry in Dali, China","year":2011,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Extrusion; Cluster (spacecraft); China; Aluminium; Economic geography; Dynamics (music); Materials science; Metallurgy; Computer science; Economics; Geography; Sociology","score_opus":0.016596611793991273,"score_gpt":0.18551474301249785,"score_spread":0.16891813121850657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122508295","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":[0.99262136,0.0013840324,0.000531843,0.0007014895,0.0007814807,0.00008417841,0.000025737261,0.0000020919608,0.0038677738],"genre_scores_gemma":[0.99898076,0.00028867918,0.00033872772,0.00009190319,0.00022089347,0.0000023968842,0.0000013059127,0.000012367902,0.000062955776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984398,0.000025949294,0.0010873269,0.00018671658,0.000025794927,0.0002344072],"domain_scores_gemma":[0.99834424,0.00003392857,0.0013244143,0.00020547173,0.000024191027,0.000067753215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009397103,0.00013887441,0.0005299959,0.0006075416,0.00008615959,0.000027301088,0.00029211596,0.00022825552,0.00012490206],"category_scores_gemma":[0.000017238266,0.00012435242,0.00032469255,0.00028296234,0.00013470757,0.00027248485,0.00010390546,0.00042099052,0.0000028972256],"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":[0.000036821762,0.00003276986,0.88620275,0.000009146634,0.00009200284,9.422537e-7,0.0003479097,0.0022821338,4.4803625e-7,0.11075062,0.00006857284,0.00017586412],"study_design_scores_gemma":[0.0004896386,0.0000733207,0.8989408,0.000043439468,0.000021685071,0.000020533542,0.00025009995,0.011598366,0.0000040488617,0.08814993,0.00026107524,0.00014705952],"about_ca_topic_score_codex":0.00083524815,"about_ca_topic_score_gemma":0.00060591556,"teacher_disagreement_score":0.022600692,"about_ca_system_score_codex":0.00011896775,"about_ca_system_score_gemma":0.000034537265,"threshold_uncertainty_score":0.50709444},"labels":[],"label_agreement":null},{"id":"W2124440620","doi":"10.7202/022924ar","title":"L’évolution spatiale de l’emploi dans la région métropolitaine de Montréal, 1981-1996","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Montreal Police Service; Université de Montréal","funders":"","keywords":"Centralisation; Political science; Humanities; Geography; Philosophy","score_opus":0.006795810837804929,"score_gpt":0.18028815275981525,"score_spread":0.17349234192201032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124440620","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":[0.87201756,0.027955359,0.04491603,0.04402368,0.00043398095,0.00023375297,0.00021025293,0.00007740065,0.010132005],"genre_scores_gemma":[0.9506938,0.02528968,0.0033566358,0.0019148078,0.0011980099,0.00007120462,0.00007940174,0.00010583249,0.017290646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967028,0.00017341429,0.0010905548,0.0007770922,0.00008071717,0.0011754235],"domain_scores_gemma":[0.9978058,0.0002931874,0.00064746203,0.0006130626,0.00008255068,0.000557948],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0013391111,0.00047837684,0.00082651566,0.0009390665,0.0005608725,0.00020036922,0.0005206974,0.0007561961,0.00028795731],"category_scores_gemma":[0.00031078167,0.00065559486,0.0009915673,0.00085398403,0.003443535,0.00042226445,0.000072824696,0.00067465217,0.00032997856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008375459,0.0004592907,0.38190275,0.0000705459,0.0006181957,0.00006189164,0.0022928128,0.016878475,0.00006399742,0.56464094,0.015725747,0.017201599],"study_design_scores_gemma":[0.0012584609,0.00019062425,0.18602265,0.000065394546,0.00026080088,0.0001778884,0.0005221764,0.10840457,0.00006988709,0.0504649,0.65157,0.0009926235],"about_ca_topic_score_codex":0.5359217,"about_ca_topic_score_gemma":0.49932468,"teacher_disagreement_score":0.6358443,"about_ca_system_score_codex":0.005200528,"about_ca_system_score_gemma":0.00056853273,"threshold_uncertainty_score":0.9995895},"labels":[],"label_agreement":null},{"id":"W2124773785","doi":"10.1080/00420980220112739","title":"Agglomeration and Dispersion of High-order Service Employment in the Montreal Metropolitan Region, 1981-96","year":2002,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"","keywords":"Metropolitan area; Polycentricity; Real estate; Economic geography; Economies of agglomeration; Decentralization; Order (exchange); Service (business); Census; Suburbanization; Business; Geography; Economy; Economics; Economic growth; Finance; Market economy; Population; Sociology","score_opus":0.04737527608540349,"score_gpt":0.22226315707072633,"score_spread":0.17488788098532285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124773785","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":[0.94355106,0.033198856,0.00011815399,0.01865321,0.00010919832,0.00016016347,0.000026559122,0.0000071684276,0.004175636],"genre_scores_gemma":[0.990851,0.007856156,0.00007654908,0.00050717994,0.00005906697,0.000017315686,0.00000587516,0.000006884743,0.0006200154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991681,0.000018718985,0.00041723406,0.0002319054,0.00003334126,0.00013068915],"domain_scores_gemma":[0.99947256,0.000065081644,0.00020466813,0.00018568654,0.000050246108,0.000021787695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018493217,0.00010651799,0.00036120915,0.00015868236,0.00009844987,0.000023774282,0.000106724496,0.00003339923,0.000024606381],"category_scores_gemma":[0.000036978778,0.00008464867,0.000056257268,0.00028751092,0.00006595926,0.000102397076,0.000046996636,0.000053205506,0.000022460175],"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":[0.000022496459,0.0002860367,0.28707597,0.000068652655,0.0005701554,0.0000068168047,0.011327472,0.00035309631,0.0000054444786,0.6767353,0.02072576,0.002822845],"study_design_scores_gemma":[0.0033293425,0.0005919337,0.6803068,0.00010788698,0.00018205882,0.000012084882,0.017498214,0.040396333,0.000047163252,0.18889524,0.06751047,0.001122482],"about_ca_topic_score_codex":0.010159409,"about_ca_topic_score_gemma":0.0060580173,"teacher_disagreement_score":0.48784003,"about_ca_system_score_codex":0.000090925336,"about_ca_system_score_gemma":0.0000019119418,"threshold_uncertainty_score":0.996432},"labels":[],"label_agreement":null},{"id":"W2125285874","doi":"10.2747/0272-3638.25.3.241","title":"Exploring Regional Firm-Size Structure in Canadian Housebuilding: Ontario, 1991 and 1996","year":2004,"lang":"en","type":"article","venue":"Urban Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Census; Economic geography; Diversity (politics); Regional science; Geography; Economies of agglomeration; Population; Business; Economic growth; Economics; Political science; Sociology; Demography","score_opus":0.03750608457101585,"score_gpt":0.1781608275113752,"score_spread":0.14065474294035937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125285874","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":[0.9942116,0.0018999882,0.000011933741,0.0016265616,0.00016680881,0.00010626824,0.00008598211,0.00001597465,0.0018748951],"genre_scores_gemma":[0.9981185,0.0004967794,0.00056909816,0.000555549,0.00009513384,0.000019449486,0.00003753075,0.000021739523,0.000086175474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985453,0.0000048562065,0.00046382827,0.000495692,0.00003463687,0.0004556972],"domain_scores_gemma":[0.99927145,0.000026075753,0.00015116297,0.00024104679,0.000013893392,0.00029635403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016709286,0.00019132697,0.00037589727,0.00087320607,0.00014129018,0.00009568989,0.00018900329,0.000096267206,0.00018411489],"category_scores_gemma":[0.000019278608,0.00022945118,0.00017648638,0.0004021356,0.000077722136,0.0003037418,0.00003220076,0.00021856991,0.000020931771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006508714,0.00001641028,0.90892744,0.0000052752166,0.000060522845,0.000011363362,0.0005684934,0.00081758545,0.0000021765015,0.089271955,0.00018149227,0.00013075977],"study_design_scores_gemma":[0.00048054545,0.000029406874,0.8342707,0.000014773474,0.0000060181146,0.000004294581,0.00003264375,0.00009538149,0.0000028308814,0.049385525,0.11539757,0.00028031063],"about_ca_topic_score_codex":0.9775534,"about_ca_topic_score_gemma":0.9770842,"teacher_disagreement_score":0.11521608,"about_ca_system_score_codex":0.00034733705,"about_ca_system_score_gemma":0.000074826654,"threshold_uncertainty_score":0.9356747},"labels":[],"label_agreement":null},{"id":"W2125481795","doi":"10.1016/j.jdeveco.2006.08.003","title":"A numerical simulation analysis of (Hukou) labour mobility restrictions in China","year":2006,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":196,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inequality; China; Wage; Homogeneous; Gini coefficient; Rural area; Economic geography; Economics; Economic inequality; Internal migration; Productivity; Geography; Demographic economics; Labour economics; Developing country; Economic growth; Political science; Mathematics","score_opus":0.017918591088384672,"score_gpt":0.2208298771114684,"score_spread":0.20291128602308373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125481795","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":[0.9866544,0.00022660257,0.010925584,0.00037835626,0.00014091501,0.00006801432,0.000031179807,0.0000034145942,0.0015715184],"genre_scores_gemma":[0.99639845,0.00017788875,0.003151486,0.000034195065,0.000065134736,0.000003117647,0.000017652981,0.000010955534,0.00014112206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9971085,0.000018153209,0.0024164305,0.0002355185,0.000036427162,0.00018492535],"domain_scores_gemma":[0.9977202,0.00009696163,0.0018523377,0.00018534805,0.00007753454,0.00006762067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086856924,0.00014120578,0.00092680147,0.0015775043,0.000052118194,0.00004138454,0.00022429133,0.0000952749,0.00015598588],"category_scores_gemma":[0.000060839087,0.0001601346,0.0003953641,0.00087202585,0.000032274304,0.00028873642,0.00002961716,0.00014902183,0.00001428427],"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":[0.00002316464,0.00018638548,0.40022808,0.0000052242117,0.00038192488,0.0000012190517,0.000091104084,0.5709364,0.000001547431,0.02783111,0.0000140511975,0.00029981975],"study_design_scores_gemma":[0.00038512846,0.000028761944,0.8315819,0.0000055535897,0.000052188832,0.0000014100312,0.000019956744,0.14880636,0.000023111668,0.013974994,0.004971208,0.00014943459],"about_ca_topic_score_codex":0.001669746,"about_ca_topic_score_gemma":0.00090786867,"teacher_disagreement_score":0.4313538,"about_ca_system_score_codex":0.00045669166,"about_ca_system_score_gemma":0.00013018065,"threshold_uncertainty_score":0.65300995},"labels":[],"label_agreement":null},{"id":"W2126244115","doi":"10.1177/0160017607309447","title":"Trade and the Industrial Specialization of Canadian Manufacturing Regions, 1974 to 1999","year":2008,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Economics; Comparative advantage; Economic geography; International trade; Economic integration; Free trade; Manufacturing; Trade barrier; Regional trade; International economics; Business","score_opus":0.10172849039481612,"score_gpt":0.25418519525632083,"score_spread":0.1524567048615047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126244115","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09353063,0.03879873,0.0016794336,0.7981007,0.0014347102,0.0014633025,0.00018934115,0.000023454608,0.06477968],"genre_scores_gemma":[0.87516266,0.11846102,0.00022883863,0.005362518,0.00034249685,0.00002645406,0.000016539008,0.000008010803,0.00039148956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877524,0.000014990763,0.00056660816,0.00031507073,0.00014892367,0.00017913387],"domain_scores_gemma":[0.9992151,0.00006381052,0.00030379862,0.0001815684,0.000050020404,0.00018567947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009808894,0.000098066586,0.00032895087,0.0006671335,0.00023580121,0.00003958932,0.0005425242,0.000034233875,0.00014538024],"category_scores_gemma":[0.00029037034,0.0000793602,0.00013076498,0.0006721264,0.00052149623,0.0002204169,0.000059957893,0.00008208755,0.000048459224],"study_design_candidate":"theoretical_or_conceptual","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":[0.00001237396,0.000012159458,0.0021637764,0.000014230378,0.00003242895,0.0000024690953,0.00012590578,0.00008522155,0.0000025570378,0.9850948,0.009627653,0.00282643],"study_design_scores_gemma":[0.0003667258,0.000014507621,0.013669182,0.00021407272,0.000008893422,0.000053405594,0.000012835888,0.0005385902,0.000031254775,0.016607016,0.96833473,0.00014879744],"about_ca_topic_score_codex":0.045208063,"about_ca_topic_score_gemma":0.0050812033,"teacher_disagreement_score":0.9684878,"about_ca_system_score_codex":0.00018611016,"about_ca_system_score_gemma":0.00016978986,"threshold_uncertainty_score":0.96115},"labels":[],"label_agreement":null},{"id":"W2127724452","doi":"10.1111/cag.12068","title":"KIBS and innovation: The geographic dynamics of innovation in Quebec","year":2014,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Metropolitan area; Economic geography; Neighbourhood (mathematics); Context (archaeology); Business; Government (linguistics); Service (business); Spatial contextual awareness; Geographical distance; Census; Service innovation; Regional science; Marketing; Geography; Sociology; Population","score_opus":0.010619565778340036,"score_gpt":0.17422534556831354,"score_spread":0.1636057797899735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127724452","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":[0.98350036,0.0011936077,0.000108263,0.008877301,0.0002516468,0.00022166435,0.00020285981,0.000015132847,0.0056291716],"genre_scores_gemma":[0.9975993,0.0009433366,0.00008972706,0.00081640435,0.000059450056,0.000043689975,0.00015538197,0.00002507037,0.00026764855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99763525,0.000030421787,0.0012866029,0.0004605625,0.000051061914,0.000536099],"domain_scores_gemma":[0.99846786,0.00011241697,0.0005889729,0.00045842052,0.00021531258,0.00015703705],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00096773927,0.00025081154,0.0005322801,0.01229707,0.00028152438,0.00011740126,0.00038118777,0.00015721479,0.000050337225],"category_scores_gemma":[0.00024974544,0.00025238938,0.00012755985,0.015449957,0.0010243385,0.000253157,0.000040964624,0.0001996364,0.000003841084],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033080696,0.000007003846,0.39717075,0.000015115369,0.000054764063,0.0000011055671,0.00016942556,0.00004934049,7.8539233e-7,0.59903806,0.00017390789,0.003316408],"study_design_scores_gemma":[0.00045118498,0.00007756362,0.715271,0.00003367782,0.000018922161,0.0000065530794,0.0016811478,0.0037942226,0.0000025334573,0.2024832,0.075681426,0.0004985894],"about_ca_topic_score_codex":0.9519982,"about_ca_topic_score_gemma":0.9988322,"teacher_disagreement_score":0.3965549,"about_ca_system_score_codex":0.00009779343,"about_ca_system_score_gemma":0.00007731909,"threshold_uncertainty_score":0.99999285},"labels":[],"label_agreement":null},{"id":"W2127733843","doi":"10.1111/tesg.12120","title":"A Spatial Analysis of Precarious Forms of Employment in <scp>F</scp>rance","year":2014,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Precarious work; Unemployment; Demographic economics; Distribution (mathematics); Work (physics); Economic geography; Phenomenon; Interim; Spatial distribution; Geography; Labour economics; Economics; Economic growth","score_opus":0.013163939003050788,"score_gpt":0.21337631771413568,"score_spread":0.20021237871108488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127733843","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":[0.96321446,0.00081136136,0.003114426,0.00032473612,0.0001833292,0.0002929435,0.00028813002,0.000022887873,0.031747714],"genre_scores_gemma":[0.9979711,0.00038685897,0.00041044765,0.00012693692,0.00014420903,0.00006435665,0.00010345366,0.000038457954,0.00075418537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966739,0.000059331473,0.0019800735,0.0007038186,0.00007390774,0.0005090089],"domain_scores_gemma":[0.99709266,0.000562261,0.00152419,0.00060339336,0.0000760114,0.00014145806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014691736,0.00032127928,0.001933068,0.0011638451,0.00007790933,0.00005107315,0.00056768855,0.00031039512,0.00026685305],"category_scores_gemma":[0.0004150805,0.000380727,0.0010012729,0.00087483507,0.00018962534,0.00025261004,0.00014374098,0.00024067302,0.00010216922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034047447,0.0003960847,0.72654766,0.00006762288,0.0028207758,0.0000012797472,0.0021410678,0.010525929,0.000055639615,0.25243986,0.00021456544,0.0047554453],"study_design_scores_gemma":[0.003380307,0.00034085766,0.7780949,0.000041488238,0.00066010887,9.094389e-7,0.00058638613,0.09542835,0.00058421725,0.035633642,0.084641665,0.0006071588],"about_ca_topic_score_codex":0.0134067945,"about_ca_topic_score_gemma":0.015547516,"teacher_disagreement_score":0.21680623,"about_ca_system_score_codex":0.00012201204,"about_ca_system_score_gemma":0.000084780666,"threshold_uncertainty_score":0.99986446},"labels":[],"label_agreement":null},{"id":"W2129122815","doi":"10.1016/j.jue.2012.04.001","title":"Are compact cities environmentally friendly?","year":2012,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":230,"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":"Environmentally friendly; Relocation; Economic rent; Compact city; Compact space; Population; Natural resource economics; Economics; Business; Environmental economics; Urban planning; Microeconomics; Ecology; Civil engineering; Engineering; Computer science; Mathematics","score_opus":0.030154963166942297,"score_gpt":0.19395186194819036,"score_spread":0.16379689878124806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129122815","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":[0.9807144,0.003925077,0.00065423624,0.001509023,0.00093317055,0.000055996097,0.00010257769,0.0000059244067,0.01209962],"genre_scores_gemma":[0.9960361,0.0011330564,0.0003907642,0.00056307414,0.0009730983,0.0000010388288,0.000004872477,0.000030007579,0.00086799066],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982036,0.000011346922,0.0012464361,0.0001636856,0.000027402044,0.00034758143],"domain_scores_gemma":[0.9966888,0.000055569853,0.0027305393,0.00023620216,0.000019775722,0.0002691192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066430453,0.00018818038,0.0007672209,0.00032194884,0.000088948684,0.00008770957,0.00032821912,0.00009492435,0.0007460371],"category_scores_gemma":[0.000037755468,0.00020571676,0.00047423234,0.000055580713,0.00009113592,0.0008196067,0.000040839896,0.00020102406,0.00041730874],"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":[0.00003933503,0.00019452312,0.8670175,0.0000090490885,0.0004022832,0.0000037603631,0.00029887474,0.0015170479,0.000010276261,0.118173294,0.012110869,0.00022319822],"study_design_scores_gemma":[0.0010345451,0.00017106911,0.3774902,0.000019012865,0.00005278466,0.00010324817,0.0007079247,0.0013001869,0.000122746,0.0200728,0.59835804,0.0005674222],"about_ca_topic_score_codex":0.000057252393,"about_ca_topic_score_gemma":0.000016761882,"teacher_disagreement_score":0.5862472,"about_ca_system_score_codex":0.00034672307,"about_ca_system_score_gemma":0.000018488692,"threshold_uncertainty_score":0.8388886},"labels":[],"label_agreement":null},{"id":"W2131361655","doi":"","title":"Survival of the Fittest in Cities: Agglomeration, Selection and Polarisation","year":2008,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Economic and Social Research Council; Université du Québec à Montréal","keywords":"Economies of agglomeration; Productivity; Economics; Selection (genetic algorithm); Economic geography; Survival of the fittest; Inequality; Microeconomics; Macroeconomics","score_opus":0.06999486134406706,"score_gpt":0.32623400102059574,"score_spread":0.25623913967652867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131361655","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":[0.9854724,0.00068719906,0.000027994794,0.008205527,0.00032973484,0.000557047,0.0011038437,0.0000056151357,0.0036106666],"genre_scores_gemma":[0.98693264,0.011780469,0.0006354856,0.00020264859,0.00026313087,0.000019421714,0.000025495025,0.00002642674,0.00011429532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9936856,0.00012967418,0.0025663238,0.0015151184,0.00022682636,0.001876458],"domain_scores_gemma":[0.9951205,0.0007312149,0.0010003356,0.0007556736,0.00062005006,0.0017722009],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007256194,0.0004314013,0.001522425,0.0019030336,0.0005262535,0.00047151264,0.0012693827,0.0004088685,0.00008547662],"category_scores_gemma":[0.0031052583,0.00041254677,0.0002660376,0.0009984417,0.0073313196,0.0009355098,0.0016946068,0.0011354426,0.000009231589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003793962,0.00012983575,0.18988748,0.00008647969,0.000031897114,3.7014206e-7,0.00006353034,0.0010511271,0.000100928686,0.8084345,0.000012599334,0.00016331102],"study_design_scores_gemma":[0.0009283758,0.00029394563,0.4301796,0.00012426391,0.000022556575,0.000017084476,0.00042530746,0.10222413,0.0008085034,0.46348968,0.0009346604,0.0005518946],"about_ca_topic_score_codex":0.025735388,"about_ca_topic_score_gemma":0.0035629093,"teacher_disagreement_score":0.3449448,"about_ca_system_score_codex":0.0011391329,"about_ca_system_score_gemma":0.0031083818,"threshold_uncertainty_score":0.99983263},"labels":[],"label_agreement":null},{"id":"W2131814279","doi":"10.7202/601399ar","title":"Un modèle des flux interrégionaux de marchandises au Canada","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","score_opus":0.04433173415454179,"score_gpt":0.211045849718605,"score_spread":0.1667141155640632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131814279","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":[0.9079928,0.007505728,0.0070083877,0.04895391,0.0011505252,0.00025447304,0.00077124045,0.00003240054,0.026330544],"genre_scores_gemma":[0.9673955,0.0029647055,0.0019952164,0.0062521263,0.0008861094,0.000029643059,0.00012900753,0.000050105093,0.020297594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99674165,0.00008121925,0.0012837312,0.0008134191,0.000032933778,0.001047016],"domain_scores_gemma":[0.9980408,0.00023735836,0.00059382635,0.0005876117,0.00006711965,0.00047327063],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006636346,0.00047434596,0.0010144738,0.000264009,0.0003406503,0.0002061664,0.0006231444,0.0003247931,0.002508466],"category_scores_gemma":[0.00018854259,0.000631653,0.00047998893,0.0002350048,0.0002739304,0.00046308842,0.00011411487,0.00034705995,0.00026545077],"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":[0.00006834305,0.00023623761,0.022971138,0.000075027114,0.00044299423,0.0000399387,0.0011200629,0.0048139333,0.000017930186,0.91525203,0.0050917836,0.04987057],"study_design_scores_gemma":[0.0008162447,0.00023532509,0.06817878,0.00013066911,0.00006736237,0.000052481802,0.00026202245,0.031831536,0.0005280229,0.4816916,0.41513994,0.0010660221],"about_ca_topic_score_codex":0.8349563,"about_ca_topic_score_gemma":0.8144481,"teacher_disagreement_score":0.43356043,"about_ca_system_score_codex":0.003464647,"about_ca_system_score_gemma":0.0011798992,"threshold_uncertainty_score":0.99961346},"labels":[],"label_agreement":null},{"id":"W2132230552","doi":"10.1177/0160017604267637","title":"Is Distance Really Dead? Comparing Industrial Location Patterns over Time in Canada","year":2004,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Economic geography; Econometrics; Location model; Computer science; Operations research; Economics; Mathematics","score_opus":0.06685492548391524,"score_gpt":0.26172014163840573,"score_spread":0.19486521615449048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132230552","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":[0.75498635,0.026051972,0.007220209,0.166413,0.0019379414,0.0011518617,0.0004021377,0.0000426099,0.04179394],"genre_scores_gemma":[0.9866379,0.0094034625,0.000078594334,0.003500749,0.00011653029,0.000021611857,0.000033485703,0.000008251689,0.0001994441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998186,0.000008055753,0.00078115775,0.000512342,0.0002458423,0.0002666149],"domain_scores_gemma":[0.9990616,0.000038654376,0.00043608705,0.0002252609,0.00011647205,0.000121945974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065590744,0.00014122383,0.00039691816,0.00021054612,0.00008378406,0.000077411016,0.0007354863,0.000033243814,0.00046503622],"category_scores_gemma":[0.0001694348,0.00015024147,0.00010088239,0.00063951797,0.00009871717,0.00044570555,0.00008319902,0.0001417994,0.00019314703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017767807,0.00010266424,0.5110862,0.0000955137,0.00006711307,0.000017624776,0.00006529915,0.004974025,0.000008190662,0.4756199,0.003108899,0.004836766],"study_design_scores_gemma":[0.0017015124,0.0000464753,0.5580993,0.0054518306,0.000023027525,0.000042263087,0.00003077276,0.040601067,0.000026965545,0.06230576,0.3304714,0.0011995992],"about_ca_topic_score_codex":0.6732362,"about_ca_topic_score_gemma":0.49401593,"teacher_disagreement_score":0.41331413,"about_ca_system_score_codex":0.0027521974,"about_ca_system_score_gemma":0.0010759882,"threshold_uncertainty_score":0.7196901},"labels":[],"label_agreement":null},{"id":"W2132919624","doi":"10.3917/reru.074.0677","title":"La stabilité des modèles de localisation industrielle : une analyse pour soixante-et-onze secteurs d'activité économique, Canada 1971-2001","year":2007,"lang":"fr","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.11744829619997556,"score_gpt":0.3078759351580944,"score_spread":0.19042763895811887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132919624","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":[0.8399629,0.001763767,0.0281022,0.11119153,0.0030737142,0.0008959292,0.0045590186,0.000018880588,0.01043204],"genre_scores_gemma":[0.9664691,0.00036955444,0.002071197,0.0004472378,0.00044062556,0.00008389582,0.0007769107,0.000056807843,0.02928467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99461704,0.0002701356,0.0013683352,0.001353377,0.00068657525,0.0017045388],"domain_scores_gemma":[0.9944619,0.0019098478,0.00062763976,0.00058294844,0.0016155305,0.00080214615],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.013004419,0.0004368907,0.00072521815,0.0010814705,0.0016570833,0.00085565174,0.00088040327,0.0003440132,0.00036333594],"category_scores_gemma":[0.0029680764,0.0005556281,0.00027260598,0.002444776,0.0014138682,0.0010358759,0.0002024951,0.0008975792,0.0000128086685],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00017587456,0.0003476736,0.031610966,0.00016718172,0.00060811354,0.00007856985,0.0003626906,0.28000998,0.00010552082,0.57522464,0.10390847,0.0074003013],"study_design_scores_gemma":[0.0007286787,0.000054366323,0.022224331,0.00007869994,0.000027030408,0.000013748416,0.0015063437,0.17424686,0.00066880364,0.026339456,0.7735215,0.0005901873],"about_ca_topic_score_codex":0.998538,"about_ca_topic_score_gemma":0.9999912,"teacher_disagreement_score":0.669613,"about_ca_system_score_codex":0.013773602,"about_ca_system_score_gemma":0.04062988,"threshold_uncertainty_score":0.9996895},"labels":[],"label_agreement":null},{"id":"W2134128348","doi":"10.7202/029967ar","title":"Les nouvelles dynamiques régionales de l’économie québécoise : cinq tendances","year":2009,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art; Geography","score_opus":0.09000206393485032,"score_gpt":0.29017475729006836,"score_spread":0.20017269335521803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134128348","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":[0.6663058,0.17553523,0.005276557,0.12711628,0.0005190985,0.00034148162,0.00038012268,0.00019783789,0.024327584],"genre_scores_gemma":[0.764273,0.20719276,0.016304502,0.002719396,0.00071009266,0.00004317249,0.000081781545,0.000066017856,0.008609258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963001,0.00027706966,0.0013661268,0.0010399345,0.00007276153,0.00094398006],"domain_scores_gemma":[0.9974831,0.00061663735,0.0008883265,0.0005498174,0.00014735755,0.00031478057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019034204,0.0006287252,0.0012712112,0.0008816588,0.00043862508,0.00031737506,0.00070024526,0.0010756934,0.00034726242],"category_scores_gemma":[0.00024328982,0.00078865356,0.0015402364,0.00065345113,0.00067687454,0.0005679815,0.000072123796,0.0007926968,0.00013169563],"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":[0.00005391009,0.0005286632,0.26065937,0.00014579577,0.00080476876,0.000016931634,0.0044320324,0.0004578989,0.000028451597,0.67822933,0.0042821984,0.05036063],"study_design_scores_gemma":[0.00043656866,0.00039472347,0.2705011,0.000340132,0.00013057808,0.000018594847,0.00087523815,0.010897182,0.00014548631,0.6380182,0.07695904,0.0012831469],"about_ca_topic_score_codex":0.18783137,"about_ca_topic_score_gemma":0.06131547,"teacher_disagreement_score":0.1265159,"about_ca_system_score_codex":0.003356981,"about_ca_system_score_gemma":0.00028570398,"threshold_uncertainty_score":0.99945647},"labels":[],"label_agreement":null},{"id":"W2135308787","doi":"10.1111/j.1468-2257.2007.00393.x","title":"Space, Time, and Local Employment Growth: An Application of Spatial Regression Analysis","year":2007,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Nomothetic; Econometrics; Regression analysis; Space (punctuation); Regression; Geographically Weighted Regression; Focus (optics); Local regression; Work (physics); Order (exchange); Nomothetic and idiographic; Regional science; Economic geography; Economics; Computer science; Geography; Mathematics; Statistics; Polynomial regression; Psychology","score_opus":0.024238967155838363,"score_gpt":0.22328171835796634,"score_spread":0.19904275120212797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135308787","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":[0.9177288,0.0012589012,0.078355305,0.00085205835,0.000037758546,0.00017042714,0.00010112045,0.000015233888,0.0014804318],"genre_scores_gemma":[0.99861854,0.0006434898,0.00028990436,0.0001362907,0.00012145954,0.0000124860835,0.000110019304,0.000010472125,0.0000573472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901587,0.000008165317,0.0003995874,0.00036041928,0.00003808353,0.00017787643],"domain_scores_gemma":[0.99933505,0.00002611933,0.00028778278,0.00016757575,0.000033390654,0.00015008122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003572826,0.0001259086,0.0004131467,0.00044107073,0.0000739215,0.000024359048,0.000084052896,0.00009326491,0.000042592128],"category_scores_gemma":[0.000010049212,0.00012531823,0.00009782779,0.00030620367,0.000088356865,0.00015402767,0.000048473947,0.000053570293,0.0000120679415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014135512,0.00022712027,0.7933718,0.0000658893,0.0005381458,0.0000050880117,0.0010266106,0.000015626842,0.00034665698,0.16941747,0.000045752404,0.03479847],"study_design_scores_gemma":[0.00075426087,0.00033452528,0.90007144,0.000012384058,0.00022015181,0.0000037951825,0.000109189685,0.07527884,0.0012121048,0.020201506,0.0013301213,0.00047167917],"about_ca_topic_score_codex":0.012122946,"about_ca_topic_score_gemma":0.001745579,"teacher_disagreement_score":0.14921597,"about_ca_system_score_codex":0.000021460433,"about_ca_system_score_gemma":0.000003212078,"threshold_uncertainty_score":0.9944554},"labels":[],"label_agreement":null},{"id":"W2135801228","doi":"10.1111/dpr.12041","title":"Places for Place‐Based Policy","year":2013,"lang":"en","type":"article","venue":"Development Policy Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Disadvantaged; Externality; Equity (law); Accountability; Social Welfare; Welfare; Psychological intervention; Economics; Developing country; Public economics; Business; Economic growth; Political science; Market economy","score_opus":0.0590981988650305,"score_gpt":0.2749814333927565,"score_spread":0.21588323452772598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135801228","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03970574,0.19048418,0.02600609,0.56166667,0.0006500909,0.008602587,0.00055803766,0.00033728225,0.17198932],"genre_scores_gemma":[0.43566674,0.18494335,0.089634605,0.21608143,0.0033774523,0.009647472,0.0012965556,0.00038233332,0.058970083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99819297,0.000011193298,0.00097089884,0.0003958586,0.000036289828,0.00039281184],"domain_scores_gemma":[0.9989741,0.000075432414,0.00043512907,0.00029307467,0.000060718357,0.00016155442],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045406245,0.00021693192,0.0006957693,0.00042226422,0.00014110096,0.00009311392,0.00031989798,0.000066302404,0.0007610556],"category_scores_gemma":[0.0002840947,0.00021712181,0.00025641354,0.00043271686,0.000034924396,0.00017246214,0.00004846043,0.00006205704,0.002664921],"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":[0.000008885171,0.00013535039,0.0040157684,0.0022632699,0.0003118876,6.245031e-7,0.00015476387,0.00017399085,0.0000047076933,0.86490965,0.08861537,0.03940574],"study_design_scores_gemma":[0.00030865835,0.00001808267,0.0025978964,0.00021818622,0.0000075088287,0.0000010322614,0.0000030845563,0.0015776188,0.000020763862,0.011890193,0.98303175,0.0003252401],"about_ca_topic_score_codex":0.0017768294,"about_ca_topic_score_gemma":0.000066460925,"teacher_disagreement_score":0.8944164,"about_ca_system_score_codex":0.00027373864,"about_ca_system_score_gemma":0.00035252783,"threshold_uncertainty_score":0.9981116},"labels":[],"label_agreement":null},{"id":"W2137040383","doi":"10.1068/a44284","title":"China's Development Disconnect","year":2012,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Human capital; Distribution (mathematics); Capital (architecture); Face (sociological concept); Economic geography; Economic system; Business; Economics; Industrial organization; Economic growth; Political science; Sociology; Geography","score_opus":0.019811973708516926,"score_gpt":0.18077430084734086,"score_spread":0.16096232713882394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137040383","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":[0.96133924,0.008653382,0.0027988532,0.0015220961,0.00008899522,0.00008575964,0.000010201882,0.000012974629,0.025488503],"genre_scores_gemma":[0.99655986,0.0004341168,0.0011827031,0.0001533938,0.00014077133,0.00001633247,0.000020926262,0.000011770278,0.0014801561],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991471,0.0000074260224,0.00028450647,0.00027841318,0.00001226198,0.00027029822],"domain_scores_gemma":[0.9995402,0.000025359295,0.00014803966,0.00011647704,9.960675e-7,0.0001689265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033779274,0.00015335373,0.00028812865,0.000095074625,0.00018953362,0.000067641646,0.000057421108,0.000060212147,0.0002700185],"category_scores_gemma":[0.0000068096742,0.00016337918,0.000044625773,0.000023398534,0.000056017037,0.00026899617,0.000067938534,0.00008576828,0.00016807544],"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":[0.000011303874,0.000048877075,0.8073684,0.000016179238,0.00012572094,0.0000016417174,0.0031663473,0.00022115152,0.0000027988797,0.18650828,0.0003077526,0.0022215352],"study_design_scores_gemma":[0.000327713,0.000027532988,0.49159953,0.000010372315,0.000010632394,0.000008184449,0.00028908064,0.001786788,0.000034305947,0.0056092734,0.49990353,0.0003930408],"about_ca_topic_score_codex":0.00009746312,"about_ca_topic_score_gemma":0.0000029655998,"teacher_disagreement_score":0.4995958,"about_ca_system_score_codex":0.00003657434,"about_ca_system_score_gemma":0.0000036550698,"threshold_uncertainty_score":0.666241},"labels":[],"label_agreement":null},{"id":"W2137719806","doi":"","title":"Uneven landscapes and the city size distribution","year":2010,"lang":"en","type":"article","venue":"Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zipf's law; Product (mathematics); Distribution (mathematics); Econometrics; Economics; Mathematics; Statistics","score_opus":0.004619210268957587,"score_gpt":0.16754222510914446,"score_spread":0.16292301484018687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137719806","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":[0.90839064,0.00026439913,0.0038428023,0.005671481,0.000096511234,0.0001978424,0.0009139453,0.000070490525,0.08055189],"genre_scores_gemma":[0.99517405,0.0002936399,0.0004742719,0.00035058634,0.00007053232,0.000005018651,0.00020184611,0.00003173546,0.0033983127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983012,0.00009307633,0.0002996958,0.00057760015,0.00010798585,0.0006204544],"domain_scores_gemma":[0.99791795,0.000995466,0.0002727014,0.0003933589,0.00006116084,0.00035934817],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00092120934,0.00030506265,0.0005263877,0.00019173503,0.00078443607,0.0004119998,0.0007048741,0.00022605657,0.0009544725],"category_scores_gemma":[0.00024695642,0.0003347647,0.000395725,0.00042647982,0.0006411885,0.00090281665,0.0004067205,0.0006063138,0.00007140991],"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":[0.00031106733,0.00011388604,0.17975365,0.000019113955,0.00035921822,0.00016810169,0.0015809142,0.00030745796,0.00007431027,0.8141432,0.0022532127,0.00091588864],"study_design_scores_gemma":[0.0058763465,0.0001381812,0.45417908,0.000015127237,0.00018547027,0.00024322463,0.0041343523,0.021626092,0.000022187465,0.28163537,0.23084639,0.0010981782],"about_ca_topic_score_codex":0.0013098291,"about_ca_topic_score_gemma":0.00025427813,"teacher_disagreement_score":0.5325078,"about_ca_system_score_codex":0.0004820173,"about_ca_system_score_gemma":0.00012529714,"threshold_uncertainty_score":0.9999588},"labels":[],"label_agreement":null},{"id":"W2137865774","doi":"10.5539/ass.v7n5p56","title":"Interaction Analysis among Industrial Parks, Innovation Input, and Urban Production Efficiency","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Industrialisation; Investment (military); Urbanization; Scale (ratio); Production efficiency; Business; Factors of production; Industrial park; Environmental economics; Economics; Natural resource economics; Industrial organization; Economic growth; Microeconomics; Market economy; Geography; Engineering","score_opus":0.05392401971870804,"score_gpt":0.23653436081359433,"score_spread":0.18261034109488627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137865774","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":[0.8802588,0.00002300635,0.002075149,0.0007787999,0.00042420704,0.0001177465,0.000008698005,0.000021319174,0.11629229],"genre_scores_gemma":[0.9993482,0.000015531215,0.00009860356,0.00006624118,0.00025696075,0.0000098442915,0.000008748416,0.0000053069493,0.00019056264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872625,0.000012621184,0.000477116,0.0005022733,0.00006448331,0.00021725854],"domain_scores_gemma":[0.9992347,0.000006674454,0.00046409728,0.00014155201,0.00008214441,0.00007082677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097162905,0.00009916474,0.00025581958,0.00092128466,0.00045095474,0.00012626228,0.00019719725,0.0000813384,0.000113128684],"category_scores_gemma":[0.00023166504,0.00011173348,0.00008298178,0.004011426,0.0004422261,0.00078315375,0.000057194884,0.000128277,0.000026374082],"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":[0.00001634737,0.00008672444,0.53784925,0.000002449943,0.0001277561,6.8186813e-7,0.00415904,0.000009664408,0.000056113036,0.4321767,0.00031592525,0.025199318],"study_design_scores_gemma":[0.00018728011,0.000051915136,0.9739287,0.0000035613143,0.000063965854,8.8328164e-7,0.0007027209,0.002226391,0.00018218336,0.019825252,0.00253712,0.0002900521],"about_ca_topic_score_codex":0.0011809428,"about_ca_topic_score_gemma":0.00012826434,"teacher_disagreement_score":0.4360794,"about_ca_system_score_codex":0.00013855797,"about_ca_system_score_gemma":0.000042990072,"threshold_uncertainty_score":0.45563594},"labels":[],"label_agreement":null},{"id":"W2138596236","doi":"10.1108/cr-07-2015-0069","title":"Creativity, clusters and the competitive advantage of cities","year":2015,"lang":"en","type":"article","venue":"Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Originality; Creativity; Value (mathematics); Work (physics); Business; Creative industries; Economics; Inequality; Government (linguistics); Labour economics; Demographic economics; Economic growth; Marketing; Engineering; Political science","score_opus":0.04750117403567735,"score_gpt":0.28766424835171434,"score_spread":0.24016307431603698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138596236","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":[0.5317305,0.1607184,0.16519256,0.03015767,0.008005128,0.0013443469,0.0013708394,0.000045733486,0.10143487],"genre_scores_gemma":[0.97446364,0.022677287,0.0015813704,0.0006525842,0.00050648185,0.000008093918,0.000027913307,0.000024837342,0.00005781441],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99623305,0.00047869066,0.002368912,0.00031570296,0.0003654069,0.00023822948],"domain_scores_gemma":[0.99061173,0.00040356087,0.005062142,0.000254126,0.0033900833,0.000278351],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045126644,0.0003487598,0.0017188484,0.00025617433,0.0002018412,0.000276017,0.0010583496,0.00007906808,0.00017586704],"category_scores_gemma":[0.0011154282,0.00027339923,0.0004322006,0.0005823594,0.0009938902,0.0014537994,0.0002679904,0.0003878871,0.000009826296],"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":[0.000523591,0.00017518106,0.18137835,0.00024921773,0.00044926873,0.000075484815,0.0001245546,0.001032612,0.0000044415065,0.8151555,0.000018165329,0.00081360043],"study_design_scores_gemma":[0.021928009,0.0014037829,0.42009148,0.023907922,0.00079851685,0.010955958,0.0080792755,0.006687644,0.000069813854,0.43412533,0.06973704,0.0022152215],"about_ca_topic_score_codex":0.00018787404,"about_ca_topic_score_gemma":0.00006497546,"teacher_disagreement_score":0.44273317,"about_ca_system_score_codex":0.0003896649,"about_ca_system_score_gemma":0.00036829288,"threshold_uncertainty_score":0.9999718},"labels":[],"label_agreement":null},{"id":"W2138653963","doi":"10.1093/cjres/rsn018","title":"The rise of the mega-region","year":2008,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":332,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"George (robot); Library science; Political science; Media studies; Economic history; History; Management; Sociology; Art history; Economics","score_opus":0.025534362861033517,"score_gpt":0.19315975985387865,"score_spread":0.16762539699284512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138653963","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":[0.95218086,0.015199888,0.0039341147,0.017056212,0.0004854829,0.00015231746,0.000020314743,0.0000050973804,0.010965694],"genre_scores_gemma":[0.9801427,0.01735921,0.000105730134,0.00031242566,0.00019024684,0.0000030174122,4.49349e-7,0.0000102921895,0.0018759106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987428,0.000026109916,0.0008714314,0.00015476743,0.000031854597,0.00017303816],"domain_scores_gemma":[0.9980211,0.00014490746,0.0013329823,0.00030156248,0.000107650194,0.00009179833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059646094,0.00012338773,0.00044222077,0.00005284026,0.00060333527,0.000042281412,0.00038320397,0.00008334886,0.000005967913],"category_scores_gemma":[0.000053482443,0.00008248573,0.0008615697,0.00015671227,0.00058885576,0.0002264916,0.00007071978,0.00023129127,0.000004305487],"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":[0.000028259927,0.0000771977,0.08079189,0.00002152874,0.0006641429,0.0000061678693,0.0010512603,0.00025461684,0.0000064321093,0.83978474,0.076626346,0.0006874006],"study_design_scores_gemma":[0.0011894411,0.00012910213,0.07089185,0.000039409188,0.00007402531,0.0006284084,0.0009793023,0.0049402304,0.00009857,0.026679488,0.8940316,0.00031858255],"about_ca_topic_score_codex":0.00008649867,"about_ca_topic_score_gemma":0.000009015934,"teacher_disagreement_score":0.8174052,"about_ca_system_score_codex":0.000069374895,"about_ca_system_score_gemma":0.00008012758,"threshold_uncertainty_score":0.4640428},"labels":[],"label_agreement":null},{"id":"W2141170760","doi":"10.1111/j.1541-0064.2001.tb01188.x","title":"The identification of employment centres in Canadian metropolitan areas: the example of Montreal, 1996","year":2001,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metropolitan area; Identification (biology); Census; Regional science; Distribution (mathematics); Geography; Demographic economics; Economics; Sociology; Population; Demography","score_opus":0.013820019170202534,"score_gpt":0.18612985713776328,"score_spread":0.17230983796756075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141170760","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":[0.97795,0.009465589,0.0000047168473,0.0054067783,0.00032741777,0.00036050667,0.00071952684,0.000008212738,0.0057572816],"genre_scores_gemma":[0.98840505,0.010982765,0.000009099097,0.00016981541,0.000045254474,0.00006147806,0.00006338757,0.000025326715,0.00023784542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970528,0.00004584231,0.0014046807,0.00043785738,0.00007345819,0.0009853798],"domain_scores_gemma":[0.9976351,0.00017696802,0.0006480772,0.0007943932,0.00012506812,0.00062038895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009542875,0.00024699923,0.0005165467,0.0036357234,0.0005389112,0.00010339764,0.0008013821,0.000110346635,0.00006340817],"category_scores_gemma":[0.00015217092,0.00020784832,0.0003771617,0.0034790903,0.0010457791,0.00014730182,0.000028821845,0.0001405898,0.000006957876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009116063,0.00001311908,0.6602216,0.0000074544773,0.00017698322,0.0000065456697,0.00043338418,0.00012368217,0.0000017645906,0.33696777,0.0007590698,0.0012795619],"study_design_scores_gemma":[0.00021090398,0.000053875585,0.7929625,0.000017291526,0.000029109162,0.0000061058267,0.005110258,0.00049563433,0.000009633673,0.03540456,0.16540936,0.0002908039],"about_ca_topic_score_codex":0.9998593,"about_ca_topic_score_gemma":0.9999878,"teacher_disagreement_score":0.3015632,"about_ca_system_score_codex":0.00054111273,"about_ca_system_score_gemma":0.00021900053,"threshold_uncertainty_score":0.84758085},"labels":[],"label_agreement":null},{"id":"W2141340004","doi":"10.1002/(sici)1099-131x(199601)15:1&amp;lt;19::aid-for602&amp;gt;3.0.co;2-b","title":"Assessing the Historical Accuracy of Regional Economic Forecasts","year":2004,"lang":"en","type":"preprint","venue":"scholarworks - UTEP (The University of Texas at El Paso)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Univariate; Econometrics; Benchmark (surveying); Business cycle; Metropolitan area; Econometric model; Dependency (UML); Economics; Consensus forecast; Statistics; Computer science; Geography; Macroeconomics; Mathematics; Multivariate statistics; Cartography","score_opus":0.05311919237689708,"score_gpt":0.24374555716906002,"score_spread":0.19062636479216294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141340004","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":[0.948356,0.0066963662,0.00870477,0.02079867,0.0014108508,0.00065687817,0.00028390315,0.000038420356,0.013054154],"genre_scores_gemma":[0.99449116,0.0021645403,0.00074373436,0.00015905415,0.00022309966,0.0000013549637,0.0000826824,0.000033977318,0.002100367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.997796,0.0000785507,0.0009105743,0.00076497503,0.00011003279,0.00033985014],"domain_scores_gemma":[0.99579674,0.00036397818,0.0024416086,0.0011767999,0.00009982696,0.00012102147],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010672127,0.0003545569,0.0010420241,0.00030595023,0.00053674605,0.00013172,0.0018296833,0.00047322697,0.00075138774],"category_scores_gemma":[0.00010857298,0.0003300926,0.0011189487,0.00017839977,0.0004374969,0.00045545184,0.0013739532,0.0010294255,0.00023805056],"study_design_candidate":"theoretical_or_conceptual","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":[0.0004648119,0.0007591856,0.16202068,0.0005516171,0.004979222,0.000048454585,0.0032342393,0.39028433,0.00003242634,0.38938737,0.037551526,0.010686152],"study_design_scores_gemma":[0.002574415,0.00014920658,0.21961848,0.0005641693,0.00063435634,0.000030961117,0.0007141583,0.05762907,0.000046340603,0.22722715,0.48897806,0.0018336523],"about_ca_topic_score_codex":0.009700788,"about_ca_topic_score_gemma":0.0009765257,"teacher_disagreement_score":0.4514265,"about_ca_system_score_codex":0.002641025,"about_ca_system_score_gemma":0.00028676417,"threshold_uncertainty_score":0.9999151},"labels":[],"label_agreement":null},{"id":"W2141604763","doi":"10.1177/1078087408322592","title":"Weak Ties that Bind","year":2008,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Interpersonal ties; Economic geography; Strong ties; Consumption (sociology); Central city; Business; Economics; Geography; Sociology","score_opus":0.06425823647036241,"score_gpt":0.2133939917081537,"score_spread":0.1491357552377913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141604763","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004085302,0.5822724,0.00044234362,0.007403331,0.00032788987,0.00032536717,0.000077602876,0.00005706547,0.4050087],"genre_scores_gemma":[0.50932133,0.4694378,0.0002842303,0.0012288946,0.00017003858,0.000039342416,0.000039204795,0.000030852534,0.019448293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869573,0.000014352431,0.00061370566,0.00039022593,0.000040378916,0.00024560903],"domain_scores_gemma":[0.9990451,0.000027940621,0.00036679927,0.00042256108,0.000022153314,0.00011549787],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000308853,0.0001813255,0.0007626761,0.00014452655,0.00013407758,0.000028215707,0.0002822373,0.00006448692,0.0022777922],"category_scores_gemma":[0.000049399096,0.00018227242,0.00040959148,0.0002332784,0.000093988376,0.00018019005,0.00005509818,0.00011339238,0.004453267],"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":[0.0000056777267,0.00010929665,0.06537771,0.00067486666,0.00026191698,0.000020857991,0.00017464333,0.000019108016,0.0000011618345,0.48962596,0.44122428,0.0025045082],"study_design_scores_gemma":[0.00013780681,0.000023656514,0.00257816,0.00018187065,0.000017632901,0.000019701867,0.000021266942,0.00027908877,0.0000043220457,0.0039761495,0.9924806,0.00027974736],"about_ca_topic_score_codex":0.00019869208,"about_ca_topic_score_gemma":0.000030985757,"teacher_disagreement_score":0.5512563,"about_ca_system_score_codex":0.00006895577,"about_ca_system_score_gemma":0.000021127657,"threshold_uncertainty_score":0.9986343},"labels":[],"label_agreement":null},{"id":"W2143055265","doi":"10.1093/jeg/4.2.107","title":"The rise (and decline) of American regional science: lessons for the new economic geography?","year":2004,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; London School of Economics and Political Science","keywords":"Context (archaeology); Regional geography; Economic science; History of science; Work (physics); Economic geography; Sociology; Historical geography; Human geography; Regional science; Social science; Geography; Epistemology; Archaeology","score_opus":0.024132857556563015,"score_gpt":0.2553530055064184,"score_spread":0.23122014794985535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143055265","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":[0.9075068,0.015935762,0.0036444555,0.070457235,0.0011096264,0.00034933907,0.00013557295,0.000007638919,0.0008535668],"genre_scores_gemma":[0.9849413,0.012768465,0.0014772582,0.00025186405,0.00048327335,0.0000109984685,0.0000013774064,0.000021996477,0.000043437674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976285,0.000012010573,0.0015306628,0.00036973399,0.000059172242,0.00039990104],"domain_scores_gemma":[0.99618185,0.00043807758,0.0026164523,0.00043196217,0.00009290565,0.00023877254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002203768,0.00021815511,0.000720537,0.0007962649,0.0005705769,0.00026400588,0.0010557807,0.000058223894,0.000030273026],"category_scores_gemma":[0.00006623349,0.00016082547,0.0010012389,0.0002600222,0.001656568,0.0003804896,0.00012193048,0.00020009099,0.000016392089],"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":[0.0002223617,0.00008331164,0.10835129,0.0000099622885,0.0010663775,9.065063e-7,0.0001856232,0.02342204,0.000013797152,0.85240376,0.0017624636,0.012478086],"study_design_scores_gemma":[0.0024566413,0.0005312603,0.2430135,0.000025858873,0.0001503773,0.00005146302,0.00043819626,0.0048278966,0.00007803427,0.53328645,0.21469949,0.000440809],"about_ca_topic_score_codex":0.0035138486,"about_ca_topic_score_gemma":0.0010224421,"teacher_disagreement_score":0.3191173,"about_ca_system_score_codex":0.00015480809,"about_ca_system_score_gemma":0.00039518453,"threshold_uncertainty_score":0.6558272},"labels":[],"label_agreement":null},{"id":"W2143199403","doi":"10.1177/0160017608318521","title":"The Left Brain of North American Cities","year":2008,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Census; Human capital; Science and engineering; Economic geography; Capital (architecture); Population; Regional science; Demographic economics; Economic growth; Geography; Economics; Sociology; Engineering; Demography","score_opus":0.052025935418234956,"score_gpt":0.2670192203826676,"score_spread":0.21499328496443265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143199403","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":[0.6192167,0.05208039,0.0013059716,0.27525443,0.0008813796,0.00045983394,0.00014477357,0.000033800094,0.05062273],"genre_scores_gemma":[0.8302407,0.16502728,0.0001900487,0.0029265778,0.000089976435,0.000011109779,0.000009279556,0.0000061684623,0.0014988453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986999,0.000010432438,0.0006246332,0.00029025055,0.00018398951,0.00019081362],"domain_scores_gemma":[0.99872285,0.00016324973,0.0006148852,0.00024201338,0.00017887849,0.00007814829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007747699,0.0000952748,0.00031744124,0.00014762425,0.00029068335,0.000032433654,0.0009502651,0.000008657624,0.000092198316],"category_scores_gemma":[0.0003954104,0.00007360891,0.00021745382,0.0004820528,0.0015684401,0.00023006178,0.00009226188,0.00007174887,0.00014256366],"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":[0.000008267976,0.000045987985,0.18871552,0.000034519882,0.000090209214,0.0000034188624,0.000072477465,0.00008737119,0.00000471012,0.78204626,0.013958838,0.014932415],"study_design_scores_gemma":[0.00006201541,0.000028350512,0.3325893,0.00007370719,0.0000034374173,0.000039864204,0.000008421312,0.0010575064,0.0000050764334,0.008264279,0.6577322,0.00013587906],"about_ca_topic_score_codex":0.0006393763,"about_ca_topic_score_gemma":0.00039576134,"teacher_disagreement_score":0.773782,"about_ca_system_score_codex":0.00011267557,"about_ca_system_score_gemma":0.000112070644,"threshold_uncertainty_score":0.57789826},"labels":[],"label_agreement":null},{"id":"W2143311496","doi":"10.1016/j.jue.2008.09.003","title":"Skills in the city","year":2008,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":354,"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":"Economies of agglomeration; Wage; Urbanization; Productivity; Estimation; Economics; Quality (philosophy); Variety (cybernetics); Cognitive skill; Demographic economics; Control (management); Labour economics; Cognition; Microeconomics; Psychology; Economic growth","score_opus":0.0335167053594244,"score_gpt":0.1966425002583556,"score_spread":0.1631257948989312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143311496","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":[0.9826283,0.0009718903,0.00036706546,0.0032372652,0.00032523368,0.000059836162,0.000019229094,0.000002235688,0.012388968],"genre_scores_gemma":[0.9950963,0.0026004007,0.00038611735,0.0010421091,0.00037883734,0.0000020773932,0.0000019780389,0.000012104952,0.0004800785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836254,0.000018690422,0.00123248,0.00016502413,0.000023845294,0.00019743842],"domain_scores_gemma":[0.9985004,0.000108740154,0.0010412346,0.00024638575,0.000033738368,0.00006949088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001383,0.00012231452,0.0005349054,0.00034014328,0.00008491228,0.00004915561,0.00052417035,0.00007371989,0.00015575977],"category_scores_gemma":[0.00007584287,0.000105951534,0.00035669582,0.00014935598,0.00008373642,0.00032969812,0.00002813942,0.00024933988,0.00010459927],"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":[0.000031246484,0.00029704013,0.7997876,0.0000043583564,0.00014113904,0.000050995233,0.0015939405,0.0022821734,0.0000013125295,0.18779142,0.0075880825,0.00043070002],"study_design_scores_gemma":[0.0016412761,0.0002245496,0.5689273,0.000013782667,0.000018482542,0.000534614,0.0002476319,0.0036957792,0.000020522346,0.11837015,0.3058623,0.0004435814],"about_ca_topic_score_codex":0.0001671839,"about_ca_topic_score_gemma":0.000107887856,"teacher_disagreement_score":0.29827422,"about_ca_system_score_codex":0.00015383176,"about_ca_system_score_gemma":0.000052395546,"threshold_uncertainty_score":0.4320578},"labels":[],"label_agreement":null},{"id":"W2143590917","doi":"10.1093/jeg/lbp022","title":"There goes the metro: how and why bohemians, artists and gays affect regional housing values","year":2009,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":150,"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":"Affect (linguistics); Economic geography; Advertising; Business; Sociology; Economics; Communication","score_opus":0.01978723601775097,"score_gpt":0.21033874406524913,"score_spread":0.19055150804749815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143590917","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":[0.95715153,0.017406208,0.00079010666,0.023316786,0.00018893562,0.00008981644,0.000024277853,0.0000071425698,0.001025185],"genre_scores_gemma":[0.9916082,0.0064242063,0.0005454875,0.0010320684,0.0003311018,0.0000018002589,0.0000023026514,0.000014639609,0.00004020085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998711,0.000043701548,0.0006663504,0.0002941199,0.000036477184,0.00024834834],"domain_scores_gemma":[0.9984479,0.00013902067,0.0010163267,0.00021775825,0.00003406681,0.00014491717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012405155,0.00020654245,0.000623682,0.0003592039,0.00021666082,0.00035780715,0.00025184575,0.00009150394,0.000047340287],"category_scores_gemma":[0.000029367358,0.00016695166,0.00042076616,0.00011457925,0.00018177455,0.00043107828,0.00003585778,0.00021910173,0.000008008571],"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":[0.00008787519,0.00012784998,0.8566802,0.00003102547,0.001283129,0.000022924818,0.00040340464,0.0008816993,0.000059667127,0.11175201,0.008240038,0.020430142],"study_design_scores_gemma":[0.0011702375,0.00047683937,0.6827664,0.000054074837,0.00011956647,0.0001308061,0.0004261621,0.004086788,0.000040746105,0.27584672,0.03437204,0.0005096612],"about_ca_topic_score_codex":0.00019250726,"about_ca_topic_score_gemma":0.00013496247,"teacher_disagreement_score":0.17391388,"about_ca_system_score_codex":0.000055051063,"about_ca_system_score_gemma":0.000017210952,"threshold_uncertainty_score":0.6808091},"labels":[],"label_agreement":null},{"id":"W2144126006","doi":"10.5430/afr.v2n4p69","title":"The Influence of Financial Industry Cluster on Economic Growth: Three Economic Zones in China","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Yangtze river; Beijing; Cluster (spacecraft); Business; Exclusive economic zone; Business cluster; Economics; Finance; Economic geography; Geography; Political science","score_opus":0.02853926245706165,"score_gpt":0.26073576067131443,"score_spread":0.23219649821425278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144126006","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":[0.99065614,0.0005804536,0.000011458744,0.005008962,0.000114599396,0.00026946547,0.00002806575,0.000006115727,0.0033247613],"genre_scores_gemma":[0.99672455,0.0025278265,0.00005534406,0.00009748882,0.0001576663,0.00010021457,0.000002708475,0.000019467254,0.00031473095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997995,0.000032882628,0.0008295121,0.0005225376,0.000059955855,0.0005601068],"domain_scores_gemma":[0.9987433,0.0004058945,0.00034839945,0.00039766356,0.000058466892,0.00004629133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020949165,0.00017362775,0.000447497,0.00040779452,0.00034720788,0.00023109672,0.0005149231,0.00024871848,0.00005534157],"category_scores_gemma":[0.00029273066,0.00015724551,0.00009788203,0.00021414866,0.00035912043,0.00046298807,0.00020879414,0.0007310152,0.0005296713],"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":[0.000036519756,0.00003645244,0.417162,0.000019991092,0.000020129506,0.0000010399339,0.00011961097,0.009010498,0.000003223542,0.567844,0.00089284836,0.0048537264],"study_design_scores_gemma":[0.0003296907,0.0000671078,0.7930433,0.000038349528,0.0000011715238,0.0000013716672,0.00002482322,0.022287903,0.000013029529,0.18095945,0.0030587476,0.00017505247],"about_ca_topic_score_codex":0.027180033,"about_ca_topic_score_gemma":0.0033437226,"teacher_disagreement_score":0.3868845,"about_ca_system_score_codex":0.00019015284,"about_ca_system_score_gemma":0.00010046677,"threshold_uncertainty_score":0.97929806},"labels":[],"label_agreement":null},{"id":"W2146294885","doi":"10.1111/1468-0327.00085","title":"Unemployment clusters across Europe's regions and countries","year":2002,"lang":"en","type":"article","venue":"Economic Policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Connaught Fund; University of Toronto; Centre for Economic Policy Research","keywords":"Unemployment; Economics; Inequality; Polarization (electrochemistry); Regional policy; Labour economics; Economies of agglomeration; Wage; Demographic economics; Economic geography; Economic growth; Political science","score_opus":0.03540779705062344,"score_gpt":0.24232038672866238,"score_spread":0.20691258967803894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146294885","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":[0.81897724,0.0027910622,0.00040161822,0.06490322,0.00046654028,0.00025050898,0.00068159186,0.00008718253,0.111441046],"genre_scores_gemma":[0.9791419,0.005335465,0.00009996771,0.0028091269,0.0004928253,0.000022473287,0.000012098485,0.000038785936,0.012047392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837184,0.000011162179,0.000649786,0.0005107313,0.000016643362,0.00043985297],"domain_scores_gemma":[0.99904466,0.000046909656,0.00032376772,0.00038292832,0.000012442806,0.00018929093],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024594576,0.00020651954,0.00047031694,0.00022874768,0.0002396081,0.00021569477,0.00024756318,0.000080912265,0.0006803638],"category_scores_gemma":[0.000035032783,0.00024683995,0.00013899877,0.00011526806,0.00019491317,0.0002767214,0.00014016857,0.000099660036,0.0036601068],"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":[0.0000068815757,0.000030201516,0.015618082,0.000009819896,0.00013118096,0.0000031781758,0.0008345069,0.00068180007,8.244711e-7,0.96922314,0.012590966,0.000869418],"study_design_scores_gemma":[0.00070390536,0.000054153315,0.006394553,0.0000072198045,0.000008507301,0.000020894075,0.00007027199,0.037316334,0.00000803196,0.031750694,0.9232024,0.00046302626],"about_ca_topic_score_codex":0.003914032,"about_ca_topic_score_gemma":0.00053248997,"teacher_disagreement_score":0.93747246,"about_ca_system_score_codex":0.00026182728,"about_ca_system_score_gemma":0.000019477788,"threshold_uncertainty_score":0.9999984},"labels":[],"label_agreement":null},{"id":"W2147923951","doi":"10.1111/j.1540-5982.2008.01498.x","title":"The spatial sorting and matching of skills and firms","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Matching (statistics); Sorting; Dimension (graph theory); Wage; Point (geometry); Space (punctuation); Economic geography; Distribution (mathematics); Economics; Variation (astronomy); Labour economics; Computer science; Microeconomics; Statistics","score_opus":0.05543210279469842,"score_gpt":0.16913945319843035,"score_spread":0.11370735040373192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147923951","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":[0.9899443,0.0018122735,0.00025176344,0.0062243245,0.00038471536,0.00011174482,0.00007858728,0.0000020352006,0.0011902985],"genre_scores_gemma":[0.9974391,0.0013659288,0.00031901617,0.00040528804,0.00027017266,0.0000022004592,0.0000035628061,0.000021016353,0.00017371273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99781144,0.000018544015,0.0014012475,0.00029825704,0.0000016331809,0.00046891088],"domain_scores_gemma":[0.9972739,0.00017421295,0.0014357467,0.00025630166,0.000073199284,0.0007866237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010314235,0.00020608206,0.0007409946,0.00045416158,0.00029149128,0.00019579564,0.00034049558,0.0001227676,0.000042735985],"category_scores_gemma":[0.00018052681,0.00021533188,0.00019841093,0.00007635829,0.00020721412,0.00031252007,0.00002123532,0.00023229036,0.0000045336515],"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":[0.000017181883,0.000009261797,0.022293672,0.000012045847,0.00013213974,0.000013530975,0.00079269323,0.0012927752,0.0000052469427,0.96340364,0.000053957323,0.011973873],"study_design_scores_gemma":[0.00047870248,0.00025892924,0.026416853,0.00004449608,0.000024302726,0.00016180676,0.00024368864,0.0041963295,0.000026274394,0.96127206,0.0065717692,0.00030481513],"about_ca_topic_score_codex":0.14061622,"about_ca_topic_score_gemma":0.85903937,"teacher_disagreement_score":0.7184231,"about_ca_system_score_codex":0.00034439523,"about_ca_system_score_gemma":0.0002871233,"threshold_uncertainty_score":0.87809795},"labels":[],"label_agreement":null},{"id":"W2148269657","doi":"10.1111/j.0435-3684.2004.00156.x","title":"Economic geography as dissenting institutionalism: the embeddedness, evolution and differentiation of regions","year":2004,"lang":"en","type":"article","venue":"Geografiska Annaler Series B Human Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Dissenting opinion; Optimal distinctiveness theory; Embeddedness; Institutionalism; Positive economics; Isomorphism (crystallography); Sociology; Cornerstone; Institution; Epistemology; Economic geography; Social science; Political science; Economics; Politics; Geography; Law; Social psychology","score_opus":0.014610096057113905,"score_gpt":0.21357092913932346,"score_spread":0.19896083308220955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148269657","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":[0.9882215,0.0023380297,0.0015652598,0.0030051318,0.00030702734,0.00028246772,0.00015520518,0.00005305527,0.0040722974],"genre_scores_gemma":[0.9981869,0.0009557501,0.00017311532,0.00014491804,0.00016088811,0.00006177741,0.00017304946,0.000025259722,0.0001183307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99793494,0.000027165577,0.00095840986,0.0006040318,0.000084749445,0.0003906899],"domain_scores_gemma":[0.99847,0.000030092035,0.00078971067,0.00050251983,0.000084132844,0.0001235653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033203673,0.00030639855,0.00054696575,0.00078601256,0.00085639156,0.00018378187,0.0003680233,0.00013899835,0.00016344555],"category_scores_gemma":[0.000022001243,0.00026690084,0.0005932464,0.00043408744,0.0008390551,0.0006391438,0.00013948855,0.00019511867,0.000051886986],"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":[0.000017836974,0.000072159,0.26492077,0.000022211127,0.00025933012,0.0000010739586,0.00018813966,0.0009297461,0.000015601496,0.7334467,0.000041993244,0.00008443239],"study_design_scores_gemma":[0.00045179983,0.00008668349,0.5509166,0.00002577509,0.00004952994,0.00001159926,0.00022072926,0.000112654874,0.000027442215,0.4428901,0.00492235,0.00028471978],"about_ca_topic_score_codex":0.0064515835,"about_ca_topic_score_gemma":0.0013677328,"teacher_disagreement_score":0.2905566,"about_ca_system_score_codex":0.000058174748,"about_ca_system_score_gemma":0.00003611369,"threshold_uncertainty_score":0.9999783},"labels":[],"label_agreement":null},{"id":"W2148502645","doi":"10.1093/jeg/lbn038","title":"Lost in space: population growth in the American hinterlands and small cities","year":2008,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":254,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Urban hierarchy; Economic geography; Urban agglomeration; Economies of agglomeration; Geography; Urban geography; Population; Population growth; Distribution (mathematics); Urban density; Urban economics; Urbanization; Urban space; Hierarchy; Urban planning; Economics; Economic growth; Ecology; Demography; Biology; Sociology; Market economy","score_opus":0.020472845287717395,"score_gpt":0.19857034241964036,"score_spread":0.17809749713192297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148502645","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":[0.9940744,0.00083619746,0.000046999856,0.002559201,0.0001157883,0.000055497432,0.000013975163,0.0000014089617,0.0022965174],"genre_scores_gemma":[0.99618536,0.0031957764,0.00018541451,0.00028586824,0.000110536515,0.0000022499044,0.0000034613265,0.0000084850335,0.000022868526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874455,0.000026074118,0.00087094784,0.00017076127,0.000019656469,0.0001679856],"domain_scores_gemma":[0.9988364,0.00008523889,0.0009040252,0.00011055768,0.0000154624,0.000048324233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006706163,0.00011692048,0.00053614704,0.001068411,0.000047014444,0.00005379299,0.00021356203,0.00003610316,0.00003257588],"category_scores_gemma":[0.000022542772,0.00010370729,0.00022672271,0.00019504843,0.000117295574,0.00020709695,0.000022094826,0.00017900245,0.000014174673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031500134,0.000030104344,0.96872693,0.000003753661,0.000041329444,0.000012764087,0.00033541248,0.0004540506,3.7071553e-7,0.030122552,0.000094156334,0.0001471025],"study_design_scores_gemma":[0.0004544781,0.00011194711,0.9525008,0.00000944972,0.0000049004343,0.00006560648,0.00023189942,0.0012689852,9.61124e-7,0.044564683,0.00066655315,0.000119724245],"about_ca_topic_score_codex":0.0069970395,"about_ca_topic_score_gemma":0.0019756353,"teacher_disagreement_score":0.016226094,"about_ca_system_score_codex":0.00007123636,"about_ca_system_score_gemma":0.000013088914,"threshold_uncertainty_score":0.99961543},"labels":[],"label_agreement":null},{"id":"W2148751877","doi":"10.1139/x09-161","title":"Use of georeferenced data to study clustering in the primary wood products industry of the US South","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Endowment for Forestry and Communities","keywords":"Cluster analysis; Georeference; Business; Primary sector of the economy; Statistic; Wood processing; Agricultural economics; Geography; Forestry; Marketing; Economics; Statistics; Tertiary sector of the economy; Mathematics","score_opus":0.27859037166772077,"score_gpt":0.3111920528800411,"score_spread":0.03260168121232032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148751877","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":[0.9934577,0.0001636981,0.000013683205,0.0054491395,0.000058826616,0.00027454842,0.00010583361,3.0684478e-7,0.0004762646],"genre_scores_gemma":[0.99958307,0.000017522067,0.000097588265,0.00014655545,0.00007079359,0.0000018548558,0.000003497908,0.0000059740605,0.00007312515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855924,0.00009768749,0.0007314342,0.00019703752,0.00012726837,0.0002873355],"domain_scores_gemma":[0.99843323,0.00008468053,0.00035220588,0.000762237,0.00019945911,0.00016816355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031247821,0.00007679918,0.0003388447,0.0007259644,0.00010033228,0.00009162526,0.0015628928,0.00007002472,0.000027254397],"category_scores_gemma":[0.00078284886,0.00005381614,0.00006400316,0.0008735045,0.00009752933,0.0002018818,0.00010654516,0.0006282387,0.000003422942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033064884,0.00009399694,0.9884129,0.000010358933,0.000059291146,0.000019737723,0.0020090055,0.004063733,0.000010675249,0.003660135,0.000487741,0.0011393288],"study_design_scores_gemma":[0.00021661526,0.00024895763,0.99518275,0.000033518103,0.000005596716,0.000006173831,0.0004560427,0.00037870163,0.000010266099,0.001959542,0.0014431474,0.000058705642],"about_ca_topic_score_codex":0.03318646,"about_ca_topic_score_gemma":0.1690238,"teacher_disagreement_score":0.13583733,"about_ca_system_score_codex":0.000129932,"about_ca_system_score_gemma":0.0006411703,"threshold_uncertainty_score":0.97325164},"labels":[],"label_agreement":null},{"id":"W2150321477","doi":"10.25336/p6mk8g","title":"An examination of migration patterns to Ontario cities: Demarcating Ontario’s periphery","year":2011,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Geography; Economic geography; Circulation (fluid dynamics); Regional science; Demographic economics; Economics","score_opus":0.09893393433136774,"score_gpt":0.24556242911215284,"score_spread":0.1466284947807851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150321477","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":[0.99402076,0.00008638842,0.00029160615,0.00007538722,0.00020749171,0.00014485396,0.000029626195,0.0000045503643,0.0051393486],"genre_scores_gemma":[0.998683,0.000021046359,0.0006633331,0.00011972404,0.000033546752,0.000031983203,0.00007928151,0.00001011722,0.0003579643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989349,0.000015337904,0.00058599963,0.00026153642,0.000026572325,0.00017560537],"domain_scores_gemma":[0.9994167,0.000012991139,0.00022885641,0.00018244152,0.00005515903,0.000103852035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035098725,0.00010268932,0.00030217567,0.0005218075,0.000080615275,0.000015465132,0.000104862534,0.000059405884,0.0003122964],"category_scores_gemma":[0.000043211145,0.00013062918,0.000053223765,0.0001505982,0.000021044334,0.00025220364,0.000013921571,0.00006450151,0.000011838881],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035832404,0.000018284176,0.94507664,0.000009781513,0.000034000637,0.0000011755009,0.03240477,0.00048289125,8.555913e-7,0.020280361,0.000016044702,0.0016716077],"study_design_scores_gemma":[0.00008866505,0.000066888344,0.99118006,0.00002334265,0.0000055617784,4.1352115e-7,0.001759544,0.0010464205,0.000003893955,0.0052297725,0.00045357452,0.00014184527],"about_ca_topic_score_codex":0.99485344,"about_ca_topic_score_gemma":0.99990886,"teacher_disagreement_score":0.046103433,"about_ca_system_score_codex":0.0021424755,"about_ca_system_score_gemma":0.00006873254,"threshold_uncertainty_score":0.56024987},"labels":[],"label_agreement":null},{"id":"W2151056556","doi":"10.1068/a3874","title":"Creativity, Connections and Innovation: A Study of Linkages in the Montréal Region","year":2006,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":171,"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":"Prosperity; Creativity; Economic geography; Creative class; Set (abstract data type); Economic system; Economics; Business; Psychology; Economic growth; Social psychology; Computer science","score_opus":0.02872867702521804,"score_gpt":0.20218532807631,"score_spread":0.17345665105109198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151056556","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":[0.98930234,0.0022208116,0.0004633313,0.0018125243,0.000012737196,0.00014440478,0.0000058766627,0.0000028361965,0.006035137],"genre_scores_gemma":[0.99916804,0.00037377814,0.00005160872,0.00006160224,0.00004318574,0.00001884687,0.0000073829374,0.0000040898285,0.00027144264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993583,0.00001769706,0.00030661921,0.00022125199,0.000011949135,0.000084204476],"domain_scores_gemma":[0.99960065,0.000096599695,0.00018536474,0.00009976235,0.0000028140453,0.00001479693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029490414,0.00008849911,0.00023064246,0.00020826116,0.00010972104,0.00004966667,0.00003939966,0.000040358485,0.000008404497],"category_scores_gemma":[0.0000064519895,0.000081803264,0.000017193015,0.000098640216,0.00006054555,0.000105751344,0.00003013972,0.00007619239,0.0000017472075],"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":[0.0000073873034,0.0000985583,0.87436295,0.000005851509,0.000024874733,0.0000030243255,0.0014652858,0.0010011622,8.7546414e-7,0.122674525,0.0001757704,0.00017975463],"study_design_scores_gemma":[0.00088925654,0.00021141833,0.9335758,0.000010738136,0.000015726318,0.00001151884,0.0039070062,0.005747947,0.0000025778716,0.031793557,0.02365325,0.00018122517],"about_ca_topic_score_codex":0.0025776725,"about_ca_topic_score_gemma":0.00020925268,"teacher_disagreement_score":0.090880975,"about_ca_system_score_codex":0.000012888852,"about_ca_system_score_gemma":0.0000019828808,"threshold_uncertainty_score":0.3896687},"labels":[],"label_agreement":null},{"id":"W2152430198","doi":"","title":"Cities and Growth: Knowledge Spillovers in the Adoption of Advanced Manufacturing Technologies","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Business; Affect (linguistics); Emerging technologies; Manufacturing sector; Industrial organization; Economic geography; Economics; Computer science; International economics; Sociology","score_opus":0.015265665291598951,"score_gpt":0.1957420288669058,"score_spread":0.18047636357530686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152430198","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":[0.9861381,0.0097458195,0.0006604056,0.0011783416,0.00004479596,0.000051874635,0.000003438126,0.000007395797,0.00216984],"genre_scores_gemma":[0.94656956,0.053158507,0.0000576896,0.000019613115,0.000026450823,0.0000035206588,0.0000013429312,0.000006073091,0.00015723068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989847,0.000010644562,0.00035864438,0.000136567,0.000023518143,0.00048596028],"domain_scores_gemma":[0.99959385,0.000037362897,0.00024520606,0.00009594388,0.000015615735,0.000012043281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006580362,0.00008586743,0.00023128866,0.00027410683,0.000109515466,0.000016482823,0.00019663072,0.00005284675,0.000004889876],"category_scores_gemma":[0.000036454952,0.00007239949,0.00008886392,0.00011448299,0.00010148143,0.0001704381,0.000026777318,0.00045965242,0.000009043434],"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":[0.000018869205,0.00003524234,0.039816376,0.000007854482,0.000065988315,0.0000018703154,0.00052568276,0.000185774,0.000011907765,0.95407754,0.000014769501,0.005238129],"study_design_scores_gemma":[0.0005710037,0.00016809854,0.048501197,0.000012472419,0.000007217921,0.00017236097,0.005096418,0.00039525342,0.000164928,0.9431444,0.0015988715,0.00016779434],"about_ca_topic_score_codex":0.00020418462,"about_ca_topic_score_gemma":0.0006055851,"teacher_disagreement_score":0.04341269,"about_ca_system_score_codex":0.00020618601,"about_ca_system_score_gemma":0.000076047865,"threshold_uncertainty_score":0.29523656},"labels":[],"label_agreement":null},{"id":"W2152602893","doi":"10.1111/grow.12015","title":"The Growing Economic Specialization of Cities: Disentangling Industrial and Functional Dimensions in the <scp>C</scp>anadian Urban System, 1971–2006","year":2013,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Economic geography; Microdata (statistics); Census; Division of labour; Geography; Database transaction; Population; Regional science; Economics; Database; Demography; Computer science","score_opus":0.04899771330228149,"score_gpt":0.18612903343017836,"score_spread":0.13713132012789686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152602893","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":[0.99314564,0.0020219968,0.000036489808,0.0016471682,0.00033623495,0.0002695689,0.00009581315,0.000005757158,0.0024413154],"genre_scores_gemma":[0.99815327,0.00073200546,0.0000057595335,0.00025272768,0.0006702969,0.00006699023,0.000029647788,0.0000093369135,0.00007994681],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99913,0.000023922788,0.0004152525,0.000210773,0.000028422268,0.00019164522],"domain_scores_gemma":[0.99936086,0.0002183998,0.00021906839,0.00012205336,0.000013649033,0.000065996326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003082938,0.00010690555,0.00023498417,0.00017049182,0.0002528153,0.00013676731,0.00010023245,0.000074365555,0.000016164448],"category_scores_gemma":[0.00004877757,0.000083712104,0.00006635983,0.00011668502,0.000090645546,0.00032852578,0.00003642771,0.00008600734,0.00001797519],"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":[0.000004283167,0.000014611588,0.34515804,0.000026805405,0.000058842637,0.0000010419157,0.0019012083,0.00002790487,0.0000041577086,0.6502716,0.0021029788,0.00042853586],"study_design_scores_gemma":[0.0030000308,0.00024475413,0.7980447,0.00016419684,0.000102232174,0.000024710227,0.029859727,0.057382435,0.000042676544,0.067630745,0.043008532,0.00049525854],"about_ca_topic_score_codex":0.008173976,"about_ca_topic_score_gemma":0.0013209186,"teacher_disagreement_score":0.5826408,"about_ca_system_score_codex":0.000053971315,"about_ca_system_score_gemma":0.00001339521,"threshold_uncertainty_score":0.99843067},"labels":[],"label_agreement":null},{"id":"W2153324312","doi":"10.1111/j.1467-9396.2010.00898.x","title":"A Calibrated Trade Model of Agglomeration","year":2010,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stylized fact; Economies of agglomeration; Economics; Order (exchange); Distribution (mathematics); International economics; Population; Economic geography; International trade; Macroeconomics; Microeconomics","score_opus":0.027559943922217656,"score_gpt":0.23121800693402036,"score_spread":0.2036580630118027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153324312","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":[0.80503947,0.03385855,0.011601985,0.030438358,0.0023001696,0.0008296279,0.0025669818,0.000043731405,0.11332114],"genre_scores_gemma":[0.87010384,0.12346313,0.004764881,0.0011212088,0.0001117504,0.00001790868,0.00014756828,0.000021608965,0.00024812226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983956,0.0000052405608,0.0012420024,0.00023642977,0.000025054287,0.000095640135],"domain_scores_gemma":[0.9985777,0.000031959218,0.001028239,0.00025312905,0.000057363264,0.000051597282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042161345,0.00011361735,0.00055793155,0.00017691325,0.000018741302,0.000016272485,0.0003386509,0.00007115893,0.000631863],"category_scores_gemma":[0.000101053556,0.00012903135,0.0003070934,0.000081161204,0.00006370241,0.00023608693,0.00003936646,0.000110178735,0.000040471547],"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":[0.000007346063,0.00007225977,0.0028530355,0.00028957502,0.00014598983,1.1178321e-7,0.000023042385,0.0031801604,0.00038198897,0.99144036,0.00053976895,0.0010663386],"study_design_scores_gemma":[0.00043111166,0.00003446444,0.0017044392,0.00032802962,0.000027739856,0.0000050017447,0.000006305137,0.8783799,0.0009289215,0.06915672,0.04868819,0.00030918058],"about_ca_topic_score_codex":0.00015638405,"about_ca_topic_score_gemma":0.00007997194,"teacher_disagreement_score":0.92228365,"about_ca_system_score_codex":0.000039335882,"about_ca_system_score_gemma":0.000049994076,"threshold_uncertainty_score":0.6918457},"labels":[],"label_agreement":null},{"id":"W2154307849","doi":"10.1111/j.1467-9396.2009.00822.x","title":"A Tale of Two Ports: The Economic Geography of Inter‐City Rivalry*","year":2009,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Rivalry; Port (circuit theory); Government (linguistics); Service (business); Investment (military); Economics; Industrial organization; Business; Market economy; Economy; Microeconomics; Engineering","score_opus":0.01820351882523112,"score_gpt":0.2489950642756793,"score_spread":0.23079154545044817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154307849","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":[0.7962596,0.085004255,0.0021077853,0.015919684,0.0014442046,0.0008809943,0.0019215996,0.000022090095,0.09643982],"genre_scores_gemma":[0.85389215,0.14409804,0.00080309215,0.0009173226,0.0001114075,0.000009614703,0.00006101764,0.000012741195,0.000094586896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973926,0.000016714457,0.0020844622,0.00032477346,0.000032120282,0.0001493311],"domain_scores_gemma":[0.9968616,0.00008976341,0.0023964948,0.0004980379,0.00010113456,0.00005301281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089693174,0.00018065586,0.00097479904,0.00028825275,0.000028642233,0.000018233173,0.00079616456,0.00005302526,0.00078999944],"category_scores_gemma":[0.0000762975,0.00016943595,0.00083822414,0.000102034785,0.00016735228,0.00018721489,0.00008868317,0.00010310117,0.0000394992],"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":[0.00003434321,0.00014251305,0.035856258,0.0003016548,0.00059293833,4.563819e-7,0.00004627306,0.0015646284,0.0000088595625,0.94987434,0.0006810117,0.010896738],"study_design_scores_gemma":[0.0028856103,0.00078414206,0.09420298,0.0035082723,0.0003016152,0.000050661645,0.00009315095,0.06299687,0.0011836903,0.5645734,0.26794916,0.0014704311],"about_ca_topic_score_codex":0.0010582985,"about_ca_topic_score_gemma":0.00010540195,"teacher_disagreement_score":0.3853009,"about_ca_system_score_codex":0.00014433554,"about_ca_system_score_gemma":0.00006188524,"threshold_uncertainty_score":0.864994},"labels":[],"label_agreement":null},{"id":"W2154629122","doi":"10.1257/aer.91.5.1454","title":"Nursery Cities: Urban Diversity, Process Innovation, and the Life Cycle of Products","year":2001,"lang":"en","type":"article","venue":"American Economic Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1504,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfoundations; Production (economics); Diversity (politics); Ideal (ethics); Process (computing); Economics; Economic geography; Industrial organization; Innovation process; Simple (philosophy); Business; Economic system; Microeconomics; Economies of agglomeration; Computer science; Macroeconomics; Sociology; Political science","score_opus":0.02603144316856581,"score_gpt":0.23286250231522157,"score_spread":0.20683105914665575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154629122","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":[0.8529143,0.072228014,0.0001690816,0.037048765,0.00021193086,0.00076544867,0.00007570591,0.000025245923,0.03656154],"genre_scores_gemma":[0.8949545,0.10104695,0.000047127898,0.0034212184,0.000105594234,0.000032481013,0.000012886632,0.000013916638,0.0003652936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983917,0.000026267653,0.0009936541,0.0003841866,0.000024995994,0.00017919089],"domain_scores_gemma":[0.9981052,0.00007422513,0.0013102518,0.00038948897,0.00006551929,0.00005526576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081686,0.0001545499,0.0009691751,0.00016553506,0.0001438792,0.000033071767,0.00034717724,0.000022752447,0.00017077982],"category_scores_gemma":[0.0001971866,0.00013513882,0.00012844628,0.0004894457,0.00063141383,0.00021655197,0.0001468316,0.00008178404,0.00011858456],"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":[0.0000636876,0.00006371942,0.16673407,0.0006403898,0.0005121237,0.0000010416625,0.0006888193,0.00026347575,3.5170635e-7,0.8069386,0.0064650313,0.01762871],"study_design_scores_gemma":[0.0048176865,0.00038585934,0.11402371,0.0010689998,0.00055672054,0.00006416198,0.0019651374,0.014690322,0.000016041837,0.25447047,0.6056476,0.002293277],"about_ca_topic_score_codex":0.001871012,"about_ca_topic_score_gemma":0.000052522766,"teacher_disagreement_score":0.59918255,"about_ca_system_score_codex":0.000051183444,"about_ca_system_score_gemma":0.000055352582,"threshold_uncertainty_score":0.5510801},"labels":[],"label_agreement":null},{"id":"W2155141348","doi":"10.1007/978-3-540-72444-5_9","title":"The Evolution of OECD ICT Inter-Cluster Networks 1970–2000: An Input-Output Study of Changes in the Interdependencies Between Nine OECD Economies","year":2007,"lang":"en","type":"book-chapter","venue":"Advances in spatial science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Interdependence; Economic geography; Outsourcing; Fragmentation (computing); Cluster (spacecraft); Globalization; Industrial organization; Economic globalization; Information and Communications Technology; Cluster analysis; Business; Economics; Marketing; Computer science; Political science; Market economy","score_opus":0.035236014841698436,"score_gpt":0.26513990875183907,"score_spread":0.22990389391014063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155141348","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":[0.58392495,0.026210183,0.02716242,0.0020230322,0.0034188116,0.0038435918,0.00042454776,0.000044346103,0.35294816],"genre_scores_gemma":[0.99497074,0.0023967312,0.00006534616,0.000063621854,0.00027471024,0.000027644513,0.000011698556,0.000021785123,0.0021677236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969857,0.0000420593,0.001585483,0.0007605815,0.00018092993,0.0004452833],"domain_scores_gemma":[0.99707144,0.0004322417,0.0015987267,0.000746491,0.00008446775,0.00006664514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003479226,0.00033841265,0.00094219024,0.0008998415,0.00020712208,0.0001035716,0.0018191875,0.00017460097,0.000099246565],"category_scores_gemma":[0.00006521702,0.00025986426,0.00015179458,0.00021174467,0.0011207403,0.000638716,0.00036784905,0.00043858602,0.0000199284],"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":[0.00029586768,0.0004552175,0.34903848,0.00008441007,0.0001664966,0.000010732296,0.009712325,0.042024385,0.0000026605894,0.36963144,0.000038440587,0.22853953],"study_design_scores_gemma":[0.0047928724,0.008008127,0.30166712,0.00071843393,0.00023964862,0.000015533458,0.014202403,0.12539496,0.00006328778,0.40722352,0.13371064,0.003963437],"about_ca_topic_score_codex":0.0105464505,"about_ca_topic_score_gemma":0.24465366,"teacher_disagreement_score":0.41104582,"about_ca_system_score_codex":0.0005839718,"about_ca_system_score_gemma":0.00009955513,"threshold_uncertainty_score":0.99998534},"labels":[],"label_agreement":null},{"id":"W2156522000","doi":"10.3386/w9112","title":"From Sectoral to Functional Urban Specialization","year":2002,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic geography; Business; Geography","score_opus":0.44779682708650476,"score_gpt":0.42968085600478123,"score_spread":0.018115971081723525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156522000","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061419844,0.0021478117,0.0006312937,0.003968781,0.0028464783,0.0006906967,0.0035132663,0.000030729658,0.980029],"genre_scores_gemma":[0.8978051,0.0026615395,0.00082549383,0.00023202022,0.017381374,0.00024674583,0.006138756,0.00019630561,0.07451269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955914,0.00006684274,0.0019450767,0.0012365924,0.0006354065,0.00052466575],"domain_scores_gemma":[0.9964935,0.00046183055,0.0009629157,0.0005549498,0.0012523613,0.0002744036],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0033082734,0.0003604013,0.0012129028,0.0023394804,0.00019757218,0.00019954133,0.0007163076,0.000565213,0.016606312],"category_scores_gemma":[0.000935207,0.000455995,0.0005566242,0.00048081027,0.00017298874,0.00026162912,0.0002460332,0.0006069221,0.005736915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003679627,0.00009655321,0.0053438866,0.00002774378,0.00041126838,0.0000017310134,0.000088097484,0.0021282912,0.000007083815,0.5287096,0.46289104,0.0002579317],"study_design_scores_gemma":[0.00036288635,0.00008133612,0.004589409,0.000045943983,0.000013946257,0.0000026629343,0.000021682948,0.0031864531,0.000021595735,0.5451469,0.4460748,0.0004524242],"about_ca_topic_score_codex":0.027501283,"about_ca_topic_score_gemma":0.0017282038,"teacher_disagreement_score":0.90551627,"about_ca_system_score_codex":0.0037384895,"about_ca_system_score_gemma":0.0009799169,"threshold_uncertainty_score":0.9997892},"labels":[],"label_agreement":null},{"id":"W2160555403","doi":"10.1007/978-3-642-23430-9_37","title":"Evolutionary Economic Geography and Relational Geography","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"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":"Time geography; Strategic geography; Context (archaeology); Perspective (graphical); Critical geography; Economic geography; Geography; Human geography; Data science; Development geography; Historical geography; Computer science; Artificial intelligence","score_opus":0.018580481714699552,"score_gpt":0.170454781722695,"score_spread":0.15187430000799543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160555403","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008641801,0.008715783,0.00043713182,0.0018951002,0.0003216097,0.0002525982,0.0005886722,0.00004866613,0.98687625],"genre_scores_gemma":[0.041256532,0.01785252,0.0042686425,0.0011554445,0.00095284305,0.00008314685,0.0010690496,0.00019155862,0.93317026],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99773604,0.0000038215767,0.0010476079,0.0008921173,0.000042085543,0.0002783016],"domain_scores_gemma":[0.9985689,0.0000724685,0.0007007926,0.00042312747,0.000040322022,0.00019438825],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018793398,0.00042506226,0.0008356433,0.001043787,0.00018262459,0.00011501407,0.00022205614,0.00045870745,0.020977395],"category_scores_gemma":[0.0000056655335,0.0004995798,0.000677988,0.000029703237,0.00025297378,0.00029938843,0.00013460302,0.0002941596,0.007012049],"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":[0.000004694454,0.000009532379,0.014752799,0.00001067405,0.0004587602,0.0000013041172,0.000004805861,0.00009069686,4.825478e-8,0.97355026,0.01059703,0.0005193836],"study_design_scores_gemma":[0.00015095455,0.000025735912,0.016297711,0.000009912799,0.00002350392,0.0000052663936,0.0000012183442,0.0028416126,5.1141882e-8,0.5232678,0.45696068,0.000415537],"about_ca_topic_score_codex":0.0013534712,"about_ca_topic_score_gemma":0.00008599827,"teacher_disagreement_score":0.45028245,"about_ca_system_score_codex":0.00012395173,"about_ca_system_score_gemma":0.000033946755,"threshold_uncertainty_score":0.9997456},"labels":[],"label_agreement":null},{"id":"W2160594446","doi":"10.1080/00420980220135536","title":"Intrametropolitan Patterns of High-order Business Service Location: A Comparative Study of Seventeen Sectors in Ile-de-France","year":2002,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Order (exchange); Service (business); Business; Tertiary sector of the economy; Point (geometry); Marketing; Industrial organization; Economic geography; Geography; Finance; Mathematics","score_opus":0.05989485700066091,"score_gpt":0.25018744490100575,"score_spread":0.19029258790034484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160594446","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":[0.99356306,0.004570759,0.0002911015,0.00077067886,0.00009890749,0.00020040278,0.00006316506,0.0000064762703,0.00043547768],"genre_scores_gemma":[0.9988573,0.0005208402,0.00008924517,0.00007585198,0.000051172803,0.00003388007,0.0000044938074,0.000010771067,0.00035640167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868834,0.000026878432,0.0007813141,0.0002887847,0.0000423268,0.00017233864],"domain_scores_gemma":[0.99886656,0.000083559244,0.0004886271,0.0002461787,0.0002864221,0.000028628172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018264764,0.00014874969,0.00084980647,0.0002988837,0.000044205317,0.000010059588,0.0001867292,0.000038809674,0.00009843223],"category_scores_gemma":[0.000048240847,0.00015726882,0.000052422718,0.0009486378,0.000058605314,0.00010482485,0.00006872151,0.00007483019,0.000021012507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000122144465,0.00078544393,0.96120936,0.00013839034,0.00059255346,0.0000015941295,0.01605152,0.005792362,0.0000016704536,0.015004234,0.00031192854,0.000098705554],"study_design_scores_gemma":[0.0015789348,0.00024586375,0.96785593,0.00008999947,0.00004168307,7.3875e-7,0.0151598845,0.009444785,0.000029948511,0.004384464,0.0008399077,0.00032788122],"about_ca_topic_score_codex":0.014599305,"about_ca_topic_score_gemma":0.008783472,"teacher_disagreement_score":0.01061977,"about_ca_system_score_codex":0.00012406049,"about_ca_system_score_gemma":0.000008591369,"threshold_uncertainty_score":0.99196255},"labels":[],"label_agreement":null},{"id":"W2160891811","doi":"10.5539/mas.v9n1p109","title":"Identification and Analysis of Instrument Industry Cluster on the Territory of the Russian Federation","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Identification (biology); Saint petersburg; Russian federation; Instrumentation (computer programming); Business cluster; Industrial organization; Computer science; Business; Regional science; Economic geography; Operations research; Geography; Engineering; Physics","score_opus":0.021951235855095896,"score_gpt":0.20071994019303693,"score_spread":0.17876870433794104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160891811","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":[0.96910167,0.00001071217,0.01945811,0.0032247715,0.000053450825,0.0001040136,0.000014233557,0.0000021391913,0.0080309305],"genre_scores_gemma":[0.9995785,0.0000060891057,0.000036265992,0.00025570515,0.000013273767,0.00001036424,0.0000015974082,0.00000269818,0.00009555923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999228,0.000009576753,0.00036330931,0.0002438099,0.00007093763,0.00008435931],"domain_scores_gemma":[0.99917907,0.00003586917,0.00040285007,0.00034483278,0.00001233763,0.000025022962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093426945,0.000058498867,0.00018359606,0.00020763637,0.0002122057,0.00007164563,0.00029529992,0.00004701593,0.0000150927435],"category_scores_gemma":[0.00002415188,0.000039581068,0.000069116366,0.0004310832,0.00030546193,0.000070069334,0.00006610961,0.00008238909,0.000003577901],"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":[0.0000051478924,0.000029099234,0.018200602,0.0000037234345,0.00006478853,4.0572936e-9,0.00038334308,0.007575262,0.0031970004,0.9687827,0.000009804093,0.0017485276],"study_design_scores_gemma":[0.000065494874,0.0000077768755,0.20470256,0.0000024965611,0.000025045332,5.0306983e-8,0.000027803306,0.75193924,0.001741329,0.04131141,0.00012399306,0.000052805226],"about_ca_topic_score_codex":0.00014800097,"about_ca_topic_score_gemma":0.00009503392,"teacher_disagreement_score":0.9274713,"about_ca_system_score_codex":0.000038937702,"about_ca_system_score_gemma":0.000015609401,"threshold_uncertainty_score":0.16321361},"labels":[],"label_agreement":null},{"id":"W2162144558","doi":"","title":"Les fluctuations de l'avantage comparatif : le commerce et la spécialisation industrielle des régions manufacturières au Canada, 1974 à 1999","year":2007,"lang":"fr","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.05404209167749316,"score_gpt":0.2696190272651698,"score_spread":0.21557693558767663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162144558","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":[0.7248973,0.0014332633,0.08259157,0.030664241,0.0006233514,0.00021358911,0.0005656788,0.000023403818,0.15898757],"genre_scores_gemma":[0.97369176,0.0009444597,0.0021325946,0.0012358532,0.0003642386,0.000010946854,0.0002693832,0.000033551038,0.021317217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772406,0.00009405005,0.0010372417,0.0004491425,0.00007607883,0.00061941025],"domain_scores_gemma":[0.998244,0.00062210317,0.00046351802,0.00034178465,0.00006517686,0.0002634474],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012242813,0.0002927635,0.00056954415,0.0003147769,0.0007972234,0.00021239727,0.0003131699,0.00030781663,0.0012511472],"category_scores_gemma":[0.00010776414,0.00038148585,0.00022450341,0.00030496737,0.00034931983,0.00034830315,0.00009087591,0.0003905844,0.000082181694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017413533,0.00018931265,0.13737532,0.000025065292,0.00023557077,0.000015312422,0.0011254381,0.01205612,0.0000103462025,0.8205947,0.016444713,0.011910645],"study_design_scores_gemma":[0.00041023293,0.000029735691,0.43718383,0.000027694026,0.000042312535,0.000011793038,0.0010003867,0.013268635,0.00023002876,0.013254106,0.5341126,0.00042868868],"about_ca_topic_score_codex":0.9864605,"about_ca_topic_score_gemma":0.99381846,"teacher_disagreement_score":0.8073406,"about_ca_system_score_codex":0.0013242288,"about_ca_system_score_gemma":0.0010331691,"threshold_uncertainty_score":0.9998637},"labels":[],"label_agreement":null},{"id":"W2162185876","doi":"10.1177/0160017611403141","title":"Neighborhood and Efficiency in Manufacturing in Brazilian Regions","year":2011,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Economic geography; Markov chain; Economics; Econometrics; Geography; Mathematics; Statistics","score_opus":0.061111828389811426,"score_gpt":0.2637713421247615,"score_spread":0.20265951373495006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162185876","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":[0.46837658,0.07956289,0.0023580429,0.07224368,0.0010057335,0.0011079222,0.000052625743,0.000052971878,0.37523955],"genre_scores_gemma":[0.95349276,0.04444376,0.00029213322,0.0015405159,0.000029653103,0.000025571206,0.000003821752,0.000006562661,0.00016523911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99846435,0.000010345274,0.0006453952,0.0005196082,0.000102192345,0.00025811707],"domain_scores_gemma":[0.999407,0.00003604694,0.00023472062,0.00018640894,0.00003303391,0.00010278512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010340475,0.000121523524,0.0003220453,0.0005985448,0.000061863066,0.00004287748,0.0005695981,0.000035363813,0.00031285186],"category_scores_gemma":[0.00013345033,0.00012300431,0.0000909196,0.0004881164,0.00025794288,0.000475743,0.000110388486,0.00012568769,0.00011204819],"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":[0.0000057032457,0.00010019633,0.07065837,0.000040556406,0.000009480194,0.000013550976,0.00015042229,0.000020801386,0.000004297394,0.9244738,0.00011649078,0.0044063083],"study_design_scores_gemma":[0.00064493745,0.000050465213,0.5324682,0.0010181123,0.0000065196673,0.00008076652,0.000048978833,0.006743952,0.000029731147,0.38886636,0.06948694,0.00055506715],"about_ca_topic_score_codex":0.0014380771,"about_ca_topic_score_gemma":0.0004900101,"teacher_disagreement_score":0.53560746,"about_ca_system_score_codex":0.00020105003,"about_ca_system_score_gemma":0.00005157773,"threshold_uncertainty_score":0.50159705},"labels":[],"label_agreement":null},{"id":"W2162702513","doi":"10.25336/p60p65","title":"Growth Pattern of Cities in India: Application of Statistical Models","year":2010,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Distribution (mathematics); Pareto principle; Econometrics; Population; Population size; Probabilistic logic; Geography; Statistical model; Pareto distribution; Economic geography; Statistics; Mathematics; Demography; Sociology","score_opus":0.03646490331007573,"score_gpt":0.24603847204393087,"score_spread":0.20957356873385513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162702513","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":[0.9942231,0.00026354555,0.00271122,0.00018662265,0.0001228963,0.00011392634,0.00022127155,0.0000016956449,0.002155696],"genre_scores_gemma":[0.9994827,0.000121603036,0.0002437889,0.000039827173,0.000021455695,0.000020090838,0.00005629668,0.00000595595,0.0000083175055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914527,0.0000061452624,0.0005598002,0.00015429841,0.00001897277,0.00011551083],"domain_scores_gemma":[0.9995623,0.000041812298,0.00020865093,0.000111943664,0.0000355027,0.00003977908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002247675,0.00006149452,0.00031748717,0.0005095728,0.000019271933,0.0000039275383,0.00007607198,0.00006055991,0.000016310436],"category_scores_gemma":[0.000067513945,0.00007561793,0.00003164082,0.00018132693,0.00007000133,0.00009015506,0.000013713982,0.00007903452,0.0000034186169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012953604,0.0000068817967,0.56553984,0.000018642602,0.000012721709,3.8229786e-7,0.00030016137,0.0005396354,0.0000013350533,0.4326265,0.000013182844,0.0009394133],"study_design_scores_gemma":[0.00012296633,0.000008108981,0.7082682,0.0000067567744,0.0000022857605,1.934334e-7,0.00014011913,0.034793284,0.0000034319714,0.25654367,0.00004207205,0.000068894034],"about_ca_topic_score_codex":0.44635206,"about_ca_topic_score_gemma":0.65694815,"teacher_disagreement_score":0.2105961,"about_ca_system_score_codex":0.0001254971,"about_ca_system_score_gemma":0.000018512874,"threshold_uncertainty_score":0.5573347},"labels":[],"label_agreement":null},{"id":"W2163771349","doi":"10.1177/0042098011431281","title":"The Geography of Intrametropolitan KIBS Innovation: Distinguishing Agglomeration Economies from Innovation Dynamics","year":2012,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":76,"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":"Economies of agglomeration; Economic geography; Neighbourhood (mathematics); Business; Geography; Economics; Economic growth","score_opus":0.0445538027997148,"score_gpt":0.2502061815149025,"score_spread":0.20565237871518768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163771349","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":[0.965961,0.01761921,0.0032440235,0.0026092564,0.00095308945,0.00013789303,0.00021532772,0.00002435834,0.009235861],"genre_scores_gemma":[0.9972969,0.0010867425,0.0005955196,0.00016120067,0.0005011383,0.000024606063,0.00012855847,0.000014236526,0.00019105524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983365,0.000015277225,0.0011418997,0.00022185381,0.000038558475,0.0002459434],"domain_scores_gemma":[0.998223,0.00025956784,0.0009894907,0.00026397218,0.00024085949,0.000023108265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075222366,0.00015083338,0.000435184,0.0004243147,0.00036066954,0.00009227609,0.00017420205,0.00005873412,0.000023965285],"category_scores_gemma":[0.00048757647,0.00013530461,0.00010294813,0.00092440343,0.00022217278,0.0003558326,0.000083600135,0.00010478814,0.000028229078],"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":[0.0000049704563,0.000020230147,0.40919513,0.0000072435996,0.00028898258,4.2812662e-8,0.00027341544,0.000027794547,0.0000013305485,0.58819854,0.00076933095,0.0012129847],"study_design_scores_gemma":[0.0005880296,0.00008932479,0.4161693,0.000036758007,0.00007217667,7.7952745e-7,0.0033012459,0.010974599,0.0001219655,0.50057477,0.06742976,0.00064130797],"about_ca_topic_score_codex":0.00092524075,"about_ca_topic_score_gemma":0.0002696502,"teacher_disagreement_score":0.08762377,"about_ca_system_score_codex":0.0002191972,"about_ca_system_score_gemma":0.000010459504,"threshold_uncertainty_score":0.5517562},"labels":[],"label_agreement":null},{"id":"W2164133535","doi":"10.2139/ssrn.898696","title":"Understanding the Inputs into Innovation: Do Cities Substitute for Internal Firm Resources?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"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":"Business; Industrial organization","score_opus":0.05419301774600813,"score_gpt":0.24300394138629886,"score_spread":0.18881092364029073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164133535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39471242,0.002529806,0.5907731,0.006156783,0.00040428241,0.0001230162,0.000008154234,0.0000119856095,0.005280438],"genre_scores_gemma":[0.9957496,0.0012893323,0.00018138558,0.00047930298,0.00062117464,0.0000067048572,0.0000069690377,0.00002151574,0.001643993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977647,0.000009714142,0.00082093844,0.00024195388,0.000058322414,0.0011043358],"domain_scores_gemma":[0.9989527,0.000117468255,0.00062927644,0.00017358085,0.00007739684,0.000049591574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045230514,0.00014935619,0.00027702664,0.00046839713,0.000559736,0.00024684172,0.00041659552,0.00008190063,0.000052633168],"category_scores_gemma":[0.0001071554,0.00012915667,0.0002132243,0.00041738924,0.000097628465,0.00024069363,0.000043110005,0.000733868,0.000029659705],"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":[0.00007092657,0.000012268547,0.008514795,0.0000039391775,0.00025321078,9.719332e-7,0.0005090391,0.00024650447,0.0000068077607,0.9886148,0.0002017719,0.0015649481],"study_design_scores_gemma":[0.00052002183,0.00012008068,0.0011468712,0.000011139446,0.000012885989,0.000053831198,0.0016001121,0.0010319193,0.000013018062,0.9608778,0.034434218,0.00017815476],"about_ca_topic_score_codex":0.00021523543,"about_ca_topic_score_gemma":0.0023472256,"teacher_disagreement_score":0.6010372,"about_ca_system_score_codex":0.0016560922,"about_ca_system_score_gemma":0.00020355258,"threshold_uncertainty_score":0.5266856},"labels":[],"label_agreement":null},{"id":"W2165357590","doi":"10.15353/rea.v3i1.1375","title":"California Dreamin’: The Feeble Case for Cluster Policies","year":2011,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Geography; Political science; Computer science","score_opus":0.06050894963500742,"score_gpt":0.2577796100551554,"score_spread":0.19727066042014796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165357590","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":[0.36048537,0.35780013,0.08411086,0.027500303,0.0009853737,0.004476371,0.008941845,0.000114068825,0.15558568],"genre_scores_gemma":[0.94885486,0.0456063,0.0013541474,0.0024165877,0.00015016885,0.00016170995,0.00010428982,0.000034105993,0.0013178383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977851,0.000027116697,0.0014826301,0.00042076354,0.00001943733,0.0002649431],"domain_scores_gemma":[0.99788934,0.00013941989,0.0011284793,0.00070318434,0.00005150779,0.00008805123],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012915299,0.00020379563,0.0012895216,0.0003505282,0.00014490375,0.000031087962,0.00041370888,0.000068055626,0.0020045782],"category_scores_gemma":[0.000073298055,0.00016688337,0.0015546904,0.00035738994,0.000121398254,0.00012597162,0.00007585182,0.00006834858,0.00040250248],"study_design_candidate":"theoretical_or_conceptual","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":[0.000047972375,0.00021709873,0.07327895,0.0021199055,0.013529578,0.0000095284895,0.00068523246,0.0018169164,0.0000010052161,0.8894111,0.015173576,0.0037091507],"study_design_scores_gemma":[0.0016244578,0.00028168366,0.008224641,0.00053631247,0.010216157,0.00018787845,0.0005957925,0.2183083,0.0000841434,0.113673806,0.64418525,0.0020816168],"about_ca_topic_score_codex":0.008227275,"about_ca_topic_score_gemma":0.0019596505,"teacher_disagreement_score":0.7757373,"about_ca_system_score_codex":0.000113293034,"about_ca_system_score_gemma":0.000030746698,"threshold_uncertainty_score":0.99890774},"labels":[],"label_agreement":null},{"id":"W216671121","doi":"","title":"High Tech Services Diffusion Points to a New Urban Hierarchy : The Case of Large French Cities/ la Diffusion Des Services De Haute Technologie et Les Changements De la Hierarchie Urbaine","year":2005,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urban hierarchy; Hierarchy; Humanities; Economic geography; Sociology; Political science; Geography; Regional science; Population; Art","score_opus":0.017721368874582227,"score_gpt":0.2372295760660897,"score_spread":0.21950820719150746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W216671121","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":[0.91994375,0.00925829,0.002672247,0.06703616,0.00019272916,0.00014257948,0.00021772752,0.0000058892897,0.0005306401],"genre_scores_gemma":[0.9827332,0.0034654504,0.009708756,0.0021535186,0.00031466485,0.000005521464,0.0000055991563,0.000021295391,0.0015919987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766773,0.00012641323,0.00081687816,0.00040773937,0.000159236,0.000822016],"domain_scores_gemma":[0.9973671,0.0002565085,0.0008774488,0.00036782195,0.00021064254,0.00092050346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00348271,0.0002617947,0.0005197297,0.0014266812,0.00079373765,0.0003500198,0.0014769018,0.00022952452,0.00018661037],"category_scores_gemma":[0.0001479397,0.000238554,0.00024206335,0.0012268344,0.0013189135,0.0006079532,0.00021549917,0.00051235995,0.000011951026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006849418,0.00040090166,0.22814064,0.00033660053,0.00034596346,0.0013123614,0.037639763,0.008038425,0.0005493177,0.609831,0.005334849,0.10800169],"study_design_scores_gemma":[0.0019273142,0.0005776049,0.2292255,0.0015988203,0.00013792969,0.0037850959,0.004623913,0.036309704,0.00024048016,0.13319077,0.5874371,0.00094580377],"about_ca_topic_score_codex":0.21098343,"about_ca_topic_score_gemma":0.22962262,"teacher_disagreement_score":0.58210224,"about_ca_system_score_codex":0.0008397377,"about_ca_system_score_gemma":0.0013314871,"threshold_uncertainty_score":0.972795},"labels":[],"label_agreement":null},{"id":"W2167329470","doi":"10.3386/w20235","title":"Transportation Costs and the Spatial Organization of Economic Activity","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":264,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Economic geography; Natural resource economics; Regional science; Geography","score_opus":0.16780299203931856,"score_gpt":0.39662026354334035,"score_spread":0.22881727150402179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167329470","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34291798,0.0031302646,0.0022932517,0.012022979,0.0024394344,0.0028972921,0.0042030583,0.000042839,0.6300529],"genre_scores_gemma":[0.9924512,0.004675299,0.00005452819,0.000020797559,0.0006049373,0.00004840938,0.0007068986,0.00005597021,0.0013819811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968993,0.00012586032,0.0016699544,0.00071502884,0.00029118854,0.0002986516],"domain_scores_gemma":[0.99565053,0.0010322405,0.0019370359,0.00042615394,0.00085675204,0.000097304495],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006854747,0.00027430014,0.0013355596,0.00094126165,0.00017660669,0.00008759096,0.00053468574,0.00042030445,0.0008580195],"category_scores_gemma":[0.0007459167,0.0002687985,0.00033352926,0.00019074678,0.00073716557,0.00021906091,0.00008261176,0.00047041016,0.00015112008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011932204,0.000053676846,0.013964929,0.00014510284,0.00048443448,3.0639046e-7,0.000091812064,0.0017577495,0.000011979458,0.97803146,0.0033821864,0.0019570251],"study_design_scores_gemma":[0.00493523,0.0002475429,0.065736845,0.00016542058,0.00013870285,0.000013535572,0.00007752581,0.04360866,0.00055047334,0.8478466,0.035657763,0.001021698],"about_ca_topic_score_codex":0.064660564,"about_ca_topic_score_gemma":0.0078033493,"teacher_disagreement_score":0.6495332,"about_ca_system_score_codex":0.0015658349,"about_ca_system_score_gemma":0.0011128079,"threshold_uncertainty_score":0.9999764},"labels":[],"label_agreement":null},{"id":"W2167683892","doi":"10.1093/restud/rds010","title":"Urban Growth and Transportation","year":2012,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":923,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Estimation; Stock (firearms); Instrumental variable; Economics; Econometrics; Transport engineering; Economic geography; Geography; Engineering","score_opus":0.05546680710541231,"score_gpt":0.26187603785717095,"score_spread":0.20640923075175865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167683892","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.094411485,0.8918952,0.000035861034,0.005798703,0.00023945823,0.00018443118,0.000066475164,0.0000068080913,0.007361581],"genre_scores_gemma":[0.5903673,0.4089615,0.000048493184,0.00042336638,0.000093692666,0.000016909893,0.000004255033,0.0000057431607,0.000078726574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907583,0.000011448991,0.00062563986,0.00013941553,0.000010281362,0.00013735451],"domain_scores_gemma":[0.9992659,0.000093824936,0.00042827884,0.00016210087,0.000013370902,0.000036523445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063302484,0.0001014457,0.0005883992,0.000048684386,0.00006654495,0.000006111996,0.00011119854,0.000019287918,0.00007773024],"category_scores_gemma":[0.000048375685,0.00007818018,0.00015053264,0.000046530808,0.00011653946,0.00014673574,0.000019227225,0.000040101346,0.0000952633],"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":[0.0000027828446,0.000015319598,0.06693584,0.0011278143,0.00038660626,5.600579e-8,0.0005667412,0.0000023617883,0.000001057551,0.9253761,0.0049575567,0.0006277757],"study_design_scores_gemma":[0.0013417802,0.00020428933,0.3429651,0.0030931444,0.0008126859,0.000013777727,0.0014351746,0.00054163777,0.00020954253,0.1944939,0.45329443,0.0015945394],"about_ca_topic_score_codex":0.0001725453,"about_ca_topic_score_gemma":0.000022739188,"teacher_disagreement_score":0.73088217,"about_ca_system_score_codex":0.00003105504,"about_ca_system_score_gemma":0.0000051199663,"threshold_uncertainty_score":0.3188095},"labels":[],"label_agreement":null},{"id":"W2168707163","doi":"10.1162/rest_a_00660","title":"Roads, Railroads, and Decentralization of Chinese Cities","year":2017,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":723,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Lincoln Institute of Land Policy","keywords":"Decentralization; Transportation infrastructure; Economic geography; Ring road; Central city; Geography; Service (business); Population; Ring (chemistry); Business; Transport engineering; Regional science; Economy; Economics; Engineering; Archaeology; Market economy","score_opus":0.027883685978891046,"score_gpt":0.2473253782658285,"score_spread":0.21944169228693747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168707163","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68361074,0.2802895,0.013321937,0.0075982795,0.00042646544,0.0006700608,0.003298891,0.000007228012,0.010776912],"genre_scores_gemma":[0.455871,0.5425747,0.0012590837,0.00014108288,0.00002460059,0.0000035462451,0.000022032968,0.000007740555,0.00009625573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897933,0.000010987406,0.00072279124,0.00017333803,0.000011682615,0.000101853024],"domain_scores_gemma":[0.99827105,0.00008405244,0.0011728306,0.0003851281,0.000040960123,0.00004595246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005242421,0.0001126174,0.0006238074,0.000046727906,0.00015640873,0.000059461945,0.00022197927,0.00003253675,0.00006285235],"category_scores_gemma":[0.00020330986,0.00009204814,0.00007236726,0.000022241833,0.00026070053,0.00011055055,0.000093955765,0.0000423509,0.0000040097707],"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":[0.000004812689,0.0000114159475,0.028626436,0.00072470517,0.0000823758,1.2682477e-7,0.000071985196,0.000040307303,4.6351371e-7,0.96331537,0.00022962132,0.0068923985],"study_design_scores_gemma":[0.00057034526,0.00008598312,0.14545238,0.00051782484,0.00008901532,0.000007365527,0.000035392284,0.044336487,0.000009022089,0.77475226,0.033790648,0.00035327653],"about_ca_topic_score_codex":0.0005420083,"about_ca_topic_score_gemma":0.00015999516,"teacher_disagreement_score":0.2622852,"about_ca_system_score_codex":0.0000114327795,"about_ca_system_score_gemma":0.000016416614,"threshold_uncertainty_score":0.3753614},"labels":[],"label_agreement":null},{"id":"W2168821080","doi":"10.1177/0042098009349024","title":"The Occupation—Industry Mismatch: New Trajectories for Regional Cluster Analysis and Economic Development","year":2009,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cluster (spacecraft); Cluster analysis; Economic geography; Business cluster; Work (physics); Regional science; Economics; Sociology; Engineering; Computer science; Mechanism (biology)","score_opus":0.06364165372888626,"score_gpt":0.2635907863767135,"score_spread":0.19994913264782727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168821080","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":[0.8823637,0.042351834,0.011820875,0.05925622,0.0006339806,0.00064149767,0.0001171017,0.00006160924,0.0027531812],"genre_scores_gemma":[0.98459417,0.0017409056,0.0023320066,0.0011957657,0.00045041696,0.000050519695,0.000030923646,0.000013524018,0.009591743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987561,0.000007176499,0.00060908287,0.00037165242,0.000025654695,0.00023033634],"domain_scores_gemma":[0.99917597,0.00020260684,0.00030768008,0.00019681653,0.00003798347,0.000078920166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034271416,0.00016966338,0.00050270464,0.00019002502,0.00051097805,0.00012541033,0.00014984085,0.0000912587,0.000018943541],"category_scores_gemma":[0.000051365845,0.00014276449,0.00021498128,0.00015622983,0.00008479134,0.00011800396,0.000033663935,0.00008704674,0.00002759673],"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":[0.00015367968,0.000058342062,0.3461716,0.000019666211,0.008016161,7.3177677e-7,0.004674981,0.0015070997,0.0000012967993,0.4563926,0.16852532,0.014478546],"study_design_scores_gemma":[0.00087011606,0.00009199878,0.30036998,0.000008970997,0.0002716383,0.0000015898278,0.00069678394,0.004914345,0.000029971015,0.10462923,0.5875738,0.0005415673],"about_ca_topic_score_codex":0.00019761614,"about_ca_topic_score_gemma":0.0014681094,"teacher_disagreement_score":0.4190485,"about_ca_system_score_codex":0.00014647364,"about_ca_system_score_gemma":0.00004836124,"threshold_uncertainty_score":0.5821767},"labels":[],"label_agreement":null},{"id":"W2174510168","doi":"10.1086/676557","title":"Coagglomeration, Clusters, and the Scale and Composition of Cities","year":2014,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Composition (language); Diversity (politics); Economic geography; Feature (linguistics); Scale (ratio); Hierarchical clustering; Polar; Regional science; Geography; Computer science; Cluster analysis; Sociology; Artificial intelligence; Physics; Cartography","score_opus":0.011806191691107516,"score_gpt":0.19917554227107115,"score_spread":0.18736935057996362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174510168","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":[0.8986774,0.0010272497,0.014792323,0.036094725,0.00014573304,0.00009676864,0.000026008174,0.000002710513,0.049137093],"genre_scores_gemma":[0.9981161,0.00009851125,0.00039482673,0.0011600577,0.00017027184,0.0000013202337,0.0000014177115,0.000004851533,0.000052647705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990292,0.000027199567,0.00071587967,0.00009261355,0.000016596934,0.00011851581],"domain_scores_gemma":[0.99908227,0.00021469757,0.0004638647,0.000082196355,0.000057603527,0.00009939431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006797316,0.00006917638,0.0004442445,0.00012147622,0.000062052706,0.000064549284,0.000080351674,0.00003959738,0.00003700864],"category_scores_gemma":[0.00004160241,0.000054792657,0.000111455025,0.000030283036,0.00035421815,0.00017657265,0.000029171993,0.000082275415,0.000004420234],"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":[0.0000292557,0.000013170669,0.00815305,0.000014939263,0.00005506555,1.3951896e-7,0.00009205904,0.000029903591,0.0000022462546,0.99135065,0.00009932749,0.00016018422],"study_design_scores_gemma":[0.0019276639,0.0001390334,0.013636441,0.000019252582,0.000041384486,0.000053123546,0.00019691394,0.0340443,0.00006875093,0.9390055,0.010741352,0.00012627013],"about_ca_topic_score_codex":0.00019721015,"about_ca_topic_score_gemma":0.00001727671,"teacher_disagreement_score":0.09943871,"about_ca_system_score_codex":0.000026939791,"about_ca_system_score_gemma":0.000011826057,"threshold_uncertainty_score":0.22343796},"labels":[],"label_agreement":null},{"id":"W2176025085","doi":"10.19030/jabr.v3i2.6539","title":"Intermetropolitan Comparisons Of Production Function","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Business Research (JABR)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Returns to scale; Production (economics); Econometrics; Elasticity of substitution; Production function; Constant elasticity of substitution; Scale (ratio); Function (biology); Economics; Cobb–Douglas production function; Elasticity (physics); Variable (mathematics); Scale effects; Constant (computer programming); Substitution (logic); Output elasticity; Mathematics; Microeconomics; Computer science; Geography; Physics","score_opus":0.14929352391668121,"score_gpt":0.29174938803556155,"score_spread":0.14245586411888034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176025085","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":[0.84890383,0.0007541541,0.017233292,0.0015684745,0.0009417332,0.00028085167,0.00002422641,0.000008212398,0.1302852],"genre_scores_gemma":[0.9974295,0.00045828053,0.0015087258,0.000018612787,0.0003499339,0.000006204635,0.000004073025,0.000017694763,0.00020695975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981712,0.000022946737,0.0011403644,0.00024135991,0.00015019238,0.00027394315],"domain_scores_gemma":[0.9978007,0.00004498271,0.0009987797,0.00027966415,0.0007671104,0.00010874886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020334194,0.00011541341,0.0005835165,0.001295247,0.00010620205,0.00004237404,0.0003610595,0.00008444909,0.0005885035],"category_scores_gemma":[0.00018482794,0.00010995952,0.00017709922,0.0009900945,0.00023503529,0.0002742364,0.0000819055,0.00035586886,0.00012326513],"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":[0.0017669739,0.0011540084,0.030445188,0.00015965904,0.0007677132,0.000009316531,0.0007005462,0.0009422408,0.002225812,0.9434257,0.011027908,0.007374945],"study_design_scores_gemma":[0.0019894233,0.0009242896,0.45129657,0.00014410121,0.000096640455,0.00004468461,0.0025117574,0.0024501083,0.0060480866,0.40262425,0.13120288,0.0006672037],"about_ca_topic_score_codex":0.00077226484,"about_ca_topic_score_gemma":0.000067294,"teacher_disagreement_score":0.54080147,"about_ca_system_score_codex":0.00018441724,"about_ca_system_score_gemma":0.00012921618,"threshold_uncertainty_score":0.64437},"labels":[],"label_agreement":null},{"id":"W2195650834","doi":"10.1007/978-981-10-6286-5_8","title":"Hub-Periphery Development Pattern and Inclusive Growth: Case Study of Guangdong Province","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"China; Comparative advantage; Inclusive growth; Sustainable development; Economic geography; Production (economics); Business; Economy; Geography; Economic system; Economic growth; International trade; Political science; Economics","score_opus":0.03886217208869303,"score_gpt":0.2235995791314133,"score_spread":0.18473740704272026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2195650834","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31041092,0.0013296797,0.0006009901,0.00033761832,0.00024879773,0.0008711192,0.00016329833,0.000023032462,0.68601453],"genre_scores_gemma":[0.8508921,0.00035678982,0.00015422885,0.00009248096,0.00009491135,0.000019747984,0.000021321772,0.00005093714,0.14831744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99791694,0.000004986335,0.0011120364,0.0007204296,0.000053045853,0.00019254856],"domain_scores_gemma":[0.99781907,0.000040270363,0.0013869867,0.0005568957,0.00008718505,0.00010961125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002985255,0.00036423028,0.0010705496,0.0003284086,0.00028311246,0.00011058321,0.00032403832,0.00021830318,0.00046963856],"category_scores_gemma":[0.000019424151,0.00038762175,0.00015798744,0.000011151107,0.0001078738,0.00015516055,0.00048331777,0.00019170697,0.000089800466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058022186,0.00077366794,0.10842337,0.0007007476,0.0037428283,0.004586595,0.0073757754,0.000048092013,0.0000014758351,0.79268634,0.0011451797,0.08045788],"study_design_scores_gemma":[0.012829944,0.003639948,0.024938354,0.0010291265,0.0011289375,0.0033436788,0.008416052,0.007185649,0.000085864165,0.3535819,0.5705486,0.013271924],"about_ca_topic_score_codex":0.010887725,"about_ca_topic_score_gemma":0.018578326,"teacher_disagreement_score":0.5694034,"about_ca_system_score_codex":0.00014257529,"about_ca_system_score_gemma":0.00008529675,"threshold_uncertainty_score":0.99985754},"labels":[],"label_agreement":null},{"id":"W2208313495","doi":"10.2139/ssrn.787727","title":"An Experiment with Cross-Entropy Minimization: Estimation Interregional Trade Flows in Quebec","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Cross entropy; Minification; Econometrics; Cross-validation; Mathematics; Estimation; Environmental science; Statistics; Economics; Principle of maximum entropy; Mathematical optimization","score_opus":0.011834868332326888,"score_gpt":0.23505037916792246,"score_spread":0.22321551083559557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208313495","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":[0.8982799,0.0015718386,0.09419438,0.005192022,0.00008790918,0.0001080541,0.0000064759965,0.000014477035,0.00054491917],"genre_scores_gemma":[0.9961559,0.0007381589,0.0019474326,0.00019203844,0.00025417536,0.000014283235,0.0000319197,0.00002261983,0.000643478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809104,0.0000204261,0.0006578781,0.0003116296,0.000058467645,0.00086056447],"domain_scores_gemma":[0.9993562,0.000013371152,0.00034550816,0.00017034513,0.000019903644,0.000094649644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056778576,0.0001628074,0.00030300685,0.0002981501,0.00012832668,0.00021366113,0.00024535062,0.00007173762,0.0001911118],"category_scores_gemma":[0.000010248054,0.00016091608,0.00011575306,0.00016853059,0.000044921853,0.00079004833,0.000011742348,0.00048901344,0.00005728815],"study_design_candidate":"simulation_or_modeling","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":[0.00014530281,0.00029177518,0.021840388,0.0000024919725,0.00014878056,0.0000031032955,0.0006671397,0.20109639,0.000016013535,0.76546377,0.000036829657,0.010287993],"study_design_scores_gemma":[0.0027688628,0.00056640944,0.013566986,0.00002360154,0.000016317106,0.00016774848,0.0009364376,0.8334593,0.00008774328,0.13913018,0.008682527,0.0005938662],"about_ca_topic_score_codex":0.0023828286,"about_ca_topic_score_gemma":0.056499586,"teacher_disagreement_score":0.63236296,"about_ca_system_score_codex":0.0016541398,"about_ca_system_score_gemma":0.0003727005,"threshold_uncertainty_score":0.96071684},"labels":[],"label_agreement":null},{"id":"W2210886336","doi":"","title":"Economies urbaines et productivite","year":2007,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02939887503449026,"score_gpt":0.22078064052429974,"score_spread":0.19138176548980948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210886336","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45855552,0.0008835069,0.03253372,0.013988434,0.00046313842,0.00015839368,0.000032100685,0.0000788051,0.4933064],"genre_scores_gemma":[0.9822713,0.00013430105,0.0021902553,0.0012336968,0.00020723765,0.0000060067246,0.0000118192775,0.000017133814,0.01392821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988309,0.0000039017186,0.00052812597,0.00038034606,0.00001384055,0.00024285328],"domain_scores_gemma":[0.99937797,0.0000514357,0.00020413085,0.00026675116,0.00002099603,0.00007871173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010204208,0.000121172154,0.00031446063,0.00025314646,0.00006453484,0.00007310563,0.00015217485,0.000052944466,0.0007146796],"category_scores_gemma":[0.0000508355,0.00012842345,0.00015574739,0.00013784356,0.00004600198,0.00027936028,0.00004347991,0.00007141414,0.001089893],"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":[0.000008376034,0.00003662432,0.042128164,0.0000036198876,0.00005459095,0.0000014859401,0.000080219244,0.00013454379,0.000016957085,0.9550209,0.0014487761,0.0010657333],"study_design_scores_gemma":[0.00036267814,0.000051598876,0.09264979,0.0000032984622,0.0000063102098,0.0000070164424,0.00007433943,0.0027739413,0.00046543605,0.3696499,0.53347504,0.0004806548],"about_ca_topic_score_codex":0.000778995,"about_ca_topic_score_gemma":0.00057389896,"teacher_disagreement_score":0.585371,"about_ca_system_score_codex":0.000053929078,"about_ca_system_score_gemma":0.000010041713,"threshold_uncertainty_score":0.99968785},"labels":[],"label_agreement":null},{"id":"W2214972767","doi":"10.1093/jeg/lbw006","title":"International trade and local labor markets: Do foreign and domestic shocks affect regions differently?","year":2016,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Wage; International economics; International trade; Labour economics","score_opus":0.01134386094921306,"score_gpt":0.2091539428101997,"score_spread":0.19781008186098664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2214972767","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":[0.9699171,0.0031319337,0.007415551,0.013627532,0.00056752475,0.00010822534,0.00019649183,0.000008584338,0.005027025],"genre_scores_gemma":[0.99079955,0.008358095,0.00030249587,0.0001772026,0.00024612923,0.0000049142664,0.0000026449072,0.000018577637,0.000090421294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985255,0.000020167234,0.0008824138,0.00031844035,0.00003238204,0.00022106776],"domain_scores_gemma":[0.9986131,0.00018190483,0.0008054457,0.00017383868,0.000016171547,0.00020949947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049063034,0.00019215916,0.0005865689,0.0007132371,0.00007812242,0.00013021892,0.00024994527,0.00009924013,0.0002976461],"category_scores_gemma":[0.000040246632,0.00015455531,0.00033882714,0.000069426846,0.00022427345,0.00039234286,0.00006484902,0.00012404348,0.00001445722],"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":[0.00014777716,0.00007520763,0.664323,0.000014432601,0.000828224,0.0000157567,0.000058500173,0.000055034798,0.000017852242,0.31884235,0.0013514509,0.01427041],"study_design_scores_gemma":[0.0025396808,0.00025516143,0.70349866,0.000083619896,0.00007122759,0.00023894466,0.00012332572,0.0018124166,0.00001045386,0.24568035,0.045274872,0.00041126274],"about_ca_topic_score_codex":0.00004783032,"about_ca_topic_score_gemma":0.000023812327,"teacher_disagreement_score":0.07316201,"about_ca_system_score_codex":0.00010325417,"about_ca_system_score_gemma":0.000019408524,"threshold_uncertainty_score":0.63025826},"labels":[],"label_agreement":null},{"id":"W2219332181","doi":"","title":"Urban Productivity: Who Benefits from Agglomeration Economies?","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"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":"Economies of agglomeration; Externality; Productivity; Economic geography; Cluster analysis; Cluster (spacecraft); Industrial organization; Business; Space (punctuation); Economics; Microeconomics; Economic growth","score_opus":0.04745715110693813,"score_gpt":0.26011388539942,"score_spread":0.21265673429248186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219332181","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":[0.8782695,0.0024289133,0.000019417419,0.0035724135,0.0011557501,0.0012417032,0.0012802669,0.00005972872,0.11197233],"genre_scores_gemma":[0.96417123,0.023951806,0.0005985621,0.00025930538,0.0016717266,0.0008265946,0.0008458503,0.00018246022,0.007492456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9935545,0.0001414537,0.002251336,0.0027776454,0.00011058568,0.0011644815],"domain_scores_gemma":[0.9957363,0.00038471268,0.0012124068,0.002132029,0.00015882034,0.00037575042],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021148708,0.0007010423,0.0020094134,0.0015239979,0.0003044307,0.0008996016,0.0013025102,0.0009061957,0.0012014824],"category_scores_gemma":[0.00043374984,0.0009093253,0.0006282362,0.00024745552,0.00035515276,0.0005986574,0.0013923835,0.0019133546,0.0007811636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023028004,0.0011525438,0.25264338,0.0003466399,0.002350499,0.000031067495,0.0020840273,0.11609381,0.00003649209,0.3515563,0.006209254,0.26726574],"study_design_scores_gemma":[0.0019033795,0.00022419065,0.1406565,0.00037882806,0.000045419565,0.000005567428,0.00032449883,0.2630866,0.00014836698,0.29567507,0.29425496,0.003296602],"about_ca_topic_score_codex":0.008199212,"about_ca_topic_score_gemma":0.003812378,"teacher_disagreement_score":0.2880457,"about_ca_system_score_codex":0.0019178566,"about_ca_system_score_gemma":0.00031651967,"threshold_uncertainty_score":0.99999684},"labels":[],"label_agreement":null},{"id":"W2225469077","doi":"","title":"Productivite urbaine: qui profite des economies d'agglomeration?","year":2013,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03924025463155266,"score_gpt":0.2733176686867448,"score_spread":0.2340774140551921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225469077","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":[0.87030727,0.0050285133,0.000065219596,0.011419653,0.0021538811,0.002496538,0.00068232877,0.000065113796,0.107781515],"genre_scores_gemma":[0.80602247,0.09971143,0.0043246523,0.00033599293,0.0019616308,0.0019506491,0.00051751,0.00032383009,0.08485182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98928607,0.00040488772,0.0038782074,0.0037786716,0.00016904027,0.0024831272],"domain_scores_gemma":[0.9937938,0.0007535755,0.0017733505,0.0026193373,0.00042764575,0.0006322979],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005082763,0.0011997139,0.0028651755,0.002365976,0.00084865576,0.0014356893,0.0018762873,0.0012501769,0.0023835606],"category_scores_gemma":[0.0009365678,0.0016048357,0.001114054,0.0006361825,0.0021274511,0.001348855,0.0017504453,0.002725142,0.0017399256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002179413,0.0013086264,0.27801937,0.00093026675,0.0018991524,0.000043014566,0.0028542632,0.11541816,0.00007067692,0.38613394,0.0011495296,0.21195507],"study_design_scores_gemma":[0.0020710006,0.0004887316,0.12362133,0.00061498536,0.00006865826,0.00004687284,0.0015074626,0.23009121,0.0001702826,0.21745238,0.42040417,0.0034629293],"about_ca_topic_score_codex":0.0047478303,"about_ca_topic_score_gemma":0.004181553,"teacher_disagreement_score":0.41925463,"about_ca_system_score_codex":0.0045495676,"about_ca_system_score_gemma":0.0006913559,"threshold_uncertainty_score":0.9996009},"labels":[],"label_agreement":null},{"id":"W2228105736","doi":"","title":"Villes et croissance : Choix du lieu de residence selon le capital humain : le role des attraits urbains et de la densite des marches du travail","year":2012,"lang":"fr","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02309129033005415,"score_gpt":0.2302797444903848,"score_spread":0.20718845416033066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228105736","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":[0.9001292,0.04550816,0.019634731,0.011372403,0.00014910783,0.00015402453,0.00015672958,0.00004425818,0.022851365],"genre_scores_gemma":[0.9459487,0.025148151,0.012178177,0.001171002,0.00039361976,0.000036346344,0.000027066593,0.00007843613,0.015018479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99689376,0.00038957575,0.00088797905,0.00064987806,0.00006991401,0.0011089026],"domain_scores_gemma":[0.9979798,0.0006841617,0.00042491793,0.00038822152,0.00009016192,0.00043274256],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003883246,0.0004303222,0.00076004956,0.00029234335,0.0006890109,0.0004751378,0.0004757888,0.0003871415,0.00031429908],"category_scores_gemma":[0.0004301903,0.0005432825,0.00045197678,0.00030025272,0.0010639785,0.001308749,0.00018922961,0.00042364962,0.00020975337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029102679,0.00038778147,0.52453995,0.00006697505,0.0002044121,0.00001262114,0.007728674,0.0028840054,0.00032376163,0.45862252,0.002911859,0.0022883231],"study_design_scores_gemma":[0.0006306055,0.00008946671,0.8839734,0.000104421495,0.000047217873,0.00011660349,0.0022481477,0.015814556,0.00054346654,0.053266425,0.04240867,0.00075702305],"about_ca_topic_score_codex":0.09659462,"about_ca_topic_score_gemma":0.06156682,"teacher_disagreement_score":0.4053561,"about_ca_system_score_codex":0.0005419147,"about_ca_system_score_gemma":0.00039701725,"threshold_uncertainty_score":0.99970186},"labels":[],"label_agreement":null},{"id":"W2233150409","doi":"","title":"The Determinants of Agglomeration Redux: Transportation, Trade, and Input-Output Linkages","year":2014,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Economies of agglomeration; Pooling; Economic geography; Economics; Competition (biology); Upstream (networking); International trade; Panel data; Downstream (manufacturing); Industrial organization; Econometrics; Microeconomics","score_opus":0.021445461065573032,"score_gpt":0.2217689537148824,"score_spread":0.20032349264930938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233150409","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":[0.9849407,0.0065791197,0.00070841314,0.001836698,0.0015525107,0.00043309736,0.0007771605,0.000035183893,0.003137119],"genre_scores_gemma":[0.9924941,0.0053337626,0.00041273417,0.0001937897,0.0003533083,0.000087568995,0.00013548201,0.00005376645,0.0009354717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99630934,0.00005943223,0.0021845975,0.0009808706,0.00007819722,0.00038756293],"domain_scores_gemma":[0.99632007,0.00031374078,0.0022651656,0.00084294466,0.00007718589,0.0001809035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011248844,0.000473938,0.0013840222,0.00040015535,0.00035046716,0.00021831857,0.0006494997,0.00050427293,0.0001289512],"category_scores_gemma":[0.00013876786,0.00047339307,0.000528642,0.00012620533,0.00056636543,0.00019112971,0.000108726985,0.000502684,0.00008516565],"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":[0.000020779504,0.00006424711,0.9574678,0.00017465731,0.00034740134,0.0000036141087,0.00050282746,0.0006680166,0.0000060975185,0.03544093,0.0020284096,0.00327523],"study_design_scores_gemma":[0.00095178344,0.000145092,0.8749226,0.00018791412,0.00016179838,0.000014579138,0.00011617464,0.024481334,0.00015867915,0.045406036,0.052283075,0.0011709856],"about_ca_topic_score_codex":0.00056181406,"about_ca_topic_score_gemma":0.0017883261,"teacher_disagreement_score":0.08254524,"about_ca_system_score_codex":0.0001432067,"about_ca_system_score_gemma":0.00016618619,"threshold_uncertainty_score":0.9997718},"labels":[],"label_agreement":null},{"id":"W2233708532","doi":"10.1007/s11067-015-9285-7","title":"The Multiregional Core-periphery Model: The Role of the Spatial Topology","year":2015,"lang":"en","type":"article","venue":"Networks and Spatial Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":39,"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":"Ministerio de Ciencia e Innovación; York University","keywords":"Centrality; Economies of agglomeration; Core (optical fiber); Network topology; Topology (electrical circuits); Graph theory; Space (punctuation); Network theory; Computer science; Graph; Mathematics; Engineering; Theoretical computer science; Combinatorics","score_opus":0.027916269758813794,"score_gpt":0.20121727741149759,"score_spread":0.1733010076526838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233708532","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":[0.8844284,0.014192136,0.04758779,0.018221602,0.003374605,0.0009514477,0.0002324896,0.000039856295,0.03097169],"genre_scores_gemma":[0.9964804,0.0018530795,0.000071016555,0.0006341572,0.000538985,0.000029929173,0.000010738455,0.000026035816,0.00035563306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984001,0.00003311883,0.0008136708,0.00037386513,0.000036724276,0.00034252985],"domain_scores_gemma":[0.99842566,0.00018176447,0.0006553001,0.0005546852,0.000058045793,0.00012451452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072172156,0.00021251959,0.00046330882,0.00004038589,0.00045623383,0.000116377596,0.0006189584,0.00016959284,0.000024322944],"category_scores_gemma":[0.00006333235,0.00013439926,0.0002690046,0.00008385866,0.0005773364,0.000094038594,0.00025974627,0.00025161763,0.000012745212],"study_design_candidate":"simulation_or_modeling","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":[0.00009148835,0.000034809305,0.037570268,0.0000019200174,0.00015951993,2.2745367e-7,0.0002849249,0.36352357,9.004285e-7,0.57613295,0.0005398697,0.021659574],"study_design_scores_gemma":[0.00032923397,0.000038389615,0.0036834418,0.000002655524,0.000017226906,0.000004108621,0.00010994952,0.826886,0.000003801447,0.11718675,0.051586952,0.0001514676],"about_ca_topic_score_codex":0.011952291,"about_ca_topic_score_gemma":0.015702737,"teacher_disagreement_score":0.46336246,"about_ca_system_score_codex":0.00009092147,"about_ca_system_score_gemma":0.000089524074,"threshold_uncertainty_score":0.9946272},"labels":[],"label_agreement":null},{"id":"W2234467814","doi":"","title":"Assessing the effects of local taxation using microgeographic data","year":2006,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Leverhulme Trust","keywords":"Endogeneity; Economics; Econometrics; Work (physics); Instrumental variable; Public economics","score_opus":0.0974928259149806,"score_gpt":0.37288005133775787,"score_spread":0.27538722542277727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234467814","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":[0.98852974,0.0023230542,0.00059644785,0.0040086256,0.00048563757,0.0007192641,0.0014454502,0.0000087582675,0.0018830425],"genre_scores_gemma":[0.9915811,0.004963486,0.002571704,0.0002530475,0.00042635278,0.000015165237,0.00010461808,0.000043828077,0.00004073974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99125546,0.00016738345,0.0031898697,0.002309723,0.00029348704,0.002784058],"domain_scores_gemma":[0.99102086,0.0015562392,0.0021662568,0.0021040444,0.00075380906,0.002398763],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.011949425,0.0005947379,0.0020025382,0.0022630692,0.0007484329,0.0012918038,0.003596701,0.00048642428,0.000063685],"category_scores_gemma":[0.0038619854,0.0005473638,0.00040268135,0.0011493061,0.014500931,0.0018309827,0.0047686305,0.0013626232,0.000013534411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030221892,0.00026170595,0.044939358,0.00032453088,0.00010468735,0.0000017813013,0.00002039078,0.0016617711,0.00027669294,0.9515553,0.000032753815,0.0007907985],"study_design_scores_gemma":[0.0010084094,0.00031902973,0.14136004,0.00028719215,0.00010996712,0.000021440348,0.0004063893,0.38762045,0.0016449129,0.46545026,0.00094171305,0.00083018595],"about_ca_topic_score_codex":0.048781883,"about_ca_topic_score_gemma":0.00112036,"teacher_disagreement_score":0.48610505,"about_ca_system_score_codex":0.0010434457,"about_ca_system_score_gemma":0.0039057452,"threshold_uncertainty_score":0.99974495},"labels":[],"label_agreement":null},{"id":"W2236255890","doi":"10.32920/ryerson.14669205.v1","title":"Modelling Innovation Support Systems for Development","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Typology; Conceptualization; Knowledge management; Framing (construction); Cluster analysis; Regional science; Business; Computer science; Data science; Sociology; Geography; Artificial intelligence","score_opus":0.12414039751676421,"score_gpt":0.24352841665830666,"score_spread":0.11938801914154244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236255890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07948877,0.0011254728,0.90434384,0.0005206516,0.001086822,0.0004143052,0.00011786878,0.000031607527,0.012870664],"genre_scores_gemma":[0.95684934,0.0006835853,0.029382972,0.0002708875,0.00031860024,0.00044494154,0.0024207926,0.000052503052,0.009576392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975321,0.000004526424,0.0014962852,0.0007035706,0.000031905074,0.00023158813],"domain_scores_gemma":[0.99856055,0.00002787634,0.0007923254,0.00035914377,0.00021367085,0.000046433648],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068888033,0.00022543414,0.00075357564,0.00047094873,0.00009975338,0.00037406903,0.00024284731,0.00027219206,0.00022979891],"category_scores_gemma":[0.00002371301,0.00027451865,0.00022316856,0.00018566582,0.000013257268,0.00009562448,0.00020951687,0.00016729998,0.00009120006],"study_design_candidate":"simulation_or_modeling","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":[0.0000035601342,0.00003177567,0.00044375967,0.00014909382,0.00024223002,7.020462e-7,0.00012235141,0.48996574,4.411984e-7,0.50808865,0.00075338705,0.00019827731],"study_design_scores_gemma":[0.00015505837,0.000009347186,0.0000375601,0.000027877644,0.000010538376,7.934658e-7,0.00005460705,0.8478519,0.000018909412,0.022083458,0.12936795,0.00038201406],"about_ca_topic_score_codex":0.0013191126,"about_ca_topic_score_gemma":0.000049311322,"teacher_disagreement_score":0.8773606,"about_ca_system_score_codex":0.000239664,"about_ca_system_score_gemma":0.00019453024,"threshold_uncertainty_score":0.9999707},"labels":[],"label_agreement":null},{"id":"W2238969721","doi":"","title":"The City as a Small Open Economy","year":2014,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Amenity; Productivity; Production (economics); Public good; Local government; Small open economy; Wage; Economics; Public sector; Function (biology); Production function; Labour economics; Business; Economy; Economic growth; Geography; Microeconomics; Monetary economics; Finance","score_opus":0.0412203316267346,"score_gpt":0.234601006771021,"score_spread":0.1933806751442864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238969721","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":[0.5837856,0.00395431,0.0011529728,0.0075968206,0.003515043,0.0011674715,0.00045674812,0.000093109,0.3982779],"genre_scores_gemma":[0.96895176,0.0021560737,0.0010213503,0.0031868133,0.0015419237,0.0007606593,0.00022573752,0.00017768108,0.021978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937813,0.00012474161,0.0027891765,0.002237996,0.000049013324,0.00101774],"domain_scores_gemma":[0.99294645,0.00061952724,0.0030774456,0.0026758024,0.00015695959,0.0005238339],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003027157,0.00095581333,0.0023790763,0.0005134144,0.0010227646,0.0023321935,0.004336676,0.00082433823,0.0033376983],"category_scores_gemma":[0.00038356948,0.0009678412,0.0013569632,0.00018866718,0.0007105749,0.00036903328,0.003221678,0.001362023,0.0064751455],"study_design_candidate":"theoretical_or_conceptual","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":[0.000050037914,0.00011754211,0.3441556,0.000058614496,0.0010420752,0.000010204098,0.00013348929,0.00045463062,5.4733914e-7,0.63922536,0.013934301,0.0008175945],"study_design_scores_gemma":[0.0007404032,0.00007611559,0.016338194,0.00005995398,0.0000700996,0.000026799165,0.00005404622,0.005906834,0.000010951075,0.42568782,0.5497673,0.0012614615],"about_ca_topic_score_codex":0.009403515,"about_ca_topic_score_gemma":0.006821478,"teacher_disagreement_score":0.535833,"about_ca_system_score_codex":0.00087449467,"about_ca_system_score_gemma":0.00066929474,"threshold_uncertainty_score":0.99927723},"labels":[],"label_agreement":null},{"id":"W2239774686","doi":"","title":"Nursery cities Urban diversity, process innovation and life-cycle products","year":2000,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Relocation; Production (economics); Diversity (politics); Process (computing); Ideal (ethics); Welfare; Business; Economic geography; Industrial organization; Economics; Market economy; Microeconomics; Computer science; Political science","score_opus":0.07454336149660558,"score_gpt":0.33032554799253355,"score_spread":0.255782186495928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239774686","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":[0.9712309,0.001187341,0.000011003208,0.013723236,0.00034404287,0.00070168474,0.0015329862,0.000016848939,0.011251907],"genre_scores_gemma":[0.98979235,0.007885323,0.00063116406,0.00066999934,0.0006084564,0.000027553664,0.000062346575,0.00004279544,0.00027999913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9915518,0.00008354754,0.0026762772,0.0024838918,0.00028411575,0.0029203407],"domain_scores_gemma":[0.9928811,0.0004811679,0.0009903696,0.0010532902,0.0010399132,0.0035541167],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007719647,0.00063932774,0.0019230248,0.0031998646,0.0010784966,0.0011919147,0.0019313341,0.0004909916,0.00023797853],"category_scores_gemma":[0.0034552559,0.00068678125,0.0002261393,0.0014119613,0.010569239,0.001702266,0.0036682724,0.0013392991,0.00004335778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009676468,0.00021437801,0.048832756,0.00023409651,0.000077129596,0.0000014901708,0.000108333355,0.0005388591,0.000021835816,0.9493279,0.000060660583,0.0004858017],"study_design_scores_gemma":[0.0010510817,0.00043963917,0.10039132,0.0001430252,0.00004887511,0.000015921476,0.0007230762,0.045460112,0.00038051693,0.8486811,0.0016880061,0.000977331],"about_ca_topic_score_codex":0.011143532,"about_ca_topic_score_gemma":0.00035827,"teacher_disagreement_score":0.1006468,"about_ca_system_score_codex":0.0009564538,"about_ca_system_score_gemma":0.0039623375,"threshold_uncertainty_score":0.99984497},"labels":[],"label_agreement":null},{"id":"W2240402991","doi":"","title":"A Macro-level Approach to Examining Canada’s Primary Industry Towns in a Knowledge Economy","year":2007,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Regina; Nipissing University","funders":"","keywords":"Primary sector of the economy; Census; Macro level; Economy; Knowledge economy; Economic base analysis; Macro; Economic geography; Geography; Economic growth; Business; Tertiary sector of the economy; Economics; Sociology; Economic system; Population; Demography","score_opus":0.07226754994034788,"score_gpt":0.22693172351203603,"score_spread":0.15466417357168816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240402991","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":[0.9557195,0.00046967607,0.0013641742,0.00053667283,0.000088103596,0.000066665445,0.00000716957,0.0000020086907,0.04174607],"genre_scores_gemma":[0.99587494,0.000051106133,0.0028271356,0.0006339046,0.000050668838,0.0000031424386,0.000007572229,0.000008701364,0.00054282334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985641,0.00003775717,0.0010257994,0.00008749883,0.000035579887,0.0002492418],"domain_scores_gemma":[0.9990744,0.000113547634,0.00040386282,0.00013699298,0.000057444217,0.00021372897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021671453,0.00014021982,0.0004975012,0.0003877706,0.00019965865,0.00005349737,0.00032523004,0.000101004036,0.00002028006],"category_scores_gemma":[0.00003879428,0.00014170613,0.00004987903,0.00019523005,0.000025253003,0.00014819289,0.00017235732,0.00083228335,0.0000050252847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034248058,0.0019409837,0.68720263,0.00026965947,0.0009050594,0.00005171775,0.045574248,0.001341313,0.000048640308,0.038904082,0.004529503,0.21888965],"study_design_scores_gemma":[0.0006352565,0.00007684532,0.93765396,0.000060858834,0.000005336302,0.00005643745,0.0076313326,0.00013054025,0.000032952077,0.002058379,0.051351245,0.0003068357],"about_ca_topic_score_codex":0.088288486,"about_ca_topic_score_gemma":0.24051036,"teacher_disagreement_score":0.25045133,"about_ca_system_score_codex":0.0006682488,"about_ca_system_score_gemma":0.0004246252,"threshold_uncertainty_score":0.91778266},"labels":[],"label_agreement":null},{"id":"W2241303939","doi":"10.22004/ag.econ.132288","title":"Assessing the Growth of the New Economy across Canadian Cities and Regions: 1990-2000","year":2004,"lang":"en","type":"article","venue":"˜The œjournal of regional analysis & policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Urban hierarchy; Metropolitan area; Economies of agglomeration; Economic geography; Economy; Empirical research; Hierarchy; Urbanization; Technological change; Economics; Geography; Economic growth; Market economy; Population","score_opus":0.028367895930136913,"score_gpt":0.25610357293003894,"score_spread":0.22773567699990202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241303939","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":[0.76817685,0.006693924,0.0042311596,0.21568152,0.00014509121,0.00018046451,0.00007505533,0.000005910363,0.004810027],"genre_scores_gemma":[0.9938876,0.001255437,0.000111535184,0.0033780795,0.00051893573,0.0000023975192,0.0000043413193,0.000016920496,0.00082477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980563,0.000063665815,0.0011565335,0.0002330722,0.00010832057,0.00038209066],"domain_scores_gemma":[0.99722403,0.00019839719,0.0016774536,0.0004683291,0.00017700966,0.00025479042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011308736,0.00022148993,0.0007346617,0.000718684,0.000608541,0.00026981602,0.0009403137,0.00009834709,0.000039165294],"category_scores_gemma":[0.000076222306,0.00013352006,0.000957762,0.0014473012,0.0005300121,0.0004065261,0.00009605246,0.00030905494,0.000010558841],"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":[0.000029597504,0.00005922812,0.08993543,0.000017040933,0.00451243,0.000007641574,0.004564252,0.022489835,0.0000056506988,0.8746934,0.0028903962,0.0007951291],"study_design_scores_gemma":[0.00095666666,0.00007080465,0.19129384,0.000057986927,0.0008586137,0.00025422132,0.0024261582,0.0028877622,0.00001659613,0.7142276,0.086513765,0.00043597893],"about_ca_topic_score_codex":0.40143418,"about_ca_topic_score_gemma":0.17985967,"teacher_disagreement_score":0.22571073,"about_ca_system_score_codex":0.0004439015,"about_ca_system_score_gemma":0.0010737337,"threshold_uncertainty_score":0.8351058},"labels":[],"label_agreement":null},{"id":"W2242986388","doi":"","title":"Strength in Numbers? The Weak Effect of Manufacturing Clusters on Canadian Productivity","year":2013,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Productivity; Manufacturing; Distribution (mathematics); Economic geography; Business; Cluster analysis; Multifactor productivity; Manufacturing sector; Labour economics; Economics; Industrial organization; Total factor productivity; Economic growth; Marketing","score_opus":0.014959141074679824,"score_gpt":0.1980833868593199,"score_spread":0.18312424578464007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242986388","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":[0.9531817,0.00013985948,0.000012141504,0.030601189,0.00046209322,0.00038783255,0.000057719542,0.000006334731,0.015151137],"genre_scores_gemma":[0.99792135,0.00011404152,0.000025544676,0.0016290287,0.000094282,0.00004995551,0.000041627445,0.00001159057,0.00011255805],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895084,0.000029848581,0.00040662207,0.00030704294,0.000031786196,0.00027383165],"domain_scores_gemma":[0.9992263,0.00007537194,0.00018767477,0.00039715486,0.00000788064,0.00010562411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920488,0.00016118457,0.00037098187,0.00028057318,0.00013282993,0.000035071233,0.00032324964,0.00005351372,0.00020909867],"category_scores_gemma":[0.000026577767,0.0001360432,0.00013022048,0.00012630806,0.00010973057,0.00031297916,0.000058910504,0.00019806463,0.00015381293],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017999933,0.00051880156,0.78384954,0.0002111669,0.000962789,0.00003086591,0.0013608192,0.027489517,0.000022384384,0.05138516,0.072402544,0.061586417],"study_design_scores_gemma":[0.0032864679,0.00059729646,0.3433003,0.00016464846,0.000052975287,0.000009620421,0.0003943596,0.011973918,0.0035988947,0.014024694,0.6213525,0.001244328],"about_ca_topic_score_codex":0.49651214,"about_ca_topic_score_gemma":0.30464634,"teacher_disagreement_score":0.54894996,"about_ca_system_score_codex":0.00033073427,"about_ca_system_score_gemma":0.000020751839,"threshold_uncertainty_score":0.708042},"labels":[],"label_agreement":null},{"id":"W2244059574","doi":"","title":"When spatial equilibrium fails: is place-based policy second best?","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Prosperity; Economics; Politics; Productivity; General equilibrium theory; Empirical evidence; Public economics; Macroeconomics; Political science; Economic growth","score_opus":0.05694131909599302,"score_gpt":0.293664702245817,"score_spread":0.23672338314982394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244059574","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":[0.5963869,0.0028609517,0.00025110223,0.014423403,0.0018681366,0.001874135,0.0031297547,0.00010715313,0.37909845],"genre_scores_gemma":[0.980107,0.0039392887,0.0010411207,0.0010609629,0.0020990958,0.00041360903,0.00040898536,0.00023604016,0.010693908],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9930473,0.00016961589,0.00243522,0.0022025267,0.00017470418,0.001970628],"domain_scores_gemma":[0.99525505,0.0004782893,0.0011762435,0.00225254,0.00014611988,0.00069172593],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0031130116,0.0008319877,0.002032523,0.0026864083,0.00023336937,0.0007815077,0.0018200184,0.001203594,0.0048062457],"category_scores_gemma":[0.00040585132,0.0010715101,0.0010089679,0.00030968475,0.00052506046,0.00049008144,0.0016709806,0.002305616,0.00094905053],"study_design_candidate":"not_applicable","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":[0.001982227,0.00582921,0.2660925,0.0037805983,0.0059956103,0.00021221074,0.009363011,0.11186974,0.00021623647,0.20409626,0.010032378,0.38053],"study_design_scores_gemma":[0.003203711,0.00030900486,0.00746858,0.0003218075,0.00005432587,0.000012150606,0.00048483416,0.24607874,0.00028494556,0.13059825,0.60778177,0.0034018955],"about_ca_topic_score_codex":0.009197965,"about_ca_topic_score_gemma":0.0039358106,"teacher_disagreement_score":0.59774935,"about_ca_system_score_codex":0.0028003901,"about_ca_system_score_gemma":0.0012010471,"threshold_uncertainty_score":0.9999961},"labels":[],"label_agreement":null},{"id":"W2244877063","doi":"10.2139/ssrn.1315985","title":"The Death and Life of a Reluctant Urban Icon: A Review Essay on Jane Jacobs: Urban Visionary by Alice Sparberg Alexiou (Toronto: Harpercollins Publishers, 2006)","year":2007,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"","keywords":"Icon; Alice (programming language); Art history; Art; Sociology; History; Computer science","score_opus":0.027773255155109457,"score_gpt":0.2664295859211496,"score_spread":0.23865633076604018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244877063","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020314297,0.9884501,0.00021375869,0.0016259634,0.00033670533,0.0006287834,0.00024613398,0.000013306226,0.008464927],"genre_scores_gemma":[0.00016010246,0.99089164,0.000030846797,0.00065843854,0.0006035119,0.000047087226,0.000119260236,0.00011000616,0.007379119],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936177,0.00016907766,0.003078224,0.0008984869,0.00020910252,0.002027392],"domain_scores_gemma":[0.99500364,0.00039520717,0.0032825505,0.0007913482,0.00013451808,0.0003927384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006514094,0.0007424291,0.00323699,0.00029103179,0.0004714205,0.00034971567,0.0011657885,0.00043859734,0.00021680915],"category_scores_gemma":[0.00035911804,0.00056527206,0.001365754,0.00041492158,0.00015216043,0.00054632453,0.00013474209,0.0022868314,0.00006883757],"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":[0.000049490685,0.00020349327,0.00014891138,0.0017021925,0.002574498,0.00000764511,0.00003719172,0.0000018473719,5.2107694e-8,0.7609156,0.037893947,0.19646516],"study_design_scores_gemma":[0.00034308797,0.00037529296,0.0000106600355,0.0034208526,0.00044987036,0.00015375334,0.000051696086,0.000048876536,4.3102887e-8,0.011850669,0.9827119,0.00058328244],"about_ca_topic_score_codex":0.001822701,"about_ca_topic_score_gemma":0.0012528212,"teacher_disagreement_score":0.94481796,"about_ca_system_score_codex":0.0025221745,"about_ca_system_score_gemma":0.0020551214,"threshold_uncertainty_score":0.99967986},"labels":[],"label_agreement":null},{"id":"W2249412289","doi":"","title":"Estimating Interregional Utility Differentials","year":2007,"lang":"en","type":"article","venue":"CIRJE F-Series","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Economics; Econometrics; Per capita; Per capita income; Macroeconomics; Population; Demography","score_opus":0.04416865952982407,"score_gpt":0.2362108370285159,"score_spread":0.19204217749869182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2249412289","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":[0.83276486,0.00075389765,0.12044127,0.0022404015,0.0012942046,0.00014006684,0.00009246354,0.000077476754,0.042195342],"genre_scores_gemma":[0.99341065,0.000044704175,0.0038154183,0.00018801073,0.00036923948,0.000008223394,0.000042460186,0.000019074723,0.0021022498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984467,0.000008003688,0.00077609846,0.0004093386,0.000037352464,0.00032249177],"domain_scores_gemma":[0.9991631,0.00004281528,0.0003371488,0.0003072441,0.00003487412,0.00011482038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062063156,0.00016989796,0.00045166368,0.00018500209,0.00017051693,0.000107470376,0.00024609163,0.00009102781,0.0011164463],"category_scores_gemma":[0.00012101824,0.0001901151,0.0002372909,0.00014857088,0.00014903942,0.00036758365,0.00009068359,0.00011958222,0.00037716614],"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":[0.000100928315,0.0001254124,0.15109815,0.000040065537,0.00021454346,0.000012954789,0.00043973644,0.000108121494,0.0000538169,0.83701205,0.0015464821,0.009247713],"study_design_scores_gemma":[0.0005613802,0.00012490091,0.4250072,0.000033047694,0.000020323938,0.000037145797,0.00024244284,0.015239266,0.0004608697,0.4814959,0.075982645,0.00079488504],"about_ca_topic_score_codex":0.00043722035,"about_ca_topic_score_gemma":0.0004140536,"teacher_disagreement_score":0.35551617,"about_ca_system_score_codex":0.00006221884,"about_ca_system_score_gemma":0.000013382474,"threshold_uncertainty_score":0.9997967},"labels":[],"label_agreement":null},{"id":"W2257616832","doi":"","title":"Villes et croissance: niveaux de gains selon les regions urbaines et rurales au Canada: le role du capital humain","year":2010,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Humanities; Political science; Geography","score_opus":0.029162016090891273,"score_gpt":0.2686258516609137,"score_spread":0.2394638355700224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257616832","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":[0.853554,0.0021004674,0.000115877774,0.04851192,0.00093457167,0.00068479456,0.0013365343,0.000033986464,0.09272783],"genre_scores_gemma":[0.92901295,0.05721657,0.0012345253,0.0005563029,0.0008615848,0.00029541776,0.000499693,0.00018848643,0.010134495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99298817,0.00048736148,0.0022278915,0.0021189016,0.00018310202,0.0019945996],"domain_scores_gemma":[0.99496794,0.0013118106,0.0012278398,0.0015995881,0.00025659412,0.0006362152],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004767192,0.00089692697,0.0019648098,0.0010899057,0.0012454136,0.0005349628,0.001778232,0.0012132707,0.00033849673],"category_scores_gemma":[0.001075248,0.0012056746,0.0008221521,0.00031906617,0.0011622859,0.0004481738,0.0012786982,0.0035184824,0.000038231665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00009005241,0.00040277388,0.16774818,0.00014850304,0.0005688641,0.00008205453,0.0018756005,0.07788442,0.000081166654,0.74224067,0.0008243093,0.008053386],"study_design_scores_gemma":[0.0019688467,0.0002038121,0.21279858,0.0004925653,0.0000551595,0.00011261503,0.008349076,0.14038102,0.00010231701,0.121362664,0.5112434,0.0029299248],"about_ca_topic_score_codex":0.8633285,"about_ca_topic_score_gemma":0.9828544,"teacher_disagreement_score":0.62087804,"about_ca_system_score_codex":0.005608135,"about_ca_system_score_gemma":0.007415733,"threshold_uncertainty_score":0.9990393},"labels":[],"label_agreement":null},{"id":"W2261335618","doi":"10.1093/ej/ueaa111","title":"The Geography of Unconventional Innovation","year":2020,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ewing Marion Kauffman Foundation","keywords":"Economic geography; Relation (database); Set (abstract data type); Field (mathematics); Geography; Computer science; Data mining; Mathematics","score_opus":0.034733181366510324,"score_gpt":0.20719241354249332,"score_spread":0.172459232175983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261335618","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":[0.9051979,0.002097518,0.004096702,0.07111998,0.0008711661,0.00013179496,0.00007699822,0.000010517594,0.016397426],"genre_scores_gemma":[0.99774104,0.0007504575,0.00007060393,0.0007960831,0.00052584533,0.0000036901772,0.0000049000614,0.00001031061,0.00009708681],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867475,0.000019101712,0.0009777152,0.00014399028,0.000025368392,0.0001590453],"domain_scores_gemma":[0.9986529,0.00009267384,0.0009957991,0.00016185277,0.000042481297,0.000054297314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010433915,0.00008997445,0.00024560612,0.00010998407,0.00034003778,0.00012534413,0.00046337594,0.000034703757,0.00050762657],"category_scores_gemma":[0.00005787362,0.00006292137,0.0002654348,0.00017667198,0.00014047592,0.00015281852,0.000050956693,0.00019678098,0.00032149942],"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":[0.000032943564,0.00000856277,0.032080874,0.000002732556,0.00027119508,4.2665593e-7,0.00009781548,0.004746965,0.0000067911174,0.9570457,0.0041719517,0.0015340453],"study_design_scores_gemma":[0.00070041494,0.000109716166,0.040470965,0.000006010434,0.00002270603,0.000025585243,0.00016329477,0.046444166,0.000058493235,0.6861142,0.2256594,0.00022504145],"about_ca_topic_score_codex":0.0000930686,"about_ca_topic_score_gemma":0.000014192671,"teacher_disagreement_score":0.27093148,"about_ca_system_score_codex":0.00007073167,"about_ca_system_score_gemma":0.00005810567,"threshold_uncertainty_score":0.55581546},"labels":[],"label_agreement":null},{"id":"W2267453057","doi":"","title":"On the growth dynamics of cities and regions - seven lessons. A Canadian perspective with thoughts on regional Australia","year":2013,"lang":"en","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Metropolitan area; SWORD; Economic geography; Publishing; Project commissioning; Economies of agglomeration; Perspective (graphical); Regional science; Geography; Economic growth; Political science; Economics; Engineering; Law","score_opus":0.0835524835860081,"score_gpt":0.2875354343160084,"score_spread":0.20398295073000033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267453057","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30789402,0.000093133625,0.00041528817,0.6693616,0.0005471014,0.0011556922,0.0028849517,0.0000074925024,0.017640729],"genre_scores_gemma":[0.990287,0.000023490586,0.00015535115,0.00033474492,0.00010197027,0.00014818305,0.00016055444,0.000013645313,0.008775064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982324,0.00003642457,0.0003214954,0.0005606956,0.00041079475,0.00043815357],"domain_scores_gemma":[0.9977633,0.0004433358,0.00018686266,0.00028774803,0.001064772,0.00025402333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011055757,0.00015727601,0.0002563454,0.0006289978,0.0010732559,0.00030815534,0.00042651154,0.00006028293,0.00009734434],"category_scores_gemma":[0.00050806394,0.00012489069,0.00007444743,0.0006281782,0.00088785426,0.00025029053,0.000039298186,0.0002473655,0.000014773755],"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":[0.00001740467,0.000023281784,0.0004620343,0.000008140179,0.00009071109,0.0000017637801,0.00011838302,0.0017855804,9.5288027e-7,0.9315504,0.065932,0.000009374357],"study_design_scores_gemma":[0.00042256675,0.00016173151,0.013449243,0.000059454,0.000007165958,0.000005268509,0.0013139483,0.027066734,0.00003518374,0.8296503,0.1274883,0.0003401108],"about_ca_topic_score_codex":0.982427,"about_ca_topic_score_gemma":0.9995917,"teacher_disagreement_score":0.68239295,"about_ca_system_score_codex":0.0019283107,"about_ca_system_score_gemma":0.0027747105,"threshold_uncertainty_score":0.82547253},"labels":[],"label_agreement":null},{"id":"W2274343820","doi":"10.6000/1927-5129.2016.12.05","title":"Urban Development and Industrial Clustering in Pakistan: A Study Based on Geographical Perspective","year":2016,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Economic geography; Population; Product (mathematics); Business; Geography; Space (punctuation); Economic growth; Economy; Regional science; Economics","score_opus":0.048757361667097945,"score_gpt":0.2566255335304976,"score_spread":0.20786817186339968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274343820","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":[0.9924734,0.000086548294,0.0011638025,0.0020233172,0.000105718595,0.000111391135,0.000002968137,0.0000022827478,0.004030572],"genre_scores_gemma":[0.9993446,0.000017543023,0.0004008324,0.00011500091,0.00009467039,0.0000055162104,6.7453335e-8,0.0000042634624,0.000017503293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877393,0.0000148204435,0.0006695008,0.0002769695,0.000094733274,0.00017007125],"domain_scores_gemma":[0.99923,0.0001282246,0.00045627376,0.00007788921,0.000026118916,0.00008149212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017938404,0.000101422724,0.00036091876,0.0006680313,0.00011372658,0.00008489778,0.00021293921,0.000045550147,0.000040528364],"category_scores_gemma":[0.000038113878,0.000071637034,0.00006697822,0.00034916593,0.00014918044,0.00011653142,0.00003505619,0.00012380247,0.0000067670226],"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":[0.0003669599,0.00070608786,0.82697636,0.000004029175,0.00011743626,0.000022921233,0.002463287,0.0013131854,0.00005316383,0.15240373,0.00014509588,0.01542773],"study_design_scores_gemma":[0.018804763,0.004343033,0.85395086,0.00028742765,0.000055447734,0.000022749759,0.01849517,0.020095786,0.000307061,0.065695144,0.016341468,0.0016011174],"about_ca_topic_score_codex":0.00010486763,"about_ca_topic_score_gemma":0.00025866763,"teacher_disagreement_score":0.08670858,"about_ca_system_score_codex":0.00015980561,"about_ca_system_score_gemma":0.00009004006,"threshold_uncertainty_score":0.29212734},"labels":[],"label_agreement":null},{"id":"W2277029655","doi":"","title":"The Determinants of Destination Choice: An Econometric Analysis of Intermetropolitan and International Migratory Flows in Canada","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Logit; Census; Immigration; Econometrics; Logistic regression; Population; Variable (mathematics); Geography; Ordered logit; Econometric model; Variables; Econometric analysis; Economics; Regional science; Statistics; Demography; Sociology; Mathematics","score_opus":0.010282534499042147,"score_gpt":0.21536813456036497,"score_spread":0.20508560006132281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277029655","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":[0.99627787,0.0027228456,0.0002786966,0.00019038848,0.00010001289,0.000039370134,0.000046324913,9.190949e-7,0.00034357602],"genre_scores_gemma":[0.99773425,0.0020344574,0.00003160134,0.000012326598,0.000048389476,0.0000026254158,0.0000119464785,0.0000075062608,0.00011690204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982991,0.000024861725,0.00094607123,0.000184956,0.00004807406,0.0004969368],"domain_scores_gemma":[0.99883145,0.00011341325,0.00080877467,0.00014102367,0.0000645574,0.00004076831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011593179,0.00009800167,0.00040496042,0.0011002478,0.00007291619,0.000036256326,0.00030370805,0.000034482226,0.000019335946],"category_scores_gemma":[0.00008979218,0.000090858615,0.00013268602,0.00069996994,0.000048422535,0.00019500479,0.00002726088,0.00025236342,5.8241545e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010525217,0.000030255618,0.8993434,0.0000018900339,0.00029924486,3.9714848e-7,0.000012537523,0.0019215365,0.000003382958,0.09405823,0.0000037796156,0.0043148613],"study_design_scores_gemma":[0.00031862658,0.000069723974,0.7719759,0.000004070916,0.00006166373,0.0000068566574,0.000500165,0.14363527,0.000014839659,0.08305325,0.00023983166,0.00011981992],"about_ca_topic_score_codex":0.7555622,"about_ca_topic_score_gemma":0.9935998,"teacher_disagreement_score":0.23803759,"about_ca_system_score_codex":0.0017324162,"about_ca_system_score_gemma":0.000657216,"threshold_uncertainty_score":0.4530208},"labels":[],"label_agreement":null},{"id":"W2278488316","doi":"10.1007/s11769-015-0750-5","title":"From sequential to parallel growth of cities: Theory and evidence from Canada","year":2015,"lang":"en","type":"article","venue":"Chinese Geographical Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Economic geography; Chemistry; Geography","score_opus":0.02626278907395926,"score_gpt":0.22933744246392992,"score_spread":0.20307465338997066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278488316","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":[0.99162966,0.0013797157,0.0028395639,0.0030582233,0.00026229105,0.0000750959,0.00018845046,0.0000073796195,0.0005596052],"genre_scores_gemma":[0.99846035,0.000107708525,0.00083949167,0.00042897672,0.00011722758,0.0000074202867,0.0000067673104,0.000005715386,0.000026311582],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99860704,0.000021345393,0.0004399463,0.0005596256,0.00012994898,0.00024209938],"domain_scores_gemma":[0.99874425,0.00025995515,0.00018253188,0.00029045242,0.000099040044,0.0004237971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010402775,0.00013413151,0.000384601,0.00022007957,0.000102892474,0.00009112536,0.00056836463,0.000045479166,0.0000953431],"category_scores_gemma":[0.0010146722,0.00011749727,0.00007929194,0.000871636,0.00049008057,0.00029366164,0.0002250871,0.00008703521,0.000012615395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060749142,0.000019659668,0.89231074,0.0000040756736,0.000040225175,0.0000028507436,0.00057193905,0.0002956002,0.0001210056,0.10626132,0.00015956373,0.00015226938],"study_design_scores_gemma":[0.00016291025,0.000033264376,0.4369597,0.000016729877,0.000005828795,4.378277e-7,0.00007268158,0.0027356504,0.000026575028,0.5596765,0.00014050899,0.00016919502],"about_ca_topic_score_codex":0.88402945,"about_ca_topic_score_gemma":0.28553,"teacher_disagreement_score":0.5984994,"about_ca_system_score_codex":0.00006903027,"about_ca_system_score_gemma":0.00020973608,"threshold_uncertainty_score":0.72750723},"labels":[],"label_agreement":null},{"id":"W2292563170","doi":"10.3141/2598-01","title":"Firm Births, Access to Transit, and Agglomeration in Portland, Oregon, and Dallas, Texas","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"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":"Metropolitan area; Economies of agglomeration; Business; Public transport; Service (business); Economic geography; Quarter (Canadian coin); Demographic economics; Economic growth; Labour economics; Transport engineering; Geography; Economics; Engineering; Marketing","score_opus":0.10151517763301054,"score_gpt":0.33847796341910413,"score_spread":0.2369627857860936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292563170","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":[0.9684682,0.0005565081,0.0023300077,0.027648276,0.00014751454,0.00055509614,0.00011890887,0.0000065949093,0.00016892797],"genre_scores_gemma":[0.9930108,0.005756645,0.00040464324,0.00012730222,0.00009271172,0.000034376317,0.0000072844973,0.0000305797,0.00053564884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99680185,0.00020282569,0.001485474,0.0004933175,0.00047599638,0.0005405069],"domain_scores_gemma":[0.9978884,0.0004597706,0.00039541977,0.00028199414,0.00061116554,0.0003632477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034902184,0.00018692944,0.0005424165,0.0015718444,0.00024507724,0.00021688407,0.0005717663,0.00013729763,0.00024959864],"category_scores_gemma":[0.00014861579,0.00013508632,0.00017472265,0.0012292679,0.0003150783,0.0008941439,0.000011414779,0.00059691345,0.00002500285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005365428,0.00008890771,0.96468693,0.00006886888,0.000083950035,0.000033025,0.00080481794,0.0002813595,0.0003721919,0.024121568,0.0012611161,0.007660744],"study_design_scores_gemma":[0.0013304186,0.00027558656,0.95719326,0.00016538092,0.000010120842,6.448351e-7,0.00014816072,0.00015263449,0.00014300346,0.020854043,0.019553678,0.00017307616],"about_ca_topic_score_codex":0.015637936,"about_ca_topic_score_gemma":0.1327084,"teacher_disagreement_score":0.11707047,"about_ca_system_score_codex":0.00016526226,"about_ca_system_score_gemma":0.00013781642,"threshold_uncertainty_score":0.990917},"labels":[],"label_agreement":null},{"id":"W2295713358","doi":"10.1007/s00168-016-0753-x","title":"From school to university to work: migration of highly educated youths in China","year":2016,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":100,"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 Lethbridge","funders":"National Key Research and Development Program of China; Ministry of Education, India; Ministry of Education of the People's Republic of China; Research Grants Council, University Grants Committee; Ministry of Earth Sciences; Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Microdata (statistics); Graduation (instrument); China; Vocational education; Beijing; Destinations; Wage; Demographic economics; Population; Higher education; Logit; Political science; Economic growth; Geography; Sociology; Labour economics; Economics; Demography; Census; Engineering; Tourism","score_opus":0.07010869399459244,"score_gpt":0.25802049400828087,"score_spread":0.18791180001368843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295713358","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":[0.9145341,0.000054956105,0.0008146055,0.083382085,0.000050158324,0.00008242634,0.000053291504,0.000002795749,0.0010255731],"genre_scores_gemma":[0.99829763,0.00014889213,0.00024974643,0.0005125297,0.000039204526,0.0000012412255,0.0000016332181,0.0000030050637,0.0007461045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991638,0.000012419728,0.0002973592,0.00028242386,0.00007116721,0.00017283519],"domain_scores_gemma":[0.9992284,0.000061984,0.00022133731,0.00027687734,0.000082900464,0.00012845767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007859406,0.00006876381,0.00022422023,0.00038526973,0.00006149754,0.000015092776,0.00063441833,0.000025452642,0.00007205678],"category_scores_gemma":[0.00014529961,0.000050435094,0.00008142877,0.0011397034,0.00019750436,0.00021121303,0.000099124474,0.000033540702,0.00012297388],"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":[0.0007585539,0.0003410113,0.31830037,0.000007677164,0.000103123864,0.0000023202897,0.0043003173,0.00494095,0.008905861,0.63336223,0.019078465,0.009899155],"study_design_scores_gemma":[0.00016749425,0.0000667302,0.94793266,0.000060518054,0.00000278454,2.2294192e-7,0.00016695553,0.0003314638,0.0017764672,0.03301018,0.016330153,0.00015436774],"about_ca_topic_score_codex":0.011235033,"about_ca_topic_score_gemma":0.00045404583,"teacher_disagreement_score":0.6296323,"about_ca_system_score_codex":0.000057276367,"about_ca_system_score_gemma":0.0000773884,"threshold_uncertainty_score":0.9953492},"labels":[],"label_agreement":null},{"id":"W2298261975","doi":"10.14288/1.0104682","title":"Optimum city size and municipal services efficiency: British Columbia as a case study","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.019634271344876632,"score_gpt":0.17250650133682574,"score_spread":0.1528722299919491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298261975","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":[0.9932272,0.00041014346,0.000041351614,0.000031470434,0.00009672223,0.00031911832,0.0003574937,0.000035400662,0.0054810974],"genre_scores_gemma":[0.99734825,0.00034504393,0.00030544642,0.00006741922,0.000021514228,0.0000017598306,0.0000071671548,0.000018057384,0.0018853436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985361,0.000030404906,0.00036679336,0.00070338976,0.00006179314,0.00030149988],"domain_scores_gemma":[0.99891806,0.000048934653,0.0003720282,0.0003647718,0.000092465394,0.00020371923],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040497657,0.00006670012,0.0006056262,0.000055362063,0.0005089174,0.0004846954,0.00040935585,0.00012521756,0.0013760763],"category_scores_gemma":[0.000025173433,0.0003031597,0.00019180166,0.00029064156,0.00027147937,0.00041969755,0.00028835086,0.00014329774,0.000042498665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016240427,0.0012036813,0.9577861,0.000083732186,0.00037860818,0.005472719,0.0045846105,0.000015797597,0.0000017655109,0.000035376455,0.00031321522,0.030108156],"study_design_scores_gemma":[0.0012647224,0.00028177115,0.98085314,0.00003495906,0.000060238934,0.00091820833,0.011005408,0.002252541,2.329471e-8,0.0026949544,0.0002936067,0.00034043702],"about_ca_topic_score_codex":0.98690456,"about_ca_topic_score_gemma":0.987337,"teacher_disagreement_score":0.02976772,"about_ca_system_score_codex":0.000062047126,"about_ca_system_score_gemma":0.000030779946,"threshold_uncertainty_score":0.99994206},"labels":[],"label_agreement":null},{"id":"W2303404657","doi":"10.1093/cjres/rsv025","title":"The view from a lucky country: explaining the localised unemployment impacts of the Great Recession in Canada","year":2015,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Unemployment; Recession; Great recession; Political science; Economic history; History; Economics; Economic growth; Keynesian economics","score_opus":0.026135781124332198,"score_gpt":0.2089286850346008,"score_spread":0.1827929039102686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303404657","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":[0.96597075,0.013845284,0.00030444685,0.017812584,0.00043771308,0.00015171067,0.000067993205,0.0000015493054,0.0014079817],"genre_scores_gemma":[0.99061716,0.008040523,0.00003275057,0.0010626309,0.0001232088,0.0000054301604,0.0000032768874,0.000009401445,0.0001056202],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861866,0.000054686898,0.0009120429,0.00015772488,0.000057687565,0.00019921694],"domain_scores_gemma":[0.998042,0.00027596188,0.0011790202,0.00028994074,0.00008105167,0.00013206631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011912207,0.0001339103,0.00047102958,0.000031626183,0.0002531141,0.000083764484,0.00041091957,0.00005844307,0.000006392434],"category_scores_gemma":[0.000081206446,0.00007617489,0.0002490602,0.00019431445,0.00017365566,0.00018489116,0.00008359133,0.0002609525,0.000001128017],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016683913,0.00009827889,0.6355846,0.000050665723,0.0013329189,0.000013784436,0.0050014597,0.0050401445,0.000006603085,0.17756969,0.1707483,0.004386744],"study_design_scores_gemma":[0.0029715097,0.0001284329,0.100831345,0.00031860018,0.00011497841,0.00005967167,0.014120839,0.031088049,0.00006548879,0.0179275,0.8318909,0.00048269515],"about_ca_topic_score_codex":0.2809153,"about_ca_topic_score_gemma":0.18180345,"teacher_disagreement_score":0.6611426,"about_ca_system_score_codex":0.00056488096,"about_ca_system_score_gemma":0.00069063774,"threshold_uncertainty_score":0.8331265},"labels":[],"label_agreement":null},{"id":"W2309991724","doi":"","title":"Knowledge neighbourhoods e struttura urbana: il contributo della evolutionary economic geography","year":2015,"lang":"it","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.030773487422240474,"score_gpt":0.22612106327063103,"score_spread":0.19534757584839055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309991724","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3681303,0.06738921,0.0072563775,0.016299477,0.009386906,0.001361551,0.0066401316,0.0002797718,0.5232563],"genre_scores_gemma":[0.977426,0.004224127,0.0007777136,0.00049501506,0.0014962152,0.000050845116,0.00038462185,0.00010645338,0.015039016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945533,0.000086488435,0.0024234175,0.0016267386,0.000096115175,0.0012138842],"domain_scores_gemma":[0.9960883,0.00022453,0.001177804,0.0011101315,0.00026748836,0.0011317368],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012421252,0.00084183033,0.0019585057,0.0011773929,0.000314278,0.0005292969,0.0009980074,0.0006161754,0.004051981],"category_scores_gemma":[0.00012193894,0.0009719576,0.0013901835,0.00057197816,0.0003522314,0.0007426967,0.00041938794,0.0004646286,0.012344985],"study_design_candidate":"theoretical_or_conceptual","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":[0.00012790652,0.00042662866,0.15059125,0.000032206164,0.0015800362,0.0000139550375,0.00027941333,0.0059941798,0.000001470376,0.77163506,0.06796932,0.0013485637],"study_design_scores_gemma":[0.0028448326,0.000378371,0.03002999,0.000029304832,0.00017480133,0.000022410526,0.00030531336,0.21387705,0.000011314215,0.0869828,0.6637422,0.0016016286],"about_ca_topic_score_codex":0.008665236,"about_ca_topic_score_gemma":0.0010052541,"teacher_disagreement_score":0.68465227,"about_ca_system_score_codex":0.0014513899,"about_ca_system_score_gemma":0.00058341736,"threshold_uncertainty_score":0.99927306},"labels":[],"label_agreement":null},{"id":"W2323974864","doi":"10.5465/ambpp.2006.22896799","title":"THE SURVIVAL VALUE OF CLUSTERS FOR DE NOVO ENTRANTS.","year":2006,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Library science; Value (mathematics); Management; Business; Economics; Computer science","score_opus":0.02210827681389802,"score_gpt":0.22337130877133338,"score_spread":0.20126303195743536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323974864","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":[0.90201294,0.0010167802,0.007814784,0.015444785,0.00014594242,0.00070254825,0.000068208,0.000021613132,0.07277237],"genre_scores_gemma":[0.99586815,0.00080774276,0.0012809468,0.00017722991,0.0000835293,0.000036427555,0.0000031867696,0.000013928359,0.0017288473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988332,0.0000018688609,0.00065204554,0.00022800762,0.000044674955,0.00024021749],"domain_scores_gemma":[0.99932414,0.000056207897,0.00051800424,0.000052649353,0.000021503985,0.000027489072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089757226,0.000100445155,0.00029246212,0.00013526728,0.00009420325,0.000032205582,0.00036900953,0.00006495009,0.000011269883],"category_scores_gemma":[0.000017088567,0.00009436747,0.00019527842,0.00014744018,0.000086360866,0.00012093742,0.00006345161,0.00006045748,0.000006345835],"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":[0.000033898275,0.000032031538,0.011827677,0.00010534794,0.00015077072,5.565841e-8,0.000035000856,0.00028073217,0.00002606344,0.98473775,0.0018773441,0.00089332706],"study_design_scores_gemma":[0.0013779417,0.00007244444,0.07633974,0.000034978824,0.00009603331,9.57053e-7,0.000286015,0.023203226,0.0009737688,0.62751794,0.26978484,0.00031214155],"about_ca_topic_score_codex":0.0001617402,"about_ca_topic_score_gemma":0.0000049633563,"teacher_disagreement_score":0.35721985,"about_ca_system_score_codex":0.000044217977,"about_ca_system_score_gemma":0.0000031983782,"threshold_uncertainty_score":0.3848194},"labels":[],"label_agreement":null},{"id":"W2335840133","doi":"10.1007/978-3-319-18470-8_11","title":"Spatial Structure of Regional Economic Development in Henan Province, China","year":2015,"lang":"en","type":"book-chapter","venue":"˜The œGeojournal library","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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 Waterloo","funders":"","keywords":"China; Geography; Sustainable development; Spatial planning; Regional science; Economic geography; Economic growth; Environmental planning; Political science; Economics","score_opus":0.022796979540970205,"score_gpt":0.1830325400607687,"score_spread":0.16023556051979848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335840133","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058706768,0.013294212,0.00044342305,0.006578072,0.0017385217,0.0011310092,0.0024486096,0.00006412385,0.91559523],"genre_scores_gemma":[0.71918386,0.0014519074,0.0007235476,0.0004882981,0.0013826683,0.000009382996,0.00054143165,0.0001989799,0.27601993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99715686,0.000017572722,0.0018217837,0.0005690864,0.00010165394,0.00033305222],"domain_scores_gemma":[0.99744505,0.00004387355,0.0018298139,0.0004746799,0.000021502365,0.00018508744],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031523863,0.0004531592,0.0011349964,0.00066768064,0.00011265207,0.000116317875,0.00084809226,0.00037558036,0.0031730642],"category_scores_gemma":[0.000004017855,0.0004005094,0.0004019918,0.000051801813,0.00016379273,0.0004258257,0.0002558103,0.00073177024,0.00027088408],"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":[0.00019322298,0.00005506542,0.013574096,0.000067676454,0.0006096245,0.000042351578,0.00030220533,0.0021977632,0.000002055249,0.95793134,0.019879596,0.0051449835],"study_design_scores_gemma":[0.00048595748,0.000055372977,0.005885302,0.000088152054,0.000016904685,0.00003096946,0.0000072793327,0.0012948815,0.0000063812104,0.32574263,0.6659032,0.00048296046],"about_ca_topic_score_codex":0.00065358187,"about_ca_topic_score_gemma":0.0017742215,"teacher_disagreement_score":0.6604771,"about_ca_system_score_codex":0.00029230255,"about_ca_system_score_gemma":0.0007276372,"threshold_uncertainty_score":0.9998447},"labels":[],"label_agreement":null},{"id":"W2336680597","doi":"","title":"U.S. Regional Poverty Post-2000: The Lost Decade","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Poverty; Recession; Labor demand; Labour economics; Great recession; Population; Unemployment; Job loss; Development economics; Demographic economics; Wage; Economic growth; Macroeconomics","score_opus":0.046545885928870774,"score_gpt":0.27410056762701085,"score_spread":0.22755468169814008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336680597","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":[0.5422703,0.0043000584,0.000041743144,0.044958364,0.0014950385,0.002095049,0.0010983518,0.00006554477,0.40367556],"genre_scores_gemma":[0.9301081,0.041173037,0.0004805133,0.00426358,0.0011581529,0.000580209,0.00043543425,0.00020582785,0.021595195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947074,0.00015448396,0.0019222985,0.001816187,0.00015587977,0.0012437721],"domain_scores_gemma":[0.9958852,0.0006300427,0.0008971933,0.002035299,0.00021084271,0.0003414206],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026701796,0.0005963726,0.0013330133,0.0010715919,0.00037436862,0.0006277877,0.0021945501,0.00081033824,0.0019613875],"category_scores_gemma":[0.0004217297,0.00056496094,0.0008345471,0.0002870874,0.0005968335,0.00026687887,0.0016455237,0.0025671872,0.0015888178],"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":[0.00042150242,0.0012848714,0.07655552,0.00044463485,0.0027082502,0.00009309571,0.0028168429,0.059283838,0.000038985265,0.6540879,0.020708395,0.18155618],"study_design_scores_gemma":[0.0009413719,0.00013638358,0.03726457,0.00013344626,0.000022287706,0.000024676021,0.0004932446,0.09590736,0.0000116530655,0.2055202,0.65805125,0.001493577],"about_ca_topic_score_codex":0.005424202,"about_ca_topic_score_gemma":0.002201139,"teacher_disagreement_score":0.6373428,"about_ca_system_score_codex":0.001921296,"about_ca_system_score_gemma":0.00064404996,"threshold_uncertainty_score":0.9997339},"labels":[],"label_agreement":null},{"id":"W2337446553","doi":"10.1080/08985626.2016.1154984","title":"How open innovation processes vary between urban and remote environments: slow innovators, market-sourced information and frequency of interaction","year":2016,"lang":"en","type":"article","venue":"Entrepreneurship and Regional Development","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McGill University","funders":"Industry Canada; Flinders University","keywords":"Marketing buzz; Metropolitan area; Business; Open innovation; Work (physics); Economic geography; Interpretation (philosophy); Industrial organization; Marketing; Knowledge management; Economics; Computer science; Advertising; Geography; Engineering","score_opus":0.0317263964236993,"score_gpt":0.20813325240310185,"score_spread":0.17640685597940253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337446553","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":[0.98759186,0.0005142967,0.0044736094,0.0061999634,0.0000595372,0.00022265068,0.00004210457,0.000008217128,0.00088774407],"genre_scores_gemma":[0.99619424,0.00095937744,0.0015631047,0.00018168951,0.000039173177,0.000011842356,0.00008176949,0.000008758306,0.00096006505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888533,0.000015829102,0.00061032316,0.00030321366,0.00005421064,0.0001310624],"domain_scores_gemma":[0.99910414,0.00008435238,0.00058736064,0.000117816824,0.00004772807,0.000058622154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035327178,0.00014663693,0.00028838246,0.00033665315,0.00009832353,0.00013393364,0.00012090155,0.00007817615,0.00002692927],"category_scores_gemma":[0.0001049358,0.00012327991,0.000018027458,0.00022907574,0.00008134393,0.0009738242,0.00014366726,0.00005611256,0.0000049438418],"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":[0.000061795094,0.000037356407,0.8693748,0.00013791928,0.00023982793,7.767638e-7,0.0008773273,0.0000014358071,0.00012987424,0.053085726,0.00065864075,0.07539454],"study_design_scores_gemma":[0.0011441517,0.00006544301,0.79915744,0.00017802833,0.000017469147,0.000008587703,0.00014324255,0.00008861837,0.0007854145,0.042436603,0.15555792,0.00041705454],"about_ca_topic_score_codex":0.00010648997,"about_ca_topic_score_gemma":0.00001284675,"teacher_disagreement_score":0.15489927,"about_ca_system_score_codex":0.00006235546,"about_ca_system_score_gemma":0.000040520586,"threshold_uncertainty_score":0.5027209},"labels":[],"label_agreement":null},{"id":"W2338327564","doi":"10.1139/cjfr-2016-0511","title":"The Canada–United States productivity puzzle: regional evidence of the pulp and paper industry, 1971–2005","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","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":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Productivity; Total factor productivity; Agricultural economics; International trade; Geography; Economics; Economy; Economic growth","score_opus":0.13547955745226695,"score_gpt":0.30054214184672745,"score_spread":0.1650625843944605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338327564","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":[0.8713969,0.0031053554,0.0000033301458,0.124490336,0.00018339638,0.00010284088,0.0000473803,3.5136352e-7,0.0006701296],"genre_scores_gemma":[0.9969165,0.0012076605,0.000009514782,0.000120330435,0.00018562209,0.0000035104385,0.000001263378,0.0000093064555,0.0015463433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986792,0.00007076002,0.0005007541,0.00017937236,0.00014974402,0.00042012462],"domain_scores_gemma":[0.99766487,0.00029145257,0.0006546383,0.00058904645,0.00038779515,0.00041221926],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030301993,0.00009056808,0.00025435342,0.000266293,0.0015452999,0.00033763668,0.0011099194,0.00008694208,0.00006237709],"category_scores_gemma":[0.0019268723,0.00006183738,0.00009443524,0.00019352132,0.0008893384,0.0003126766,0.00008487221,0.0007425738,0.0000022892043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033069875,0.000009414419,0.9109334,0.000016968634,0.00012535305,0.000018277076,0.00015429717,0.00065418106,0.000003329363,0.06298016,0.023998603,0.0010729973],"study_design_scores_gemma":[0.0001231597,0.00003979051,0.6849005,0.00006838081,0.0000050718877,0.000023474484,0.00014396923,0.00056825153,0.000012729192,0.019720202,0.29431722,0.00007722941],"about_ca_topic_score_codex":0.932321,"about_ca_topic_score_gemma":0.9969438,"teacher_disagreement_score":0.27031863,"about_ca_system_score_codex":0.00033522194,"about_ca_system_score_gemma":0.002206631,"threshold_uncertainty_score":0.99975455},"labels":[],"label_agreement":null},{"id":"W2338628373","doi":"10.1007/978-3-319-03167-5_6","title":"Evaluating the Performance of Smart Cities in the Global Economic Network","year":2015,"lang":"en","type":"book-chapter","venue":"Public administration and information technology","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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":"McGill University","funders":"","keywords":"Position (finance); Smart city; Foreign direct investment; Regional science; Global city; Economic geography; Investment (military); Business; Economy; Geography; Internet of Things; Economics; Computer science; Political science; Computer security; Politics","score_opus":0.06104407758426726,"score_gpt":0.26376768235286235,"score_spread":0.20272360476859508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338628373","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06656137,0.0022540684,0.0004327327,0.05141525,0.00041608562,0.000725168,0.00034924483,0.00005129176,0.8777948],"genre_scores_gemma":[0.99492455,0.0011241479,0.00012495532,0.00049665454,0.000081022175,0.00004573375,0.00015364535,0.0000068171603,0.0030424625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858075,0.000008898117,0.0010504148,0.00014866191,0.000054202883,0.00015707425],"domain_scores_gemma":[0.99848443,0.00003965082,0.0010755413,0.0003013981,0.00007147771,0.000027476186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245661,0.00015500393,0.0003497874,0.0002641609,0.00011783591,0.00012817644,0.00035713712,0.00027106184,0.00015609786],"category_scores_gemma":[0.000062575884,0.00012304659,0.00007147341,0.000105688334,0.00023559127,0.0006897278,0.00007025291,0.00021158307,0.00010356113],"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":[0.000011544351,0.0000032867254,0.0032724463,0.0000135107275,0.000029269206,7.031514e-8,0.000052948828,0.00016155625,5.4656546e-9,0.99129134,0.000637589,0.004526456],"study_design_scores_gemma":[0.00027683593,0.00043994904,0.0010704839,0.000015695514,0.00001221805,0.000021093429,0.00017517553,0.037495248,4.6907263e-7,0.37619975,0.58409244,0.0002006124],"about_ca_topic_score_codex":0.000032414053,"about_ca_topic_score_gemma":0.0002528097,"teacher_disagreement_score":0.9283632,"about_ca_system_score_codex":0.00013903088,"about_ca_system_score_gemma":0.00018324163,"threshold_uncertainty_score":0.5017694},"labels":[],"label_agreement":null},{"id":"W2345743202","doi":"10.1016/s0169-7218(10)01008-7","title":"Stylized Facts in the Geography of Innovation","year":2010,"lang":"en","type":"book-chapter","venue":"Handbook of the economics of innovation","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":442,"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":"Stylized fact; Economic geography; Context (archaeology); Creativity; Marketing buzz; Urbanization; Process (computing); Geography; Economic system; Economics; Business; Political science; Economic growth; Computer science","score_opus":0.031925709044308845,"score_gpt":0.20459103984633992,"score_spread":0.17266533080203106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345743202","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":[0.7042146,0.0014341399,0.0011865696,0.0024838594,0.0010414766,0.0012948662,0.0010983784,0.000011306354,0.28723484],"genre_scores_gemma":[0.9901141,0.0021220706,0.0012435974,0.0005287175,0.00017940774,0.000028850905,0.00034660555,0.000075121505,0.0053615067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961211,0.000011728928,0.0033009602,0.00035034638,0.000058596237,0.00015725027],"domain_scores_gemma":[0.9924767,0.00011399899,0.0062007327,0.00079593173,0.00040056728,0.000012059251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015469362,0.0002703245,0.0009814298,0.0016610894,0.00006006987,0.000026748896,0.000784533,0.00039428545,0.00018496788],"category_scores_gemma":[0.00015907014,0.00023362262,0.00029599277,0.0005243812,0.00030509278,0.00016402743,0.00011173326,0.0004134974,0.000014396572],"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":[0.000040643266,0.000044586315,0.0060409624,0.00006481352,0.0001794361,9.22448e-8,0.00010202976,0.00026690605,0.0003269926,0.99191415,0.0001226636,0.0008966917],"study_design_scores_gemma":[0.00096544577,0.00010412392,0.008580505,0.00026083644,0.00004598541,0.0000016106943,0.00002162908,0.0006640351,0.0045335214,0.95187014,0.032543615,0.00040853376],"about_ca_topic_score_codex":0.00037114753,"about_ca_topic_score_gemma":0.00023038062,"teacher_disagreement_score":0.28589955,"about_ca_system_score_codex":0.00006830175,"about_ca_system_score_gemma":0.00010660848,"threshold_uncertainty_score":0.95268536},"labels":[],"label_agreement":null},{"id":"W2346891567","doi":"10.6000/1929-7092.2016.05.08","title":"Spatial Interaction Regional Model for the Mexican Economy (SIRMME): A Special Case for Mexico City Metropolitan Area","year":2016,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México","keywords":"Metropolitan area; Economic geography; Regional science; Geography; Economy; Economics; Archaeology","score_opus":0.10606605189535166,"score_gpt":0.29376504607852016,"score_spread":0.1876989941831685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346891567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0670658,0.0077876947,0.83672506,0.06678645,0.0036217028,0.0024767094,0.0029319015,0.000018235283,0.012586435],"genre_scores_gemma":[0.96617585,0.01918482,0.0048902193,0.0038845947,0.0049427277,0.00016846959,0.00001888801,0.000054302156,0.0006801499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967998,0.000031041836,0.002291868,0.0004624921,0.0000311754,0.00038359038],"domain_scores_gemma":[0.9955403,0.0005288134,0.0030959554,0.00043010723,0.00017473138,0.00023007042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018424803,0.00033301784,0.0012877982,0.00020768344,0.0002459661,0.00014564824,0.00053106324,0.00015075722,0.00017501425],"category_scores_gemma":[0.00037996154,0.00022826807,0.0016574137,0.00009163101,0.00012025939,0.00050214597,0.00004941992,0.00015752426,0.000047379242],"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":[0.0009201888,0.00021019172,0.0021894206,0.00004467338,0.0008152057,0.000007957883,0.000068874935,0.0050083217,0.0000010534341,0.89159364,0.044651672,0.05448882],"study_design_scores_gemma":[0.0014560426,0.0003393718,0.00009817171,0.000053698746,0.00010779115,0.00022038912,0.000058939397,0.1366335,0.000006847822,0.17621721,0.68449736,0.00031066206],"about_ca_topic_score_codex":0.00028796692,"about_ca_topic_score_gemma":0.0018126245,"teacher_disagreement_score":0.89911,"about_ca_system_score_codex":0.0019493275,"about_ca_system_score_gemma":0.00012922341,"threshold_uncertainty_score":0.93085015},"labels":[],"label_agreement":null},{"id":"W2368829681","doi":"","title":"Economic Agglomeration Density and Urban Total Factor Productivity:Evidence from Chinese Peripheral Cities","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Metropolitan area; Economies of agglomeration; Economic geography; Externality; Economics; Urban agglomeration; Population; Productivity; Geography; Economic growth; Microeconomics; Demography","score_opus":0.07489080433948879,"score_gpt":0.3068810801856551,"score_spread":0.23199027584616627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368829681","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":[0.98888946,0.0017560145,0.00089321384,0.0057069235,0.00092246354,0.0001368305,0.00017920427,0.000016079246,0.0014998128],"genre_scores_gemma":[0.9956772,0.00065726676,0.00021230093,0.000039923725,0.0017694104,0.00003298835,0.00007475873,0.000018318877,0.0015178544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986553,0.000038968814,0.00040633095,0.00046137805,0.00011980275,0.0003181991],"domain_scores_gemma":[0.9990702,0.000196515,0.00015821826,0.00024150554,0.00021291546,0.000120604505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006657061,0.00015171147,0.00030071192,0.00036524615,0.0001937669,0.0003456806,0.00025350056,0.00007913967,0.001133271],"category_scores_gemma":[0.000461789,0.00015713957,0.00007812699,0.0001824408,0.00016661393,0.0014885805,0.00021686355,0.00019408394,0.00034848426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004972451,0.000056439814,0.98561794,0.000009675642,0.000109314096,0.0000013150508,0.0005572531,0.00018408416,0.0003089149,0.012252737,0.00032699452,0.00052559224],"study_design_scores_gemma":[0.0001727172,0.0000126784635,0.98455554,0.000017115339,0.0000023248417,0.0000058935093,0.000036260873,0.0051151146,0.00009634089,0.0069042044,0.0028969147,0.00018491001],"about_ca_topic_score_codex":0.00831208,"about_ca_topic_score_gemma":0.0006289316,"teacher_disagreement_score":0.0076831486,"about_ca_system_score_codex":0.0003786102,"about_ca_system_score_gemma":0.000046050267,"threshold_uncertainty_score":0.9997798},"labels":[],"label_agreement":null},{"id":"W2374367765","doi":"10.1257/aer.p20161018","title":"Agglomeration of Invention in the Bay Area: Not Just ICT","year":2016,"lang":"en","type":"article","venue":"American Economic Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bay; Information and Communications Technology; Economies of agglomeration; Economic geography; Invention; Economics; Business; Agricultural economics; Marketing; Geography; Economic growth; Computer science; Political science; World Wide Web; Law","score_opus":0.058184919418567606,"score_gpt":0.2582840066321143,"score_spread":0.20009908721354672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374367765","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":[0.7815413,0.041868776,0.002934871,0.09036837,0.0005637089,0.0014467209,0.00036282293,0.000032887892,0.08088058],"genre_scores_gemma":[0.8879342,0.10945324,0.00008685876,0.0021945622,0.000056183035,0.00005799903,0.000013546592,0.000011490554,0.00019189733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982745,0.000050291437,0.0011339766,0.00034038562,0.000023123503,0.00017769981],"domain_scores_gemma":[0.9983045,0.00012085663,0.0010842674,0.00043717015,0.000014383082,0.000038829698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010703905,0.00013842055,0.0007552274,0.00016275368,0.000033917648,0.000021133977,0.00032553932,0.000027190981,0.0005139041],"category_scores_gemma":[0.00007695587,0.00009731298,0.00029753186,0.00019016687,0.00015927533,0.0002069757,0.000029932951,0.000057242007,0.00063603657],"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":[0.000022790922,0.00012706642,0.11731617,0.00028666586,0.00018825136,0.0000022519102,0.0001702109,0.000115644594,0.000034464716,0.7379741,0.0062799416,0.1374824],"study_design_scores_gemma":[0.0015393518,0.00041650975,0.2237593,0.0016274012,0.00012989456,0.000021074085,0.00022884623,0.0033036894,0.00008137074,0.06381022,0.7038734,0.0012089796],"about_ca_topic_score_codex":0.0010715837,"about_ca_topic_score_gemma":0.00076028,"teacher_disagreement_score":0.69759345,"about_ca_system_score_codex":0.00015644074,"about_ca_system_score_gemma":0.000027134225,"threshold_uncertainty_score":0.8175175},"labels":[],"label_agreement":null},{"id":"W2434510020","doi":"10.1111/pirs.12284","title":"The great urban techno shift: Are central neighbourhoods the next silicon valleys? Evidence from three Canadian metropolitan areas","year":2017,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Neighbourhood (mathematics); Geography; Central city; Economic geography; Regional science; Service (business); Economy; Economics; Archaeology","score_opus":0.041072609711127694,"score_gpt":0.23022904534361224,"score_spread":0.18915643563248455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2434510020","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":[0.7881269,0.0018673423,0.000025476013,0.19814971,0.0006919319,0.00029789,0.00008896088,0.00001168361,0.010740095],"genre_scores_gemma":[0.99813783,0.0006783657,0.000021006948,0.00043847313,0.00021763743,0.000015075782,0.0000025335537,0.000009570262,0.0004795273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826384,0.00003342173,0.0004482787,0.0004277523,0.00027735598,0.0005493846],"domain_scores_gemma":[0.99663925,0.0003906796,0.0016833114,0.0010159633,0.000103132195,0.00016763323],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017746802,0.0001573192,0.00028809876,0.00010124122,0.003426237,0.00070605293,0.0026860647,0.000104985615,0.000053578984],"category_scores_gemma":[0.0020788894,0.00009726845,0.00034161203,0.00031724235,0.00078322017,0.00062406674,0.00019098594,0.0002056318,0.0000359979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055376568,0.000008454765,0.84165996,0.000001128674,0.000078003766,2.3936244e-7,0.00016179547,0.00010257823,0.00004115019,0.1569042,0.00056232524,0.000474617],"study_design_scores_gemma":[0.00009126033,0.000011494421,0.9231513,0.0000292449,0.000023194567,3.36319e-7,0.00021112047,0.0041385256,0.000036282545,0.066544205,0.005630114,0.00013289737],"about_ca_topic_score_codex":0.42287984,"about_ca_topic_score_gemma":0.45972365,"teacher_disagreement_score":0.2100109,"about_ca_system_score_codex":0.0023592676,"about_ca_system_score_gemma":0.0002883273,"threshold_uncertainty_score":0.99787116},"labels":[],"label_agreement":null},{"id":"W244385605","doi":"","title":"Do Local Public Finances Influence the Economic Growth of Cities? the Case of the Municipalities of the Tarn Area/Les Finances Locales Influencent-Elles la Croissance Des Villes? le Cas Des Communes Du Departement Du Tarn","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Welfare economics; Political science; Humanities; Economy; Economics; Geography; Philosophy","score_opus":0.041894195921160574,"score_gpt":0.23065138635984903,"score_spread":0.18875719043868844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W244385605","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":[0.9853322,0.0059872884,0.00035051527,0.0072651138,0.00015771239,0.00012939626,0.00009326598,0.0000014061853,0.00068310334],"genre_scores_gemma":[0.9972449,0.002392499,0.00009013929,0.00017902511,0.000050159197,0.0000052228593,5.0596634e-7,0.000009002216,0.000028522218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978992,0.00010398275,0.0011855075,0.00023257497,0.00014803227,0.0004307535],"domain_scores_gemma":[0.9963384,0.0006255922,0.0018893983,0.0005055499,0.00047021074,0.0001708447],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0032162466,0.00019731432,0.00046837993,0.00026446907,0.0014900841,0.00015235596,0.002347947,0.000068380425,0.000022074031],"category_scores_gemma":[0.0005134927,0.000112654496,0.00035460453,0.000676937,0.014402564,0.00060446514,0.0001649236,0.00024557515,9.414548e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020449565,0.000028614877,0.5259886,0.00003663727,0.00008465781,0.000020024116,0.0036549042,0.024587985,0.00002004858,0.44333965,0.00018883977,0.002029582],"study_design_scores_gemma":[0.00048872054,0.00014593576,0.88114023,0.00036479067,0.00004558083,0.00095864607,0.018184617,0.004628193,0.0013332024,0.076268755,0.01606824,0.00037306454],"about_ca_topic_score_codex":0.23346995,"about_ca_topic_score_gemma":0.42481878,"teacher_disagreement_score":0.36707088,"about_ca_system_score_codex":0.0003880433,"about_ca_system_score_gemma":0.0015897874,"threshold_uncertainty_score":0.99980986},"labels":[],"label_agreement":null},{"id":"W2473539739","doi":"10.1080/02723638.2016.1200279","title":"Are major canadian city-regions monocentric, polycentric, or dispersed?","year":2016,"lang":"en","type":"article","venue":"Urban Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; McMaster University","keywords":"Polycentricity; Economic geography; Context (archaeology); Restructuring; Geography; Competition (biology); Regional science; Spatial dispersion; Globalization; City region; Economy; Political science; Economics; Corporate governance; Ecology; Biology","score_opus":0.0237304259270182,"score_gpt":0.19064529675330982,"score_spread":0.1669148708262916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473539739","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":[0.7856483,0.014468762,0.009546688,0.096307606,0.0029506115,0.0014041414,0.0060960497,0.00034995508,0.08322787],"genre_scores_gemma":[0.99140346,0.00096114905,0.0001400913,0.0015207663,0.00029195097,0.00003305553,0.000022449869,0.000037550362,0.005589553],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979263,0.000014192314,0.0006226456,0.00065858045,0.00005137999,0.0007269331],"domain_scores_gemma":[0.9982037,0.000073144714,0.0005022014,0.00055170315,0.000051458865,0.0006178144],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018848343,0.0002701421,0.00053809007,0.0014229072,0.00029585697,0.00012140864,0.0004508003,0.00015208109,0.003202577],"category_scores_gemma":[0.0000941893,0.00021234772,0.0005428176,0.00084176596,0.00013613625,0.00024240023,0.000052157964,0.000109758235,0.0011627098],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022824363,0.00005550433,0.8797161,0.00000448824,0.00021393412,0.000028487426,0.000034678997,0.0000034046338,0.0000010587546,0.095017985,0.02425736,0.0006441782],"study_design_scores_gemma":[0.000905623,0.000043392003,0.3367082,0.000023606088,0.000033237982,0.0000060580514,0.000055166267,0.00025793345,0.000008668597,0.01699359,0.6443972,0.0005673558],"about_ca_topic_score_codex":0.10802242,"about_ca_topic_score_gemma":0.11288015,"teacher_disagreement_score":0.62013984,"about_ca_system_score_codex":0.00021079747,"about_ca_system_score_gemma":0.000059183392,"threshold_uncertainty_score":0.999615},"labels":[],"label_agreement":null},{"id":"W2487512569","doi":"10.1093/0199278636.003.0011","title":"International Trade, Location, and Wage Inequality in China","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"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":"Wage; China; Market access; Wage inequality; Inequality; Wage rate; Economics; Market size; Quarter (Canadian coin); Supply and demand; Business; Geography; Labour economics; International economics; Microeconomics","score_opus":0.02936626181762103,"score_gpt":0.21371288642368627,"score_spread":0.18434662460606524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487512569","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080485415,0.0010841807,0.0008797678,0.010173574,0.00017300532,0.0001149679,0.00015630746,0.00001467543,0.9865987],"genre_scores_gemma":[0.6647423,0.008258501,0.0004181272,0.0007964553,0.00046961097,0.00001131519,0.00024616174,0.000048168797,0.32500938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849844,0.0000029080013,0.0008580615,0.0004807655,0.000031669275,0.00012817388],"domain_scores_gemma":[0.99929327,0.000022371047,0.00038357687,0.00022713351,0.000009244182,0.00006441176],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031022797,0.000208912,0.0005228594,0.00041652448,0.000031278818,0.00006893508,0.00020072972,0.00021630562,0.002769289],"category_scores_gemma":[0.000018109322,0.00024205787,0.00012595253,0.000035836845,0.00005586029,0.00014931126,0.00006486491,0.00020468878,0.00020063433],"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":[0.00000510182,0.000018995781,0.0025141246,0.00000872426,0.00007869057,0.0000021119586,0.000057800884,0.00010499192,1.0331455e-7,0.9919886,0.00068590534,0.004534875],"study_design_scores_gemma":[0.00035340077,0.00001609603,0.033234023,0.000024621933,0.000007667274,0.0000034444406,0.000004679755,0.008217363,5.0911683e-7,0.21566024,0.7420627,0.00041524554],"about_ca_topic_score_codex":0.00082047196,"about_ca_topic_score_gemma":0.0010705224,"teacher_disagreement_score":0.7763283,"about_ca_system_score_codex":0.00015645394,"about_ca_system_score_gemma":0.000016081329,"threshold_uncertainty_score":0.9981423},"labels":[],"label_agreement":null},{"id":"W2506179173","doi":"10.1130/dnag-gna-f1.21","title":"Temporal and spatial divisions","year":2015,"lang":"en","type":"book-chapter","venue":"Geological Society of America eBooks","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":28,"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":"Paleozoic; Geology; Graben; Mesozoic; Paleontology; Earth science; Physical geography; Geography; Structural basin","score_opus":0.057441889037756724,"score_gpt":0.22111979519083585,"score_spread":0.16367790615307914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506179173","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00060177967,0.0025012458,0.0067910594,0.0014536614,0.00010853492,0.00020148406,0.0003679907,0.000034743076,0.9879395],"genre_scores_gemma":[0.36803094,0.0027199658,0.006742659,0.0020642416,0.00046524295,0.000022353468,0.00022253074,0.00008260048,0.61964947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830353,0.0000062898685,0.0007994338,0.0005798058,0.00006891952,0.0002420192],"domain_scores_gemma":[0.99847513,0.000069195215,0.0008968953,0.0003029755,0.000066557535,0.00018925723],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024845367,0.00030503699,0.0011764537,0.00006678867,0.00009711048,0.000027359229,0.00024312781,0.00042670782,0.0010165877],"category_scores_gemma":[0.000023045013,0.000293788,0.0006993613,0.000016842283,0.0008286392,0.000026376862,0.00029502617,0.00032280944,0.00014540335],"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":[0.00003472411,0.000054386222,0.0034255537,0.000051767285,0.00081813906,0.0000057028524,0.00032526313,0.000048519298,0.00000229001,0.9152559,0.025026228,0.054951537],"study_design_scores_gemma":[0.00020606873,0.00019355786,0.00038332026,0.000013602401,0.000027511795,0.0000020162624,0.00002642789,0.0024175711,4.111269e-7,0.34711242,0.6493,0.00031713047],"about_ca_topic_score_codex":0.002586759,"about_ca_topic_score_gemma":0.000028339786,"teacher_disagreement_score":0.6242737,"about_ca_system_score_codex":0.00005987703,"about_ca_system_score_gemma":0.000031767417,"threshold_uncertainty_score":0.9999514},"labels":[],"label_agreement":null},{"id":"W2527436220","doi":"10.52324/001c.8039","title":"Location Theories and Business Location Decision: A Micro-Spatial Investigation of a Nonmetropolitan Area in Canada","year":2016,"lang":"en","type":"article","venue":"Review of Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Perspective (graphical); Diversity (politics); Location; Service (business); Business; Marketing; Economic geography; Scale (ratio); Location theory; Geographical distance; Central business district; Relation (database); Regional science; Industrial organization; Geography; Computer science; Transport engineering; Cartography; Sociology","score_opus":0.0375651339495112,"score_gpt":0.23566652403607255,"score_spread":0.19810139008656136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527436220","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4465913,0.53566694,0.0052778805,0.011909283,0.00010715608,0.0002542886,0.000043471315,0.000002838197,0.00014685975],"genre_scores_gemma":[0.74522746,0.25420058,0.0002995362,0.0002084984,0.000020786745,0.000017033,0.000005322593,0.0000046383834,0.000016161079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987808,0.000019942707,0.00081608834,0.00022403842,0.00006121241,0.00009795579],"domain_scores_gemma":[0.9985791,0.00025089955,0.00064172206,0.00015519894,0.00034091913,0.0000321475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040068774,0.000110467,0.0006324254,0.00013844174,0.00003380515,0.000003674591,0.000096613556,0.000024924053,0.000013428879],"category_scores_gemma":[0.00046821247,0.0000838447,0.000049890954,0.00043970204,0.00018877516,0.0001116323,0.00004283507,0.000025532809,0.0000026204868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005353323,0.000037277718,0.5621787,0.0054864753,0.00030972465,0.0000013824211,0.00022428691,0.00007391443,0.0000402599,0.40482962,0.0014375433,0.0253273],"study_design_scores_gemma":[0.00084036554,0.00006982208,0.7434892,0.016570633,0.000057909656,0.000007365332,0.00037062712,0.00032008355,0.00013443352,0.2301212,0.0076009943,0.00041736668],"about_ca_topic_score_codex":0.30426916,"about_ca_topic_score_gemma":0.34046707,"teacher_disagreement_score":0.29863617,"about_ca_system_score_codex":0.00033869635,"about_ca_system_score_gemma":0.0002064769,"threshold_uncertainty_score":0.70036376},"labels":[],"label_agreement":null},{"id":"W2530504989","doi":"","title":"Rising Trade Costs? Agglomeration and Trade With Endogenous Transaction Costs","year":2008,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Leverhulme Trust","keywords":"Transaction cost; Economies of agglomeration; Economics; International trade; International economics; Trade barrier; Business; Microeconomics","score_opus":0.07697374945339208,"score_gpt":0.308626430917108,"score_spread":0.23165268146371593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530504989","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":[0.9796446,0.00080454495,0.00012143119,0.0117989,0.00012424041,0.00047027782,0.00049834355,0.000012276543,0.006525417],"genre_scores_gemma":[0.98828256,0.009455537,0.0013913234,0.0005263571,0.00022468832,0.000016060892,0.000018774515,0.000032423923,0.000052293417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99417967,0.00007647111,0.001708093,0.0014755215,0.0002101468,0.0023501152],"domain_scores_gemma":[0.9946731,0.00057248544,0.00049186504,0.0005721117,0.00020915271,0.0034813362],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004416209,0.00041883643,0.0012206918,0.0014397991,0.0010220337,0.00052099384,0.00073889265,0.00022945424,0.00010602849],"category_scores_gemma":[0.00077268825,0.0004086757,0.00018286667,0.0008624317,0.007846579,0.0017969047,0.00024609832,0.000658951,0.00001926155],"study_design_candidate":"theoretical_or_conceptual","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":[0.00012731417,0.00021564343,0.03126269,0.00003795132,0.000053068332,0.000004948147,0.000074486285,0.00021188013,0.00057508575,0.96613157,0.00001453357,0.0012908174],"study_design_scores_gemma":[0.0072614998,0.0040683937,0.5299334,0.00023547921,0.00013469912,0.00095388957,0.002247134,0.17676212,0.010363863,0.25583348,0.009513269,0.0026927849],"about_ca_topic_score_codex":0.01031195,"about_ca_topic_score_gemma":0.0008901824,"teacher_disagreement_score":0.7102981,"about_ca_system_score_codex":0.0013125484,"about_ca_system_score_gemma":0.001480095,"threshold_uncertainty_score":0.9998365},"labels":[],"label_agreement":null},{"id":"W2541708356","doi":"10.1111/cag.12322","title":"À propos du rôle de la taille dans la croissance urbaine : Une analyse pour 135 agglomérations canadiennes entre 1971 et 2011","year":2016,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.008097385343198194,"score_gpt":0.1833475770044074,"score_spread":0.1752501916612092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541708356","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":[0.80296594,0.015538554,0.0003384147,0.15354595,0.0013714675,0.0005532012,0.0065815155,0.00008153472,0.019023431],"genre_scores_gemma":[0.94654655,0.029005611,0.0005514249,0.0010015004,0.0004665294,0.00018973247,0.00021497873,0.00015577467,0.02186791],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941773,0.00033573166,0.0014632917,0.0014883596,0.00012436697,0.0024109469],"domain_scores_gemma":[0.9946065,0.00070411805,0.0008494042,0.001122466,0.00033453546,0.0023829667],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00126188,0.0009495791,0.0013422326,0.0057058497,0.0012001595,0.00052103924,0.0011131198,0.00069657434,0.0016551109],"category_scores_gemma":[0.00040262693,0.0010226629,0.0012134636,0.004248156,0.0040669115,0.0008610378,0.000115233066,0.00047499957,0.00018141672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000213569,0.00010500919,0.48567504,0.000061923594,0.0011204274,0.0003831895,0.0027197427,0.00039256993,0.000038361413,0.45162693,0.05487958,0.002975857],"study_design_scores_gemma":[0.0012107409,0.00018456129,0.259482,0.00024465888,0.00034302156,0.00028934446,0.011490232,0.0010878255,0.000029546683,0.037194967,0.6865701,0.0018729952],"about_ca_topic_score_codex":0.97249234,"about_ca_topic_score_gemma":0.9992244,"teacher_disagreement_score":0.6316905,"about_ca_system_score_codex":0.0010549003,"about_ca_system_score_gemma":0.0012609,"threshold_uncertainty_score":0.9992575},"labels":[],"label_agreement":null},{"id":"W2554934021","doi":"10.1111/caje.12224","title":"What drags and drives mobility? Explaining Canada's aggregate migration patterns","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Census; Aggregate (composite); Aggregate data; Poisson distribution; Economic geography; Internal migration; Econometrics; Macroeconomics; Labour economics; Population; Economic growth; Developing country","score_opus":0.07184423439886015,"score_gpt":0.16548137483823283,"score_spread":0.09363714043937268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554934021","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":[0.97719836,0.0013710699,0.00032845515,0.018456914,0.0017470669,0.00015577034,0.0004611956,0.0000043202817,0.00027684143],"genre_scores_gemma":[0.99442875,0.0034751815,0.00014487306,0.0007765574,0.00044353068,0.000014741811,0.000014694358,0.000049378217,0.0006522962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971691,0.000032321335,0.0015149169,0.000569483,0.0000027756905,0.0007114532],"domain_scores_gemma":[0.9963326,0.00019636513,0.0013502158,0.0004161916,0.00012747804,0.0015771519],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000757744,0.00033167042,0.0009291737,0.0007267997,0.00021425977,0.00036047414,0.0004700997,0.00017013984,0.00039181465],"category_scores_gemma":[0.00020213026,0.00034828737,0.00025117054,0.00009720424,0.00016597647,0.0014838472,0.00003223666,0.0001966304,0.000019864274],"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":[0.00004456353,0.000018172137,0.18327098,0.000036262012,0.00038628897,0.00011171992,0.0011326387,0.0009919372,0.000014837708,0.8044652,0.00050079497,0.009026645],"study_design_scores_gemma":[0.0028127185,0.0007507807,0.052074477,0.0007194286,0.00009420619,0.0005827543,0.0027372206,0.007448166,0.00030967675,0.74096966,0.18932088,0.002180005],"about_ca_topic_score_codex":0.93617004,"about_ca_topic_score_gemma":0.99980867,"teacher_disagreement_score":0.1888201,"about_ca_system_score_codex":0.0023144598,"about_ca_system_score_gemma":0.0014648121,"threshold_uncertainty_score":0.9998969},"labels":[],"label_agreement":null},{"id":"W2557704212","doi":"10.1111/caje.12235","title":"Agglomeration and clusters: Tools and insights from coagglomeration patterns","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economies of agglomeration; Economic geography; Data science; Order (exchange); Geography; Regional science; Computer science; Economics; Economic growth","score_opus":0.11388758811504594,"score_gpt":0.1675620783804985,"score_spread":0.053674490265452554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557704212","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":[0.9892099,0.0012180617,0.0010066305,0.006423524,0.00060434267,0.00013949437,0.0009468802,0.000003830026,0.00044732232],"genre_scores_gemma":[0.9966027,0.0017815386,0.00027390508,0.0006675438,0.0004000673,0.000009008634,0.000035303292,0.000033580047,0.0001963672],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980154,0.000026942009,0.0011320736,0.00045708666,0.0000016915504,0.00036678638],"domain_scores_gemma":[0.9975207,0.00018731435,0.00091146375,0.0002613682,0.00008254808,0.0010366228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032934584,0.00024403067,0.00071187,0.0007006173,0.00017008447,0.00033071075,0.0002275414,0.00017884868,0.00024626617],"category_scores_gemma":[0.00015916325,0.00024995892,0.00014634644,0.00006387802,0.00014234422,0.0011317926,0.00002576036,0.0001355913,0.000031753654],"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":[0.00003891895,0.000008854444,0.06683558,0.000014814217,0.00026929582,0.000030430854,0.0011303626,0.0002614914,0.000042105577,0.9210873,0.0001433157,0.010137502],"study_design_scores_gemma":[0.0017719527,0.00034356173,0.04489364,0.0001479735,0.000051564304,0.00013336277,0.0003992833,0.0054568825,0.00010560319,0.9175924,0.028322922,0.0007808326],"about_ca_topic_score_codex":0.11262387,"about_ca_topic_score_gemma":0.91497314,"teacher_disagreement_score":0.80234927,"about_ca_system_score_codex":0.00076266035,"about_ca_system_score_gemma":0.00025350772,"threshold_uncertainty_score":0.9999953},"labels":[],"label_agreement":null},{"id":"W2557944814","doi":"10.1080/21681376.2016.1244774","title":"Regional income disparities in Canada: exploring the geographical dimensions of an old debate","year":2016,"lang":"en","type":"article","venue":"Regional Studies Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Moncton; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Economic geography; Regional science; Political science","score_opus":0.09192860770076003,"score_gpt":0.24295487000284763,"score_spread":0.1510262623020876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557944814","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":[0.95576006,0.0024334306,0.00010098984,0.04103767,0.00030029877,0.00014869623,0.000044165117,0.0000115837465,0.00016313263],"genre_scores_gemma":[0.9898103,0.008502656,0.00021384115,0.0010089688,0.00012081318,0.00009033211,0.000003883083,0.000015216513,0.00023402978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99721086,0.00004107616,0.00095147,0.000805612,0.0003786788,0.00061232515],"domain_scores_gemma":[0.9980519,0.0005966764,0.0004629068,0.00045928682,0.00021291985,0.00021634955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010898501,0.00025769198,0.0006462424,0.00043172005,0.0005484431,0.00003626347,0.00091008196,0.000044189896,0.000018527178],"category_scores_gemma":[0.00019849198,0.00015398106,0.00020785566,0.001054971,0.002234992,0.00070911227,0.00029892023,0.0001629781,0.0000131448605],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054485477,0.0000851521,0.24813005,0.000013653141,0.00013368318,0.000012488069,0.000160656,0.00072330347,0.00008617134,0.748814,0.0008059005,0.0009804915],"study_design_scores_gemma":[0.0005764745,0.000085380874,0.82476103,0.00015780059,0.000012820438,0.000029952927,0.0005231825,0.0018264585,0.000036876532,0.14846808,0.023018792,0.00050314976],"about_ca_topic_score_codex":0.5807981,"about_ca_topic_score_gemma":0.645572,"teacher_disagreement_score":0.6003459,"about_ca_system_score_codex":0.0008473423,"about_ca_system_score_gemma":0.0005025732,"threshold_uncertainty_score":0.8234921},"labels":[],"label_agreement":null},{"id":"W2559954774","doi":"10.1111/jors.12323","title":"LOCATION AND ENTREPRENEURSHIP: INSIGHTS FROM A SPATIALLY‐EXPLICIT OCCUPATIONAL CHOICE MODEL WITH AN APPLICATION TO CHILE","year":2016,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Entrepreneurship; Economics; General equilibrium theory; Partial equilibrium; Microeconomics; Selection (genetic algorithm); Economic geography; Labour economics","score_opus":0.03004611448374602,"score_gpt":0.23486859427949758,"score_spread":0.20482247979575155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559954774","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":[0.76202,0.0001475981,0.2332634,0.0043170555,0.000033544893,0.000072554176,0.000013673953,0.0000039583065,0.00012820523],"genre_scores_gemma":[0.9944779,0.00009585835,0.004658694,0.0005066035,0.0001855511,0.000007720103,0.0000033674075,0.0000074333743,0.000056827703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99884653,0.000008641125,0.00046176635,0.00037834616,0.0001612129,0.0001434845],"domain_scores_gemma":[0.99856323,0.00008099681,0.00061408133,0.00021032599,0.00027184017,0.00025951175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030595975,0.00010632623,0.00023556389,0.000351618,0.0001425699,0.00008770658,0.00036470682,0.00003706612,0.00001629737],"category_scores_gemma":[0.00008667317,0.00007557163,0.00004674395,0.0003803529,0.0001467225,0.0009490919,0.000039069237,0.000057391495,0.000024899904],"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":[0.0004430348,0.0002969518,0.19981238,0.000008560131,0.00009352041,0.0000030542142,0.00085208553,0.050743837,0.0109675415,0.7238299,0.00021677087,0.012732345],"study_design_scores_gemma":[0.001236529,0.00056144857,0.6371129,0.000109442866,0.000024868074,0.000031776304,0.00004153134,0.17606294,0.00065835513,0.17846136,0.005214145,0.00048470535],"about_ca_topic_score_codex":0.00055186637,"about_ca_topic_score_gemma":0.00047623782,"teacher_disagreement_score":0.54536855,"about_ca_system_score_codex":0.00013906111,"about_ca_system_score_gemma":0.00016805418,"threshold_uncertainty_score":0.3081722},"labels":[],"label_agreement":null},{"id":"W2561027834","doi":"10.52324/001c.8031","title":"Regional Inequality and Decentralized Governance: Canada’s Provinces","year":2016,"lang":"en","type":"article","venue":"Review of Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Inequality; Context (archaeology); Government (linguistics); Constraint (computer-aided design); Corporate governance; Relevance (law); Convergence (economics); Politics; Public policy; Public economics; Economics; Political science; Development economics; Regional science; Economic growth; Geography","score_opus":0.06735491290947324,"score_gpt":0.26920275467580446,"score_spread":0.20184784176633122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561027834","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029934585,0.86969995,0.00008158267,0.0987445,0.00011041218,0.00020705725,0.00017156484,0.0000078281555,0.0010425437],"genre_scores_gemma":[0.17898858,0.818222,0.00016500404,0.0020608825,0.00005592741,0.000022641616,0.0000054521,0.000007872382,0.00047164343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854285,0.000024532736,0.00080409966,0.0003480837,0.0000925665,0.00018789354],"domain_scores_gemma":[0.99864775,0.00019728909,0.0007669278,0.00019864306,0.00011554913,0.000073829266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046836547,0.00015992207,0.000880269,0.00003092638,0.00007992621,0.000006586054,0.0001666821,0.000030619165,0.00010859241],"category_scores_gemma":[0.0002794786,0.00011105339,0.0001668695,0.00010650101,0.0002205747,0.00011526469,0.00007574937,0.000039916384,0.000012986888],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026246356,0.000041089374,0.046916243,0.002404168,0.00061729254,0.0000033647677,0.000043269865,9.518927e-7,0.000005063467,0.8389979,0.0999865,0.010957898],"study_design_scores_gemma":[0.00038896562,0.000030901978,0.036648378,0.0023644604,0.000029564733,0.0000065527374,0.00002743876,0.000011154553,0.0000069155367,0.022667756,0.9375755,0.00024237613],"about_ca_topic_score_codex":0.06864433,"about_ca_topic_score_gemma":0.08500566,"teacher_disagreement_score":0.837589,"about_ca_system_score_codex":0.0002160969,"about_ca_system_score_gemma":0.00014561416,"threshold_uncertainty_score":0.93755764},"labels":[],"label_agreement":null},{"id":"W2561168999","doi":"10.1111/cag.12326","title":"Spatial clustering of high‐tech manufacturing and knowledge‐intensive service firms in the Greater Toronto Area","year":2016,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Fundación Séneca","keywords":"Downtown; Economies of agglomeration; Economic geography; Cluster analysis; Statistic; Cluster (spacecraft); Business; Service (business); High tech; Spatial analysis; Regional science; Geography; Logit; Marketing; Industrial organization; Economic growth; Computer science; Economics; Econometrics; Statistics","score_opus":0.014636253081554676,"score_gpt":0.175205127334444,"score_spread":0.16056887425288932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561168999","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":[0.98892444,0.0023309435,0.00006326458,0.0057036737,0.00026008734,0.0002238374,0.00038809425,0.000012319805,0.0020933396],"genre_scores_gemma":[0.9965788,0.0024081368,0.000040785595,0.00070633413,0.00007200172,0.000047637594,0.000017168742,0.000025943504,0.00010320138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818224,0.000026205213,0.0006157646,0.0005104203,0.000038998078,0.00062637083],"domain_scores_gemma":[0.99877006,0.000120715784,0.00023659506,0.0004620883,0.00010864334,0.0003018717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031592717,0.00028327905,0.00056282233,0.0015622058,0.00020318564,0.00007391247,0.00045857453,0.00013646227,0.00016326491],"category_scores_gemma":[0.000044533608,0.00021703047,0.00019742109,0.0007143614,0.00040559756,0.00026580118,0.00006926316,0.00009656438,0.000008285287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010069064,0.00005540591,0.85009617,0.00022075404,0.0008626859,0.00010284127,0.01169251,0.00010408164,0.000031430744,0.098688476,0.0024200638,0.035624877],"study_design_scores_gemma":[0.00089035416,0.00013791065,0.9440392,0.0001406629,0.0000424249,0.000039939474,0.0072363853,0.0004578857,0.000048037797,0.020168955,0.0260527,0.0007455485],"about_ca_topic_score_codex":0.9679901,"about_ca_topic_score_gemma":0.9994294,"teacher_disagreement_score":0.09394301,"about_ca_system_score_codex":0.00013812404,"about_ca_system_score_gemma":0.000039476367,"threshold_uncertainty_score":0.88502455},"labels":[],"label_agreement":null},{"id":"W2566582765","doi":"","title":"Établir des groupes de régions économiques comparables au Canada : une analyse par grappes","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Philosophy","score_opus":0.04398527216381633,"score_gpt":0.2721515489204638,"score_spread":0.22816627675664747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566582765","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":[0.86924845,0.0025829715,0.00029136654,0.012200423,0.0010202851,0.000749871,0.0017726987,0.00004095228,0.11209297],"genre_scores_gemma":[0.9110055,0.078793526,0.0012869193,0.00031885185,0.0009079656,0.00038571184,0.00022366268,0.0001682932,0.006909602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99048024,0.0004558469,0.0033520157,0.0026067055,0.00015023607,0.002954944],"domain_scores_gemma":[0.9936203,0.0017268092,0.0014555916,0.001958638,0.00027401577,0.0009646865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034550887,0.0010736821,0.002954261,0.0017933637,0.001109464,0.00055906567,0.0021628148,0.00093082414,0.0006670203],"category_scores_gemma":[0.0006498822,0.0012753032,0.001088141,0.0007110078,0.0020504359,0.00054923317,0.0012361531,0.0017702375,0.00010606671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001738267,0.00044352718,0.74966115,0.000313837,0.0018443839,0.00011581516,0.00084147207,0.04677259,0.000027977816,0.134767,0.0007959225,0.06424252],"study_design_scores_gemma":[0.0015902886,0.00021051256,0.43827018,0.0008770777,0.000104690436,0.000043642027,0.0013889148,0.06610199,0.00018122731,0.21697848,0.27170876,0.0025442222],"about_ca_topic_score_codex":0.8634884,"about_ca_topic_score_gemma":0.9810044,"teacher_disagreement_score":0.31139094,"about_ca_system_score_codex":0.013671557,"about_ca_system_score_gemma":0.0048163794,"threshold_uncertainty_score":0.9989697},"labels":[],"label_agreement":null},{"id":"W2567192473","doi":"10.1016/j.jeem.2017.02.006","title":"An energy-centric theory of agglomeration","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Economies of agglomeration; Productivity; Incentive; Economic geography; Economics; Space (punctuation); Distribution (mathematics); Energy (signal processing); Simple (philosophy); Natural resource economics; Aggregate (composite); Microeconomics; Econometrics; Computer science; Economic growth; Mathematics","score_opus":0.011978147665274089,"score_gpt":0.17896956078958529,"score_spread":0.1669914131243112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567192473","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":[0.983087,0.0014761734,0.0042340974,0.0006481511,0.0002911699,0.00007710474,0.000064283806,0.0000016334749,0.01012041],"genre_scores_gemma":[0.96321577,0.03556769,0.0006827737,0.00012547747,0.00008479258,0.000001933202,0.0000050259973,0.000011562493,0.0003049846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99894243,0.0000100402185,0.0007241787,0.00018645961,0.000022348886,0.00011451954],"domain_scores_gemma":[0.9979792,0.0000113791175,0.0015840809,0.00032660612,0.000004813414,0.00009391882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005169701,0.00010949971,0.00036764215,0.00020400714,0.0001476367,0.00011329157,0.00031185983,0.000042036474,0.0001394801],"category_scores_gemma":[0.000004414655,0.000117430245,0.00015224378,0.000012171151,0.00010847307,0.000489906,0.00009700805,0.00004596926,0.000008393155],"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":[0.000055163608,0.0002064292,0.012014974,0.000012720967,0.00034759464,0.0000055710398,0.00006041672,0.00097588415,0.000041860698,0.95190495,0.000052748474,0.034321696],"study_design_scores_gemma":[0.0029715078,0.00069966563,0.43536606,0.00003317986,0.00017415105,0.000030427138,0.0004817985,0.018402582,0.00034306585,0.43067077,0.11019899,0.00062781374],"about_ca_topic_score_codex":0.000045379733,"about_ca_topic_score_gemma":0.000015038292,"teacher_disagreement_score":0.52123415,"about_ca_system_score_codex":0.000079159,"about_ca_system_score_gemma":0.0000040294303,"threshold_uncertainty_score":0.47886664},"labels":[],"label_agreement":null},{"id":"W2588026951","doi":"10.1080/00220388.2017.1283013","title":"Agglomeration Effects: Productivity of the Informal Sector in Vietnam","year":2017,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"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":"Wilfrid Laurier University; National Foundation for Science and Technology Development","keywords":"Economies of agglomeration; Externality; Productivity; Informal sector; Economic geography; Economies of scale; Economics; Scale (ratio); Business; Labour economics; Economic growth; Geography; Microeconomics","score_opus":0.04265108125534932,"score_gpt":0.24222811409590939,"score_spread":0.19957703284056005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588026951","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":[0.9933165,0.0016023299,0.00009910586,0.003697324,0.00039883403,0.00009871926,0.0000014388236,7.359698e-7,0.0007850529],"genre_scores_gemma":[0.9985394,0.00097160984,0.00016475681,0.00005095426,0.00006682215,0.0000031356044,1.372921e-7,0.0000034085847,0.00019980046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911803,0.000018974655,0.00066082476,0.00006189912,0.000047773457,0.00009249598],"domain_scores_gemma":[0.998145,0.00006295264,0.0014993824,0.00020274306,0.00007654224,0.000013386035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013995294,0.00007529295,0.0003603641,0.000090982656,0.00031202682,0.000025829371,0.00035790293,0.000019771782,0.0000055655833],"category_scores_gemma":[0.00038319762,0.000043354776,0.00008805503,0.00006439654,0.00010641646,0.00024869764,0.00013812196,0.000105525476,0.0000057179054],"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":[0.00009880192,0.00011752456,0.9691735,0.00011650212,0.0010388019,0.0000013816885,0.010851711,0.001185166,0.00010271528,0.010194515,0.0004041357,0.0067152483],"study_design_scores_gemma":[0.00034077602,0.00003557907,0.9914275,0.00006029777,0.000013432418,0.000003137128,0.00020054977,0.00010803607,0.001000258,0.0038988623,0.002838191,0.00007338217],"about_ca_topic_score_codex":0.000053086467,"about_ca_topic_score_gemma":0.00037675942,"teacher_disagreement_score":0.022254001,"about_ca_system_score_codex":0.000072004405,"about_ca_system_score_gemma":0.00004603463,"threshold_uncertainty_score":0.23998895},"labels":[],"label_agreement":null},{"id":"W2591423181","doi":"10.3390/su9020313","title":"Analyzing Agricultural Agglomeration in China","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"U.S. Department of Agriculture","keywords":"China; Economic geography; Agriculture; Gini coefficient; Geography; Economies of agglomeration; Diversification (marketing strategy); Spatial analysis; Sustainable development; Agricultural productivity; Agricultural economics; Economics; Ecology; Business; Economic growth; Inequality; Biology","score_opus":0.014408781394731772,"score_gpt":0.2344622098245712,"score_spread":0.2200534284298394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591423181","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":[0.97706497,0.00016517754,0.0004743932,0.010983461,0.00010618586,0.0001521121,0.00001245631,0.000011041208,0.011030177],"genre_scores_gemma":[0.99895006,0.00004789164,0.00007636629,0.000021846825,0.00007925652,0.000018878449,0.0000122505035,0.0000056526565,0.00078777515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989029,0.000013176086,0.00045850765,0.00037443422,0.000018313674,0.00023264533],"domain_scores_gemma":[0.99897885,0.0000139455415,0.00035047825,0.0005255151,0.00007529689,0.000055928453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006302693,0.0001059414,0.0003195356,0.00013135067,0.00032605152,0.0002493348,0.00029313017,0.00006576149,0.00011191755],"category_scores_gemma":[0.00065030623,0.00010648504,0.000151937,0.00009368536,0.00008435149,0.0004819234,0.000086483626,0.00011311186,0.00004455607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062250756,0.000042872016,0.7151768,0.00001538168,0.0000142582285,0.0000025184706,0.0001451053,0.00076972606,0.0000019478684,0.28252667,0.000047913953,0.001250565],"study_design_scores_gemma":[0.00017020889,0.000011502721,0.7898153,0.0000019489448,0.0000018097035,3.6347345e-7,0.000057751527,0.0031188787,0.0000057482684,0.20557092,0.0011279295,0.000117618576],"about_ca_topic_score_codex":0.009452359,"about_ca_topic_score_gemma":0.001920533,"teacher_disagreement_score":0.076955765,"about_ca_system_score_codex":0.00060547434,"about_ca_system_score_gemma":0.000034871613,"threshold_uncertainty_score":0.9971438},"labels":[],"label_agreement":null},{"id":"W2595411407","doi":"","title":"Marginal regions in discursive space: An examination of socio-economic conditions, development paths and spatial differentiation in the economic systems of the Canadian and Russian North","year":2009,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Space (punctuation); Geography; Economic geography; Regional science; Linguistics","score_opus":0.0117332255378546,"score_gpt":0.19733239689409968,"score_spread":0.18559917135624507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595411407","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":[0.99420553,0.0004590582,0.000024328283,0.00049461477,0.00010987025,0.00032771885,0.00024864986,0.0000015693569,0.0041286414],"genre_scores_gemma":[0.9985447,0.0006654271,0.00002991996,0.000005599777,0.000017152623,0.000002295274,0.0004040578,0.000007960738,0.00032290112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910116,0.00006373083,0.00037027802,0.00028459984,0.000039978826,0.0001402346],"domain_scores_gemma":[0.998602,0.000032541728,0.0010792105,0.0002074036,0.000021089223,0.00005779213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834557,0.00015176371,0.0004892184,0.00025569685,0.00016411765,0.000026651409,0.00024953685,0.00016548515,0.00014048316],"category_scores_gemma":[0.0000063381976,0.00015995362,0.000083846375,0.000043783686,0.000099228106,0.00026120074,0.00002055098,0.00011185253,0.0000015704569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015111566,0.00019685755,0.51021636,0.00037573764,0.00036016898,0.000005813853,0.07922857,0.002783949,0.000008369095,0.39710873,0.000078041136,0.009486296],"study_design_scores_gemma":[0.00037957335,0.00004333849,0.98019016,0.00005807727,0.00003110627,6.8951164e-7,0.013068098,0.0054223826,0.000001272514,0.00056500046,0.00008775229,0.00015254715],"about_ca_topic_score_codex":0.8983866,"about_ca_topic_score_gemma":0.9970918,"teacher_disagreement_score":0.4699738,"about_ca_system_score_codex":0.0010689283,"about_ca_system_score_gemma":0.00023459778,"threshold_uncertainty_score":0.6522719},"labels":[],"label_agreement":null},{"id":"W259564703","doi":"","title":"British Columbia and Its Regional Economies: An Overview of Research issues/La Colombie-Britannique et Ses Economies Regionales: Un Survol Des Enjeux De la Recherche","year":2004,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Political science; Humanities; Economy; Sociology; Economics; Art; Demography","score_opus":0.3742448649604519,"score_gpt":0.38773839693522016,"score_spread":0.01349353197476827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W259564703","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":[0.81635886,0.14926858,0.00009084041,0.031721056,0.00023695246,0.00020575845,0.00024406884,0.0000050351055,0.0018688203],"genre_scores_gemma":[0.8143408,0.17321745,0.008031574,0.0009839712,0.0003092903,0.000014094975,0.000010386308,0.000048353133,0.0030441328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955191,0.00094918365,0.0014939174,0.00079928513,0.00023264727,0.0010058739],"domain_scores_gemma":[0.9935383,0.0020924162,0.0011837984,0.0003770255,0.0012467286,0.0015617408],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.020738952,0.00028089437,0.0010359191,0.0010200227,0.0007892146,0.0015491517,0.0013559506,0.0005751768,0.0007329768],"category_scores_gemma":[0.0025470713,0.00045114497,0.0003846511,0.0011900913,0.00775779,0.0021130086,0.000108934946,0.001153442,0.000016862801],"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":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005054125,0.00027341716,0.06724969,0.0003211363,0.00032094805,0.00037229853,0.0043731066,0.0035131911,0.000033908305,0.905479,0.013656407,0.0043563605],"study_design_scores_gemma":[0.0010473016,0.00055278116,0.14648254,0.0016184937,0.000041498748,0.0034896724,0.0018144608,0.00092405203,0.000038494716,0.6900007,0.15339294,0.00059703016],"about_ca_topic_score_codex":0.37859258,"about_ca_topic_score_gemma":0.6178823,"teacher_disagreement_score":0.23928976,"about_ca_system_score_codex":0.0030386664,"about_ca_system_score_gemma":0.01170016,"threshold_uncertainty_score":0.999794},"labels":[],"label_agreement":null},{"id":"W2600052715","doi":"","title":"Zipf'law and Canadian urban growth","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in 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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zipf's law; Economic geography; Economics; Geography; Mathematics; Statistics","score_opus":0.04090692595573523,"score_gpt":0.25584608991269464,"score_spread":0.21493916395695942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600052715","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22273363,0.0033369951,0.000007792924,0.003405636,0.00084224314,0.0007031747,0.00076393445,0.000031385553,0.7681752],"genre_scores_gemma":[0.97956866,0.01653837,0.00029390966,0.00073694566,0.0005567546,0.00016391375,0.000159653,0.000100000936,0.0018817702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995825,0.00007898982,0.0012723843,0.0013746566,0.00006689937,0.0013820756],"domain_scores_gemma":[0.9973652,0.0002086594,0.0004245598,0.0010151824,0.000084545645,0.0009018834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024314206,0.0004589498,0.0011869977,0.001462762,0.00032413774,0.00040921674,0.000829485,0.0007296781,0.0004228459],"category_scores_gemma":[0.0001949548,0.0005941173,0.00032766073,0.00017513518,0.0004807239,0.00024828283,0.00082659704,0.0015488503,0.00018687994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002672006,0.00011014435,0.124430925,0.00014277628,0.00034404115,0.000023402696,0.00054629607,0.0006763707,0.0000020507232,0.8664459,0.00039455993,0.0068568327],"study_design_scores_gemma":[0.0013035279,0.00011542164,0.06269038,0.00017447832,0.000037323618,0.000025800597,0.0003744041,0.029831912,0.00002227084,0.31853,0.5842723,0.0026221995],"about_ca_topic_score_codex":0.251662,"about_ca_topic_score_gemma":0.2520784,"teacher_disagreement_score":0.76629347,"about_ca_system_score_codex":0.0017334261,"about_ca_system_score_gemma":0.00037687342,"threshold_uncertainty_score":0.999651},"labels":[],"label_agreement":null},{"id":"W2604590178","doi":"10.1002/ajcp.12137","title":"The Diversity–Segregation Conundrum","year":2017,"lang":"en","type":"article","venue":"American Journal of Community Psychology","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Prosperity; Diversity (politics); Economic geography; Salient; Metropolitan area; Sociology; Civility; Political science; Political economy; Geography; Law","score_opus":0.07314190744022721,"score_gpt":0.3029249960339659,"score_spread":0.2297830885937387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604590178","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":[0.94325477,0.0002279822,0.0018009597,0.034425616,0.00050425285,0.000027749675,0.000007846584,0.0000028547481,0.019747976],"genre_scores_gemma":[0.99741143,0.00095384615,0.00016185328,0.0011999153,0.00007292862,6.419138e-7,9.770458e-7,0.000006445936,0.00019198934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991355,0.00011770676,0.0005050537,0.00006287814,0.000029609573,0.00014928418],"domain_scores_gemma":[0.99653435,0.00020128877,0.002339411,0.0007674544,0.00008737275,0.000070132184],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015107989,0.00007723069,0.00037375683,0.0001133554,0.002339675,0.00013064135,0.0014846778,0.000031546533,0.00003989604],"category_scores_gemma":[0.00021176272,0.000065703534,0.00020320868,0.000056462726,0.00084264856,0.00019609714,0.0002682264,0.0004341282,0.00006480717],"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":[0.0002702225,0.00024792203,0.3939741,0.0000030420397,0.00076793286,0.00000914632,0.0024267621,0.000075120435,0.000013538325,0.4425199,0.0064374655,0.15325485],"study_design_scores_gemma":[0.00060957385,0.0005536817,0.59676933,0.000005103979,0.000017230472,0.000049006823,0.00065249216,0.00012672292,0.000003017992,0.2824085,0.118671276,0.00013408485],"about_ca_topic_score_codex":0.0024064472,"about_ca_topic_score_gemma":0.00048147066,"teacher_disagreement_score":0.20279522,"about_ca_system_score_codex":0.000038507118,"about_ca_system_score_gemma":0.000012073986,"threshold_uncertainty_score":0.9989591},"labels":[],"label_agreement":null},{"id":"W2614782643","doi":"","title":"Estimating Agglomeration Economies with History, Geology, and Worker Effects","year":2008,"lang":"en","type":"article","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Productivity; Economics; Wage; Instrumental variable; Quality (philosophy); Set (abstract data type); Econometrics; Microeconomics; Labour economics; Macroeconomics; Computer science","score_opus":0.021309500003685408,"score_gpt":0.16442407239057563,"score_spread":0.14311457238689024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614782643","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":[0.974259,0.0014533581,0.0091887545,0.0009775257,0.00010508622,0.00011557937,0.000013235127,0.000023812712,0.013863624],"genre_scores_gemma":[0.9839271,0.0002506858,0.014424769,0.00006955947,0.000026493752,7.47937e-7,0.0000137233565,0.000010340364,0.0012766034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992367,0.000021576889,0.0002063777,0.00033998265,0.00002722461,0.00016815307],"domain_scores_gemma":[0.99920267,0.00007083385,0.00035382417,0.00024073628,0.000038020837,0.00009390802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021073325,0.0001295555,0.00043167413,0.00028755635,0.00030113585,0.000022505474,0.00019887541,0.00009087027,0.0002343683],"category_scores_gemma":[0.00002429514,0.00016806342,0.00009568092,0.000105692714,0.00032816146,0.00075517915,0.00008682163,0.000173723,0.00009979275],"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":[0.00013985382,0.00015234624,0.83015853,0.000062653504,0.00044492816,0.000080398604,0.0018410878,0.0013956473,0.00008038833,0.16007847,0.0024948202,0.0030709018],"study_design_scores_gemma":[0.0028784645,0.00048744888,0.84198445,0.000053770287,0.00009501789,0.000106101004,0.0003832865,0.06507594,0.0000147967085,0.015396684,0.07263605,0.0008880033],"about_ca_topic_score_codex":0.0027329158,"about_ca_topic_score_gemma":0.0012907707,"teacher_disagreement_score":0.14468178,"about_ca_system_score_codex":0.00014781646,"about_ca_system_score_gemma":0.000033870136,"threshold_uncertainty_score":0.6853427},"labels":[],"label_agreement":null},{"id":"W265500836","doi":"","title":"Regional Economic Shifts in British Columbia: Speculation from Recent Demographic evidence/Changements Economiques Regionaux En Colombie-Britannique : Speculation a Partir D'une Preuve Demographique Recente","year":2004,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Metropolitan area; Political science; Speculation; Context (archaeology); Population; Economy; Humanities; Archaeology; Economics; Sociology; Demography","score_opus":0.046806971236538,"score_gpt":0.23886071442253562,"score_spread":0.1920537431859976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W265500836","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":[0.8845811,0.024011843,0.0006571396,0.08765452,0.0019039137,0.00055631023,0.00026217315,0.00000970309,0.0003632756],"genre_scores_gemma":[0.9349734,0.05910984,0.0029528928,0.0014991194,0.0008701638,0.000030524297,0.00007489215,0.00005276095,0.00043640693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946387,0.0001753655,0.0025183926,0.0012427652,0.0002682698,0.0011565518],"domain_scores_gemma":[0.99500513,0.00024841377,0.0024192184,0.00050815503,0.00050066086,0.0013184157],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0031937938,0.000402034,0.00113373,0.0017508332,0.0006285936,0.0012786951,0.0012883837,0.00049310026,0.00044459218],"category_scores_gemma":[0.00038445048,0.000711977,0.0006470066,0.0019422547,0.0018331165,0.0029269457,0.0000815049,0.00075221463,0.00007196847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118818425,0.00028690632,0.86520463,0.000055175773,0.0005144689,0.0005184842,0.0018353395,0.02253345,0.00006935221,0.08986393,0.008574724,0.0104247155],"study_design_scores_gemma":[0.0012562823,0.00027355808,0.73459005,0.0014304805,0.00007002607,0.0001889628,0.00031768339,0.0024672777,0.0000108013055,0.18330145,0.07537014,0.00072327745],"about_ca_topic_score_codex":0.6322815,"about_ca_topic_score_gemma":0.9671899,"teacher_disagreement_score":0.33490843,"about_ca_system_score_codex":0.0076775295,"about_ca_system_score_gemma":0.00447526,"threshold_uncertainty_score":0.99975806},"labels":[],"label_agreement":null},{"id":"W269393151","doi":"","title":"\"Three Types of Human Capital, with the Same Income Growth? the Influence of Human Capital Variation (HK) on Income Growth for 152 Canadian Agglomerations between 1981 and 2001/trois Types De Capital Humain, Une Meme Croissance Des Revenus? L'impact Des Flux Differencies De Capital Humain Sur la Croissance Economique Pour 152 Agglomerations Canadiennes, Entre 1981 et 2001","year":2009,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban agglomeration; Human capital; Immigration; Political science; Humanities; Economics; Welfare economics; Geography; Economy; Economic growth","score_opus":0.024137800983171146,"score_gpt":0.23757096132351527,"score_spread":0.21343316034034412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W269393151","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":[0.97070706,0.0027158705,0.00029379321,0.024140123,0.00008342547,0.000392891,0.0014712898,0.000004975714,0.00019056942],"genre_scores_gemma":[0.99773,0.00045416443,0.0006316145,0.00040293369,0.0002627735,0.000018843946,0.000050378247,0.00003408349,0.00041517205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99684286,0.00013977084,0.0011518828,0.0005308584,0.00018443432,0.001150204],"domain_scores_gemma":[0.9956489,0.00051393895,0.0014350025,0.0003931038,0.0009570671,0.0010519648],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0022579476,0.00044945124,0.00086434616,0.0010484669,0.0020639873,0.00046248295,0.0011047508,0.00020742706,0.0000693376],"category_scores_gemma":[0.00060472457,0.00038907808,0.00030984325,0.0008982358,0.0031733778,0.0012359805,0.000036868616,0.0004927675,0.0000033616845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039193463,0.00009616467,0.5068247,0.0000903397,0.00046314305,0.00004304286,0.012414143,0.015832555,0.000918103,0.46112436,0.0018889726,0.00026531672],"study_design_scores_gemma":[0.00051579415,0.0008156882,0.85756767,0.00025241033,0.00011386411,0.00013564488,0.0007443071,0.0008451218,0.00008374283,0.13836375,0.0001458592,0.00041618137],"about_ca_topic_score_codex":0.84675854,"about_ca_topic_score_gemma":0.9829635,"teacher_disagreement_score":0.35074297,"about_ca_system_score_codex":0.0026200837,"about_ca_system_score_gemma":0.0053413245,"threshold_uncertainty_score":0.9998561},"labels":[],"label_agreement":null},{"id":"W2735233614","doi":"10.5555/arwg.10.3-4.rhn215q97271uv62","title":"Conceptualizing City-Regions as “Places” and ldquo;Spaces”","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Autonomy; Politics; Economic geography; Capitalism; Sociology; Context (archaeology); Subject (documents); Geography; Political science; Archaeology; Law","score_opus":0.045486710014821394,"score_gpt":0.22263730503535345,"score_spread":0.17715059502053204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735233614","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":[0.62139535,0.0054522697,0.0010545042,0.0025232723,0.00033840898,0.00022049095,0.00004362702,0.00008042285,0.36889163],"genre_scores_gemma":[0.98846066,0.00085576496,0.0007487261,0.001258668,0.00007876013,0.000029077852,0.000010568157,0.000026793883,0.008530986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985267,0.00001693524,0.000505771,0.0005607005,0.00003370589,0.00035619776],"domain_scores_gemma":[0.99906415,0.000053513773,0.00030076993,0.0003644928,0.000031088224,0.00018600487],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030756535,0.00021518061,0.00045096411,0.00047667164,0.00021400873,0.00011002845,0.00022904444,0.00007723193,0.0032331964],"category_scores_gemma":[0.000025733458,0.0002376408,0.0002505225,0.0005524188,0.00024770596,0.000257998,0.00008897683,0.00015908047,0.00058729236],"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":[0.000013450083,0.000045957386,0.3338665,0.0000040504874,0.00015254141,0.0000050792273,0.00058143435,0.000010495522,0.0000014241534,0.6635458,0.0014219566,0.0003513297],"study_design_scores_gemma":[0.00095678895,0.00011154176,0.14360113,0.000029263449,0.00005887378,0.000012417902,0.0006082156,0.0013197451,0.000041731473,0.53643644,0.31593746,0.00088641595],"about_ca_topic_score_codex":0.006404783,"about_ca_topic_score_gemma":0.002811276,"teacher_disagreement_score":0.36706528,"about_ca_system_score_codex":0.000020250087,"about_ca_system_score_gemma":0.000010857018,"threshold_uncertainty_score":0.997678},"labels":[],"label_agreement":null},{"id":"W2737704415","doi":"10.1111/joms.12290","title":"Global Cities, Connectivity, and the Location Choice of MNC Regional Headquarters","year":2017,"lang":"en","type":"article","venue":"Journal of Management Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"KU Leuven","keywords":"Economic geography; Geographical distance; Multinational corporation; Global city; Bridging (networking); Business; Regional science; Function (biology); Geography; Sociology; Computer science","score_opus":0.07038399981421681,"score_gpt":0.2816427525516135,"score_spread":0.21125875273739667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737704415","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":[0.8855041,0.02216736,0.0041838116,0.06821827,0.0007509696,0.0002506513,0.000021959724,0.0000043332793,0.01889854],"genre_scores_gemma":[0.9908489,0.008327523,0.00014277361,0.00024353422,0.000107320244,0.0000033387337,3.5453652e-7,0.0000031865143,0.00032306075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99920106,0.000014646479,0.0005326183,0.0001136632,0.000051103016,0.00008689661],"domain_scores_gemma":[0.99811053,0.00009655353,0.00146701,0.0002026731,0.00009922374,0.000024009316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008380906,0.0000811652,0.0004540527,0.00008934751,0.00025930573,0.0000717714,0.0002579461,0.000018444438,0.000006179585],"category_scores_gemma":[0.00012973596,0.000060942268,0.00013938635,0.000050787112,0.00035917034,0.0002169195,0.00012935934,0.000044775752,0.0000028681402],"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":[0.000098630015,0.000040854153,0.14431006,0.000077057586,0.0018537886,0.0000026872456,0.00028939155,0.00042886898,1.0207362e-7,0.84563565,0.00480505,0.0024578667],"study_design_scores_gemma":[0.002330212,0.00009361932,0.73705727,0.000071324364,0.00012276572,0.000006367544,0.0012295244,0.0011949476,6.8468904e-7,0.24164906,0.016122317,0.00012188846],"about_ca_topic_score_codex":0.0004315351,"about_ca_topic_score_gemma":0.00023484921,"teacher_disagreement_score":0.60398656,"about_ca_system_score_codex":0.00006539566,"about_ca_system_score_gemma":0.0000059320732,"threshold_uncertainty_score":0.24851535},"labels":[],"label_agreement":null},{"id":"W2748740686","doi":"","title":"What drives employment growth of Canadian Businesses? A Fresh Look at Indicators of Agglomeration Economies when Competition and Diversity Matter","year":2014,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Diversity (politics); Competition (biology); Economic geography; Business; Economics; Ecology; Economic growth; Political science; Biology","score_opus":0.02124162792181023,"score_gpt":0.18954784853406953,"score_spread":0.1683062206122593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748740686","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":[0.9869814,0.0002121261,0.00027088003,0.00087159965,0.000040444862,0.00021319966,0.0013153768,0.000004814299,0.010090193],"genre_scores_gemma":[0.9951845,0.00084310083,0.00028718254,0.000018998802,0.000016550872,1.0340317e-7,0.0000745342,0.000015416512,0.0035596157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985321,0.00010535531,0.0003815718,0.0004666524,0.00019168678,0.00032261346],"domain_scores_gemma":[0.9981344,0.00012521622,0.0008366404,0.00035118815,0.00029842975,0.00025416183],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009113513,0.00018234782,0.0006845805,0.0021719811,0.0005008766,0.000028977156,0.0005940617,0.0001911764,0.008153438],"category_scores_gemma":[0.00003516401,0.0002547033,0.0002561458,0.00052293995,0.0011588754,0.00041327908,0.00062236295,0.00016986724,0.00039652296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025733223,0.00013881858,0.9694357,0.00021498767,0.0005068788,0.0000140334,0.015980734,0.00008408445,0.00010912291,0.011870645,0.0011016777,0.0002859767],"study_design_scores_gemma":[0.006477365,0.00075961964,0.59782255,0.00073984975,0.00042892474,0.000012332544,0.33888084,0.0040534744,0.00043484545,0.036586422,0.012098836,0.0017049763],"about_ca_topic_score_codex":0.25416812,"about_ca_topic_score_gemma":0.22745973,"teacher_disagreement_score":0.3716132,"about_ca_system_score_codex":0.000145467,"about_ca_system_score_gemma":0.000096991134,"threshold_uncertainty_score":0.9999905},"labels":[],"label_agreement":null},{"id":"W2748841292","doi":"10.1016/j.apgeog.2015.11.013","title":"Corrigendum to “The spatial distribution of development in Europe and its underlying sustainability correlations” [Applied Geography Vol. 63, September 2015, 304–314]","year":2015,"lang":"en","type":"erratum","venue":"Applied Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geography; Distribution (mathematics); Sustainability; Economic geography; Regional science; Spatial distribution; Physical geography; Cartography; Ecology; Mathematics; Biology; Remote sensing","score_opus":0.02688003776455979,"score_gpt":0.22679271323449163,"score_spread":0.19991267546993183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748841292","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32183787,0.052322093,0.09894877,0.010366672,0.057079077,0.02495626,0.010105757,0.0005354673,0.42384803],"genre_scores_gemma":[0.985695,0.0009448296,0.00017972979,0.00025426626,0.00043171918,0.0006021818,0.0042548743,0.00009592199,0.0075414963],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99618196,0.000039299168,0.0017474457,0.0012077895,0.00019139585,0.0006321223],"domain_scores_gemma":[0.99724424,0.0000635697,0.0011612475,0.0006848656,0.0005818671,0.00026419212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015070575,0.0005763467,0.0012790833,0.00093231007,0.0002984844,0.0001734135,0.0005605214,0.00051196746,0.000094982635],"category_scores_gemma":[0.00013017213,0.00059088494,0.0002951589,0.0018946062,0.0001885054,0.0001339917,0.00033018025,0.0007315092,0.00014384881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027023352,0.00056481955,0.20599242,0.00045309856,0.0013583201,0.000006043439,0.00080793194,0.0032116417,0.0000019778463,0.18949589,0.59124273,0.006594888],"study_design_scores_gemma":[0.00050709036,0.000041571606,0.30119744,0.000027025766,0.00006664738,6.7710494e-7,0.00010228435,0.0015450586,0.0000025357997,0.012419687,0.6834339,0.0006560905],"about_ca_topic_score_codex":0.002114418,"about_ca_topic_score_gemma":0.0019017758,"teacher_disagreement_score":0.6638571,"about_ca_system_score_codex":0.00028562543,"about_ca_system_score_gemma":0.00030724768,"threshold_uncertainty_score":0.99965423},"labels":[],"label_agreement":null},{"id":"W2763073815","doi":"10.7867/2317-5443.2017v5n2p053-072","title":"Quem ganha e quem perde? Um ensaio comparativo entre a Região Sul do Brasil e o Canadá sobre a dinâmica do emprego industrial","year":2018,"lang":"pt","type":"article","venue":"Revista Brasileira de Desenvolvimento Regional","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.06892450997054099,"score_gpt":0.26618318378513084,"score_spread":0.19725867381458984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763073815","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":[0.9557555,0.013777597,0.0016249225,0.012395058,0.0015820824,0.0018892509,0.0014827191,0.00015367327,0.011339248],"genre_scores_gemma":[0.97378045,0.0018153095,0.00034215674,0.0038692267,0.0039478308,0.00012705039,0.00056025357,0.00023664866,0.01532109],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9909305,0.0004454287,0.0031519576,0.0027962842,0.0005355488,0.0021402945],"domain_scores_gemma":[0.9927083,0.0005681546,0.0024557377,0.002003418,0.0005072589,0.0017570945],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0016563858,0.0014916955,0.0029037315,0.0011917037,0.001096218,0.0021953674,0.0018336908,0.0011448996,0.0049343384],"category_scores_gemma":[0.0004796302,0.0017625343,0.0016389667,0.001423301,0.0010159388,0.0007629635,0.00050352066,0.0012635423,0.00216955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006449138,0.0008923406,0.21812786,0.00020963183,0.002240742,0.00016351433,0.004173438,0.00011637708,0.0001079507,0.30626523,0.46599188,0.0010661108],"study_design_scores_gemma":[0.00501835,0.000923825,0.020771978,0.0010209143,0.00056974054,0.00026166227,0.0029487186,0.015829863,0.00011106661,0.0026064105,0.9465323,0.0034051389],"about_ca_topic_score_codex":0.014854696,"about_ca_topic_score_gemma":0.0068412665,"teacher_disagreement_score":0.48054045,"about_ca_system_score_codex":0.00271394,"about_ca_system_score_gemma":0.0016573839,"threshold_uncertainty_score":0.9997832},"labels":[],"label_agreement":null},{"id":"W2767653682","doi":"10.4000/books.pum.3862","title":"Chapitre 3. La rationalité économique du choix résidentiel des familles","year":2015,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science","score_opus":0.026743760772341998,"score_gpt":0.1735217921977019,"score_spread":0.1467780314253599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767653682","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090650626,0.022894653,0.0036879913,0.0024496275,0.00031869754,0.00038346683,0.0010513915,0.00006722776,0.87849635],"genre_scores_gemma":[0.23105243,0.026117621,0.0017765318,0.00047211585,0.0006391144,0.00003472727,0.00028029026,0.00018229391,0.73944485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972913,0.00007312359,0.00094705814,0.0009434805,0.00008362566,0.000661376],"domain_scores_gemma":[0.99732655,0.0003067658,0.0010504131,0.0005974281,0.00022798829,0.0004908289],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00063460984,0.00067902525,0.0011768842,0.0005048665,0.0006196392,0.00027305173,0.00078442617,0.0008187166,0.006341918],"category_scores_gemma":[0.00009133023,0.00093124685,0.0008367716,0.000042123662,0.00062015915,0.00029644064,0.00067134335,0.00046011692,0.00078928436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017561327,0.00006061457,0.025627995,0.00011493618,0.0011929459,0.00025073488,0.0016822534,0.0058143507,0.0000199326,0.9507217,0.007965365,0.006373586],"study_design_scores_gemma":[0.001050872,0.000092718845,0.01900908,0.00013709546,0.0002718069,0.00012998398,0.000174949,0.018640669,0.000033952427,0.36364806,0.5958722,0.0009385813],"about_ca_topic_score_codex":0.03350705,"about_ca_topic_score_gemma":0.021030722,"teacher_disagreement_score":0.58790684,"about_ca_system_score_codex":0.0019294496,"about_ca_system_score_gemma":0.00018580978,"threshold_uncertainty_score":0.99998873},"labels":[],"label_agreement":null},{"id":"W2773119868","doi":"10.1080/00036846.2017.1409421","title":"Spatial analysis of change trend and influencing factors of total factor productivity in China’s regional construction industry","year":2017,"lang":"en","type":"article","venue":"Applied Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Total factor productivity; Economic geography; Convergence (economics); Productivity; Economics; Industry of China; Technological change; Econometrics; China; Geography; Economic growth; Macroeconomics","score_opus":0.06455940924725709,"score_gpt":0.23057857272568877,"score_spread":0.16601916347843168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773119868","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":[0.9974816,0.00006647044,0.0000699446,0.0002606683,0.000113302,0.00015989726,0.00039318381,0.000004859066,0.0014500971],"genre_scores_gemma":[0.99947876,0.00018288533,0.00015303816,0.000014236905,0.00007827359,0.000015533025,0.00004498284,0.000014014381,0.000018249419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842864,0.00000665293,0.0008461547,0.0004984725,0.000023840468,0.00019624141],"domain_scores_gemma":[0.99784726,0.000033248387,0.0015301858,0.0005005435,0.000014047517,0.00007473015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025136978,0.00018811718,0.0009757107,0.0007249533,0.00010819216,0.000055760076,0.00020325676,0.0002361095,0.00008548852],"category_scores_gemma":[0.000033745102,0.00022477676,0.00019896169,0.0001502173,0.00027642483,0.00035053404,0.000113661044,0.00019918702,0.0000019343722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032983815,0.000054378936,0.92293173,0.000019253328,0.00052289414,1.5852225e-7,0.0007597596,0.0015370903,0.00004756244,0.07041118,0.0000012117082,0.0036817978],"study_design_scores_gemma":[0.0003636726,0.00002266384,0.98786896,0.0000055407145,0.00006614827,7.0867577e-7,0.00012926663,0.006053344,0.0002724514,0.004950586,0.00005627476,0.00021036794],"about_ca_topic_score_codex":0.01506956,"about_ca_topic_score_gemma":0.0069267196,"teacher_disagreement_score":0.06546059,"about_ca_system_score_codex":0.000104105486,"about_ca_system_score_gemma":0.000024417695,"threshold_uncertainty_score":0.9914892},"labels":[],"label_agreement":null},{"id":"W2781587206","doi":"10.1111/tesg.12292","title":"Beyond Polycentricity: Does Stronger Integration Between Cities in Polycentric Urban Regions Improve Performance?","year":2017,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":148,"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":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Polycentricity; Metropolitan area; Economic geography; Urbanization; Economies of agglomeration; Regional science; Urban agglomeration; Quarter (Canadian coin); Population; Geography; Economics; Economic growth; Sociology; Corporate governance; Demography","score_opus":0.0180568238917942,"score_gpt":0.22172456859262057,"score_spread":0.20366774470082638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781587206","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":[0.9431864,0.0006482065,0.00033097528,0.005187816,0.00095687294,0.00045487803,0.00044862393,0.0000590672,0.048727147],"genre_scores_gemma":[0.9907361,0.0010317202,0.00023867606,0.00021488559,0.0015217102,0.00009223494,0.00014709623,0.00006189226,0.0059556807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99674356,0.000044819615,0.0013775144,0.0009229739,0.000072635165,0.0008385024],"domain_scores_gemma":[0.9972178,0.00014907765,0.0013661655,0.0009690776,0.000059966456,0.00023794717],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009925405,0.00045301704,0.0011637555,0.00068309443,0.00089854974,0.00071571354,0.0010142822,0.00042670724,0.00058689935],"category_scores_gemma":[0.00020569377,0.0004730502,0.00050874986,0.00018834206,0.00033213734,0.0012915678,0.00028559993,0.00056622934,0.00058341207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004475568,0.0000949131,0.8081613,0.000024831766,0.000268344,0.0000041455633,0.00059723185,0.000033309476,0.000011340433,0.17968118,0.00076882896,0.0103098005],"study_design_scores_gemma":[0.003536568,0.00017062864,0.8684952,0.00005028907,0.000112809095,0.0000022666914,0.0007720269,0.0060798028,0.0003853042,0.04995468,0.06888318,0.0015572308],"about_ca_topic_score_codex":0.008051048,"about_ca_topic_score_gemma":0.002702366,"teacher_disagreement_score":0.1297265,"about_ca_system_score_codex":0.00033244494,"about_ca_system_score_gemma":0.00013764699,"threshold_uncertainty_score":0.99977213},"labels":[],"label_agreement":null},{"id":"W2783121694","doi":"10.1007/s10640-017-0213-9","title":"Benefit-Transfer and Spatial Equilibrium","year":2018,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Economics; Transfer (computing); Mathematical economics; Microeconomics; Computer science","score_opus":0.009978237540434006,"score_gpt":0.15818226712780561,"score_spread":0.1482040295873716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783121694","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":[0.98614115,0.0010321807,0.00047555327,0.0010985755,0.000107995875,0.00009743523,0.00016133534,0.000013854269,0.010871899],"genre_scores_gemma":[0.9961577,0.0010932564,0.00013392635,0.00062446087,0.00037757246,0.0000069750745,0.00003256581,0.00002822747,0.0015452856],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876,0.000005729817,0.00043646505,0.0005283852,0.00001598816,0.00025342006],"domain_scores_gemma":[0.9995062,0.000022183884,0.00009520409,0.00020864262,0.0000017901104,0.00016600313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017779136,0.00018844173,0.00034920577,0.00010667196,0.0001635297,0.000089212495,0.000120740646,0.00011933939,0.0006629322],"category_scores_gemma":[0.0000029659689,0.00021111104,0.00009117783,0.000022216791,0.00040733008,0.00013974243,0.00014174012,0.00009997051,0.00036698263],"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":[0.00032038306,0.00039363283,0.5401502,0.00005299484,0.0007680274,0.0000104505625,0.002810813,0.00036336744,0.0014373326,0.3826338,0.0006702554,0.07038873],"study_design_scores_gemma":[0.0017847898,0.0004903414,0.22470826,0.0000109957355,0.000042176245,0.00005202686,0.00036435513,0.041780323,0.0007120737,0.059999827,0.6688875,0.0011673572],"about_ca_topic_score_codex":0.0004967078,"about_ca_topic_score_gemma":0.00016617517,"teacher_disagreement_score":0.66821724,"about_ca_system_score_codex":0.000055865832,"about_ca_system_score_gemma":0.000003124022,"threshold_uncertainty_score":0.8608858},"labels":[],"label_agreement":null},{"id":"W2786745611","doi":"10.3390/su10020390","title":"Transportation Accessibility and Location Choice of Japanese-Funded Electronic Information Manufacturing Firms in Shanghai","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Natural Science Foundation of China","keywords":"Business; Distribution (mathematics); Transport engineering; Globalization; Empirical research; Economic geography; Industrial organization; Geography; Economics; Engineering","score_opus":0.01270261285560113,"score_gpt":0.23819928976829338,"score_spread":0.22549667691269226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786745611","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":[0.997154,0.00009885897,0.0012336995,0.0007167753,0.00003318785,0.00026489908,0.000019447234,0.000010366452,0.00046878587],"genre_scores_gemma":[0.9997587,0.000030265506,0.000032840584,0.00004732608,0.000026302856,0.000021440754,0.000042264488,0.00000454669,0.000036264675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998791,0.00001583461,0.00069428975,0.00025790438,0.000030425352,0.00021059229],"domain_scores_gemma":[0.9991405,0.00004745596,0.00030710397,0.00023407253,0.00023246645,0.000038405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006592696,0.000097451906,0.00027071533,0.00021796253,0.000057360157,0.000035222944,0.00011441108,0.00008028144,0.00006687891],"category_scores_gemma":[0.00027601008,0.00011017379,0.0000498974,0.00029427424,0.000122041536,0.0008068796,0.000015672586,0.00008732658,0.000006921632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009678257,0.0001013274,0.9286073,0.0003969858,0.000031308748,1.6573514e-7,0.0039222813,0.00066268805,0.0000037585764,0.061068077,0.000009062331,0.00510025],"study_design_scores_gemma":[0.00030762464,0.000061220104,0.8725694,0.0000045189704,0.0000041529674,1.09601814e-7,0.0004593681,0.0062858583,0.00015577959,0.119410776,0.0006334657,0.00010775828],"about_ca_topic_score_codex":0.0142747825,"about_ca_topic_score_gemma":0.0080427155,"teacher_disagreement_score":0.0583427,"about_ca_system_score_codex":0.00052233896,"about_ca_system_score_gemma":0.0000723913,"threshold_uncertainty_score":0.99228925},"labels":[],"label_agreement":null},{"id":"W2789778828","doi":"10.1093/oxfordhb/9780198755609.013.100","title":"Introduction Economic Geography in the Twenty-first Century","year":2018,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic geography; Diversity (politics); Scale (ratio); Sustainability; Geography; Regional science; Sociology; Political science; Environmental ethics; Ecology; Cartography; Anthropology","score_opus":0.014323115435501368,"score_gpt":0.1686916200879308,"score_spread":0.1543685046524294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789778828","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012729123,0.00035614864,0.00011209132,0.00083260285,0.0007295481,0.00033946344,0.00039335774,0.000026014803,0.9959379],"genre_scores_gemma":[0.004231565,0.005115687,0.00008971657,0.0002278476,0.0021432198,0.000006266863,0.00033462566,0.00005475133,0.9877963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835545,0.000030414098,0.000496771,0.0007477528,0.000044944092,0.00032467433],"domain_scores_gemma":[0.99850804,0.00005594185,0.00063752604,0.00069904246,0.000026373235,0.000073064664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042581838,0.00031271542,0.0006071545,0.00063909526,0.0002420515,0.00012575796,0.00089542184,0.0003251597,0.00024366865],"category_scores_gemma":[0.0000063498214,0.00034660412,0.00048244992,0.00003203893,0.00023212959,0.0001600137,0.00018804688,0.00037736798,0.000057033132],"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":[0.000046176177,0.000026275335,0.0004909675,0.000028811699,0.00021701901,0.000011119539,0.00021048139,0.00014792547,3.3463422e-8,0.92521423,0.07331154,0.0002954424],"study_design_scores_gemma":[0.0003596934,0.00004795902,0.00036579202,0.000015776819,0.000048611568,0.0000030615474,0.00004321566,0.00057949376,5.049094e-7,0.010456103,0.9877108,0.00036902353],"about_ca_topic_score_codex":0.0012362356,"about_ca_topic_score_gemma":0.0010811592,"teacher_disagreement_score":0.9147581,"about_ca_system_score_codex":0.0005742885,"about_ca_system_score_gemma":0.000062031795,"threshold_uncertainty_score":0.9998986},"labels":[],"label_agreement":null},{"id":"W2791903988","doi":"10.1093/oxfordhb/9780198755609.013.12","title":"Institutions, Geography, and Economic Life","year":2018,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Agency (philosophy); Institutional change; Political science; Work (physics); Institutional economics; Economic geography; Political economy; Sociology; Geography; Social science; Public administration; Economics; Neoclassical economics","score_opus":0.03399708889222055,"score_gpt":0.18868137933638868,"score_spread":0.15468429044416812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791903988","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014965576,0.00072168454,0.00046799265,0.00011699422,0.00030198361,0.00019543283,0.00092274754,0.000044429453,0.9957322],"genre_scores_gemma":[0.0038524643,0.003704801,0.00022537675,0.00018282946,0.0003579204,0.000001982788,0.00014078253,0.00003709083,0.99149674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986066,0.0000116510855,0.00041471224,0.00068099407,0.000026860596,0.00025916874],"domain_scores_gemma":[0.99873513,0.000034664215,0.0005209572,0.0004442084,0.00002995981,0.0002350533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016714988,0.0003026413,0.0006865317,0.0004982802,0.00028291397,0.00011392658,0.00043071117,0.00036496972,0.00014382675],"category_scores_gemma":[0.000008462663,0.00041465813,0.00034064837,0.000012597585,0.0004201664,0.00015911789,0.0003084328,0.00023067437,0.00003614143],"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":[0.000024448746,0.000008629028,0.0004650201,0.000028745428,0.00038685984,0.000007459014,0.000031517116,0.00002830012,4.521522e-8,0.9777225,0.021051878,0.00024454977],"study_design_scores_gemma":[0.00038541507,0.000045017503,0.00023190926,0.000022572773,0.0000718361,0.0000026494392,0.000007834833,0.00075058214,6.127724e-7,0.015548002,0.9824914,0.00044220328],"about_ca_topic_score_codex":0.0011768107,"about_ca_topic_score_gemma":0.00029239352,"teacher_disagreement_score":0.96217453,"about_ca_system_score_codex":0.00029691253,"about_ca_system_score_gemma":0.00021197967,"threshold_uncertainty_score":0.99983054},"labels":[],"label_agreement":null},{"id":"W2792853576","doi":"10.1093/oxfordhb/9780198755609.013.23","title":"Talent, Skills, and Urban Economies","year":2018,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Human capital; Economic geography; Economies of agglomeration; Human capital theory; Urban economics; Capital (architecture); Creative class; Economy; Economic growth; Regional science; Business; Economics; Geography; Political science; Creativity","score_opus":0.01727182165941312,"score_gpt":0.16899281933772764,"score_spread":0.1517209976783145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792853576","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015109319,0.00057819986,0.00020627618,0.00007704781,0.00023642142,0.00019623053,0.0008028749,0.00004055536,0.9963515],"genre_scores_gemma":[0.0015756682,0.0024191146,0.00016961363,0.00011453819,0.00032478964,0.0000014109485,0.00010701824,0.00004386719,0.99524397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985299,0.000011638483,0.00040843058,0.00073234906,0.000028515522,0.00028916437],"domain_scores_gemma":[0.9986607,0.000048565285,0.0006122725,0.00046727905,0.00003992007,0.0001712663],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015667532,0.00033748095,0.0007746514,0.00035343695,0.00021592624,0.000117592805,0.00044482513,0.00037068367,0.00016647084],"category_scores_gemma":[0.000008370502,0.0004531615,0.00031034835,0.000012525789,0.00033080435,0.00015351927,0.00035097287,0.00022817998,0.00002885839],"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":[0.000016445389,0.0000217234,0.0005606967,0.000044127544,0.00036927004,0.0000125342785,0.000124027,0.000004618834,8.104224e-8,0.94046813,0.05798647,0.00039188942],"study_design_scores_gemma":[0.00038814152,0.00005784318,0.00017851232,0.000029099898,0.00006394819,0.0000032238563,0.0000103816865,0.0003437059,0.0000023791404,0.01859818,0.9798349,0.0004896866],"about_ca_topic_score_codex":0.00023172345,"about_ca_topic_score_gemma":0.000121681245,"teacher_disagreement_score":0.92186993,"about_ca_system_score_codex":0.00030503943,"about_ca_system_score_gemma":0.00006509497,"threshold_uncertainty_score":0.99979204},"labels":[],"label_agreement":null},{"id":"W2793929838","doi":"10.1007/s12076-018-0201-x","title":"Exhaustible resources flows in a spatial context","year":2018,"lang":"en","type":"article","venue":"Letters in Spatial and Resource Sciences","topic":"Regional Economics and Spatial Analysis","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":"Université de Moncton","funders":"","keywords":"Endowment; Context (archaeology); Resource (disambiguation); Economics; Production (economics); Non-renewable resource; Natural resource; Economic geography; Factors of production; Natural resource economics; Unit (ring theory); Comparative advantage; Econometrics; Microeconomics; Geography; Ecology; International trade; Computer science; Mathematics; Renewable energy","score_opus":0.0237771349317371,"score_gpt":0.2128757357899356,"score_spread":0.1890986008581985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793929838","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":[0.9761206,0.0005304231,0.0010934232,0.011824573,0.00020660859,0.00013138514,0.000014734293,0.000013490613,0.010064786],"genre_scores_gemma":[0.9961451,0.00007382456,0.00025585704,0.0029295017,0.00041171507,0.000013208755,0.0000028299733,0.000010167425,0.00015778445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998153,0.00003488627,0.0006361323,0.00067292544,0.00007990264,0.00042318855],"domain_scores_gemma":[0.9994178,0.000078562494,0.00022327049,0.00018103137,0.000011271604,0.00008810796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091589626,0.00017745628,0.00043342554,0.0006349374,0.00023914006,0.00017213218,0.00037704138,0.0000911276,0.00022667783],"category_scores_gemma":[0.00005008343,0.00016791346,0.00007813433,0.0005218746,0.0007896216,0.0001719158,0.00012578937,0.00016621679,0.00009150284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011831468,0.00012536207,0.94272417,0.000031041815,0.000021964568,0.000033093722,0.0052250735,0.0015389868,0.00038714657,0.022994513,0.00088802614,0.025912305],"study_design_scores_gemma":[0.0034552624,0.0008906157,0.51563704,0.00022003574,0.000016657734,0.00002419645,0.0021562318,0.21255052,0.0004273351,0.025976665,0.23685977,0.0017856918],"about_ca_topic_score_codex":0.047438353,"about_ca_topic_score_gemma":0.037473485,"teacher_disagreement_score":0.42708716,"about_ca_system_score_codex":0.000053932174,"about_ca_system_score_gemma":0.00001415553,"threshold_uncertainty_score":0.98009014},"labels":[],"label_agreement":null},{"id":"W2796703512","doi":"10.1111/jors.12436","title":"Manufacturing (co)agglomeration in a transition country: Evidence from Russia","year":2019,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"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; National Research University Higher School of Economics","keywords":"Economies of agglomeration; Proxy (statistics); Instrumental variable; Estimation; Variable (mathematics); Manufacturing; Industrial organization; Business; Economic geography; Economics; Econometrics; Microeconomics; Statistics; Marketing; Mathematics","score_opus":0.034663671508580934,"score_gpt":0.23943163851059449,"score_spread":0.20476796700201355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796703512","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":[0.9924483,0.00077727105,0.001649566,0.003891288,0.00023490166,0.00006345611,0.000010750879,0.000002530315,0.00092197355],"genre_scores_gemma":[0.9980407,0.0007483216,0.0006364757,0.00036593917,0.00014259407,0.0000011504698,0.0000028661184,0.0000051235993,0.000056840898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987054,0.000011568395,0.00067376543,0.0002662995,0.00015769148,0.0001852734],"domain_scores_gemma":[0.9989781,0.00008609471,0.00064532505,0.00014436951,0.000053229607,0.000092914175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011578825,0.00009242946,0.00032289882,0.0004832783,0.00007161126,0.00012773079,0.0003725955,0.000047931953,0.0002426542],"category_scores_gemma":[0.000046604582,0.000088744346,0.00012173933,0.00033870272,0.0001107525,0.0014080917,0.00001649393,0.00016034606,0.00013165749],"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":[0.0009377029,0.00057679694,0.54641175,0.00008710528,0.0002640334,0.00012317451,0.006202637,0.1358449,0.026027614,0.27459875,0.0019364174,0.0069890968],"study_design_scores_gemma":[0.0017441155,0.00035445095,0.7963218,0.0005276643,0.000018426039,0.0000839045,0.00035652195,0.0752811,0.0030650855,0.103122614,0.018468883,0.00065543916],"about_ca_topic_score_codex":0.0011814759,"about_ca_topic_score_gemma":0.00012578892,"teacher_disagreement_score":0.24991003,"about_ca_system_score_codex":0.00029382948,"about_ca_system_score_gemma":0.00011860823,"threshold_uncertainty_score":0.36188895},"labels":[],"label_agreement":null},{"id":"W2804767123","doi":"","title":"Re-examining the value of infrastructure to support urban growth and liveability","year":2017,"lang":"en","type":"dissertation","venue":"UCL Discovery (University College London)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Externality; Sustainability; Built environment; Urban planning; Value (mathematics); Transformative learning; Business; Environmental planning; Geography; Economics; Engineering; Computer science; Sociology; Civil engineering","score_opus":0.01376383562921592,"score_gpt":0.19447488339478064,"score_spread":0.1807110477655647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804767123","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":[0.9445752,0.00022189882,0.00015671083,0.00084083225,0.0004197167,0.0003743891,0.0031822326,0.000010817586,0.050218232],"genre_scores_gemma":[0.9637644,0.00042519238,0.00012334027,0.00011347523,0.00008332071,0.0000022681518,0.00032636692,0.000025842928,0.035135783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99850124,0.000031907155,0.00044894515,0.0006872586,0.00007733537,0.00025328828],"domain_scores_gemma":[0.99804825,0.00011278431,0.00095576554,0.00068548747,0.00007283011,0.00012486965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000321463,0.00029350226,0.0008596822,0.000413691,0.0005111681,0.000114296236,0.00080121716,0.00026917522,0.0002357837],"category_scores_gemma":[0.00013964834,0.00031120467,0.00029838562,0.0002438245,0.0001475604,0.00062927295,0.00017218172,0.00028101864,0.00003185712],"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":[0.0005842746,0.00010104857,0.1373897,0.0003552583,0.0007790302,0.000040397284,0.004582024,0.00024746126,0.000031212476,0.8446564,0.010562485,0.0006706928],"study_design_scores_gemma":[0.0011401705,0.00042840184,0.9298455,0.00011719627,0.00026777716,0.0000034129484,0.009635283,0.0016494888,0.000066642526,0.024155442,0.031657953,0.0010327259],"about_ca_topic_score_codex":0.003677942,"about_ca_topic_score_gemma":0.0036874155,"teacher_disagreement_score":0.82050097,"about_ca_system_score_codex":0.00016235204,"about_ca_system_score_gemma":0.0001523651,"threshold_uncertainty_score":0.999934},"labels":[],"label_agreement":null},{"id":"W2805920295","doi":"10.3917/reru.183.0619","title":"Le Maup et l’insoluble question de frontière optimale","year":2018,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","score_opus":0.019976054645779232,"score_gpt":0.2219743154505925,"score_spread":0.20199826080481328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805920295","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23372725,0.05136405,0.080024116,0.4231482,0.00894323,0.0012377726,0.0022562565,0.00021710101,0.19908202],"genre_scores_gemma":[0.6828086,0.011205272,0.027351655,0.0047402075,0.0054904497,0.00012521858,0.0005602874,0.00019309402,0.26752526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99611,0.0001258171,0.0015169856,0.0012353804,0.00005458346,0.00095719635],"domain_scores_gemma":[0.9973965,0.00020630354,0.0009806996,0.00084293267,0.00018926895,0.00038428346],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015384236,0.00052032125,0.0012314444,0.0004688421,0.0004036945,0.00030506725,0.000631028,0.0005120112,0.002258854],"category_scores_gemma":[0.00018441166,0.0007054435,0.0007551107,0.00036523593,0.0005311676,0.0008439157,0.00022711039,0.00043963123,0.0035492158],"study_design_candidate":"theoretical_or_conceptual","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":[0.0000915669,0.00043921501,0.016543783,0.000114885464,0.00044838694,0.000022170556,0.00037845387,0.006839804,0.000020498876,0.9513589,0.02009187,0.0036504734],"study_design_scores_gemma":[0.0010916134,0.000243904,0.0063839024,0.00016826663,0.00007528748,0.00005956431,0.00007012806,0.16822161,0.000053587006,0.07338091,0.74946445,0.0007867657],"about_ca_topic_score_codex":0.007536642,"about_ca_topic_score_gemma":0.004184468,"teacher_disagreement_score":0.87797797,"about_ca_system_score_codex":0.001012206,"about_ca_system_score_gemma":0.00051718415,"threshold_uncertainty_score":0.9995397},"labels":[],"label_agreement":null},{"id":"W2807870577","doi":"10.1002/mde.2938","title":"The university's Janus face: The innovation–inequality nexus","year":2018,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nexus (standard); Inequality; Boosting (machine learning); Janus; Face (sociological concept); Economic inequality; Economic geography; Key (lock); Economics; Sociology; Engineering; Computer science","score_opus":0.03365873334513164,"score_gpt":0.21634557363153328,"score_spread":0.18268684028640164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807870577","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":[0.93808234,0.0003382668,0.01678501,0.008001023,0.001341667,0.00020504257,0.00008516382,0.000022661307,0.03513881],"genre_scores_gemma":[0.994988,0.0012223808,0.00030402988,0.00078914134,0.000513273,0.0000031560016,0.000010456106,0.000013926572,0.0021556173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986987,0.000018189443,0.00063220086,0.00040067837,0.00002301188,0.00022720937],"domain_scores_gemma":[0.9987244,0.00028046736,0.0003925245,0.00048813337,0.00005736924,0.000057103294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010664675,0.00014555997,0.0002856314,0.0001587623,0.0009979638,0.00036803135,0.00046911347,0.000081221755,0.00017173319],"category_scores_gemma":[0.0001169998,0.00010917191,0.00010744398,0.00032677842,0.00034941503,0.0002249458,0.0002502954,0.00009836749,0.0005464434],"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":[0.000102661266,0.000012075284,0.0009819738,0.0000013488517,0.00006379413,8.537915e-7,0.0001303941,0.00020572053,8.270187e-7,0.96215236,0.0029549955,0.033392973],"study_design_scores_gemma":[0.0003325778,0.000036532816,0.008443578,0.0000017256774,0.000006404423,0.0000019664642,0.00027871673,0.017722566,0.000003078907,0.40674978,0.56627977,0.00014333281],"about_ca_topic_score_codex":0.00038543702,"about_ca_topic_score_gemma":0.0005722032,"teacher_disagreement_score":0.56332475,"about_ca_system_score_codex":0.00007451314,"about_ca_system_score_gemma":0.000018616649,"threshold_uncertainty_score":0.7675632},"labels":[],"label_agreement":null},{"id":"W284040088","doi":"","title":"Productivity Disparities between American and Canadian High Tech Worker: The Human Capital and Knowledge spillovers/Disparites De Productivite Des Travailleurs Du Haut Savoir Canadiens et Americains : Le Capital Humain et Les Economies D'agglomeration Du Savoir","year":2009,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Human capital; Metropolitan area; Externality; Workforce; Economics; Labour economics; Knowledge economy; Demographic economics; Economy; Economic growth; Geography","score_opus":0.0285777563469066,"score_gpt":0.22166355124343876,"score_spread":0.19308579489653216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W284040088","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":[0.82568026,0.008426624,0.000119549055,0.16445628,0.0002526847,0.00018509665,0.00034764982,0.000004315063,0.00052755437],"genre_scores_gemma":[0.99426484,0.0030575024,0.00047310969,0.0008566784,0.00060267636,0.0000063048988,0.000018979239,0.000025472913,0.00069443294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997222,0.0001701814,0.0007543744,0.0007252501,0.00010858273,0.0010195795],"domain_scores_gemma":[0.9968873,0.0002580743,0.00082777214,0.00030073474,0.00028777303,0.0014382949],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0029588845,0.00037996165,0.0007859688,0.0011051696,0.0024027613,0.00094136456,0.00061478396,0.00011844311,0.000024661615],"category_scores_gemma":[0.00062609266,0.0003893914,0.00018194993,0.00074074056,0.006867277,0.0015043443,0.000047135058,0.00057770725,0.000003349237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008344227,0.000057882244,0.6265966,0.00001913998,0.00014688053,0.00003646833,0.008835157,0.00140848,0.00003055543,0.34764266,0.0019486865,0.013269082],"study_design_scores_gemma":[0.00026800093,0.0003373143,0.9325679,0.000088517416,0.000053924286,0.0002755424,0.002410783,0.00049114507,0.000015943828,0.026811102,0.036192313,0.00048749076],"about_ca_topic_score_codex":0.9223701,"about_ca_topic_score_gemma":0.986147,"teacher_disagreement_score":0.32083157,"about_ca_system_score_codex":0.0020807525,"about_ca_system_score_gemma":0.005419306,"threshold_uncertainty_score":0.9998558},"labels":[],"label_agreement":null},{"id":"W2884433921","doi":"10.11575/prism/32391","title":"Calgary Region Industrial Land Inventory","year":2016,"lang":"en","type":"article","venue":"Open MIND","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land use; Engineering; Civil engineering","score_opus":0.1328743098537583,"score_gpt":0.24807873334259115,"score_spread":0.11520442348883284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884433921","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":[0.81709653,0.00025502976,0.0014970264,0.006695973,0.0004401497,0.000253885,0.00006394549,0.00000223695,0.17369525],"genre_scores_gemma":[0.97976804,0.00015769919,0.00026797524,0.0001391447,0.0002680622,0.000013796684,0.0000129665295,0.0000145243075,0.019357817],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.999021,0.000012053315,0.00040941802,0.00036383347,0.000019366898,0.00017430776],"domain_scores_gemma":[0.9993427,0.000030045483,0.0002465731,0.00026980304,0.000013594151,0.000097289],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00032342627,0.00009900512,0.00029737124,0.000118461685,0.00006728904,0.00011330472,0.00038540285,0.00010516801,0.0036007573],"category_scores_gemma":[0.00005357786,0.00008129243,0.000103129576,0.000094242074,0.000049672984,0.0002922826,0.0001438397,0.00006114782,0.0032710144],"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":[0.00012568268,0.00014172122,0.6581104,0.0000025049465,0.00023255269,0.000032791893,0.00015556549,0.000019676596,0.00003655552,0.06480687,0.012552445,0.26378325],"study_design_scores_gemma":[0.0013811495,0.000060539212,0.0047541345,0.000022581375,0.000009152575,0.0000053749454,0.000010071941,0.00056657864,0.00009463466,0.018969886,0.97384465,0.00028124196],"about_ca_topic_score_codex":0.0011232463,"about_ca_topic_score_gemma":0.00036916733,"teacher_disagreement_score":0.9612922,"about_ca_system_score_codex":0.000084353924,"about_ca_system_score_gemma":0.000032762684,"threshold_uncertainty_score":0.99750507},"labels":[],"label_agreement":null},{"id":"W2888363462","doi":"","title":"Implicit regional economic goals and objectives: A study of U.S. development programs","year":2018,"lang":"en","type":"preprint","venue":"The Research Repository @ WVU (West Virginia University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Human capital; Regional development; Business; Regional science; Economic growth; Economics; Public economics; Geography","score_opus":0.07742194411809322,"score_gpt":0.2790047657369253,"score_spread":0.20158282161883206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888363462","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":[0.98100823,0.0004114007,0.000048375645,0.00045829915,0.0002028831,0.0010327331,0.00003806726,0.000027282289,0.016772753],"genre_scores_gemma":[0.99542916,0.00060786307,0.00012747357,0.000010198933,0.00025510113,0.000029384786,0.000023839873,0.000037218033,0.0034797394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712676,0.0002761662,0.0007699726,0.0011515699,0.00016782396,0.0005077182],"domain_scores_gemma":[0.99746686,0.00023447328,0.0008272284,0.0010259295,0.00023361042,0.00021187072],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018100169,0.00033986036,0.0008951552,0.0011495431,0.0007653081,0.00023746552,0.001311557,0.0002631357,0.000056399283],"category_scores_gemma":[0.000029754987,0.00034029575,0.00023993729,0.00036006235,0.00077859056,0.00017468144,0.0018104372,0.0007688937,0.000116682735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016402247,0.0040414645,0.6436806,0.0007165025,0.009719728,0.00028388266,0.033861283,0.0024866047,0.00015525102,0.29779175,0.0017339379,0.003888821],"study_design_scores_gemma":[0.005602216,0.0038624846,0.7127826,0.00054195925,0.00038916265,0.00007525688,0.02657662,0.008459107,0.00038826338,0.03562301,0.20244274,0.0032565568],"about_ca_topic_score_codex":0.009087113,"about_ca_topic_score_gemma":0.0019814589,"teacher_disagreement_score":0.26216874,"about_ca_system_score_codex":0.0008461239,"about_ca_system_score_gemma":0.0005558362,"threshold_uncertainty_score":0.99990493},"labels":[],"label_agreement":null},{"id":"W2890061449","doi":"","title":"Immigration, Attraction or Local Production? Some Determinants of Local Human Capital Change in Canada","year":2012,"lang":"en","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Attractiveness; Economic geography; Endowment; Amenity; Immigration; Human capital; Centrality; Locality; Economics; Endogenous growth theory; Geography; Political science; Economic growth; Mathematics; Law","score_opus":0.0974765106703526,"score_gpt":0.3140408134306932,"score_spread":0.21656430276034058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890061449","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":[0.9840316,0.00036218984,0.0006172727,0.010475307,0.002801044,0.00064245006,0.00082118786,0.000004683004,0.00024422686],"genre_scores_gemma":[0.9972388,0.000030482563,0.00007318496,0.00007844513,0.00040041344,0.00018481287,0.00028498156,0.000016273108,0.0016925618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973748,0.00003723166,0.0008411687,0.0005586316,0.00054808345,0.00064011116],"domain_scores_gemma":[0.9984865,0.00010917424,0.00035106973,0.00027993435,0.0005400643,0.00023325018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022675823,0.00016606585,0.0003854188,0.0006113437,0.00058667356,0.00008850908,0.00035332364,0.000067193396,0.00013487197],"category_scores_gemma":[0.000266768,0.00017271376,0.00007710867,0.0007966627,0.00037692423,0.0011956369,0.000069661066,0.00021135386,0.000008967062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00022352287,0.0005238714,0.19069983,0.00026651603,0.00019253425,0.00001942319,0.00061621965,0.0368639,0.00015922796,0.73383707,0.032173812,0.004424049],"study_design_scores_gemma":[0.0014014905,0.00015668532,0.36478773,0.00010801345,0.000016756376,0.000019682313,0.0024950525,0.077679016,0.0039275517,0.015055883,0.5332586,0.0010935068],"about_ca_topic_score_codex":0.99850446,"about_ca_topic_score_gemma":0.9999932,"teacher_disagreement_score":0.71878123,"about_ca_system_score_codex":0.004555845,"about_ca_system_score_gemma":0.0061897864,"threshold_uncertainty_score":0.9994442},"labels":[],"label_agreement":null},{"id":"W2890078521","doi":"10.3386/w25047","title":"The Making of the Modern Metropolis: Evidence from London","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Art","score_opus":0.4671240586624403,"score_gpt":0.4755738937202046,"score_spread":0.00844983505776431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890078521","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033624653,0.05486865,0.00029779365,0.020348763,0.004158669,0.0015706363,0.0029573643,0.00002210372,0.88215137],"genre_scores_gemma":[0.97880334,0.010205612,0.0001557645,0.00005156245,0.0014486886,0.0000728243,0.00008129506,0.00005727864,0.009123647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99590653,0.0001437825,0.0020619999,0.00080183917,0.00062188733,0.00046395624],"domain_scores_gemma":[0.9933024,0.0018155214,0.0022769189,0.0010757133,0.0014745749,0.00005487869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008412803,0.00027437936,0.0009856775,0.00066196505,0.00042319697,0.00016848712,0.0021893154,0.00038503885,0.00062169175],"category_scores_gemma":[0.0033081921,0.00021002413,0.0007836455,0.00035462415,0.0010089551,0.00022976079,0.0006396661,0.0006869061,0.00027234651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001324769,0.00009048215,0.019374672,0.000120593744,0.0017578473,8.920872e-7,0.00024546,0.0018855953,0.00003731927,0.8381909,0.13618481,0.0019789715],"study_design_scores_gemma":[0.0001777311,0.000054122243,0.0034599833,0.00022846494,0.000026325755,0.0000021948485,0.000031405707,0.0145621635,0.00010178832,0.9086597,0.072463006,0.00023312977],"about_ca_topic_score_codex":0.026250888,"about_ca_topic_score_gemma":0.005285332,"teacher_disagreement_score":0.9451787,"about_ca_system_score_codex":0.0021364843,"about_ca_system_score_gemma":0.0017834037,"threshold_uncertainty_score":0.9802334},"labels":[],"label_agreement":null},{"id":"W2890808209","doi":"10.5539/ijef.v10n10p1","title":"Efficient Urbanization for Mexican Development","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urbanization; Directory; Population; Metropolitan area; Government (linguistics); Context (archaeology); Data science; Regional science; Economic growth; Computer science; Economics; Geography; Sociology","score_opus":0.023354983099673144,"score_gpt":0.21812608232014205,"score_spread":0.1947710992204689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890808209","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":[0.9722076,0.000651133,0.021284893,0.0028291894,0.0011971766,0.0000766128,0.00005592595,0.0000024172632,0.0016950589],"genre_scores_gemma":[0.9895902,0.001018754,0.008208038,0.00031035193,0.00060440897,0.000004626527,0.0000067140218,0.000012126613,0.00024472788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888456,0.0000027784197,0.00078717305,0.00018724389,0.00001937303,0.000118848315],"domain_scores_gemma":[0.9987506,0.000033958768,0.00083773356,0.00007892448,0.00025858017,0.000040198232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040655394,0.00009452757,0.00027360907,0.00022070287,0.00007974933,0.00008415592,0.00025600332,0.00004691276,0.000032202064],"category_scores_gemma":[0.000053500986,0.0001035532,0.00011011945,0.00004394709,0.000071507086,0.000094886556,0.000040773757,0.000046902896,0.000025552883],"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":[0.00009436641,0.00007030023,0.0023165843,0.0000030447675,0.00022256387,0.0000012720284,0.0003404317,0.010893265,0.000005605911,0.9758214,0.00036316112,0.009868042],"study_design_scores_gemma":[0.0012048472,0.00019625314,0.007082582,0.000023515662,0.000010417639,0.000031931835,0.000036646066,0.25938585,0.00035513248,0.08725767,0.64413726,0.00027785645],"about_ca_topic_score_codex":0.000024841525,"about_ca_topic_score_gemma":0.00003830371,"teacher_disagreement_score":0.8885637,"about_ca_system_score_codex":0.000111575006,"about_ca_system_score_gemma":0.000052524174,"threshold_uncertainty_score":0.42227766},"labels":[],"label_agreement":null},{"id":"W2891605688","doi":"10.3386/w18103","title":"Quality of Life, Firm Productivity, and the Value of Amenities across Canadian Cities","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Simon Fraser University; McGill University; Queen's University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Productivity; Value (mathematics); Quality (philosophy); Business; Economics; Economic geography; Agricultural economics; Economic growth; Statistics; Mathematics","score_opus":0.3495422998968814,"score_gpt":0.4393091852884984,"score_spread":0.08976688539161698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891605688","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":[0.90538913,0.005510764,0.00001831512,0.006232528,0.00032101595,0.00058254256,0.0026146527,0.0000037225798,0.0793273],"genre_scores_gemma":[0.9975825,0.0011102433,0.00010046232,0.000033542874,0.00030110907,0.00007891505,0.00012548789,0.000021753376,0.0006459871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99700725,0.00018701261,0.0016955772,0.00050622114,0.00018811047,0.00041582034],"domain_scores_gemma":[0.9962871,0.0011498033,0.0013519956,0.00052215526,0.00052050553,0.00016844526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009990256,0.00020693902,0.0012961575,0.0007180947,0.00016936418,0.00007810534,0.0007011577,0.00027252804,0.00022062224],"category_scores_gemma":[0.0011122682,0.0002004591,0.0003704576,0.00013692433,0.0017764012,0.00018235327,0.0006128561,0.0005213998,0.000021803151],"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":[0.00010420635,0.00005152601,0.048751526,0.00026534306,0.000467074,5.8034153e-8,0.0009099785,0.0031327482,0.0000034108905,0.94582146,0.0003802484,0.00011239162],"study_design_scores_gemma":[0.0006059643,0.000025781605,0.039893627,0.000029048451,0.000008532244,6.7159874e-7,0.00033407306,0.0035339084,0.000045049575,0.9543143,0.0010076785,0.000201344],"about_ca_topic_score_codex":0.5501332,"about_ca_topic_score_gemma":0.09459411,"teacher_disagreement_score":0.45553914,"about_ca_system_score_codex":0.00047544084,"about_ca_system_score_gemma":0.0009813952,"threshold_uncertainty_score":0.92192715},"labels":[],"label_agreement":null},{"id":"W2899503691","doi":"10.1111/obes.12271","title":"The migration response to local labour market shocks: Evidence from EU regions during the global economic crisis","year":2018,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Unemployment; Economics; Context (archaeology); Estimation; Economic geography; Demographic economics; Geography; Macroeconomics","score_opus":0.015986053194336134,"score_gpt":0.22130917333273406,"score_spread":0.20532312013839793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899503691","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":[0.91640216,0.0009866764,0.0194157,0.056478564,0.0004741903,0.00029008003,0.004230758,0.000012481787,0.0017094138],"genre_scores_gemma":[0.98178613,0.011239809,0.0041738027,0.0009921911,0.00027954023,0.00003394389,0.000016909422,0.000026994514,0.0014506729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979759,0.00006554964,0.0010464207,0.0005483777,0.000028182934,0.0003355699],"domain_scores_gemma":[0.997707,0.00082506484,0.0006283985,0.00060076866,0.000078880985,0.00015987136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011020456,0.00023344549,0.00048494435,0.00008060691,0.00057636487,0.00028777414,0.0005058277,0.00009823374,0.0006273471],"category_scores_gemma":[0.00028951088,0.00019954823,0.00016218449,0.00008386296,0.00036990942,0.00007184313,0.00021072867,0.000107585845,0.00019045235],"study_design_candidate":"theoretical_or_conceptual","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":[0.0017812022,0.000041495423,0.024295479,0.00001878044,0.00042796196,0.0000029624327,0.00044505362,0.002357218,0.0000035964792,0.91149676,0.056643352,0.0024861633],"study_design_scores_gemma":[0.00036396773,0.00020070709,0.06562961,0.000021622702,0.00003338841,0.0000051650973,0.00038759608,0.03196841,0.000018597619,0.08948723,0.8115517,0.0003320086],"about_ca_topic_score_codex":0.009154366,"about_ca_topic_score_gemma":0.014169416,"teacher_disagreement_score":0.8220095,"about_ca_system_score_codex":0.0003101795,"about_ca_system_score_gemma":0.00006574138,"threshold_uncertainty_score":0.99744374},"labels":[],"label_agreement":null},{"id":"W2903641289","doi":"10.4324/9781315168449-3","title":"Urban Growth and Regional Contagion","year":2017,"lang":"en","type":"book-chapter","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Geography","score_opus":0.08139997707690866,"score_gpt":0.2328927531222584,"score_spread":0.15149277604534975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903641289","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032050125,0.13229068,0.000033189564,0.004516812,0.0005004729,0.00020094524,0.0002532517,0.000033532833,0.8618506],"genre_scores_gemma":[0.09392842,0.06372144,0.00008987114,0.00072166795,0.0011357105,0.000025547715,0.000076824945,0.00008410433,0.8402164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982877,0.0000036674714,0.00068412523,0.0007362854,0.00004934685,0.00023888073],"domain_scores_gemma":[0.99825466,0.00008279627,0.0010081305,0.00047165994,0.000081247046,0.00010152972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020000218,0.00040412747,0.001280162,0.000288859,0.00039450428,0.0001206048,0.0002794312,0.00024107803,0.000105177045],"category_scores_gemma":[0.000070336646,0.00042875714,0.00035381783,0.000010312927,0.0004443948,0.00014535764,0.00021601784,0.0002363865,0.0003493273],"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":[0.000011868952,0.0000075147323,0.0042810715,0.000046775698,0.0009954714,0.000010614271,0.0002278639,2.6627302e-7,2.2076935e-7,0.8881005,0.10605666,0.00026114448],"study_design_scores_gemma":[0.00025539237,0.000048990427,0.00088541454,0.00006674129,0.00006182063,0.000004426905,0.000015696873,0.000035212863,5.409365e-7,0.34004536,0.6581562,0.0004241801],"about_ca_topic_score_codex":0.0002586532,"about_ca_topic_score_gemma":0.00019257997,"teacher_disagreement_score":0.5520996,"about_ca_system_score_codex":0.00010093461,"about_ca_system_score_gemma":0.000019112766,"threshold_uncertainty_score":0.9998164},"labels":[],"label_agreement":null},{"id":"W2904867082","doi":"10.3917/reru.185.1155","title":"De l’importance de la proximité dans la capacité de résister aux chocs exogènes","year":2018,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Humanities; Political science; Art","score_opus":0.023149997088746464,"score_gpt":0.22626428886750607,"score_spread":0.20311429177875961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904867082","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":[0.83048606,0.013787225,0.01032379,0.036258835,0.00085233996,0.00046724614,0.0007898368,0.00007912726,0.106955536],"genre_scores_gemma":[0.8701134,0.008183102,0.010212667,0.004466461,0.0041799205,0.0002066988,0.00014168226,0.0001989406,0.10229717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957833,0.00017560643,0.0015693521,0.0011754968,0.000060867394,0.0012353557],"domain_scores_gemma":[0.99669516,0.00068582577,0.0010411151,0.00091488124,0.00013921369,0.00052382716],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020115743,0.0006166803,0.0012545611,0.00040955588,0.00039532644,0.00041399422,0.00081622496,0.0007516859,0.0014167348],"category_scores_gemma":[0.0004073161,0.00076857494,0.0008547654,0.00038903597,0.0013011554,0.00047692913,0.00018351535,0.00058607134,0.00066610944],"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":[0.000083135965,0.0003850351,0.32875416,0.0001982292,0.0005734138,0.000110025954,0.0014986192,0.0018171974,0.00009120697,0.6569064,0.006563635,0.0030189368],"study_design_scores_gemma":[0.0010703233,0.00017540946,0.100341365,0.00020331272,0.00016261965,0.00053361605,0.00016135348,0.094575524,0.00015637443,0.14390169,0.6576933,0.0010251057],"about_ca_topic_score_codex":0.0029576917,"about_ca_topic_score_gemma":0.0023391624,"teacher_disagreement_score":0.65112966,"about_ca_system_score_codex":0.0022023858,"about_ca_system_score_gemma":0.00074090104,"threshold_uncertainty_score":0.9994961},"labels":[],"label_agreement":null},{"id":"W2905151575","doi":"10.1016/j.jue.2021.103394","title":"Who lives where in the city? Amenities, commuting and income sorting","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","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":false,"ca_institutions":"Université Laval","funders":"Institut Universitaire de France; National Research University Higher School of Economics; Agence Nationale de la Recherche","keywords":"Amenity; Sorting; Homothetic transformation; Economics; Geography; News aggregator; Econometrics; Mathematics; Computer science","score_opus":0.03051017279306667,"score_gpt":0.20773546521676067,"score_spread":0.177225292423694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905151575","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":[0.9787516,0.008347692,0.00016915773,0.004249832,0.00017180397,0.00004319854,0.000019079314,0.000002317952,0.008245302],"genre_scores_gemma":[0.99252826,0.0056007667,0.00053864624,0.00077547197,0.00026345468,0.0000015974693,0.0000024834903,0.00001486792,0.0002744637],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824864,0.000038900573,0.0012936322,0.00018787512,0.00002223535,0.00020870341],"domain_scores_gemma":[0.998233,0.00022970974,0.0012043131,0.00021657399,0.000048755366,0.00006763625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011758176,0.00013389379,0.00061344856,0.00022867513,0.00011956497,0.0002853198,0.00030239578,0.000062587875,0.000084975734],"category_scores_gemma":[0.00011735209,0.00012905568,0.00020976271,0.00012849549,0.00007339566,0.00042854913,0.000087899,0.00032380415,0.000009337854],"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":[0.00001661633,0.000065950706,0.81575996,0.000026147953,0.00016845157,0.00004360689,0.0025978857,0.00081291085,0.0000029928237,0.17875108,0.0003509153,0.0014035007],"study_design_scores_gemma":[0.0034513103,0.00036999266,0.37165582,0.00034030664,0.00010450929,0.0010346725,0.015651528,0.04173305,0.000073041105,0.40112555,0.16315842,0.0013018037],"about_ca_topic_score_codex":0.00024773026,"about_ca_topic_score_gemma":0.0009354905,"teacher_disagreement_score":0.4441041,"about_ca_system_score_codex":0.00012683836,"about_ca_system_score_gemma":0.00006031298,"threshold_uncertainty_score":0.5262738},"labels":[],"label_agreement":null},{"id":"W2905968216","doi":"10.1093/jeg/lby057","title":"Moving to the hinterlands: agglomeration, search costs and urban to rural business migration","year":2018,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"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":"University of British Columbia","keywords":"Relocation; Economies of agglomeration; Economic geography; Amenity; Urbanization; Population; Urban agglomeration; Metropolitan area; Rural area; Business; Geography; Economic growth; Economics","score_opus":0.01341209486504862,"score_gpt":0.2167932678950323,"score_spread":0.20338117302998368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905968216","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":[0.97529846,0.00048779097,0.003682606,0.018673306,0.0006033982,0.00013881344,0.000035131405,0.0000042827487,0.0010762183],"genre_scores_gemma":[0.99695414,0.00029281137,0.00050392945,0.0011559878,0.000960673,0.0000055353903,0.000004494932,0.000013548024,0.00010885218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870026,0.000017712775,0.0008279813,0.00021037523,0.000033625995,0.00021007308],"domain_scores_gemma":[0.998958,0.000047646867,0.000425029,0.00020910922,0.00017554757,0.00018465803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008455946,0.00013413873,0.00037780366,0.0007531748,0.00019320077,0.000296691,0.0002970285,0.00004895607,0.00014220404],"category_scores_gemma":[0.000050329145,0.000114195354,0.00018230268,0.00028268815,0.00006423766,0.000318439,0.00006968141,0.00010388487,0.00024091931],"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":[0.00017180007,0.00005861496,0.9297691,0.000010800976,0.00045581447,0.0000025125587,0.0020640087,0.0046920455,0.00007855224,0.03763599,0.018280322,0.0067804204],"study_design_scores_gemma":[0.00081663247,0.00065752625,0.819947,0.00006451948,0.00003913428,0.0000525838,0.00065667735,0.011307961,0.00009220455,0.0066750576,0.15920345,0.00048727362],"about_ca_topic_score_codex":0.001520217,"about_ca_topic_score_gemma":0.0018051491,"teacher_disagreement_score":0.14092313,"about_ca_system_score_codex":0.00011435135,"about_ca_system_score_gemma":0.000030011237,"threshold_uncertainty_score":0.46567515},"labels":[],"label_agreement":null},{"id":"W2906673066","doi":"10.1111/grow.12280","title":"Innovating in less developed regions: What drives patenting in the lagging regions of Europe and North America","year":2018,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":102,"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":"Lagging; Disadvantaged; Economic geography; Socioeconomic status; Geography; Regional science; Development economics; Political science; Economics; Economic growth; Demography; Population; Sociology","score_opus":0.09982376729101063,"score_gpt":0.22750331257046305,"score_spread":0.1276795452794524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906673066","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":[0.9934182,0.0017317361,0.0002480362,0.0036037534,0.000042374777,0.00010022554,0.000007871078,0.000003968617,0.00084382755],"genre_scores_gemma":[0.9906459,0.008164709,0.0002479706,0.00080956286,0.00007932793,0.000020052115,0.000010609424,0.000008202036,0.000013695489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991548,0.000020087671,0.00039675646,0.0002338786,0.000020306199,0.00017415069],"domain_scores_gemma":[0.9995207,0.000052128926,0.00025967183,0.00011098269,0.00003132177,0.000025177964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025722897,0.00009039742,0.00025555192,0.00025042146,0.000092479255,0.00007803001,0.00012002378,0.00003127043,0.0000034972559],"category_scores_gemma":[0.000064577616,0.000081094426,0.000024269531,0.0006881549,0.00012838062,0.00031493747,0.000071099785,0.00008507738,0.0000032351466],"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":[0.000010078865,0.000038585127,0.87306625,0.000045072095,0.00002190743,0.000006418451,0.014174768,0.0000015860603,0.000007399041,0.08806419,0.00002742417,0.024536358],"study_design_scores_gemma":[0.00051412504,0.000091725924,0.9719472,0.00015238178,0.000006874657,0.0000061377873,0.0049680877,0.0053195627,0.000008629033,0.013482788,0.0032080547,0.00029441217],"about_ca_topic_score_codex":0.002367011,"about_ca_topic_score_gemma":0.0032212422,"teacher_disagreement_score":0.098881006,"about_ca_system_score_codex":0.000008770844,"about_ca_system_score_gemma":0.0000067600577,"threshold_uncertainty_score":0.35782284},"labels":[],"label_agreement":null},{"id":"W2908435530","doi":"10.5267/j.msl.2018.12.006","title":"Economic linkage in key economic zones: The case of Vietnam","year":2018,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Linkage (software); Key (lock); Special economic zone; Business; Computer science; Geography; Computer security; China; Chemistry; Archaeology","score_opus":0.016183220597778113,"score_gpt":0.21910242005548836,"score_spread":0.20291919945771025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908435530","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":[0.9626994,0.00004747313,0.0016394308,0.011058558,0.0005377,0.00022785421,0.000023969691,0.000010589159,0.023755008],"genre_scores_gemma":[0.9972207,0.00009595023,0.0004672386,0.0018355469,0.0001393763,0.00002317658,0.0000019524164,0.000011411824,0.00020465469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982736,0.000012493863,0.0007141125,0.00059569266,0.000030058234,0.0003740233],"domain_scores_gemma":[0.99891686,0.00003230972,0.00037890015,0.0006044461,0.0000058635437,0.00006160267],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014361928,0.00014744414,0.00031987205,0.0006468462,0.0002533687,0.00014466021,0.0008131762,0.000030806183,0.00034632836],"category_scores_gemma":[0.000009764937,0.00013874398,0.00013416338,0.00033143492,0.00088510546,0.00039094902,0.00023728769,0.00008297353,0.0010779394],"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":[0.000012680627,0.00004330635,0.06205045,0.0000226988,0.000083993524,0.00008317135,0.0006343011,0.00922766,0.00004033474,0.92387795,0.0018577673,0.0020656628],"study_design_scores_gemma":[0.00278828,0.00029900428,0.23103292,0.000080896716,0.00007815046,0.00012857349,0.002748506,0.592549,0.00034647615,0.08195909,0.0860824,0.0019066826],"about_ca_topic_score_codex":0.003308908,"about_ca_topic_score_gemma":0.002493724,"teacher_disagreement_score":0.8419189,"about_ca_system_score_codex":0.0003501444,"about_ca_system_score_gemma":0.000010064093,"threshold_uncertainty_score":0.99969983},"labels":[],"label_agreement":null},{"id":"W2908678683","doi":"","title":"MegBec - Un modèle d’équilibre général calculable multirégional du Québec","year":2018,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Social accounting matrix; Population; Econometrics; Unemployment; Economics; Gravity model of trade; Centroid; Geography; Welfare economics; Mathematics; Microeconomics; International trade; Macroeconomics; Geometry","score_opus":0.04046017118861858,"score_gpt":0.25716096376047604,"score_spread":0.21670079257185745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908678683","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":[0.8086403,0.0034062942,0.00018316109,0.021879928,0.0024717087,0.0013202202,0.001439528,0.00007014586,0.16058868],"genre_scores_gemma":[0.9217091,0.03462125,0.003673065,0.0006217063,0.0024779749,0.0004980213,0.0005434789,0.00031192173,0.035543457],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9902998,0.00033634278,0.0034142148,0.00334416,0.00024093082,0.0023645025],"domain_scores_gemma":[0.99424636,0.00092949043,0.0013712887,0.0023345568,0.00035659803,0.0007616781],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0043036453,0.0010745616,0.0026249362,0.001587192,0.0008014966,0.0007477502,0.0024381725,0.0014893917,0.0059860977],"category_scores_gemma":[0.0007873441,0.0014627582,0.0014901385,0.0005329412,0.0020433622,0.00056762906,0.002559805,0.002531936,0.002052729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007804877,0.0026814695,0.41668853,0.0005222225,0.0033695283,0.00024888292,0.0015966169,0.194949,0.000050742765,0.24703845,0.0038295307,0.12824453],"study_design_scores_gemma":[0.0016179811,0.00023588276,0.02297275,0.00018153862,0.00003769322,0.000032957167,0.00020408937,0.5286152,0.00004762231,0.025549117,0.41902125,0.001483965],"about_ca_topic_score_codex":0.078950845,"about_ca_topic_score_gemma":0.05689166,"teacher_disagreement_score":0.4151917,"about_ca_system_score_codex":0.00516217,"about_ca_system_score_gemma":0.0018876997,"threshold_uncertainty_score":0.9998069},"labels":[],"label_agreement":null},{"id":"W2913685139","doi":"10.34989/sdp-2018-16","title":"Fundamental Drivers of Existing Home Sales in Canada","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Cointegration; Volatility (finance); Gross domestic product; Real gross domestic product; Context (archaeology); Economics; Business; Product (mathematics); Econometrics; Geography; Macroeconomics","score_opus":0.037087444179549296,"score_gpt":0.21697988994632322,"score_spread":0.17989244576677393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913685139","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":[0.97313553,0.0046229805,0.000088640016,0.0004465982,0.0024952942,0.0002522354,0.0012452094,0.000017909559,0.017695611],"genre_scores_gemma":[0.996943,0.0009990212,0.00073395733,0.00018976517,0.00017636747,0.00004316492,0.00032425145,0.00005520433,0.0005352487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959666,0.000047580623,0.00214866,0.0011847924,0.000095315,0.0005570413],"domain_scores_gemma":[0.9969532,0.0001940727,0.0017771528,0.00077615335,0.0000757103,0.0002237491],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051773014,0.00051165535,0.001966721,0.0006841439,0.000102116035,0.000120132456,0.0006773495,0.00032300473,0.0019061592],"category_scores_gemma":[0.000099912366,0.0007087593,0.00060227345,0.00024922998,0.0002406,0.00019452452,0.00058009644,0.0007004282,0.000094299896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001016854,0.00007235125,0.9813502,0.00014082842,0.00035819513,0.000060213697,0.00029113426,0.0030255448,0.0000086380405,0.013962807,0.00058017124,0.00013979299],"study_design_scores_gemma":[0.0014862999,0.00005216935,0.9613573,0.00047059183,0.000078287056,0.000033210716,0.0023802607,0.013725803,0.00007631087,0.008320702,0.009938057,0.0020810077],"about_ca_topic_score_codex":0.8255639,"about_ca_topic_score_gemma":0.92588824,"teacher_disagreement_score":0.100324295,"about_ca_system_score_codex":0.0031495255,"about_ca_system_score_gemma":0.0023624909,"threshold_uncertainty_score":0.99953634},"labels":[],"label_agreement":null},{"id":"W2921654638","doi":"10.1111/grow.12291","title":"Diverse diversities—Open innovation in small towns and rural areas","year":2019,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":79,"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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Urban agglomeration; Diversity (politics); Economic geography; Variety (cybernetics); Work (physics); Rural area; Business; Geography; Economies of agglomeration; Regional science; Economic growth; Economics; Sociology; Political science","score_opus":0.06170919058713706,"score_gpt":0.20358666339639528,"score_spread":0.14187747280925822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921654638","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":[0.9893106,0.0003349335,0.00002426356,0.0013602854,0.000080692495,0.00016194976,0.000057960013,0.000004192322,0.008665125],"genre_scores_gemma":[0.99813384,0.00054240343,0.000040109622,0.00068149617,0.000048142,0.000011739313,0.00003576408,0.0000049632863,0.00050152256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994588,0.000004073096,0.0002070778,0.0001930187,0.000009784214,0.00012726246],"domain_scores_gemma":[0.99974525,0.000012412549,0.00011405493,0.000079105324,0.000012406561,0.00003675649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014298799,0.00007635344,0.00021571983,0.0002401367,0.000046392986,0.000082441016,0.000105729356,0.00004801847,0.00015623026],"category_scores_gemma":[0.000008819201,0.000084886495,0.000021769101,0.0001810687,0.000023849274,0.0002790575,0.00017404073,0.000050262537,0.000048472535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015852947,0.000013841936,0.7236649,0.000015349864,0.000015647787,0.0000013665123,0.00084097154,5.3108664e-7,0.000004504902,0.2740678,0.000047644597,0.0013116274],"study_design_scores_gemma":[0.0013227285,0.00010798351,0.91590416,0.000021114605,0.0000070317988,0.0000023868017,0.0014882403,0.002594636,0.000009739148,0.07504004,0.0031932204,0.0003087152],"about_ca_topic_score_codex":0.010493928,"about_ca_topic_score_gemma":0.0011567707,"teacher_disagreement_score":0.19902773,"about_ca_system_score_codex":0.00002309254,"about_ca_system_score_gemma":0.000003912735,"threshold_uncertainty_score":0.9960953},"labels":[],"label_agreement":null},{"id":"W2922653714","doi":"10.1111/capa.12314","title":"Local government, multilevel governance, and cluster‐based innovation policy: Economic cluster strategies in Canada’s city regions","year":2019,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Corporate governance; Multi-level governance; Collaborative governance; Government (linguistics); Cluster (spacecraft); Regional science; Multilevel model; Local government; Economic geography; Political science; Business; Economic growth; Public administration; Economics; Geography","score_opus":0.024001988001236787,"score_gpt":0.21414162476392884,"score_spread":0.19013963676269205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922653714","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":[0.8718465,0.000077724944,0.0070976084,0.094729856,0.00032426434,0.0004699664,0.0013548816,0.000011757488,0.024087442],"genre_scores_gemma":[0.99658704,0.000026734602,0.00009406888,0.0023102248,0.000073184056,0.000027494601,0.00018340113,0.000018495719,0.0006793876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983462,0.000017680202,0.00072117243,0.00046830432,0.00005879525,0.00038781442],"domain_scores_gemma":[0.99897516,0.000051100207,0.00041575893,0.00027990478,0.000033709242,0.00024439636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029834174,0.00018520173,0.00033191932,0.00032333282,0.00010004775,0.00024239515,0.00018421188,0.00012052044,0.00029169826],"category_scores_gemma":[0.00006103773,0.00024076134,0.000047022197,0.00027879252,0.00005807764,0.00062986405,0.000023120661,0.00014818266,0.000051590174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000140719285,0.000012029068,0.08903129,0.000012438895,0.000021836502,0.0000025210513,0.000017264783,0.0010628,7.6372675e-7,0.90778697,0.0013407454,0.000697259],"study_design_scores_gemma":[0.0017677782,0.00009989776,0.25460684,0.000022100117,0.0000063935304,0.000009373376,0.00045206188,0.4994427,0.000016427071,0.021332562,0.2215078,0.0007360628],"about_ca_topic_score_codex":0.9580146,"about_ca_topic_score_gemma":0.99954027,"teacher_disagreement_score":0.8864544,"about_ca_system_score_codex":0.0050853095,"about_ca_system_score_gemma":0.0085182935,"threshold_uncertainty_score":0.998734},"labels":[],"label_agreement":null},{"id":"W29239674","doi":"","title":"Interdependence of Population Concentrations and Their Activities as a Dynamic Factor of Continental Cohesion","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cohesion (chemistry); Population; Diversification (marketing strategy); Computer science; Econometrics; Exploit; Coherence (philosophical gambling strategy); Mathematical optimization; Operations research; Mathematics; Statistics; Physics; Business; Demography; Computer security","score_opus":0.019747016697638634,"score_gpt":0.22834651243574297,"score_spread":0.20859949573810432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W29239674","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":[0.91717863,0.08143396,0.00015978064,0.0002407078,0.00006910407,0.00015260837,0.00030867773,0.0000015392642,0.0004550209],"genre_scores_gemma":[0.71117455,0.28854904,0.00016292658,0.00004697229,0.000009599216,0.000004922386,0.0000189734,0.0000056638746,0.000027359174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99890184,0.000010110706,0.0007878413,0.0001743557,0.0000106475545,0.00011519806],"domain_scores_gemma":[0.9987122,0.00006579473,0.0010093357,0.0001576768,0.000022783046,0.00003225377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026227205,0.000116185,0.0007140139,0.00007781242,0.000029859748,0.000008500561,0.000089269575,0.000048835624,0.000035448687],"category_scores_gemma":[0.000037552494,0.00011578001,0.000127109,0.00005312448,0.00010411801,0.00027738232,0.000050734205,0.000045187444,0.000002019766],"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":[0.000027673104,0.00013419597,0.12960571,0.0018078138,0.00013685731,7.853986e-8,0.0004593659,0.00004902838,0.00019105591,0.85072875,0.000019241936,0.016840238],"study_design_scores_gemma":[0.0024365482,0.00081375404,0.780949,0.007193602,0.0001700258,0.00004869377,0.00068228244,0.07863913,0.0045602806,0.07951857,0.043196853,0.0017912596],"about_ca_topic_score_codex":0.00042255505,"about_ca_topic_score_gemma":0.000058208432,"teacher_disagreement_score":0.7712102,"about_ca_system_score_codex":0.000026630114,"about_ca_system_score_gemma":0.000011658829,"threshold_uncertainty_score":0.47213715},"labels":[],"label_agreement":null},{"id":"W293129190","doi":"","title":"Regional Agglomeration of Major Risky Activities and Environmental Policies/ L'agglomeration Regionale Des Activites Comportant Des Risuques Majeures et Les Politiques Environnementales","year":2006,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Welfare economics; Economy; Economics; Philosophy","score_opus":0.03193287072244591,"score_gpt":0.2298881314906206,"score_spread":0.19795526076817468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W293129190","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":[0.94150424,0.04547971,0.0008867408,0.010544443,0.00018469345,0.00012583267,0.00050944596,0.000003621617,0.0007612793],"genre_scores_gemma":[0.981277,0.014299536,0.002380983,0.0002936133,0.0003324035,0.0000049275036,0.00006626153,0.000023599763,0.0013216889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99749243,0.00009308978,0.0011366812,0.000447115,0.00024813655,0.0005825426],"domain_scores_gemma":[0.99741703,0.00020210946,0.0015848499,0.00019645484,0.0001320519,0.0004674725],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011672559,0.00031556757,0.0006274348,0.0011724565,0.000979707,0.00033396328,0.00040606858,0.00016181631,0.00021248734],"category_scores_gemma":[0.000080393525,0.00035835404,0.00029437058,0.00036954717,0.007248947,0.0019004231,0.000048789403,0.0002717773,0.000003647939],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055280078,0.00022465573,0.46923426,0.000083707775,0.00018967393,0.00003579802,0.0022146231,0.0019140872,0.003613739,0.5161122,0.0026882235,0.0036337723],"study_design_scores_gemma":[0.00080498826,0.000514545,0.80826074,0.00047866092,0.00010548691,0.00072288205,0.00414763,0.002726907,0.0023148227,0.1299907,0.049169302,0.00076333346],"about_ca_topic_score_codex":0.14147902,"about_ca_topic_score_gemma":0.12192371,"teacher_disagreement_score":0.38612148,"about_ca_system_score_codex":0.00091001467,"about_ca_system_score_gemma":0.0007080626,"threshold_uncertainty_score":0.9998869},"labels":[],"label_agreement":null},{"id":"W2940685465","doi":"10.17848/wp19-301","title":"Local Job Multipliers in the United States: Variation with Local Characteristics and with High-Tech Shocks","year":2019,"lang":"en","type":"report","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"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":"Pew Charitable Trusts","keywords":"High tech; Quarter (Canadian coin); Economics; Shock (circulatory); Job creation; Demand shock; Econometrics; Population; Lagrange multiplier; Microeconomics; Labour economics; Mathematics; Geography; Mathematical optimization","score_opus":0.022543038418164896,"score_gpt":0.20591985347872258,"score_spread":0.18337681506055767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940685465","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":[0.51558244,0.0003600961,0.4501397,0.003068553,0.00035733928,0.0012530056,0.0011308305,0.00005155889,0.028056454],"genre_scores_gemma":[0.9914929,0.0030717496,0.00036873782,0.00052354624,0.00009874749,0.00004928995,0.0016054705,0.000058217884,0.0027312909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795437,0.000024780466,0.000881121,0.00068760285,0.000135826,0.00031627397],"domain_scores_gemma":[0.9983317,0.00014633605,0.0008021633,0.0004887528,0.00015259921,0.00007839477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087619206,0.00037575484,0.00097037666,0.0006561455,0.000087022556,0.00019013895,0.00028356176,0.0003256455,0.00012708023],"category_scores_gemma":[0.000021253638,0.00025848494,0.00008393801,0.00044673312,0.0001930166,0.00012129123,0.000055141263,0.00047351271,0.000059246082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011739951,0.00079245557,0.6232598,0.0011018951,0.004492498,0.00027176077,0.003920989,0.096178964,0.0000010392328,0.25396463,0.0066822637,0.008159739],"study_design_scores_gemma":[0.0030261518,0.0009791267,0.47106266,0.00032360983,0.00029273643,0.00011484322,0.0017836912,0.34563562,0.0000019619852,0.0054254644,0.16921803,0.0021360999],"about_ca_topic_score_codex":0.07648687,"about_ca_topic_score_gemma":0.008982785,"teacher_disagreement_score":0.47591048,"about_ca_system_score_codex":0.0004131258,"about_ca_system_score_gemma":0.00021080786,"threshold_uncertainty_score":0.9999867},"labels":[],"label_agreement":null},{"id":"W2946224176","doi":"","title":"In Search of Regularities in the Location of Economic Activity: A North America-Wide Analysis of the Spatial Distrivution of High=order Services and manufacturing\"/A la Recherche De Grandes Regularites Dans la Localisation De L'activite Economiqu. Analyse Du Tertiaire Superieur et De L'industrie Manufacturiere Pour L'espace Nord-Americaine","year":2006,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Distribution (mathematics); Economic geography; Economic base analysis; Order (exchange); Geography; Regional science; Service (business); Spatial distribution; Cluster (spacecraft); Business; Economy; Economics; Computer science; Mathematics","score_opus":0.03686057223770849,"score_gpt":0.25390933694134654,"score_spread":0.21704876470363804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946224176","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":[0.97737557,0.0006132882,0.006389824,0.015228714,0.000036976355,0.00010566189,0.00018696874,6.320674e-7,0.00006234034],"genre_scores_gemma":[0.9982113,0.0008161672,0.0007184462,0.00013836993,0.000040828658,0.0000035747505,0.000015314177,0.000009628239,0.0000463452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775666,0.0006226074,0.0009039424,0.00027785514,0.00012017943,0.0003187603],"domain_scores_gemma":[0.99698645,0.0010108682,0.0014286377,0.0002734212,0.00016609441,0.00013452809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038557334,0.00017561026,0.0006948782,0.0011962819,0.00010104376,0.00009146925,0.0005803815,0.00018466002,0.000023078304],"category_scores_gemma":[0.0002640803,0.00016164953,0.00022933343,0.0012780376,0.00174308,0.000574252,0.000041341933,0.00037688468,1.3817377e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006247952,0.00008325807,0.7347466,0.00011889922,0.00017195068,0.000008038335,0.0034355929,0.25328213,0.00016006376,0.006267264,0.000018153789,0.0016455748],"study_design_scores_gemma":[0.00035421352,0.000068144436,0.9365287,0.00016673797,0.00016135193,0.000034720844,0.0023171352,0.051077414,0.0029315567,0.005862627,0.00035890867,0.00013849621],"about_ca_topic_score_codex":0.49207225,"about_ca_topic_score_gemma":0.5440722,"teacher_disagreement_score":0.20220473,"about_ca_system_score_codex":0.0012864411,"about_ca_system_score_gemma":0.002981676,"threshold_uncertainty_score":0.6591876},"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":"W2947442697","doi":"10.5539/jsd.v12n3p131","title":"Rethinking Regional Development Strategies in Saudi Arabia: Planning Processes, Governance, and Implementation","year":2019,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Distribution (mathematics); Government (linguistics); Capital (architecture); Regional science; Regional development; Resource (disambiguation); Environmental planning; Local governance; Business; Geography; Balance (ability); Political science; Economic growth; Economics; Computer science","score_opus":0.023127811404626806,"score_gpt":0.23752991557507655,"score_spread":0.21440210417044975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947442697","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":[0.9928087,0.003411784,0.00097180513,0.00097023475,0.000079870995,0.00017294662,0.000001143736,0.000004186866,0.0015793139],"genre_scores_gemma":[0.9933344,0.00066384056,0.0051446785,0.0001685423,0.000040710296,0.0000114278755,0.000007906035,0.000013715002,0.0006147542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811375,0.00001006155,0.0012042653,0.00024368962,0.000105869876,0.00032234093],"domain_scores_gemma":[0.99852616,0.000042358402,0.0010997669,0.00007804348,0.00018181518,0.00007186293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105516,0.00015384855,0.00045012057,0.0003975781,0.00011087394,0.00016562604,0.00017330596,0.000067171495,0.00010979614],"category_scores_gemma":[0.000031615036,0.00016137114,0.000046183548,0.0003114401,0.000021140271,0.00078317005,0.00007138101,0.00018919664,0.000016102318],"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":[0.00014234545,0.00012949402,0.5947522,0.00071866636,0.00033612282,0.00020319731,0.02154104,0.005774222,0.000013581232,0.37218407,0.0006796129,0.0035254573],"study_design_scores_gemma":[0.0018735044,0.000099632314,0.68147033,0.00023638674,0.00000833649,0.000052830124,0.021046927,0.0002938547,0.00011738454,0.08086424,0.21341525,0.00052128156],"about_ca_topic_score_codex":0.00012454874,"about_ca_topic_score_gemma":0.00013342165,"teacher_disagreement_score":0.29131982,"about_ca_system_score_codex":0.00066976785,"about_ca_system_score_gemma":0.00085945474,"threshold_uncertainty_score":0.6580524},"labels":[],"label_agreement":null},{"id":"W2947521990","doi":"","title":"Labour mobility and interprovincial trade in Canada","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Gravity model of trade; Immigration; Economics; Estimation; Net migration rate; Geography; Demographic economics; International trade; Econometrics; Population; Demography; Population growth","score_opus":0.02651031802750252,"score_gpt":0.25045069040440116,"score_spread":0.22394037237689862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947521990","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":[0.9573746,0.00068065256,0.0000054080447,0.0017512398,0.0005517635,0.00064560515,0.00065297243,0.000008118698,0.038329683],"genre_scores_gemma":[0.98995703,0.008466082,0.00009140887,0.0002476923,0.00013693149,0.000126823,0.00005971193,0.0000532584,0.0008610775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597967,0.000095198564,0.0015385981,0.0015007269,0.000076617645,0.00080917694],"domain_scores_gemma":[0.99804354,0.0003290481,0.00044796558,0.0009357902,0.000026673722,0.00021698556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019828598,0.0003726189,0.00133424,0.0008035156,0.000072659546,0.00017003193,0.00074756914,0.00039022855,0.00019394065],"category_scores_gemma":[0.0002614555,0.0004791286,0.00019920181,0.0001691375,0.00017001187,0.000134177,0.0009968594,0.0016539028,0.000019478768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001373228,0.00020765694,0.8848894,0.00036268207,0.00020097624,0.0000483334,0.00036997773,0.043264624,0.0000029148168,0.034393165,0.00008530406,0.036037624],"study_design_scores_gemma":[0.001313605,0.000087338616,0.6646717,0.0001580324,0.0000065517283,0.000006499677,0.0006680961,0.23806113,0.000008647662,0.05012166,0.04368106,0.0012156776],"about_ca_topic_score_codex":0.872634,"about_ca_topic_score_gemma":0.9694001,"teacher_disagreement_score":0.22021772,"about_ca_system_score_codex":0.005002587,"about_ca_system_score_gemma":0.0019492557,"threshold_uncertainty_score":0.99976605},"labels":[],"label_agreement":null},{"id":"W2947676353","doi":"","title":"The economic potential of a Hagersville by-pass","year":2014,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic potential; Economics; Economic growth","score_opus":0.010011122197649895,"score_gpt":0.16565381299068083,"score_spread":0.15564269079303092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947676353","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":[0.93989617,0.0010226825,0.012528251,0.018848395,0.00033782606,0.00015992355,0.00020311194,0.000014925672,0.026988715],"genre_scores_gemma":[0.99596715,0.0005475362,0.000080251106,0.000041942756,0.000050108338,1.8160196e-7,0.000008856035,0.000007516416,0.0032964766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933445,0.000027128817,0.00026514154,0.0001884814,0.000028744504,0.00015604356],"domain_scores_gemma":[0.99891615,0.000105162384,0.00051379844,0.00039594717,0.000025517598,0.000043443324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060265884,0.00008595602,0.00030899563,0.00007343297,0.00028502784,0.000020150967,0.0006493481,0.000054820255,0.0003530021],"category_scores_gemma":[0.000017181033,0.000077351666,0.00029630392,0.00008542794,0.0002668565,0.000103273436,0.00012941017,0.00007663193,0.00020964432],"study_design_candidate":"theoretical_or_conceptual","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":[0.0002222584,0.000080916536,0.004127241,0.00003212841,0.0008088767,0.0000010909615,0.0007664279,0.0077705467,0.0037200951,0.9217128,0.05711302,0.0036445663],"study_design_scores_gemma":[0.0016227742,0.00022650899,0.06569229,0.000009591221,0.00013474771,0.0000040116474,0.0018054027,0.18228868,0.00015059327,0.07781908,0.66977495,0.000471346],"about_ca_topic_score_codex":0.0066373902,"about_ca_topic_score_gemma":0.0005769823,"teacher_disagreement_score":0.84389377,"about_ca_system_score_codex":0.00006238494,"about_ca_system_score_gemma":0.000020324265,"threshold_uncertainty_score":0.99997747},"labels":[],"label_agreement":null},{"id":"W2948283179","doi":"10.5539/ijef.v11n7p61","title":"The Spatial Spillover Effect of Financial Agglomeration on China’s Regional Economic Growth","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Economies of agglomeration; Economic geography; Spillover effect; Economics; Panel data; Index (typography); Position (finance); Business; Economy; Finance; Economic growth; Geography; Macroeconomics","score_opus":0.007511028252228642,"score_gpt":0.1974551060038628,"score_spread":0.18994407775163416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948283179","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":[0.9899,0.00075311295,0.00011450461,0.0041297707,0.002017578,0.00012030337,0.00008756046,0.0000017603693,0.0028754147],"genre_scores_gemma":[0.98684084,0.012026615,0.00007341545,0.00021834004,0.00050648476,0.0000040044088,0.000008555096,0.000016042337,0.00030570428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836475,0.00002043147,0.0011261113,0.0002719449,0.000048834838,0.00016790969],"domain_scores_gemma":[0.9977954,0.00019237197,0.001690386,0.00018665487,0.00009024695,0.000044928205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080318353,0.00018335987,0.0005589937,0.00023568324,0.00007973006,0.00011620156,0.0004884907,0.00009347887,0.00006105722],"category_scores_gemma":[0.00008726628,0.0001552582,0.00033939775,0.00003865511,0.0001064755,0.0003039,0.0000631919,0.00018217348,0.0000931194],"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":[0.0006839849,0.00004356586,0.021390604,0.0000076216234,0.00022557302,0.0000031109191,0.00007048355,0.015425083,0.0000074195386,0.95373803,0.0006567101,0.0077478355],"study_design_scores_gemma":[0.0075940606,0.003487606,0.27059105,0.00017021966,0.000058526326,0.00014426922,0.000024868226,0.14265747,0.0014300499,0.27302432,0.29978427,0.001033267],"about_ca_topic_score_codex":0.00047801042,"about_ca_topic_score_gemma":0.00015931336,"teacher_disagreement_score":0.68071365,"about_ca_system_score_codex":0.00017922955,"about_ca_system_score_gemma":0.00007563951,"threshold_uncertainty_score":0.63312453},"labels":[],"label_agreement":null},{"id":"W2950805797","doi":"10.1093/jeg/lbaa007","title":"Tales of the city: what do agglomeration cases tell us about agglomeration in general?","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council","keywords":"Microfoundations; Economies of agglomeration; Pooling; Economics; Economic geography; Entrepreneurship; Empirical evidence; Manufacturing; Industrial organization; Microeconomics; Business; Macroeconomics; Marketing; Computer science","score_opus":0.028092183053621912,"score_gpt":0.21492939233564648,"score_spread":0.18683720928202457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950805797","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":[0.98733836,0.007400623,0.00014917352,0.0037793287,0.00052921334,0.00012147446,0.000046083976,0.0000028454863,0.0006328696],"genre_scores_gemma":[0.9894198,0.009245129,0.00022816376,0.00072940363,0.0003312405,0.000003645033,0.0000063691928,0.000013865268,0.000022340348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791926,0.000031637126,0.0015777152,0.00025203702,0.000043089443,0.00017626476],"domain_scores_gemma":[0.9977042,0.00006391704,0.0018657446,0.00020622555,0.000057301255,0.000102574755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004932539,0.00016262733,0.00066030247,0.00047926276,0.00007182937,0.00021266818,0.00034635622,0.000093100614,0.000236285],"category_scores_gemma":[0.00006163933,0.00014726807,0.0006593015,0.00027929476,0.00009358533,0.0008692748,0.000052685893,0.00018816952,0.000028912149],"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":[0.000057114776,0.00007221985,0.9436688,0.000022235763,0.00023613458,0.0000066150064,0.00029722942,0.027264923,0.00008562875,0.026298635,0.00031190465,0.0016785645],"study_design_scores_gemma":[0.002060628,0.00046645475,0.9039867,0.00015627535,0.00008696333,0.00006229662,0.00041221722,0.029142803,0.0007760878,0.026788492,0.035427846,0.00063325505],"about_ca_topic_score_codex":0.0006012918,"about_ca_topic_score_gemma":0.0003710359,"teacher_disagreement_score":0.039682113,"about_ca_system_score_codex":0.00008551744,"about_ca_system_score_gemma":0.00005330352,"threshold_uncertainty_score":0.6005418},"labels":[],"label_agreement":null},{"id":"W2951974033","doi":"10.4000/interventionseconomiques.472","title":"La compétitivité urbaine et la qualité de vie. Introduction","year":2008,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Humanities; Art; Political science; Sociology","score_opus":0.0657480018798251,"score_gpt":0.2896489829084881,"score_spread":0.22390098102866302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951974033","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":[0.77082956,0.024085041,0.07074857,0.07579822,0.0018445487,0.0003043386,0.0007514468,0.00011740454,0.05552086],"genre_scores_gemma":[0.93990797,0.01465359,0.0032418687,0.00054154976,0.0009379278,0.000073400544,0.00014660637,0.00005646375,0.040440604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99708617,0.0004443597,0.0014023643,0.0006437595,0.000025231711,0.0003981028],"domain_scores_gemma":[0.99824023,0.00032866144,0.0007426287,0.00046100593,0.000075424556,0.00015203816],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020498508,0.00030440357,0.0007927406,0.00049907865,0.00020525177,0.00022555683,0.00031717608,0.00032801385,0.0022668447],"category_scores_gemma":[0.00021069223,0.0004282184,0.0012925194,0.0002115288,0.00049118575,0.0006429809,0.00013495378,0.0004523441,0.0007223142],"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":[0.000027052274,0.00073292514,0.036100868,0.00015636718,0.00060048845,0.0000319203,0.00081589655,0.0013316638,0.0000055295286,0.9306669,0.018094333,0.01143606],"study_design_scores_gemma":[0.00056928024,0.00016932725,0.050608635,0.00022414097,0.00006822044,0.00026659758,0.00012430374,0.008463028,0.000041866566,0.06708387,0.8718762,0.0005045635],"about_ca_topic_score_codex":0.0054792888,"about_ca_topic_score_gemma":0.0022391353,"teacher_disagreement_score":0.863583,"about_ca_system_score_codex":0.00043859208,"about_ca_system_score_gemma":0.00010003427,"threshold_uncertainty_score":0.99981695},"labels":[],"label_agreement":null},{"id":"W295214088","doi":"","title":"Cross-Border Local Development Policy: An Examination of Spacial Patterns","year":2000,"lang":"en","type":"article","venue":"International journal of economic development","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Local government; Local economic development; Census; Economics; Property tax; Public economics; Government (linguistics); Politics; Competition (biology); Economic growth; Political science; Population; Sociology; Public administration; Tax reform","score_opus":0.02232126535391677,"score_gpt":0.30137344627509266,"score_spread":0.2790521809211759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W295214088","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":[0.9832473,0.00008763475,0.0067793466,0.00045117232,0.00062816177,0.00006321314,0.000054409946,0.0000060421585,0.008682724],"genre_scores_gemma":[0.9946467,0.00018152896,0.0029070508,0.00017607077,0.00043995221,0.0000057204943,0.00005637747,0.000021460086,0.0015650823],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99737364,0.000017534141,0.00200457,0.0002794665,0.000113861846,0.00021094654],"domain_scores_gemma":[0.9983124,0.00003146904,0.0011730947,0.00014812751,0.00018938073,0.00014551496],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008629758,0.00018718709,0.00050340994,0.0007049842,0.00006702659,0.000121579214,0.0005563907,0.0000937517,0.006419824],"category_scores_gemma":[0.000023442684,0.00021005665,0.00017935174,0.00006822622,0.00007605948,0.0005935937,0.00005702749,0.00012008287,0.0002912474],"study_design_candidate":"design_other","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":[0.0003297036,0.00053819973,0.084160626,0.000019023675,0.0014739225,0.000025699303,0.0034198137,0.02603913,0.000017933537,0.04736818,0.000077737735,0.83653],"study_design_scores_gemma":[0.0022246,0.00017867434,0.6991783,0.000064854125,0.000011709766,0.00009228403,0.0001607793,0.0041475906,0.00187758,0.0039926562,0.287472,0.0005989891],"about_ca_topic_score_codex":0.0003636966,"about_ca_topic_score_gemma":0.00032389432,"teacher_disagreement_score":0.83593106,"about_ca_system_score_codex":0.0009525491,"about_ca_system_score_gemma":0.00043126024,"threshold_uncertainty_score":0.9944884},"labels":[],"label_agreement":null},{"id":"W2952764888","doi":"10.1111/jors.12456","title":"Firm networks, borders, and regional economic integration","year":2019,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada; Statistics Canada","funders":"","keywords":"Microdata (statistics); Economic integration; Identification (biology); Economics; International trade; Investment (military); Trade barrier; Business; International economics; Economic geography","score_opus":0.021678335987301782,"score_gpt":0.23073238086084816,"score_spread":0.20905404487354637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952764888","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":[0.9723711,0.004499954,0.004939138,0.012865691,0.00080259616,0.00011218943,0.000007652572,0.0000067259753,0.004394958],"genre_scores_gemma":[0.9951101,0.002562606,0.000992781,0.000631357,0.00026234906,0.0000011301578,0.0000024151543,0.000008411365,0.00042885935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986777,0.000009006751,0.0006829618,0.00030935195,0.00009479469,0.00022624237],"domain_scores_gemma":[0.9985885,0.00007434251,0.0008997023,0.00016991117,0.00009921112,0.00016834143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011829138,0.00012218847,0.00037901124,0.00041527895,0.00013238499,0.00015026474,0.00040719847,0.000059836828,0.00018994139],"category_scores_gemma":[0.00003660893,0.00011399074,0.00017236239,0.00024335264,0.000309951,0.0008490518,0.000056235574,0.00017150225,0.00010262832],"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":[0.00007385157,0.000051553397,0.061609983,0.0000067893793,0.00007491355,0.0000045432357,0.00016950867,0.011758107,0.0001652099,0.9158686,0.005584121,0.0046328153],"study_design_scores_gemma":[0.0016737971,0.0005970393,0.18123381,0.000110240115,0.00002709214,0.00045186342,0.00038511681,0.31983227,0.000047148573,0.14728425,0.34758598,0.0007713925],"about_ca_topic_score_codex":0.00024964474,"about_ca_topic_score_gemma":0.00005733354,"teacher_disagreement_score":0.7685844,"about_ca_system_score_codex":0.00021954227,"about_ca_system_score_gemma":0.00015620276,"threshold_uncertainty_score":0.46484077},"labels":[],"label_agreement":null},{"id":"W2959683386","doi":"10.4324/9781351262163-2","title":"Regional development in Canada","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"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","score_opus":0.03647689696786575,"score_gpt":0.1682907240154152,"score_spread":0.13181382704754946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959683386","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008802799,0.001072172,0.00008412339,0.0013078378,0.00024815247,0.00012535995,0.000054664662,0.0000053909894,0.996222],"genre_scores_gemma":[0.03138966,0.0005956857,0.00028774224,0.0013136587,0.000073839255,0.000006281924,0.0001329727,0.000043292584,0.96615684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834454,0.000001214339,0.0008959316,0.00050090137,0.000045609457,0.00021181631],"domain_scores_gemma":[0.99919283,0.00003067933,0.00039879966,0.0002823475,0.000020146586,0.000075197495],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013605112,0.00023943909,0.0007071796,0.00029128997,0.000027268547,0.000023667979,0.00024851414,0.00014582407,0.0055326303],"category_scores_gemma":[0.0000039539473,0.00028066794,0.00013574713,0.000025367679,0.000015891812,0.000047250138,0.0000630067,0.00019863396,0.0022573392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034392601,0.000004198581,0.0039015657,0.000011398489,0.00009151841,0.000007880962,0.000011521612,0.00018161826,2.442259e-8,0.98692644,0.008107361,0.00075301266],"study_design_scores_gemma":[0.00014656142,0.000004591089,0.0021810397,0.000022050379,0.0000023284097,0.0000013362553,0.0000038779253,0.0007215588,4.836761e-7,0.05241048,0.9441225,0.00038319477],"about_ca_topic_score_codex":0.8629988,"about_ca_topic_score_gemma":0.9880362,"teacher_disagreement_score":0.9360151,"about_ca_system_score_codex":0.0016278845,"about_ca_system_score_gemma":0.0014304031,"threshold_uncertainty_score":0.99996454},"labels":[],"label_agreement":null},{"id":"W2962096196","doi":"10.1016/j.compenvurbsys.2019.101365","title":"Performance assessment of major global cities by DEA and Malmquist index analysis","year":2019,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Data envelopment analysis; Benchmarking; Malmquist index; Global city; Index (typography); Beijing; Regional science; Status quo; Globalization; Geography; Frontier; China; Economic growth; Productivity; Business; Economics; Economic geography; Total factor productivity; Computer science; Marketing; Statistics","score_opus":0.007993701549201595,"score_gpt":0.16895472159785954,"score_spread":0.16096102004865795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962096196","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":[0.982606,0.003924868,0.010478912,0.000092168,0.00014952236,0.0001493444,0.00012980508,0.00000592731,0.0024634388],"genre_scores_gemma":[0.99784625,0.0010500904,0.00016010099,0.000028936136,0.00003658563,0.000008426959,0.000039981027,0.0000070324813,0.00082257343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893457,0.000012296785,0.00049265724,0.00035831594,0.000048893104,0.00015329181],"domain_scores_gemma":[0.9993471,0.000021294936,0.00033395845,0.00021809844,0.000004788411,0.000074780735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016952911,0.0001456971,0.0005939131,0.00013190633,0.000053280233,0.000073309966,0.00010738041,0.00006114354,0.00005948745],"category_scores_gemma":[5.1530895e-7,0.00015466257,0.00011094832,0.00010899894,0.00008125107,0.000106579406,0.00007361591,0.000037176433,0.00001745484],"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":[0.0000045157713,0.000028640156,0.98399943,0.000051194682,0.00047733574,3.1659303e-7,0.00004783822,0.003096773,0.0000040595596,0.011810701,0.00030430863,0.00017488126],"study_design_scores_gemma":[0.0003423281,0.00008572766,0.5894645,0.000008169107,0.000053133204,0.0000013341578,0.00004699802,0.40128717,8.9516146e-7,0.00008272095,0.008461065,0.00016598648],"about_ca_topic_score_codex":0.0005014935,"about_ca_topic_score_gemma":0.0000042158085,"teacher_disagreement_score":0.39819038,"about_ca_system_score_codex":0.00009328353,"about_ca_system_score_gemma":0.000003867901,"threshold_uncertainty_score":0.63069564},"labels":[],"label_agreement":null},{"id":"W2965326650","doi":"10.5465/ambpp.2019.241","title":"Profitability of Foreign Direct Investment in Global Cities and Co- Ethnic Clusters","year":2019,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Profitability index; Subsidiary; Foreign direct investment; Multinational corporation; Business; Economic geography; Metropolitan area; Sample (material); Industrial organization; Economics; Geography; Finance","score_opus":0.03513431125070457,"score_gpt":0.24973392160148822,"score_spread":0.21459961035078365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965326650","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":[0.79074097,0.00057877274,0.000009800132,0.0008267609,0.000015404188,0.00036173942,0.00002282616,0.000006280547,0.20743744],"genre_scores_gemma":[0.99763936,0.0010529942,0.00033775636,0.00036378333,0.000009525102,0.000026783784,0.0000027352496,0.0000071107643,0.0005599257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987261,0.000003430899,0.00067338615,0.0003648872,0.000051788218,0.00018039669],"domain_scores_gemma":[0.99943334,0.000017889102,0.0004319072,0.00006371688,0.000012214735,0.000040934672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069098274,0.00012247953,0.00048031705,0.00021789371,0.000015892007,0.0000149567595,0.00019851912,0.00008229355,0.00004660351],"category_scores_gemma":[0.000012899161,0.00013521193,0.00009069074,0.00025090654,0.00010417883,0.00024875486,0.00012905677,0.000074501084,0.000014979988],"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":[0.000023547578,0.000030910407,0.34736323,0.0003377035,0.00008637246,8.65932e-8,0.00012647967,0.000034552042,0.0000043463688,0.65125525,0.0001966074,0.0005408941],"study_design_scores_gemma":[0.0010189577,0.00011145055,0.7469853,0.000079519006,0.000026643116,5.82628e-7,0.0010238995,0.0037236253,0.0001618564,0.24109109,0.0055061933,0.00027086842],"about_ca_topic_score_codex":0.00018367352,"about_ca_topic_score_gemma":0.0000046002647,"teacher_disagreement_score":0.41016418,"about_ca_system_score_codex":0.00009638851,"about_ca_system_score_gemma":0.0000032575433,"threshold_uncertainty_score":0.5513782},"labels":[],"label_agreement":null},{"id":"W2966742071","doi":"10.3390/su11154240","title":"Bridging the Gap: Integrated Occupational and Industrial Approach to Understand the Regional Economic Advantage","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Office for Philosophy and Social Sciences; National Planning Office of Philosophy and Social Science","keywords":"Bridging (networking); Bridge (graph theory); Order (exchange); Occupational safety and health; Business; Industrial organization; Regional science; Computer science; Political science; Sociology","score_opus":0.05193327758208791,"score_gpt":0.24589750633287333,"score_spread":0.19396422875078542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966742071","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":[0.9645076,0.00021348977,0.0056655384,0.022019168,0.00020802309,0.0008652215,0.000111956564,0.000018038749,0.0063909926],"genre_scores_gemma":[0.99795693,0.000030264675,0.00007215627,0.00069602,0.00017924163,0.0000310646,0.000035577177,0.00001413527,0.000984582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99853283,0.000053508113,0.00051996805,0.00055494107,0.000046781046,0.00029198502],"domain_scores_gemma":[0.99891603,0.00018405115,0.00022463752,0.00050228444,0.000081265316,0.000091744194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012920736,0.00017402762,0.00033969234,0.00012548728,0.0002668942,0.00018664176,0.00034339895,0.00009152533,0.00016648564],"category_scores_gemma":[0.00019015295,0.00012403516,0.00015269013,0.00019983202,0.00020361724,0.00018533555,0.00013897763,0.00024690398,0.00008976082],"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":[0.00012211797,0.000043619286,0.17082484,0.000015183099,0.00008444407,3.2613787e-7,0.000617824,0.0046866136,4.4103177e-7,0.81977516,0.0022039015,0.0016255218],"study_design_scores_gemma":[0.0017875495,0.00015279678,0.2331279,0.000010542152,0.000036228063,0.000016048352,0.011797236,0.15064378,0.0000048054785,0.43083546,0.17076859,0.0008190471],"about_ca_topic_score_codex":0.0024434598,"about_ca_topic_score_gemma":0.00016776673,"teacher_disagreement_score":0.3889397,"about_ca_system_score_codex":0.00093251205,"about_ca_system_score_gemma":0.00024634466,"threshold_uncertainty_score":0.5058007},"labels":[],"label_agreement":null},{"id":"W2967245124","doi":"10.1016/j.jue.2021.103366","title":"The internal spatial organization of firms: Evidence from Denmark","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"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","keywords":"Business; Production (economics); Danish; Fragmentation (computing); Industrial organization; Labour economics; Economics","score_opus":0.02194795830376564,"score_gpt":0.19736045594321736,"score_spread":0.17541249763945171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967245124","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":[0.97791576,0.0051537375,0.011734169,0.003115924,0.0010797352,0.000040219024,0.00006610266,0.0000023387406,0.0008919871],"genre_scores_gemma":[0.9891504,0.008833218,0.00077845174,0.00015299371,0.0005719791,6.6447274e-7,0.0000068760905,0.00002080223,0.00048459574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803,0.00002716368,0.001548035,0.000206127,0.000034547553,0.00015413947],"domain_scores_gemma":[0.9968209,0.0003680461,0.0021364635,0.00030370217,0.00028040502,0.000090480135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060114346,0.00012574244,0.0005449424,0.000120149976,0.000099402154,0.00015236733,0.00046948655,0.00008156672,0.0005252264],"category_scores_gemma":[0.0006392265,0.0001165967,0.00030622666,0.00015121675,0.00007836588,0.0003810235,0.0000959525,0.00017749873,0.00008129525],"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":[0.00010942951,0.00013312258,0.9255072,0.000015773785,0.0010567418,0.000019306508,0.0006865833,0.0043483446,0.00023107785,0.057536006,0.0047212574,0.0056351665],"study_design_scores_gemma":[0.0033889078,0.00054229685,0.57198495,0.0004341299,0.00033069946,0.00021692277,0.0012417139,0.060715985,0.013182167,0.18551308,0.1611268,0.0013223392],"about_ca_topic_score_codex":0.0006538435,"about_ca_topic_score_gemma":0.0005235229,"teacher_disagreement_score":0.35352224,"about_ca_system_score_codex":0.00018838308,"about_ca_system_score_gemma":0.00015730185,"threshold_uncertainty_score":0.57508606},"labels":[],"label_agreement":null},{"id":"W2969790574","doi":"10.1162/rest_a_00855","title":"Urban Transport Expansions and Changes in the Spatial Structure of U.S. Cities: Implications for Productivity and Welfare","year":2019,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Decentralization; Economies of agglomeration; Productivity; Welfare; Economic geography; Economics; Central city; Population; Yield (engineering); Agricultural economics; Geography; Economic growth; Market economy","score_opus":0.024614736666141494,"score_gpt":0.23138226313840765,"score_spread":0.20676752647226615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969790574","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":[0.9377156,0.031039728,0.0015126339,0.019571196,0.00007615685,0.0011511889,0.008654151,0.0000018887806,0.0002774948],"genre_scores_gemma":[0.8826726,0.11644126,0.0005580172,0.00019482266,0.000024633067,0.000020022628,0.0000613964,0.0000074924696,0.000019723144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99920166,0.0000137121915,0.0004688047,0.00021186548,0.000008868505,0.00009510497],"domain_scores_gemma":[0.99915576,0.0001612329,0.0003839524,0.00024600644,0.000029285155,0.000023791463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041223568,0.00009942797,0.000501887,0.00005638862,0.000066657856,0.000013291973,0.00012008297,0.000032862423,0.000023557508],"category_scores_gemma":[0.000037465,0.00007288786,0.000043775508,0.000050102808,0.00012303887,0.000042612046,0.000023192875,0.000055785094,2.5792647e-7],"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":[0.000007646597,0.000015268224,0.038002733,0.0011828939,0.00004369739,2.3686805e-8,0.00036123255,0.000024350822,0.0000041329663,0.9551944,0.00008267333,0.0050809146],"study_design_scores_gemma":[0.00078796386,0.00028268626,0.6285291,0.0003785957,0.00016094875,0.000010949285,0.00043271345,0.0059419777,0.000014501047,0.29825976,0.064787455,0.00041337602],"about_ca_topic_score_codex":0.0005079236,"about_ca_topic_score_gemma":0.0016076112,"teacher_disagreement_score":0.6569347,"about_ca_system_score_codex":0.000009824782,"about_ca_system_score_gemma":0.0000145932745,"threshold_uncertainty_score":0.29722807},"labels":[],"label_agreement":null},{"id":"W2972565902","doi":"10.2139/ssrn.2542880","title":"Measuring Urban Agglomeration. A Refoundation of the mean City-Population Size Index","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Geography; Philosophy","score_opus":0.018743285980878516,"score_gpt":0.1924371611307343,"score_spread":0.1736938751498558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972565902","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":[0.9615269,0.00058617955,0.0318016,0.002001755,0.0002720482,0.000095219206,0.0000040847112,0.000008756783,0.0037034987],"genre_scores_gemma":[0.99825984,0.0004984746,0.000051878545,0.00009009606,0.0002706097,0.0000029779073,0.0000043394375,0.000013261935,0.00080854626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985188,0.000042434564,0.0006594527,0.00018580932,0.00006982993,0.0005236206],"domain_scores_gemma":[0.99882895,0.00004401678,0.00080698036,0.0002198849,0.000062164494,0.0000379894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002075893,0.000102096776,0.00026436764,0.00013282005,0.00025104606,0.00007143443,0.00025693048,0.000063173444,0.000053748274],"category_scores_gemma":[0.00021576161,0.00008931419,0.00021830133,0.00021420438,0.000029899013,0.00023339849,0.000029867477,0.00047889075,0.000019301955],"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":[0.0000113017395,0.000023040644,0.21223292,0.0000031092698,0.00011071418,2.155032e-8,0.00008416694,0.0014975258,0.000027263024,0.7838333,0.000015239317,0.0021613897],"study_design_scores_gemma":[0.000417407,0.000060115017,0.117843494,0.00001111894,0.000016981785,0.000012119417,0.00006690482,0.015839253,0.000030676776,0.8628684,0.0026820411,0.00015148734],"about_ca_topic_score_codex":0.0014268021,"about_ca_topic_score_gemma":0.004245718,"teacher_disagreement_score":0.09438943,"about_ca_system_score_codex":0.000633349,"about_ca_system_score_gemma":0.00012807305,"threshold_uncertainty_score":0.3642127},"labels":[],"label_agreement":null},{"id":"W2973228386","doi":"10.7202/1063110ar","title":"Trajectoires de localisation, tendance de regroupement d’établissements et forme urbaine à Lévis (Québec)","year":2019,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.008476937878590902,"score_gpt":0.19315835677253237,"score_spread":0.18468141889394146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973228386","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":[0.8844901,0.019134732,0.021090763,0.06573636,0.0007697369,0.0004863462,0.00021338464,0.00005962919,0.008018987],"genre_scores_gemma":[0.9425099,0.011178033,0.001365746,0.007104737,0.00028808444,0.00011286548,0.000099436584,0.000102434766,0.037238795],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.996429,0.00012453092,0.001249148,0.00091599615,0.00011275214,0.0011685389],"domain_scores_gemma":[0.99759233,0.00029362066,0.0008111852,0.0007312801,0.00012085065,0.00045074656],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017999983,0.0005135978,0.0009388896,0.0008936258,0.00034831782,0.00029314795,0.0006649153,0.0004994213,0.0015038521],"category_scores_gemma":[0.000283129,0.0006575319,0.000839787,0.000974117,0.0013619103,0.0005858921,0.00008515869,0.00061091164,0.00043211228],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001009486,0.00038072374,0.6327868,0.00019375671,0.0009750625,0.000023820827,0.0033823124,0.0059110504,0.00006365593,0.32779917,0.021898506,0.0064842068],"study_design_scores_gemma":[0.0018737544,0.0003222306,0.17666425,0.00016006526,0.00019472784,0.00004216808,0.0006879564,0.033675168,0.00010373496,0.024401376,0.7607655,0.00110906],"about_ca_topic_score_codex":0.43117538,"about_ca_topic_score_gemma":0.38770685,"teacher_disagreement_score":0.738867,"about_ca_system_score_codex":0.0033292153,"about_ca_system_score_gemma":0.0011523188,"threshold_uncertainty_score":0.9995876},"labels":[],"label_agreement":null},{"id":"W2981906565","doi":"10.1093/oso/9780190053710.003.0005","title":"Diverging Neighbors","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.031455947248740034,"score_gpt":0.18257809846185558,"score_spread":0.15112215121311554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981906565","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006288851,0.0015567747,0.0010037925,0.0010044179,0.00048167034,0.00011926148,0.000171256,0.000031828065,0.9955681],"genre_scores_gemma":[0.01702598,0.0014892195,0.00015976377,0.0007285506,0.00023610741,0.0000023266682,0.000087389366,0.00006534328,0.9802053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984771,0.0000011455253,0.00068444514,0.00059634034,0.000030930583,0.0002100243],"domain_scores_gemma":[0.9988356,0.000034177156,0.0005448147,0.0004753402,0.000024707053,0.00008535458],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015377335,0.0002855512,0.0008113485,0.00035651727,0.00006202132,0.00008306805,0.00030465875,0.00028031578,0.017820664],"category_scores_gemma":[0.000007935479,0.00032209812,0.0005361652,0.000022909964,0.000042530337,0.00010441993,0.0001259401,0.00021532307,0.023553628],"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":[0.0000026278192,0.0000046346436,0.00066814973,0.000011702075,0.0002038837,0.000002978214,0.0000111604395,0.00009594348,1.10666626e-7,0.9937885,0.00459581,0.0006144931],"study_design_scores_gemma":[0.000098445154,0.000015179769,0.00011194823,0.00001155038,0.000012250145,9.1150184e-7,0.0000015617911,0.0017272518,4.0518054e-7,0.37356287,0.62412685,0.0003307807],"about_ca_topic_score_codex":0.00044018478,"about_ca_topic_score_gemma":0.000095109055,"teacher_disagreement_score":0.6202256,"about_ca_system_score_codex":0.00013138421,"about_ca_system_score_gemma":0.000029361343,"threshold_uncertainty_score":0.9999231},"labels":[],"label_agreement":null},{"id":"W2982145305","doi":"10.1093/oso/9780190053710.003.0007","title":"Montreal","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.028307024057519416,"score_gpt":0.17733828823658448,"score_spread":0.14903126417906506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982145305","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027184265,0.0015156872,0.00048023084,0.00093888526,0.0003168711,0.00011702439,0.00021400682,0.0000268744,0.9963632],"genre_scores_gemma":[0.005870867,0.0014200212,0.000116789364,0.00054394116,0.00022769127,0.0000025822894,0.000102660415,0.00005759245,0.99165785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998626,8.60389e-7,0.00064176304,0.0005331941,0.000023963821,0.00017423545],"domain_scores_gemma":[0.99894917,0.00002432832,0.00045469956,0.00047222912,0.000021721151,0.00007785215],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012147435,0.0002514889,0.00077834725,0.00026881957,0.00003562641,0.00006043533,0.00024949736,0.00029421574,0.015825002],"category_scores_gemma":[0.0000050932617,0.0002797932,0.00049989676,0.000014556256,0.000035228153,0.00006883283,0.00007067394,0.00017816249,0.0330702],"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":[0.0000032082949,0.0000055555015,0.00016914798,0.0000080460895,0.00018759292,0.0000027721867,0.0000071193044,0.000040555977,5.597247e-8,0.9838452,0.014763421,0.00096735125],"study_design_scores_gemma":[0.00009213236,0.000016716887,0.00013272569,0.000005755316,0.000009137329,0.0000010057377,6.759613e-7,0.0010487812,1.6273101e-7,0.4015925,0.59685427,0.00024615758],"about_ca_topic_score_codex":0.0016456698,"about_ca_topic_score_gemma":0.00074448815,"teacher_disagreement_score":0.5822527,"about_ca_system_score_codex":0.00009612236,"about_ca_system_score_gemma":0.000027245012,"threshold_uncertainty_score":0.9999654},"labels":[],"label_agreement":null},{"id":"W2986240962","doi":"10.5195/lawreview.2019.662","title":"Opportunity Knocking? Are Opportunity Zones a Model for a Smarter Federal Homeowner Subsidy?","year":2019,"lang":"en","type":"article","venue":"University of Pittsburgh Law Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"York University; Case Western Reserve University","keywords":"Subsidy; Business; Opportunity cost; Economics; Microeconomics; Market economy","score_opus":0.06247383779547022,"score_gpt":0.2177144578771281,"score_spread":0.15524062008165787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986240962","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":[0.42514348,0.086114936,0.26527324,0.05936104,0.0015772212,0.0084695425,0.003244551,0.0003422172,0.15047376],"genre_scores_gemma":[0.9534954,0.033096362,0.0010599529,0.004198335,0.000059092745,0.000004978178,0.00011601032,0.00003834192,0.007931542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986968,0.000021217154,0.0005218164,0.0004477804,0.000049235394,0.00026316513],"domain_scores_gemma":[0.99829143,0.00004980076,0.00080162706,0.00047945892,0.0001315088,0.00024615802],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005624577,0.00020013479,0.00107,0.00012310855,0.00017739307,0.000026494356,0.00038653417,0.00010679506,0.0013376029],"category_scores_gemma":[0.00004468157,0.00023085656,0.00065132277,0.00013551314,0.00010130768,0.00029882934,0.00010837411,0.00011899846,0.00008963015],"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":[0.00006053005,0.0002511564,0.015176303,0.0020571628,0.0003977679,0.000008855904,0.00017499865,0.00049024617,0.0000037099228,0.9677157,0.012259147,0.0014044411],"study_design_scores_gemma":[0.0013984748,0.0001361879,0.0028533712,0.00088307535,0.00018002966,0.000005275589,0.00014013109,0.063289575,0.0000017540898,0.11194557,0.818317,0.00084958767],"about_ca_topic_score_codex":0.0018850026,"about_ca_topic_score_gemma":0.0005374158,"teacher_disagreement_score":0.8557701,"about_ca_system_score_codex":0.000090226895,"about_ca_system_score_gemma":0.00007808032,"threshold_uncertainty_score":0.9995753},"labels":[],"label_agreement":null},{"id":"W2989701431","doi":"","title":"The Kijiji Second-hand Economy Index: 2016","year":2015,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Université du Québec à Montréal","funders":"","keywords":"Index (typography); Economy; Economics; Purchasing; Phenomenon; Goods and services; Business; Public economics; Operations management","score_opus":0.027869390718465385,"score_gpt":0.18485233965261152,"score_spread":0.15698294893414613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989701431","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16823964,0.0024466526,0.0031282504,0.0052181394,0.00038454478,0.00034061828,0.00035560213,0.000064786575,0.8198218],"genre_scores_gemma":[0.91543,0.0012332725,0.000326613,0.0004114574,0.00020502137,0.000005092426,0.000069147354,0.000041088522,0.08227829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981175,0.00009112171,0.0005114648,0.0006568609,0.000074125826,0.0005488997],"domain_scores_gemma":[0.99792266,0.00030480686,0.00045279422,0.0007782856,0.00011882211,0.0004226104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000697029,0.0002936548,0.0005281188,0.0004938229,0.0008936065,0.00024929285,0.0011983768,0.00012253427,0.00037275182],"category_scores_gemma":[0.00010953146,0.00029487573,0.00041733042,0.00038409603,0.00056296994,0.00048439065,0.0005351157,0.0004132249,0.00062763283],"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":[0.00028879772,0.00015514261,0.022257496,0.000015506439,0.00072190707,0.000071285765,0.0026169792,0.00033428846,0.000011130362,0.9552189,0.016153509,0.0021550243],"study_design_scores_gemma":[0.0010543921,0.00009664962,0.002464806,0.000011766989,0.000019821482,0.000011812745,0.0014910143,0.018016523,0.0000060824964,0.05194241,0.9244896,0.00039512265],"about_ca_topic_score_codex":0.0022154755,"about_ca_topic_score_gemma":0.0052296296,"teacher_disagreement_score":0.9083361,"about_ca_system_score_codex":0.00038362714,"about_ca_system_score_gemma":0.00027213694,"threshold_uncertainty_score":0.99995035},"labels":[],"label_agreement":null},{"id":"W2991262350","doi":"10.1080/08865655.2019.1692229","title":"The role of the international border in high-tech economies","year":2019,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"International trade; Economics; Economic geography; Business; Economy; Economic system","score_opus":0.013541162337776679,"score_gpt":0.23322976228332357,"score_spread":0.21968859994554688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991262350","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":[0.9715652,0.010732437,0.000007743404,0.009858833,0.0008884439,0.00006421924,0.0000139425465,0.0000011904375,0.0068679824],"genre_scores_gemma":[0.99165046,0.007073689,0.000050807164,0.00009629749,0.000106884996,0.00000286669,4.712454e-7,0.0000068135805,0.0010116829],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883115,0.000011530748,0.00087586144,0.00010982331,0.000050069662,0.00012159098],"domain_scores_gemma":[0.9985369,0.00014708523,0.001006105,0.0001737786,0.00011907501,0.000017046315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068828894,0.000088800756,0.00044533593,0.00015434125,0.00007406344,0.000040079572,0.00046244095,0.00003601075,0.00006965427],"category_scores_gemma":[0.0001342428,0.000054094784,0.00022189846,0.00012644984,0.000077534365,0.00013200163,0.00011898188,0.00014219225,0.000018735735],"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":[0.000050118302,0.000045590485,0.8518703,0.0000068276586,0.0006386678,6.032403e-7,0.00045286317,0.0017386668,0.000015718295,0.14315027,0.0006159579,0.0014144393],"study_design_scores_gemma":[0.0017866169,0.00018814593,0.30624986,0.00007319639,0.00003149174,0.000012026397,0.0042406432,0.004401899,0.00020320735,0.3442132,0.33833748,0.00026223113],"about_ca_topic_score_codex":0.00029044726,"about_ca_topic_score_gemma":0.0009495581,"teacher_disagreement_score":0.54562044,"about_ca_system_score_codex":0.00008961672,"about_ca_system_score_gemma":0.000031786123,"threshold_uncertainty_score":0.22059213},"labels":[],"label_agreement":null},{"id":"W2992380410","doi":"10.25071/1874-6322.22706","title":"Intercity Income Inequality Growth and Convergence in China","year":2009,"lang":"en","type":"article","venue":"Journal of Income Distribution","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Stochastic dominance; Inequality; Welfare; Income distribution; Economic inequality; Convergence (economics); China; Globalization; Pace; Polarization (electrochemistry); Dominance (genetics); Per capita; Distribution (mathematics); Development economics; Economic geography; Geography; Economic growth; Econometrics; Population; Market economy","score_opus":0.01559052928674391,"score_gpt":0.2266676758365789,"score_spread":0.211077146549835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992380410","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":[0.98106146,0.00044617598,0.015596124,0.0023234636,0.00014924005,0.000042027525,0.00007801708,0.000003362514,0.00030014565],"genre_scores_gemma":[0.9988904,0.000809758,0.000114263945,0.00008687074,0.000068248504,6.7524235e-7,0.000019105371,0.0000032315345,0.0000074248733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985953,0.000025366317,0.0010346428,0.0001559438,0.00004166296,0.00014710831],"domain_scores_gemma":[0.99895245,0.000028580282,0.0007677359,0.000103692786,0.0000553541,0.00009220357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008979875,0.00010563257,0.0004665017,0.0002012694,0.000045585122,0.000042335825,0.00015227208,0.000074484604,0.00004455803],"category_scores_gemma":[0.00021569055,0.00010632396,0.00013874366,0.00025054932,0.00004186072,0.0003753957,0.000030188343,0.00020944246,0.000009739214],"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":[0.000055951154,0.000087134176,0.7730386,0.0000136233,0.000024414214,0.000009013731,0.00008175851,0.000074832096,0.000029898774,0.22605787,0.000027568036,0.00049931544],"study_design_scores_gemma":[0.0004217157,0.0001330688,0.88734204,0.000028354383,0.0000042056404,0.000016556407,0.000016155805,0.002004847,0.00006362516,0.109700605,0.00015885946,0.000109997556],"about_ca_topic_score_codex":0.0005191698,"about_ca_topic_score_gemma":0.00004676883,"teacher_disagreement_score":0.11635727,"about_ca_system_score_codex":0.00018226988,"about_ca_system_score_gemma":0.000018013341,"threshold_uncertainty_score":0.43357652},"labels":[],"label_agreement":null},{"id":"W2996001081","doi":"10.1093/oso/9780190053710.001.0001","title":"The Wealth and Poverty of Cities","year":2019,"lang":"en","type":"book","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Poverty; Economics; Geography; Development economics; Economic growth","score_opus":0.02055404429677062,"score_gpt":0.18600550252887849,"score_spread":0.16545145823210786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996001081","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026526698,0.0071558445,0.0001283645,0.0018187976,0.0002242772,0.000117163945,0.00020648747,0.000005377231,0.99007845],"genre_scores_gemma":[0.0051571256,0.013728567,0.000040635907,0.00046536225,0.00009130858,0.0000035455955,0.000028826964,0.000019976294,0.98046464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897116,0.0000037525072,0.00060464116,0.00026218072,0.000022532704,0.00013570877],"domain_scores_gemma":[0.99886054,0.00013910228,0.00061399647,0.0003226242,0.000024580206,0.000039163064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029479066,0.00014177381,0.0005878274,0.00011573194,0.00007575404,0.000054583328,0.0002055823,0.00014008635,0.00032397057],"category_scores_gemma":[0.000016217664,0.00010873377,0.00019622434,0.0000258344,0.000109286244,0.00004642375,0.0000821188,0.0001203097,0.00023055145],"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":[0.0000042424804,0.0000031981547,0.00085214595,0.000032679403,0.00012990608,1.18502605e-7,0.000021320333,0.0000066391353,4.3856176e-8,0.9394796,0.058926906,0.0005432386],"study_design_scores_gemma":[0.00008213883,0.000027642724,0.00046674092,0.0000097504335,0.00000774236,5.573863e-7,0.000012358212,0.000914556,4.2874444e-7,0.28119317,0.71716297,0.00012197154],"about_ca_topic_score_codex":0.00061021914,"about_ca_topic_score_gemma":0.00032102253,"teacher_disagreement_score":0.6582864,"about_ca_system_score_codex":0.000069031856,"about_ca_system_score_gemma":0.00007457663,"threshold_uncertainty_score":0.44340345},"labels":[],"label_agreement":null},{"id":"W2997074469","doi":"10.1007/s00168-019-00968-1","title":"New business location: how local characteristics influence individual location decision?","year":2020,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Business; Computer science","score_opus":0.11807981718557553,"score_gpt":0.27775671153725523,"score_spread":0.1596768943516797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997074469","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":[0.5195884,0.0012444435,0.25623396,0.22197145,0.00017684826,0.00019295115,0.000046067,0.000022551121,0.00052331935],"genre_scores_gemma":[0.9940959,0.0004483169,0.0007537283,0.0043900684,0.00019241268,0.0000044481976,0.00001066823,0.000008039212,0.00009640812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99861175,0.000010508035,0.0004909065,0.0004262426,0.00021126568,0.0002493192],"domain_scores_gemma":[0.998143,0.00010522101,0.0005831847,0.0003405014,0.0006085358,0.00021955562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082033133,0.00013427107,0.00031465275,0.00015274594,0.000232804,0.00017541923,0.0011738159,0.00005002543,0.00006129907],"category_scores_gemma":[0.0005684106,0.00011389861,0.00008341139,0.0021049606,0.00069504447,0.0006151293,0.00017055594,0.00010436762,0.00014483841],"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":[0.00013655414,0.00008539582,0.01670601,0.000049099526,0.00009856573,0.0000028553377,0.0013083705,0.035531607,0.00012569262,0.87802774,0.0141621595,0.053765945],"study_design_scores_gemma":[0.00032184238,0.00012109869,0.83266944,0.000064392414,0.000016083679,0.000009066599,0.00017072282,0.03678639,0.0002820043,0.07186489,0.05727417,0.00041992264],"about_ca_topic_score_codex":0.00048807362,"about_ca_topic_score_gemma":0.000024775834,"teacher_disagreement_score":0.8159634,"about_ca_system_score_codex":0.000026441045,"about_ca_system_score_gemma":0.0003225788,"threshold_uncertainty_score":0.46446505},"labels":[],"label_agreement":null},{"id":"W3004011009","doi":"10.1007/978-3-642-36203-3_37-1","title":"Relational and Evolutionary Economic Geography","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","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":"HEC Montréal; University of Toronto","funders":"","keywords":"Situated; Context (archaeology); Perspective (graphical); Time geography; Strategic geography; Critical geography; Economic geography; Epistemology; Data science; Management science; Geography; Sociology; Human geography; Computer science; Development geography; Historical geography; Artificial intelligence; Engineering","score_opus":0.03187878383232677,"score_gpt":0.17478308865036282,"score_spread":0.14290430481803607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004011009","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010777854,0.004945348,0.00057099696,0.006070568,0.00020437119,0.00012748034,0.00066188426,0.000037747253,0.9872738],"genre_scores_gemma":[0.06506513,0.010619201,0.0036911138,0.0025612803,0.0013650297,0.000028024853,0.0010760997,0.00018520275,0.9154089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99834645,0.0000021721237,0.00076559983,0.0007094616,0.000026929529,0.00014937606],"domain_scores_gemma":[0.99906415,0.000047334026,0.00047558016,0.00023518644,0.00001637972,0.0001613767],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000108836735,0.00028542642,0.00066274474,0.00036683172,0.00010874262,0.00005620159,0.00015231303,0.0002839612,0.0062456448],"category_scores_gemma":[0.000007322717,0.0003520876,0.0004005382,0.000017691129,0.0001305399,0.00014543175,0.00011439196,0.00023366396,0.0041305823],"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":[0.0000071488535,0.000003861789,0.0030652075,0.000009076772,0.00028099836,0.0000026215787,0.0000062940776,0.000114820024,4.60631e-8,0.98839456,0.0078929495,0.00022241754],"study_design_scores_gemma":[0.000106762534,0.000020549369,0.0020185648,0.000005214448,0.00001501447,0.0000034948337,8.9540623e-7,0.003625106,4.7435638e-8,0.51665443,0.4772888,0.00026111284],"about_ca_topic_score_codex":0.00025397565,"about_ca_topic_score_gemma":0.000053407926,"teacher_disagreement_score":0.47174013,"about_ca_system_score_codex":0.0001227556,"about_ca_system_score_gemma":0.00003716251,"threshold_uncertainty_score":0.9998931},"labels":[],"label_agreement":null},{"id":"W3005053226","doi":"10.1016/j.cities.2020.102641","title":"Localization, urbanization and globalization: Dynamic manufacturing specialization in the YRD mega-city conglomeration","year":2020,"lang":"en","type":"article","venue":"Cities","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":28,"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 Lethbridge","funders":"National Natural Science Foundation of China","keywords":"Globalization; Urbanization; Economic geography; Industrialisation; Manufacturing; Panel data; Index (typography); Economics; Business; Economic growth; Market economy; Econometrics","score_opus":0.027075470069571863,"score_gpt":0.1995256466849658,"score_spread":0.17245017661539394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005053226","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":[0.54724747,0.0020379461,0.41538677,0.020016953,0.00029497955,0.00050391344,0.00010712539,0.00006665992,0.014338187],"genre_scores_gemma":[0.9968556,0.00060904294,0.00006648463,0.002054294,0.000119879,0.0000100455845,0.00017560272,0.000010168756,0.00009884711],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914324,0.000023947418,0.0004303909,0.00025364792,0.000040376402,0.000108403816],"domain_scores_gemma":[0.9996144,0.000025338217,0.00018961441,0.00010387405,0.00003138262,0.000035356552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018582771,0.000103508995,0.0002023343,0.00009725394,0.00014797464,0.0001889823,0.0001170515,0.00004123587,0.00018164825],"category_scores_gemma":[0.00007226315,0.00010425984,0.000037406688,0.00026566023,0.00005656021,0.00030989616,0.000025007306,0.000051545583,0.000022719425],"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":[0.000013496291,0.000022436307,0.11510539,0.000041907002,0.000032015596,0.0000026308924,0.003166693,0.020415468,0.0000029609598,0.85981405,0.0009208743,0.00046206763],"study_design_scores_gemma":[0.0008565795,0.00007176118,0.10123149,0.00002110176,0.000023938876,0.0000071611753,0.0014767674,0.681402,0.0001334383,0.14003593,0.07421542,0.00052440655],"about_ca_topic_score_codex":0.00022673544,"about_ca_topic_score_gemma":0.0003710141,"teacher_disagreement_score":0.7197781,"about_ca_system_score_codex":0.000062025545,"about_ca_system_score_gemma":0.000010496333,"threshold_uncertainty_score":0.42515928},"labels":[],"label_agreement":null},{"id":"W3005730190","doi":"10.1016/j.apgeog.2020.102167","title":"Technology, talent and economic segregation in cities","year":2020,"lang":"en","type":"article","venue":"Applied Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"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":"Economic geography; Work (physics); Relation (database); Geography; Regional science; Engineering; Computer science","score_opus":0.01293954621832674,"score_gpt":0.17533561323332417,"score_spread":0.16239606701499743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005730190","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":[0.9731731,0.0012149699,0.00038811722,0.009453071,0.000042747768,0.0001489908,0.000047710706,0.000038146907,0.01549316],"genre_scores_gemma":[0.99820846,0.0006607287,0.00036960206,0.00063902064,0.000040974053,0.000041587045,0.00001605744,0.0000108579425,0.000012726946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990845,0.0000020636,0.0003756371,0.00036750903,0.000011418973,0.00015891327],"domain_scores_gemma":[0.9996472,0.000013659635,0.00015147017,0.00012135711,0.000004271046,0.00006201768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010445177,0.00011169351,0.0003011275,0.000469246,0.000047231053,0.000044518034,0.00012066142,0.00008686378,0.000100447374],"category_scores_gemma":[0.000004853189,0.000137641,0.00007585871,0.0002643614,0.00010491956,0.00007607345,0.000057650912,0.00009660114,0.00017768025],"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":[0.000008635849,0.00000963397,0.26947078,0.000008196632,0.000037843372,6.7771464e-7,0.00010421489,0.0003071529,0.000010410488,0.72783935,0.000098045515,0.002105048],"study_design_scores_gemma":[0.0011197715,0.00008398645,0.16119555,0.0000070209862,0.000012484798,0.000001699088,0.00044900915,0.014679563,0.00013626156,0.78046733,0.04127676,0.0005705537],"about_ca_topic_score_codex":0.0004261307,"about_ca_topic_score_gemma":0.00013958165,"teacher_disagreement_score":0.10827523,"about_ca_system_score_codex":0.0000233285,"about_ca_system_score_gemma":0.00000582531,"threshold_uncertainty_score":0.5612837},"labels":[],"label_agreement":null},{"id":"W3006614785","doi":"10.1111/area.12615","title":"Geographic differences in the distribution of manufacturing firms in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Area","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Corporate governance; Investment (military); Economic geography; Business; Distribution (mathematics); Manufacturing sector; Manufacturing; Cluster (spacecraft); Industrial organization; Point (geometry); Business cluster; Regional science; Economics; Geography; Finance; Mechanism (biology); Marketing; International economics; Political science","score_opus":0.032244378314985285,"score_gpt":0.16655740964383897,"score_spread":0.1343130313288537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006614785","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":[0.99487734,0.00010348992,0.00006479707,0.003662803,0.00002940857,0.00004954777,0.000052661442,0.0000012160951,0.0011587256],"genre_scores_gemma":[0.99957484,0.000052388325,0.0000040430655,0.0002955599,0.000008719204,0.0000060467787,0.000040125266,0.0000020315406,0.000016273327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941325,0.0000062223016,0.00031261033,0.0001441665,0.000021739006,0.00010199381],"domain_scores_gemma":[0.9997362,0.000035230478,0.000114149654,0.000087090215,0.0000036924523,0.000023627212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010517532,0.000057374447,0.00020903071,0.00004233167,0.00001964686,0.000014249768,0.00016366095,0.00002320962,0.00012781993],"category_scores_gemma":[0.000014585613,0.000048993046,0.000050910716,0.00010308186,0.000016822429,0.000043757136,0.0000183533,0.00009422576,0.0000031635163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044723306,0.000013013004,0.98918855,0.0000036967215,0.000010871763,0.0000031424543,0.00028416293,0.00043235652,2.4759848e-7,0.009860649,0.000102042635,0.00009679777],"study_design_scores_gemma":[0.00011369235,0.000013163196,0.9893817,0.0000039703395,0.0000014756844,1.9735928e-7,0.00009437978,0.0027731734,0.000012373541,0.005145361,0.002399168,0.000061344756],"about_ca_topic_score_codex":0.9914683,"about_ca_topic_score_gemma":0.99642134,"teacher_disagreement_score":0.004953004,"about_ca_system_score_codex":0.000083464285,"about_ca_system_score_gemma":0.000036603302,"threshold_uncertainty_score":0.19978784},"labels":[],"label_agreement":null},{"id":"W3008115717","doi":"10.1080/00130095.2020.1715793","title":"Exploring the Causes and Consequences of Regional Income Inequality in Canada","year":2020,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Moncton; Université Laval; McGill University","funders":"","keywords":"Inequality; Economics; Economic inequality; Equity (law); Demographic economics; Distribution (mathematics); Panel data; Income distribution; Economic geography; Econometrics; Political science","score_opus":0.09658242298365625,"score_gpt":0.20618699579346164,"score_spread":0.10960457280980539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008115717","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":[0.98783576,0.00087525236,0.000016415774,0.010276737,0.00010945261,0.00008308641,0.000117452946,0.0000043429563,0.0006815119],"genre_scores_gemma":[0.99788743,0.001224621,0.000046806894,0.00075273676,0.0000503414,0.00002224915,0.0000056198164,0.000007378852,0.000002820715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987772,0.00001862676,0.00070410856,0.00031167222,0.000020270098,0.00016809456],"domain_scores_gemma":[0.999283,0.000118655815,0.00033182287,0.00016992947,0.00000928271,0.000087280336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027087153,0.00011674357,0.000428906,0.00013940703,0.00005351053,0.000027010017,0.00022234037,0.000020768697,0.000088930974],"category_scores_gemma":[0.000025890595,0.000111939,0.00010601389,0.00015258405,0.0001649542,0.00018806655,0.000063227315,0.000099301964,0.000012696683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010785532,0.0000044990707,0.9260011,0.000014146867,0.0000645887,0.0000013530527,0.00018622678,0.001579236,0.000003037358,0.071906164,0.00005528061,0.00017363486],"study_design_scores_gemma":[0.00026794817,0.000024650732,0.97578573,0.000008238298,0.000005470429,0.0000014871159,0.00038523987,0.0027381105,0.00003967775,0.016263967,0.004288267,0.0001911829],"about_ca_topic_score_codex":0.9006851,"about_ca_topic_score_gemma":0.71235955,"teacher_disagreement_score":0.18832554,"about_ca_system_score_codex":0.000090441936,"about_ca_system_score_gemma":0.00013665692,"threshold_uncertainty_score":0.456474},"labels":[],"label_agreement":null},{"id":"W3014786447","doi":"10.32721/ctj.2020.68.1.zeli","title":"The Evaluation of Job Tax Incentives: An Analysis of a Regional Tax","year":2020,"lang":"en","type":"article","venue":"Canadian Tax Journal/Revue fiscale canadienne","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Incentive; Beneficiary; Tax incentive; Order (exchange); Tax deduction; Labour economics; Business; Public economics; Tax credit; Economics; Tax policy; Tax reform; Demographic economics; State income tax; Gross income; Economic growth; Finance; Microeconomics","score_opus":0.06607740816269457,"score_gpt":0.22633577042683686,"score_spread":0.1602583622641423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014786447","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":[0.9440591,0.0023566065,0.0008791703,0.04744804,0.00028060647,0.0002523311,0.0021966205,0.0000044582575,0.0025231056],"genre_scores_gemma":[0.99750805,0.00052364665,0.00015257159,0.0005185052,0.00025738313,0.000014969396,0.00009293632,0.00002533279,0.00090658537],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974932,0.00011478153,0.0012961681,0.00043133783,0.000109257155,0.0005552392],"domain_scores_gemma":[0.9961818,0.00009940208,0.0014396331,0.0004588422,0.00051864696,0.001301676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021631494,0.00020589877,0.00082601036,0.0009513152,0.00035805214,0.000104511506,0.00071881677,0.00013824516,0.0008101619],"category_scores_gemma":[0.00055501313,0.0002082995,0.00057388825,0.0013918437,0.00019504588,0.00027692175,0.000028860703,0.00029947094,0.000017575654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020494506,0.00017890318,0.44557744,0.00012303577,0.013157311,0.00009923531,0.014504545,0.15263793,0.0001475018,0.29458112,0.052400388,0.02638764],"study_design_scores_gemma":[0.0011194499,0.00030948262,0.25152943,0.00004728301,0.0014622883,0.00003248919,0.00230144,0.56656194,0.00002322103,0.02349088,0.15241852,0.0007035631],"about_ca_topic_score_codex":0.34355566,"about_ca_topic_score_gemma":0.9433919,"teacher_disagreement_score":0.5998363,"about_ca_system_score_codex":0.0008653251,"about_ca_system_score_gemma":0.0005366417,"threshold_uncertainty_score":0.8870704},"labels":[],"label_agreement":null},{"id":"W3015622533","doi":"10.3386/w15437","title":"Not Invented Here? Innovation in Company Towns","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distribution (mathematics); Scope (computer science); Business; Economic geography; Industrial organization; Economics","score_opus":0.3990763788238563,"score_gpt":0.44428614696783825,"score_spread":0.04520976814398192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015622533","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":[0.6177144,0.0011324716,0.0002748076,0.020468151,0.00066678016,0.0010983776,0.00074340997,0.000032319298,0.3578693],"genre_scores_gemma":[0.99616605,0.0006168385,0.00059116335,0.0002618835,0.0003552894,0.00009237127,0.0008504265,0.00003361651,0.0010323469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995598,0.000095131916,0.0026283744,0.00097620103,0.00021978984,0.00048250318],"domain_scores_gemma":[0.9973569,0.0003066301,0.0011816608,0.00052005256,0.00054401584,0.00009073731],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00562976,0.0002933418,0.0011166978,0.0040136036,0.00009289298,0.00015163267,0.0009156134,0.0005086053,0.00059130695],"category_scores_gemma":[0.00053573254,0.00038123067,0.00030271237,0.00073083886,0.00020542715,0.00022253195,0.00045162495,0.0011440871,0.00051653234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006457749,0.00017312012,0.0101364,0.00005556253,0.0001360858,0.0000019593465,0.0000824118,0.021504607,0.000023983628,0.9646459,0.0026821238,0.00049326784],"study_design_scores_gemma":[0.00060621835,0.000053844975,0.012115966,0.00006799037,0.0000031570164,0.0000011873285,0.000033069082,0.053597342,0.00008154783,0.9296848,0.003440276,0.00031456203],"about_ca_topic_score_codex":0.007965982,"about_ca_topic_score_gemma":0.0014891296,"teacher_disagreement_score":0.37845168,"about_ca_system_score_codex":0.0018596931,"about_ca_system_score_gemma":0.0005615396,"threshold_uncertainty_score":0.999864},"labels":[],"label_agreement":null},{"id":"W3022033914","doi":"10.3386/w27075","title":"Immigration, Innovation, and Growth","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Immigration; Economic geography; Political science; Economics; Law","score_opus":0.28842694442852895,"score_gpt":0.4134343001258064,"score_spread":0.12500735569727744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022033914","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29332027,0.0053462563,0.003428854,0.16006204,0.0013260491,0.0020032616,0.002363887,0.000092971066,0.5320564],"genre_scores_gemma":[0.9959267,0.0011012113,0.00080011314,0.00024099185,0.00052800716,0.00009138037,0.0006558934,0.00003604783,0.0006196868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969891,0.000050081693,0.0015974243,0.0009154033,0.00016289175,0.00028512045],"domain_scores_gemma":[0.9975243,0.0002889784,0.0008670858,0.00030041445,0.000905427,0.00011374666],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025617739,0.00023771307,0.0007910543,0.0015995005,0.00014606841,0.00018727544,0.0005502976,0.00033985582,0.0003829368],"category_scores_gemma":[0.0007228816,0.00029791595,0.00018267734,0.00044701615,0.0002898132,0.00021256012,0.00061241,0.00069849717,0.00036264083],"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":[0.000023126808,0.000035777313,0.010453794,0.00009801389,0.00023022533,6.550883e-7,0.00012763769,0.00053380436,0.000020143427,0.979162,0.009208328,0.00010652304],"study_design_scores_gemma":[0.00026801502,0.000045314024,0.0038644455,0.000020893165,0.0000054900097,0.0000013691168,0.000030069827,0.02095301,0.000070898626,0.9715936,0.002899464,0.00024743174],"about_ca_topic_score_codex":0.00444,"about_ca_topic_score_gemma":0.00018435589,"teacher_disagreement_score":0.7026064,"about_ca_system_score_codex":0.00046921987,"about_ca_system_score_gemma":0.00041931547,"threshold_uncertainty_score":0.9999473},"labels":[],"label_agreement":null},{"id":"W3022641295","doi":"10.1093/qje/qjaa014","title":"The Making of the Modern Metropolis: Evidence from London*","year":2020,"lang":"en","type":"preprint","venue":"The Quarterly Journal of Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; University of Toronto; London School of Economics and Political Science; Institute for New Economic Thinking; University of Bristol; Princeton University","keywords":"Metropolitan area; Residence; Land Values; Counterfactual conditional; Economic geography; Land value; Scale (ratio); Geography; Population; Industrial Revolution; Regional science; Value (mathematics); Economics; Agricultural economics; Land use; Demographic economics; Engineering; Sociology; Demography; Civil engineering; Archaeology; Cartography; Computer science","score_opus":0.07491075496096442,"score_gpt":0.2477526466386961,"score_spread":0.17284189167773167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022641295","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":[0.8928281,0.026697595,0.007132459,0.067665495,0.0035472016,0.00041678527,0.00051825185,0.000008793508,0.0011853352],"genre_scores_gemma":[0.9930828,0.004733471,0.00041021794,0.00064511684,0.00095777557,0.0000084352405,0.0000033895076,0.000047076846,0.00011172104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963335,0.00012405368,0.0027273158,0.0004333985,0.00006986498,0.00031191317],"domain_scores_gemma":[0.991039,0.00061505235,0.006877519,0.0012491156,0.00014349753,0.00007585949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017121987,0.00035855325,0.0012854994,0.00014964114,0.00030113547,0.00043505133,0.0033816942,0.00021142997,0.00006241518],"category_scores_gemma":[0.00019707294,0.00022151305,0.001529805,0.00013161564,0.00034051423,0.00026920097,0.0004342123,0.001091746,0.000048903596],"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":[0.0015407169,0.00035920367,0.033680636,0.00028307264,0.016270723,0.000022913448,0.031451248,0.25023487,0.00013994252,0.59891754,0.014467536,0.052631583],"study_design_scores_gemma":[0.00031209993,0.00016591008,0.0032789619,0.00019866897,0.00021009591,0.000011446669,0.0005029392,0.10174252,0.00003394643,0.88745886,0.0057645002,0.00032002135],"about_ca_topic_score_codex":0.001251447,"about_ca_topic_score_gemma":0.0008413884,"teacher_disagreement_score":0.28854135,"about_ca_system_score_codex":0.00032546633,"about_ca_system_score_gemma":0.00023300447,"threshold_uncertainty_score":0.903304},"labels":[],"label_agreement":null},{"id":"W3022876766","doi":"","title":"From Sectoral To Functional Urban Specialisation","year":2001,"lang":"en","type":"preprint","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Centre for Economic Policy Research; London School of Economics and Political Science","keywords":"Variety (cybernetics); Economic geography; Transformation (genetics); Business; Function (biology); Production (economics); Economics; Industrial organization","score_opus":0.059868303999142905,"score_gpt":0.20296825025787116,"score_spread":0.14309994625872824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022876766","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":[0.9309414,0.00042976197,0.03798715,0.005165849,0.001164259,0.00030375618,0.0025192194,0.000052058887,0.021436537],"genre_scores_gemma":[0.9903737,0.00016793715,0.004069284,0.00015708372,0.000677849,0.0000015124167,0.0008846901,0.000033754684,0.003634232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982158,0.000042545667,0.0005035919,0.0008624866,0.00010607316,0.00026949245],"domain_scores_gemma":[0.99806786,0.000056879348,0.0007415413,0.00076412305,0.00012980246,0.00023978832],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00039827306,0.00028338828,0.0008673442,0.0007577967,0.00025248385,0.00018166461,0.000833324,0.000381972,0.00538729],"category_scores_gemma":[0.000054737604,0.0004504762,0.0005742547,0.00034142283,0.00009418615,0.00048024737,0.00078036386,0.00064357644,0.0013602967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072208594,0.00090791995,0.50157964,0.000115329356,0.0027949517,0.00010738356,0.007301237,0.01681488,0.00037679437,0.35117766,0.11474386,0.0033582645],"study_design_scores_gemma":[0.0012378973,0.00012158106,0.46465665,0.00009510651,0.0001690941,0.0000023960542,0.0010529289,0.0062311986,0.000016947826,0.22069472,0.30441868,0.0013028044],"about_ca_topic_score_codex":0.03622331,"about_ca_topic_score_gemma":0.007931244,"teacher_disagreement_score":0.18967482,"about_ca_system_score_codex":0.00038147584,"about_ca_system_score_gemma":0.00008525291,"threshold_uncertainty_score":0.9997947},"labels":[],"label_agreement":null},{"id":"W3022933309","doi":"","title":"Spatial Price Differences in China: Estimates and Implications","year":2004,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":291,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Purchasing power; Cost of living; China; Economics; Rural area; Demographic economics; Inequality; Geography; Economic growth; Macroeconomics","score_opus":0.023691988517592674,"score_gpt":0.2111213210644555,"score_spread":0.18742933254686284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022933309","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":[0.9420112,0.0004770382,0.029139351,0.008841594,0.000039695457,0.000086707194,0.000023181872,0.000016604223,0.019364625],"genre_scores_gemma":[0.99779564,0.0004391573,0.0014548199,0.00012527847,0.000024890256,0.000017065558,0.00000733119,0.00000584998,0.00012999198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99929005,0.0000016644037,0.00031426048,0.0002515602,0.000009257178,0.00013323112],"domain_scores_gemma":[0.9996999,0.00002070015,0.000100180805,0.00012231115,0.0000064453884,0.000050495863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009626797,0.00008156128,0.00024022855,0.00015792531,0.00005810787,0.000058055066,0.00009755581,0.000040099872,0.00014720358],"category_scores_gemma":[0.000026265223,0.000081447775,0.000042445445,0.00012421927,0.000042006002,0.00011130988,0.00003538297,0.000051596588,0.0000765598],"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":[0.0000013972787,0.000032999633,0.41174003,0.0000026958344,0.000011594537,3.1316725e-7,0.00007030774,0.00012904263,0.0000043400564,0.58752584,0.000007807921,0.0004735938],"study_design_scores_gemma":[0.00018630188,0.000014473235,0.6920665,0.0000025002537,0.0000013708705,0.0000012558485,0.000008096006,0.0029971977,0.000008292059,0.30441776,0.0002121099,0.00008418691],"about_ca_topic_score_codex":0.013916865,"about_ca_topic_score_gemma":0.0024995513,"teacher_disagreement_score":0.28310812,"about_ca_system_score_codex":0.000045976492,"about_ca_system_score_gemma":0.000010565888,"threshold_uncertainty_score":0.99264956},"labels":[],"label_agreement":null},{"id":"W3023418069","doi":"10.1007/s10614-020-09984-2","title":"Plant location decisions in the ethanol industry: a dynamic and spatial analysis","year":2020,"lang":"en","type":"article","venue":"Computational Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Government of Alberta","funders":"Agriculture and Agri-Food Canada","keywords":"Counterfactual thinking; Subsidy; Agriculture; Government (linguistics); Order (exchange); Environmental economics; Process (computing); Sizing; Ethanol fuel; Operations research; Computer science; Environmental resource management; Natural resource economics; Economics; Biofuel; Engineering; Geography; Chemistry","score_opus":0.04174553415954051,"score_gpt":0.23166850450280477,"score_spread":0.18992297034326427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023418069","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":[0.87648016,0.00036660695,0.09554455,0.025918376,0.00007290049,0.00020825099,0.00035396038,0.000015129091,0.0010400678],"genre_scores_gemma":[0.9957021,0.00023771134,0.0007909365,0.0028540741,0.00006772573,0.000020259813,0.00030166513,0.0000115792645,0.000013962245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864,0.000025259904,0.0006862582,0.0004531954,0.000029242297,0.00016603273],"domain_scores_gemma":[0.99912626,0.00027590114,0.00030674308,0.00016390564,0.000027530761,0.000099672914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035436283,0.00014481877,0.000415918,0.00033536047,0.000104101695,0.0001443648,0.0002736661,0.00013652293,0.000083658815],"category_scores_gemma":[0.000094086034,0.00014843649,0.00013765806,0.0005032817,0.00006590785,0.000152016,0.00006352537,0.00025277774,0.00012090632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023904566,0.00005306254,0.06503695,0.0000048204706,0.00032582655,0.0000032604046,0.00096576795,0.6863531,3.5189106e-7,0.24428925,0.00012743133,0.0028162983],"study_design_scores_gemma":[0.00027179281,0.000024218209,0.1677381,0.0000019248687,0.000031615713,0.000002570923,0.00009219308,0.7622509,2.742988e-7,0.067567654,0.0018758988,0.00014289629],"about_ca_topic_score_codex":0.00083175243,"about_ca_topic_score_gemma":0.0014549742,"teacher_disagreement_score":0.17672159,"about_ca_system_score_codex":0.00008652823,"about_ca_system_score_gemma":0.000048965176,"threshold_uncertainty_score":0.60530645},"labels":[],"label_agreement":null},{"id":"W3025700768","doi":"","title":"Location Theories and Business Location Decision: A Micro-Spatial Investigation of a Nonmetropolitan Area in Canada","year":2016,"lang":"en","type":"article","venue":"INRIA a CCSD electronic archive server","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Central business district; Regional science; Economic geography; Business; Engineering; Transport engineering","score_opus":0.008770959028190133,"score_gpt":0.17705081338362294,"score_spread":0.1682798543554328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025700768","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":[0.9443702,0.0010227117,0.052800365,0.0013772667,0.000066968576,0.00014396769,0.000045315483,0.000004415486,0.00016880459],"genre_scores_gemma":[0.99898183,0.0005361687,0.00022735637,0.00011904284,0.000039749597,0.000022480292,0.000025796071,0.000014159591,0.00003342754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986559,0.000029817436,0.00062725856,0.00035299596,0.00005114347,0.00028289025],"domain_scores_gemma":[0.99906045,0.00018903048,0.00035964703,0.0002333587,0.00009408618,0.0000634132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029865358,0.00014306768,0.00035104464,0.00026414153,0.00005124056,0.000018094515,0.00015962381,0.00004558254,0.00005631402],"category_scores_gemma":[0.00014880812,0.0001275443,0.000040345552,0.00042586864,0.00011001173,0.00020256742,0.000051944913,0.000078203455,0.000010133427],"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":[0.0001166913,0.000021588081,0.35678363,0.00003656092,0.000071884926,9.75334e-7,0.00023407841,0.0006245209,0.00028008182,0.63837534,0.00005546231,0.003399171],"study_design_scores_gemma":[0.00074395176,0.000051366576,0.48522502,0.000086167944,0.000008886189,0.0000028999002,0.000053917985,0.0055580945,0.0002623656,0.5071656,0.0006395202,0.00020220941],"about_ca_topic_score_codex":0.7015683,"about_ca_topic_score_gemma":0.9618661,"teacher_disagreement_score":0.26029778,"about_ca_system_score_codex":0.0007874996,"about_ca_system_score_gemma":0.0007195111,"threshold_uncertainty_score":0.5201106},"labels":[],"label_agreement":null},{"id":"W3026848200","doi":"10.22364/ebci.01","title":"Building Fences at Borders or Improving the Quality of Life for the Desperate?","year":2006,"lang":"lv","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission; Central European University; Northern Illinois University; Princeton University; Yale University","keywords":"Atlanta; Economies of agglomeration; Quality (philosophy); Economic geography; Regional science; Geography; Library science; Computer science; Economic growth; Economics; Metropolitan area; Archaeology","score_opus":0.06327404798185118,"score_gpt":0.27713873422810953,"score_spread":0.21386468624625835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026848200","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":[0.9003681,0.009826998,0.059587218,0.025141379,0.0007277748,0.00080377335,0.0003779823,0.000015522935,0.0031512633],"genre_scores_gemma":[0.9893018,0.001233522,0.001408515,0.00072812976,0.00037025323,0.000055239612,0.000010185826,0.000024557243,0.0068678088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732846,0.000038922608,0.0016554502,0.00051450287,0.00006319296,0.00039947775],"domain_scores_gemma":[0.9964786,0.0015440357,0.0012874266,0.00052450964,0.00010051822,0.00006490332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021732359,0.0002439919,0.0007305902,0.00011312984,0.0007566249,0.0002442982,0.0006540302,0.00012947983,0.00064847287],"category_scores_gemma":[0.00039399407,0.00014495061,0.0006050383,0.00030800523,0.00029705488,0.00016338001,0.00016606876,0.00011994618,0.000036472633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027304166,0.00010105618,0.046963595,0.000115536386,0.0004932288,2.3019443e-7,0.00016316597,0.013974467,0.00012416173,0.9317877,0.0028838639,0.0031199483],"study_design_scores_gemma":[0.0022713987,0.00030889473,0.09328495,0.000030421792,0.00022789935,0.000002224191,0.001925581,0.69237775,0.00068330445,0.06766786,0.14003666,0.0011830543],"about_ca_topic_score_codex":0.059112053,"about_ca_topic_score_gemma":0.024101181,"teacher_disagreement_score":0.8641198,"about_ca_system_score_codex":0.00013701024,"about_ca_system_score_gemma":0.00012753437,"threshold_uncertainty_score":0.9937064},"labels":[],"label_agreement":null},{"id":"W3033497541","doi":"10.1111/jors.2017.57.issue-5","title":"A review of volume 5 of the handbook of regional and urban economics","year":2017,"lang":"en","type":"review","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Regional Economics and Spatial Analysis","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":"University of British Columbia","funders":"","keywords":"Economics; Regional science; Volume (thermodynamics); Urban economics; Sociology; Microeconomics; Thermodynamics","score_opus":0.1550385475109563,"score_gpt":0.3868228911028115,"score_spread":0.23178434359185518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033497541","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.123466134,0.8634451,0.000007916211,0.0037334308,0.00028979516,0.0012113799,0.0032143057,0.000004521409,0.004627414],"genre_scores_gemma":[0.06210923,0.93650174,0.00055919954,0.00025640853,0.00022824503,0.000024535278,0.000026738018,0.000044173295,0.00024972213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99101275,0.00015667654,0.004846637,0.001688149,0.00021790812,0.0020778724],"domain_scores_gemma":[0.99019974,0.0010344062,0.0036658046,0.0018334156,0.0007988614,0.0024677925],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.010076284,0.00066179124,0.004898792,0.001681004,0.00049606006,0.000281717,0.0030644648,0.00045099718,0.00017118991],"category_scores_gemma":[0.0038749694,0.0005671358,0.0010246704,0.00074384775,0.01648586,0.0009792519,0.0019949407,0.00089942827,0.0000164606],"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":[0.000031186064,0.00018210964,0.0044443696,0.006338778,0.00015532193,4.360045e-7,0.000016622893,0.000011730776,0.0000045657825,0.9811144,0.00013545404,0.0075650364],"study_design_scores_gemma":[0.0020457206,0.001305958,0.0114896335,0.022270214,0.00056497514,0.000104685445,0.000196117,0.009703957,0.00021169492,0.30629498,0.6438993,0.0019127268],"about_ca_topic_score_codex":0.005443918,"about_ca_topic_score_gemma":0.00030240868,"teacher_disagreement_score":0.6748194,"about_ca_system_score_codex":0.00072862266,"about_ca_system_score_gemma":0.0051685497,"threshold_uncertainty_score":0.999678},"labels":[],"label_agreement":null},{"id":"W3033672502","doi":"10.7202/1083621ar","title":"La croissance des villes canadiennes et australiennes guidée par le hasard ? Enjeux et mesure de la croissance aléatoire urbaine","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.0407439307934143,"score_gpt":0.2627027954224025,"score_spread":0.2219588646289882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033672502","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":[0.7590326,0.052823775,0.0011951384,0.17861809,0.00075367175,0.00007204036,0.00032275665,0.00000547517,0.007176438],"genre_scores_gemma":[0.9806465,0.0061293086,0.004388356,0.002006224,0.00027605158,0.0000042617617,0.000010706089,0.000035469337,0.006503136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99672407,0.00028025595,0.0010712805,0.00066438114,0.00017821557,0.0010817761],"domain_scores_gemma":[0.9958277,0.00042003926,0.0009836041,0.0003966116,0.0007749293,0.0015971321],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0047240863,0.00035251613,0.00079465465,0.00068861654,0.00091499276,0.00084556674,0.001096512,0.00027281177,0.0003060066],"category_scores_gemma":[0.0012787126,0.00042147972,0.0004970157,0.0012606311,0.004596483,0.001282002,0.00006871299,0.0006484193,0.000020240646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018428174,0.00009475399,0.12012313,0.00007194003,0.00021618254,0.0016986047,0.0030980236,0.015372091,0.00025530427,0.8205997,0.035899945,0.002551934],"study_design_scores_gemma":[0.000585283,0.00009953192,0.22792019,0.0005291427,0.00004567271,0.0034275365,0.0011838698,0.0020783346,0.00025402053,0.058192827,0.7050361,0.0006474671],"about_ca_topic_score_codex":0.20450984,"about_ca_topic_score_gemma":0.6036446,"teacher_disagreement_score":0.7624068,"about_ca_system_score_codex":0.0010896112,"about_ca_system_score_gemma":0.011637749,"threshold_uncertainty_score":0.9998237},"labels":[],"label_agreement":null},{"id":"W3035045387","doi":"10.1057/s42214-020-00057-7","title":"Income divergence and global connectivity of U.S. urban regions","year":2020,"lang":"en","type":"article","venue":"Journal of International Business Policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Economics; Divergence (linguistics); Per capita income; Convergence (economics); Distribution (mathematics); Demographic economics; Position (finance); Financial crisis; Panel data; Income distribution; Economic geography; Development economics; Economic growth; Inequality; Econometrics; Macroeconomics; Finance","score_opus":0.02944712173042215,"score_gpt":0.24708920766742903,"score_spread":0.21764208593700687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035045387","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":[0.93046725,0.0008034177,0.010775943,0.051691797,0.0003462388,0.000039808092,0.00021474458,0.0000042762513,0.0056565204],"genre_scores_gemma":[0.9975693,0.0010187802,0.00031770742,0.0004919102,0.00055848365,5.9270997e-7,0.0000026612186,0.000005292855,0.000035249304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990436,0.0000079224565,0.0006683895,0.00013263852,0.000060613856,0.00008686798],"domain_scores_gemma":[0.9985282,0.000037353242,0.0009672191,0.00007160305,0.00028871268,0.000106925094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016642346,0.00008667861,0.00036682814,0.00020046752,0.000031434884,0.00003532274,0.00028381296,0.00004216105,0.000086762404],"category_scores_gemma":[0.0005078704,0.000087506014,0.0001408646,0.00036719453,0.00007881423,0.00029500824,0.00009430064,0.00007543195,0.000013038416],"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":[0.000045319535,0.000035334357,0.48029664,0.000012081178,0.00015124845,0.0000047912813,0.00009129746,0.0005039012,0.000020416606,0.518219,0.00038317137,0.00023682282],"study_design_scores_gemma":[0.00054264953,0.000060296963,0.9231593,0.00002419485,0.00001276923,0.00003831658,0.000031829604,0.0024768643,0.00001912567,0.0628503,0.010660994,0.0001233464],"about_ca_topic_score_codex":0.0012346932,"about_ca_topic_score_gemma":0.000029248604,"teacher_disagreement_score":0.45536867,"about_ca_system_score_codex":0.00009784001,"about_ca_system_score_gemma":0.00007205574,"threshold_uncertainty_score":0.35683915},"labels":[],"label_agreement":null},{"id":"W3035408892","doi":"10.1093/jeg/lbaf005","title":"The price of remoteness: product availability and local cost of living in Ethiopia","year":2025,"lang":"en","type":"preprint","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Microdata (statistics); Cost of living; Product (mathematics); Population; Welfare; Economics; Business; Geography; Agricultural economics; Demographic economics; Economic growth; Demography; Census","score_opus":0.020274111713244558,"score_gpt":0.23095607687155384,"score_spread":0.21068196515830928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035408892","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":[0.9773326,0.014506995,0.0012836572,0.0017851037,0.0010074636,0.00037805949,0.00018643278,0.0000029303962,0.0035167797],"genre_scores_gemma":[0.98585457,0.013295367,0.0006040997,0.0000378321,0.000104630526,0.0000068211775,0.0000022805768,0.000011828641,0.00008257929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99622047,0.00007070515,0.0029812348,0.000450048,0.000043683674,0.0002338694],"domain_scores_gemma":[0.99421674,0.00075221586,0.0042155776,0.00057845656,0.00015677772,0.00008023494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038158018,0.0002454926,0.0014724544,0.0010091388,0.0000627486,0.00006675399,0.0006802783,0.00021906511,0.00005140881],"category_scores_gemma":[0.00042643395,0.00022709438,0.000732412,0.00019227635,0.00040014915,0.00013856008,0.00041408077,0.0006430903,0.0000027553967],"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":[0.00012635202,0.00016773982,0.9262314,0.00050320104,0.00092985306,0.0000017757826,0.00036404247,0.02594733,0.0000033618157,0.040080905,0.00018034274,0.005463737],"study_design_scores_gemma":[0.0005816066,0.00015908573,0.81915605,0.0010955584,0.00011807015,0.0000115484245,0.0003163907,0.024064379,0.000059361788,0.14715189,0.006768996,0.00051710044],"about_ca_topic_score_codex":0.0027115294,"about_ca_topic_score_gemma":0.000951989,"teacher_disagreement_score":0.10707533,"about_ca_system_score_codex":0.0001712488,"about_ca_system_score_gemma":0.00025011657,"threshold_uncertainty_score":0.926064},"labels":[],"label_agreement":null},{"id":"W3036241995","doi":"10.1111/grow.12399","title":"Spatio‐temporal dynamics of technical efficiency in China’s specialized markets: A stochastic frontier analysis approach","year":2020,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Office for Philosophy and Social Sciences","keywords":"Openness to experience; Stochastic frontier analysis; China; Frontier; Economics; Economies of agglomeration; Capital market; Industrial organization; Externality; Economic geography; Microeconomics; Production (economics); Geography; Finance","score_opus":0.028568995093098962,"score_gpt":0.20227418747756812,"score_spread":0.17370519238446916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036241995","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":[0.7696525,0.0025517966,0.20366055,0.008341561,0.00011656503,0.0006163743,0.00065815076,0.000036201454,0.014366282],"genre_scores_gemma":[0.9984814,0.00020363054,0.0007776958,0.00018109783,0.00009988809,0.00003226881,0.00018349457,0.000011917904,0.00002862485],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871916,0.000015806776,0.0005978864,0.0004201404,0.00004358634,0.00020342489],"domain_scores_gemma":[0.9994037,0.000017133209,0.00029630962,0.00014673597,0.000014486575,0.00012164764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023018858,0.00014744276,0.000732245,0.00045150964,0.000037875947,0.0000301713,0.00018115697,0.000100054254,0.00013047148],"category_scores_gemma":[0.000062277846,0.00015887318,0.00022249241,0.00089818554,0.00007776455,0.00010943056,0.00007410886,0.00011333669,0.00000663998],"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":[0.00035241953,0.00043288135,0.7794436,0.00017836581,0.0005739898,0.000007498505,0.0025222031,0.0007236778,0.0000035072674,0.21426582,0.00020182064,0.0012941959],"study_design_scores_gemma":[0.0008298135,0.00009994833,0.36503547,0.000006431229,0.00010199761,9.229935e-7,0.00010639306,0.6261157,0.0000012513713,0.0072511053,0.00014849371,0.0003024919],"about_ca_topic_score_codex":0.0028333394,"about_ca_topic_score_gemma":0.0011309895,"teacher_disagreement_score":0.625392,"about_ca_system_score_codex":0.00005012797,"about_ca_system_score_gemma":0.000010309784,"threshold_uncertainty_score":0.647866},"labels":[],"label_agreement":null},{"id":"W3039234288","doi":"10.1016/j.jrurstud.2020.06.030","title":"Guest editorial: Innovation in peripheries and borderlands","year":2020,"lang":"en","type":"editorial","venue":"Journal of Rural Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Political science; Economic geography; Regional science; Media studies; Sociology; Geography","score_opus":0.02614228556214208,"score_gpt":0.2585312780262241,"score_spread":0.23238899246408204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039234288","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006782412,0.023060443,0.000013116021,0.0034741822,0.9662351,0.000057758967,0.00011276438,0.0000041474486,0.00026008874],"genre_scores_gemma":[0.0069544553,0.037624408,0.000078879195,0.00004997705,0.95503116,0.000004743026,0.00003508752,0.000022276938,0.00019904575],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978093,0.000015517766,0.0017067854,0.00017383326,0.00011562899,0.00017894531],"domain_scores_gemma":[0.99721557,0.0002228719,0.0020123164,0.000088077606,0.00041057667,0.000050585124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083248626,0.0002269866,0.0013572971,0.00042878787,0.00007406191,0.00011088358,0.00019167693,0.00029096202,0.000013586925],"category_scores_gemma":[0.0019844212,0.00021028503,0.0001569972,0.00036445202,0.00009917476,0.0002614859,0.00010043148,0.0005934889,0.000009653177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006949097,0.00001818289,0.0041117715,0.00006703662,0.0004238772,0.0000074949216,0.00068549585,0.000012862689,0.0000012284288,0.002678937,0.9917557,0.00016787644],"study_design_scores_gemma":[0.00058405777,0.00021307636,0.00045098853,0.000101328704,0.000028031709,0.0000015915972,0.000749075,0.000015867197,8.0920233e-7,0.012254563,0.9853867,0.0002138943],"about_ca_topic_score_codex":0.00032801053,"about_ca_topic_score_gemma":0.00024955,"teacher_disagreement_score":0.014563965,"about_ca_system_score_codex":0.00020238756,"about_ca_system_score_gemma":0.00007809483,"threshold_uncertainty_score":0.8575175},"labels":[],"label_agreement":null},{"id":"W3039407420","doi":"10.1007/s10961-020-09812-7","title":"Local capacity, innovative entrepreneurial places and global connections: an overview","year":2020,"lang":"en","type":"article","venue":"The Journal of Technology Transfer","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"National Research University Higher School of Economics","keywords":"Variety (cybernetics); Globalization; Geopolitics; Productivity; Economic geography; State (computer science); Process (computing); Business; Emerging technologies; Face (sociological concept); Technological change; Economic system; Economic growth; Political science; Economics; Market economy; Politics; Sociology; Computer science","score_opus":0.05812732040030421,"score_gpt":0.2405861729248033,"score_spread":0.1824588525244991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039407420","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":[0.9335583,0.0038215548,0.022990309,0.03916631,0.00010167349,0.000060324182,0.00005546654,0.000014618959,0.00023145624],"genre_scores_gemma":[0.996115,0.0028675233,0.00013993696,0.00078676647,0.00007901126,8.6399166e-7,8.999132e-7,0.0000059347594,0.000004016004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991401,0.000022451777,0.0005486795,0.00014110946,0.00002823145,0.000119427605],"domain_scores_gemma":[0.9995539,0.0000321557,0.00016435763,0.000114599636,0.00007394812,0.000061014176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032607064,0.000102174505,0.00038333543,0.00012910488,0.00008328023,0.000024237903,0.00028827082,0.0001108931,0.00009452022],"category_scores_gemma":[0.00005025898,0.00008072304,0.000079825324,0.00048643607,0.00027618316,0.00017563283,0.00002948167,0.0002356494,0.000015613388],"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":[0.00026100516,0.00007785086,0.01740704,0.000014806127,0.00041484198,0.000006981671,0.00056029006,0.0008477739,0.0002232083,0.9770745,0.00016495275,0.002946741],"study_design_scores_gemma":[0.0046571027,0.0029748238,0.019764718,0.000058138845,0.00026137917,0.0006598179,0.002455189,0.013354799,0.0029279373,0.900096,0.05202117,0.0007689485],"about_ca_topic_score_codex":0.00011090308,"about_ca_topic_score_gemma":0.00009634448,"teacher_disagreement_score":0.07697853,"about_ca_system_score_codex":0.00003517695,"about_ca_system_score_gemma":0.000020210742,"threshold_uncertainty_score":0.329179},"labels":[],"label_agreement":null},{"id":"W3041900243","doi":"10.2139/ssrn.3648796","title":"Trends in Absolute Income Mobility in North America and Europe","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Absolute (philosophy); Geography; Demographic economics; Economics; Theology","score_opus":0.015740406272337654,"score_gpt":0.20086382689102703,"score_spread":0.18512342061868936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041900243","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":[0.9880813,0.0030651782,0.00063869427,0.0060261698,0.000033520653,0.00003856368,0.000014360751,0.000005950727,0.0020962823],"genre_scores_gemma":[0.98937666,0.009910461,0.000033604007,0.00037163292,0.00007989218,0.0000030019123,0.000006608864,0.000013322833,0.00020481582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998183,0.000023113238,0.00061444304,0.0003129792,0.000026085047,0.0008403948],"domain_scores_gemma":[0.9995157,0.000018756533,0.00024463874,0.000104686995,0.000013018014,0.000103162594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004872945,0.000121417695,0.0004017623,0.0003620715,0.00004751054,0.000050614985,0.00019414266,0.000039783245,0.00009508097],"category_scores_gemma":[0.000045943623,0.00013282766,0.00009626604,0.00076725264,0.000041473013,0.0001800551,0.000052458992,0.0008442198,0.00007670321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007748937,0.0001097577,0.83429676,0.000006901228,0.00010436469,0.000014386229,0.00047792037,0.0027412388,0.000003153043,0.1380794,0.000032152922,0.02405647],"study_design_scores_gemma":[0.0011089161,0.00031353702,0.8482448,0.0000046747173,0.0000069046478,0.000022455495,0.00020261978,0.03141525,4.2481673e-7,0.102905735,0.0154333,0.00034142175],"about_ca_topic_score_codex":0.0013445339,"about_ca_topic_score_gemma":0.018189155,"teacher_disagreement_score":0.03517367,"about_ca_system_score_codex":0.0003423028,"about_ca_system_score_gemma":0.000109635024,"threshold_uncertainty_score":0.99972636},"labels":[],"label_agreement":null},{"id":"W3047527465","doi":"10.1257/jep.34.3.27","title":"How Close Is Close? The Spatial Reach of Agglomeration Economies","year":2020,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Microfoundations; Real estate; Metropolitan area; Economic geography; Economics; Economy; Economic growth; Macroeconomics; Geography","score_opus":0.03169009683359149,"score_gpt":0.2225973552068075,"score_spread":0.19090725837321604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047527465","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":[0.8720645,0.0055856095,0.0018662849,0.115124114,0.00030787318,0.00017454551,0.00013408613,0.0000065004333,0.004736518],"genre_scores_gemma":[0.9947405,0.003251984,0.00011861335,0.00065098394,0.0009181846,0.0000027159367,0.0000020334253,0.000021015769,0.0002939779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842876,0.000060140515,0.0010258696,0.00025350158,0.000040191095,0.00019155466],"domain_scores_gemma":[0.9972531,0.00018873537,0.0020399296,0.00033386567,0.00008726255,0.00009710553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095029414,0.00019368973,0.00071292935,0.00015137215,0.00016490556,0.00014690649,0.00068647775,0.000071836366,0.0003649003],"category_scores_gemma":[0.000109893015,0.00013818231,0.0004954482,0.00009305348,0.00027078378,0.00047920772,0.00008211541,0.00026882484,0.00008494326],"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":[0.0007664825,0.00018794627,0.014666902,0.000039177223,0.002636424,0.0000041022668,0.050335873,0.004196986,0.0005984903,0.910312,0.0122893,0.0039663003],"study_design_scores_gemma":[0.005849244,0.0026502032,0.06508995,0.00007308867,0.0006873828,0.0001750238,0.0735192,0.10547557,0.003913593,0.58632976,0.15433034,0.0019066306],"about_ca_topic_score_codex":0.0007983886,"about_ca_topic_score_gemma":0.00027030183,"teacher_disagreement_score":0.32398224,"about_ca_system_score_codex":0.00020749246,"about_ca_system_score_gemma":0.0000836811,"threshold_uncertainty_score":0.5634911},"labels":[],"label_agreement":null},{"id":"W3086249967","doi":"10.1177/1042258720952288","title":"Regional Path Breaking: The Role of Industry Switching, Industry Diversity, and New Knowledge in New Venture Exit","year":2020,"lang":"en","type":"article","venue":"Entrepreneurship Theory and Practice","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economic geography; Competition (biology); Business; Metropolitan area; Industrial organization; Diversity (politics); Path dependence; Path (computing); Spawn (biology); Economics; Microeconomics; Political science; Geography","score_opus":0.06878241801312036,"score_gpt":0.2543136005616601,"score_spread":0.18553118254853973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086249967","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":[0.9444174,0.011337521,0.00023175581,0.030516343,0.00008789205,0.00013298064,0.000016324864,0.000012866692,0.013246894],"genre_scores_gemma":[0.9965672,0.001036987,0.00004325135,0.0016640361,0.00023648357,0.0000011967587,0.0000034303794,0.000010434826,0.00043696933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989107,0.00017627496,0.00033971647,0.00037701384,0.0000388162,0.00015742364],"domain_scores_gemma":[0.9982266,0.00095510803,0.00041561545,0.00018695535,0.000016020153,0.00019972949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009849472,0.0001413109,0.00029046764,0.00011395242,0.00017961649,0.000059284965,0.00024154823,0.0002815517,0.00020596609],"category_scores_gemma":[0.0006576134,0.00013268532,0.00007297147,0.00028207863,0.00006511236,0.00034914914,0.0004438222,0.0007864336,0.00001631389],"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":[0.00037429886,0.00006370031,0.31181252,0.000012827168,0.00011008736,0.000006474982,0.008284605,0.00009247353,0.000012731571,0.6731927,0.0007464885,0.0052911057],"study_design_scores_gemma":[0.0012110631,0.00013128722,0.084675215,0.000057245667,0.00011367132,0.000041870037,0.005928638,0.0008774241,0.000065580294,0.6819733,0.2245068,0.00041794794],"about_ca_topic_score_codex":0.0015382746,"about_ca_topic_score_gemma":0.000089566456,"teacher_disagreement_score":0.22713731,"about_ca_system_score_codex":0.00001507409,"about_ca_system_score_gemma":0.000054095537,"threshold_uncertainty_score":0.54107505},"labels":[],"label_agreement":null},{"id":"W3088641008","doi":"10.1007/s00181-020-01938-9","title":"Gravity models of interprovincial migration flows in Canada with hierarchical multifactor structure","year":2020,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Economic and Social Research Council; University of York","keywords":"Economics; Unemployment; Econometrics; Gravity model of trade; Panel data; Destinations; Internal migration; Economic geography; Estimator; Demographic economics; Geography; International economics; Macroeconomics; Mathematics; Developing country; Statistics; Tourism","score_opus":0.03120132792784113,"score_gpt":0.2052091114614628,"score_spread":0.17400778353362167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088641008","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":[0.98787946,0.000058000067,0.0032564986,0.007453492,0.00008736319,0.00014851817,0.00057093916,0.0000068805084,0.00053887605],"genre_scores_gemma":[0.99721843,0.00005134533,0.001178072,0.0013574811,0.00009816305,0.000006341135,0.00005882977,0.000021212807,0.000010123101],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833786,0.000016038583,0.0008867446,0.00049074285,0.000030156942,0.00023846889],"domain_scores_gemma":[0.9991518,0.00006282844,0.0003643381,0.00020090352,0.00002370639,0.00019637049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008909872,0.0001915791,0.0007038973,0.00011004187,0.000032814954,0.000031052346,0.0002689648,0.000095964584,0.00015534137],"category_scores_gemma":[0.000041553547,0.0001961216,0.00011866569,0.00016446745,0.00004942536,0.00022033647,0.0000654614,0.00024324862,0.000011018136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044837914,0.00009357555,0.56487757,0.000049198305,0.00016718438,0.00000976144,0.001213949,0.37668687,0.000026004629,0.054073077,0.0003937503,0.0019606985],"study_design_scores_gemma":[0.00064204243,0.00009599629,0.027200378,0.0000054971965,0.000006801398,0.0000012983506,0.000065430366,0.9444147,0.000061581864,0.024144141,0.0030598873,0.00030224957],"about_ca_topic_score_codex":0.6403075,"about_ca_topic_score_gemma":0.9557411,"teacher_disagreement_score":0.5677278,"about_ca_system_score_codex":0.00051290134,"about_ca_system_score_gemma":0.0004878019,"threshold_uncertainty_score":0.7997607},"labels":[],"label_agreement":null},{"id":"W3089835818","doi":"","title":"Tales of the city: what do agglomeration cases tell us about agglomeration in general?","year":2019,"lang":"en","type":"preprint","venue":"City Research Online (City University London)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council","keywords":"Microfoundations; Economies of agglomeration; Pooling; Economics; Economic geography; Manufacturing; Industrial organization; Empirical evidence; Dynamism; Microeconomics; Business; Macroeconomics; Marketing; Computer science","score_opus":0.10181774462650792,"score_gpt":0.2935987385869068,"score_spread":0.1917809939603989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089835818","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":[0.9894044,0.002454157,0.00031534507,0.0033962661,0.00045976043,0.00081866054,0.0019175571,0.00001672222,0.0012171735],"genre_scores_gemma":[0.9649756,0.029488087,0.00029426833,0.000117950374,0.0002263437,0.0000041512853,0.00077970774,0.0000252604,0.004088621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969694,0.00027774967,0.0008830922,0.0010645337,0.0002776179,0.00052758557],"domain_scores_gemma":[0.99713874,0.0002846792,0.0008147304,0.0011454131,0.00046222433,0.00015419682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016780135,0.00033886338,0.0010340653,0.0012717644,0.00035230385,0.00041321994,0.0012614869,0.0005285331,0.0002669785],"category_scores_gemma":[0.00040211296,0.00036689098,0.0005969467,0.0009519181,0.00047394336,0.0008384043,0.00166961,0.001451368,0.000050751158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002671387,0.0009705029,0.89218795,0.00036283841,0.000415002,0.000053761338,0.0005151518,0.032617845,0.000078581776,0.06931799,0.0008646891,0.0023485373],"study_design_scores_gemma":[0.0023258887,0.0002594515,0.75897336,0.00082226674,0.00008232486,0.000011595839,0.0007061154,0.12969127,0.0003631377,0.024997205,0.08039164,0.0013757319],"about_ca_topic_score_codex":0.03201065,"about_ca_topic_score_gemma":0.03630257,"teacher_disagreement_score":0.1332146,"about_ca_system_score_codex":0.0010525088,"about_ca_system_score_gemma":0.00041868334,"threshold_uncertainty_score":0.9998783},"labels":[],"label_agreement":null},{"id":"W3090100902","doi":"10.17645/up.v5i3.2986","title":"Techs and the Cities: A New Economic Development Paradigm?","year":2020,"lang":"en","type":"article","venue":"Urban Planning","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Negotiation; Local economic development; Amazon rainforest; Business; Local Development; Economic growth; Regional science; Economics; Political science; Geography","score_opus":0.04301680970148891,"score_gpt":0.19942083376102904,"score_spread":0.15640402405954013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090100902","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":[0.76184154,0.022448031,0.036836732,0.09150212,0.00053348904,0.0006902646,0.00009123139,0.00016987191,0.085886724],"genre_scores_gemma":[0.99562246,0.000106411164,0.00076213933,0.0022367279,0.00028217133,0.0000119097085,0.000011176189,0.000015791646,0.000951188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905443,0.000006337635,0.0004461643,0.00029951122,0.000016097769,0.00017744415],"domain_scores_gemma":[0.99946,0.00007698296,0.00020300895,0.00012309794,0.000002858202,0.00013404066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020656179,0.00012412002,0.00035681063,0.00006790222,0.0001443686,0.00013386806,0.0001857287,0.00004402866,0.00017674167],"category_scores_gemma":[0.000031504398,0.000110306624,0.00008088126,0.000058861537,0.000070235794,0.000101277394,0.000066834444,0.000101137295,0.00036501148],"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":[0.000074385745,0.000005671081,0.073308066,0.000014261846,0.00024136898,0.0000049787914,0.008708769,0.0021566337,0.0000011402047,0.89428335,0.020362629,0.00083871686],"study_design_scores_gemma":[0.0016434083,0.000032276577,0.0065114447,0.000016154296,0.00001646561,0.0000045945585,0.00030078762,0.071308084,0.00001730055,0.04402122,0.8757382,0.0003900399],"about_ca_topic_score_codex":0.00029268666,"about_ca_topic_score_gemma":0.000012605455,"teacher_disagreement_score":0.8553756,"about_ca_system_score_codex":0.00005175404,"about_ca_system_score_gemma":0.00004549588,"threshold_uncertainty_score":0.4691606},"labels":[],"label_agreement":null},{"id":"W3091242290","doi":"10.17645/up.v5i3.3679","title":"Planning for Local Economic Development: Research into Policymaking and Practice","year":2020,"lang":"en","type":"article","venue":"Urban Planning","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Toronto Metropolitan University","funders":"","keywords":"Zoning; Urban planning; Prosperity; Vulnerability (computing); Corporate governance; Political science; Economic growth; Local economic development; Environmental planning; Regional science; Sociology; Geography; Economics; Engineering; Management","score_opus":0.193680286975606,"score_gpt":0.35098332209906097,"score_spread":0.15730303512345498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091242290","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":[0.48391297,0.017914359,0.37236437,0.04157666,0.00053306104,0.0011021363,0.00014287607,0.00019159564,0.082261965],"genre_scores_gemma":[0.9888848,0.00003112923,0.009079746,0.0012857473,0.00044381892,0.000037315134,0.000033020835,0.000033331355,0.00017107377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984134,0.000025157267,0.00057657494,0.00055596506,0.000038364433,0.00039053443],"domain_scores_gemma":[0.9987633,0.00060508325,0.00026460676,0.00013174672,0.000037850685,0.00019741464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011803921,0.0001524396,0.00037932783,0.00027773294,0.0004223745,0.00020903732,0.0002183482,0.00009684427,0.00003247506],"category_scores_gemma":[0.00045061047,0.00018897431,0.0000710691,0.00013895881,0.00009194102,0.0003552678,0.00013423404,0.00021954362,0.0001726382],"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":[0.0005802738,0.00005835603,0.10897219,0.00023685383,0.00069102505,0.00004397842,0.050234854,0.036171835,0.000062573716,0.7664597,0.02868533,0.007803011],"study_design_scores_gemma":[0.00059432775,0.000110837376,0.002012671,0.000043350276,0.000010804026,0.000008122544,0.0020270122,0.15626474,0.000047493162,0.009599639,0.82888794,0.00039307823],"about_ca_topic_score_codex":0.00036807213,"about_ca_topic_score_gemma":0.000013238157,"teacher_disagreement_score":0.8002026,"about_ca_system_score_codex":0.00018759562,"about_ca_system_score_gemma":0.000071946684,"threshold_uncertainty_score":0.77061486},"labels":[],"label_agreement":null},{"id":"W3091861303","doi":"10.1108/s0731-905320200000042012","title":"A Spatial Panel Model of Bank Branches in Canada","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"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":"Competitor analysis; Competition (biology); Panel data; Market structure; Spatial dependence; Economic geography; Econometrics; Banking industry; Geography; Spatial econometrics; Business; Economics; Industrial organization; Statistics; Financial system; Mathematics; Marketing; Ecology","score_opus":0.06258286128457678,"score_gpt":0.16953287037156944,"score_spread":0.10695000908699266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091861303","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012178686,0.00072725036,0.0035276124,0.001997282,0.0001351121,0.00015810771,0.0007991137,0.000007210412,0.99143046],"genre_scores_gemma":[0.9129224,0.0007292124,0.000244058,0.0006492875,0.0000853381,0.0000058866344,0.000075922406,0.000045755438,0.08524217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816394,0.0000019093584,0.0011239138,0.0004926008,0.000046346784,0.00017128981],"domain_scores_gemma":[0.998953,0.000033627024,0.0006115966,0.00028043694,0.000021641588,0.00009969703],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009353012,0.00025657372,0.001119944,0.00022266668,0.000017832357,0.000015134701,0.00029007278,0.00016147683,0.0013493351],"category_scores_gemma":[0.000014508992,0.000303685,0.00026757937,0.000034138207,0.000035937483,0.000042626,0.00007844118,0.00021516069,0.000103621285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014614598,0.000007621796,0.0025001378,0.00003356064,0.00013295894,0.000006017124,0.000029036517,0.006502802,9.90717e-7,0.9888136,0.0009016605,0.0010570462],"study_design_scores_gemma":[0.00037572024,0.000026283245,0.00049088016,0.000033134573,0.000020206315,6.4619286e-7,0.000008934486,0.5461692,0.000008938872,0.40053445,0.05174103,0.00059056946],"about_ca_topic_score_codex":0.94857955,"about_ca_topic_score_gemma":0.9808045,"teacher_disagreement_score":0.9117045,"about_ca_system_score_codex":0.0004069393,"about_ca_system_score_gemma":0.00053547986,"threshold_uncertainty_score":0.9999415},"labels":[],"label_agreement":null},{"id":"W3100572972","doi":"10.1126/sciadv.aba4934","title":"The universal pathway to innovative urban economies","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Economic geography; Function (biology); Population; Economies of scale; Scaling; Economics; Economy; Geography; Biology; Evolutionary biology; Microeconomics; Sociology; Mathematics","score_opus":0.02480153465262881,"score_gpt":0.21813172654225843,"score_spread":0.19333019188962963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100572972","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":[0.70726633,0.0041434574,0.010102197,0.11931523,0.0012915146,0.00050077675,0.00018823193,0.000096520256,0.15709573],"genre_scores_gemma":[0.9961572,0.000110193636,0.00062472216,0.0021924714,0.00013437233,0.000009689318,0.000001407734,0.0000064339424,0.00076350203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889606,0.000004457922,0.00032916985,0.00044800458,0.000040930605,0.000281348],"domain_scores_gemma":[0.9993237,0.00005634379,0.0001992552,0.00019070915,0.00007318269,0.00015676307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004204255,0.000098246244,0.00020376865,0.00012304651,0.00052003405,0.0002075099,0.000695224,0.000017053342,0.000056985667],"category_scores_gemma":[0.00022930893,0.00008206021,0.00005579666,0.0012494439,0.0004433238,0.0007541697,0.00013159722,0.00007100369,0.00064644305],"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":[0.000014963129,0.0000071356417,0.00988146,0.0000019374183,0.000013630979,9.353975e-7,0.0007599995,0.0012179292,0.00016296792,0.9800401,0.000544431,0.007354536],"study_design_scores_gemma":[0.00013344685,0.00011772748,0.0038430619,0.000002699895,0.0000011039548,3.8033417e-7,0.00089132815,0.003418037,0.001315886,0.03188947,0.95814943,0.00023739903],"about_ca_topic_score_codex":0.00007940983,"about_ca_topic_score_gemma":0.000088534944,"teacher_disagreement_score":0.957605,"about_ca_system_score_codex":0.00008900621,"about_ca_system_score_gemma":0.000079268604,"threshold_uncertainty_score":0.83089334},"labels":[],"label_agreement":null},{"id":"W3118079216","doi":"10.1093/jeg/lbaa019","title":"How do firms in co-located clusters interact? Evidence from Greater Montreal","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"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":"Complementarity (molecular biology); Economic geography; Industrial organization; Context (archaeology); Homogeneous; Business; Similarity (geometry); Aerospace; Agglomerate; Marketing; Economics; Computer science; Engineering; Geography; Artificial intelligence","score_opus":0.03542511528994462,"score_gpt":0.21793447761946128,"score_spread":0.18250936232951664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118079216","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":[0.97549313,0.002109422,0.0006921552,0.020145452,0.0004015809,0.00010637414,0.0001145362,0.000007956967,0.00092939305],"genre_scores_gemma":[0.9969266,0.0014824201,0.00030899514,0.0008104713,0.00038889062,0.0000043061386,0.000011818123,0.000023617895,0.00004284764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784553,0.00003054711,0.0013597739,0.00043761538,0.0000399244,0.0002866246],"domain_scores_gemma":[0.9979208,0.00013369866,0.0014081973,0.00023729754,0.000040750776,0.0002592253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000432339,0.00023979461,0.00094957545,0.0006927956,0.0000445849,0.00035112858,0.00055703777,0.00011986857,0.00046874385],"category_scores_gemma":[0.00007765001,0.00022264269,0.00068667094,0.00019397597,0.00007558516,0.00094670383,0.00006375767,0.0003194653,0.0001893422],"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":[0.00027129377,0.000046869052,0.9885726,0.000012275709,0.00043139272,0.00004355381,0.00088523893,0.0055572744,0.000018342955,0.00055610476,0.0020762226,0.0015288071],"study_design_scores_gemma":[0.0037743137,0.0007019991,0.8785137,0.00021772312,0.00010050515,0.0000276488,0.00082350604,0.06453053,0.00015527853,0.025789926,0.0242956,0.0010692555],"about_ca_topic_score_codex":0.0031529283,"about_ca_topic_score_gemma":0.00050634745,"teacher_disagreement_score":0.11005891,"about_ca_system_score_codex":0.00014683418,"about_ca_system_score_gemma":0.00003580805,"threshold_uncertainty_score":0.9079105},"labels":[],"label_agreement":null},{"id":"W312092898","doi":"","title":"God Tricks or Barnes Tricks? Comments on 'What's Wrong with American Regional Science?'","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mindset; Context (archaeology); Epistemology; Presentation (obstetrics); Sociology; Philosophy; History","score_opus":0.04865833629471171,"score_gpt":0.23586589664429,"score_spread":0.1872075603495783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W312092898","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":[0.95407647,0.0015720772,0.0016658843,0.026351936,0.00096903456,0.00024822293,0.000031113017,0.000009284649,0.015075991],"genre_scores_gemma":[0.994483,0.0005084499,0.0011500083,0.003130521,0.00013743345,0.0000045722986,0.0000016986482,0.00001733318,0.0005669906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99744046,0.000028449045,0.0007778499,0.000598431,0.00036174603,0.0007930424],"domain_scores_gemma":[0.9964994,0.00012925653,0.0011371343,0.00036583433,0.0003996153,0.0014687447],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022187165,0.00024210225,0.0005883863,0.002221129,0.00096108596,0.0007771123,0.0012572753,0.000047815418,0.000300231],"category_scores_gemma":[0.00038678682,0.00019383931,0.00020098545,0.0033116157,0.003356935,0.0017502126,0.000021950646,0.00028964502,0.00006823896],"study_design_candidate":"not_applicable","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":[0.0002726443,0.00021636236,0.09580748,0.000011189832,0.00019095691,0.00031408874,0.0011775864,0.002708921,0.000034274566,0.8697147,0.0075315437,0.0220203],"study_design_scores_gemma":[0.002010388,0.001934951,0.06377251,0.00019518273,0.000038073096,0.0009740204,0.0027337943,0.0018672697,0.00012397666,0.02077315,0.90452284,0.0010538292],"about_ca_topic_score_codex":0.007369363,"about_ca_topic_score_gemma":0.007885411,"teacher_disagreement_score":0.8969913,"about_ca_system_score_codex":0.0010783977,"about_ca_system_score_gemma":0.004081223,"threshold_uncertainty_score":0.9993554},"labels":[],"label_agreement":null},{"id":"W3121159377","doi":"10.1016/j.labeco.2004.09.002","title":"Equilibrium search unemployment with explicit spatial frictions","year":2005,"lang":"en","type":"article","venue":"Labour Economics","topic":"Regional Economics and Spatial Analysis","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":"Université du Québec à Montréal","funders":"","keywords":"Unemployment; Economics; Econometrics; Labour economics; Macroeconomics","score_opus":0.027989600698919332,"score_gpt":0.21204212787006807,"score_spread":0.18405252717114873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121159377","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":[0.96549964,0.00027200356,0.0057739643,0.00916329,0.00020473514,0.0002043001,0.00027746637,0.00006197757,0.018542614],"genre_scores_gemma":[0.99088985,0.0004294573,0.0021294125,0.0009957189,0.0006856489,0.00005007726,0.00006714726,0.00004591232,0.0047067786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998022,0.000011545348,0.00078355457,0.0006560435,0.000030348097,0.0004964979],"domain_scores_gemma":[0.9988443,0.00004234372,0.00030708587,0.00054342323,0.000044463686,0.00021837105],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003126814,0.00025995154,0.00055605185,0.00029710535,0.00014322385,0.00020466477,0.00036524318,0.00011761233,0.0014731572],"category_scores_gemma":[0.000009544755,0.00028923116,0.00020230991,0.00018464333,0.0000630354,0.0004255158,0.000108098175,0.00019277666,0.0012964086],"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":[0.000038380702,0.0001251252,0.03338708,0.000007674046,0.00019831031,0.0000017997592,0.0001926559,0.044101756,0.000010740263,0.91993994,0.00014828728,0.0018482853],"study_design_scores_gemma":[0.0026961453,0.00040057793,0.026823446,0.000018789748,0.00004719727,0.00003101316,0.00024132781,0.1394208,0.00079381827,0.100726284,0.727179,0.001621618],"about_ca_topic_score_codex":0.0032912905,"about_ca_topic_score_gemma":0.0025918845,"teacher_disagreement_score":0.8192136,"about_ca_system_score_codex":0.00035648767,"about_ca_system_score_gemma":0.000059666196,"threshold_uncertainty_score":0.999956},"labels":[],"label_agreement":null},{"id":"W3121255090","doi":"10.17615/vd44-y012","title":"The local effects of monetary policy","year":2009,"lang":"en","type":"preprint","venue":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Metropolitan area; Bayesian vector autoregression; Economics; Bayesian probability; Econometrics; Vector autoregression; Monetary economics; Geography; Statistics","score_opus":0.00721877201757957,"score_gpt":0.16030556627129428,"score_spread":0.15308679425371471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121255090","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":[0.9772778,0.006132583,0.0011688841,0.0006514365,0.00060476444,0.00043180378,0.000504376,0.00003918037,0.013189149],"genre_scores_gemma":[0.9938413,0.0030164358,0.000056312867,0.000047734055,0.00026885731,0.0000017313745,0.00014594225,0.000036011563,0.002585703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974733,0.000046663754,0.0009651505,0.0008926822,0.00016500632,0.00045717758],"domain_scores_gemma":[0.99620587,0.00024031298,0.0019208887,0.0011392804,0.00021450591,0.00027912023],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020385381,0.00046339378,0.001377859,0.0003980075,0.00044484483,0.000054639855,0.001195984,0.00039700547,0.0000049473747],"category_scores_gemma":[0.000088110064,0.0005292579,0.0013811,0.00031279415,0.0007725388,0.00026470673,0.0010683091,0.00047556174,0.000048151473],"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":[0.0008707114,0.0007180378,0.85176307,0.0018096229,0.0034489124,0.00056600734,0.0018600421,0.03953401,0.000039746523,0.051181093,0.001991088,0.046217635],"study_design_scores_gemma":[0.0012754198,0.0004521794,0.92352915,0.00019353698,0.00028271147,0.000056391025,0.00010936993,0.02706527,0.0001260624,0.030404463,0.015256664,0.0012488001],"about_ca_topic_score_codex":0.0040821997,"about_ca_topic_score_gemma":0.00086228503,"teacher_disagreement_score":0.07176604,"about_ca_system_score_codex":0.0006262282,"about_ca_system_score_gemma":0.00020853778,"threshold_uncertainty_score":0.9997159},"labels":[],"label_agreement":null},{"id":"W3121413200","doi":"","title":"Persistence of unemployment in the canadian provinces","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit root; Persistence (discontinuity); Unemployment; Statistic; Economics; Econometrics; Long memory; Unemployment rate; Unit root test; Statistics; Unit (ring theory); Demographic economics; Mathematics; Cointegration; Macroeconomics","score_opus":0.06570350021658994,"score_gpt":0.2774511671706303,"score_spread":0.21174766695404035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121413200","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":[0.7781285,0.0004953778,0.0000014768997,0.005561909,0.0003685826,0.0008106887,0.00030714777,0.000005995412,0.21432033],"genre_scores_gemma":[0.99422085,0.004316238,0.00022095222,0.00018383533,0.00012560863,0.00022352418,0.00005949293,0.000034845576,0.00061467657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966695,0.000104422084,0.0013852741,0.00096957904,0.000101905534,0.00076936657],"domain_scores_gemma":[0.99770445,0.0002910175,0.00055654364,0.0011824492,0.000075276446,0.00019028317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042001493,0.00029010136,0.0008965054,0.0015011766,0.00017760589,0.00022397452,0.0017346839,0.0005496377,0.00017623395],"category_scores_gemma":[0.00030514784,0.0002911489,0.0003551099,0.000275324,0.00048849225,0.00010091849,0.00041349864,0.002000267,0.000032516986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009851971,0.0007127836,0.56140673,0.00042480475,0.00043741713,0.00009184932,0.005309014,0.04868682,0.000017229142,0.3283237,0.00020332324,0.05428782],"study_design_scores_gemma":[0.0018144267,0.00039380408,0.2892205,0.00043076312,0.00003236236,0.000020985472,0.003904675,0.19087383,0.00006901897,0.24979231,0.26101512,0.0024322104],"about_ca_topic_score_codex":0.29655084,"about_ca_topic_score_gemma":0.8734549,"teacher_disagreement_score":0.5769041,"about_ca_system_score_codex":0.0014803185,"about_ca_system_score_gemma":0.0010677723,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W3121449245","doi":"10.1111/j.1467-9957.2009.02151.x","title":"INTERNATIONAL INTEGRATION AND REGIONAL INEQUALITIES: HOW IMPORTANT IS NATIONAL INFRASTRUCTURE?*","year":2011,"lang":"en","type":"article","venue":"Manchester School","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Inequality; Economic integration; Economics; Liberalization; International trade; Economic geography; Distribution (mathematics); Free trade; Globalization; International economics; Economic system; Market economy","score_opus":0.056257591524638946,"score_gpt":0.22022014289720981,"score_spread":0.16396255137257087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121449245","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":[0.83359045,0.0011589278,0.026418794,0.029619167,0.0013463332,0.0004169207,0.00051713095,0.00009839648,0.1068339],"genre_scores_gemma":[0.99131083,0.00041497365,0.0033180078,0.0028739981,0.0003041369,0.000030939078,0.00006758379,0.000017601002,0.0016619],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988461,0.00000892195,0.000511125,0.00039859526,0.00007514002,0.00016009141],"domain_scores_gemma":[0.99924505,0.000018672312,0.00036133773,0.0001711853,0.00008956402,0.000114187445],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030545262,0.0001620057,0.00025601758,0.00026835644,0.00006950379,0.00016578341,0.00021917479,0.00009914741,0.0018451584],"category_scores_gemma":[0.000074921336,0.00016935197,0.00011691824,0.000096518066,0.00006381191,0.0005384361,0.00007339134,0.00014230936,0.00009891924],"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":[0.000049049326,0.000059018796,0.49954993,0.000015483529,0.00028331153,0.0000042591278,0.0027267504,0.0000042353577,0.000031157204,0.47446546,0.02135212,0.001459232],"study_design_scores_gemma":[0.000740872,0.00006757898,0.3598551,0.000021347958,0.000013300699,0.000027137208,0.00052571524,0.01731574,0.0001073804,0.44783115,0.17295742,0.00053729356],"about_ca_topic_score_codex":0.00018317295,"about_ca_topic_score_gemma":0.00003084608,"teacher_disagreement_score":0.15772043,"about_ca_system_score_codex":0.0001215357,"about_ca_system_score_gemma":0.000029943038,"threshold_uncertainty_score":0.9990673},"labels":[],"label_agreement":null},{"id":"W3121520148","doi":"","title":"Immigration and Location Choices of Native-Born Workers in Canada","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Destinations; Census; Productivity; Demographic economics; Competition (biology); Population; Economics; Affect (linguistics); Geography; Econometrics; Economic growth; Tourism; Demography; Sociology","score_opus":0.02751407798165515,"score_gpt":0.2593402082431659,"score_spread":0.23182613026151075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121520148","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":[0.9753069,0.00086814316,0.00004371052,0.00094578404,0.00023182407,0.00039999987,0.000113330585,0.000004443921,0.022085842],"genre_scores_gemma":[0.9894581,0.009638651,0.00015787625,0.00005436891,0.00008138609,0.00010109279,0.000088367546,0.00003112849,0.00038903943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971945,0.000086666754,0.0013666876,0.0008562353,0.00007154203,0.0004243236],"domain_scores_gemma":[0.99812365,0.00035565993,0.0007570871,0.0005317498,0.000115236995,0.00011661479],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017239422,0.0002468711,0.00092571875,0.0009368753,0.00006177841,0.0000777546,0.00042669117,0.00025243967,0.0000484744],"category_scores_gemma":[0.00030263243,0.00031379957,0.000095331474,0.00028781118,0.00016502236,0.00012618503,0.0003307339,0.0007028858,0.000004124436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057929316,0.00006819724,0.8541401,0.00024154485,0.00013859812,0.0000033578503,0.0002483444,0.09913877,0.00000343633,0.01205059,0.000047096535,0.03386201],"study_design_scores_gemma":[0.0008059362,0.00006202494,0.5596701,0.0002797583,0.00000769102,0.0000013583752,0.0010344235,0.4062192,0.000033561126,0.020884337,0.0103268735,0.00067474914],"about_ca_topic_score_codex":0.8622698,"about_ca_topic_score_gemma":0.9593948,"teacher_disagreement_score":0.30708045,"about_ca_system_score_codex":0.0020126614,"about_ca_system_score_gemma":0.0011633177,"threshold_uncertainty_score":0.9999314},"labels":[],"label_agreement":null},{"id":"W3121521993","doi":"","title":"Trade, Market Size, and Industrial Structure: Revisiting the Home-market Effect","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Market structure; Market size; Homogeneous; Industrialisation; Factor market; Economics; Industrial organization; Home market; Market analysis; Production (economics); Business; Market economy; International economics; Microeconomics; Marketing","score_opus":0.009276499765551668,"score_gpt":0.19172891112085755,"score_spread":0.18245241135530588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121521993","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":[0.9365469,0.018869169,0.00062360073,0.031620987,0.00036126535,0.0002696,0.00005780099,0.000021548485,0.011629107],"genre_scores_gemma":[0.9871559,0.008364041,0.00004350969,0.00033020743,0.002300778,0.0000039610927,0.0000023642767,0.000025806,0.0017733998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99767584,0.00008816905,0.00065845967,0.00032270898,0.000059330967,0.0011954969],"domain_scores_gemma":[0.99884635,0.00031984344,0.0005128115,0.00020686134,0.000012865101,0.00010128072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034329547,0.00021472549,0.0004852512,0.00013351864,0.0003832018,0.00023695434,0.00032952533,0.00013509496,0.00076176523],"category_scores_gemma":[0.00022551467,0.00016878189,0.0002418829,0.00019871538,0.00007027358,0.00025424277,0.00004939431,0.0014903133,0.00001705787],"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":[0.00038084143,0.00003570363,0.08102753,0.000018963487,0.001553896,0.0000052980313,0.00021178248,0.00032520056,0.000025016052,0.60342264,0.005649085,0.30734402],"study_design_scores_gemma":[0.0046574497,0.0005692794,0.045588985,0.000047365036,0.0001799784,0.00081543846,0.00035779324,0.016822936,0.000026832844,0.6391566,0.29069448,0.0010828484],"about_ca_topic_score_codex":0.00011496142,"about_ca_topic_score_gemma":0.00032263147,"teacher_disagreement_score":0.30626118,"about_ca_system_score_codex":0.00047863726,"about_ca_system_score_gemma":0.00017172362,"threshold_uncertainty_score":0.8340795},"labels":[],"label_agreement":null},{"id":"W3121584739","doi":"","title":"Uneven landscapes and city size distributions","year":2013,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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 British Columbia","funders":"","keywords":"Zipf's law; Log-normal distribution; Econometrics; Distribution (mathematics); Statistical physics; Product (mathematics); Geography; Mathematics; Statistics; Physics","score_opus":0.02775235422445629,"score_gpt":0.2548860033548465,"score_spread":0.22713364913039022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121584739","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":[0.90065706,0.0002736354,0.000026546879,0.0035967783,0.00009439174,0.00027903306,0.00013343508,0.000018504337,0.09492061],"genre_scores_gemma":[0.9919499,0.0046942127,0.00032298896,0.000116266754,0.00009529131,0.00012222104,0.000028174189,0.000021559728,0.0026493403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813795,0.00003413743,0.00065809034,0.0005937552,0.000035652483,0.00054042414],"domain_scores_gemma":[0.9987812,0.00039750163,0.00015982833,0.00040144243,0.00004900222,0.00021103703],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008424712,0.00016405643,0.0004647498,0.00028412085,0.0002141,0.00020987513,0.00028779038,0.00013970817,0.0010747437],"category_scores_gemma":[0.00037844773,0.00018645465,0.00013003474,0.00019227159,0.00018138712,0.00029272944,0.00018658729,0.00032530207,0.00019565948],"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":[0.000033937038,0.0003069893,0.6424499,0.00004003878,0.00025278138,0.0000094054485,0.000294195,0.0007510592,0.00006772748,0.28535756,0.0007955242,0.069640875],"study_design_scores_gemma":[0.001168853,0.00012374307,0.5999072,0.00002452309,0.0000062986423,0.00001222258,0.0003670182,0.04817369,0.00003863455,0.20215745,0.14731453,0.00070581184],"about_ca_topic_score_codex":0.0016758116,"about_ca_topic_score_gemma":0.0009264775,"teacher_disagreement_score":0.14651902,"about_ca_system_score_codex":0.0002562997,"about_ca_system_score_gemma":0.00004169592,"threshold_uncertainty_score":0.9998384},"labels":[],"label_agreement":null},{"id":"W3121637739","doi":"","title":"Urban Economies and Productivity","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Economies of agglomeration; Productivity; Economic geography; Pooling; Competition (biology); Economies of scale; Division of labour; Economics; Returns to scale; Business; Production (economics); Microeconomics; Economic growth; Market economy","score_opus":0.0500869203097376,"score_gpt":0.2829961251390655,"score_spread":0.23290920482932792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121637739","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":[0.76232785,0.00243211,0.000027940096,0.002257732,0.00071192026,0.00078405236,0.0003061437,0.000045105764,0.23110715],"genre_scores_gemma":[0.9727535,0.020039022,0.00058577163,0.00015399986,0.0007228851,0.00017546842,0.00009170997,0.0001054063,0.0053722016],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99498904,0.00008182245,0.0016626887,0.0021301445,0.000070384755,0.0010659449],"domain_scores_gemma":[0.9971568,0.00036647866,0.0007140394,0.0013479879,0.000081588485,0.00033310018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004581856,0.0005206709,0.0015096095,0.0017577676,0.00024339969,0.00040423207,0.0007837238,0.0006891123,0.00019842577],"category_scores_gemma":[0.0004097207,0.0006703782,0.0003725924,0.00019909676,0.00063249044,0.00026470475,0.0014642692,0.0017711152,0.00009785281],"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":[0.0002784922,0.00072051585,0.5056758,0.00061055,0.0010883859,0.00007236931,0.0014528728,0.008699652,0.000016304191,0.31190217,0.0011353436,0.16834757],"study_design_scores_gemma":[0.0017128297,0.00024708948,0.16155824,0.00020756,0.00003083288,0.000028980305,0.0005293156,0.05726457,0.00009375845,0.27835864,0.49714294,0.0028252322],"about_ca_topic_score_codex":0.0014668754,"about_ca_topic_score_gemma":0.002157043,"teacher_disagreement_score":0.49600762,"about_ca_system_score_codex":0.0011375918,"about_ca_system_score_gemma":0.00021284184,"threshold_uncertainty_score":0.9995747},"labels":[],"label_agreement":null},{"id":"W3121748452","doi":"","title":"Innovation Capabilities: Comparing Science and Engineering Employment in Canadian and U.S. Cities","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Human capital; Science and engineering; Perspective (graphical); Regional science; Capital (architecture); Human resources; Demographic economics; Geography; Economics; Economic geography; Economic growth; Engineering; Management; Computer science","score_opus":0.040829699948296654,"score_gpt":0.25961150151645984,"score_spread":0.21878180156816318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121748452","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":[0.9630797,0.0005541301,0.0000032470211,0.00070606964,0.00016810301,0.00033968472,0.0000921802,0.000009795116,0.03504708],"genre_scores_gemma":[0.99546903,0.0036600945,0.00026511183,0.000056050147,0.0000737034,0.00011176039,0.000035647234,0.00003089822,0.00029767986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99703825,0.000018968924,0.0010643268,0.0009827011,0.000074477335,0.0008213012],"domain_scores_gemma":[0.99891037,0.00012950036,0.00021926177,0.00042980156,0.00010670219,0.00020438095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0035767243,0.00024875582,0.00069912383,0.0033540102,0.00016694312,0.00044058633,0.00037957446,0.00021906121,0.000013005627],"category_scores_gemma":[0.00041277075,0.0003402192,0.0000475086,0.00042018204,0.0005063421,0.00022299883,0.0005488859,0.00073136995,0.0000023530038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012710509,0.000047229703,0.7268538,0.00021105465,0.000053822932,0.000011176854,0.0008563017,0.05193684,0.000012100223,0.21098535,0.000029325658,0.0089902915],"study_design_scores_gemma":[0.0005185899,0.000040552644,0.49282196,0.0001553508,0.0000031555305,0.0000042496436,0.00033477563,0.4576488,0.000011073583,0.023899036,0.02381376,0.00074867543],"about_ca_topic_score_codex":0.4883062,"about_ca_topic_score_gemma":0.40581477,"teacher_disagreement_score":0.40571198,"about_ca_system_score_codex":0.003265361,"about_ca_system_score_gemma":0.00059965573,"threshold_uncertainty_score":0.999905},"labels":[],"label_agreement":null},{"id":"W3121764353","doi":"","title":"Stylized Facts in the Geography of Innovation","year":2010,"lang":"en","type":"article","venue":"Handbook of the economics of innovation","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylized fact; Marketing buzz; Economic geography; Diversity (politics); Urbanization; Innovation process; Process (computing); Economies of agglomeration; Geography; Economics; Business; Sociology; Economic growth; Computer science","score_opus":0.024396971965075467,"score_gpt":0.21117185480398817,"score_spread":0.1867748828389127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121764353","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":[0.99326354,0.000096863805,0.00063554134,0.0011902457,0.00027328217,0.00023070931,0.00008174537,0.0000027564297,0.004225304],"genre_scores_gemma":[0.99870116,0.00014291916,0.0008077242,0.00021932913,0.00004205469,0.000012929863,0.000034054083,0.000010724559,0.000029128243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99768484,0.000015190457,0.00194196,0.00019862459,0.000033928176,0.0001254486],"domain_scores_gemma":[0.99671775,0.000086231346,0.0024531286,0.00049341144,0.00024098392,0.000008469439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015529271,0.00011726643,0.00043807126,0.00088347413,0.000047034293,0.000019812553,0.0005187009,0.000109032444,0.000065905915],"category_scores_gemma":[0.0002613257,0.00009683968,0.00012611295,0.001355357,0.00017378609,0.0001944556,0.000059599042,0.00018163396,0.000005659302],"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":[0.000032102875,0.00008934494,0.16882747,0.000025344998,0.0000647099,3.3362134e-8,0.00016818376,0.0006514804,0.0037699067,0.8253056,0.000096353295,0.0009695062],"study_design_scores_gemma":[0.0018764816,0.00013072586,0.3810919,0.00008550858,0.000023775696,0.000002114286,0.00013937672,0.007452417,0.044304978,0.558786,0.005741961,0.00036480778],"about_ca_topic_score_codex":0.00060542737,"about_ca_topic_score_gemma":0.0002609399,"teacher_disagreement_score":0.2665196,"about_ca_system_score_codex":0.000023716239,"about_ca_system_score_gemma":0.000051802246,"threshold_uncertainty_score":0.39490074},"labels":[],"label_agreement":null},{"id":"W3121843048","doi":"","title":"A head-count measure of rank mobility and its directional decomposition","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Measure (data warehouse); Rank (graph theory); Index (typography); Interpretation (philosophy); Axiom; Head (geology); Mathematics; Population; Characterization (materials science); Statistics; Computer science; Data mining; Medicine; Combinatorics; Physics; Geometry","score_opus":0.06313116974427797,"score_gpt":0.3250139711316113,"score_spread":0.26188280138733333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121843048","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":[0.9068043,0.002418525,0.000032657572,0.0017005135,0.0005029624,0.0007193151,0.0007885814,0.000018369177,0.08701476],"genre_scores_gemma":[0.97975004,0.018784752,0.00024287362,0.000048428457,0.00020937287,0.00017609303,0.00009810516,0.00004478046,0.0006455407],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966009,0.000094113595,0.0013868486,0.0012986251,0.00010298283,0.00051648414],"domain_scores_gemma":[0.99732924,0.00025311136,0.0009623692,0.001045634,0.00021172246,0.00019789842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033933828,0.0003394514,0.0012959521,0.00081769127,0.00028404823,0.00023640606,0.000688614,0.00052167627,0.00019565866],"category_scores_gemma":[0.00049841503,0.0004249145,0.0004076826,0.00008372562,0.00033724494,0.00024228457,0.00074327335,0.0010021237,0.000023405886],"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":[0.002283795,0.0038734414,0.46636683,0.0034694672,0.0046866075,0.000077199984,0.0022234642,0.07277971,0.0007329292,0.25671172,0.0004769544,0.1863179],"study_design_scores_gemma":[0.0033554214,0.00035852887,0.34362456,0.0007576528,0.000060922714,0.000031342857,0.00014339776,0.38105223,0.00043871367,0.22544894,0.042571273,0.002157024],"about_ca_topic_score_codex":0.0013967459,"about_ca_topic_score_gemma":0.0018660749,"teacher_disagreement_score":0.30827254,"about_ca_system_score_codex":0.0008104737,"about_ca_system_score_gemma":0.00025178623,"threshold_uncertainty_score":0.9998203},"labels":[],"label_agreement":null},{"id":"W3121885991","doi":"","title":"The Empirics of Agglomeration and Trade","year":2003,"lang":"en","type":"preprint","venue":"SPIRE (Sciences Po)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economies of agglomeration; Rubric; Economic geography; Economics; New trade theory; Scale (ratio); Economies of scale; Empirical research; International trade; Microeconomics; Trade barrier; Geography; Sociology; Mathematics","score_opus":0.05662312080430996,"score_gpt":0.25187715381208886,"score_spread":0.1952540330077789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121885991","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":[0.885111,0.022418218,0.0022137652,0.026241884,0.0016422644,0.00040247617,0.00021001928,0.000020000662,0.061740376],"genre_scores_gemma":[0.9932161,0.0054449104,0.0004278862,0.0003372004,0.000073414056,0.000012819572,0.000008294418,0.00000888798,0.00047051124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986116,0.000017798102,0.0006568706,0.00046712198,0.000053371514,0.00019319926],"domain_scores_gemma":[0.9988684,0.00006817543,0.0007129462,0.00028054754,0.000017597025,0.000052357052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096750836,0.0001512948,0.00040013072,0.00014996776,0.00030753974,0.00020914424,0.00037711675,0.00013188415,0.000037970065],"category_scores_gemma":[0.00007737467,0.00012399317,0.00016980703,0.00020277359,0.00045768562,0.000090116315,0.00013965812,0.0001655029,0.000014734383],"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":[0.00000578616,0.000046104567,0.0437124,0.000058081678,0.00010943195,8.978964e-7,0.00042059802,0.0026027062,0.000008159075,0.94208306,0.0014993099,0.009453439],"study_design_scores_gemma":[0.0003011267,0.00019137083,0.057357732,0.000048545866,0.000039305854,0.0000052899236,0.00024379324,0.04327925,0.000114481336,0.7508042,0.146902,0.00071294437],"about_ca_topic_score_codex":0.00079200225,"about_ca_topic_score_gemma":0.0002832628,"teacher_disagreement_score":0.19127892,"about_ca_system_score_codex":0.00004045297,"about_ca_system_score_gemma":0.00007012394,"threshold_uncertainty_score":0.5056295},"labels":[],"label_agreement":null},{"id":"W3121892213","doi":"","title":"Industry Location and Wages: The Role of Market Size and Accessibility in Trading Networks","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Distribution (mathematics); Market size; Economics; Wage; General equilibrium theory; Economic geography; Market share; Labour economics; Econometrics; Microeconomics; International economics","score_opus":0.044364380219867355,"score_gpt":0.28561998763055696,"score_spread":0.2412556074106896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121892213","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":[0.94897044,0.0035628988,0.000010241127,0.00096570584,0.00010998333,0.00048247923,0.0000668047,0.000005900044,0.045825526],"genre_scores_gemma":[0.98326784,0.01603459,0.00008363632,0.000057706457,0.000102766826,0.00008849631,0.000012610591,0.000028253364,0.00032408736],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731076,0.00014203813,0.0011832283,0.0008949049,0.0000516204,0.00041747963],"domain_scores_gemma":[0.99764127,0.00090015,0.00055138575,0.00069328985,0.00006944135,0.00014449643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053704167,0.0002380933,0.0008291993,0.0004321405,0.00008555977,0.00018122334,0.0005133331,0.00086631905,0.000082387385],"category_scores_gemma":[0.0008600547,0.0002432581,0.00009782499,0.00018827488,0.00041169106,0.00016711655,0.0007653594,0.002120492,8.805687e-7],"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":[0.0001495804,0.00015474211,0.89200413,0.00019130649,0.00017887555,0.0000037963434,0.0009918907,0.022314334,0.000002826507,0.011622267,0.00006624431,0.072319984],"study_design_scores_gemma":[0.00044696336,0.000035204204,0.326339,0.000106857326,0.000006518599,0.0000024112771,0.00091410126,0.5630747,0.000004019187,0.10660971,0.0021673683,0.00029308948],"about_ca_topic_score_codex":0.0018075379,"about_ca_topic_score_gemma":0.001748019,"teacher_disagreement_score":0.5656651,"about_ca_system_score_codex":0.0005206714,"about_ca_system_score_gemma":0.00018095771,"threshold_uncertainty_score":0.9919777},"labels":[],"label_agreement":null},{"id":"W3122078741","doi":"","title":"Productive Cities: Sorting, Selection and Agglomeration","year":2010,"lang":"en","type":"preprint","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université du Québec à Montréal","funders":"","keywords":"Economies of agglomeration; Zipf's law; Sorting; sort; Economic geography; Selection (genetic algorithm); Replicate; Per capita; Economics; Economy; Microeconomics; Population; Computer science","score_opus":0.025750376690974,"score_gpt":0.19915810370722645,"score_spread":0.17340772701625246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122078741","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":[0.98156697,0.0005936576,0.006805321,0.0024570953,0.00035181036,0.00029510682,0.0002604103,0.00004072914,0.007628924],"genre_scores_gemma":[0.9927802,0.0006290255,0.004735235,0.000029995124,0.00010877075,0.0000016285019,0.000107794345,0.000022452017,0.0015849173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985543,0.000033373974,0.00041190162,0.00073462026,0.00005767884,0.0002081351],"domain_scores_gemma":[0.99820435,0.000033198427,0.0010810605,0.00041193317,0.00015875201,0.00011067646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060336955,0.0002277778,0.0007010533,0.0005872896,0.00037358774,0.0001745929,0.0003947402,0.00041958012,0.00040592035],"category_scores_gemma":[0.00009669115,0.0003468122,0.00025762565,0.00019917428,0.00017573335,0.000622864,0.0004919721,0.0010565344,0.00007204095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020456371,0.000467499,0.22695567,0.0005031646,0.0016734727,0.00001605065,0.007667221,0.002432051,0.0015559443,0.74874866,0.001944091,0.0078316005],"study_design_scores_gemma":[0.0019076092,0.00034969853,0.23853771,0.00019078101,0.00037605315,0.000024823652,0.0028038125,0.069165125,0.00022592989,0.62126404,0.06286278,0.0022916477],"about_ca_topic_score_codex":0.0068282275,"about_ca_topic_score_gemma":0.0071226945,"teacher_disagreement_score":0.12748465,"about_ca_system_score_codex":0.000118789874,"about_ca_system_score_gemma":0.000072934025,"threshold_uncertainty_score":0.9998984},"labels":[],"label_agreement":null},{"id":"W3122098230","doi":"","title":"After the War Boom: Reconversion on the U.S. Pacific Coast, 1943-49","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Boom; Demobilization; Shock (circulatory); World War II; Economics; Quarter (Canadian coin); Economy; Geography; Political science; Engineering; Politics","score_opus":0.04499560824360898,"score_gpt":0.2552407429737247,"score_spread":0.2102451347301157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122098230","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":[0.56950206,0.0021013666,0.000013604315,0.024970388,0.0024808887,0.0017875565,0.0006549081,0.000041956675,0.39844728],"genre_scores_gemma":[0.9431888,0.042848535,0.00006348187,0.0013240834,0.00039377747,0.00067559374,0.00007834324,0.00011649888,0.011310908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952702,0.00031644985,0.001545784,0.0016568645,0.00014468472,0.0010660124],"domain_scores_gemma":[0.9955712,0.00097072124,0.000737258,0.0024098149,0.00009096914,0.00022002627],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004925749,0.0005748033,0.0010856495,0.00073315995,0.00053013867,0.00038036812,0.0016335426,0.00060982583,0.0013849599],"category_scores_gemma":[0.0004049791,0.00045223956,0.00079881214,0.00028732463,0.000597,0.00013481002,0.00095325214,0.0026267855,0.00094346976],"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":[0.0034786456,0.0031273412,0.26007593,0.0009067993,0.0058526434,0.00036286868,0.008634646,0.075302705,0.000029203129,0.38601896,0.08523023,0.17098005],"study_design_scores_gemma":[0.00080265675,0.00018744127,0.013185567,0.00018459125,0.00002637556,0.000012922036,0.0015699104,0.02544835,0.00002602243,0.0982374,0.8590382,0.0012806039],"about_ca_topic_score_codex":0.0007786052,"about_ca_topic_score_gemma":0.0009761328,"teacher_disagreement_score":0.77380794,"about_ca_system_score_codex":0.001215095,"about_ca_system_score_gemma":0.00023609008,"threshold_uncertainty_score":0.9998344},"labels":[],"label_agreement":null},{"id":"W3122272286","doi":"","title":"Spatial Wage Disparities: Sorting Matters!","year":2004,"lang":"en","type":"preprint","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Economics; Wage; Sorting; Workforce; Labour economics; Instrumental variable; Spatial mismatch; Causality (physics); Demographic economics; Econometrics; Microeconomics; Economic growth","score_opus":0.03043272665122306,"score_gpt":0.19616505164290057,"score_spread":0.1657323249916775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122272286","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":[0.84009844,0.002049389,0.09722517,0.02533989,0.001315995,0.0007012179,0.0026485552,0.000161044,0.030460302],"genre_scores_gemma":[0.9946684,0.0005222662,0.0028683823,0.00028193073,0.000107199456,0.0000015703538,0.0002534314,0.00004819426,0.0012485832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977032,0.00004148147,0.00077039347,0.00093220855,0.00010554569,0.00044720084],"domain_scores_gemma":[0.99714845,0.00005881012,0.0015125065,0.0009661091,0.00010064245,0.00021347344],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006175167,0.00038888134,0.0012751209,0.00070955505,0.00039481814,0.00024214639,0.0013559277,0.00048640967,0.0012910143],"category_scores_gemma":[0.000055466557,0.0006037548,0.00089812325,0.00021778404,0.00026472125,0.00059584127,0.0013853452,0.001120887,0.0006291616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002528244,0.0009889379,0.19196945,0.0010051278,0.0028657028,0.000265077,0.004087277,0.015594176,0.0001737915,0.77391213,0.0053115706,0.003573943],"study_design_scores_gemma":[0.0035961207,0.0002412688,0.22378658,0.00067695254,0.00044859186,0.000016758919,0.0018232324,0.023152484,0.000041940024,0.6888093,0.05410845,0.0032983634],"about_ca_topic_score_codex":0.06521115,"about_ca_topic_score_gemma":0.0077973297,"teacher_disagreement_score":0.15457,"about_ca_system_score_codex":0.00042172452,"about_ca_system_score_gemma":0.00013885488,"threshold_uncertainty_score":0.99964136},"labels":[],"label_agreement":null},{"id":"W3122345833","doi":"","title":"‘Good’ Firms, Worker Flows and Local Productivity","year":2015,"lang":"en","type":"preprint","venue":"Open Access at Essex (University of Essex)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Productivity; Unobservable; Economies of agglomeration; Labour economics; Earnings; Business; Identification (biology); Instrumental variable; Economics; Industrial organization; Microeconomics; Finance; Economic growth","score_opus":0.07945082788988089,"score_gpt":0.26585075491038557,"score_spread":0.18639992702050467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122345833","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":[0.91488767,0.0023522028,0.008409203,0.007391592,0.00057855906,0.00087633537,0.0007634509,0.000030196428,0.06471082],"genre_scores_gemma":[0.9865738,0.0013956124,0.0007892198,0.00005599717,0.00009519215,0.000004471579,0.00021241525,0.000035283436,0.0108379945],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977761,0.000043573065,0.00048300144,0.0012978007,0.000083786625,0.0003157248],"domain_scores_gemma":[0.9974389,0.000051480936,0.0011513956,0.0009515879,0.00016194707,0.00024470323],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009077456,0.0003523326,0.0013831945,0.00035563446,0.00029407846,0.0005717128,0.0028507083,0.00036694139,0.0013154141],"category_scores_gemma":[0.000037742255,0.0004670453,0.0002398923,0.0002955351,0.00029396918,0.0013849674,0.01135859,0.0003570502,0.00013296906],"study_design_candidate":"theoretical_or_conceptual","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":[0.0017232072,0.002011311,0.47752208,0.0018720818,0.0051965513,0.00024478388,0.0040789563,0.062125824,0.000037206515,0.30711824,0.10233341,0.035736367],"study_design_scores_gemma":[0.0033733072,0.00016708941,0.10052347,0.0003750974,0.00039394756,0.000016159462,0.0011266879,0.12964335,0.00006613019,0.30375004,0.45750546,0.0030592692],"about_ca_topic_score_codex":0.027537273,"about_ca_topic_score_gemma":0.014627187,"teacher_disagreement_score":0.3769986,"about_ca_system_score_codex":0.0003522088,"about_ca_system_score_gemma":0.00016585765,"threshold_uncertainty_score":0.99977815},"labels":[],"label_agreement":null},{"id":"W3122432673","doi":"10.2139/ssrn.3144383","title":"Manufacturing (Co)agglomeration in a Transition Country: Evidence from Russia","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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 du Québec à Montréal","funders":"","keywords":"Economies of agglomeration; Economic geography; Business; International trade; Transition countries; Transition (genetics); Economics; International economics; Economic growth; Chemistry","score_opus":0.019564380734383522,"score_gpt":0.22401196904333473,"score_spread":0.2044475883089512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122432673","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":[0.9648286,0.0027896573,0.028430087,0.0024616055,0.00016970141,0.00007284121,0.000021920616,0.000010311942,0.0012152407],"genre_scores_gemma":[0.9912067,0.007650471,0.00010093939,0.00022043324,0.0006214437,0.0000049713462,0.000019207853,0.000015225061,0.00016063258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998197,0.000023192822,0.00057303905,0.0002971294,0.000047097605,0.0008625338],"domain_scores_gemma":[0.9994447,0.00003433308,0.00029824898,0.00014590936,0.000020316045,0.000056466964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012030571,0.00012889416,0.0002877477,0.00026963616,0.00016286765,0.00013032916,0.00019598723,0.000085360945,0.00028693103],"category_scores_gemma":[0.000027749076,0.00014104838,0.00011368204,0.00013723764,0.00004429907,0.00054525345,0.000010210478,0.00059070793,0.00031033182],"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":[0.00041296388,0.00021759802,0.058022127,0.000013589321,0.0006891034,0.000014588142,0.002608576,0.0025272367,0.0006285932,0.91766953,0.0002648351,0.016931267],"study_design_scores_gemma":[0.00078413496,0.00025839196,0.02516823,0.00005946053,0.000017962317,0.000035088127,0.00032704114,0.01733076,0.00050514814,0.9514043,0.0037446315,0.0003648676],"about_ca_topic_score_codex":0.0052859187,"about_ca_topic_score_gemma":0.015063857,"teacher_disagreement_score":0.03373476,"about_ca_system_score_codex":0.0009842475,"about_ca_system_score_gemma":0.00021361491,"threshold_uncertainty_score":0.8405986},"labels":[],"label_agreement":null},{"id":"W3122534370","doi":"","title":"Is the Division of Labour Limited By the Extent of the Market? Evidence from French Cities","year":2005,"lang":"en","type":"preprint","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Census; Division of labour; Division (mathematics); Empirical evidence; Economics; Economic geography; Labour economics; Market economy; Sociology; Population; Demography","score_opus":0.039998997869043006,"score_gpt":0.20578402215636207,"score_spread":0.16578502428731906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122534370","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":[0.96521133,0.008311437,0.0014197702,0.018170457,0.0002587607,0.0003440212,0.0036592805,0.0000084241565,0.0026165072],"genre_scores_gemma":[0.99022907,0.0047415253,0.00044091602,0.0001664311,0.000039519604,0.0000014906644,0.000027705806,0.00001692854,0.004336431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982129,0.00016731724,0.00068643544,0.0005334037,0.00018320777,0.00021676996],"domain_scores_gemma":[0.9955478,0.00052258477,0.0020046965,0.0016598109,0.00020269841,0.00006244862],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010147844,0.00026034322,0.00082256336,0.0002083202,0.00040830727,0.00010155869,0.003032297,0.00026888252,0.0016775437],"category_scores_gemma":[0.00017837698,0.00020492564,0.0008882613,0.0003668747,0.00057680183,0.00038310865,0.0019837092,0.0008330513,0.000029201916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031388432,0.0009422124,0.8093864,0.00055634824,0.004778004,0.000005643634,0.021230903,0.0044185645,0.0014347079,0.066115625,0.08061532,0.010202441],"study_design_scores_gemma":[0.0004284793,0.000059157042,0.92191994,0.0004272705,0.00020329935,7.256557e-7,0.0016306884,0.009093836,0.00018007967,0.036759667,0.028905327,0.00039150525],"about_ca_topic_score_codex":0.047756657,"about_ca_topic_score_gemma":0.004821148,"teacher_disagreement_score":0.11253362,"about_ca_system_score_codex":0.00012223823,"about_ca_system_score_gemma":0.00008538242,"threshold_uncertainty_score":0.99923503},"labels":[],"label_agreement":null},{"id":"W3122621678","doi":"","title":"Agglomeration Spillovers and Wage and Housing Cost Gradients across the Urban Hierarchy","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Urban hierarchy; Hierarchy; Economies of agglomeration; Earnings; Economic geography; Economics; Wage; Urban economics; Market size; Geography; Labour economics; Microeconomics; Market economy; Sociology; Population; Finance","score_opus":0.04550098720258428,"score_gpt":0.2845606368396206,"score_spread":0.2390596496370363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122621678","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":[0.97722036,0.0016225041,0.000022064823,0.0016861907,0.00034636716,0.00076364994,0.00035717292,0.000017676917,0.017964015],"genre_scores_gemma":[0.8977319,0.10062818,0.00015041193,0.00021924576,0.00023379982,0.00012463439,0.00008794576,0.000059584432,0.0007643073],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99670017,0.00009332744,0.0010546225,0.0012722443,0.00008048869,0.0007991477],"domain_scores_gemma":[0.99809194,0.00030642815,0.00051253237,0.0008002618,0.000057527315,0.0002313267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019460603,0.00037547204,0.0008650771,0.0005090242,0.0006517337,0.000551437,0.0005094313,0.000381811,0.00002509034],"category_scores_gemma":[0.0002333951,0.00038613778,0.00021643197,0.00017340896,0.00084595935,0.00022777238,0.0010983242,0.0012071935,0.000018431394],"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":[0.00030339946,0.00040489392,0.57963794,0.000325493,0.0011776517,0.00011055681,0.010180122,0.027453244,0.00002211574,0.06394367,0.0007979449,0.31564298],"study_design_scores_gemma":[0.0036103963,0.00030557645,0.26362458,0.00030968265,0.000039409337,0.00007694752,0.0022772031,0.34632042,0.00003906305,0.059020884,0.32160482,0.0027710134],"about_ca_topic_score_codex":0.0016691511,"about_ca_topic_score_gemma":0.0016930597,"teacher_disagreement_score":0.32080686,"about_ca_system_score_codex":0.0006882727,"about_ca_system_score_gemma":0.0001019671,"threshold_uncertainty_score":0.99985904},"labels":[],"label_agreement":null},{"id":"W3122714141","doi":"10.1016/j.regsciurbeco.2012.11.003","title":"Sorting and local wages and skill distributions in France","year":2012,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":62,"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":"Seventh Framework Programme","keywords":"Wage; Sorting; Demographic economics; Distribution (mathematics); Selection (genetic algorithm); Positive selection; Representation (politics); Economics; Labour economics; Economic geography; Geography; Political science; Mathematics; Biology; Computer science","score_opus":0.012562724485327146,"score_gpt":0.19770642717628478,"score_spread":0.18514370269095765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122714141","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":[0.86511195,0.0052144146,0.10569187,0.008447259,0.000042978263,0.00008014852,0.0000437609,0.000019102743,0.015348504],"genre_scores_gemma":[0.9952224,0.001026467,0.0026457803,0.00005877782,0.000010776202,0.000010730714,0.000035635607,0.000008221583,0.0009812047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990514,0.00014428711,0.00034060428,0.00023871257,0.000022996637,0.00020202262],"domain_scores_gemma":[0.99910176,0.00026284286,0.00018797333,0.00026996143,0.000075188094,0.000102265476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001896486,0.00008848285,0.00020153068,0.000101358375,0.00015264339,0.0000850775,0.00012565151,0.000056605917,0.00005146529],"category_scores_gemma":[0.0003029382,0.00010324704,0.000045657667,0.00016886668,0.00013923548,0.00020530088,0.00011608686,0.00010346918,0.000023282704],"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":[6.6439566e-7,0.00007727245,0.31100273,0.000008382452,0.000011657888,2.3198993e-7,0.0011376997,0.000009146057,0.00002181037,0.6788498,0.00003018227,0.008850369],"study_design_scores_gemma":[0.0007112538,5.1487217e-7,0.84556836,0.00015381299,0.000012145711,0.00000918752,0.00026000876,0.05796728,0.0013420942,0.060869288,0.03265202,0.0004540218],"about_ca_topic_score_codex":0.0020773993,"about_ca_topic_score_gemma":0.0009894753,"teacher_disagreement_score":0.61798054,"about_ca_system_score_codex":0.000034604738,"about_ca_system_score_gemma":0.0000086658365,"threshold_uncertainty_score":0.4210292},"labels":[],"label_agreement":null},{"id":"W3122721392","doi":"","title":"Geographic Cluster Size and Firm Performance","year":2006,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Diseconomies of scale; Economies of agglomeration; Business; Cluster (spacecraft); Alliance; Industrial organization; Economic geography; Equity (law); Cluster size; Economics; Marketing; Economies of scale; Microeconomics; Geography","score_opus":0.018544585912700178,"score_gpt":0.23313504000596144,"score_spread":0.21459045409326127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122721392","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":[0.86383545,0.0004863114,0.000005262289,0.0011012215,0.000096430565,0.0001857238,0.000031018,0.00001584208,0.13424276],"genre_scores_gemma":[0.987099,0.008204637,0.00028294922,0.0001929968,0.00016647199,0.00006027339,0.000015226216,0.000034641493,0.0039437995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777466,0.00003134959,0.0008112424,0.0007079806,0.000046904494,0.00062787015],"domain_scores_gemma":[0.9988868,0.00030693773,0.00019818288,0.00044699782,0.000035341243,0.00012571424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013239211,0.00019804086,0.0004996118,0.0005701083,0.0002183714,0.00015709712,0.00030479417,0.00016221756,0.00021779638],"category_scores_gemma":[0.00010185268,0.00023345317,0.00015092178,0.00023126826,0.00028774914,0.0002663075,0.00017336778,0.00036023025,0.00008036726],"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":[0.00007098393,0.00016516077,0.90823406,0.000051199233,0.0000812012,0.000007975348,0.00007835146,0.0043399353,0.000023210465,0.06067846,0.00012744973,0.026142038],"study_design_scores_gemma":[0.0012583418,0.00013218007,0.76462203,0.000026669051,0.0000047638896,0.000014154318,0.000078040845,0.08022311,0.00002206526,0.033481028,0.11956467,0.0005729617],"about_ca_topic_score_codex":0.0012641889,"about_ca_topic_score_gemma":0.0010730857,"teacher_disagreement_score":0.14361203,"about_ca_system_score_codex":0.0002098947,"about_ca_system_score_gemma":0.0000343856,"threshold_uncertainty_score":0.9519944},"labels":[],"label_agreement":null},{"id":"W3122868518","doi":"10.1068/a44259","title":"Gas Price Variations and Urban Sprawl: An Empirical Analysis of the Twelve Largest Canadian Metropolitan Areas","year":2012,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Urban sprawl; Metropolitan area; Geography; Population; Population density; Multivariate analysis; Agricultural economics; Economics; Urban planning; Demography; Statistics","score_opus":0.022566144111828654,"score_gpt":0.21303465945107758,"score_spread":0.1904685153392489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122868518","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":[0.9848864,0.0032483758,0.00068315654,0.0027222314,0.000051271734,0.00009887885,0.00014978262,0.0000045872885,0.008155298],"genre_scores_gemma":[0.9986732,0.00034521244,0.0002783289,0.0002902257,0.00006642671,0.000007897235,0.00004021295,0.000009134941,0.00028938317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990666,0.000028055762,0.00031716752,0.00029613252,0.000020438294,0.00027163766],"domain_scores_gemma":[0.99914366,0.00007647649,0.0002299957,0.00022535444,0.0000046207674,0.0003198757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043172107,0.000144276,0.00039978907,0.00031760952,0.00025398788,0.00006659186,0.00009002311,0.00008731598,0.00016857656],"category_scores_gemma":[0.000020841127,0.0001347962,0.00009633297,0.00015855025,0.00011339803,0.00024625484,0.00005246889,0.0001025334,0.0000072739795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034509405,0.000027101747,0.904736,0.000003824969,0.00037923027,3.2210548e-7,0.000976844,0.00022387439,7.4078304e-7,0.093475655,0.00012662889,0.000046328387],"study_design_scores_gemma":[0.00015036446,0.00002720706,0.918508,0.0000033280792,0.0002075677,0.000002129094,0.00048633612,0.019014543,0.0000027947983,0.0018362168,0.059571136,0.00019035846],"about_ca_topic_score_codex":0.018542472,"about_ca_topic_score_gemma":0.003206236,"teacher_disagreement_score":0.091639444,"about_ca_system_score_codex":0.000106383515,"about_ca_system_score_gemma":0.000013823029,"threshold_uncertainty_score":0.9879931},"labels":[],"label_agreement":null},{"id":"W3123043912","doi":"","title":"The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in 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":"University of Saskatchewan","funders":"","keywords":"Geographically Weighted Regression; Regression; Diversity (politics); Geography; Metropolitan area; Spatial heterogeneity; Regression analysis; Econometrics; Economic geography; Statistics; Economics; Ecology; Mathematics; Biology; Political science","score_opus":0.028103690387065665,"score_gpt":0.24964889686689754,"score_spread":0.22154520647983186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123043912","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":[0.83782476,0.0045120413,0.00023048751,0.0018755671,0.00085801695,0.0012351469,0.00093045493,0.000048470592,0.15248503],"genre_scores_gemma":[0.9454483,0.052487902,0.00080028805,0.000043444583,0.00021708108,0.0001367461,0.00024199086,0.00007469069,0.00054956914],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948668,0.00023477947,0.0019733915,0.0014129472,0.00020847385,0.0013035916],"domain_scores_gemma":[0.99560857,0.0006086018,0.00142404,0.0017489867,0.00023286202,0.0003769649],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049427263,0.00055342115,0.001541944,0.0019080454,0.00088736287,0.000216545,0.0022523014,0.00083599595,0.00007890365],"category_scores_gemma":[0.00031512362,0.0005075468,0.0011038986,0.00060295325,0.0013207451,0.00020398156,0.004267,0.00205004,0.000020658017],"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":[0.00015029666,0.00047797302,0.64142513,0.00019733993,0.00076126447,0.0000046539403,0.0002268524,0.00048548242,0.0000015680959,0.34484318,0.00003997621,0.0113862725],"study_design_scores_gemma":[0.0016718688,0.00021311373,0.30896747,0.00024082708,0.000092654074,0.000010523494,0.0011905676,0.22066721,0.000013031508,0.45668665,0.008338731,0.0019073593],"about_ca_topic_score_codex":0.0063123642,"about_ca_topic_score_gemma":0.0017540249,"teacher_disagreement_score":0.33245766,"about_ca_system_score_codex":0.0011985654,"about_ca_system_score_gemma":0.0001500068,"threshold_uncertainty_score":0.9997376},"labels":[],"label_agreement":null},{"id":"W3123071314","doi":"","title":"An Anatomy of the Geographical Concentration of Canadian Manufacturing Industries","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in 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":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Manufacturing; Economic geography; Business; Location; Industrial organization; Geography; Marketing; Geodesy","score_opus":0.03795233505589889,"score_gpt":0.26890443408454917,"score_spread":0.23095209902865027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123071314","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":[0.9723689,0.00022658327,0.000002815271,0.001203939,0.00025344733,0.0005027101,0.00049949076,0.0000051517322,0.02493697],"genre_scores_gemma":[0.99445736,0.0050003733,0.00009053378,0.000054713757,0.000086703956,0.000068284855,0.00007377128,0.000031998883,0.00013626464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99722874,0.000095041556,0.0013602539,0.000694372,0.00007788321,0.00054369157],"domain_scores_gemma":[0.99763685,0.00012704486,0.00079294853,0.0010886035,0.00010322069,0.0002513241],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012263566,0.00024144945,0.00083350454,0.0015545844,0.00012927275,0.00011315586,0.0010774573,0.00056697155,0.00024765235],"category_scores_gemma":[0.00013267709,0.0002474018,0.00031179367,0.0003354319,0.0005536282,0.00016764723,0.0003328001,0.001073059,0.0000063633593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044394103,0.0002769677,0.6272445,0.0002529758,0.00071093696,0.0000031872578,0.0007071902,0.061911255,0.000039462393,0.26504758,0.00013423535,0.04362737],"study_design_scores_gemma":[0.0012870949,0.00033907423,0.68271023,0.00035218045,0.000037492544,0.000004970465,0.0010661894,0.085584015,0.005037881,0.16375105,0.058358762,0.0014710374],"about_ca_topic_score_codex":0.1675978,"about_ca_topic_score_gemma":0.13549878,"teacher_disagreement_score":0.10129651,"about_ca_system_score_codex":0.00049221533,"about_ca_system_score_gemma":0.00055414415,"threshold_uncertainty_score":0.9999978},"labels":[],"label_agreement":null},{"id":"W3123180652","doi":"","title":"Trade and the Geographic Spread of the Great Recession","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Unemployment; Boom; Economics; Recession; Great recession; Bust; Financial crisis; Demand shock; Monetary economics; International economics; Economic geography; Macroeconomics; Labour economics","score_opus":0.03311333651693622,"score_gpt":0.26341408788988585,"score_spread":0.23030075137294964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123180652","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":[0.903061,0.002563626,0.000019924666,0.013668272,0.0006833502,0.0010478075,0.00020079517,0.00001441317,0.07874081],"genre_scores_gemma":[0.9624132,0.03618707,0.00007496415,0.00020669845,0.00016307132,0.00012722024,0.000018322493,0.0000427294,0.0007667125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969035,0.00024900766,0.0013460753,0.00092176284,0.00008672234,0.00049293076],"domain_scores_gemma":[0.99682945,0.0006878369,0.00090958655,0.0014242997,0.000036434747,0.00011240796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004044061,0.00030842793,0.001155784,0.00054713676,0.00025801273,0.00016120814,0.0012316938,0.00041835543,0.00007836343],"category_scores_gemma":[0.00039548078,0.00022341187,0.0005989041,0.00020883151,0.0012972425,0.00007501101,0.0012541831,0.0012860347,0.0000075499556],"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":[0.000577553,0.00027828154,0.3629491,0.0006072633,0.0011385581,0.000004916737,0.0014741629,0.028433276,0.000015012714,0.46088293,0.00034270587,0.14329623],"study_design_scores_gemma":[0.0036872483,0.0001126034,0.21082127,0.0004965209,0.00006214535,0.0000132373125,0.00032947585,0.1996878,0.00005716662,0.4831223,0.1005412,0.0010690506],"about_ca_topic_score_codex":0.00192975,"about_ca_topic_score_gemma":0.0010006627,"teacher_disagreement_score":0.17125452,"about_ca_system_score_codex":0.00020691715,"about_ca_system_score_gemma":0.00009668254,"threshold_uncertainty_score":0.91104716},"labels":[],"label_agreement":null},{"id":"W3123246554","doi":"10.2139/ssrn.3582182","title":"Immigration, Innovation, and Growth","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Dynamism; Immigration; Attractiveness; Demographic economics; Economic geography; Destinations; Variation (astronomy); Geography; Economics; Tourism","score_opus":0.015002594421306928,"score_gpt":0.19024098469844664,"score_spread":0.17523839027713972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123246554","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":[0.7743615,0.0054047625,0.1287979,0.08695058,0.00011558764,0.00009168266,0.000015355328,0.000025024943,0.0042376197],"genre_scores_gemma":[0.99255425,0.005186836,0.00010601584,0.0015138775,0.00027200926,0.000002147898,0.00000755855,0.000011861014,0.00034545962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872464,0.0000071593313,0.0004882821,0.00019919753,0.00002378494,0.0005569595],"domain_scores_gemma":[0.9994994,0.000011081198,0.00029767066,0.000057884685,0.00007144061,0.00006252659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006270043,0.0000894325,0.00021126292,0.00015577151,0.00013759444,0.000086717446,0.00012450368,0.00004278691,0.00006296936],"category_scores_gemma":[0.0000889127,0.000095740514,0.00006323565,0.00036154705,0.000026594576,0.00022761025,0.000021433118,0.00044619432,0.000105691375],"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":[0.000007799306,0.000007830188,0.03335251,0.00000205691,0.00008952382,3.7795448e-7,0.00010620205,0.000016621685,0.000011321892,0.9652962,0.00023545335,0.0008740823],"study_design_scores_gemma":[0.00029185976,0.000103265025,0.00352813,0.0000012724716,0.000006322956,0.00002615588,0.00020285911,0.002940328,0.0000101060195,0.98443466,0.008319016,0.00013601132],"about_ca_topic_score_codex":0.00021637899,"about_ca_topic_score_gemma":0.00016655112,"teacher_disagreement_score":0.21819274,"about_ca_system_score_codex":0.0001438426,"about_ca_system_score_gemma":0.00015741712,"threshold_uncertainty_score":0.39041847},"labels":[],"label_agreement":null},{"id":"W3123329595","doi":"","title":"From Labrador City to Toronto: The Industrial Diversity of Canadian Cities, 1992 to 2002","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Economic geography; Geography; Industrial city; Regional science; Economy; Political science; Industrial zone; Economics","score_opus":0.0899363850313496,"score_gpt":0.2658182880549141,"score_spread":0.1758819030235645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123329595","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":[0.8376307,0.00050998694,0.000012076934,0.007257133,0.001137873,0.0011815198,0.00476107,0.000011776981,0.14749789],"genre_scores_gemma":[0.9866432,0.006397345,0.00042914212,0.00095796585,0.0006348569,0.00014515143,0.00013530761,0.00006270652,0.004594353],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962098,0.00014256994,0.0013148076,0.0012795015,0.00012035539,0.00093297573],"domain_scores_gemma":[0.9968964,0.00034671815,0.00044212476,0.0014813901,0.00009650359,0.00073689234],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025594563,0.00038385426,0.0012134563,0.0012794439,0.00039193445,0.0002086213,0.0017905369,0.0006144435,0.00245202],"category_scores_gemma":[0.0006078675,0.0004290143,0.0004104872,0.000456453,0.00019753366,0.00014287137,0.0020649976,0.0010824716,0.00011785353],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084040797,0.00080506253,0.55931133,0.0001589397,0.0038520717,0.000092831746,0.017023917,0.09902494,0.00001956866,0.09662096,0.07938444,0.14286554],"study_design_scores_gemma":[0.0012561881,0.00023212556,0.07329677,0.00015145255,0.00003706946,0.0000017735698,0.002477356,0.0040911273,0.000035693276,0.028563056,0.88827384,0.001583531],"about_ca_topic_score_codex":0.91127133,"about_ca_topic_score_gemma":0.8765303,"teacher_disagreement_score":0.8088894,"about_ca_system_score_codex":0.0033041274,"about_ca_system_score_gemma":0.00065964763,"threshold_uncertainty_score":0.9998162},"labels":[],"label_agreement":null},{"id":"W3123379227","doi":"10.20381/ruor-25519","title":"Human Capital, Urbanization, and Canadian Provincial Growth","year":2001,"lang":"en","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Human capital; Economics; Conditional convergence; Urbanization; Per capita; Shock (circulatory); Per capita income; Demographic economics; Convergence (economics); Capital (architecture); Geography; Economic growth; Population; Demography","score_opus":0.05496920029286789,"score_gpt":0.23887906845881127,"score_spread":0.18390986816594337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123379227","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":[0.855191,0.0003310706,0.00048677772,0.006812753,0.000109857174,0.00040837668,0.00078506937,0.00001755223,0.13585755],"genre_scores_gemma":[0.98965985,0.00083247205,0.00026102553,0.00003103528,0.000110136905,0.0000010708383,0.00017382098,0.000020767515,0.008909822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99854857,0.000042903215,0.00029584148,0.0006151975,0.00009638467,0.00040110206],"domain_scores_gemma":[0.9986541,0.000029085832,0.00027696305,0.0003685889,0.0003230487,0.00034818708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086178374,0.00015452932,0.0004992578,0.0015241111,0.0005499713,0.00010548521,0.0006542806,0.0003004195,0.0008736065],"category_scores_gemma":[0.00008852858,0.0002333118,0.00015359916,0.00035226773,0.00036333737,0.00016240389,0.0005003565,0.0005131781,0.00012921826],"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":[0.0000011146898,0.000037539663,0.24102803,0.000077712284,0.00012825857,0.00002854623,0.00041162336,0.00007903821,0.0000021022693,0.75275016,0.005329658,0.0001261944],"study_design_scores_gemma":[0.0007686713,0.00017205245,0.42050835,0.000056781108,0.000035760513,0.0000045917645,0.0009002739,0.0054798084,0.0000053626545,0.44695535,0.12434115,0.00077182945],"about_ca_topic_score_codex":0.64975595,"about_ca_topic_score_gemma":0.70624554,"teacher_disagreement_score":0.30579484,"about_ca_system_score_codex":0.0004495082,"about_ca_system_score_gemma":0.00031316874,"threshold_uncertainty_score":0.95653784},"labels":[],"label_agreement":null},{"id":"W3123537006","doi":"","title":"Dwindling U.S. internal migration: Evidence of spatial equilibrium or structural shifts in local labor markets?","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of Saskatchewan","funders":"","keywords":"Economics; Amenity; Urban hierarchy; Redistribution (election); Empirical evidence; Population; Quantile regression; Internal migration; Hierarchy; Economic geography; Urbanization; General equilibrium theory; Demographic economics; Labour economics; Econometrics; Macroeconomics; Market economy; Economic growth; Developing country","score_opus":0.04806319340006711,"score_gpt":0.30603898441677785,"score_spread":0.25797579101671075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123537006","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":[0.9901275,0.00087158993,0.00019734351,0.0017209515,0.0009777511,0.0005836296,0.00028111483,0.000015279036,0.005224858],"genre_scores_gemma":[0.9906532,0.0069605024,0.000891151,0.00008202193,0.00043858791,0.00011383858,0.00006514734,0.00007201369,0.0007235492],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947362,0.00015052746,0.0025918058,0.0015092408,0.00014623228,0.0008660013],"domain_scores_gemma":[0.9965445,0.000789492,0.0011031613,0.0011772275,0.00014975024,0.00023590053],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031613647,0.00047991678,0.0015720719,0.0015723773,0.0000807174,0.00025531047,0.0014400162,0.00082012615,0.0009558595],"category_scores_gemma":[0.0010022372,0.00053151353,0.00044627787,0.00030371113,0.0005551043,0.0003829694,0.0013446233,0.0025217247,0.00003107131],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035914788,0.0004280908,0.6919505,0.0012416393,0.0006646701,0.00018074812,0.0017691905,0.0911732,0.0002662637,0.016465997,0.000046097673,0.19222212],"study_design_scores_gemma":[0.0013288659,0.00024805396,0.25564438,0.0009768405,0.000015238683,0.00001086112,0.00032686853,0.7084427,0.00021327732,0.027756145,0.0038938099,0.0011429604],"about_ca_topic_score_codex":0.012619735,"about_ca_topic_score_gemma":0.05660417,"teacher_disagreement_score":0.6172695,"about_ca_system_score_codex":0.0010423644,"about_ca_system_score_gemma":0.00063524983,"threshold_uncertainty_score":0.9999574},"labels":[],"label_agreement":null},{"id":"W3123547264","doi":"10.1162/rest_a_00619","title":"Roads and Innovation","year":2016,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":332,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Economic geography; Economics; Industrial organization; Regional science; Geography","score_opus":0.040065671564950084,"score_gpt":0.23754346517023622,"score_spread":0.19747779360528614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123547264","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4001508,0.35401905,0.12669633,0.07873833,0.0006710584,0.0012554959,0.005452827,0.000027821869,0.032988295],"genre_scores_gemma":[0.2331312,0.7627697,0.0024601955,0.0010501194,0.0000462089,0.000009773274,0.000014382583,0.000012020128,0.0005064329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898964,0.000009752475,0.0007102319,0.0001834361,0.000008250516,0.00009868736],"domain_scores_gemma":[0.9990882,0.00013523619,0.0005089333,0.00019543016,0.000040555,0.0000315923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065040594,0.00009165882,0.00040488623,0.00010234309,0.000054976772,0.000020423488,0.00009938664,0.000027809723,0.000099659424],"category_scores_gemma":[0.00012743167,0.000060646198,0.00003674951,0.00010145492,0.00013482795,0.000075277,0.000051951018,0.000031519594,0.00002419256],"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":[0.0000021832452,0.000005493226,0.0011224785,0.00018707453,0.00003835352,7.7459156e-8,0.000011894037,0.0000018662217,0.0000015417937,0.9595417,0.00059240207,0.038494945],"study_design_scores_gemma":[0.00033627305,0.00006359627,0.0072972625,0.00040347883,0.000033964643,0.0000071394807,0.000008154365,0.0031956814,0.000010836148,0.75361145,0.23480399,0.00022815517],"about_ca_topic_score_codex":0.00006195488,"about_ca_topic_score_gemma":0.000022234559,"teacher_disagreement_score":0.40875065,"about_ca_system_score_codex":0.000019184798,"about_ca_system_score_gemma":0.000013363203,"threshold_uncertainty_score":0.24730802},"labels":[],"label_agreement":null},{"id":"W3123753988","doi":"","title":"Cities and Growth: Moving to Toronto - Income Gains Associated with Large Metropolitan Labour Markets","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Earnings; Metropolitan area; Productivity; Labour economics; Matching (statistics); Benchmark (surveying); Economics; Position (finance); Earnings growth; Demographic economics; Economic growth; Geography; Finance","score_opus":0.034064638834253244,"score_gpt":0.2773213522592178,"score_spread":0.24325671342496452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123753988","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":[0.89125836,0.0016440867,0.000047247595,0.0009607087,0.0002990088,0.00062078267,0.0011814953,0.000039599436,0.10394871],"genre_scores_gemma":[0.98463297,0.010114437,0.0004837706,0.000292076,0.00028988108,0.0002331587,0.00013111328,0.00012389681,0.003698722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956135,0.0001586427,0.0012886056,0.0013645992,0.00012317253,0.0014514583],"domain_scores_gemma":[0.9972347,0.00051405455,0.0006027826,0.0009151849,0.00015649664,0.00057679927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039200624,0.0005387726,0.0014996958,0.000946821,0.00030818628,0.00041256766,0.00077992404,0.0005452052,0.000496182],"category_scores_gemma":[0.0008145436,0.00061821734,0.00026446884,0.0002322701,0.00022930419,0.00039832585,0.0015340255,0.0010180903,0.000036818434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017295666,0.00032546237,0.6439707,0.00022278828,0.0010834497,0.000023652281,0.0011107284,0.0005245259,0.0000039983975,0.34885457,0.00008980329,0.0036173074],"study_design_scores_gemma":[0.0018768942,0.00026750646,0.9065353,0.00043341724,0.00004445986,0.000008768117,0.0028479665,0.012914919,0.00001595308,0.054715525,0.018099695,0.0022395917],"about_ca_topic_score_codex":0.011142159,"about_ca_topic_score_gemma":0.028281922,"teacher_disagreement_score":0.29413906,"about_ca_system_score_codex":0.005090091,"about_ca_system_score_gemma":0.00018489159,"threshold_uncertainty_score":0.99962693},"labels":[],"label_agreement":null},{"id":"W3123754618","doi":"","title":"Policy-induced Internal Migration: An Empirical Investigation of the Canadian Case","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Unemployment; Internal migration; Closing (real estate); Demographic economics; Economics; Geography; Public policy; Politics; Economic geography; Political science; Economic growth; Developing country","score_opus":0.08834782421162102,"score_gpt":0.3267668222901988,"score_spread":0.2384189980785778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123754618","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":[0.9561128,0.00007519495,0.0000034447717,0.011120436,0.00032692464,0.0004287933,0.0003048745,0.0000090953245,0.031618457],"genre_scores_gemma":[0.99675626,0.0008761271,0.00024894686,0.0004934518,0.0006200491,0.00008466077,0.0000772662,0.000049014994,0.00079424196],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99669963,0.00017418448,0.0014743832,0.00094033167,0.0000889799,0.00062248914],"domain_scores_gemma":[0.9973044,0.00013765783,0.00071368203,0.0012562858,0.0001336756,0.00045432328],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020457627,0.00030536842,0.00076092803,0.0015344789,0.00031018173,0.00025495052,0.0010287475,0.00059613085,0.00013411866],"category_scores_gemma":[0.0003569182,0.00032053873,0.0003939097,0.00034084872,0.0003563913,0.00020228312,0.00052618474,0.0013640795,0.000024776122],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007353979,0.00023443157,0.8395545,0.00013945375,0.0005378514,0.00015184496,0.004314874,0.04823207,0.00004675164,0.06702599,0.0002545174,0.039434217],"study_design_scores_gemma":[0.001421276,0.00029417235,0.33333892,0.00025913166,0.000036278092,0.00033320184,0.00089904753,0.44770065,0.00039834675,0.17941047,0.034030274,0.0018782266],"about_ca_topic_score_codex":0.46264732,"about_ca_topic_score_gemma":0.9014144,"teacher_disagreement_score":0.5062155,"about_ca_system_score_codex":0.0027802775,"about_ca_system_score_gemma":0.0021060326,"threshold_uncertainty_score":0.99992466},"labels":[],"label_agreement":null},{"id":"W3123787275","doi":"","title":"Cities and growth: human capital location choice: accounting for amenities and thick labour markets","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Metropolitan area; Multinomial logistic regression; Human capital; Proxy (statistics); Census; Economics; Differential (mechanical device); Population; Logit; Demographic economics; Geography; Econometrics; Economic growth; Demography","score_opus":0.04637896833924287,"score_gpt":0.2847999458571937,"score_spread":0.23842097751795083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123787275","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":[0.9800196,0.0027004692,0.000030942603,0.001019249,0.00028901975,0.0006523114,0.00040149922,0.000021495116,0.0148654],"genre_scores_gemma":[0.98196024,0.014389255,0.00036190986,0.00013371637,0.0005768043,0.000352518,0.00015506631,0.00007491954,0.0019955616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970753,0.000057178706,0.0010687084,0.0009973276,0.000059902246,0.00074154575],"domain_scores_gemma":[0.99798745,0.00060459686,0.00058426015,0.0004771434,0.00016293392,0.00018359316],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025251745,0.0003679306,0.00091776083,0.0008796176,0.00041283134,0.00058570283,0.00039486983,0.00047477888,0.00008273914],"category_scores_gemma":[0.0004619364,0.00046834006,0.00017246853,0.000096167656,0.00044166777,0.0003840368,0.0007407002,0.0007928656,0.000008452793],"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":[0.00007885547,0.00013482397,0.431869,0.0014315883,0.00050137506,0.0000023830287,0.002077932,0.0005342355,0.000015914095,0.54478365,0.00007461106,0.018495642],"study_design_scores_gemma":[0.0016294555,0.00012253491,0.49422413,0.00027464126,0.000042013944,0.000011041375,0.0022044315,0.019925416,0.000030652416,0.4555772,0.024316551,0.0016419279],"about_ca_topic_score_codex":0.0026999644,"about_ca_topic_score_gemma":0.0014289806,"teacher_disagreement_score":0.08920646,"about_ca_system_score_codex":0.0004922505,"about_ca_system_score_gemma":0.000103642225,"threshold_uncertainty_score":0.99977684},"labels":[],"label_agreement":null},{"id":"W3124006359","doi":"10.1111/j.1468-2257.2005.00275.x","title":"Renewing Canada's Manufacturing Economy: A Regional Comparison, 1973‐1996","year":2005,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Manufacturing sector; Stock (firearms); Competition (biology); Population; Economy; Deindustrialization; Manufacturing; Shift-share analysis; Job creation; Economic geography; Economics; Business; Geography; Labour economics","score_opus":0.051244918268331247,"score_gpt":0.20282422632849642,"score_spread":0.15157930806016517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124006359","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":[0.9125063,0.0088266255,0.00047805195,0.041232333,0.0002604749,0.00022519256,0.00012944183,0.00004125627,0.036300357],"genre_scores_gemma":[0.9946512,0.00052479154,0.00024190873,0.0035238084,0.000672119,0.000029457624,0.0000375637,0.000016139467,0.00030303138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883974,0.0000057843217,0.00045224646,0.00037963776,0.000025322624,0.00029726047],"domain_scores_gemma":[0.9994035,0.000027382726,0.00022617179,0.000159209,0.000012039412,0.00017172481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012466067,0.0001602685,0.00039639464,0.00014265529,0.00015883557,0.00007461387,0.00014906737,0.000065163,0.00014957714],"category_scores_gemma":[0.0000057934785,0.00018505269,0.00008787578,0.000059938546,0.000033875687,0.00022071302,0.00005511366,0.00010303926,0.000047472953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055457924,0.00013899576,0.39289802,0.00013464758,0.0004221281,0.000017495582,0.0019250112,0.0001619773,0.000009023248,0.56086004,0.020587059,0.02279015],"study_design_scores_gemma":[0.00064319774,0.000042735977,0.09701177,0.000017298338,0.000017199533,0.00001166133,0.00011288615,0.009042251,0.00020653201,0.018404774,0.87389296,0.00059672],"about_ca_topic_score_codex":0.4133686,"about_ca_topic_score_gemma":0.45498016,"teacher_disagreement_score":0.85330594,"about_ca_system_score_codex":0.00012301725,"about_ca_system_score_gemma":0.000033389046,"threshold_uncertainty_score":0.75462294},"labels":[],"label_agreement":null},{"id":"W3124181175","doi":"10.1111/j.1540-5982.2012.01708.x","title":"The spatial organization of multinational firms","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Multinational corporation; Investment (military); Production (economics); Service (business); Industrial organization; Business; European union; Economic geography; Economics; International trade; Microeconomics; Marketing; Finance","score_opus":0.08453194043099371,"score_gpt":0.16749823677306522,"score_spread":0.0829662963420715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124181175","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":[0.990677,0.0007689574,0.00082352053,0.0039691892,0.0016854679,0.00012607334,0.00023297267,0.0000027058804,0.0017140945],"genre_scores_gemma":[0.9978677,0.0003136203,0.00029618418,0.0002490321,0.0008165686,0.000005134492,0.000023914525,0.000041032887,0.0003868043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976252,0.000028054776,0.0015384854,0.00021016554,0.000002340579,0.0005958084],"domain_scores_gemma":[0.9964816,0.00022475618,0.0017728526,0.00032269658,0.00026875403,0.0009293355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013213587,0.0002002393,0.00061356265,0.0005555188,0.0002833861,0.000108167704,0.00058096315,0.00014815696,0.00049499946],"category_scores_gemma":[0.00063323317,0.00021232449,0.00028146603,0.00019842008,0.0001988042,0.00051913183,0.000025727708,0.00020711844,0.000071612216],"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":[0.000011127767,0.000013614703,0.16662176,0.000008825313,0.0001727146,0.000002168553,0.00054584205,0.0019340562,0.000003209605,0.82918686,0.00033788037,0.0011619399],"study_design_scores_gemma":[0.0018887983,0.00036448502,0.15799572,0.00006935019,0.00010283335,0.00033680876,0.0008380822,0.013997968,0.00043437112,0.5534252,0.26931128,0.0012351264],"about_ca_topic_score_codex":0.12529176,"about_ca_topic_score_gemma":0.7751702,"teacher_disagreement_score":0.64987844,"about_ca_system_score_codex":0.0009897389,"about_ca_system_score_gemma":0.0005911045,"threshold_uncertainty_score":0.880533},"labels":[],"label_agreement":null},{"id":"W3124296270","doi":"","title":"Cities and Growth: Knowledge Spillovers in the Adoption of Advanced Manufacturing Technologies","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Business; Manufacturing sector; Affect (linguistics); Emerging technologies; Industrial organization; Economic geography; Economics; Computer science; Labour economics; Sociology","score_opus":0.04140756192349718,"score_gpt":0.26765696229309927,"score_spread":0.2262494003696021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124296270","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":[0.9391207,0.0022094664,0.000006483984,0.0009821103,0.00016337076,0.0004695974,0.00010570135,0.0000203562,0.056922205],"genre_scores_gemma":[0.8642608,0.134985,0.0002665568,0.000023700592,0.000044235218,0.00013066326,0.000032937332,0.000028089515,0.00022804228],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974015,0.00006874941,0.0011387372,0.00083483185,0.000058847105,0.00049737253],"domain_scores_gemma":[0.998288,0.00040447994,0.00050863344,0.0007069257,0.000046385583,0.00004560298],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015182485,0.00029221227,0.00090497563,0.0014090169,0.000114740695,0.000088399705,0.0008108508,0.00041969912,0.000013885192],"category_scores_gemma":[0.00027605597,0.00029838807,0.00022774743,0.00017868145,0.00059749564,0.0001618699,0.0007512871,0.0010960142,0.000010841282],"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":[0.00038683193,0.0009144565,0.27222058,0.0016464352,0.0006960619,0.0000880678,0.009140841,0.06566611,0.00004361609,0.29839432,0.00018360637,0.35061905],"study_design_scores_gemma":[0.0036596071,0.00051459373,0.38278633,0.0008879489,0.000030781608,0.000051298404,0.019112503,0.05287129,0.000909145,0.48655725,0.049893856,0.0027253788],"about_ca_topic_score_codex":0.00074269384,"about_ca_topic_score_gemma":0.00091923407,"teacher_disagreement_score":0.3478937,"about_ca_system_score_codex":0.0005072279,"about_ca_system_score_gemma":0.000095828764,"threshold_uncertainty_score":0.99994683},"labels":[],"label_agreement":null},{"id":"W3124396621","doi":"","title":"Urban Interactions: Soft Skills Versus Specialization","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Soft skills; Economic geography; Order (exchange); Distribution (mathematics); Business; Census; Industrial organization; Labour economics; Economics; Economic growth; Sociology; Management; Population","score_opus":0.0139749083502864,"score_gpt":0.22524588586511154,"score_spread":0.21127097751482515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124396621","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":[0.40160424,0.02103083,0.37345588,0.033373784,0.0060355095,0.0005001731,0.000059058926,0.00016226347,0.16377828],"genre_scores_gemma":[0.9882704,0.0059002484,0.00008979929,0.00029104558,0.0010106051,0.0000018943135,0.000015707436,0.000013892253,0.0044064224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982626,0.00001265824,0.0005439687,0.00023507103,0.000037771726,0.00090792635],"domain_scores_gemma":[0.99928963,0.000029090512,0.00040956747,0.00015445793,0.00004218215,0.00007507217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006469912,0.00012895763,0.00027130087,0.0002818368,0.0002033898,0.00013154617,0.00021703442,0.000055665267,0.00027806626],"category_scores_gemma":[0.00008201883,0.00014412178,0.00023536921,0.00020655448,0.000019514331,0.0003675801,0.000012115477,0.00060051994,0.0004395423],"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":[0.000045473247,0.000086647524,0.0020752554,5.104323e-7,0.00014332402,9.43322e-7,0.000067904446,0.00027066207,0.0000047335375,0.9863474,0.0010155083,0.00994165],"study_design_scores_gemma":[0.0009187125,0.00028912717,0.0029997663,0.0000062132294,0.000019750645,0.000039443326,0.0001500579,0.002736338,0.0000075527073,0.89135563,0.101225615,0.00025177613],"about_ca_topic_score_codex":0.00011686383,"about_ca_topic_score_gemma":0.0007116231,"teacher_disagreement_score":0.58666617,"about_ca_system_score_codex":0.0009730631,"about_ca_system_score_gemma":0.00019182595,"threshold_uncertainty_score":0.5877115},"labels":[],"label_agreement":null},{"id":"W3124543786","doi":"10.1177/0042098009339432","title":"City Size Distribution in China: Are Large Cities Dominant?","year":2009,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"China; Economic geography; Geography; Distribution (mathematics); Dominance (genetics); Chinese city; Population size; Urbanization; Estimation; Population; Economic growth; Demography; Economics; Biology; Sociology; Mathematics","score_opus":0.029443403487069843,"score_gpt":0.2316566576630611,"score_spread":0.20221325417599126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124543786","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":[0.9704805,0.015628165,0.00047219053,0.0069004227,0.00023033256,0.0001265706,0.00041089513,0.000024368357,0.005726554],"genre_scores_gemma":[0.9953602,0.0024411387,0.000036964255,0.00030726392,0.0001370701,0.000013857358,0.000024186482,0.000006608835,0.0016726938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878484,0.000010320212,0.0005365751,0.00034387654,0.00002808084,0.00029633247],"domain_scores_gemma":[0.99938166,0.000060706563,0.00029442203,0.00019226385,0.00003022135,0.00004070519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036292057,0.00016060809,0.0006375235,0.00008084051,0.00015978923,0.000041307165,0.00013321427,0.000061374645,0.00006913482],"category_scores_gemma":[0.00024565458,0.00016547974,0.00016766731,0.0002250872,0.0000596363,0.00015165057,0.000052754585,0.00010813414,0.00008022844],"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":[0.000029559164,0.00016466678,0.59928554,0.000016152318,0.00014856788,0.000011994373,0.0009695193,0.000057051082,0.0000023645187,0.3837304,0.015222584,0.00036159236],"study_design_scores_gemma":[0.000544284,0.00005003679,0.8459329,0.000022165546,0.000009051658,8.319025e-7,0.00041306374,0.00064056454,0.0000150176265,0.12255394,0.029569427,0.0002487013],"about_ca_topic_score_codex":0.00022485103,"about_ca_topic_score_gemma":0.0005673519,"teacher_disagreement_score":0.26117647,"about_ca_system_score_codex":0.00018550837,"about_ca_system_score_gemma":0.0000063231564,"threshold_uncertainty_score":0.6748068},"labels":[],"label_agreement":null},{"id":"W3124570322","doi":"","title":"Externalities, Indivisibility, Nonreplicability and Agglomeration","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Externality; Economies of agglomeration; Economics; Mathematics education; Microeconomics; Neoclassical economics; Psychology","score_opus":0.05678238445563165,"score_gpt":0.29773607125345214,"score_spread":0.24095368679782048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124570322","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":[0.8881088,0.0010683928,0.000024570592,0.0013299513,0.00024185583,0.00067324133,0.00051485485,0.000030673727,0.10800767],"genre_scores_gemma":[0.971235,0.025426622,0.0003657938,0.00017134043,0.00027796696,0.00023450462,0.00018231988,0.000062405685,0.0020440575],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99520147,0.00015151252,0.0017832777,0.002011581,0.000093333365,0.0007588141],"domain_scores_gemma":[0.9973679,0.00034528863,0.0005198533,0.0014243799,0.000063694104,0.0002788525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037145442,0.00042655302,0.0012435523,0.00090201537,0.00021824425,0.0004953888,0.00071367645,0.0006031812,0.00076707936],"category_scores_gemma":[0.00028655978,0.00054219045,0.00034873997,0.000165871,0.00048271767,0.00022336385,0.0009995244,0.0014222747,0.00007839066],"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":[0.000337846,0.0010221022,0.4990401,0.00071104296,0.0007884505,0.00004137055,0.0018984241,0.019439023,0.000021857895,0.109680474,0.00017970988,0.3668396],"study_design_scores_gemma":[0.0011597208,0.00016813136,0.22476064,0.0001604434,0.000017533974,0.000013404203,0.00020908994,0.094904095,0.000028203855,0.6154857,0.061593212,0.0014998284],"about_ca_topic_score_codex":0.0037603138,"about_ca_topic_score_gemma":0.0019617158,"teacher_disagreement_score":0.50580525,"about_ca_system_score_codex":0.0010210244,"about_ca_system_score_gemma":0.00020437829,"threshold_uncertainty_score":0.999703},"labels":[],"label_agreement":null},{"id":"W3124876950","doi":"10.1111/ecoj.2014.124.issue-581","title":"Survival of the Fittest in Cities: Urbanisation and Inequality","year":2014,"lang":"en","type":"preprint","venue":"Archive ouverte UNIGE (University of Geneva)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Urbanization; Economies of agglomeration; Inequality; Productivity; Survival of the fittest; Earnings; Economics; Incentive; Economic geography; Selection (genetic algorithm); Labour economics; Economic growth; Microeconomics; Finance","score_opus":0.030309091026549332,"score_gpt":0.18297950988572456,"score_spread":0.15267041885917523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124876950","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":[0.98059636,0.00014415133,0.010919977,0.00091848464,0.0001692483,0.00015453581,0.0005637662,0.000004241623,0.006529234],"genre_scores_gemma":[0.99825525,0.0006850016,0.0005469803,0.000040849536,0.000021538917,3.4033985e-7,0.000053819833,0.000008464004,0.00038774547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990309,0.000078277306,0.0003613133,0.0003567681,0.00004676124,0.00012596928],"domain_scores_gemma":[0.9986485,0.00010913458,0.00073418417,0.0004288301,0.00003538625,0.0000439314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045351213,0.00013644001,0.00061238953,0.00026651705,0.000079214165,0.00001094452,0.00047222464,0.00011850279,0.00006704528],"category_scores_gemma":[0.000043353797,0.00016297617,0.0002365008,0.000106946376,0.0002621029,0.00005826564,0.0006432209,0.00020448674,0.000005443075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052663345,0.00008238319,0.65584105,0.00023494272,0.00024459822,0.0000014964495,0.0047573647,0.0058099334,0.00004743624,0.33199963,0.00032181782,0.0006066919],"study_design_scores_gemma":[0.00052658195,0.000038015038,0.69352317,0.00007033739,0.000031492553,2.463241e-7,0.0009425098,0.09815099,0.0000104721075,0.2042537,0.0021937026,0.00025877575],"about_ca_topic_score_codex":0.015517689,"about_ca_topic_score_gemma":0.012233066,"teacher_disagreement_score":0.12774593,"about_ca_system_score_codex":0.0000712674,"about_ca_system_score_gemma":0.000056589324,"threshold_uncertainty_score":0.9910381},"labels":[],"label_agreement":null},{"id":"W3124976595","doi":"","title":"Transportation, freight rates, and economic geography","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in 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":"Université du Québec à Montréal","funders":"","keywords":"Economies of agglomeration; Distribution (mathematics); Economic geography; Capital (architecture); Economics; Business; Structuring; Dispersion (optics); Industrial organization; Microeconomics; Geography; Finance","score_opus":0.03238986509989084,"score_gpt":0.2624567521383562,"score_spread":0.23006688703846534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124976595","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":[0.8975356,0.0033773414,0.00003034688,0.0015764795,0.0006832965,0.0007733486,0.0013919296,0.000049652866,0.09458199],"genre_scores_gemma":[0.8303814,0.16656525,0.0006704389,0.00016085911,0.0003382066,0.00025943716,0.00046495683,0.00010903822,0.0010504174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995129,0.00007476401,0.0019325258,0.0018870906,0.00006935735,0.0009072458],"domain_scores_gemma":[0.99752164,0.00026249464,0.0007320139,0.001066242,0.00006451021,0.00035312612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013910739,0.00054986787,0.0014870749,0.0017693326,0.00029579844,0.00027372607,0.00079098373,0.00068599964,0.00035194412],"category_scores_gemma":[0.00006866174,0.0007127782,0.00054830447,0.00016362839,0.0005879253,0.0002454506,0.00030358482,0.001376045,0.00012561743],"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":[0.00017930895,0.00039660663,0.7723302,0.00032523784,0.0012714062,0.000113590344,0.0010223854,0.05721569,0.0000054801094,0.13410065,0.00089451927,0.03214491],"study_design_scores_gemma":[0.0024018034,0.00020689153,0.41751555,0.00017929974,0.000038633723,0.000026848753,0.00027169863,0.09009737,0.00003704155,0.18378127,0.30275133,0.002692265],"about_ca_topic_score_codex":0.0046641096,"about_ca_topic_score_gemma":0.0038981903,"teacher_disagreement_score":0.35481468,"about_ca_system_score_codex":0.00073823147,"about_ca_system_score_gemma":0.00027856024,"threshold_uncertainty_score":0.99953234},"labels":[],"label_agreement":null},{"id":"W3125184147","doi":"10.3386/w19118","title":"Spatial Equilibrium with Unemployment and Wage Bargaining: Theory and Estimation","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unemployment; Economics; Wage bargaining; Estimation; Wage; Structural estimation; Labour economics; Econometrics; Macroeconomics","score_opus":0.23067971060979237,"score_gpt":0.41142883217642195,"score_spread":0.1807491215666296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125184147","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09954565,0.009308098,0.0011594748,0.0036127437,0.00041108555,0.001560631,0.00074115006,0.000035853984,0.8836253],"genre_scores_gemma":[0.98863727,0.0030570275,0.0006647879,0.000038938593,0.00038283374,0.00013233462,0.0004094869,0.00006597777,0.006611372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997188,0.0000897586,0.0011515046,0.000872638,0.00030419248,0.0003939101],"domain_scores_gemma":[0.99730605,0.0008211288,0.00082610257,0.00032899395,0.00053278776,0.00018493932],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0061205057,0.00030442947,0.0009467274,0.0011310683,0.0001385537,0.00022310879,0.00029566206,0.00033436285,0.0008801741],"category_scores_gemma":[0.0005736392,0.0003079784,0.00013008941,0.00013027093,0.00050356024,0.00031659193,0.0002537911,0.0004593868,0.00016333409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000837614,0.000048248832,0.0058604465,0.000101587924,0.00046289063,0.0000019966644,0.00008313483,0.0007527292,0.000005029811,0.9863361,0.002267687,0.00399636],"study_design_scores_gemma":[0.0006690778,0.00026839788,0.0045502326,0.00008997631,0.000026072132,0.00002309907,0.000049370854,0.03687684,0.000025322908,0.94694626,0.010038614,0.00043673074],"about_ca_topic_score_codex":0.010367976,"about_ca_topic_score_gemma":0.00040933103,"teacher_disagreement_score":0.8890916,"about_ca_system_score_codex":0.0007776802,"about_ca_system_score_gemma":0.00072650705,"threshold_uncertainty_score":0.99993724},"labels":[],"label_agreement":null},{"id":"W3125225094","doi":"10.1257/app.20210074","title":"Income Segregation and the Rise of the Knowledge Economy","year":2023,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic rent; Economics; Sorting; Leverage (statistics); Economic inequality; Standard deviation; Inequality; Production (economics); Economic geography; Demographic economics; Econometrics; Microeconomics; Statistics; Mathematics","score_opus":0.01169003914829048,"score_gpt":0.19931051548265288,"score_spread":0.1876204763343624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125225094","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":[0.95828235,0.00052097655,0.0001662657,0.005843759,0.00048331945,0.0003183846,0.00007705494,0.00002497889,0.034282904],"genre_scores_gemma":[0.9955033,0.0031780505,0.00012474511,0.000306527,0.0002797535,0.00004589578,0.000005099402,0.000046349218,0.0005103028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997513,0.0000480075,0.001548536,0.00046593434,0.000017232893,0.00040728072],"domain_scores_gemma":[0.99667835,0.00033514074,0.002233312,0.0005758426,0.000026038852,0.00015129117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018699248,0.0002805159,0.0010190533,0.00036956283,0.00043687466,0.0002122562,0.00079959695,0.00007698477,0.000104206265],"category_scores_gemma":[0.000036838144,0.00021880005,0.00045319975,0.00029026385,0.0012940149,0.00025954613,0.00031819334,0.00034118418,0.00066956476],"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":[0.0000775399,0.000018695968,0.021970842,0.000010979449,0.00034373972,2.265243e-7,0.00056878466,0.012569839,0.0000017834403,0.9575486,0.00044190756,0.0064470493],"study_design_scores_gemma":[0.0029738708,0.000054806733,0.061660323,0.00001307489,0.000068272646,0.00005408651,0.001017296,0.09172664,0.000043701188,0.77469176,0.067106746,0.00058942137],"about_ca_topic_score_codex":0.0005978675,"about_ca_topic_score_gemma":0.0003020099,"teacher_disagreement_score":0.18285686,"about_ca_system_score_codex":0.0003293752,"about_ca_system_score_gemma":0.000116141535,"threshold_uncertainty_score":0.8922407},"labels":[],"label_agreement":null},{"id":"W3125263113","doi":"10.2139/ssrn.1673492","title":"Knowledge in Cities","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":"University of Toronto","funders":"","keywords":"Benchmarking; Metropolitan area; Productivity; Earnings; Regional science; Per capita; Economic geography; Geography; Economic growth; Demographic economics; Business; Economics; Marketing; Sociology; Accounting; Demography","score_opus":0.014163548557189523,"score_gpt":0.21142364910983422,"score_spread":0.1972601005526447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125263113","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":[0.95541644,0.0033665579,0.0014945553,0.0019147542,0.00046900817,0.000043450735,0.000005616592,0.000009474637,0.037280124],"genre_scores_gemma":[0.99221504,0.0032536746,0.00006248129,0.000071391085,0.00031853977,0.000004405673,0.0000024265748,0.000015148901,0.004056895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99820215,0.000008540044,0.0004800919,0.00019633728,0.000018448804,0.0010944098],"domain_scores_gemma":[0.99954623,0.000025162713,0.0002016039,0.00014412431,0.00002172098,0.00006118389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015208484,0.00010536154,0.00027678368,0.00036966652,0.00009479591,0.000071464456,0.00026432957,0.00008270579,0.00025163346],"category_scores_gemma":[0.00003842484,0.00011370981,0.00016155012,0.00017900452,0.000043757078,0.00018002522,0.000027541913,0.0014744758,0.00042796403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055038527,0.00003920353,0.034862276,0.0000012169685,0.000045750123,9.596204e-7,0.00008696203,0.000025646868,0.000019330513,0.96245694,0.000051435993,0.0024047748],"study_design_scores_gemma":[0.00035896356,0.00004713244,0.007637019,0.000002431267,0.000002929175,0.0000549011,0.00028086503,0.0015377363,0.0000069290923,0.96166545,0.028242277,0.00016334081],"about_ca_topic_score_codex":0.0006905416,"about_ca_topic_score_gemma":0.02655651,"teacher_disagreement_score":0.036798578,"about_ca_system_score_codex":0.00031528602,"about_ca_system_score_gemma":0.0003206244,"threshold_uncertainty_score":0.9912063},"labels":[],"label_agreement":null},{"id":"W3125296940","doi":"","title":"Entrepreneurs and Cities: Complexity, Thickness, and Balance","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economies of agglomeration; Balance (ability); Diversity (politics); Task (project management); Adaptation (eye); Entrepreneurship; sort; Economic geography; Economics; Business; Industrial organization; Microeconomics; Computer science; Sociology; Management; Finance; Psychology","score_opus":0.015733743231307995,"score_gpt":0.20338079060067943,"score_spread":0.18764704736937143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125296940","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":[0.9831369,0.0042775963,0.0021432969,0.0056856493,0.00022743076,0.0000521463,0.000015131995,0.0000116167685,0.0044502527],"genre_scores_gemma":[0.9837007,0.014697972,0.0001732903,0.00022429835,0.00020462893,0.0000024878332,0.0000035387027,0.000012812882,0.0009802817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99855477,0.000009323664,0.00034986547,0.00026970473,0.00002803151,0.0007882972],"domain_scores_gemma":[0.99945426,0.00003537201,0.00024565757,0.0001416427,0.000023693026,0.000099352095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087820395,0.00012400655,0.00029876814,0.0001333746,0.00021269983,0.0001513167,0.00016032308,0.00007380562,0.00009743476],"category_scores_gemma":[0.000043755896,0.00012934789,0.00007906088,0.000071304865,0.00016853992,0.00018930463,0.000056963556,0.0009775,0.000031323878],"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":[0.0000069923763,0.000012925943,0.11666615,0.0000030009699,0.00007402731,7.721937e-7,0.000068077185,0.000004333558,0.00002968755,0.88162863,0.00004432441,0.0014610672],"study_design_scores_gemma":[0.0003640288,0.000051723637,0.019822309,0.0000029178336,0.0000086952205,0.00027549107,0.00016710503,0.0022540211,0.0000036549816,0.9684151,0.008467542,0.00016740496],"about_ca_topic_score_codex":0.00067440065,"about_ca_topic_score_gemma":0.0032566746,"teacher_disagreement_score":0.096843846,"about_ca_system_score_codex":0.00007581357,"about_ca_system_score_gemma":0.000113892056,"threshold_uncertainty_score":0.52746534},"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":"W3125537849","doi":"10.22004/ag.econ.20614","title":"LABOR MARKET BEHAVIOR IN WASHINGTON: A COINTEGRATION APPROACH","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Population; Quarter (Canadian coin); Labour economics; Demographic economics; Investment (military); Short run; Unit (ring theory); Population growth; Econometrics; Monetary economics; Demography; Political science; Geography","score_opus":0.04921078275688256,"score_gpt":0.22232239339474635,"score_spread":0.1731116106378638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125537849","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":[0.95151883,0.000497415,0.002996258,0.0018770599,0.00016278856,0.00048794434,0.0007283642,0.0000171136,0.041714236],"genre_scores_gemma":[0.9799831,0.0039167567,0.003195546,0.00006595223,0.00007870972,0.0000073181477,0.0003858529,0.000032174215,0.012334621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791944,0.00007608724,0.00060303806,0.0009001591,0.00010215177,0.00039914763],"domain_scores_gemma":[0.9984237,0.00007730169,0.0005939635,0.0006310768,0.00011881445,0.0001551706],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010703086,0.00029075323,0.0010199002,0.0010988086,0.00012343178,0.00008126506,0.00083135907,0.00043372903,0.0029902533],"category_scores_gemma":[0.000039427017,0.0004175291,0.00045750683,0.00043543853,0.00019808715,0.00033483715,0.000539986,0.00070004526,0.00022489026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053017505,0.0022149615,0.8166763,0.00081370736,0.00091210805,0.00045009097,0.006923858,0.008167424,0.000057743866,0.13649902,0.014080551,0.012674043],"study_design_scores_gemma":[0.0024272106,0.00022111699,0.6954535,0.0001549645,0.00012866406,0.00001701391,0.004368836,0.24782501,0.000019522187,0.011175747,0.036705263,0.0015031312],"about_ca_topic_score_codex":0.032340966,"about_ca_topic_score_gemma":0.010316801,"teacher_disagreement_score":0.23965758,"about_ca_system_score_codex":0.00035854254,"about_ca_system_score_gemma":0.00012003866,"threshold_uncertainty_score":0.9998277},"labels":[],"label_agreement":null},{"id":"W3125583747","doi":"","title":"Spatial Equilibrium with Unemployment and Wage Bargaining: Theory and Estimation","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Unemployment; Monopoly; Wage bargaining; Wage; Structural estimation; Estimation; Econometrics; Labour economics; Microeconomics; Macroeconomics","score_opus":0.034240504138314434,"score_gpt":0.2689635292472396,"score_spread":0.23472302510892518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125583747","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":[0.9488024,0.001005299,0.00040839,0.0011633073,0.00014601547,0.00081032916,0.00013909812,0.000029283216,0.047495846],"genre_scores_gemma":[0.9894859,0.007103893,0.0014121378,0.00014156717,0.00013542589,0.00024483234,0.00009812957,0.0000787102,0.0012994128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968783,0.00012330824,0.0009919564,0.0013064276,0.00007174014,0.00062826136],"domain_scores_gemma":[0.9980177,0.00044966812,0.00049185107,0.0007177358,0.000058034944,0.0002649659],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025277142,0.00039653553,0.0009653579,0.00076464366,0.0001445084,0.00046744416,0.00037221372,0.00037387517,0.00022756262],"category_scores_gemma":[0.00020496616,0.0004235759,0.00011969649,0.00009689056,0.00047795541,0.00022782132,0.0009502722,0.00087209546,0.000033670218],"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":[0.0004912939,0.0002936069,0.117196046,0.0003439258,0.00096260523,0.000039988143,0.0015460686,0.03639036,0.00002248617,0.5340103,0.00006688223,0.30863643],"study_design_scores_gemma":[0.0014567124,0.00033830825,0.03288548,0.00020292337,0.000028163317,0.000017623957,0.00038127258,0.57602775,0.000032860185,0.38146996,0.00599729,0.0011616397],"about_ca_topic_score_codex":0.0017326035,"about_ca_topic_score_gemma":0.00052343745,"teacher_disagreement_score":0.5396374,"about_ca_system_score_codex":0.0004198921,"about_ca_system_score_gemma":0.00013373258,"threshold_uncertainty_score":0.9998216},"labels":[],"label_agreement":null},{"id":"W3125620266","doi":"10.1111/j.1530-9134.2008.00179.x","title":"<scp>Understanding the Inputs into Innovation: Do Cities Substitute for Internal Firm Resources?</scp>","year":2008,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Economies of agglomeration; Industrial organization; The Internet; Process (computing); Economics; Economic growth","score_opus":0.08465404783220963,"score_gpt":0.2379022688950616,"score_spread":0.15324822106285196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125620266","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":[0.91818535,0.0008988822,0.033296265,0.0021824504,0.00075483095,0.00027211435,0.00003529662,0.000009902319,0.044364903],"genre_scores_gemma":[0.99241614,0.0027215395,0.0010205057,0.0006264602,0.0004903997,0.00001824039,0.000011434026,0.000030867523,0.0026644103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975655,0.0000148928175,0.0017301462,0.0003243811,0.00004642175,0.00031867763],"domain_scores_gemma":[0.9973442,0.00017278852,0.001991111,0.00030065,0.00010769149,0.00008357825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011708018,0.00023794262,0.0006034826,0.0008033238,0.0004148464,0.0003358416,0.00068905967,0.00009157093,0.00006691291],"category_scores_gemma":[0.000056660538,0.00022311858,0.00038359777,0.00030246502,0.00016957364,0.00058414467,0.00010909228,0.00023213738,0.00003973331],"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":[0.000039668656,0.000045967547,0.0068187835,0.00003721921,0.0008137283,0.000016555252,0.00079191726,0.021289181,0.0000017382791,0.96307415,0.006572082,0.00049902993],"study_design_scores_gemma":[0.0017640835,0.0002941132,0.008740836,0.000045008295,0.00007349271,0.00007545652,0.0024885614,0.011020033,0.00002122751,0.7465512,0.22868025,0.00024571325],"about_ca_topic_score_codex":0.00007420076,"about_ca_topic_score_gemma":0.000070803515,"teacher_disagreement_score":0.22210817,"about_ca_system_score_codex":0.0004383661,"about_ca_system_score_gemma":0.00004709608,"threshold_uncertainty_score":0.90985113},"labels":[],"label_agreement":null},{"id":"W3125809002","doi":"","title":"Economy Wide Spillovers From Booms: Long Distance Commuting and the Spread of Wage Effects","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Boom; Spillover effect; Wage; Economics; Resource (disambiguation); Labour economics; Real wages; Economy; Microeconomics; Engineering","score_opus":0.028197893325977854,"score_gpt":0.2684972878673051,"score_spread":0.24029939454132723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125809002","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":[0.8388652,0.0051513207,0.00022234539,0.0035424938,0.0007343055,0.0013183566,0.00057497766,0.000021695778,0.1495693],"genre_scores_gemma":[0.97369814,0.024532225,0.0002518739,0.00019111895,0.00025331674,0.0001634142,0.00010071104,0.00007218201,0.0007370414],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960577,0.00017849864,0.0016417968,0.0013324799,0.00007175894,0.0007178035],"domain_scores_gemma":[0.9933461,0.0024386584,0.0017757497,0.0021837447,0.00006427343,0.00019145258],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032811011,0.00047345634,0.0019567355,0.0004896749,0.000409865,0.0005085222,0.0016635922,0.00044667826,0.00006831829],"category_scores_gemma":[0.00097456126,0.0004747499,0.0005642417,0.000074225296,0.0016160862,0.00025913285,0.0018503411,0.0014313087,0.000021977898],"study_design_candidate":"theoretical_or_conceptual","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":[0.0008151637,0.0003103235,0.59896135,0.0008893531,0.002494837,0.000070898874,0.0018694673,0.01593531,0.000008020001,0.3157788,0.00029827605,0.062568225],"study_design_scores_gemma":[0.0070878156,0.00016303215,0.18221468,0.0013108129,0.00011450214,0.000006396317,0.00058103504,0.22877295,0.00021279107,0.5044109,0.07290491,0.0022201308],"about_ca_topic_score_codex":0.011361535,"about_ca_topic_score_gemma":0.0043036686,"teacher_disagreement_score":0.41674668,"about_ca_system_score_codex":0.0006044925,"about_ca_system_score_gemma":0.00013664602,"threshold_uncertainty_score":0.9997704},"labels":[],"label_agreement":null},{"id":"W3126022931","doi":"","title":"Causal Inference in Urban and Regional Economics","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Download; Causal inference; Developing country; Interpretation (philosophy); Inference; Function (biology); Economics; Variation (astronomy); Panel data; Econometrics; Urban economics; Regional science; Positive economics; Sociology; Computer science; Microeconomics; Economic growth","score_opus":0.015663268183055815,"score_gpt":0.20256023834445452,"score_spread":0.18689697016139872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126022931","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":[0.97963816,0.0029389334,0.0073146224,0.0043600085,0.00013954638,0.00006323777,0.000008224813,0.000009370251,0.0055279187],"genre_scores_gemma":[0.9885802,0.010107305,0.00009257406,0.0003272599,0.00024473883,0.0000042159636,0.0000062137806,0.000016760529,0.0006206852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99804056,0.000021619358,0.0005833023,0.00031060743,0.000020957887,0.0010229587],"domain_scores_gemma":[0.99932176,0.00008767043,0.00032202175,0.00015194192,0.000018679368,0.000097907214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016140506,0.00014500479,0.00037782392,0.00031527106,0.000106862746,0.000096851254,0.00021172846,0.00008767545,0.000038459893],"category_scores_gemma":[0.00009076454,0.0001631879,0.00010659587,0.00010830964,0.00006225959,0.00024480748,0.00004018015,0.0007235172,0.00007314387],"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":[0.000011773931,0.00002110488,0.09079052,0.0000016711671,0.000050046056,3.9238407e-7,0.00006287,0.0006192111,0.0000010246192,0.9062353,0.000030975374,0.0021751348],"study_design_scores_gemma":[0.00056582387,0.000112868045,0.01498091,0.00000551009,0.000004967606,0.000030222596,0.00008737056,0.02214604,9.3072e-7,0.938574,0.023271676,0.00021963923],"about_ca_topic_score_codex":0.0009100242,"about_ca_topic_score_gemma":0.0058236415,"teacher_disagreement_score":0.075809605,"about_ca_system_score_codex":0.00049270794,"about_ca_system_score_gemma":0.00022069066,"threshold_uncertainty_score":0.66546094},"labels":[],"label_agreement":null},{"id":"W3126089717","doi":"","title":"Knowledge in cities","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Benchmarking; Earnings; Productivity; Regional science; Per capita; Economic geography; Geography; Business; Economic growth; Economics; Marketing; Sociology; Accounting","score_opus":0.03073293010723962,"score_gpt":0.22955034292209336,"score_spread":0.19881741281485374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126089717","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":[0.8196684,0.007275666,0.00024204886,0.0011260279,0.0051679215,0.00040198368,0.0007404918,0.000086573265,0.1652909],"genre_scores_gemma":[0.9889244,0.0015155657,0.0008104414,0.0003393305,0.0010521536,0.00022603397,0.00018416857,0.00011376474,0.0068341848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99513966,0.00005199977,0.0022847974,0.0016744613,0.000059172096,0.0007899214],"domain_scores_gemma":[0.9966489,0.00022085535,0.0013721397,0.0013568474,0.000088358174,0.0003128716],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011891932,0.0007664541,0.0021420647,0.0017059392,0.00018390111,0.00031947656,0.0011525684,0.0012106083,0.004728295],"category_scores_gemma":[0.00014857251,0.0009895299,0.0009760843,0.00027782476,0.0005184525,0.00028459734,0.00080472266,0.0020419124,0.0040068785],"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":[0.000016201348,0.00020656243,0.76256573,0.00012019643,0.0002681234,0.000019557381,0.0004993297,0.00037947006,0.000006877172,0.23143725,0.00412559,0.0003550975],"study_design_scores_gemma":[0.0020853616,0.00010300747,0.41007015,0.00031339526,0.000091572016,0.000046934227,0.0003351747,0.023187725,0.00006906598,0.2750499,0.28478867,0.0038590385],"about_ca_topic_score_codex":0.003540968,"about_ca_topic_score_gemma":0.0121805975,"teacher_disagreement_score":0.35249558,"about_ca_system_score_codex":0.00070596667,"about_ca_system_score_gemma":0.0004552174,"threshold_uncertainty_score":0.99925554},"labels":[],"label_agreement":null},{"id":"W3141772346","doi":"","title":"On the Difficulty of Comparing the Spatial Distribution of Service Industries Across Nations: Contrasting Spain and Canada","year":2011,"lang":"en","type":"article","venue":"ERSA conference papers","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Economies of agglomeration; Order (exchange); Distribution (mathematics); Tertiary sector of the economy; Context (archaeology); Service (business); Geography; Manufacturing; Regional science; Spatial distribution; Business; Economy; Economics; Economic growth; Marketing; Mathematics; Finance","score_opus":0.05862075503026584,"score_gpt":0.20084104022874585,"score_spread":0.14222028519848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141772346","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":[0.9908783,0.000049783703,0.00047535106,0.0023695119,0.00006114312,0.00010254028,0.0002589914,0.000002858913,0.005801564],"genre_scores_gemma":[0.9996976,0.00003953216,0.0000062277495,0.00017059405,0.000013524665,0.000008235064,0.000026747497,0.0000036980364,0.000033790282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99928623,0.00002063274,0.00037204364,0.00015110057,0.000040253708,0.00012971905],"domain_scores_gemma":[0.9990701,0.00026782844,0.00038960914,0.00014900908,0.000092798306,0.00003065176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031550002,0.0000887506,0.00024477465,0.000021296244,0.00018423406,0.000025487077,0.00019045893,0.000040207375,0.00009161687],"category_scores_gemma":[0.00029710715,0.00006272252,0.000034826615,0.0001503352,0.00013804069,0.0000435032,0.00004386823,0.00010731471,0.0000017615861],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034689747,0.000033567856,0.15989153,0.000018456676,0.0001513133,3.9398864e-7,0.002220985,0.00034258762,0.000045379806,0.8362124,0.00007268016,0.00097598886],"study_design_scores_gemma":[0.0004675818,0.00005390369,0.95172113,0.0000621442,0.000024748015,0.0000010160651,0.0060197893,0.03497686,0.00045999413,0.0044414173,0.0015412935,0.0002301168],"about_ca_topic_score_codex":0.6623011,"about_ca_topic_score_gemma":0.72980607,"teacher_disagreement_score":0.831771,"about_ca_system_score_codex":0.000048064754,"about_ca_system_score_gemma":0.00008404566,"threshold_uncertainty_score":0.33994764},"labels":[],"label_agreement":null},{"id":"W3143397039","doi":"10.3386/w32800","title":"The Spatial Impacts of a Massive Rail Disinvestment Program: The Beeching Axe","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disinvestment; Population; Economics; Investment (military); Instrumental variable; Rail network; Profitability index; Demographic economics; Business; Market economy; Political science; Finance; Engineering; Demography","score_opus":0.28828468276584673,"score_gpt":0.4631057441533203,"score_spread":0.17482106138747355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143397039","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020356372,0.03202012,0.0000632118,0.040894683,0.002786469,0.003058295,0.0021510012,0.000042718384,0.8986271],"genre_scores_gemma":[0.9815155,0.010228294,0.000115425304,0.000045293273,0.0010288844,0.00038172354,0.00032291844,0.000080686244,0.006281249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99572635,0.000113272654,0.0021926716,0.00078460906,0.0005920295,0.00059109856],"domain_scores_gemma":[0.99514806,0.0015254845,0.0015932285,0.00070744794,0.0008831533,0.0001426404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009690506,0.00034071627,0.0010259543,0.0008912988,0.0003660423,0.00038091085,0.0012805577,0.0003472331,0.00028495962],"category_scores_gemma":[0.0013233527,0.00024292535,0.000874016,0.0003687857,0.000823244,0.00015213632,0.00047071147,0.0010163578,0.0003600222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043724922,0.000099843666,0.0007155745,0.00016810794,0.0013551575,0.0000032973453,0.00013449704,0.0007319411,0.0000073579868,0.9640133,0.027483728,0.0052434714],"study_design_scores_gemma":[0.00024871316,0.00017221925,0.0010144168,0.000119062315,0.00004295635,0.000007387265,0.00009532229,0.008515269,0.000067756104,0.81695366,0.17249662,0.00026660785],"about_ca_topic_score_codex":0.023090681,"about_ca_topic_score_gemma":0.004843195,"teacher_disagreement_score":0.96115917,"about_ca_system_score_codex":0.0019598464,"about_ca_system_score_gemma":0.0024256385,"threshold_uncertainty_score":0.99062085},"labels":[],"label_agreement":null},{"id":"W3150104360","doi":"","title":"From Sequential to Parallel Growth of Cities： Theory and Evidence from Canada","year":2016,"lang":"en","type":"article","venue":"中国地理科学：英文版","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Economic geography; Distribution (mathematics); Convergence (economics); Geography; Club; Population growth; Population; Population size; Mode (computer interface); Economic growth; Economics; Demography; Mathematics; Computer science; Sociology","score_opus":0.028754782746593065,"score_gpt":0.20038401589010565,"score_spread":0.17162923314351258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150104360","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":[0.981453,0.0018579118,0.01013658,0.0042767185,0.00026430475,0.000085383865,0.0008941671,0.000007897272,0.0010240492],"genre_scores_gemma":[0.99726844,0.0005184526,0.00060419115,0.0004951109,0.00021698723,0.000012155865,0.000012626841,0.000015503363,0.0008565394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987615,0.000026971291,0.0005248013,0.00043921723,0.000046945443,0.00020058981],"domain_scores_gemma":[0.9988283,0.00042072232,0.00026466616,0.00030074446,0.00003886176,0.00014673626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029527332,0.00014388985,0.000451214,0.00009954148,0.000052928037,0.00003579893,0.00027108841,0.00006442045,0.0009415267],"category_scores_gemma":[0.0002158374,0.00012657742,0.00009633883,0.000087884975,0.00007273121,0.00017464632,0.00010616043,0.000049512422,0.00008535729],"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":[0.0003939521,0.000054024273,0.38677827,0.000028953593,0.00078149,0.000019176567,0.0022627492,0.00013921745,0.0016594131,0.5935137,0.010380166,0.003988864],"study_design_scores_gemma":[0.0012132258,0.00012848324,0.3118647,0.00024168659,0.00006819745,0.000001517545,0.00043440514,0.0007652877,0.0020268336,0.66986656,0.0124794,0.0009096798],"about_ca_topic_score_codex":0.91770566,"about_ca_topic_score_gemma":0.5392611,"teacher_disagreement_score":0.3784446,"about_ca_system_score_codex":0.00012747763,"about_ca_system_score_gemma":0.00009219847,"threshold_uncertainty_score":0.99997175},"labels":[],"label_agreement":null},{"id":"W3150273082","doi":"10.52324/001c.8076","title":"Explaining Canadian Regional Wage Differentials","year":2014,"lang":"en","type":"article","venue":"Review of Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Treasury Board of Canada Secretariat; Government of Canada","funders":"Government of Canada","keywords":"Wage; Economies of agglomeration; Economics; Context (archaeology); Human capital; Economic geography; Current Population Survey; Labour economics; Population; Capital (architecture); Demographic economics; Geography; Economic growth; Sociology","score_opus":0.0977992671404605,"score_gpt":0.27199242991406414,"score_spread":0.17419316277360364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150273082","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029120509,0.88631403,0.0007354576,0.054727152,0.00041828927,0.0003944863,0.00010318549,0.000029211627,0.028157689],"genre_scores_gemma":[0.4745968,0.5180217,0.00046718094,0.0058152424,0.00026896023,0.000048071826,0.000054943284,0.000022630426,0.0007044873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983354,0.000034972883,0.00090730836,0.0003755529,0.00006963474,0.00027713238],"domain_scores_gemma":[0.9986721,0.00016580787,0.00059442397,0.00029637202,0.00012050281,0.0001507925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008136883,0.00019538548,0.001115484,0.00022666508,0.0001689168,0.000015316362,0.00026827355,0.000053882235,0.00023094761],"category_scores_gemma":[0.00026803758,0.00018452854,0.00042605828,0.00020197894,0.00015434652,0.00009624044,0.00005659492,0.000087792665,0.00020396411],"study_design_candidate":"not_applicable","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":[0.0000041434982,0.00002743807,0.0061018593,0.001119369,0.0005267877,0.0000015508181,0.00012664964,0.000015492644,0.0000019811896,0.94541204,0.042767685,0.0038949922],"study_design_scores_gemma":[0.00022111279,0.00005031884,0.007764148,0.0020211504,0.00004651855,0.000006590544,0.000073822666,0.000321498,0.000003706959,0.036065552,0.95309496,0.00033060485],"about_ca_topic_score_codex":0.011036689,"about_ca_topic_score_gemma":0.0075776256,"teacher_disagreement_score":0.9103273,"about_ca_system_score_codex":0.00012347302,"about_ca_system_score_gemma":0.00003985118,"threshold_uncertainty_score":0.9955489},"labels":[],"label_agreement":null},{"id":"W3154782127","doi":"10.31219/osf.io/xg5m9","title":"THE EMERGENCE OF GEOGRAPHICAL ECONOMICS: AT THE CONTESTED BOUNDARIES OF ECONOMICS, GEOGRAPHY AND REGIONAL SCIENCE","year":2020,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Discipline; Location theory; Monopolistic competition; Strategic geography; Economic geography; Critical geography; Historical geography; Agricultural geography; Fujita scale; Urban economics; Time geography; Cultural geography; Human geography; Sociology; Social science; Economics; Geography; Development geography; Monopoly","score_opus":0.0310583807281344,"score_gpt":0.2006465736054223,"score_spread":0.16958819287728788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154782127","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":[0.96330726,0.0035698556,0.00017494099,0.027517997,0.00014713644,0.00017540339,0.000119308475,0.0000083210225,0.0049797483],"genre_scores_gemma":[0.9914299,0.0074885096,0.00012562342,0.00078807684,0.000047109,0.000010662745,0.0000060229127,0.000011086685,0.000092957685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981833,0.000013732721,0.0010110579,0.00049166864,0.000032359832,0.00026786505],"domain_scores_gemma":[0.9984004,0.00021472605,0.0007479075,0.00039765684,0.0000955081,0.00014382537],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00081961654,0.00016061455,0.00048501373,0.00015728571,0.00071180443,0.00017021825,0.00066021504,0.000057206085,0.00018417044],"category_scores_gemma":[0.0001220762,0.00011695758,0.00028748362,0.00036197965,0.0046929787,0.00022110733,0.00029293416,0.000103205275,0.000016839565],"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":[0.00005269947,0.00001646995,0.09945031,0.000008658702,0.00013856623,8.1622694e-8,0.00018871864,0.00031967738,0.000026536021,0.898769,0.0004734268,0.00055585004],"study_design_scores_gemma":[0.0015259066,0.00051597663,0.20514792,0.00001741332,0.0000833836,0.000013070743,0.0016044743,0.120649286,0.0014785536,0.35320282,0.31478915,0.00097204203],"about_ca_topic_score_codex":0.0018933803,"about_ca_topic_score_gemma":0.0015258,"teacher_disagreement_score":0.5455662,"about_ca_system_score_codex":0.000024517887,"about_ca_system_score_gemma":0.00009630592,"threshold_uncertainty_score":0.9980157},"labels":[],"label_agreement":null},{"id":"W3154793444","doi":"","title":"Essays in Labour and Urban Economics","year":2018,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Labour economics; Neoclassical economics; Sociology; Economic geography","score_opus":0.013665957708212993,"score_gpt":0.19684098397584865,"score_spread":0.18317502626763565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154793444","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":[0.80795574,0.0026352506,0.000043350065,0.00034563907,0.00021750263,0.00010092277,0.00013233666,0.000008531527,0.18856075],"genre_scores_gemma":[0.95426995,0.008998345,0.00075398834,0.000027315176,0.00007586663,7.0202725e-7,0.00016028114,0.000022927596,0.035690658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990857,0.00000881739,0.0002649489,0.00044024445,0.00001853435,0.00018172472],"domain_scores_gemma":[0.9990288,0.00001860966,0.0005847802,0.00025148192,0.00003742713,0.00007888833],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019621085,0.00017817906,0.00066730886,0.00016279469,0.00008011327,0.000024479483,0.00027001978,0.00026303894,0.009312372],"category_scores_gemma":[0.000011333938,0.00027888297,0.00016107259,0.00004977003,0.00006762536,0.00030636106,0.000050606923,0.00010443788,0.000082245315],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025167374,0.00013315186,0.03681548,0.00023268616,0.00043179034,0.00000972931,0.014760172,0.000043591153,0.0000072861317,0.9351633,0.0017054355,0.010445666],"study_design_scores_gemma":[0.0011594497,0.00014355879,0.9254238,0.00007478114,0.000054596087,0.0000010589042,0.009506262,0.0049013067,0.0000073287474,0.017043471,0.040928874,0.0007555069],"about_ca_topic_score_codex":0.3048962,"about_ca_topic_score_gemma":0.48655313,"teacher_disagreement_score":0.91811985,"about_ca_system_score_codex":0.00027940984,"about_ca_system_score_gemma":0.00003918188,"threshold_uncertainty_score":0.9999663},"labels":[],"label_agreement":null},{"id":"W3156790213","doi":"10.1515/zfw-2020-0040","title":"Models of Regional Economic Development: Illustrations Using U.S. Data","year":2021,"lang":"en","type":"article","venue":"Zeitschrift für Wirtschaftsgeographie","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Prosperity; Human capital; Regional development; Regional science; Economic geography; Shift-share analysis; Economics; Economic system; Political science; Economic growth; Sociology","score_opus":0.10851810111856114,"score_gpt":0.2719233644761713,"score_spread":0.1634052633576102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156790213","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":[0.82646114,0.019253567,0.0721807,0.0041139964,0.0012929991,0.0005446715,0.002779144,0.00014289582,0.07323089],"genre_scores_gemma":[0.9804248,0.0018233659,0.016033515,0.00024238553,0.00018973136,0.000010869118,0.0008839938,0.000045616893,0.00034567367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99722314,0.000024145973,0.0013550809,0.0009294896,0.00007651483,0.00039162676],"domain_scores_gemma":[0.9977166,0.00005887577,0.0006807025,0.0012691289,0.00010382697,0.0001708598],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055172405,0.0002705306,0.0007289469,0.0005934914,0.0002600839,0.0000985228,0.00074711366,0.00017147708,0.0006586944],"category_scores_gemma":[0.000031678814,0.0003403961,0.00029438152,0.00052813714,0.00021053368,0.0008348812,0.00037732875,0.00017586771,0.00014622985],"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":[0.000014043282,0.00014739978,0.015111486,0.00003117422,0.00053143693,0.000009050712,0.0001570852,0.017909601,0.000074733834,0.9645498,0.0008526258,0.00061155437],"study_design_scores_gemma":[0.0015334203,0.000050895447,0.010510133,0.00009306236,0.00012461297,0.00007145794,0.0003277673,0.45257404,0.00060754427,0.06779123,0.46480322,0.0015125963],"about_ca_topic_score_codex":0.0014342284,"about_ca_topic_score_gemma":0.0011042705,"teacher_disagreement_score":0.89675856,"about_ca_system_score_codex":0.00002033237,"about_ca_system_score_gemma":0.00029582193,"threshold_uncertainty_score":0.9999048},"labels":[],"label_agreement":null},{"id":"W3170985760","doi":"10.1177/00420980211018072","title":"Critical Commentary: Cities in a post-COVID world","year":2021,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":378,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Timeline; Pandemic; Economic geography; Context (archaeology); Coronavirus disease 2019 (COVID-19); Geography; Scale (ratio); Inequality; Politics; Urban geography; Economic growth; Development economics; Regional science; Urban planning; Political science; Economics; Cartography","score_opus":0.059397890134630885,"score_gpt":0.2707999218058301,"score_spread":0.21140203167119925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170985760","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":[0.47770107,0.14243892,0.0002707744,0.30703884,0.0012993603,0.00019628443,0.00046087,0.00006427533,0.07052962],"genre_scores_gemma":[0.98325175,0.0015909263,0.0003169453,0.011401054,0.00016870811,0.000028257877,0.00002516646,0.000012931407,0.0032042607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998905,0.000016776046,0.0004850626,0.00033588192,0.000024397297,0.00023290783],"domain_scores_gemma":[0.9993823,0.00021968172,0.00007894589,0.00019420315,0.00006737166,0.000057505942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020861404,0.00012438395,0.00051628257,0.00025733502,0.00011034438,0.000060351107,0.00010631215,0.000028986648,0.0004287891],"category_scores_gemma":[0.00031907673,0.00014142759,0.00014953727,0.00027821623,0.00013710097,0.0001326465,0.00013086204,0.00010345743,0.00016635947],"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":[0.000013016113,0.00010512931,0.23996773,0.000035976973,0.00032992513,0.000059447764,0.0013466227,0.000037244034,0.0000036167244,0.71195906,0.04587109,0.00027116403],"study_design_scores_gemma":[0.00096688286,0.000081581646,0.062377334,0.00005510951,0.000039703114,0.000006846052,0.0046808333,0.0011973951,0.00006164014,0.36852083,0.56131244,0.0006994016],"about_ca_topic_score_codex":0.00072130206,"about_ca_topic_score_gemma":0.0072665433,"teacher_disagreement_score":0.51544136,"about_ca_system_score_codex":0.00015751057,"about_ca_system_score_gemma":0.000018358536,"threshold_uncertainty_score":0.576725},"labels":[],"label_agreement":null},{"id":"W3170989152","doi":"10.1017/s1053837220000334","title":"THE EMERGENCE OF GEOGRAPHICAL ECONOMICS: AT THE CONTESTED BOUNDARIES OF ECONOMICS, GEOGRAPHY, AND REGIONAL SCIENCE","year":2021,"lang":"en","type":"article","venue":"Journal of the History of Economic Thought","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Discipline; Location theory; Monopolistic competition; Economic geography; Strategic geography; Critical geography; Historical geography; Fujita scale; Agricultural geography; Urban economics; Human geography; Time geography; Sociology; Social science; Economics; Neoclassical economics; Geography; Development geography; Monopoly","score_opus":0.02600272074171305,"score_gpt":0.2049171000255437,"score_spread":0.17891437928383064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170989152","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":[0.95623887,0.031259134,0.000027024671,0.006267253,0.0029444771,0.00011466974,0.00010835965,0.0000019705014,0.0030382741],"genre_scores_gemma":[0.9839995,0.013535665,0.00020535188,0.0002035787,0.00015347505,0.0000035266307,0.0000019095664,0.000020028361,0.0018769737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970751,0.000062896586,0.0021858937,0.00035524054,0.0000545189,0.0002663397],"domain_scores_gemma":[0.9942633,0.00037704158,0.0042555174,0.0007596317,0.00023454013,0.00010998183],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022652831,0.00020428177,0.00090716424,0.0002951621,0.00046007067,0.00006658952,0.0011826288,0.00009145239,0.00018685167],"category_scores_gemma":[0.00019069838,0.00014559308,0.00086995715,0.00017161232,0.0055018812,0.00034547798,0.00035445928,0.00023242005,0.000004940805],"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":[0.00028701447,0.0001318922,0.07889592,0.0000504641,0.0010006994,0.0000012573948,0.00079891237,0.0040824194,0.00041675265,0.9036454,0.009559226,0.0011300686],"study_design_scores_gemma":[0.0014569125,0.00022814938,0.06741322,0.000081834456,0.00019439211,0.00017886826,0.0007728744,0.005024519,0.0019323691,0.13482198,0.78739345,0.00050144014],"about_ca_topic_score_codex":0.0005785736,"about_ca_topic_score_gemma":0.0018695601,"teacher_disagreement_score":0.77783424,"about_ca_system_score_codex":0.0005026785,"about_ca_system_score_gemma":0.0009792532,"threshold_uncertainty_score":0.9972046},"labels":[],"label_agreement":null},{"id":"W317707520","doi":"10.4000/lisa.2303","title":"La traduction de l’innovation dans l’espace urbain en Amérique du Nord","year":2006,"lang":"fr","type":"article","venue":"Revue LISA / LISA e-journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Economic geography; Space (punctuation); Urban space; Regional science; Economic growth; Geography; Economic system; Economy; Sociology; Economics","score_opus":0.013974504457843803,"score_gpt":0.20255610974621183,"score_spread":0.18858160528836804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W317707520","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":[0.780182,0.009276201,0.10382429,0.058999904,0.0042833206,0.00023053178,0.00017007183,0.000032599324,0.043001104],"genre_scores_gemma":[0.86851805,0.019647947,0.0043747104,0.0004735122,0.012752772,0.000018195611,0.00009990942,0.00010601661,0.09400888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99673396,0.00022669163,0.0017928979,0.0005144515,0.000085976244,0.0006460105],"domain_scores_gemma":[0.99735653,0.00021702422,0.0017196969,0.0003326709,0.0001909403,0.00018315544],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029623094,0.00037834686,0.0007839002,0.0008407993,0.0004860127,0.00082475814,0.00046062266,0.0005391021,0.000878613],"category_scores_gemma":[0.00026430003,0.0004938132,0.0005846711,0.00086843537,0.00017011879,0.00096214295,0.000057799913,0.0010971543,0.00019244375],"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":[0.00008971232,0.00059039245,0.09504653,0.00013728581,0.00046068087,0.00025135608,0.005154516,0.035385795,0.00023868534,0.8067992,0.041678138,0.014167722],"study_design_scores_gemma":[0.0009681155,0.00017242474,0.034624808,0.00016567404,0.000099769175,0.0037817415,0.000670727,0.03283452,0.000090567926,0.04562718,0.88027084,0.00069362257],"about_ca_topic_score_codex":0.001446913,"about_ca_topic_score_gemma":0.0012191875,"teacher_disagreement_score":0.8385927,"about_ca_system_score_codex":0.0014024214,"about_ca_system_score_gemma":0.00015196428,"threshold_uncertainty_score":0.9997513},"labels":[],"label_agreement":null},{"id":"W3186322375","doi":"10.2139/ssrn.3255335","title":"How Does Land Policy Affect the Size Distribution of Chinese Cities?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":"University of Alberta","funders":"","keywords":"Affect (linguistics); Distribution (mathematics); China; Geography; Economic geography; Sociology; Mathematics","score_opus":0.007084438647580596,"score_gpt":0.20947795510362135,"score_spread":0.20239351645604076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186322375","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":[0.97446245,0.0013079129,0.0068190102,0.015696399,0.00019142554,0.000070243346,0.00008081352,0.000006733326,0.001364994],"genre_scores_gemma":[0.9929073,0.0035110165,0.000010326914,0.0001048541,0.0011733574,0.0000033786428,0.000009691338,0.0000121354,0.0022679507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99860543,0.000024558398,0.0003533515,0.00017118358,0.000042170337,0.0008033055],"domain_scores_gemma":[0.9991103,0.00008625265,0.00049138814,0.00020095192,0.00006254101,0.000048584992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011656369,0.00012693561,0.0003149898,0.00007902647,0.00023675026,0.000121914905,0.0003051788,0.00005883487,0.000048221154],"category_scores_gemma":[0.00028821596,0.00007810489,0.0002586014,0.00026462556,0.00015034682,0.00017499985,0.000037454927,0.00041709252,0.000026143533],"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":[0.000029956893,0.000026073081,0.12700811,0.0000037617776,0.00025721244,2.721881e-7,0.0000961132,0.000017259285,0.000014963746,0.87123865,0.00007215455,0.0012354787],"study_design_scores_gemma":[0.0003679316,0.00021009492,0.05858791,0.000004147802,0.000011770825,0.00003223514,0.00014811663,0.0007978302,0.000022962846,0.9327903,0.0068923263,0.00013437288],"about_ca_topic_score_codex":0.0013727447,"about_ca_topic_score_gemma":0.0035888685,"teacher_disagreement_score":0.068420194,"about_ca_system_score_codex":0.0004160586,"about_ca_system_score_gemma":0.00027126426,"threshold_uncertainty_score":0.3185025},"labels":[],"label_agreement":null},{"id":"W3199980909","doi":"10.33423/jabe.v22i2.2808","title":"Cities as Engines of Growth: Evidence from a New Global Sample of Cities","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Productivity; Economic geography; Developing country; Sample (material); Economies of scale; Population; Market size; Population size; Scale (ratio); Economics; Geography; Business; Economic growth; International economics; Demography","score_opus":0.04131361262086826,"score_gpt":0.2013714764589757,"score_spread":0.16005786383810744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199980909","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":[0.98657817,0.0025942035,0.006163351,0.0030924184,0.00017146111,0.000060236005,0.0002645592,0.000003685916,0.0010718988],"genre_scores_gemma":[0.986823,0.008929102,0.0035093771,0.00031340524,0.00039128147,0.0000012202195,0.0000072637176,0.000013748404,0.000011564788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99828655,0.0000036745723,0.0013095551,0.0002235785,0.00003359095,0.0001430475],"domain_scores_gemma":[0.9978015,0.0001736153,0.0016150292,0.00013025332,0.00012960506,0.00015000832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020559233,0.00017137166,0.001010225,0.00013485044,0.000034303313,0.00006491037,0.00028991874,0.000089726054,0.00017682722],"category_scores_gemma":[0.00016894304,0.0001805762,0.0002028001,0.00019417785,0.00011112457,0.00034143773,0.00008717041,0.00008502548,0.000009069484],"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":[0.0012392219,0.000104096056,0.14289425,0.00033580742,0.0012067023,0.0000045559123,0.0026936613,0.02282951,0.00022203702,0.82020694,0.001115459,0.0071477545],"study_design_scores_gemma":[0.0022370936,0.0003131808,0.07956663,0.00018003945,0.00018640416,0.000014726251,0.0015843817,0.011444129,0.0011245721,0.8963842,0.0062502497,0.0007144106],"about_ca_topic_score_codex":0.005568404,"about_ca_topic_score_gemma":0.000118076845,"teacher_disagreement_score":0.07617725,"about_ca_system_score_codex":0.00004959011,"about_ca_system_score_gemma":0.00012319596,"threshold_uncertainty_score":0.8417799},"labels":[],"label_agreement":null},{"id":"W3203858806","doi":"10.1111/caje.12511","title":"Firm heterogeneity, technology adoption and the spatial distribution of population: Theory and measurement","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","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":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Productivity; Economics; Econometrics; Population; Welfare; Distribution (mathematics); Economic geography; Spatial heterogeneity; Macroeconomics; Mathematics","score_opus":0.09111069116519084,"score_gpt":0.1736992865225548,"score_spread":0.08258859535736397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203858806","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":[0.9875718,0.004465853,0.0011134847,0.0059292084,0.00037351047,0.000121058605,0.00024015272,0.0000020426073,0.00018292753],"genre_scores_gemma":[0.9984049,0.0010496533,0.000111280926,0.00017702594,0.00016034751,0.000007455267,0.00003332535,0.000016691858,0.000039317925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831223,0.000060223552,0.0010517468,0.00029370844,0.0000026041657,0.00027946546],"domain_scores_gemma":[0.99807245,0.000100857775,0.0009642848,0.00027266954,0.0002062207,0.00038355117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018209901,0.00016532853,0.00071169867,0.00035969776,0.00016390886,0.00008922038,0.00020203833,0.00015358615,0.00006564074],"category_scores_gemma":[0.00041668277,0.00017596653,0.0001903948,0.00012246342,0.0003155533,0.00019060115,0.000036767226,0.00018037544,0.000002936917],"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":[0.0000650057,0.00000710341,0.043486815,0.0000197184,0.00021106389,0.000009680859,0.00013430184,0.00089078106,0.000002729405,0.9528109,0.000020906433,0.0023410197],"study_design_scores_gemma":[0.0013573882,0.000114527946,0.050153807,0.000049452712,0.00006873232,0.0003088876,0.0002456257,0.0038697845,0.00006442441,0.93760157,0.0059034675,0.00026231632],"about_ca_topic_score_codex":0.09558475,"about_ca_topic_score_gemma":0.8731884,"teacher_disagreement_score":0.7776036,"about_ca_system_score_codex":0.0006508845,"about_ca_system_score_gemma":0.00030649337,"threshold_uncertainty_score":0.9104378},"labels":[],"label_agreement":null},{"id":"W3208162475","doi":"10.1016/j.habitatint.2021.102458","title":"High-quality development in China: Measurement system, spatial pattern, and improvement paths","year":2021,"lang":"en","type":"article","venue":"Habitat International","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":169,"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 Victoria","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Lagging; China; Context (archaeology); Geography; Scale (ratio); Index (typography); Regional science; Economic geography; Economic growth; Economics; Cartography; Statistics; Computer science; Mathematics","score_opus":0.030197527608931386,"score_gpt":0.2174751581882464,"score_spread":0.187277630579315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208162475","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":[0.9666534,0.00039448633,0.024016405,0.0039569787,0.0009655229,0.0001302818,0.00011382376,0.000017416305,0.0037517012],"genre_scores_gemma":[0.9984219,0.00006904216,0.00079805555,0.0002476164,0.00012501975,0.00005232504,0.000081762475,0.0000124685375,0.00019181544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983224,0.000018767145,0.0008888612,0.00046077912,0.00012794253,0.0001812402],"domain_scores_gemma":[0.9993583,0.000019313138,0.00028099757,0.00016258356,0.000108688255,0.00007009675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076233136,0.00014324542,0.00034680153,0.00017304835,0.000060742314,0.000106256535,0.00015082664,0.000055250184,0.00025030135],"category_scores_gemma":[0.00007033099,0.00016528547,0.000086859356,0.00007420394,0.000022690407,0.00011437524,0.00012644386,0.00009554074,0.00010804843],"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":[0.000032897482,0.0003561263,0.57371163,0.00010411776,0.0004481726,0.000051320865,0.00046906996,0.00044988262,0.00039007643,0.38696814,0.00022810766,0.036790494],"study_design_scores_gemma":[0.0012418255,0.000030168827,0.9744657,0.000060648294,0.0000053921067,0.0000064832634,0.00010781391,0.0055653392,0.00084766,0.006739437,0.010584387,0.0003451367],"about_ca_topic_score_codex":0.005041385,"about_ca_topic_score_gemma":0.0071558966,"teacher_disagreement_score":0.4007541,"about_ca_system_score_codex":0.0006039598,"about_ca_system_score_gemma":0.0000552835,"threshold_uncertainty_score":0.76211},"labels":[],"label_agreement":null},{"id":"W3215363428","doi":"10.7202/1083640ar","title":"Changing Fortunes: An analysis of the dynamics of income inequality in US metropolitan areas","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Metropolitan area; Inequality; Economic inequality; Demographic economics; Economics; Income distribution; Income inequality metrics; Distribution (mathematics); Population; Development economics; Geography; Sociology; Demography","score_opus":0.03576074178623552,"score_gpt":0.24129461318174095,"score_spread":0.20553387139550544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215363428","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":[0.9952873,0.0005248627,0.0008390148,0.0023678537,0.00012775397,0.00002760511,0.00010382397,4.8994144e-7,0.00072131306],"genre_scores_gemma":[0.99950826,0.000053747568,0.00017583964,0.00016632683,0.000025481992,5.5843896e-7,0.0000049819746,0.000004406669,0.000060401737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847287,0.00003101033,0.00089956884,0.00020909231,0.00011712628,0.00027030925],"domain_scores_gemma":[0.9980249,0.000047283076,0.0009864434,0.00032101598,0.0003159435,0.00030445575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016015599,0.000085451924,0.0005549449,0.0020309812,0.00012613006,0.00003959788,0.0006745416,0.000044019253,0.00008884409],"category_scores_gemma":[0.00031654513,0.000076219716,0.0003660117,0.0040952163,0.0005156834,0.0003164553,0.000040161078,0.00011843801,6.3915354e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025125973,0.000015825468,0.6952122,0.0000043778805,0.0000908539,0.000006819533,0.00021609051,0.004479153,0.000010401398,0.2998413,0.0000023956568,0.000118089294],"study_design_scores_gemma":[0.00015196587,0.0000361941,0.91322124,0.000032426375,0.00006413947,0.00001646471,0.001521422,0.066281,0.00006749407,0.018188238,0.00029565522,0.00012376922],"about_ca_topic_score_codex":0.14832075,"about_ca_topic_score_gemma":0.6800261,"teacher_disagreement_score":0.5317054,"about_ca_system_score_codex":0.0010487931,"about_ca_system_score_gemma":0.0016874565,"threshold_uncertainty_score":0.85735065},"labels":[],"label_agreement":null},{"id":"W3215992801","doi":"10.13169/workorgalaboglob.1.1.0031","title":"The new knowledge aristocracy: the creative class, mobility and urban growth","year":2007,"lang":"en","type":"article","venue":"Work Organisation Labour & Globalisation","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Aristocracy (class); Class (philosophy); Investment (military); Unintended consequences; Creative class; Sociology; Economics; Economic growth; Political economy; Development economics; History; Economic geography; Political science; Politics; Law; Creativity","score_opus":0.014256935563815179,"score_gpt":0.21581159215094042,"score_spread":0.20155465658712524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215992801","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":[0.89751047,0.0046058996,0.034348622,0.03311534,0.0007658076,0.0007231374,0.000068070716,0.00008956704,0.028773086],"genre_scores_gemma":[0.99609625,0.00037891284,0.00019332593,0.0005408393,0.00039980788,0.000009547803,0.000030268731,0.000017188559,0.0023338494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99857306,0.000049678503,0.00067114824,0.000379629,0.000062351195,0.0002641532],"domain_scores_gemma":[0.99864274,0.00029332621,0.0005022653,0.0003403108,0.000105350075,0.00011599685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018329949,0.0001723903,0.00024027316,0.00007592585,0.0007210425,0.00028408488,0.0002529349,0.00011004194,0.00020359275],"category_scores_gemma":[0.00033798596,0.00013171505,0.00009604853,0.00052473,0.00017419721,0.00023924059,0.00006442619,0.00014990955,0.00025207756],"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":[0.000040281495,0.000034110133,0.08618071,0.0000033836216,0.00006617794,2.1828461e-7,0.0016488727,0.0000294734,0.0000059675517,0.9030457,0.006437132,0.0025079693],"study_design_scores_gemma":[0.00032202783,0.00003432352,0.5579607,0.0000050669346,0.000020663287,0.0000016026904,0.00064157427,0.0005924084,0.00006534305,0.26840702,0.17174317,0.00020612066],"about_ca_topic_score_codex":0.0018508218,"about_ca_topic_score_gemma":0.0015342955,"teacher_disagreement_score":0.63463867,"about_ca_system_score_codex":0.00038192494,"about_ca_system_score_gemma":0.000065584536,"threshold_uncertainty_score":0.5545749},"labels":[],"label_agreement":null},{"id":"W334163927","doi":"","title":"Inter-Regional Return and Onwards Migration in Canada: Evidence Based on a Micro-Regional Analysis */la Migration De Retour et D'etape Au Canada : Des Apprentissages Bases Sur Une Analyse a L'echelle Micro-Regionale","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Residence; Humanities; Geography; Net migration rate; Population; Cartography; Demography; Sociology; Art; Population growth","score_opus":0.035655834009309766,"score_gpt":0.23167164569126716,"score_spread":0.1960158116819574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W334163927","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":[0.9009838,0.0129352575,0.0045489245,0.0805634,0.00041982523,0.00016344333,0.000246023,0.0000029592695,0.00013638186],"genre_scores_gemma":[0.98948663,0.0037991598,0.0020988742,0.0036925848,0.00024597655,0.0000062735407,0.00005514074,0.000030259309,0.0005851096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950986,0.00022761812,0.001836451,0.0009566447,0.0005650038,0.0013156931],"domain_scores_gemma":[0.9943458,0.0013359785,0.001618886,0.00041643507,0.0007908239,0.0014920746],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005529569,0.00051654264,0.0010732128,0.0029456618,0.00060345285,0.00034185676,0.0009760854,0.00022441908,0.00014249329],"category_scores_gemma":[0.0009025924,0.00059022056,0.00051912386,0.004076873,0.0015240794,0.0012049128,0.00004925171,0.0007372342,0.0000022316156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00017606361,0.00009560744,0.9485999,0.00006187463,0.00043962288,0.0005447486,0.0008888407,0.031571254,0.00025281936,0.0031046413,0.010544568,0.0037200833],"study_design_scores_gemma":[0.0006980023,0.00016897095,0.86157775,0.0010011063,0.00025998525,0.00036997875,0.0017330981,0.08405193,0.00014868529,0.0011056524,0.04811179,0.0007730782],"about_ca_topic_score_codex":0.9992556,"about_ca_topic_score_gemma":0.99998474,"teacher_disagreement_score":0.08850284,"about_ca_system_score_codex":0.013115878,"about_ca_system_score_gemma":0.05764288,"threshold_uncertainty_score":0.99965495},"labels":[],"label_agreement":null},{"id":"W4205258490","doi":"10.7202/1083580ar","title":"Caractéristiques locales et individuelles : une analyse spatiale de la croissance des établissements en région non métropolitaine","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Geography; Forestry; Philosophy","score_opus":0.02196022967744575,"score_gpt":0.27163270799746436,"score_spread":0.2496724783200186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205258490","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":[0.8978618,0.033586048,0.01268125,0.051906608,0.0006210849,0.00007043443,0.00018044923,0.0000031341842,0.0030891877],"genre_scores_gemma":[0.98165375,0.007972048,0.0063476893,0.00097601116,0.00036936378,0.000002424607,0.000015566804,0.00002252344,0.0026406155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973872,0.0001785774,0.0009959281,0.00048308735,0.00018451644,0.00077069766],"domain_scores_gemma":[0.9966639,0.0002875948,0.0009847564,0.0002975581,0.0006369295,0.0011292413],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0032137427,0.0002563368,0.0006589844,0.001014423,0.0006078214,0.00064296933,0.0008218544,0.00019019035,0.000315246],"category_scores_gemma":[0.00081405626,0.00030608676,0.00039291484,0.001641437,0.0027700288,0.001094693,0.000068699024,0.00046166786,0.000026652593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024603085,0.00016479833,0.79546416,0.000077535624,0.0003503475,0.0010197015,0.0033474981,0.015458434,0.0002858842,0.16311476,0.009919013,0.010773291],"study_design_scores_gemma":[0.0006331538,0.00020124752,0.72221875,0.0005120732,0.000113851194,0.00087117194,0.0018718672,0.011065405,0.00061072793,0.07891782,0.18236326,0.0006206653],"about_ca_topic_score_codex":0.17343917,"about_ca_topic_score_gemma":0.23369582,"teacher_disagreement_score":0.17244424,"about_ca_system_score_codex":0.0019263929,"about_ca_system_score_gemma":0.0057949997,"threshold_uncertainty_score":0.99994385},"labels":[],"label_agreement":null},{"id":"W4206131403","doi":"10.7202/1083639ar","title":"Schémas origine-destination des activités de fusion et d’acquisition (F&amp;A) au Canada : une analyse sectorielle des réseaux, 1994-2016","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.041683185091737344,"score_gpt":0.2460123323058023,"score_spread":0.20432914721406495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206131403","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":[0.93994033,0.009147821,0.011661991,0.03439352,0.0014835204,0.000061167775,0.00015320734,0.0000031443565,0.0031552848],"genre_scores_gemma":[0.98758554,0.002568355,0.0053551127,0.0009911504,0.00059617794,0.0000020973062,0.000028367649,0.000021891,0.0028513244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746466,0.000095783085,0.00085137394,0.0004900795,0.00024211429,0.00085597014],"domain_scores_gemma":[0.9964827,0.00019222856,0.00092380075,0.00028851902,0.00077092677,0.0013418428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020142756,0.00024933773,0.0005175025,0.0008154042,0.0011171297,0.0003691687,0.0005577523,0.00014038925,0.0006050194],"category_scores_gemma":[0.00056007627,0.00029757532,0.00028997185,0.0022612503,0.0012769271,0.0012677007,0.000044994566,0.000372412,0.000019595936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00006113651,0.00016781158,0.5664048,0.00013289669,0.0003837587,0.0008470548,0.0030885097,0.052442104,0.0013735661,0.3398391,0.012298505,0.022960741],"study_design_scores_gemma":[0.0007290988,0.00018374973,0.46069872,0.0007653167,0.00013483064,0.001454592,0.0010668667,0.013004585,0.00066275295,0.095917754,0.4244639,0.0009178165],"about_ca_topic_score_codex":0.96245766,"about_ca_topic_score_gemma":0.99577826,"teacher_disagreement_score":0.4121654,"about_ca_system_score_codex":0.007895546,"about_ca_system_score_gemma":0.040356874,"threshold_uncertainty_score":0.9999476},"labels":[],"label_agreement":null},{"id":"W4206588658","doi":"10.7202/1083633ar","title":"Choix de l’échelle géographique et de la dimension temps : quel impact sur la forme de la structure hiérarchique ? Une investigation de la loi de Zipf sur le cas de la République du Bénin","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.013889247924870143,"score_gpt":0.2370717601725317,"score_spread":0.22318251224766156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206588658","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":[0.95318323,0.003920448,0.0050850734,0.035422552,0.00013349843,0.00008719493,0.00015319225,0.0000069784364,0.0020078341],"genre_scores_gemma":[0.984256,0.0061547314,0.005796992,0.002955428,0.00027536848,0.000005775292,0.000018902621,0.00004299472,0.0004937724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99637604,0.0011526954,0.0007726374,0.00049313577,0.00015614105,0.0010493624],"domain_scores_gemma":[0.99494207,0.0017083886,0.00082929403,0.00028715568,0.0003211328,0.0019119629],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009271696,0.00033379358,0.00058758305,0.0010737112,0.0005735928,0.0009865327,0.0007639506,0.00061113504,0.000074383366],"category_scores_gemma":[0.0021853675,0.00038075563,0.00050324935,0.0013406645,0.002800502,0.0010246205,0.00006876257,0.0012212052,0.0000025420763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028928182,0.00007352378,0.57199115,0.000041410516,0.00014667147,0.00080037024,0.0023633114,0.055785388,0.0022914708,0.35960832,0.0061248667,0.00074457633],"study_design_scores_gemma":[0.0007296795,0.00009170879,0.63100046,0.00024135309,0.000044054264,0.006807761,0.00023748174,0.026713386,0.0008105799,0.26281723,0.07004939,0.00045688136],"about_ca_topic_score_codex":0.38487175,"about_ca_topic_score_gemma":0.22168237,"teacher_disagreement_score":0.16318938,"about_ca_system_score_codex":0.0038111024,"about_ca_system_score_gemma":0.03418183,"threshold_uncertainty_score":0.9999133},"labels":[],"label_agreement":null},{"id":"W4214517336","doi":"10.1080/15387216.2022.2039741","title":"Dynamics or Dilemma: Assessing the Innovation Systems of Three Satellite Platform Regions (Singapore, Dublin and Penang)","year":2022,"lang":"en","type":"article","venue":"Eurasian Geography and Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Dilemma; Multinational corporation; Economic geography; Framing (construction); Diversification (marketing strategy); Indigenous; Business; Linkage (software); Population; Regional science; Industrial organization; Marketing; Geography; Sociology","score_opus":0.041546806509765326,"score_gpt":0.22201031286005596,"score_spread":0.18046350635029063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214517336","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":[0.98998827,0.0021560679,0.0012803408,0.0022685155,0.00038550244,0.00026508773,0.00027933827,0.000017848784,0.003359047],"genre_scores_gemma":[0.9973581,0.001873772,0.00020567978,0.00017368578,0.00007457346,0.00004053559,0.00013060463,0.000026334734,0.000116737065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982358,0.000020399895,0.001012568,0.0004398401,0.000031767697,0.0002595957],"domain_scores_gemma":[0.9984745,0.00012245539,0.0009574517,0.00034180214,0.000039526432,0.000064308544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095968065,0.00019954362,0.0005129162,0.0006564966,0.0006779216,0.00031579964,0.00025621348,0.00007298838,0.000046636207],"category_scores_gemma":[0.000028650156,0.00018298575,0.00014272216,0.00060891436,0.00021367293,0.0004439726,0.00018631828,0.00023124593,0.0000029560726],"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":[0.00002546761,0.000033464778,0.22558555,0.000029631261,0.0001424618,0.000001734994,0.00015164391,0.0013703686,7.1723383e-7,0.76988465,0.000045735236,0.0027285984],"study_design_scores_gemma":[0.0014612735,0.00033168378,0.36939433,0.000038660753,0.00010440354,0.00014835726,0.004398218,0.32572952,0.000003891972,0.23827992,0.059093017,0.0010167136],"about_ca_topic_score_codex":0.001299713,"about_ca_topic_score_gemma":0.00073135115,"teacher_disagreement_score":0.5316047,"about_ca_system_score_codex":0.000081789534,"about_ca_system_score_gemma":0.000033764958,"threshold_uncertainty_score":0.74619424},"labels":[],"label_agreement":null},{"id":"W4221040784","doi":"10.1080/00343404.2022.2031951","title":"Where do capabilities reside? Analysis of related technological diversification in multi-locational firms","year":2022,"lang":"en","type":"article","venue":"Regional Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Diversification (marketing strategy); Business; Industrial organization; Economic geography; Dynamic capabilities; Regional studies; Resource (disambiguation); Economics; Regional development; Regional science; Marketing; Computer science; Geography","score_opus":0.08908971703867588,"score_gpt":0.25946258033141845,"score_spread":0.17037286329274257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221040784","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":[0.9557934,0.031428766,0.00023934373,0.011193998,0.00007622325,0.0001759141,0.00024230996,0.00002628185,0.0008237778],"genre_scores_gemma":[0.99519354,0.0035673906,0.00028719843,0.000052188723,0.000007820919,0.00009185875,0.00006490228,0.0000068694644,0.0007282004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99851656,0.000039417497,0.0007747543,0.00042457716,0.0000863031,0.00015838617],"domain_scores_gemma":[0.99898654,0.0001973043,0.00046072467,0.0002381821,0.00009187529,0.000025391942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006707837,0.000121562785,0.0006245901,0.0008904106,0.00022820201,0.000011100851,0.00025552386,0.000060468414,0.00038526635],"category_scores_gemma":[0.0001690963,0.00013076393,0.00026951864,0.001681081,0.00030069984,0.000083760555,0.00018915105,0.00015708113,0.000018185301],"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":[0.00002620095,0.00019701783,0.35912073,0.00001695227,0.0017351204,0.0000024501078,0.001036416,0.032208115,0.0000077413015,0.6048426,0.0006138728,0.00019281938],"study_design_scores_gemma":[0.0008721714,0.00010452219,0.7842497,0.000018850138,0.00022253463,0.0000031937602,0.011456271,0.044102233,0.0000063205084,0.1333261,0.025157297,0.00048078486],"about_ca_topic_score_codex":0.0010699496,"about_ca_topic_score_gemma":0.0007452929,"teacher_disagreement_score":0.4715165,"about_ca_system_score_codex":0.00035927587,"about_ca_system_score_gemma":0.000022242104,"threshold_uncertainty_score":0.53323984},"labels":[],"label_agreement":null},{"id":"W4223936917","doi":"10.1515/zfw-2022-0012","title":"Editorial: ZFW – Advances in Economic Geography","year":2022,"lang":"en","type":"editorial","venue":"ZFW – Advances in Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Economic geography; Geography; Regional science","score_opus":0.0050486885783249304,"score_gpt":0.2200857972041046,"score_spread":0.21503710862577965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223936917","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002613211,0.07690751,0.000032540676,0.00028578343,0.87989944,0.0008539767,0.005298113,0.000113393704,0.033996034],"genre_scores_gemma":[0.005921231,0.2576576,0.00032405942,0.00013077701,0.73190904,0.0010795391,0.0022295187,0.0003055985,0.00044263652],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98943204,0.00015770101,0.0046027713,0.0037061702,0.00025327632,0.0018480354],"domain_scores_gemma":[0.99318844,0.001095755,0.0034450176,0.0018125203,0.000067217654,0.00039105842],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002624677,0.0015645042,0.003955972,0.005972033,0.00039067728,0.00046158727,0.0027669899,0.0014382302,0.0028671063],"category_scores_gemma":[0.00020771174,0.0021253973,0.0020816934,0.00088021776,0.0005426476,0.0030218211,0.00072489516,0.0025414883,0.00093926134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051938137,0.0005632635,0.21548754,0.00039659478,0.0006992513,0.000039931085,0.00020178167,0.10810437,2.650733e-7,0.03003593,0.62970865,0.014243015],"study_design_scores_gemma":[0.0022123773,0.00021868627,0.001095327,0.00007763693,0.000044887816,0.0000018001272,0.00012086367,0.0012792778,6.971125e-7,0.081704095,0.9112129,0.0020314576],"about_ca_topic_score_codex":0.005391732,"about_ca_topic_score_gemma":0.018816052,"teacher_disagreement_score":0.2815042,"about_ca_system_score_codex":0.0020769741,"about_ca_system_score_gemma":0.00040358587,"threshold_uncertainty_score":0.99985814},"labels":[],"label_agreement":null},{"id":"W4230162986","doi":"10.2139/ssrn.899598","title":"Desperately Seeking Spillovers?: Increasing Returns, Industrial Organization and the Location of New Entrants in Geographic and Technological Space","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"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":"Space (punctuation); Economic geography; Industrial organization; Business; Labour economics; Economics; Computer science","score_opus":0.011610771835909228,"score_gpt":0.17878474193838662,"score_spread":0.1671739701024774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230162986","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":[0.9875809,0.005967114,0.003846696,0.0023602555,0.000024794283,0.00008499454,0.0000011062841,0.0000047064373,0.0001294411],"genre_scores_gemma":[0.9902239,0.009547725,0.000058860485,0.000020248335,0.00009221523,5.9907285e-7,0.0000032295893,0.000007794546,0.000045443976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989471,0.000034041783,0.00043133512,0.00016397733,0.000032255994,0.00039129175],"domain_scores_gemma":[0.99947,0.00005368995,0.00034263136,0.00007004161,0.000038166632,0.000025451987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015621376,0.00008758366,0.00026469395,0.00025171885,0.00009738625,0.00007463573,0.000094709554,0.000110938636,0.000010285178],"category_scores_gemma":[0.00022897215,0.000073239644,0.000033559652,0.0005179249,0.00011683411,0.00013950061,0.000025276062,0.00049088616,0.0000013253438],"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":[0.00005001781,0.000016742038,0.36826456,0.0000021251178,0.000041893687,4.4985825e-7,0.000043601456,0.00017832061,0.00005069345,0.6302975,0.0000022206284,0.0010519125],"study_design_scores_gemma":[0.004071208,0.00010486869,0.12021107,0.000045242454,0.00004113369,0.0001644489,0.00057347503,0.00702047,0.00010354917,0.8672303,0.00019757336,0.00023665902],"about_ca_topic_score_codex":0.003964126,"about_ca_topic_score_gemma":0.001741307,"teacher_disagreement_score":0.24805348,"about_ca_system_score_codex":0.00016459612,"about_ca_system_score_gemma":0.00016861688,"threshold_uncertainty_score":0.59926},"labels":[],"label_agreement":null},{"id":"W4231013690","doi":"10.1016/b978-0-08-102295-5.10127-1","title":"Economic Geography, Relational","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Concordia University","funders":"","keywords":"Context (archaeology); Agency (philosophy); Relational theory; Scale (ratio); Restructuring; Set (abstract data type); Sociology; Economic geography; Social science; Political science; Epistemology; Geography; Computer science; Cartography","score_opus":0.021214322127942505,"score_gpt":0.19509372335469513,"score_spread":0.17387940122675263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231013690","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021071275,0.0027260059,0.00003205937,0.00046710589,0.00086415885,0.00031556652,0.0006405515,0.000036672347,0.99470717],"genre_scores_gemma":[0.0042571947,0.0007264462,0.0002491881,0.0004662584,0.00057433936,0.000017900647,0.00022698045,0.00011919769,0.9933625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974984,0.000005317359,0.0012209418,0.0009034363,0.00005305341,0.00031886066],"domain_scores_gemma":[0.99800044,0.00006317771,0.0010214159,0.0007414256,0.000032157615,0.00014138766],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033963774,0.0004658169,0.0011318409,0.0006080911,0.000117074946,0.00009766247,0.0004033836,0.0004780548,0.005072758],"category_scores_gemma":[0.0000066069083,0.0005714329,0.001046434,0.0000111503405,0.00012932447,0.00010125943,0.00013549921,0.0004170277,0.019990604],"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":[0.0000077977675,0.0000050921235,0.0013336072,0.000020290105,0.00044405588,0.000003347809,0.000017239756,0.00010819226,1.1562499e-7,0.9286259,0.0005254225,0.06890895],"study_design_scores_gemma":[0.00019009403,0.000026044607,0.00049767987,0.000030957784,0.00003196195,0.000003580253,7.078649e-7,0.0004012859,2.8496126e-7,0.2849129,0.7134294,0.00047512297],"about_ca_topic_score_codex":0.000021084035,"about_ca_topic_score_gemma":0.00012780337,"teacher_disagreement_score":0.712904,"about_ca_system_score_codex":0.00027323308,"about_ca_system_score_gemma":0.000114937575,"threshold_uncertainty_score":0.9996737},"labels":[],"label_agreement":null},{"id":"W4236091214","doi":"10.1080/10611991.2018.1628595","title":"Northern Cities","year":2018,"lang":"en","type":"article","venue":"Problems of Economic Transition","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban agglomeration; Human settlement; Geography; Regional science; Economic geography; Economy; Perspective (graphical); Political science; Economics; Archaeology","score_opus":0.026538784197506986,"score_gpt":0.1970823314536441,"score_spread":0.1705435472561371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236091214","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":[0.938055,0.00049983035,0.012092761,0.0020022206,0.00030697763,0.00015840662,0.00019756956,0.000031955224,0.04665531],"genre_scores_gemma":[0.9988574,0.0001615811,0.0003996555,0.00012540114,0.00023396935,0.000015536118,0.000034275403,0.000018779803,0.00015341052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987902,0.0000065560325,0.00070455775,0.00030675338,0.000013855495,0.00017809341],"domain_scores_gemma":[0.9993335,0.00001708537,0.0003402962,0.00021689953,0.00003970604,0.000052492956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002796599,0.00012050447,0.00037611843,0.00020373196,0.000074045696,0.00003087705,0.00016017647,0.00007260751,0.00090492226],"category_scores_gemma":[0.0000055943938,0.0001476766,0.00019427427,0.000059653834,0.00016674689,0.00024386281,0.000014029292,0.00005200046,0.0010105578],"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":[0.000051510026,0.00009956021,0.01934079,0.00008372777,0.00030891126,5.4244515e-7,0.0019999335,0.0079787085,0.00034985758,0.96731293,0.00027065907,0.002202896],"study_design_scores_gemma":[0.0012852506,0.00042411764,0.014321525,0.000053724212,0.000034125736,0.0000073057704,0.00017194517,0.058097515,0.0016380502,0.9045442,0.018742867,0.0006794082],"about_ca_topic_score_codex":0.0027642625,"about_ca_topic_score_gemma":0.003105293,"teacher_disagreement_score":0.062768735,"about_ca_system_score_codex":0.000098003096,"about_ca_system_score_gemma":0.000022463239,"threshold_uncertainty_score":0.99976724},"labels":[],"label_agreement":null},{"id":"W4236745080","doi":"10.1093/obo/9780190922481-0033","title":"Urban Economics","year":2020,"lang":"en","type":"reference-entry","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Population; Metropolitan area; Distribution (mathematics); Geography; Position (finance); Economic geography; Space (punctuation); Natural resource; Interdependence; Economics; Mathematics; Computer science; Ecology; Demography; Sociology","score_opus":0.04860206492498349,"score_gpt":0.20426509348450647,"score_spread":0.15566302855952296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236745080","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018782596,0.009029064,0.0009495559,0.0064878096,0.0014771618,0.00019050065,0.0015454877,0.00007371285,0.9800589],"genre_scores_gemma":[0.013300837,0.3250246,0.0010053405,0.004674364,0.004181781,0.000069342525,0.0022335772,0.00021240443,0.6492978],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970699,0.000010373965,0.0013540507,0.001110179,0.000028558798,0.00042693582],"domain_scores_gemma":[0.99807304,0.000051334402,0.00093960523,0.000605401,0.000030131807,0.00030048317],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017786855,0.00048292405,0.0016044213,0.00038116885,0.00010588252,0.00024461883,0.0007139215,0.0005369184,0.0046844045],"category_scores_gemma":[0.00004881343,0.00055618846,0.0008020125,0.00018421242,0.00006778616,0.00016339261,0.00020888691,0.0005086703,0.010085869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053021913,0.000023660807,0.00079523923,0.000041459673,0.000290338,0.0000030165802,0.000028401266,0.000018022734,4.674642e-9,0.4238813,0.5726796,0.0022336629],"study_design_scores_gemma":[0.00022266815,0.00004227814,0.00012713217,0.000018998242,0.00002951305,0.000001928053,0.000012228951,0.004026845,8.082018e-7,0.050821193,0.94405067,0.00064575317],"about_ca_topic_score_codex":0.0012040823,"about_ca_topic_score_gemma":0.00023123204,"teacher_disagreement_score":0.3730601,"about_ca_system_score_codex":0.00027590568,"about_ca_system_score_gemma":0.00011939465,"threshold_uncertainty_score":0.999689},"labels":[],"label_agreement":null},{"id":"W4237157804","doi":"10.1068/a37361","title":"Guest Editorial","year":2005,"lang":"en","type":"editorial","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"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":"Political science; Sociology","score_opus":0.010365489038427194,"score_gpt":0.1865816274512833,"score_spread":0.1762161384128561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237157804","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001648077,0.013965716,0.0001508053,0.0012141599,0.9636702,0.00018943792,0.0004568837,0.000030557047,0.018674156],"genre_scores_gemma":[0.0022780572,0.0064718267,0.00018905778,0.00006681126,0.9847549,0.000031607833,0.00041460886,0.000047020534,0.0057460885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804056,0.000015691792,0.0006349392,0.0008983896,0.000055015316,0.00035540722],"domain_scores_gemma":[0.99867433,0.00026117903,0.0005484912,0.00029655523,0.000009434713,0.0002100046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005237295,0.00041764768,0.0008967596,0.00021856601,0.00022463928,0.00026508543,0.00018241061,0.00076445675,0.00016447084],"category_scores_gemma":[0.00006575025,0.00049421546,0.0001496657,0.00003239,0.0001397226,0.00023647507,0.00014896164,0.00059473445,0.00032500297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025193094,0.000024898985,0.002774277,0.00003129073,0.00016946875,0.0000045991674,0.00021982868,0.00013772104,1.7739853e-7,0.0037911981,0.9926765,0.00014484925],"study_design_scores_gemma":[0.000512587,0.00006946224,0.00016378888,0.000028508743,0.000037186655,0.0000012592417,0.000045310615,0.00055422605,7.913546e-7,0.0033006857,0.9947133,0.000572895],"about_ca_topic_score_codex":0.0003621449,"about_ca_topic_score_gemma":0.000020545269,"teacher_disagreement_score":0.021084715,"about_ca_system_score_codex":0.000111398156,"about_ca_system_score_gemma":0.00002379079,"threshold_uncertainty_score":0.999751},"labels":[],"label_agreement":null},{"id":"W4239909573","doi":"10.4324/9781315165066-3","title":"North America","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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","score_opus":0.041222894923559364,"score_gpt":0.19701383515741974,"score_spread":0.15579094023386036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239909573","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028247498,0.0010787108,0.0008162819,0.0013934817,0.0002671041,0.00009014475,0.0003997922,0.00002668855,0.99589956],"genre_scores_gemma":[0.005934712,0.0033510367,0.00024179411,0.00060795585,0.00034882588,0.0000062468994,0.00020540075,0.000056757406,0.98924726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858177,8.9197664e-7,0.00062353665,0.00057031214,0.000026487955,0.00019700479],"domain_scores_gemma":[0.9979763,0.000017405431,0.0010114582,0.00085062656,0.000029346971,0.00011484385],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007497474,0.00028060278,0.0008576927,0.00024523132,0.0001675719,0.00014925477,0.0005164088,0.00019865333,0.010170347],"category_scores_gemma":[0.000016003065,0.0003134544,0.00052573683,0.0000075174444,0.00012447119,0.000104433064,0.000114761184,0.00020701632,0.017340148],"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":[0.0000028104146,0.0000067722244,0.00055095396,0.000006682563,0.00023043594,0.0000074412656,0.000012668401,0.000025223944,1.108041e-8,0.98170245,0.012895271,0.0045592887],"study_design_scores_gemma":[0.00006688339,0.00001840336,0.00026048924,0.0000056294393,0.000012331974,8.5782625e-7,5.6823734e-7,0.00048614334,6.589712e-8,0.23954031,0.75929505,0.00031329205],"about_ca_topic_score_codex":0.0010081357,"about_ca_topic_score_gemma":0.0017629283,"teacher_disagreement_score":0.74639976,"about_ca_system_score_codex":0.00008048985,"about_ca_system_score_gemma":0.000023901173,"threshold_uncertainty_score":0.99993175},"labels":[],"label_agreement":null},{"id":"W4240629367","doi":"10.1002/9781118786352.wbieg0744","title":"Restructuring","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Restructuring; Economic geography; Economic restructuring; State (computer science); Economic system; Economy; Political science; Economics","score_opus":0.012378055467393073,"score_gpt":0.2182781080939183,"score_spread":0.20590005262652522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240629367","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002660439,0.0025047006,0.00026776813,0.00038986796,0.0018134066,0.000086247484,0.0007194791,0.000032322216,0.99392015],"genre_scores_gemma":[0.017367871,0.027091507,0.0016730066,0.00009201026,0.0014812411,0.000027587752,0.00025252014,0.00027114042,0.9517431],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989046,0.0000039572055,0.00047446878,0.00040160323,0.00006446246,0.00015089917],"domain_scores_gemma":[0.9980246,0.000016761722,0.0013773894,0.0004911734,0.000030509033,0.00005958827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011686245,0.00019853239,0.00052074296,0.0010707506,0.00003930344,0.00004686161,0.000834746,0.00019374352,0.0036524779],"category_scores_gemma":[0.000056313158,0.00023138235,0.0004493297,0.000051760642,0.00012673413,0.000078695135,0.000112948524,0.00012942034,0.00023635729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018099956,0.000094353425,0.18967727,0.000076334894,0.001981874,0.00001660178,0.00003772779,0.00004068867,8.3469297e-7,0.37166986,0.42856964,0.007816727],"study_design_scores_gemma":[0.00017634052,0.000011116942,0.010842369,0.0000647897,0.000012202883,0.0000012621653,0.0000015829182,0.0000826173,0.0000010710511,0.027534537,0.9610489,0.0002231936],"about_ca_topic_score_codex":0.007680832,"about_ca_topic_score_gemma":0.00045920344,"teacher_disagreement_score":0.5324793,"about_ca_system_score_codex":0.000021637912,"about_ca_system_score_gemma":0.000015317732,"threshold_uncertainty_score":0.9989271},"labels":[],"label_agreement":null},{"id":"W4244100231","doi":"10.1002/9781118786352.wbieg1011","title":"Tobler's First Law of Geography","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Operationalization; Geography; Human geography; Economic geography; Cultural geography; Population; Sociology; Law; Political science; Epistemology; Demography","score_opus":0.011450880980429352,"score_gpt":0.2114167371752722,"score_spread":0.19996585619484286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244100231","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003813805,0.004414579,0.00027813183,0.000528627,0.0014949149,0.00016880478,0.00213189,0.000028858432,0.9905728],"genre_scores_gemma":[0.26924536,0.14794885,0.0049650064,0.0006041604,0.0032090659,0.00020357777,0.0016392906,0.0009834903,0.5712012],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818426,0.000007289235,0.00091582845,0.00054177875,0.00012647812,0.00022433286],"domain_scores_gemma":[0.99659693,0.000049973904,0.0024601512,0.0007054524,0.00009668005,0.00009078606],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002153512,0.0003145677,0.0009595305,0.0015559278,0.000065362925,0.000044918725,0.0011906388,0.0003021641,0.003551969],"category_scores_gemma":[0.00004300889,0.0003620041,0.0010584483,0.00012251013,0.00040780194,0.00013053344,0.00015981936,0.00016436687,0.00012403498],"study_design_candidate":"not_applicable","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":[0.000030111703,0.00028795746,0.30903646,0.00014868667,0.0028021138,0.00000666011,0.000037301113,0.00007121561,4.909649e-7,0.59129304,0.09502689,0.0012591128],"study_design_scores_gemma":[0.00035353313,0.000043653283,0.013102668,0.00015188419,0.00003915955,0.0000010040542,0.0000032944845,0.00009458077,0.0000027770607,0.0237165,0.9621626,0.00032835032],"about_ca_topic_score_codex":0.04002418,"about_ca_topic_score_gemma":0.0040876814,"teacher_disagreement_score":0.8671357,"about_ca_system_score_codex":0.000021070842,"about_ca_system_score_gemma":0.000020001076,"threshold_uncertainty_score":0.9998832},"labels":[],"label_agreement":null},{"id":"W4244858592","doi":"10.4312/dela.21.223-231","title":"Specialization in services: a Canadian example","year":2004,"lang":"en","type":"article","venue":"Dela","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tertiary sector of the economy; Population; Primary sector of the economy; Agriculture; Economic geography; Per capita income; Service (business); Per capita; Public sector; Private sector; Geography; Business; Economic growth; Regional science; Economics; Economy; Marketing","score_opus":0.028665040396157956,"score_gpt":0.18644006453188922,"score_spread":0.15777502413573125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244858592","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":[0.89670026,0.00048544526,0.0033037253,0.0031492799,0.00023020721,0.00012813977,0.00007999463,0.000014832055,0.09590808],"genre_scores_gemma":[0.99845254,0.00012158858,0.00023929418,0.0008345612,0.00008048293,0.0000071055715,0.000057655412,0.000009369951,0.00019738996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932754,0.0000024906462,0.00028753624,0.0002020773,0.0000116180245,0.00016875619],"domain_scores_gemma":[0.9996822,0.000004556366,0.00007862782,0.0001355277,0.000010216438,0.0000888912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013339259,0.000063651365,0.00016576996,0.00031768312,0.00004502002,0.000046714264,0.00011419852,0.000054073418,0.0003176074],"category_scores_gemma":[0.000005031017,0.000080869984,0.00005154984,0.00022868677,0.000010742655,0.000115228904,0.000010708219,0.00004374418,0.0007038717],"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":[0.0000017853882,0.000017843364,0.05967192,0.0000049718487,0.000012412281,0.0000069211837,0.00041811448,0.0076612853,9.753487e-7,0.9319527,0.00004633446,0.00020470482],"study_design_scores_gemma":[0.0008799854,0.00002568053,0.1270508,0.000018190969,0.0000039847246,0.000003404707,0.00012513429,0.012996316,0.000011407849,0.5467064,0.31181347,0.00036525328],"about_ca_topic_score_codex":0.82107127,"about_ca_topic_score_gemma":0.8877782,"teacher_disagreement_score":0.38524637,"about_ca_system_score_codex":0.00026637,"about_ca_system_score_gemma":0.000041400912,"threshold_uncertainty_score":0.90470815},"labels":[],"label_agreement":null},{"id":"W4247003821","doi":"10.1002/9781405166430.index","title":"Index","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Regional Economics and Spatial Analysis","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":"University of British Columbia","funders":"","keywords":"Index (typography); Library science; Geography; History; Art; Computer science; World Wide Web","score_opus":0.04567882948610524,"score_gpt":0.23755393785266168,"score_spread":0.19187510836655644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247003821","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016741801,0.0037713903,0.003161632,0.0020152023,0.0023915987,0.00010215791,0.00048032572,0.000011652281,0.98789865],"genre_scores_gemma":[0.0700055,0.0038422092,0.00008507501,0.0004958379,0.00086051744,0.00002367143,0.000282373,0.0000469104,0.9243579],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983652,0.0000042544775,0.0006882936,0.0006359634,0.000024147343,0.00028209825],"domain_scores_gemma":[0.9979084,0.000018198529,0.0010070509,0.00092784245,0.000028427985,0.000110053086],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021508204,0.0002732076,0.0009704026,0.00031527752,0.00020487433,0.00033685908,0.0007610785,0.00040355593,0.053552635],"category_scores_gemma":[0.000029403696,0.00030090878,0.00047644938,0.000046710098,0.00007944426,0.00014156538,0.00014083281,0.00027048792,0.21244678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035827277,0.000022023507,0.0007892937,0.000019758954,0.00022531083,0.0000020213972,0.000008934647,0.00008572762,1.2267519e-7,0.16453256,0.8337003,0.0006103969],"study_design_scores_gemma":[0.00015324238,0.0000132391515,0.00082292326,0.0000114424265,0.000006131496,0.0000011955552,0.0000021327926,0.0016200666,0.0000011080419,0.023603104,0.9733667,0.00039874212],"about_ca_topic_score_codex":0.006074643,"about_ca_topic_score_gemma":0.00034448627,"teacher_disagreement_score":0.15889415,"about_ca_system_score_codex":0.000098647906,"about_ca_system_score_gemma":0.000045073328,"threshold_uncertainty_score":0.9999443},"labels":[],"label_agreement":null},{"id":"W4247620638","doi":"10.31235/osf.io/yd3v2","title":"Entrepreneurial Migration","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Amenity; Silicon valley; Business; Entrepreneurship; Economic geography; Preference; Quality (philosophy); State (computer science); Track (disk drive); Industrial organization; Geography; Economics; Finance; Engineering; Microeconomics","score_opus":0.03442493267709592,"score_gpt":0.20666110223597517,"score_spread":0.17223616955887924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247620638","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":[0.8693941,0.0029239922,0.022142133,0.009735979,0.0026921364,0.00023560629,0.0001598437,0.000077345736,0.09263884],"genre_scores_gemma":[0.99111044,0.0015201707,0.0014558772,0.0004370827,0.0005464036,0.000035446665,0.0005264622,0.000024023333,0.0043441188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99828565,0.0000116641995,0.0007592048,0.0007413031,0.000026571786,0.00017563428],"domain_scores_gemma":[0.9988429,0.000021133324,0.00046067603,0.00055501016,0.00004284259,0.00007746401],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020103925,0.00020147997,0.00062082836,0.00019351576,0.000049562626,0.00034462687,0.00025742783,0.00026050542,0.0037090078],"category_scores_gemma":[0.000047985886,0.0002437845,0.00051432534,0.00008326976,0.0000244968,0.00008408431,0.00036040187,0.00024223089,0.00051106006],"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":[0.000024730089,0.00032899616,0.09046158,0.00012272263,0.0010855282,0.000029900704,0.00086706114,0.019102475,0.000036591275,0.8741377,0.011859926,0.0019428078],"study_design_scores_gemma":[0.0009319074,0.00005570835,0.02182311,0.0000717345,0.000094572555,0.000007654662,0.00020883614,0.20823321,0.00045272746,0.5814954,0.18453734,0.002087798],"about_ca_topic_score_codex":0.006124177,"about_ca_topic_score_gemma":0.0016162401,"teacher_disagreement_score":0.29264227,"about_ca_system_score_codex":0.00009274497,"about_ca_system_score_gemma":0.000048268466,"threshold_uncertainty_score":0.99720174},"labels":[],"label_agreement":null},{"id":"W4247831615","doi":"10.1002/9781118786352.wbieg0517","title":"Skill","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Deskilling; Sociology; Human geography; Creativity; Inequality; Economic geography; Social science; Epistemology; Positive economics; Economics; Psychology; Social psychology; Work (physics); Engineering; Mathematics","score_opus":0.010953461574130912,"score_gpt":0.2188184001496823,"score_spread":0.20786493857555138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247831615","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000942925,0.0031106789,0.00043538975,0.00056641875,0.0018949326,0.000099248544,0.001126286,0.00005369178,0.99261904],"genre_scores_gemma":[0.008009258,0.03084858,0.0010451194,0.00013616178,0.0011666415,0.000031767064,0.00026908552,0.0003235905,0.9581698],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988402,0.0000041557896,0.000504478,0.0004224762,0.00006880301,0.00015986641],"domain_scores_gemma":[0.99790126,0.000020392483,0.0014575766,0.00051255216,0.000040838015,0.0000673762],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013845356,0.00021525867,0.00058449607,0.0011048537,0.000036461544,0.00004426466,0.00088843086,0.0002174879,0.0038080015],"category_scores_gemma":[0.00006185236,0.00024851333,0.00055764004,0.00006037634,0.0001413689,0.000080523125,0.00010778451,0.00012636806,0.00061854767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009675793,0.00013353123,0.10029116,0.000037547932,0.0014259106,0.00000863047,0.00002990161,0.000013715231,1.7545649e-7,0.2854502,0.60858893,0.004010599],"study_design_scores_gemma":[0.00020251301,0.000015468424,0.00715282,0.00005834262,0.000014921132,9.968808e-7,0.0000021109813,0.000091441885,5.2318205e-7,0.021240272,0.9709752,0.00024535143],"about_ca_topic_score_codex":0.007840615,"about_ca_topic_score_gemma":0.00053786114,"teacher_disagreement_score":0.3623863,"about_ca_system_score_codex":0.000021921143,"about_ca_system_score_gemma":0.00001728756,"threshold_uncertainty_score":0.9999967},"labels":[],"label_agreement":null},{"id":"W4249879790","doi":"10.1111/1467-9787.00255","title":"Book Reviews","year":2002,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Miller; Sociology; Urban economics; Economic history; Art history; History; Economics","score_opus":0.07851145290933623,"score_gpt":0.23849086031479713,"score_spread":0.1599794074054609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249879790","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09096831,0.6241443,0.011074389,0.12446616,0.0023199634,0.00036527216,0.000019099565,0.000022787957,0.14661974],"genre_scores_gemma":[0.848705,0.10859674,0.0048273345,0.018020038,0.0011597968,0.0000053568697,7.856987e-7,0.00002250713,0.018662456],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987004,0.0000078369985,0.00080609904,0.00019045308,0.00009884202,0.00019638066],"domain_scores_gemma":[0.99851835,0.000029012755,0.0010158228,0.00017049236,0.000096978445,0.00016932731],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013053945,0.00008458161,0.00038390176,0.00037425593,0.00013859167,0.00007976815,0.0005567648,0.000029216588,0.001710469],"category_scores_gemma":[0.00015108142,0.00007293615,0.0002785503,0.00046455616,0.00027579686,0.00072096515,0.00003532834,0.00012177029,0.0006319518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012010613,0.00017266178,0.0065299673,0.000012191133,0.000050998467,0.000021966767,0.00031844704,0.0003374212,0.0001900532,0.42488584,0.5604161,0.0070523596],"study_design_scores_gemma":[0.00014151286,0.000059488837,0.0019801697,0.000016319455,0.0000038071075,0.00007593262,0.0000071586073,0.0034616874,0.000013074698,0.0117689995,0.9823705,0.00010135692],"about_ca_topic_score_codex":0.000025646255,"about_ca_topic_score_gemma":0.0000027886686,"teacher_disagreement_score":0.7577367,"about_ca_system_score_codex":0.000118586904,"about_ca_system_score_gemma":0.00002484848,"threshold_uncertainty_score":0.99920213},"labels":[],"label_agreement":null},{"id":"W4281642658","doi":"10.21203/rs.3.rs-1643722/v1","title":"Urban agglomerations and innovation in developing economies","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Developing country; Economies of agglomeration; Urban agglomeration; Economies of scale; Economic geography; Developed country; Business; Economics; Population; Economic growth","score_opus":0.14164323414637242,"score_gpt":0.34774934734733737,"score_spread":0.20610611320096495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281642658","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":[0.9456745,0.00485346,0.0007812097,0.016917786,0.00032637417,0.00079988077,0.00054017175,0.000030056504,0.03007661],"genre_scores_gemma":[0.9915907,0.004325185,0.0006994874,0.00017521525,0.0001655731,0.0004648136,0.00050327956,0.00003383994,0.002041918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976975,0.00007541991,0.001036754,0.00074383983,0.000075506025,0.0003710373],"domain_scores_gemma":[0.99893826,0.00015537353,0.0003338646,0.00039973872,0.00011817335,0.000054560092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025596695,0.00017564015,0.0005267158,0.0035230045,0.0003212112,0.00033083893,0.00032166406,0.00017411578,0.0006982851],"category_scores_gemma":[0.00028311906,0.0002327541,0.00009015004,0.001226689,0.000100979756,0.00016549982,0.0010405104,0.0009113741,0.00008722237],"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":[0.0000073104325,0.000030624353,0.12304946,0.00012582209,0.000050710707,0.0000041474127,0.0004967127,0.0014892366,8.6777254e-7,0.8728061,0.001539701,0.0003993145],"study_design_scores_gemma":[0.00043187532,0.000069065834,0.15534478,0.0001135702,0.0000036046085,0.000001547684,0.00065310753,0.02416836,0.000007682824,0.4836353,0.3349463,0.00062478543],"about_ca_topic_score_codex":0.0031057931,"about_ca_topic_score_gemma":0.0011288926,"teacher_disagreement_score":0.3891708,"about_ca_system_score_codex":0.0008333839,"about_ca_system_score_gemma":0.00022622176,"threshold_uncertainty_score":0.94914365},"labels":[],"label_agreement":null},{"id":"W4281749704","doi":"10.1016/j.jum.2022.05.006","title":"Urban cultural vanguards why culture matters for urban success","year":2022,"lang":"en","type":"article","venue":"Journal of Urban Management","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"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":"Ontario Ministry of Research, Innovation and Science; European Commission; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Corporation for National and Community Service","keywords":"Relevance (law); Context (archaeology); Urban culture; Sociology; Regional science; Empirical research; Exploratory research; Value (mathematics); Economic geography; Geography; Social science; Political science; Computer science; Epistemology","score_opus":0.01955064321060776,"score_gpt":0.2187476498978705,"score_spread":0.19919700668726273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281749704","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":[0.38915923,0.05665959,0.13979268,0.25627834,0.0194302,0.0055312472,0.0030064508,0.00021603478,0.12992622],"genre_scores_gemma":[0.9547307,0.0007154876,0.0036440091,0.012303789,0.0012592212,0.000110559835,0.00008364193,0.00006834375,0.027084254],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818456,0.00002420151,0.0010442375,0.0003127536,0.00012565346,0.00030857828],"domain_scores_gemma":[0.9982849,0.00002240256,0.0012028022,0.00025373854,0.000080496626,0.00015568518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075026404,0.00020249056,0.00057816,0.00044626626,0.00030701607,0.00017867528,0.00066876767,0.00004076482,0.000622401],"category_scores_gemma":[0.00001839267,0.00019886953,0.0006617015,0.0002714034,0.0000372677,0.00032929718,0.00017938191,0.0002268772,0.000028796281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007615867,0.00012928377,0.010183536,0.000046025383,0.0006926054,0.00003556582,0.00067015464,0.0017421073,0.0000063709304,0.11597336,0.87012136,0.0003234465],"study_design_scores_gemma":[0.001055873,0.00023814892,0.002047291,0.000010894579,0.000091625334,0.000014700746,0.00081236527,0.0016950595,0.0000066733555,0.00671454,0.98703474,0.0002780722],"about_ca_topic_score_codex":0.00009200386,"about_ca_topic_score_gemma":0.000010734272,"teacher_disagreement_score":0.5655714,"about_ca_system_score_codex":0.00040326646,"about_ca_system_score_gemma":0.000015243714,"threshold_uncertainty_score":0.81096643},"labels":[],"label_agreement":null},{"id":"W4285221620","doi":"10.7202/1088302ar","title":"Identifier, détecter et localiser les centralités économiques : une proposition inspirée de l’algorithme DBSCAN","year":2022,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Proposition; Humanities; DBSCAN; Computer science; Cartography; Geography; Art; Artificial intelligence; Cluster analysis; Philosophy","score_opus":0.0373354064553456,"score_gpt":0.23966479595189036,"score_spread":0.20232938949654475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285221620","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":[0.73959243,0.018940803,0.006750632,0.22778642,0.003211882,0.00022214036,0.000661795,0.0000074664986,0.0028264245],"genre_scores_gemma":[0.98961157,0.0015150512,0.0013878703,0.003056608,0.00043419187,0.000010435943,0.000021339298,0.000026610034,0.00393631],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973883,0.00011677745,0.0010375164,0.0004770134,0.00016890051,0.0008114699],"domain_scores_gemma":[0.9972886,0.00006149451,0.0010848952,0.0002607199,0.0002757303,0.0010285944],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003042439,0.00022240108,0.00050739,0.0011727577,0.0011555158,0.0004948036,0.0010794228,0.00010347772,0.0015887124],"category_scores_gemma":[0.00010155762,0.00028128974,0.0004102295,0.0011246656,0.0012545886,0.0010440574,0.00008940883,0.000626285,0.000037665694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005450351,0.00016648973,0.07341634,0.00004618515,0.00025048215,0.00033556393,0.0026057276,0.042420443,0.00009737999,0.83118486,0.024894651,0.024527382],"study_design_scores_gemma":[0.00057828875,0.00040245138,0.05898361,0.000115157105,0.000057623787,0.000987781,0.0009220794,0.023407847,0.00007277974,0.080408484,0.8334421,0.0006217791],"about_ca_topic_score_codex":0.20017509,"about_ca_topic_score_gemma":0.07288397,"teacher_disagreement_score":0.8085475,"about_ca_system_score_codex":0.0031426172,"about_ca_system_score_gemma":0.0041301576,"threshold_uncertainty_score":0.99996394},"labels":[],"label_agreement":null},{"id":"W4285256592","doi":"10.2139/ssrn.4109630","title":"The Effect of Working from Home on the Agglomeration Economies of Cities: Evidence from Advertised Wages","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economies of agglomeration; Labour economics; Economics; Business; Economic geography; Economy; Demographic economics; Economic growth","score_opus":0.019804731608211383,"score_gpt":0.1978449897000313,"score_spread":0.17804025809181992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285256592","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":[0.97883755,0.016459769,0.00055376074,0.0033232658,0.00027475588,0.0001171845,0.00006244157,0.000003918309,0.00036734485],"genre_scores_gemma":[0.9866762,0.01279646,0.000007778165,0.00006578023,0.00015702326,0.000025494652,0.000008618633,0.000014101613,0.0002485229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831986,0.00013885072,0.0007257029,0.00021907744,0.00007553228,0.00052095915],"domain_scores_gemma":[0.9971749,0.0014874896,0.0010031911,0.00028946597,0.000018438635,0.00002652433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025334693,0.00013288965,0.0004174662,0.00012120098,0.0005599213,0.00007433941,0.0005685161,0.000033615222,0.00027522957],"category_scores_gemma":[0.0001453318,0.00009399586,0.0003190185,0.00014487581,0.000084337225,0.00012421489,0.00008185545,0.0006979546,0.000016033866],"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":[0.00085782283,0.00005228311,0.18838361,0.0000074349286,0.0021281939,0.0000013393022,0.0011242739,0.021961147,0.00024260106,0.76522464,0.00029271242,0.019723965],"study_design_scores_gemma":[0.00095559173,0.0013763097,0.020296864,0.00006581452,0.00008110619,0.000005459587,0.0019777964,0.014152404,0.00083298684,0.9559856,0.003955068,0.00031498718],"about_ca_topic_score_codex":0.0024113827,"about_ca_topic_score_gemma":0.0012727617,"teacher_disagreement_score":0.19076099,"about_ca_system_score_codex":0.00058574945,"about_ca_system_score_gemma":0.00016072548,"threshold_uncertainty_score":0.43065187},"labels":[],"label_agreement":null},{"id":"W4287958210","doi":"10.1108/cr-03-2022-0037","title":"OFDI activity and urban-regional development cycles: a co-evolutionary perspective","year":2022,"lang":"en","type":"article","venue":"Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Incentive; Foreign direct investment; Conceptualization; Economics; Originality; Value (mathematics); Perspective (graphical); Virtuous circle and vicious circle; Economic geography; Economic system; Development economics; Market economy; Macroeconomics; Political science","score_opus":0.043167971316502185,"score_gpt":0.28942632484356307,"score_spread":0.24625835352706088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287958210","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":[0.8594058,0.073514804,0.03980885,0.012449964,0.0032069513,0.00060535583,0.0009487965,0.00004236601,0.010017116],"genre_scores_gemma":[0.987588,0.008408745,0.0022329616,0.00089800614,0.00065574906,0.000030348972,0.0000714186,0.00003485615,0.000079930745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99652153,0.00037420442,0.0017858649,0.0005229417,0.00047955848,0.00031591454],"domain_scores_gemma":[0.9934762,0.0001566729,0.0038353612,0.00021624372,0.0020209714,0.0002945125],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022540493,0.0003950511,0.00122379,0.0004096953,0.00095164834,0.00025814172,0.0010396627,0.000066606015,0.0010258934],"category_scores_gemma":[0.0002514404,0.0004238579,0.0003847252,0.00069274585,0.00029627632,0.0014290694,0.0003363366,0.00065538724,0.00001839436],"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":[0.00048122377,0.0009892329,0.41161957,0.00025959933,0.0009236733,0.00033662375,0.00019959034,0.0041197604,0.000050595674,0.57859457,0.00015433178,0.0022712213],"study_design_scores_gemma":[0.0018411799,0.00035909197,0.8479876,0.0018763787,0.00009098731,0.0057177525,0.00082408707,0.0011372353,0.000012098742,0.02779115,0.11149592,0.0008665119],"about_ca_topic_score_codex":0.00018047434,"about_ca_topic_score_gemma":0.000027024704,"teacher_disagreement_score":0.5508034,"about_ca_system_score_codex":0.0022546083,"about_ca_system_score_gemma":0.00079368375,"threshold_uncertainty_score":0.9998873},"labels":[],"label_agreement":null},{"id":"W4292457941","doi":"10.1093/jeg/lbac024","title":"A new method for identifying and delineating spatial agglomerations with application to venture-backed startups","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Urban agglomeration; Venture capital; Economies of agglomeration; Economic geography; Investment (military); Cluster (spacecraft); Business; Industrial organization; Geography; Computer science; Economics; Microeconomics; Political science; Finance","score_opus":0.022640492763329103,"score_gpt":0.26479700740854983,"score_spread":0.24215651464522073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292457941","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16625124,0.00068440865,0.82928795,0.002933528,0.0002351704,0.0002889769,0.00012271738,0.0000055802984,0.00019044826],"genre_scores_gemma":[0.8779027,0.00008383106,0.12091418,0.0004844694,0.00040709536,0.00007432149,0.000028201597,0.000027048909,0.00007818749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860877,0.00001731324,0.0008800275,0.00028399052,0.000034745142,0.00017513562],"domain_scores_gemma":[0.99851406,0.00008359669,0.0010334721,0.00015522243,0.000049845512,0.00016382942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008533895,0.00012759383,0.000469133,0.0006763045,0.00028769267,0.00012318685,0.00020153576,0.000030086156,0.00013972376],"category_scores_gemma":[0.000018651237,0.00014178597,0.00026286303,0.00016340033,0.000014086589,0.00019423735,0.00005980869,0.00013709815,0.000007602346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010129674,0.0002344356,0.18620363,0.00006922456,0.00229486,0.000008034666,0.002050145,0.46313813,0.000354054,0.26201606,0.0052855844,0.07733287],"study_design_scores_gemma":[0.007160002,0.0028159686,0.050887767,0.000043843924,0.0003765257,0.00024657266,0.0016726275,0.3648257,0.00017268654,0.2610646,0.30926123,0.0014724665],"about_ca_topic_score_codex":0.0018385856,"about_ca_topic_score_gemma":0.0006377999,"teacher_disagreement_score":0.71165144,"about_ca_system_score_codex":0.00012681504,"about_ca_system_score_gemma":0.000066862536,"threshold_uncertainty_score":0.57818645},"labels":[],"label_agreement":null},{"id":"W4293581656","doi":"10.1016/j.scs.2022.104157","title":"Scaling law reveals unbalanced urban development in China","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; East China Normal University; Sun Yat-sen University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"China; Scaling law; Scaling; Development (topology); Economic geography; Political science; Geography; Law; Mathematics; Geometry","score_opus":0.01019376695345444,"score_gpt":0.18470798529214594,"score_spread":0.1745142183386915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293581656","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":[0.97079694,0.0025621373,0.00028852213,0.0011799199,0.00007830943,0.00016803567,0.00003203807,0.000019051035,0.024875024],"genre_scores_gemma":[0.9875596,0.00033417536,0.00035920698,0.0008158017,0.00004325833,0.000082343955,0.000028297787,0.000014621728,0.01076268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987963,0.000014324689,0.0004471301,0.00032427983,0.000038729067,0.000379241],"domain_scores_gemma":[0.99960446,0.000027399952,0.00015744865,0.00013382548,0.000019423102,0.00005744036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075699494,0.00012012318,0.00035246546,0.00007544447,0.0006957807,0.000093632225,0.00014117082,0.000044116543,0.00024591273],"category_scores_gemma":[0.000013082983,0.00014835253,0.00013603334,0.00021896687,0.000073826326,0.00014327899,0.00022620367,0.00017233838,0.000004043447],"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":[0.0000063937987,0.000029915609,0.022245241,0.000059853068,0.000048925922,0.0000057858383,0.006993646,0.0014022293,9.358563e-7,0.96777016,0.0013079504,0.00012898394],"study_design_scores_gemma":[0.0010922914,0.000060141065,0.04485619,0.000010869224,0.000007067624,0.000004090585,0.047919434,0.012948551,0.000008727463,0.31827277,0.5741705,0.000649375],"about_ca_topic_score_codex":0.0036135297,"about_ca_topic_score_gemma":0.000045939003,"teacher_disagreement_score":0.6494974,"about_ca_system_score_codex":0.00043886452,"about_ca_system_score_gemma":0.000043290987,"threshold_uncertainty_score":0.604964},"labels":[],"label_agreement":null},{"id":"W4295249790","doi":"10.1002/gsj.1456","title":"Locational strategy: Understanding location in economic geography and corporate strategy","year":2022,"lang":"en","type":"article","venue":"Global Strategy Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Embeddedness; Strategic management; Key (lock); Business; Space (punctuation); Competitive advantage; Field (mathematics); Marketing; Knowledge management; Industrial organization; Computer science; Sociology","score_opus":0.07601783545039618,"score_gpt":0.2345816737362652,"score_spread":0.158563838285869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295249790","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":[0.9628373,0.004670328,0.007942242,0.001449089,0.0004456396,0.00021704679,0.00044651242,0.0000230197,0.021968815],"genre_scores_gemma":[0.9988778,0.00064686936,0.000059881117,0.00010965087,0.00013083234,0.00001736095,0.00006572192,0.0000149464595,0.00007691656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980012,0.000059026854,0.0009907507,0.00046714526,0.00008076425,0.00040110465],"domain_scores_gemma":[0.99865896,0.00002532816,0.00092946517,0.0001586665,0.000033705244,0.00019385392],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093177956,0.00022259189,0.00042572236,0.0003819124,0.0005286196,0.0004389514,0.00029234277,0.000079666366,0.00097052444],"category_scores_gemma":[0.000007756672,0.000277264,0.0001443655,0.0004582755,0.00011235467,0.0004724048,0.0000797328,0.0003991315,0.000054642325],"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":[0.000040479405,0.000056712008,0.11830439,0.0000056180643,0.00008920999,0.000020240273,0.000017718354,0.24747215,0.0000011322901,0.6324572,0.00027434324,0.0012608116],"study_design_scores_gemma":[0.000971153,0.00028774573,0.14369276,0.000007076964,0.000012831298,0.0002300915,0.0010801482,0.041125745,6.8452874e-7,0.81135416,0.0008672825,0.00037030847],"about_ca_topic_score_codex":0.002020174,"about_ca_topic_score_gemma":0.0010152777,"teacher_disagreement_score":0.20634641,"about_ca_system_score_codex":0.0014289564,"about_ca_system_score_gemma":0.00027715575,"threshold_uncertainty_score":0.99996793},"labels":[],"label_agreement":null},{"id":"W4297825692","doi":"10.48550/arxiv.1508.00511","title":"Mod\\\\'{e}lisation spatiale de la formation des agglom\\\\'{e}rations dans la\\n zone alg\\\\'{e}roise","year":2015,"lang":"fr","type":"preprint","venue":"arXiv (Cornell University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Université Laval; Princeton University; Purdue University","keywords":"Centripetal force; Economies of agglomeration; Nonlinear system; Urban agglomeration; Economics; Economic geography; Geography; Economy; Mathematics; Physics; Mechanics; Microeconomics","score_opus":0.08774957921677352,"score_gpt":0.17890244689261497,"score_spread":0.09115286767584145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297825692","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":[0.5497144,0.00038003133,0.4232145,0.0003430157,0.00027124776,0.00024900373,0.00035854106,0.00004703981,0.025422204],"genre_scores_gemma":[0.98038036,0.00523129,0.0020684619,0.00008081762,0.0002483079,0.000008554653,0.0005419005,0.000059194426,0.011381088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970601,0.00033528532,0.0009134898,0.0010766144,0.000053410105,0.00056105194],"domain_scores_gemma":[0.9970022,0.00028914126,0.0012447594,0.00082647376,0.0002658462,0.00037161662],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015734088,0.00051109656,0.0008557989,0.00065536576,0.000490238,0.00035190023,0.0007331746,0.00078100304,0.00035768404],"category_scores_gemma":[0.00018430251,0.000756224,0.0006174497,0.0006696872,0.00072916376,0.0012649193,0.00041016244,0.0006045992,0.0006277466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043796026,0.00020685652,0.024093818,0.000068201865,0.00023720873,0.00004579464,0.0016613164,0.5043225,0.000015667407,0.46803612,0.0006194206,0.0006492681],"study_design_scores_gemma":[0.0008254067,0.00006409677,0.017797641,0.0000823829,0.00020622039,0.000019623023,0.00075261865,0.71612275,0.00003392025,0.24594761,0.017482737,0.0006649929],"about_ca_topic_score_codex":0.010999216,"about_ca_topic_score_gemma":0.006089063,"teacher_disagreement_score":0.43066597,"about_ca_system_score_codex":0.0025408035,"about_ca_system_score_gemma":0.00034453845,"threshold_uncertainty_score":0.9994889},"labels":[],"label_agreement":null},{"id":"W4297852729","doi":"","title":"Weak ties that bind : do commutes bind Montreal's Central and suburban economies ?","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Chemistry; Economic geography; Geography","score_opus":0.020342383821839758,"score_gpt":0.19304985417131018,"score_spread":0.17270747034947043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297852729","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":[0.70571786,0.021493735,0.012742989,0.03605335,0.0004436753,0.0006434397,0.0008392147,0.00016850582,0.22189721],"genre_scores_gemma":[0.973872,0.013224987,0.0038007665,0.00017328106,0.000059172737,0.000041118936,0.00051768,0.000053981857,0.00825701],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966941,0.0006023585,0.0009855251,0.0011040603,0.00008506826,0.00052891584],"domain_scores_gemma":[0.9959939,0.0005833156,0.0011478548,0.0016858614,0.00029960804,0.00028942665],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0028263854,0.0004909834,0.0010143602,0.00047941235,0.00041082996,0.0011436706,0.0010747114,0.00040023617,0.00028422463],"category_scores_gemma":[0.00027194,0.0005814564,0.00042478196,0.00017873102,0.00034292848,0.00027229966,0.00090866076,0.0005893008,0.00007920516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022438893,0.0003953356,0.08649045,0.00012482538,0.00045092878,0.000004199035,0.004872759,0.00063973473,0.000013025213,0.8807712,0.0028678775,0.023347184],"study_design_scores_gemma":[0.0018243578,0.0000037301197,0.26576498,0.0011148539,0.00015860051,0.000019649113,0.00052560226,0.08744568,0.0013313134,0.52776515,0.11161567,0.0024303957],"about_ca_topic_score_codex":0.0143691655,"about_ca_topic_score_gemma":0.011283516,"teacher_disagreement_score":0.35300606,"about_ca_system_score_codex":0.00020769908,"about_ca_system_score_gemma":0.00010248742,"threshold_uncertainty_score":0.99989325},"labels":[],"label_agreement":null},{"id":"W4297980693","doi":"10.21799/frbp.wp.2017.03","title":"Natural Amenities, Neighborhood Dynamics, and Persistence in the Spatial Distribution of Income","year":2017,"lang":"en","type":"report","venue":"Working paper","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Persistence (discontinuity); Natural (archaeology); Distribution (mathematics); Spatial distribution; Dynamics (music); Geography; Economic geography; Psychology; Mathematics; Geology; Remote sensing; Archaeology","score_opus":0.04168373154389356,"score_gpt":0.22889519146653692,"score_spread":0.18721145992264338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297980693","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2569519,0.06310136,0.0018818175,0.0095983585,0.0074011884,0.0014596459,0.0033148418,0.00005337844,0.65623754],"genre_scores_gemma":[0.99260414,0.0047053047,0.00001779851,0.00007369182,0.00029528415,0.000018068738,0.000499395,0.000020195686,0.0017661228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984192,0.000023027442,0.0007823291,0.00043704046,0.00010166898,0.00023670791],"domain_scores_gemma":[0.99814,0.000097417826,0.0011474175,0.000525606,0.00005580366,0.00003378652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000894487,0.00023206758,0.0007582019,0.00016277505,0.00017508992,0.00015788537,0.0004881111,0.00022762526,0.000047096873],"category_scores_gemma":[0.00016156629,0.00020801043,0.00026359825,0.00009462474,0.00019863766,0.00010922799,0.00012109037,0.00042674306,0.000009652022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056480872,0.00014190724,0.7503863,0.00030775144,0.00058220676,0.00003296647,0.0010645806,0.0001003406,0.0000012116184,0.19983068,0.0011672254,0.04632836],"study_design_scores_gemma":[0.00046646997,0.00006489511,0.76970005,0.00042873598,0.00008920004,0.000032913707,0.00025505666,0.015101757,4.5386503e-7,0.016014315,0.19712384,0.00072231697],"about_ca_topic_score_codex":0.015771963,"about_ca_topic_score_gemma":0.009907722,"teacher_disagreement_score":0.7356522,"about_ca_system_score_codex":0.00038671357,"about_ca_system_score_gemma":0.000117297175,"threshold_uncertainty_score":0.9907821},"labels":[],"label_agreement":null},{"id":"W4299994610","doi":"","title":"Vers une nouvelle forme urbaine ? Desserrement et diffusion de l'emploi dans la région métropolitaine de Montréal","year":2008,"lang":"fr","type":"other","venue":"Cairn.info","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","score_opus":0.011328192213619189,"score_gpt":0.1980135787140974,"score_spread":0.1866853865004782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299994610","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2645552,0.0068096365,0.04180964,0.015677894,0.0008116426,0.0006253894,0.00058731716,0.000081842285,0.66904145],"genre_scores_gemma":[0.25919628,0.031308293,0.0029043402,0.0011032227,0.0006391727,0.00009214919,0.00037217085,0.00030351037,0.7040809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968246,0.00007247873,0.0012133637,0.00083658175,0.000112844755,0.00094008225],"domain_scores_gemma":[0.99771935,0.00014693769,0.0009825209,0.0006764888,0.00006715891,0.0004075551],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005937497,0.0006724359,0.0012543877,0.000595184,0.00034800608,0.00013670605,0.0005654468,0.00067114906,0.00444133],"category_scores_gemma":[0.00011772578,0.0008032292,0.00081100117,0.00035872078,0.0003403239,0.00020172591,0.00020967527,0.00044798965,0.0009193078],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018913906,0.0008086073,0.11462984,0.0002331593,0.0012171207,0.0002465598,0.01252446,0.013396645,0.000102144615,0.7965496,0.056230195,0.0038725282],"study_design_scores_gemma":[0.0015349922,0.00023413677,0.031939246,0.00013925815,0.000118998694,0.000074486095,0.0006501496,0.043754302,0.000027510743,0.0057310616,0.9148659,0.00092992093],"about_ca_topic_score_codex":0.24846227,"about_ca_topic_score_gemma":0.08689906,"teacher_disagreement_score":0.8586357,"about_ca_system_score_codex":0.0075956625,"about_ca_system_score_gemma":0.000350418,"threshold_uncertainty_score":0.9998586},"labels":[],"label_agreement":null},{"id":"W4301047437","doi":"","title":"Zipf’s law and Canadian urban growth","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Zipf's law; Economic geography; Law; Economics; Political science; Mathematics; Statistics","score_opus":0.01506877722393305,"score_gpt":0.18266422967956727,"score_spread":0.16759545245563423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301047437","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10112279,0.0041563455,0.032101117,0.054154597,0.00042236588,0.00040592044,0.0005402249,0.000101363985,0.8069953],"genre_scores_gemma":[0.98789656,0.00110959,0.0041867723,0.00089276774,0.000049608807,0.0000328507,0.00036155555,0.000041062634,0.005429257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977585,0.00041990154,0.0006314889,0.0008037111,0.000051908428,0.00033448826],"domain_scores_gemma":[0.9972165,0.00029140804,0.0005464318,0.0011421201,0.00044118386,0.00036231457],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003101337,0.00026693373,0.00056241435,0.0003291158,0.00033248882,0.00049641664,0.00072746404,0.00029398262,0.00024327882],"category_scores_gemma":[0.00039041272,0.00033526748,0.00022391873,0.0001439817,0.00021427003,0.00009954237,0.0004902697,0.00039805428,0.00018500158],"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":[0.00000135228,0.000038715305,0.00881418,0.000040625913,0.00007993834,0.0000011925313,0.00079994,0.000027413622,0.0000027887554,0.9882598,0.0013010091,0.00063304085],"study_design_scores_gemma":[0.00062069023,7.0873944e-7,0.016344761,0.00044911916,0.000055856803,0.0000074645222,0.000039682232,0.08225128,0.0004261834,0.50378776,0.39478302,0.0012334889],"about_ca_topic_score_codex":0.48676157,"about_ca_topic_score_gemma":0.43143463,"teacher_disagreement_score":0.88677377,"about_ca_system_score_codex":0.00018113472,"about_ca_system_score_gemma":0.0001272844,"threshold_uncertainty_score":0.99990994},"labels":[],"label_agreement":null},{"id":"W4303431367","doi":"10.7202/1092249ar","title":"Ping times: Relating economic growth to internet connectivity","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Sine qua non; Business; Internet access; Telecommunications; Economics; Computer science; Political science","score_opus":0.03102016836795008,"score_gpt":0.20727414030152033,"score_spread":0.17625397193357026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303431367","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":[0.96369743,0.00050250645,0.0022530907,0.015778396,0.0009605032,0.000093213224,0.00006340913,0.00000465255,0.016646823],"genre_scores_gemma":[0.9974094,0.000011758698,0.0005548405,0.001280783,0.00014371515,0.000004313026,0.0000015838604,0.000010241286,0.00058334327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986164,0.00001931666,0.0005984162,0.00032079444,0.00008088907,0.000364167],"domain_scores_gemma":[0.99844193,0.00006719905,0.00057481264,0.00015399403,0.00008339048,0.0006786699],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001935388,0.00010526446,0.00031936672,0.0010877602,0.00056341774,0.00015702574,0.0008489077,0.00002329389,0.001091481],"category_scores_gemma":[0.00020785585,0.00012539868,0.00017736037,0.0005118066,0.00021107515,0.0004422856,0.0000891881,0.00024278923,0.00013158744],"study_design_candidate":"theoretical_or_conceptual","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":[0.000012169373,0.000011205947,0.06636413,0.0000024784945,0.000043370295,0.000034043955,0.00075620454,0.013515091,0.000022156231,0.9097138,0.009052279,0.00047307974],"study_design_scores_gemma":[0.00092921854,0.0008060058,0.08119614,0.000059555754,0.00002405004,0.0009056577,0.0010776003,0.0459548,0.00009674082,0.29449448,0.57331246,0.0011432851],"about_ca_topic_score_codex":0.039091557,"about_ca_topic_score_gemma":0.010875681,"teacher_disagreement_score":0.6152193,"about_ca_system_score_codex":0.0015971591,"about_ca_system_score_gemma":0.0011560088,"threshold_uncertainty_score":0.99982166},"labels":[],"label_agreement":null},{"id":"W4306249100","doi":"10.1093/jeg/lbac028","title":"Liability or opportunity? Reconceptualizing the periphery and its role in innovation","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":96,"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":"Australian Research Council","keywords":"Position (finance); Economic geography; Normative; Field (mathematics); Context (archaeology); Core (optical fiber); Liability; Sociology; Dual (grammatical number); Focus (optics); Actor–network theory; Regional science; Epistemology; Political science; Geography; Business; Social science; Law; Computer science","score_opus":0.050653573263814554,"score_gpt":0.23626066198200651,"score_spread":0.18560708871819195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306249100","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":[0.9887861,0.0024864653,0.00001948595,0.0031550315,0.00037006338,0.00011112481,0.00005861141,0.0000033644872,0.0050097443],"genre_scores_gemma":[0.9982762,0.00068181666,0.00007300788,0.0006036059,0.00011425261,0.000016520515,0.0000057910083,0.000011699443,0.00021714279],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981617,0.000056047847,0.0013440187,0.00022881218,0.00003109396,0.00017836982],"domain_scores_gemma":[0.99833363,0.000112693895,0.0012717849,0.00017554249,0.000038601072,0.000067735586],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024275554,0.00011822207,0.00045731943,0.0007944051,0.00020519858,0.000075690594,0.00031261673,0.000040801606,0.0024443793],"category_scores_gemma":[0.00010108373,0.00010464045,0.0001993487,0.00039692377,0.00006110349,0.00035329483,0.00011685727,0.00032392525,0.0000150131145],"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":[0.00021082303,0.00019366585,0.67370737,0.000019384912,0.00034538054,0.000014102498,0.0012698745,0.009787214,0.000020119045,0.30760068,0.0013411249,0.0054902793],"study_design_scores_gemma":[0.0025283122,0.0007086989,0.20761198,0.000022370854,0.000047167687,0.00020808536,0.0061285025,0.039881878,0.000024443038,0.26087222,0.48118404,0.00078230386],"about_ca_topic_score_codex":0.00038101003,"about_ca_topic_score_gemma":0.00015953348,"teacher_disagreement_score":0.4798429,"about_ca_system_score_codex":0.0001711214,"about_ca_system_score_gemma":0.00009764649,"threshold_uncertainty_score":0.9984675},"labels":[],"label_agreement":null},{"id":"W4309734220","doi":"10.1515/zfw-2022-0028","title":"Innovation, scaling-up, and local development in peripheral regions: do establishments scale-up locally?","year":2022,"lang":"en","type":"article","venue":"ZFW – Advances in Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economic geography; Scale (ratio); Business; Perspective (graphical); Local Development; Process (computing); Industrial organization; Set (abstract data type); Regional science; Marketing; Geography; Computer science; Cartography","score_opus":0.011053319089384665,"score_gpt":0.21566583426796307,"score_spread":0.2046125151785784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309734220","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":[0.9803876,0.008661614,0.0040099854,0.00074979756,0.0011556885,0.0003638609,0.00010327632,0.00002768447,0.004540487],"genre_scores_gemma":[0.9949748,0.0027757452,0.0010025225,0.0005263038,0.000053586675,0.0002779054,0.000098088065,0.000032165255,0.00025890005],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692875,0.000036992984,0.001574158,0.00091429264,0.000057924717,0.00048788087],"domain_scores_gemma":[0.99892616,0.000053330405,0.0005655808,0.00033702352,0.000028033237,0.000089862886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001012003,0.00028644848,0.0006705575,0.0018220984,0.00027350336,0.00013310074,0.0004206163,0.000086224376,0.00045423012],"category_scores_gemma":[0.000019843528,0.00038207957,0.00012799703,0.0009387705,0.00021782937,0.0007680354,0.0002769362,0.00032096257,0.00003724085],"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":[0.00007226214,0.00011411498,0.7910952,0.000024124862,0.00005637771,0.0000045149263,0.00058184273,0.05412182,4.3585962e-7,0.11381564,0.000109912275,0.040003773],"study_design_scores_gemma":[0.0038843534,0.00010765585,0.22073594,0.00005063435,0.000009229329,0.000019227602,0.0022055914,0.030530974,0.00001282591,0.1988959,0.542248,0.0012996885],"about_ca_topic_score_codex":0.0007320633,"about_ca_topic_score_gemma":0.0017502796,"teacher_disagreement_score":0.57035923,"about_ca_system_score_codex":0.00059368357,"about_ca_system_score_gemma":0.00007688262,"threshold_uncertainty_score":0.9998631},"labels":[],"label_agreement":null},{"id":"W4312977015","doi":"10.2139/ssrn.4299630","title":"Industrial Clusters in the Long Run: Evidence from Million-Rouble Plants in China","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"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 du Québec à Montréal","funders":"Economic and Social Research Council","keywords":"China; Economics; Geography","score_opus":0.03894699062529664,"score_gpt":0.22243999305372486,"score_spread":0.18349300242842823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312977015","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":[0.9843796,0.0072177337,0.00042188124,0.006999438,0.00032385826,0.00013751269,0.00003346353,0.000003702798,0.00048282318],"genre_scores_gemma":[0.99240977,0.0067274324,0.0000086991395,0.00028016185,0.00026233093,0.000024146604,0.00001536204,0.000013800577,0.00025830077],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976792,0.000114467206,0.00072476966,0.00031932327,0.00009462964,0.0010676399],"domain_scores_gemma":[0.9992055,0.00012782351,0.0004034176,0.00021433532,0.000006086589,0.000042811866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038336439,0.00013939873,0.00035580015,0.00042233773,0.0002595377,0.00010715449,0.0007346868,0.0000651036,0.00028338752],"category_scores_gemma":[0.0000636117,0.00013218782,0.00016849235,0.00041418753,0.00002660831,0.0002765323,0.0001010539,0.0021933666,0.000040221053],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036139405,0.00024581206,0.84584635,0.0000023831844,0.000232853,0.00006053901,0.002114161,0.038387664,0.0000045957577,0.10554788,0.00056029146,0.006636062],"study_design_scores_gemma":[0.003985743,0.00054363656,0.22101976,0.000056747023,0.000023400855,0.00024747057,0.0054274253,0.03247341,0.000003444353,0.7278402,0.0076504783,0.00072832],"about_ca_topic_score_codex":0.014577579,"about_ca_topic_score_gemma":0.022347484,"teacher_disagreement_score":0.6248266,"about_ca_system_score_codex":0.0015265016,"about_ca_system_score_gemma":0.0004023773,"threshold_uncertainty_score":0.9954921},"labels":[],"label_agreement":null},{"id":"W4319006834","doi":"10.3390/jrfm16020089","title":"What Can District Migration Rates Tell Us about London’s Functional Urban Area?","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renting; Geography; Economic geography; Market integration; Demographic economics; Human capital; Economics; Economic growth; Political science","score_opus":0.015780715565945916,"score_gpt":0.18966313650560648,"score_spread":0.17388242093966055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319006834","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":[0.9832578,0.004174669,0.009451564,0.0010746046,0.001227855,0.00011055763,0.00008181086,0.000011814842,0.00060934795],"genre_scores_gemma":[0.92949307,0.06870539,0.00011966663,0.00018319234,0.00038281726,0.0000071136833,0.00003206637,0.0000118431535,0.001064859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874294,0.000013360861,0.00073966687,0.00023148485,0.00007112584,0.00020141492],"domain_scores_gemma":[0.9989637,0.00004911685,0.0007030542,0.00012910533,0.000057589885,0.00009739641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055310933,0.00014455429,0.00039360582,0.0005452132,0.00017860749,0.0002368,0.00013446786,0.00006281234,0.00008537601],"category_scores_gemma":[0.00005571234,0.00014089984,0.00023237006,0.0004044666,0.000040952626,0.0003719019,0.000059521073,0.00014750403,0.000078311445],"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":[0.00017810338,0.00015937041,0.78017896,0.000057860594,0.0002676387,0.00009817789,0.0007849936,0.005065081,0.0000036105357,0.12346342,0.029979791,0.059763014],"study_design_scores_gemma":[0.0005384823,0.000081992046,0.7667043,0.000030571126,0.000047023757,0.0000050494928,0.0001577611,0.0029504874,0.000004609901,0.016496705,0.21281359,0.00016940614],"about_ca_topic_score_codex":0.00034819436,"about_ca_topic_score_gemma":0.0004937609,"teacher_disagreement_score":0.18283379,"about_ca_system_score_codex":0.00008676903,"about_ca_system_score_gemma":0.000016911166,"threshold_uncertainty_score":0.57457286},"labels":[],"label_agreement":null},{"id":"W4360592063","doi":"10.5267/j.dsl.2023.1.001","title":"A modified generalized estimating equation approach for simultaneous spatial durbin panel model: Case study of economic growth in ASEAN countries","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Openness to experience; Econometrics; Panel data; Gross domestic product; Economics; Autoregressive model; Simultaneous equations model; Order (exchange); Mathematics; Macroeconomics","score_opus":0.11747929549030317,"score_gpt":0.2987384243484328,"score_spread":0.18125912885812961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360592063","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":[0.6434204,0.0000061939327,0.355666,0.00031338178,0.00011912961,0.00037103327,0.000055858935,0.000014829694,0.000033154993],"genre_scores_gemma":[0.9828371,0.000009601959,0.016731827,0.00022782508,0.000052914133,0.00008911332,0.000020546766,0.000017955725,0.000013149799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976521,0.000017308654,0.0011103093,0.00074199773,0.00012324876,0.00035504243],"domain_scores_gemma":[0.99852663,0.00048103122,0.0005218185,0.00032636945,0.000059826965,0.00008432283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022297637,0.00016710727,0.000539412,0.0011731812,0.00025246417,0.00017422829,0.00043933812,0.000053019514,0.0000074982636],"category_scores_gemma":[0.00048190914,0.00017987998,0.0001233475,0.0006648875,0.00015404138,0.0003841767,0.00010995315,0.00007693969,0.000023361157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051945965,0.00007141205,0.0045042248,0.000009106622,0.000014311712,0.000034867186,0.0010868399,0.9851081,0.00005596755,0.008224537,0.00004613873,0.0007925863],"study_design_scores_gemma":[0.0012096644,0.00006450107,0.00035268758,0.000004915782,0.0000070784354,0.000010840092,0.00040119825,0.9870257,0.000023317907,0.010696644,0.0000049957794,0.00019846777],"about_ca_topic_score_codex":0.007816601,"about_ca_topic_score_gemma":0.0005428232,"teacher_disagreement_score":0.33941665,"about_ca_system_score_codex":0.00024468228,"about_ca_system_score_gemma":0.000056022407,"threshold_uncertainty_score":0.99879044},"labels":[],"label_agreement":null},{"id":"W4366721600","doi":"10.3138/cjpe.15.004","title":"Is the Bottom Line “Impact” or Profits? A Rejoinder","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Line (geometry); Economics; Mathematics; Geometry","score_opus":0.16445815606875808,"score_gpt":0.3337133497594052,"score_spread":0.16925519369064712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366721600","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":[0.9602477,0.0034920685,0.00029907367,0.027262185,0.00030425115,0.00093566295,0.00007862851,0.000007440693,0.0073729916],"genre_scores_gemma":[0.9963754,0.00019251005,0.00069703674,0.00079041073,0.00031518989,0.000038782855,0.000013275143,0.000015791411,0.0015616062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986998,0.00004122242,0.0007533466,0.00016552828,0.000083842446,0.0002562588],"domain_scores_gemma":[0.99869895,0.000031449552,0.0005169205,0.00021747871,0.00023473565,0.00030049033],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019760192,0.00011682824,0.00029153127,0.00027939593,0.00017962354,0.00022471533,0.00026439887,0.00008247696,0.012605739],"category_scores_gemma":[0.00015905533,0.00008172987,0.00028690533,0.00035355313,0.000068813046,0.00024520303,0.000003808049,0.00020505072,0.00027005686],"study_design_candidate":"design_other","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":[0.00014204803,0.00014024676,0.07114547,0.000016359932,0.0008837926,0.00002719562,0.0022874495,0.008338562,0.0000021115115,0.0120849395,0.02328697,0.88164485],"study_design_scores_gemma":[0.0018742387,0.0012260675,0.12361008,0.00005952551,0.00020949134,0.0001477361,0.00020314912,0.25460246,0.0000168126,0.075500324,0.5420537,0.0004964282],"about_ca_topic_score_codex":0.009256442,"about_ca_topic_score_gemma":0.01703353,"teacher_disagreement_score":0.88114846,"about_ca_system_score_codex":0.00034332412,"about_ca_system_score_gemma":0.00091273035,"threshold_uncertainty_score":0.997341},"labels":[],"label_agreement":null},{"id":"W4381851811","doi":"10.1002/cjas.1733","title":"The impact of institutional interactions on cluster response to innovation: The case of Montreal and neural machine translation","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Conceptualization; Construct (python library); Scholarship; Cluster (spacecraft); Institutionalism; Sociology; Political science; Economic geography; Computer science; Artificial intelligence; Politics; Economics; Law","score_opus":0.13289508485769316,"score_gpt":0.33223537827468314,"score_spread":0.19934029341698997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381851811","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":[0.9892414,0.00017833995,0.000422884,0.008377763,0.00016491677,0.00012710382,0.00023006274,0.0000015581847,0.0012559552],"genre_scores_gemma":[0.9995072,0.000021152908,0.00027454967,0.00006611136,0.00004924363,0.000004678767,0.0000036978124,0.0000032504843,0.00007010427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986464,0.00008790869,0.0007551601,0.0001958885,0.0000447396,0.00026990872],"domain_scores_gemma":[0.9982273,0.00054198294,0.0006525496,0.00011049159,0.00021010567,0.00025755054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003334238,0.000105986495,0.00021189757,0.0007753126,0.0011893554,0.00018600452,0.0003313527,0.000033321558,0.00002461954],"category_scores_gemma":[0.00083134667,0.0000737422,0.00011184544,0.0018839372,0.001990891,0.00037064872,0.000008963908,0.0001207183,0.000001542665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001135637,0.00009461995,0.05662954,0.000043686763,0.0002770247,0.0005546666,0.032292813,0.20488766,0.0006425158,0.6701361,0.00067063945,0.03263511],"study_design_scores_gemma":[0.00074495963,0.011655842,0.36374566,0.00015119338,0.00004131165,0.0047261887,0.010693038,0.51685256,0.00028754096,0.08906299,0.0015677513,0.00047094235],"about_ca_topic_score_codex":0.035575904,"about_ca_topic_score_gemma":0.5126657,"teacher_disagreement_score":0.5810731,"about_ca_system_score_codex":0.00027893813,"about_ca_system_score_gemma":0.0015802999,"threshold_uncertainty_score":0.9708463},"labels":[],"label_agreement":null},{"id":"W4382363339","doi":"10.21203/rs.3.rs-3065065/v1","title":"Urban agglomeration and innovation in developing economies","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Regional Economics and Spatial Analysis","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":"Simon Fraser University","funders":"","keywords":"Economies of agglomeration; Economic geography; Business; Economics; Economic growth","score_opus":0.19108828393887187,"score_gpt":0.35358062161258696,"score_spread":0.1624923376737151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382363339","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":[0.9710577,0.002089174,0.0015033103,0.01783939,0.00038195823,0.0007245487,0.0002443086,0.000054549364,0.006105058],"genre_scores_gemma":[0.991011,0.0053407676,0.000520907,0.00009690617,0.00025332338,0.00023046909,0.00040760124,0.00004401302,0.0020949761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976534,0.000052448206,0.0010719626,0.0007679453,0.00006881453,0.00038542817],"domain_scores_gemma":[0.9989368,0.0001643997,0.00033581036,0.00034894084,0.00016171281,0.000052347335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029412191,0.00018107319,0.0005395661,0.0037867257,0.00015465263,0.0003844001,0.00024608578,0.0002839694,0.00006131618],"category_scores_gemma":[0.00041599254,0.00022882945,0.00007886985,0.0012105642,0.000093869945,0.0001825952,0.0006122071,0.0006392439,0.0003766856],"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":[0.000009775711,0.000018317793,0.1473859,0.00025368162,0.000055778044,0.0000051719558,0.0004461915,0.0009812056,0.0000020560988,0.8480625,0.0020794163,0.00069998635],"study_design_scores_gemma":[0.00037533988,0.000047483187,0.2718602,0.00030733563,0.0000027063797,7.8917833e-7,0.00026557612,0.04464073,0.000021437076,0.6377141,0.044238,0.00052629906],"about_ca_topic_score_codex":0.0036864204,"about_ca_topic_score_gemma":0.0020317228,"teacher_disagreement_score":0.21034844,"about_ca_system_score_codex":0.00056341605,"about_ca_system_score_gemma":0.00015002507,"threshold_uncertainty_score":0.9331394},"labels":[],"label_agreement":null},{"id":"W4384447453","doi":"10.31235/osf.io/d93sj","title":"Frontier workers, and the seedbeds of inequality and prosperity","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"American Association of Geographers; National Science Foundation","keywords":"Prosperity; Frontier; Optimal distinctiveness theory; Inequality; Work (physics); Economic inequality; Wage inequality; Economics; Economic geography; Work Intensity; Labour economics; Development economics; Wage; Demographic economics; Geography; Economic growth","score_opus":0.055757671661040654,"score_gpt":0.2306239580616396,"score_spread":0.17486628640059895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384447453","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":[0.96017706,0.0103860805,0.0029513151,0.012295304,0.00051336805,0.00074514886,0.00040474554,0.000030179093,0.012496803],"genre_scores_gemma":[0.9944392,0.0027456065,0.00051248085,0.00011386154,0.00007357995,0.0000606609,0.00003029587,0.000017058832,0.0020072907],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985507,0.000029887466,0.00075002806,0.0004974688,0.000034965786,0.0001369402],"domain_scores_gemma":[0.9988459,0.00009141964,0.0005354745,0.0004309423,0.00004239917,0.00005388602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018638643,0.00017196922,0.0008668017,0.00013106182,0.000063683925,0.000104437095,0.00020271387,0.00018298338,0.00010618789],"category_scores_gemma":[0.00009992949,0.00013423932,0.0001948447,0.00008785862,0.00032334533,0.00004796901,0.0006322851,0.00023840589,0.00001560112],"study_design_candidate":"theoretical_or_conceptual","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":[0.00005351269,0.000025590718,0.60488445,0.00013141242,0.0004829382,4.1489838e-7,0.00045467468,0.00023272706,1.760157e-7,0.3912719,0.001473004,0.0009892287],"study_design_scores_gemma":[0.0008453304,0.000011121047,0.28572246,0.000026347474,0.000056643803,5.8816096e-7,0.00017111227,0.068836085,0.0000022963632,0.6413094,0.0027461895,0.00027245845],"about_ca_topic_score_codex":0.016128594,"about_ca_topic_score_gemma":0.00085924024,"teacher_disagreement_score":0.31916198,"about_ca_system_score_codex":0.000032750748,"about_ca_system_score_gemma":0.00002524851,"threshold_uncertainty_score":0.9904231},"labels":[],"label_agreement":null},{"id":"W4384559448","doi":"10.1007/s11156-023-01163-2","title":"Industry co-agglomeration, executive mobility and compensation","year":2023,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economies of agglomeration; Executive compensation; Economic geography; Industrial organization; Business; Compensation (psychology); Corporate finance; Economics; Microeconomics; Corporate governance; Finance","score_opus":0.06687864139468455,"score_gpt":0.3090341712481813,"score_spread":0.24215552985349673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384559448","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":[0.9419652,0.051025078,0.0004219388,0.0027322064,0.000049570725,0.0002449548,0.00012092841,0.000014959644,0.0034251132],"genre_scores_gemma":[0.84646714,0.15232816,0.00046816742,0.00051954243,0.000024173303,0.00002111969,0.000048125068,0.000008351251,0.000115198185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99892116,0.0000171553,0.0006125184,0.00029057811,0.00003166185,0.00012694951],"domain_scores_gemma":[0.9990708,0.00012873426,0.00057868264,0.000116921,0.00008375393,0.000021067603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009903624,0.000105172185,0.0005062409,0.00013009176,0.00011675148,0.000032532895,0.000064493106,0.00008912549,0.00003187509],"category_scores_gemma":[0.00022095657,0.0001108763,0.00006791614,0.0003728904,0.00011173205,0.00031732922,0.000037431346,0.00015511787,0.000050494615],"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":[0.0000071655295,0.000033034084,0.1337349,0.0022990787,0.00006777509,0.0000012311112,0.0003356437,0.00004933775,0.00003934328,0.85746443,0.001936781,0.004031302],"study_design_scores_gemma":[0.0006285923,0.00015845985,0.7782004,0.0043232413,0.00004942513,0.0000049234723,0.0006419439,0.032264166,0.0001260764,0.057700317,0.12521444,0.00068800786],"about_ca_topic_score_codex":0.0001947758,"about_ca_topic_score_gemma":0.000014441884,"teacher_disagreement_score":0.7997641,"about_ca_system_score_codex":0.000016444685,"about_ca_system_score_gemma":0.000014100532,"threshold_uncertainty_score":0.45214045},"labels":[],"label_agreement":null},{"id":"W4385589200","doi":"10.2139/ssrn.4531715","title":"Urban Pull: The Roles of Amenities and Employment","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economic geography; Business; Labour economics; Geography; Economics","score_opus":0.02984538668365575,"score_gpt":0.2187916141840732,"score_spread":0.18894622750041745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385589200","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":[0.88941246,0.076476045,0.0061611184,0.023020023,0.0009852853,0.00041404518,0.00027739062,0.00004370612,0.0032099225],"genre_scores_gemma":[0.9251876,0.069943406,0.000024288825,0.00009093996,0.000331498,0.000018233604,0.000015908936,0.00003776312,0.0043503935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99780333,0.000027926204,0.0008510186,0.0003340927,0.000058313544,0.0009253391],"domain_scores_gemma":[0.9985313,0.000064820786,0.000995064,0.0003074717,0.00004562768,0.000055756707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018870095,0.00021572024,0.0006149073,0.00029823443,0.0001719408,0.00015169484,0.00048795875,0.00013782436,0.00003022304],"category_scores_gemma":[0.000040293704,0.00018188261,0.00035742135,0.00009142281,0.00012621905,0.00006535956,0.0003054751,0.0015361203,0.000040748204],"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":[0.00001638984,0.000027972435,0.014061627,0.000019178373,0.001037545,0.0000011209813,0.0004828704,0.000688745,0.0000014357071,0.9806921,0.00053476915,0.0024362549],"study_design_scores_gemma":[0.00017724953,0.00009020955,0.0026801315,0.000027577964,0.000050634848,0.00002110103,0.0010165238,0.0018576959,0.0000046526684,0.9841717,0.009684528,0.00021799405],"about_ca_topic_score_codex":0.00179602,"about_ca_topic_score_gemma":0.007187991,"teacher_disagreement_score":0.035775103,"about_ca_system_score_codex":0.00041912188,"about_ca_system_score_gemma":0.00040224456,"threshold_uncertainty_score":0.74169576},"labels":[],"label_agreement":null},{"id":"W4385635138","doi":"10.1007/s11294-023-09874-x","title":"Applying the Lorenz Curve and Gini Coefficient to Measure the Population Distribution","year":2023,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of New Brunswick","funders":"","keywords":"Gini coefficient; Population; Lorenz curve; Metropolitan area; Urban agglomeration; Geography; Distribution (mathematics); Census; Population growth; Economics; Economic geography; Inequality; Suburbanization; Demographic economics; Economic inequality; Demography","score_opus":0.09098826563523421,"score_gpt":0.3590454261462697,"score_spread":0.2680571605110355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385635138","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":[0.9113662,0.0027037049,0.004491829,0.06169777,0.0019321066,0.0019757557,0.00062358176,0.000050068757,0.015158953],"genre_scores_gemma":[0.99654937,0.0018122421,0.000022878168,0.0001443379,0.00022932957,0.000633376,0.00012261604,0.000011605954,0.00047424744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986426,0.000049433667,0.0005088393,0.00040969154,0.00009868945,0.00029070067],"domain_scores_gemma":[0.99910945,0.00040448987,0.00013504138,0.00024325062,0.000052682433,0.000055107426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002858531,0.00009843452,0.00018713539,0.00034115117,0.00026634982,0.00021230518,0.0005370184,0.000042391293,0.000081074235],"category_scores_gemma":[0.00028605358,0.000076710465,0.00006876339,0.00037846703,0.000118564065,0.000290607,0.00023107669,0.0002286188,0.0006778993],"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":[0.000035180055,0.000017489405,0.09180148,0.000004463441,0.000032668908,0.0000013829921,0.00016764792,0.086510345,0.000002152489,0.7981078,0.0011011655,0.02221825],"study_design_scores_gemma":[0.00028381654,0.00002987955,0.10890395,0.000019512601,0.0000015336427,0.0000030279282,0.00034614577,0.23689792,0.000008084724,0.23930681,0.41403258,0.00016672818],"about_ca_topic_score_codex":0.0018332346,"about_ca_topic_score_gemma":0.0019569553,"teacher_disagreement_score":0.55880094,"about_ca_system_score_codex":0.00044736,"about_ca_system_score_gemma":0.000018106937,"threshold_uncertainty_score":0.87132496},"labels":[],"label_agreement":null},{"id":"W4385643970","doi":"10.1093/jeg/lbad018","title":"Frontier workers and the seedbeds of inequality and prosperity","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Prosperity; Frontier; Optimal distinctiveness theory; Inequality; Economic inequality; Work (physics); Economics; Economic geography; Wage inequality; Labour economics; Demographic economics; Development economics; Wage; Geography; Economic growth","score_opus":0.018796028417435395,"score_gpt":0.21184161075526417,"score_spread":0.19304558233782879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385643970","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":[0.9908616,0.004118969,0.00008056504,0.0028705627,0.00026867585,0.00011206015,0.00003968542,0.0000036051977,0.0016442726],"genre_scores_gemma":[0.9970457,0.0025503174,0.00016348257,0.000079215824,0.000095108204,0.000004847257,0.0000021392973,0.000008506371,0.000050683597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986284,0.000029832421,0.0009884835,0.00017725368,0.000028978611,0.00014708801],"domain_scores_gemma":[0.9985284,0.000111852874,0.0010633568,0.00017392944,0.000042780328,0.00007967529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026132257,0.00010955207,0.0006610498,0.00044822443,0.000072715346,0.00006371672,0.00017648285,0.00006135194,0.00006828389],"category_scores_gemma":[0.00005097542,0.00008753649,0.00033151102,0.00016692343,0.00032207448,0.00019031107,0.00006868868,0.00013028325,0.0000111409045],"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":[0.000091753864,0.000015749674,0.9498735,0.000015745512,0.00039798158,8.1244116e-7,0.00023906742,0.0003823668,0.0000011498504,0.04714475,0.00076741434,0.0010697056],"study_design_scores_gemma":[0.0020764081,0.0000654056,0.7935967,0.000015005416,0.00005945629,0.000010977567,0.0003696335,0.011331951,0.000005501029,0.18631598,0.0059966804,0.00015633409],"about_ca_topic_score_codex":0.00073865184,"about_ca_topic_score_gemma":0.0000712517,"teacher_disagreement_score":0.15627684,"about_ca_system_score_codex":0.000024735446,"about_ca_system_score_gemma":0.000022940732,"threshold_uncertainty_score":0.35696346},"labels":[],"label_agreement":null},{"id":"W4385950904","doi":"10.1080/00130095.2023.2244111","title":"The Changing Shape of Spatial Income Disparities in the United States","year":2023,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spatial inequality; Economic inequality; Inequality; Population; Convergence (economics); Immigration; Economic geography; Geography; Development economics; Demographic economics; Economic growth; Sociology; Economics; Demography","score_opus":0.016848712667840465,"score_gpt":0.20254719034420016,"score_spread":0.1856984776763597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385950904","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":[0.991714,0.00048031926,0.00007418297,0.00555452,0.00029336775,0.0001552424,0.00016321338,0.000021693219,0.0015434644],"genre_scores_gemma":[0.99659556,0.00273506,0.000011972343,0.00027124395,0.00009404003,0.000057830912,0.00012356904,0.00001567315,0.00009505679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985228,0.00003099461,0.00074955175,0.00027856627,0.000028048094,0.00039003132],"domain_scores_gemma":[0.9988685,0.00034539154,0.00036314884,0.0003728966,0.000013201451,0.00003681295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013710466,0.00014513536,0.00035495101,0.0011982835,0.00024103536,0.00012906808,0.0005610788,0.000056763038,0.00009947641],"category_scores_gemma":[0.000025882628,0.00011423952,0.00028577875,0.0007237459,0.00018305174,0.00010751466,0.00010491844,0.00012981554,0.00025298295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016298813,0.000021558555,0.7340216,0.000013768982,0.00013669829,0.0000018416816,0.00071649306,0.012808096,2.92629e-7,0.2510746,0.00039435265,0.00079440407],"study_design_scores_gemma":[0.00034287633,0.000041864725,0.6236661,0.000010517813,0.000008263167,0.0000010116195,0.0009366042,0.2281064,0.000003958376,0.118527494,0.02813038,0.00022451837],"about_ca_topic_score_codex":0.018784879,"about_ca_topic_score_gemma":0.0026362492,"teacher_disagreement_score":0.21529831,"about_ca_system_score_codex":0.00003593107,"about_ca_system_score_gemma":0.0000111400395,"threshold_uncertainty_score":0.9877491},"labels":[],"label_agreement":null},{"id":"W4385980172","doi":"10.1080/00130095.2023.2235050","title":"Related Variety and Regional Development: A Critique","year":2023,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Variety (cybernetics); Constructive; Economic geography; Regional science; Sociology; Economics; Computer science; Artificial intelligence","score_opus":0.018259239444404423,"score_gpt":0.2009198019066517,"score_spread":0.1826605624622473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385980172","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":[0.9697946,0.0011008882,0.0002250612,0.005263778,0.0003322655,0.00015460225,0.0000743625,0.00015858274,0.02289591],"genre_scores_gemma":[0.99580073,0.0014383311,0.0006397308,0.00052180456,0.00008499558,0.0000527737,0.00013033403,0.00003281818,0.0012984988],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99827623,0.000010609479,0.0007506047,0.00059927034,0.000019111587,0.0003441979],"domain_scores_gemma":[0.99926925,0.00006013928,0.00025107086,0.0002575972,0.000014251621,0.00014770063],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005767897,0.00018971371,0.00042416668,0.0007169864,0.0002231856,0.00011012603,0.00019911292,0.0001347959,0.0005222195],"category_scores_gemma":[0.000015033874,0.00023873414,0.00022720886,0.00029052992,0.000120555844,0.00022109358,0.000094505005,0.0001316969,0.0026139389],"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":[0.000011188607,0.00002826958,0.23170361,0.0000181627,0.0003818369,0.000006001199,0.00043549598,0.0005559888,0.0000028097202,0.7591788,0.0057089636,0.0019688779],"study_design_scores_gemma":[0.0006648329,0.000028013357,0.40688595,0.000010402768,0.000009891293,0.000011773889,0.00008206151,0.011756237,0.000008719061,0.2506632,0.32935432,0.0005246013],"about_ca_topic_score_codex":0.0006478764,"about_ca_topic_score_gemma":0.00012682322,"teacher_disagreement_score":0.5085156,"about_ca_system_score_codex":0.000054842287,"about_ca_system_score_gemma":0.00003226867,"threshold_uncertainty_score":0.9981626},"labels":[],"label_agreement":null},{"id":"W4386077448","doi":"10.2139/ssrn.4535417","title":"Why Zoning is Too Restrictive","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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; University of British Columbia Hospital","funders":"","keywords":"Zoning; Externality; Economics; Business; Public economics; Microeconomics; Law; Political science","score_opus":0.021177999753394863,"score_gpt":0.21631750967786284,"score_spread":0.195139509924468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386077448","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":[0.85705405,0.008406974,0.032489944,0.059016302,0.0009731631,0.00021614578,0.00007750031,0.00014847942,0.041617442],"genre_scores_gemma":[0.968846,0.01773793,0.000058382488,0.0017297461,0.00040019097,0.000007810403,0.000012082712,0.000033859957,0.011173975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975449,0.000014126494,0.0005307416,0.0003161445,0.00004989331,0.0015442094],"domain_scores_gemma":[0.99928087,0.000042572505,0.00035595242,0.00018920634,0.00003985874,0.00009154933],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013854225,0.00014286331,0.00033381113,0.0004995949,0.00028434946,0.00012532604,0.0003072952,0.00008191531,0.00016801213],"category_scores_gemma":[0.00006706132,0.00015604406,0.0002918003,0.0006154646,0.000031870255,0.00024908592,0.000053277232,0.0008331908,0.0013572398],"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":[0.000014054379,0.000019932833,0.01086462,0.0000018337039,0.00032535355,0.000005139197,0.00018208135,0.0004132635,0.0000069392636,0.9730373,0.0132779125,0.0018515856],"study_design_scores_gemma":[0.00032395223,0.00010425043,0.002785585,0.000004285497,0.000011304738,0.00003804407,0.00045802048,0.005820679,0.000008145419,0.8805996,0.10963185,0.00021424006],"about_ca_topic_score_codex":0.00097247853,"about_ca_topic_score_gemma":0.00040168237,"teacher_disagreement_score":0.111791976,"about_ca_system_score_codex":0.00067799527,"about_ca_system_score_gemma":0.0002563553,"threshold_uncertainty_score":0.99942034},"labels":[],"label_agreement":null},{"id":"W4387802608","doi":"10.1093/cjres/rsad034","title":"Relational hinterlands in the USA have become disconnected from major global centres","year":2023,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Disadvantaged; Global city; Economic geography; Disinvestment; Investment (military); Geography; Economic growth; Regional science; Business; Political science; Foreign direct investment; Economics","score_opus":0.03697464457936757,"score_gpt":0.23108303264571017,"score_spread":0.19410838806634262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387802608","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":[0.9781273,0.001141568,0.0015956976,0.013793485,0.00020542995,0.00008901053,0.00026977755,0.000006770972,0.0047709597],"genre_scores_gemma":[0.996247,0.0019770607,0.00017423023,0.000765828,0.00028396884,0.000005803203,0.000062050756,0.0000083703635,0.0004756741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986368,0.000031933672,0.00082649296,0.00024217354,0.000038154845,0.00022445046],"domain_scores_gemma":[0.99884975,0.00023171789,0.00059857155,0.00018296138,0.000042328815,0.00009468609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068459194,0.00014573513,0.0004614078,0.000120204175,0.00017280449,0.00013215779,0.00028038584,0.00010388615,0.00006763582],"category_scores_gemma":[0.000050110706,0.00012281319,0.0004856952,0.00025813887,0.00012451707,0.00035449053,0.00005530081,0.00023430104,0.000057951038],"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":[0.000018628773,0.00004734233,0.58849525,0.0000067956184,0.0003032138,0.00001764925,0.0009049683,0.00032307705,7.840777e-7,0.38479042,0.024909858,0.00018204133],"study_design_scores_gemma":[0.0012465931,0.00005864917,0.8535704,0.000028412047,0.000036980975,0.000050141316,0.002025054,0.012724169,0.0000014339336,0.05444821,0.075564206,0.0002457726],"about_ca_topic_score_codex":0.00091922056,"about_ca_topic_score_gemma":0.00061829924,"teacher_disagreement_score":0.3303422,"about_ca_system_score_codex":0.00014345528,"about_ca_system_score_gemma":0.000043514458,"threshold_uncertainty_score":0.50081766},"labels":[],"label_agreement":null},{"id":"W4388003970","doi":"10.1007/978-3-319-57365-6_415-1","title":"Labor Market and Urban Wage Premium","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","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":"Concordia University","funders":"","keywords":"Earnings; Wage; Economies of agglomeration; Economics; Productivity; Labour economics; Efficiency wage; Matching (statistics); Sorting; Macroeconomics; Economic growth","score_opus":0.026679015049671698,"score_gpt":0.18181215648923252,"score_spread":0.1551331414395608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388003970","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018462654,0.0016664846,0.00007510674,0.002024796,0.00030128873,0.00014591002,0.0007346745,0.00006545708,0.99480164],"genre_scores_gemma":[0.0032764634,0.006143037,0.00012962142,0.00049134524,0.00029756388,0.000010744772,0.0000848021,0.000091697926,0.9894747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983868,0.0000025126171,0.0006860997,0.00066892157,0.000030365534,0.00022527346],"domain_scores_gemma":[0.99898016,0.00006907785,0.0003987517,0.0003947244,0.000027787604,0.00012946597],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030094976,0.0002984562,0.0007708424,0.00037813524,0.00007668314,0.000113954025,0.00020808866,0.00031713865,0.0060735205],"category_scores_gemma":[0.000023343408,0.0003322448,0.0002611214,0.00004176469,0.00007801445,0.00008693719,0.00014854135,0.00020827728,0.002681032],"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":[0.000006000767,0.0000046947976,0.0012825457,0.000020962765,0.00021737983,0.0000074048717,0.000020548196,0.0000023912514,1.3221309e-7,0.93392426,0.06410082,0.00041284703],"study_design_scores_gemma":[0.0001349603,0.000022732722,0.0014847378,0.000018044973,0.000020646641,0.000001471747,0.000003693352,0.0014954903,4.1364206e-7,0.28261697,0.71381986,0.00038097423],"about_ca_topic_score_codex":0.00031283265,"about_ca_topic_score_gemma":0.00026738935,"teacher_disagreement_score":0.6513073,"about_ca_system_score_codex":0.00006425203,"about_ca_system_score_gemma":0.000017700419,"threshold_uncertainty_score":0.999913},"labels":[],"label_agreement":null},{"id":"W4388063274","doi":"10.1093/oso/9780198297116.003.0004","title":"Geography and Location","year":2004,"lang":"en","type":"book-chapter","venue":"International Trade","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Per capita; Population; Economic geography; Per capita income; Economy; Archaeology; Economics; Demography; Sociology","score_opus":0.025644540083699763,"score_gpt":0.20150350189000335,"score_spread":0.1758589618063036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388063274","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001903403,0.0029204397,0.00092267536,0.011965575,0.00058553676,0.00010760331,0.00032260327,0.00002582072,0.9829594],"genre_scores_gemma":[0.87666833,0.006765156,0.00060096587,0.001279161,0.00086029957,0.000017592258,0.00052569754,0.000083399835,0.11319937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896675,0.0000010511163,0.00048905343,0.00039779182,0.000045186778,0.00010013697],"domain_scores_gemma":[0.9993799,0.000019083674,0.00036484437,0.00015395791,0.000018620458,0.000063598025],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009571777,0.00018228134,0.00031637482,0.0003838841,0.000043974665,0.000083989864,0.00020280013,0.0001733049,0.0010285998],"category_scores_gemma":[0.000012041042,0.00022471978,0.00017128493,0.000027465154,0.00008099538,0.00010759691,0.00003765673,0.0001593533,0.0002580311],"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":[0.000004274947,0.000011495212,0.00068015535,0.000009001258,0.0002584458,0.0000035436542,0.000019969877,0.0001492567,3.309696e-7,0.99752516,0.00034853755,0.0009898344],"study_design_scores_gemma":[0.000174069,0.000014906937,0.0034512298,0.000032232052,0.000010953655,0.000005134633,0.0000011570736,0.0004917545,0.0000010263211,0.5926809,0.4029366,0.00020003844],"about_ca_topic_score_codex":0.000245005,"about_ca_topic_score_gemma":0.000040126633,"teacher_disagreement_score":0.876478,"about_ca_system_score_codex":0.00012522565,"about_ca_system_score_gemma":0.00002129592,"threshold_uncertainty_score":0.9998846},"labels":[],"label_agreement":null},{"id":"W4388170666","doi":"10.1093/oso/9780199248902.003.0002","title":"The Evolution of the Japanese Distribution Structure: An International and Institutional Perspective","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Distribution (mathematics); Quarter (Canadian coin); Agriculture; Table (database); Economics; Gross value added; Value (mathematics); Retail trade; Agricultural economics; International trade; Economic geography; Business; International economics; Geography; Economy; Commerce; Statistics; Mathematics","score_opus":0.01666605825295941,"score_gpt":0.19164661661923116,"score_spread":0.17498055836627174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388170666","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015798796,0.0039023268,0.0010876108,0.0064314464,0.0013367503,0.00037063632,0.004311907,0.00001847082,0.96674204],"genre_scores_gemma":[0.9168207,0.001010734,0.00001790461,0.000049955514,0.0002238664,0.0000033604178,0.00011297648,0.00001181942,0.08174868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902695,0.000005952606,0.00046684334,0.00033488485,0.000065509725,0.000099868266],"domain_scores_gemma":[0.99896973,0.00003826232,0.0005186414,0.0003073224,0.00012475779,0.00004126968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014821014,0.00016282393,0.00025764448,0.00007609736,0.0002782897,0.00007440302,0.0003472101,0.00016371364,0.00056381524],"category_scores_gemma":[0.0000552846,0.00011315719,0.0001933334,0.000035276338,0.00035181528,0.00017129561,0.00010017969,0.00018884419,0.00001959916],"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":[0.000008197246,0.000008865912,0.0007669695,0.000002186625,0.00016593195,1.9048068e-7,0.000080082085,0.0001437336,7.632957e-7,0.99838763,0.00019007367,0.00024535425],"study_design_scores_gemma":[0.00023586996,0.00003536325,0.016123803,0.000014919235,0.00003513672,0.000012737017,0.00014658253,0.0155671965,0.0000017958497,0.828501,0.13906808,0.00025754826],"about_ca_topic_score_codex":0.0022116532,"about_ca_topic_score_gemma":0.0010486665,"teacher_disagreement_score":0.9010219,"about_ca_system_score_codex":0.00065351493,"about_ca_system_score_gemma":0.000033881333,"threshold_uncertainty_score":0.6173381},"labels":[],"label_agreement":null},{"id":"W4388190593","doi":"10.1162/rest_a_01381","title":"Entrepreneurial Migration","year":2023,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Silicon valley; Track (disk drive); Sorting; Economic geography; Preference; State (computer science); Business; Entrepreneurship; Industrial organization; Economics; Microeconomics; Engineering; Finance; Computer science","score_opus":0.0359881093143081,"score_gpt":0.2338384232695281,"score_spread":0.19785031395522001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388190593","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63516927,0.2264022,0.01892392,0.079285875,0.0023438202,0.0020234361,0.008209908,0.00011454731,0.027527034],"genre_scores_gemma":[0.09421089,0.9033722,0.0009107786,0.00069937995,0.00010660946,0.00001780296,0.00014989666,0.000015439287,0.000516981],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896127,0.0000139619715,0.0006889223,0.0001987076,0.000011369247,0.00012576765],"domain_scores_gemma":[0.9991107,0.00013911455,0.00043634005,0.00024658555,0.000024585395,0.00004269864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000655598,0.000094617855,0.0004266573,0.00007915536,0.000071344926,0.000029099223,0.0001481293,0.000028134327,0.00013201125],"category_scores_gemma":[0.000105729945,0.000081804836,0.00009562914,0.000120382574,0.00007546956,0.000050174545,0.000056490524,0.00004803067,0.00020417606],"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":[0.0000032703176,0.000008431666,0.0010361762,0.00033385263,0.000057154633,3.239015e-7,0.000054187072,0.00022145441,5.874073e-7,0.9866888,0.0058494173,0.0057463627],"study_design_scores_gemma":[0.0002983033,0.00006132524,0.006652778,0.00023253166,0.000056413137,0.000004388449,0.00003189801,0.09486062,0.000009544889,0.53594244,0.36157092,0.00027883472],"about_ca_topic_score_codex":0.00025608583,"about_ca_topic_score_gemma":0.00009495831,"teacher_disagreement_score":0.67697,"about_ca_system_score_codex":0.000016101028,"about_ca_system_score_gemma":0.000015455225,"threshold_uncertainty_score":0.33359045},"labels":[],"label_agreement":null},{"id":"W4389078246","doi":"10.1371/journal.pone.0294467","title":"Market integration and economic growth","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"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; Leverage (statistics); Economies of agglomeration; Urban agglomeration; Economic integration; Protectionism; Business; Cluster (spacecraft); Market integration; Business cluster; International trade; Economics; Economic growth; Mechanism (biology)","score_opus":0.050647983027405155,"score_gpt":0.19101002855271576,"score_spread":0.14036204552531062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389078246","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":[0.94752085,0.000201023,0.00015139283,0.004791864,0.0000582523,0.000098466364,0.00009339941,0.000057693047,0.04702703],"genre_scores_gemma":[0.9926133,0.002070092,0.0003839435,0.00016729375,0.00012621284,0.000024735515,0.00003911946,0.000016238564,0.004559023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992252,0.0000059700983,0.00032187998,0.00028081538,0.000016997301,0.00014915387],"domain_scores_gemma":[0.9996066,0.000043679036,0.00013126814,0.00014305933,0.000013167782,0.00006222694],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002821718,0.000087966626,0.00029231395,0.00025376043,0.000067782225,0.00007384404,0.00009505437,0.000052171323,0.0006777091],"category_scores_gemma":[0.000049651513,0.00010392043,0.00006139163,0.00011811152,0.000032368644,0.00015744171,0.000046846475,0.000061544735,0.0018977933],"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":[0.000023530456,0.00018577086,0.16905867,0.00005053068,0.0005215373,0.0000030403771,0.00019084665,0.000028406324,0.00014493051,0.8216353,0.0072541083,0.0009033049],"study_design_scores_gemma":[0.00072572374,0.00011942243,0.21855813,0.000049362225,0.0000615079,0.000001474176,0.00009151662,0.3656524,0.00080401235,0.40876696,0.0045338925,0.00063559],"about_ca_topic_score_codex":0.00064068317,"about_ca_topic_score_gemma":0.0001774853,"teacher_disagreement_score":0.41286838,"about_ca_system_score_codex":0.000057190984,"about_ca_system_score_gemma":0.000007311564,"threshold_uncertainty_score":0.9988794},"labels":[],"label_agreement":null},{"id":"W4389683831","doi":"10.1002/pam.22553","title":"Grads on the go: Measuring college‐specific labor markets for graduates","year":2023,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"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":"Institute of Education Sciences; Russell Sage Foundation","keywords":"Quarter (Canadian coin); Institution; Investment (military); Public institution; Higher education; Demographic economics; Labour economics; Social mobility; Economics; Political science; Business; Economic growth; Geography; Law","score_opus":0.05870171880677879,"score_gpt":0.24594191082625436,"score_spread":0.18724019201947556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389683831","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":[0.7413726,0.0023819103,0.009525793,0.22409342,0.0004617863,0.0007005022,0.0005013745,0.000033485387,0.020929163],"genre_scores_gemma":[0.98201716,0.013186623,0.0002748769,0.00081533956,0.00027399277,0.00002322215,0.0000073197484,0.000014857553,0.0033866165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870116,0.000022854703,0.00074878783,0.00022213365,0.00007745005,0.00022762007],"domain_scores_gemma":[0.9988075,0.00018345322,0.00063542573,0.00022621483,0.000062850384,0.000084593514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016209921,0.00013592263,0.00053381023,0.0017191274,0.00020692179,0.000123316,0.00025964656,0.00003350647,0.00004650542],"category_scores_gemma":[0.000073051626,0.000102626356,0.00060547894,0.001548491,0.00004004,0.00008809504,0.000062779174,0.00007827024,0.000039375314],"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":[0.000050626724,0.00004710803,0.0026095405,0.000025066924,0.0036212231,0.00000813382,0.00009548658,0.0017289761,0.0000031074806,0.97015476,0.019940231,0.0017157583],"study_design_scores_gemma":[0.0011473972,0.00017264439,0.16157587,0.00003849468,0.0007914372,0.0000038876606,0.0006115051,0.026293581,0.000046138714,0.27173626,0.5371941,0.0003887101],"about_ca_topic_score_codex":0.0001207663,"about_ca_topic_score_gemma":0.00007973389,"teacher_disagreement_score":0.69841844,"about_ca_system_score_codex":0.00008695489,"about_ca_system_score_gemma":0.000008758143,"threshold_uncertainty_score":0.41849813},"labels":[],"label_agreement":null},{"id":"W4390372140","doi":"10.3917/reco.pr2.0138","title":"10.3917/reco.pr2.0138","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Locale (computer software); Political science; Geography; Philosophy; Computer science","score_opus":0.013373154313850045,"score_gpt":0.155664179939947,"score_spread":0.14229102562609694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390372140","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01012551,0.00022792605,0.000012814454,0.0019441198,0.000008133688,0.00011020111,0.00009061195,0.000044696524,0.987436],"genre_scores_gemma":[0.0077676624,0.000013359478,0.0001624561,0.0002926908,0.00016635978,0.000020775604,0.000032158463,0.000028234694,0.9915163],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987792,0.000007586885,0.0004902455,0.0004093277,0.000026896123,0.00028674604],"domain_scores_gemma":[0.99932,0.000027965536,0.00010894037,0.0003514462,0.000019702231,0.00017196384],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023033183,0.00015480083,0.0004048004,0.00019819013,0.00009228198,0.00009142571,0.0002878846,0.00007652417,0.9886083],"category_scores_gemma":[0.000022454957,0.0001837276,0.00019986418,0.00023955673,0.000027583608,0.00013874854,0.000036532263,0.00007787539,0.98729265],"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":[0.00013403838,0.00024431426,0.000097280026,0.000013039113,0.00031474882,0.0000107947535,0.00006632149,0.0045217522,0.0000064940396,0.007002851,0.2848558,0.70273256],"study_design_scores_gemma":[0.00017910342,0.000068435394,0.00038539647,0.0000034162351,0.000006528979,0.0000021992062,5.795598e-7,0.006101084,0.0000036792055,0.001470771,0.991526,0.00025280274],"about_ca_topic_score_codex":0.0004570489,"about_ca_topic_score_gemma":0.000003777293,"teacher_disagreement_score":0.70667017,"about_ca_system_score_codex":0.00007143126,"about_ca_system_score_gemma":0.000011444468,"threshold_uncertainty_score":0.7492194},"labels":[],"label_agreement":null},{"id":"W4390755770","doi":"10.1038/s44284-023-00009-1","title":"Network constraints on worker mobility","year":2024,"lang":"en","type":"article","venue":"Nature Cities","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Center for Research Computing, University of Pittsburgh; Ministerio de Ciencia e Innovación; University of Pittsburgh; Agencia Estatal de Investigación; National Science Foundation","keywords":"Computer science; Business","score_opus":0.019550318670502227,"score_gpt":0.21995215378993263,"score_spread":0.2004018351194304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390755770","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26630637,0.0533102,0.002234302,0.015750956,0.005477206,0.0003248526,0.0005493055,0.000279465,0.6557673],"genre_scores_gemma":[0.9937213,0.00026209664,0.00014927918,0.0017226422,0.00064892106,0.000014944913,0.000024480869,0.000017303608,0.003439044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900806,0.000008115388,0.0003333937,0.00039509157,0.000030465622,0.00022487839],"domain_scores_gemma":[0.99951506,0.00012138724,0.00006705636,0.00022443644,0.000016925984,0.00005516488],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00034642353,0.00013617688,0.0002964145,0.00013827422,0.000083798805,0.00017316056,0.00014846578,0.0002368374,0.0017600595],"category_scores_gemma":[0.00004175345,0.00013467886,0.00020617092,0.00020742959,0.00013887293,0.00010241172,0.000028171558,0.00045775992,0.00082671724],"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":[0.0000090481335,0.000015242793,0.0029504509,0.000014715199,0.00009617813,0.000007221131,0.00006411755,0.0007533598,3.3599468e-7,0.97173196,0.021289794,0.0030675752],"study_design_scores_gemma":[0.000113781076,0.00003985261,0.01179838,0.000060680977,0.000010075994,0.0000035777916,0.000052744403,0.006599539,0.0000071544805,0.60817236,0.37285787,0.00028399765],"about_ca_topic_score_codex":0.000052977353,"about_ca_topic_score_gemma":0.000040012008,"teacher_disagreement_score":0.7274149,"about_ca_system_score_codex":0.00008518237,"about_ca_system_score_gemma":0.000020641932,"threshold_uncertainty_score":0.99995124},"labels":[],"label_agreement":null},{"id":"W4391340358","doi":"10.2139/ssrn.4710770","title":"Does the Urban Wage Premium Imply Higher Firm-Level Labor Shares in Cities?","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":"Université du Québec à Montréal","funders":"","keywords":"Wage; Labour economics; Economics; Wage share; Efficiency wage; Business","score_opus":0.02250121345210415,"score_gpt":0.22212967291991673,"score_spread":0.19962845946781257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391340358","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":[0.772461,0.1224583,0.00062547094,0.0827344,0.0064489194,0.00075007137,0.0024305144,0.000084232,0.012007079],"genre_scores_gemma":[0.93651235,0.032069642,0.000032002783,0.0006109039,0.0016049999,0.00006679325,0.00007518646,0.00008288131,0.02894526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99587315,0.000050809766,0.0012976291,0.00076422765,0.00009287633,0.0019213044],"domain_scores_gemma":[0.99838686,0.000087041866,0.00079520175,0.0005702735,0.000060241604,0.00010037795],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022411707,0.0004424751,0.0008608623,0.0005628898,0.00019518478,0.00060122943,0.0011552037,0.00035630472,0.0005364358],"category_scores_gemma":[0.00005469055,0.00029028222,0.0006844357,0.00028321907,0.00008983054,0.00012878889,0.00065407844,0.0052348543,0.00031600735],"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":[0.000034143828,0.000057463745,0.01552866,0.000055756427,0.0010553872,0.000013722439,0.00049346476,0.001068779,0.0000020154296,0.9762405,0.0036354833,0.0018146009],"study_design_scores_gemma":[0.00026701117,0.000052084943,0.009500588,0.000081878185,0.000048609596,0.000017797212,0.00028699212,0.0021816045,0.0000032004211,0.9276621,0.059444286,0.00045386728],"about_ca_topic_score_codex":0.004891839,"about_ca_topic_score_gemma":0.011139388,"teacher_disagreement_score":0.16405131,"about_ca_system_score_codex":0.0020553796,"about_ca_system_score_gemma":0.001054655,"threshold_uncertainty_score":0.99995494},"labels":[],"label_agreement":null},{"id":"W4391720890","doi":"10.1007/978-3-031-17299-1_3204","title":"Weather Effects","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","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":"Université du Québec à Montréal","funders":"","keywords":"Environmental science; Computer science; Meteorology; Geography","score_opus":0.03295833899705236,"score_gpt":0.1903141852405269,"score_spread":0.15735584624347454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391720890","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024793813,0.0008058148,0.00064598094,0.0010853887,0.00054652675,0.00014296328,0.000101130274,0.000094015806,0.99655336],"genre_scores_gemma":[0.0020138721,0.0016202322,0.00011932137,0.0004913959,0.0003178978,0.000013864859,0.000063907144,0.000118576536,0.9952409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99862045,0.0000015344509,0.0005845575,0.0005576439,0.000028476128,0.00020734566],"domain_scores_gemma":[0.99902666,0.000075417505,0.00036312657,0.00042389057,0.000018201841,0.00009269077],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018324188,0.0002775684,0.0007725982,0.00038623426,0.000057554967,0.00006579009,0.00024813952,0.00031382902,0.0044714008],"category_scores_gemma":[0.000017967313,0.00030394667,0.0005319438,0.000034526754,0.000045882443,0.00005297946,0.000088454566,0.00019063338,0.048930015],"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":[0.000001881575,0.000005018773,0.00008358778,0.000022672359,0.0002708115,0.000011521694,0.0000102005,0.000014672158,1.8430467e-7,0.98615974,0.012556877,0.0008628416],"study_design_scores_gemma":[0.00008396295,0.000018220977,0.00008273572,0.000015619584,0.000012641006,6.2630943e-7,5.4346964e-7,0.00045279966,8.597641e-7,0.53440064,0.46467504,0.0002562826],"about_ca_topic_score_codex":0.00031505254,"about_ca_topic_score_gemma":0.00017270015,"teacher_disagreement_score":0.45211816,"about_ca_system_score_codex":0.000081912585,"about_ca_system_score_gemma":0.0000130332855,"threshold_uncertainty_score":0.9999413},"labels":[],"label_agreement":null},{"id":"W4391845688","doi":"10.1080/09654313.2024.2314692","title":"Subsidiary networks, connectivity, and urban-regional economic development","year":2024,"lang":"en","type":"article","venue":"European Planning Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economic geography; Scale (ratio); Production (economics); Space (punctuation); Regional science; Architecture; Business; Regional development; Economic growth; Economics; Geography","score_opus":0.07211445287309222,"score_gpt":0.2554840163084881,"score_spread":0.1833695634353959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391845688","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":[0.77071756,0.1913224,0.0027440712,0.002497433,0.0011621494,0.00013537753,0.000038960115,0.00018173306,0.031200334],"genre_scores_gemma":[0.9948403,0.0024787565,0.00025974977,0.00028430228,0.00050588144,0.000008724926,0.000021682275,0.000038492977,0.0015620943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986858,0.000027822996,0.0004896932,0.0005332353,0.000021328071,0.0002421678],"domain_scores_gemma":[0.99947625,0.00018525406,0.00012147426,0.00013536564,0.00001175845,0.00006987836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071727455,0.00019933844,0.00040651156,0.00021374751,0.00023154763,0.00018052106,0.00013029014,0.000029316321,0.000034281915],"category_scores_gemma":[0.000025522839,0.00020821998,0.00009743299,0.00007893326,0.00010871892,0.00017216502,0.00016812669,0.00013592007,0.0006026059],"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":[0.000035401114,0.00005374106,0.28027034,0.00016937425,0.0035629591,0.0002797528,0.008286399,0.014616929,0.0000055976134,0.5599653,0.12592053,0.006833688],"study_design_scores_gemma":[0.0003516019,0.000063044834,0.19878878,0.00020734996,0.00003777548,0.00003521528,0.00042992493,0.040708117,0.0000055254886,0.0074819336,0.7510831,0.00080766267],"about_ca_topic_score_codex":0.000036735444,"about_ca_topic_score_gemma":0.00001962507,"teacher_disagreement_score":0.62516254,"about_ca_system_score_codex":0.00011824039,"about_ca_system_score_gemma":0.000018346413,"threshold_uncertainty_score":0.8490965},"labels":[],"label_agreement":null},{"id":"W4391880534","doi":"10.29173/spectrum185","title":"Price of Mobility","year":2024,"lang":"en","type":"article","venue":"Spectrum","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":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics","score_opus":0.019723078837019268,"score_gpt":0.20924160094291017,"score_spread":0.1895185221058909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391880534","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":[0.72232556,0.008030627,0.009660548,0.0077437707,0.0007541287,0.00013966108,0.00017689957,0.00007250684,0.2510963],"genre_scores_gemma":[0.99781597,0.00024626823,0.00015094722,0.000050033355,0.000091632304,0.0000045272986,0.000004901538,0.000009306462,0.0016263986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999248,0.0000029370888,0.00036011517,0.00024984754,0.000015250714,0.00012381328],"domain_scores_gemma":[0.99965376,0.000026557915,0.00007704954,0.0002011418,0.000005604848,0.000035893194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025267043,0.00006581549,0.00023020583,0.00014836963,0.000020394951,0.000035104764,0.000117260584,0.00003663303,0.0013034075],"category_scores_gemma":[0.000015797194,0.000069774294,0.0001738424,0.00021312885,0.000038378083,0.00008703047,0.000027902952,0.000064598644,0.00070969114],"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":[0.0000028831657,0.000028539964,0.0061018295,0.000033294207,0.000065742046,0.0000019306779,0.000059121896,0.000082772145,0.000021768012,0.99286854,0.0004922047,0.0002413949],"study_design_scores_gemma":[0.00008739096,0.000052990177,0.024765572,0.000012862344,0.000007667776,0.0000025082022,0.000016467642,0.021094847,0.0005009645,0.8369256,0.11636004,0.00017304577],"about_ca_topic_score_codex":0.00077048736,"about_ca_topic_score_gemma":0.00007502657,"teacher_disagreement_score":0.27549043,"about_ca_system_score_codex":0.00005247822,"about_ca_system_score_gemma":0.000015432586,"threshold_uncertainty_score":0.99960953},"labels":[],"label_agreement":null},{"id":"W4392987368","doi":"10.2139/ssrn.4745417","title":"Going Separate Ways: Spatial Sorting by Education, Work, and Real Income in the USA since 1970","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":"HEC Montréal","funders":"","keywords":"Sorting; Work (physics); Geography; Economic growth; Economics; Computer science; Engineering","score_opus":0.015559866668159592,"score_gpt":0.23124363161758787,"score_spread":0.21568376494942829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392987368","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":[0.9692612,0.015321282,0.004749308,0.005680021,0.00027543402,0.00009541412,0.00001163968,0.000009770102,0.004595891],"genre_scores_gemma":[0.98366916,0.014624534,0.000039124294,0.00018482469,0.0003038423,0.000010321801,0.00000835318,0.000017023114,0.0011428054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817574,0.000028541781,0.00062543503,0.00029681288,0.000044283417,0.0008292102],"domain_scores_gemma":[0.99945986,0.00009772706,0.00024122755,0.00013168112,0.000017445647,0.000052063617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020029992,0.00013942097,0.0002560523,0.0002354738,0.0001758544,0.0003673349,0.0002472951,0.000064217886,0.000032313725],"category_scores_gemma":[0.000042914344,0.00012112856,0.00011342916,0.00032735252,0.00004266681,0.00026662872,0.000031292366,0.0008617459,0.0000932196],"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":[0.000011517541,0.00003332203,0.120685324,0.000008732339,0.000090291695,0.0000023157652,0.00029269548,0.000095556636,0.000005740435,0.86587,0.00023624125,0.012668248],"study_design_scores_gemma":[0.0002907338,0.000110911344,0.027304655,0.000062467516,0.000024923604,0.000102484504,0.00034493196,0.0071657244,0.0000037376215,0.9354247,0.028801205,0.0003635683],"about_ca_topic_score_codex":0.0050149416,"about_ca_topic_score_gemma":0.013874656,"teacher_disagreement_score":0.09338067,"about_ca_system_score_codex":0.00052744505,"about_ca_system_score_gemma":0.00050883944,"threshold_uncertainty_score":0.77423835},"labels":[],"label_agreement":null},{"id":"W4393152084","doi":"10.1002/9781118786352.wbieg0844.pub2","title":"Economic Geography","year":2024,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geography; Economic geography","score_opus":0.008529384028993892,"score_gpt":0.21328489582808594,"score_spread":0.20475551179909204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393152084","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000226281,0.011544212,0.0002231208,0.0009240117,0.0041880244,0.00016185356,0.0027295342,0.00010447166,0.9798985],"genre_scores_gemma":[0.013934553,0.050153896,0.0015288448,0.00030214252,0.0029017767,0.000117203104,0.0007104993,0.0009184872,0.9294326],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979034,0.0000074428867,0.0009968604,0.0007620868,0.00007913222,0.00025104592],"domain_scores_gemma":[0.9984978,0.000026565991,0.0008955079,0.0004493969,0.000026716538,0.00010403489],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002012715,0.00035944258,0.00078661315,0.0029144008,0.000018645878,0.00007673352,0.0007411747,0.00030517302,0.01254378],"category_scores_gemma":[0.000015407162,0.0004170285,0.0011127585,0.00018646503,0.00016790583,0.00009163199,0.00014659634,0.00022528198,0.00566075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010361329,0.0000847953,0.059294946,0.00008926173,0.0024329538,0.000010364144,0.000027719672,0.00004337761,2.0218847e-7,0.36793363,0.56910306,0.00096931536],"study_design_scores_gemma":[0.00017701868,0.000026238205,0.0022030582,0.00008236713,0.000044247507,0.0000022630763,0.000006032146,0.00023236455,6.472449e-7,0.07400722,0.92283803,0.00038051198],"about_ca_topic_score_codex":0.00875331,"about_ca_topic_score_gemma":0.00058964564,"teacher_disagreement_score":0.35373497,"about_ca_system_score_codex":0.000054170378,"about_ca_system_score_gemma":0.00002692789,"threshold_uncertainty_score":0.99982816},"labels":[],"label_agreement":null},{"id":"W4393294540","doi":"10.1257/aer.20211589","title":"Local Productivity Spillovers","year":2024,"lang":"en","type":"article","venue":"American Economic Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Economics; Productivity; Economic geography; Macroeconomics","score_opus":0.022563825983372584,"score_gpt":0.2425926538640994,"score_spread":0.2200288278807268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393294540","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041866258,0.60456085,0.022440296,0.06897502,0.002594115,0.0011579585,0.0004320316,0.00038105654,0.2575924],"genre_scores_gemma":[0.8529127,0.14201578,0.00026005128,0.0023082213,0.00027572794,0.00006395285,0.000030624633,0.00004866393,0.002084255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980259,0.00001944099,0.0008262442,0.0008058704,0.000021132482,0.0003013999],"domain_scores_gemma":[0.99898064,0.000053652057,0.00032360677,0.0005043291,0.000009607689,0.0001281921],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00067900185,0.00022201987,0.0009418253,0.00017846539,0.00005391613,0.00010487401,0.00028497743,0.000030469675,0.0013482072],"category_scores_gemma":[0.0000330233,0.00023554663,0.00047262,0.0002670609,0.00029719117,0.00031973238,0.00006332374,0.00015028,0.011386208],"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":[0.0000053245612,0.000038443206,0.00258755,0.00073776685,0.0004364016,0.000013525228,0.00004142691,0.0003585646,0.000001793977,0.65845007,0.037683696,0.29964545],"study_design_scores_gemma":[0.000053052063,0.00004990868,0.0010152124,0.00022116656,0.000032802105,0.000016141208,0.000013360534,0.00741859,0.0000055229493,0.010797113,0.98002756,0.0003495952],"about_ca_topic_score_codex":0.002262956,"about_ca_topic_score_gemma":0.00018211767,"teacher_disagreement_score":0.94234383,"about_ca_system_score_codex":0.00038698688,"about_ca_system_score_gemma":0.00006698423,"threshold_uncertainty_score":0.9995647},"labels":[],"label_agreement":null},{"id":"W4393403108","doi":"10.1093/jeg/lbae005","title":"The nature, causes, and consequences of inter-regional inequality","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Context (archaeology); Social inequality; Economic geography; Economics; Politics; Economic inequality; Development economics; Economic system; Political science; Geography","score_opus":0.026099734761822445,"score_gpt":0.24790498900808955,"score_spread":0.2218052542462671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393403108","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":[0.93652755,0.050695237,0.00038734713,0.008964413,0.0012194468,0.000069085414,0.000103766,0.0000065849135,0.002026563],"genre_scores_gemma":[0.9913379,0.008076963,0.0001477485,0.00016530955,0.00019562761,0.0000021629112,0.0000023804116,0.000009907167,0.00006202418],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983868,0.00002155062,0.0012050945,0.00020486156,0.000027720347,0.00015396162],"domain_scores_gemma":[0.9985873,0.00030288438,0.0008084314,0.00016784921,0.000049050104,0.000084474785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012418546,0.00012687176,0.00047291513,0.00046305667,0.00008496093,0.0001735574,0.00028774,0.00010112771,0.00008096844],"category_scores_gemma":[0.000040767638,0.0000981403,0.0004719043,0.00012221349,0.00039116328,0.00026298186,0.000045433197,0.0002916377,0.000018332046],"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":[0.000040181618,0.000024286928,0.13396798,0.000036118632,0.00088204804,0.000007680444,0.000095033996,0.00013007782,0.000018648596,0.86080337,0.0022358336,0.0017587312],"study_design_scores_gemma":[0.0004247489,0.0002336802,0.05647035,0.00009307609,0.00006705364,0.0001454203,0.00021015173,0.0026725521,0.00009981664,0.7047848,0.23449749,0.00030082767],"about_ca_topic_score_codex":0.0005267048,"about_ca_topic_score_gemma":0.00018095781,"teacher_disagreement_score":0.23226166,"about_ca_system_score_codex":0.000046870864,"about_ca_system_score_gemma":0.00006676599,"threshold_uncertainty_score":0.40020454},"labels":[],"label_agreement":null},{"id":"W4394215213","doi":"10.6084/m9.figshare.22581730","title":"Material stock and population 1978-2020","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Stock (firearms); Population; Geography; Demography; Archaeology; Sociology","score_opus":0.05427595438314849,"score_gpt":0.2326418903718278,"score_spread":0.1783659359886793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394215213","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009271065,0.00024803,1.2139512e-7,0.00021173836,0.00030847458,0.00014926256,0.9987943,0.00002903684,0.00016628474],"genre_scores_gemma":[0.0001900845,0.00020922211,0.0000074569684,0.00014328492,0.0006217799,0.00010736405,0.9982975,0.000025374724,0.00039792384],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987199,0.0000075709268,0.00052561465,0.0005147545,0.000031685842,0.00020053095],"domain_scores_gemma":[0.99903274,0.00004023413,0.0004899278,0.00033194505,0.000018402512,0.00008673255],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000067555746,0.00021885846,0.0005446698,0.00022549237,0.00009143462,0.00021290596,0.00024232801,0.00028302713,0.072833195],"category_scores_gemma":[0.00021785624,0.00026219612,0.0001463976,0.00014194108,0.000005129917,0.00010552356,0.00019537419,0.00015202923,0.030654594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040748496,0.000007937187,0.000042526703,0.00013212781,0.00005921728,0.000007741952,0.000002600687,0.00001616141,2.7407477e-8,0.00015015437,0.9994869,0.0000905256],"study_design_scores_gemma":[0.00009744742,0.000020334166,0.0043815197,0.0001330723,0.000010245424,0.0000022625106,0.0000012862495,0.0004514632,1.9117131e-7,0.0016967515,0.99290216,0.00030325144],"about_ca_topic_score_codex":0.0037413754,"about_ca_topic_score_gemma":0.0008425256,"teacher_disagreement_score":0.042178597,"about_ca_system_score_codex":0.00006455163,"about_ca_system_score_gemma":0.000014206087,"threshold_uncertainty_score":0.999983},"labels":[],"label_agreement":null},{"id":"W4394924592","doi":"10.2139/ssrn.4798884","title":"Urban Pull: The Roles of Amenities and Employment","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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":"McGill University","funders":"","keywords":"Economic geography; Business; Labour economics; Geography; Economics","score_opus":0.017245181142738254,"score_gpt":0.20980657867385136,"score_spread":0.1925613975311131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394924592","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":[0.7318918,0.24091907,0.0015038599,0.016739666,0.0007789069,0.00026613782,0.00019245708,0.00002244677,0.007685643],"genre_scores_gemma":[0.9378424,0.05827407,0.000021628917,0.000100541125,0.0003783444,0.000014806439,0.000009262696,0.000031988227,0.0033269299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99792844,0.000022985636,0.00081588386,0.0003467766,0.00005391676,0.0008319801],"domain_scores_gemma":[0.9989059,0.000041114607,0.00068542367,0.00027559057,0.00003828646,0.000053706484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015598938,0.0002262251,0.0005854092,0.00029263037,0.00012624044,0.0002220162,0.00042022025,0.00013704774,0.000044885895],"category_scores_gemma":[0.000021230104,0.00018163516,0.0003948392,0.000081606464,0.00012585151,0.000046769346,0.00041447117,0.00209446,0.00004003395],"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":[0.000011779642,0.000022343484,0.0024028474,0.000030958035,0.0010338838,0.0000011926381,0.00047823656,0.00024210224,0.0000016181037,0.9915162,0.00042254504,0.0038363144],"study_design_scores_gemma":[0.000111780726,0.00008292056,0.00034873278,0.00004047108,0.00007730009,0.000039500657,0.00073409104,0.0020167825,0.000006332248,0.9812179,0.015126105,0.00019804956],"about_ca_topic_score_codex":0.0010644573,"about_ca_topic_score_gemma":0.0038170002,"teacher_disagreement_score":0.20595062,"about_ca_system_score_codex":0.00048057523,"about_ca_system_score_gemma":0.0004987661,"threshold_uncertainty_score":0.9099503},"labels":[],"label_agreement":null},{"id":"W4398178235","doi":"10.1016/j.jue.2024.103655","title":"Agglomeration Economies and the Built Environment: Evidence from Specialized Buildings and Anchor Tenants","year":2024,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economies of agglomeration; Business; Economic geography; Economics; Economy; Economic growth","score_opus":0.027738999843694604,"score_gpt":0.2071702698149078,"score_spread":0.1794312699712132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398178235","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":[0.9357158,0.051134,0.0015793478,0.010267184,0.00058567815,0.00012672904,0.00008526946,0.000006639657,0.0004993663],"genre_scores_gemma":[0.9175699,0.07972267,0.0010334258,0.00031795795,0.0009297858,0.000005561159,0.0000035204703,0.000025069396,0.00039211905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982516,0.000024831714,0.0011639984,0.00035765234,0.000024026385,0.00017787002],"domain_scores_gemma":[0.9984635,0.00042244833,0.00077629834,0.00020285945,0.000017296512,0.000117594675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010829307,0.00018951276,0.00070309936,0.00025400813,0.00012694858,0.0006053284,0.00023272552,0.00009036035,0.00020630758],"category_scores_gemma":[0.00010158242,0.0001525008,0.00024273971,0.000055144526,0.00025991112,0.00092785165,0.00008881102,0.00020737202,0.00006636588],"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":[0.0008993927,0.00009139481,0.12184641,0.00009966444,0.0026437172,0.000033393655,0.004948035,0.0031663238,0.00014332672,0.8237629,0.008339998,0.034025487],"study_design_scores_gemma":[0.0034147822,0.00021641645,0.03729065,0.00023146463,0.00026782803,0.00011535805,0.00028644854,0.112952575,0.00014624001,0.43685928,0.4074615,0.000757457],"about_ca_topic_score_codex":0.00056204427,"about_ca_topic_score_gemma":0.00009794269,"teacher_disagreement_score":0.3991215,"about_ca_system_score_codex":0.00016616727,"about_ca_system_score_gemma":0.0000370524,"threshold_uncertainty_score":0.6218802},"labels":[],"label_agreement":null},{"id":"W4398822625","doi":"10.7910/dvn/x5aqo6","title":"Replication Data for: Crossing the Line: Evidence for the categorization theory of spatial voting","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Replication (statistics); Categorization; Voting; Line (geometry); Computer science; Biology; Artificial intelligence; Political science; Mathematics","score_opus":0.16608649755410454,"score_gpt":0.3145196767802356,"score_spread":0.14843317922613108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398822625","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014304284,0.000073946634,0.1628524,0.00031796587,0.00058651704,0.00072103314,0.83541673,0.0000118934295,0.0000051856537],"genre_scores_gemma":[0.0011445419,0.0022841431,0.00024999797,0.0002044446,0.000787469,0.00017734522,0.99487114,0.000034770164,0.00024613427],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978133,0.00003418646,0.0009932452,0.0008651803,0.00006292407,0.00023120713],"domain_scores_gemma":[0.99202824,0.0022576295,0.0015895352,0.003970252,0.000119502634,0.00003486681],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0041512796,0.00020892179,0.00047334924,0.0001433271,0.0005965365,0.000347258,0.0022560486,0.00016525183,0.00019018582],"category_scores_gemma":[0.0054608164,0.00015888554,0.00023002879,0.00020049332,0.00020036635,0.00038201906,0.0005951202,0.00016573556,0.0021604025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008447762,0.000020123794,0.000046165256,0.0001462302,0.00024453268,1.9640656e-7,0.000027955093,0.0010258278,0.0000018369165,0.024035385,0.9724367,0.0019305605],"study_design_scores_gemma":[0.00018791728,0.000027282107,0.00017263407,0.000051362716,0.00018216901,6.1092766e-7,0.000037826085,0.09934596,0.000004224596,0.0054504927,0.8943711,0.00016840408],"about_ca_topic_score_codex":0.0064400756,"about_ca_topic_score_gemma":0.0025439553,"teacher_disagreement_score":0.16260241,"about_ca_system_score_codex":0.00007362932,"about_ca_system_score_gemma":0.0001203881,"threshold_uncertainty_score":0.9986165},"labels":[],"label_agreement":null},{"id":"W4399286497","doi":"10.2139/ssrn.4846481","title":"Should Cities Diversify? City Risk and Industrial Policy","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":"McGill University","funders":"","keywords":"Externality; Diversification (marketing strategy); Economics; Business; Urban economics; Economic geography; Microeconomics","score_opus":0.0444061758154447,"score_gpt":0.23334395116867548,"score_spread":0.18893777535323078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399286497","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":[0.93248224,0.030991644,0.0105359,0.013393343,0.00072704157,0.00011414105,0.00017881714,0.000052038322,0.011524836],"genre_scores_gemma":[0.9547696,0.040591907,0.000018421233,0.000119459066,0.0011660107,0.0000022734332,0.0000047860135,0.000017387054,0.003310164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824345,0.000019247953,0.00041753278,0.0002928346,0.000041308747,0.0009856451],"domain_scores_gemma":[0.9995284,0.0000550332,0.00018390531,0.00011312556,0.000017006594,0.00010251255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014127847,0.00014543855,0.00030696025,0.0005033618,0.00025939452,0.0003103465,0.00018401805,0.00012517636,0.00014411655],"category_scores_gemma":[0.00009388521,0.00014635184,0.0002218149,0.00020859094,0.00007482931,0.0002939988,0.00006363524,0.0014126333,0.00010229125],"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":[0.000015084406,0.000011122015,0.036450345,0.000003017531,0.00036867175,0.000002958213,0.00014177653,0.00005026788,7.753803e-7,0.94738114,0.0003566056,0.0152182365],"study_design_scores_gemma":[0.00034103903,0.000114420465,0.0014971865,0.0000090142,0.000031593387,0.00007274854,0.0002964096,0.0027212163,0.0000022095735,0.9340163,0.06070079,0.00019706544],"about_ca_topic_score_codex":0.004701028,"about_ca_topic_score_gemma":0.0014077281,"teacher_disagreement_score":0.060344182,"about_ca_system_score_codex":0.0007623708,"about_ca_system_score_gemma":0.00055249204,"threshold_uncertainty_score":0.71065795},"labels":[],"label_agreement":null},{"id":"W4400359194","doi":"10.22230/ijepl.2024v20n1a1369","title":"Measures of Economic Disadvantage Explain Outcomes Differently Across Geographies","year":2024,"lang":"en","type":"article","venue":"International Journal of Education Policy and Leadership","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Education Sciences; U.S. Department of Education","keywords":"Disadvantage; Economics; Sociology; Economic geography; Geography; Political science","score_opus":0.1349138730671895,"score_gpt":0.3437266881501497,"score_spread":0.20881281508296018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400359194","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":[0.9478653,0.009366071,0.0011274128,0.036965623,0.002348586,0.00005801268,0.00019016094,0.000008480135,0.0020703254],"genre_scores_gemma":[0.99611884,0.0015123799,0.00009811421,0.00042261893,0.00073098997,0.0000035831597,0.000010496949,0.000011799989,0.0010911879],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885726,0.000015467407,0.000771453,0.00015851928,0.0000626906,0.00013462851],"domain_scores_gemma":[0.9991326,0.0001587601,0.00046054306,0.0000911688,0.00007632906,0.00008065402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038980463,0.00011444691,0.00032337158,0.00077733054,0.000037690716,0.00017221144,0.00027360406,0.000055085828,0.00010409655],"category_scores_gemma":[0.0001416459,0.0001071052,0.00027871437,0.00009638628,0.00012214473,0.0003876037,0.000026533502,0.00012223821,0.000024364886],"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":[0.00003934859,0.00011926189,0.14062877,0.000045497032,0.0007773575,0.0000025042875,0.0028145958,0.00012602028,0.00003149157,0.8368451,0.0007972344,0.01777282],"study_design_scores_gemma":[0.0011187069,0.00024631893,0.31544733,0.0003472208,0.00007318439,0.00015039484,0.010807486,0.0013009448,0.00037608854,0.5294151,0.14008047,0.00063681614],"about_ca_topic_score_codex":0.00080518395,"about_ca_topic_score_gemma":0.00013153457,"teacher_disagreement_score":0.30743006,"about_ca_system_score_codex":0.00012406314,"about_ca_system_score_gemma":0.0001272748,"threshold_uncertainty_score":0.43676233},"labels":[],"label_agreement":null},{"id":"W4401433168","doi":"10.1177/00420980241264715","title":"Firm dynamics in urban neighbourhoods and innovation: A microgeographic analysis","year":2024,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Externality; Neighbourhood (mathematics); Economic geography; Quarter (Canadian coin); Panel data; Diversity (politics); Economics; Work (physics); Dynamics (music); Business; Microeconomics; Econometrics; Sociology; Geography","score_opus":0.0329823696246017,"score_gpt":0.24698193114162453,"score_spread":0.21399956151702282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401433168","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":[0.858036,0.1289744,0.00080288685,0.0045291623,0.0002635315,0.00011912283,0.00016704942,0.00004877425,0.007059086],"genre_scores_gemma":[0.9937968,0.0043061855,0.00015208065,0.0002123044,0.00009433059,0.0000276005,0.000043526314,0.000015181277,0.0013519713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985471,0.000009065464,0.0006965166,0.000503364,0.000027851675,0.00021609974],"domain_scores_gemma":[0.99950695,0.000079871534,0.00013885222,0.00019671847,0.000043865144,0.000033744396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004087853,0.00017278633,0.00063846086,0.0026624002,0.0000923322,0.00014457048,0.000109575936,0.0000691413,0.000056462028],"category_scores_gemma":[0.000049122078,0.00018138735,0.00019827732,0.004337217,0.00011868331,0.00015997942,0.000089239125,0.00013329623,0.00004289017],"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":[0.0000024964365,0.000015277275,0.50689787,0.000026573403,0.0014265017,0.000006690181,0.0003959928,0.000039094237,4.5176327e-7,0.48978308,0.00090642634,0.00049955177],"study_design_scores_gemma":[0.0006554593,0.00011798961,0.37223294,0.00008984433,0.0005704063,0.0000065232143,0.0015071922,0.28484383,0.000005394692,0.25006533,0.088820726,0.0010843711],"about_ca_topic_score_codex":0.0005084549,"about_ca_topic_score_gemma":0.0020058327,"teacher_disagreement_score":0.28480473,"about_ca_system_score_codex":0.00018166588,"about_ca_system_score_gemma":0.000011564107,"threshold_uncertainty_score":0.7396761},"labels":[],"label_agreement":null},{"id":"W4401501996","doi":"10.1093/jeg/lbae026","title":"Beyond “buzz”: knowledge interactions, innovation, and neighborhood characteristics","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; HEC Montréal","funders":"HEC Montréal","keywords":"Marketing buzz; Residence; Census; Economic geography; Business; Cluster analysis; Survey data collection; Knowledge management; Marketing; Regional science; Geography; Demographic economics; Advertising; Economics; Sociology; Computer science; Statistics; Population; Mathematics; Demography","score_opus":0.017070324895929814,"score_gpt":0.2360544622578687,"score_spread":0.2189841373619389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401501996","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":[0.9369512,0.01476183,0.003153492,0.0048712096,0.004082099,0.00011230109,0.00018492849,0.000026190526,0.03585671],"genre_scores_gemma":[0.9965773,0.0018330403,0.0002994717,0.00018529485,0.000727971,0.0000037142784,0.000014806322,0.000022593571,0.0003357853],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998095,0.000010856637,0.0014440846,0.00026136838,0.000018316188,0.00017037345],"domain_scores_gemma":[0.99882925,0.000098744706,0.00074285315,0.00015418483,0.00008275702,0.00009222107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006540485,0.00016265562,0.0005272584,0.0017375652,0.00008175986,0.0002971379,0.00018047425,0.00007010925,0.00043175605],"category_scores_gemma":[0.000036082893,0.00017207125,0.0003074565,0.00033983876,0.000071353024,0.00059829646,0.000046180932,0.00025367382,0.00023472954],"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":[0.000014769911,0.000051482835,0.12810446,0.00003521869,0.0005473077,0.0000072772345,0.00016860853,0.000033151133,0.000012089176,0.861322,0.0030166393,0.006687002],"study_design_scores_gemma":[0.0004996662,0.00016878363,0.08360233,0.00008003654,0.00008005677,0.00015352563,0.00009349146,0.0152855525,0.00001659596,0.59124196,0.3083475,0.0004305352],"about_ca_topic_score_codex":0.000041369494,"about_ca_topic_score_gemma":0.000020379857,"teacher_disagreement_score":0.30533084,"about_ca_system_score_codex":0.000096069016,"about_ca_system_score_gemma":0.00006034783,"threshold_uncertainty_score":0.7016862},"labels":[],"label_agreement":null},{"id":"W4402655888","doi":"10.1111/jors.12734","title":"Network versus spatial proximity and firm innovation: The case of the R&amp;D service sector","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Tertiary sector of the economy; Business; Industrial organization; Service (business); Economic geography; Marketing; Economics","score_opus":0.07719832218851094,"score_gpt":0.25745173000594274,"score_spread":0.1802534078174318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402655888","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":[0.9653245,0.0018538933,0.0011113238,0.029842973,0.0010519429,0.00007325933,0.000012685396,0.0000026684163,0.0007267515],"genre_scores_gemma":[0.99850005,0.00012854408,0.00029755605,0.0005188975,0.00045301276,0.0000013615447,3.8433015e-7,0.000004531364,0.00009566107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902695,0.000014157539,0.00055341516,0.00017259877,0.000092044604,0.00014084647],"domain_scores_gemma":[0.9988291,0.00016769634,0.00055800565,0.00017658557,0.00022285806,0.00004570026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015715022,0.000077377066,0.00019546314,0.0001573995,0.00026771656,0.00013370105,0.00040375092,0.000033558674,0.00004760364],"category_scores_gemma":[0.00012632913,0.000046651123,0.00010305931,0.0015735177,0.00035419784,0.00034942766,0.00010178315,0.0001831374,0.000006832413],"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":[0.00008799999,0.000033448447,0.0068074595,0.000037007638,0.00011775023,0.000034232016,0.00055644294,0.0038256159,0.00008388016,0.98181397,0.0036481505,0.0029540306],"study_design_scores_gemma":[0.0014391313,0.00037901502,0.09440872,0.0002869357,0.00012312995,0.0038745059,0.0004033376,0.10493682,0.0000952132,0.48127398,0.31217784,0.0006013698],"about_ca_topic_score_codex":0.0008839237,"about_ca_topic_score_gemma":0.0009338297,"teacher_disagreement_score":0.50054,"about_ca_system_score_codex":0.000079229096,"about_ca_system_score_gemma":0.00019222902,"threshold_uncertainty_score":0.20590864},"labels":[],"label_agreement":null},{"id":"W4402807109","doi":"10.2139/ssrn.4957463","title":"Spatial Wage Inequality in North America and Western Europe: Changes Between and Within Local Labour Markets 1975-2019","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"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; Deutsche Forschungsgemeinschaft","keywords":"Wage inequality; Inequality; Wage; Spatial inequality; Economic geography; Economics; Geography; Labour economics","score_opus":0.014568733070106319,"score_gpt":0.21376013277009462,"score_spread":0.1991913996999883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402807109","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":[0.97517735,0.012208576,0.008760786,0.0033526763,0.00012557219,0.00007946791,0.00010731259,0.00001407204,0.00017420479],"genre_scores_gemma":[0.97578907,0.022773627,0.000026361393,0.00017229618,0.00029682604,0.0000035995772,0.000020581552,0.000027191718,0.0008904668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998067,0.00005215373,0.00057187263,0.00041295262,0.0000472945,0.0008486897],"domain_scores_gemma":[0.9994343,0.00006683825,0.00023379814,0.00012995905,0.000020778152,0.00011433996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012156849,0.00018784909,0.00047866066,0.00035552945,0.00009294453,0.00021468145,0.00016179931,0.0000729436,0.000028577417],"category_scores_gemma":[0.000028685527,0.00018635433,0.00006685294,0.00031632397,0.00009252095,0.00020572451,0.00008571013,0.00093825324,0.000051471365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057427667,0.00003942621,0.7904373,0.000043820917,0.00038631735,0.000029554889,0.0005776937,0.00010610296,0.000003462905,0.10862085,0.00003240407,0.09966564],"study_design_scores_gemma":[0.0009977788,0.0005274685,0.81286085,0.00005666956,0.0000544165,0.00013344786,0.0003607459,0.013024275,0.000004545839,0.12941872,0.041838035,0.0007230467],"about_ca_topic_score_codex":0.0036319846,"about_ca_topic_score_gemma":0.042060297,"teacher_disagreement_score":0.09894259,"about_ca_system_score_codex":0.00024155817,"about_ca_system_score_gemma":0.00018926612,"threshold_uncertainty_score":0.9754196},"labels":[],"label_agreement":null},{"id":"W4403165775","doi":"10.61091/jcmcc122-03","title":"Optimizing Higher Education for Entrepreneurship Digital economy and Innovation: A Novel Spatial Analysis Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Entrepreneurship education; Digital economy; Economic geography; Business; Regional science; Economics; Geography; Computer science; World Wide Web","score_opus":0.03361332788038342,"score_gpt":0.24293347710388222,"score_spread":0.20932014922349879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403165775","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":[0.48877996,0.005533386,0.47077137,0.0019425948,0.01664432,0.00072251604,0.000080529004,0.0000663946,0.015458937],"genre_scores_gemma":[0.991342,0.000038362596,0.0067356164,0.00004305008,0.0017029179,0.00000756267,0.000020765927,0.000030031424,0.00007970567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785197,0.000009922312,0.0014748935,0.00036902836,0.0000788524,0.00021533006],"domain_scores_gemma":[0.9980719,0.00034938223,0.0010231835,0.00016787456,0.00027259736,0.000115056675],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009986182,0.00023478323,0.0008931136,0.0011241742,0.00016229089,0.0010882182,0.0002046935,0.00013581173,0.000013730791],"category_scores_gemma":[0.00012780428,0.00024103382,0.0003222516,0.0008567647,0.00006105055,0.00045648176,0.000099330515,0.000220677,0.0000018787423],"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":[0.000028007677,0.0002864492,0.0007760365,0.00019164562,0.00085981225,8.9418074e-7,0.00037056181,0.00026417896,0.000009498115,0.9958662,0.0000795808,0.0012671293],"study_design_scores_gemma":[0.0012058592,0.00019222795,0.00020428102,0.000075611315,0.00030664483,0.00001985501,0.00009577062,0.11827935,0.000012503605,0.86878794,0.010520348,0.00029961293],"about_ca_topic_score_codex":0.000025788693,"about_ca_topic_score_gemma":2.9018886e-7,"teacher_disagreement_score":0.50256205,"about_ca_system_score_codex":0.000100306665,"about_ca_system_score_gemma":0.0001050315,"threshold_uncertainty_score":0.99994874},"labels":[],"label_agreement":null},{"id":"W4403690746","doi":"10.1016/j.jue.2024.103710","title":"Forward to the Special Issue “Celebrating the 50th Anniversary of the Journal of Urban Economics”","year":2024,"lang":"en","type":"article","venue":"Journal of 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":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Toronto","funders":"","keywords":"Economics; Regional science; Neoclassical economics; Law and economics; Sociology","score_opus":0.015252932329184747,"score_gpt":0.1957361031009416,"score_spread":0.18048317077175685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403690746","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":[0.94501066,0.0055427984,0.0010942429,0.032531623,0.006022444,0.00029220906,0.0002233146,0.000005038579,0.009277673],"genre_scores_gemma":[0.983013,0.00284806,0.00037313794,0.0011957765,0.010641014,0.0000019114652,0.0000018585459,0.000054451262,0.0018708211],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967863,0.00006689556,0.0025230197,0.00024286627,0.00006377229,0.00031717418],"domain_scores_gemma":[0.99590296,0.00036144434,0.0029061134,0.00051100436,0.00015951137,0.0001589869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026016864,0.00026421578,0.0009343545,0.00045977984,0.00022709428,0.00027843518,0.0015788211,0.00012328355,0.00038214127],"category_scores_gemma":[0.00016037517,0.00016974876,0.0011323025,0.00030326637,0.00018320898,0.0005971682,0.00020364,0.0005971068,0.000093500494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004880266,0.00024086748,0.044321537,0.00010960946,0.0038305286,0.000020790703,0.012100273,0.11533621,0.00005451283,0.28872162,0.52249616,0.012279901],"study_design_scores_gemma":[0.00056932453,0.0003441531,0.0047392566,0.00008478329,0.00019351165,0.00015539023,0.0013371896,0.015889522,0.00020653477,0.01895866,0.95721155,0.00031009823],"about_ca_topic_score_codex":0.00013716247,"about_ca_topic_score_gemma":0.00031132298,"teacher_disagreement_score":0.43471545,"about_ca_system_score_codex":0.00041182185,"about_ca_system_score_gemma":0.0003152586,"threshold_uncertainty_score":0.6922153},"labels":[],"label_agreement":null},{"id":"W4404004530","doi":"10.1016/j.rspp.2024.100150","title":"Book review","year":2024,"lang":"en","type":"article","venue":"Regional Science Policy & Practice","topic":"Regional Economics and Spatial Analysis","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":"McMaster University","funders":"","keywords":"Computer science","score_opus":0.048212263474347206,"score_gpt":0.3254627348056482,"score_spread":0.277250471331301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404004530","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007590983,0.469071,0.00075786747,0.41999787,0.00019241113,0.0001194153,0.000018217464,0.00005081163,0.109716505],"genre_scores_gemma":[0.038432132,0.55238926,0.0010239994,0.38274148,0.0013300112,0.00006253504,0.0000149372745,0.000042114294,0.023963505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826336,0.000017042525,0.00052632677,0.0006626532,0.00014002516,0.00039058327],"domain_scores_gemma":[0.9988832,0.00021741545,0.0002350106,0.0003686321,0.00008552588,0.00021024105],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018661998,0.00014622882,0.00030454973,0.0005380279,0.00024744915,0.00033937243,0.0005341748,0.000044015072,0.0010266063],"category_scores_gemma":[0.0010480905,0.0001451154,0.000216561,0.0017257632,0.00038100645,0.002204513,0.00010277621,0.00018616248,0.004359379],"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":[0.000002785292,0.000022243788,0.0000179383,0.000056804794,0.00003013902,0.00000889004,0.000043632142,0.000019010973,0.0000094993675,0.79178196,0.20677061,0.0012365031],"study_design_scores_gemma":[0.000038520895,0.00002075285,0.00018404823,0.0001410662,0.000016164015,0.0000886816,0.00000915458,0.0033816425,0.000005424842,0.025000604,0.9709295,0.00018443413],"about_ca_topic_score_codex":0.002444476,"about_ca_topic_score_gemma":0.000008423644,"teacher_disagreement_score":0.76678133,"about_ca_system_score_codex":0.00034831135,"about_ca_system_score_gemma":0.0004785692,"threshold_uncertainty_score":0.9998866},"labels":[],"label_agreement":null},{"id":"W4404235330","doi":"10.1086/733975","title":"Technological Waves, Knowledge Diffusion, and Local Growth","year":2024,"lang":"en","type":"article","venue":"Journal of Political Economy Macroeconomics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Diffusion; Economic geography; Business; Physics; Economics; Thermodynamics","score_opus":0.015766323495945533,"score_gpt":0.22639744367105244,"score_spread":0.2106311201751069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404235330","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":[0.5452572,0.029816926,0.1078273,0.06705161,0.0022399698,0.00041543084,0.00034229632,0.00016612465,0.24688314],"genre_scores_gemma":[0.99655527,0.00079528894,0.0007854388,0.00091182726,0.0005238259,0.000006192016,0.00000509822,0.00004025681,0.00037680104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99715316,0.000022453121,0.0017439323,0.00049744046,0.000022256605,0.00056077976],"domain_scores_gemma":[0.9985092,0.00030446608,0.00039364086,0.00022944223,0.00008045897,0.0004827555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009533678,0.00028842845,0.0009787086,0.0007047035,0.000099801444,0.0003463181,0.00039136756,0.00026348748,0.00039657712],"category_scores_gemma":[0.00011505241,0.0002820721,0.00047869,0.0001501396,0.0007865766,0.00053739955,0.00018508287,0.00051313336,0.0004491378],"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":[0.000016007265,0.00007946526,0.0023688478,0.00006615494,0.0002261671,0.000034164805,0.000048637376,0.000015783127,0.0000035593387,0.992474,0.0009591143,0.0037080515],"study_design_scores_gemma":[0.0003967621,0.00014208881,0.0011025246,0.000035368743,0.000037181395,0.00031153177,0.00014555453,0.02477085,0.000054078002,0.7580408,0.21463476,0.00032852605],"about_ca_topic_score_codex":0.00008509497,"about_ca_topic_score_gemma":0.000020281153,"teacher_disagreement_score":0.45129806,"about_ca_system_score_codex":0.00048464315,"about_ca_system_score_gemma":0.00012704525,"threshold_uncertainty_score":0.99996316},"labels":[],"label_agreement":null},{"id":"W4404412303","doi":"10.2139/ssrn.4976264","title":"Spatial Misallocation in Canada","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","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":true,"ca_institutions":"University of New Brunswick; University of Fredericton","funders":"","keywords":"Regional science; Business; Economic geography; Geography","score_opus":0.012203168407772833,"score_gpt":0.19326011447627484,"score_spread":0.181056946068502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404412303","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":[0.9133187,0.047107704,0.008198609,0.018114695,0.0036265221,0.00031112594,0.0002177622,0.000019671395,0.009085204],"genre_scores_gemma":[0.98489684,0.0129149435,0.000027670349,0.0001504718,0.0005477203,0.000016351038,0.00005449847,0.000041361855,0.0013501216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969413,0.00002059417,0.0010519898,0.00052187516,0.00006656368,0.0013976247],"domain_scores_gemma":[0.9990314,0.000023741011,0.00055348093,0.00027004856,0.00003426234,0.00008706811],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001307795,0.0002553449,0.0006164312,0.0004516736,0.00005840747,0.00015367262,0.000467498,0.0001696587,0.00011788561],"category_scores_gemma":[0.00003842419,0.00029507308,0.00027064767,0.00015922773,0.000017686394,0.000051875428,0.00023901154,0.0037413856,0.0001718833],"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":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000021753063,0.000038523893,0.03792088,0.000054788754,0.0006228876,0.000022063612,0.000089783396,0.011825045,0.0000010539427,0.9391424,0.0004844396,0.009776363],"study_design_scores_gemma":[0.00018805655,0.00002308292,0.0031813409,0.000042061045,0.000019932892,0.000029283043,0.00020358145,0.026209572,0.0000015101903,0.9662861,0.0034871025,0.00032834656],"about_ca_topic_score_codex":0.98621047,"about_ca_topic_score_gemma":0.9981263,"teacher_disagreement_score":0.07157815,"about_ca_system_score_codex":0.011701642,"about_ca_system_score_gemma":0.012627158,"threshold_uncertainty_score":0.9999501},"labels":[],"label_agreement":null},{"id":"W4404540575","doi":"10.1007/978-3-031-25900-5_83-1","title":"Location Theory","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","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":"McGill University","funders":"","keywords":"Computer science; Geography","score_opus":0.028676640431499558,"score_gpt":0.1918648829904291,"score_spread":0.16318824255892952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404540575","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000055254704,0.0112516815,0.0037793398,0.0014317293,0.00042838423,0.000085078376,0.0000738827,0.000050042618,0.98289436],"genre_scores_gemma":[0.017074574,0.0013974613,0.00008665491,0.00041972817,0.0003289701,0.0000072854527,0.00007200603,0.00006284444,0.98055047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877036,0.0000011163451,0.00058690936,0.00049562484,0.000020900294,0.00012508762],"domain_scores_gemma":[0.9992949,0.000031538733,0.00024586072,0.00033878948,0.00002928109,0.000059646514],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002903068,0.00021449786,0.00046918824,0.00035510786,0.000039589046,0.00010063763,0.00018343584,0.00024050628,0.008648944],"category_scores_gemma":[0.000008672557,0.00022851632,0.0003275122,0.000033879583,0.000052129464,0.000063040985,0.000061527506,0.00019341454,0.03386654],"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":[0.000002642266,0.0000038141452,0.000008106715,0.000034974124,0.00023812002,0.0000031550062,0.000015689799,0.000044186443,5.92275e-8,0.9947847,0.004068244,0.0007963029],"study_design_scores_gemma":[0.000022275062,0.000007804292,0.0000054882116,0.00001896321,0.000015793494,9.990149e-7,0.0000015645247,0.0008997654,3.1233753e-7,0.55054265,0.44832504,0.00015935618],"about_ca_topic_score_codex":0.00011892684,"about_ca_topic_score_gemma":0.0000788116,"teacher_disagreement_score":0.44425678,"about_ca_system_score_codex":0.00011902186,"about_ca_system_score_gemma":0.00002001446,"threshold_uncertainty_score":0.9922573},"labels":[],"label_agreement":null},{"id":"W4404734887","doi":"10.1111/caje.12747","title":"Regional specialization: From the geography of industries to the geography of jobs","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economic geography; Regional geography; Geography; Human geography; Regional science","score_opus":0.12015939914045304,"score_gpt":0.17667496567652588,"score_spread":0.05651556653607284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404734887","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":[0.96449816,0.0053642998,0.00041746892,0.024804926,0.0016071917,0.00023751007,0.0017806783,0.0000038634666,0.0012859225],"genre_scores_gemma":[0.9962149,0.0010253694,0.00018012455,0.0011272604,0.0012596513,0.00001363832,0.000045717323,0.000042947802,0.00009033734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972678,0.00004191451,0.0018146423,0.0004136983,0.000005350679,0.00045658828],"domain_scores_gemma":[0.9970808,0.00036750393,0.0011150169,0.0005766533,0.0002015927,0.00065842055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010709711,0.00027149715,0.0008841267,0.0011775714,0.00019235992,0.0002139617,0.0011032155,0.00018848383,0.0006430118],"category_scores_gemma":[0.00017706714,0.00024266794,0.0007091782,0.0006186113,0.00038793354,0.0003326983,0.00004157345,0.000359515,0.00003592204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003529944,0.000011519967,0.16725054,0.000020613068,0.00083467993,0.00001420444,0.00085411436,0.01001416,0.0000011640174,0.81236005,0.006760712,0.001842909],"study_design_scores_gemma":[0.00035661095,0.00025193606,0.07971622,0.00018900746,0.00011550263,0.000053738757,0.00045019825,0.0030191105,0.00005136351,0.45376396,0.46156213,0.00047022715],"about_ca_topic_score_codex":0.3273874,"about_ca_topic_score_gemma":0.82944924,"teacher_disagreement_score":0.50206184,"about_ca_system_score_codex":0.00042232662,"about_ca_system_score_gemma":0.001004691,"threshold_uncertainty_score":0.98957115},"labels":[],"label_agreement":null},{"id":"W4405089434","doi":"10.1007/978-3-031-25900-5_76-1","title":"Geography of Industrialization","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","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":"Simon Fraser University","funders":"","keywords":"Industrialisation; Economic geography; Geography; Economics; Market economy","score_opus":0.04329697753736204,"score_gpt":0.19797161473442915,"score_spread":0.15467463719706712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405089434","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005738482,0.0033168753,0.0007009588,0.00055545126,0.00040487715,0.000098425066,0.00032533304,0.000021641361,0.99451905],"genre_scores_gemma":[0.02332838,0.002473133,0.000104619576,0.00010624822,0.00028297555,0.0000046719183,0.00018290634,0.000057608493,0.9734595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865794,8.340176e-7,0.00085168984,0.00036645334,0.000026663887,0.00009639208],"domain_scores_gemma":[0.99913555,0.000017039727,0.00050812,0.00026060006,0.000033209828,0.000045489436],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016660978,0.00018041552,0.0006288363,0.0007141945,0.0000198344,0.00004129829,0.00015639055,0.00033123742,0.004911928],"category_scores_gemma":[0.0000071655463,0.0001981596,0.00051635917,0.00005881656,0.00005928274,0.000050325878,0.000053592146,0.00015591017,0.0013371964],"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":[0.000002695837,0.0000055256205,0.00038758607,0.000026534688,0.00032541042,0.0000010999107,0.000006458205,0.000046253994,1.516948e-7,0.9959165,0.0028988086,0.00038297],"study_design_scores_gemma":[0.00005228861,0.000017181901,0.00002976217,0.000022999799,0.000025727211,3.447337e-7,7.65144e-7,0.00060370367,0.0000018950639,0.5594156,0.43968907,0.00014066482],"about_ca_topic_score_codex":0.0004192188,"about_ca_topic_score_gemma":0.000044337903,"teacher_disagreement_score":0.43679026,"about_ca_system_score_codex":0.000038380353,"about_ca_system_score_gemma":0.000015909873,"threshold_uncertainty_score":0.9994404},"labels":[],"label_agreement":null},{"id":"W4405232606","doi":"10.1093/cjcl/cxae017","title":"Leases as Subdivisions of Land: A Comparative Analysis of Singapore, New South Wales, and British Columbia","year":2024,"lang":"en","type":"article","venue":"The Chinese Journal of Comparative Law","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Subdivision; Forestry; Archaeology","score_opus":0.03987623716279273,"score_gpt":0.2730615237943987,"score_spread":0.23318528663160595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405232606","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":[0.98161656,0.010954165,0.00066520204,0.0003672379,0.00009823391,0.000078811296,0.00027807642,0.0000038990934,0.0059378217],"genre_scores_gemma":[0.998593,0.0004511922,0.00014380435,0.000060763337,0.0000867802,0.0000010389076,0.000013366813,0.0000068342238,0.0006432682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847114,0.000049829643,0.0010906295,0.00018640292,0.00008135764,0.000120622346],"domain_scores_gemma":[0.99827516,0.00036560316,0.0009531502,0.00016943764,0.00012878762,0.00010784468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004842193,0.00013262265,0.0014190554,0.0002745031,0.000104107094,0.00023921017,0.00025706066,0.000042194068,0.00036442585],"category_scores_gemma":[0.000027306922,0.00011687162,0.0005480738,0.00088309724,0.00029370654,0.00021469596,0.000056644054,0.00018261022,0.00000958816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023512557,0.00040809307,0.47647884,0.00009201914,0.01807386,0.000039025705,0.018008266,0.02062322,0.0000809332,0.45951998,0.005949565,0.0004910445],"study_design_scores_gemma":[0.0012258599,0.00060850434,0.51838005,0.00027898946,0.0016844554,0.0000863604,0.0010524781,0.07066647,0.000053637024,0.3967021,0.0087825535,0.00047852396],"about_ca_topic_score_codex":0.0251224,"about_ca_topic_score_gemma":0.03933119,"teacher_disagreement_score":0.06281789,"about_ca_system_score_codex":0.000028600105,"about_ca_system_score_gemma":0.00005712694,"threshold_uncertainty_score":0.9813694},"labels":[],"label_agreement":null},{"id":"W4405673355","doi":"10.1007/978-3-031-76906-1_2","title":"Spatial Spillovers and Knowledge Structures","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geography","score_opus":0.025894883315217145,"score_gpt":0.20446585401753303,"score_spread":0.1785709707023159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405673355","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014254166,0.011819498,0.000320324,0.00075758045,0.00064430624,0.00010728777,0.00030820403,0.00003717093,0.9858631],"genre_scores_gemma":[0.06011477,0.0032346998,0.000108759275,0.0001775723,0.0005192412,0.0000036073218,0.00006168062,0.0000721059,0.93570757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985337,0.0000011021732,0.0005900743,0.00067696924,0.000022999475,0.00017513082],"domain_scores_gemma":[0.9993323,0.000027810102,0.00023186735,0.0002733267,0.000020327441,0.00011438379],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000118507676,0.00032294408,0.0007006098,0.0004126012,0.000058736958,0.00015982898,0.00016070498,0.0003097811,0.0049586664],"category_scores_gemma":[0.0000069069674,0.00033170602,0.00032449546,0.00002355945,0.00010900646,0.00006222553,0.00015512941,0.00025313903,0.0032121597],"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":[0.0000038431685,0.0000033080767,0.000079667225,0.000042364085,0.00029385774,0.0000058297683,0.00003845061,0.00000574586,2.0107827e-7,0.9925014,0.0046400772,0.0023852582],"study_design_scores_gemma":[0.00006258761,0.000018367216,0.00007224211,0.000011542222,0.000023991694,0.00000281866,0.0000021962683,0.0011996196,6.4816015e-7,0.5025901,0.4957802,0.00023567442],"about_ca_topic_score_codex":0.0011791928,"about_ca_topic_score_gemma":0.0011933347,"teacher_disagreement_score":0.49114013,"about_ca_system_score_codex":0.00009553325,"about_ca_system_score_gemma":0.000026435124,"threshold_uncertainty_score":0.9999135},"labels":[],"label_agreement":null},{"id":"W4406147574","doi":"10.7202/1115225ar","title":"Special issue – Guest editorial note: Canada’s Economic Geography","year":2024,"lang":"en","type":"editorial","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Regional science; Geography; Economic geography","score_opus":0.009104537743623775,"score_gpt":0.20542299150116602,"score_spread":0.19631845375754226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406147574","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001544255,0.001944993,0.0000075736075,0.0054165507,0.97322536,0.00009433965,0.0016787628,0.0000047351255,0.017473267],"genre_scores_gemma":[0.0009943581,0.0006622413,0.0000629603,0.00018807179,0.9959108,0.00000352513,0.00007126953,0.00005189493,0.0020548361],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961031,0.000017936602,0.0016341527,0.0008663431,0.00049038784,0.0008880592],"domain_scores_gemma":[0.99560314,0.00022769839,0.001544407,0.0004528077,0.00054822303,0.001623728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019390528,0.00045087986,0.0011590874,0.002142793,0.00049367716,0.0008560077,0.0022220036,0.00057558285,0.00080523285],"category_scores_gemma":[0.0005837835,0.0004919148,0.0006543172,0.0006116448,0.00094855,0.00056535,0.000078871395,0.0013300225,0.00057747646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000012708102,0.000005886368,0.00020324736,0.00001837682,0.00010736687,0.000113988914,0.00005654061,0.00019423047,2.4143495e-7,0.0075974604,0.99154437,0.00014558711],"study_design_scores_gemma":[0.00022966904,0.00007970186,0.00011259037,0.00008265967,0.000043565175,0.000024406248,0.000021357193,0.000093474126,0.0000013311477,0.006195405,0.9925827,0.00053318264],"about_ca_topic_score_codex":0.92374176,"about_ca_topic_score_gemma":0.977486,"teacher_disagreement_score":0.053744297,"about_ca_system_score_codex":0.0047349744,"about_ca_system_score_gemma":0.046083417,"threshold_uncertainty_score":0.99975324},"labels":[],"label_agreement":null},{"id":"W4406245542","doi":"10.1007/s13132-024-02416-8","title":"Knowledge Spillovers, Labor Pooling, and Firms’ Agglomeration: A Case Study of Pakistan","year":2025,"lang":"en","type":"article","venue":"Journal of the Knowledge Economy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Economies of agglomeration; Diversification (marketing strategy); Pooling; Economic geography; Index (typography); Industrial organization; Economics; Cluster (spacecraft); Economies of scale; Business; Microeconomics; Marketing","score_opus":0.022671430614964603,"score_gpt":0.270703801721566,"score_spread":0.2480323711066014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406245542","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":[0.9571324,0.007788571,0.00016211641,0.0010765704,0.0007176271,0.00020462144,0.000020199674,0.000003511199,0.032894388],"genre_scores_gemma":[0.9966888,0.00021045275,0.00008035726,0.00009435385,0.00019334318,0.0000054852762,4.8532064e-7,0.00001172308,0.0027150174],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814206,0.000047559846,0.0013985046,0.00023821328,0.000018703233,0.00015497657],"domain_scores_gemma":[0.99807245,0.00012783743,0.0011788158,0.00033288187,0.00020571526,0.00008229429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008251909,0.0001677315,0.00069834926,0.00043788203,0.00017982558,0.000096555435,0.00034533418,0.00007484874,0.00009179359],"category_scores_gemma":[0.00007626488,0.00014251312,0.00028369416,0.0003566992,0.00008765625,0.0002466036,0.00015776629,0.0002053554,0.000020807842],"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":[0.00015766596,0.0030690168,0.54492676,0.00029966707,0.0031460088,0.0001535634,0.013296363,0.00104307,0.000016010123,0.4167736,0.009794421,0.0073238607],"study_design_scores_gemma":[0.012571799,0.0016959349,0.09285093,0.00040609753,0.000796505,0.0014048924,0.022581799,0.026979873,0.00019524606,0.117564484,0.7216073,0.0013451038],"about_ca_topic_score_codex":0.00036202892,"about_ca_topic_score_gemma":0.0014069402,"teacher_disagreement_score":0.7118129,"about_ca_system_score_codex":0.00015960357,"about_ca_system_score_gemma":0.00012821554,"threshold_uncertainty_score":0.5811516},"labels":[],"label_agreement":null},{"id":"W4406925822","doi":"10.33423/jabe.v27i1.7501","title":"Comparative Analysis of Regional Economic Conditions in South Texas, Including Business Manager, Local Resident, and University Student Perceptions","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Regional science; Business; Management; Political science; Geography; Psychology; Economics","score_opus":0.031204288114259394,"score_gpt":0.24781498635490481,"score_spread":0.2166106982406454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406925822","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":[0.9924879,0.00034796467,0.0028984447,0.00085698446,0.000096044496,0.00009906416,0.00012806007,0.0000029037053,0.0030826014],"genre_scores_gemma":[0.9970317,0.0024838725,0.00021294976,0.00010695576,0.000037155463,0.0000014628941,0.00002298602,0.0000067191536,0.000096201846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99845606,0.0000116136325,0.0010305571,0.0003185152,0.000022477987,0.0001607856],"domain_scores_gemma":[0.99833715,0.00008475378,0.0012404205,0.00016413104,0.00009896769,0.00007456365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041009224,0.00017276488,0.0011520787,0.0019843758,0.00012979294,0.00007631914,0.00021282137,0.000100556514,0.00007385881],"category_scores_gemma":[0.000007019584,0.00020369179,0.00016376351,0.0007219386,0.00025707227,0.00028777393,0.00014019245,0.00013919504,0.000005193006],"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":[0.00020762996,0.00012206423,0.30270934,0.000050381695,0.0020768242,0.000005106775,0.0011533403,0.20986366,0.000009111019,0.48340935,0.00015977505,0.00023342366],"study_design_scores_gemma":[0.0010124479,0.000012562542,0.9622685,0.000030401934,0.0003549049,0.0000021515048,0.0047116335,0.0169705,0.0000025497504,0.012580248,0.001851243,0.00020289142],"about_ca_topic_score_codex":0.0006049931,"about_ca_topic_score_gemma":0.0022154637,"teacher_disagreement_score":0.65955913,"about_ca_system_score_codex":0.00030451867,"about_ca_system_score_gemma":0.00008526694,"threshold_uncertainty_score":0.830631},"labels":[],"label_agreement":null},{"id":"W4406951532","doi":"10.1177/00420980241301669","title":"The micro-geography of knowledge exchanges in Montreal: Questioning the importance of the neighbourhood scale in an age of virtual communications","year":2025,"lang":"en","type":"article","venue":"Urban Studies","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; McGill University","funders":"","keywords":"Economic geography; Neighbourhood (mathematics); Economies of agglomeration; Metropolitan area; Regional science; Scale (ratio); Context (archaeology); Geography; Spatial ecology; Spatial contextual awareness; Sociology; Economic growth; Economics; Cartography","score_opus":0.03592792604168149,"score_gpt":0.26680205462198275,"score_spread":0.23087412858030126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406951532","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":[0.9268147,0.06531946,0.000020174426,0.0027462293,0.000074847834,0.00015013377,0.00004571727,0.000002133736,0.0048266174],"genre_scores_gemma":[0.99160016,0.008069629,0.000037859518,0.000041546267,0.00000959454,0.000032217056,0.0000029557523,0.0000039192887,0.0002020989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990645,0.00005463061,0.00062838546,0.0001338109,0.000018117706,0.00010053063],"domain_scores_gemma":[0.99864227,0.00030325813,0.00041018668,0.0005731206,0.000062846906,0.000008294209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005566482,0.00007757834,0.00036747076,0.00016952952,0.00014201137,0.000010654847,0.00055128254,0.000030125671,0.0000022746221],"category_scores_gemma":[0.00009028625,0.00005008528,0.0001323597,0.0004924034,0.00050502515,0.000048696907,0.00023004496,0.00009355028,6.06781e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067962515,0.00008321773,0.8769082,0.000012062457,0.00010549776,4.226934e-8,0.0023888927,0.00009886276,0.000012208532,0.11945987,0.00010439702,0.0008199719],"study_design_scores_gemma":[0.00018105046,0.000024110284,0.96390206,0.00006120116,0.000013686082,4.6590003e-8,0.001961543,0.00094536215,0.00004413715,0.03199377,0.00082208693,0.000050965707],"about_ca_topic_score_codex":0.0027146398,"about_ca_topic_score_gemma":0.121049285,"teacher_disagreement_score":0.11833464,"about_ca_system_score_codex":0.000032919645,"about_ca_system_score_gemma":0.000014441654,"threshold_uncertainty_score":0.89498925},"labels":[],"label_agreement":null},{"id":"W4407117824","doi":"","title":"BOOK REVIEW - PHILIP MCCANN (EDITOR), INDUSTRIAL LOCATION ECONOMICS","year":2005,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History; Regional science; Art history; Sociology","score_opus":0.26390411212968357,"score_gpt":0.4586002540317192,"score_spread":0.19469614190203566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407117824","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031083608,0.9268805,0.00068963366,0.015040439,0.0036993667,0.0010289697,0.00033678274,0.000039945393,0.021200785],"genre_scores_gemma":[0.12328357,0.8520279,0.00013330753,0.013820242,0.006542619,0.00009918774,0.000102880236,0.00009227197,0.003898014],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99650013,0.00006756201,0.0022304624,0.00069824693,0.00010865284,0.0003949243],"domain_scores_gemma":[0.9962063,0.00015387707,0.0024543952,0.0006933691,0.00019138452,0.00030068206],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019686052,0.0003514837,0.0014775906,0.00084936427,0.00022265974,0.0008227532,0.002325936,0.00020437418,0.04192511],"category_scores_gemma":[0.00034283876,0.00039742215,0.00044681458,0.0007093174,0.00011593965,0.003262505,0.0004815503,0.00040671087,0.0006520571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049755217,0.00017579617,0.040578853,0.00010368738,0.00033180966,0.0000017700193,0.000026907099,0.0020370749,0.000026468246,0.004154509,0.9418758,0.010637539],"study_design_scores_gemma":[0.000485433,0.000007578074,0.013595594,0.00035468568,0.000065598455,0.0000037733448,0.0000050985814,0.0013863385,0.00015452564,0.008398597,0.9750616,0.00048116318],"about_ca_topic_score_codex":0.0015604658,"about_ca_topic_score_gemma":0.00014390465,"teacher_disagreement_score":0.09219997,"about_ca_system_score_codex":0.0003894178,"about_ca_system_score_gemma":0.0001703273,"threshold_uncertainty_score":0.99984777},"labels":[],"label_agreement":null},{"id":"W4408024817","doi":"10.1177/09589287241312110","title":"Regional Inequality and the Knowledge Economy: North America and Europe","year":2025,"lang":"en","type":"article","venue":"Journal of European Social Policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inequality; Spatial inequality; Economics; Economic inequality; Population; Economic geography; Social inequality; Geography; Demographic economics; Economy; Economic growth; Development economics; Sociology","score_opus":0.036806976875422004,"score_gpt":0.2617428902398325,"score_spread":0.2249359133644105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408024817","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":[0.49552873,0.0066563985,0.001214046,0.10426772,0.00020874118,0.00014139936,0.00005158261,0.0000113772385,0.39192],"genre_scores_gemma":[0.9891324,0.0030455976,0.000051968203,0.0042961603,0.0018115923,9.404639e-7,0.0000025337163,0.000015252551,0.0016435512],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872833,0.00013851511,0.0008043534,0.00016528775,0.000018567867,0.00014495371],"domain_scores_gemma":[0.9988336,0.000101359714,0.0007845035,0.000110403445,0.00009619492,0.00007395101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077323016,0.000118448865,0.0005062693,0.0002812803,0.00023750078,0.0001353524,0.00023459339,0.000025447127,0.000016726835],"category_scores_gemma":[0.00020848654,0.000095840514,0.00018209722,0.00032276835,0.00039710785,0.00014105663,0.00013874832,0.00019550267,0.00004542128],"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":[0.00010089152,0.000053819997,0.008640091,0.000021326474,0.00031879026,0.0000046261557,0.0015685294,0.000022956694,0.0000011884717,0.965584,0.012156015,0.011527764],"study_design_scores_gemma":[0.0011639465,0.00003341082,0.18616283,0.000008221529,0.000027376074,0.0000072688013,0.00009878018,0.00039529352,1.684317e-7,0.044859745,0.76712555,0.000117396376],"about_ca_topic_score_codex":0.0003383232,"about_ca_topic_score_gemma":0.000048447127,"teacher_disagreement_score":0.9207243,"about_ca_system_score_codex":0.000053910848,"about_ca_system_score_gemma":0.000081204984,"threshold_uncertainty_score":0.39082628},"labels":[],"label_agreement":null},{"id":"W4408879519","doi":"10.1111/iere.12763","title":"The Role of Nonpecuniary Considerations: Location Decisions of College Graduates From Low‐Income Backgrounds","year":2025,"lang":"en","type":"article","venue":"International Economic Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Microeconomics; Agricultural economics; Labour economics","score_opus":0.02570098126045967,"score_gpt":0.2604899275340974,"score_spread":0.23478894627363772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408879519","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20668222,0.5470629,0.004308783,0.05466067,0.003759777,0.001684027,0.0048324936,0.000043678312,0.17696548],"genre_scores_gemma":[0.9064866,0.09190655,0.0004346462,0.0004453124,0.000060530874,0.000054191223,0.00008666991,0.00000974089,0.00051579886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978243,0.000028072764,0.0016934641,0.00030476548,0.000037120626,0.00011223738],"domain_scores_gemma":[0.997505,0.00090418756,0.00096322806,0.00043275525,0.00015845922,0.000036331883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006086092,0.00013603285,0.0006039161,0.00020247154,0.000104194834,0.00004671571,0.00046993964,0.000055738186,0.000576534],"category_scores_gemma":[0.00040962087,0.00012723761,0.00029342735,0.00014624545,0.00013142958,0.00019688765,0.00010400813,0.00007896234,0.00021688273],"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":[0.000009488066,0.000038794275,0.0069940705,0.000036627025,0.00037206482,2.3279013e-7,0.000012686087,0.00027528944,0.000008660976,0.9871348,0.0016409749,0.0034763084],"study_design_scores_gemma":[0.00030589534,0.0000149905545,0.0096469205,0.0008315127,0.00004092769,0.0000015345561,0.000049931245,0.014137642,0.00015688836,0.8543927,0.12026588,0.00015514318],"about_ca_topic_score_codex":0.001538123,"about_ca_topic_score_gemma":0.0005405427,"teacher_disagreement_score":0.69980437,"about_ca_system_score_codex":0.00018720687,"about_ca_system_score_gemma":0.00013028346,"threshold_uncertainty_score":0.6312643},"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":"W4412167301","doi":"10.1007/978-3-031-77623-6_32","title":"Paul Krugman (1953–)","year":2025,"lang":"de","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","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":"University of British Columbia","funders":"","keywords":"Economics","score_opus":0.027901364262577243,"score_gpt":0.19922074698082293,"score_spread":0.17131938271824568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412167301","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015670947,0.011923776,0.0044212127,0.007910006,0.0022243268,0.00037894808,0.0013592405,0.00005834245,0.97156745],"genre_scores_gemma":[0.017258259,0.029394366,0.00085108844,0.002577413,0.00093588233,0.000024105004,0.0006787045,0.00010512508,0.9481751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995265,0.00001023109,0.002346824,0.0016679601,0.00007944352,0.00063055847],"domain_scores_gemma":[0.9968466,0.00015674984,0.0012986067,0.0012760926,0.00011913923,0.00030281892],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00052570115,0.000868204,0.002231426,0.001249389,0.0003145958,0.00034943104,0.00088984356,0.00093161373,0.028286558],"category_scores_gemma":[0.000049829705,0.0010586871,0.0016322476,0.00014776486,0.0002115287,0.00017823167,0.00039047084,0.000658232,0.026788013],"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":[0.000020454003,0.00005424762,0.0008846583,0.00007910228,0.0015363625,0.00002110435,0.000023633878,0.000096022246,2.7399813e-7,0.9494614,0.042527474,0.005295256],"study_design_scores_gemma":[0.0003424777,0.00006317169,0.00019199922,0.0000819713,0.00015488265,0.0000019465697,0.000010958564,0.009763542,0.000002081811,0.21860619,0.76985455,0.0009262539],"about_ca_topic_score_codex":0.0018575343,"about_ca_topic_score_gemma":0.0007151317,"teacher_disagreement_score":0.7308552,"about_ca_system_score_codex":0.00034956596,"about_ca_system_score_gemma":0.000121020516,"threshold_uncertainty_score":0.99918634},"labels":[],"label_agreement":null},{"id":"W4412201537","doi":"10.1080/02723638.2025.2524939","title":"The diverse processes behind neighborhood-level business agglomeration: the cases of Mile-End and Chabanel in Montreal","year":2025,"lang":"en","type":"article","venue":"Urban Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; McGill University","funders":"","keywords":"Mile; Economies of agglomeration; Economic geography; Last mile (transportation); Central business district; Geography; Business; Regional science; Economic growth; Transport engineering; Engineering; Economics","score_opus":0.020441226124830066,"score_gpt":0.19602567856590444,"score_spread":0.17558445244107437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201537","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":[0.9569423,0.025106093,0.0003985912,0.006659847,0.00024360506,0.0003160521,0.00034322645,0.000009936727,0.009980315],"genre_scores_gemma":[0.9952056,0.003974149,0.000018650413,0.00017109085,0.00004613601,0.000029386194,0.000016508726,0.0000055089386,0.00053297455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909806,0.000012016341,0.0004414369,0.00025550745,0.000030812895,0.00016216599],"domain_scores_gemma":[0.9991898,0.0002321642,0.00023368027,0.0002365099,0.00008046214,0.000027394273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002424915,0.000121442295,0.00027134674,0.00030749675,0.00025027833,0.00010592204,0.00022219344,0.000051724313,0.0000312957],"category_scores_gemma":[0.000100876605,0.000088004126,0.000099367215,0.0006675126,0.00022141903,0.00012636675,0.000068623856,0.00007880304,0.0000048403167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030797968,0.00006438698,0.9304172,0.000041699222,0.00014580532,0.0000028658199,0.00033939537,0.00016671322,7.072301e-7,0.06386044,0.0010935835,0.0038364066],"study_design_scores_gemma":[0.00035624582,0.000021894457,0.96312344,0.000021569444,0.000021891909,0.0000016037305,0.00026014107,0.0018732073,0.0000064413157,0.023915408,0.0102749085,0.00012323823],"about_ca_topic_score_codex":0.010648214,"about_ca_topic_score_gemma":0.015877124,"teacher_disagreement_score":0.039945032,"about_ca_system_score_codex":0.00001289282,"about_ca_system_score_gemma":0.00002892127,"threshold_uncertainty_score":0.99593997},"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":"W4412572527","doi":"10.4324/9781003662488","title":"The Industrial Geography of Canada","year":2025,"lang":"en","type":"book","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Economic geography; Geography; Regional science; Human geography","score_opus":0.021687938004766205,"score_gpt":0.16724853549219498,"score_spread":0.14556059748742878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412572527","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000052275445,0.0024920597,0.00006716787,0.002620328,0.0007370868,0.000118517506,0.00044964394,0.0000045979755,0.99345833],"genre_scores_gemma":[0.0020269235,0.001184623,0.000014659046,0.00027622763,0.00020939317,0.0000091455095,0.00006231484,0.000012626312,0.9962041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860126,0.000005031704,0.0008788159,0.00028407256,0.00003846296,0.00019233844],"domain_scores_gemma":[0.9986319,0.00018225273,0.0006828192,0.00040579247,0.000044977805,0.00005228081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030380656,0.00016796446,0.00061632344,0.00019638335,0.00013738545,0.00004256638,0.00045480553,0.00021015822,0.0004254472],"category_scores_gemma":[0.00005161849,0.00014262916,0.0003578694,0.00010542246,0.00008126178,0.00002278791,0.000082287006,0.00022556877,0.000015823145],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043780774,0.0000034014488,0.00089038175,0.0000061134306,0.00028543052,4.5054844e-7,0.0000012636151,0.000027776714,4.329801e-9,0.6460847,0.35209027,0.0006058147],"study_design_scores_gemma":[0.0001081298,0.000009176949,0.00016995575,0.000011847984,0.000013706304,1.11378775e-7,0.0000027518581,0.000217092,8.1817285e-7,0.15072826,0.848606,0.00013215515],"about_ca_topic_score_codex":0.50325495,"about_ca_topic_score_gemma":0.6195329,"teacher_disagreement_score":0.49651572,"about_ca_system_score_codex":0.00021697594,"about_ca_system_score_gemma":0.0012297587,"threshold_uncertainty_score":0.5816248},"labels":[],"label_agreement":null},{"id":"W4412585977","doi":"10.1007/s42973-025-00211-x","title":"The heterogeneous determinants of coagglomeration: a differenced perspective","year":2025,"lang":"en","type":"article","venue":"Japanese Economic Review","topic":"Regional Economics and Spatial Analysis","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":"Université du Québec à Montréal","funders":"","keywords":"Perspective (graphical); Regional science; Economic geography; Economics; Geography; Computer science; Artificial intelligence","score_opus":0.026382387834821996,"score_gpt":0.2722393780985458,"score_spread":0.24585699026372382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412585977","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":[0.46213955,0.43174902,0.00017127504,0.017495923,0.0014402898,0.0014571404,0.00020643095,0.000041252963,0.08529913],"genre_scores_gemma":[0.8910562,0.1050731,0.000027508515,0.00071114453,0.0000569409,0.0000985009,0.000006092447,0.000012097782,0.0029584398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998094,0.00003231264,0.0012371737,0.00040872933,0.00001950269,0.00020823776],"domain_scores_gemma":[0.99846727,0.00015644124,0.000700413,0.0005707429,0.00005402407,0.0000511343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058041885,0.00017911589,0.0009032704,0.00011412084,0.00017815753,0.00006618374,0.00043984977,0.000060580973,0.0002788232],"category_scores_gemma":[0.00012408878,0.00014857763,0.00040596636,0.00014520834,0.00012854968,0.000101877966,0.00008302023,0.000084646854,0.00035580926],"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":[0.00003999113,0.00009205448,0.018604672,0.0007338532,0.0006222072,0.000003205605,0.00032196238,0.000258084,0.0000061031333,0.9637103,0.0036930325,0.011914507],"study_design_scores_gemma":[0.0022727542,0.00034831965,0.02778486,0.0026857257,0.00038203728,0.000056624667,0.000742722,0.06122023,0.00032376827,0.39721125,0.5050429,0.0019287821],"about_ca_topic_score_codex":0.0011016347,"about_ca_topic_score_gemma":0.000691345,"teacher_disagreement_score":0.56649905,"about_ca_system_score_codex":0.00023898258,"about_ca_system_score_gemma":0.00006233392,"threshold_uncertainty_score":0.605882},"labels":[],"label_agreement":null},{"id":"W4412778648","doi":"10.1007/978-3-031-90625-1_11","title":"Yorgos Papageorgiou (1936–): Theorizing Urban Structure","year":2025,"lang":"en","type":"book-chapter","venue":"Footprints of regional science","topic":"Regional Economics and Spatial Analysis","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":"McMaster University","funders":"","keywords":"Political science; Law and economics; Sociology","score_opus":0.02457159665328737,"score_gpt":0.21174656095411434,"score_spread":0.18717496430082697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412778648","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031556645,0.0021302197,0.00064894377,0.002279769,0.0007395313,0.00030514688,0.0004378404,0.000034263885,0.99026865],"genre_scores_gemma":[0.5852573,0.0013418412,0.0013532309,0.000567566,0.00040111353,0.000009460809,0.00006200926,0.000055598088,0.41095188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728715,0.0000053762965,0.0009997442,0.001099975,0.00020807922,0.00039967342],"domain_scores_gemma":[0.9974914,0.000095724376,0.0011702429,0.00081839506,0.00024623252,0.00017801476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006278834,0.00038637096,0.0009324349,0.0009232052,0.00026392992,0.000101896345,0.001471668,0.0002904497,0.0008454481],"category_scores_gemma":[0.00012582091,0.00041163355,0.00043100346,0.00032452727,0.0011418684,0.0001913502,0.00039612112,0.00036657465,0.00016140683],"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":[0.000013514585,0.000012947653,0.00078351994,0.00003097986,0.00008723128,0.0000029817343,0.0000482458,0.000063935055,0.000043487704,0.9939998,0.0023124851,0.002600916],"study_design_scores_gemma":[0.00015191469,0.000037341066,0.0011452881,0.00011497106,0.00002085671,0.0000041135645,0.000007572981,0.00033565634,0.000079707366,0.58432084,0.41337624,0.00040547497],"about_ca_topic_score_codex":0.00034107198,"about_ca_topic_score_gemma":0.00007676877,"teacher_disagreement_score":0.58210164,"about_ca_system_score_codex":0.0002714696,"about_ca_system_score_gemma":0.00031727777,"threshold_uncertainty_score":0.9998335},"labels":[],"label_agreement":null},{"id":"W4413514626","doi":"10.64628/aam.t6jd96yy6","title":"Cities lead the charge on the coronavirus front lines","year":2020,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","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":"University of Toronto","funders":"","keywords":"Lead (geology); Front (military); Coronavirus disease 2019 (COVID-19); Coronavirus; Charge (physics); Business; Physics; Meteorology; Geology; Geomorphology; Medicine; Particle physics","score_opus":0.11176690022294801,"score_gpt":0.2258935620440039,"score_spread":0.1141266618210559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413514626","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2898235,0.0018462064,0.0019458127,0.44276822,0.0003767533,0.00029217184,0.00017720326,0.00005694089,0.26271322],"genre_scores_gemma":[0.9677705,0.00053579867,0.00002904826,0.02324369,0.00036762783,0.000023297023,0.00000759633,0.000013223775,0.008009199],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920166,0.000010850096,0.0003498397,0.00025035726,0.00002728454,0.0001600223],"domain_scores_gemma":[0.9994113,0.00011955353,0.00015815353,0.0002478406,0.000014877485,0.000048312915],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021627049,0.000117801705,0.0002490017,0.00003084887,0.00019434809,0.00010588273,0.00036717005,0.000038986425,0.003699062],"category_scores_gemma":[0.000065106535,0.00006771539,0.00019665614,0.00007823717,0.00007636552,0.000061370265,0.00005580829,0.00012513563,0.005745933],"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":[0.000013655549,0.00001529804,0.003972323,0.0000024013182,0.000080621096,6.686811e-7,0.00037289184,0.00015831908,0.000005874592,0.973574,0.021109577,0.0006944138],"study_design_scores_gemma":[0.00025356293,0.000112090085,0.0058709527,0.0000039830657,0.0000115777775,7.4918916e-7,0.0004189478,0.088973776,0.00017708678,0.042375382,0.861501,0.0003009209],"about_ca_topic_score_codex":0.0009391605,"about_ca_topic_score_gemma":0.00018977042,"teacher_disagreement_score":0.9311986,"about_ca_system_score_codex":0.000023463437,"about_ca_system_score_gemma":0.000008622861,"threshold_uncertainty_score":0.9972117},"labels":[],"label_agreement":null},{"id":"W4414339616","doi":"10.1177/0308518x251375706","title":"Constructivist economic geographies","year":2025,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constructivism (international relations); Proposition; Social constructivism; Openness to experience; Constructivist teaching methods; Formalism (music)","score_opus":0.009254772339577059,"score_gpt":0.17822555556479844,"score_spread":0.16897078322522138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414339616","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":[0.8734684,0.009537249,0.0027451294,0.004268065,0.00018071312,0.00014025134,0.000054047883,0.000024133073,0.10958203],"genre_scores_gemma":[0.99508333,0.0017872878,0.00044796002,0.00029905897,0.00005857983,0.000017231372,0.000015712105,0.00000833069,0.002282528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902815,0.000007957077,0.0003281193,0.00043901146,0.0000073676747,0.00018937112],"domain_scores_gemma":[0.9995387,0.000066166715,0.00015573525,0.00016078257,0.000001736653,0.00007684843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020631331,0.00016419163,0.00037457302,0.00026299534,0.00020595118,0.00013084816,0.00007863716,0.00007677329,0.00017073813],"category_scores_gemma":[0.000005816928,0.00019334946,0.00007463261,0.000036366982,0.00021367357,0.00016534775,0.00007740945,0.0000972054,0.00007342556],"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":[0.0000113629385,0.000009370637,0.47186863,0.0000129904165,0.00012810771,0.000001612305,0.00012481892,0.00038999468,0.0000011726974,0.5259898,0.00066278194,0.0007993516],"study_design_scores_gemma":[0.000888836,0.000055525317,0.14053714,0.00003138976,0.00003648654,0.000009231303,0.0005433496,0.013630412,0.000024407347,0.20512806,0.63856304,0.00055210583],"about_ca_topic_score_codex":0.0002930309,"about_ca_topic_score_gemma":0.000015367661,"teacher_disagreement_score":0.6379003,"about_ca_system_score_codex":0.00003946586,"about_ca_system_score_gemma":0.000007658382,"threshold_uncertainty_score":0.78845626},"labels":[],"label_agreement":null},{"id":"W4414639553","doi":"10.1007/978-981-96-7933-1_2","title":"Cities in a Changing World","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in 21st century human settlements","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Urban agglomeration; Population; China; Megacity; World population; Scale (ratio)","score_opus":0.021558180684192754,"score_gpt":0.24366909011948895,"score_spread":0.2221109094352962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414639553","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036119414,0.024866013,0.000028195036,0.00026551957,0.0007510098,0.00031240165,0.000583836,0.000018137336,0.97281367],"genre_scores_gemma":[0.05856189,0.048213176,0.00020142861,0.0009416895,0.00030947453,0.0000921332,0.0008261824,0.00008398767,0.89077],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973642,0.000007857318,0.0013047718,0.00076926925,0.00006630335,0.00048756224],"domain_scores_gemma":[0.99881446,0.000046146775,0.0006515582,0.00041004166,0.000019969493,0.000057813948],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003404954,0.00039711795,0.00095500407,0.0048530637,0.00010471513,0.00006709373,0.00043305766,0.00015580919,0.0021221754],"category_scores_gemma":[0.000011608492,0.000516711,0.00024989547,0.0003427666,0.00008616296,0.00032428795,0.00022318093,0.00039499707,0.00019952536],"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":[0.000007924137,0.000031885513,0.00918487,0.000082933155,0.000071654664,0.000013645974,0.00013255149,0.0001519529,1.4571175e-7,0.9854707,0.00030736555,0.0045443485],"study_design_scores_gemma":[0.00042789997,0.000014674217,0.00028423307,0.0002981628,0.000008087669,2.1017621e-7,0.000056901146,0.000110661,6.8437635e-7,0.27846903,0.71994567,0.00038377635],"about_ca_topic_score_codex":0.00012619697,"about_ca_topic_score_gemma":0.004693223,"teacher_disagreement_score":0.71963835,"about_ca_system_score_codex":0.00061706937,"about_ca_system_score_gemma":0.000023857885,"threshold_uncertainty_score":0.99972844},"labels":[],"label_agreement":null},{"id":"W4414653948","doi":"10.1016/j.habitatint.2025.103596","title":"Unveiling local dynamics of Chinese cities: A multidimensional scale-adjusted analysis","year":2025,"lang":"en","type":"article","venue":"Habitat International","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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":"University of Alberta","funders":"Major Science and Technology Projects in Yunnan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Metropolitan area; China; Multidimensional scaling; Per capita; Scaling; Urban planning; Urbanization; Scale (ratio); Urban economics","score_opus":0.011554570618175629,"score_gpt":0.2293835808246977,"score_spread":0.21782901020652207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414653948","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":[0.6884922,0.00025250475,0.28177312,0.002830046,0.0005755873,0.000079520185,0.0005321935,0.00002088703,0.025443962],"genre_scores_gemma":[0.9935889,0.00006488409,0.00244406,0.00029439048,0.000049899765,0.00001384192,0.0003896025,0.0000105077215,0.0031439173],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843806,0.000012304678,0.0009057187,0.0003982251,0.00007735313,0.00016835837],"domain_scores_gemma":[0.9990288,0.0001326706,0.00037086513,0.00024480565,0.00016717734,0.000055676952],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002936181,0.00016365388,0.0005661368,0.0011757265,0.000067297806,0.000036002042,0.00031731522,0.00009367646,0.00094810897],"category_scores_gemma":[0.000095078234,0.00017657521,0.0005547452,0.0008156936,0.00014121193,0.0001443258,0.000113685455,0.00011593294,0.0000955871],"study_design_candidate":"simulation_or_modeling","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":[0.000035117722,0.00009968794,0.57873124,0.00001123029,0.001507956,0.0000014079335,0.00007249258,0.025339724,0.0000063466155,0.39348724,0.00017982468,0.00052771665],"study_design_scores_gemma":[0.0004207115,0.000013562258,0.20461042,0.000012438239,0.000058638958,8.745095e-7,0.00007770291,0.75992227,0.000010405445,0.033224143,0.0015002288,0.00014860228],"about_ca_topic_score_codex":0.001268466,"about_ca_topic_score_gemma":0.0025062328,"teacher_disagreement_score":0.73458254,"about_ca_system_score_codex":0.00025800813,"about_ca_system_score_gemma":0.00004012598,"threshold_uncertainty_score":0.99996513},"labels":[],"label_agreement":null},{"id":"W4416573472","doi":"10.7202/1121800ar","title":"Spatial Misallocation in Canada","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Productivity; Subsidy; Production (economics); Capital (architecture); Factors of production; Human capital","score_opus":0.018334566509810572,"score_gpt":0.19201650593506528,"score_spread":0.1736819394252547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416573472","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":[0.94822127,0.0018928408,0.0026788465,0.028374571,0.0010734537,0.00007012923,0.000018648014,0.0000010992004,0.017669158],"genre_scores_gemma":[0.99854064,0.000054186185,0.00013248436,0.0009940997,0.000044576504,8.767701e-7,9.20595e-7,0.000002464611,0.00022972543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990256,0.000005670472,0.0005111298,0.00016329557,0.00005641993,0.00023790172],"domain_scores_gemma":[0.99920315,0.000029384339,0.00027165437,0.000112746406,0.00011544051,0.00026762142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006028652,0.00006366503,0.00021422574,0.0008455228,0.00011394309,0.00005936651,0.00047146188,0.000023540093,0.000089925365],"category_scores_gemma":[0.00014281085,0.00006991869,0.000058946385,0.0007473035,0.0001675437,0.0002091623,0.00001013288,0.00010872638,0.000008784598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060270004,0.000007028913,0.5769545,0.000004282673,0.000017133963,0.000030176085,0.00007884763,0.0030196018,0.00001289609,0.41359776,0.0033423058,0.002929469],"study_design_scores_gemma":[0.00033340853,0.000020648697,0.81206566,0.000048611637,0.0000037496575,0.000020161784,0.00015885632,0.008638169,0.00003209928,0.054859154,0.12364868,0.00017082231],"about_ca_topic_score_codex":0.99388015,"about_ca_topic_score_gemma":0.99887353,"teacher_disagreement_score":0.35873863,"about_ca_system_score_codex":0.001951163,"about_ca_system_score_gemma":0.012347199,"threshold_uncertainty_score":0.99325186},"labels":[],"label_agreement":null},{"id":"W4416775362","doi":"10.1080/00036846.2025.2591966","title":"Drivers, trends, and dynamic interactions in long-run sectoral relationships: evidence from Canada","year":2025,"lang":"en","type":"article","venue":"Applied Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Productivity; Work (physics); Cointegration; General equilibrium theory","score_opus":0.027486619994266093,"score_gpt":0.2227586677159819,"score_spread":0.1952720477217158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416775362","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":[0.98216856,0.0008717562,0.0010990654,0.004480374,0.00035194447,0.000106946696,0.00018597866,0.000014097188,0.010721294],"genre_scores_gemma":[0.9970143,0.0009892622,0.00041310012,0.00035861786,0.000034928882,0.00003158427,0.000097926895,0.000014178886,0.0010461232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854136,0.000010387067,0.00067666883,0.00054321677,0.000012331045,0.00021603976],"domain_scores_gemma":[0.9990931,0.00025259552,0.00026071057,0.00030730263,0.000009714504,0.00007658924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020296859,0.00017085281,0.00043737915,0.00043043168,0.00013536602,0.00009861451,0.00020907751,0.000072818875,0.00023791457],"category_scores_gemma":[0.000031655676,0.00023172579,0.00007129366,0.0002470002,0.000051090352,0.00024322691,0.00008797197,0.00024899867,0.00004960613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035912188,0.000036405894,0.7806539,0.000011455657,0.0001928275,0.0000020890043,0.00019799793,0.012281821,0.000005990287,0.20099047,0.0010503724,0.0045407633],"study_design_scores_gemma":[0.00044423682,0.000005007639,0.89455634,0.000026045978,0.000018343795,6.68993e-7,0.00014773397,0.04629511,0.0000097244765,0.050853673,0.0073420154,0.0003010683],"about_ca_topic_score_codex":0.51755065,"about_ca_topic_score_gemma":0.9543585,"teacher_disagreement_score":0.43680787,"about_ca_system_score_codex":0.0007743699,"about_ca_system_score_gemma":0.00012370467,"threshold_uncertainty_score":0.94495034},"labels":[],"label_agreement":null},{"id":"W4417503795","doi":"10.1080/10527001.2025.2592456","title":"The Socioeconomic Impact of a Large High-Tech Development Project on the Surrounding Residential Community: An Exploration of Residential Property Prices and Community Disruption","year":2025,"lang":"en","type":"article","venue":"Journal of Housing Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Niagara College","funders":"","keywords":"Residential property; Residential real estate; Socioeconomic status; Property value; Property (philosophy); House price; Property market","score_opus":0.20569313557900096,"score_gpt":0.3972848777897916,"score_spread":0.19159174221079064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417503795","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":[0.9969971,0.00024594596,0.0007593724,0.0013700883,0.00008853951,0.00022513914,0.0000137283805,0.0000026293646,0.00029744458],"genre_scores_gemma":[0.99896055,0.00073416636,0.00013150796,0.000012409443,0.00005604728,0.000007355002,0.0000051961792,0.000011099471,0.000081663246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99753815,0.00094277016,0.0010422593,0.000110833906,0.00013695387,0.00022902462],"domain_scores_gemma":[0.9972276,0.0010734862,0.0009704832,0.00036908727,0.00032153114,0.000037814913],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.016928123,0.000105808314,0.00040485163,0.0006680684,0.0018149138,0.00029896753,0.00056533044,0.0000727615,0.000012082967],"category_scores_gemma":[0.0005530678,0.00006211077,0.00015786612,0.00030225018,0.00025485945,0.00066205824,0.00022253304,0.001010839,0.0000022087142],"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":[0.008435041,0.006835461,0.3963237,0.001212733,0.0071611484,0.00001660589,0.09551433,0.007220349,0.010659678,0.43036318,0.004945893,0.031311877],"study_design_scores_gemma":[0.0042107315,0.005001089,0.64499205,0.0011095697,0.00013299666,0.000016872233,0.052363407,0.01331975,0.0065212124,0.26855737,0.0030622603,0.00071268884],"about_ca_topic_score_codex":0.015980195,"about_ca_topic_score_gemma":0.0062586307,"teacher_disagreement_score":0.24866831,"about_ca_system_score_codex":0.00041190602,"about_ca_system_score_gemma":0.00038549158,"threshold_uncertainty_score":0.9994846},"labels":[],"label_agreement":null},{"id":"W4417516289","doi":"10.1162/rest.a.1681","title":"The Effect of Working from Home on the Agglomeration Economies of Cities: Evidence from Advertised Wages","year":2025,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economies of agglomeration; Productivity; Wage; Empirical evidence; Interpersonal communication; Efficiency wage","score_opus":0.033171700219704,"score_gpt":0.23673691313117365,"score_spread":0.20356521291146965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417516289","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":[0.7638861,0.2219709,0.0024993906,0.0068482505,0.00039455757,0.00063295016,0.0019229207,0.0000040934115,0.0018408233],"genre_scores_gemma":[0.5786326,0.42076296,0.00021425217,0.00022894987,0.000032065163,0.00002221741,0.00002338613,0.00000765854,0.00007588845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982451,0.000092926486,0.0012611371,0.00024929334,0.000022616205,0.00012889854],"domain_scores_gemma":[0.9926344,0.0055116937,0.0012455429,0.0005450049,0.00003866527,0.00002469701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013188059,0.00017060862,0.0008879238,0.00006493754,0.00017293265,0.00005659247,0.00044052774,0.000047477526,0.000075254524],"category_scores_gemma":[0.00046536163,0.000103152845,0.0001969828,0.0000945045,0.00030472156,0.00006520167,0.000095434596,0.00010594952,0.000008663117],"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":[0.00009894978,0.0000142977815,0.012214656,0.00058097875,0.0006650675,1.3448535e-7,0.00018001703,0.00090840907,0.000005330973,0.9532199,0.0011202014,0.030992066],"study_design_scores_gemma":[0.0012116611,0.0006148658,0.05691459,0.009458667,0.0006804141,5.838855e-7,0.0002914887,0.10512595,0.0011297128,0.7822693,0.041621305,0.00068147323],"about_ca_topic_score_codex":0.001311849,"about_ca_topic_score_gemma":0.00035350453,"teacher_disagreement_score":0.19879207,"about_ca_system_score_codex":0.000047974023,"about_ca_system_score_gemma":0.000035621688,"threshold_uncertainty_score":0.4206451},"labels":[],"label_agreement":null},{"id":"W47293513","doi":"","title":"The Transformation of Economic Structure and Its Environmental Implications for a Digital City: An Input-Output Analysis for Austin, Texas */ la Transformation De la Structure Economique D'une Ville Digitale et Ses Implications Environnementales","year":2005,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Information and Communications Technology; Welfare economics; Economy; Regional science; Political science; Humanities; Sociology; Geography; Economics; Art","score_opus":0.020475847618754987,"score_gpt":0.23950367479964396,"score_spread":0.21902782718088898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W47293513","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":[0.9269568,0.0022441805,0.020070894,0.038844153,0.00007381319,0.00039984114,0.011125864,0.0000021110052,0.0002823786],"genre_scores_gemma":[0.99693555,0.0014929534,0.0009050007,0.00018800574,0.00011521246,0.000015129148,0.00022721993,0.000014544979,0.00010641105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983348,0.000028813074,0.000940245,0.0002963387,0.000044105058,0.00035564406],"domain_scores_gemma":[0.99808776,0.0003579718,0.0008833489,0.00019138715,0.00007002098,0.00040953304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083847943,0.00019167125,0.00039671222,0.0005878533,0.00067574903,0.0005713478,0.0004935221,0.00014627539,0.000035093984],"category_scores_gemma":[0.000052546235,0.00019487132,0.00032693622,0.00026487597,0.0010173706,0.002254958,0.000013611862,0.00014637668,0.0000010883741],"study_design_candidate":"theoretical_or_conceptual","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":[0.000046142944,0.00006705313,0.058959935,0.000040748568,0.00059844815,2.5065677e-7,0.0029726827,0.08818774,0.00023757579,0.81410885,0.00023730386,0.03454325],"study_design_scores_gemma":[0.0014821675,0.00037267705,0.4452303,0.000043831802,0.0004724451,0.00027222832,0.0013525799,0.09503339,0.00040901027,0.13062127,0.3240392,0.0006709107],"about_ca_topic_score_codex":0.0009222846,"about_ca_topic_score_gemma":0.028934324,"teacher_disagreement_score":0.6834876,"about_ca_system_score_codex":0.000771829,"about_ca_system_score_gemma":0.0007633953,"threshold_uncertainty_score":0.9887851},"labels":[],"label_agreement":null},{"id":"W583069637","doi":"","title":"High Tech Atlanta: Global Links Deep in Dixie/ Atlanta et la Haute Technologie : Des Liens Globaux Bien Ancres Dans le Dixie","year":2005,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Atlanta; Humanities; Metropolitan area; China; Political science; Library science; Geography; Art; Archaeology; Computer science","score_opus":0.021499249121208524,"score_gpt":0.2315519396156862,"score_spread":0.2100526904944777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W583069637","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":[0.91261655,0.013398757,0.0025085912,0.06316232,0.0005406671,0.00012745167,0.00029673957,0.000010470108,0.007338478],"genre_scores_gemma":[0.98508394,0.008112367,0.0047760643,0.0009927003,0.0003452258,0.0000040160676,0.000010708008,0.000019014455,0.0006559652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9967639,0.000061804756,0.0012166365,0.00065723853,0.00019484262,0.0011056009],"domain_scores_gemma":[0.9974284,0.00011610701,0.00092514284,0.000389748,0.00022405754,0.0009165283],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0022787119,0.00033433922,0.00080422795,0.0011152457,0.00058859796,0.0004839993,0.0017700926,0.000459095,0.00009022975],"category_scores_gemma":[0.00034284522,0.00037146942,0.00032325304,0.00207321,0.0033078322,0.0013056716,0.00012627848,0.00078374764,0.00007916414],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018911385,0.00009747979,0.37832752,0.000017258224,0.00008443989,0.00037803565,0.00034213904,0.023931712,0.000032138247,0.5763577,0.0017303334,0.018682292],"study_design_scores_gemma":[0.0012093206,0.00027129316,0.5424209,0.00037711667,0.000050115126,0.001989833,0.00071582175,0.01933258,0.00009109928,0.10455454,0.32803217,0.000955156],"about_ca_topic_score_codex":0.14310706,"about_ca_topic_score_gemma":0.5041457,"teacher_disagreement_score":0.4718032,"about_ca_system_score_codex":0.0025903056,"about_ca_system_score_gemma":0.0031212834,"threshold_uncertainty_score":0.9998737},"labels":[],"label_agreement":null},{"id":"W653542324","doi":"10.1257/app.20160510","title":"Why Has Urban Inequality Increased?","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Applied Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Complementarity (molecular biology); Wage inequality; Inequality; Economies of agglomeration; Context (archaeology); Wage; Capital (architecture); Labour economics; Microeconomics; Geography","score_opus":0.02802002293602031,"score_gpt":0.21415587998610727,"score_spread":0.18613585705008695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W653542324","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":[0.9209444,0.00022122393,0.005699944,0.006874775,0.0011167725,0.00024611913,0.00027772,0.00007830537,0.06454073],"genre_scores_gemma":[0.98445916,0.000773404,0.0023385095,0.009034498,0.0029827384,0.000033114142,0.000041053223,0.00011103734,0.00022648422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956777,0.000036565238,0.0022948356,0.0010464834,0.00003484175,0.0009095836],"domain_scores_gemma":[0.99573797,0.00013095567,0.0025942847,0.0008544315,0.00005657835,0.00062575407],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014335444,0.00053647475,0.0015361533,0.0006312022,0.00072461506,0.00074759935,0.0010116529,0.00015078067,0.002440969],"category_scores_gemma":[0.000044168635,0.0006532445,0.0005752291,0.00021675661,0.0012800369,0.0005624585,0.00021700014,0.00048403017,0.005696997],"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":[0.00029800928,0.00022567723,0.073849306,0.000011698714,0.0012317848,0.0000059142117,0.0008848627,0.0019103633,0.000030915908,0.84933126,0.06282497,0.009395232],"study_design_scores_gemma":[0.0015172919,0.00038025595,0.013797851,0.000007919801,0.00005194698,0.00011076564,0.00048391602,0.009607507,0.00016478525,0.16738285,0.8050711,0.0014237743],"about_ca_topic_score_codex":0.005522592,"about_ca_topic_score_gemma":0.00155443,"teacher_disagreement_score":0.74224615,"about_ca_system_score_codex":0.0011196735,"about_ca_system_score_gemma":0.00020478113,"threshold_uncertainty_score":0.9995919},"labels":[],"label_agreement":null},{"id":"W67361582","doi":"","title":"Regional and Sectoral Growth in Canada's Emerging Economy","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Government (linguistics); Agency (philosophy); Public policy; Natural resource; Economic growth; Economic geography; Economy; Economics; Business; Political science; Marketing","score_opus":0.022965901313410707,"score_gpt":0.1871570568300576,"score_spread":0.1641911555166469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W67361582","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":[0.96893495,0.0016916204,0.00021772197,0.0257777,0.00022392186,0.000046216184,0.000013436376,0.0000011341103,0.003093287],"genre_scores_gemma":[0.9980209,0.0001458573,0.00035746384,0.001330324,0.00010311008,0.000001168463,0.000001066461,0.000007097473,0.000033034514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986925,0.0000057367038,0.00057812216,0.00026765498,0.0000686786,0.00038729585],"domain_scores_gemma":[0.99869096,0.000025565647,0.00039166134,0.0000985291,0.00011956589,0.0006737397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061494793,0.00011382487,0.00031712282,0.00081436883,0.00019033127,0.00010323615,0.00042513225,0.000032756336,0.000062330815],"category_scores_gemma":[0.00006896833,0.0001246683,0.000077638106,0.00051762117,0.0003447187,0.00051482534,0.00001764554,0.00017040323,0.000006920553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069510247,0.000008188243,0.3000869,0.0000063672023,0.000022861866,0.000109797176,0.00026957304,0.004591609,0.0000070240544,0.69386023,0.0007129668,0.00031755588],"study_design_scores_gemma":[0.0013819289,0.00010083958,0.50634766,0.00009899132,0.000008541977,0.000574453,0.000586075,0.002804913,0.000036174704,0.4215601,0.06585798,0.00064235815],"about_ca_topic_score_codex":0.97030747,"about_ca_topic_score_gemma":0.98692983,"teacher_disagreement_score":0.27230012,"about_ca_system_score_codex":0.0019901206,"about_ca_system_score_gemma":0.0073331436,"threshold_uncertainty_score":0.99829435},"labels":[],"label_agreement":null},{"id":"W6903577800","doi":"10.13140/rg.2.2.23222.34882","title":"How Large Are the Contributions of Cities to the Development of Rural Communities? A Market Access Approach for a Quarter Century of Evidence from Chile","year":2018,"lang":"en","type":"article","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Market access; Rural area; Work (physics); Urbanization","score_opus":0.08848581769671661,"score_gpt":0.2625350154192783,"score_spread":0.17404919772256172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903577800","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":[0.83924186,0.0008448896,0.14510083,0.008362491,0.000116549665,0.0006231679,0.0037214071,0.0000055969094,0.0019832174],"genre_scores_gemma":[0.9978411,0.0001338843,0.0013654623,0.00018448952,0.000060354603,0.000094556075,0.00006335733,0.000006356981,0.00025044224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991071,0.000027984808,0.00057354005,0.000093685834,0.000039079197,0.00015861142],"domain_scores_gemma":[0.9985059,0.00030154292,0.00058001204,0.0003927812,0.00019027096,0.000029531999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064031594,0.00009798826,0.00041223358,0.00009496533,0.00019635045,0.00006427572,0.00065277185,0.000042206302,0.00018442779],"category_scores_gemma":[0.00008480075,0.000059348586,0.00017361196,0.00015104563,0.00014354079,0.00015421362,0.00016740279,0.000051574654,0.0000025240656],"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":[0.00088126503,0.0010497832,0.41110432,0.00035355127,0.0034540526,8.452488e-8,0.06460208,0.00043883786,0.00010657401,0.4704422,0.044269174,0.003298085],"study_design_scores_gemma":[0.0028356884,0.0005285126,0.43968573,0.0004596402,0.0001969102,0.0000013134872,0.22758575,0.12232093,0.005555968,0.030298082,0.16941297,0.0011185011],"about_ca_topic_score_codex":0.0017979501,"about_ca_topic_score_gemma":0.0026821306,"teacher_disagreement_score":0.44014412,"about_ca_system_score_codex":0.000037207392,"about_ca_system_score_gemma":0.000031868232,"threshold_uncertainty_score":0.27179748},"labels":[],"label_agreement":null},{"id":"W6920889753","doi":"10.6084/m9.figshare.19768609","title":"Diversity in global urban sprawl patterns revealed by Zipfian dynamics","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Zipf's law; Urban agglomeration; Megacity; Urbanization; Urban planning; Spatial ecology; Human settlement","score_opus":0.03409824300156043,"score_gpt":0.20140947071920806,"score_spread":0.16731122771764761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920889753","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1887389,0.0005543241,0.000022847466,0.0013726528,0.000106494845,0.00016415457,0.7977012,0.000026062113,0.011313373],"genre_scores_gemma":[0.94693524,0.000014840965,0.000008671723,0.0005405225,0.00003661414,0.000062100335,0.0515607,0.000010809294,0.00083050854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893314,0.000018114399,0.00036072062,0.00039521404,0.00004654251,0.00024625455],"domain_scores_gemma":[0.9993957,0.000022420745,0.00024815372,0.00024000907,0.000012882858,0.00008078244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011243841,0.00012459146,0.0003082301,0.00011090877,0.00041527892,0.00003890671,0.00044594353,0.000051997922,0.09807161],"category_scores_gemma":[0.000061519866,0.0001733833,0.00016602808,0.00029375215,0.0000046479718,0.00011979615,0.0010771798,0.00016317646,0.0006759378],"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":[0.000010190734,0.00008791795,0.7976521,0.0000203329,0.00004221623,0.000017966726,0.00011681319,0.00051606406,5.9901716e-8,0.0075098067,0.19375186,0.00027466833],"study_design_scores_gemma":[0.0010876751,0.00010620376,0.51013553,0.00005780026,0.000009366122,0.0000070997908,0.00023412707,0.05863619,8.5929844e-7,0.010956178,0.4179482,0.0008207543],"about_ca_topic_score_codex":0.0032452836,"about_ca_topic_score_gemma":0.0023430828,"teacher_disagreement_score":0.75819635,"about_ca_system_score_codex":0.0007694836,"about_ca_system_score_gemma":0.000016910713,"threshold_uncertainty_score":0.9027529},"labels":[],"label_agreement":null},{"id":"W6931830337","doi":"10.5683/sp2/o1mkrs","title":"Data from: Root functional trait and soil microbial coordination: implications for soil respiration in riparian agroecosystems","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; University of Guelph; University of British Columbia","funders":"","keywords":"Rhizosphere; Agroecosystem; Riparian zone; Soil respiration; Soil biology; Abundance (ecology); Soil water; Sampling (signal processing); Respiration","score_opus":0.08137843545024162,"score_gpt":0.25633453344029045,"score_spread":0.17495609799004883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931830337","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008042734,0.0011798016,0.001413213,0.006907747,0.00030269712,0.0003248174,0.9888091,0.000009480012,0.0002488651],"genre_scores_gemma":[0.0015376256,0.00044197674,0.00010397995,0.0003056028,0.0008910939,0.00018890513,0.9963388,0.000025449583,0.0001665903],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975313,0.00003128661,0.0011211501,0.0010433246,0.000037957285,0.00023499486],"domain_scores_gemma":[0.997863,0.00015278476,0.00072118343,0.0010783972,0.00008943312,0.000095205876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005827869,0.0002623993,0.00075203594,0.00037926837,0.00017374221,0.00029717918,0.0004980826,0.00035183824,0.00018569939],"category_scores_gemma":[0.00018826737,0.00033015248,0.00015709635,0.00019280166,0.00004689166,0.00028491075,0.00017574924,0.00018354286,0.000021685613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022378394,0.000086270345,0.0005606528,0.000044928584,0.00016681978,0.0000011709468,0.000008710815,0.00018736684,0.00000614078,0.008658796,0.99003905,0.00021770119],"study_design_scores_gemma":[0.00073174614,0.000022342543,0.013590136,0.00002843143,0.000060214985,0.000003224075,0.000007808693,0.0040877047,0.0000013706209,0.01116211,0.96996343,0.00034149134],"about_ca_topic_score_codex":0.14379056,"about_ca_topic_score_gemma":0.66621894,"teacher_disagreement_score":0.5224284,"about_ca_system_score_codex":0.00017674154,"about_ca_system_score_gemma":0.00014236673,"threshold_uncertainty_score":0.99991506},"labels":[],"label_agreement":null},{"id":"W6948135498","doi":"10.48550/arxiv.1003.0905","title":"A Signature of Cosmic Strings Wakes in the CMB Polarization","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Cosmic microwave background; Polarization (electrochemistry); Cosmic string; Amplitude; Photon; Redshift; Ionization; Wake","score_opus":0.05288514653467404,"score_gpt":0.15867288721748637,"score_spread":0.10578774068281233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6948135498","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":[0.9835759,0.00024377457,0.010587371,0.0004608599,0.00019546812,0.00020497743,0.00016826435,0.000010982616,0.004552425],"genre_scores_gemma":[0.9987593,0.00042193703,0.00008376767,0.000119082346,0.000052379844,9.318143e-7,0.00007641909,0.000013408665,0.0004727468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885714,0.000026973205,0.0003959629,0.0005327614,0.000017742044,0.0001694214],"domain_scores_gemma":[0.99868745,0.00006783143,0.00063698913,0.00052171166,0.00004635275,0.00003969214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003987997,0.00017807582,0.00045536418,0.00042713943,0.00005696138,0.000046361747,0.00073270843,0.00037862145,0.00009675088],"category_scores_gemma":[0.000041176856,0.00018889719,0.00027304052,0.00038911193,0.00009038672,0.000115567265,0.00019737135,0.00070092623,0.000036959325],"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":[0.000023264507,0.00009721423,0.060916737,0.000043838165,0.00009752996,0.000014220427,0.00029349362,0.06849833,0.00003352371,0.8698302,0.000070372786,0.00008127854],"study_design_scores_gemma":[0.00070740836,0.000051103,0.057864383,0.000056228047,0.00007536637,0.0000015728017,0.00027817066,0.3067723,0.00005273715,0.6297918,0.0037573914,0.0005915319],"about_ca_topic_score_codex":0.0033407968,"about_ca_topic_score_gemma":0.0010243836,"teacher_disagreement_score":0.2400384,"about_ca_system_score_codex":0.00008331769,"about_ca_system_score_gemma":0.000044192257,"threshold_uncertainty_score":0.7703004},"labels":[],"label_agreement":null},{"id":"W6957585244","doi":"10.60692/bwn9n-t7693","title":"From sequential to parallel growth of cities: Theory and evidence from Canada","year":2015,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Convergence (economics); Distribution (mathematics); Club; Population growth; Mode (computer interface); Population; Population size","score_opus":0.05927365986940703,"score_gpt":0.19441049827855453,"score_spread":0.1351368384091475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957585244","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":[0.95859885,0.00006937882,0.038337715,0.000251943,0.00028425103,0.000112790745,0.0009960609,0.000012189114,0.0013368134],"genre_scores_gemma":[0.99919176,0.0000011771767,0.00037671716,0.00021798958,0.00008939631,0.000015431327,0.00002844874,0.0000052818336,0.00007382263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989119,0.000023807996,0.0007300129,0.0001573981,0.000060448256,0.00011639832],"domain_scores_gemma":[0.99908924,0.000029248375,0.00043738837,0.00021250341,0.00008982791,0.00014181697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043123358,0.00010743753,0.00034797902,0.00014411652,0.000036893893,0.00009075402,0.00016000835,0.00005172587,0.000042320535],"category_scores_gemma":[0.00007671692,0.000107006024,0.000050152303,0.000091741545,0.000021036545,0.00044553075,0.00006183466,0.000036874913,0.00015573362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002210589,0.0000016020288,0.87256926,0.0000920543,0.00027194072,0.0000020985756,0.07488273,0.0015492981,5.828445e-7,0.049371425,0.0009621764,0.000075753596],"study_design_scores_gemma":[0.004821013,0.00025685612,0.8259603,0.0009293076,0.00016984377,0.000011309163,0.08481656,0.056078084,0.0005343437,0.020495621,0.003820732,0.0021060323],"about_ca_topic_score_codex":0.51099336,"about_ca_topic_score_gemma":0.0052360664,"teacher_disagreement_score":0.5057573,"about_ca_system_score_codex":0.00017424807,"about_ca_system_score_gemma":0.00008315185,"threshold_uncertainty_score":0.49226296},"labels":[],"label_agreement":null},{"id":"W6957864617","doi":"10.60692/813p5-ejn73","title":"Measurements of top-quark pair differential cross-sections in the lepton+jets channel in pp collisions at $$\\sqrt{s}=8\\,~{\\mathrm {TeV}}$$ s = 8 TeV using the ATLAS detector","year":2016,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute of Particle Physics; University of Victoria; University of Toronto","funders":"","keywords":"Parton; Rapidity; Large Hadron Collider; Atlas (anatomy); Observable; Monte Carlo method; Detector; Distribution function; Lepton","score_opus":0.09740495124650049,"score_gpt":0.23197068588910297,"score_spread":0.13456573464260246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957864617","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":[0.9930212,0.000021872644,0.004934937,0.0003250982,0.00036798892,0.00040437636,0.0002568539,0.000015159716,0.0006525134],"genre_scores_gemma":[0.9996919,0.0000028780528,0.000022196144,0.000027519429,0.000077379176,0.000083993524,0.0000091126185,0.000010365182,0.00007465638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795544,0.000063377105,0.0013746165,0.0002132856,0.000120748206,0.0002725218],"domain_scores_gemma":[0.9986907,0.000035228648,0.0007037944,0.0004366545,0.000086389664,0.00004720824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090647937,0.00018364913,0.00041762844,0.0004020623,0.00024746015,0.00015458334,0.00035984733,0.00012305843,0.000049704257],"category_scores_gemma":[0.000051422197,0.00010983479,0.0002156068,0.0003898191,0.000072089155,0.0004911775,0.00008681238,0.00009066354,0.00021237586],"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":[0.000048169033,0.000011256499,0.98326916,0.000047793317,0.00006406092,5.079156e-7,0.011103079,0.0044278204,0.0000150325895,0.0009462883,0.000026972004,0.000039878025],"study_design_scores_gemma":[0.0042146076,0.00011370591,0.87724286,0.00035270327,0.000047552952,0.00002783673,0.0049413615,0.10625858,0.0049469476,0.00016283711,0.0009717356,0.00071924576],"about_ca_topic_score_codex":0.00075278024,"about_ca_topic_score_gemma":0.000105739906,"teacher_disagreement_score":0.106026255,"about_ca_system_score_codex":0.0004257633,"about_ca_system_score_gemma":0.000025347457,"threshold_uncertainty_score":0.44789326},"labels":[],"label_agreement":null},{"id":"W6957889127","doi":"10.6084/m9.figshare.19768609.v1","title":"Diversity in global urban sprawl patterns revealed by Zipfian dynamics","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Zipf's law; Urban agglomeration; Megacity; Urbanization; Urban planning; Spatial ecology; Human settlement","score_opus":0.03409824300156043,"score_gpt":0.20140947071920806,"score_spread":0.16731122771764761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957889127","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1887389,0.0005543241,0.000022847466,0.0013726528,0.000106494845,0.00016415457,0.7977012,0.000026062113,0.011313373],"genre_scores_gemma":[0.94693524,0.000014840965,0.000008671723,0.0005405225,0.00003661414,0.000062100335,0.0515607,0.000010809294,0.00083050854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893314,0.000018114399,0.00036072062,0.00039521404,0.00004654251,0.00024625455],"domain_scores_gemma":[0.9993957,0.000022420745,0.00024815372,0.00024000907,0.000012882858,0.00008078244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011243841,0.00012459146,0.0003082301,0.00011090877,0.00041527892,0.00003890671,0.00044594353,0.000051997922,0.09807161],"category_scores_gemma":[0.000061519866,0.0001733833,0.00016602808,0.00029375215,0.0000046479718,0.00011979615,0.0010771798,0.00016317646,0.0006759378],"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":[0.000010190734,0.00008791795,0.7976521,0.0000203329,0.00004221623,0.000017966726,0.00011681319,0.00051606406,5.9901716e-8,0.0075098067,0.19375186,0.00027466833],"study_design_scores_gemma":[0.0010876751,0.00010620376,0.51013553,0.00005780026,0.000009366122,0.0000070997908,0.00023412707,0.05863619,8.5929844e-7,0.010956178,0.4179482,0.0008207543],"about_ca_topic_score_codex":0.0032452836,"about_ca_topic_score_gemma":0.0023430828,"teacher_disagreement_score":0.75819635,"about_ca_system_score_codex":0.0007694836,"about_ca_system_score_gemma":0.000016910713,"threshold_uncertainty_score":0.9027529},"labels":[],"label_agreement":null},{"id":"W6969574345","doi":"10.5683/sp3/lcog2g","title":"Replication Data for: No Data? No worries! How image generation can alleviate image scarcity in wildlife surveys: a case study with muskox (Ovibos moschatus)","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Python (programming language); Scripting language; Image (mathematics); Annotation; Scarcity; Aerial image; Wildlife","score_opus":0.08673160627305321,"score_gpt":0.2872958102859158,"score_spread":0.20056420401286257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969574345","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011911034,0.00018111792,0.002703628,0.0019526505,0.00019722093,0.0016866946,0.9919037,0.000024225401,0.00015961284],"genre_scores_gemma":[0.0013215262,0.0014961165,0.0015816492,0.00048341046,0.0005727494,0.00039395038,0.9938291,0.0000452576,0.00027626267],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99520683,0.00019103347,0.0012866431,0.0027243851,0.00011679716,0.0004743233],"domain_scores_gemma":[0.98879045,0.00016562053,0.0013252244,0.009238953,0.0003147097,0.00016504643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039647715,0.0005664413,0.0013540382,0.00064821815,0.00027123798,0.00074497814,0.0022950005,0.00029371827,0.000043685413],"category_scores_gemma":[0.0012736181,0.00060468586,0.00013095504,0.00045193319,0.00011472618,0.0009940937,0.0010211983,0.0003881802,0.000014537299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060050133,0.00033805333,0.0025883222,0.00012379714,0.0004059769,0.00015387015,0.00003851726,0.000035232777,5.8059584e-7,0.00014584423,0.9958326,0.0002771094],"study_design_scores_gemma":[0.0011980395,0.00018422707,0.001408818,0.000038786024,0.00018463067,0.000022775437,0.000104416475,0.04994243,4.0654825e-7,0.00009306427,0.9460791,0.00074331317],"about_ca_topic_score_codex":0.59766954,"about_ca_topic_score_gemma":0.78069353,"teacher_disagreement_score":0.18302399,"about_ca_system_score_codex":0.00030580367,"about_ca_system_score_gemma":0.0003060105,"threshold_uncertainty_score":0.99964046},"labels":[],"label_agreement":null},{"id":"W6977055291","doi":"10.60692/man7d-ds232","title":"Development of a physical geometric phantom for deformable image registration credentialing of radiotherapy centers for a clinical trial","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Imaging phantom; Credentialing; Rectum; Image registration; Hausdorff distance; Radiation therapy; Medical imaging; Hounsfield scale","score_opus":0.11863734321647175,"score_gpt":0.2867450479361521,"score_spread":0.16810770471968034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977055291","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":[0.5419984,0.000016436778,0.4567396,0.000025284658,0.00023748458,0.00040930798,0.0002496479,0.000007991389,0.0003158877],"genre_scores_gemma":[0.9821018,0.0000036632946,0.01741406,0.000024458237,0.00014465295,0.00011242426,0.0001207087,0.0000090851945,0.00006913231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975717,0.000012345917,0.002024394,0.00017770857,0.000057918387,0.00015591683],"domain_scores_gemma":[0.99784607,0.000034173612,0.0016365609,0.00020310697,0.00023188248,0.000048215876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009751585,0.00011263597,0.0006337478,0.00035017217,0.00007909502,0.000081716425,0.00012354818,0.00007806162,0.000008910096],"category_scores_gemma":[0.000078861805,0.00011507615,0.00045312342,0.00024741984,0.00002520211,0.00040453975,0.000018893286,0.00003319133,0.0000112504085],"study_design_candidate":"simulation_or_modeling","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":[0.082981996,0.0013852497,0.16802815,0.020831842,0.015118802,0.000004727022,0.28673014,0.014081042,0.00054235844,0.36082226,0.0024129548,0.047060464],"study_design_scores_gemma":[0.11880139,0.0012645148,0.009390635,0.00033395775,0.00023582806,0.0000109504745,0.010151102,0.8165757,0.015502224,0.00034040384,0.026196238,0.0011970336],"about_ca_topic_score_codex":0.0000143248935,"about_ca_topic_score_gemma":0.0000010464064,"teacher_disagreement_score":0.8024947,"about_ca_system_score_codex":0.00010121416,"about_ca_system_score_gemma":0.000084336934,"threshold_uncertainty_score":0.46926695},"labels":[],"label_agreement":null},{"id":"W6977251582","doi":"10.6084/m9.figshare.29546236.v1","title":"The diverse processes behind neighborhood-level business agglomeration: the cases of Mile-End and Chabanel in Montreal","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Materiality (auditing); Cluster analysis; Key (lock); Local government; Place branding; Human geography","score_opus":0.05901195328420644,"score_gpt":0.22485797955194448,"score_spread":0.16584602626773803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977251582","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.403759,0.061338257,0.00009921794,0.031868808,0.0005275241,0.0017426338,0.4360836,0.000044987082,0.06453596],"genre_scores_gemma":[0.9962787,0.00063492835,0.000005060017,0.00015271366,0.000044206045,0.00006872808,0.0017742075,0.000005170112,0.0010362645],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99931926,0.000007749875,0.00033426733,0.00019666381,0.000022987859,0.00011906656],"domain_scores_gemma":[0.9992114,0.00029596913,0.00020552563,0.00017803616,0.000088825276,0.000020268199],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008543136,0.00009308172,0.00020914488,0.00009851252,0.00018256591,0.00009919741,0.00019978135,0.000046842975,0.00253367],"category_scores_gemma":[0.0006315793,0.00006719206,0.000046757577,0.0002939207,0.000029101657,0.0001260175,0.0000916426,0.000065434055,0.00005397289],"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":[0.00036942144,0.0007538369,0.32710063,0.0024723199,0.0013385059,0.00009975075,0.006216276,0.006994811,0.000008483117,0.18687521,0.3491976,0.11857316],"study_design_scores_gemma":[0.0006032536,0.00002824885,0.89933527,0.00033361657,0.000016729673,0.00000541648,0.00042730037,0.010701063,0.000028891078,0.013903364,0.0743701,0.00024677676],"about_ca_topic_score_codex":0.0022698129,"about_ca_topic_score_gemma":0.015534512,"teacher_disagreement_score":0.5925197,"about_ca_system_score_codex":0.000022779303,"about_ca_system_score_gemma":0.000049440077,"threshold_uncertainty_score":0.99837816},"labels":[],"label_agreement":null},{"id":"W6980696788","doi":"","title":"Conditions d'émergence et développement des collections vestimentaires : patrimonialisation, muséalisation, virtualisation : regards croisés France- Canada-Québec (XIXe-XXIe siècle)","year":2018,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"ESPACE; Mode (computer interface); Limiting","score_opus":0.01355157203504705,"score_gpt":0.1936184929979918,"score_spread":0.18006692096294474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980696788","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42977712,0.011014945,0.01893613,0.10737253,0.0073819906,0.0028911484,0.009469529,0.00043698784,0.4127196],"genre_scores_gemma":[0.14753607,0.014603175,0.0009454869,0.0008563049,0.00053929596,0.000022765154,0.0015149092,0.0002455464,0.8337364],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961658,0.00020734897,0.0010849017,0.0014450642,0.00031541957,0.00078147533],"domain_scores_gemma":[0.9959921,0.00023557653,0.0017908532,0.0008520847,0.0006323166,0.00049703993],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004211336,0.0008464029,0.0011820026,0.0013918164,0.0028795528,0.0002529328,0.0009556457,0.00055119116,0.010672231],"category_scores_gemma":[0.00014282801,0.001224531,0.0005810773,0.0019686343,0.0008148922,0.00071300485,0.0003310044,0.00040757342,0.00037892748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029645683,0.0007369195,0.22171631,0.0002759895,0.0043524015,0.0002268303,0.02337559,0.012779349,0.000524285,0.3442566,0.38137633,0.010082933],"study_design_scores_gemma":[0.0017347756,0.00029249533,0.0645583,0.00022699263,0.0005823838,0.000020704008,0.0021985564,0.0043988363,0.0004614716,0.0045538046,0.91953456,0.0014370984],"about_ca_topic_score_codex":0.97806394,"about_ca_topic_score_gemma":0.99246734,"teacher_disagreement_score":0.53815824,"about_ca_system_score_codex":0.008031578,"about_ca_system_score_gemma":0.0034147366,"threshold_uncertainty_score":0.99902046},"labels":[],"label_agreement":null},{"id":"W6981189358","doi":"","title":"Diurnal and nocturnal temperatures for Atlantic salmon postsmolts (Salmo salar L.) during their early marine life","year":2021,"lang":"en","type":"article","venue":"AquaDocs  (United Nations Educational, Scientific and Cultural Organization)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","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":"Salmo; Water column; Diel vertical migration; Predation; Nocturnal; Fish <Actinopterygii>; Habitat; Daylight","score_opus":0.016117728046342945,"score_gpt":0.21251438506353218,"score_spread":0.19639665701718922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981189358","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":[0.97984606,0.0009013804,0.0002848457,0.017746883,0.0004399086,0.00016758803,0.00023044171,0.00001861631,0.00036429474],"genre_scores_gemma":[0.98698866,0.0007609802,0.0010542735,0.00029975633,0.00023067275,0.000017423248,0.003413244,0.000023476347,0.0072115366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986728,0.000020568681,0.0004964413,0.0005257929,0.00007446342,0.00020995534],"domain_scores_gemma":[0.9983743,0.00012674768,0.00027427776,0.00018497615,0.00085242506,0.00018728671],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00020607222,0.00017921778,0.00025557127,0.0012358275,0.001439718,0.0010270586,0.0001500778,0.000079402795,0.00067609875],"category_scores_gemma":[0.0006567038,0.0001741491,0.000076022014,0.0035308525,0.00014097826,0.0006010154,0.00008509172,0.00011939848,0.000046376914],"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":[0.000010017148,0.0001673099,0.23720506,0.000052068302,0.00021274229,0.0000013060666,0.0012280333,0.00017395978,0.0012676254,0.75693715,0.0026744888,0.00007022746],"study_design_scores_gemma":[0.0009770008,0.000032609154,0.9265581,0.000036771646,0.000065154985,0.00012923092,0.0010276606,0.0030305933,0.00052200764,0.02895317,0.03805903,0.00060871564],"about_ca_topic_score_codex":0.00021224178,"about_ca_topic_score_gemma":0.00019515876,"teacher_disagreement_score":0.727984,"about_ca_system_score_codex":0.00006205439,"about_ca_system_score_gemma":0.00013116632,"threshold_uncertainty_score":0.9998603},"labels":[],"label_agreement":null},{"id":"W6981555769","doi":"","title":"ERIC ED466540: Bosnia and Herzegovina. Civic Education Program for 1999-2000.","year":2000,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Civics; Democracy; Action (physics); Civic engagement; Quarter (Canadian coin); Citizenship education; Work (physics)","score_opus":0.007449154470031607,"score_gpt":0.18086253249336218,"score_spread":0.17341337802333057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981555769","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015039211,0.0040748026,0.0000020872267,0.0004229102,0.0002486315,0.0009934418,0.0004367566,0.0000772972,0.9935937],"genre_scores_gemma":[0.0008966727,0.0035838904,0.0024214622,0.0003503061,0.00026686265,0.00021808152,0.0005387256,0.000115641706,0.9916084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845284,0.00001206854,0.00088298664,0.00032978377,0.00005555822,0.00026676382],"domain_scores_gemma":[0.99855983,0.000045659624,0.0009230166,0.00030811247,0.000043050957,0.00012031486],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001651184,0.0003046259,0.0006480215,0.00019860266,0.00007519173,0.00013141942,0.00022904904,0.00033446957,0.1323009],"category_scores_gemma":[0.00003292561,0.00035218545,0.00024689804,0.000014566405,0.000097390264,7.499102e-7,0.00003735679,0.0001310842,0.0036810427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034590914,0.000099887526,0.00001971537,0.00034914925,0.00010926971,5.232958e-7,0.000056223515,0.000055234468,1.3218356e-8,0.001036533,0.9762802,0.02195866],"study_design_scores_gemma":[0.00036891527,0.00015470108,0.000055266206,0.00008854549,0.000039614813,0.000012022119,0.000028553864,0.00030020173,2.8905086e-7,0.00047275925,0.99810135,0.0003777522],"about_ca_topic_score_codex":0.010982842,"about_ca_topic_score_gemma":0.0020558268,"teacher_disagreement_score":0.12861985,"about_ca_system_score_codex":0.00006556008,"about_ca_system_score_gemma":0.000056560064,"threshold_uncertainty_score":0.999893},"labels":[],"label_agreement":null},{"id":"W6982586982","doi":"","title":"Intelligence artificielle et au-delà","year":2024,"lang":"fr","type":"other","venue":"Le dépôt institutionnel (Université du Québec à Trois-Rivières)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","score_opus":0.02159878332787162,"score_gpt":0.1955509605205062,"score_spread":0.17395217719263456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982586982","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02099414,0.011783121,0.38846618,0.0601301,0.004052169,0.00063091965,0.0008738204,0.00021252313,0.512857],"genre_scores_gemma":[0.4150592,0.0021843687,0.0005636273,0.0006987417,0.0007326322,0.000022540553,0.00011882642,0.0002059193,0.5804141],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962035,0.000069640846,0.0011717214,0.0016235381,0.00013746828,0.0007941279],"domain_scores_gemma":[0.99754846,0.00013109815,0.00086721947,0.0009804443,0.000115578776,0.00035718072],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00056170474,0.00080319034,0.0013507407,0.0013409796,0.00066085067,0.0003437479,0.0011398508,0.00066268607,0.016159251],"category_scores_gemma":[0.0001226966,0.0010068157,0.0011495451,0.0008838705,0.00088050164,0.00060740166,0.00051576464,0.0008210951,0.034146093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045550907,0.00034152833,0.0048012678,0.00019721777,0.0009636439,0.00015899395,0.006099896,0.07360612,0.0000053050535,0.89941376,0.010802938,0.0035637766],"study_design_scores_gemma":[0.00040430774,0.00010563225,0.0017631532,0.0003066837,0.00021623838,0.0000386988,0.0020422959,0.23245132,0.000012004849,0.010551932,0.75096697,0.0011407428],"about_ca_topic_score_codex":0.6197425,"about_ca_topic_score_gemma":0.7226705,"teacher_disagreement_score":0.88886184,"about_ca_system_score_codex":0.0017942252,"about_ca_system_score_gemma":0.0008707776,"threshold_uncertainty_score":0.99923825},"labels":[],"label_agreement":null},{"id":"W6987469665","doi":"","title":"Suburban Shopping Centres as Transit- Oriented Development: Policy Perspectives from Canadian Cities","year":2022,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Work (physics); Metropolitan area","score_opus":0.015831787479652134,"score_gpt":0.20827593414806145,"score_spread":0.1924441466684093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987469665","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":[0.7761999,0.0031811667,4.6913502e-7,0.00028676953,0.00085975946,0.00035200734,0.006994366,0.00008372413,0.21204187],"genre_scores_gemma":[0.9681744,0.0013925467,0.00018053972,0.0005248247,0.00015471932,0.00014848557,0.006333386,0.00020058929,0.022890491],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99553984,0.00008952086,0.0015164602,0.0016527707,0.00021106626,0.0009903217],"domain_scores_gemma":[0.99756783,0.0001152767,0.00089666207,0.00057865336,0.0001740118,0.0006675708],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049475,0.0007982232,0.0013162316,0.0022082462,0.0022130224,0.00023480285,0.00081557216,0.0005348007,0.011329324],"category_scores_gemma":[0.00035292745,0.0010865303,0.00067358173,0.0008943507,0.000069655674,0.00059404265,0.000093126444,0.0010977738,0.00068925146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102713915,0.00011807805,0.001049801,0.00006134779,0.0013012056,0.000072859526,0.0005658789,0.00017000461,0.0000888366,0.98091024,0.000019950683,0.015539097],"study_design_scores_gemma":[0.00085283205,0.00007310421,0.010782752,0.00010964408,0.00011484942,0.000007538401,0.0064516854,0.00015037374,0.0005593872,0.09967443,0.87920207,0.0020213304],"about_ca_topic_score_codex":0.5406244,"about_ca_topic_score_gemma":0.67576265,"teacher_disagreement_score":0.8812358,"about_ca_system_score_codex":0.004386222,"about_ca_system_score_gemma":0.000488822,"threshold_uncertainty_score":0.9994358},"labels":[],"label_agreement":null},{"id":"W6989775511","doi":"","title":"Central Oregon Business Index : 2014 : First Quarter","year":2016,"lang":"en","type":"article","venue":"Scholars' Bank (University of Oregon)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Business cycle; Economic indicator","score_opus":0.011005444110552496,"score_gpt":0.157014662220936,"score_spread":0.1460092181103835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989775511","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":[0.94606453,0.00034509233,0.029362755,0.015747245,0.00035323188,0.00014544863,0.00020496073,0.000038937724,0.0077378238],"genre_scores_gemma":[0.9964514,0.0006641194,0.00036253204,0.00008971637,0.00007895047,3.9494444e-7,0.000017390325,0.000015933929,0.00231957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877274,0.000015997432,0.00031443042,0.00048153076,0.00005903436,0.0003562656],"domain_scores_gemma":[0.99884045,0.000044325414,0.00040575897,0.00043956123,0.000112705995,0.00015718347],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002696942,0.00017411116,0.00047939358,0.0003575264,0.00022840915,0.00004662514,0.0005102153,0.0001577837,0.003118175],"category_scores_gemma":[0.00004164213,0.0001820282,0.00027064056,0.00032104264,0.00017723582,0.0009525852,0.000120666766,0.00012451007,0.00094515976],"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":[0.00019143884,0.00021680481,0.6906521,0.00005351135,0.00038748255,0.000029763527,0.0005241007,0.00023640937,0.00009833184,0.285611,0.015560735,0.0064383377],"study_design_scores_gemma":[0.0015194713,0.000056383553,0.8132749,0.000043976714,0.00002710341,0.000004085631,0.00014877028,0.0010947658,0.000019360687,0.01708046,0.16632006,0.00041066343],"about_ca_topic_score_codex":0.0018570193,"about_ca_topic_score_gemma":0.0014882837,"teacher_disagreement_score":0.26853055,"about_ca_system_score_codex":0.00015360123,"about_ca_system_score_gemma":0.00004062801,"threshold_uncertainty_score":0.99983275},"labels":[],"label_agreement":null},{"id":"W6990583547","doi":"","title":"Do Subnational Agreements Induce\\nInterprovincial Migration? Empirical\\nEvidence from Canada’s Aggregate\\nMigration Patterns","year":2020,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Panel data; Work (physics); Gravity model of trade; Government (linguistics)","score_opus":0.04277957065317934,"score_gpt":0.2184939759311095,"score_spread":0.17571440527793017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990583547","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":[0.9465625,0.000012708529,0.0064939726,0.012396522,0.00026345687,0.0003390334,0.0013074435,0.00004778824,0.032576542],"genre_scores_gemma":[0.98943704,0.00811466,0.00023088414,0.0015619575,0.00026157184,0.0000036774138,0.00033579473,0.000019347328,0.00003506602],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838465,0.00003992614,0.00048501568,0.00070560625,0.00012227902,0.0002625032],"domain_scores_gemma":[0.9989456,0.00006739791,0.00046884263,0.00024825975,0.00010132045,0.0001685697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010430582,0.00023259917,0.00039109983,0.0018703436,0.00018425859,0.0001340331,0.000475285,0.000111898094,0.0004321023],"category_scores_gemma":[0.00010452234,0.000288574,0.00018431585,0.0018029966,0.000035671375,0.0005644205,0.00014520447,0.00018852222,0.00011472116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029244885,0.00030648898,0.94742626,0.000049673235,0.00080231257,0.00017430974,0.008632972,0.00086325087,0.000017638506,0.027067386,0.0069191745,0.0074481075],"study_design_scores_gemma":[0.0007361305,0.00008544983,0.02729687,0.000022696784,0.000040016712,8.935422e-7,0.0003555984,0.013945161,0.00008804522,0.00006418777,0.95690954,0.00045543],"about_ca_topic_score_codex":0.9684734,"about_ca_topic_score_gemma":0.96650505,"teacher_disagreement_score":0.94999033,"about_ca_system_score_codex":0.00062722905,"about_ca_system_score_gemma":0.00070625276,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W6991529753","doi":"","title":"Hampshire County Labor Market Summary","year":2005,"lang":"en","type":"article","venue":"The Research Repository @ WVU (West Virginia University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Unemployment; West virginia; Population; Current Population Survey; Census; Wages and salaries; Quarter (Canadian coin)","score_opus":0.03784371473489829,"score_gpt":0.23769109873429695,"score_spread":0.19984738399939866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991529753","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":[0.5250951,0.0009839993,0.000087568194,0.012676982,0.00021890728,0.00025571068,0.00014985434,0.000055340344,0.46047652],"genre_scores_gemma":[0.87115616,0.0015343567,0.00009627876,0.00017330678,0.000505027,0.0000036790523,0.000011670614,0.00002680139,0.12649275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981575,0.00019384922,0.00036124446,0.0005672319,0.00015902234,0.00056114595],"domain_scores_gemma":[0.9982988,0.00032326326,0.0002191658,0.000768243,0.00016943706,0.00022103905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016213944,0.0001858283,0.0003734189,0.00064909604,0.0009903648,0.00021270041,0.00105472,0.00013863566,0.00063987315],"category_scores_gemma":[0.00007312358,0.00018242293,0.00023651592,0.0008709575,0.00044408118,0.00047456403,0.0003023071,0.0005405915,0.0008116497],"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":[0.00048573935,0.00040233752,0.0672695,0.000051215684,0.00064624863,0.00028338248,0.00068373716,0.0010027188,0.00025726296,0.86635196,0.06105698,0.001508916],"study_design_scores_gemma":[0.00045479994,0.0000672622,0.031015342,0.000015041857,0.000015724649,0.000011946507,0.0003752358,0.0058883424,0.00008722872,0.0018573668,0.959935,0.00027670318],"about_ca_topic_score_codex":0.0018356013,"about_ca_topic_score_gemma":0.0007087404,"teacher_disagreement_score":0.89887804,"about_ca_system_score_codex":0.00057941827,"about_ca_system_score_gemma":0.00014476133,"threshold_uncertainty_score":0.9999663},"labels":[],"label_agreement":null},{"id":"W6991534004","doi":"","title":"Hamilton Canada : The city of opportunity : 500 diversified industries.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Diversity (politics); Sustainability","score_opus":0.019967795531857888,"score_gpt":0.15297251096706485,"score_spread":0.13300471543520698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991534004","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":[0.772095,0.000025529622,0.00069180963,0.13467275,0.00024779956,0.00017812707,0.0004035849,0.000041839,0.091643535],"genre_scores_gemma":[0.96032786,0.00021140864,0.00007165289,0.00061877025,0.000049088343,3.4092724e-7,0.000044976758,0.000012063001,0.038663857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905497,0.000048203874,0.00027303302,0.00032306582,0.000060661412,0.0002400624],"domain_scores_gemma":[0.9987605,0.00012943559,0.00042448836,0.000451558,0.000032157306,0.00020183221],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013931935,0.0001587543,0.00040605373,0.0001770191,0.00025268443,0.000039706607,0.000615066,0.00011301631,0.00094495714],"category_scores_gemma":[0.000056659188,0.00016384745,0.00015060538,0.00042754126,0.0001547371,0.00049557904,0.00021462668,0.00022386949,0.00002038992],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007199625,0.00007655915,0.34247556,0.000022437782,0.00027829155,0.00001593516,0.0002959411,0.00048334338,5.4240206e-7,0.40595967,0.24981949,0.0005002535],"study_design_scores_gemma":[0.00034297688,0.000044844015,0.072526075,0.000007499368,0.000024224482,1.08928575e-7,0.0004389944,0.00034796254,0.0001277784,0.0037501666,0.9221265,0.00026286824],"about_ca_topic_score_codex":0.8417113,"about_ca_topic_score_gemma":0.08334167,"teacher_disagreement_score":0.7583696,"about_ca_system_score_codex":0.00013685324,"about_ca_system_score_gemma":0.00029724528,"threshold_uncertainty_score":0.9999683},"labels":[],"label_agreement":null},{"id":"W6992792767","doi":"","title":"Migration and Regional Adjustment and Asymmetric Shocks in Transition Economies","year":2002,"lang":"en","type":"preprint","venue":"Deep Blue (University of Michigan)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Centre for Economic Policy Research; McMaster University","keywords":"Nucleofection; Gestational period; TSG101; Diafiltration; Liquation; Dysgeusia; Hyporeflexia; Fusible alloy; Proteogenomics","score_opus":0.020134150142394617,"score_gpt":0.16744614049166076,"score_spread":0.14731199034926615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992792767","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":[0.9874896,0.006281617,0.0026440213,0.002266748,0.00008401855,0.00017542226,0.00016797721,0.000008948447,0.00088169327],"genre_scores_gemma":[0.98351187,0.01501939,0.0009219087,0.00010258967,0.000044540255,0.0000011925144,0.00011779832,0.0000117313875,0.00026895618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890727,0.000018739009,0.0003552914,0.0005401393,0.000029317702,0.00014925508],"domain_scores_gemma":[0.9992359,0.00004090718,0.00042352892,0.00019730369,0.000025252664,0.000077061944],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019025321,0.00018581717,0.00060732826,0.00086542725,0.00007396733,0.000030458144,0.00015798763,0.0002509012,0.000109371555],"category_scores_gemma":[0.0000069893167,0.0002804455,0.00015888577,0.00014225549,0.00012447218,0.0001728353,0.00013540065,0.00021839423,0.000019125708],"study_design_candidate":"simulation_or_modeling","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":[0.00076626113,0.0017531451,0.08104704,0.0023670823,0.0034880615,0.0001356647,0.34988925,0.100596406,0.000063868974,0.40872657,0.0006005081,0.05056614],"study_design_scores_gemma":[0.0027308355,0.0001843407,0.21394569,0.00015986292,0.00016641329,0.000020210218,0.016539615,0.6903309,0.000012154102,0.06610355,0.008586543,0.001219839],"about_ca_topic_score_codex":0.005970469,"about_ca_topic_score_gemma":0.079201445,"teacher_disagreement_score":0.58973455,"about_ca_system_score_codex":0.00008862351,"about_ca_system_score_gemma":0.000014612543,"threshold_uncertainty_score":0.9999648},"labels":[],"label_agreement":null},{"id":"W6992811172","doi":"","title":"Multivista Opens New Location in Canada’s Capital Region","year":2015,"lang":"en","type":"other","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Work (physics); Government (linguistics); Investment (military); Key (lock)","score_opus":0.036892402799089195,"score_gpt":0.19708186958304558,"score_spread":0.16018946678395637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992811172","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040292644,0.0025381579,0.0012473768,0.0020724079,0.0004562594,0.00022171081,0.00011641838,0.000021912172,0.99292284],"genre_scores_gemma":[0.07871532,0.00039119608,0.00017557599,0.0002433356,0.00024066165,0.0000076958495,0.00020045368,0.00016146374,0.9198643],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987608,0.000006959608,0.00051767536,0.00046144432,0.000035431694,0.00021764284],"domain_scores_gemma":[0.9990486,0.00001048089,0.0004201765,0.00034357523,0.000020806236,0.00015636312],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011317622,0.00020703168,0.0005952953,0.0003944944,0.000014220741,0.000042175277,0.0002511492,0.00014569519,0.0023142581],"category_scores_gemma":[0.000032660053,0.00023711566,0.000062029765,0.00019456832,0.000016742937,0.000060177794,0.000047465535,0.000121826,0.000581223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032743915,0.000014627648,0.005507909,0.000010391563,0.000051736704,0.000008605829,0.000039544182,0.00022621777,1.9071923e-8,0.04231527,0.95139366,0.00042872055],"study_design_scores_gemma":[0.00036304796,0.000012927164,0.0013945155,0.000027124364,0.0000048403726,0.0000015107771,0.00006746775,0.0029072603,1.9127482e-7,0.004656245,0.9902164,0.0003484669],"about_ca_topic_score_codex":0.9982934,"about_ca_topic_score_gemma":0.9992671,"teacher_disagreement_score":0.07831239,"about_ca_system_score_codex":0.0010416906,"about_ca_system_score_gemma":0.0013870451,"threshold_uncertainty_score":0.99859774},"labels":[],"label_agreement":null},{"id":"W6993005817","doi":"","title":"Mutations des secteurs commerciaux exploitant les infrastructures spatiales : analyse et indicateurs économiques","year":2023,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Canadian Space Agency; European Commission; European Space Agency; European Organization for the Exploitation of Meteorological Satellites; Centre National d’Etudes Spatiales; U.S. Department of Defense","keywords":"Context (archaeology); Identification (biology)","score_opus":0.10310616786639414,"score_gpt":0.2776188831138983,"score_spread":0.17451271524750417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6993005817","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":[0.9721189,0.000517204,0.0019502454,0.001996103,0.00016028271,0.00018240455,0.00044406246,0.00018810901,0.022442665],"genre_scores_gemma":[0.99488425,0.0033155594,0.0007683634,0.0003776169,0.00013175808,0.0000711656,0.00030379448,0.00006200398,0.00008546376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979563,0.000071204355,0.00088398124,0.00057063624,0.000056322722,0.00046155642],"domain_scores_gemma":[0.99849117,0.00029430064,0.0005138376,0.0004632155,0.000059916318,0.00017756209],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006722237,0.0003148129,0.0007165384,0.0009947333,0.00035228764,0.00023938633,0.0004994806,0.00015232111,0.00075864437],"category_scores_gemma":[0.0002394293,0.00032993354,0.000355043,0.0007723818,0.00032449668,0.00041293993,0.00016084689,0.00024313253,0.00093176094],"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":[0.000020906644,0.00008604352,0.41136354,0.00003540893,0.0005099199,0.000014443299,0.0051901974,0.007950939,0.000077396784,0.5662936,0.0005327627,0.00792485],"study_design_scores_gemma":[0.0004875303,0.000090328096,0.56762516,0.000037178455,0.00007120723,0.0000065851814,0.003976745,0.010588743,0.00041136387,0.39276722,0.023218567,0.0007193832],"about_ca_topic_score_codex":0.028103687,"about_ca_topic_score_gemma":0.012716183,"teacher_disagreement_score":0.17352636,"about_ca_system_score_codex":0.00015163928,"about_ca_system_score_gemma":0.00005020683,"threshold_uncertainty_score":0.99991524},"labels":[],"label_agreement":null},{"id":"W6996575984","doi":"","title":"The Shifting Geography of Precarious Employment in Canada","year":2015,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Human geography; Agency (philosophy); Unemployment","score_opus":0.01938333494025063,"score_gpt":0.19003296474115244,"score_spread":0.17064962980090181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996575984","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07700978,0.00811595,4.2812033e-7,0.00016864957,0.0010087617,0.00053320976,0.005336957,0.00004585859,0.9077804],"genre_scores_gemma":[0.93172103,0.0028970952,0.00016527271,0.00028958646,0.000083735795,0.0000962374,0.00014768615,0.00051864557,0.06408073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99702436,0.000069335016,0.0013967787,0.00076429977,0.00016567165,0.00057955354],"domain_scores_gemma":[0.9974717,0.00013503342,0.0014105613,0.000697165,0.00006792222,0.00021762638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010706399,0.00044579833,0.0010992514,0.000589534,0.0002295914,0.000050368875,0.00077415816,0.00028562333,0.0004073653],"category_scores_gemma":[0.00019300144,0.00043746262,0.00031806834,0.0005392954,0.00008658379,0.000110376975,0.00022960632,0.0005565651,0.000115044546],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011819102,0.00037621672,0.06255458,0.00028409934,0.0030006263,0.00009958385,0.000014836237,0.0011818177,0.000016296184,0.8454395,0.009859906,0.07705432],"study_design_scores_gemma":[0.00044601323,0.00003691233,0.001937219,0.00009195209,0.000027674694,0.0000018168083,0.000026918453,0.00019044134,0.000022651735,0.032680966,0.9639935,0.00054392015],"about_ca_topic_score_codex":0.95315295,"about_ca_topic_score_gemma":0.9840011,"teacher_disagreement_score":0.9541336,"about_ca_system_score_codex":0.0015053535,"about_ca_system_score_gemma":0.00021465514,"threshold_uncertainty_score":0.9998077},"labels":[],"label_agreement":null},{"id":"W6999024404","doi":"","title":"California's Manufacturing Sector Grows for the Seventh Consecutive Quarter","year":2022,"lang":"en","type":"article","venue":"Chapman University Digital Commons (Chapman University)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Manufacturing sector; Work (physics); Government (linguistics)","score_opus":0.025060247017835022,"score_gpt":0.16084637661899184,"score_spread":0.13578612960115682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999024404","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":[0.82352865,0.0002816239,0.021572039,0.00868839,0.0006355515,0.0013232048,0.014838586,0.00021753465,0.1289144],"genre_scores_gemma":[0.9844686,0.00004116353,0.00003619864,0.00017174016,0.00006126837,8.283899e-7,0.0001967803,0.000025721638,0.014997709],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861985,0.000034583096,0.00026996952,0.0005807312,0.000073963165,0.00042091735],"domain_scores_gemma":[0.99872077,0.00025270978,0.0003585804,0.00045807127,0.000043692777,0.00016619831],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00016701476,0.00025602677,0.00043735185,0.00065418356,0.001631161,0.00012685449,0.0009917844,0.000071634124,0.00047622522],"category_scores_gemma":[0.000012698405,0.00030830575,0.0005515061,0.0003959904,0.00022923163,0.00047657284,0.0006112761,0.0002999075,0.00012105198],"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":[0.0005297441,0.00032995304,0.009271825,0.00003202377,0.001042145,0.00014992189,0.001279274,0.0040157535,0.000004615964,0.97092503,0.011760028,0.0006596543],"study_design_scores_gemma":[0.0013568149,0.00019233995,0.00172618,0.0000052217974,0.000070408045,0.000013299722,0.008559379,0.0066201366,0.00001515703,0.007509942,0.97339284,0.00053826254],"about_ca_topic_score_codex":0.0007637673,"about_ca_topic_score_gemma":0.00049899693,"teacher_disagreement_score":0.96341515,"about_ca_system_score_codex":0.0006597424,"about_ca_system_score_gemma":0.00004783471,"threshold_uncertainty_score":0.9999369},"labels":[],"label_agreement":null},{"id":"W6999337425","doi":"","title":"Community profile, Pee Dee Workforce Investment Area","year":2015,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institute of Education Sciences","keywords":"Investment (military); Workforce; Census; Directory; Government (linguistics); Economic data; Quarter (Canadian coin)","score_opus":0.04502823025835221,"score_gpt":0.20091843428123626,"score_spread":0.15589020402288406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999337425","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":[0.6324574,0.0009957795,0.0016461079,0.004423674,0.00084674754,0.0013174129,0.0088575,0.0007139147,0.34874147],"genre_scores_gemma":[0.852388,0.00012427193,0.00042159736,0.0019384155,0.0002588999,0.00021149259,0.0010193365,0.00023310143,0.14340486],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954241,0.00026338684,0.0018841205,0.0010051517,0.00024564308,0.0011776042],"domain_scores_gemma":[0.9959704,0.00023810669,0.0010904361,0.0016872867,0.00009482631,0.0009189368],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048554837,0.000865356,0.0013005733,0.0011098719,0.0015418692,0.002060933,0.0016140967,0.00020543592,0.0003503115],"category_scores_gemma":[0.00013875327,0.0007951253,0.0008192256,0.0033006154,0.00055458886,0.0048748273,0.001062446,0.001189667,0.00092301803],"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":[0.0029298146,0.0016849466,0.44705486,0.00031215991,0.0032740063,0.00021193444,0.07426401,0.04794726,0.000003407267,0.13620755,0.28402644,0.0020835935],"study_design_scores_gemma":[0.0040804176,0.0011303921,0.018720638,0.0001073705,0.00015868334,0.00007179679,0.00446952,0.023352602,0.00018797818,0.628967,0.31598714,0.0027664506],"about_ca_topic_score_codex":0.00047649414,"about_ca_topic_score_gemma":0.000025198317,"teacher_disagreement_score":0.49275947,"about_ca_system_score_codex":0.00019323439,"about_ca_system_score_gemma":0.00050803204,"threshold_uncertainty_score":0.99985486},"labels":[],"label_agreement":null},{"id":"W7001521333","doi":"","title":"La honte dans L'Ãtranger et La Chute d'Albert Camus : les deux côtés d'une médaille","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shame; Perspective (graphical); Aphorism; Insignificance","score_opus":0.004097427622806825,"score_gpt":0.13811480309906635,"score_spread":0.13401737547625953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001521333","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036819205,0.0017790399,0.00036695568,0.014374346,0.0005172543,0.00020947891,0.0018076649,0.0000085289275,0.94411755],"genre_scores_gemma":[0.45976502,0.004353097,0.0010027421,0.0011954673,0.00020072595,0.000020015543,0.000060713402,0.00015106662,0.53325117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974139,0.00010541303,0.0008662333,0.0007360506,0.00036632136,0.0005121104],"domain_scores_gemma":[0.99777657,0.0005118738,0.0008338059,0.00048635397,0.0000010808257,0.00039032154],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000062100655,0.00054467126,0.0010648984,0.000120365265,0.00023160226,0.00011353069,0.00056148216,0.00028133555,0.0017692456],"category_scores_gemma":[0.000009463868,0.000625673,0.00023025475,0.00013696171,0.00037116604,0.00029192783,0.00022057517,0.0006395155,2.1276799e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001599237,0.00010709241,0.10112904,0.0003180514,0.00093133625,0.00017284486,0.00035504528,0.00033156358,0.00033740955,0.8546846,0.0071367645,0.034336362],"study_design_scores_gemma":[0.00047217106,0.000042840977,0.084338084,0.00015568128,0.00006566038,0.000015259284,0.00058067904,0.003347279,0.00041532173,0.0030077049,0.9068784,0.0006809209],"about_ca_topic_score_codex":0.13069323,"about_ca_topic_score_gemma":0.7754117,"teacher_disagreement_score":0.89974165,"about_ca_system_score_codex":0.000026737838,"about_ca_system_score_gemma":0.0010169606,"threshold_uncertainty_score":0.9996195},"labels":[],"label_agreement":null},{"id":"W7001868295","doi":"","title":"Les découpages administratifs sont-ils pertinents en analyse immobilière ? Le cas de Québec","year":2013,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Object (grammar); Context (archaeology); Homogeneous","score_opus":0.012183507539375334,"score_gpt":0.18695244468550326,"score_spread":0.17476893714612793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001868295","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6843209,0.015018926,0.0012738585,0.016442271,0.0007398776,0.0007514311,0.0009948958,0.00015175203,0.2803061],"genre_scores_gemma":[0.3563557,0.01577925,0.0005248192,0.00013833785,0.00032566802,0.000006200711,0.00021618696,0.00022235524,0.62643147],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955175,0.00016571309,0.0009527759,0.0016666438,0.00017598664,0.0015213813],"domain_scores_gemma":[0.99593604,0.00026673905,0.001612374,0.0010880416,0.00020354617,0.0008932767],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005180825,0.0010510744,0.0019328239,0.001410864,0.0008959576,0.00026833816,0.0017186595,0.0011314511,0.00726136],"category_scores_gemma":[0.00009907184,0.0014175737,0.0014956092,0.0007386173,0.00040126283,0.0005627406,0.0005794307,0.00082065153,0.0011135158],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043911434,0.0013589438,0.54828393,0.00048937806,0.007267603,0.0015060351,0.026067607,0.0030530056,0.0019420871,0.32967246,0.02067925,0.059240546],"study_design_scores_gemma":[0.0025112836,0.00043681,0.07666978,0.00023519383,0.0009976184,0.00008065723,0.010318641,0.012801017,0.0007716612,0.0006951304,0.8922145,0.0022677053],"about_ca_topic_score_codex":0.8541464,"about_ca_topic_score_gemma":0.73005104,"teacher_disagreement_score":0.87153524,"about_ca_system_score_codex":0.0064317305,"about_ca_system_score_gemma":0.0016380692,"threshold_uncertainty_score":0.99966425},"labels":[],"label_agreement":null},{"id":"W7009105484","doi":"","title":"Do property tax reductions for small businesses increase productivity, survival and local growth?","year":2019,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Regional Economics and Spatial Analysis","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":"Queen's University","funders":"","keywords":"Property (philosophy); Work (physics); Property tax; Production (economics); Government (linguistics)","score_opus":0.0408981646397453,"score_gpt":0.2371357793913842,"score_spread":0.1962376147516389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009105484","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":[0.95004267,0.000091314665,0.0029491412,0.016946672,0.00024282276,0.0010443165,0.0005057301,0.000042578184,0.02813477],"genre_scores_gemma":[0.9694792,0.00048052147,0.00032039257,0.0000143227035,0.00015627152,0.000007741271,0.000071376955,0.000024826973,0.029445319],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825644,0.000063100546,0.00029305284,0.0008013437,0.00010150572,0.00048456053],"domain_scores_gemma":[0.99867463,0.00013237582,0.00016793651,0.0003827026,0.00040571086,0.00023666697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011149412,0.00017693745,0.00045999823,0.00064392074,0.00042139884,0.0001256087,0.00032853338,0.00012429728,0.0003510762],"category_scores_gemma":[0.00022347578,0.00017712192,0.00016214265,0.000617852,0.00035150783,0.00049247616,0.00031466645,0.00028211798,0.00014410632],"study_design_candidate":"theoretical_or_conceptual","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":[0.0003666325,0.00047125446,0.09915949,0.00026455586,0.00038061192,0.000048923455,0.00013934032,0.00041917388,0.000048071146,0.89067394,0.006940597,0.0010874025],"study_design_scores_gemma":[0.005537073,0.0013182829,0.16214544,0.00014748018,0.00013236572,0.000044469583,0.0060975407,0.009445296,0.00033428418,0.084840156,0.7276396,0.0023179955],"about_ca_topic_score_codex":0.025126116,"about_ca_topic_score_gemma":0.0006135777,"teacher_disagreement_score":0.8058338,"about_ca_system_score_codex":0.0001666138,"about_ca_system_score_gemma":0.00016623079,"threshold_uncertainty_score":0.9813657},"labels":[],"label_agreement":null},{"id":"W7009267883","doi":"","title":"Employment in metropolitan Phoenix","year":2000,"lang":"en","type":"article","venue":"Arizona State University Library Digital Repository (Arizona State University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phoenix; Quarter (Canadian coin); Metropolitan area; Downtown; Baseline (sea); Tempe; Per capita","score_opus":0.0089958056509374,"score_gpt":0.14989946203728508,"score_spread":0.14090365638634766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009267883","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":[0.6227183,0.000099953075,0.00028536702,0.0005047693,0.0001146354,0.00018746036,0.00073478214,0.0001301076,0.37522465],"genre_scores_gemma":[0.7648362,0.00079331314,0.00020470844,0.00010854006,0.000031611144,2.9642626e-7,0.00014264337,0.00004501546,0.23383771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974839,0.000057738856,0.00062802306,0.0010225754,0.00011566574,0.0006921015],"domain_scores_gemma":[0.99856263,0.00009596367,0.00034205103,0.0005440644,0.00003371842,0.0004215626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007488506,0.00041538305,0.00069966324,0.0013569013,0.0003604407,0.0003581972,0.0008670677,0.0001369301,0.0007932757],"category_scores_gemma":[0.000007577086,0.0005749183,0.00043476213,0.001247114,0.0003004085,0.004698164,0.00030062345,0.00032905073,0.0005515355],"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":[0.0026344408,0.0017277405,0.44453427,0.0000807819,0.0014599435,0.006468364,0.002015033,0.0057074125,0.00006555654,0.5083574,0.0064156516,0.020533396],"study_design_scores_gemma":[0.002698931,0.00040089572,0.023777885,0.00004018927,0.000038486436,0.000019824933,0.0012691488,0.0017801807,0.00015127796,0.026513822,0.9420244,0.0012849623],"about_ca_topic_score_codex":0.004104752,"about_ca_topic_score_gemma":0.00032549835,"teacher_disagreement_score":0.93560874,"about_ca_system_score_codex":0.00091618794,"about_ca_system_score_gemma":0.00015222232,"threshold_uncertainty_score":0.9996702},"labels":[],"label_agreement":null},{"id":"W7009423504","doi":"","title":"Effects of climate change on mercury concentrations in Arctic char, Salvelinus alpinus, in the high Arctic.","year":2008,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Biomagnification; Arctic; Arctic char; Trophic level; Biota; Food web; Food chain","score_opus":0.02112701296378323,"score_gpt":0.2032372772452995,"score_spread":0.18211026428151628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009423504","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":[0.9927517,0.0018890825,0.000013011499,0.0024259319,0.0002644184,0.0005547383,0.00017794478,0.000005085572,0.0019180885],"genre_scores_gemma":[0.98067576,0.018537674,0.000025917181,0.00013447292,0.00006344699,0.0000044902467,0.0002954622,0.000014284109,0.00024851665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998898,0.000067197565,0.00042521078,0.00030873576,0.00007402311,0.00022681645],"domain_scores_gemma":[0.9985076,0.00027752103,0.0007875906,0.00034240613,0.000053050735,0.00003181819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039435978,0.00018351094,0.00063921075,0.00044158558,0.00013180151,0.000011812975,0.00058223814,0.00017053692,0.00008770785],"category_scores_gemma":[0.00004762292,0.00017883605,0.00029929672,0.0004371311,0.00010713474,0.00012682285,0.00003524479,0.0003016892,0.00006568934],"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":[0.0015743484,0.0017681015,0.078892104,0.0026475696,0.0010928656,0.00020531478,0.05783817,0.001920621,0.0007251207,0.84811157,0.0008573899,0.004366816],"study_design_scores_gemma":[0.0010042961,0.00015625927,0.9876592,0.0002039525,0.00009694834,0.000001935419,0.0021925396,0.0014346378,0.000019767327,0.005760714,0.0012014975,0.0002682576],"about_ca_topic_score_codex":0.034271095,"about_ca_topic_score_gemma":0.012194833,"teacher_disagreement_score":0.9087671,"about_ca_system_score_codex":0.0001392692,"about_ca_system_score_gemma":0.00003404642,"threshold_uncertainty_score":0.9721598},"labels":[],"label_agreement":null},{"id":"W7009591957","doi":"","title":"Essays In Urban And Regional Economics","year":2021,"lang":"en","type":"article","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profit margin; Unemployment; Productivity; Differential (mechanical device); Margin (machine learning); Shock (circulatory); Profit (economics); Barriers to entry","score_opus":0.029041131692090258,"score_gpt":0.18042473669236675,"score_spread":0.15138360500027648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009591957","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":[0.967826,0.0015230735,0.00044882164,0.0044232197,0.00006575871,0.00005561509,0.00012854468,0.000009852236,0.025519088],"genre_scores_gemma":[0.99518305,0.0013998208,0.0019088797,0.00013277138,0.000020656618,4.2973053e-7,0.000038502687,0.000011122363,0.0013047662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990682,0.00002502245,0.00028929408,0.0004095474,0.000023223978,0.00018472744],"domain_scores_gemma":[0.99925315,0.000052668584,0.0002379271,0.00030530285,0.000045424633,0.000105520274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033051005,0.00011282084,0.0004445606,0.00032256957,0.0001310081,0.000058978887,0.0002524761,0.00011090797,0.00048311517],"category_scores_gemma":[0.000031970067,0.00018079781,0.00015521295,0.00025822487,0.000118168784,0.0005967251,0.00017415592,0.0002097058,0.000087835004],"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":[0.000026405049,0.00011115606,0.26659715,0.000015427215,0.00008909144,0.000035989713,0.0006134193,0.0001780992,0.0000336233,0.7309284,0.0007703536,0.00060086907],"study_design_scores_gemma":[0.0025266837,0.000082445964,0.5325143,0.000042822325,0.00003775903,0.000027728927,0.0027595179,0.012979189,0.00002544908,0.24557705,0.20269391,0.00073314784],"about_ca_topic_score_codex":0.0016930168,"about_ca_topic_score_gemma":0.00704722,"teacher_disagreement_score":0.48535135,"about_ca_system_score_codex":0.000087644716,"about_ca_system_score_gemma":0.00004856499,"threshold_uncertainty_score":0.7372721},"labels":[],"label_agreement":null},{"id":"W7009992253","doi":"","title":"The Geographic and Demographic Challenges To the Regional Institutionalization Of the Texas Lower Rio Grande Valley [Los desafíos geográficos y democráticos de la institucionalización regional del Valle Bajo del Río Grande de Texas]","year":2009,"lang":"es","type":"article","venue":"ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Institutionalisation; Regional development; Population; Context (archaeology); Regional planning","score_opus":0.01655493354117035,"score_gpt":0.20413320993533443,"score_spread":0.18757827639416408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009992253","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":[0.88040173,0.040729843,0.015544582,0.056298174,0.00046575096,0.0020394356,0.00032907267,0.000069958995,0.004121461],"genre_scores_gemma":[0.8980297,0.099331506,0.00052172074,0.0013204863,0.00018584041,0.0000065049317,0.0000476345,0.00004661441,0.0005099886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99538165,0.000793115,0.0012345852,0.0011148726,0.0005543254,0.0009214263],"domain_scores_gemma":[0.9953022,0.001081671,0.0013125963,0.0013399471,0.00047820032,0.00048537608],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003874558,0.00073481747,0.001077164,0.0008519262,0.0030605558,0.0003541991,0.0025958652,0.0007365443,0.000104517305],"category_scores_gemma":[0.00042078458,0.0005464475,0.001491257,0.0014957316,0.0024349852,0.0005437116,0.00047850923,0.0013346066,0.000032906442],"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":[0.0014445165,0.0009798509,0.31589404,0.00012928554,0.0021969052,0.000021044378,0.001200132,0.041243598,0.000019464918,0.6277115,0.002947664,0.0062120077],"study_design_scores_gemma":[0.0030784206,0.00023527382,0.75040746,0.0004346628,0.0006045501,0.00007180747,0.00027493137,0.012621495,0.0000069978905,0.05572792,0.17578907,0.0007474101],"about_ca_topic_score_codex":0.002170023,"about_ca_topic_score_gemma":0.0039746724,"teacher_disagreement_score":0.5719836,"about_ca_system_score_codex":0.00027349504,"about_ca_system_score_gemma":0.00054999423,"threshold_uncertainty_score":0.9996987},"labels":[],"label_agreement":null},{"id":"W7010631183","doi":"","title":"Internet haute vitesse et développement économique territorial : Estimation des effets du déploiement des technologies à large bande sur la création et les fermetures locales d’entreprises au Québec, 2005-2019","year":2021,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Regional development; Transportation infrastructure; Revenue","score_opus":0.06724045181126763,"score_gpt":0.2890706170842485,"score_spread":0.22183016527298088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010631183","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":[0.76408154,0.0070805782,0.17934155,0.008372742,0.0038149091,0.0011165998,0.0014131701,0.00026618983,0.034512725],"genre_scores_gemma":[0.94022053,0.0044521787,0.014356876,0.00014082075,0.0004497171,0.00038517258,0.0048125,0.000078806705,0.035103373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945267,0.0008599498,0.0017821327,0.0016104585,0.00045949957,0.0007612966],"domain_scores_gemma":[0.99417627,0.0027293,0.001334934,0.00044247022,0.00105725,0.0002597955],"candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0054638623,0.00085086527,0.0009776453,0.0011095783,0.0012713338,0.0028367469,0.00077384565,0.0016736853,0.00008023098],"category_scores_gemma":[0.01032947,0.0010008101,0.00076894945,0.00060978386,0.0017329586,0.0026843906,0.00034488874,0.0013391114,0.00007917652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0002812681,0.002200821,0.16452526,0.000846305,0.0013992753,0.000101423284,0.0042196214,0.14814492,0.0009156939,0.66077936,0.0048944745,0.01169157],"study_design_scores_gemma":[0.0046539945,0.00020543483,0.29806066,0.0052220924,0.00042263273,0.00038699288,0.0018739934,0.15762529,0.016650569,0.14919181,0.36196175,0.0037447724],"about_ca_topic_score_codex":0.017576609,"about_ca_topic_score_gemma":0.050880324,"teacher_disagreement_score":0.51158756,"about_ca_system_score_codex":0.009486084,"about_ca_system_score_gemma":0.008066211,"threshold_uncertainty_score":0.99962234},"labels":[],"label_agreement":null},{"id":"W7014323293","doi":"","title":"Oklahoma economic outlook 2008 metropolitan area outlook tables","year":2008,"lang":"en","type":"other","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Table (database); Quarter (Canadian coin); Work (physics)","score_opus":0.027120805758239382,"score_gpt":0.203855080406887,"score_spread":0.1767342746486476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014323293","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019739875,0.011236537,0.001328082,0.00103365,0.0010165866,0.00034492847,0.002083055,0.00021571836,0.98254406],"genre_scores_gemma":[0.005494321,0.014559082,0.0012306027,0.00065015996,0.0011304033,0.000064859996,0.00049019617,0.00076332456,0.97561705],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963658,0.000018558343,0.001422859,0.0013712504,0.00006188991,0.0007596733],"domain_scores_gemma":[0.9971454,0.000053623302,0.0012883517,0.001157003,0.000022055718,0.00033356313],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023806917,0.0007661229,0.0020576555,0.0015358452,0.00016034328,0.00016160004,0.00081510603,0.0006622549,0.06822142],"category_scores_gemma":[0.00003121428,0.00085263356,0.0009407184,0.00018366794,0.000252703,0.00016451628,0.00018008317,0.00030931385,0.020721996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058648907,0.000060025523,0.0045754197,0.000020179583,0.00063381426,0.000013479375,0.000016702192,0.000047216807,2.2495357e-7,0.25008193,0.74439627,0.0001488709],"study_design_scores_gemma":[0.0004974252,0.00004853377,0.00022619363,0.000026247897,0.000040856983,0.000015398151,0.000052415653,0.002261397,0.0000044889607,0.010647858,0.9851248,0.0010543657],"about_ca_topic_score_codex":0.055268444,"about_ca_topic_score_gemma":0.014610756,"teacher_disagreement_score":0.24072856,"about_ca_system_score_codex":0.000963733,"about_ca_system_score_gemma":0.0001232646,"threshold_uncertainty_score":0.99939245},"labels":[],"label_agreement":null},{"id":"W7015291846","doi":"","title":"Speculation and Monopoly in Urban Development: Analytical foundations with evidence for Toronto","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speculation; Monopoly; Competition (biology); Subject (documents); Work (physics)","score_opus":0.07030363004232085,"score_gpt":0.25041083025127864,"score_spread":0.1801072002089578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015291846","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":[0.8607035,0.000026565933,0.015960788,0.0011797784,0.00009790724,0.00078552775,0.00005671828,0.00008615272,0.12110305],"genre_scores_gemma":[0.9805187,0.017431354,0.0016846295,0.000037052072,0.000038023754,0.000009049591,0.000048888447,0.000014439454,0.00021787352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917495,0.000009025489,0.00022800961,0.00036588457,0.000027018608,0.00019511131],"domain_scores_gemma":[0.9995709,0.00008586913,0.00012036915,0.00013968688,0.000032958465,0.000050188963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020307334,0.00010772462,0.00022755716,0.003201856,0.00012452656,0.000060261733,0.00012367366,0.000053295487,0.000025784337],"category_scores_gemma":[0.000046912926,0.0001250884,0.000056720608,0.0021835915,0.00003960332,0.00054276903,0.000053424752,0.000045358363,0.000026195685],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034884768,0.00014788906,0.21364358,0.00008943885,0.00035032944,0.000031593114,0.0069372654,0.0010532646,0.0000010276672,0.76328105,0.0002935314,0.013822191],"study_design_scores_gemma":[0.00070332043,0.00006765569,0.029892178,0.000030408988,0.00002061055,8.2115963e-7,0.00029245258,0.0690516,0.00000471182,0.00009439882,0.8995955,0.00024637172],"about_ca_topic_score_codex":0.049513068,"about_ca_topic_score_gemma":0.1066599,"teacher_disagreement_score":0.89930195,"about_ca_system_score_codex":0.00036182042,"about_ca_system_score_gemma":0.00010309405,"threshold_uncertainty_score":0.9568163},"labels":[],"label_agreement":null},{"id":"W7018858660","doi":"","title":"Essays in regional and urban economics","year":2019,"lang":"en","type":"dissertation","venue":"SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban hierarchy; Hierarchy; Population; Population growth; Variable (mathematics); Urban geography; Urban economics","score_opus":0.012993818587873584,"score_gpt":0.14842565839819738,"score_spread":0.1354318398103238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018858660","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":[0.92529255,0.0010129376,0.00021634201,0.00073075946,0.0006092042,0.0007695553,0.0029973744,0.000093542585,0.068277754],"genre_scores_gemma":[0.84231234,0.016546154,0.00054563594,0.000075691074,0.00009888558,2.9282253e-7,0.0031759718,0.00014258471,0.13710245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958177,0.00011146548,0.0007846982,0.0019579062,0.00017899284,0.00114923],"domain_scores_gemma":[0.9963687,0.00017540858,0.0017778712,0.0008647723,0.00022129921,0.000591955],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029570746,0.00089256495,0.0021050768,0.0034931153,0.00050900294,0.000104878214,0.0016072292,0.000827787,0.0013834804],"category_scores_gemma":[0.000024876686,0.0014885726,0.00097056304,0.0013583614,0.00044088095,0.001418472,0.00046849033,0.0008469765,0.00025019798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0067350282,0.001499452,0.23797244,0.0015718419,0.0037011656,0.0028832646,0.016498884,0.0030443235,0.00009161862,0.7075158,0.010247375,0.008238843],"study_design_scores_gemma":[0.011056897,0.00056171906,0.26913396,0.00064538216,0.0005985777,0.000035399,0.03215034,0.010175072,0.000029302599,0.007222034,0.66441435,0.0039769686],"about_ca_topic_score_codex":0.01072763,"about_ca_topic_score_gemma":0.022266656,"teacher_disagreement_score":0.7002937,"about_ca_system_score_codex":0.0017150338,"about_ca_system_score_gemma":0.00054624275,"threshold_uncertainty_score":0.99952936},"labels":[],"label_agreement":null},{"id":"W7021930190","doi":"","title":"References","year":2017,"lang":"en","type":"book-chapter","venue":"OpenEdition (OpenEdition)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public policy; Work (physics); Government (linguistics)","score_opus":0.05610556882044405,"score_gpt":0.22799327889094875,"score_spread":0.1718877100705047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7021930190","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000054490713,0.0016115564,0.0004818875,0.02407345,0.0016924838,0.00035218085,0.002424501,0.000056714973,0.9692527],"genre_scores_gemma":[0.044200465,0.0052398243,0.00039456494,0.008597675,0.0017331011,0.00013874206,0.003819486,0.00011784643,0.9357583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969785,0.0000118572325,0.0013219138,0.001150696,0.0001471158,0.00038988836],"domain_scores_gemma":[0.99617743,0.000071602735,0.0021420585,0.0011744179,0.00017744646,0.00025706657],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00055036944,0.0005774784,0.001276529,0.00051160785,0.00070901966,0.00069770234,0.0010432645,0.00060063065,0.028178],"category_scores_gemma":[0.00008108537,0.0006756262,0.0006418265,0.000031070493,0.0002720402,0.005081056,0.00023399499,0.00047586238,0.024892393],"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":[0.000018318637,0.000030391006,0.000054527423,0.00002585258,0.00024450695,0.000020867943,0.000011081596,0.000025016123,6.1712814e-7,0.97738546,0.020482691,0.0017006523],"study_design_scores_gemma":[0.00027249954,0.00006463993,0.0010013881,0.00008866326,0.000040977353,0.000007666021,0.0000036669214,0.00012569698,0.0000055435216,0.37811482,0.61970544,0.0005689908],"about_ca_topic_score_codex":0.00040460023,"about_ca_topic_score_gemma":0.0029427868,"teacher_disagreement_score":0.59927064,"about_ca_system_score_codex":0.00024899497,"about_ca_system_score_gemma":0.000098180426,"threshold_uncertainty_score":0.9995695},"labels":[],"label_agreement":null},{"id":"W7023538142","doi":"","title":"Optimum size of district metered areas","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leakage (economics); Mathematical model; Boundary (topology); Sizing; Computation","score_opus":0.02563566291769492,"score_gpt":0.21368622811438984,"score_spread":0.1880505651966949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023538142","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":[0.71529114,0.00024245676,0.016296748,0.0009822329,0.00018476277,0.00008607569,0.00011108046,0.000016335474,0.26678914],"genre_scores_gemma":[0.9950948,0.00010518271,0.0034310503,0.00011648413,0.000073006384,0.0000028802283,0.000010410265,0.000011827181,0.0011543642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989097,0.000003932042,0.0006140958,0.00024013598,0.000028028098,0.00020408875],"domain_scores_gemma":[0.99917614,0.00012388686,0.00032971127,0.00025659738,0.000028424745,0.00008522697],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047941206,0.00009791911,0.00037811644,0.00014146714,0.000040646315,0.000020090281,0.00019529335,0.00006288575,0.0013960197],"category_scores_gemma":[0.00011200462,0.000107688444,0.00021907786,0.00020615014,0.00005072764,0.000077727345,0.00003910286,0.00006339136,0.00015849397],"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":[0.00006438075,0.00017722206,0.07773993,0.000023350805,0.0002659123,0.000009074921,0.00014107015,0.00014405465,0.0010870909,0.91060334,0.001923745,0.007820823],"study_design_scores_gemma":[0.0013596409,0.00020562804,0.34668145,0.000017271772,0.000043125696,0.0000073278625,0.00011131768,0.011509568,0.0029983988,0.56233996,0.0739945,0.0007318077],"about_ca_topic_score_codex":0.00023282261,"about_ca_topic_score_gemma":0.000045495,"teacher_disagreement_score":0.34826338,"about_ca_system_score_codex":0.00005062042,"about_ca_system_score_gemma":0.000009323255,"threshold_uncertainty_score":0.99951684},"labels":[],"label_agreement":null},{"id":"W7025261214","doi":"","title":"Türkiye’deki serbest bölgelerde ihracata yönelik üretimin rekabet avantajları","year":2007,"lang":"tr","type":"other","venue":"Dspace Repository (Marmara Üniversitesi)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Quarter (Canadian coin); State (computer science); Consumption (sociology)","score_opus":0.01690060499018892,"score_gpt":0.20212191764999346,"score_spread":0.18522131265980454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025261214","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043537438,0.013728561,0.0014089735,0.0025121148,0.0045789895,0.0012215826,0.0013177671,0.00026278713,0.9314318],"genre_scores_gemma":[0.06747844,0.011118558,0.0018232657,0.00079878245,0.0027595188,0.000025642019,0.00068840286,0.0007783099,0.9145291],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9920479,0.00013666555,0.0023464253,0.0032311475,0.00038579784,0.0018520481],"domain_scores_gemma":[0.9925295,0.000318501,0.0037027646,0.0021344195,0.00027102648,0.0010437693],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0013107121,0.0017342942,0.0031406751,0.0033652885,0.0009988531,0.0007302146,0.0021321632,0.0019970825,0.01120796],"category_scores_gemma":[0.000091713315,0.002306521,0.0019517251,0.0013307647,0.0006301309,0.00075130974,0.0008185487,0.0015379235,0.013627293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081630744,0.0015557199,0.18460461,0.0010167352,0.008109017,0.0023787469,0.0016595485,0.00108466,0.0002743387,0.03141719,0.76473093,0.0023521816],"study_design_scores_gemma":[0.0017957203,0.00026891098,0.009598959,0.00037700747,0.0007372929,0.00013599203,0.00064502994,0.009072169,0.00020197175,0.00040273575,0.9737931,0.0029710922],"about_ca_topic_score_codex":0.005154049,"about_ca_topic_score_gemma":0.00066112034,"teacher_disagreement_score":0.20906219,"about_ca_system_score_codex":0.0018283593,"about_ca_system_score_gemma":0.00030872313,"threshold_uncertainty_score":0.9995403},"labels":[],"label_agreement":null},{"id":"W7026984329","doi":"","title":"ARCHIVEIT-3490-TWELVE_HOURS-MXEFBC-20130203045910-00000-wbgrp-crawl064.us.archive.org-6680.warc.gz","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.009303481871090832,"score_gpt":0.1688934337256894,"score_spread":0.15958995185459857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026984329","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037171994,0.0009869725,0.000027106285,0.0006455927,0.00056560175,0.00065342523,0.0015273663,0.00015715031,0.9950651],"genre_scores_gemma":[0.002475643,0.003099786,0.0014434961,0.00082254875,0.0005398548,0.00007027991,0.00084886525,0.00027941802,0.9904201],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99644095,0.000057500678,0.0019322458,0.00067629636,0.00019841584,0.0006945671],"domain_scores_gemma":[0.9963174,0.000118134034,0.0022237431,0.00089248206,0.00010089869,0.00034732948],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00039875676,0.00072601036,0.0014609846,0.0004937957,0.00015399882,0.00018907605,0.00093888905,0.00057307445,0.52887017],"category_scores_gemma":[0.00011326702,0.0008030451,0.0007806222,0.000027554897,0.00033013214,0.0000017019956,0.00026116025,0.00054616877,0.13044046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044976703,0.00010102981,0.00024258078,0.000291124,0.0003199047,0.000011868592,0.000119496945,0.0003746728,2.7593637e-7,0.0059208344,0.99156433,0.0010089139],"study_design_scores_gemma":[0.0006815507,0.00015251536,0.0003163644,0.00014023978,0.000062013845,0.0000276748,0.000049300103,0.00061596755,0.0000021801354,0.0010554676,0.9960322,0.00086453365],"about_ca_topic_score_codex":0.04128763,"about_ca_topic_score_gemma":0.0036102624,"teacher_disagreement_score":0.3984297,"about_ca_system_score_codex":0.00012315436,"about_ca_system_score_gemma":0.0000511633,"threshold_uncertainty_score":0.99944204},"labels":[],"label_agreement":null},{"id":"W7029060815","doi":"","title":"Howie Day Live at Sears Theatre at the Air Canada Centre on 2002-11-22","year":2002,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Brace; Ridiculous; Morning","score_opus":0.0067372470137937596,"score_gpt":0.1465142988693559,"score_spread":0.13977705185556216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029060815","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003831169,0.0012019044,1.2327588e-7,0.0032242814,0.00036138677,0.00032021725,0.0016107647,0.000032152173,0.99286604],"genre_scores_gemma":[0.0030410753,0.0014924351,0.000027609267,0.0013128078,0.0001925634,0.00001090967,0.00026531063,0.00010913369,0.99354815],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823207,0.00003716324,0.0008415128,0.00035678805,0.00015716592,0.00037527384],"domain_scores_gemma":[0.9979919,0.00014642952,0.0010797613,0.0005888014,0.000050188868,0.00014287962],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022405121,0.000383072,0.00065918884,0.00009230094,0.0001842999,0.000045060828,0.00046197127,0.00029424464,0.7449347],"category_scores_gemma":[0.00004469832,0.0003401478,0.0003231276,0.000012423192,0.00011756743,3.5457927e-7,0.00015267268,0.00021519372,0.055087395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021700816,0.000026686153,0.000070761016,0.00006366466,0.00015582002,0.000012326445,0.00008317047,0.0036750552,5.3408176e-9,0.00039620485,0.99518293,0.0003116642],"study_design_scores_gemma":[0.00030896187,0.00003793444,0.000051543582,0.000057983772,0.000029438314,0.000011339759,0.00005984769,0.00036595057,9.007093e-7,0.000024310613,0.99867404,0.0003777776],"about_ca_topic_score_codex":0.6254874,"about_ca_topic_score_gemma":0.80974156,"teacher_disagreement_score":0.6898473,"about_ca_system_score_codex":0.0005143603,"about_ca_system_score_gemma":0.00003589661,"threshold_uncertainty_score":0.99990505},"labels":[],"label_agreement":null},{"id":"W7038309467","doi":"","title":"Hampshire County Labor Market Summary-Update 2006","year":2006,"lang":"en","type":"article","venue":"The Research Repository @ WVU (West Virginia University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; West virginia; Unemployment; Population; Current Population Survey; Census; Quarter (Canadian coin)","score_opus":0.024778018081428734,"score_gpt":0.22104325884124673,"score_spread":0.196265240759818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038309467","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":[0.52952874,0.0010643719,0.0001636312,0.007382818,0.00029981966,0.0003002692,0.00039408694,0.00006417659,0.46080205],"genre_scores_gemma":[0.8592265,0.0010380693,0.000065221764,0.000108428336,0.000442307,0.000004418678,0.000039720206,0.000032974505,0.13904236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99789804,0.00021524169,0.000426961,0.00063890277,0.0001788008,0.00064206566],"domain_scores_gemma":[0.9982734,0.00026875953,0.0002807374,0.0008024605,0.00020805649,0.00016660265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015432038,0.00021703503,0.00042240048,0.0007212779,0.0010842669,0.0002863325,0.0010502466,0.00015300827,0.00048718488],"category_scores_gemma":[0.000045713765,0.00021432622,0.00025513096,0.0010768278,0.0005142258,0.0004124056,0.00029367764,0.00051315187,0.00067388173],"study_design_candidate":"not_applicable","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":[0.00027391952,0.00025192052,0.08650465,0.000035702527,0.0002754301,0.00032847,0.00008621255,0.00069563097,0.00016831183,0.8283394,0.082874104,0.00016622242],"study_design_scores_gemma":[0.0005465595,0.00006240094,0.06522372,0.000016042344,0.000021407464,0.000012030835,0.00019172409,0.0033780579,0.00009934855,0.009051035,0.9210516,0.00034605022],"about_ca_topic_score_codex":0.010458634,"about_ca_topic_score_gemma":0.001620568,"teacher_disagreement_score":0.8381775,"about_ca_system_score_codex":0.00047754118,"about_ca_system_score_gemma":0.00014076594,"threshold_uncertainty_score":0.9961308},"labels":[],"label_agreement":null},{"id":"W7038362735","doi":"","title":"The influence of metropolises: concentration and deconcentration of population in Canada","year":2000,"lang":"en","type":"book-chapter","venue":"OPUS (Augsburg University)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Field (mathematics); Ethnic group; Consumption (sociology)","score_opus":0.008723505827504766,"score_gpt":0.15208780433277033,"score_spread":0.14336429850526555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038362735","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":[0.95724416,0.0010343743,0.000020457575,0.00024307804,0.000072508614,0.00019504418,0.00023714043,0.0000026888924,0.04095054],"genre_scores_gemma":[0.9853923,0.0069385734,0.000013237961,0.000015518703,0.000012312454,2.2873105e-7,0.00005231512,0.000008084988,0.00756743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991335,0.000007810395,0.00049842393,0.00021338392,0.000039745715,0.00010713056],"domain_scores_gemma":[0.99900055,0.0000663903,0.0006873699,0.00016464759,0.000040111514,0.000040921375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008941182,0.0001174612,0.00038786104,0.00014476328,0.000061286504,0.000012699032,0.0001475429,0.00009036103,0.000053763535],"category_scores_gemma":[0.000012548726,0.00013193519,0.00007118991,0.00007899496,0.000083679304,0.00014455953,0.000022707856,0.00008750143,0.0000016920188],"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":[0.000032591564,0.000004312172,0.02151893,0.000013824116,0.000062468986,0.000002786752,0.00003045903,0.0043260395,0.000016705373,0.9731053,0.000021104363,0.000865476],"study_design_scores_gemma":[0.0025497738,0.00019906461,0.23804525,0.00039962985,0.00022670846,0.0000047045714,0.0004515096,0.015070628,0.0004809147,0.45136723,0.28972036,0.0014842282],"about_ca_topic_score_codex":0.7656912,"about_ca_topic_score_gemma":0.2087988,"teacher_disagreement_score":0.5568924,"about_ca_system_score_codex":0.00051633193,"about_ca_system_score_gemma":0.0001730745,"threshold_uncertainty_score":0.80563855},"labels":[],"label_agreement":null},{"id":"W7038651123","doi":"","title":"Halifax Town Council decision on solar delayed","year":2022,"lang":"en","type":"other","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.047973299860467396,"score_gpt":0.20875383090826957,"score_spread":0.16078053104780218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038651123","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000099983634,0.0017115205,0.0029942524,0.0007514835,0.00069654686,0.00018509192,0.0011308758,0.00008995351,0.99234027],"genre_scores_gemma":[0.0023564182,0.0024207556,0.0008493082,0.0019900054,0.00035582535,0.00004987315,0.00026749106,0.00037579332,0.99133456],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981102,0.000010023092,0.00066712376,0.0007962421,0.00013097691,0.0002854858],"domain_scores_gemma":[0.9985046,0.00006656941,0.0005779696,0.0007095547,0.000025679807,0.00011563181],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000561911,0.00032523135,0.0008184955,0.00047600458,0.00011972882,0.000095217474,0.0004911831,0.00026189882,0.25797978],"category_scores_gemma":[0.00007539934,0.00034626198,0.00043643778,0.00019953935,0.00003543972,0.000041456882,0.00014053458,0.00027016897,0.0061418307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022784585,0.00006665688,0.00026923127,0.0000044635085,0.00024146771,0.000007839923,0.000015414758,0.00018370671,6.742701e-8,0.1521858,0.8451587,0.0018438522],"study_design_scores_gemma":[0.00032980865,0.00009729858,0.000040841864,0.000009392145,0.000014564378,0.0000015928498,0.000012888114,0.0020976067,4.2397366e-7,0.01944641,0.97751695,0.0004322088],"about_ca_topic_score_codex":0.013921112,"about_ca_topic_score_gemma":0.0060924096,"teacher_disagreement_score":0.25183794,"about_ca_system_score_codex":0.0007831722,"about_ca_system_score_gemma":0.00009567618,"threshold_uncertainty_score":0.9998989},"labels":[],"label_agreement":null},{"id":"W7042522972","doi":"","title":"The Pittsburg Micropolitan Area Economic Report, Quarter 1, 2022","year":2021,"lang":"en","type":"article","venue":"Pittsburg State University Digital Commons (Pittsburg State University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); State (computer science); Center (category theory); Context (archaeology)","score_opus":0.014428252917224115,"score_gpt":0.17507923706303127,"score_spread":0.16065098414580717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042522972","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":[0.77299637,0.0016585937,0.031174539,0.012854057,0.0017883772,0.0008717325,0.0048192875,0.000456468,0.17338058],"genre_scores_gemma":[0.91089624,0.0041621965,0.00007536565,0.00019504876,0.000119305674,0.0000014180484,0.00047285578,0.00010060313,0.08397698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99582744,0.00012248618,0.001097532,0.0015611966,0.00016835301,0.0012229928],"domain_scores_gemma":[0.99588996,0.0004432502,0.0011089835,0.0016412798,0.00028024273,0.00063631014],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004453362,0.0006815396,0.0011308431,0.000979065,0.0015607312,0.00084517355,0.0014538015,0.00020287075,0.00043007542],"category_scores_gemma":[0.0000857812,0.00081936223,0.0010457486,0.00111383,0.00070694543,0.0018059612,0.0009180594,0.0006217821,0.00052744144],"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":[0.0011744882,0.0012023699,0.13382317,0.00009544127,0.0047242837,0.017993053,0.0021730189,0.0049498742,0.00014829209,0.7257581,0.10091114,0.0070468164],"study_design_scores_gemma":[0.0014401805,0.00011693023,0.0047040842,0.000024286865,0.000081822225,0.00014067239,0.00340026,0.0011185767,0.000044642053,0.065308064,0.9224821,0.0011383957],"about_ca_topic_score_codex":0.0024036954,"about_ca_topic_score_gemma":0.0023755217,"teacher_disagreement_score":0.82157093,"about_ca_system_score_codex":0.0018051327,"about_ca_system_score_gemma":0.00041439955,"threshold_uncertainty_score":0.9997391},"labels":[],"label_agreement":null},{"id":"W7042978400","doi":"","title":"Relocation of small and medium industries (SMIs) manufacturing to non-metropolitan areas: a lesson from USA and Canada","year":2000,"lang":"en","type":"article","venue":"Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Relocation; Decentralization; Clothing; Product (mathematics); Medium term; Quality (philosophy); Rural area","score_opus":0.011901965941379967,"score_gpt":0.1638934007363233,"score_spread":0.15199143479494334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042978400","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":[0.9854828,0.00022282371,0.00070942886,0.0015656328,0.0001742629,0.00020498809,0.00040583572,0.0000181132,0.011216074],"genre_scores_gemma":[0.99712455,0.0002228324,0.0006279746,0.0001811991,0.00013216728,0.0000031920806,0.000104804574,0.000018018038,0.0015852799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982507,0.000028650866,0.00049883674,0.00073207245,0.00013829609,0.00035142046],"domain_scores_gemma":[0.998781,0.00008849542,0.00032795334,0.00033773933,0.00009584048,0.00036895619],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012977037,0.00031298093,0.00059777347,0.0005208651,0.00034966072,0.000084213454,0.00034029916,0.00019505747,0.0004818683],"category_scores_gemma":[0.000016944397,0.00041926221,0.000118563505,0.00028461934,0.00033343697,0.0006629686,0.00014915365,0.00023383916,0.000031437452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027825485,0.000079654325,0.0739393,0.000049346578,0.00045626477,0.00032599235,0.000521443,0.89601403,0.00021551659,0.027031088,0.00029848743,0.00079062185],"study_design_scores_gemma":[0.0020550247,0.00027129622,0.052690357,0.0002267823,0.00025524994,0.00015081985,0.0045458716,0.9075305,0.002099016,0.002345564,0.026500734,0.0013288093],"about_ca_topic_score_codex":0.50956196,"about_ca_topic_score_gemma":0.003369618,"teacher_disagreement_score":0.5061923,"about_ca_system_score_codex":0.0011233102,"about_ca_system_score_gemma":0.00035934403,"threshold_uncertainty_score":0.9998259},"labels":[],"label_agreement":null},{"id":"W7043983314","doi":"","title":"Türkiye&amp;#039;de İkamet Amaçlı Konut Pazarının Makroekonomik Değişkenler ile İlişkisi","year":2016,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Paid work; Point (geometry)","score_opus":0.02722052753975381,"score_gpt":0.18331957878929867,"score_spread":0.15609905124954485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043983314","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":[0.77114135,0.0017759951,0.017945092,0.012579014,0.0012897289,0.00055073074,0.002209999,0.00016534534,0.19234273],"genre_scores_gemma":[0.8544346,0.008162413,0.0014813974,0.00059483375,0.0005145761,0.0000057963034,0.00008382757,0.00012434856,0.13459821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99514025,0.00012061665,0.0013043496,0.0018222877,0.00014552403,0.0014669702],"domain_scores_gemma":[0.996005,0.00043114336,0.0012459662,0.0013130979,0.00021226253,0.00079250504],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008394954,0.00080651476,0.0015804801,0.0016413227,0.0006287229,0.00037926072,0.0015100668,0.00064434425,0.005743163],"category_scores_gemma":[0.00018145728,0.0009106029,0.001200656,0.0011771816,0.00053983665,0.0009655982,0.0005373594,0.00044125126,0.0050255666],"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":[0.00063575275,0.0006409655,0.095494896,0.00012314979,0.0020527395,0.00028090202,0.00087281904,0.00063826464,0.00013125266,0.85041595,0.044813585,0.0038997305],"study_design_scores_gemma":[0.0025151952,0.00013442997,0.014332923,0.0001037677,0.00020957834,0.000019334078,0.00053513073,0.0013452723,0.00004935866,0.013516027,0.965855,0.0013839813],"about_ca_topic_score_codex":0.002283862,"about_ca_topic_score_gemma":0.002555823,"teacher_disagreement_score":0.9210414,"about_ca_system_score_codex":0.002279551,"about_ca_system_score_gemma":0.00033526155,"threshold_uncertainty_score":0.99933445},"labels":[],"label_agreement":null},{"id":"W7046061285","doi":"","title":"The California Manufacturing Sector Edges Up in the Third Quarter","year":2025,"lang":"en","type":"article","venue":"Chapman University Digital Commons (Chapman University)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Manufacturing sector; Manufacturing; Work (physics)","score_opus":0.019991143898147296,"score_gpt":0.1688186571815773,"score_spread":0.14882751328343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7046061285","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":[0.60109967,0.00017749023,0.0012630519,0.0075386083,0.0002660959,0.00027294637,0.00035281686,0.000055562483,0.38897377],"genre_scores_gemma":[0.9780064,0.00019318338,0.000007397276,0.00018496062,0.000036221336,1.6205053e-7,0.00003584922,0.0000091136835,0.021526672],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876446,0.000045418015,0.00028931137,0.00045346923,0.00005693996,0.00039038656],"domain_scores_gemma":[0.9988532,0.0002510311,0.00020778232,0.00057026546,0.00003378684,0.00008390802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002177422,0.00022968299,0.00036198177,0.00077535067,0.0008454579,0.0002949331,0.0013123949,0.00011826817,0.000033645112],"category_scores_gemma":[0.000020407771,0.00021470402,0.00032749135,0.00066351186,0.00028392862,0.00052310777,0.0003225466,0.0003311115,0.00023570629],"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":[0.00011069685,0.00010440214,0.022165213,0.000016886006,0.00021149873,0.0000764327,0.0006783089,0.0002024981,0.000001133088,0.9691208,0.0063634664,0.00094864186],"study_design_scores_gemma":[0.00091511506,0.000049274662,0.01823014,0.000024718052,0.000030836152,0.00000332884,0.0077785626,0.0012575968,0.000016239095,0.018502109,0.95281285,0.0003792432],"about_ca_topic_score_codex":0.0009274904,"about_ca_topic_score_gemma":0.0039363718,"teacher_disagreement_score":0.9506187,"about_ca_system_score_codex":0.00036414817,"about_ca_system_score_gemma":0.00004066494,"threshold_uncertainty_score":0.8755376},"labels":[],"label_agreement":null},{"id":"W7067030300","doi":"","title":"L'impact des politiques de transports sur la concentration spatiale des activités","year":2010,"lang":"fr","type":"other","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Concurrence; Rail transportation; Transportation infrastructure","score_opus":0.028787160303821707,"score_gpt":0.24451564137901086,"score_spread":0.21572848107518916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067030300","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":[0.59931105,0.0025135616,0.021821469,0.0006917104,0.00031930776,0.00025031925,0.00051520235,0.000045327386,0.37453204],"genre_scores_gemma":[0.7979884,0.011809462,0.003874689,0.00014333178,0.0005551831,0.000027936052,0.00016299186,0.00018856332,0.1852494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748003,0.0000681489,0.0009121698,0.00073226425,0.000049282124,0.00075809954],"domain_scores_gemma":[0.99819356,0.0002079903,0.00074239826,0.00042850847,0.00009176803,0.00033577072],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005591361,0.0005451031,0.0011212472,0.0003160124,0.00020070546,0.00031089492,0.0003211147,0.0009345636,0.057339158],"category_scores_gemma":[0.00011915997,0.0006146438,0.00083179935,0.00019357335,0.00070070516,0.00046161405,0.000027837523,0.00048757563,0.00038353697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035431312,0.0003733285,0.68839884,0.00014784599,0.00075506803,0.00002201392,0.00077847124,0.00054031506,0.00009382487,0.26813546,0.0011992401,0.039520163],"study_design_scores_gemma":[0.0006488267,0.00017447842,0.6406101,0.0001583669,0.00012913333,0.000031303014,0.000040754505,0.011114909,0.00029149742,0.06949399,0.27621529,0.0010913428],"about_ca_topic_score_codex":0.124742225,"about_ca_topic_score_gemma":0.102154434,"teacher_disagreement_score":0.27501607,"about_ca_system_score_codex":0.00061812287,"about_ca_system_score_gemma":0.00030075564,"threshold_uncertainty_score":0.9996305},"labels":[],"label_agreement":null},{"id":"W7070302541","doi":"","title":"PNWER Regional Economic Trends 1990 - 2005","year":2006,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Regional planning; Regional policy; Economic impact analysis; Regional development; Economic forecasting","score_opus":0.02357826947653292,"score_gpt":0.19560966023969623,"score_spread":0.17203139076316332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070302541","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":[0.8867575,0.00031056462,0.002008723,0.0050777337,0.00053852116,0.00012785397,0.0003327201,0.00014519462,0.10470121],"genre_scores_gemma":[0.9081039,0.00020158682,0.00017024316,0.00041375007,0.0005227485,0.000001732769,0.00020539237,0.00006082762,0.09031982],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977253,0.000029620229,0.00069107435,0.0008874555,0.00006933315,0.0005972381],"domain_scores_gemma":[0.99855363,0.000052417872,0.0005959162,0.0005608807,0.000026458705,0.00021068024],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026530732,0.00036678466,0.0006846264,0.0011436534,0.00024850338,0.00023531275,0.0007334344,0.00022095676,0.0007280239],"category_scores_gemma":[0.000003698675,0.00047619504,0.0004763734,0.00028156023,0.0001461212,0.0008222185,0.00015202517,0.00023057572,0.0020967927],"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":[0.00009804859,0.00021205029,0.64848065,0.000021429772,0.00029056513,0.00009085768,0.00016365969,0.004281505,0.000041364736,0.3389149,0.006612016,0.0007929725],"study_design_scores_gemma":[0.001126248,0.000057424753,0.09161717,0.000017868528,0.000039946844,0.000018617742,0.000058980895,0.0009234131,0.000028734099,0.0034794246,0.90192074,0.0007114302],"about_ca_topic_score_codex":0.0062965364,"about_ca_topic_score_gemma":0.011992377,"teacher_disagreement_score":0.89530873,"about_ca_system_score_codex":0.0006010418,"about_ca_system_score_gemma":0.00004933618,"threshold_uncertainty_score":0.999769},"labels":[],"label_agreement":null},{"id":"W7082394438","doi":"10.15468/dl.ddtx9e","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","score_opus":0.018756428428372218,"score_gpt":0.19562125816595527,"score_spread":0.17686482973758305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082394438","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014128725,0.000124507,0.000037781494,0.0008042769,0.0006087299,0.00017912849,0.9964255,0.000030457704,0.001648301],"genre_scores_gemma":[0.000037526628,0.00045066775,0.0000019193244,0.0009657469,0.00000224798,0.00000496943,0.99853516,1.00007815e-8,0.0000017264819],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850875,0.000013980493,0.00081246195,0.00033910506,0.00006802085,0.00025768415],"domain_scores_gemma":[0.9985217,0.00001736101,0.0006691765,0.0005642594,0.000108651475,0.00011885375],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030459283,0.00026321836,0.0005691962,0.00024205321,0.00022874345,0.00020684407,0.0006046969,0.0003460696,0.002466933],"category_scores_gemma":[0.0001285146,0.00032220205,0.00035583737,0.00035832485,0.00010849564,0.00064209336,0.0002889451,0.00022314166,0.0935997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017328746,0.000031116324,0.0026140623,0.000093223476,0.00010472983,6.9642556e-7,0.000011182673,0.000043862594,8.996228e-10,0.000058643884,0.9967317,0.00029346434],"study_design_scores_gemma":[0.00023888049,0.000015779635,0.000094614334,0.0000019821478,0.00002699157,6.687761e-7,0.000020874451,0.0000036408435,1.4968413e-7,0.00008799491,0.9992066,0.00030179397],"about_ca_topic_score_codex":0.0042059775,"about_ca_topic_score_gemma":0.00007332658,"teacher_disagreement_score":0.09113277,"about_ca_system_score_codex":0.0004169102,"about_ca_system_score_gemma":0.00008845242,"threshold_uncertainty_score":0.999923},"labels":[],"label_agreement":null},{"id":"W7083690105","doi":"10.15468/dl.a8e9cj","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Identification (biology)","score_opus":0.018756428428372218,"score_gpt":0.19562125816595527,"score_spread":0.17686482973758305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083690105","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014128725,0.000124507,0.000037781494,0.0008042769,0.0006087299,0.00017912849,0.9964255,0.000030457704,0.001648301],"genre_scores_gemma":[0.000037526628,0.00045066775,0.0000019193244,0.0009657469,0.00000224798,0.00000496943,0.99853516,1.00007815e-8,0.0000017264819],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850875,0.000013980493,0.00081246195,0.00033910506,0.00006802085,0.00025768415],"domain_scores_gemma":[0.9985217,0.00001736101,0.0006691765,0.0005642594,0.000108651475,0.00011885375],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030459283,0.00026321836,0.0005691962,0.00024205321,0.00022874345,0.00020684407,0.0006046969,0.0003460696,0.002466933],"category_scores_gemma":[0.0001285146,0.00032220205,0.00035583737,0.00035832485,0.00010849564,0.00064209336,0.0002889451,0.00022314166,0.0935997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017328746,0.000031116324,0.0026140623,0.000093223476,0.00010472983,6.9642556e-7,0.000011182673,0.000043862594,8.996228e-10,0.000058643884,0.9967317,0.00029346434],"study_design_scores_gemma":[0.00023888049,0.000015779635,0.000094614334,0.0000019821478,0.00002699157,6.687761e-7,0.000020874451,0.0000036408435,1.4968413e-7,0.00008799491,0.9992066,0.00030179397],"about_ca_topic_score_codex":0.0042059775,"about_ca_topic_score_gemma":0.00007332658,"teacher_disagreement_score":0.09113277,"about_ca_system_score_codex":0.0004169102,"about_ca_system_score_gemma":0.00008845242,"threshold_uncertainty_score":0.999923},"labels":[],"label_agreement":null},{"id":"W7095123364","doi":"","title":"8Employment Location and Spatial Policies: Colombia and Korea","year":2015,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Equity (law); Developing country; Quarter (Canadian coin); Population; Developed country; Urbanization","score_opus":0.04727535458125276,"score_gpt":0.22413243898870838,"score_spread":0.17685708440745562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095123364","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":[0.9393115,0.001224073,0.018050482,0.007808776,0.00014012733,0.0001582602,0.000029436438,0.000026872149,0.033250496],"genre_scores_gemma":[0.99741405,0.000345071,0.00024739225,0.0005172056,0.0000653924,0.000009179352,0.000010472069,0.0000079882975,0.0013832281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99934554,0.0000046499895,0.00028139752,0.00023120877,0.000018181678,0.00011904206],"domain_scores_gemma":[0.999589,0.000016732583,0.00011090034,0.00011485913,0.000031029504,0.00013742498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022430674,0.00008239364,0.00021919134,0.000108967804,0.000048529117,0.00008331305,0.00005319771,0.00004707358,0.0000620189],"category_scores_gemma":[0.000033540808,0.00008667376,0.000025370335,0.00007831149,0.00005863833,0.00010232583,0.00005200826,0.000034110235,0.00008486358],"study_design_candidate":"theoretical_or_conceptual","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":[0.000017192102,0.000047823934,0.1625439,0.000010399524,0.000069101494,7.5962316e-7,0.0005493584,0.00013684784,0.0000044955264,0.82935417,0.0028892218,0.0043767435],"study_design_scores_gemma":[0.0022664424,0.00045790564,0.3395601,0.000013280251,0.00003229494,0.000016993807,0.0006178354,0.17755851,0.000080805796,0.32385957,0.15473762,0.00079865236],"about_ca_topic_score_codex":0.029404262,"about_ca_topic_score_gemma":0.002570435,"teacher_disagreement_score":0.5054946,"about_ca_system_score_codex":0.000051233004,"about_ca_system_score_gemma":0.000015273625,"threshold_uncertainty_score":0.977059},"labels":[],"label_agreement":null},{"id":"W7095155380","doi":"","title":"Theme D CITY AND INNOVATION: DIFFERENT SIZE, DIFFERENT STRATEGY.","year":2003,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Distribution (mathematics); Path (computing); Public sector; Base (topology)","score_opus":0.05451459103375373,"score_gpt":0.22076241134058266,"score_spread":0.16624782030682894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095155380","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":[0.9072322,0.00028564548,0.0027759674,0.0009838492,0.00009591623,0.00008889072,0.000021477888,0.000017465305,0.08849857],"genre_scores_gemma":[0.9940347,0.00030121655,0.00011621903,0.00039931547,0.000040329087,0.000013742036,0.000008805716,0.000011055625,0.0050746035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988823,0.000009486232,0.00054881664,0.00034828312,0.000024550842,0.00018654775],"domain_scores_gemma":[0.99943316,0.00005911805,0.0002001063,0.00021249006,0.000029300443,0.00006580713],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017075516,0.00016002885,0.0003810001,0.00019019628,0.00009991364,0.00011538413,0.00009456096,0.00006731547,0.0025316202],"category_scores_gemma":[0.00006470793,0.00013820989,0.00008209054,0.0002520644,0.00004561009,0.000104903665,0.00003070881,0.00008845929,0.000060809743],"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":[0.0000028602817,0.000056178353,0.11810795,0.000004415901,0.000052799343,4.3248474e-7,0.000022326842,0.0000126275745,0.000015506768,0.88124186,0.00018728417,0.0002957546],"study_design_scores_gemma":[0.0007638606,0.00009136252,0.2807692,0.000004787484,0.000011414409,0.0000041444937,0.00011154633,0.0032560343,0.0003785206,0.6964811,0.017652053,0.0004759569],"about_ca_topic_score_codex":0.00017364301,"about_ca_topic_score_gemma":0.00011831928,"teacher_disagreement_score":0.18476073,"about_ca_system_score_codex":0.000044215736,"about_ca_system_score_gemma":0.000007014629,"threshold_uncertainty_score":0.9983802},"labels":[],"label_agreement":null},{"id":"W7095328319","doi":"","title":"Work and Home Location: Possible Role of Social Networks Working Draft- 03/24/2008","year":2009,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Work (physics); Census; Set (abstract data type); Quarter (Canadian coin); Social network (sociolinguistics); Distribution (mathematics); Social relation","score_opus":0.017453586170531915,"score_gpt":0.19002234711054805,"score_spread":0.17256876094001614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095328319","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":[0.8296929,0.012708401,0.013894631,0.012268665,0.00040246747,0.00025008942,0.000013325331,0.00006689892,0.13070261],"genre_scores_gemma":[0.99727225,0.00034011403,0.00041654508,0.00037663264,0.00023925415,0.0000035445796,0.000011362593,0.000009935236,0.0013303809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989406,0.000006403203,0.0005306579,0.00028997826,0.000024786113,0.00020761698],"domain_scores_gemma":[0.9994327,0.00002603087,0.0002947485,0.00015171924,0.00003081343,0.00006397818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002121184,0.00012220722,0.00041136058,0.00016345037,0.00013110867,0.000079857215,0.00014277949,0.000109580455,0.00023978301],"category_scores_gemma":[0.000007992744,0.00013662559,0.00012146487,0.00042198828,0.00005491892,0.00012413664,0.000031760796,0.000093988216,0.00004346548],"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":[0.00003155147,0.00007240681,0.16039908,0.000003868478,0.000086503685,7.620097e-7,0.00031264842,0.003211118,0.0000028424026,0.8204014,0.0010474011,0.014430466],"study_design_scores_gemma":[0.00081920234,0.00012040859,0.6661835,0.00002546391,0.000030147845,0.0000027981116,0.00017721299,0.077056974,0.000023948898,0.21888392,0.0359849,0.0006915472],"about_ca_topic_score_codex":0.00014824395,"about_ca_topic_score_gemma":0.000053717624,"teacher_disagreement_score":0.60151744,"about_ca_system_score_codex":0.000036796908,"about_ca_system_score_gemma":0.0000121560015,"threshold_uncertainty_score":0.557143},"labels":[],"label_agreement":null},{"id":"W7095906047","doi":"","title":"The e...","year":2014,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Phenomenon; Perspective (graphical); Business cluster; Knowledge spillover; Cluster (spacecraft); Field (mathematics); Spillover effect; Restructuring","score_opus":0.019768385212986034,"score_gpt":0.17999547258157153,"score_spread":0.16022708736858549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095906047","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03107033,0.00040026574,0.032108974,0.018540112,0.0002640058,0.00004112991,0.0000032659627,0.000024393868,0.9175475],"genre_scores_gemma":[0.9898961,0.00013492396,0.00019714127,0.0006723304,0.00009294434,0.000005057701,0.0000011910344,0.00000483683,0.008995479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995463,0.0000036956803,0.00021467125,0.00012142895,0.0000078228895,0.000106094085],"domain_scores_gemma":[0.9996331,0.00006029944,0.000078092846,0.0001898666,0.0000073925057,0.000031281714],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003743543,0.000040883628,0.000102930215,0.000027734324,0.00015203534,0.00007273893,0.000150902,0.000018519338,0.0002475321],"category_scores_gemma":[0.000046370842,0.000029483135,0.0000816365,0.000053285108,0.00003108973,0.000039265306,0.000020805268,0.00003088417,0.001944865],"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":[7.4043993e-7,0.0000031550098,0.007365136,2.6733002e-7,0.000011759109,2.5155483e-8,0.0000055124397,0.000033958957,4.8115237e-7,0.9875339,0.0024083562,0.0026367037],"study_design_scores_gemma":[0.000044634657,0.0000056860986,0.0054831672,1.7892242e-7,5.4606915e-7,2.301803e-7,0.0000045060656,0.021543553,0.0000039946394,0.32498956,0.6478798,0.000044148685],"about_ca_topic_score_codex":0.0003354806,"about_ca_topic_score_gemma":0.00017455308,"teacher_disagreement_score":0.95882577,"about_ca_system_score_codex":0.000011678189,"about_ca_system_score_gemma":0.0000018340585,"threshold_uncertainty_score":0.9988322},"labels":[],"label_agreement":null},{"id":"W7095974609","doi":"","title":"Guy Michaels is a Research Associate with the Labour Markets Programme at the Centre for Economic","year":2006,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Highway system; Human capital; Endowment; Openness to experience; Commodity; Capital (architecture); Trade barrier","score_opus":0.04261442603052827,"score_gpt":0.24756514177733904,"score_spread":0.20495071574681079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095974609","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":[0.7453177,0.00087034854,0.00029621663,0.20102316,0.00012386523,0.001068654,0.00065951183,0.000028581071,0.050611995],"genre_scores_gemma":[0.828323,0.00013923617,0.00020766584,0.0011693967,0.00029974076,0.00017091837,0.000047227397,0.000037813705,0.16960499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982594,0.000040753228,0.00047996573,0.0005127879,0.000055647666,0.0006514429],"domain_scores_gemma":[0.9986748,0.00038810843,0.00031736464,0.00047829634,0.000075235876,0.000066177556],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002108502,0.00017469362,0.00035544336,0.0001194818,0.0006626123,0.0002979178,0.00048394004,0.000090753056,0.0014891769],"category_scores_gemma":[0.00002402832,0.00010610633,0.0002703612,0.00016817276,0.00019052373,0.000104835206,0.00013117527,0.00015700319,0.0009730763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009875193,0.00007420198,0.03412429,0.00001248342,0.00030806355,0.0000011465373,0.0002136256,0.00027840064,0.0000038823323,0.74793464,0.21584554,0.001105008],"study_design_scores_gemma":[0.00059698184,0.00004734269,0.015238521,0.0000032482722,0.000013432041,0.0000019047976,0.00020973294,0.007888427,0.000074119445,0.06165904,0.9140527,0.00021449408],"about_ca_topic_score_codex":0.0107789,"about_ca_topic_score_gemma":0.02665494,"teacher_disagreement_score":0.6982072,"about_ca_system_score_codex":0.00040963487,"about_ca_system_score_gemma":0.000047884412,"threshold_uncertainty_score":0.9998048},"labels":[],"label_agreement":null},{"id":"W7096032978","doi":"","title":"PRICE INDEX CONVERGENCE AMONG PROVINCES AND CITIES","year":2005,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit root; Convergence (economics); Price index; Index (typography); Panel data; Empirical research; Unit (ring theory)","score_opus":0.016182321888724833,"score_gpt":0.1853652970802177,"score_spread":0.16918297519149286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096032978","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":[0.89320236,0.00092202757,0.0037690543,0.0026729056,0.000072696974,0.000083725856,0.000014861761,0.000026224896,0.09923615],"genre_scores_gemma":[0.99015343,0.00062744826,0.00046540482,0.000420061,0.00010284215,0.000011131073,0.0000028524987,0.000007933785,0.008208882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991846,0.0000033996362,0.00035402575,0.0002799041,0.000018079758,0.00015995778],"domain_scores_gemma":[0.9995882,0.000024394018,0.00016373298,0.00013296533,0.000015692985,0.00007503605],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017946828,0.00009591873,0.0002363972,0.00012535899,0.000079549514,0.00008366713,0.00012135591,0.00005096251,0.0010732472],"category_scores_gemma":[0.000017841485,0.00009831876,0.00006208785,0.00008713789,0.00010638623,0.0003362745,0.000049791644,0.00005696743,0.00023261312],"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":[0.000003195793,0.000015478607,0.5528293,0.000006128653,0.00003610077,4.3534578e-7,0.00012012701,0.00019163275,0.0000013388964,0.4451304,0.0005381392,0.0011277021],"study_design_scores_gemma":[0.00042580772,0.000051393406,0.57770836,0.000007255953,0.0000075656994,0.0000036411452,0.00024141236,0.18896055,0.000074692834,0.058953054,0.17303567,0.0005305704],"about_ca_topic_score_codex":0.0022622903,"about_ca_topic_score_gemma":0.0013111348,"teacher_disagreement_score":0.38617733,"about_ca_system_score_codex":0.000038851158,"about_ca_system_score_gemma":0.000010503648,"threshold_uncertainty_score":0.9998399},"labels":[],"label_agreement":null},{"id":"W7096098238","doi":"","title":"About the Centre for Economic Analysis The Canadian Centre for Economic Analysis","year":2015,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic analysis; Prosperity; Policy analysis; Economic impact analysis; Term (time); Quantitative analysis (chemistry); Economic model; Economic risk","score_opus":0.03988900652926243,"score_gpt":0.22439787733931477,"score_spread":0.18450887081005235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096098238","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29700345,0.006196094,0.038647138,0.48672283,0.0039455127,0.006740894,0.022041827,0.00021246573,0.13848978],"genre_scores_gemma":[0.98069894,0.00016978498,0.0005878151,0.0021178962,0.0005048675,0.00013482697,0.0007733979,0.000046861504,0.014965625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99714607,0.000032109496,0.0011648108,0.00085900625,0.000039582595,0.0007583923],"domain_scores_gemma":[0.9973245,0.00033547604,0.00067488797,0.0009991653,0.00007959202,0.0005863478],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014444325,0.00034649667,0.001104294,0.00097572536,0.0007008296,0.00058743084,0.00096187275,0.00017926289,0.001445228],"category_scores_gemma":[0.00007557948,0.00026038213,0.0021424615,0.00048102826,0.00013921081,0.00021763015,0.00006890426,0.00012563304,0.00088024396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005023487,0.000028769055,0.116086304,0.0000067169613,0.014567788,4.6985582e-7,0.0007256234,0.18130785,8.832672e-8,0.6421335,0.044600524,0.0004921301],"study_design_scores_gemma":[0.00047534707,0.0000215138,0.0034855104,6.840019e-7,0.0017086322,3.4729598e-7,0.0006071079,0.5032424,0.0000027927629,0.019896826,0.4702286,0.0003302735],"about_ca_topic_score_codex":0.397822,"about_ca_topic_score_gemma":0.9307246,"teacher_disagreement_score":0.6836955,"about_ca_system_score_codex":0.0011994708,"about_ca_system_score_gemma":0.0004404807,"threshold_uncertainty_score":0.99998486},"labels":[],"label_agreement":null},{"id":"W7096183525","doi":"","title":"SUMMARY","year":2014,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Key (lock); Economic analysis; Economic indicator; Economic data","score_opus":0.02258779659243024,"score_gpt":0.1859533989677899,"score_spread":0.16336560237535966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096183525","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034970194,0.00020391728,0.03915671,0.003910538,0.00016044859,0.00003174782,0.000008079771,0.000032501433,0.92152584],"genre_scores_gemma":[0.98442054,0.000072793904,0.00093252875,0.001257385,0.000117303825,0.000004073683,0.000007729014,0.000008041342,0.013179626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943006,0.0000033184263,0.00025578323,0.00018851523,0.000008543001,0.00011378959],"domain_scores_gemma":[0.9996599,0.000021411206,0.000082412254,0.00017762155,0.000007419285,0.00005126818],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002338021,0.000057182227,0.00018579447,0.00008942351,0.000041977444,0.00003415408,0.00011586673,0.00003201893,0.0012214339],"category_scores_gemma":[0.000025803261,0.000060215276,0.00010302636,0.00007022806,0.000018698818,0.00007520284,0.000024089555,0.00003453051,0.00265325],"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":[0.0000010121539,0.000010568453,0.016982937,0.0000012785483,0.00001526329,1.1761639e-7,0.000007595928,0.000062681465,0.0000021418498,0.97744864,0.004266336,0.0012014038],"study_design_scores_gemma":[0.00012705567,0.000017747676,0.007773271,9.726773e-7,0.0000014756132,5.4114844e-7,0.0000041460034,0.03280336,0.000014538324,0.32173675,0.6373928,0.0001272832],"about_ca_topic_score_codex":0.0005906941,"about_ca_topic_score_gemma":0.0000817311,"teacher_disagreement_score":0.9494503,"about_ca_system_score_codex":0.000016540998,"about_ca_system_score_gemma":0.000002274916,"threshold_uncertainty_score":0.9996916},"labels":[],"label_agreement":null},{"id":"W7096627575","doi":"","title":"REAL ESTATE ECONOMICS The Other Side of Eight Mile: Suburban Population and Housing Supply","year":2005,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Population; Central city; Residential real estate; Mile; Quarter (Canadian coin); Estate; Linkage (software)","score_opus":0.019459822511649676,"score_gpt":0.19833976237563378,"score_spread":0.1788799398639841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096627575","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":[0.96520954,0.0001716395,0.0002497327,0.0036588928,0.000054853117,0.00009074538,0.00009087391,0.000008736267,0.030464977],"genre_scores_gemma":[0.99448466,0.0033590351,0.0010033891,0.00025334774,0.00012850013,0.000004413093,0.000024328207,0.000019187504,0.00072311657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99897754,0.000009157348,0.00058807916,0.00025461442,0.000014115179,0.00015646758],"domain_scores_gemma":[0.9993197,0.000051735606,0.00033724395,0.00022867696,0.000014957555,0.000047690577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030199223,0.00011411341,0.00031231504,0.00012742412,0.000090501555,0.00006106523,0.00012410304,0.000056725617,0.00026968602],"category_scores_gemma":[0.00000965232,0.000098808414,0.0001085771,0.00007788624,0.00006227665,0.00020588814,0.000036861926,0.00005656225,0.00004192614],"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":[0.000029600551,0.000056952726,0.38275203,0.000014276666,0.00016295587,3.9980515e-7,0.00050633645,0.00856462,0.000030998275,0.5726052,0.00034810946,0.034928497],"study_design_scores_gemma":[0.0008988437,0.000072142946,0.4750073,0.000010501028,0.00004063341,0.0000055726528,0.00018831597,0.28490266,0.00031318454,0.050386302,0.18757728,0.00059726334],"about_ca_topic_score_codex":0.028565226,"about_ca_topic_score_gemma":0.0104261115,"teacher_disagreement_score":0.5222189,"about_ca_system_score_codex":0.00006179273,"about_ca_system_score_gemma":0.000008739029,"threshold_uncertainty_score":0.97790366},"labels":[],"label_agreement":null},{"id":"W7096683019","doi":"","title":"Regional Imbalance under Federal Structure: A Comparison of","year":2014,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Revenue; Capital (architecture); Democracy; Population; Property rights; Shift-share analysis; Public good","score_opus":0.037978693736122705,"score_gpt":0.23821886006418336,"score_spread":0.20024016632806066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096683019","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":[0.8825472,0.00053646194,0.063619524,0.005031766,0.0002272031,0.00008839638,0.000049414823,0.000025735699,0.047874294],"genre_scores_gemma":[0.9968102,0.00002582627,0.0014789184,0.00065674604,0.000093111616,0.0000021449653,0.00002144294,0.000010388188,0.00090123125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896246,0.000008418186,0.00057832745,0.00026567164,0.000029872732,0.00015526982],"domain_scores_gemma":[0.9992896,0.000043241165,0.00035412397,0.00022680909,0.000027539405,0.0000587333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014229663,0.000105415864,0.00047684804,0.00011198988,0.000061852894,0.00003386245,0.00018199667,0.00006825386,0.00072363956],"category_scores_gemma":[0.000018030501,0.00010756205,0.00015602066,0.00010934578,0.00006343431,0.000081701386,0.000031190404,0.00007415927,0.00009974838],"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":[0.000007803708,0.000033975553,0.1343341,0.000005857447,0.000051614763,4.2129564e-8,0.00003897045,0.0021508262,0.000042062155,0.8613377,0.0017103307,0.00028668018],"study_design_scores_gemma":[0.0006737878,0.000106432744,0.16186906,0.000007012198,0.00000791452,0.0000022882286,0.00007037312,0.1822331,0.00029205662,0.60049325,0.05386837,0.00037635464],"about_ca_topic_score_codex":0.00084178237,"about_ca_topic_score_gemma":0.00045619352,"teacher_disagreement_score":0.2608445,"about_ca_system_score_codex":0.000031422118,"about_ca_system_score_gemma":0.000008917541,"threshold_uncertainty_score":0.79233456},"labels":[],"label_agreement":null},{"id":"W7096853252","doi":"","title":"Halifax, Nova Scotia","year":2008,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Productivity; Investment (military); Work (physics); Rural area","score_opus":0.05505423621907079,"score_gpt":0.20764057236473735,"score_spread":0.15258633614566655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096853252","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":[0.5326264,0.00053333736,0.008751744,0.0035897736,0.00030581187,0.000067363435,0.00004093973,0.00004227878,0.45404238],"genre_scores_gemma":[0.9871539,0.00019077297,0.0011507907,0.00090184243,0.00011276304,0.0000015817487,0.000014868663,0.000012615583,0.010460902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911326,0.000002772905,0.00040773643,0.00028028502,0.000017129338,0.00017881319],"domain_scores_gemma":[0.9995207,0.000015627964,0.00013153575,0.00023629528,0.00001738092,0.00007842064],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012721292,0.000095902025,0.0002868683,0.00015305931,0.00007557453,0.000023857834,0.00016294041,0.000052194668,0.0052370243],"category_scores_gemma":[0.000019572204,0.000103147606,0.00017273401,0.00015474414,0.000059820795,0.00013047752,0.000033394652,0.000059185295,0.01052183],"study_design_candidate":"theoretical_or_conceptual","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":[0.000003756231,0.000047588437,0.1797185,0.0000023780958,0.0000641705,0.000008167851,0.00006172137,0.0001725791,0.000006238216,0.8042442,0.01551591,0.00015477883],"study_design_scores_gemma":[0.0012144255,0.00011543821,0.24020094,0.0000067727124,0.000012941353,0.00008907369,0.000051661136,0.025888937,0.0002635214,0.15996182,0.5710587,0.0011357635],"about_ca_topic_score_codex":0.0092181945,"about_ca_topic_score_gemma":0.0009797395,"teacher_disagreement_score":0.6442824,"about_ca_system_score_codex":0.000036931066,"about_ca_system_score_gemma":0.000011864112,"threshold_uncertainty_score":0.9973795},"labels":[],"label_agreement":null},{"id":"W7096867780","doi":"","title":"Counts: A Simple Linear Intercity Model for Quebec, The Logistics and Transportation","year":2014,"lang":"en","type":"article","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Simple (philosophy); Work (physics); Mathematical model; Linear programming","score_opus":0.04762717722105504,"score_gpt":0.22900853521806686,"score_spread":0.18138135799701183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096867780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014714921,0.000057155994,0.97845185,0.0016967333,0.000038640756,0.00007003405,0.000106131476,0.000007457405,0.00485709],"genre_scores_gemma":[0.9953817,0.00011313799,0.0012821709,0.00055905315,0.00005134647,0.000009498264,0.000034494056,0.0000052352298,0.0025633608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996496,0.0000015287026,0.00017367596,0.00010929806,0.000006792812,0.00005913009],"domain_scores_gemma":[0.9997817,0.00003986252,0.000064494125,0.000080311125,0.000015199109,0.000018384939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014602156,0.00004220309,0.00011130626,0.000024277386,0.000048820235,0.000023700979,0.000054887216,0.00002766464,0.000069572954],"category_scores_gemma":[0.000024183395,0.000033863904,0.000049961716,0.000021447213,0.000027696824,0.000036319823,0.000003423777,0.000024197732,0.00003339034],"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":[0.0000042366446,0.000008408201,0.0010850612,0.0000053037047,0.000015230203,1.5159216e-8,0.00007561691,0.0047756545,3.544708e-7,0.9905796,0.0022347167,0.0012157817],"study_design_scores_gemma":[0.00006991198,0.000007894374,0.0005112958,4.4571158e-7,0.0000041428802,3.9979884e-8,0.000008104651,0.7848762,7.6717976e-7,0.14456016,0.06991593,0.000045108955],"about_ca_topic_score_codex":0.0016530725,"about_ca_topic_score_gemma":0.005832292,"teacher_disagreement_score":0.98066676,"about_ca_system_score_codex":0.000012073169,"about_ca_system_score_gemma":0.000004459216,"threshold_uncertainty_score":0.3254556},"labels":[],"label_agreement":null},{"id":"W7096949966","doi":"","title":"Population and Migration Trends in the District Differ from Nation’s","year":2013,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Memphis; Productivity; Population; Population growth; Population density; Quarter (Canadian coin); Census; Metropolitan area","score_opus":0.02760777524009032,"score_gpt":0.19429367848559093,"score_spread":0.16668590324550062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096949966","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":[0.9817843,0.00014446497,0.00080214033,0.01129779,0.000039335984,0.000055424403,0.000026309894,0.0000053395033,0.005844939],"genre_scores_gemma":[0.9985032,0.00009189063,0.00011509631,0.0003673199,0.000052430085,0.000024508528,0.00021097317,0.000003747085,0.00063080183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945146,0.000008941059,0.0002817278,0.00016908161,0.000017135699,0.00007166915],"domain_scores_gemma":[0.99972606,0.000039776827,0.00009894163,0.00010906878,0.000007450226,0.00001870203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053243,0.000059911203,0.00013676165,0.00016965474,0.000045408215,0.00012196798,0.00007245681,0.000037202288,0.0007893774],"category_scores_gemma":[0.000013005597,0.000046247034,0.000045026067,0.00015799432,0.000010237394,0.00021392542,0.000010803853,0.00004018763,0.00009881585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014734162,0.000030936353,0.7756546,7.530462e-7,0.000015580812,1.4891934e-7,0.00024157946,0.000065659326,0.0000037000843,0.2092956,0.0016044554,0.013085496],"study_design_scores_gemma":[0.00010597587,0.0000062754584,0.88031644,5.821823e-7,0.0000018051763,1.5283554e-7,0.000038151633,0.050606064,8.6317414e-7,0.06702747,0.0018350143,0.00006122544],"about_ca_topic_score_codex":0.073740885,"about_ca_topic_score_gemma":0.009201879,"teacher_disagreement_score":0.14226814,"about_ca_system_score_codex":0.0000328175,"about_ca_system_score_gemma":8.541391e-7,"threshold_uncertainty_score":0.93242717},"labels":[],"label_agreement":null},{"id":"W7096991964","doi":"","title":"Supported by Fednor DRAFT Cluster Theory as Constructive Confusion: With applications to Sudbury","year":2002,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Constructive; Newspaper; Cluster (spacecraft); Gospel; Field (mathematics); Table (database)","score_opus":0.014764251516094926,"score_gpt":0.2002273639940987,"score_spread":0.1854631124780038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096991964","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2103738,0.00077276176,0.17888221,0.01806184,0.00013114334,0.001218977,0.0004981935,0.00011102695,0.5899501],"genre_scores_gemma":[0.95602775,0.00013743772,0.0014514555,0.0047771763,0.00007232055,0.00016373963,0.000056611105,0.000027888567,0.03728563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986976,0.000012547355,0.00047866665,0.00051889726,0.000036888963,0.00025539353],"domain_scores_gemma":[0.99908787,0.00007701015,0.00020577683,0.00036687384,0.000059586033,0.00020290665],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020220967,0.00017812618,0.00039348612,0.00019298453,0.0001381352,0.00010165738,0.00022508885,0.000085522835,0.012862709],"category_scores_gemma":[0.00001635443,0.00016690658,0.000114138646,0.0002799127,0.00012062921,0.0001471772,0.000057310783,0.00009913765,0.0040703346],"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":[0.000039733288,0.00011270021,0.005982021,0.000004667584,0.00019653837,0.0000021058452,0.0002620291,0.00009854299,0.000028435574,0.97406554,0.016329253,0.002878446],"study_design_scores_gemma":[0.0011494205,0.00022043573,0.0012286144,0.000007270796,0.000036981655,0.0000306446,0.00043967037,0.007551439,0.00027026783,0.0922645,0.896044,0.00075672095],"about_ca_topic_score_codex":0.0006813397,"about_ca_topic_score_gemma":0.00014956799,"teacher_disagreement_score":0.881801,"about_ca_system_score_codex":0.0000670436,"about_ca_system_score_gemma":0.000012950844,"threshold_uncertainty_score":0.9967051},"labels":[],"label_agreement":null},{"id":"W7097048883","doi":"","title":"Abstract Submitted to: International Journal of Urban and Regional Planning","year":2005,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Relocation; Typology; Globalization; Work (physics); Regional planning; Regional development","score_opus":0.036846431946053665,"score_gpt":0.2389853588366981,"score_spread":0.20213892689064444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097048883","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":[0.96253425,0.0008438743,0.0022294924,0.015877731,0.00023902988,0.000036806083,0.000020498612,0.0000066131684,0.018211694],"genre_scores_gemma":[0.99529344,0.000107561165,0.0022955723,0.0012791908,0.00050600653,0.0000010356979,0.000005238144,0.0000070870205,0.0005048459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917555,0.0000021845328,0.0005374507,0.00014385211,0.00003835933,0.00010258291],"domain_scores_gemma":[0.99942666,0.000030564428,0.00030118032,0.000074933654,0.00006589412,0.00010074163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002846657,0.00007232096,0.00021981052,0.0003047532,0.000030278838,0.000075369804,0.00019408249,0.000039615843,0.00046779262],"category_scores_gemma":[0.000037570044,0.000073976844,0.000097072014,0.00006444275,0.000022295979,0.00020432033,0.00003405988,0.00007611396,0.000089332156],"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":[0.00015547354,0.00019729105,0.38944325,0.000007531991,0.0007038009,0.0000235652,0.0014464309,0.009058489,0.00015294329,0.5179073,0.06729848,0.013605391],"study_design_scores_gemma":[0.000773561,0.00006409973,0.3530799,0.000020365494,0.0000075338944,0.000023699871,0.00012099798,0.008501446,0.00006282933,0.011840428,0.6252386,0.00026656297],"about_ca_topic_score_codex":0.00013113483,"about_ca_topic_score_gemma":0.000033604683,"teacher_disagreement_score":0.5579401,"about_ca_system_score_codex":0.000054124223,"about_ca_system_score_gemma":0.000013364088,"threshold_uncertainty_score":0.5122001},"labels":[],"label_agreement":null},{"id":"W7097073594","doi":"","title":"Geography Working Paper Series No. 2000-1 Census Metropolitan Area and Census Agglomeration Influenced Zones (MIZ) with Census Data","year":2000,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Series (stratigraphy); Work (physics); Product (mathematics); Economies of agglomeration; Variety (cybernetics)","score_opus":0.031643067606515356,"score_gpt":0.20962338161398864,"score_spread":0.17798031400747327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097073594","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":[0.8791722,0.00493072,0.00029803108,0.00415178,0.00025926164,0.00039035728,0.0021484673,0.00012351312,0.10852569],"genre_scores_gemma":[0.98356044,0.0054203323,0.005968555,0.0007830343,0.00023267345,0.000021968443,0.001088997,0.00004845186,0.002875552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780846,0.000021685222,0.0007535312,0.0008876458,0.00007032889,0.00045832788],"domain_scores_gemma":[0.9985638,0.00005793807,0.0002907902,0.0008264005,0.000076061544,0.00018500349],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033272823,0.00032099243,0.00062896276,0.0003252039,0.00032551592,0.00032861694,0.00037365162,0.00012744339,0.0010169534],"category_scores_gemma":[0.000038007307,0.00029436356,0.000111672554,0.0004605616,0.00021497067,0.0007805843,0.00010382699,0.00015532176,0.00012805357],"study_design_candidate":"not_applicable","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":[0.0009949197,0.0004693436,0.4321148,0.000089383226,0.0018841533,0.0000600685,0.00032071865,0.0028260753,0.00004449879,0.5239277,0.007463531,0.029804807],"study_design_scores_gemma":[0.0018360342,0.00032586887,0.13679104,0.00005837292,0.00011825095,0.000042955882,0.00040811818,0.019318018,0.000015970178,0.019874554,0.81970996,0.0015008517],"about_ca_topic_score_codex":0.0076639564,"about_ca_topic_score_gemma":0.0024738922,"teacher_disagreement_score":0.81224644,"about_ca_system_score_codex":0.00011691181,"about_ca_system_score_gemma":0.000020954409,"threshold_uncertainty_score":0.9999508},"labels":[],"label_agreement":null},{"id":"W7097161491","doi":"","title":"Speed","year":2012,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare; Key (lock); Travel time; Index (typography); Supply side; Econometric model; Public transport; Supply and demand","score_opus":0.04756562068017887,"score_gpt":0.20962391820889903,"score_spread":0.16205829752872017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097161491","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28604957,0.0010192634,0.004118991,0.0021674929,0.00033182625,0.000042494004,0.000012244151,0.000028383993,0.70622975],"genre_scores_gemma":[0.990182,0.00006243474,0.0005877418,0.00060342,0.00021372587,0.0000014701199,0.000005071009,0.000007296971,0.008336867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999455,0.0000018511614,0.00023755786,0.00010935314,0.0000085053125,0.00018777583],"domain_scores_gemma":[0.99967676,0.00001049681,0.00008007865,0.00013705133,0.0000056309186,0.00008996743],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021182712,0.00005582089,0.00016232526,0.00008451675,0.00003580474,0.000022269303,0.000082471444,0.0000309141,0.0036972822],"category_scores_gemma":[0.00001376226,0.000057917478,0.00010092601,0.0000796043,0.000015116934,0.00018320099,0.000021917956,0.00003269163,0.006536854],"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":[8.736837e-7,0.000025298114,0.14511712,8.184635e-7,0.000021291391,8.253467e-8,0.000032766508,0.000013245828,0.000004331842,0.85262895,0.001949375,0.00020583409],"study_design_scores_gemma":[0.00026836997,0.000017512491,0.11946485,0.0000011547572,0.000005574611,0.0000035864832,0.00004537618,0.006394247,0.00010674967,0.106168784,0.76718515,0.0003386272],"about_ca_topic_score_codex":0.00046226493,"about_ca_topic_score_gemma":0.000013628026,"teacher_disagreement_score":0.7652358,"about_ca_system_score_codex":0.000026054906,"about_ca_system_score_gemma":0.0000019908266,"threshold_uncertainty_score":0.9972135},"labels":[],"label_agreement":null},{"id":"W7097162634","doi":"","title":"ECONOMIC DEVELOPMENT QUARTERLY / November 2001Reese, Rosenfeld / QUESTIONING CONVENTIONAL WISDOM FORUM Yes, But...: Questioning the Conventional Wisdom About Economic Development","year":2016,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Local economic development; Local Development; Policy development; Economic statistics; Public policy; Local government","score_opus":0.018209960188203946,"score_gpt":0.21802868672586853,"score_spread":0.19981872653766458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097162634","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":[0.8113666,0.0019468823,0.13304831,0.018224929,0.0036856283,0.001239312,0.0004346151,0.0002574878,0.02979622],"genre_scores_gemma":[0.9699147,0.00022834519,0.0058051185,0.000713337,0.00053479976,0.0003476712,0.0002454066,0.000085092855,0.022125538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99543744,0.000054861597,0.002376751,0.0011612164,0.00012475804,0.00084495696],"domain_scores_gemma":[0.9976266,0.00026751013,0.0011572025,0.0005631427,0.00009785379,0.00028768738],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013666428,0.00055520196,0.00084009755,0.00041557508,0.0008775916,0.0003960585,0.00070058904,0.000244582,0.0070323804],"category_scores_gemma":[0.000039017552,0.0004593292,0.00047185805,0.000111292706,0.0003382504,0.000858506,0.00016543345,0.00023704376,0.008327685],"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":[0.000105691666,0.00014175725,0.0877053,0.00001831504,0.00078371656,0.0000040580635,0.00025409664,0.0013322836,0.000030473335,0.89446753,0.007163609,0.007993194],"study_design_scores_gemma":[0.007339785,0.00017682418,0.12676702,0.00025866518,0.00005908641,0.00006652805,0.00051007257,0.011865486,0.0004947322,0.06184078,0.7883127,0.0023083605],"about_ca_topic_score_codex":0.0019925379,"about_ca_topic_score_gemma":0.008171969,"teacher_disagreement_score":0.8326267,"about_ca_system_score_codex":0.0017884731,"about_ca_system_score_gemma":0.00067786867,"threshold_uncertainty_score":0.99978584},"labels":[],"label_agreement":null},{"id":"W7097193746","doi":"","title":"Geography Working Paper Series Defining and Measuring Metropolitan Areas:","year":2008,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Official statistics; Metropolitan area; Census; Subject (documents); Permission; Period (music)","score_opus":0.038941028520992835,"score_gpt":0.18399318323370822,"score_spread":0.14505215471271538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097193746","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":[0.7978106,0.007606824,0.0010660521,0.0015051324,0.00012797063,0.00006569963,0.000013839874,0.00005563569,0.19174825],"genre_scores_gemma":[0.99385685,0.0027192384,0.0022460595,0.00039544786,0.00006571098,0.0000097426455,0.0000062848903,0.000018304596,0.00068235263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988995,0.0000070833803,0.00044001488,0.00036942473,0.000028548378,0.0002554186],"domain_scores_gemma":[0.999482,0.000033995795,0.00016146756,0.00019713963,0.000018616389,0.0001067763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022828723,0.0001443452,0.00038005607,0.00031449294,0.00029145562,0.00007411375,0.000114755,0.000061028873,0.0003063133],"category_scores_gemma":[0.00003485654,0.00015460316,0.00016834291,0.00020678352,0.00011385489,0.00032233782,0.00006189751,0.000088381974,0.00010790963],"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":[0.0000048838974,0.000010239036,0.4925539,0.000003092751,0.00008141573,0.0000035675805,0.0000622989,0.000022619319,0.000002752885,0.5068757,0.000080199934,0.00029933662],"study_design_scores_gemma":[0.0006471166,0.00008496478,0.72485715,0.000026325788,0.000025650565,0.000092877475,0.0006365432,0.002062729,0.000056525325,0.1782261,0.09239179,0.00089222845],"about_ca_topic_score_codex":0.0025666787,"about_ca_topic_score_gemma":0.00046849734,"teacher_disagreement_score":0.3286496,"about_ca_system_score_codex":0.000061048784,"about_ca_system_score_gemma":0.000007981581,"threshold_uncertainty_score":0.63045335},"labels":[],"label_agreement":null},{"id":"W7097275555","doi":"","title":"Internal migration, asymmetric shocks, and interprovincial economic adjustments","year":2006,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human capital; Unemployment; Differential (mechanical device); Internal migration; Net migration rate; Conditional convergence; Convergence (economics); Business cycle","score_opus":0.009289482238723702,"score_gpt":0.18881119301115432,"score_spread":0.17952171077243062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097275555","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":[0.8587788,0.0010526367,0.01003857,0.0017800131,0.0003819264,0.00012824095,0.00009747387,0.00003495318,0.12770744],"genre_scores_gemma":[0.9937726,0.00020885217,0.00056802295,0.00028874454,0.0002970659,0.000012978572,0.000039255567,0.000016237902,0.0047962214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99869776,0.0000062998483,0.000657063,0.0004181346,0.000019594801,0.00020113187],"domain_scores_gemma":[0.9994615,0.00002911114,0.00025396136,0.00016901742,0.000014554003,0.000071869625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019150962,0.00015354693,0.0003388019,0.00042005247,0.00007990119,0.00015100853,0.0001617157,0.00007245512,0.000600932],"category_scores_gemma":[0.000014249824,0.00016702368,0.00013599833,0.000103872946,0.00004923565,0.00025505177,0.00007566498,0.00007299811,0.00069055817],"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":[0.000014517129,0.000048803326,0.3726917,0.000004615364,0.00006587838,0.0000017144871,0.000022110935,0.00025024457,0.0000048703223,0.6195872,0.00511207,0.0021963236],"study_design_scores_gemma":[0.0013460215,0.00016512806,0.513014,0.000009885111,0.000029165723,0.000018353698,0.000055656314,0.14727287,0.00015595862,0.21880685,0.11832584,0.0008002879],"about_ca_topic_score_codex":0.035091046,"about_ca_topic_score_gemma":0.008717085,"teacher_disagreement_score":0.40078032,"about_ca_system_score_codex":0.00018342365,"about_ca_system_score_gemma":0.000017455126,"threshold_uncertainty_score":0.97133434},"labels":[],"label_agreement":null},{"id":"W7097444469","doi":"","title":"THE SOCIAL COSTS OF INDUSTRIAL GROWTH IN THE SUB- ARCTIC REGIONS OF “CANADA”: A COMPARATIVE ANALYSIS OF ATTAWAPISKAT FIRST NATION AND THE","year":2015,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commons; Arctic; First nation; The arctic; Sustainability; Legislation","score_opus":0.11190184756490938,"score_gpt":0.2425847299755568,"score_spread":0.1306828824106474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097444469","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":[0.97343105,0.0003831094,0.00021286524,0.018444141,0.000056480054,0.00022069548,0.00007898888,0.0000010640805,0.0071716076],"genre_scores_gemma":[0.9996449,0.00018088109,0.000006434905,0.000078895246,0.000028175102,0.000012293527,0.000009778742,0.0000023585062,0.00003627794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99892896,0.000078111254,0.000684846,0.00013280766,0.000073822936,0.00010147213],"domain_scores_gemma":[0.99826646,0.00073333725,0.0007014799,0.00015058051,0.00012389493,0.000024237344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014358759,0.00007692436,0.00053283677,0.00018535007,0.00012911484,0.000022655988,0.0002514954,0.000047175432,0.0000085207275],"category_scores_gemma":[0.000219836,0.00004449348,0.0001618346,0.0007971486,0.00032733122,0.0000558873,0.000036233454,0.00009103698,4.1655454e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009301396,0.000034045624,0.07793762,0.000002788897,0.0006108936,1.060365e-7,0.0022449107,0.000819136,2.645027e-7,0.9171113,0.0011047215,0.000041216383],"study_design_scores_gemma":[0.009834481,0.00024739257,0.428043,0.000041707324,0.0012028714,0.0000023744226,0.029221365,0.29201305,0.00013549952,0.23310147,0.005525917,0.0006308779],"about_ca_topic_score_codex":0.4087965,"about_ca_topic_score_gemma":0.7370217,"teacher_disagreement_score":0.6840098,"about_ca_system_score_codex":0.00010193663,"about_ca_system_score_gemma":0.000095030075,"threshold_uncertainty_score":0.5951404},"labels":[],"label_agreement":null},{"id":"W7097682873","doi":"","title":"Insights on the Canadian Economy Interprovincial Differences in GDP per Capita,","year":2005,"lang":"en","type":"article","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Production (economics); Government (linguistics); Real gross domestic product","score_opus":0.02532537572664246,"score_gpt":0.1794845006169826,"score_spread":0.15415912489034014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097682873","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":[0.65949017,0.00015225081,0.000050435323,0.02372914,0.00008954675,0.00010499612,0.000020017771,0.000006086638,0.31635734],"genre_scores_gemma":[0.99188364,0.0000439672,0.000045933397,0.004617558,0.00019368032,0.000029904753,0.0000058250794,0.000010215114,0.0031692735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893904,0.000011665317,0.00045813568,0.00032905594,0.0000170991,0.00024498522],"domain_scores_gemma":[0.9994442,0.00006134029,0.00011840751,0.00023920507,0.00001397698,0.00012288938],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017122798,0.00013882482,0.0003020369,0.00040011233,0.000159815,0.00016040268,0.00032027866,0.00008314169,0.0039138277],"category_scores_gemma":[0.000017829629,0.00010725552,0.00012580768,0.00006998545,0.00006203598,0.00016136302,0.000028387742,0.00016111045,0.004620268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040244263,0.000027536382,0.0313792,9.626128e-7,0.000026358386,0.0000010156141,0.00036267377,0.00012773818,3.282957e-7,0.96637267,0.0011069843,0.00059048296],"study_design_scores_gemma":[0.0005110301,0.00010254678,0.15623772,0.000009808501,0.0000060894886,0.0000014960756,0.00031975732,0.080494836,0.00002779791,0.23645665,0.52513754,0.00069473824],"about_ca_topic_score_codex":0.45359057,"about_ca_topic_score_gemma":0.96092623,"teacher_disagreement_score":0.72991604,"about_ca_system_score_codex":0.00042846624,"about_ca_system_score_gemma":0.00008579397,"threshold_uncertainty_score":0.9969967},"labels":[],"label_agreement":null},{"id":"W7097757468","doi":"","title":"Welcoming Remarks � � Thomas Mesenbourg, Jr. Deputy Director, U.S. Census Bureau","year":2010,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Workforce; Workforce development; Work (physics)","score_opus":0.026891518389957864,"score_gpt":0.23174148236668873,"score_spread":0.20484996397673086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097757468","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34976792,0.0007569376,0.0024705243,0.011004992,0.0018852351,0.00021453682,0.00011193483,0.0001381417,0.63364977],"genre_scores_gemma":[0.9831215,0.0002550676,0.0044482215,0.00049535354,0.00044311362,0.000015412168,0.000065720924,0.00003956548,0.011116043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981943,0.000011410196,0.0007390075,0.00059996935,0.00004358007,0.00041175488],"domain_scores_gemma":[0.99873406,0.000099915196,0.00033331517,0.00057688873,0.000044636592,0.00021117806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000616123,0.000234201,0.0005891634,0.0002653808,0.00020418309,0.00016391878,0.00037336358,0.00019891043,0.001749734],"category_scores_gemma":[0.0001449688,0.00023931536,0.00036956198,0.0002330284,0.00008349842,0.00019915107,0.00010795238,0.0003394689,0.00073712796],"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":[0.0000130409935,0.000078093726,0.036220934,0.000007960966,0.00013133277,0.000008419118,0.00004525799,0.00004643448,0.00026476153,0.9540066,0.007006018,0.0021711572],"study_design_scores_gemma":[0.0005540497,0.000030163288,0.025294336,0.000005869085,0.000019683643,0.000014584596,0.00002702083,0.019848786,0.00027047543,0.14850092,0.80478066,0.0006534477],"about_ca_topic_score_codex":0.0058899308,"about_ca_topic_score_gemma":0.0028824324,"teacher_disagreement_score":0.8055057,"about_ca_system_score_codex":0.000055982666,"about_ca_system_score_gemma":0.000016130323,"threshold_uncertainty_score":0.9991628},"labels":[],"label_agreement":null},{"id":"W7097860193","doi":"","title":"Analytical Paper Trends and Conditions in Census Metropolitan Areas Low-income in Census Metropolitan Areas, 1980-2000","year":2013,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Product (mathematics); Population statistics; American Community Survey","score_opus":0.018918356363523493,"score_gpt":0.23600699774685338,"score_spread":0.2170886413833299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097860193","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":[0.8512976,0.00092059973,0.000045837744,0.008441292,0.00012659679,0.00018241162,0.00066878,0.000032525542,0.13828433],"genre_scores_gemma":[0.9950881,0.0003631085,0.00026189984,0.00056411023,0.00009752786,0.000057801826,0.00021637035,0.000037076323,0.003313995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970517,0.000043467786,0.0013254652,0.0007973207,0.00007059019,0.00071146485],"domain_scores_gemma":[0.9986741,0.00016141645,0.00025474504,0.00048291212,0.000052363313,0.00037444883],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037707243,0.00034797745,0.0010226534,0.0019042991,0.00010739767,0.00018288667,0.0002736101,0.00021021786,0.0041148835],"category_scores_gemma":[0.00010897029,0.00035974928,0.00028538125,0.0011200379,0.00023553465,0.00044946274,0.00010213998,0.00029028705,0.00034513092],"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":[0.000010442977,0.0001547144,0.32281038,0.000010612924,0.000092820635,0.000012455433,0.000029820243,0.000053094016,0.000001757722,0.67572314,0.00076782715,0.0003329043],"study_design_scores_gemma":[0.0012770765,0.00007971574,0.84832364,0.000020888308,0.000029588487,0.00000768783,0.0008164664,0.033463463,0.0000049923324,0.10917365,0.00617043,0.0006324114],"about_ca_topic_score_codex":0.07076088,"about_ca_topic_score_gemma":0.017477404,"teacher_disagreement_score":0.5665495,"about_ca_system_score_codex":0.0018963856,"about_ca_system_score_gemma":0.000034382098,"threshold_uncertainty_score":0.99988544},"labels":[],"label_agreement":null},{"id":"W7098213852","doi":"","title":"Do Taxes Matter for Firm Location? Evidence from Canadian Provinces. IAPR Technical Paper Series","year":2004,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Government (linguistics); Time series","score_opus":0.02364705892998784,"score_gpt":0.21408948880592113,"score_spread":0.1904424298759333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098213852","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":[0.5658861,0.009405795,0.059357356,0.28916627,0.0010361202,0.0022435708,0.0027366197,0.00015727656,0.070010886],"genre_scores_gemma":[0.98954886,0.0002707029,0.005804517,0.0018577295,0.00014944056,0.00012970895,0.000047194215,0.000019956504,0.0021718824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987279,0.0000033112137,0.0005023563,0.00047234175,0.000024683908,0.0002694013],"domain_scores_gemma":[0.99922484,0.000053240637,0.00016197085,0.00034213968,0.00005520488,0.00016258571],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019616928,0.00014383555,0.00031764002,0.00016365883,0.00015267146,0.00017797103,0.00028960218,0.000113593414,0.0020116589],"category_scores_gemma":[0.000078046585,0.00014688188,0.00014815314,0.0001523414,0.00007095279,0.0005747388,0.00003247102,0.00007172242,0.0011759083],"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":[0.000035454515,0.000070252914,0.24046929,0.000034219087,0.00016007069,0.000002686766,0.00020059873,0.0034778698,0.000060894108,0.7397166,0.01516348,0.00060857175],"study_design_scores_gemma":[0.000547468,0.00009289366,0.32606128,0.00006990975,0.000028508719,0.0000046886917,0.00009367887,0.0007192381,0.00012097333,0.5043795,0.16718219,0.0006996649],"about_ca_topic_score_codex":0.5200542,"about_ca_topic_score_gemma":0.76322263,"teacher_disagreement_score":0.42366275,"about_ca_system_score_codex":0.00036501384,"about_ca_system_score_gemma":0.00016513973,"threshold_uncertainty_score":0.9996018},"labels":[],"label_agreement":null},{"id":"W7098748968","doi":"","title":"Rochester, the University of Toronto, the Urban Economics Association Annual Meetings","year":2012,"lang":"en","type":"article","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Association (psychology); Urban planning; Urban economics; Urban poverty","score_opus":0.012839761068385282,"score_gpt":0.16353881546015106,"score_spread":0.15069905439176579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098748968","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":[0.74894005,0.0040740455,0.0011283371,0.012209339,0.00050583837,0.00020203918,0.00017509154,0.00002105284,0.2327442],"genre_scores_gemma":[0.9920183,0.000997644,0.00009750433,0.00032868795,0.00016311623,8.0801567e-7,0.0000057940842,0.00000587534,0.0063822987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936485,0.00001767809,0.00028072268,0.00012971715,0.000019626921,0.00018742913],"domain_scores_gemma":[0.9991036,0.000116280746,0.00047476694,0.00022724879,0.000034098604,0.000043990378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096897053,0.00007707966,0.00021076138,0.000016944585,0.00016401996,0.000022997398,0.00028937016,0.000072329996,0.0007387019],"category_scores_gemma":[0.000038539216,0.000059361162,0.00017947562,0.0000426544,0.00004402063,0.00033839577,0.00006901232,0.00006548315,0.0001699862],"study_design_candidate":"not_applicable","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":[0.000009032247,0.000048627848,0.30122474,0.0000029782957,0.00019884952,3.6020246e-8,0.0027135308,0.00015241669,0.0000018318475,0.6813394,0.01377182,0.0005367715],"study_design_scores_gemma":[0.00023434166,0.000020311189,0.18433683,0.0000016795424,0.00003153992,5.990199e-7,0.0020151313,0.0042164875,0.000018473032,0.0045081163,0.80444694,0.00016956445],"about_ca_topic_score_codex":0.014763349,"about_ca_topic_score_gemma":0.0038994327,"teacher_disagreement_score":0.7906751,"about_ca_system_score_codex":0.0002757274,"about_ca_system_score_gemma":0.000011742568,"threshold_uncertainty_score":0.99179745},"labels":[],"label_agreement":null},{"id":"W7098977555","doi":"","title":"Labrador Retriever. Correspondence","year":2013,"lang":"en","type":"article","venue":"","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.023396966764809318,"score_gpt":0.19247984427608428,"score_spread":0.16908287751127496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098977555","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":[0.6847764,0.0005757069,0.010703943,0.009118608,0.0003922858,0.00021673339,0.000029308232,0.00007030229,0.29411668],"genre_scores_gemma":[0.9456584,0.00011237673,0.0009299297,0.0013127945,0.00007116992,0.000020765585,0.000006452095,0.000011686507,0.05187647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990684,0.0000044987128,0.0004113034,0.00029866258,0.00002067919,0.00019647706],"domain_scores_gemma":[0.9994106,0.000038722766,0.0001530268,0.00026713448,0.00003207828,0.00009843248],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017039303,0.00009742352,0.00025711767,0.00013977721,0.00006492905,0.000116134135,0.00022406387,0.000060516504,0.021667104],"category_scores_gemma":[0.00005989372,0.00010002279,0.00012570478,0.00021304778,0.000039853214,0.0003173274,0.000046891313,0.000071372146,0.024993384],"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":[0.00000467863,0.000034049954,0.031543795,0.000003265325,0.00004246501,0.0000013568772,0.000049518218,0.000048749247,0.000030874402,0.9365975,0.029618213,0.0020254913],"study_design_scores_gemma":[0.0005595178,0.000092753915,0.1786151,0.000006233925,0.00000638378,0.000006842039,0.00011179036,0.062093135,0.00017069065,0.46168956,0.2959561,0.00069191866],"about_ca_topic_score_codex":0.0059787594,"about_ca_topic_score_gemma":0.00011024862,"teacher_disagreement_score":0.474908,"about_ca_system_score_codex":0.00004385869,"about_ca_system_score_gemma":0.000009395015,"threshold_uncertainty_score":0.97922724},"labels":[],"label_agreement":null},{"id":"W7099209052","doi":"","title":"The Impact of Interprovincial Migration on Aggregate Output and","year":2007,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Net migration rate; Real gross domestic product; Production (economics); Real wages","score_opus":0.02150415654354821,"score_gpt":0.23265690370627895,"score_spread":0.21115274716273075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099209052","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":[0.9717823,0.00023742736,0.0033335856,0.0007635875,0.000059560916,0.000054046326,0.000014637976,0.0000045181923,0.023750335],"genre_scores_gemma":[0.9985029,0.00026689103,0.000053682143,0.000054027096,0.000051671286,0.0000011596907,0.0000028308161,0.0000049012506,0.0010619168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993816,0.0000029671671,0.00035651436,0.00013421295,0.000013375137,0.00011132613],"domain_scores_gemma":[0.9995219,0.00007719606,0.00022166078,0.00012297387,0.00001677017,0.00003947488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046397586,0.00006583871,0.00016226235,0.00010271274,0.00006845915,0.000038976006,0.00007910402,0.00003390888,0.00003503685],"category_scores_gemma":[0.000042920812,0.00004502927,0.00013619999,0.00006506557,0.000050015868,0.00005582072,0.000019561156,0.00004291189,0.00003944332],"study_design_candidate":"theoretical_or_conceptual","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":[0.00016222204,0.000060786413,0.13646658,0.0000033990193,0.00017609431,9.862559e-7,0.0002200399,0.00037171855,0.000044111293,0.8250782,0.00094631285,0.036469575],"study_design_scores_gemma":[0.00073144987,0.00080608786,0.72453713,0.000014067317,0.000011150578,0.0000036233905,0.00013872038,0.09398022,0.00062509795,0.16169336,0.017078266,0.0003808149],"about_ca_topic_score_codex":0.006800278,"about_ca_topic_score_gemma":0.002954386,"teacher_disagreement_score":0.66338485,"about_ca_system_score_codex":0.00004843734,"about_ca_system_score_gemma":0.0000096891035,"threshold_uncertainty_score":0.9998135},"labels":[],"label_agreement":null},{"id":"W7100234898","doi":"","title":"Speed","year":2012,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare; Key (lock); Travel time; Index (typography); Supply side; Econometric model; Public transport; Supply and demand","score_opus":0.04756562068017887,"score_gpt":0.20962391820889903,"score_spread":0.16205829752872017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100234898","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28604957,0.0010192634,0.004118991,0.0021674929,0.00033182625,0.000042494004,0.000012244151,0.000028383993,0.70622975],"genre_scores_gemma":[0.990182,0.00006243474,0.0005877418,0.00060342,0.00021372587,0.0000014701199,0.000005071009,0.000007296971,0.008336867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999455,0.0000018511614,0.00023755786,0.00010935314,0.0000085053125,0.00018777583],"domain_scores_gemma":[0.99967676,0.00001049681,0.00008007865,0.00013705133,0.0000056309186,0.00008996743],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021182712,0.00005582089,0.00016232526,0.00008451675,0.00003580474,0.000022269303,0.000082471444,0.0000309141,0.0036972822],"category_scores_gemma":[0.00001376226,0.000057917478,0.00010092601,0.0000796043,0.000015116934,0.00018320099,0.000021917956,0.00003269163,0.006536854],"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":[8.736837e-7,0.000025298114,0.14511712,8.184635e-7,0.000021291391,8.253467e-8,0.000032766508,0.000013245828,0.000004331842,0.85262895,0.001949375,0.00020583409],"study_design_scores_gemma":[0.00026836997,0.000017512491,0.11946485,0.0000011547572,0.000005574611,0.0000035864832,0.00004537618,0.006394247,0.00010674967,0.106168784,0.76718515,0.0003386272],"about_ca_topic_score_codex":0.00046226493,"about_ca_topic_score_gemma":0.000013628026,"teacher_disagreement_score":0.7652358,"about_ca_system_score_codex":0.000026054906,"about_ca_system_score_gemma":0.0000019908266,"threshold_uncertainty_score":0.9972135},"labels":[],"label_agreement":null},{"id":"W7100539812","doi":"","title":"Running head:","year":2014,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Field (mathematics); Intersection (aeronautics); Term (time)","score_opus":0.03385359929274177,"score_gpt":0.20797316498421595,"score_spread":0.1741195656914742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100539812","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23864742,0.00025825738,0.06571604,0.005214914,0.00020465144,0.00004308698,0.000005756341,0.000047167192,0.6898627],"genre_scores_gemma":[0.9927862,0.000033693417,0.0015511031,0.0011858649,0.00012477081,0.000004240026,0.000005536666,0.000009362554,0.0042992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933004,0.00000254203,0.00029987178,0.00021661444,0.000010429922,0.00014048365],"domain_scores_gemma":[0.9996273,0.000018350185,0.00010357759,0.00018321288,0.000008758807,0.000058797676],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002714041,0.0000676538,0.0002201614,0.00010749615,0.00006150963,0.000048521226,0.00011948983,0.00003589947,0.0012421419],"category_scores_gemma":[0.000023328541,0.00007236717,0.00011068005,0.00008304804,0.000018911489,0.00008535745,0.000025868774,0.000044378696,0.0024447336],"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":[0.000001200165,0.000010350044,0.029100306,0.0000015539183,0.00001721363,1.442263e-7,0.00002743647,0.00021262896,0.0000029980934,0.96868277,0.001055021,0.00088836876],"study_design_scores_gemma":[0.00025257276,0.000033235407,0.02347313,0.0000023450405,0.000002566519,0.0000012886502,0.000018659677,0.09133977,0.000023084976,0.33953342,0.5451009,0.0002190084],"about_ca_topic_score_codex":0.0014452294,"about_ca_topic_score_gemma":0.000119352604,"teacher_disagreement_score":0.7541388,"about_ca_system_score_codex":0.000021181866,"about_ca_system_score_gemma":0.0000026563164,"threshold_uncertainty_score":0.99967086},"labels":[],"label_agreement":null},{"id":"W7101231809","doi":"","title":"Evolving Business Centres in Canada: The Establishment versus The Next Wave","year":2015,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic impact analysis; Metropolitan area; Core (optical fiber); Regional development; Distribution (mathematics); City region","score_opus":0.08448494936904365,"score_gpt":0.19817697901246253,"score_spread":0.11369202964341889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101231809","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":[0.7906271,0.004415877,0.0005006374,0.08002011,0.0019537879,0.0003237939,0.000046585654,0.000013951613,0.12209815],"genre_scores_gemma":[0.9982851,0.0002573097,0.000043992844,0.0006948725,0.000098065975,0.000012886005,0.000007232005,0.000008221549,0.000592312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910057,0.000013170136,0.00038956045,0.00021664306,0.000045694273,0.00023439387],"domain_scores_gemma":[0.99929625,0.0001265656,0.00015263134,0.00030273362,0.000052954034,0.00006886139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041516242,0.00010136893,0.00021786962,0.000065261076,0.000087102904,0.00016086941,0.00029144957,0.000024691459,0.00032651823],"category_scores_gemma":[0.00014737716,0.0000646109,0.000053022726,0.0003209567,0.000034505912,0.00018625415,0.000089802605,0.00009229162,0.00006801884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008030772,0.000060405033,0.1431592,0.000006909371,0.00018432955,0.000015707794,0.0007186424,0.022018485,5.664155e-7,0.78314394,0.046641674,0.0039698626],"study_design_scores_gemma":[0.0017261091,0.000027617418,0.28390914,0.00000980471,0.000017543662,0.0000030613917,0.0049291644,0.27673736,0.000007648808,0.022617823,0.4095459,0.0004688495],"about_ca_topic_score_codex":0.9813197,"about_ca_topic_score_gemma":0.9843167,"teacher_disagreement_score":0.76052606,"about_ca_system_score_codex":0.001023661,"about_ca_system_score_gemma":0.00034777675,"threshold_uncertainty_score":0.3575146},"labels":[],"label_agreement":null},{"id":"W7113346247","doi":"","title":"The California Manufacturing Sector Expands Further in the Fourth Quarter","year":2025,"lang":"","type":"article","venue":"Chapman University Digital Commons (Chapman University)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Manufacturing sector; Quarter (Canadian coin); Manufacturing; Government (linguistics); Public sector","score_opus":0.016203171651501928,"score_gpt":0.16874749439144426,"score_spread":0.15254432273994234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113346247","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":[0.70179886,0.0006110071,0.002181767,0.016081411,0.00053644483,0.0006752876,0.0011968788,0.000057044563,0.2768613],"genre_scores_gemma":[0.96956044,0.0010958987,0.000012026208,0.0002600577,0.0000929915,3.0431596e-7,0.000070893286,0.000027745773,0.028879639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99713075,0.00014691717,0.00067941693,0.0010045659,0.00013396707,0.0009043625],"domain_scores_gemma":[0.99737585,0.00055183336,0.00056575786,0.0012170954,0.000078915844,0.00021055399],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00045082223,0.0005789102,0.00083400036,0.0016959918,0.0017324109,0.0008331232,0.002663391,0.00032386027,0.00016154372],"category_scores_gemma":[0.00003165749,0.0005757702,0.0008560832,0.0014797115,0.0007129532,0.0010205499,0.00077465526,0.00080552814,0.00037012156],"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":[0.0007697413,0.00076437875,0.063034475,0.00010537072,0.0015531693,0.0005439462,0.004501736,0.0018023324,0.0000019873162,0.9159343,0.0056606904,0.005327835],"study_design_scores_gemma":[0.0023856512,0.00017005758,0.018298715,0.00009958505,0.00014880342,0.00000746533,0.02855697,0.0071250885,0.000009418233,0.010747073,0.9315002,0.0009509739],"about_ca_topic_score_codex":0.0015245167,"about_ca_topic_score_gemma":0.008481598,"teacher_disagreement_score":0.9258395,"about_ca_system_score_codex":0.00096989895,"about_ca_system_score_gemma":0.00013961452,"threshold_uncertainty_score":0.9996694},"labels":[],"label_agreement":null},{"id":"W7118191477","doi":"10.18280/ijsdp.201110","title":"Spatial Agglomeration and Regional Disparities: A Comparative Analysis Based on the Interregional Input-Output Model","year":2025,"lang":"","type":"article","venue":"International Journal of Sustainable Development and Planning","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":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Urban agglomeration; Spatial variability","score_opus":0.041521544122983096,"score_gpt":0.2598241491848017,"score_spread":0.2183026050618186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118191477","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":[0.75123596,0.0031026746,0.21533135,0.02563713,0.0005496159,0.0002527471,0.000047187168,0.0000059207105,0.0038374076],"genre_scores_gemma":[0.993572,0.00046592733,0.0010985272,0.0023180973,0.00018151359,0.00001614798,0.000063921085,0.000009367646,0.0022744762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973663,0.00006343034,0.0015406634,0.00043595812,0.00026004444,0.0003336006],"domain_scores_gemma":[0.99707884,0.0005536174,0.0013273827,0.00014414387,0.0007648566,0.00013115621],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013334742,0.0003370355,0.0008311001,0.0024250962,0.000484957,0.00073730876,0.00047913365,0.00014708738,0.000057461424],"category_scores_gemma":[0.0001734313,0.00030231115,0.00030880852,0.00054668065,0.00021574192,0.0004387507,0.0001797623,0.00044153392,0.000002748805],"study_design_candidate":"simulation_or_modeling","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":[0.0013497808,0.00031401764,0.0947868,0.00008483805,0.009469667,0.00020329458,0.010181883,0.35314795,0.0000014335855,0.5245753,0.00346319,0.0024218569],"study_design_scores_gemma":[0.0011219885,0.00008863674,0.041836604,0.00028100258,0.00025675885,0.000007987175,0.007617313,0.9112732,0.000015752406,0.01929573,0.017844565,0.00036047056],"about_ca_topic_score_codex":0.00032966258,"about_ca_topic_score_gemma":0.000063599,"teacher_disagreement_score":0.55812526,"about_ca_system_score_codex":0.00047832448,"about_ca_system_score_gemma":0.00054477784,"threshold_uncertainty_score":0.9999429},"labels":[],"label_agreement":null},{"id":"W7119297603","doi":"","title":"From Cafes to Competitiveness: The Influence of Amenities on Office Values and Suburban Economic Development in Portland, OR","year":2025,"lang":"en","type":"article","venue":"PDXScholar  (Portland State University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amenity; Metropolitan area; Economic rent; Urban hierarchy; Externality; Hedonic pricing; Econometric model; Spatial econometrics; Economies of agglomeration; Urban economics","score_opus":0.014326342228110302,"score_gpt":0.19121716039671857,"score_spread":0.17689081816860827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7119297603","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":[0.994111,0.00011376038,0.00015160526,0.00048769885,0.000054564498,0.00014011691,0.00019682558,0.000006957831,0.004737482],"genre_scores_gemma":[0.994758,0.0005932163,0.00012444553,0.00019818994,0.000010873575,0.0000018851769,0.000027374166,0.0000063072357,0.0042796703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990495,0.000025466274,0.00040402025,0.0003354112,0.000027516757,0.00015809281],"domain_scores_gemma":[0.9993643,0.00015203952,0.00020213073,0.00019214346,0.000030915377,0.000058435704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775452,0.00013563115,0.00038525506,0.00054787216,0.00013036761,0.00005784216,0.00024800037,0.000043981774,0.0000776848],"category_scores_gemma":[0.00003088656,0.00012240632,0.000052310577,0.00022549744,0.000077202625,0.00019347468,0.000102132944,0.00011386741,0.00003142604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007192457,0.0001066955,0.9124383,0.000035663703,0.00035440168,0.00005031839,0.0029317872,0.024547035,0.00001946194,0.05728693,0.000105432824,0.0014047585],"study_design_scores_gemma":[0.0008658847,0.00007623258,0.8036673,0.000090562164,0.000018597162,6.554656e-7,0.0011873707,0.00058717444,0.00016246567,0.0044989344,0.18856245,0.0002823395],"about_ca_topic_score_codex":0.0069272774,"about_ca_topic_score_gemma":0.0067301956,"teacher_disagreement_score":0.18845703,"about_ca_system_score_codex":0.00015866403,"about_ca_system_score_gemma":0.00009389763,"threshold_uncertainty_score":0.9996857},"labels":[],"label_agreement":null},{"id":"W7120405492","doi":"","title":"Industrial agglomerations and regional economic poles: a comparative analysis between the Southern Brazil and Quebec Province/CA","year":2016,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban agglomeration; Work (physics); Regional policy","score_opus":0.038434561076536096,"score_gpt":0.2525053250934872,"score_spread":0.21407076401695113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7120405492","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":[0.87770253,0.0045607924,0.0036973471,0.07522962,0.0012683286,0.0020334257,0.0058600004,0.000136591,0.029511368],"genre_scores_gemma":[0.9905537,0.0010620366,0.00014485847,0.00018636158,0.0012052523,0.00023120372,0.0023335468,0.00006138518,0.0042216913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99489963,0.00033473613,0.0020537395,0.0016829435,0.00025821858,0.0007707111],"domain_scores_gemma":[0.9954266,0.00071628595,0.002258844,0.00076432026,0.00024589483,0.00058803894],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0010530133,0.0008944597,0.0019245677,0.0014538039,0.0017986889,0.0009972533,0.0007510998,0.0011397772,0.00019568685],"category_scores_gemma":[0.00016230703,0.0007900916,0.0007759698,0.0007047776,0.00014925367,0.0006108056,0.00023530882,0.0009269929,0.000089298126],"study_design_candidate":"theoretical_or_conceptual","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":[0.0003044375,0.00020378138,0.03651039,0.00007538254,0.0059743263,0.000015009756,0.005479316,0.000277002,0.000023925419,0.94818,0.00083312456,0.0021232963],"study_design_scores_gemma":[0.002868226,0.00017073128,0.07739953,0.00025570366,0.002403625,0.000098663506,0.003820272,0.009526153,0.00003342017,0.0037026168,0.89771104,0.0020100162],"about_ca_topic_score_codex":0.0007958318,"about_ca_topic_score_gemma":0.04677134,"teacher_disagreement_score":0.9444774,"about_ca_system_score_codex":0.0011440372,"about_ca_system_score_gemma":0.0011850779,"threshold_uncertainty_score":0.9995008},"labels":[],"label_agreement":null},{"id":"W7125222888","doi":"10.1515/9781772841244-004","title":"CHAPTER 3 Structure and Change: An Overview of the Manitoba Economy","year":2025,"lang":"","type":"book-chapter","venue":"University of Manitoba Press eBooks","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Work (physics)","score_opus":0.09125098994249838,"score_gpt":0.20501553835834418,"score_spread":0.11376454841584581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125222888","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08920406,0.017871646,0.00017937229,0.0009523139,0.0012136949,0.002351715,0.006303999,0.000031064432,0.88189214],"genre_scores_gemma":[0.9147442,0.027189128,0.00034130242,0.0005118998,0.0003723417,0.0000021745395,0.000085283566,0.00009250847,0.05666115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977165,0.000033578795,0.00091189117,0.00094952964,0.000081579565,0.0003069345],"domain_scores_gemma":[0.99640226,0.0000693793,0.0020484033,0.0011290186,0.00018972586,0.00016118097],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021833395,0.0005682556,0.0015326801,0.00046489545,0.00034935807,0.0000683431,0.0012154932,0.000558666,0.00035214153],"category_scores_gemma":[0.0000072963157,0.00066067657,0.0007179169,0.000023374912,0.00079060387,0.00028317902,0.00097475736,0.00044592674,0.0000064493493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007862027,0.000029928073,0.0021082158,0.0005257313,0.0008545129,0.0000058219166,0.0005158579,0.000028435266,0.0000027434296,0.9843224,0.000044663586,0.011483015],"study_design_scores_gemma":[0.0017879833,0.00029902605,0.014268914,0.00092164805,0.001102965,0.000011297098,0.0007319427,0.004462313,0.00012628816,0.13490579,0.83986783,0.0015140207],"about_ca_topic_score_codex":0.034287244,"about_ca_topic_score_gemma":0.043352116,"teacher_disagreement_score":0.8494167,"about_ca_system_score_codex":0.00013819608,"about_ca_system_score_gemma":0.000052747455,"threshold_uncertainty_score":0.99958444},"labels":[],"label_agreement":null},{"id":"W7126336108","doi":"","title":"Analysis of retail trends and taxable sales for El Reno, Oklahoma and Canadian County","year":2000,"lang":"en","type":"article","venue":"SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taxable income; Retail sales; Sales tax; Sales management; Retail trade; Work (physics)","score_opus":0.014506338914500906,"score_gpt":0.15263137306143107,"score_spread":0.13812503414693017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126336108","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":[0.9609407,0.00051622995,0.0007833951,0.0013217927,0.00009476344,0.00042350058,0.01150021,0.00006485566,0.024354516],"genre_scores_gemma":[0.96333015,0.003937489,0.0007334029,0.000052581458,0.000028300039,1.3915574e-7,0.000885377,0.000041679465,0.030990899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99680847,0.00008205925,0.0005896188,0.0013286817,0.00017288887,0.0010182796],"domain_scores_gemma":[0.9971114,0.00018658994,0.00085440004,0.0006751517,0.00026653605,0.0009059668],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035945428,0.0005442101,0.0017043481,0.0042051454,0.0008683873,0.00008196972,0.0009171638,0.00035032426,0.002917666],"category_scores_gemma":[0.000027424887,0.00081980915,0.00087293563,0.0030745415,0.0008189452,0.0011083758,0.00024898848,0.00026723056,0.000026028805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031554867,0.0006895692,0.7706566,0.0004066901,0.012700762,0.0007914115,0.0054310095,0.005221461,0.00011501776,0.16595426,0.0037778744,0.031099884],"study_design_scores_gemma":[0.0043002404,0.0003804876,0.617845,0.000067644796,0.0021341036,0.000013991708,0.0034685791,0.023685804,0.00001695291,0.0011032382,0.34574506,0.0012388824],"about_ca_topic_score_codex":0.1355106,"about_ca_topic_score_gemma":0.1932238,"teacher_disagreement_score":0.3419672,"about_ca_system_score_codex":0.00083177217,"about_ca_system_score_gemma":0.00028366226,"threshold_uncertainty_score":0.9994253},"labels":[],"label_agreement":null},{"id":"W7127241282","doi":"","title":"The Pittsburg Micropolitan Area Economic Report, Quarter 3, 2025","year":2025,"lang":"","type":"article","venue":"Pittsburg State University Digital Commons (Pittsburg State University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); State (computer science); Center (category theory); Context (archaeology)","score_opus":0.01334760309456621,"score_gpt":0.18846828205449395,"score_spread":0.17512067895992775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127241282","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":[0.5101595,0.0052639367,0.0756315,0.031177169,0.006709549,0.003395347,0.011850051,0.0006605898,0.35515234],"genre_scores_gemma":[0.77411,0.014177599,0.000047105492,0.00025983714,0.00014188986,0.0000023800771,0.00038940806,0.0001292848,0.21074244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9911452,0.0002851841,0.0026177114,0.0030934555,0.00028306677,0.002575362],"domain_scores_gemma":[0.99133027,0.0012424875,0.0026723424,0.0031488084,0.000511395,0.0010946901],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0009783437,0.0016740446,0.002591127,0.0037222079,0.003838232,0.0022792045,0.0039042719,0.00059209147,0.00041563745],"category_scores_gemma":[0.00015023077,0.002085567,0.0023863385,0.0026977109,0.0022848542,0.003265705,0.0022584146,0.0014813143,0.0007696863],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036586085,0.0018674127,0.13812174,0.0003188412,0.012008615,0.00722579,0.0022330224,0.009211966,0.000026799016,0.6385582,0.17214908,0.01461993],"study_design_scores_gemma":[0.0030557541,0.00028280052,0.006620826,0.00015867829,0.00041072493,0.000046502948,0.005410789,0.004167282,0.000017154758,0.07379462,0.90392584,0.0021090456],"about_ca_topic_score_codex":0.007812746,"about_ca_topic_score_gemma":0.003965026,"teacher_disagreement_score":0.7317768,"about_ca_system_score_codex":0.0055555836,"about_ca_system_score_gemma":0.0013100399,"threshold_uncertainty_score":0.99960065},"labels":[],"label_agreement":null},{"id":"W7128507114","doi":"10.64903/1480-6800.22.1.15","title":"Analysis of the Spatial Distribution of the Commercial Activities in Desert Cities: A Case Study of Ghardaia, Algeria","year":2019,"lang":"","type":"article","venue":"Arab world geographer","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spatial distribution; Distribution (mathematics); Statistical analysis; Population; Attraction; Descriptive statistics; Polarization (electrochemistry)","score_opus":0.016389704347332196,"score_gpt":0.21980311086801346,"score_spread":0.20341340652068127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128507114","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":[0.99612135,0.00047272333,0.000061968276,0.00031658082,0.00056060596,0.0007572253,0.0009002786,0.0000023550385,0.00080691895],"genre_scores_gemma":[0.99917585,0.00015995528,0.0000039945976,0.00005470662,0.000034336583,0.000027564813,0.000023530187,0.000018653922,0.00050142687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967707,0.00020880491,0.0019895083,0.00053960533,0.00015241938,0.0003389864],"domain_scores_gemma":[0.99609816,0.00033094507,0.0022160476,0.0011945943,0.00010886184,0.000051370138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008310296,0.00031005213,0.0016817994,0.0009949119,0.00015141931,0.00004320019,0.0006982494,0.000121853715,0.0008420797],"category_scores_gemma":[0.00005135662,0.00025435915,0.0016153256,0.004677434,0.0003995492,0.00017268072,0.00033189292,0.00029617985,0.0000037729967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011715644,0.0009532867,0.9749046,0.00004756129,0.003510747,0.0000034863465,0.0025068067,0.013740169,0.000006774067,0.0033893632,0.000023656192,0.0007964155],"study_design_scores_gemma":[0.0011418479,0.00015759464,0.9716489,0.000051760893,0.0010138135,0.0000015975112,0.004589015,0.020023357,0.000050304192,0.0007757099,0.00027771379,0.00026838886],"about_ca_topic_score_codex":0.15592453,"about_ca_topic_score_gemma":0.30037183,"teacher_disagreement_score":0.14444731,"about_ca_system_score_codex":0.000098431396,"about_ca_system_score_gemma":0.00007296349,"threshold_uncertainty_score":0.9999909},"labels":[],"label_agreement":null},{"id":"W7131132825","doi":"10.1007/978-3-031-92524-5_76","title":"Geography of Industrialization","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","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":"Simon Fraser University","funders":"","keywords":"Industrialisation; Transformative learning; Production (economics); Scale (ratio); Service (business); Power (physics)","score_opus":0.035768233265553465,"score_gpt":0.19566824506511993,"score_spread":0.15990001179956648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131132825","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029125436,0.001214895,0.003235462,0.00047718495,0.0002489552,0.00011280701,0.00028046078,0.000012709329,0.9943884],"genre_scores_gemma":[0.010171873,0.0023938683,0.00025881015,0.00023119712,0.00013666318,0.0000049180912,0.00022040123,0.000024620007,0.98655766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986781,0.0000016333788,0.0008787294,0.00032518688,0.00002281218,0.0000935426],"domain_scores_gemma":[0.9988511,0.000028101036,0.00073290046,0.0003005659,0.00005110279,0.00003618422],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016314039,0.00016917521,0.00069979683,0.000755547,0.000028990371,0.00002291553,0.00018802565,0.000346408,0.0036029774],"category_scores_gemma":[0.000018977467,0.00019825251,0.0004509954,0.00006225987,0.0000546153,0.00004721189,0.000053681408,0.00012249306,0.00016752529],"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":[0.0000043347045,0.000008230137,0.0015179686,0.000018064795,0.00026283643,3.0470045e-7,0.0000030889507,0.000039349452,8.365055e-8,0.9903977,0.006577192,0.0011708345],"study_design_scores_gemma":[0.00013388532,0.000017912327,0.00014254318,0.000028249331,0.000025768932,1.1856823e-7,7.3472995e-7,0.00055381,0.0000032014977,0.4643209,0.53460145,0.00017141426],"about_ca_topic_score_codex":0.0005723774,"about_ca_topic_score_gemma":0.00005106365,"teacher_disagreement_score":0.52802426,"about_ca_system_score_codex":0.00003736297,"about_ca_system_score_gemma":0.000030063158,"threshold_uncertainty_score":0.99730784},"labels":[],"label_agreement":null},{"id":"W7132843893","doi":"10.1093/jeg/lbaf050","title":"The Journal of Economic Geography at 25: charting the geographies of economies for quarter of a century (2001–26)","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Human geography; Historical geography; Regional economics","score_opus":0.01154774573532398,"score_gpt":0.21341328958659506,"score_spread":0.2018655438512711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132843893","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":[0.9710602,0.018967278,0.00048481187,0.0044022733,0.0022046468,0.00035887433,0.00028079495,0.0000052976156,0.0022358173],"genre_scores_gemma":[0.98174983,0.017195141,0.00038560203,0.0001769711,0.00035982268,0.000013024214,0.0000043140467,0.000035031873,0.0000802589],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944506,0.00007743016,0.0045691063,0.00030665836,0.00006406856,0.000532106],"domain_scores_gemma":[0.98938745,0.0010772947,0.008524226,0.0005831864,0.00028360842,0.00014426053],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004125732,0.00035928717,0.0016626127,0.0021194513,0.0003904473,0.00012882943,0.0013085644,0.00017452642,0.0001910064],"category_scores_gemma":[0.000106059466,0.00027411588,0.0028780994,0.0003026731,0.0006786983,0.00047058295,0.00014955462,0.00032119712,0.000015303782],"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":[0.0012044185,0.00025416914,0.80434775,0.00019074931,0.007493734,0.0000018205988,0.0007044979,0.009753072,0.00007138223,0.15831971,0.0147149805,0.0029437116],"study_design_scores_gemma":[0.008723348,0.0024912674,0.29076165,0.00040602603,0.0014626181,0.00013203401,0.005480626,0.010987473,0.0012545021,0.3316095,0.3452922,0.0013987464],"about_ca_topic_score_codex":0.00043114243,"about_ca_topic_score_gemma":0.0005975796,"teacher_disagreement_score":0.5135861,"about_ca_system_score_codex":0.00017709818,"about_ca_system_score_gemma":0.00016477269,"threshold_uncertainty_score":0.9999711},"labels":[],"label_agreement":null},{"id":"W7132951949","doi":"","title":"Essays in Spatial and International Economics","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Sorting; Welfare; Inequality; Profit (economics); General equilibrium theory; Spatial mismatch","score_opus":0.025854489743952477,"score_gpt":0.2723320454097524,"score_spread":0.24647755566579993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132951949","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":[0.86520267,0.016060088,0.0002907873,0.009077508,0.006364209,0.00042167088,0.00030007848,0.000028991037,0.102253996],"genre_scores_gemma":[0.8939632,0.052107677,0.00022073342,0.00020007663,0.0007017924,0.000106560685,0.00082803424,0.000118808115,0.05175312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962458,0.00002124371,0.0016643074,0.0015263791,0.00004624153,0.00049600535],"domain_scores_gemma":[0.9983607,0.00009721072,0.00085942505,0.0004238268,0.000055665394,0.00020319683],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00059425714,0.0006120473,0.0012808626,0.0015359435,0.00011109754,0.00066228356,0.0005113509,0.0006269763,0.0021568798],"category_scores_gemma":[0.0000763657,0.00083469425,0.00042165397,0.00028184132,0.00010776776,0.00028769133,0.00019454068,0.0007103201,0.0011869408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031491544,0.0003152291,0.043698054,0.0005798,0.001223063,0.00005862661,0.016198713,0.0037874028,0.000012238308,0.9105349,0.0010431561,0.022233902],"study_design_scores_gemma":[0.0017177744,0.00015721619,0.028330456,0.0003724758,0.00016984458,0.00001865924,0.0056666657,0.59610665,0.000025544325,0.26635405,0.098869585,0.002211094],"about_ca_topic_score_codex":0.017288605,"about_ca_topic_score_gemma":0.023624403,"teacher_disagreement_score":0.64418083,"about_ca_system_score_codex":0.00052698,"about_ca_system_score_gemma":0.00013785907,"threshold_uncertainty_score":0.99959075},"labels":[],"label_agreement":null},{"id":"W7133018627","doi":"","title":"The economic geography of risk: three papers on organization, development and agglomeration","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Metropolitan area; Risk management; Human geography; Urban agglomeration; Construct (python library); Portfolio; Location theory; Distribution (mathematics)","score_opus":0.009750627001436788,"score_gpt":0.2150733758498958,"score_spread":0.20532274884845902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133018627","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":[0.9883407,0.0036092673,0.00038418808,0.00081357145,0.00078294054,0.00041523224,0.00008802822,0.000013927962,0.0055521787],"genre_scores_gemma":[0.977475,0.020449523,0.0003134956,0.00005401568,0.00013227355,0.000030216477,0.0006011329,0.00007609812,0.0008682829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970665,0.00002837528,0.0015973096,0.0008596969,0.00008278972,0.00036531177],"domain_scores_gemma":[0.9962412,0.00024625513,0.0027067745,0.0005173955,0.00014470478,0.00014363225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006463714,0.00049862306,0.0008988891,0.0005425216,0.0010800773,0.00029525557,0.0003852144,0.00035670667,0.00034475658],"category_scores_gemma":[0.00016430578,0.0005002646,0.00027373593,0.00037884264,0.00018011028,0.00012673793,0.000055247732,0.0003184184,0.00022426256],"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":[0.00029651725,0.00023863396,0.29440486,0.00023734102,0.0029598577,0.0000022001502,0.014562648,0.046606343,0.000023364759,0.6063112,0.00014258422,0.034214467],"study_design_scores_gemma":[0.0015881315,0.00027079962,0.9371584,0.00020741831,0.00025569703,0.0000022691204,0.0032862,0.0048528877,0.001032386,0.02332069,0.026501268,0.0015238244],"about_ca_topic_score_codex":0.00425211,"about_ca_topic_score_gemma":0.013824916,"teacher_disagreement_score":0.64275354,"about_ca_system_score_codex":0.0005127929,"about_ca_system_score_gemma":0.00039187176,"threshold_uncertainty_score":0.9997449},"labels":[],"label_agreement":null},{"id":"W7133027773","doi":"","title":"Essays in Urban and Spatial Economics","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Discrete choice; Urban economics; Census; Census tract; Spatial econometrics; Empirical evidence; Urban spatial structure","score_opus":0.020512377638679455,"score_gpt":0.24832774034429614,"score_spread":0.2278153627056167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133027773","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":[0.8237801,0.010452945,0.00060881913,0.0032441807,0.0019119533,0.0006362879,0.00034052774,0.000021217465,0.15900397],"genre_scores_gemma":[0.9283637,0.022530511,0.00017297226,0.00029124235,0.00032669658,0.00013416649,0.00082025304,0.00007492821,0.047285564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995639,0.000041925545,0.0019638669,0.001639674,0.000040912302,0.0006746213],"domain_scores_gemma":[0.9974872,0.00018453068,0.0013468384,0.0006817706,0.00006615126,0.00023354338],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006566243,0.0007351393,0.0020524247,0.001593434,0.00022781471,0.00037279475,0.00051235093,0.00084375957,0.00096489623],"category_scores_gemma":[0.00012923573,0.001056515,0.00046718356,0.00044783656,0.00010113689,0.00023296344,0.00016462996,0.00067842467,0.0002185904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052482006,0.0005419792,0.16608937,0.00092979375,0.0012082455,0.000030154722,0.012743898,0.007592706,0.000006575694,0.7823473,0.0017690018,0.02621611],"study_design_scores_gemma":[0.0045882133,0.00033557147,0.116736524,0.00064386864,0.0003173216,0.000004739145,0.0056417393,0.5680519,0.00008862307,0.124149,0.17546089,0.0039816336],"about_ca_topic_score_codex":0.051232368,"about_ca_topic_score_gemma":0.0590503,"teacher_disagreement_score":0.65819836,"about_ca_system_score_codex":0.00048051224,"about_ca_system_score_gemma":0.00026788813,"threshold_uncertainty_score":0.9999484},"labels":[],"label_agreement":null},{"id":"W7134292398","doi":"","title":"Kentucky and NAFTA","year":2018,"lang":"","type":"article","venue":"Murray State's Digital Commons (Murray State University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Liberian dollar; Gross national income; Gross domestic income; Product (mathematics); Real gross domestic product; Trade diversion; Us dollar; Goods and services; Economic impact analysis","score_opus":0.019048768139953272,"score_gpt":0.17877265281498853,"score_spread":0.15972388467503526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134292398","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":[0.77551234,0.0011959211,0.0066972906,0.0026205021,0.0010233497,0.0005602842,0.007991456,0.00011524089,0.20428361],"genre_scores_gemma":[0.948731,0.0036750182,0.00018481526,0.0002492849,0.00019048333,0.0000019432744,0.0002445037,0.0001071288,0.046615846],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951258,0.00007560086,0.0014119947,0.0018611061,0.00016628354,0.0013592313],"domain_scores_gemma":[0.99620587,0.0002314273,0.0011403502,0.0011712405,0.00033989552,0.0009112354],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045459493,0.00091232813,0.0015569451,0.001881654,0.0010892159,0.001560454,0.0011794987,0.00028297433,0.0007693453],"category_scores_gemma":[0.00008924336,0.0012179073,0.0006347131,0.0016761032,0.0017121227,0.002385631,0.00096305774,0.00060571247,0.0020096279],"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":[0.0030785056,0.0034461203,0.48991454,0.00052149885,0.008316934,0.0012326426,0.010575517,0.0014659445,0.000064430715,0.3381053,0.029752871,0.1135257],"study_design_scores_gemma":[0.0025332042,0.0010804259,0.011858441,0.00009436538,0.00012731098,0.000023897646,0.00092150486,0.007291021,0.000053630945,0.02645245,0.94758207,0.0019816947],"about_ca_topic_score_codex":0.0019609302,"about_ca_topic_score_gemma":0.0025364973,"teacher_disagreement_score":0.91782916,"about_ca_system_score_codex":0.00059388235,"about_ca_system_score_gemma":0.00018026603,"threshold_uncertainty_score":0.999476},"labels":[],"label_agreement":null},{"id":"W7135456313","doi":"","title":"Regional differentiation of the economy of the selected Canadian provinces since the 1980's till the present","year":2007,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Tourism; Productivity; Work (physics)","score_opus":0.008919381079882676,"score_gpt":0.20125568970819277,"score_spread":0.19233630862831008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135456313","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":[0.85115474,0.010015111,0.0000401878,0.0052956142,0.0041276943,0.002098343,0.0014605961,0.000015270947,0.12579243],"genre_scores_gemma":[0.98455536,0.000090951675,0.0000105512745,0.00016248522,0.0006462451,0.00005371276,0.0004856474,0.00004734509,0.013947707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99537116,0.00017106447,0.002654452,0.0007814948,0.0006002913,0.00042152524],"domain_scores_gemma":[0.9905298,0.00067605963,0.0052133566,0.001069239,0.0023636853,0.00014789937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057028234,0.0005551854,0.0008626127,0.0004297939,0.0010857586,0.0007042791,0.0019190717,0.00051629683,0.000007630473],"category_scores_gemma":[0.00040342053,0.00033516757,0.0012546076,0.0010987129,0.0008006121,0.00067396177,0.00015066464,0.0007279854,0.0000032911112],"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":[0.0006176626,0.0009979641,0.31427756,0.0011312236,0.004384409,0.000010901654,0.008252077,0.005146307,0.0010919323,0.65829676,0.0048497915,0.000943389],"study_design_scores_gemma":[0.0005847473,0.00015999474,0.90356606,0.00092765037,0.0003156566,0.000085528765,0.0004904463,0.008311902,0.007443381,0.014304827,0.06299788,0.0008119483],"about_ca_topic_score_codex":0.010156358,"about_ca_topic_score_gemma":0.00850188,"teacher_disagreement_score":0.64399195,"about_ca_system_score_codex":0.0006914532,"about_ca_system_score_gemma":0.0019077987,"threshold_uncertainty_score":0.99991006},"labels":[],"label_agreement":null},{"id":"W7151873342","doi":"10.70675/ce5aa8daz4ce3z42f9z962bz4322d56f14df","title":"L'impact des infrastructures de transport sur les décisions de localisation et la longévité des entreprises","year":2024,"lang":"","type":"dissertation","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rail transportation; Transportation infrastructure; Passenger transport; Transport infrastructure; Transport policy","score_opus":0.02976567023788545,"score_gpt":0.2733828942323216,"score_spread":0.24361722399443614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151873342","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":[0.9329681,0.0057849274,0.04703961,0.00023071669,0.0002729362,0.0002964365,0.00077866146,0.000067755216,0.012560883],"genre_scores_gemma":[0.96492565,0.025711592,0.0024692027,0.00014019679,0.00017371128,0.000059446054,0.0016574721,0.00014174615,0.004720968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957475,0.00012039472,0.0019374031,0.001247016,0.00011389093,0.00083378825],"domain_scores_gemma":[0.997476,0.00049528485,0.0008086867,0.00053382566,0.00022571602,0.00046051148],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013788303,0.00085446256,0.0013826007,0.0012328092,0.0005169679,0.00073089945,0.00055222074,0.000936203,0.0061165104],"category_scores_gemma":[0.00036913736,0.000895444,0.0016610441,0.00066898955,0.00040352382,0.0006131819,0.000049182265,0.000757448,0.0002166374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021324908,0.0002991405,0.7747857,0.0006246137,0.0019782677,0.000052525815,0.010149563,0.071674496,0.000092361646,0.106755845,0.0004761117,0.03289812],"study_design_scores_gemma":[0.00035039528,0.00010884076,0.69604295,0.00025380842,0.00032391722,0.00002435166,0.0011630043,0.036815975,0.00011543853,0.26181865,0.0021551056,0.00082753995],"about_ca_topic_score_codex":0.063421875,"about_ca_topic_score_gemma":0.03839992,"teacher_disagreement_score":0.15506281,"about_ca_system_score_codex":0.00086370663,"about_ca_system_score_gemma":0.0007102293,"threshold_uncertainty_score":0.9993496},"labels":[],"label_agreement":null},{"id":"W7161758304","doi":"10.82308/920","title":"A comparative analysis of changing middle-class dynamics across Canada's urban system, 1986-2016","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Urban environment; Ile de france; Context (archaeology)","score_opus":0.03292408679761355,"score_gpt":0.23914164706036353,"score_spread":0.20621756026274998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161758304","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":[0.9256309,0.0013043126,0.000722855,0.00024608252,0.0020443697,0.00041861672,0.008443224,0.00008299418,0.061106596],"genre_scores_gemma":[0.92733353,0.00014841583,0.000036707315,0.000042966614,0.000096780044,0.000056607805,0.007999622,0.00004850446,0.06423689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967554,0.000020056894,0.0017352792,0.00081296405,0.00011434965,0.0005619035],"domain_scores_gemma":[0.99700624,0.000141981,0.0019610333,0.00056016207,0.00018435193,0.00014625775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050087523,0.00043270015,0.0026663912,0.0012077608,0.00018014085,0.000100667785,0.00050889584,0.00030602646,0.00013391995],"category_scores_gemma":[0.000030217958,0.00048347493,0.00091577414,0.0024574618,0.00004149215,0.00008865515,0.00006440653,0.00022222011,0.00012286007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014700303,0.00015341556,0.04187455,0.0012707596,0.037591904,0.000033590866,0.012057998,0.02143487,0.0000037137795,0.8802375,0.004734594,0.00046005644],"study_design_scores_gemma":[0.0003762463,0.000040337814,0.031235904,0.00020976644,0.0012048602,6.3648355e-7,0.03252323,0.9276496,0.000025963314,0.00041870924,0.005193564,0.0011211692],"about_ca_topic_score_codex":0.82147294,"about_ca_topic_score_gemma":0.9828133,"teacher_disagreement_score":0.9062148,"about_ca_system_score_codex":0.0011879262,"about_ca_system_score_gemma":0.00023254444,"threshold_uncertainty_score":0.9997617},"labels":[],"label_agreement":null},{"id":"W7165455805","doi":"10.5281/zenodo.20776970","title":"Notes sur les pôles de croissance et les stratégies territoriales au Québec","year":2005,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Order (exchange); Resource (disambiguation); Process (computing); Productive forces; Polarization (electrochemistry)","score_opus":0.06249208402298818,"score_gpt":0.2357472119684406,"score_spread":0.17325512794545242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165455805","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2618536,0.015694326,0.011910841,0.671928,0.00074414385,0.00037945292,0.0022818572,0.00035872802,0.034849048],"genre_scores_gemma":[0.9850042,0.003480447,0.00073121797,0.00023175644,0.0014641779,1.088448e-7,0.0005459661,0.00081756286,0.007724565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997841,0.00020909587,0.00067674497,0.00060898945,0.00009742371,0.00056674826],"domain_scores_gemma":[0.99856204,0.00012782325,0.00039071136,0.00043788165,0.00028246554,0.00019910831],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001178714,0.00025356925,0.0004159125,0.00031646306,0.0021658097,0.0012842588,0.00093335786,0.0002030392,0.007498421],"category_scores_gemma":[0.0009813356,0.00033311054,0.00021414009,0.0002923506,0.0004350966,0.0005981566,0.00052698876,0.0003944375,0.003164553],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063353895,0.00036178314,0.0022151747,0.00014641184,0.0002704022,0.0000091666625,0.0026531,0.006119455,0.00023970092,0.75639623,0.07891697,0.15260826],"study_design_scores_gemma":[0.0003793535,0.00012751443,0.010627503,0.00006354293,0.00002318193,0.000028991217,0.00028611656,0.006258421,0.00011731878,0.0011365628,0.980593,0.00035844435],"about_ca_topic_score_codex":0.22366025,"about_ca_topic_score_gemma":0.036543746,"teacher_disagreement_score":0.90167606,"about_ca_system_score_codex":0.0008557472,"about_ca_system_score_gemma":0.00003536382,"threshold_uncertainty_score":0.9999121},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":true,"confidence":"low"}],"label_agreement":"split"},{"id":"W7165467732","doi":"10.5281/zenodo.20776971","title":"Notes sur les pôles de croissance et les stratégies territoriales au Québec","year":2005,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Order (exchange); Resource (disambiguation); Process (computing); Productive forces; Polarization (electrochemistry)","score_opus":0.06249208402298818,"score_gpt":0.2357472119684406,"score_spread":0.17325512794545242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165467732","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2618536,0.015694326,0.011910841,0.671928,0.00074414385,0.00037945292,0.0022818572,0.00035872802,0.034849048],"genre_scores_gemma":[0.9850042,0.003480447,0.00073121797,0.00023175644,0.0014641779,1.088448e-7,0.0005459661,0.00081756286,0.007724565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997841,0.00020909587,0.00067674497,0.00060898945,0.00009742371,0.00056674826],"domain_scores_gemma":[0.99856204,0.00012782325,0.00039071136,0.00043788165,0.00028246554,0.00019910831],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001178714,0.00025356925,0.0004159125,0.00031646306,0.0021658097,0.0012842588,0.00093335786,0.0002030392,0.007498421],"category_scores_gemma":[0.0009813356,0.00033311054,0.00021414009,0.0002923506,0.0004350966,0.0005981566,0.00052698876,0.0003944375,0.003164553],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063353895,0.00036178314,0.0022151747,0.00014641184,0.0002704022,0.0000091666625,0.0026531,0.006119455,0.00023970092,0.75639623,0.07891697,0.15260826],"study_design_scores_gemma":[0.0003793535,0.00012751443,0.010627503,0.00006354293,0.00002318193,0.000028991217,0.00028611656,0.006258421,0.00011731878,0.0011365628,0.980593,0.00035844435],"about_ca_topic_score_codex":0.22366025,"about_ca_topic_score_gemma":0.036543746,"teacher_disagreement_score":0.90167606,"about_ca_system_score_codex":0.0008557472,"about_ca_system_score_gemma":0.00003536382,"threshold_uncertainty_score":0.9999121},"labels":[],"label_agreement":null},{"id":"W7235548","doi":"10.4018/978-1-61520-721-3.ch003","title":"Attracting and Retaining Knowledge Workers","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université TÉLUQ; York University","funders":"","keywords":"Metropolitan area; Workforce; Quality (philosophy); Attraction; Population; Public relations; Marketing; Psychology; Sociology; Business; Political science; Geography; Economic growth; Economics","score_opus":0.04116639927576873,"score_gpt":0.23203079857840334,"score_spread":0.1908643993026346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7235548","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003805591,0.0025446669,0.00015928192,0.0002321394,0.00045090533,0.00013609197,0.0001641269,0.00004263146,0.99246454],"genre_scores_gemma":[0.7913621,0.00011290377,0.0008801307,0.00028804748,0.0006975853,0.000011484003,0.000012671786,0.00008497246,0.20655009],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981466,0.000003913817,0.00077495415,0.0007246774,0.00003492161,0.0003149345],"domain_scores_gemma":[0.99858385,0.000056884786,0.0007204331,0.00040163484,0.000043381806,0.00019383365],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032035392,0.0003816507,0.00085674715,0.00015982418,0.00019517892,0.00018195328,0.0002558986,0.0005817093,0.00023057986],"category_scores_gemma":[0.00003522756,0.00046209374,0.0003457956,0.000019443629,0.0001454462,0.000068262525,0.00016142064,0.00054179505,0.0008794984],"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":[0.000009939362,0.0000049179207,0.0031814864,0.000017736238,0.00020138534,0.000009668956,0.000048700847,0.0000030842716,0.0000014104432,0.99212927,0.00028653158,0.004105886],"study_design_scores_gemma":[0.00021002418,0.000027913818,0.00040750328,0.00006408118,0.000040625622,0.000017412996,0.000011637781,0.00020345072,0.0000024201568,0.6990151,0.29948217,0.00051765854],"about_ca_topic_score_codex":0.0004970779,"about_ca_topic_score_gemma":0.00082237547,"teacher_disagreement_score":0.7875565,"about_ca_system_score_codex":0.0001690875,"about_ca_system_score_gemma":0.000061467224,"threshold_uncertainty_score":0.99989843},"labels":[],"label_agreement":null},{"id":"W73148572","doi":"10.1007/978-3-642-21723-4_17","title":"Innovation, Cities and Place: An Empirical Study of the Knowledge System in Vancouver and Its Place on the Pacific Rim","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Social connectedness; Gateway (web page); Economic geography; Regional science; Geography; Isolation (microbiology); Computer science; World Wide Web","score_opus":0.06891598336574094,"score_gpt":0.23236995808673305,"score_spread":0.1634539747209921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W73148572","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":[0.5091231,0.0006479285,0.000006965517,0.00021869612,0.00021084103,0.0004933073,0.000076391916,0.00000878715,0.48921397],"genre_scores_gemma":[0.88016963,0.00019110227,0.0000027270573,0.00007346616,0.000051580944,0.000020191788,0.0000037419852,0.000024721854,0.11946285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984954,0.000024789395,0.0008622048,0.00045084296,0.00004078964,0.00012598802],"domain_scores_gemma":[0.99877775,0.00013759243,0.0005820015,0.0003906283,0.00007850664,0.000033494296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063901825,0.00024465614,0.0006285473,0.000408707,0.000120480734,0.000047847952,0.00023957861,0.00018447089,0.00016666231],"category_scores_gemma":[0.000025355555,0.00016352037,0.00006593221,0.00012160058,0.000095283845,0.00008720598,0.00012793997,0.00024744493,0.000025807596],"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":[0.000029592122,0.00008454932,0.009480305,0.00004303083,0.00012565429,7.119055e-7,0.0018663865,0.000034477216,7.0834176e-8,0.98666024,0.0015439321,0.0001310587],"study_design_scores_gemma":[0.0068414444,0.003046619,0.13004851,0.00093268015,0.00029837122,0.00001982572,0.029535878,0.05737344,0.00002017496,0.3089269,0.45887595,0.004080175],"about_ca_topic_score_codex":0.00035097208,"about_ca_topic_score_gemma":0.0060301493,"teacher_disagreement_score":0.6777333,"about_ca_system_score_codex":0.00009348296,"about_ca_system_score_gemma":0.00003304132,"threshold_uncertainty_score":0.6668167},"labels":[],"label_agreement":null},{"id":"W74383518","doi":"","title":"Metropolisation in Warsaw: Economic Change and Urban Growth *","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Position (finance); Order (exchange); Attractiveness; Regional science; Economic geography; Business; Investment (military); Economy; Geography; Economics; Political science; Finance","score_opus":0.08080576542131417,"score_gpt":0.20234418078017694,"score_spread":0.12153841535886277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W74383518","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":[0.9708495,0.0052789296,0.00009407133,0.017440006,0.0003626512,0.00007469406,0.000024578596,0.0000019275085,0.0058736475],"genre_scores_gemma":[0.99812233,0.00080936943,0.00019631696,0.0005481171,0.00020450134,0.0000019191232,7.0259887e-7,0.0000059702497,0.00011077475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998993,0.000007765025,0.00046193541,0.00021746244,0.00004259193,0.00027727385],"domain_scores_gemma":[0.99902457,0.000025409274,0.00035272108,0.00009748197,0.000052076484,0.00044772966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070012145,0.0000865072,0.00025777725,0.0012504486,0.00014204647,0.00011539931,0.00031961725,0.0000412936,0.00026120408],"category_scores_gemma":[0.00007550527,0.000093400326,0.000076909084,0.00035098306,0.00040092826,0.00075511937,0.00001322449,0.00010863655,0.00006323401],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002630307,0.000010006304,0.38443416,0.000003640789,0.000014215971,0.00001988759,0.00090230437,0.000074719,0.000004726685,0.6113434,0.0020917207,0.0010986039],"study_design_scores_gemma":[0.0010789447,0.00023047841,0.6900147,0.000059321843,0.000013616452,0.00025074361,0.00035373523,0.046240274,0.00002372029,0.13629341,0.1247945,0.0006465354],"about_ca_topic_score_codex":0.036668155,"about_ca_topic_score_gemma":0.027819406,"teacher_disagreement_score":0.47504997,"about_ca_system_score_codex":0.00059065345,"about_ca_system_score_gemma":0.00015251437,"threshold_uncertainty_score":0.9899204},"labels":[],"label_agreement":null},{"id":"W78271450","doi":"10.1111/j.1085-9489.2004.00332.x","title":"Book reviews","year":2004,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Regionalism (politics); Enforcement; Economic history; Economy; Political science; Sociology; Geography; Economics; Law; Archaeology","score_opus":0.05016621209930604,"score_gpt":0.247557373322249,"score_spread":0.19739116122294298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W78271450","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32584783,0.36216345,0.06053766,0.1847916,0.003065293,0.0005216065,0.000024281275,0.00002954963,0.06301875],"genre_scores_gemma":[0.93778455,0.035515524,0.008948156,0.014438465,0.0008396298,0.0000042305182,0.0000011111297,0.000017657389,0.002450675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987231,0.0000048269494,0.00079132314,0.00019019592,0.000097941906,0.00019259934],"domain_scores_gemma":[0.99854946,0.000017029311,0.0009977977,0.00015994036,0.000105747386,0.00017002726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015175857,0.00008467794,0.00037745078,0.00036689168,0.00013704467,0.0000752986,0.0005481515,0.000029447261,0.00021854739],"category_scores_gemma":[0.00013820533,0.00007278222,0.00027801513,0.0004585435,0.00029695735,0.00073627214,0.000037174952,0.00012120719,0.0002893923],"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":[0.000017504726,0.00010443944,0.0022414164,0.0000080587015,0.000032513763,0.000017327811,0.00018967126,0.0021584686,0.00027092732,0.96851665,0.025102356,0.0013406903],"study_design_scores_gemma":[0.00030135163,0.000085543346,0.004046133,0.000031109023,0.000004448728,0.00010209362,0.000011747619,0.00014080374,0.000063301115,0.109079875,0.88601595,0.00011763891],"about_ca_topic_score_codex":0.000082671824,"about_ca_topic_score_gemma":0.000008006396,"teacher_disagreement_score":0.8609136,"about_ca_system_score_codex":0.00022832536,"about_ca_system_score_gemma":0.00015105569,"threshold_uncertainty_score":0.3719649},"labels":[],"label_agreement":null},{"id":"W914649820","doi":"","title":"The Peripheries of British Columbia: Patterns of Migration and Economic Structure, 1976-2002 * / Les Peripheries De la Colombie-Britannique: Les Patrons De Mogration et De Structure Economique, 1976 a 2002","year":2004,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","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":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Population; Economy; Ethnology; Economic geography; Political science; Forestry; Welfare economics; Economics; Sociology; Demography","score_opus":0.009123338749985022,"score_gpt":0.20275143594467787,"score_spread":0.19362809719469284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W914649820","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":[0.9770875,0.014103389,0.0011201523,0.0053713173,0.00025485162,0.0001262945,0.0017037495,0.0000021294125,0.00023063505],"genre_scores_gemma":[0.984937,0.011709525,0.002303283,0.00018315049,0.00015238194,0.000004318361,0.000008001225,0.000019521003,0.00068283343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998031,0.0001099418,0.0009563658,0.0003223635,0.000075914904,0.0005043764],"domain_scores_gemma":[0.997657,0.00017255689,0.0013188043,0.00018861075,0.00021457757,0.00044842414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012835569,0.00018020603,0.0005367903,0.00021392095,0.0006233012,0.0008051621,0.000530924,0.00024241737,0.0004104275],"category_scores_gemma":[0.00018053324,0.0002446528,0.00023410366,0.00020639389,0.0026248093,0.00070955127,0.00003302603,0.00033856745,5.8990963e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036903602,0.000037305108,0.84239,0.00009248187,0.00022903222,0.000033532564,0.0028161665,0.035809897,0.00032103673,0.10606852,0.00271239,0.009452711],"study_design_scores_gemma":[0.0007166198,0.00037109043,0.88165665,0.00032438466,0.00007279582,0.0010697879,0.0027055165,0.0044286274,0.0001651633,0.049619496,0.058440436,0.0004294642],"about_ca_topic_score_codex":0.6178593,"about_ca_topic_score_gemma":0.9684359,"teacher_disagreement_score":0.35057658,"about_ca_system_score_codex":0.0014335421,"about_ca_system_score_gemma":0.0042566406,"threshold_uncertainty_score":0.9976651},"labels":[],"label_agreement":null}]}