{"meta":{"query_hash":"03c978459f64","filters":{"venue":"Journal of Regional Science"},"cohort_total":53,"direct_labels_cover":0,"predictions_cover":53,"exported":53,"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/03c978459f64","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Regional+Science"},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938431,0.00011807253,0.00042064683,0.00022318237,0.00000263636,0.0000075584326,0.00025640137,0.000009760261,0.005118661],"genre_scores_gemma":[0.99947566,0.000017216853,0.00008460818,0.000007475548,0.0000018657653,0.000001659658,0.000064497704,0.0000012438422,0.00034575965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996762,0.00009945771,0.000012261709,0.000038829407,0.00009108562,0.000082232524],"domain_scores_gemma":[0.9981317,0.00046918337,0.0007781203,0.00010772364,0.00017579441,0.00033745752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003683929,0.00014986354,0.00015471791,0.00093706365,0.0003714906,0.0009918021,0.0002870634,0.00016815674,0.005055969],"category_scores_gemma":[0.002318737,0.00009706929,0.00017284493,0.0011226898,0.0009825015,0.00037584826,0.0011434032,0.00034028658,0.00026474698],"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":[0.0001728617,0.00007685915,0.9707435,0.000054661046,0.00007924751,0.00009455162,0.000669192,0.006647547,0.0007320036,0.010885359,0.0007737599,0.009070484],"study_design_scores_gemma":[0.000016607435,0.00003126401,0.99109745,0.000020638745,0.000014658891,0.000025595444,0.0012532402,0.0029037606,0.00018980827,0.0028822145,0.0015580971,0.000006744926],"about_ca_topic_score_codex":0.026301067,"about_ca_topic_score_gemma":0.037894014,"teacher_disagreement_score":0.026301067,"about_ca_system_score_codex":0.0012210109,"about_ca_system_score_gemma":0.00053738547,"threshold_uncertainty_score":0.052295923},"labels":[],"label_agreement":null},{"id":"W1491395962","doi":"10.1111/1467-9787.00249","title":"Towards a Better System for Immigration Control","year":2002,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Economic Policies and Impacts","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":"McMaster University; Simon Fraser University","funders":"","keywords":"Subsidy; Immigration; Opposition (politics); Normative; Economics; Emigration; Immigration policy; Pareto principle; Control (management); Politics; General equilibrium theory; International economics; Microeconomics; Market economy; Political science","score_opus":0.05113827677256572,"score_gpt":0.23206288040413425,"score_spread":0.18092460363156854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491395962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09088102,0.0003753062,0.8755609,0.0068617486,0.00023065797,0.0002086416,0.00011469615,0.0003580239,0.025409045],"genre_scores_gemma":[0.827103,0.0003638805,0.1646694,0.00076620706,0.0002496377,0.00037408018,0.00007437798,0.000102814825,0.0062966314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99566454,0.0027606129,0.00012262659,0.00056895334,0.0005318151,0.00035143376],"domain_scores_gemma":[0.994334,0.0028418025,0.00076013774,0.0009797199,0.00077660184,0.00030768805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007183272,0.0006449869,0.0010378897,0.000931936,0.0016170718,0.0041527892,0.0017542229,0.002923792,0.00884779],"category_scores_gemma":[0.012108135,0.0004433002,0.0010862966,0.0008844757,0.002993314,0.0060319607,0.0030938673,0.0027812608,0.00081469654],"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":[0.000066402696,0.00012851338,0.0009982813,0.00007926931,0.00005298013,0.000055527362,0.0002609709,0.12830953,0.0016796069,0.85738623,0.0013925346,0.009590235],"study_design_scores_gemma":[0.0002509106,0.00021614978,0.0005085398,0.000075849006,0.000037218815,0.000058497826,0.00020342057,0.5389783,0.0010328459,0.44910508,0.009476098,0.00005712377],"about_ca_topic_score_codex":0.002748367,"about_ca_topic_score_gemma":0.0018602163,"teacher_disagreement_score":0.00884779,"about_ca_system_score_codex":0.0030898505,"about_ca_system_score_gemma":0.0027366166,"threshold_uncertainty_score":0.0379892},"labels":[],"label_agreement":null},{"id":"W1496930876","doi":"10.1111/j.1467-9787.2008.00567_15.x","title":"Visualizing the Invisible: Towards an Urban Space, edited by Stephen Read and Camilo Panilla","year":2008,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Latin American Urban Studies","field":"Social Sciences","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":"Space (punctuation); Citation; Library science; Art history; History; Media studies; Sociology; Computer science","score_opus":0.0453251829915316,"score_gpt":0.3392566599647074,"score_spread":0.2939314769731758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496930876","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042010285,0.6645938,0.026434919,0.14850828,0.048147336,0.0001014864,0.00071922614,0.00068807957,0.10660584],"genre_scores_gemma":[0.08257853,0.63693285,0.037568633,0.013909227,0.022927906,0.00031183913,0.00072968,0.0021658542,0.20287551],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995684,0.00025435007,0.000016872153,0.000054832442,0.0000840633,0.000021494678],"domain_scores_gemma":[0.9985758,0.0008482984,0.000042556225,0.000051696938,0.0003253253,0.00015634665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001498605,0.0014613471,0.00087874086,0.0017990564,0.0022650075,0.010672762,0.0009682822,0.00183048,0.008774803],"category_scores_gemma":[0.002780974,0.00063032034,0.0005066741,0.0019836493,0.0038799273,0.009417571,0.003111217,0.003955441,0.002578832],"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":[0.000035648947,0.000015052047,0.000199894,0.0008897753,0.000012445617,0.000113622984,0.016464638,0.00047781353,0.0005809649,0.06771478,0.835614,0.07788132],"study_design_scores_gemma":[0.000006067971,0.000007786773,0.0002570201,0.00087575254,0.000009914229,0.00014991991,0.008766104,0.0003214492,0.00015758291,0.012753983,0.97667694,0.000017474464],"about_ca_topic_score_codex":0.01307303,"about_ca_topic_score_gemma":0.040211786,"teacher_disagreement_score":0.01307303,"about_ca_system_score_codex":0.0013336882,"about_ca_system_score_gemma":0.0022126534,"threshold_uncertainty_score":0.029354692},"labels":[],"label_agreement":null},{"id":"W1529758592","doi":"10.1111/j.1467-9787.2008.00596_12.x","title":"Integrated River Basin Management through Decentralization edited by Karin E. Kemper, William Blomquist, and Ariel Dinar","year":2008,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Water resources management and optimization","field":"Engineering","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 British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Decentralization; Citation; Unit (ring theory); The arts; History; Library science; Sociology; Operations research; Political science; Law; Computer science; Engineering; Psychology; Mathematics education","score_opus":0.013273304025668248,"score_gpt":0.1998121690091263,"score_spread":0.18653886498345804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529758592","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04957095,0.35970297,0.24119426,0.10985232,0.02873566,0.0002846946,0.001795281,0.0009677893,0.2078961],"genre_scores_gemma":[0.5070606,0.22094056,0.05261845,0.0031283782,0.009822392,0.0001787986,0.0010742514,0.0005020995,0.20467436],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99973017,0.000093571296,0.000013665307,0.00006144502,0.00007759575,0.000023550187],"domain_scores_gemma":[0.9995092,0.00020324983,0.00005064183,0.000045286426,0.00013178152,0.000059854865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013107955,0.00039451034,0.0005093631,0.0004581965,0.00032359594,0.0013555334,0.0004263174,0.0004161625,0.0061722146],"category_scores_gemma":[0.0014365735,0.00039475676,0.00024081708,0.0009141994,0.00052623777,0.001452423,0.001122044,0.0012546125,0.0007872465],"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":[0.00013209705,0.00008828105,0.0011458236,0.0005692395,0.00008058121,0.00014950837,0.0006385752,0.061785225,0.0022159498,0.17353263,0.35996598,0.39969617],"study_design_scores_gemma":[0.00006195,0.00007481659,0.0039142184,0.0005970553,0.00005006593,0.00013507839,0.00029940883,0.021403102,0.0013036082,0.097981036,0.87414443,0.000035332363],"about_ca_topic_score_codex":0.0047391797,"about_ca_topic_score_gemma":0.01125648,"teacher_disagreement_score":0.0061722146,"about_ca_system_score_codex":0.0011247692,"about_ca_system_score_gemma":0.0024147846,"threshold_uncertainty_score":0.020648122},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756575,0.00018308758,0.0026589532,0.00016454134,0.0000034224877,0.000024497478,0.018938277,0.000038625603,0.0023310422],"genre_scores_gemma":[0.9882159,0.00020460904,0.003871326,0.000019108424,0.0000028649124,0.000021350457,0.007015456,0.000007170896,0.00064229127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996623,0.00006992436,0.00005428925,0.00009984368,0.000058959933,0.00005464261],"domain_scores_gemma":[0.9970395,0.00064190367,0.0011633176,0.00042138484,0.00064298377,0.00009075453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031871887,0.00014562548,0.00024126384,0.0023555995,0.00032205804,0.0007736385,0.0002842769,0.00023172949,0.001903725],"category_scores_gemma":[0.0036235254,0.0001829314,0.00020704516,0.0069512306,0.00022341551,0.0005480747,0.0008990986,0.00021875644,0.0007769364],"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":[0.000049462116,0.000019456287,0.96469194,0.000103168946,0.00008079965,0.00013290864,0.00089846086,0.0071858736,0.0011619516,0.0013810383,0.0025364317,0.021758394],"study_design_scores_gemma":[0.000005969717,0.000027953298,0.9821638,0.00003722242,0.000034089946,0.00009331212,0.002083065,0.00665539,0.0008943072,0.0004822377,0.0075002783,0.000022505297],"about_ca_topic_score_codex":0.17257354,"about_ca_topic_score_gemma":0.24293528,"teacher_disagreement_score":0.17257354,"about_ca_system_score_codex":0.00074112864,"about_ca_system_score_gemma":0.0007417176,"threshold_uncertainty_score":0.3431381},"labels":[],"label_agreement":null},{"id":"W1592496707","doi":"10.1111/jors.12106","title":"Spatial Microsimulation for Rural Policy Analysis, edited by CathalO'Donoghue, DimitrisBallas, GrahamClarke, StephenHynes, and KarynMorrissey. 2013. Series: Advances in Spatial Science. Heidelberg, Germany and New York: Springer. 264 + xv. ISBN: 978–3–642–30025–7, $129 (cloth); ISBN: 978–3–642–30026–4, $99 (ebook).","year":2014,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","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 Saskatchewan","funders":"","keywords":"Citation; Microsimulation; Library science; Regional science; Operations research; Computer science; Sociology; Engineering","score_opus":0.03816234499456854,"score_gpt":0.3307531019252022,"score_spread":0.29259075693063363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592496707","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049473424,0.15755543,0.7860574,0.012478369,0.006328261,0.00013237691,0.0042383284,0.0014870939,0.026775433],"genre_scores_gemma":[0.13615538,0.2552365,0.51586753,0.0022481498,0.0062520173,0.001485242,0.0062146382,0.002854806,0.07368568],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995003,0.00026854183,0.0000384377,0.00007731622,0.00008726687,0.000028191118],"domain_scores_gemma":[0.9981217,0.0012502209,0.0001274849,0.0001898308,0.00023907021,0.000071718605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018591683,0.0017709689,0.0016712744,0.0014204794,0.00036156282,0.0017355401,0.0014347122,0.0012256964,0.01542999],"category_scores_gemma":[0.005051409,0.0018462129,0.0018367235,0.0022544423,0.0011813714,0.0024825907,0.0024350989,0.002398899,0.0042631463],"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":[0.00008042497,0.00009612913,0.0013953899,0.001221582,0.0003899707,0.00017720522,0.00023569098,0.2349851,0.0011386287,0.18609612,0.32727638,0.24690743],"study_design_scores_gemma":[0.000053572658,0.000081880564,0.0023539453,0.00081950217,0.00014534988,0.00031239877,0.0001840032,0.32699913,0.0007685453,0.3174129,0.35077232,0.00009645331],"about_ca_topic_score_codex":0.015472099,"about_ca_topic_score_gemma":0.01978201,"teacher_disagreement_score":0.015472099,"about_ca_system_score_codex":0.0017456332,"about_ca_system_score_gemma":0.0025956947,"threshold_uncertainty_score":0.051618516},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98483396,0.0004344321,0.002330739,0.00044468662,0.000005861106,0.00000879103,0.00020125374,0.000021727756,0.011718575],"genre_scores_gemma":[0.9994598,0.0000387423,0.00008058557,0.0000059896356,0.000002355739,0.0000012517812,0.000016869419,0.0000012305586,0.00039315812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980766,0.00006203791,0.00000782873,0.000030602932,0.00003256143,0.000059359685],"domain_scores_gemma":[0.9988606,0.00035304503,0.00036262558,0.00006621409,0.00015706728,0.00020049287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028323344,0.00013346455,0.00024489994,0.00075505907,0.0004481731,0.001319981,0.00031833534,0.0002597284,0.007779461],"category_scores_gemma":[0.0013046172,0.000114247705,0.0002520579,0.0010806014,0.001110534,0.00083854893,0.0013138027,0.00043313968,0.00021154522],"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":[0.00058665674,0.000585339,0.65521675,0.00035447354,0.00038973038,0.0012253111,0.001818895,0.06797058,0.003916886,0.2235226,0.0033412925,0.041071426],"study_design_scores_gemma":[0.00006431879,0.00026782582,0.60508364,0.00013000425,0.00017341199,0.00054363755,0.010448686,0.066834785,0.0020111233,0.30019242,0.014183936,0.00006619583],"about_ca_topic_score_codex":0.007762519,"about_ca_topic_score_gemma":0.015739858,"teacher_disagreement_score":0.007779461,"about_ca_system_score_codex":0.0010231219,"about_ca_system_score_gemma":0.00026374529,"threshold_uncertainty_score":0.026024878},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8934348,0.00025122674,0.08207415,0.0013695008,0.000027043183,0.00003928101,0.00025652722,0.00012498608,0.022422431],"genre_scores_gemma":[0.99711895,0.00005135136,0.0017156941,0.000020515396,0.0000099161425,0.000008965993,0.000032845852,0.000004096093,0.0010377788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991586,0.00036345786,0.000025988455,0.00019616769,0.000100752324,0.00015500718],"domain_scores_gemma":[0.99764085,0.0009612685,0.00051002705,0.00021772175,0.00045651625,0.00021357191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250304,0.00013811981,0.0005665343,0.0012366205,0.0008115473,0.0021880912,0.0010211851,0.00056228176,0.0055561624],"category_scores_gemma":[0.0042106765,0.00022895375,0.00031709316,0.0011992684,0.0027316164,0.0019013898,0.001562481,0.00056303554,0.00029629053],"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":[0.00007640376,0.000058366102,0.020603007,0.000043317574,0.000039453065,0.00016361124,0.0007566549,0.05789972,0.00045755252,0.90927494,0.001803772,0.008823207],"study_design_scores_gemma":[0.000101631726,0.00011088271,0.02671288,0.000049084298,0.00005500364,0.00034490143,0.0020144011,0.4376529,0.000427704,0.52518797,0.0072878897,0.000054799442],"about_ca_topic_score_codex":0.018251948,"about_ca_topic_score_gemma":0.011739006,"teacher_disagreement_score":0.018251948,"about_ca_system_score_codex":0.002396797,"about_ca_system_score_gemma":0.00065532303,"threshold_uncertainty_score":0.03629142},"labels":[],"label_agreement":null},{"id":"W1900657932","doi":"10.1111/j.1467-9787.2011.00751.x","title":"HISTORY, INSTITUTIONS, AND CITIES: A VIEW FROM THE AMERICAS*","year":2012,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":40,"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; Politics; Distribution (mathematics); Local government; Decentralization; Autonomy; Latin Americans; State (computer science); Economic geography; Political science; Geography; Economic growth; Political economy; Economics; Public administration","score_opus":0.08608772811383093,"score_gpt":0.33249635506862407,"score_spread":0.24640862695479315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1900657932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8074489,0.01603324,0.0017603863,0.026663324,0.00008480766,0.0000125443485,0.00032553624,0.000025913068,0.14764532],"genre_scores_gemma":[0.99718285,0.0016202785,0.00017077991,0.00024238114,0.000024372612,0.0000047021686,0.000029182913,0.0000038692406,0.000721726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99961334,0.00023249949,0.0000089678215,0.000052075226,0.000034008146,0.000059258],"domain_scores_gemma":[0.9990662,0.00035317056,0.0002322424,0.00009124281,0.00011687039,0.00014034013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061699067,0.00012332658,0.00018094957,0.0015510146,0.0017965826,0.0037068934,0.00031830408,0.00039405856,0.002138778],"category_scores_gemma":[0.0011846016,0.00011241233,0.00014810966,0.0024161302,0.008276434,0.0017004764,0.0014938477,0.0007502804,0.00006351135],"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":[0.000054482553,0.00007543838,0.06867299,0.0001263695,0.00004016866,0.00013615878,0.02933848,0.0028748221,0.00029701236,0.8610719,0.0057448433,0.03156741],"study_design_scores_gemma":[0.00008031149,0.00011055011,0.302877,0.00057668425,0.00007979708,0.00036678134,0.06897514,0.0041903867,0.0005462676,0.33756715,0.28456423,0.000065747925],"about_ca_topic_score_codex":0.047718305,"about_ca_topic_score_gemma":0.06628193,"teacher_disagreement_score":0.047718305,"about_ca_system_score_codex":0.005097201,"about_ca_system_score_gemma":0.0018271192,"threshold_uncertainty_score":0.09488112},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010690734,0.6832105,0.015067136,0.014949155,0.00827385,0.00013455449,0.0077864663,0.0013787232,0.26813054],"genre_scores_gemma":[0.012140197,0.6109959,0.015059743,0.0022577564,0.0017395644,0.00026268317,0.0056624613,0.0010964219,0.35078534],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912065,0.00019726311,0.00009656013,0.00017094672,0.0003404373,0.00007413653],"domain_scores_gemma":[0.9988286,0.0004878034,0.00013009374,0.00012640242,0.00030657274,0.000120418175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009217713,0.002109964,0.0019699652,0.0033354058,0.001151789,0.0057337685,0.0012884875,0.0015942021,0.085644566],"category_scores_gemma":[0.0026496511,0.0024069303,0.0007950705,0.007019652,0.0014745278,0.0052607246,0.0020675529,0.002843187,0.033691723],"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":[0.000016748667,0.000017171116,0.0003150567,0.0008981398,0.000014311816,0.000046749887,0.00029709123,0.0007492004,0.00009688095,0.019390136,0.81576663,0.1623919],"study_design_scores_gemma":[0.0000026551704,0.0000037696466,0.00040204197,0.0005452409,0.0000039791453,0.00005821538,0.00020830837,0.0000763955,0.000029254166,0.0050155465,0.99364495,0.000009561818],"about_ca_topic_score_codex":0.02833116,"about_ca_topic_score_gemma":0.051944137,"teacher_disagreement_score":0.085644566,"about_ca_system_score_codex":0.0028935445,"about_ca_system_score_gemma":0.0064253653,"threshold_uncertainty_score":0.28650963},"labels":[],"label_agreement":null},{"id":"W1971428494","doi":"10.1111/j.1467-9787.2007.00538.x","title":"SKILLS, EDUCATION, AND CANADIAN PROVINCIAL DISPARITY*","year":2007,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":21,"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; Per capita income; Demographic economics; Per capita; Literacy; Variable (mathematics); Labour economics; Economic growth; Demography; Sociology","score_opus":0.015457634231138209,"score_gpt":0.22681446320484247,"score_spread":0.21135682897370425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971428494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94670945,0.0004930152,0.00069413066,0.0009844233,0.000022483357,0.000034055833,0.037874375,0.00005717776,0.013130833],"genre_scores_gemma":[0.988447,0.00012584783,0.00030467333,0.000046314053,0.0000032002931,0.000008956862,0.00957,0.0000062488384,0.0014876991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933666,0.0000428623,0.000027028067,0.00010662857,0.0002564518,0.00023031332],"domain_scores_gemma":[0.9978892,0.00023352254,0.00042791304,0.000121633806,0.001065584,0.00026205613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095409335,0.00019745425,0.00023021811,0.0018470224,0.0011280301,0.0009394004,0.0005674468,0.00021678969,0.0034280643],"category_scores_gemma":[0.005604065,0.0001401884,0.0003909097,0.003589461,0.0004428711,0.00027790217,0.0006267716,0.00039340623,0.00024252632],"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":[0.00007506407,0.000025451656,0.9698287,0.000048747766,0.00007875992,0.000065451626,0.00052195403,0.006681012,0.00014178558,0.0034516663,0.006557434,0.012523959],"study_design_scores_gemma":[0.000010016102,0.000010098888,0.9857891,0.00002657241,0.000016298709,0.000031008225,0.00045433792,0.0054756496,0.00018550364,0.00036406514,0.007623306,0.000014074678],"about_ca_topic_score_codex":0.9916848,"about_ca_topic_score_gemma":0.9931179,"teacher_disagreement_score":0.016296484,"about_ca_system_score_codex":0.016296484,"about_ca_system_score_gemma":0.020584494,"threshold_uncertainty_score":0.11823982},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99008876,0.00033317643,0.0053860224,0.00040225827,0.000016104375,0.000043518656,0.0008236343,0.0000322762,0.002874321],"genre_scores_gemma":[0.9982973,0.0000616574,0.0005464442,0.000013781315,0.000009678978,0.0000082576735,0.00023015848,0.000002435067,0.00083027437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922264,0.00022405665,0.00003412182,0.000119373166,0.00014352895,0.0002563042],"domain_scores_gemma":[0.9931759,0.0026142227,0.0018632519,0.0005753341,0.0005154493,0.0012558793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013280837,0.00043928038,0.00050988625,0.0015627972,0.00090890797,0.001888324,0.0009678695,0.0005804866,0.0056152577],"category_scores_gemma":[0.008087351,0.00023466058,0.00071073975,0.0024336271,0.0011644508,0.001069299,0.001237889,0.0006890912,0.00040614814],"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":[0.0001825936,0.0001282552,0.9480091,0.000041715593,0.00017853828,0.00030425057,0.00021000867,0.033131596,0.00021937577,0.0041310536,0.0012271324,0.012236458],"study_design_scores_gemma":[0.000042559153,0.00016303283,0.8361958,0.000087885724,0.00019411839,0.00016302211,0.0015620128,0.14590444,0.0005476891,0.011521801,0.0035592853,0.00005826296],"about_ca_topic_score_codex":0.40430006,"about_ca_topic_score_gemma":0.44054568,"teacher_disagreement_score":0.40430006,"about_ca_system_score_codex":0.0024819176,"about_ca_system_score_gemma":0.0031650928,"threshold_uncertainty_score":0.80389357},"labels":[],"label_agreement":null},{"id":"W1978959552","doi":"10.1111/0022-4146.00229","title":"The State of the Art in Modeling Migration in the LDCS: A Comment","year":2001,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Migration and Labor Dynamics","field":"Social Sciences","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":"University of Lethbridge","funders":"","keywords":"Citation; State (computer science); Library science; History; Computer science; Algorithm","score_opus":0.036463451143503404,"score_gpt":0.3257524569186383,"score_spread":0.2892890057751349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978959552","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011781626,0.0011647486,0.003402572,0.9870668,0.0042074737,0.000011589104,0.00037834668,0.00006745109,0.002522891],"genre_scores_gemma":[0.07085869,0.004770493,0.00999822,0.8808463,0.025916893,0.00023317618,0.00039560904,0.00030765112,0.0066729276],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9834562,0.00726208,0.0011708923,0.003730803,0.003507311,0.0008728211],"domain_scores_gemma":[0.8087585,0.16248153,0.0044678086,0.0056415843,0.015585243,0.0030654105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029868394,0.0012808345,0.0020137413,0.0012229122,0.0042228163,0.006822853,0.011610837,0.029381733,0.0132556325],"category_scores_gemma":[0.16497213,0.0012301543,0.0029905788,0.0030792844,0.009387551,0.017438693,0.00849729,0.03634988,0.00536555],"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":[0.00016644776,0.00006726118,0.0040963218,0.000685592,0.00020422276,0.0002874572,0.0023881707,0.009986619,0.0002712393,0.18733299,0.7768096,0.017704137],"study_design_scores_gemma":[0.00033108259,0.00012587204,0.003971067,0.0027824517,0.00029190513,0.00042709077,0.0060760337,0.03854299,0.0012296642,0.400608,0.54513496,0.00047880755],"about_ca_topic_score_codex":0.10456697,"about_ca_topic_score_gemma":0.057520933,"teacher_disagreement_score":0.10456697,"about_ca_system_score_codex":0.00645757,"about_ca_system_score_gemma":0.00896205,"threshold_uncertainty_score":0.20791662},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36779514,0.0025868802,0.47239333,0.0019685314,0.00038945026,0.005161836,0.10325318,0.0026938794,0.04375782],"genre_scores_gemma":[0.55841875,0.001356035,0.37781098,0.00046375042,0.000053937107,0.004348119,0.03931815,0.00034537233,0.017884936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99705064,0.0006942154,0.00022177352,0.00039846054,0.0011072825,0.0005276092],"domain_scores_gemma":[0.9948555,0.0009701987,0.0007263494,0.00049678574,0.002770781,0.00018029576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004599185,0.00072752225,0.0007538505,0.00902212,0.0023987817,0.001462727,0.002085583,0.00061847223,0.0057835793],"category_scores_gemma":[0.017580679,0.0005673644,0.0022606968,0.01363554,0.0006497713,0.0005336623,0.0013153119,0.0011570008,0.00060179894],"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":[0.00020872621,0.00016576053,0.44849032,0.000508452,0.0016232253,0.000389341,0.0020410519,0.104140684,0.001878364,0.090212815,0.06879504,0.2815463],"study_design_scores_gemma":[0.00023702982,0.000121528115,0.7375485,0.0003048905,0.0004235073,0.00029132928,0.0024175,0.10705522,0.0041967407,0.017492149,0.12960222,0.00030945547],"about_ca_topic_score_codex":0.9834765,"about_ca_topic_score_gemma":0.982898,"teacher_disagreement_score":0.019780604,"about_ca_system_score_codex":0.019780604,"about_ca_system_score_gemma":0.037316024,"threshold_uncertainty_score":0.14351898},"labels":[],"label_agreement":null},{"id":"W1984879725","doi":"10.1111/j.1467-9787.2012.00768_10.x","title":"Envisioning Landscapes, Making Worlds: Geography and the Humanities, edited by Stephen Daniels, Dydia DeLyser, J. Nicholas Entrikin, and Douglas Richardson","year":2012,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Philippine History and Culture","field":"Social Sciences","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":"Geographer; Prologue; Art history; Cultural geography; Sociology; Humanities; Human geography; Art; Cartography; History; Geography; Social science; Archaeology","score_opus":0.018791637488310687,"score_gpt":0.2732416021373221,"score_spread":0.25444996464901143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984879725","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017935924,0.67140424,0.006035657,0.07211559,0.009985573,0.00006470996,0.00060915144,0.0002674751,0.237724],"genre_scores_gemma":[0.045678876,0.6145593,0.008484039,0.011205705,0.003671838,0.00020358112,0.0009688305,0.0003875832,0.31484017],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999166,0.0003933549,0.00003579705,0.000119807766,0.0002133972,0.00007149356],"domain_scores_gemma":[0.9990219,0.00044320794,0.000087329565,0.000077884215,0.00018332113,0.00018645324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011541926,0.0012326456,0.00063877064,0.0016244884,0.002330885,0.010185971,0.0009041701,0.002074106,0.020064676],"category_scores_gemma":[0.0032233759,0.00085968914,0.0004921,0.0031525074,0.006036159,0.01154096,0.0033342899,0.003689858,0.0076296604],"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":[0.000017115268,0.000018028688,0.00039983122,0.0007182073,0.0000107969345,0.0001040299,0.008848164,0.0002571776,0.00018231578,0.11437231,0.7680561,0.10701596],"study_design_scores_gemma":[0.000002771303,0.0000041228977,0.00043618554,0.0007575952,0.000003047099,0.00012096839,0.004901517,0.000029655552,0.000036706355,0.02296866,0.9707301,0.000008682878],"about_ca_topic_score_codex":0.024908552,"about_ca_topic_score_gemma":0.051770687,"teacher_disagreement_score":0.024908552,"about_ca_system_score_codex":0.004246117,"about_ca_system_score_gemma":0.009727368,"threshold_uncertainty_score":0.067123055},"labels":[],"label_agreement":null},{"id":"W1995130022","doi":"10.1111/j.1467-9787.2010.00696_7.x","title":"Global Catastrophes and Trends: The Next Fifty Years by Vaclav Smil","year":2010,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Science and Climate Studies","field":"Environmental Science","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":"China; Warrant; History; Global warming; Political science; Climate change; Operations research; Law; Economics; Engineering; Oceanography","score_opus":0.015542293064001619,"score_gpt":0.2645593469314397,"score_spread":0.24901705386743805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995130022","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018426084,0.76623076,0.0011643994,0.14754415,0.0326027,0.000039490573,0.0004663049,0.00023185341,0.049877763],"genre_scores_gemma":[0.043504972,0.6552871,0.0030809024,0.04651694,0.03000715,0.00016447665,0.0011541808,0.00052183034,0.21976246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914324,0.00022669292,0.0000471591,0.000111438545,0.0003599516,0.00011145013],"domain_scores_gemma":[0.99840385,0.00059901964,0.00015002572,0.00006119846,0.0004682801,0.00031760475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012338932,0.0016356775,0.0007973596,0.0029445442,0.0024699948,0.0065702377,0.0010060171,0.0021762487,0.011338509],"category_scores_gemma":[0.0035581782,0.000646809,0.000704163,0.003675782,0.0025631653,0.009193807,0.004073752,0.0060561066,0.005022982],"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":[0.000007884311,0.000010422817,0.00021953051,0.00021141842,0.0000071333848,0.00005411333,0.0013257635,0.00015485073,0.000032789827,0.0062027457,0.9571337,0.034639698],"study_design_scores_gemma":[0.0000017259088,0.000010666466,0.00064148346,0.00085048634,0.0000039357114,0.00014769548,0.0015812339,0.000090806,0.000021625368,0.003377292,0.99325985,0.000013192472],"about_ca_topic_score_codex":0.014299553,"about_ca_topic_score_gemma":0.021212986,"teacher_disagreement_score":0.014299553,"about_ca_system_score_codex":0.0033028398,"about_ca_system_score_gemma":0.003295591,"threshold_uncertainty_score":0.037931085},"labels":[],"label_agreement":null},{"id":"W2002617243","doi":"10.1111/j.1467-9787.2008.00563.x","title":"THE POLITICAL TRADE‐OFF BETWEEN ENVIRONMENTAL STRINGENCY AND ECONOMIC DEVELOPMENT IN RURAL AMERICA*","year":2008,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Energy, Environment, Economic Growth","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 Saskatchewan","funders":"","keywords":"Environmental quality; Politics; Economics; Per capita income; Per capita; State (computer science); Livestock; Environmental pollution; International trade; Natural resource economics; Environmental protection; Geography; Political science","score_opus":0.027959056834337942,"score_gpt":0.21196736674413136,"score_spread":0.18400830990979342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002617243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920351,0.00016526924,0.00046869484,0.0012083097,0.0000029225257,0.0000044720377,0.00008109766,0.000004401059,0.0060296566],"genre_scores_gemma":[0.99964154,0.000064563304,0.000031809235,0.0000443823,0.0000055830906,0.0000014722206,0.000020662927,5.620816e-7,0.00018949498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953425,0.00022420156,0.000014295063,0.000053223444,0.000054432003,0.00011958317],"domain_scores_gemma":[0.99543923,0.001981158,0.0019203151,0.0000962236,0.00024635473,0.00031667133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054243,0.00009787645,0.00017058334,0.00044326534,0.0003511325,0.0012060112,0.00013336798,0.00033959548,0.0035150626],"category_scores_gemma":[0.0030841804,0.000110525776,0.00014656511,0.0007574416,0.0011316808,0.00046266662,0.00056451245,0.0005165046,0.000119802666],"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":[0.00022113159,0.0002170757,0.9141501,0.000064212334,0.00015140604,0.00035399938,0.0004836764,0.023758588,0.0027478114,0.04399346,0.0016035103,0.0122550335],"study_design_scores_gemma":[0.00005374318,0.0001483287,0.960569,0.000022068843,0.000061886174,0.00009278809,0.0012643447,0.014502705,0.0007350528,0.019384364,0.0031478812,0.000017896831],"about_ca_topic_score_codex":0.009322159,"about_ca_topic_score_gemma":0.012888129,"teacher_disagreement_score":0.009322159,"about_ca_system_score_codex":0.0010691147,"about_ca_system_score_gemma":0.00054184475,"threshold_uncertainty_score":0.018535793},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817023,0.00041487115,0.01438725,0.00041463104,0.000011959317,0.00005164664,0.00065860327,0.000070627466,0.0022880966],"genre_scores_gemma":[0.99754673,0.0000591848,0.0017074028,0.000047472582,0.000007953555,0.000012856473,0.00031818758,0.000015412355,0.0002846753],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99315625,0.0040155924,0.0003597117,0.00094741635,0.0010013623,0.0005196535],"domain_scores_gemma":[0.85179776,0.123155706,0.012978048,0.008389893,0.0028089064,0.00086980674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0151240425,0.0005325792,0.00077836815,0.0016404229,0.0006548058,0.0021403295,0.0012466076,0.00079525844,0.0029965092],"category_scores_gemma":[0.07081649,0.00042172463,0.0011333978,0.0022080862,0.0016820311,0.0018070972,0.0024159888,0.0014526388,0.00046013808],"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":[0.00048409283,0.000114349175,0.941864,0.000074175405,0.00083588157,0.00034876578,0.000856707,0.03191045,0.0007283711,0.0047560786,0.001033721,0.016993444],"study_design_scores_gemma":[0.000111527,0.00031730963,0.8728864,0.000048118225,0.00048775008,0.0003976009,0.0021417718,0.10705488,0.0023082863,0.012441001,0.001721965,0.00008344531],"about_ca_topic_score_codex":0.041372027,"about_ca_topic_score_gemma":0.023132363,"teacher_disagreement_score":0.041372027,"about_ca_system_score_codex":0.0010125228,"about_ca_system_score_gemma":0.0008813252,"threshold_uncertainty_score":0.08226246},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903289,0.00033960724,0.0006820429,0.00058544916,0.000013272039,0.000021922124,0.000045517485,0.000011129474,0.007972083],"genre_scores_gemma":[0.9994754,0.00007461974,0.000097184944,0.00002829368,0.000010376294,0.000002060103,0.0000087112985,0.0000011050221,0.00030222756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988864,0.0005869381,0.000049853727,0.00012686152,0.000136864,0.00021314266],"domain_scores_gemma":[0.9867551,0.0061952984,0.0038648217,0.0007165515,0.00096219254,0.0015060192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016722708,0.00022816313,0.00044171078,0.001407343,0.0010405118,0.0017360077,0.00045895472,0.0007069356,0.0038759764],"category_scores_gemma":[0.01243001,0.00018285605,0.00026600066,0.00094195607,0.0012911574,0.000743907,0.0014160265,0.0005017861,0.0003059078],"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":[0.0006485066,0.0003576013,0.8870217,0.00018721937,0.00034833513,0.0009905609,0.0030657672,0.011817793,0.002493389,0.029369276,0.0022768457,0.061423063],"study_design_scores_gemma":[0.000112665526,0.00042848106,0.9312809,0.00018714293,0.00042001318,0.00057165604,0.008714445,0.029058803,0.0016131052,0.023042222,0.0044810018,0.00008955851],"about_ca_topic_score_codex":0.010101572,"about_ca_topic_score_gemma":0.010190799,"teacher_disagreement_score":0.010101572,"about_ca_system_score_codex":0.00077133544,"about_ca_system_score_gemma":0.0006205927,"threshold_uncertainty_score":0.020085514},"labels":[],"label_agreement":null},{"id":"W2022007594","doi":"10.1111/j.1467-9787.2010.00709_14.x","title":"Beyond Walls: Re-Inventing the Canada-United States Borderlands, by Victor Konrad and Heather N. Nicol","year":2010,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Canadian Identity and History","field":"Social Sciences","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":"Citation; Library science; History; Computer science","score_opus":0.00898042685987208,"score_gpt":0.2408064551902332,"score_spread":0.23182602833036112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022007594","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054807693,0.101469114,0.001807573,0.56586283,0.0077365404,0.000034600325,0.0003441021,0.00011816536,0.2678194],"genre_scores_gemma":[0.6607034,0.07342597,0.0035393562,0.06315072,0.0014682772,0.000058127644,0.00026389144,0.00035478352,0.19703543],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873835,0.00031682372,0.000024158264,0.000101602964,0.00033612558,0.0004829156],"domain_scores_gemma":[0.99781907,0.0005354245,0.000076953394,0.000113698414,0.00065657386,0.0007982889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024456042,0.00044366336,0.00041885878,0.0013652964,0.027763769,0.01712973,0.0014049829,0.0035324588,0.0072614504],"category_scores_gemma":[0.0053950096,0.0003282912,0.00027027266,0.0027442805,0.02003794,0.009368666,0.0045963805,0.0058656055,0.00070254185],"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":[0.000043611373,0.000015119022,0.002227757,0.00010384618,0.000009585457,0.00036326927,0.08136592,0.00023848513,0.0001940796,0.40686288,0.44970876,0.05886662],"study_design_scores_gemma":[0.00000496149,0.0000037360037,0.0016219612,0.00031513366,0.0000071410986,0.000061901424,0.0666131,0.00008605119,0.000112314236,0.012506448,0.91864616,0.000021158578],"about_ca_topic_score_codex":0.9262281,"about_ca_topic_score_gemma":0.9808022,"teacher_disagreement_score":0.073771894,"about_ca_system_score_codex":0.039727543,"about_ca_system_score_gemma":0.09183983,"threshold_uncertainty_score":0.28824484},"labels":[],"label_agreement":null},{"id":"W2047255512","doi":"10.1111/j.0022-4146.2004.00346.x","title":"Location and Pricing Decisions of a MultiStore Monopoly in a Spatial Market","year":2004,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":28,"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":"Monopoly; Space (punctuation); Artifact (error); Focus (optics); Economics; Microeconomics; Econometrics; Computer science; Industrial organization; Mathematical economics","score_opus":0.025851333824600878,"score_gpt":0.2631303240663217,"score_spread":0.23727899024172083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047255512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541987,0.000255539,0.038719486,0.00059414795,0.000013788548,0.000027743321,0.00011283293,0.000032028744,0.006045756],"genre_scores_gemma":[0.9959455,0.00007423066,0.0018881976,0.000014790253,0.000005319025,0.000007895163,0.000019764631,0.0000060766497,0.002038256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995815,0.00019044342,0.000013289788,0.00007898038,0.00005082762,0.000084820254],"domain_scores_gemma":[0.99837995,0.0010328245,0.00024853853,0.00007420234,0.00012522918,0.00013928552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010097976,0.0003161161,0.00066553423,0.00043271808,0.0004918674,0.0022052126,0.0009119966,0.0015761738,0.0062109497],"category_scores_gemma":[0.0028979091,0.0006047045,0.0005831187,0.0007790345,0.001377728,0.0029188015,0.0007773749,0.0008177957,0.00031573325],"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":[0.0004520013,0.00014828856,0.0065140473,0.00010087849,0.00011350244,0.00078420487,0.000254647,0.8520502,0.0047334125,0.12694749,0.00073656096,0.007164659],"study_design_scores_gemma":[0.00004432543,0.00010308576,0.0022355549,0.000008576624,0.000033821816,0.00009457327,0.00029578607,0.9776715,0.0004907344,0.018557595,0.00044254365,0.000021862697],"about_ca_topic_score_codex":0.008534625,"about_ca_topic_score_gemma":0.0068625,"teacher_disagreement_score":0.008534625,"about_ca_system_score_codex":0.0017341916,"about_ca_system_score_gemma":0.0006748668,"threshold_uncertainty_score":0.020777702},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65847766,0.01000555,0.0024889093,0.01663338,0.00012307354,0.000028657825,0.0011463596,0.000058033347,0.31103835],"genre_scores_gemma":[0.9939516,0.0016096287,0.00050509424,0.00034867795,0.000014219804,0.0000035288574,0.000098829725,0.0000094750885,0.0034588813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99875903,0.0002105589,0.000033413864,0.00011404889,0.00036145735,0.000521406],"domain_scores_gemma":[0.9977582,0.0003551824,0.0002173345,0.00007632018,0.0012954235,0.00029759156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010527666,0.00018335941,0.00031315934,0.0015319911,0.0024082176,0.0035785981,0.0005294492,0.0003064867,0.006260467],"category_scores_gemma":[0.0045461976,0.00008995487,0.00031633765,0.0035813418,0.0021768971,0.0006469896,0.00097540393,0.0006938524,0.00011889471],"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":[0.0005314938,0.000037538237,0.1432358,0.0002495552,0.00014554948,0.0010284462,0.0061310944,0.016019031,0.002445464,0.7183994,0.017113268,0.094663456],"study_design_scores_gemma":[0.0000573884,0.00010485063,0.6405536,0.0006620621,0.000298048,0.00055779563,0.028808942,0.009591673,0.0025369402,0.058207344,0.25844494,0.00017639286],"about_ca_topic_score_codex":0.9631186,"about_ca_topic_score_gemma":0.9755584,"teacher_disagreement_score":0.036881387,"about_ca_system_score_codex":0.03272574,"about_ca_system_score_gemma":0.023199642,"threshold_uncertainty_score":0.23744297},"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":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0448954,0.08504818,0.0013540857,0.80705136,0.005571774,0.000015437754,0.0011496515,0.00003594407,0.05487804],"genre_scores_gemma":[0.72908807,0.1397387,0.0031328176,0.04335076,0.009826842,0.00004613925,0.00055730424,0.00020509373,0.07405423],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99965966,0.00011002905,0.00001424662,0.000088580375,0.00007612613,0.000051281986],"domain_scores_gemma":[0.9967481,0.0017832256,0.00030437546,0.00010819926,0.00070892356,0.00034713792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084804645,0.00034615706,0.00032166246,0.001475799,0.0015453346,0.003542586,0.00059689797,0.0011654451,0.0035434277],"category_scores_gemma":[0.0063996594,0.00034283704,0.00030091085,0.0036395434,0.002218145,0.0046878434,0.0018300279,0.0033748478,0.0004976663],"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":[0.000050884653,0.000033442433,0.02109901,0.0001540388,0.000056802925,0.00014734428,0.0031042434,0.003359203,0.00011663376,0.18951029,0.73297054,0.049397666],"study_design_scores_gemma":[0.000014917785,0.000015109832,0.027426302,0.0006988735,0.000045245215,0.00016811246,0.007301442,0.003337072,0.00020576149,0.10232906,0.85836524,0.000092883645],"about_ca_topic_score_codex":0.09420708,"about_ca_topic_score_gemma":0.1619109,"teacher_disagreement_score":0.09420708,"about_ca_system_score_codex":0.0035185048,"about_ca_system_score_gemma":0.0020110388,"threshold_uncertainty_score":0.18731749},"labels":[],"label_agreement":null},{"id":"W2083304881","doi":"10.1111/j.1467-9787.2006.00473.x","title":"SPACE, TRUST, AND COMMUNAL ACTION: RESULTS FROM FIELD EXPERIMENTS IN SOUTHEAST ASIA*","year":2006,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","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":"Space (punctuation); Southeast asia; Action (physics); Politics; Field (mathematics); Geography; Economic geography; Economy; Development economics; Political science; Sociology; Economics; Ethnology; Law; Computer science","score_opus":0.05481704511798856,"score_gpt":0.35566356253416886,"score_spread":0.3008465174161803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083304881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994742,0.000008646308,0.00008552583,0.000017516497,0.0000010917742,0.000028621951,0.000014074741,8.1593123e-7,0.0003694908],"genre_scores_gemma":[0.9993357,0.000019938583,0.00032866033,0.00001905269,0.000001175807,0.00010654745,0.000026440943,0.0000012935137,0.00016107237],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9957722,0.0032641934,0.0001989563,0.00029636006,0.0002807077,0.00018761988],"domain_scores_gemma":[0.9450489,0.04210024,0.0055874665,0.0036365693,0.0020981524,0.0015286774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01051083,0.0003888384,0.00052838295,0.0005217004,0.0015988636,0.0015623904,0.0007536695,0.00055181055,0.002175078],"category_scores_gemma":[0.016057676,0.00045703875,0.0003602557,0.0006373009,0.002918578,0.0013160614,0.0015346302,0.0010453454,0.00015614323],"study_design_candidate":"nonrandomized_trial","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":[0.0053085443,0.01954831,0.7110257,0.0006124641,0.0004930946,0.00060564856,0.21087737,0.0020104689,0.012593493,0.0033847247,0.0012532753,0.03228686],"study_design_scores_gemma":[0.0008628316,0.015851604,0.7588811,0.00024119715,0.0003525012,0.00017116852,0.2026929,0.007843886,0.0067114066,0.0026583725,0.003580351,0.00015263354],"about_ca_topic_score_codex":0.019033073,"about_ca_topic_score_gemma":0.028017536,"teacher_disagreement_score":0.019033073,"about_ca_system_score_codex":0.0012444395,"about_ca_system_score_gemma":0.00094515964,"threshold_uncertainty_score":0.055587232},"labels":[],"label_agreement":null},{"id":"W2092313483","doi":"10.1111/j.0022-4146.2005.00394.x","title":"Explaining Regional Variations in Entrepreneurship as Multiple Occupational Equilibria*","year":2005,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","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":"Western University","funders":"","keywords":"Entrepreneurship; Human capital; Economics; Productivity; Capital (architecture); Labour economics; Economic geography; Macroeconomics; Economic growth; Finance; Geography","score_opus":0.05136980745953129,"score_gpt":0.29163294354246816,"score_spread":0.24026313608293687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092313483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88069636,0.00033798706,0.08354626,0.0014372035,0.000022733759,0.000057945046,0.00019436472,0.000076107135,0.033631075],"genre_scores_gemma":[0.9971334,0.000046451598,0.0011879249,0.000020695144,0.0000042121915,0.000009675406,0.000015143159,0.0000044626186,0.0015780573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99944633,0.00019534754,0.000016879492,0.00010983941,0.000054876906,0.00017662728],"domain_scores_gemma":[0.99818426,0.0007802018,0.00044210316,0.00018324814,0.00014392998,0.0002661692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013376711,0.00019544142,0.0005105226,0.0005556221,0.0006845871,0.0023157848,0.0006785069,0.0008219014,0.0075721513],"category_scores_gemma":[0.004126417,0.00023011057,0.00068682566,0.0006490218,0.0015384445,0.0017104963,0.0016058581,0.00069695164,0.0006805683],"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":[0.00022960397,0.00015548817,0.07196518,0.00010071983,0.00013434954,0.0010144186,0.0014525768,0.261191,0.0017329328,0.63986886,0.002348266,0.019806577],"study_design_scores_gemma":[0.00008085113,0.00007682278,0.022617131,0.000044180575,0.000057162084,0.0003154258,0.0011903096,0.40876272,0.00051373756,0.56241006,0.0038924466,0.000039115883],"about_ca_topic_score_codex":0.004341104,"about_ca_topic_score_gemma":0.005095661,"teacher_disagreement_score":0.0075721513,"about_ca_system_score_codex":0.0013821404,"about_ca_system_score_gemma":0.00049966073,"threshold_uncertainty_score":0.025331318},"labels":[],"label_agreement":null},{"id":"W2093117924","doi":"10.1111/j.1467-9787.2009.00645.x","title":"THE FUTURE OF SPATIAL ECONOMETRICS","year":2010,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":179,"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":"Spatial econometrics; Econometrics; Extension (predicate logic); Spatial analysis; Computer science; Economics; Mathematics; Statistics","score_opus":0.031223694787719372,"score_gpt":0.22804920658459166,"score_spread":0.1968255117968723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093117924","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01114933,0.2866816,0.26835904,0.37026328,0.0048665307,0.000049251496,0.0007229666,0.00051372556,0.05739423],"genre_scores_gemma":[0.55805635,0.26842603,0.117047444,0.018514141,0.018027939,0.0001861712,0.00048340418,0.00029299568,0.01896546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9909821,0.007017695,0.00018320217,0.00055463286,0.0010056506,0.0002567173],"domain_scores_gemma":[0.9065395,0.07795672,0.0018146235,0.0043275743,0.008019539,0.0013419739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023738287,0.00064129476,0.0014105231,0.0035295964,0.0009939764,0.005477407,0.0014891635,0.0034864794,0.009560745],"category_scores_gemma":[0.050986473,0.0004205953,0.0010779996,0.0041248165,0.009238842,0.008690343,0.0026274533,0.0049455147,0.0016579815],"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":[0.000027694525,0.000024830277,0.0021428068,0.00027561217,0.00005079221,0.00005771715,0.00022916419,0.0072093694,0.00005487754,0.87301797,0.016857594,0.100051545],"study_design_scores_gemma":[0.000009257498,0.000014664801,0.0010294486,0.00023093392,0.000012610722,0.000044553533,0.00029404688,0.011848367,0.00004573501,0.9114798,0.074970394,0.000020189733],"about_ca_topic_score_codex":0.008746025,"about_ca_topic_score_gemma":0.0041250573,"teacher_disagreement_score":0.023738287,"about_ca_system_score_codex":0.0040024044,"about_ca_system_score_gemma":0.004160797,"threshold_uncertainty_score":0.12554151},"labels":[],"label_agreement":null},{"id":"W2107547047","doi":"10.1111/j.0022-4146.2005.00366.x","title":"The Location Choice of Employment-based Immigrants among U.S. Metro Areas*","year":2005,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Migration and Labor Dynamics","field":"Social Sciences","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":"Immigration; Naturalization; Multinomial logistic regression; Demographic economics; Metropolitan area; Marital status; Geography; Economics; Census; Sociology; Demography; Population","score_opus":0.024134476072188393,"score_gpt":0.325416264280323,"score_spread":0.3012817882081346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107547047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99955314,0.000027985487,0.00004132797,0.000041802974,0.0000013799013,0.0000018490549,0.00007328314,6.5511466e-7,0.00025844396],"genre_scores_gemma":[0.99916613,0.000045753353,0.00006970608,0.000018667435,0.0000016377875,0.0000037422922,0.00016599165,5.224205e-7,0.00052783085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982846,0.000080108475,0.000008938635,0.000024811976,0.000019915034,0.000037699294],"domain_scores_gemma":[0.99924624,0.0001893863,0.00029314516,0.000033677516,0.000107755724,0.00012979686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004901801,0.00014898858,0.00015655543,0.00041483916,0.0005239412,0.0007576438,0.00020098481,0.00028282896,0.002656687],"category_scores_gemma":[0.0018182452,0.00011490587,0.00023030989,0.0004764337,0.00028892307,0.00034027325,0.00058596843,0.00029660424,0.00051174033],"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":[0.00008032486,0.0000758696,0.99355835,0.0000103105185,0.0000262454,0.00009114316,0.0008009072,0.0004440074,0.00023226171,0.0001510847,0.00037205598,0.004157456],"study_design_scores_gemma":[0.000015466494,0.00013699685,0.98309016,0.000040995554,0.00002893183,0.00015722292,0.0106480215,0.004236831,0.000255946,0.00027490233,0.0010975348,0.000017014472],"about_ca_topic_score_codex":0.040951394,"about_ca_topic_score_gemma":0.10833499,"teacher_disagreement_score":0.040951394,"about_ca_system_score_codex":0.00034213165,"about_ca_system_score_gemma":0.0003136634,"threshold_uncertainty_score":0.081426084},"labels":[],"label_agreement":null},{"id":"W2108528580","doi":"10.1111/jors.12197","title":"THE URBAN–RURAL GAP IN UNIVERSITY ATTENDANCE: DETERMINANTS OF UNIVERSITY PARTICIPATION AMONG CANADIAN YOUTH","year":2015,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":21,"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; McMaster University","funders":"","keywords":"Attendance; Incentive; Demographic economics; Work (physics); Immigration; Survey data collection; Hierarchy; Geography; Economic growth; Sociology; Socioeconomics; Political science; Economics","score_opus":0.08766928659882173,"score_gpt":0.30311113810485313,"score_spread":0.2154418515060314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108528580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99623674,0.00023015156,0.00004321975,0.00032930137,0.000005916807,0.000013680151,0.0006427018,0.00000382407,0.00249439],"genre_scores_gemma":[0.9992471,0.00012829629,0.000030440218,0.000026616042,0.0000022892782,0.0000036899448,0.00016868491,0.000001993051,0.00039092542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915934,0.00008070121,0.00003072581,0.00009703818,0.00019509226,0.0004371237],"domain_scores_gemma":[0.9981698,0.0001561828,0.00033564825,0.000047605907,0.00043638147,0.00085435354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000972669,0.00018431632,0.0002396263,0.001934296,0.0031989294,0.001810978,0.0010167903,0.00034388324,0.00397717],"category_scores_gemma":[0.0022497997,0.00015026134,0.00036446095,0.003480188,0.0008633959,0.00037810227,0.0010756827,0.0005885496,0.00020641834],"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":[0.00004248477,0.000054682165,0.9855284,0.000028247545,0.00001862965,0.000069044945,0.0055400264,0.00007435682,0.0001579305,0.00064660294,0.00095004874,0.0068894224],"study_design_scores_gemma":[0.0000018281596,0.0000123261225,0.9842312,0.000042260013,0.000010111825,0.000030114777,0.01425321,0.00017779545,0.00005027406,0.00006132749,0.0011222111,0.000007402133],"about_ca_topic_score_codex":0.9746143,"about_ca_topic_score_gemma":0.98738897,"teacher_disagreement_score":0.99017847,"about_ca_system_score_codex":0.009821519,"about_ca_system_score_gemma":0.014144125,"threshold_uncertainty_score":0.07126045},"labels":[],"label_agreement":null},{"id":"W2111210275","doi":"10.1111/1467-9787.00247","title":"On the Rank‐Size Distribution for Human Settlements","year":2002,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":170,"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 Victoria","funders":"","keywords":"Log-normal distribution; Rank (graph theory); Mathematics; Settlement (finance); Pareto principle; Pareto distribution; Distribution (mathematics); Parametric statistics; Econometrics; Statistics; Statistical physics; Economics; Combinatorics; Physics; Mathematical analysis","score_opus":0.07122250195528586,"score_gpt":0.251759584303078,"score_spread":0.18053708234779214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111210275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50140166,0.0015814691,0.4504831,0.0045940825,0.00012214942,0.0001332633,0.0015038626,0.0011117345,0.039068684],"genre_scores_gemma":[0.9861736,0.000603661,0.006368648,0.0001349609,0.00012321667,0.00007094692,0.00041566754,0.00009807617,0.006011135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989874,0.0003030293,0.000033074524,0.00019168676,0.00025734073,0.00022747503],"domain_scores_gemma":[0.98920643,0.0067123217,0.0012778881,0.001173487,0.0011616752,0.00046815537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029386338,0.0005377731,0.00068194314,0.0023782256,0.00066846854,0.0021960177,0.0014649999,0.0014407542,0.011137038],"category_scores_gemma":[0.02230629,0.00042646046,0.0008743106,0.0015950834,0.0031724882,0.0027390278,0.0012808979,0.0013361743,0.0019496443],"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":[0.000115616975,0.000060109112,0.018445244,0.00010032503,0.00003512177,0.00055271806,0.0007605917,0.13763253,0.0017025735,0.80458677,0.008874461,0.027133955],"study_design_scores_gemma":[0.000050358012,0.000081762046,0.016280934,0.00006194312,0.000017927863,0.0008149752,0.0004533382,0.41444328,0.00054122775,0.5615808,0.005583099,0.000090480156],"about_ca_topic_score_codex":0.004176608,"about_ca_topic_score_gemma":0.0023462744,"teacher_disagreement_score":0.011137038,"about_ca_system_score_codex":0.0018514477,"about_ca_system_score_gemma":0.00052791525,"threshold_uncertainty_score":0.037257135},"labels":[],"label_agreement":null},{"id":"W2112677345","doi":"10.1111/j.1365-2966.2007.00548.x","title":"DETECTION OF LOCAL INTERACTIONS FROM THE SPATIAL PATTERN OF NAMES IN FRANCE*","year":2008,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","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 British Columbia","funders":"","keywords":"Explanatory power; Geography; Arabic; Class (philosophy); Economic geography; Social class; Cartography; Genealogy; Linguistics; History; Computer science; Artificial intelligence; Economics","score_opus":0.05276481900026251,"score_gpt":0.36202014728308834,"score_spread":0.3092553282828258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112677345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99843055,0.000063205036,0.00034832777,0.000054532982,0.0000018632936,0.0000026141702,0.00039057355,0.000008602203,0.00069969037],"genre_scores_gemma":[0.9991247,0.000021764847,0.00031021572,0.0000072613543,0.0000035630471,0.0000048807688,0.0003472446,0.000002240603,0.00017823861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989503,0.0005711587,0.000032480868,0.00020115862,0.00013715682,0.00010768642],"domain_scores_gemma":[0.9945886,0.002204482,0.0018050731,0.00040211054,0.00071961974,0.00028018162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012796341,0.00013846821,0.00030876932,0.0018644931,0.00038547226,0.0006813201,0.00037274783,0.00036051736,0.0018218489],"category_scores_gemma":[0.0041535804,0.000119519915,0.00019090781,0.0018770562,0.00046977762,0.00035091248,0.0006405831,0.00025148873,0.00031718807],"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":[0.000058749145,0.000028285524,0.9844959,0.0000198589,0.000043982323,0.000088351175,0.0012742532,0.0007587063,0.0021870974,0.00051539287,0.00047376816,0.010055564],"study_design_scores_gemma":[0.000002702302,0.000020918098,0.9973551,0.0000052436676,0.000005393146,0.00004756909,0.0005574461,0.0011360979,0.000113065784,0.000094629686,0.0006548499,0.000006936132],"about_ca_topic_score_codex":0.04516453,"about_ca_topic_score_gemma":0.070002586,"teacher_disagreement_score":0.04516453,"about_ca_system_score_codex":0.0007023494,"about_ca_system_score_gemma":0.00035541455,"threshold_uncertainty_score":0.08980328},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97588015,0.0018015797,0.004782366,0.0024780536,0.00013128118,0.000074186246,0.0009577082,0.00010014537,0.0137946755],"genre_scores_gemma":[0.99674654,0.00021389205,0.0004957631,0.00035537832,0.00008586143,0.000012294888,0.00021218383,0.000020617179,0.0018573742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885,0.00037399348,0.00007016857,0.00031200322,0.0001606205,0.0002331885],"domain_scores_gemma":[0.98483735,0.006414909,0.004809624,0.0022695127,0.0006910268,0.0009776582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027669657,0.00028622383,0.00072553963,0.00090748916,0.00049612625,0.0009351421,0.0008610459,0.00095415924,0.016870283],"category_scores_gemma":[0.013360359,0.00020062906,0.0011851935,0.0017490892,0.001688756,0.0011340323,0.00094584475,0.0004198496,0.0011701125],"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":[0.00027520838,0.00005798919,0.97995985,0.00008122509,0.0005957754,0.00018408164,0.00026470926,0.00056079146,0.000315845,0.0034128474,0.0009932417,0.013298561],"study_design_scores_gemma":[0.00003576224,0.00010451642,0.9875743,0.000033927856,0.00030418264,0.0001229343,0.0007268229,0.0016628031,0.0003787351,0.006361596,0.0026806593,0.000013647399],"about_ca_topic_score_codex":0.016578548,"about_ca_topic_score_gemma":0.021276731,"teacher_disagreement_score":0.016870283,"about_ca_system_score_codex":0.000417623,"about_ca_system_score_gemma":0.00043038555,"threshold_uncertainty_score":0.056436718},"labels":[],"label_agreement":null},{"id":"W2118529534","doi":"10.1111/j.1467-9787.2012.00780_9.x","title":"Enclosing Water: Nature and Political Economy in a Mediterranean Valley, 1796–1916 by Stefania Barca","year":2012,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","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":"Queen (butterfly); Politics; Citation; History; Unit (ring theory); Political science; Law","score_opus":0.01229207507259487,"score_gpt":0.2314047876002353,"score_spread":0.21911271252764045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118529534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55353117,0.1405733,0.0005372866,0.19907586,0.004957715,0.00003699492,0.0011426922,0.0000360395,0.10010888],"genre_scores_gemma":[0.92031616,0.025011392,0.00031344278,0.0046336562,0.0033204667,0.000016364987,0.0002671195,0.00004291204,0.046078358],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9998348,0.00005019076,0.0000073468013,0.000038754508,0.000023822759,0.00004506423],"domain_scores_gemma":[0.99984086,0.000047867677,0.000043292624,0.0000066021457,0.000029758503,0.00003153991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004331116,0.00028238815,0.00024118589,0.00044554277,0.0012940777,0.0011958384,0.00035892153,0.0006605982,0.0024654872],"category_scores_gemma":[0.0009169906,0.0001928903,0.00016549852,0.0007310006,0.0014858249,0.0009830071,0.00086287,0.0013893249,0.00038185064],"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":[0.0005496763,0.0001693576,0.048121624,0.00081184425,0.00018231453,0.0015502856,0.07331917,0.0034328636,0.002406838,0.1017188,0.5700113,0.19772588],"study_design_scores_gemma":[0.000013980036,0.000038534614,0.100818,0.0003395633,0.000013311999,0.0002448896,0.008592861,0.00042325322,0.00024940644,0.0059255776,0.8833104,0.000030150202],"about_ca_topic_score_codex":0.062282264,"about_ca_topic_score_gemma":0.11515953,"teacher_disagreement_score":0.062282264,"about_ca_system_score_codex":0.0026473224,"about_ca_system_score_gemma":0.0010544901,"threshold_uncertainty_score":0.1238395},"labels":[],"label_agreement":null},{"id":"W2122561288","doi":"10.1111/1467-9787.00287","title":"Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs","year":2003,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Economics of Agriculture and Food Markets","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":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Directed acyclic graph; Ambiguity; Information flow; Econometrics; Economics; Forecast error; sort; European union; Mathematics; Financial economics; International trade; Computer science; Combinatorics","score_opus":0.020116229696371894,"score_gpt":0.2106303035602328,"score_spread":0.1905140738638609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122561288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62442434,0.0010876695,0.36248323,0.0031098926,0.00013044885,0.0001675768,0.0025312067,0.0006296444,0.005436061],"genre_scores_gemma":[0.9709514,0.0008065859,0.021669893,0.00016158163,0.00006767325,0.0001249005,0.0011489169,0.000068923015,0.005000107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986253,0.00066709006,0.0000629038,0.0002950479,0.00015512164,0.0001946103],"domain_scores_gemma":[0.9761795,0.018907916,0.0029315616,0.0008120918,0.0008773356,0.00029156092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056516863,0.00072672474,0.0010523249,0.0027113883,0.0006415164,0.0019024215,0.0021005485,0.0020325358,0.002896613],"category_scores_gemma":[0.02770346,0.0008021795,0.0012117825,0.0031869432,0.0014107823,0.0033283622,0.0010085534,0.0022669663,0.00052021816],"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":[0.00011395681,0.000104387516,0.017525198,0.00004450203,0.00009518616,0.00018132749,0.00023210993,0.9191879,0.00017730416,0.04968163,0.0011234677,0.011533007],"study_design_scores_gemma":[0.000019111418,0.000017073955,0.0013691252,0.000006425328,0.000016875712,0.000022640443,0.000029110824,0.9795594,0.000045119126,0.01846242,0.00044130598,0.000011369019],"about_ca_topic_score_codex":0.05304884,"about_ca_topic_score_gemma":0.030787364,"teacher_disagreement_score":0.05304884,"about_ca_system_score_codex":0.0021071106,"about_ca_system_score_gemma":0.0011515273,"threshold_uncertainty_score":0.105480134},"labels":[],"label_agreement":null},{"id":"W2142496726","doi":"10.1111/0022-4146.00240","title":"Exploring the Canadian‐U.S. Unemployment and Nonemployment Rate Gaps: Are There Lessons for Both Countries?","year":2001,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Employment and Welfare Studies","field":"Health Professions","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":"Unemployment; Economics; Unemployment rate; Demographic economics; Labour economics; Population; Economic growth; Demography","score_opus":0.2489461325627785,"score_gpt":0.4185881570846214,"score_spread":0.16964202452184288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142496726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7275586,0.08091763,0.001855283,0.094622456,0.0006136835,0.00012101396,0.016834103,0.00009130259,0.07738585],"genre_scores_gemma":[0.9743469,0.014017139,0.0013709659,0.0028784415,0.00013840653,0.00004135365,0.0032459458,0.000030081317,0.0039308267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798274,0.00016436494,0.000055195622,0.00016099119,0.0004610597,0.0011756199],"domain_scores_gemma":[0.9939681,0.0015180598,0.0009726615,0.00015553947,0.0024312176,0.0009544117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039264923,0.00047373326,0.001124616,0.0047540287,0.0044750455,0.004000343,0.0018182823,0.0014398025,0.0061930344],"category_scores_gemma":[0.009703449,0.00028801765,0.00102206,0.012426916,0.0017325307,0.0039207484,0.0023891372,0.0018468766,0.00033775024],"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":[0.00044243637,0.00021147715,0.67334175,0.0013265656,0.00050783204,0.0005074343,0.013637903,0.0029942938,0.00027434726,0.08763393,0.044847045,0.17427507],"study_design_scores_gemma":[0.000031591542,0.00007930314,0.9114263,0.00091726973,0.00026511226,0.000093420815,0.04027372,0.001988185,0.00025345077,0.007681821,0.03689036,0.0000994577],"about_ca_topic_score_codex":0.9900795,"about_ca_topic_score_gemma":0.9953399,"teacher_disagreement_score":0.029282782,"about_ca_system_score_codex":0.029282782,"about_ca_system_score_gemma":0.08091263,"threshold_uncertainty_score":0.21246243},"labels":[],"label_agreement":null},{"id":"W2149195484","doi":"10.1111/jors.12120","title":"NEW SPORTS FACILITIES AND RESIDENTIAL HOUSING MARKETS","year":2014,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","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 Alberta","funders":"","keywords":"Census tract; Census; Differential (mechanical device); Business; Poverty; Facility management; Economics; Economic growth; Marketing; Environmental health; Engineering; Population; Medicine","score_opus":0.02347682963512575,"score_gpt":0.21175973338265672,"score_spread":0.18828290374753098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149195484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932099,0.0003793645,0.00026716138,0.0002204543,0.000012187147,0.000016610282,0.0031723962,0.000011657706,0.0027102756],"genre_scores_gemma":[0.99701,0.000112985814,0.00011250101,0.000019828465,0.000019634384,0.000010950704,0.0015816534,0.000003345894,0.0011290865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993026,0.00015169961,0.000057637957,0.00013085097,0.00019898686,0.00015818854],"domain_scores_gemma":[0.99081683,0.0015840915,0.005319086,0.00022372563,0.0005981019,0.0014581955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006305865,0.00013378309,0.0002586764,0.0015679201,0.00027339696,0.00101371,0.0005044475,0.00024748547,0.0075537907],"category_scores_gemma":[0.0039617056,0.00015109753,0.00038219715,0.0015312443,0.00043771375,0.0008146217,0.0011075748,0.00063750776,0.0005956335],"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":[0.00009292246,0.00007280829,0.99010885,0.00004653868,0.000086764056,0.00013897223,0.00018417258,0.0010872366,0.0002169748,0.00054168067,0.0015514116,0.005871682],"study_design_scores_gemma":[0.000005882145,0.000035156852,0.99691546,0.000017326318,0.00001109431,0.000049769973,0.00038084472,0.0005777034,0.00009246498,0.00012054442,0.001787675,0.000005955235],"about_ca_topic_score_codex":0.020736635,"about_ca_topic_score_gemma":0.05297646,"teacher_disagreement_score":0.020736635,"about_ca_system_score_codex":0.00079858495,"about_ca_system_score_gemma":0.0003777913,"threshold_uncertainty_score":0.04123187},"labels":[],"label_agreement":null},{"id":"W2347170187","doi":"10.1111/jors.12246","title":"Global Amenity Migration: Transforming Rural Culture Economy and Landscape, edited by LaurenceA.G. Moss and RomellaS. Glorioso. 2014. Kaslo, British Columbia: The New Ecology Press. 435. ISBN: 9780993635106. $76.00","year":2016,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","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; Beauty; Painting; Rural area; Sustainability; Alienation; Consumption (sociology); Sociology; Geography; Aesthetics; History; Ecology; Political science; Social science; Art; Art history; Law","score_opus":0.007581206909192227,"score_gpt":0.23887891886512677,"score_spread":0.23129771195593454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347170187","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059344545,0.7838051,0.0030814274,0.03457659,0.009409885,0.00004797604,0.0005859389,0.0005416766,0.16201705],"genre_scores_gemma":[0.043123174,0.5328863,0.004716372,0.0040170117,0.0016049885,0.00008278809,0.00065665634,0.0005514714,0.41236117],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99986386,0.0000394595,0.00000570156,0.000021631344,0.00004589866,0.000023373517],"domain_scores_gemma":[0.9998627,0.0000324627,0.000013961808,0.000010972207,0.000039299426,0.000040643405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003605531,0.0010898114,0.0004658334,0.001012286,0.0013782077,0.0040917387,0.0006774363,0.00093110313,0.018050313],"category_scores_gemma":[0.00049702794,0.0004015616,0.00025095028,0.0028849232,0.0014469298,0.0020890774,0.0016007662,0.0021552038,0.005533958],"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":[0.000015075376,0.000024615052,0.0004226811,0.000975182,0.000010930282,0.00016382414,0.0061521563,0.00024646468,0.00049012696,0.014118386,0.75110966,0.22627094],"study_design_scores_gemma":[0.000001950884,0.0000052072614,0.0014429938,0.000682685,0.0000033793806,0.00012643695,0.003491897,0.000043263004,0.000054557557,0.00258008,0.99156183,0.0000057246784],"about_ca_topic_score_codex":0.064739995,"about_ca_topic_score_gemma":0.15263988,"teacher_disagreement_score":0.93526,"about_ca_system_score_codex":0.0030095936,"about_ca_system_score_gemma":0.005569238,"threshold_uncertainty_score":0.12872636},"labels":[],"label_agreement":null},{"id":"W2551661078","doi":"10.1111/jors.12296","title":"<b>Introduction to Regional Economic Development: Major Theories and Basic Analytical Tools</b>, by Mustafa Dinc. 2015. Northampton, Massachusetts: Edward Elgar. 208+xi. ISBN: 9781785361340. $120.00.","year":2016,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Fiscal Policy and Economic Growth","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":"Citation; Sociology; Urbanization; Library science; Economics; Computer science; Economic growth","score_opus":0.023140233816269482,"score_gpt":0.2360290574010029,"score_spread":0.21288882358473343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551661078","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006070087,0.67148656,0.016430324,0.047619484,0.018121025,0.00008423684,0.005332594,0.0010826426,0.23923615],"genre_scores_gemma":[0.01600976,0.6172211,0.019088158,0.007732455,0.011692919,0.00023904428,0.0052159443,0.0009932736,0.32180738],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964726,0.00007688323,0.000037449103,0.000076125034,0.00012731816,0.00003501763],"domain_scores_gemma":[0.99915135,0.0004288099,0.0000811177,0.000063404004,0.00021397485,0.000061416824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088680186,0.0015551293,0.000873329,0.0028152221,0.0006114755,0.0031437248,0.0011482264,0.001552558,0.08856571],"category_scores_gemma":[0.0021891878,0.00060837914,0.0006860403,0.006330487,0.0013939124,0.004411623,0.0012586921,0.0027581733,0.050747845],"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":[0.000008588288,0.000008467615,0.00014495297,0.0003492029,0.000007387176,0.000027877051,0.0000713709,0.00030381806,0.00009097017,0.031327747,0.8847541,0.082905516],"study_design_scores_gemma":[0.0000025685295,0.000007770636,0.00072604127,0.00044252683,0.000003920658,0.00010545719,0.0000710147,0.00018417108,0.000049497736,0.02114153,0.9772564,0.000008939547],"about_ca_topic_score_codex":0.00997364,"about_ca_topic_score_gemma":0.0146123255,"teacher_disagreement_score":0.08856571,"about_ca_system_score_codex":0.0020223255,"about_ca_system_score_gemma":0.0016473344,"threshold_uncertainty_score":0.2962818},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8644126,0.001490434,0.0712107,0.007264003,0.00007523924,0.00010008481,0.0015952181,0.00017199734,0.05367971],"genre_scores_gemma":[0.97910196,0.00057882344,0.0036429893,0.00008834875,0.000024953253,0.00006834645,0.00022163309,0.000023908013,0.016248932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975914,0.00012269142,0.000008549584,0.000031799173,0.000017603357,0.000060159553],"domain_scores_gemma":[0.99863285,0.00089349085,0.00016985725,0.0000602026,0.0000786851,0.00016482547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010341711,0.00043673263,0.0007940215,0.00070916134,0.00070587895,0.0022702687,0.0017268092,0.0012199183,0.010937323],"category_scores_gemma":[0.0029641446,0.00040688828,0.0006816052,0.0013418224,0.0011380884,0.0011033083,0.0019547988,0.00105456,0.00059124694],"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":[0.00018246206,0.00026146602,0.018730402,0.00012212119,0.000080302336,0.0011035092,0.0007985683,0.6971734,0.00039196011,0.2675775,0.0052764253,0.008301864],"study_design_scores_gemma":[0.00009524397,0.000045114237,0.0028998794,0.000031801188,0.00003537847,0.00010016307,0.0007052411,0.9254415,0.00006411653,0.066584945,0.003964444,0.000032218177],"about_ca_topic_score_codex":0.08028711,"about_ca_topic_score_gemma":0.041206878,"teacher_disagreement_score":0.08028711,"about_ca_system_score_codex":0.0027016609,"about_ca_system_score_gemma":0.001745311,"threshold_uncertainty_score":0.15963954},"labels":[],"label_agreement":null},{"id":"W2612431996","doi":"10.1111/jors.12342","title":"Market size, occupational self‐selection, sorting, and income inequality","year":2017,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Social Sciences and Humanities Research Council of Canada; National Research University Higher School of Economics; Russian Foundation for Basic Research","keywords":"Monopolistic competition; Sorting; Inequality; Economics; Income distribution; Economic inequality; Market size; Competition (biology); Labour economics; Free entry; Microeconomics; Monopoly; Computer science; Commerce","score_opus":0.04631296764193386,"score_gpt":0.2831956914700977,"score_spread":0.23688272382816386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612431996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9375189,0.00020947687,0.04540485,0.0018060585,0.00002019021,0.000035975572,0.0001721945,0.0000272859,0.014805132],"genre_scores_gemma":[0.9970198,0.00006040359,0.00089417404,0.00004213112,0.000009768924,0.000012040254,0.000021387696,0.0000020176471,0.0019382469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998485,0.00006217822,0.0000045294087,0.000019654226,0.00001587989,0.00004928468],"domain_scores_gemma":[0.9986498,0.00072573253,0.00025738653,0.00006406112,0.00007416253,0.00022888744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069389935,0.00019338864,0.00037953505,0.00039381784,0.00040666477,0.0010015263,0.0005379456,0.0007307815,0.008278716],"category_scores_gemma":[0.0019559145,0.00015324102,0.00028018988,0.0003023236,0.00091514236,0.0010210337,0.00064575265,0.00045870277,0.00040617448],"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":[0.00027927407,0.00046896894,0.065427594,0.00008012943,0.00009202677,0.0007388465,0.00048613216,0.26226383,0.0046913424,0.64775056,0.0037577117,0.013963654],"study_design_scores_gemma":[0.00014835535,0.00014271658,0.023081182,0.000023662926,0.000034489916,0.00016313596,0.00042227958,0.68730223,0.0005427237,0.2865597,0.0015508923,0.000028719403],"about_ca_topic_score_codex":0.0041122683,"about_ca_topic_score_gemma":0.003783374,"teacher_disagreement_score":0.008278716,"about_ca_system_score_codex":0.0006899708,"about_ca_system_score_gemma":0.00044144943,"threshold_uncertainty_score":0.02769512},"labels":[],"label_agreement":null},{"id":"W2743524054","doi":"10.1111/jors.12356","title":"A review of volume 5 of the <i>Handbook of Regional and Urban Economics</i>","year":2017,"lang":"en","type":"review","venue":"Journal of Regional Science","topic":"Global trade and economics","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 British Columbia","funders":"Economic and Social Research Council","keywords":"Schools of economic thought; Politics; Sociology; Political science; Law; Economics","score_opus":0.22877745116971854,"score_gpt":0.30453551801707374,"score_spread":0.0757580668473552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743524054","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000104610466,0.9885421,0.00032630545,0.0032224366,0.002420959,0.000012278743,0.0005801357,0.000038457663,0.0047527677],"genre_scores_gemma":[0.00069443474,0.9915941,0.00040492232,0.0021827626,0.0018870869,0.000018395793,0.0006176404,0.000018794468,0.0025818131],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922824,0.00013690129,0.00012212362,0.00009999316,0.0003432147,0.00006962284],"domain_scores_gemma":[0.9964509,0.0015924816,0.0004859762,0.000093595205,0.0011428717,0.00023419037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014751203,0.0010308498,0.0016166714,0.0098489635,0.00045242216,0.0027939316,0.0012380837,0.0013613773,0.023598965],"category_scores_gemma":[0.006678041,0.00036644682,0.00072579517,0.017369559,0.00062988256,0.0028716212,0.0015378827,0.0017621792,0.00915743],"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":[0.00003621192,0.000035158668,0.00030835732,0.020013524,0.000091833055,0.000042455416,0.00008012763,0.00017277784,0.00033223227,0.0050242995,0.5189781,0.45488486],"study_design_scores_gemma":[0.0000036743052,0.000009913965,0.00062848895,0.0054675587,0.000046651534,0.00007852235,0.000029223922,0.000016766786,0.0000479124,0.0008732514,0.99279,0.000008075832],"about_ca_topic_score_codex":0.0034966546,"about_ca_topic_score_gemma":0.010472269,"teacher_disagreement_score":0.023598965,"about_ca_system_score_codex":0.0015935048,"about_ca_system_score_gemma":0.006149861,"threshold_uncertainty_score":0.07894641},"labels":[],"label_agreement":null},{"id":"W2760829493","doi":"10.1111/jors.12360","title":"A Review of Volume 5 of the Handbook of Regional and Urban Economics, Parts III and IV","year":2017,"lang":"en","type":"review","venue":"Journal of Regional Science","topic":"Housing Market and Economics","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":"Superstar; Stylized fact; Bust; Economics; Boom; Real estate; Urban economics; Macroeconomics; Financial economics; Microeconomics; Finance; Business","score_opus":0.12481240210961124,"score_gpt":0.2951338376090466,"score_spread":0.17032143549943535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760829493","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000093644456,0.98769903,0.00046687326,0.0020806773,0.0018491002,0.0000121361,0.0001825907,0.000026627857,0.007589217],"genre_scores_gemma":[0.00068122137,0.9921044,0.00037897244,0.000863112,0.0015205832,0.000015834039,0.00022215607,0.000017894981,0.004195801],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926883,0.00012585752,0.000089575995,0.00012220803,0.00033869717,0.000054833366],"domain_scores_gemma":[0.9980215,0.00090707187,0.00020025262,0.000068239424,0.00067815784,0.0001248393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009970574,0.00087211153,0.001441441,0.0074396287,0.00056953647,0.0028014,0.000986775,0.0011622349,0.026835054],"category_scores_gemma":[0.0038690548,0.00056642096,0.0006749124,0.013223189,0.00086318544,0.0027242077,0.001112883,0.0020888387,0.013061237],"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":[0.000025833942,0.00004982454,0.00028970925,0.014278484,0.00005616929,0.00006171013,0.00012654987,0.00052129314,0.00041938006,0.014553983,0.3629699,0.60664725],"study_design_scores_gemma":[0.0000017747943,0.000008584576,0.0004320797,0.0029983597,0.000014379928,0.000088606495,0.000035681707,0.000027320468,0.00003719132,0.0015801518,0.99476963,0.0000061049564],"about_ca_topic_score_codex":0.004113733,"about_ca_topic_score_gemma":0.006741352,"teacher_disagreement_score":0.026835054,"about_ca_system_score_codex":0.0018389523,"about_ca_system_score_gemma":0.0044616973,"threshold_uncertainty_score":0.089772224},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983026,0.000115394665,0.00010284891,0.00003617467,0.0000015180873,0.0000024155313,0.0002525506,0.000003487925,0.0011831048],"genre_scores_gemma":[0.9993523,0.00009316584,0.00005161275,0.0000062682916,0.0000017355231,0.0000018979023,0.00032623968,0.0000014269832,0.00016528623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995635,0.000112249065,0.000031463576,0.000095166746,0.00007123026,0.00012633327],"domain_scores_gemma":[0.99851173,0.00031081733,0.00065295375,0.00012985541,0.0002699743,0.00012462863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046920768,0.00014715984,0.00029083109,0.0017627204,0.00062602205,0.0007736488,0.00030666878,0.00018177723,0.0014722064],"category_scores_gemma":[0.0012311366,0.00016670188,0.00035866274,0.0022314654,0.00065827696,0.0003332308,0.0012393519,0.00026904425,0.00028524586],"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":[0.00013151317,0.000039402774,0.98898965,0.000063258274,0.00012935637,0.00036986882,0.0021804227,0.00058618636,0.0007703011,0.0011504114,0.00046512042,0.0051246383],"study_design_scores_gemma":[0.0000038723724,0.00002393951,0.9957671,0.000021297277,0.000046649562,0.00008496137,0.0024447436,0.00040961572,0.00021938203,0.00007538079,0.00089848414,0.0000045519823],"about_ca_topic_score_codex":0.088016495,"about_ca_topic_score_gemma":0.09822672,"teacher_disagreement_score":0.088016495,"about_ca_system_score_codex":0.0007204496,"about_ca_system_score_gemma":0.0006232953,"threshold_uncertainty_score":0.17500842},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884179,0.000739996,0.0014280102,0.00035496458,0.000009374565,0.000008612886,0.00034097242,0.000014748315,0.00868534],"genre_scores_gemma":[0.9994299,0.00009193052,0.00011868,0.000011525057,0.000004682823,0.0000018977438,0.00007465577,0.0000014254209,0.0002652971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991062,0.00030805435,0.000054830718,0.00022552056,0.00014809746,0.0001573422],"domain_scores_gemma":[0.9920318,0.0027168347,0.0036764205,0.0004001866,0.00050189503,0.0006728249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010029251,0.00019135154,0.00032856548,0.001208003,0.00036971914,0.001451782,0.00030491635,0.00024573097,0.0065126596],"category_scores_gemma":[0.007809154,0.0001107051,0.00041064748,0.001931596,0.0009765583,0.001148616,0.0018446678,0.0005315624,0.00021334637],"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":[0.00014058744,0.00008258028,0.9620112,0.00006372661,0.00046237206,0.000114533555,0.00035624552,0.011138759,0.00043417988,0.010557899,0.0006871559,0.013950734],"study_design_scores_gemma":[0.00001556715,0.00005367377,0.9833697,0.000069420545,0.00022400978,0.00005860454,0.0010072191,0.0070668804,0.00036106916,0.005223481,0.00253986,0.000010479575],"about_ca_topic_score_codex":0.02823109,"about_ca_topic_score_gemma":0.022365855,"teacher_disagreement_score":0.02823109,"about_ca_system_score_codex":0.0010045072,"about_ca_system_score_gemma":0.0005019339,"threshold_uncertainty_score":0.05613351},"labels":[],"label_agreement":null},{"id":"W3122223502","doi":"10.1111/jors.12010","title":"IMMIGRATION AND HOUSING BOOMS: EVIDENCE FROM SPAIN*","year":2012,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":280,"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; Boom; Quarter (Canadian coin); Demographic economics; Economics; Population; Instrumental variable; Baby boom; Working population; Period (music); Geography; Labour economics; Demography; Econometrics; Sociology; Environmental science","score_opus":0.06731346811901348,"score_gpt":0.2500056372103386,"score_spread":0.1826921690913251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122223502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984336,0.0036146415,0.00027273572,0.0015678146,0.000074711264,0.000010408935,0.0034612871,0.00001533766,0.006646967],"genre_scores_gemma":[0.9933344,0.0017998782,0.000096713266,0.00024497492,0.000077079916,0.000008103287,0.0034148456,0.0000074669497,0.001016525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992594,0.00028492426,0.00007256501,0.0001316382,0.000102421516,0.00014908228],"domain_scores_gemma":[0.99048364,0.0032517966,0.0041835452,0.0005856082,0.00091821485,0.0005771381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021562572,0.0002649864,0.00040176493,0.0012915578,0.00031449524,0.0012439928,0.00057264866,0.0007115724,0.0047443034],"category_scores_gemma":[0.0053890487,0.0002330063,0.0006005229,0.0019348752,0.0006552107,0.00039508395,0.0012742783,0.0007712304,0.00065598736],"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":[0.0002518915,0.000096181815,0.98986673,0.000113878625,0.00020354547,0.00018568106,0.00025622986,0.00050263864,0.000054766486,0.00043596327,0.0026143421,0.005418218],"study_design_scores_gemma":[0.00003135088,0.00003694311,0.99638903,0.00008195883,0.00007395951,0.000041846586,0.0006866538,0.0003327786,0.00003815644,0.00019065614,0.0020889519,0.0000076918295],"about_ca_topic_score_codex":0.06451849,"about_ca_topic_score_gemma":0.051397342,"teacher_disagreement_score":0.06451849,"about_ca_system_score_codex":0.00059294386,"about_ca_system_score_gemma":0.00055726286,"threshold_uncertainty_score":0.12828588},"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":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005547712,0.12804775,0.0023539234,0.015801135,0.025684068,0.00020273565,0.0046553155,0.0011902887,0.82151],"genre_scores_gemma":[0.0026516947,0.06898717,0.0018859274,0.0052638603,0.005490482,0.0001251826,0.0041770204,0.0006286649,0.91078997],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855715,0.00014408705,0.00009978734,0.00030653237,0.00076962635,0.00012288318],"domain_scores_gemma":[0.9980806,0.00034596183,0.000104244005,0.00019860409,0.0009798867,0.00029072052],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074626936,0.0012393768,0.0014243048,0.0033184905,0.0016390863,0.00835218,0.0024206063,0.0027400805,0.4645108],"category_scores_gemma":[0.004455375,0.0005776698,0.0008992639,0.00528902,0.0008052901,0.0054446203,0.002613469,0.0028156585,0.45639014],"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":[0.000013616134,0.000020007763,0.00006799223,0.00042361504,0.00000465646,0.00006159558,0.00007827702,0.00006396081,0.00013570872,0.0057549784,0.8741517,0.119223855],"study_design_scores_gemma":[0.0000016302617,0.0000032533653,0.00006492406,0.0001597119,0.0000015643811,0.000059256778,0.000038528247,0.000011223131,0.000018602706,0.0007680847,0.99887043,0.0000027662084],"about_ca_topic_score_codex":0.004793306,"about_ca_topic_score_gemma":0.007131014,"teacher_disagreement_score":0.4645108,"about_ca_system_score_codex":0.002523555,"about_ca_system_score_gemma":0.0045035803,"threshold_uncertainty_score":0.76381034},"labels":[],"label_agreement":null},{"id":"W4254280488","doi":"10.1111/1467-9787.00275","title":"Book Reviews","year":2002,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Italy: Economic History and Contemporary Issues","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; Metropolitan area; Urban sprawl; Mesoamerica; Empire; Population; Economic history; Geography; Cartography; Sociology; Political science; Economy; Urban planning; History; Archaeology; Economics; Engineering","score_opus":0.09960552312305136,"score_gpt":0.23311831958077217,"score_spread":0.1335127964577208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254280488","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000399287,0.0918456,0.0011624924,0.010851846,0.024698287,0.0001767542,0.0037187608,0.00092934363,0.8662176],"genre_scores_gemma":[0.0015373887,0.040095713,0.0009849032,0.0036945161,0.0055258414,0.000095999225,0.0029976307,0.00047252068,0.9445955],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985312,0.00011855339,0.00009139402,0.00032475128,0.00081362954,0.000120426994],"domain_scores_gemma":[0.99779284,0.00033677733,0.00011847318,0.00019074077,0.0012314593,0.00032975126],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00066901976,0.0013519053,0.0015531007,0.003822032,0.0017259265,0.009594112,0.0024215484,0.0025431798,0.5773365],"category_scores_gemma":[0.0040609785,0.0006173845,0.0008988176,0.0062480266,0.0007556162,0.0053833267,0.0025119102,0.0025361448,0.5936329],"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":[0.000007836884,0.00001445155,0.000046798694,0.000433081,0.000003548601,0.00004900291,0.000057126417,0.000053146214,0.00010968414,0.0028250276,0.9075861,0.08881409],"study_design_scores_gemma":[0.000001749922,0.000003276873,0.000058589452,0.00018965612,0.0000014574397,0.000044648914,0.00003653924,0.000009077372,0.000015341584,0.00038862595,0.9992481,0.0000028451645],"about_ca_topic_score_codex":0.0040564756,"about_ca_topic_score_gemma":0.0067302566,"teacher_disagreement_score":0.4226635,"about_ca_system_score_codex":0.002345549,"about_ca_system_score_gemma":0.004854788,"threshold_uncertainty_score":0.6028782},"labels":[],"label_agreement":null},{"id":"W4391033189","doi":"10.1111/jors.12681","title":"Climate risk and commercial mortgage delinquency","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","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":"University of Guelph","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Maastricht; Real Estate Research Institute; Johns Hopkins University","keywords":"Underwriting; Real estate; Flood myth; Collateral; Natural disaster; Juvenile delinquency; Business; Actuarial science; Finance; Economics; Geography","score_opus":0.03802844020363478,"score_gpt":0.25470224585574663,"score_spread":0.21667380565211186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391033189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807954,0.00013081075,0.00015357224,0.00008232305,0.000003200992,0.000003600249,0.0003731544,0.0000039089878,0.0011698938],"genre_scores_gemma":[0.9994204,0.00004151944,0.00002732419,0.00000403231,0.0000041953626,0.0000015295306,0.00018912723,7.448275e-7,0.00031120967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996216,0.00015018722,0.000024230807,0.00005016872,0.00007938462,0.00007438324],"domain_scores_gemma":[0.99108,0.004120023,0.0029666258,0.0003216134,0.0005590666,0.00095269503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007874329,0.00016379767,0.00019237821,0.0006161715,0.0001929225,0.0007791808,0.00020006573,0.00030238557,0.0051571783],"category_scores_gemma":[0.0039599147,0.00011045793,0.00035759312,0.0006535243,0.00027517363,0.0003430162,0.0005684307,0.0005084707,0.0004892715],"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":[0.000053945478,0.0000402272,0.9966629,0.0000068388495,0.00006513176,0.000046375382,0.000050672013,0.0011774042,0.00010927914,0.00013628897,0.000121349316,0.0015295977],"study_design_scores_gemma":[0.000001693669,0.00006509606,0.99628097,0.000004965992,0.000017229979,0.00003765445,0.00017079411,0.0028409536,0.00011638452,0.00019197167,0.00026781575,0.0000044592543],"about_ca_topic_score_codex":0.007932877,"about_ca_topic_score_gemma":0.007055566,"teacher_disagreement_score":0.007932877,"about_ca_system_score_codex":0.00029315113,"about_ca_system_score_gemma":0.00018986744,"threshold_uncertainty_score":0.017252445},"labels":[],"label_agreement":null},{"id":"W4399789608","doi":"10.1111/jors.12715","title":"Quantifying the impacts of climate shocks in commercial real estate markets","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","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 Guelph","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Capitalization; Real estate; Flood myth; Futures contract; Database transaction; Climate change; Climate risk; Business; Flood insurance; Flooding (psychology); Economics; Natural resource economics; Finance; Geography","score_opus":0.06611908290755249,"score_gpt":0.296305499661075,"score_spread":0.23018641675352253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399789608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833494,0.000048760812,0.00024961523,0.000050817467,0.0000015819338,0.000005737075,0.00009294009,0.0000025115537,0.0012131683],"genre_scores_gemma":[0.99981123,0.00001946324,0.000035044694,0.000002960258,0.0000020171578,0.0000011154453,0.000044425917,3.6897384e-7,0.000083345956],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968565,0.00011018049,0.000022370334,0.000038315553,0.000077554854,0.00006592437],"domain_scores_gemma":[0.99458814,0.002533093,0.0020119827,0.00016433865,0.00033536833,0.00036703408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069815916,0.00016722789,0.00017011992,0.0006235975,0.00019573068,0.0015876315,0.00022771045,0.00038449894,0.0028405979],"category_scores_gemma":[0.00561084,0.00013823378,0.00018057849,0.0007890858,0.00042413274,0.0016600261,0.0007414151,0.0004904622,0.0001416798],"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":[0.00021207833,0.00015048649,0.961361,0.000031731717,0.00009549097,0.00031951402,0.00047329985,0.025949419,0.0012389789,0.0031199895,0.0003490311,0.0066989046],"study_design_scores_gemma":[0.000007734032,0.00012366536,0.93409246,0.000011219636,0.00002417712,0.00009797908,0.0021668158,0.058371212,0.0007900737,0.00353297,0.0007592201,0.00002252455],"about_ca_topic_score_codex":0.009297662,"about_ca_topic_score_gemma":0.009330115,"teacher_disagreement_score":0.009297662,"about_ca_system_score_codex":0.0009177716,"about_ca_system_score_gemma":0.0002348329,"threshold_uncertainty_score":0.018487096},"labels":[],"label_agreement":null},{"id":"W4400304308","doi":"10.1111/jors.12718","title":"Assessing the environmental performance of green mortgage‐backed securities","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","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":"York University","funders":"","keywords":"Bond; Loan; Transparency (behavior); Efficient energy use; Incentive; Business; Asset (computer security); Real estate; Finance; Economics; Microeconomics; Computer science","score_opus":0.04228307836704735,"score_gpt":0.2501610323028885,"score_spread":0.20787795393584113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400304308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99700636,0.000057683363,0.0005638516,0.00003274101,0.000004014951,0.0000074064533,0.00019672744,0.000009557089,0.002121599],"genre_scores_gemma":[0.99899226,0.000026270971,0.00032908705,0.000004286181,0.0000035380376,0.0000024779888,0.00022202871,0.000003307622,0.00041664444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886835,0.00041533483,0.00006762013,0.000112276844,0.00044594103,0.00009046356],"domain_scores_gemma":[0.9938957,0.0018428419,0.0022605387,0.00043955373,0.0011028317,0.00045852305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031087988,0.00020145236,0.0002241341,0.00082028296,0.0001730768,0.0010741112,0.0002043987,0.00035935067,0.0021992852],"category_scores_gemma":[0.009267172,0.00009119932,0.00021972322,0.0006975636,0.000299931,0.0009499038,0.0004910935,0.00032160422,0.00037489051],"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":[0.0004947816,0.00035647757,0.9459136,0.000032749304,0.00016271135,0.00010621102,0.00014631213,0.022464875,0.0028630015,0.002813943,0.0008433247,0.023801833],"study_design_scores_gemma":[0.000020152811,0.0011390303,0.93698066,0.000030900756,0.000056849003,0.00007856018,0.0005254811,0.0468559,0.008402011,0.0028034763,0.0030763939,0.00003062241],"about_ca_topic_score_codex":0.002553786,"about_ca_topic_score_gemma":0.003252606,"teacher_disagreement_score":0.0031087988,"about_ca_system_score_codex":0.0005144356,"about_ca_system_score_gemma":0.0002893945,"threshold_uncertainty_score":0.016441107},"labels":[],"label_agreement":null},{"id":"W4400458828","doi":"10.1111/jors.12720","title":"The effects of fuel subsidies on regional income distribution through smuggling","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Energy, Environment, and Transportation Policies","field":"Energy","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":"Sharif University of Technology","keywords":"Subsidy; Distribution (mathematics); Economics; Income distribution; Business; Market economy; Mathematics; Inequality","score_opus":0.01414737633949507,"score_gpt":0.26636546060794825,"score_spread":0.25221808426845316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400458828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962334,0.00008684296,0.0006317939,0.00016373998,0.000003664935,0.0000070497363,0.00011502312,0.000011991651,0.0027465583],"genre_scores_gemma":[0.9996983,0.000023695144,0.000093056624,0.0000074902528,0.000002258462,0.0000018993981,0.00003367277,0.0000012680091,0.00013843649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933064,0.00026723865,0.000020000489,0.00008383797,0.00010636772,0.00019186256],"domain_scores_gemma":[0.99726295,0.00094501325,0.0010632632,0.00018061436,0.00035731558,0.00019077297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007968112,0.00014703852,0.00020723873,0.000558563,0.00036829634,0.0007082843,0.00043507156,0.00020978927,0.0031797364],"category_scores_gemma":[0.0044924943,0.00007795454,0.0004390282,0.0007764716,0.0007420279,0.0005197827,0.0008237605,0.00041693723,0.0002456115],"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":[0.000312576,0.0001525361,0.94640696,0.000032036427,0.000095076895,0.00036873246,0.00045658372,0.020477772,0.0008812455,0.004459906,0.00086163107,0.02549501],"study_design_scores_gemma":[0.00001406373,0.00015011788,0.9677766,0.000019158055,0.000059345966,0.00009549264,0.0020173164,0.024582239,0.0007368766,0.0026743903,0.0018612272,0.000013256053],"about_ca_topic_score_codex":0.022297956,"about_ca_topic_score_gemma":0.029765332,"teacher_disagreement_score":0.022297956,"about_ca_system_score_codex":0.0012127934,"about_ca_system_score_gemma":0.0006884748,"threshold_uncertainty_score":0.04433632},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98868984,0.0005994991,0.0004872982,0.0010327747,0.000004107289,0.0000149147145,0.00008481523,0.0000033486608,0.009083418],"genre_scores_gemma":[0.9993543,0.00017016729,0.000088771805,0.000016480139,0.000005454553,0.0000031346142,0.000014380868,5.862324e-7,0.00034667383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984812,0.00071931165,0.000044176275,0.00015100457,0.00023288623,0.00037132757],"domain_scores_gemma":[0.9780336,0.013910989,0.0046351394,0.00036286176,0.0013306082,0.0017267416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017252176,0.00013403156,0.00037664777,0.0022661714,0.0017813143,0.0027666786,0.00066493574,0.00088080973,0.004609946],"category_scores_gemma":[0.011409859,0.000096320764,0.0002941775,0.0051551186,0.0037580568,0.0016615221,0.0025827596,0.00071906036,0.00017069285],"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":[0.00029217234,0.00025767376,0.8952304,0.00023619398,0.00016034812,0.0024970158,0.014313962,0.009255928,0.0007156929,0.05001971,0.0012622122,0.025758583],"study_design_scores_gemma":[0.00007884266,0.00020024186,0.9229201,0.00019714284,0.00022651718,0.0005868789,0.045783143,0.010490903,0.00058088574,0.010883489,0.0080067385,0.00004519072],"about_ca_topic_score_codex":0.33117914,"about_ca_topic_score_gemma":0.37856045,"teacher_disagreement_score":0.33117914,"about_ca_system_score_codex":0.0063670473,"about_ca_system_score_gemma":0.002984429,"threshold_uncertainty_score":0.65850294},"labels":[],"label_agreement":null},{"id":"W4415566085","doi":"10.1111/jors.70025","title":"Are We in the Same Boat? The Legacy of Historical Emigration on Attitudes Towards Immigration","year":2025,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Migration, Refugees, and Integration","field":"Social Sciences","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":"HEC Montréal","funders":"","keywords":"Emigration; Immigration; Residence; Refugee; Politics; Period (music)","score_opus":0.0542661117940663,"score_gpt":0.36298520316985966,"score_spread":0.30871909137579334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415566085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553406,0.00027881216,0.00010937544,0.0008549465,0.000017294358,0.0000025209197,0.00012399454,0.0000024028716,0.0030766348],"genre_scores_gemma":[0.99917895,0.00015924586,0.000030443252,0.00006402817,0.00002357375,0.000001372645,0.00006837345,0.0000012047602,0.00047280328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995455,0.00019637133,0.000017268278,0.00006900103,0.000044390057,0.00012733176],"domain_scores_gemma":[0.9954581,0.0013571883,0.0020233446,0.0003136779,0.00024251775,0.0006051861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012444764,0.00013750874,0.00020923391,0.0005330752,0.00049279496,0.0010165069,0.0003091664,0.00040923982,0.005746407],"category_scores_gemma":[0.0048214574,0.000092711096,0.00029485195,0.0008728015,0.0011197013,0.0005912906,0.00082671636,0.0007271407,0.00045955335],"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":[0.00005622299,0.000048628368,0.99320215,0.000013915251,0.00006517175,0.000069927686,0.00096407067,0.000119854674,0.000082773455,0.0006394112,0.0002933684,0.004444463],"study_design_scores_gemma":[0.0000014153236,0.000031973395,0.9975794,0.000019039295,0.0000257309,0.000018325965,0.0015155547,0.00008676298,0.00003858921,0.00009926443,0.00058140355,0.000002549427],"about_ca_topic_score_codex":0.013662644,"about_ca_topic_score_gemma":0.025049599,"teacher_disagreement_score":0.013662644,"about_ca_system_score_codex":0.00051894266,"about_ca_system_score_gemma":0.0003417662,"threshold_uncertainty_score":0.027166247},"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":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037965248,0.06401132,0.0010875603,0.010011973,0.012741749,0.00014530357,0.0051327804,0.0009776511,0.90551203],"genre_scores_gemma":[0.0015261901,0.028552387,0.000985512,0.0031525588,0.0034118237,0.00008000779,0.0036099295,0.00050696224,0.95817465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986356,0.00011145875,0.000079095655,0.00029584725,0.0007689282,0.000109164386],"domain_scores_gemma":[0.9978903,0.00030877852,0.00011031992,0.00017525078,0.0012218974,0.00029343108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006174786,0.0012790223,0.0014572226,0.0042853258,0.0015235164,0.008797506,0.002157613,0.0022412925,0.59326565],"category_scores_gemma":[0.004056102,0.00060257607,0.0008351218,0.0068057035,0.00064052996,0.005191412,0.0023093093,0.0023845297,0.5751485],"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":[0.0000067868928,0.000014491731,0.00005146759,0.00028973597,0.0000027843791,0.000035080007,0.00004092388,0.000050750612,0.00007611997,0.0033776518,0.92059785,0.075456366],"study_design_scores_gemma":[0.0000015528403,0.0000031365903,0.000080316815,0.00015647522,0.0000013979475,0.000046345212,0.000028795119,0.0000106227635,0.000014554296,0.00057820824,0.9990759,0.000002739333],"about_ca_topic_score_codex":0.004756333,"about_ca_topic_score_gemma":0.008412699,"teacher_disagreement_score":0.59326565,"about_ca_system_score_codex":0.0025760871,"about_ca_system_score_gemma":0.004227521,"threshold_uncertainty_score":0.58015716},"labels":[],"label_agreement":null}]}