{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":381,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":381,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"1918ab9d9af6","filters":{"topic":"Regional Economic and Spatial Analysis"}},"results":[{"id":"W2392178012","doi":"","title":"Formation and Dynamics of the \"Pole-Axis\" Spatial System","year":2002,"lang":"en","type":"article","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Perspective (graphical); Location theory; Development (topology); Systems theory; Dynamics (music); Geography; Mathematics; Geometry; Computer science; Economic geography; Physics; Mathematical analysis; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02060952079627587,"gpt":0.1573565478640115,"spread":0.1367470270677357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001035183,0.00005829451,0.0001905992,0.0000618279,0.00005984765,0.00001832065,0.0001021572,0.00004086051,0.0002436673],"category_scores_gemma":[0.00001065316,0.0000462301,0.00008547228,0.00007731638,0.00003519322,0.0001163555,0.00003485179,0.00003599679,0.00009967461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006887307,"about_ca_system_score_gemma":0.000001561056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370388,"about_ca_topic_score_gemma":0.0005361163,"domain_scores_codex":[0.9994135,0.000006000002,0.000372131,0.0001126451,0.00001664805,0.00007903847],"domain_scores_gemma":[0.9995504,0.00001536312,0.0002417664,0.0001560451,0.00001221001,0.0000242001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002110023,0.00001633148,0.03335999,0.00003770678,0.00003277582,1.357597e-7,0.0001427963,0.0001606406,0.000001674206,0.9620643,0.000438413,0.003743152],"study_design_scores_gemma":[0.0001992819,0.00001544819,0.01243602,0.000009058325,0.000007482204,0.000004991512,0.0001793003,0.9791077,0.00002655002,0.005154133,0.002769698,0.00009033304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6231694,0.0009809909,0.08646206,0.005112072,0.0003880459,0.0002604415,0.0001368779,0.00003691305,0.2834532],"genre_scores_gemma":[0.9976085,0.00008139887,0.00008853715,0.00006785413,0.00002800423,0.000003254062,0.000003539909,0.000004392796,0.002114489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.978947,"threshold_uncertainty_score":0.2667986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054556883","doi":"10.5539/jas.v3n1p212","title":"Empirical Analysis on the Relationship between Tourism Development and Economic Growth in Sichuan","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Tourism; Variance decomposition of forecast errors; Pillar; Economics; Econometric analysis; Government (linguistics); Economic geography; Econometric model; Variance (accounting); Econometrics; Regional science; Economy; Geography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1019896682875926,"gpt":0.2471053730821102,"spread":0.1451157047945175,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325064,0.00009006721,0.0003212355,0.0004423738,0.0001728934,0.00006794531,0.0003515484,0.00003915789,0.00006198646],"category_scores_gemma":[0.0001750781,0.0000512523,0.0001273345,0.0007230502,0.0001516532,0.0003908897,0.00004354562,0.00016837,0.00005355694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283042,"about_ca_system_score_gemma":0.00004651817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002459547,"about_ca_topic_score_gemma":0.0001300776,"domain_scores_codex":[0.9988695,0.00001817089,0.0006860987,0.0001991172,0.00006069774,0.0001664087],"domain_scores_gemma":[0.9990193,0.0002118256,0.0005457587,0.00007888067,0.00003746921,0.0001067658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003428523,0.00001439172,0.9627531,7.0577e-7,0.00005744728,0.00000118476,0.0008076316,0.00008238225,0.000001118757,0.03611448,0.00009787169,0.00006621022],"study_design_scores_gemma":[0.00008841628,0.00003629978,0.9908261,0.000005358579,0.00002209062,0.000003524916,0.0002009836,0.00006391179,0.0000499571,0.008489126,0.0001243555,0.00008986118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936873,0.00007467854,0.000124076,0.002287993,0.00005504712,0.00003855604,0.000002589846,0.000001960912,0.003727852],"genre_scores_gemma":[0.999212,0.00001862427,0.0004850093,0.0000976997,0.00007079698,0.000001442646,6.980737e-7,0.000001810453,0.0001118919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02807297,"threshold_uncertainty_score":0.2090008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W222096168","doi":"","title":"Correct Partitioning of Regional Growth Rates: Improvements in Shift-Share Theory *","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Humanities; Mathematics; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.03810562206614388,"gpt":0.2212146562116809,"spread":0.183109034145537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00197936,0.000116285,0.0003650841,0.0009198746,0.0001772471,0.00006186096,0.0004816246,0.00005373056,0.0005240648],"category_scores_gemma":[0.0004727477,0.0001196196,0.0001693105,0.0007881772,0.000572473,0.0005568942,0.00001116423,0.0001682622,0.00003087853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830671,"about_ca_system_score_gemma":0.001335469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005838755,"about_ca_topic_score_gemma":0.007993814,"domain_scores_codex":[0.9984505,0.00003415295,0.000789899,0.0002570553,0.0001070017,0.0003614567],"domain_scores_gemma":[0.9984252,0.00009178372,0.0007481787,0.000141764,0.0001786324,0.0004144812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001615197,0.00002729715,0.2241647,0.000008965638,0.00003312045,0.00002259172,0.0005108038,0.0005537248,0.00002797783,0.7729656,0.001402547,0.0002665059],"study_design_scores_gemma":[0.001300961,0.0002339512,0.2663828,0.0002485554,0.00001815845,0.0001361719,0.001082123,0.001035525,0.0003555942,0.6947419,0.03391303,0.0005512164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762347,0.003421244,0.003412693,0.0033074,0.000647866,0.000146605,0.00006451267,0.00000378474,0.01276117],"genre_scores_gemma":[0.9986687,0.0001132527,0.0003103198,0.0005628283,0.00005177995,0.000002779111,0.000003055045,0.000007604103,0.0002796726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0782237,"threshold_uncertainty_score":0.8826489,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020748438","doi":"10.1002/2013wr014849","title":"Incorporating spatial dependence in regional frequency analysis","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Environment Canada","keywords":"Environmental science; Frequency analysis; Spatial dependence; Geology; Remote sensing; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.07868908427463353,"gpt":0.2807735009548897,"spread":0.2020844166802561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00364046,0.0001530509,0.0005511273,0.001813821,0.0002280084,0.0001685509,0.0006006706,0.000133141,0.0006152972],"category_scores_gemma":[0.0001594653,0.0001356084,0.0002348261,0.00105598,0.0002223889,0.0002023453,0.0001955679,0.0004298726,0.001465385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688953,"about_ca_system_score_gemma":0.00001349687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03690599,"about_ca_topic_score_gemma":0.009668831,"domain_scores_codex":[0.9975235,0.0001913394,0.0007923352,0.0007002943,0.0001826932,0.0006098356],"domain_scores_gemma":[0.9989917,0.0001572942,0.0001491668,0.0004788088,0.00007722584,0.0001458587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003714318,0.00008631719,0.9348327,0.00001883702,0.0002602035,0.00001548984,0.001764598,0.004048494,0.0001249101,0.05650632,0.0001057112,0.002199293],"study_design_scores_gemma":[0.001035756,0.0002102929,0.2787478,0.00003135666,0.00003881782,0.000005802461,0.000360044,0.2347864,0.0003280467,0.4088028,0.07483771,0.0008151557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707473,0.0002947091,0.005638026,0.002185999,0.0000385881,0.0001302576,0.0000120755,0.00003112404,0.02092192],"genre_scores_gemma":[0.9978985,0.00004530492,0.000428022,0.0001282003,0.000206878,0.00004146952,0.0000413217,0.00002437249,0.00118592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6560849,"threshold_uncertainty_score":0.9993121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094015546","doi":"10.2960/j.v51.m727","title":"A state-space stock assessment model for American plaice on the Grand Bank of Newfoundland","year":2020,"lang":"en","type":"article","venue":"Journal of Northwest Atlantic Fishery Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Ocean Frontier Institute; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada First Research Excellence Fund; Danmarks Tekniske Universitet","keywords":"Stock (firearms); Fishery; Stock assessment; Oceanography; Geography; Business; Geology; Archaeology; Biology; Fishing","retraction":null,"screen_n_in":null,"score":{"opus":0.04800951695002723,"gpt":0.2472029893717684,"spread":0.1991934724217411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009519755,0.0001261071,0.0005317615,0.0001709645,0.000175712,0.000107067,0.0006052658,0.00002028806,0.00002744853],"category_scores_gemma":[0.0001989042,0.00009192504,0.0002313459,0.0005039764,0.0004228319,0.0003503521,0.00004078508,0.0001617889,0.000006877399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009258,"about_ca_system_score_gemma":0.0002335819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00098152,"about_ca_topic_score_gemma":0.0007592706,"domain_scores_codex":[0.9985971,0.00001349132,0.0007623218,0.0002530123,0.000145345,0.0002286673],"domain_scores_gemma":[0.9979057,0.000259105,0.001347095,0.0001826535,0.0001474414,0.0001579954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002565072,0.0001518493,0.8653308,0.00003473661,0.0001695041,0.000006480856,0.001247903,0.1091734,0.000104073,0.01995327,0.002567098,0.001004474],"study_design_scores_gemma":[0.0007204795,0.000889071,0.2103816,0.00002863404,0.00003498973,0.000009639046,0.0001373041,0.7768393,0.00001651601,0.006425526,0.004287968,0.0002289194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362856,0.00003574607,0.051169,0.01144736,0.0001072122,0.0001439001,0.00007940453,0.000003266375,0.0007284943],"genre_scores_gemma":[0.9970667,0.0001182056,0.001728415,0.0009037675,0.00008029446,0.000003563976,0.000002468505,0.000008849428,0.00008778747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.667666,"threshold_uncertainty_score":0.3748595,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1532827379","doi":"10.1111/j.1541-0064.2012.00435.x","title":"Economic growth and restructuring in Canada's heartland and hinterland: From shift‐share to multifactor partitioning","year":2012,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Université de Moncton; Carleton University","funders":"","keywords":"Restructuring; Geography; Distribution (mathematics); Census; Mainland; Population; Globalization; Economy; Economic geography; Economic restructuring; Economics; Demography; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.01035163084727204,"gpt":0.1664695518931653,"spread":0.1561179210458933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001350756,0.0002768924,0.0005311755,0.001859975,0.000250585,0.0001237861,0.0001731491,0.00009014592,0.0001772086],"category_scores_gemma":[0.00005083005,0.0003304418,0.00008590375,0.0004929733,0.0001780271,0.0003566159,0.00005232314,0.0001481516,0.00001129799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003478839,"about_ca_system_score_gemma":0.0001399231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996796,"about_ca_topic_score_gemma":0.9999831,"domain_scores_codex":[0.9980406,0.00001869202,0.0005258243,0.0005207187,0.00002980174,0.0008643371],"domain_scores_gemma":[0.9982466,0.00009834392,0.0001335694,0.0002284428,0.00001183077,0.001281287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008486807,0.000002541343,0.9891804,0.00001299932,0.0000833198,0.000009751735,0.0009654233,0.00003457589,8.94085e-7,0.008645954,0.0004391059,0.0006165635],"study_design_scores_gemma":[0.000257896,0.00001776304,0.9837191,0.00003064773,0.00001107501,0.000007127236,0.0014332,0.0001185393,0.000005017456,0.004163083,0.009809607,0.000426958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991562,0.003758112,0.000003418297,0.00207122,0.0003904125,0.0001704471,0.001456659,0.00001271195,0.000575015],"genre_scores_gemma":[0.9980214,0.0008771334,0.0001047034,0.0006663692,0.0001437862,0.00003865681,0.00009927399,0.000028578,0.00002014459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0093705,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981470336","doi":"10.1111/j.1467-7717.2011.01268.x","title":"Effects of the Bam earthquake on employment: a shift‐share analysis","year":2011,"lang":"en","type":"article","venue":"Disasters","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Term (time); Poison control; Forensic engineering; Econometrics; Demographic economics; Economics; Engineering; Environmental health; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.0279470615195369,"gpt":0.1874736967984571,"spread":0.1595266352789202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001097744,0.0001192823,0.0003908726,0.0002133668,0.00005772333,0.00001517474,0.0002865215,0.00004811703,0.000529588],"category_scores_gemma":[0.0000291348,0.00009639797,0.000535776,0.0004257831,0.00007094587,0.0000723565,0.00004965038,0.00006485302,0.0003202826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003068887,"about_ca_system_score_gemma":0.000005896812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007806808,"about_ca_topic_score_gemma":0.0001945988,"domain_scores_codex":[0.9991234,0.00001887393,0.0003866371,0.0002753939,0.00003496386,0.0001607363],"domain_scores_gemma":[0.9992324,0.00004992943,0.0002993494,0.000354703,0.000008792904,0.00005485081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008851427,0.0004095643,0.7664556,0.00006542051,0.003281536,0.000004434123,0.007404885,0.0009160095,0.000007387323,0.218819,0.0005372076,0.002010473],"study_design_scores_gemma":[0.0003272352,0.00007021613,0.9885234,0.00001726059,0.0001931931,1.535618e-7,0.0001113105,0.0008019946,0.0002814093,0.00768851,0.001804446,0.0001809065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798982,0.0001714472,0.0006742428,0.0002151061,0.0001385938,0.0001257608,0.0000720852,0.000009780828,0.01869483],"genre_scores_gemma":[0.9986054,0.0000191068,0.00002920894,0.0003614242,0.00002195953,0.00001689987,0.000008827,0.00001071604,0.0009264469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2220678,"threshold_uncertainty_score":0.5798616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123479883","doi":"10.1111/j.0008-4085.2004.00252.x","title":"The disintegrating Canadian labour market? The extent of the market then and now","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"University of Calgary; Carleton University","funders":"","keywords":"Unemployment; Economics; Labour economics; Market integration; Unemployment rate; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.05891863215206306,"gpt":0.156873619736714,"spread":0.09795498758465096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00198252,0.0003008203,0.0006979262,0.0003994319,0.0008598255,0.0002898092,0.001270044,0.0001597893,0.0003891999],"category_scores_gemma":[0.0004162925,0.0002142559,0.0004514498,0.0002047847,0.0005944318,0.0002985362,0.00005008925,0.000475032,0.00001771763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002031588,"about_ca_system_score_gemma":0.002213254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8165349,"about_ca_topic_score_gemma":0.9987184,"domain_scores_codex":[0.9973463,0.0000690067,0.001444352,0.0003598151,0.000004154704,0.00077632],"domain_scores_gemma":[0.9963619,0.0002903513,0.00142584,0.0006795764,0.0001360908,0.00110629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002857729,0.000006598516,0.02675979,0.00001523765,0.0003267756,0.00001493219,0.001003715,0.00284063,0.000001112802,0.9653079,0.002184181,0.001510529],"study_design_scores_gemma":[0.0007828145,0.0001167115,0.06085974,0.0001151552,0.00006270824,0.0003247661,0.001880072,0.003117904,0.00002316066,0.7170178,0.2152038,0.0004953386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479468,0.002107106,0.00005875405,0.03888059,0.001133264,0.0002863941,0.0004555938,0.000002199635,0.009129264],"genre_scores_gemma":[0.9936589,0.0009920452,0.0001113323,0.001231669,0.0003498112,0.00001437157,0.000002640223,0.00004180488,0.003597438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2482901,"threshold_uncertainty_score":0.8737103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1489080068","doi":"10.1002/0471461288.ch8","title":"Proportionate Adaptation: New Paradigms in Adaptive Filters","year":2003,"lang":"en","type":"other","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"A priori and a posteriori; Kalman filter; Adaptation (eye); Notation; Norm (philosophy); Adaptive filter; Mathematics; Algorithm; Convergence (economics); Computer science; Applied mathematics; Statistics; Arithmetic","retraction":null,"screen_n_in":null,"score":{"opus":0.05442858086548562,"gpt":0.204030043861765,"spread":0.1496014629962794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001304456,0.0002297683,0.0006120398,0.0005857935,0.00001909838,0.00002973508,0.0001668132,0.0002251694,0.02896426],"category_scores_gemma":[0.00001593952,0.0002523543,0.000181448,0.0002175017,0.00004307058,0.00007745512,0.00001632502,0.0001349726,0.003569141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311846,"about_ca_system_score_gemma":0.00007830797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240663,"about_ca_topic_score_gemma":0.003976923,"domain_scores_codex":[0.9986056,0.0000103873,0.000617799,0.0005172858,0.00003008209,0.0002188285],"domain_scores_gemma":[0.9991007,0.0000132208,0.0005323075,0.0002485721,0.000006456795,0.00009869599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005923057,0.00002768874,0.001204692,0.000006656524,0.0001153683,0.000005392732,0.00005374085,0.0005223231,1.313046e-8,0.4934915,0.5036501,0.000916541],"study_design_scores_gemma":[0.0003781567,0.00002419969,0.0003342907,0.0000240659,0.000007194522,0.000001576488,0.00004833418,0.004122638,3.278408e-7,0.0398914,0.9548138,0.0003540075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001119979,0.002529069,0.02423093,0.0006560974,0.0002617164,0.0002277484,0.00006501362,0.00004212413,0.9719761],"genre_scores_gemma":[0.002982312,0.0008362437,0.003599912,0.0004471294,0.0001737026,0.00002737352,0.00007947461,0.0001592745,0.9916946],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4536001,"threshold_uncertainty_score":0.9999928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3084419370","doi":"10.18280/ijdne.150418","title":"Industrial Transfer and Spatial Structure Optimization of Beijing, Tianjin and Hebei Province","year":2020,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Beijing; Geography; Transfer (computing); Computer science; China; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.02006055154971379,"gpt":0.2060947773827708,"spread":0.186034225833057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002012365,0.000118453,0.0003636662,0.0001820995,0.0000327083,0.0000681351,0.0001572455,0.000211138,0.00005407957],"category_scores_gemma":[0.0001051329,0.0001151079,0.00007149907,0.00006506662,0.00006723418,0.0002710841,0.00003378342,0.0003291361,4.527294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003202538,"about_ca_system_score_gemma":0.00004673907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000058268,"about_ca_topic_score_gemma":0.00004410917,"domain_scores_codex":[0.9990375,0.00001944199,0.0006032447,0.000184535,0.00007069748,0.00008458712],"domain_scores_gemma":[0.9992945,0.00006280188,0.0003993446,0.00004412952,0.0001016359,0.0000975756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004983479,0.0003376856,0.3226694,0.0002254508,0.004976538,0.0001772174,0.004788686,0.4197699,0.001261909,0.1712361,0.001840989,0.06773262],"study_design_scores_gemma":[0.003330358,0.0005822275,0.007667587,0.00007484027,0.0001125655,0.0001110654,0.0001224409,0.9712934,0.0001845217,0.01418131,0.001958233,0.0003813919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5813032,0.002091271,0.410759,0.004915406,0.000425625,0.0001330486,0.0002394154,0.000004921066,0.0001281651],"genre_scores_gemma":[0.9951675,0.001030866,0.003033439,0.0003755193,0.0003467109,3.945896e-7,0.0000164468,0.00001072925,0.00001842728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5515236,"threshold_uncertainty_score":0.4693962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1969376017","doi":"10.1057/ces.2001.10","title":"On the Emergence of Labour Redundancy in China's State Industry: Findings from a 1980-1994 Data Panel","year":2001,"lang":"en","type":"article","venue":"Comparative Economic Studies","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"","keywords":"Economics; China; Subsidy; Panel data; State ownership; Wage; Redundancy (engineering); Labour economics; Labor cost; Marginal product of labor; Cash; Marginal product; Emerging markets; Econometrics; Macroeconomics; Market economy; Production (economics); Geography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.2802773044789943,"gpt":0.3285558848585626,"spread":0.04827858037956823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005534799,0.0002503873,0.001016785,0.0002076153,0.0001449217,0.00003576653,0.0008273748,0.00008021588,0.001118101],"category_scores_gemma":[0.0001158768,0.00021924,0.0001092433,0.0002173551,0.0002755298,0.0002774592,0.0003404294,0.0003105301,0.0005244566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144974,"about_ca_system_score_gemma":0.00003599003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004836395,"about_ca_topic_score_gemma":0.002514155,"domain_scores_codex":[0.997938,0.00004698154,0.001029322,0.0006856007,0.00002971151,0.0002703907],"domain_scores_gemma":[0.9981797,0.0004061356,0.0005862193,0.0007600344,0.00001715391,0.00005072913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001572506,0.0001759663,0.5131603,0.00001495097,0.001369295,0.000006838246,0.00790073,0.008256319,0.000007658452,0.4430651,0.02560905,0.0002765609],"study_design_scores_gemma":[0.00101872,0.0001219817,0.6673262,0.00008736497,0.00002395287,0.000001473676,0.005014401,0.02434314,0.00007756618,0.2854367,0.01593994,0.0006085311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985397,0.003374305,0.00009689573,0.002124562,0.0003409065,0.0002022635,0.001155086,0.00001079693,0.007298204],"genre_scores_gemma":[0.9953218,0.002475325,0.00005489144,0.0002021279,0.00008764282,0.0000356256,0.00004365702,0.00001333218,0.001765668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1576284,"threshold_uncertainty_score":0.999795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1584279626","doi":"10.3968/j.css.1923669720110705.115","title":"The TOPSIS Analysis on Regional Disparity of Economic Development in Zhejiang Province","year":2011,"lang":"en","type":"article","venue":"Canadian social science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"TOPSIS; Political science; Geography; Humanities; Regional development; Regional science; Economy; Welfare economics; Operations research; Economics; Philosophy; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04571219121366454,"gpt":0.2168067723695878,"spread":0.1710945811559232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008866581,0.00008794498,0.0002735472,0.000540292,0.0004456667,0.00004283578,0.0005555031,0.00004936383,0.0001848879],"category_scores_gemma":[0.00003926904,0.0000843039,0.0001268707,0.0007490464,0.0005045132,0.0001506495,0.00003169201,0.00007754196,0.00008848014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059229,"about_ca_system_score_gemma":0.0006142526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1058102,"about_ca_topic_score_gemma":0.4100688,"domain_scores_codex":[0.9987867,0.00001027019,0.0004533665,0.0003460703,0.000046741,0.0003568557],"domain_scores_gemma":[0.9993476,0.00003233947,0.0002404474,0.0001860349,0.0000234946,0.0001700784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004345101,0.00001286671,0.3781097,0.000001156704,0.00005732297,0.000001214342,0.0007420639,0.00002974388,5.575661e-7,0.6189324,0.0001592086,0.001949487],"study_design_scores_gemma":[0.0001172133,0.00001582309,0.9543351,0.000003113226,0.00001408553,2.142424e-7,0.000390029,0.001712627,0.00004235261,0.01230766,0.03083611,0.0002256943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7233836,0.0001468831,0.0001942718,0.001127772,0.0001561508,0.0001490005,0.00004429078,0.000006076594,0.2747919],"genre_scores_gemma":[0.9990669,0.00002383115,0.0001029981,0.0002166836,0.00003030746,0.00001176436,0.000003089327,0.000003798125,0.0005406368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6066247,"threshold_uncertainty_score":0.9001443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2250186706","doi":"","title":"A Dynamic Shift-Share Analysis of Economic Growth in West Virginia","year":2012,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Real estate; Tertiary sector of the economy; Agriculture; Economic sector; Investment (military); Shift-share analysis; Economics; West virginia; Economic expansion; Business; Economy; Finance; Geography; Macroeconomics; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.02248385229675074,"gpt":0.2259526773584077,"spread":0.2034688250616569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266359,0.000123384,0.0007473988,0.0008113041,0.0001083755,0.00002349312,0.0002731699,0.00006025212,0.0002776671],"category_scores_gemma":[0.00002945654,0.0001187504,0.0002027446,0.000282005,0.00005522104,0.0003391047,0.0001008619,0.0003183485,0.00002921533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312962,"about_ca_system_score_gemma":0.00004331155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340936,"about_ca_topic_score_gemma":0.00131695,"domain_scores_codex":[0.9985437,0.00006690613,0.001111752,0.00005614307,0.00003399662,0.0001874696],"domain_scores_gemma":[0.9987921,0.000110757,0.0008233864,0.0001328958,0.00002847455,0.0001124154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004263103,0.0002447749,0.9789925,0.00002705124,0.001254319,9.118205e-7,0.007658144,0.0003117245,0.000003659941,0.008841157,0.00002944468,0.002593669],"study_design_scores_gemma":[0.0003304657,0.00004246223,0.9933924,0.00002895962,0.00007366868,0.00000707815,0.00193755,0.0009752486,0.0000123033,0.002517314,0.0005339478,0.0001485666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969383,0.001453772,0.0002887333,0.0003962211,0.00008864381,0.00003455105,0.00002620803,0.000002127958,0.000771468],"genre_scores_gemma":[0.9986887,0.0006065054,0.0005296826,0.00006532755,0.00001606206,0.000002232292,0.00002020084,0.000006362814,0.00006495542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01439992,"threshold_uncertainty_score":0.48425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122064566","doi":"","title":"User Guide for Statistics Canada's Annual Multifactor Productivity Program","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Business sector; Construct (python library); Industrial organization; Economics; Computer science; Economy; Macroeconomics; Total factor productivity","retraction":null,"screen_n_in":null,"score":{"opus":0.04394387012952411,"gpt":0.3154382662913919,"spread":0.2714943961618678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003248353,0.0005308173,0.001431997,0.0008157419,0.0002442436,0.0002051177,0.001006878,0.0005722165,0.0001668979],"category_scores_gemma":[0.001419285,0.0006631202,0.0003150863,0.0002061832,0.0003386124,0.0001691374,0.0007144013,0.001335418,0.00002504626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404562,"about_ca_system_score_gemma":0.001829239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2164731,"about_ca_topic_score_gemma":0.6275359,"domain_scores_codex":[0.9945558,0.00007515362,0.001982812,0.001901083,0.0001340318,0.001351085],"domain_scores_gemma":[0.9964229,0.0007408456,0.0008589865,0.001272314,0.0003364007,0.0003685777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005417514,0.001509519,0.1230028,0.001050229,0.00161217,0.00008488436,0.0006300671,0.03653088,0.000006505899,0.04767788,0.03066012,0.7566932],"study_design_scores_gemma":[0.0008179309,0.0001387108,0.03897027,0.00005071496,0.0000164834,0.000002894498,0.0002663869,0.02955074,0.00002184789,0.01042768,0.9187488,0.0009875515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628775,0.002094734,0.005446531,0.005263722,0.006491888,0.01503822,0.06823832,0.0002978884,0.1342512],"genre_scores_gemma":[0.8542322,0.009036724,0.0575251,0.0006100279,0.00306128,0.003874303,0.004157098,0.0005451947,0.06695808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8880886,"threshold_uncertainty_score":0.999582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2372394265","doi":"","title":"Study on a new model for urban residential quarter of 21st century","year":2000,"lang":"en","type":"article","venue":"Journal of the University of Shanghai for Science and Technology","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Connotation; Residence; Order (exchange); Sustainable development; Geography; Environmental planning; Civil engineering; Architectural engineering; Business; Engineering; Sociology; Political science; Demography; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.02217090854350715,"gpt":0.2042233475812353,"spread":0.1820524390377282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521976,0.0000444104,0.0002330531,0.0003903332,0.0001380215,0.000006913339,0.0004782689,0.00004417295,0.00002282811],"category_scores_gemma":[0.00003686444,0.00003861137,0.0001142133,0.0002578162,0.0003051494,0.0001464028,0.00003660595,0.00005163694,0.000001239019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004164083,"about_ca_system_score_gemma":0.00007456127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007135576,"about_ca_topic_score_gemma":0.00004519019,"domain_scores_codex":[0.9995245,0.000002354,0.0002193526,0.0001178185,0.00004154512,0.00009447518],"domain_scores_gemma":[0.9993491,0.00001805019,0.0003853293,0.0001263848,0.00009062428,0.00003047816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001891603,0.001620324,0.0953382,0.00008360716,0.000863693,0.000006279528,0.01524368,0.006566497,0.001207514,0.8077587,0.02621055,0.04320933],"study_design_scores_gemma":[0.01694516,0.01054184,0.04452285,0.0002397646,0.000572615,0.00005798041,0.04583473,0.1737885,0.002451942,0.6509341,0.05315481,0.0009556808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992143,0.0001419512,0.002512862,0.004324968,0.00006277122,0.0001542762,0.00002471929,0.000002261992,0.0006331577],"genre_scores_gemma":[0.9984975,0.000103854,0.0005785529,0.00002667059,0.00001635175,1.061678e-7,1.074342e-7,0.000001835868,0.0007749529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.167222,"threshold_uncertainty_score":0.1574526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2079674913","doi":"10.4236/ti.2013.44027","title":"A Study on Chinese Regional Scientific Innovation Efficiency with a Perspective of Synergy Degree","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Degree (music); Process (computing); Computer science; Industrial organization; Economics; Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03777640122650919,"gpt":0.2299177084645778,"spread":0.1921413072380686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001614316,0.0001036443,0.0002568916,0.001093338,0.0001117927,0.0000215748,0.0001227598,0.00006474226,0.00005616622],"category_scores_gemma":[0.00004126971,0.0000817941,0.00002485745,0.001110695,0.0004123237,0.00009663987,0.00003897491,0.0000829266,0.00006667323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006222685,"about_ca_system_score_gemma":0.00002007079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003272546,"about_ca_topic_score_gemma":0.00003859913,"domain_scores_codex":[0.9991829,0.000006059412,0.0003109156,0.0003504689,0.0000317249,0.0001178811],"domain_scores_gemma":[0.9993951,0.00001518228,0.0002418878,0.0002363148,0.0000898371,0.00002168385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001000202,0.0002947684,0.0738165,0.000002106913,0.00007465758,9.406964e-7,0.000393163,0.00003339443,0.00002968544,0.9251309,0.00008451451,0.0001293378],"study_design_scores_gemma":[0.0008310429,0.00123722,0.2352954,0.00001292386,0.00001079995,0.000006767699,0.002712338,0.001308469,0.00008435141,0.7579089,0.0004012464,0.0001905596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989087,0.0002792276,0.000319366,0.002057205,0.00002991149,0.0002624182,0.000004079875,0.00002383249,0.007936954],"genre_scores_gemma":[0.9990345,0.000006403166,0.0001739036,0.000205007,0.000008667274,0.00007924868,0.000003499284,0.000005622193,0.0004831157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.167222,"threshold_uncertainty_score":0.3335467,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090032978","doi":"10.1007/s10700-006-7329-7","title":"Fuzzy Model of Regional Economic Competitiveness in GIS Spatial Analysis: Case Study of Gansu, Western China","year":2006,"lang":"en","type":"article","venue":"Fuzzy Optimization and Decision Making","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"China; Geography; Economic base analysis; Economic geography; Regional science; Fuzzy logic; Order (exchange); Economic growth; Business; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03141016111007617,"gpt":0.2576132342873334,"spread":0.2262030731772572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000404182,0.0001640128,0.0007834776,0.001042702,0.00007613956,0.00004339949,0.0001361673,0.00008691932,0.00010132],"category_scores_gemma":[0.00001495249,0.0001843658,0.0001654502,0.0004057732,0.00006043716,0.0002122832,0.00007041895,0.00007215588,0.00000457116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007151577,"about_ca_system_score_gemma":0.00002460934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008611113,"about_ca_topic_score_gemma":0.008699728,"domain_scores_codex":[0.9980274,0.00002884726,0.001283661,0.0004535401,0.00006209231,0.0001444201],"domain_scores_gemma":[0.9987726,0.0001086221,0.0007723258,0.0002594893,0.00004741384,0.00003953561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000517485,0.0001689983,0.2810421,0.000006739529,0.00008893033,0.00001154533,0.0002552764,0.7104881,4.591278e-7,0.007336216,0.000004305241,0.000545621],"study_design_scores_gemma":[0.001062874,0.00005738073,0.07762612,0.0000232058,0.0000685305,0.00001283708,0.0003777312,0.9086286,9.246901e-7,0.01196003,0.000006550339,0.0001752408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7148487,0.000159421,0.2834383,0.00002369202,0.00003589354,0.0001346234,0.0000558715,0.000006029079,0.001297473],"genre_scores_gemma":[0.9928439,0.00008594004,0.006913082,0.00002214977,0.00003187148,0.000009551061,0.00002898922,0.00001447679,0.00005004829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2779952,"threshold_uncertainty_score":0.9979906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1559125313","doi":"10.22004/ag.econ.132342","title":"A Demographically Augmented Shift-Share Employment Analysis: An Application to Canadian Employment Patterns","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Labour economics; Demographic economics; Econometrics","retraction":null,"screen_n_in":null,"score":{"opus":0.03859675840843941,"gpt":0.2168445235883786,"spread":0.1782477651799391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004641575,0.0001833139,0.0005804853,0.001609072,0.0003726604,0.00002686353,0.0005984416,0.0001199949,0.002107911],"category_scores_gemma":[0.00001204043,0.0002555402,0.0003667978,0.001096568,0.0001060231,0.0003364268,0.0001017377,0.0001375771,0.0007051059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342717,"about_ca_system_score_gemma":0.0001073239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4555565,"about_ca_topic_score_gemma":0.6515225,"domain_scores_codex":[0.9983106,0.00005423618,0.0004004557,0.0006782101,0.0001117056,0.0004447651],"domain_scores_gemma":[0.9984146,0.00003719527,0.0002113403,0.0005604215,0.00009385717,0.0006826282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007303395,0.0002358371,0.9807537,0.00001573706,0.001302192,0.00005973136,0.003013662,0.002691758,0.00002091833,0.008687217,0.001034756,0.002111425],"study_design_scores_gemma":[0.0004877778,0.0001983467,0.967783,0.000008332102,0.0001052926,0.000002452095,0.0007056467,0.01193683,0.00001003422,0.0003506542,0.01806207,0.0003495749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628261,0.00006071764,0.03058615,0.004438621,0.00002696671,0.0003205698,0.0007472844,0.00002057533,0.000972996],"genre_scores_gemma":[0.9970264,0.0002303203,0.000636151,0.0004775995,0.00002919762,0.000005332518,0.0004135413,0.00001507305,0.001166405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195966,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212967119","doi":"10.33423/jabe.v23i4.4464","title":"Impact of AGOA on Agricultural Exports Growth of Member Countries: A Dynamic Shift-Share Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Commodity; Agriculture; International trade; International economics; Export performance; Member states; Economics; Business; Agricultural economics; European union; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01375226215170729,"gpt":0.2074091784452858,"spread":0.1936569162935785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003048235,0.0002146898,0.001431264,0.0005046666,0.00005142531,0.00006067006,0.0001808003,0.0001228591,0.0005496551],"category_scores_gemma":[0.0000306966,0.0001854422,0.0006691494,0.0005389955,0.00009236293,0.0002518216,0.00005426426,0.0001234606,0.000009723556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001632107,"about_ca_system_score_gemma":0.0001120898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002037131,"about_ca_topic_score_gemma":0.0001884435,"domain_scores_codex":[0.9979612,0.000006386038,0.00151797,0.0002844143,0.00004169927,0.000188292],"domain_scores_gemma":[0.9970318,0.00007475451,0.00230327,0.0002174258,0.0002647782,0.0001079449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001384661,0.00121066,0.5185422,0.0005193737,0.01934344,0.00004955196,0.00224985,0.1993133,0.0003075477,0.2549345,0.0008406136,0.001304192],"study_design_scores_gemma":[0.001084769,0.0001140267,0.9775088,0.00003843671,0.00044698,0.00002461571,0.0002742505,0.002795448,0.0001382354,0.0168556,0.0003668357,0.0003519838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951569,0.0005527772,0.0004523123,0.0003067462,0.0001011743,0.00005585215,0.0002676824,0.000002542992,0.003104029],"genre_scores_gemma":[0.9968936,0.002615356,0.0002183464,0.00006398348,0.00008016172,0.000002463592,0.00005449323,0.00001491275,0.00005667867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4589666,"threshold_uncertainty_score":0.7562113,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106124737","doi":"10.1016/j.labeco.2015.08.003","title":"The Wage Response to Shocks: The Role of Inter-Occupational Labour Adjustment","year":2015,"lang":"en","type":"article","venue":"Labour Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Spillover effect; Shock (circulatory); Economics; Labour economics; Wage; Real wages; Wage growth; Composition (language); Demographic economics; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.0264583310346575,"gpt":0.2238688105233536,"spread":0.1974104794886961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001677893,0.0001801962,0.0004008613,0.0001397803,0.0001727623,0.0001073297,0.000686439,0.00008045429,0.0001991311],"category_scores_gemma":[0.0002795111,0.0001391698,0.0002026081,0.0001740408,0.00009630623,0.0001677521,0.0001910406,0.0001284386,0.0008955188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003017688,"about_ca_system_score_gemma":0.0001288822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170227,"about_ca_topic_score_gemma":0.000708794,"domain_scores_codex":[0.9983702,0.00005853318,0.0008828628,0.0003536096,0.00003264407,0.0003021624],"domain_scores_gemma":[0.9983246,0.0003015589,0.0004958475,0.0006134654,0.00008825807,0.0001762912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005491101,0.00004615756,0.03561713,0.000002243112,0.0001595555,2.899177e-7,0.000688499,0.004418169,0.00000853642,0.9544724,0.0007275433,0.003310362],"study_design_scores_gemma":[0.0004991217,0.0001245157,0.08452252,0.0000053556,0.00001100683,0.000003183654,0.001247976,0.00351762,0.000108932,0.2681302,0.6415805,0.0002490794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985922,0.001468708,0.0006528932,0.00704392,0.000497993,0.0002316242,0.0004277854,0.00001540524,0.003739679],"genre_scores_gemma":[0.9923143,0.0003120288,0.0002984623,0.001071683,0.0002553693,0.00005841079,0.00001343809,0.00002482882,0.005651516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6863422,"threshold_uncertainty_score":0.9998824,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2894349062","doi":"10.1111/grow.12267","title":"The elusive quest for balanced regional growth from Barlow to Brexit: Lessons from partitioning regional employment growth in Great Britain","year":2018,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Brexit; Hierarchy; Government (linguistics); Regional policy; European union; Regional science; Commission; Sustainable growth rate; Economics; Economic geography; Political science; Geography; International trade; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.07384580607520129,"gpt":0.2551113107814593,"spread":0.181265504706258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002597935,0.0002327711,0.0004516738,0.000172322,0.000380054,0.0001374118,0.0002800473,0.0001568121,0.00007913246],"category_scores_gemma":[0.0001020932,0.0002226303,0.0001573167,0.0002157115,0.0001880555,0.0002957362,0.00009114908,0.0001411582,0.0001051604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153835,"about_ca_system_score_gemma":0.00003421167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244705,"about_ca_topic_score_gemma":0.01263521,"domain_scores_codex":[0.9982518,0.0000255064,0.0005274921,0.0006859875,0.00006723502,0.0004420069],"domain_scores_gemma":[0.9990293,0.0002347655,0.0002359671,0.000207399,0.00009165853,0.0002008771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003845874,0.0001070581,0.1798788,0.00002271248,0.0002565136,0.000007892181,0.004002617,0.000003652112,0.00003562705,0.8072765,0.006663614,0.001360427],"study_design_scores_gemma":[0.001979567,0.0002967013,0.3897312,0.000129784,0.00003328083,0.000003261175,0.0003888493,0.001379597,0.0001480381,0.5919029,0.0133834,0.0006234891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8577321,0.003864625,0.007828146,0.1255684,0.0005293574,0.0009443508,0.001836071,0.00005617435,0.001640791],"genre_scores_gemma":[0.9909989,0.00136852,0.0005947194,0.004737298,0.001419915,0.0004195955,0.0002860945,0.00002929476,0.0001456219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2153737,"threshold_uncertainty_score":0.973996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160789873","doi":"10.7202/007574ar","title":"Partition multifactorielle de la croissance de l’emploi des pôles de la région de Québec-Chaudière-Appalaches : 1981-1996","year":2004,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.01129441998835102,"gpt":0.2024245091025409,"spread":0.1911300891141899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00192367,0.0005252216,0.0008059941,0.0006205383,0.0007722756,0.0002935637,0.0005089727,0.0009869434,0.0002174687],"category_scores_gemma":[0.0007853729,0.0006933164,0.0008765631,0.0007586181,0.006778236,0.0004507753,0.0000665202,0.0008307859,0.000150438],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004813536,"about_ca_system_score_gemma":0.001713431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6203626,"about_ca_topic_score_gemma":0.3789447,"domain_scores_codex":[0.9966711,0.0003291979,0.0009037093,0.0007767155,0.00007730401,0.001241906],"domain_scores_gemma":[0.9973179,0.0009230408,0.0005987551,0.0004881863,0.00006977923,0.00060232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001188268,0.00047161,0.8154062,0.0001651261,0.0005767845,0.0001058159,0.009832437,0.02191052,0.0002420878,0.1420373,0.002759549,0.006373732],"study_design_scores_gemma":[0.002358786,0.0002158557,0.5864983,0.0002942547,0.0003781768,0.000276861,0.001695548,0.007449611,0.001127931,0.1920988,0.2061466,0.001459312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063605,0.02255456,0.05421962,0.01348107,0.0002099976,0.0001939975,0.00009397787,0.0001036508,0.002782634],"genre_scores_gemma":[0.9729161,0.01527505,0.004676186,0.001028749,0.000491595,0.0001096101,0.00003333895,0.0001031777,0.005366208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2414179,"threshold_uncertainty_score":0.9995518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037827411","doi":"10.7202/022787ar","title":"La dynamique spatiale des activités économiques au Québec. Analyse pour la période 1971-1991 fondée sur un découpage « centre-périphérie ».","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"McGill University; Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","retraction":null,"screen_n_in":null,"score":{"opus":0.01284729224151262,"gpt":0.1972751626150972,"spread":0.1844278703735846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001879091,0.0009455777,0.001737843,0.001452386,0.0007579309,0.0004061027,0.0009092881,0.00123539,0.001427686],"category_scores_gemma":[0.0006520437,0.001210678,0.001836629,0.001119859,0.005708731,0.001127909,0.0001595948,0.001197902,0.0006796958],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005140142,"about_ca_system_score_gemma":0.002291188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7616321,"about_ca_topic_score_gemma":0.9265053,"domain_scores_codex":[0.9947811,0.0005300438,0.001731946,0.001434456,0.00009595487,0.001426493],"domain_scores_gemma":[0.9953831,0.001460528,0.001224672,0.0009741253,0.0001583749,0.0007991893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002459799,0.001384021,0.6381294,0.0002608561,0.003603252,0.0002180697,0.01093117,0.00718323,0.00006896327,0.09087191,0.009495284,0.2376079],"study_design_scores_gemma":[0.002536121,0.0001393148,0.153029,0.0002115331,0.0007001865,0.0001368382,0.001531805,0.05603481,0.0002365344,0.01090232,0.7723351,0.002206412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915773,0.0212235,0.01385116,0.03341721,0.0003812682,0.000334186,0.000371657,0.0001393443,0.01450873],"genre_scores_gemma":[0.9512269,0.01486314,0.002721069,0.001067247,0.0008898953,0.0000735387,0.000119712,0.0001724461,0.02886603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7628398,"threshold_uncertainty_score":0.9994851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1506488978","doi":"10.34989/swp-2012-31","title":"The Evolution of Canada’s Global Export Market Share","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Market share; Market share analysis; Business; Economics; International economics; International trade; Market microstructure; Order (exchange); Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01541962717251556,"gpt":0.1963391826366404,"spread":0.1809195554641248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009682141,0.00052171,0.001467254,0.0001724236,0.0003829339,0.0001799216,0.001021963,0.000453707,0.004804803],"category_scores_gemma":[0.0003613606,0.0005522466,0.0008225584,0.000223847,0.0003666418,0.0001819271,0.0006323316,0.0005476397,0.0000922791],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004364207,"about_ca_system_score_gemma":0.005231897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.352585,"about_ca_topic_score_gemma":0.5819661,"domain_scores_codex":[0.9959412,0.00007254459,0.002084101,0.001139562,0.0001313238,0.0006313164],"domain_scores_gemma":[0.9958919,0.0001990157,0.002108986,0.001317078,0.0002178805,0.0002651587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002711181,0.00005555013,0.8691019,0.00009809725,0.0007615675,0.00002002942,0.00006027956,0.0004217251,4.603571e-7,0.05635267,0.07284354,0.0002570369],"study_design_scores_gemma":[0.0006757597,0.00004228299,0.8603092,0.0002191121,0.0001281129,0.00006006396,0.001285805,0.007804694,0.00001110095,0.0286153,0.09943315,0.001415376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297333,0.02765487,0.001055001,0.002587033,0.005422037,0.0004556013,0.003751269,0.00004595983,0.2292949],"genre_scores_gemma":[0.9903648,0.000901315,0.0002511318,0.0001931007,0.0004074979,0.0000851966,0.0001811218,0.00003961446,0.007576157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2606315,"threshold_uncertainty_score":0.9996929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2376653735","doi":"","title":"New factors and new patterns of regional development in China","year":2003,"lang":"en","type":"article","venue":"Geographical Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Industrialisation; China; Economic geography; Geography; Globalization; Economy; Economic growth; Regional science; Economics; Market economy","retraction":null,"screen_n_in":null,"score":{"opus":0.1163134051275058,"gpt":0.2935670610106409,"spread":0.1772536558831351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009234321,0.0001006893,0.0003334112,0.0008065031,0.00006541728,0.00003140927,0.0001719217,0.0001008274,0.0007308797],"category_scores_gemma":[0.0001918394,0.00009721528,0.00009430637,0.0005607602,0.00007909172,0.00007970984,0.00005845906,0.0002659137,0.0000342221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004084385,"about_ca_system_score_gemma":0.0001218759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272672,"about_ca_topic_score_gemma":0.001479256,"domain_scores_codex":[0.998677,0.00003798692,0.0004919723,0.0003543744,0.00009967162,0.0003389854],"domain_scores_gemma":[0.9993336,0.0001329355,0.00008311979,0.0001700713,0.0000238822,0.000256416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008479395,0.00002947797,0.7821076,0.000007658932,0.00002791332,9.85946e-7,0.0001988084,0.000007832249,0.00000193016,0.2155897,0.0002669111,0.001752671],"study_design_scores_gemma":[0.0003469382,0.00003620533,0.8815714,0.00001375608,9.712465e-7,8.091227e-7,0.00005787072,0.00005771939,0.00004038135,0.08090892,0.03685734,0.0001077005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924043,0.001037631,0.002229673,0.001036697,0.00002692906,0.00009453935,0.000005791912,0.000004287418,0.00316009],"genre_scores_gemma":[0.9972716,0.0007318321,0.0007501217,0.00002882262,0.00002243178,0.000004374574,0.000007749236,0.000008427231,0.001174625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346808,"threshold_uncertainty_score":0.9938476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2968269837","doi":"10.1109/access.2019.2935386","title":"Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Ministerio de Economía y Competitividad","keywords":"Unemployment; Quarter (Canadian coin); Labour economics; European union; Economics; Period (music); Unemployment rate; Demographic economics; Economic policy; Geography; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.02318243758870167,"gpt":0.2248300357927948,"spread":0.2016475982040931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003335603,0.00009468688,0.0004755363,0.0001397127,0.00007960373,0.00003335127,0.0007913778,0.00006835564,0.00137376],"category_scores_gemma":[0.00005502988,0.00006769849,0.0005151475,0.001242456,0.00007509751,0.000267983,0.0001213354,0.0001186165,0.00003500585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009641719,"about_ca_system_score_gemma":0.00003160063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007906866,"about_ca_topic_score_gemma":0.0004876622,"domain_scores_codex":[0.998982,0.00004582249,0.0005383053,0.0002429943,0.00005626716,0.0001346565],"domain_scores_gemma":[0.9986556,0.0000715229,0.0007063838,0.0004952949,0.00005455275,0.00001671445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001017388,0.00002492795,0.941581,0.00001869993,0.0005824607,3.860581e-8,0.0001388862,0.02894118,0.00004327304,0.02841423,0.000176084,0.00006900609],"study_design_scores_gemma":[0.0002057281,0.0000101724,0.9482988,0.00001161101,0.0001537019,1.589387e-7,0.0001161728,0.03997284,0.0002146614,0.007996793,0.002915588,0.0001037839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977345,0.0002879249,0.001372408,0.0004148842,0.0003308187,0.0001215647,0.0000641187,0.000005503648,0.02005772],"genre_scores_gemma":[0.9949281,0.00008348447,0.00001621861,0.0001257316,0.00003369984,0.000004342748,0.000002503011,0.000008773181,0.004797162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02041743,"threshold_uncertainty_score":0.9995391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073318840","doi":"10.5539/ass.v11n10p330","title":"A Shift-Share Analysis of Electrical and Electronic Products: An Overview and Assessment of Export Growth of Malaysia","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Market share; Business; Value (mathematics); International trade; International economics; Economics; Marketing; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.05473137834983682,"gpt":0.2927300823169282,"spread":0.2379987039670914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019511,0.00008386231,0.0005859098,0.0004118381,0.00005749456,0.00002043833,0.0002180531,0.00004393826,0.00002944183],"category_scores_gemma":[0.00008441052,0.0000871739,0.00008634454,0.001905209,0.0004037635,0.0003065709,0.00006081137,0.00006634199,5.883999e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009632252,"about_ca_system_score_gemma":0.0002245964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000586264,"about_ca_topic_score_gemma":0.0000522015,"domain_scores_codex":[0.9988207,0.00001838894,0.0004980603,0.0003609686,0.00009699633,0.0002048496],"domain_scores_gemma":[0.9991186,0.00001344858,0.0005134614,0.0001455119,0.0001137581,0.00009526125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007610614,0.00008355556,0.2872465,0.00002295909,0.0001794348,2.751507e-7,0.0008913847,0.000003425433,0.00006644422,0.7077187,0.00001428287,0.003765374],"study_design_scores_gemma":[0.0001861235,0.0001905727,0.963734,0.000004072167,0.0001200856,5.752393e-7,0.0002219528,0.005235509,0.00007688168,0.02994921,0.0001594028,0.0001216085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823585,0.001494179,0.0004073803,0.0006173307,0.00001738103,0.0001033809,0.00005621262,0.000004431488,0.01494124],"genre_scores_gemma":[0.9992592,0.0003062759,0.0003495444,0.00002643877,0.0000232789,0.000004201967,0.000008320794,0.00000400133,0.00001873687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6777695,"threshold_uncertainty_score":0.3554849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3162702160","doi":"10.1111/grow.12487","title":"Measuring Canada's export performance in the United States using an unbiased shift‐share","year":2021,"lang":"en","type":"article","venue":"Growth and Change","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Global Affairs Canada","funders":"","keywords":"Index (typography); Popularity; Econometrics; Residual; Paradigm shift; Market share; Measure (data warehouse); Economics; Computer science; Political science; Law; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.1400891365508435,"gpt":0.2088854447222278,"spread":0.0687963081713843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800391,0.00009130067,0.0001935011,0.0001149955,0.0001103051,0.00005209779,0.0001110757,0.00003395433,0.00007166537],"category_scores_gemma":[0.00001638199,0.00008565874,0.00002941336,0.0002846633,0.00001984925,0.0001712902,0.00002467421,0.000080489,0.000003405189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005647033,"about_ca_system_score_gemma":0.00004567706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4105909,"about_ca_topic_score_gemma":0.3045351,"domain_scores_codex":[0.9993011,0.00001758931,0.0002397221,0.0002205532,0.0000328099,0.0001882227],"domain_scores_gemma":[0.9996665,0.00002102997,0.00009342574,0.0001391124,0.00001817134,0.00006180105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001383465,0.00006760839,0.9871014,0.00008358913,0.00004645137,0.00006551314,0.004491228,0.0003207376,0.000004199184,0.007041191,0.00008327794,0.0006809562],"study_design_scores_gemma":[0.0004546974,0.00003858961,0.9300483,0.00003537823,0.00001247752,0.00001392702,0.00192763,0.05885242,0.00008546525,0.002229179,0.005964489,0.0003374178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971009,0.0008538286,0.00005693384,0.001250855,0.00005200939,0.00005625806,0.00008580009,0.000004760213,0.0005386078],"genre_scores_gemma":[0.9973888,0.0005641972,0.00002463334,0.001680114,0.00009511103,0.00001403099,0.0002034877,0.000007976282,0.00002160072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060558,"threshold_uncertainty_score":0.7081553,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1605371586","doi":"10.2139/ssrn.1427377","title":"Interprovincial Differences in GDP Per Capita, Labour Productivity and Work Intensity: 1990-2003","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Per capita; Economics; Demographic economics; Labour economics; Work Intensity; Gross domestic product; Work (physics); R&D intensity; Demography; Economic growth; Population; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01107111151190812,"gpt":0.1856057119653211,"spread":0.1745346004534129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264398,0.0001724341,0.0005010209,0.0003018673,0.0001281255,0.00009498048,0.0002039152,0.00008760858,0.0001840606],"category_scores_gemma":[0.00009363036,0.0001693058,0.00009837416,0.0001908462,0.00008709196,0.0003571746,0.00005665259,0.001040675,0.000241638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008132124,"about_ca_system_score_gemma":0.0003112835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929181,"about_ca_topic_score_gemma":0.01846892,"domain_scores_codex":[0.997963,0.00002741724,0.0005305463,0.0003803296,0.0000411703,0.001057499],"domain_scores_gemma":[0.9994138,0.00001951405,0.0002892982,0.0001427424,0.00005184892,0.00008275153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001051836,0.0001094,0.6777226,0.000004575187,0.0001603753,0.000002162362,0.0005487433,0.00003819627,0.00000465024,0.2989641,0.0001192559,0.02222074],"study_design_scores_gemma":[0.001208558,0.0002789857,0.4646288,0.0000263858,0.0000275911,0.0001947572,0.001002091,0.001481303,0.00001344628,0.5148004,0.01563967,0.0006980403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986596,0.005737127,0.001935078,0.004786102,0.0001893811,0.00008929223,0.000008512026,0.000009401581,0.0006490655],"genre_scores_gemma":[0.9919807,0.002720831,0.0001002657,0.0001988774,0.0005575828,0.000005780012,0.000002084101,0.00001480399,0.004419057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2158362,"threshold_uncertainty_score":0.9994414,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167167725","doi":"10.5539/sar.v1n2p7","title":"The Study on Effects of Concurrent Business on Cultivated Land Use Efficiency -Based on Empirical Analysis of Gansu and Qinghai Province","year":2012,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Business; Investment (military); Scale (ratio); Capital (architecture); Agricultural economics; Land use; Diversity (politics); Agricultural science; Economics; Geography; Environmental science; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.05114147202722984,"gpt":0.3125933131128483,"spread":0.2614518410856185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001658938,0.0001771015,0.0005918672,0.0006697194,0.00032951,0.00008970357,0.0002661549,0.00009562908,0.000009595627],"category_scores_gemma":[0.001167726,0.0001034586,0.0001533296,0.002503332,0.0001956149,0.0001254423,0.00008418738,0.0002911488,0.00001057026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311201,"about_ca_system_score_gemma":0.00006499545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639286,"about_ca_topic_score_gemma":0.00008811391,"domain_scores_codex":[0.9981222,0.0002112724,0.0004865008,0.0003993053,0.0002291028,0.0005516371],"domain_scores_gemma":[0.9972039,0.001597152,0.0002755329,0.0003576097,0.00044092,0.000124838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002677583,0.002972183,0.9421027,0.0002066571,0.0007918104,0.00001231577,0.0009504884,0.01099834,0.00002329415,0.04010517,0.001097619,0.0004716529],"study_design_scores_gemma":[0.0008001312,0.0009322036,0.9880963,0.00003506752,0.0001027065,1.665788e-7,0.00144146,0.003915874,0.000269493,0.0001334087,0.004096346,0.0001768741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968464,0.00055016,0.000165187,0.0006634781,0.00004202991,0.0008351182,0.00002353042,0.00000825954,0.0008658412],"genre_scores_gemma":[0.9984077,0.00009701602,0.000003374507,0.000030753,0.00004162078,0.00005662236,0.00001934144,0.000009180327,0.001334406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04599356,"threshold_uncertainty_score":0.4218917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2385570922","doi":"","title":"Spatiotemporal Pattern of Urban-Rural Income Gap of Prefecture Level Cities or Above in China","year":2014,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Urbanization; China; Geography; Rural area; Economic geography; Lag; Spatial distribution; Spatial analysis; Socioeconomics; Demographic economics; Economic growth; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.02164476222243659,"gpt":0.2000150428911617,"spread":0.1783702806687251,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004978029,0.0002361343,0.0009975325,0.0008634341,0.00003646919,0.0000243803,0.000366935,0.0001508095,0.00105497],"category_scores_gemma":[0.00002731144,0.0002404756,0.0004439814,0.0001894676,0.0001803564,0.0002316238,0.0000747329,0.0001434774,0.00008984573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006418132,"about_ca_system_score_gemma":0.0000299467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343579,"about_ca_topic_score_gemma":0.002151156,"domain_scores_codex":[0.9979663,0.00003146638,0.001313605,0.0003795642,0.00002944172,0.0002795925],"domain_scores_gemma":[0.998428,0.0000867925,0.0009735308,0.0004201196,0.00001801142,0.00007355975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000472955,0.00005226606,0.980552,0.00006817264,0.0001447932,3.509734e-7,0.0004554217,0.001964038,0.000002516536,0.01492514,0.0002330108,0.001554999],"study_design_scores_gemma":[0.0009629032,0.0001568148,0.9650778,0.00004056434,0.00001308111,0.000001325647,0.00009892922,0.007690994,0.00007878853,0.02404155,0.001520027,0.0003172239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894322,0.0004284581,0.001643899,0.0002530898,0.0002684506,0.000167735,0.0004318838,0.00001294336,0.007361304],"genre_scores_gemma":[0.9989996,0.0001763927,0.0002124968,0.00008135252,0.0001247056,0.0000189803,0.0000495409,0.00002365338,0.0003132958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547419,"threshold_uncertainty_score":0.9998582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2377410641","doi":"","title":"Recognition of Phases of China's Business Cycle and Forecasting for the Growth Trend","year":2008,"lang":"en","type":"article","venue":"China Industrial Economy","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Autoregressive model; Business cycle; China; Econometrics; Economics; Growth rate; Point (geometry); Macroeconomics; Mathematics; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.1291927669133249,"gpt":0.215288397228523,"spread":0.08609563031519807,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003905431,0.0001397468,0.0005768268,0.000178755,0.0001729185,0.0000184012,0.0001601873,0.0001120637,0.0001576215],"category_scores_gemma":[0.0002939018,0.0001262957,0.0001842222,0.0001975956,0.0002080829,0.0002537984,0.00003709774,0.00009426627,0.000003721423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003047082,"about_ca_system_score_gemma":0.00003762002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772054,"about_ca_topic_score_gemma":0.00004406033,"domain_scores_codex":[0.9986885,0.00001060418,0.0008528956,0.0002695942,0.00001624089,0.0001622138],"domain_scores_gemma":[0.9986287,0.0002404006,0.0008795299,0.000159386,0.0000446571,0.00004733373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001731818,0.001082168,0.5027367,0.0005018831,0.002719271,0.000006619402,0.00347007,0.005497433,0.00007002151,0.2068814,0.00811295,0.2671897],"study_design_scores_gemma":[0.022726,0.00116075,0.4230748,0.0002568669,0.0004401765,0.000116239,0.0006708606,0.08660714,0.003157581,0.4098577,0.04972544,0.002206366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835719,0.0005797669,0.002482857,0.0008582553,0.0002085145,0.0003241428,0.0003519406,0.000008567838,0.01161399],"genre_scores_gemma":[0.9987768,0.0003185615,0.0002257228,0.00003119556,0.0003586182,0.00004050198,0.00005511662,0.00001456569,0.0001789348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2649833,"threshold_uncertainty_score":0.5150191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907386757","doi":"10.1108/s0731-9053201939","title":"The Econometrics of Complex Survey Data","year":2019,"lang":"en","type":"book","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"Nazarbayev University; Queen's University; West Virginia University; Universidad EAFIT; Iowa State University; Université du Luxembourg; University of Southern California; Inter-American Development Bank","keywords":"Econometrics; Survey data collection; Computer science; Data science; Statistics; Economics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.3445989990986776,"gpt":0.257089810235765,"spread":0.08750918886291265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002104215,0.0002733518,0.001221126,0.0004090588,0.0001059376,0.00009983226,0.002316189,0.000260218,0.002445462],"category_scores_gemma":[0.0002750214,0.0002325504,0.0002877655,0.0002060492,0.0002018265,0.0001558459,0.0006463005,0.0002362579,0.004194306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731473,"about_ca_system_score_gemma":0.0001979033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897156,"about_ca_topic_score_gemma":0.001607378,"domain_scores_codex":[0.9973878,0.0000242459,0.00151681,0.0007552059,0.00004911291,0.0002667769],"domain_scores_gemma":[0.9947369,0.001061851,0.001616418,0.002437157,0.00007583304,0.00007191531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001204492,0.00002180632,0.00989053,0.00003506064,0.0005782687,3.216176e-7,0.000009239584,0.00006061702,2.087632e-8,0.4825255,0.5053068,0.001559851],"study_design_scores_gemma":[0.0001611402,0.00002743071,0.009855158,0.000006522834,0.0000195732,6.129641e-7,0.000005866328,0.009721613,1.038482e-7,0.03736728,0.9425322,0.0003025013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000444242,0.004129571,0.001618491,0.0003141857,0.0005021989,0.0002297144,0.006834869,0.00001265099,0.9863139],"genre_scores_gemma":[0.006191016,0.00438137,0.0001358732,0.0002007295,0.0001600666,0.000003292315,0.004609856,0.00004874894,0.984269],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4451582,"threshold_uncertainty_score":0.9984664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106247207","doi":"","title":"What Does the Philadelphia Fed's Business Outlook Survey Say About Local Activity? ∗","year":2008,"lang":"en","type":"article","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Value (mathematics); Stock market; Survey data collection; Variety (cybernetics); Business; Marketing; Economics; Geography; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.05026692720109783,"gpt":0.2175855076491986,"spread":0.1673185804481007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006192047,0.0002239709,0.0005586825,0.0001479885,0.0003666868,0.0001912219,0.0004247547,0.0001252064,0.001474563],"category_scores_gemma":[0.0000760872,0.0001486853,0.0002262285,0.0003777115,0.0003370702,0.0009139778,0.00009986734,0.0001671205,0.00163073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009877338,"about_ca_system_score_gemma":0.00004725935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069061,"about_ca_topic_score_gemma":0.004666184,"domain_scores_codex":[0.9985146,0.00004425828,0.0005392483,0.0005175556,0.00005220775,0.0003321182],"domain_scores_gemma":[0.9988018,0.000202306,0.0003027744,0.0005121703,0.00008070694,0.0001002146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004478479,0.0008561856,0.6920694,0.0000616196,0.001476065,0.00004921591,0.002181282,0.005576415,0.00002166632,0.2286503,0.04444444,0.02416556],"study_design_scores_gemma":[0.0003984277,0.00002456126,0.9275926,0.000009216947,0.0000111337,0.00001471503,0.0001786789,0.01124321,0.00003792239,0.007272165,0.05277337,0.0004439323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888406,0.002598875,0.05508781,0.03488395,0.001797959,0.000310785,0.0001325872,0.00008797774,0.01669409],"genre_scores_gemma":[0.9761943,0.004529343,0.00004022802,0.001494436,0.0002186815,0.00001961008,0.00003075414,0.00002465571,0.01744803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2355232,"threshold_uncertainty_score":0.9994382,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2082378350","doi":"10.5539/ass.v10n3p26","title":"Growth in Malaysia’s Export Food Market: A Shift-Share Analysis","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Agriculture; Palm oil; China; Business; Agricultural economics; Balance of trade; Edible oil; Chinese market; Balance (ability); International trade; Economics; Agricultural science; Food science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01903079676582653,"gpt":0.2128509930130582,"spread":0.1938201962472317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00129841,0.0001375979,0.0005072599,0.0007805785,0.0002491734,0.0001325039,0.0005917039,0.00008134452,0.0009916559],"category_scores_gemma":[0.0001393881,0.0001579853,0.0002881048,0.00275525,0.0002997628,0.000420359,0.00009410185,0.0001144022,0.0002344359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011996,"about_ca_system_score_gemma":0.0000465174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005779419,"about_ca_topic_score_gemma":0.000365067,"domain_scores_codex":[0.998302,0.00002166455,0.0005340737,0.0006249674,0.00009082678,0.0004264278],"domain_scores_gemma":[0.9993114,0.00002556168,0.0002952664,0.0002091117,0.00003164952,0.0001269635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006456564,0.00005285172,0.4116113,0.000005616359,0.0001081654,0.000001775055,0.001158844,0.00001399192,0.000001922028,0.581113,0.0003461204,0.005579867],"study_design_scores_gemma":[0.0001799757,0.00003226484,0.9182714,0.000002467961,0.00002297449,3.391641e-7,0.0002052726,0.004652065,0.000005311148,0.0736067,0.00278174,0.0002394583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1544683,0.00006232417,0.006102831,0.00379175,0.0001189956,0.0001050783,0.00005960867,0.00002758848,0.8352635],"genre_scores_gemma":[0.9987555,0.0000119545,0.000165778,0.0003559753,0.0001392196,0.00001874471,0.000008957731,0.000008939634,0.0005349939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8442871,"threshold_uncertainty_score":0.9999216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1900961815","doi":"10.5430/ijba.v6n4p57","title":"An Empirical Analysis of Economic Development in Northwest China: Based on the Vicious Circle of Poverty Demands Theory","year":2015,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Virtuous circle and vicious circle; Economics; China; Poverty; Consumption (sociology); Investment (military); Cycle of poverty; Index (typography); Measures of national income and output; Business cycle; Economic system; Development economics; Economic growth; Macroeconomics; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.0367107329265485,"gpt":0.2771164249290955,"spread":0.240405692002547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001179776,0.00009534667,0.0004490174,0.0007844413,0.00002031728,0.00003466175,0.0003729156,0.00005667563,0.0001417823],"category_scores_gemma":[0.0001425494,0.00008221064,0.0001687794,0.0003208765,0.0000540166,0.0002438692,0.00001484395,0.00008212421,0.000006579391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263306,"about_ca_system_score_gemma":0.0003621553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002490703,"about_ca_topic_score_gemma":0.001051956,"domain_scores_codex":[0.9983872,0.00004279042,0.00122099,0.0001484649,0.0001223082,0.00007829793],"domain_scores_gemma":[0.9980612,0.0001129995,0.001340766,0.0001517842,0.0002766804,0.00005657292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006146461,0.0006041655,0.7060235,0.000006497071,0.0008817975,0.00001132378,0.0005064677,0.2607236,0.00001559531,0.02889678,0.00005432106,0.001661365],"study_design_scores_gemma":[0.0005805998,0.0001369258,0.9061558,0.00002056981,0.00005813271,0.000004344342,0.0000933957,0.08612803,0.0001924639,0.00626808,0.0002640244,0.00009761022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743844,0.00004323489,0.02221966,0.002146121,0.000223409,0.00004630744,0.00005152864,0.000001861806,0.0008834944],"genre_scores_gemma":[0.9993204,0.00001759405,0.0002889619,0.00021245,0.00007577554,0.000002761999,0.00006261691,0.00000655525,0.0000128595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2001324,"threshold_uncertainty_score":0.3352453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058617895","doi":"10.5539/cis.v1n2p27","title":"A Prediction Model of China Population Growth","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Notice; China; Index (typography); Population; Urbanization; sort; Limit (mathematics); Computer science; Computation; Econometrics; Population growth; Value (mathematics); Term (time); Statistics; Mathematics; Demography; Geography; Algorithm; Economics; Economic growth; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.03223246758787768,"gpt":0.1867821553694252,"spread":0.1545496877815475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229159,0.00004088566,0.0001142301,0.0002752605,0.000139984,0.00002763441,0.00009517103,0.00001882575,0.00000862905],"category_scores_gemma":[0.00001511413,0.00004148674,0.00002867291,0.0002268626,0.0001192335,0.003456417,0.00003618084,0.00002505775,0.00002012547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002327462,"about_ca_system_score_gemma":0.0000153103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467887,"about_ca_topic_score_gemma":4.15955e-7,"domain_scores_codex":[0.9994413,0.000001406817,0.0003589573,0.00009012106,0.00003868571,0.00006957517],"domain_scores_gemma":[0.99964,0.000004298286,0.0001944212,0.00007688905,0.0000467832,0.00003759442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006402258,0.00001736454,0.1730269,0.00001990727,0.000008463973,4.797249e-8,0.002253676,0.04180432,0.000009079267,0.778401,0.0002821642,0.00417058],"study_design_scores_gemma":[0.00007553579,0.00001329182,0.2994333,0.000001617344,5.355728e-7,0.000002256809,0.000002916664,0.6940048,0.0000104552,0.006321056,0.0001019911,0.00003230249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6053613,0.0000169407,0.388056,0.0001002143,0.00007008857,0.00003640946,0.00001831557,0.00000941178,0.006331303],"genre_scores_gemma":[0.996473,0.000145796,0.003198348,0.0001288614,0.00001947164,0.0000015373,0.00001098521,9.481909e-7,0.00002107798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.77208,"threshold_uncertainty_score":0.2505819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995810754","doi":"10.5539/jas.v4n6p19","title":"The Differential Analysis on Intensive Use Efficiency of Construction Land","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Connotation; China; Resource (disambiguation); Differential (mechanical device); Land use; Environmental resource management; Production (economics); Business; Environmental economics; Natural resource economics; Computer science; Geography; Economics; Civil engineering; Mathematics; Statistics; Engineering; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.02149561499335145,"gpt":0.2061600755249591,"spread":0.1846644605316077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005704042,0.000073624,0.0003074127,0.0002431831,0.0002038892,0.00008984187,0.0002867375,0.00002649047,0.00003972142],"category_scores_gemma":[0.0003061181,0.00003683789,0.0002875383,0.0009022935,0.0003486031,0.0005785312,0.00003229222,0.00009949919,0.00001494033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008514788,"about_ca_system_score_gemma":0.00001578061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001296937,"about_ca_topic_score_gemma":0.00001736258,"domain_scores_codex":[0.9990127,0.00001265481,0.0005720174,0.0001065676,0.00010523,0.0001907926],"domain_scores_gemma":[0.9983708,0.0001132859,0.001005595,0.00009974074,0.0003092021,0.0001014173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004749828,0.0001076525,0.8956874,0.000002759899,0.0004976027,5.566669e-7,0.0006142749,0.002862211,0.001445519,0.0972918,0.0003360355,0.001106658],"study_design_scores_gemma":[0.0001120719,0.00007264817,0.9976922,0.000004999687,0.00007002387,0.00001542397,0.0003662434,0.0003974862,0.0004595338,0.0003738162,0.0003657478,0.00006986468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973197,0.000206283,0.0009370026,0.0005642664,0.0004669309,0.00003016722,0.000007467054,0.000001527831,0.0004666603],"genre_scores_gemma":[0.9994428,0.0001594045,0.0001168488,0.00003330667,0.0001336491,3.836553e-7,7.167889e-7,0.000001239204,0.0001116062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020047,"threshold_uncertainty_score":0.1568172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049124758","doi":"10.5539/ibr.v6n7p22","title":"Research on China’s Regional Cultural Industries’ Efficiency Based on Factor Analysis and BCC &amp; Super Efficiency Model","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"China; Digging; Scale (ratio); Redundancy (engineering); Industrial organization; Work (physics); Business; Computer science; Political science; Geography; Engineering; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.1985195256052039,"gpt":0.3651457507114949,"spread":0.166626225106291,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001567071,0.0002415833,0.0004685989,0.003548305,0.0005106673,0.000584726,0.0008844257,0.0002143054,0.003252021],"category_scores_gemma":[0.0008465659,0.0002160755,0.0001940283,0.003156477,0.0005678774,0.0004563625,0.0002084998,0.0008444956,0.002018339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004867576,"about_ca_system_score_gemma":0.0001689481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007787401,"about_ca_topic_score_gemma":0.0001717601,"domain_scores_codex":[0.9969277,0.0001180695,0.0006611465,0.0009782424,0.0006524053,0.0006624388],"domain_scores_gemma":[0.9972704,0.0005113235,0.0001476529,0.0005157947,0.001331156,0.0002236831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004926036,0.002102721,0.2567997,0.0000544976,0.001160688,0.00001370305,0.00101829,0.5105507,0.0002214823,0.1934082,0.03003471,0.004142684],"study_design_scores_gemma":[0.0005320437,0.00007802572,0.4368027,0.00002780917,0.000008510296,0.000001392191,0.0001016648,0.548328,0.00002281599,0.007281173,0.006517685,0.000298155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385585,0.0001069548,0.008353778,0.02034318,0.0001410641,0.0003439816,0.0001871189,0.00002674454,0.03193868],"genre_scores_gemma":[0.9895704,0.0001756814,0.0001831314,0.0002763948,0.000203622,0.0001244846,0.0001928458,0.00002473431,0.009248755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.186127,"threshold_uncertainty_score":0.9988198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106683308","doi":"","title":"Spatial Patterns of Growth and Poverty Changes in Peru (1993 – 2005)","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Poverty; Geography; Economic geography; Development economics; Economics; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.04984644982928363,"gpt":0.2606432818704608,"spread":0.2107968320411771,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001725771,0.0003824703,0.001428646,0.001556542,0.00006503308,0.00007248639,0.0006909583,0.0005575247,0.0005431239],"category_scores_gemma":[0.000232691,0.0004592147,0.0002472175,0.0001060795,0.0002501551,0.0001330371,0.001007827,0.001073574,0.00002457352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000494005,"about_ca_system_score_gemma":0.0001568484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02520019,"about_ca_topic_score_gemma":0.02718351,"domain_scores_codex":[0.9964109,0.00009985868,0.001353645,0.001262138,0.00007026416,0.0008031717],"domain_scores_gemma":[0.9980778,0.0002245241,0.0006733475,0.0007709869,0.00004553751,0.000207795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001438589,0.0002826117,0.9502568,0.0004346095,0.0002419601,0.00002353405,0.0008759021,0.000534208,0.00001359994,0.020559,0.00002926762,0.0266047],"study_design_scores_gemma":[0.002622429,0.0003336676,0.8575001,0.0005463554,0.00002900166,0.00001252888,0.0008728881,0.03024829,0.0002763163,0.09413978,0.0115269,0.001891689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332234,0.00101072,0.00006045415,0.001166798,0.0003752983,0.0006298331,0.0006674677,0.00001577116,0.06285021],"genre_scores_gemma":[0.9516224,0.0464385,0.0001390041,0.0001350803,0.0001540153,0.0001296899,0.00008415143,0.00005874802,0.001238384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09275659,"threshold_uncertainty_score":0.999786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W867307063","doi":"10.11575/prism/10119","title":"The Geography of Employment Growth in Western Canada: A Regional Typology based on Multifactor Partitioning","year":2011,"lang":"en","type":"article","venue":"Open MIND","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Typology; Economic geography; Regional science; Geography; Human geography; Economics; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.08896201715480842,"gpt":0.235114751555407,"spread":0.1461527344005986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002564893,0.00007254201,0.0002215406,0.00009579991,0.00006485366,0.00002039401,0.0002806726,0.00003411289,0.0007964782],"category_scores_gemma":[0.00002142916,0.00006318388,0.0000621029,0.00009416454,0.00006599152,0.00006048668,0.00003669461,0.00005857292,0.00006275898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006581463,"about_ca_system_score_gemma":0.0000825319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4914793,"about_ca_topic_score_gemma":0.5389056,"domain_scores_codex":[0.9992172,0.0000178742,0.0003919612,0.0002074829,0.00002354322,0.0001420051],"domain_scores_gemma":[0.9994738,0.00007714651,0.0002378244,0.0001558275,0.0000168793,0.00003859762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006775274,0.000084666,0.9922506,0.000001263111,0.00004310115,0.000002961978,0.0001231389,0.0001436788,4.172763e-7,0.006027354,0.0001638133,0.001091269],"study_design_scores_gemma":[0.0006696292,0.0001152272,0.968421,0.00001806942,0.000006926864,6.283468e-7,0.0001056328,0.003221705,0.000128031,0.003353074,0.02378485,0.0001751762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756671,0.00007678703,0.0001335145,0.001238004,0.00008749928,0.0001504048,0.00005548204,4.248359e-7,0.02259074],"genre_scores_gemma":[0.9991782,0.00002511981,0.0003163117,0.0001889039,0.00001221849,0.0000199163,0.00001118208,0.000005242727,0.000242853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04742637,"threshold_uncertainty_score":0.8720877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W299474516","doi":"","title":"Unequal Inequality: The Distribution of Individuals' Earnings by Province *","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Earnings; Inequality; Demographic economics; Distribution (mathematics); Economic inequality; Government (linguistics); Economics; Income distribution; Investment (military); Politics; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.03133064885131687,"gpt":0.212732534357501,"spread":0.1814018855061841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001941882,0.00008877989,0.0002741907,0.0002350149,0.0002927067,0.00007766346,0.0007312627,0.0000451272,0.0001161224],"category_scores_gemma":[0.0003361,0.00007185866,0.000138391,0.0006541536,0.0009198131,0.0004212326,0.00002138614,0.0001680018,0.00002579199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002630456,"about_ca_system_score_gemma":0.001065642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574245,"about_ca_topic_score_gemma":0.002521161,"domain_scores_codex":[0.9987199,0.00002178857,0.0006627193,0.0001829972,0.0001254578,0.000287115],"domain_scores_gemma":[0.9983168,0.00007014132,0.0009296608,0.0001641055,0.0001721533,0.0003471544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001284144,0.00003146122,0.6857532,0.000006116533,0.0000586496,0.00001414109,0.0005188669,0.001147846,0.00003004079,0.2912181,0.01870774,0.002500955],"study_design_scores_gemma":[0.0003991436,0.0001852297,0.2561905,0.0000412263,0.00001847462,0.0001133607,0.0004072348,0.002132922,0.00005448951,0.02518453,0.7149979,0.0002749765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805583,0.001246536,0.004859775,0.01161977,0.0001560748,0.00006020862,0.0001185958,0.000001844159,0.001378846],"genre_scores_gemma":[0.9989211,0.000137679,0.00005764625,0.0003632525,0.00008892232,0.000001021464,0.000009646902,0.000004379143,0.0004163412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6962901,"threshold_uncertainty_score":0.9908118,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3177848565","doi":"10.5194/gmd-2021-115","title":"ANEMI_Yangtze v1.0: An Integrated Assessment Model of the Yangtze Economic Belt - Model Description","year":2021,"lang":"en","type":"article","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Population; Natural resource economics; Environmental resource management; Environmental science; Economics; Medicine; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.06437530948887761,"gpt":0.2366020508921041,"spread":0.1722267414032265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003349812,0.0001818318,0.0005016332,0.0001222349,0.0001160461,0.00007808179,0.0003610243,0.0001219468,0.0007143463],"category_scores_gemma":[0.00002081378,0.0001609483,0.0003219071,0.0001537889,0.00008484656,0.0004441564,0.0001104821,0.0001589618,0.00008359422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219723,"about_ca_system_score_gemma":0.0002467343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807278,"about_ca_topic_score_gemma":0.001537676,"domain_scores_codex":[0.9983932,0.00002644273,0.0008262559,0.0004904972,0.00003903611,0.0002245792],"domain_scores_gemma":[0.9987937,0.00002024999,0.0004049313,0.0006211383,0.00006781254,0.00009217677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007800231,0.0001182084,0.009568715,0.000009144826,0.0001155707,4.265895e-7,0.0001206252,0.4546175,0.0003517643,0.5334652,0.0009887252,0.0006363657],"study_design_scores_gemma":[0.0002633789,0.00001699545,0.002609626,0.000005938254,0.00002388972,0.000001862456,0.0001253256,0.9257783,0.0003325146,0.07000367,0.0006463454,0.000192212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942331,0.0002291293,0.2425314,0.0016435,0.0002434999,0.0001555048,0.0003925177,0.00003517382,0.06053615],"genre_scores_gemma":[0.9791151,0.0001661912,0.009687321,0.0005244054,0.00004377309,0.00001738681,0.0001167767,0.00002338398,0.01030566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4711608,"threshold_uncertainty_score":0.7821591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125235482","doi":"","title":"Nowcasting Chinese GDP: Information Content of Economic and Financial Data","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nowcasting; Economics; Econometrics; Quarter (Canadian coin); Real gross domestic product; Investment (military); Asset (computer security); Economic indicator; Macroeconomics; Computer science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.1207227341828588,"gpt":0.2955141813363576,"spread":0.1747914471534988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002731826,0.0003910056,0.00138146,0.001124619,0.0001266524,0.0001515273,0.001353468,0.0004913267,0.0002340271],"category_scores_gemma":[0.0008246141,0.0004559147,0.0002261552,0.0001089143,0.0004068625,0.0007971829,0.002716653,0.0009620721,0.00009991613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430928,"about_ca_system_score_gemma":0.0003633419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004276482,"about_ca_topic_score_gemma":0.001603464,"domain_scores_codex":[0.9959915,0.00006470152,0.00223319,0.001064666,0.00005843491,0.0005875556],"domain_scores_gemma":[0.9965289,0.000276736,0.001292632,0.001635482,0.00007526686,0.0001909693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006307107,0.0004570638,0.5777451,0.001319372,0.0009898992,0.00001775954,0.003739433,0.0163865,0.00001799851,0.1348448,0.0005998939,0.2632515],"study_design_scores_gemma":[0.003575517,0.0003270976,0.385758,0.0004762476,0.00005700392,0.00002970392,0.0009864889,0.3967602,0.00003003044,0.1647698,0.04474708,0.00248278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041845,0.0008294447,0.0001306972,0.0003128104,0.0007142683,0.0006958882,0.002283562,0.00002287503,0.09082592],"genre_scores_gemma":[0.9863608,0.01117948,0.000824331,0.0000885376,0.0002517011,0.0000759765,0.0005940687,0.00004111958,0.0005840128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3803737,"threshold_uncertainty_score":0.9997892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2404366164","doi":"10.11821/yj2009060010","title":"Spatial-temporal evolution of village-level commercial activity near newly developed campus:A case study of Jinming Campus,Henan University","year":2009,"lang":"en","type":"article","venue":"Geographical Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geography; Quarter (Canadian coin); Space (punctuation); Population; Economic growth; Business; Economic geography; Regional science; Socioeconomics; Computer science; Sociology; Economics; Demography; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.1001704418755465,"gpt":0.3035874206830407,"spread":0.2034169788074942,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001849592,0.0001709069,0.0007112297,0.0009829079,0.0004555165,0.00003843007,0.000408153,0.0001951881,0.0001020513],"category_scores_gemma":[0.0002047091,0.0001926502,0.0002610886,0.001593239,0.0004105114,0.0002083538,0.000184804,0.0004648667,0.00002151573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068951,"about_ca_system_score_gemma":0.0001809094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1851888,"about_ca_topic_score_gemma":0.02612738,"domain_scores_codex":[0.9978963,0.0002277209,0.0006526883,0.0005465213,0.000205147,0.0004716278],"domain_scores_gemma":[0.9984232,0.0002297684,0.0003986006,0.0004482858,0.0002945652,0.0002055628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005149733,0.001538188,0.9577577,0.00002703773,0.000373582,0.0003197203,0.001223385,0.0002523114,0.00007056438,0.01298745,0.0001315974,0.02480356],"study_design_scores_gemma":[0.001971471,0.001159804,0.9764227,0.00001780126,0.00004188938,0.00003122262,0.002457973,0.01015582,0.00003221846,0.006561396,0.0008180476,0.0003296917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906736,0.00008920832,0.007246525,0.0005089132,0.00005632723,0.0003823782,0.0001009765,0.00001383708,0.0009282616],"genre_scores_gemma":[0.9993539,0.00006548937,0.0003734797,0.00001253612,0.00004636742,0.000002681755,0.000009989583,0.00001088541,0.0001246137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1590615,"threshold_uncertainty_score":0.9916432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2351389914","doi":"","title":"Spatiotemporal Pattern of Industrialization, Information, Urbanization and Agricultural modernization of Prefecture Level Cities or above in China based on ESDA and GWR","year":2015,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"China; Geography; Urbanization; Industrialisation; Modernization theory; Economic geography; Gravity model of trade; Spatial analysis; Regional science; Economic growth; Business; Political science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.03181518274301653,"gpt":0.1893586120355134,"spread":0.1575434292924968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688896,0.0001380234,0.0003941139,0.0005757113,0.00003056547,0.00004318678,0.00008222548,0.0001242901,0.00007012156],"category_scores_gemma":[0.00006235003,0.0001295505,0.00005573432,0.0002061923,0.00007475806,0.0005230014,0.00002409876,0.0000635998,0.000005423345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005069908,"about_ca_system_score_gemma":0.00004193871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003212555,"about_ca_topic_score_gemma":0.0004360739,"domain_scores_codex":[0.9988639,0.00002087617,0.0007842539,0.0001967434,0.0000309516,0.0001032668],"domain_scores_gemma":[0.9990326,0.00003146157,0.0006923899,0.0001276287,0.0000573493,0.00005857795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005300722,0.00002730639,0.9224386,0.0000366102,0.00003941102,6.132163e-8,0.0009322365,0.06866404,3.633269e-7,0.006657953,0.0002905109,0.0008599491],"study_design_scores_gemma":[0.001546078,0.0001393212,0.8913773,0.00002941973,0.00001161521,7.462196e-7,0.000239293,0.1003753,0.00003964569,0.005660261,0.0003854608,0.0001955855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840118,0.0001320444,0.01376911,0.0003522453,0.000113945,0.0002294573,0.0003934507,0.000008746474,0.0009892184],"genre_scores_gemma":[0.9992164,0.00007790873,0.0001889611,0.00008148887,0.00003600901,0.00001016188,0.0003455552,0.000007674997,0.0000358654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03171128,"threshold_uncertainty_score":0.5282916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1505714530","doi":"","title":"Comparaison du niveau du PIB par habitant au Canada et aux Etats-Unis: decomposition en fonction des differences dans la productivite du travail et l'intensite du travail","year":2007,"lang":"fr","type":"article","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Art","retraction":null,"screen_n_in":null,"score":{"opus":0.01648181989694819,"gpt":0.2200428333200835,"spread":0.2035610134231353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002402271,0.0006197313,0.001280226,0.0003799678,0.0007255232,0.0002633476,0.0003991303,0.0003083654,0.0005029678],"category_scores_gemma":[0.0001974391,0.0006829842,0.0004384919,0.0004302809,0.0007621069,0.0008920226,0.00009261345,0.0004459141,0.0001361029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750603,"about_ca_system_score_gemma":0.0005983523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8236648,"about_ca_topic_score_gemma":0.9393492,"domain_scores_codex":[0.9960581,0.0003181918,0.001515929,0.001129426,0.0001549834,0.0008233379],"domain_scores_gemma":[0.9975379,0.000635913,0.0008143481,0.0004301105,0.0002405578,0.0003411782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002591987,0.0006886867,0.8585046,0.0001067022,0.000916564,0.00009530475,0.008396156,0.003427064,0.000146006,0.1089356,0.009999145,0.00852498],"study_design_scores_gemma":[0.0009144113,0.0002598588,0.9037955,0.00009450845,0.0001815564,0.0001810567,0.003609796,0.04401217,0.0001571907,0.001705668,0.04426755,0.0008206728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879369,0.002343098,0.07854337,0.01922315,0.001495701,0.0003519914,0.0002300467,0.00005469767,0.01838896],"genre_scores_gemma":[0.9861513,0.007428718,0.0007905578,0.001435295,0.0008743317,0.00002690776,0.0001911798,0.00006131035,0.003040409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1156845,"threshold_uncertainty_score":0.9995621,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1893430616","doi":"10.3968/j.css.1923669720080402.011","title":"Study on Revitalizing Northeast China Through a New Road of Industrialization","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Industrialisation; China; Political science; Economy; Humanities; Economics; Art; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.06930701283420469,"gpt":0.2605718901975499,"spread":0.1912648773633452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003905334,0.00008119353,0.0002600987,0.0002368259,0.0003046103,0.00006207742,0.0002945483,0.00005019107,0.00008646545],"category_scores_gemma":[0.0001048207,0.00009306436,0.00007315163,0.0008961558,0.0001101593,0.0002728509,0.0000102033,0.00006786708,0.0000536243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344736,"about_ca_system_score_gemma":0.000282652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08471949,"about_ca_topic_score_gemma":0.007622768,"domain_scores_codex":[0.9990544,0.000009336098,0.0003454889,0.0002924666,0.00005734358,0.000240912],"domain_scores_gemma":[0.9994256,0.000004615109,0.0002264797,0.0001408566,0.00002620353,0.0001762634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008050622,0.00008822516,0.1594546,0.000001532746,0.00002431485,0.000004283278,0.007835944,0.00005259892,0.000007115718,0.8131382,0.001526969,0.01785808],"study_design_scores_gemma":[0.0006360706,0.0003196659,0.9464244,0.00001716436,0.00001431178,9.143637e-7,0.002700067,0.0003350794,0.00001601285,0.03570014,0.0134526,0.0003835633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7174929,0.00009222975,0.0003999689,0.002665319,0.0002037507,0.0002383958,0.00003813625,0.000009885501,0.2788594],"genre_scores_gemma":[0.9989696,0.000008135315,0.00002471092,0.0004564028,0.0001877681,0.000001515203,0.000003353657,0.000003915725,0.0003445587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7869698,"threshold_uncertainty_score":0.9213755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W264325885","doi":"","title":"Sectoral Labour Market Adjustment in the Provinces of Ontario and Quebec","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Repartition; Economics; Sociology; Humanities; Geography; Political science; Demographic economics; Demography; Welfare economics; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.03225794896972919,"gpt":0.1842253641090334,"spread":0.1519674151393042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008499719,0.00006317623,0.0002053384,0.0003777907,0.0000911617,0.00005536357,0.0003997684,0.00002525368,0.0008900132],"category_scores_gemma":[0.00005534009,0.00004917141,0.00005874149,0.0003354897,0.0004636892,0.0003044942,0.000009103738,0.0001097507,0.000005952533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005484128,"about_ca_system_score_gemma":0.0009824259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6911227,"about_ca_topic_score_gemma":0.9558506,"domain_scores_codex":[0.9992126,0.00001230845,0.0003884298,0.0001327942,0.00006851216,0.000185407],"domain_scores_gemma":[0.9992864,0.00003502423,0.0003407584,0.00009546931,0.00005960362,0.000182789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001260392,0.00004292724,0.7485129,0.00001071611,0.00003358282,0.00004217717,0.005313273,0.0002399789,0.000005110232,0.2306005,0.008639448,0.006546836],"study_design_scores_gemma":[0.0002090638,0.00007113553,0.8180675,0.000018058,0.000003880445,0.00006947068,0.0002596397,0.0006562241,0.000001918152,0.008240343,0.1723114,0.0000913577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818059,0.003258266,0.00002346117,0.006445926,0.000120676,0.0000533301,0.00001036248,4.387103e-7,0.008281672],"genre_scores_gemma":[0.9966258,0.0001610559,0.0001411847,0.0004847403,0.00005335554,9.980292e-7,2.133258e-7,0.000002119574,0.002530534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.264728,"threshold_uncertainty_score":0.974502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2809307468","doi":"10.4236/ojbm.2018.63040","title":"Analysis of Urban Innovation Efficiency in Guangdong-Hong Kong-Macao Greater Bay Area","year":2018,"lang":"en","type":"article","venue":"Open Journal of Business and Management","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"National Development and Reform Commission","keywords":"Bay; Economic shortage; Business; Scale (ratio); Regional science; Geography; Redundancy (engineering); Core (optical fiber); Economic geography; Telecommunications; Cartography; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.04281240435448617,"gpt":0.2359861939225501,"spread":0.1931737895680639,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008444858,0.0001011105,0.0006000677,0.001619634,0.00005225332,0.0001027571,0.0003195861,0.00003369643,0.0003856005],"category_scores_gemma":[0.00002149366,0.0000919411,0.00008798068,0.002184909,0.00007026131,0.0003813883,0.0001549215,0.00004810082,0.000008704104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004844963,"about_ca_system_score_gemma":0.0000109361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003574827,"about_ca_topic_score_gemma":0.0001519421,"domain_scores_codex":[0.9986118,0.00001065013,0.00100112,0.0002003138,0.00004739124,0.0001287207],"domain_scores_gemma":[0.9986865,0.00001174654,0.0009157402,0.0001661236,0.0001896759,0.00003021991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001237769,0.0001940891,0.8497362,0.00005836286,0.00163352,0.00002245254,0.0004295163,0.003557588,0.000007061334,0.1369631,0.0007766252,0.006497686],"study_design_scores_gemma":[0.000888653,0.00007982791,0.9757895,0.00006587798,0.0002468229,0.000002351602,0.0001683851,0.0112845,0.00001286304,0.003590468,0.007699698,0.0001710528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951809,0.0002628446,0.0241567,0.0008600945,0.0001540228,0.0001455846,0.00001151435,0.00000149292,0.02259869],"genre_scores_gemma":[0.9978083,0.0004725263,0.0004463524,0.0001476392,0.00004609151,0.000003238034,0.000006825428,0.000006470559,0.001062591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1333726,"threshold_uncertainty_score":0.4222056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}