{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":22,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":22,"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","author_layer_release":"2026-06-26"},"query_hash":"72ce37645fb9","filters":{"venue":"International Regional Science Review"}},"results":[{"id":"W2054437298","doi":"10.1177/0160017604273853","title":"Multiple Impacts of the Built Environment on Public Health: Walkable Places and the Exposure to Air Pollution","year":2005,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":292,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Air pollution; Built environment; Air quality index; Public health; Business; Environmental health; Traffic congestion; Promotion (chess); Environmental planning; Pollution; Public transport; Walkability; Health promotion; Land use; Transport engineering; Natural resource economics; Environmental science; Geography; Economics; Political science; Engineering; Civil engineering; Meteorology; Medicine","authors":[{"name":"Lawrence D. Frank","is_ca":true},{"name":"Peter Engelke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07623925566355307,"gpt":0.3444474816153989,"spread":0.2682082259518458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003194674,0.000107509,0.0001697426,0.00003884259,0.0003923782,0.00002640712,0.0007369368,0.00002231934,0.0002910733],"category_scores_gemma":[0.0008209252,0.00005576559,0.00006500079,0.0003417558,0.001006083,0.0003618493,0.0002929522,0.00011847,0.0001507462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006274072,"about_ca_system_score_gemma":0.0001544288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000649449,"about_ca_topic_score_gemma":0.0002989662,"domain_scores_codex":[0.9976035,0.0001608097,0.0003641222,0.0002754074,0.001272435,0.0003236627],"domain_scores_gemma":[0.9989864,0.0001747835,0.0002586938,0.0002801601,0.00002049926,0.000279498],"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":[0.0002837751,0.0008213003,0.02613513,0.0005181271,0.00004777006,0.000001162449,0.004982677,0.01411517,0.001066345,0.06621374,0.1476328,0.738182],"study_design_scores_gemma":[0.0004423886,0.0001239298,0.205582,0.0007446524,0.000004116644,0.00002230842,0.00004979431,0.0006180344,0.0001149519,0.0005346928,0.7916574,0.000105661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08416436,0.005075801,0.0001404158,0.9082415,0.0001175541,0.0007651376,0.00001295837,0.000009147435,0.0014732],"genre_scores_gemma":[0.8908593,0.01286468,0.000496792,0.09546138,0.00005643979,0.00002864951,0.000001331522,0.000003751171,0.0002276853],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.81278,"threshold_uncertainty_score":0.3706956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970830315","doi":"10.1177/0160017607301609","title":"Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?","year":2007,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":127,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Econometrics; Ordinary least squares; Spatial heterogeneity; Context (archaeology); Spatial analysis; Spatial contextual awareness; Geographically Weighted Regression; Regression; Economics; Statistics; Computer science; Geography; Mathematics","authors":[{"name":"Kamar Ali","is_ca":true},{"name":"Mark D. Partridge","is_ca":false},{"name":"M. Rose Olfert","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03599320060717616,"gpt":0.3216179616685817,"spread":0.2856247610614056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001881668,0.0001719961,0.0004434697,0.001620554,0.0002613532,0.0001131856,0.0007948437,0.00006156629,0.0004126402],"category_scores_gemma":[0.0004746983,0.0001518394,0.0003153647,0.004042043,0.0005582398,0.0003286303,0.0001787445,0.0001530156,0.00006373537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001730203,"about_ca_system_score_gemma":0.0001414211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855111,"about_ca_topic_score_gemma":0.0004532078,"domain_scores_codex":[0.9978436,0.00001423403,0.0007396879,0.0006901787,0.0003380253,0.0003742844],"domain_scores_gemma":[0.9985347,0.0001201618,0.0005049928,0.0003571272,0.0002411913,0.0002418369],"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":[0.0000191887,0.0001017097,0.1433326,0.00007783357,0.0005770056,0.00002369853,0.00006242799,0.000003521903,0.0001091445,0.8198143,0.001782726,0.03409583],"study_design_scores_gemma":[0.0002734398,0.00004368314,0.5536737,0.0006266208,0.0002105812,0.00007459855,0.00002140756,0.001894642,0.00001347194,0.07802677,0.364614,0.0005270159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1263195,0.1698196,0.05797932,0.551229,0.001897841,0.001711963,0.00202463,0.0002892289,0.08872896],"genre_scores_gemma":[0.9278471,0.05795968,0.002580728,0.01030259,0.0003693621,0.00002125337,0.0001594423,0.00001206865,0.0007477338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8015277,"threshold_uncertainty_score":0.619183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132230552","doi":"10.1177/0160017604267637","title":"Is Distance Really Dead? Comparing Industrial Location Patterns over Time in Canada","year":2004,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":108,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Economic geography; Econometrics; Location model; Computer science; Operations research; Economics; Mathematics","authors":[{"name":"Mario Polèse","is_ca":true},{"name":"Richard Shearmur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06685492548391524,"gpt":0.2617201416384057,"spread":0.1948652161544905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006559074,0.0001412238,0.0003969182,0.0002105461,0.00008378406,0.00007741102,0.0007354863,0.00003324381,0.0004650362],"category_scores_gemma":[0.0001694348,0.0001502415,0.0001008824,0.000639518,0.00009871717,0.0004457055,0.00008319902,0.0001417994,0.000193147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002752197,"about_ca_system_score_gemma":0.001075988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6732362,"about_ca_topic_score_gemma":0.4940159,"domain_scores_codex":[0.998186,0.000008055753,0.0007811578,0.000512342,0.0002458423,0.0002666149],"domain_scores_gemma":[0.9990616,0.00003865438,0.0004360871,0.0002252609,0.0001164721,0.000121946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001776781,0.0001026642,0.5110862,0.0000955137,0.00006711307,0.00001762478,0.00006529915,0.004974025,0.000008190662,0.4756199,0.003108899,0.004836766],"study_design_scores_gemma":[0.001701512,0.0000464753,0.5580993,0.005451831,0.00002302753,0.00004226309,0.00003077276,0.04060107,0.00002696554,0.06230576,0.3304714,0.001199599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7549863,0.02605197,0.007220209,0.166413,0.001937941,0.001151862,0.0004021377,0.0000426099,0.04179394],"genre_scores_gemma":[0.9866379,0.009403463,0.00007859433,0.003500749,0.0001165303,0.00002161186,0.0000334857,0.000008251689,0.0001994441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4133141,"threshold_uncertainty_score":0.7196901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111760097","doi":"10.1177/0160017606286357","title":"Internal Migration, Asymmetric Shocks, and Interprovincial Economic Adjustments in Canada","year":2006,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Human capital; Unemployment; Differential (mechanical device); Internal migration; Productivity; Convergence (economics); Demographic economics; Economic geography; Net migration rate; Population; Macroeconomics; Economic growth; Developing country; Population growth","authors":[{"name":"Serge Coulombe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01475758039889711,"gpt":0.2267525980947566,"spread":0.2119950176958595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006555943,0.0001622451,0.0003920206,0.0004911649,0.00007906296,0.0001011137,0.0006069227,0.00002841072,0.0002800497],"category_scores_gemma":[0.00009706646,0.0001691094,0.0001002449,0.0003869519,0.0001505605,0.0004874353,0.0001301773,0.0001108278,0.0001049108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002454546,"about_ca_system_score_gemma":0.0007169886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9142358,"about_ca_topic_score_gemma":0.8684579,"domain_scores_codex":[0.998085,0.0000111512,0.0009095352,0.0005676256,0.0001560648,0.0002706726],"domain_scores_gemma":[0.999187,0.00005595821,0.0004189674,0.0001650052,0.00006622685,0.0001068322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001271415,0.00005606908,0.4967138,0.00005344606,0.00003787892,0.00001346399,0.00001298607,0.0004630224,0.000007417855,0.4851785,0.007526129,0.009924551],"study_design_scores_gemma":[0.0005587537,0.00003335248,0.6440786,0.0005113381,0.00001260093,0.00006386937,0.0000241151,0.04076375,0.00001629889,0.0452294,0.2681512,0.0005567534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919815,0.06675299,0.001095079,0.06097208,0.00222403,0.0007291894,0.0003007758,0.00002629735,0.07591809],"genre_scores_gemma":[0.978077,0.0193882,0.000176838,0.001712847,0.000177683,0.00003019818,0.00003505848,0.000009153679,0.0003930269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4399491,"threshold_uncertainty_score":0.689608,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2056118104","doi":"10.1177/0160017605278998","title":"High-Poverty Nonmetropolitan Counties in America: Can Economic Development Help?","year":2005,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Poverty; Census; Human capital; Basic needs; Economics; Development economics; Economic growth; Demographic economics; Population; Sociology; Demography","authors":[{"name":"Mark D. Partridge","is_ca":true},{"name":"Dan S. Rickman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03182409665115099,"gpt":0.2591989301201458,"spread":0.2273748334689948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000942935,0.000187759,0.0005175928,0.0005114716,0.000131801,0.0001115744,0.0009564033,0.00003982267,0.001182187],"category_scores_gemma":[0.0001429264,0.0001904045,0.0001611539,0.0004015868,0.0003005996,0.0005296759,0.0001371157,0.0001230132,0.001445029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416939,"about_ca_system_score_gemma":0.0003070129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003868891,"about_ca_topic_score_gemma":0.001830633,"domain_scores_codex":[0.997807,0.00001043441,0.001005323,0.0006385887,0.0001776082,0.0003610044],"domain_scores_gemma":[0.9986721,0.00004451599,0.0008066179,0.000257845,0.00007413554,0.0001447832],"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":[0.000009301389,0.0001263211,0.02327038,0.00005706351,0.00008344939,0.000004265977,0.00009414885,0.001234247,0.00001281589,0.9414209,0.01075709,0.02293001],"study_design_scores_gemma":[0.0002162999,0.00001494021,0.0191177,0.0002094117,0.000004211678,0.0000104434,0.00002233355,0.004390848,0.00002152249,0.01109865,0.9645675,0.0003261423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3409856,0.0837728,0.002152985,0.4870858,0.002734413,0.00118407,0.0004346221,0.0001018276,0.08154795],"genre_scores_gemma":[0.905841,0.07555734,0.00394155,0.01229794,0.0004303211,0.00008209883,0.00007406963,0.00002022874,0.00175547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9538104,"threshold_uncertainty_score":0.9997309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110221584","doi":"10.1177/0160017610375441","title":"Industrial Symbiosis: Old Wine in Recycled Bottles? Some Perspective from the History of Economic and Geographical Thought","year":2010,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Industrial symbiosis; Externality; Perspective (graphical); Relevance (law); Industrial ecology; Phenomenon; Process (computing); Economic geography; Economics; Sociology; Economy; Ecology; Political science; Epistemology; Sustainability; Law","authors":[{"name":"Pierre Desrochers","is_ca":true},{"name":"Samuli Leppälä","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02763118361603752,"gpt":0.2724177336684539,"spread":0.2447865500524164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007917468,0.0001069587,0.0002193993,0.0001475395,0.00002811129,0.00001613221,0.0005809547,0.00009943964,0.0002086599],"category_scores_gemma":[0.0006795367,0.00008431774,0.00006303279,0.0002067583,0.0007141649,0.0003060389,0.00009019425,0.0003853315,0.000005488165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087083,"about_ca_system_score_gemma":0.000465928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115742,"about_ca_topic_score_gemma":0.000201316,"domain_scores_codex":[0.9989747,0.00003842363,0.0003175875,0.0002544784,0.0002337637,0.0001810919],"domain_scores_gemma":[0.9992173,0.0003411717,0.00009604084,0.0001783279,0.0000993815,0.00006774593],"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":[0.00004728965,0.0000810479,0.01115454,0.00004909305,0.0001021008,0.00001094776,0.0002210435,0.0001790306,0.002011309,0.9350542,0.02854452,0.02254483],"study_design_scores_gemma":[0.002059524,0.00008545913,0.02955113,0.001654258,0.00009018564,0.00006858871,0.0004078839,0.007650726,0.0001522689,0.07843659,0.8792194,0.0006239658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7707706,0.1013255,0.00003759137,0.1003623,0.01492248,0.001342723,0.00008061071,0.0001330075,0.01102518],"genre_scores_gemma":[0.9840686,0.01358959,0.0001052643,0.0008574286,0.001104428,0.00005796606,0.000006638027,0.00001346447,0.0001965672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8566176,"threshold_uncertainty_score":0.3438378,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143199403","doi":"10.1177/0160017608318521","title":"The Left Brain of North American Cities","year":2008,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Census; Human capital; Science and engineering; Economic geography; Capital (architecture); Population; Regional science; Demographic economics; Economic growth; Geography; Economics; Sociology; Engineering; Demography","authors":[{"name":"Desmond Beckstead","is_ca":true},{"name":"W. Mark Brown","is_ca":true},{"name":"Guy Gellatly","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05202593541823496,"gpt":0.2670192203826676,"spread":0.2149932849644327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007747699,0.0000952748,0.0003174412,0.0001476242,0.0002906834,0.00003243365,0.0009502651,0.000008657624,0.00009219832],"category_scores_gemma":[0.0003954104,0.00007360891,0.0002174538,0.0004820528,0.00156844,0.0002300618,0.00009226188,0.00007174887,0.0001425637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126756,"about_ca_system_score_gemma":0.0001120706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006393763,"about_ca_topic_score_gemma":0.0003957613,"domain_scores_codex":[0.9986999,0.00001043244,0.0006246332,0.0002902506,0.0001839895,0.0001908136],"domain_scores_gemma":[0.9987229,0.0001632497,0.0006148852,0.0002420134,0.0001788785,0.00007814829],"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":[0.000008267976,0.00004598798,0.1887155,0.00003451988,0.00009020921,0.000003418862,0.00007247747,0.00008737119,0.00000471012,0.7820463,0.01395884,0.01493242],"study_design_scores_gemma":[0.00006201541,0.00002835051,0.3325893,0.00007370719,0.000003437417,0.0000398642,0.000008421312,0.001057506,0.000005076433,0.008264279,0.6577322,0.0001358791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6192167,0.05208039,0.001305972,0.2752544,0.0008813796,0.0004598339,0.0001447736,0.00003380009,0.05062273],"genre_scores_gemma":[0.8302407,0.1650273,0.0001900487,0.002926578,0.00008997643,0.00001110978,0.000009279556,0.000006168462,0.001498845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.773782,"threshold_uncertainty_score":0.5778983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2773197520","doi":"10.1177/0160017617739065","title":"Ethnic Discrimination in the Rental Housing Market: An Experiment in New Caledonia","year":2017,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Housing discrimination; Ethnic discrimination; Ethnic group; Renting; Rental housing; Demographic economics; Real estate; Census; Residence; Racism; Estate; Quarter (Canadian coin); Geography; Business; Sociology; Political science; Demography; Gender studies; Finance; Economics; Law","authors":[{"name":"Mathieu Bunel","is_ca":false},{"name":"Samuel Gorohouna","is_ca":false},{"name":"Yannick L’Horty","is_ca":false},{"name":"Pascale Petit","is_ca":false},{"name":"Catherine Ris","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2374613706861875,"gpt":0.5278095971093726,"spread":0.290348226423185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005519196,0.00009325943,0.0001306968,0.0002383508,0.0008666983,0.0005775192,0.002313214,0.00003713863,0.0004509472],"category_scores_gemma":[0.001969234,0.0000714173,0.00006650098,0.0004343816,0.001034911,0.00184483,0.0001557018,0.0001715859,0.00002472006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242913,"about_ca_system_score_gemma":0.001018971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01592389,"about_ca_topic_score_gemma":0.03904422,"domain_scores_codex":[0.9965396,0.0002898256,0.0002969484,0.0003506679,0.002194817,0.0003281536],"domain_scores_gemma":[0.9990333,0.0001139005,0.0001790678,0.0003292073,0.0002014638,0.000143049],"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":[0.0000465766,0.0009005068,0.07339505,0.0001981473,0.00001001592,0.00009047143,0.0179406,0.000009087086,0.0004165515,0.5156679,0.01746434,0.3738608],"study_design_scores_gemma":[0.0005257447,0.00004050854,0.8710589,0.002072478,0.00001045234,0.00001073079,0.005588745,0.0004562935,0.00002728265,0.01428895,0.1056318,0.0002880715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2264683,0.03128479,0.0004177771,0.3114605,0.002361782,0.00273879,0.00001005087,0.0000585457,0.4251995],"genre_scores_gemma":[0.9633869,0.03266462,0.0003106644,0.001150039,0.0002642429,0.00004976576,0.000006798798,0.000005742038,0.00216123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7976639,"threshold_uncertainty_score":0.9906291,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001120687","doi":"10.1177/0160017608325594","title":"Assessing the Effectiveness of Human Capital Investments on the Regional Unemployment Rate in the United States: 1990 and 2000","year":2008,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Unemployment; Economics; Human capital; Investment (military); Per capita; Labour economics; Population; Net migration rate; Demographic economics; Economic growth; Population growth; Demography","authors":[{"name":"Adela P. Nistor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1098767050589886,"gpt":0.3255073965403297,"spread":0.2156306914813411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00473937,0.0001348308,0.0002764433,0.0002244991,0.0003664918,0.0001008425,0.0008573603,0.00002349206,0.00004805122],"category_scores_gemma":[0.0002162289,0.00007367052,0.0001264787,0.0006815937,0.0009353601,0.0002721904,0.00008047467,0.0001530915,0.0000240361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109427,"about_ca_system_score_gemma":0.00009631248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985763,"about_ca_topic_score_gemma":0.00004400918,"domain_scores_codex":[0.9985293,0.0001716538,0.000543289,0.0003409799,0.0002361955,0.0001786386],"domain_scores_gemma":[0.9983535,0.0008322943,0.0004049409,0.0002648613,0.0001003828,0.000044066],"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":[0.000008854664,0.0001029857,0.01949297,0.00004345786,0.00005236076,0.00000404749,0.0003031009,0.000531285,0.00002109653,0.9787977,0.0004965086,0.0001455816],"study_design_scores_gemma":[0.0004745544,0.0001112032,0.7304626,0.001416847,0.00001863586,0.00005638167,0.0002656424,0.005398327,0.00002865147,0.2089152,0.05255008,0.0003018802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637813,0.004371603,0.00003857672,0.02931844,0.00007572885,0.0003476622,0.00001475409,0.000003222229,0.00204874],"genre_scores_gemma":[0.968515,0.02479587,0.00001038447,0.006478389,0.00003696905,0.00006720489,0.00003430172,0.000005976246,0.00005592592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7698826,"threshold_uncertainty_score":0.3446373,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142649406","doi":"10.1177/016001760102400307","title":"Regional Development and Planning: The Story of a Collaboration","year":2001,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Global Urban Networks and Dynamics","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Restructuring; Metropolitan area; Sustainability; Field (mathematics); Regional science; Task (project management); Political science; Economic geography; Economic growth; Sociology; Geography; Economics; Management; Archaeology","authors":[{"name":"John Friedmann","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05787887333237304,"gpt":0.3696177773456772,"spread":0.3117389040133042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135821,0.00006461944,0.00009955112,0.0000535997,0.0005827502,0.00005332162,0.0004765089,0.00002518647,0.00003581256],"category_scores_gemma":[0.0004693955,0.00004537556,0.00003060867,0.0006433793,0.0009855322,0.0002747252,0.00005592457,0.00008705079,0.000005814437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896778,"about_ca_system_score_gemma":0.0007993109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006702462,"about_ca_topic_score_gemma":0.0001626811,"domain_scores_codex":[0.9983431,0.00008622831,0.0001967758,0.0001764108,0.001034505,0.0001630232],"domain_scores_gemma":[0.9989722,0.0001640922,0.0001670527,0.00008637516,0.0005234408,0.00008685309],"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":[0.00002395296,0.00007090003,0.007912537,0.00005675688,0.00002953641,0.000009608682,0.005089721,0.0001645377,0.00002809719,0.8341816,0.05717026,0.09526251],"study_design_scores_gemma":[0.00004994759,0.000006456173,0.008196396,0.0005507061,0.000005037861,0.00001210414,0.000781517,0.0001807344,7.341405e-7,0.001392201,0.9887627,0.00006150591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2610839,0.2158176,0.002291694,0.3626061,0.00268862,0.001803971,0.00001033279,0.0001066801,0.1535911],"genre_scores_gemma":[0.8869395,0.1014083,0.001818626,0.006579958,0.0004996304,0.00004470459,0.00001286053,0.00000725658,0.002689143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9315924,"threshold_uncertainty_score":0.4482102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141310647","doi":"10.1177/0160017609331398","title":"How Office Firms Conduct Their Location Search Process?","year":2009,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; IBI Group (Canada)","funders":"","keywords":"Business; Satisficing; Process (computing); Decision-making; Marketing; Economies of agglomeration; Location; Economics; Computer science; Economic growth; Microeconomics; Geography","authors":[{"name":"Ilan Elgar","is_ca":true},{"name":"Eric J. Miller","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1025872845464806,"gpt":0.3108298366124965,"spread":0.2082425520660159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003290054,0.0001169158,0.0001327218,0.00008589486,0.00006689627,0.00008029704,0.0005807353,0.00002721793,0.00005911321],"category_scores_gemma":[0.00007942895,0.00008834287,0.00004992104,0.0005938814,0.0002094941,0.0004480043,0.000007625858,0.0001290641,0.00004780446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215625,"about_ca_system_score_gemma":0.0001224106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002582125,"about_ca_topic_score_gemma":0.000002313149,"domain_scores_codex":[0.9987636,0.000007328668,0.0001690929,0.0002087353,0.0006459597,0.0002052836],"domain_scores_gemma":[0.999288,0.00002821927,0.00003094385,0.0001470197,0.0004074553,0.00009833592],"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":[0.00004343607,0.0005388823,0.00195622,0.004212865,0.000174713,0.00008992861,0.0008149971,0.01688007,0.01517239,0.4161594,0.05526111,0.488696],"study_design_scores_gemma":[0.000518292,0.0001607959,0.03695344,0.006180986,0.00005605803,0.0002860531,0.0001066682,0.05518266,0.004271977,0.009872044,0.8852916,0.00111941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07530785,0.3958496,0.1555091,0.1780525,0.00492134,0.003524334,0.0001447932,0.00202617,0.1846643],"genre_scores_gemma":[0.9729081,0.02525749,0.0003380856,0.001013777,0.0001384965,0.00000852858,0.00003095804,0.000006562065,0.0002980204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8976002,"threshold_uncertainty_score":0.3602518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162185876","doi":"10.1177/0160017611403141","title":"Neighborhood and Efficiency in Manufacturing in Brazilian Regions","year":2011,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Economic geography; Markov chain; Economics; Econometrics; Geography; Mathematics; Statistics","authors":[{"name":"Daniela Schettini","is_ca":false},{"name":"Carlos Roberto Azzoni","is_ca":false},{"name":"Antonio Páez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06111182838981143,"gpt":0.2637713421247615,"spread":0.2026595137349501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034047,0.0001215235,0.0003220453,0.0005985448,0.00006186307,0.00004287748,0.0005695981,0.00003536381,0.0003128519],"category_scores_gemma":[0.0001334503,0.0001230043,0.0000909196,0.0004881164,0.0002579429,0.000475743,0.0001103885,0.0001256877,0.0001120482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020105,"about_ca_system_score_gemma":0.00005157773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438077,"about_ca_topic_score_gemma":0.0004900101,"domain_scores_codex":[0.9984643,0.00001034527,0.0006453952,0.0005196082,0.0001021923,0.0002581171],"domain_scores_gemma":[0.999407,0.00003604694,0.0002347206,0.0001864089,0.00003303391,0.0001027851],"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":[0.000005703246,0.0001001963,0.07065837,0.00004055641,0.000009480194,0.00001355098,0.0001504223,0.00002080139,0.000004297394,0.9244738,0.0001164908,0.004406308],"study_design_scores_gemma":[0.0006449374,0.00005046521,0.5324682,0.001018112,0.000006519667,0.00008076652,0.00004897883,0.006743952,0.00002973115,0.3888664,0.06948694,0.0005550671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4683766,0.07956289,0.002358043,0.07224368,0.001005734,0.001107922,0.00005262574,0.00005297188,0.3752396],"genre_scores_gemma":[0.9534928,0.04444376,0.0002921332,0.001540516,0.0000296531,0.00002557121,0.000003821752,0.000006562661,0.0001652391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5356075,"threshold_uncertainty_score":0.501597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1503214393","doi":"10.1177/0160017614524226","title":"The Relationship between Population Dynamics and Urban Hierarchy","year":2014,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Hierarchy; Urban hierarchy; Population; Service (business); Work (physics); Census; Dynamics (music); Regional science; Geography; Operations research; Economic geography; Computer science; Business; Sociology; Economics; Marketing; Engineering; Demography","authors":[{"name":"João F. Bigotte","is_ca":false},{"name":"António Pais Antunes","is_ca":false},{"name":"Dmitry Krass","is_ca":true},{"name":"Oded Berman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06345539760371109,"gpt":0.2874987107235114,"spread":0.2240433131198003,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002067228,0.00009995022,0.0002287914,0.0001575381,0.0004740412,0.0001766811,0.0005381681,0.00003235311,0.00002780604],"category_scores_gemma":[0.001205412,0.00008120709,0.0001083143,0.0003485419,0.0003222373,0.0003599828,0.00009055425,0.0001115526,0.0001115176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268174,"about_ca_system_score_gemma":0.00002544549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002755619,"about_ca_topic_score_gemma":0.00008469975,"domain_scores_codex":[0.9987385,0.00002160189,0.0005500397,0.0003584845,0.0001478489,0.0001834775],"domain_scores_gemma":[0.9987133,0.000506625,0.0003703175,0.0002202802,0.00008233825,0.0001072029],"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":[6.79562e-7,0.000002780904,0.362205,0.000009539296,0.000007155678,5.114413e-8,0.000004238922,0.000004269923,7.866092e-8,0.6331729,0.000268846,0.004324452],"study_design_scores_gemma":[0.00005774396,0.00001014252,0.6423998,0.00009927189,0.000005604051,0.000003849277,0.00000244738,0.01039403,1.08849e-7,0.2466791,0.1002462,0.0001016673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3098799,0.06632534,0.027322,0.51367,0.001770378,0.001089405,0.0001689601,0.0001070872,0.07966684],"genre_scores_gemma":[0.9876386,0.01013772,0.0002392703,0.0007864215,0.0002057086,0.00001660066,0.00005163006,0.000007075123,0.0009170039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6777586,"threshold_uncertainty_score":0.364599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113544303","doi":"10.1177/0160017612461356","title":"Behavioral Housing Search Choice Set Formation","year":2012,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Replicate; Set (abstract data type); Choice set; Process (computing); Hazard; Work (physics); Computer science; Discrete choice; Order (exchange); Metropolitan area; Econometrics; Economics; Operations research; Engineering; Geography; Mathematics; Statistics","authors":[{"name":"Taha Hossein Rashidi","is_ca":true},{"name":"Abolfazl Mohammadian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2141601075602594,"gpt":0.482606326680418,"spread":0.2684462191201586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002703614,0.00008225361,0.0001150042,0.00009581296,0.0005624008,0.0001105683,0.0007438931,0.00003319014,0.0006328084],"category_scores_gemma":[0.000188659,0.00007062267,0.00008872336,0.0006662919,0.0006898875,0.003214261,0.00005152008,0.0001183972,0.0001275745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004032925,"about_ca_system_score_gemma":0.0003232239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238138,"about_ca_topic_score_gemma":0.0003596843,"domain_scores_codex":[0.9974579,0.00007005179,0.0002565641,0.0001945101,0.001597071,0.0004238635],"domain_scores_gemma":[0.9990851,0.00006561874,0.0001026817,0.0001337047,0.0003720213,0.0002408679],"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":[0.000009871578,0.0004111376,0.7964535,0.0002789322,0.00001269031,0.00000361329,0.00480441,0.000003895723,0.0006378904,0.04203759,0.006532307,0.1488141],"study_design_scores_gemma":[0.00011554,0.00001232676,0.2060934,0.0008998428,0.00002562449,0.000004621094,0.0003859708,0.00004256758,0.000146807,0.0004781417,0.7915585,0.0002366436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210925,0.01772614,0.0006976409,0.01973611,0.001506741,0.0006766006,0.00001655082,0.0001219376,0.03842581],"genre_scores_gemma":[0.9933907,0.004419962,0.0003029571,0.0009786739,0.0005285814,0.0000143646,0.00001979988,0.000004116721,0.000340795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7850262,"threshold_uncertainty_score":0.6928808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323045498","doi":"10.1177/01600176231160485","title":"The Evolution of Job Insecurity in Spatial Contexts in Europe During COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Instituto de Salud Carlos III; New York University Abu Dhabi; Rijksuniversiteit Groningen; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; European Commission; York University","keywords":"Pandemic; Unemployment; Context (archaeology); Feeling; Demographic economics; Job security; Coronavirus disease 2019 (COVID-19); Economic growth; Geography; Development economics; Psychology; Economics; Social psychology; Medicine; Work (physics)","authors":[{"name":"Bogdan–Constantin Ibănescu","is_ca":false},{"name":"Alexandra Gheorghiu","is_ca":false},{"name":"Mioara Cristea","is_ca":false},{"name":"Gabriela Carmen Pascariu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1459783273261455,"gpt":0.4881152652346788,"spread":0.3421369379085333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003443443,0.00008115855,0.000180762,0.0002174219,0.0004803769,0.000005949665,0.0005228542,0.00002957751,0.00005039684],"category_scores_gemma":[0.00447068,0.00005471953,0.0000398289,0.001506449,0.0003823728,0.0001632149,0.0002876145,0.0002411402,0.00008205467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009622896,"about_ca_system_score_gemma":0.0009114753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287615,"about_ca_topic_score_gemma":0.008701704,"domain_scores_codex":[0.9979331,0.0002701384,0.0005762639,0.0002325844,0.0006843436,0.0003035617],"domain_scores_gemma":[0.9985766,0.0006710659,0.0002234063,0.0001325027,0.000324653,0.00007180024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002572363,0.00001536888,0.9626344,0.00036558,0.000003785905,0.00000619062,0.0005017699,0.000008527171,0.0001513502,0.03268462,0.00145435,0.002148282],"study_design_scores_gemma":[0.0003323024,0.000009739809,0.9354936,0.002129077,0.000002275671,0.000002710053,0.0001724019,0.00005375788,8.465262e-7,0.003575118,0.05816779,0.00006039265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9102406,0.01741285,0.00003172606,0.06551895,0.0008488998,0.0009895477,0.00001415176,0.0000573506,0.004885947],"genre_scores_gemma":[0.9199315,0.07843052,0.000002562093,0.0007915083,0.00007683381,0.0001043401,0.000004340187,0.000004190223,0.0006541745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06472744,"threshold_uncertainty_score":0.5352145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063068181","doi":"10.1177/0160017610383280","title":"Persistence of Unemployment in the Canadian Provinces","year":2010,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Unit root; Persistence (discontinuity); Unemployment; Statistic; Econometrics; Economics; Unemployment rate; Statistics; Long memory; Unit root test; Mathematics; Demographic economics; Cointegration; Macroeconomics","authors":[{"name":"Firouz Fallahi","is_ca":false},{"name":"Gabriel Rodrı́guez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06866013356639424,"gpt":0.2743355485171323,"spread":0.2056754149507381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001822607,0.00007214943,0.0001973983,0.0002779999,0.0001070019,0.0000615615,0.001154939,0.00002540702,0.000302991],"category_scores_gemma":[0.0002328851,0.00005527591,0.0001231959,0.000488155,0.0004073139,0.0002213952,0.00003486178,0.0001327722,0.00008689079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785928,"about_ca_system_score_gemma":0.0003344783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07800113,"about_ca_topic_score_gemma":0.2371649,"domain_scores_codex":[0.9989364,0.000007584186,0.0004558875,0.0002658028,0.0001617598,0.0001725684],"domain_scores_gemma":[0.999302,0.00004457632,0.0002562508,0.0002125276,0.0001047793,0.000079905],"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":[9.106985e-7,0.00002955333,0.0257349,0.00002165004,0.000008738073,0.000001852608,0.00007083482,0.0000192387,0.00002065944,0.971716,0.00046489,0.001910752],"study_design_scores_gemma":[0.0001349053,0.00003124875,0.11048,0.000288098,0.000007144013,0.00003515823,0.00005458937,0.003640812,0.00001481414,0.06532856,0.8197556,0.0002291003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2914743,0.01865049,0.0000715104,0.3969916,0.001311852,0.0008816826,0.0001111386,0.00001090948,0.2904965],"genre_scores_gemma":[0.9913113,0.005704583,0.0002162704,0.002539643,0.00005096897,0.00002493403,0.000005884568,0.000002762217,0.0001436715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9063874,"threshold_uncertainty_score":0.9281386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285798232","doi":"10.1177/01600176221116568","title":"An Individual Level Method for Improved Estimation of Ethnic Characteristics","year":2022,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Economic and Social Research Council; Engineering and Physical Sciences Research Council","keywords":"Census; Ethnic group; Weighting; Geocoding; Estimation; Geography; Small area estimation; Irish; Equity (law); Regional science; Demographic economics; Demography; Econometrics; Sociology; Cartography; Population; Political science; Economics","authors":[{"name":"Tian Lan","is_ca":false},{"name":"Paul Longley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1591338373775453,"gpt":0.4738455394521428,"spread":0.3147117020745975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004707337,0.00007013081,0.000152929,0.0001255419,0.0004901983,0.00004443065,0.0009566255,0.00002167214,0.000423675],"category_scores_gemma":[0.000944283,0.00006835985,0.00008213986,0.0007223858,0.0002772223,0.0003887694,0.00007387043,0.00009479947,0.00000214871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002290852,"about_ca_system_score_gemma":0.0008439459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001700219,"about_ca_topic_score_gemma":0.000200387,"domain_scores_codex":[0.998048,0.0001708037,0.0003354492,0.0002365136,0.001037093,0.000172118],"domain_scores_gemma":[0.9987271,0.0001855127,0.0003361615,0.000133716,0.0005183008,0.0000992326],"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":[0.00001719044,0.0001550215,0.00006026357,0.00008092507,0.00001818467,3.223808e-7,0.002740016,0.0003789511,0.001337308,0.4490775,0.001584741,0.5445496],"study_design_scores_gemma":[0.0004754871,0.0002621147,0.00891529,0.0003910421,0.00008837683,0.00001747119,0.001707992,0.2768036,0.00007766569,0.01544819,0.6953722,0.0004406079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04064278,0.009840244,0.8024611,0.1256136,0.0049695,0.005717486,0.003835218,0.0002387159,0.006681375],"genre_scores_gemma":[0.678503,0.03123867,0.2616785,0.02145598,0.0007577766,0.001068888,0.001671132,0.00004455552,0.003581447],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6937874,"threshold_uncertainty_score":0.4638944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2969542179","doi":"10.1177/0160017619869788","title":"The Hope Fulfilled? Measuring Research Performance of Universities in the Economic Crisis","year":2019,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Financial crisis; Atlanta; Economics; Political science; Economic growth; Business; Accounting; Public economics; Macroeconomics; Metropolitan area; Geography","authors":[{"name":"Qiantao Zhang","is_ca":true},{"name":"Paige A. Clayton","is_ca":false},{"name":"Shiri M. Breznitz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08703403570961246,"gpt":0.4103881756756056,"spread":0.3233541399659932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007553002,0.00004281837,0.0000797159,0.00009127517,0.0003917471,0.0000618538,0.001446444,0.00001423363,0.0001780459],"category_scores_gemma":[0.0001034505,0.00002680431,0.00003942663,0.0005683899,0.0006247374,0.0004365369,0.00007360058,0.000111994,0.0002053796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009331373,"about_ca_system_score_gemma":0.002512694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433519,"about_ca_topic_score_gemma":0.0003988157,"domain_scores_codex":[0.9977762,0.0001609105,0.0001982217,0.0001595467,0.001488558,0.0002165859],"domain_scores_gemma":[0.9989529,0.0003895909,0.0001055279,0.0001628847,0.0003552917,0.00003376316],"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":[0.00002953237,0.00006085452,0.02506148,0.0001384613,0.00002150164,0.000001592306,0.01620369,0.0001200972,0.00004055354,0.8541283,0.07782488,0.02636907],"study_design_scores_gemma":[0.00004972886,0.00001086283,0.03126439,0.0005117374,0.000001246838,0.000001631533,0.009370691,0.00002481448,0.00001037181,0.0005842538,0.9581205,0.00004974043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7647668,0.008262143,0.000001256156,0.09229403,0.0008047699,0.0004340162,0.000002611858,0.000005905611,0.1334285],"genre_scores_gemma":[0.9130703,0.08308235,0.0000337908,0.0006411262,0.00007306126,0.00001772179,5.597448e-7,0.000001612826,0.003079443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8802956,"threshold_uncertainty_score":0.4457411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4229334755","doi":"10.1177/01600176221092483","title":"A Multi-Scale Suitability Analysis of Home-Improvement Retail-Store Site Selection for Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"Mitacs","keywords":"Metropolitan area; Revenue; Census; Scale (ratio); Geography; Economies of agglomeration; Site selection; Competition (biology); Business; Transport engineering; Computer science; Cartography; Population; Ecology; Engineering","authors":[{"name":"Derek T. Robinson","is_ca":true},{"name":"Bogdan Caradima","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03854305384229825,"gpt":0.2500485405628704,"spread":0.2115054867205722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005150028,0.00009095438,0.0002282344,0.0001380425,0.0001161976,0.000008955252,0.0003614008,0.00001156835,0.000787659],"category_scores_gemma":[0.00003054648,0.00008709306,0.000148659,0.0008813761,0.00008900953,0.00008543194,0.00003144767,0.0001025714,4.852267e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985354,"about_ca_system_score_gemma":0.0005940054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2832016,"about_ca_topic_score_gemma":0.8935984,"domain_scores_codex":[0.9985188,0.000008912286,0.0003330897,0.0002260733,0.0007467487,0.0001664151],"domain_scores_gemma":[0.9994332,0.00004461795,0.00008191712,0.0001308337,0.0002405405,0.00006888108],"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":[0.00009566517,0.0007245694,0.6920307,0.002356941,0.002365971,0.00001140531,0.0009313724,0.2192381,0.01863568,0.00891409,0.0267874,0.02790818],"study_design_scores_gemma":[0.0003448466,0.0000978898,0.2136173,0.000150949,0.0006344664,0.0000081132,0.00003677116,0.2996361,0.0001996147,0.0001272575,0.4847803,0.0003663481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8385282,0.02456928,0.1160309,0.004547841,0.004847488,0.003656314,0.003074271,0.00025797,0.004487698],"genre_scores_gemma":[0.9954532,0.0008088462,0.002492366,0.000329766,0.00002382795,0.0001403415,0.0002056079,0.000007405824,0.0005386598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6103969,"threshold_uncertainty_score":0.8624313,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127771271","doi":"10.1177/016001702762481258","title":"Immigration, Intended Settlement Patterns, and their Dynamics in the United States, 1980-1990","year":2002,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"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":"Immigration; Settlement (finance); Naturalization; Metropolitan area; Demographic economics; Geography; Immigration policy; Economic geography; Service (business); Development economics; Economic growth; Economics; Economy; Sociology; Demography; Census","authors":[{"name":"K. Bruce Newbold","is_ca":true},{"name":"Nuzul Achjar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03620687262626274,"gpt":0.3261812567488401,"spread":0.2899743841225773,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042074,0.0001134441,0.000121696,0.0001899715,0.0003279599,0.0001738331,0.0007707,0.00003025728,0.0003153053],"category_scores_gemma":[0.0002931324,0.00007305435,0.00004697381,0.00109,0.0005293434,0.0003472348,0.00005477573,0.0001421743,0.00002032599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397055,"about_ca_system_score_gemma":0.00009125197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320991,"about_ca_topic_score_gemma":0.02906979,"domain_scores_codex":[0.9981205,0.0001950754,0.0003155032,0.0002602878,0.0008669941,0.0002416571],"domain_scores_gemma":[0.9991217,0.0001678181,0.0001366581,0.0001548864,0.0003280052,0.00009093971],"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":[0.000003470036,0.0001362434,0.008210692,0.00006444057,0.00001400652,0.000005951695,0.01648398,0.00004137469,0.00000462573,0.9218756,0.01151793,0.04164167],"study_design_scores_gemma":[0.0001528826,0.00002149013,0.003822137,0.0006549101,0.000006855642,0.00001626307,0.01169317,0.07105859,8.862494e-7,0.003322947,0.90907,0.0001798878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1542154,0.01365151,0.003434064,0.8090574,0.0008362749,0.00175338,0.0002815602,0.0001002177,0.01667021],"genre_scores_gemma":[0.7076089,0.2710687,0.00009512759,0.02008214,0.00009877649,0.00005699914,0.00025718,0.000006204779,0.000725982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9185527,"threshold_uncertainty_score":0.9886472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2136799686","doi":"10.1177/0160017610375443","title":"The Spatiality and Cost of Language Identity","year":2010,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"","keywords":"Identity (music); Sociology; Social identity approach; Government (linguistics); Social identity theory; sort; Census; Social capital; Econometrics; Geography; Economics; Social group; Public economics; Social science; Linguistics; Mathematics; Demography","authors":[{"name":"Diana Mok","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04400603884897807,"gpt":0.4238695841107067,"spread":0.3798635452617286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00265608,0.00005167746,0.000101219,0.00003326709,0.0006777029,0.00009207547,0.0005913044,0.00001917944,0.0001368062],"category_scores_gemma":[0.002460402,0.00003361468,0.00004759437,0.0003276986,0.002271684,0.0004615407,0.00009506236,0.0000941739,0.00001364953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709709,"about_ca_system_score_gemma":0.000238724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682312,"about_ca_topic_score_gemma":0.006083897,"domain_scores_codex":[0.9984346,0.00005646164,0.0001982102,0.0001527841,0.001017125,0.0001408169],"domain_scores_gemma":[0.9988382,0.0003490743,0.0001523664,0.0001216176,0.0004615887,0.00007713417],"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":[0.000002890726,0.00002335029,0.01240746,0.00002967017,0.00001285592,7.837222e-7,0.001511665,1.177788e-7,0.0003716865,0.9070187,0.002810677,0.0758101],"study_design_scores_gemma":[0.00008620353,0.000007350182,0.04671443,0.0002162588,0.00001271177,0.000004707055,0.0008011703,0.00003069556,0.00005436746,0.008474519,0.9435066,0.00009098779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2410363,0.09586404,0.001439724,0.2634286,0.007167862,0.002426895,0.00006681894,0.0001326433,0.3884372],"genre_scores_gemma":[0.9347115,0.0629831,0.0001437936,0.0007485588,0.0002174769,0.00001929478,0.000001618634,0.000002154677,0.001172516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9406959,"threshold_uncertainty_score":0.8370116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126244115","doi":"10.1177/0160017607309447","title":"Trade and the Industrial Specialization of Canadian Manufacturing Regions, 1974 to 1999","year":2008,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada","funders":"","keywords":"Economics; Comparative advantage; Economic geography; International trade; Economic integration; Free trade; Manufacturing; Trade barrier; Regional trade; International economics; Business","authors":[{"name":"W. Mark Brown","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1017284903948161,"gpt":0.2541851952563208,"spread":0.1524567048615047,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009808894,0.00009806659,0.0003289509,0.0006671335,0.0002358012,0.00003958932,0.0005425242,0.00003423388,0.0001453802],"category_scores_gemma":[0.0002903703,0.0000793602,0.000130765,0.0006721264,0.0005214962,0.0002204169,0.00005995789,0.00008208755,0.00004845922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001861102,"about_ca_system_score_gemma":0.0001697899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04520806,"about_ca_topic_score_gemma":0.005081203,"domain_scores_codex":[0.9987752,0.00001499076,0.0005666082,0.0003150707,0.0001489237,0.0001791339],"domain_scores_gemma":[0.9992151,0.00006381052,0.0003037986,0.0001815684,0.0000500204,0.0001856795],"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":[0.00001237396,0.00001215946,0.002163776,0.00001423038,0.00003242895,0.000002469095,0.0001259058,0.00008522155,0.000002557038,0.9850948,0.009627653,0.00282643],"study_design_scores_gemma":[0.0003667258,0.00001450762,0.01366918,0.0002140727,0.000008893422,0.00005340559,0.00001283589,0.0005385902,0.00003125477,0.01660702,0.9683347,0.0001487974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09353063,0.03879873,0.001679434,0.7981007,0.00143471,0.001463303,0.0001893412,0.00002345461,0.06477968],"genre_scores_gemma":[0.8751627,0.118461,0.0002288386,0.005362518,0.0003424968,0.00002645406,0.00001653901,0.000008010803,0.0003914896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9684878,"threshold_uncertainty_score":0.96115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}