{"meta":{"query_hash":"3db21cffa4e9","filters":{"venue":"Southern Economic Journal"},"cohort_total":65,"direct_labels_cover":0,"predictions_cover":65,"exported":65,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3db21cffa4e9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Southern+Economic+Journal"},"results":[{"id":"W1495007008","doi":"10.1002/j.2325-8012.2007.tb00803.x","title":"Domestic‐Foreign Interest Rate Differentials: Near Unit Roots and Symmetric Threshold Models","year":2007,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extant taxon; Heteroscedasticity; Unit root; Econometrics; Economics; Unit (ring theory); Series (stratigraphy); Mathematics; Term (time); Statistics; Physics; Geology; Paleontology","score_opus":0.10834034530573322,"score_gpt":0.25447209529145104,"score_spread":0.14613174998571782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495007008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96962774,0.001960271,0.0067840545,0.00024153355,0.0008526517,0.00017505352,0.00022130704,0.000038397495,0.020099008],"genre_scores_gemma":[0.99698865,0.00039923826,0.00032026763,0.00034793303,0.0006951555,0.0000029883422,0.000011565234,0.00007491099,0.0011592947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971467,0.000033516262,0.0014125326,0.0005069423,0.000025395131,0.00087487086],"domain_scores_gemma":[0.99809414,0.0001598938,0.0008295018,0.0003969097,0.000013034229,0.00050652685],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026819436,0.00037342447,0.0007422787,0.0006437696,0.0003849799,0.0005825289,0.00044092673,0.0002077006,0.001527448],"category_scores_gemma":[0.00006397798,0.00039807882,0.0002481638,0.00011172332,0.00018119023,0.0006851343,0.00012339353,0.0005672611,0.002580691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069062784,0.00032451437,0.3301455,0.00010211438,0.001687173,0.00020423623,0.006396527,0.04732583,0.000060159487,0.598075,0.0021359117,0.012852402],"study_design_scores_gemma":[0.0037632722,0.00028079166,0.04787326,0.000059442355,0.00006224739,0.0009766545,0.0015910643,0.2241624,0.000042894968,0.7144024,0.005529993,0.0012555906],"about_ca_topic_score_codex":0.00042628564,"about_ca_topic_score_gemma":0.000154792,"teacher_disagreement_score":0.28227228,"about_ca_system_score_codex":0.00025223885,"about_ca_system_score_gemma":0.000041793453,"threshold_uncertainty_score":0.9998471},"labels":[],"label_agreement":null},{"id":"W1545996726","doi":"10.1002/j.2325-8012.2007.tb00799.x","title":"Trade, Social Values, and the Generalized Trust","year":2007,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Openness to experience; Inequality; Globalization; Conjecture; Economics; Distribution (mathematics); World Values Survey; Economic globalization; Economic inequality; Econometrics; Social psychology; Psychology; Mathematics","score_opus":0.022681072606898098,"score_gpt":0.2754522570905469,"score_spread":0.25277118448364877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545996726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8507585,0.0014220607,0.00011495405,0.012132358,0.0010550582,0.00018202457,0.000012411422,0.000034853936,0.13428777],"genre_scores_gemma":[0.9868552,0.00084859354,0.00018286261,0.00093056395,0.0034955333,0.0000032503117,9.984452e-7,0.0000134867705,0.0076695173],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901855,0.000113936025,0.00031622956,0.00012577484,0.00008562987,0.00033988894],"domain_scores_gemma":[0.9995584,0.0000924343,0.00018863149,0.000046999772,0.000013705769,0.00009982082],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028747527,0.00010328135,0.00021284033,0.000037264872,0.0022135708,0.00021162446,0.00017985358,0.00007058126,0.0004147283],"category_scores_gemma":[0.00003462673,0.000071138624,0.00011685987,0.000030445792,0.0005965627,0.00011293275,0.000029385112,0.00018364874,0.00010107378],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003733961,0.000035033983,0.04530376,0.000004395253,0.00051443855,0.000012990484,0.75292766,0.000007824715,0.0000067494557,0.1243776,0.03805341,0.03838273],"study_design_scores_gemma":[0.005207483,0.000014704989,0.023651293,0.0000072147773,0.000065257795,0.000056664776,0.42131418,0.000017696004,0.0000074918385,0.080749415,0.46853057,0.0003780527],"about_ca_topic_score_codex":0.0003380044,"about_ca_topic_score_gemma":0.0015840655,"teacher_disagreement_score":0.43047714,"about_ca_system_score_codex":0.00016268434,"about_ca_system_score_gemma":0.00012709943,"threshold_uncertainty_score":0.9990854},"labels":[],"label_agreement":null},{"id":"W1549833049","doi":"10.1002/j.2325-8012.2007.tb00824.x","title":"Explaining the Rain:<i>The Rise and Decline of Nations</i>after 25 Years","year":2007,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Opposition (politics); Quarter (Canadian coin); Narrative; Politics; Positive economics; Sample (material); Development economics; Political science; Economics; History; Social science; Sociology; Law; Philosophy; Archaeology","score_opus":0.01784513094275938,"score_gpt":0.30208704976277223,"score_spread":0.2842419188200129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549833049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98030174,0.00081317173,0.000035462297,0.0063209943,0.0004002581,0.00007261254,0.000009121818,0.0000062812856,0.012040333],"genre_scores_gemma":[0.99713075,0.00038231557,0.000028868311,0.00025373136,0.001392729,0.0000017815539,5.6265133e-8,0.000005457741,0.0008043331],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99938256,0.00008281841,0.00021035346,0.00005235606,0.00008534505,0.00018656359],"domain_scores_gemma":[0.99941164,0.00030361535,0.00015923208,0.000053793752,0.00002481013,0.00004688022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025848453,0.00004780736,0.000086434535,0.0000432751,0.0009000319,0.00005244573,0.00015843748,0.00004033078,0.000052890966],"category_scores_gemma":[0.00014014124,0.00002703086,0.00006461745,0.000054282773,0.0005388425,0.00006666467,0.00004442184,0.00015165142,0.000025330686],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008677751,0.00002429521,0.08403905,0.0000042145434,0.00023044988,0.0000080210675,0.83092093,0.00002779923,0.00001436199,0.032199778,0.0011086217,0.05133568],"study_design_scores_gemma":[0.00091287564,0.000040789386,0.11241624,0.0000340303,0.00006189,0.00003218623,0.69023377,0.00002109749,0.000017376831,0.07399455,0.122020796,0.0002144118],"about_ca_topic_score_codex":0.0006131623,"about_ca_topic_score_gemma":0.006045066,"teacher_disagreement_score":0.1406872,"about_ca_system_score_codex":0.000044965895,"about_ca_system_score_gemma":0.00007830255,"threshold_uncertainty_score":0.69224083},"labels":[],"label_agreement":null},{"id":"W1591236744","doi":"10.1002/j.2325-8012.2001.tb00370.x","title":"2½ Proposals to Save Social Security*","year":2001,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Social security; Equity (law); Disability insurance; Government (linguistics); Universal coverage; Plan (archaeology); Actuarial science; Financial security; Social insurance; Social equality; Economics; Public economics; Business; Finance; Health insurance; Health care; Economic growth; Political science; Law; Market economy","score_opus":0.011844853632903258,"score_gpt":0.22281202270409273,"score_spread":0.21096716907118948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591236744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832242,0.000034692217,0.000042688374,0.0018614882,0.0006791972,0.00016823555,0.00000882141,0.00006046415,0.013920228],"genre_scores_gemma":[0.98774076,0.000006752456,0.00008902295,0.0020994004,0.007834407,0.00000542362,0.000011531044,0.000047671783,0.0021650465],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852383,0.000018089644,0.0005323047,0.0002803113,0.00018450031,0.00046094513],"domain_scores_gemma":[0.9992736,0.000012406094,0.00038044498,0.00016684535,0.00012742815,0.000039258346],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00066506176,0.00021909352,0.00032341722,0.00036903322,0.0005080506,0.000700063,0.00037216712,0.00007952688,0.0054029212],"category_scores_gemma":[0.000052283696,0.00020738854,0.00025531274,0.0002173786,0.000039107366,0.0007657461,0.0001482334,0.00023888804,0.017734833],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028616484,0.00014746889,0.92082113,0.00003958005,0.00011801812,0.00014812559,0.0033249636,0.00020524509,0.00040289678,0.011263018,0.05340253,0.009840873],"study_design_scores_gemma":[0.0018452953,0.000039154478,0.03805169,0.00008781046,0.00028071683,0.000106382984,0.0030326957,0.00329982,0.00003792015,0.048749648,0.9033151,0.0011537502],"about_ca_topic_score_codex":0.00029573194,"about_ca_topic_score_gemma":0.0005752693,"teacher_disagreement_score":0.8827694,"about_ca_system_score_codex":0.00016768578,"about_ca_system_score_gemma":0.000058657177,"threshold_uncertainty_score":0.9955063},"labels":[],"label_agreement":null},{"id":"W1851118843","doi":"10.1002/soej.12021","title":"Economic impact of unauthorized workers","year":2015,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Citation; Economic impact analysis; Library science; Computer science; Economics","score_opus":0.0602548248094859,"score_gpt":0.27505762456435273,"score_spread":0.21480279975486682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851118843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524925,0.0013298274,0.0009051919,0.00026535994,0.0015511127,0.00009542741,0.00028098217,0.000025773028,0.043053877],"genre_scores_gemma":[0.9972065,0.00006559181,0.00039604405,0.000026679458,0.00042114453,0.000004322617,0.000003364315,0.00002965375,0.0018466872],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99851614,0.000022610056,0.0008946409,0.00023456955,0.000022685368,0.00030937028],"domain_scores_gemma":[0.9983344,0.000025995263,0.0011391103,0.0002444769,0.000029744551,0.0002262485],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007785941,0.00017871438,0.0005431742,0.00021796416,0.00009188997,0.000087803855,0.0003077637,0.00007277599,0.0018179865],"category_scores_gemma":[0.00004865488,0.00018105452,0.00039264624,0.000046855588,0.00009001693,0.00022782764,0.000052820495,0.00019188468,0.00687463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016681135,0.0000367996,0.95483714,0.000004986817,0.0005815697,0.000003458829,0.0034266682,0.012240803,0.0000058241976,0.01512376,0.012350628,0.0012215616],"study_design_scores_gemma":[0.015900442,0.0012679311,0.31939065,0.000110477085,0.00007643688,0.0004479698,0.024964208,0.008924837,0.000058242356,0.5526465,0.073896535,0.002315725],"about_ca_topic_score_codex":0.00064548996,"about_ca_topic_score_gemma":0.00006445879,"teacher_disagreement_score":0.6354465,"about_ca_system_score_codex":0.0010724851,"about_ca_system_score_gemma":0.00028667646,"threshold_uncertainty_score":0.9990945},"labels":[],"label_agreement":null},{"id":"W1989607612","doi":"10.4284/0038-4038-2011.215","title":"The CEO Arms Race","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Race (biology); Chief executive officer; Arms race; Officer; Business; Profit (economics); Outcome (game theory); Position (finance); Microeconomics; Labour economics; Economics; Management; Finance; Political science; Political economy; Law; Sociology","score_opus":0.022076407864222256,"score_gpt":0.2030128308561841,"score_spread":0.18093642299196183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989607612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90298134,0.012970641,0.0032475283,0.0035778044,0.007980164,0.00018996105,0.00021940011,0.000052496143,0.06878065],"genre_scores_gemma":[0.9869154,0.0007042299,0.00026794506,0.00026000448,0.00224255,0.000009506319,0.0000023090327,0.000053933334,0.009544126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814254,0.000026725527,0.00084998494,0.00021208728,0.0000180878,0.0007505671],"domain_scores_gemma":[0.9985304,0.000106510925,0.000677054,0.00040160766,0.000012344084,0.0002720906],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023048064,0.00019105506,0.00034354776,0.00008187936,0.00056914776,0.0003152139,0.0005083311,0.00009527497,0.0016876392],"category_scores_gemma":[0.000047159665,0.00016150018,0.00025934807,0.00003103257,0.00012157944,0.00048340898,0.000082265804,0.00036202383,0.015399933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047176916,0.00004662004,0.065007694,0.0000037567988,0.00022655136,0.0000016241887,0.006397203,0.0004085598,0.000006651189,0.9165046,0.0069390223,0.0044104983],"study_design_scores_gemma":[0.00080162537,0.00003546324,0.002191601,0.000006524646,0.000010613115,0.00023858518,0.0047065713,0.00068281,0.000026420093,0.27631223,0.71456367,0.0004238765],"about_ca_topic_score_codex":0.00006029153,"about_ca_topic_score_gemma":0.000015887004,"teacher_disagreement_score":0.7076246,"about_ca_system_score_codex":0.00030595445,"about_ca_system_score_gemma":0.000039200902,"threshold_uncertainty_score":0.99922496},"labels":[],"label_agreement":null},{"id":"W1991175035","doi":"10.1002/j.2325-8012.2006.tb00748.x","title":"An SVAR Model of Fluctuations in U.S. Migration Flows and State Labor Market Dynamics","year":2006,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Labor demand; Structural vector autoregression; Demand shock; Amenity; Vector autoregression; Supply and demand; Labour economics; Dynamics (music); Labor mobility; State (computer science); Macroeconomics; Monetary economics; Monetary policy; Wage","score_opus":0.009428342204406987,"score_gpt":0.1894308452399742,"score_spread":0.1800025030355672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991175035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876296,0.00027554162,0.008244825,0.000928638,0.00009561765,0.00007539073,0.00097282784,0.0000059991503,0.001771542],"genre_scores_gemma":[0.99724156,0.00042979425,0.0014786555,0.0000456723,0.00009484341,0.00000448693,0.000037527436,0.000023251312,0.0006441827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852175,0.000019922141,0.0009804522,0.00025564694,0.000020297593,0.00020194335],"domain_scores_gemma":[0.99909383,0.000023161501,0.0005971107,0.00018093169,0.000027279699,0.000077657205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000647,0.00013614795,0.0003916564,0.00038481876,0.00008324806,0.00011096164,0.00016574074,0.00007024144,0.00024291014],"category_scores_gemma":[0.000009918564,0.00015780001,0.000110555375,0.00006657954,0.00004931038,0.00034325288,0.000019156074,0.0001411898,0.000055496977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005445775,0.000116507865,0.32655218,0.000010266219,0.0000827597,0.0000020772557,0.0008498495,0.5811882,0.00009686249,0.089425184,0.00014715162,0.0014744838],"study_design_scores_gemma":[0.0003895449,0.000022846078,0.024966018,0.000004402628,0.0000058047553,0.0000052900514,0.00018132724,0.7702262,0.000003798839,0.2039134,0.00014389669,0.00013749227],"about_ca_topic_score_codex":0.003944095,"about_ca_topic_score_gemma":0.034360893,"teacher_disagreement_score":0.30158615,"about_ca_system_score_codex":0.00023771272,"about_ca_system_score_gemma":0.00006109666,"threshold_uncertainty_score":0.9832595},"labels":[],"label_agreement":null},{"id":"W1991370512","doi":"10.4284/sej.2009.76.2.513","title":"Optimal Two‐Part Pricing in a Carbon Offset Market: A Comparison of Organizational Types","year":2009,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"","keywords":"Offset (computer science); Counterintuitive; Microeconomics; Profit (economics); Industrial organization; Carbon offset; Constructive; Economics; Pricing strategies; Supply chain; Association (psychology); Business; Marketing; Computer science","score_opus":0.04478333316308271,"score_gpt":0.2604179434789398,"score_spread":0.21563461031585712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991370512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97423565,0.00073581096,0.00008722242,0.00066589576,0.00045157014,0.000095437725,0.00021991692,0.000012476837,0.023496017],"genre_scores_gemma":[0.99846625,0.000117979245,0.0004109131,0.0001483427,0.00046589435,0.0000017886595,0.000013256059,0.000026558482,0.00034899745],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998168,0.000020352853,0.0011926186,0.00025111117,0.000022521052,0.00034539247],"domain_scores_gemma":[0.9988446,0.000044621655,0.0008139541,0.00018129386,0.000019481966,0.00009604176],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007317687,0.00016670773,0.00057415204,0.00037609568,0.00006229856,0.0000692813,0.0002483491,0.000094288436,0.0019191013],"category_scores_gemma":[0.000054338077,0.00020415412,0.0001099392,0.00010615823,0.000041399562,0.00014816702,0.000035408662,0.00025954813,0.00033637372],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019082965,0.00031143666,0.9339781,0.000024412442,0.00013296113,0.000007572252,0.011816881,0.024233904,0.00006245378,0.026829444,0.0010505656,0.0013614835],"study_design_scores_gemma":[0.015285287,0.0010879887,0.14365458,0.00043668586,0.00009246522,0.0005960157,0.015542631,0.5867941,0.0009095643,0.21041122,0.021952117,0.003237393],"about_ca_topic_score_codex":0.00020465326,"about_ca_topic_score_gemma":0.000203877,"teacher_disagreement_score":0.7903235,"about_ca_system_score_codex":0.00034415198,"about_ca_system_score_gemma":0.000058988197,"threshold_uncertainty_score":0.9989933},"labels":[],"label_agreement":null},{"id":"W1997387060","doi":"10.4284/sej.2010.76.3.711","title":"Using Unemployment Rates as Instruments to Estimate Returns to Schooling","year":2010,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Counterintuitive; Quarter (Canadian coin); Economics; Ordinary least squares; Econometrics; Instrumental variable; Unemployment rate; Census; Labour economics; Demographic economics; Demography; Macroeconomics; Geography; Population; Sociology","score_opus":0.07487574006972941,"score_gpt":0.4275521085549936,"score_spread":0.3526763684852642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997387060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98255616,0.000009075608,0.000075975484,0.011481759,0.003167484,0.00010148487,0.000015823303,0.000013058566,0.0025791486],"genre_scores_gemma":[0.9896704,0.0000034398695,0.0046645035,0.0009617201,0.0023726262,0.0000060687616,0.0000014438091,0.000011076193,0.0023087182],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911404,0.000050473,0.00027740176,0.0001396699,0.00013832907,0.00028008613],"domain_scores_gemma":[0.9994181,0.000028843066,0.000095099145,0.00007014921,0.000104746294,0.00028306094],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007972984,0.00008971473,0.00011214719,0.00008688982,0.0009194976,0.00026921713,0.00019672829,0.000039986415,0.0010275741],"category_scores_gemma":[0.0002144688,0.000084518135,0.00005704834,0.000049857743,0.000039361672,0.00015291639,0.00004869169,0.00018866683,0.0017570343],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021130491,0.00024109126,0.39538106,0.000012213243,0.0005867737,0.000010667964,0.3635519,0.029935336,0.024870913,0.1617485,0.014897513,0.0085527105],"study_design_scores_gemma":[0.0018159219,0.00042415285,0.024446744,0.0003522066,0.00015525491,0.00027697877,0.3126529,0.0033048226,0.009751021,0.23177668,0.41234168,0.0027016574],"about_ca_topic_score_codex":0.0019767408,"about_ca_topic_score_gemma":0.007631417,"teacher_disagreement_score":0.39744416,"about_ca_system_score_codex":0.0002829718,"about_ca_system_score_gemma":0.0004524882,"threshold_uncertainty_score":0.9998856},"labels":[],"label_agreement":null},{"id":"W2012376824","doi":"10.1002/j.2325-8012.2003.tb00521.x","title":"Impact of the 1996 Summer Olympic Games on Employment and Wages in Georgia","year":2003,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Quarter (Canadian coin); Demographic economics; Geography; Estimation; Economics","score_opus":0.027015478087815275,"score_gpt":0.30905910860846236,"score_spread":0.28204363052064707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012376824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99280304,0.00022210504,5.160741e-7,0.00022976646,0.00031496634,0.00008896063,0.000008901623,0.0000037345624,0.0063280156],"genre_scores_gemma":[0.9982373,0.00009703662,0.0000052158252,0.00005122522,0.00009919586,8.751156e-7,1.7586541e-7,0.000008564761,0.0015004112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999225,0.00011863417,0.00021042183,0.00008956636,0.000092807095,0.00026357704],"domain_scores_gemma":[0.9995603,0.000041192994,0.00017597195,0.00009828751,0.000009532616,0.000114740804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008296139,0.000084567146,0.0001463099,0.000066052686,0.00015030362,0.000049286893,0.00013571627,0.000049203314,0.00060581014],"category_scores_gemma":[0.00005636171,0.000054746815,0.00011721288,0.00004318741,0.0001227374,0.00008886224,0.000011415742,0.0001441144,0.000036506193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001675011,0.000039106857,0.97924614,8.998113e-7,0.000036728918,0.0000028336983,0.015682664,0.00011808091,0.00004737538,0.0020712074,0.0001800542,0.0025581634],"study_design_scores_gemma":[0.0013805925,0.00014946188,0.9643693,0.000077578916,0.000024449853,0.00003335731,0.008611587,0.000005470766,0.00021581526,0.005118266,0.019814992,0.00019912134],"about_ca_topic_score_codex":0.0019527932,"about_ca_topic_score_gemma":0.0022213985,"teacher_disagreement_score":0.019634938,"about_ca_system_score_codex":0.0003166289,"about_ca_system_score_gemma":0.00047683192,"threshold_uncertainty_score":0.6633196},"labels":[],"label_agreement":null},{"id":"W2038780726","doi":"10.4284/0038-4038-2011.020","title":"Contests for Ranks: Experimental Evidence","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Incentive; Rank (graph theory); Earnings; Prestige; Baseline (sea); Economics; Statistics; Microeconomics; Econometrics; Mathematics; Political science; Accounting; Combinatorics","score_opus":0.11168672708103869,"score_gpt":0.39864443395991755,"score_spread":0.2869577068788789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038780726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98133945,0.007329036,0.000067183544,0.00062146253,0.0026188584,0.00033095258,0.000026226511,0.000037844537,0.007628983],"genre_scores_gemma":[0.9956403,0.00013087469,0.0006713801,0.00015591999,0.0019398236,0.00004928119,7.625465e-7,0.000024758332,0.0013869138],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9987823,0.00008557901,0.00032897934,0.00014630465,0.000076956116,0.00057989074],"domain_scores_gemma":[0.99919903,0.0001723848,0.00021605995,0.00010696222,0.000028871627,0.00027666398],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012421553,0.00013455712,0.00021304532,0.0000484477,0.00085229083,0.00015757358,0.00028770356,0.0000670833,0.00089522277],"category_scores_gemma":[0.0000789463,0.00013717201,0.00017926127,0.000017588573,0.00025085546,0.00082012924,0.000051753428,0.00012405876,0.00085840136],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042825076,0.0005218981,0.45961815,0.000011358441,0.0002982431,0.000004736908,0.4627632,0.00003388429,0.013127833,0.04060036,0.014114763,0.008477335],"study_design_scores_gemma":[0.00476652,0.0005442147,0.003016987,0.00020324047,0.00014149964,0.00015541045,0.8090528,0.00006687801,0.018946836,0.005079402,0.15628184,0.0017443295],"about_ca_topic_score_codex":0.00045666294,"about_ca_topic_score_gemma":0.00023519224,"teacher_disagreement_score":0.45660114,"about_ca_system_score_codex":0.00089835934,"about_ca_system_score_gemma":0.00014214945,"threshold_uncertainty_score":0.99991953},"labels":[],"label_agreement":null},{"id":"W2045075015","doi":"10.4284/0038-4038-78.3.1057","title":"Estimating the Euler Equation for Aggregate Investment with Endogenous Capital Depreciation","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Economics; Euler equations; Investment (military); Capital (architecture); Simultaneous equations model; Aggregate (composite); Fixed capital; Econometrics; Physical capital; Microeconomics; Quadratic equation; Monetary economics; Capital formation; Financial capital; Mathematics; Human capital; Market economy","score_opus":0.0607530791033449,"score_gpt":0.218386152361586,"score_spread":0.1576330732582411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045075015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960758,0.00093246455,0.02086595,0.00084342144,0.0016761823,0.00038255024,0.00021195122,0.000025577936,0.014303912],"genre_scores_gemma":[0.993867,0.0000063779835,0.0029704806,0.00048658697,0.0023583332,0.000052361695,0.000015378659,0.000045616816,0.00019785648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858016,0.000022833678,0.00064759434,0.00020384895,0.000022251148,0.0005233001],"domain_scores_gemma":[0.99866563,0.00011763345,0.00084533327,0.00020779547,0.000015571548,0.00014806502],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012757649,0.00017672911,0.0002720057,0.00010882502,0.0004464314,0.00018108239,0.00022812746,0.0000748272,0.00016996538],"category_scores_gemma":[0.00007982548,0.00014357382,0.00014200107,0.00003309464,0.00006316159,0.0005322486,0.00002839225,0.00019191136,0.0013854469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030485293,0.00030776663,0.37888023,0.0000769301,0.0012549219,0.0000031303966,0.05884146,0.034166954,0.00006652562,0.51315755,0.0021258062,0.010813905],"study_design_scores_gemma":[0.00566778,0.00049183686,0.021839647,0.00006798345,0.00012352194,0.000908961,0.004098629,0.11345319,0.00037171817,0.83607,0.015474822,0.0014319277],"about_ca_topic_score_codex":0.00010619555,"about_ca_topic_score_gemma":0.000025476696,"teacher_disagreement_score":0.35704058,"about_ca_system_score_codex":0.0004174155,"about_ca_system_score_gemma":0.00004399078,"threshold_uncertainty_score":0.9993921},"labels":[],"label_agreement":null},{"id":"W2045630147","doi":"10.4284/sej.2009.76.1.47","title":"Post‐Injury Work Outcomes Revisited","year":2009,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Duration (music); Work (physics); Demographic economics; Instrumental variable; Psychology; Economics; Econometrics; Engineering","score_opus":0.004577970944140407,"score_gpt":0.19446292281314528,"score_spread":0.18988495186900486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045630147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99081594,0.0005293928,0.00055430183,0.00068376586,0.0008496836,0.00005679922,0.00004150796,0.00024661561,0.006221989],"genre_scores_gemma":[0.9980938,0.00007451373,0.0003101088,0.00026154338,0.0004258614,3.8515307e-7,0.0000027585338,0.000026179547,0.0008048589],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992769,0.000014829599,0.00030418925,0.0000931483,0.000046479447,0.00026449937],"domain_scores_gemma":[0.9996447,0.000014754554,0.00005251571,0.00015064786,0.000011852521,0.00012552652],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016620607,0.00014457217,0.00021011179,0.00007348514,0.000087553264,0.00006441369,0.00017593215,0.00007227461,0.00061467686],"category_scores_gemma":[0.0000057486764,0.00012134727,0.00015427633,0.000033039112,0.000013275525,0.00009802709,0.0000074589007,0.0003023983,0.0020707883],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002632048,0.00011224543,0.14463824,0.000029035695,0.00092832936,0.00013034437,0.0071314727,0.10758409,0.00070914126,0.0017001156,0.041821092,0.6949527],"study_design_scores_gemma":[0.004071998,0.00036111142,0.8773037,0.00026581006,0.00019523718,0.000837222,0.0033645218,0.005243403,0.00019346281,0.0053157043,0.10043541,0.0024124158],"about_ca_topic_score_codex":0.0000011086743,"about_ca_topic_score_gemma":0.0000013075446,"teacher_disagreement_score":0.7326655,"about_ca_system_score_codex":0.00011464371,"about_ca_system_score_gemma":0.000021069562,"threshold_uncertainty_score":0.9987062},"labels":[],"label_agreement":null},{"id":"W2046802140","doi":"10.4284/sej.2009.76.2.458","title":"Persistence in U.S. State Unemployment Rates","year":2009,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Odds; Economics; Allowance (engineering); Hysteresis; Unemployment; Unit root; Persistence (discontinuity); Econometrics; Multivariate statistics; Statistics; Mathematics; Macroeconomics; Operations management; Physics; Engineering","score_opus":0.07155076720335235,"score_gpt":0.2336557500273308,"score_spread":0.16210498282397845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046802140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98478526,0.0012457364,0.00015126361,0.00235925,0.0005178321,0.00011222344,0.0001456313,0.000020219064,0.010662594],"genre_scores_gemma":[0.9962135,0.00029744842,0.00022317415,0.00088785315,0.00026739956,0.0000024533228,0.0000041104868,0.000021806938,0.00208226],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99802434,0.00002348216,0.0010006318,0.0003424693,0.000018214942,0.0005908518],"domain_scores_gemma":[0.9990267,0.000025123087,0.00048398285,0.00025929138,0.0000044034623,0.00020050703],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009388204,0.00021277004,0.0004682842,0.00034222647,0.00012078686,0.00018636043,0.0003500164,0.000074093485,0.001995373],"category_scores_gemma":[0.000023411709,0.00024198997,0.00019857405,0.00005630023,0.00004647562,0.0004077971,0.000022237726,0.00033484932,0.006458054],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003194901,0.00040146784,0.82183015,0.000019350922,0.00032614626,0.00013385041,0.02119365,0.11007979,0.000072271236,0.018159175,0.0058969418,0.021567728],"study_design_scores_gemma":[0.006145422,0.00075755036,0.29621422,0.00009157896,0.00001740296,0.00067472394,0.003140683,0.055625685,0.00015517272,0.58946496,0.04574422,0.0019683787],"about_ca_topic_score_codex":0.0003335506,"about_ca_topic_score_gemma":0.000099309094,"teacher_disagreement_score":0.5713058,"about_ca_system_score_codex":0.000495889,"about_ca_system_score_gemma":0.00003835834,"threshold_uncertainty_score":0.9989169},"labels":[],"label_agreement":null},{"id":"W2048080363","doi":"10.4284/0038-4038-78.3.e1","title":"Persistence in U.S. State Unemployment Rates: Errata and Extensions","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Unemployment; Unit root; Hysteresis; Odds; Economics; Persistence (discontinuity); Econometrics; Mean reversion; State (computer science); Unemployment rate; Series (stratigraphy); Path (computing); Mathematics; Statistics; Macroeconomics; Computer science; Geology; Physics; Logistic regression","score_opus":0.11205499855884184,"score_gpt":0.24561456310716923,"score_spread":0.1335595645483274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048080363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990385,0.004217776,0.00010701622,0.00083403406,0.00076185743,0.00011017686,0.00022000114,0.000012523869,0.0033515927],"genre_scores_gemma":[0.9969711,0.00066785736,0.00024961127,0.00042701198,0.00032071484,0.000005062431,0.0000041673134,0.00003101232,0.001323488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821115,0.000029633738,0.0008007492,0.0002687335,0.000015690008,0.00067407306],"domain_scores_gemma":[0.99898237,0.000043328822,0.00038982366,0.00024285752,0.000004016684,0.0003376065],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012378887,0.00019807124,0.00041917004,0.00027663002,0.00015763061,0.000129214,0.00019619151,0.00007326832,0.0014188627],"category_scores_gemma":[0.000034980927,0.00021660933,0.00011156125,0.00004228954,0.00008328566,0.0006380904,0.0000664513,0.00031216556,0.003127953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004232838,0.00008475501,0.9806152,0.000010259533,0.00010745026,0.000007903681,0.0105719585,0.0026357963,0.000013214956,0.0030130392,0.0013595182,0.0015385805],"study_design_scores_gemma":[0.0059561688,0.00031389706,0.7643034,0.00012676326,0.000041956726,0.0016678998,0.012622621,0.03881327,0.00006473927,0.09034404,0.08347009,0.0022751456],"about_ca_topic_score_codex":0.0005311556,"about_ca_topic_score_gemma":0.000119782715,"teacher_disagreement_score":0.21631178,"about_ca_system_score_codex":0.00028545313,"about_ca_system_score_gemma":0.000026225463,"threshold_uncertainty_score":0.99949396},"labels":[],"label_agreement":null},{"id":"W2050996731","doi":"10.2307/1061562","title":"Detrending and the Money-Output Link: International Evidence","year":2002,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Link (geometry); Economics; Monetary economics; Keynesian economics; Macroeconomics; Computer science","score_opus":0.1117117516991921,"score_gpt":0.23069616870553197,"score_spread":0.11898441700633987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050996731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92403847,0.013612065,0.0009549858,0.023132663,0.0028492848,0.00018388756,0.00018798861,0.00003781254,0.035002824],"genre_scores_gemma":[0.9884227,0.0030020762,0.00019713695,0.00073502504,0.0015306387,0.000005641054,0.0000014051043,0.000027422624,0.0060779443],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984598,0.000036822832,0.0008050169,0.00030131618,0.000025740517,0.00037131595],"domain_scores_gemma":[0.99878544,0.00018577137,0.0005984839,0.00026414217,0.000006259524,0.00015990225],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013810112,0.00018546988,0.00037681707,0.00021044344,0.00031341764,0.0004351086,0.00048566575,0.00008468854,0.0058750547],"category_scores_gemma":[0.00015669313,0.00015960509,0.00020087391,0.000032511492,0.00019218534,0.0005958246,0.000092497976,0.0003842528,0.0064551444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007686477,0.00016192434,0.51327163,0.000051985906,0.0029547252,0.000080458834,0.059212025,0.019807274,0.000017094195,0.21431106,0.0440043,0.14535885],"study_design_scores_gemma":[0.0094165215,0.0001495305,0.019263383,0.00014327106,0.000071419934,0.002291113,0.002410565,0.58519673,0.000012614728,0.16934533,0.2103471,0.001352423],"about_ca_topic_score_codex":0.0003213213,"about_ca_topic_score_gemma":0.000024917423,"teacher_disagreement_score":0.56538945,"about_ca_system_score_codex":0.00020174752,"about_ca_system_score_gemma":0.000007690022,"threshold_uncertainty_score":0.9950337},"labels":[],"label_agreement":null},{"id":"W2054588692","doi":"10.4284/0038-4038-2012.137","title":"Waiting for Signaling Quality","year":2013,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pooling; Quality (philosophy); Signalling; Incentive; Microeconomics; Product (mathematics); Signaling game; Business; Economics; Industrial organization; Computer science; Mathematics; Artificial intelligence","score_opus":0.19837652386697247,"score_gpt":0.4210058320344304,"score_spread":0.22262930816745796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054588692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765153,0.000020613832,0.018497694,0.0014578352,0.0002270069,0.0001645843,0.000032443695,0.000015727577,0.0030688248],"genre_scores_gemma":[0.99490315,5.818114e-7,0.0013776441,0.00019284386,0.00053446466,0.000024159852,7.7911403e-7,0.000010286361,0.0029560856],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986244,0.00012728294,0.00070612034,0.00019259355,0.00012767522,0.00022193241],"domain_scores_gemma":[0.9978502,0.0012003278,0.0004609326,0.00023881203,0.00012194362,0.00012780685],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0047127632,0.00007774968,0.0001742849,0.00007062748,0.0003720004,0.00054342387,0.00052384665,0.000038070808,0.005147708],"category_scores_gemma":[0.0005174875,0.0000581622,0.00017547706,0.000041406118,0.000052284104,0.00025600064,0.000033806795,0.00013319573,0.008973494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011143577,0.00014077498,0.035150733,0.000010705947,0.00020992778,0.0000016510838,0.016843425,0.012416844,0.033544693,0.25254065,0.020897472,0.6281317],"study_design_scores_gemma":[0.00035263068,0.00001587935,0.00075755833,0.0000047216804,0.000005850859,0.000031306576,0.016490102,0.004644423,0.000568033,0.9675436,0.009454988,0.00013088169],"about_ca_topic_score_codex":0.000021567943,"about_ca_topic_score_gemma":0.000007011091,"teacher_disagreement_score":0.71500295,"about_ca_system_score_codex":0.00003401239,"about_ca_system_score_gemma":0.000059974904,"threshold_uncertainty_score":0.9957617},"labels":[],"label_agreement":null},{"id":"W2068395027","doi":"10.4284/0038-4038-78.4.1305","title":"Environmental Depletion, Governance, and Conflict","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Endogeneity; Corporate governance; Language change; Civil Conflict; Economics; Politics; Government (linguistics); Resource (disambiguation); Panel data; Public economics; Environmental quality; Resource depletion; Civil society; Quality (philosophy); Variety (cybernetics); Natural resource; Environmental governance; Political science; Ecology; Econometrics","score_opus":0.015267822491737705,"score_gpt":0.18116378006955383,"score_spread":0.16589595757781614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068395027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97557676,0.01097673,0.000113961774,0.00034833825,0.0011299318,0.00008208152,0.00019261272,0.000014885849,0.011564691],"genre_scores_gemma":[0.99392503,0.0014995645,0.00034913362,0.000314322,0.00068556017,0.0000045052116,0.0000050939047,0.00003165121,0.0031851425],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986639,0.0000103982875,0.00061035104,0.00022147382,0.000022014732,0.00047183383],"domain_scores_gemma":[0.9990788,0.00002259042,0.00046973064,0.0001443164,0.0000022099387,0.00028235803],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00066018384,0.00017209857,0.0003048161,0.00007396542,0.00019217456,0.0001250818,0.00016884078,0.000087884364,0.0042322753],"category_scores_gemma":[0.000013994053,0.00018466776,0.00010573618,0.00001691588,0.000069371315,0.00038149528,0.00007487167,0.00023658734,0.0059942617],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023539615,0.000043722626,0.96534747,0.0000052293094,0.00013635028,0.0000024193885,0.0029050782,0.000021355114,0.00001631607,0.02112119,0.0027906897,0.007586628],"study_design_scores_gemma":[0.00089900877,0.000027011649,0.23023921,0.000007598705,0.000006985027,0.0003577286,0.0009797802,0.00019108522,0.000015313724,0.0045060026,0.7623861,0.00038417702],"about_ca_topic_score_codex":0.00004189193,"about_ca_topic_score_gemma":0.0000049396085,"teacher_disagreement_score":0.7595954,"about_ca_system_score_codex":0.00036469803,"about_ca_system_score_gemma":0.00001367787,"threshold_uncertainty_score":0.996678},"labels":[],"label_agreement":null},{"id":"W2103448616","doi":"10.4284/0038-4038-78.3.878","title":"Nosy Preferences, Benevolence, and Efficiency","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Impossibility; Externality; Consumption (sociology); Economics; Microeconomics; Preference; Social preferences; Intervention (counseling); Revealed preference; Dynamic inconsistency; Mathematical economics; Positive economics; Public economics; Psychology; Sociology","score_opus":0.1050548393513444,"score_gpt":0.3656873631541224,"score_spread":0.260632523802778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103448616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99058396,0.00065654906,0.0005856932,0.00016448632,0.0020813972,0.000063453175,0.00004276548,0.00001939502,0.0058022966],"genre_scores_gemma":[0.9978958,0.000057186906,0.0006252982,0.00009791608,0.00062666816,0.0000016287411,6.112132e-7,0.000016044452,0.00067887374],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791336,0.00011036152,0.0008595927,0.0003294921,0.0002937409,0.0004934482],"domain_scores_gemma":[0.99820685,0.00041119408,0.0005100483,0.00038374634,0.000068030386,0.00042013358],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003794961,0.0001816527,0.00033177214,0.0002779267,0.00034070632,0.00071141525,0.00074761023,0.0001041247,0.0023578696],"category_scores_gemma":[0.00031120837,0.00012999975,0.00013958242,0.000095971314,0.00014138763,0.0007444786,0.00016486805,0.0003049109,0.005599245],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002086701,0.00005993104,0.20224248,6.2253827e-7,0.0000116137435,0.0000028956015,0.0019064941,0.00015567253,0.00003350573,0.00032808757,0.0016211887,0.79361665],"study_design_scores_gemma":[0.0025467507,0.00044613265,0.103860885,0.000114268856,0.000117056,0.0032710203,0.03070884,0.0042825677,0.00018882674,0.687676,0.16505842,0.0017292341],"about_ca_topic_score_codex":0.00002395053,"about_ca_topic_score_gemma":0.00003166172,"teacher_disagreement_score":0.7918874,"about_ca_system_score_codex":0.000104211606,"about_ca_system_score_gemma":0.00012767769,"threshold_uncertainty_score":0.9985541},"labels":[],"label_agreement":null},{"id":"W2112915996","doi":"10.4284/0038-4038-2012.038","title":"Shipping the Good Horses Out","year":2013,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Endowment; Quality (philosophy); Consumption (sociology); Economics; Microeconomics; Unit (ring theory); Commerce","score_opus":0.05925818032190272,"score_gpt":0.20198734639986946,"score_spread":0.14272916607796673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112915996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8835954,0.0016451017,0.0004825188,0.005463272,0.002712485,0.000241569,0.00013110736,0.000045928733,0.1056826],"genre_scores_gemma":[0.99319726,0.00021290459,0.0002136712,0.0009926418,0.0010786897,0.00001771516,0.0000031793722,0.000044600307,0.0042393454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981799,0.000023088978,0.0009068213,0.0003131252,0.000021230571,0.00055580906],"domain_scores_gemma":[0.9987547,0.00005444575,0.000599636,0.00038512482,0.000017329983,0.00018880144],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007393347,0.00021746052,0.00038538827,0.0001188913,0.00037114226,0.0006746963,0.0006776989,0.00011235118,0.0063186423],"category_scores_gemma":[0.000037968457,0.00018912193,0.00028986114,0.000038077585,0.00009747239,0.00052855717,0.00007878517,0.00042432707,0.06999897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003950922,0.00020032132,0.43642548,0.0000319185,0.0012691676,0.000020228494,0.015288138,0.0033992624,0.00007226844,0.4709997,0.056622803,0.015631234],"study_design_scores_gemma":[0.0017003171,0.00012180689,0.024789428,0.00003138773,0.00002806998,0.00043486909,0.010029163,0.004339266,0.000048252343,0.56282085,0.3945666,0.0010900287],"about_ca_topic_score_codex":0.00035273688,"about_ca_topic_score_gemma":0.00009328735,"teacher_disagreement_score":0.41163605,"about_ca_system_score_codex":0.0002635,"about_ca_system_score_gemma":0.00004277876,"threshold_uncertainty_score":0.99458975},"labels":[],"label_agreement":null},{"id":"W2121617061","doi":"10.4284/sej.2009.76.1.165","title":"Reexamination of Real Business Cycles in a Small Open Economy","year":2009,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Business cycle; Counterfactual thinking; Economics; Shock (circulatory); Investment (military); Small open economy; Capital (architecture); Overlapping generations model; Variable (mathematics); Monetary economics; Macroeconomics; Microeconomics; Econometrics; Monetary policy","score_opus":0.08054230021659045,"score_gpt":0.24534329274371675,"score_spread":0.1648009925271263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121617061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92599326,0.00025449155,0.00023396463,0.0010627763,0.00026670902,0.00020892364,0.00012912444,0.000010061546,0.07184069],"genre_scores_gemma":[0.9978976,0.000258481,0.00052087393,0.00024049665,0.00028846937,0.0000045785687,0.000012465503,0.000024409403,0.0007525932],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978235,0.000033827233,0.0013809337,0.0003451835,0.0000075015114,0.00040906057],"domain_scores_gemma":[0.9984101,0.000041813822,0.0010768557,0.00032659003,0.000014868999,0.00012974716],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014745524,0.00020429112,0.00067968905,0.00048504246,0.00008743764,0.00021950551,0.0007287854,0.00012948373,0.00095921446],"category_scores_gemma":[0.00004246284,0.00024305379,0.00013277169,0.000094778414,0.000052436735,0.0007310647,0.000068496054,0.00023823536,0.0008304677],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057627534,0.00066330336,0.5907359,0.00006662299,0.00034092524,0.00004698054,0.011195153,0.044582676,0.00008774275,0.30516788,0.0016926947,0.044843815],"study_design_scores_gemma":[0.0034762786,0.00021308068,0.3922995,0.00006729154,0.000011344642,0.00015454489,0.0009798325,0.011285189,0.000049237227,0.5869,0.0039323648,0.0006313289],"about_ca_topic_score_codex":0.0038246503,"about_ca_topic_score_gemma":0.00090752274,"teacher_disagreement_score":0.28173214,"about_ca_system_score_codex":0.0003737229,"about_ca_system_score_gemma":0.00007993407,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W2142263241","doi":"10.4284/0038-4038-78.3.999","title":"Did the Recent Housing Boom Signal the Global Financial Crisis?","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Boom; Financial crisis; Economics; Probit model; Recession; Probit; Logit; Econometrics; Vector autoregression; Macroeconomics; Engineering","score_opus":0.02746015894485858,"score_gpt":0.21648070198815275,"score_spread":0.1890205430432942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142263241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88768154,0.0055772434,0.003592388,0.018720247,0.00920906,0.00037333195,0.0003718745,0.00007720397,0.07439711],"genre_scores_gemma":[0.99285454,0.000815844,0.00015709655,0.0019572303,0.00400554,0.000008827618,0.0000038532417,0.00005040454,0.00014669469],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767745,0.00007872091,0.0010041433,0.0002958159,0.00004225172,0.0009016289],"domain_scores_gemma":[0.9983714,0.00008482782,0.0008284785,0.0004569907,0.000023294859,0.00023496278],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029617336,0.00028347698,0.00042959632,0.00007341377,0.0009715171,0.0005413405,0.0007501008,0.00015011239,0.002561475],"category_scores_gemma":[0.00007756805,0.00021097611,0.000339046,0.0001038719,0.00015023538,0.00047592132,0.00014817159,0.0005611816,0.005025087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034556814,0.00033654648,0.6967188,0.000020106803,0.00069920137,0.0000142026365,0.01319813,0.0034769957,0.000005050203,0.14032033,0.08283754,0.062027525],"study_design_scores_gemma":[0.001129191,0.00005898513,0.015458915,0.000015564961,0.00005971967,0.00036236882,0.0035167122,0.001567039,0.000013101623,0.105588704,0.87149185,0.0007378257],"about_ca_topic_score_codex":0.00019588704,"about_ca_topic_score_gemma":0.00015728002,"teacher_disagreement_score":0.7886543,"about_ca_system_score_codex":0.00087055354,"about_ca_system_score_gemma":0.00013750639,"threshold_uncertainty_score":0.9983503},"labels":[],"label_agreement":null},{"id":"W2154863787","doi":"10.4284/0038-4038-2012.067","title":"Emotions, Sanctions, and Cooperation","year":2013,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Sanctions; Social dilemma; Valence (chemistry); Punishment (psychology); Dilemma; Social psychology; Emotional valence; Norm (philosophy); Psychology; Skin conductance; Economics; Microeconomics; Political science; Law","score_opus":0.019344919218007656,"score_gpt":0.2853273479568009,"score_spread":0.2659824287387933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154863787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815751,0.0003149579,0.000040223724,0.002725286,0.00058580487,0.00012617608,0.0000066438974,0.000023915602,0.014601945],"genre_scores_gemma":[0.99658406,0.0003533185,0.00030222436,0.00012015828,0.00040610373,0.000011595691,0.0000010149769,0.000008702562,0.0022128385],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99945796,0.000056769146,0.00018639557,0.00010015357,0.00003148658,0.00016725219],"domain_scores_gemma":[0.99970603,0.000017932558,0.000085233674,0.00005330467,0.000028666027,0.00010880558],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00025370918,0.00006379264,0.00009154204,0.000043582608,0.0009410822,0.00031210043,0.00007471094,0.000040162657,0.0023254412],"category_scores_gemma":[0.000014421319,0.00006436729,0.000033749653,0.00001577062,0.00016237533,0.0004243798,0.000024009272,0.00010254538,0.0019992553],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026818096,0.00022758625,0.5621232,0.000007509405,0.00029388035,0.0000064912047,0.18666968,0.00025153393,0.004173985,0.09768593,0.045939703,0.10259372],"study_design_scores_gemma":[0.0031975152,0.00025466149,0.07570662,0.00006472646,0.000106939144,0.00027087663,0.7246914,0.00076052075,0.00035782062,0.057034172,0.13597666,0.0015781054],"about_ca_topic_score_codex":0.0022484981,"about_ca_topic_score_gemma":0.0010008898,"teacher_disagreement_score":0.5380217,"about_ca_system_score_codex":0.0002546977,"about_ca_system_score_gemma":0.00007711332,"threshold_uncertainty_score":0.9987778},"labels":[],"label_agreement":null},{"id":"W2171808061","doi":"10.4284/0038-4038-2011.207","title":"Patentability and Knowledge Spillovers of Basic R&amp;D","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Patentability; Profit (economics); Economics; Welfare; Basic research; Industrial organization; Microeconomics; Patent law; Computer science; Market economy; Intellectual property; Law; Political science","score_opus":0.04729276981813236,"score_gpt":0.22845813780571475,"score_spread":0.1811653679875824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171808061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97506666,0.004868158,0.00023521036,0.00016515622,0.0014696224,0.000093308714,0.00022101811,0.000011492851,0.017869353],"genre_scores_gemma":[0.99821526,0.00017055767,0.00029152288,0.000037014328,0.0006099004,0.0000025314246,0.00000314471,0.00002459941,0.0006454727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985313,0.00003704415,0.0007519865,0.0002596119,0.000012522544,0.00040756425],"domain_scores_gemma":[0.99879676,0.000058137586,0.00059202086,0.00028612092,0.000015594504,0.00025135677],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020048488,0.0001633469,0.00046067557,0.00015853085,0.00010683668,0.000043867083,0.00017308927,0.00009065697,0.0015655895],"category_scores_gemma":[0.000076714605,0.00018155471,0.00016051615,0.00004008794,0.0001420259,0.0004682782,0.00007287002,0.00023567349,0.002241878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026820859,0.000085612024,0.97926027,0.000025327596,0.0000777397,1.4636456e-7,0.0031479376,0.000008251401,0.000036452544,0.014640445,0.0003433484,0.0023476784],"study_design_scores_gemma":[0.0038374462,0.00019819401,0.629037,0.00004256076,0.0000611671,0.0004337561,0.0036352589,0.00031318658,0.0004934272,0.17212527,0.18843524,0.0013874539],"about_ca_topic_score_codex":0.00015770602,"about_ca_topic_score_gemma":0.000053592175,"teacher_disagreement_score":0.3502232,"about_ca_system_score_codex":0.0001842568,"about_ca_system_score_gemma":0.00004504312,"threshold_uncertainty_score":0.9993471},"labels":[],"label_agreement":null},{"id":"W2538069817","doi":"10.1002/soej.12150","title":"Evaluating Workplace Mandates with Flows Versus Stocks: An Application to California Paid Family Leave","year":2016,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Workforce; Quarter (Canadian coin); Demographic economics; Labour economics; Economics; Business; Finance; Economic growth; Geography","score_opus":0.035369645155830486,"score_gpt":0.3119097286042717,"score_spread":0.2765400834484412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538069817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737947,0.000048152477,0.022335544,0.00065458054,0.00050384394,0.00026371607,0.00010623998,0.000049622377,0.0022436248],"genre_scores_gemma":[0.9941691,0.000048914233,0.0037480667,0.0001630322,0.0010660827,0.000021120792,0.000004936998,0.000034859397,0.0007438571],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99856704,0.00019230395,0.00028848316,0.0002884031,0.00021660594,0.0004471679],"domain_scores_gemma":[0.9990276,0.00011408193,0.00020770752,0.00022241069,0.000098499535,0.0003297156],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015622312,0.00015217696,0.00017398309,0.0000776108,0.0006391615,0.0001877905,0.00036902132,0.00009164455,0.00017114046],"category_scores_gemma":[0.000053708718,0.00010906303,0.00005561697,0.00007579693,0.00008780671,0.00024719525,0.000029490031,0.0001502403,0.0012003456],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028429923,0.00022139706,0.4161163,0.000015933883,0.0005229851,0.00001659379,0.1662145,0.02450853,0.0064036166,0.004598455,0.0012309763,0.37730774],"study_design_scores_gemma":[0.01625789,0.0029249263,0.04196574,0.00033799303,0.00037182798,0.00006292729,0.8361517,0.016291024,0.00006743944,0.02316643,0.059423614,0.00297846],"about_ca_topic_score_codex":0.0005121541,"about_ca_topic_score_gemma":0.0070638056,"teacher_disagreement_score":0.66993725,"about_ca_system_score_codex":0.0005478357,"about_ca_system_score_gemma":0.00044861675,"threshold_uncertainty_score":0.99957734},"labels":[],"label_agreement":null},{"id":"W2558622122","doi":"10.1002/soej.12248","title":"Whence the Beef: The Effect of Repealing Mandatory Country of Origin Labeling (COOL) Using a Vertically Integrated Armington Model with Monte Carlo Simulation","year":2017,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Repeal; Economics; Monte Carlo method; Econometrics; Elasticity of substitution; Market share; International trade; Microeconomics; Production (economics); Mathematics","score_opus":0.05435604973704,"score_gpt":0.2546829685019339,"score_spread":0.2003269187648939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558622122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941399,0.00052618963,0.0041275756,0.00009031364,0.0002878245,0.00018208471,0.00019823197,0.000007459993,0.00044038444],"genre_scores_gemma":[0.9992148,0.00007361085,0.0004548279,0.00003976632,0.00012520795,0.0000026139517,0.0000012268325,0.000030304063,0.000057622045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849814,0.00003739681,0.00088599336,0.00024841394,0.000041232553,0.0002888279],"domain_scores_gemma":[0.9975674,0.00013476418,0.0016006174,0.0005853398,0.00004520555,0.000066642104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016665591,0.00019456664,0.00049709145,0.000075093805,0.0005113222,0.00021999578,0.0006786803,0.00009475994,0.000034328317],"category_scores_gemma":[0.000110101806,0.00013068045,0.00015258833,0.000032767177,0.00023974455,0.0003657258,0.00006706953,0.0003556695,0.00002690695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002467647,0.000010480458,0.10160039,0.000021344826,0.00017408728,0.0000017194659,0.0008854431,0.89549637,0.00006184666,0.0011593462,0.000008410355,0.00033377614],"study_design_scores_gemma":[0.0009973987,0.0001168356,0.0014250707,0.00010373259,0.00006177802,0.00002634117,0.0005159615,0.99465686,0.00011868467,0.0015146481,0.00028702008,0.00017565695],"about_ca_topic_score_codex":0.0010172194,"about_ca_topic_score_gemma":0.00020021036,"teacher_disagreement_score":0.10017533,"about_ca_system_score_codex":0.00023173405,"about_ca_system_score_gemma":0.00010363511,"threshold_uncertainty_score":0.5328994},"labels":[],"label_agreement":null},{"id":"W2767831657","doi":"10.1002/soej.12453","title":"Validity and reliability of contingent valuation and life satisfaction measures of welfare: An application to the value of national Olympic success","year":2020,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Nonmarket forces; Contingent valuation; Willingness to pay; Valuation (finance); Welfare; Reliability (semiconductor); Economics; Value (mathematics); Econometrics; Actuarial science; Statistics; Mathematics; Microeconomics","score_opus":0.0906307244733149,"score_gpt":0.24056018970028864,"score_spread":0.14992946522697376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767831657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879962,0.00013894874,0.008456948,0.002771905,0.0000843229,0.00026323332,0.00016797926,0.0000034172324,0.00011701973],"genre_scores_gemma":[0.99935865,0.000077535704,0.00033902138,0.00010672589,0.00008790679,0.000010268667,0.000006852899,0.000010046704,0.0000029590567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998796,0.00006382307,0.00079163833,0.00021177737,0.00005385712,0.00008291308],"domain_scores_gemma":[0.9988048,0.00004719376,0.0008898223,0.0001161714,0.000042880154,0.00009913558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016564163,0.00008658726,0.0002715763,0.000061702405,0.00008384708,0.000024805538,0.00010557239,0.00005292461,0.00011610285],"category_scores_gemma":[0.00015382982,0.00008457728,0.000054525295,0.000035824425,0.000081470724,0.00024286362,0.000037312726,0.000080702004,0.00002025125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032206302,0.00002213524,0.97459716,0.000022937596,0.000026284959,9.293768e-9,0.0022598365,0.015320723,0.0002524553,0.0052907094,0.00001537457,0.0021601557],"study_design_scores_gemma":[0.00045543854,0.00011816721,0.966452,0.000004409432,0.000014101647,0.0000022407564,0.0009583876,0.019098435,0.00023803936,0.012433557,0.0001379834,0.000087251676],"about_ca_topic_score_codex":0.00056363834,"about_ca_topic_score_gemma":0.000046526362,"teacher_disagreement_score":0.011362457,"about_ca_system_score_codex":0.00010616808,"about_ca_system_score_gemma":0.000033597833,"threshold_uncertainty_score":0.34489614},"labels":[],"label_agreement":null},{"id":"W2793002778","doi":"10.1002/soej.12260","title":"Surface Coal Mining and Human Health: Evidence from West Virginia","year":2018,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Centers for Disease Control and Prevention; Pontificia Universidad Javeriana","keywords":"Coal mining; Surface mining; West virginia; Externality; Quarter (Canadian coin); Coal; Panel data; Mining engineering; Environmental health; Demographic economics; Geography; Econometrics; Economics; Medicine; Engineering; Archaeology","score_opus":0.053833687441922184,"score_gpt":0.3441877482605765,"score_spread":0.29035406081865434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793002778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915256,0.002368394,0.000029942097,0.0036478564,0.00055450166,0.000070461334,0.00003313948,0.000016739905,0.0017533578],"genre_scores_gemma":[0.9943799,0.0017599347,0.0004940199,0.00082753133,0.0018100113,7.554026e-7,0.0000011508017,0.00001260987,0.0007140853],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99890256,0.00016512923,0.00029078982,0.00016802027,0.00010468122,0.0003688093],"domain_scores_gemma":[0.99924123,0.00014846845,0.00022027899,0.000087734,0.000009128623,0.0002931382],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009860253,0.0000876828,0.00016509005,0.000023364144,0.001652831,0.00018607294,0.00017726811,0.00006140828,0.0020505567],"category_scores_gemma":[0.000025731479,0.00009123784,0.000032054395,0.00001388308,0.0005358298,0.00030197587,0.000042950844,0.00015455262,0.0006092025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032206302,0.000021926486,0.78346825,0.000024237248,0.000030645657,0.0000051403686,0.21084733,0.00001841688,0.00009007146,0.00059205585,0.0025811756,0.0022885313],"study_design_scores_gemma":[0.0008339108,0.00038992544,0.41336772,0.00083040853,0.000045187993,0.000025431289,0.55468076,0.00007957219,0.000024909974,0.0017584616,0.027521402,0.00044230546],"about_ca_topic_score_codex":0.012742312,"about_ca_topic_score_gemma":0.06241189,"teacher_disagreement_score":0.37010053,"about_ca_system_score_codex":0.000279831,"about_ca_system_score_gemma":0.00024543353,"threshold_uncertainty_score":0.9996469},"labels":[],"label_agreement":null},{"id":"W2887022222","doi":"10.1002/soej.12281","title":"Requiring Versus Recommending Preparation Before Class: Does It Matter?","year":2018,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quartile; Class (philosophy); Mathematics education; Quarter (Canadian coin); Psychology; Standard deviation; Medical education; Graduate students; Computer science; Medicine; Pedagogy; Mathematics; Statistics; Artificial intelligence; Geography","score_opus":0.05738581836258335,"score_gpt":0.4224892830184819,"score_spread":0.36510346465589855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887022222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8059223,0.000011825515,0.0015342553,0.016508032,0.017199708,0.00013387433,0.000013626959,0.000039958675,0.1586364],"genre_scores_gemma":[0.9609493,0.000008512976,0.018120848,0.00053386687,0.012631424,0.000010239638,0.00000405398,0.000025189067,0.00771658],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988162,0.0002287669,0.0003787651,0.00016403336,0.000117522315,0.00029472966],"domain_scores_gemma":[0.9991772,0.0001440473,0.00032463094,0.00014728006,0.00012900279,0.00007783911],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024725532,0.00008881147,0.00010619005,0.00014637776,0.0012403049,0.0002807602,0.00029329187,0.00008305241,0.0053702053],"category_scores_gemma":[0.00023843505,0.0000803123,0.000058556045,0.00009778379,0.0002344565,0.00048537392,0.00003184063,0.00020330108,0.002347392],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048296354,0.00012096521,0.0865469,0.000014015986,0.00040143414,0.0000031949005,0.5426875,0.0002447352,0.0002571058,0.20160955,0.066845864,0.100785784],"study_design_scores_gemma":[0.00114269,0.00020894289,0.0020208447,0.0000916574,0.000046819307,0.000037343718,0.23805793,0.00040100003,0.00025917304,0.11166095,0.64558715,0.0004855076],"about_ca_topic_score_codex":0.00013672789,"about_ca_topic_score_gemma":0.0021974284,"teacher_disagreement_score":0.57874125,"about_ca_system_score_codex":0.00096703874,"about_ca_system_score_gemma":0.00039026022,"threshold_uncertainty_score":0.9984294},"labels":[],"label_agreement":null},{"id":"W2905467625","doi":"10.1002/soej.12313","title":"Job Security and Risk‐Taking: Theory and Evidence From Professional Football","year":2018,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Job security; Football; League; Coaching; Business; Actuarial science; Economics; Work (physics); Political science; Management; Engineering; Law","score_opus":0.037445775347102764,"score_gpt":0.34516806042270365,"score_spread":0.3077222850756009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905467625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993551,0.0021974302,0.000010718599,0.000421896,0.00096054684,0.000112095724,0.00004160271,0.000020247715,0.0026844214],"genre_scores_gemma":[0.9969746,0.0011528028,0.00027931615,0.000076803844,0.0011101189,0.0000043482414,3.1113893e-7,0.000013577962,0.00038810476],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99875146,0.00038799614,0.00025736835,0.0002541458,0.00007531998,0.000273719],"domain_scores_gemma":[0.99888986,0.00031264973,0.00048024015,0.00010000845,0.00003297271,0.00018426002],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018410287,0.00012617632,0.000189931,0.000039958755,0.0013136078,0.00021094402,0.00020002679,0.00008626837,0.00082354544],"category_scores_gemma":[0.00022081548,0.00011558482,0.000048500537,0.000016929389,0.0009372249,0.00035382778,0.00016797747,0.00021109449,0.00019987173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106348896,0.000014566007,0.8296175,0.0000014028012,0.00006627696,0.0000025558022,0.1631699,2.5341112e-7,0.00023597,0.0033248244,0.00017377056,0.0032866164],"study_design_scores_gemma":[0.0015297172,0.00029094637,0.24146153,0.00033492752,0.00016586154,0.000049848506,0.3902563,0.00012620825,0.00048149878,0.36161882,0.00284178,0.00084259064],"about_ca_topic_score_codex":0.004226827,"about_ca_topic_score_gemma":0.0077432925,"teacher_disagreement_score":0.588156,"about_ca_system_score_codex":0.00023532435,"about_ca_system_score_gemma":0.00016357916,"threshold_uncertainty_score":0.9999865},"labels":[],"label_agreement":null},{"id":"W2907797723","doi":"10.1002/soej.12325","title":"The Effects of Competition on Prescription Payments in Retail Pharmacy Markets","year":2019,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pharmacy; Ceteris paribus; Competition (biology); Market power; Payment; Business; Medical prescription; Market concentration; Quarter (Canadian coin); Percentile; Marketing; Economics; Industrial organization; Market structure; Microeconomics; Finance; Medicine; Pharmacology; Monopoly; Family medicine; Statistics","score_opus":0.02485515604065731,"score_gpt":0.25655106368478237,"score_spread":0.23169590764412507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907797723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97217065,0.00087106123,0.000014264736,0.0011132221,0.0019495407,0.0002705386,0.00008005933,0.000006916251,0.023523722],"genre_scores_gemma":[0.9967762,0.0011849111,0.000011052775,0.0005633038,0.00019710867,0.000008975784,0.0000033997806,0.000024894698,0.0012301247],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857455,0.000054738848,0.0007970648,0.00022306648,0.000025137393,0.00032542695],"domain_scores_gemma":[0.9988881,0.00019575647,0.00057965994,0.00022911494,0.0000098389755,0.00009757029],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000981575,0.00014282702,0.00032280828,0.00017150876,0.00008848297,0.000096398195,0.00030865145,0.000052828447,0.0011116851],"category_scores_gemma":[0.00004953262,0.0001316312,0.0001548111,0.000042931544,0.000050599836,0.0001800016,0.000042107033,0.00034254877,0.0036377965],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011654375,0.000433376,0.7125813,0.00021165631,0.00048876763,0.000013665778,0.0022878775,0.0013999408,0.0009059814,0.2532779,0.0035439264,0.023690205],"study_design_scores_gemma":[0.020220416,0.000661332,0.13987242,0.0004069812,0.000038749964,0.0000872532,0.00069842103,0.04867646,0.0024027247,0.26491588,0.52069527,0.0013240795],"about_ca_topic_score_codex":0.000050296567,"about_ca_topic_score_gemma":0.000021392492,"teacher_disagreement_score":0.57270885,"about_ca_system_score_codex":0.00030463503,"about_ca_system_score_gemma":0.000037289945,"threshold_uncertainty_score":0.99980146},"labels":[],"label_agreement":null},{"id":"W2932773092","doi":"10.1002/soej.12351","title":"Hierarchy Leadership and Social Distance in Charitable Giving","year":2019,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Hierarchy; Prosocial behavior; Social psychology; Social hierarchy; Social identity theory; Identity (music); Psychology; Transformational leadership; Field (mathematics); Political science; Social group; Mathematics; Law","score_opus":0.05019623394626738,"score_gpt":0.2974212456051757,"score_spread":0.2472250116589083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932773092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868537,0.0012155139,0.0000021932167,0.0022934882,0.000544393,0.00010603275,0.000010746468,0.000012913944,0.008961009],"genre_scores_gemma":[0.9948728,0.00013933721,0.000063619234,0.00014528421,0.0002904207,0.0000038153676,4.348491e-7,0.000013647695,0.0044706324],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9990533,0.00008343835,0.0002456681,0.0001757244,0.000056102177,0.0003857914],"domain_scores_gemma":[0.9996873,0.00004933764,0.0001318249,0.00005520174,0.000011579019,0.000064759726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079743424,0.000094094394,0.00021568376,0.00007198599,0.00038740336,0.00014481499,0.00016673752,0.00006206378,0.0004743032],"category_scores_gemma":[0.000011827624,0.00010269474,0.00005213704,0.0000274482,0.00024652563,0.00036365594,0.00004856743,0.00023656269,0.00042805937],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035762245,0.00002795014,0.66159856,0.000018125676,0.000040836552,0.000007838484,0.3098158,0.000018025818,0.00042302933,0.02360257,0.00019562196,0.0042158836],"study_design_scores_gemma":[0.0013786344,0.00004875591,0.0064366963,0.00006790711,0.0000092923465,0.000018647395,0.96018505,0.00006746776,0.00007763964,0.0148613965,0.01639082,0.0004577217],"about_ca_topic_score_codex":0.00057714275,"about_ca_topic_score_gemma":0.003229476,"teacher_disagreement_score":0.65516186,"about_ca_system_score_codex":0.00071413425,"about_ca_system_score_gemma":0.00010810725,"threshold_uncertainty_score":0.550198},"labels":[],"label_agreement":null},{"id":"W2943299395","doi":"10.1002/soej.12367","title":"Perverse Incentives? Labor Market Regulation and Performance in the Public Sector","year":2019,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ottawa; World Bank Group","keywords":"Endogeneity; Proxy (statistics); Incentive; Public sector; Labour economics; Economics; Instrumental variable; Test (biology); Tertiary sector of the economy; Public service; Variable (mathematics); Microeconomics; Econometrics; Public relations","score_opus":0.010584377041955223,"score_gpt":0.17107166563716775,"score_spread":0.16048728859521252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943299395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290466,0.000060174072,0.000006517147,0.0013316557,0.00036100112,0.00010935714,0.0000065915556,0.0000075131115,0.0052125086],"genre_scores_gemma":[0.99763066,0.0000506188,0.000007519101,0.0005687428,0.0005999975,0.0000023232328,0.0000020157054,0.000010660636,0.001127481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994329,0.00001403251,0.00018085552,0.00012683409,0.00007061816,0.00017471262],"domain_scores_gemma":[0.9995359,0.000014865421,0.00029528874,0.00012074982,0.000026677946,0.0000065056156],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00062878407,0.00008829129,0.00010192208,0.00008291005,0.00010086183,0.000311106,0.00017688893,0.000030878356,0.0012560055],"category_scores_gemma":[0.000011050079,0.000066333196,0.000031932006,0.00009103105,0.000025203619,0.001344458,0.000035319827,0.00015889441,0.0009224294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040784907,0.000010033091,0.9956736,0.000017823893,0.000005524891,0.0000022873492,0.00018848907,0.0000361666,0.000009522175,0.00094493065,0.00091199426,0.0021588353],"study_design_scores_gemma":[0.0006436344,0.0000075760654,0.94230044,0.000028376651,0.0000046649307,0.000016849512,0.0009011423,0.0039713914,5.925478e-7,0.0005347252,0.05149552,0.000095085954],"about_ca_topic_score_codex":0.00004800885,"about_ca_topic_score_gemma":0.00020066295,"teacher_disagreement_score":0.053373165,"about_ca_system_score_codex":0.000051841147,"about_ca_system_score_gemma":0.000032470627,"threshold_uncertainty_score":0.99985546},"labels":[],"label_agreement":null},{"id":"W2944710632","doi":"10.1002/soej.12398","title":"The Tax Paradox and Weak Tax Neutrality","year":2019,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neutrality; Economics; Monetary economics; Asset (computer security); Tax basis; Corporate tax; Tax reform; Investment (military); Debt; Microeconomics; Public economics; State income tax; Tax avoidance; Macroeconomics; Computer science; Political science; Law","score_opus":0.01119979770171985,"score_gpt":0.19770639595585685,"score_spread":0.18650659825413698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944710632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835238,0.00011053042,0.000031620933,0.003104089,0.0008219126,0.000095264375,0.000005689465,0.00002023396,0.0122869],"genre_scores_gemma":[0.99109674,0.000033437173,0.000010572827,0.0005842254,0.0010777112,0.000001724042,0.0000013186867,0.000013948586,0.0071803294],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993749,0.000011713795,0.00023464799,0.00013085999,0.00005545679,0.00019241682],"domain_scores_gemma":[0.9993313,0.00002862076,0.00044908383,0.00014626022,0.000027789509,0.000016937618],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005350462,0.00009921944,0.00011330727,0.00004055869,0.0003126439,0.0007292235,0.00018373935,0.000029507231,0.00072468113],"category_scores_gemma":[0.000013061206,0.00006938158,0.00005852211,0.000035690497,0.00004755818,0.00045427142,0.000057729125,0.0001814563,0.0044990205],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015212627,0.000030264287,0.8697595,0.0000463775,0.00010329949,0.0000061994297,0.00047296737,0.0005727084,0.00041681484,0.05926386,0.02393332,0.045242537],"study_design_scores_gemma":[0.0014769131,0.0000125359375,0.079751104,0.000034103607,0.000029794119,0.000059468748,0.005292095,0.005324836,0.000015596785,0.054241322,0.85337067,0.000391589],"about_ca_topic_score_codex":0.00019977735,"about_ca_topic_score_gemma":0.0004193943,"teacher_disagreement_score":0.8294373,"about_ca_system_score_codex":0.000028226275,"about_ca_system_score_gemma":0.000024925808,"threshold_uncertainty_score":0.9962761},"labels":[],"label_agreement":null},{"id":"W2981379667","doi":"10.1002/soej.12406","title":"U.S. Monetary Policy since the 1950s and the Changing Content of FOMC Minutes","year":2019,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Open market operation; Content (measure theory); Benchmark (surveying); Tone (literature); Diction; Economics; Monetary policy; Lag; Monetary economics; Econometrics; Mathematics; Computer science; Literature","score_opus":0.043990243849615605,"score_gpt":0.20368535383214714,"score_spread":0.15969510998253153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981379667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97741103,0.006288807,0.000090428126,0.010451316,0.0005874852,0.00028752376,0.00022176173,0.000008935312,0.0046527246],"genre_scores_gemma":[0.99463844,0.0006390053,0.000061479026,0.0010305162,0.00064182933,0.000005432722,0.0000027562985,0.000028480596,0.002952069],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998313,0.00005164005,0.0008862025,0.00025115674,0.000025032175,0.00047293783],"domain_scores_gemma":[0.9983653,0.00021278551,0.00089336105,0.00041822175,0.000008429503,0.00010189715],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016612174,0.00020250406,0.0005754305,0.00025616246,0.000239002,0.00014271044,0.0004745052,0.00007500577,0.00061011605],"category_scores_gemma":[0.000060113565,0.00013706827,0.0002732921,0.00006515533,0.00029364598,0.0002544549,0.00011395109,0.00030657905,0.0013888556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010252208,0.00011594793,0.3953062,0.00011645489,0.002257845,0.000007565938,0.07039518,0.016761744,0.00011578842,0.50267756,0.002321434,0.008899092],"study_design_scores_gemma":[0.028450182,0.0006873875,0.14665866,0.00025747027,0.00021297697,0.0021537351,0.05132395,0.22046353,0.0003166749,0.46689534,0.0799697,0.0026103975],"about_ca_topic_score_codex":0.002417766,"about_ca_topic_score_gemma":0.000052305968,"teacher_disagreement_score":0.24864753,"about_ca_system_score_codex":0.000117221876,"about_ca_system_score_gemma":0.000042845026,"threshold_uncertainty_score":0.9993887},"labels":[],"label_agreement":null},{"id":"W2983210953","doi":"10.1002/soej.12410","title":"Identity and the Self‐Reinforcing Effects of Norm Compliance","year":2019,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Norm (philosophy); Social psychology; Voting; Compliance (psychology); Collective identity; Identity (music); Psychology; Social identity theory; Politics; Political science; Social group; Law","score_opus":0.0195609721105865,"score_gpt":0.29983702366161613,"score_spread":0.28027605155102964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983210953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98461443,0.0005871498,0.000009679881,0.0002881706,0.0007436147,0.00021459884,0.0000031524758,0.000010956077,0.013528227],"genre_scores_gemma":[0.99891007,0.00025924467,0.000090949485,0.000053694865,0.00013212879,0.0000030194117,1.1137948e-7,0.000007421013,0.0005433361],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99935067,0.00007313796,0.00023792249,0.00009456671,0.00006313359,0.00018054922],"domain_scores_gemma":[0.9994254,0.00014525693,0.00025913908,0.000095796066,0.000019149578,0.000055241802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075677806,0.00007413589,0.00021426918,0.000026476508,0.0003624854,0.00011193992,0.00023737208,0.000032997854,0.00012439932],"category_scores_gemma":[0.00001943152,0.000057478974,0.00008311274,0.000019807218,0.00032096577,0.00033314654,0.00008352981,0.00012912635,0.00034505932],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017797435,0.000060952847,0.54888284,0.00009381293,0.00038986586,0.000005141329,0.26421782,0.00015712074,0.001134543,0.1794582,0.00017820897,0.005243514],"study_design_scores_gemma":[0.04026273,0.0009092925,0.10048747,0.0010099239,0.0006284377,0.00023795608,0.6906593,0.0027136612,0.0067413277,0.13974465,0.0139203565,0.0026849152],"about_ca_topic_score_codex":0.0014860651,"about_ca_topic_score_gemma":0.0007929409,"teacher_disagreement_score":0.44839537,"about_ca_system_score_codex":0.00018632515,"about_ca_system_score_gemma":0.00007540547,"threshold_uncertainty_score":0.44351548},"labels":[],"label_agreement":null},{"id":"W3001614959","doi":"10.1002/soej.12420","title":"Big Fish, Small Pond: The Effect of Rank at Entry on Postsecondary Outcomes","year":2020,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada; Universität Zürich","keywords":"Ranking (information retrieval); Rank (graph theory); Fish <Actinopterygii>; Educational attainment; Percentage point; Higher education; Point (geometry); Psychology; Statistics; Demography; Demographic economics; Medical education; Mathematics education; Economics; Computer science; Mathematics; Medicine; Sociology; Fishery; Biology; Economic growth; Combinatorics","score_opus":0.026228401030039306,"score_gpt":0.31375020024989436,"score_spread":0.28752179921985505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001614959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93467176,0.00014395565,0.0000016647172,0.05080325,0.0009060959,0.00019960286,0.000054210333,0.000016365935,0.013203076],"genre_scores_gemma":[0.9936318,0.00009980415,0.0000067598926,0.0013850759,0.0010806103,0.000007439536,0.0000012774804,0.000014703957,0.003772522],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984657,0.00057256507,0.00028922837,0.00015556585,0.00019433904,0.00032261212],"domain_scores_gemma":[0.99851257,0.000878483,0.00022067036,0.00013970617,0.000037036065,0.00021155052],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013282753,0.00012008475,0.0002608976,0.000051490017,0.00068517664,0.00010137378,0.0004966527,0.00005194904,0.0028170522],"category_scores_gemma":[0.00049566105,0.00007493016,0.00020491783,0.000059379046,0.00030329532,0.000055880042,0.000086207365,0.00033154903,0.0010194193],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042869907,0.00004033449,0.7110267,0.00003213911,0.00062227197,0.000013451377,0.22144236,0.00010815602,0.00012404985,0.0004310439,0.05041072,0.0153200645],"study_design_scores_gemma":[0.0069655455,0.0018372427,0.2696827,0.00010540566,0.0001913787,0.000028413426,0.14032085,0.000046454188,0.0016480992,0.0012942577,0.5769787,0.000900937],"about_ca_topic_score_codex":0.000300288,"about_ca_topic_score_gemma":0.00092552736,"teacher_disagreement_score":0.526568,"about_ca_system_score_codex":0.00025316665,"about_ca_system_score_gemma":0.00026963954,"threshold_uncertainty_score":0.9997584},"labels":[],"label_agreement":null},{"id":"W3122775382","doi":"10.4284/0038-4038-78.3.954","title":"Focal Points and Economic Efficiency: The Role of Relative Label Salience","year":2012,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Salience (neuroscience); Focal point; Coordination game; Dominance (genetics); Pareto principle; Cardinal point; Economics; Microeconomics; Psychology; Cognitive psychology; Operations management; Optics","score_opus":0.021016456581208338,"score_gpt":0.2971565940916458,"score_spread":0.2761401375104375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122775382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717004,0.0020771688,0.000011362675,0.000587892,0.00055848295,0.0001239242,0.000028773402,0.000010546596,0.024901483],"genre_scores_gemma":[0.99894935,0.00018609414,0.00021352251,0.000048595044,0.0003496605,0.000004784689,2.7580685e-7,0.000013028474,0.00023471052],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99892735,0.00013539838,0.00034375003,0.00013608998,0.00006309462,0.0003943322],"domain_scores_gemma":[0.9992535,0.00013487844,0.00032344522,0.00011561101,0.000014637182,0.00015793102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012969429,0.000116436386,0.00020326051,0.000045031775,0.00067362026,0.00007247711,0.00029241867,0.00006178288,0.00026912068],"category_scores_gemma":[0.00002949828,0.00009310217,0.000073478506,0.00002120946,0.0008016776,0.00047765995,0.00011029875,0.00019485726,0.00040725913],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003888211,0.00009323903,0.61919224,0.0000015844182,0.00009947106,5.934528e-7,0.21227679,0.0000274373,0.00050527375,0.16006504,0.00010946278,0.0075900047],"study_design_scores_gemma":[0.0025977634,0.00036393543,0.028685568,0.00006673377,0.00015807479,0.00015773019,0.8120763,0.00074916007,0.0036488026,0.12460925,0.025739685,0.001146997],"about_ca_topic_score_codex":0.0014078618,"about_ca_topic_score_gemma":0.00070443214,"teacher_disagreement_score":0.5997995,"about_ca_system_score_codex":0.0004183285,"about_ca_system_score_gemma":0.00015311106,"threshold_uncertainty_score":0.5234628},"labels":[],"label_agreement":null},{"id":"W3123468213","doi":"10.1002/j.2325-8012.2005.tb00708.x","title":"The Bundesbank's Communications Strategy and Policy Conflicts with the Federal Government","year":2005,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Proxy (statistics); Inflation (cosmology); Government (linguistics); Monetary policy; Economics; Monetary economics; Probabilistic logic; Economic policy","score_opus":0.024154231527895777,"score_gpt":0.2316406232110938,"score_spread":0.20748639168319802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123468213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37637973,0.004144287,0.00036678213,0.26620978,0.00020424271,0.0003347219,0.000490133,0.000029055185,0.35184124],"genre_scores_gemma":[0.9885958,0.00061289466,0.000099425684,0.002782271,0.00082688616,0.000013497121,0.0000014775951,0.000026964233,0.0070407703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882865,0.000032647833,0.00049591827,0.00016622833,0.00003143127,0.00044514285],"domain_scores_gemma":[0.99877626,0.00017120247,0.00035694448,0.0005056485,0.000012115498,0.0001778183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058928813,0.00015820372,0.00022451437,0.00003018165,0.0011138829,0.0006945143,0.000599107,0.00005686622,0.00019547316],"category_scores_gemma":[0.000021294678,0.00009994445,0.00008922683,0.000033590644,0.0005126013,0.0001758935,0.00012734393,0.00037980662,0.0007596405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020106025,0.000021892645,0.003499387,0.0000019214074,0.000121704485,4.4578496e-7,0.00120327,0.0003072566,6.969001e-7,0.9858884,0.0024141627,0.006520744],"study_design_scores_gemma":[0.00064194185,0.0000895629,0.0051868577,0.0000051077386,0.000007144554,0.00013405288,0.0021723218,0.002786318,0.0000025620443,0.037565377,0.9512121,0.00019663038],"about_ca_topic_score_codex":0.00068746856,"about_ca_topic_score_gemma":0.0010024672,"teacher_disagreement_score":0.94879794,"about_ca_system_score_codex":0.0003776629,"about_ca_system_score_gemma":0.000071564005,"threshold_uncertainty_score":0.9763895},"labels":[],"label_agreement":null},{"id":"W3123886504","doi":"10.1002/soej.12185","title":"Experimenting with Contests for Experimentation","year":2017,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"University of Alaska Anchorage","keywords":"CONTEST; Innovator; Test (biology); Private information retrieval; Rent-seeking; Microeconomics; Economics; Outcome (game theory); Computer science; Political science; Computer security; Law; Finance","score_opus":0.0624275397065968,"score_gpt":0.3911075495851841,"score_spread":0.3286800098785873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123886504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97379965,0.00020438492,0.00017032775,0.00079142227,0.0008059431,0.0003065138,0.000016929336,0.000026613801,0.023878207],"genre_scores_gemma":[0.9956856,0.00002428514,0.001761675,0.000057568803,0.0006918744,0.000058689246,0.0000014223355,0.0000256707,0.0016932535],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9991477,0.00003160658,0.00023875303,0.00018267613,0.00006750915,0.0003317319],"domain_scores_gemma":[0.99911225,0.000036812387,0.00049817155,0.00018773133,0.00004322633,0.00012180519],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00049423263,0.00011848206,0.00017888955,0.00003611995,0.003472775,0.0007821391,0.00037435396,0.000043835993,0.00022319563],"category_scores_gemma":[0.000033528166,0.00011169346,0.00008938679,0.00000490075,0.00034700718,0.00057900394,0.0000458092,0.0000827001,0.00012419448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007091483,0.00026531244,0.44086793,0.000011360538,0.0005669261,0.000027254926,0.4621853,0.000089823,0.016630327,0.05190593,0.0025240749,0.024216617],"study_design_scores_gemma":[0.008984029,0.00063063885,0.004595525,0.00012765694,0.000108180386,0.000067110894,0.91258067,0.00016134918,0.030358262,0.007073506,0.033981036,0.0013320261],"about_ca_topic_score_codex":0.0011532465,"about_ca_topic_score_gemma":0.0015474777,"teacher_disagreement_score":0.4503954,"about_ca_system_score_codex":0.00043397365,"about_ca_system_score_gemma":0.00014894945,"threshold_uncertainty_score":0.99782455},"labels":[],"label_agreement":null},{"id":"W3124735434","doi":"10.4284/0038-4038-78.1.131","title":"Canadian Interest Rate Setting: The Information Content of Canadian and U.S. Central Bank Communication","year":2011,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Probit model; Interest rate; Economics; Ordered probit; Central bank; Taylor rule; Federal funds; Monetary policy; Actuarial science; Econometrics; Monetary economics; Business","score_opus":0.11673201913807793,"score_gpt":0.19098683485263435,"score_spread":0.07425481571455642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124735434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97535384,0.000399632,0.000028976774,0.0035169206,0.00035785334,0.00013543537,0.00067240244,0.000004613815,0.019530304],"genre_scores_gemma":[0.998491,0.0003180168,0.000113745715,0.0007656795,0.00006908021,0.000002612498,0.00001831254,0.000011625048,0.00020993149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987138,0.00003850087,0.00073334883,0.00009808629,0.000007599646,0.00040869432],"domain_scores_gemma":[0.9987314,0.000027127127,0.0005617833,0.00027209581,0.000012613804,0.00039503005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009107445,0.00012007782,0.00022397774,0.00055888,0.00026737305,0.00012482682,0.00034479657,0.00007685498,0.0014410426],"category_scores_gemma":[0.000045183056,0.0001126869,0.000081267186,0.00004369876,0.000092414004,0.00056084007,0.00002650617,0.000244115,0.0007001276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009414129,0.000026807958,0.7602486,0.000029895771,0.00059787906,0.000004815278,0.09081683,0.00081203715,0.000008538806,0.12953429,0.009713105,0.008113072],"study_design_scores_gemma":[0.0015028096,0.00011642696,0.8164705,0.000050203635,0.00003105447,0.00025660315,0.012625705,0.009355186,0.000051654133,0.04187108,0.11708204,0.0005867582],"about_ca_topic_score_codex":0.8972258,"about_ca_topic_score_gemma":0.8325893,"teacher_disagreement_score":0.10736893,"about_ca_system_score_codex":0.00044449797,"about_ca_system_score_gemma":0.0001923216,"threshold_uncertainty_score":0.9994718},"labels":[],"label_agreement":null},{"id":"W3125271809","doi":"10.1002/j.2325-8012.2005.tb00671.x","title":"Market Structure and Organizational Form","year":2005,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Externality; Ignorance; Organizational structure; Unitary state; Microeconomics; Context (archaeology); Business; Market structure; Economics; Industrial organization; Management","score_opus":0.007501329009314518,"score_gpt":0.17722002998507427,"score_spread":0.16971870097575975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125271809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93311733,0.0015370785,0.0030650818,0.0032662437,0.0006273552,0.00006340233,0.0005262038,0.000029128363,0.057768177],"genre_scores_gemma":[0.99158967,0.00016244383,0.00083598966,0.0004816566,0.0007375518,7.204846e-7,0.000009251834,0.000019870427,0.0061628735],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99919057,0.000009005285,0.0004396103,0.00017614594,0.000018274308,0.00016638772],"domain_scores_gemma":[0.9994915,0.000010712853,0.00025241304,0.00011352036,0.000016253869,0.000115561656],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002549603,0.00010096821,0.00020947939,0.00016072237,0.00015561421,0.000141947,0.00012963403,0.000053869007,0.0590938],"category_scores_gemma":[0.000015669111,0.00010869144,0.00007832067,0.00004927378,0.000029357005,0.00018911494,0.000027353413,0.00014580907,0.0016772303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045534543,0.00007260525,0.6109598,0.000015604775,0.00062549685,0.000006623316,0.0038608753,0.00077044184,0.00004267434,0.3488157,0.024659038,0.010125594],"study_design_scores_gemma":[0.002363852,0.000054030184,0.04315425,0.000015232928,0.000043752254,0.0007557172,0.0014256935,0.024463527,0.00006765777,0.48281944,0.4439399,0.00089694804],"about_ca_topic_score_codex":0.000012185855,"about_ca_topic_score_gemma":0.000053216543,"teacher_disagreement_score":0.5678056,"about_ca_system_score_codex":0.00010834703,"about_ca_system_score_gemma":0.000024080437,"threshold_uncertainty_score":0.9991001},"labels":[],"label_agreement":null},{"id":"W3133431087","doi":"10.1002/soej.12489","title":"Economic freedom, pandemics, and robust political economy","year":2021,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University","funders":"","keywords":"Pandemic; Economic freedom; Flexibility (engineering); Politics; Natural disaster; Economics; Political economy; Political freedom; Coronavirus disease 2019 (COVID-19); Development economics; Political science; Market economy; Geography; Law","score_opus":0.02772062647528337,"score_gpt":0.2644988293601831,"score_spread":0.23677820288489973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133431087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60561043,0.0002722833,0.00027102145,0.012123574,0.0022034906,0.000103970175,0.000045272092,0.000052674342,0.37931728],"genre_scores_gemma":[0.98498166,0.00032500536,0.00094596,0.001357561,0.002530745,0.0000056996387,0.0000072447724,0.00003271816,0.009813437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845415,0.00011711279,0.0004928361,0.00030321087,0.00004092598,0.0005917439],"domain_scores_gemma":[0.99899244,0.00009470587,0.00017170962,0.00014919585,0.00003267438,0.0005592788],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009533265,0.0001477823,0.00027095553,0.000082880026,0.0005700462,0.00047787948,0.00020471263,0.00012658785,0.004657837],"category_scores_gemma":[0.000040230563,0.00017030736,0.00012322783,0.000016949636,0.00025168445,0.0002987156,0.00008912812,0.0002699207,0.0018774429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003556574,0.000053728378,0.1285926,0.00000988739,0.0002580436,0.00005674436,0.012339038,0.0009640284,0.000014288601,0.8189193,0.003716067,0.035040725],"study_design_scores_gemma":[0.0018551572,0.00002570835,0.003486675,0.000029526624,0.000042593434,0.00065650226,0.10089488,0.0012002289,0.000017451628,0.04309177,0.8479857,0.0007138252],"about_ca_topic_score_codex":0.00044092545,"about_ca_topic_score_gemma":0.0051657273,"teacher_disagreement_score":0.84426963,"about_ca_system_score_codex":0.0012363169,"about_ca_system_score_gemma":0.0015376582,"threshold_uncertainty_score":0.9988997},"labels":[],"label_agreement":null},{"id":"W3145617557","doi":"10.1002/j.2325-8012.2006.tb00722.x","title":"Can Consumer Confidence Forecast Household Spending? Evidence from the European Commission Business and Consumer Surveys","year":2006,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Chinese University of Hong Kong","keywords":"Consumer confidence index; Sample (material); Commission; Economics; Confidence interval; Consumer spending; European commission; Econometrics; Business; Actuarial science; Statistics; Finance; Macroeconomics; International trade; European union","score_opus":0.09966382591314868,"score_gpt":0.2248884236779295,"score_spread":0.12522459776478082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145617557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808664,0.006834666,0.0012179719,0.0018394497,0.0009424178,0.00019160773,0.0017401881,0.000037030997,0.006330282],"genre_scores_gemma":[0.99617505,0.0011036847,0.00013966266,0.0002788632,0.0010365854,0.0000029560783,0.00002513154,0.00007136983,0.0011666986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737895,0.00033875802,0.0011456932,0.00052090496,0.000040224986,0.0005754786],"domain_scores_gemma":[0.9977591,0.00048533932,0.0009717337,0.00053487904,0.000017575569,0.00023139814],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0039577233,0.00034699068,0.0005683074,0.00014212019,0.0005675984,0.000646034,0.00061317376,0.000104777246,0.0013145464],"category_scores_gemma":[0.00014722363,0.00030496478,0.00015296071,0.00007071173,0.00033960058,0.0005781463,0.00014184041,0.000472378,0.0017157905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003408652,0.000029177105,0.9854606,0.00000902613,0.00015040893,0.00002712781,0.0011264773,0.0015907045,0.00004280571,0.0021103183,0.007140764,0.00227851],"study_design_scores_gemma":[0.0013095712,0.00003321759,0.9513169,0.00016404616,0.00003998163,0.00037700124,0.0004921637,0.0020123483,0.00003275612,0.027079972,0.016486501,0.0006555726],"about_ca_topic_score_codex":0.034183014,"about_ca_topic_score_gemma":0.0023588592,"teacher_disagreement_score":0.034143727,"about_ca_system_score_codex":0.0001992839,"about_ca_system_score_gemma":0.00005111828,"threshold_uncertainty_score":0.9999402},"labels":[],"label_agreement":null},{"id":"W3146908050","doi":"10.1002/j.2325-8012.2004.tb00629.x","title":"Can Consumer Attitudes Forecast Household Spending in the United States? Further Evidence from the Michigan Survey of Consumers","year":2004,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Chinese University of Hong Kong","keywords":"Consumer confidence index; Consumption (sociology); Consumer spending; Personal consumption expenditures price index; Economics; Consumer price index (South Africa); Index (typography); Perception; Politics; Survey data collection; Consumer behaviour; Marketing; Psychology; Political science; Business; Macroeconomics; Sociology; Statistics; Social science","score_opus":0.0632893112568123,"score_gpt":0.25252904196214826,"score_spread":0.18923973070533595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146908050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998197,0.0003220861,0.000015914164,0.0008411849,0.00026316967,0.00018646606,0.00011376427,0.000012895505,0.00004750067],"genre_scores_gemma":[0.99858385,0.00011573889,0.000036148536,0.00086576614,0.00026016822,0.0000030182096,0.00008308994,0.000034059336,0.000018170427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984466,0.00012147375,0.00065991475,0.00023341653,0.00020567173,0.00033292465],"domain_scores_gemma":[0.99839467,0.0004019501,0.00075416075,0.00033733028,0.00009419026,0.000017694774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00227239,0.0002178415,0.00031533523,0.00025801623,0.0002505446,0.0004305752,0.0007285851,0.000054209264,0.00048318825],"category_scores_gemma":[0.00021221516,0.00013917519,0.00013893175,0.0003758315,0.00019115218,0.00046539184,0.000097181386,0.00034454992,0.00019069978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064695254,0.000028966755,0.99266905,0.000007846207,0.000057891702,0.000010438188,0.0029428243,0.003824369,0.00003594775,0.00012435729,0.00012300191,0.000110645524],"study_design_scores_gemma":[0.0008572135,0.0000085524025,0.99040085,0.00027850055,0.00012470176,0.000007863006,0.004937117,0.00086300645,0.00001540442,0.0017167585,0.0005668573,0.00022317047],"about_ca_topic_score_codex":0.13739885,"about_ca_topic_score_gemma":0.18248549,"teacher_disagreement_score":0.045086645,"about_ca_system_score_codex":0.000098771954,"about_ca_system_score_gemma":0.00008836804,"threshold_uncertainty_score":0.86834526},"labels":[],"label_agreement":null},{"id":"W3150308631","doi":"10.1002/j.2325-8012.2001.tb00395.x","title":"A Flexible Multistage Demand System Based on Indirect Separability","year":2001,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Separable space; Computer science; Mathematical optimization; On demand; Mathematical economics; Economics; Mathematics","score_opus":0.019945616064742086,"score_gpt":0.20379436430199596,"score_spread":0.1838487482372539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150308631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8257593,0.00076829625,0.0020328437,0.00056730304,0.0014302561,0.00029578962,0.0004136418,0.00013098867,0.1686016],"genre_scores_gemma":[0.9962124,0.000071959694,0.00037917096,0.00031314007,0.0006522973,0.000017244258,0.0000142150675,0.000048940994,0.002290611],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99765754,0.0000557551,0.0011039531,0.0005829757,0.00003690317,0.00056288444],"domain_scores_gemma":[0.99827623,0.00010906092,0.0008152613,0.0004826501,0.000025910733,0.00029087748],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017643038,0.00032371993,0.0006949552,0.00030635376,0.00033085703,0.00031083915,0.00046256042,0.00020127006,0.001094957],"category_scores_gemma":[0.000045167213,0.00032275284,0.00039406595,0.00008724111,0.00006456239,0.00028833258,0.000043433258,0.00045205452,0.006573298],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012014051,0.0007185389,0.90889645,0.0001539111,0.00083235383,0.0002308735,0.0023119077,0.025610734,0.000040079376,0.0457958,0.009829646,0.0043783276],"study_design_scores_gemma":[0.022542011,0.0022429582,0.28200033,0.000589482,0.00019321234,0.0027293412,0.008000393,0.111734495,0.0005276735,0.059966866,0.5029478,0.0065254294],"about_ca_topic_score_codex":0.00007792559,"about_ca_topic_score_gemma":0.000049398248,"teacher_disagreement_score":0.6268961,"about_ca_system_score_codex":0.0008388136,"about_ca_system_score_gemma":0.000067348774,"threshold_uncertainty_score":0.99992245},"labels":[],"label_agreement":null},{"id":"W3200571739","doi":"10.1002/soej.12534","title":"Macroeconomic shocks and racial labor market differences","year":2021,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Economics; Business cycle; Recession; Vector autoregression; Structural vector autoregression; Supply shock; Inequality; Monetary economics; Monetary policy; Labour economics; Macroeconomics","score_opus":0.028073335115176182,"score_gpt":0.33677252790050294,"score_spread":0.30869919278532676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200571739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97038865,0.0011759949,0.000012533591,0.006421055,0.0017161379,0.00010393989,0.00013279497,0.000028507862,0.020020403],"genre_scores_gemma":[0.96059406,0.0009534431,0.00007715283,0.0009570954,0.0018449867,0.000014934172,0.0000039787296,0.000031100968,0.035523277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985925,0.00024665464,0.00048636057,0.00021468788,0.000045606226,0.00041422233],"domain_scores_gemma":[0.99923337,0.00019845834,0.0002473257,0.00012625563,0.000050562776,0.00014405786],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047147233,0.000152399,0.0003219188,0.000053028987,0.0010226159,0.00005387916,0.00011901928,0.000101236576,0.012210086],"category_scores_gemma":[0.000045068384,0.00013062808,0.00007726017,0.000019921368,0.000076706005,0.000111296584,0.0001523101,0.00049203914,0.00083097315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053182746,0.000011605731,0.97611344,0.000019054993,0.00013600879,0.00001870039,0.008275068,6.35853e-7,0.00002270006,0.0007019921,0.010724997,0.003922596],"study_design_scores_gemma":[0.0031424386,0.00007305541,0.79525626,0.0001624658,0.00009190171,0.00011603097,0.065355785,0.00009016827,0.000018034025,0.023578355,0.11160595,0.00050958694],"about_ca_topic_score_codex":0.00007216401,"about_ca_topic_score_gemma":0.001466118,"teacher_disagreement_score":0.18085723,"about_ca_system_score_codex":0.00014268643,"about_ca_system_score_gemma":0.0003856166,"threshold_uncertainty_score":0.999947},"labels":[],"label_agreement":null},{"id":"W4231342073","doi":"10.1002/j.2325-8012.2006.tb00732.x","title":"The Influence of Teaching on Research in Economics","year":2006,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Variety (cybernetics); Economics education; Psychology; Teaching method; Mathematics education; Educational research; Computer science; Primary education","score_opus":0.06826673000314212,"score_gpt":0.4429842201377802,"score_spread":0.37471749013463806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231342073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404591,0.000021872465,0.000009846099,0.003456305,0.00054818316,0.00006622344,0.0000036626423,0.0000032277237,0.055431586],"genre_scores_gemma":[0.996885,0.000035561738,0.001039274,0.00003627613,0.0009468852,0.000004414254,2.6881872e-7,0.0000073069527,0.0010450155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850404,0.0006720306,0.00037341422,0.00008960092,0.00010445211,0.00025645108],"domain_scores_gemma":[0.99850357,0.0010738566,0.00018804954,0.00013089193,0.00007806526,0.00002557387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01270149,0.00004385698,0.00007517481,0.00019669815,0.0009791111,0.00011486462,0.00040351186,0.00004702133,0.000025613868],"category_scores_gemma":[0.00038056576,0.00003702492,0.00003140245,0.00007996041,0.00035277166,0.00012653704,0.000020879874,0.0005506184,0.00009111945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016398793,0.000038913673,0.03555832,7.9516093e-7,0.0000070887613,4.3831625e-7,0.006820125,0.02516219,0.000029201285,0.914354,0.00034982854,0.0176627],"study_design_scores_gemma":[0.0002357752,0.000029179206,0.04791396,0.000037117017,0.0000016718874,0.0000067701358,0.040366795,0.00011020022,0.00003533712,0.8122715,0.09888267,0.00010903543],"about_ca_topic_score_codex":0.0025309445,"about_ca_topic_score_gemma":0.0025362307,"teacher_disagreement_score":0.10208251,"about_ca_system_score_codex":0.00067344855,"about_ca_system_score_gemma":0.0006936926,"threshold_uncertainty_score":0.75306296},"labels":[],"label_agreement":null},{"id":"W4231587628","doi":"10.1002/j.2325-8012.2002.tb00457.x","title":"Cross‐Subsidization in Nursing Homes: Explaining Rate Differentials Among Payer Types","year":2002,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Reimbursement; Subsidy; Quarter (Canadian coin); Nursing homes; Actuarial science; Nursing; Service (business); Business; Medicine; Demographic economics; Economics; Health care; Marketing; Economic growth; Geography","score_opus":0.03751372560668526,"score_gpt":0.35426509892435004,"score_spread":0.3167513733176648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231587628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98988074,0.00053835515,0.00030636194,0.00033911614,0.00298128,0.0001771656,0.000015576283,0.000043498578,0.0057179215],"genre_scores_gemma":[0.9947562,0.00016343327,0.000054224667,0.0000552483,0.0011577754,0.000009330757,0.0000075483285,0.000042930496,0.0037532635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980407,0.0004036698,0.0007298314,0.00021347168,0.00007665279,0.00053568895],"domain_scores_gemma":[0.9990292,0.00017549972,0.00045113656,0.00016338489,0.00004788473,0.00013286919],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00080852385,0.00016399527,0.00032104237,0.0002450413,0.0006216101,0.00009762445,0.00015700003,0.00018108157,0.0074583995],"category_scores_gemma":[0.00006949712,0.00014803518,0.00009936271,0.00008668024,0.00006560239,0.00025945582,0.00002187936,0.0006086116,0.0015669825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010387307,0.00008563878,0.847653,0.000035987556,0.00005816698,0.000021855692,0.11892487,0.0008844309,0.00021903316,0.00013859828,0.0045696762,0.027304903],"study_design_scores_gemma":[0.008005578,0.00016298673,0.826255,0.002195663,0.00012824629,0.000078406316,0.14484924,0.0066747935,0.00012886342,0.007779793,0.0026679283,0.0010734632],"about_ca_topic_score_codex":0.00010053855,"about_ca_topic_score_gemma":0.00019654594,"teacher_disagreement_score":0.02623144,"about_ca_system_score_codex":0.0004959535,"about_ca_system_score_gemma":0.0000767543,"threshold_uncertainty_score":0.9992104},"labels":[],"label_agreement":null},{"id":"W4233568290","doi":"10.1002/j.2325-8012.2002.tb00462.x","title":"Trade and GDP Growth: Causal Relations in the United States and Canada","year":2002,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Granger causality; Causality (physics); Economics; Real gross domestic product; International economics; International trade; Error correction model; Monetary economics; Econometrics; Cointegration","score_opus":0.03635443811132904,"score_gpt":0.17547252338675073,"score_spread":0.1391180852754217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233568290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98635143,0.0011900262,0.000018622415,0.008493184,0.00022699068,0.000073996984,0.00035374172,0.000005119455,0.0032869019],"genre_scores_gemma":[0.99654806,0.0019552081,0.000046838944,0.0010502281,0.00011661394,0.0000028939207,0.000009552957,0.000015474527,0.00025510776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896735,0.000024881401,0.00051930075,0.00019575325,0.00001549659,0.00027724094],"domain_scores_gemma":[0.99946904,0.00008635386,0.00021816877,0.00011714581,0.00000382302,0.000105454936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004106272,0.00012887381,0.00022423154,0.0001497615,0.00018479025,0.00017570746,0.00016721441,0.000060962728,0.00038655274],"category_scores_gemma":[0.000020422787,0.00012388833,0.000035569585,0.00005622945,0.00006340685,0.00017618832,0.000015566075,0.00029879517,0.00013789893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013219451,0.00005103783,0.90681136,0.00001152867,0.0001214994,0.00004146767,0.014299808,0.0020722896,7.371017e-7,0.055700265,0.020489838,0.00038692713],"study_design_scores_gemma":[0.004677531,0.00018071583,0.4048571,0.00004225812,0.00004411944,0.0018413701,0.03132195,0.07070798,0.0000031818543,0.18803446,0.29695675,0.0013325987],"about_ca_topic_score_codex":0.22335294,"about_ca_topic_score_gemma":0.2841831,"teacher_disagreement_score":0.5019543,"about_ca_system_score_codex":0.00021528253,"about_ca_system_score_gemma":0.000024632753,"threshold_uncertainty_score":0.7818188},"labels":[],"label_agreement":null},{"id":"W4234163525","doi":"10.1002/j.2325-8012.2004.tb00611.x","title":"Long‐Run Economic Performance and the Labor Market","year":2004,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Flexibility (engineering); Unemployment rate; Productivity; Labour economics; Steady state (chemistry); Unemployment; Secondary labor market; Convergence (economics); Population; Macroeconomics; Labor relations","score_opus":0.009986176355837307,"score_gpt":0.17611611699052718,"score_spread":0.16612994063468986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234163525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613669,0.0026900668,0.00024989102,0.005308507,0.0017231622,0.00022943324,0.00022463629,0.000030761927,0.028176675],"genre_scores_gemma":[0.9940112,0.0013691506,0.0001918466,0.0005085076,0.0011366273,0.000015423308,0.0000030689937,0.000050335275,0.002713789],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979831,0.000043437678,0.0009289055,0.0004996267,0.000020295833,0.0005246295],"domain_scores_gemma":[0.99851376,0.00008241664,0.000729393,0.00045547678,0.000013025629,0.0002059307],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025056242,0.00027877145,0.0005980563,0.00017294,0.00046713414,0.0003499038,0.0004795795,0.0001193431,0.0019798675],"category_scores_gemma":[0.00004895147,0.00024825172,0.00020716726,0.000038906273,0.0003806203,0.0005880024,0.000108315755,0.0004961103,0.0050626625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091142673,0.000090021385,0.6960859,0.000064522006,0.0006564472,0.000016535749,0.0058531053,0.0068709333,0.00000325511,0.27809766,0.0037193827,0.007630847],"study_design_scores_gemma":[0.024383048,0.00029240668,0.2167181,0.00007563014,0.00007932142,0.0022944966,0.0017254757,0.009507243,0.00009686468,0.65551555,0.087385125,0.0019267272],"about_ca_topic_score_codex":0.000322488,"about_ca_topic_score_gemma":0.0001700061,"teacher_disagreement_score":0.47936776,"about_ca_system_score_codex":0.0004805938,"about_ca_system_score_gemma":0.00014569979,"threshold_uncertainty_score":0.99999696},"labels":[],"label_agreement":null},{"id":"W4234881295","doi":"10.1002/j.2325-8012.2002.tb00458.x","title":"Education Vouchers, the Peer Group Problem, and the Question of Dropouts","year":2002,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"School Choice and Performance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Voucher; Dropout (neural networks); Equity (law); Externality; Peer group; Public economics; Demographic economics; Quality (philosophy); School choice; Economics; Psychology; Political science; Social psychology; Microeconomics; Law; Accounting; Computer science","score_opus":0.015399273950633108,"score_gpt":0.2774967471991214,"score_spread":0.26209747324848826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234881295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94378877,0.0012712518,0.00001997324,0.024475431,0.00054075016,0.00014381105,0.000003197103,0.000007862446,0.029748948],"genre_scores_gemma":[0.9912397,0.0005803134,0.00005511213,0.00022314454,0.0011624506,0.000004744721,3.732687e-7,0.0000050351987,0.0067291167],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993552,0.00018971336,0.00017002207,0.000060169343,0.00010836414,0.00011651766],"domain_scores_gemma":[0.9995667,0.00007284498,0.00018885641,0.000080510225,0.000047860445,0.000043227712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020081364,0.000047077676,0.00007163241,0.000021797083,0.0004902081,0.0001484884,0.00018180668,0.00003761581,0.0006152378],"category_scores_gemma":[0.00005755357,0.0000263201,0.00004319908,0.000031845833,0.0002838826,0.00019897058,0.000011070008,0.00018389341,0.00014678045],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011602821,0.00010777573,0.16480845,0.00001749452,0.0001338414,4.856771e-7,0.5076767,0.00016251432,0.000048144055,0.1032515,0.03554328,0.18813378],"study_design_scores_gemma":[0.0034769478,0.00012315257,0.017933497,0.0001661785,0.00016318378,0.00013488866,0.31501856,0.0023191653,0.000023960149,0.150893,0.50927645,0.00047104034],"about_ca_topic_score_codex":0.0016987582,"about_ca_topic_score_gemma":0.0015683294,"teacher_disagreement_score":0.47373313,"about_ca_system_score_codex":0.00006109466,"about_ca_system_score_gemma":0.000082711835,"threshold_uncertainty_score":0.6736422},"labels":[],"label_agreement":null},{"id":"W4238330535","doi":"10.1002/j.2325-8012.2002.tb00435.x","title":"Hospital Technology in a Nonmarket Health Care System","year":2002,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Nonmarket forces; Production (economics); Set (abstract data type); Business; Industrial organization; Health care; Economics; Microeconomics; Computer science; Factor market; Economic growth","score_opus":0.01777253238901933,"score_gpt":0.3469716319725445,"score_spread":0.32919909958352517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238330535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95755744,0.008208018,0.000018545465,0.013532397,0.004024777,0.0008454251,0.00015350248,0.00018950852,0.015470382],"genre_scores_gemma":[0.9974039,0.00017802774,0.00029464465,0.0005736911,0.00076129794,0.000040406518,0.0000030728745,0.000047738813,0.00069718604],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99682134,0.00049634377,0.0011687315,0.0003016843,0.00011319827,0.0010986846],"domain_scores_gemma":[0.9984892,0.00009239159,0.0006804225,0.00033664308,0.000084160594,0.00031720253],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000999172,0.00020460373,0.00053098355,0.00040180038,0.00068157306,0.000018441939,0.00038132584,0.0003209595,0.0013100713],"category_scores_gemma":[0.000057155896,0.00019610068,0.000089963505,0.00014062428,0.000058646554,0.00010595493,0.00009941054,0.0014332242,0.014306202],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011711577,0.00014018202,0.6751205,0.0012712638,0.0001008281,0.00030582736,0.19586593,0.00009081616,0.0000031759776,0.0052062217,0.10175868,0.020019505],"study_design_scores_gemma":[0.0044479687,0.0005909982,0.011435515,0.001943932,0.000013749478,0.00034484654,0.8907657,0.000642983,0.0000013136687,0.000797612,0.08845543,0.0005599321],"about_ca_topic_score_codex":0.00063081546,"about_ca_topic_score_gemma":0.0014844862,"teacher_disagreement_score":0.6948998,"about_ca_system_score_codex":0.004824828,"about_ca_system_score_gemma":0.0005044655,"threshold_uncertainty_score":0.99960285},"labels":[],"label_agreement":null},{"id":"W4239235965","doi":"10.1002/j.2325-8012.2002.tb00469.x","title":"Are Multiple‐Choice Exams Easier for Economics Students? A Comparison of Multiple‐Choice and “Equivalent” Constructed‐Response Exam Questions","year":2002,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multiple choice; Mathematics education; Psychology; School choice; Social psychology; Mathematics; Statistics; Economics; Significant difference","score_opus":0.11482272831472497,"score_gpt":0.41491793699846785,"score_spread":0.3000952086837429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239235965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944657,0.0003479477,0.00084849726,0.0011313811,0.0020176799,0.00050082593,0.000274946,0.000031331656,0.00038166565],"genre_scores_gemma":[0.98895645,0.00007286967,0.008613775,0.00012704759,0.0012111056,0.00004335274,0.0000038439484,0.000036454552,0.00093512126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748975,0.0006660044,0.0009268385,0.00032070812,0.00016522522,0.00043146053],"domain_scores_gemma":[0.9912058,0.0067314864,0.0013228626,0.00025198222,0.0002738233,0.00021403232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027188323,0.00020763958,0.00042691638,0.0002837051,0.00096938165,0.0002491002,0.0005470816,0.000177023,0.00053669955],"category_scores_gemma":[0.008280345,0.00023366419,0.00013602914,0.00012416327,0.00062177086,0.0003744795,0.00006717613,0.00034389677,0.000053445066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083086044,0.00020396571,0.97598493,0.000011273544,0.00013312408,3.200165e-7,0.013788348,0.00050462503,0.00008926653,0.0014460387,0.00050895853,0.007246053],"study_design_scores_gemma":[0.005640562,0.00020374623,0.7137835,0.0001920635,0.00020421903,0.00007412609,0.1614348,0.007929217,0.00016614646,0.0060197567,0.10339259,0.00095929485],"about_ca_topic_score_codex":0.00033396136,"about_ca_topic_score_gemma":0.0016948534,"teacher_disagreement_score":0.26220146,"about_ca_system_score_codex":0.0005868158,"about_ca_system_score_gemma":0.00026418123,"threshold_uncertainty_score":0.99129444},"labels":[],"label_agreement":null},{"id":"W4244107719","doi":"10.1002/j.2325-8012.2003.tb00576.x","title":"An Empty Promise: Average Cost Savings and Scale Economies among Canadian and American Manufacturers, 1910‐1988","year":2003,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Economies of scale; Economics; Welfare; Volatility (finance); Convergence (economics); Scale (ratio); Production (economics); Goods and services; International economics; Economy; Macroeconomics; Econometrics; Microeconomics; Market economy","score_opus":0.0151605412978687,"score_gpt":0.1883150617158643,"score_spread":0.1731545204179956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244107719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854765,0.00056082377,0.000053218162,0.0005152303,0.00053666846,0.0002610185,0.00061324565,0.000024763773,0.011958565],"genre_scores_gemma":[0.99752605,0.0005515914,0.00050113053,0.00051720085,0.00021295062,0.000011193234,0.000012785392,0.000062789484,0.0006042903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977311,0.00004116202,0.0008048945,0.000639477,0.000018728564,0.0007646344],"domain_scores_gemma":[0.9979902,0.000030007828,0.00061377184,0.0003497479,0.0000130635035,0.001003215],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008285835,0.00035117616,0.00067629776,0.00033463188,0.00048451716,0.00072328513,0.00029295043,0.00015463082,0.0009479481],"category_scores_gemma":[0.000024866982,0.00041946428,0.00012370743,0.000046332974,0.0003642513,0.00073995435,0.000031724754,0.00042059305,0.0005924987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020683916,0.000026813756,0.9871907,0.000010150052,0.00012572468,0.000013982612,0.0024113576,0.0005050921,0.000003723568,0.00644855,0.0005371861,0.0027060257],"study_design_scores_gemma":[0.0038944634,0.00040864994,0.69639814,0.000041907035,0.000059096474,0.0011837363,0.0121129695,0.0034620787,0.00009867349,0.06271627,0.21728468,0.002339328],"about_ca_topic_score_codex":0.03189341,"about_ca_topic_score_gemma":0.088508755,"teacher_disagreement_score":0.29079255,"about_ca_system_score_codex":0.0006107338,"about_ca_system_score_gemma":0.0001404367,"threshold_uncertainty_score":0.9999653},"labels":[],"label_agreement":null},{"id":"W4245417376","doi":"10.1002/j.2325-8012.2004.tb00613.x","title":"Evaluating Threshold Effects in Consumer Sentiment","year":2004,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Consumer confidence index; Economics; Consumption (sociology); Sentiment analysis; Volatility (finance); Relevance (law); Consumer spending; Econometrics; Macroeconomics; Computer science; Recession; Political science","score_opus":0.08312035759755074,"score_gpt":0.2813771848821203,"score_spread":0.1982568272845696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245417376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98935676,0.0016500098,0.0005215007,0.00059485965,0.0011376904,0.00022505173,0.0000708047,0.00002186753,0.0064214813],"genre_scores_gemma":[0.99728554,0.00009309567,0.0010749587,0.00048415552,0.00040865355,0.000011704264,0.000004922058,0.00004364458,0.0005933121],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978625,0.000025102476,0.0010746545,0.00038914048,0.000027703449,0.0006209],"domain_scores_gemma":[0.9988883,0.000048272024,0.00055651215,0.00030199398,0.0000047477347,0.00020013693],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015401294,0.00023953155,0.00053357106,0.00035777705,0.0001539737,0.00017233216,0.00029540315,0.000118467986,0.0015011784],"category_scores_gemma":[0.000048732207,0.00027553004,0.00021855044,0.000052868214,0.00006203422,0.00035905893,0.000053365067,0.00042546098,0.011745766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016003492,0.00030767883,0.5511558,0.0000643437,0.0005601863,0.00012343907,0.010098367,0.36833286,0.00013397548,0.06399858,0.0005794274,0.004485329],"study_design_scores_gemma":[0.01734222,0.0005264681,0.05627162,0.0002276923,0.000045107598,0.00082767836,0.0012331152,0.04834835,0.00029801374,0.86816204,0.004968931,0.0017487621],"about_ca_topic_score_codex":0.00073750055,"about_ca_topic_score_gemma":0.00013059375,"teacher_disagreement_score":0.80416346,"about_ca_system_score_codex":0.00084375346,"about_ca_system_score_gemma":0.00006984732,"threshold_uncertainty_score":0.99996966},"labels":[],"label_agreement":null},{"id":"W4246373074","doi":"10.1002/j.2325-8012.2004.tb00616.x","title":"Public Infrastructure and the Productive Performance of Canadian Manufacturing Industries","year":2004,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Employment and Social Development Canada; Concordia University","funders":"","keywords":"Public infrastructure; Productivity; Public capital; Capital (architecture); Industrial organization; Economics; Business; Dual (grammatical number); Public sector; Manufacturing; Labour economics; Production (economics); Microeconomics; Economy; Macroeconomics; Marketing","score_opus":0.02635244323479206,"score_gpt":0.17260600560950404,"score_spread":0.146253562374712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246373074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972008,0.0004035092,0.000013906282,0.006439412,0.0004044158,0.00012522086,0.0001500176,0.0000065853023,0.020448945],"genre_scores_gemma":[0.9989615,0.00013746407,0.00006754662,0.00022080578,0.00042785433,0.000004301701,0.0000021841881,0.000019809462,0.00015852644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998799,0.000014117696,0.0005895671,0.00021390482,0.000015534972,0.00036786264],"domain_scores_gemma":[0.99910104,0.000021955746,0.00047878025,0.00020177053,0.000012918608,0.0001835255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007278517,0.00015045133,0.0003555411,0.000502627,0.0003020241,0.00014176086,0.00029499177,0.00010753695,0.0001891789],"category_scores_gemma":[0.000056423607,0.00012593696,0.00007876871,0.00007154603,0.00036944533,0.0003938846,0.000047776757,0.0004275216,0.00021441803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022162011,0.000029703859,0.25621042,0.00005782388,0.00060546264,0.000005284344,0.018132107,0.0041086036,0.000004882609,0.70776224,0.0010944129,0.011767458],"study_design_scores_gemma":[0.0051374035,0.00011236798,0.13190451,0.000037404327,0.00001912115,0.0004978549,0.0032129032,0.00032622216,0.0008018269,0.83295804,0.024453744,0.00053861114],"about_ca_topic_score_codex":0.009834067,"about_ca_topic_score_gemma":0.0034660385,"teacher_disagreement_score":0.1251958,"about_ca_system_score_codex":0.0003213412,"about_ca_system_score_gemma":0.00021385486,"threshold_uncertainty_score":0.99675953},"labels":[],"label_agreement":null},{"id":"W4254164553","doi":"10.1002/j.2325-8012.2006.tb00779.x","title":"Margin, Short Selling, and Lotteries in Experimental Asset Markets","year":2006,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Asset (computer security); Lottery; Margin (machine learning); Economics; Stochastic game; Monetary economics; Financial economics; Business; Microeconomics","score_opus":0.01572207731175484,"score_gpt":0.20307706158515118,"score_spread":0.18735498427339634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254164553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550827,0.0037970194,0.0000680126,0.00019225814,0.00050267874,0.000096726144,0.00008658672,0.000015384998,0.040158592],"genre_scores_gemma":[0.9978689,0.00025875476,0.00027129555,0.00012626259,0.00035898318,0.000008640951,0.000008013972,0.000030106024,0.0010690426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986103,0.00001980982,0.0007075862,0.00029201747,0.00002182516,0.00034845268],"domain_scores_gemma":[0.9995544,0.000019624638,0.00021894925,0.0001315763,0.0000061209153,0.00006933774],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057628605,0.00018836957,0.00035037118,0.00021064466,0.0001295321,0.00028176772,0.00015114085,0.000089484485,0.0009942983],"category_scores_gemma":[0.000007132097,0.00021030498,0.00008356023,0.000038839487,0.00010701927,0.00038026477,0.00004050362,0.00020254601,0.00031603032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011044902,0.0001434146,0.86666644,0.000017349637,0.000048278973,0.000051068426,0.0013326927,0.00015435157,0.00013964628,0.12679915,0.003742447,0.00079474464],"study_design_scores_gemma":[0.0031316117,0.00029075515,0.5772543,0.000092171125,0.000012542613,0.00042885795,0.006337399,0.0032100275,0.0005230818,0.26340443,0.14376065,0.0015542046],"about_ca_topic_score_codex":0.00035502468,"about_ca_topic_score_gemma":0.00014725821,"teacher_disagreement_score":0.28941214,"about_ca_system_score_codex":0.00018091778,"about_ca_system_score_gemma":0.000029362338,"threshold_uncertainty_score":0.99991894},"labels":[],"label_agreement":null},{"id":"W4254284282","doi":"10.1002/j.2325-8012.2002.tb00448.x","title":"Causality Links between Consumer and Producer Prices: Some Empirical Evidence","year":2002,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Causality (physics); Economics; Econometrics; Inference; Monetary transmission mechanism; Transmission (telecommunications); Empirical evidence; Mechanism (biology); Causal inference; Monetary policy; Macroeconomics; Monetary economics; Computer science; Telecommunications; Credit channel; Inflation targeting","score_opus":0.2856390340987865,"score_gpt":0.29057352163621797,"score_spread":0.004934487537431476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254284282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810488,0.009970659,0.00018139168,0.005079339,0.00063566625,0.00019458201,0.0003345277,0.000039164614,0.0025158483],"genre_scores_gemma":[0.9928042,0.0016648452,0.00036059442,0.0009974388,0.0017698894,0.0000068823438,0.000003717723,0.00004806555,0.002344367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740213,0.00005085175,0.0012391497,0.0006150111,0.000033117645,0.00065975584],"domain_scores_gemma":[0.99815696,0.0001841303,0.00077584013,0.00044899495,0.000010616204,0.00042347886],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015165933,0.000305218,0.00072211464,0.0002447424,0.00030803986,0.00033316747,0.00036879006,0.00029530263,0.004540263],"category_scores_gemma":[0.0001647657,0.0003230148,0.00019833574,0.00005034842,0.00019691819,0.0010422169,0.000095762676,0.0008550508,0.010164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002422735,0.000052419065,0.98177886,0.00003423709,0.0003484103,0.000011222131,0.004613165,0.00022976265,0.0000050490803,0.0018801875,0.0077631986,0.003259269],"study_design_scores_gemma":[0.0058161933,0.0007127371,0.46594283,0.00028514295,0.00023910616,0.0014007818,0.0014944435,0.027748987,0.00009864331,0.16010547,0.33229053,0.0038651365],"about_ca_topic_score_codex":0.0003407926,"about_ca_topic_score_gemma":0.000020100439,"teacher_disagreement_score":0.515836,"about_ca_system_score_codex":0.00029489002,"about_ca_system_score_gemma":0.000028881675,"threshold_uncertainty_score":0.9999222},"labels":[],"label_agreement":null},{"id":"W4296114418","doi":"10.1002/soej.12603","title":"Governors and electoral hazard in the allocation of federal disaster aid","year":2022,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Governor; Welfare; Moral hazard; Hazard; Hazard model; Economics; Politics; Public economics; Business; Public administration; Political science; Actuarial science; Microeconomics; Law; Incentive; Market economy","score_opus":0.02707473085705693,"score_gpt":0.29706014657844954,"score_spread":0.2699854157213926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296114418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956237,0.00004555066,0.000012037157,0.0026311972,0.00017485398,0.00007753626,0.000010321719,0.0000025578029,0.0014222448],"genre_scores_gemma":[0.99926376,0.000001713791,0.000004945939,0.00012061005,0.00022525823,0.0000058774735,0.0000010580922,0.000003846367,0.0003729219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990915,0.0003650044,0.00020024316,0.000058759604,0.00011467889,0.00016982378],"domain_scores_gemma":[0.99973714,0.00005585295,0.000112092275,0.000043287546,0.000010003058,0.000041608422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010241446,0.000038334794,0.00007990683,0.00002427809,0.000348424,0.00007197828,0.00011411867,0.000017830236,0.00031336446],"category_scores_gemma":[0.000024722456,0.000030370606,0.00003189176,0.000036634367,0.00006337881,0.00008502077,0.0000150083,0.00014670286,0.000013983621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052053554,0.00004832665,0.8910156,0.0000046080977,0.000019667066,0.0000022150205,0.08083259,0.0004106785,0.0001592114,0.024764875,0.0010060812,0.0016840716],"study_design_scores_gemma":[0.0028877459,0.00077354343,0.62950283,0.0000414502,0.00005317134,0.000097537886,0.21680406,0.001576645,0.000047831414,0.077730335,0.06984757,0.00063729123],"about_ca_topic_score_codex":0.009908786,"about_ca_topic_score_gemma":0.020278553,"teacher_disagreement_score":0.2615128,"about_ca_system_score_codex":0.0001910675,"about_ca_system_score_gemma":0.000104837134,"threshold_uncertainty_score":0.9975988},"labels":[],"label_agreement":null},{"id":"W4378652762","doi":"10.1002/soej.12633","title":"Do sovereign credit rating events affect the foreign exchange market? Evidence from a treatment effect analysis","year":2023,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Credit rating; Endogeneity; Sovereign credit; Economics; Event study; Econometrics; Exchange rate; Monetary economics; Bond credit rating; Credit risk; Actuarial science; Credit default swap; Credit reference","score_opus":0.043635026071092445,"score_gpt":0.2619773647509522,"score_spread":0.21834233867985975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378652762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871672,0.0028195286,0.0019979556,0.00030892465,0.0010077223,0.00038097808,0.0009775584,0.000060575876,0.005279559],"genre_scores_gemma":[0.99477327,0.0011624012,0.00008698685,0.00001605655,0.0017869512,0.00007282177,0.00003751842,0.000044693898,0.0020192866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979767,0.00012927162,0.0008084963,0.0005016267,0.00007017381,0.0005137022],"domain_scores_gemma":[0.9976427,0.00085586886,0.0007838501,0.000544966,0.0000202738,0.0001523672],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018616176,0.00030519106,0.000714736,0.00048821306,0.0006254115,0.00030892278,0.00045910932,0.0001278318,0.0036135754],"category_scores_gemma":[0.0002577265,0.00023604164,0.0008351937,0.0004912432,0.000059257876,0.00031124667,0.00009095091,0.00024758032,0.0033791296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013455862,0.000036368307,0.9685237,0.000009044045,0.0018426019,0.000023507637,0.0040164175,0.004847665,0.000010527416,0.0025000202,0.00322671,0.014828911],"study_design_scores_gemma":[0.0019597893,0.00042936884,0.8702203,0.00009821187,0.00062639354,0.000026701182,0.0017008996,0.047399644,0.000027708413,0.0708309,0.006012944,0.00066711806],"about_ca_topic_score_codex":0.00093233824,"about_ca_topic_score_gemma":0.00037362712,"teacher_disagreement_score":0.09830335,"about_ca_system_score_codex":0.00060313265,"about_ca_system_score_gemma":0.00006695446,"threshold_uncertainty_score":0.9973968},"labels":[],"label_agreement":null},{"id":"W4386929482","doi":"10.1002/soej.12661","title":"The effect of international travel on the spread of <scp>COVID</scp>‐19 in the United States","year":2023,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Outbreak; Pandemic; Quarter (Canadian coin); 2019-20 coronavirus outbreak; China; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Epicenter; Socioeconomics; Demography; Economy; Advertising; Demographic economics; Business; Infectious disease (medical specialty); Medicine; Engineering; Economics; Sociology; Virology; Disease; Archaeology","score_opus":0.12326649080144875,"score_gpt":0.37258624990443173,"score_spread":0.24931975910298299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386929482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941546,0.00006398332,0.00012642327,0.0043371115,0.00021170043,0.0002392033,0.000082993196,0.000014584192,0.0007694284],"genre_scores_gemma":[0.99871695,0.0003181911,0.000017211505,0.00047316033,0.00013690416,0.000020524087,0.000004017971,0.000015906944,0.00029710782],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979973,0.0008325059,0.0006266205,0.00012671466,0.00016414352,0.00025275737],"domain_scores_gemma":[0.9584846,0.04067858,0.000525014,0.00024732627,0.000028648237,0.000035867357],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007271782,0.00014558488,0.00031229018,0.00010855432,0.00020533889,0.00003870963,0.0008298716,0.000052862608,0.00005018791],"category_scores_gemma":[0.0090966225,0.000058806843,0.00019358014,0.00014496317,0.00022682792,0.000024506842,0.00011076413,0.00040565743,0.00010304287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049572083,0.00021668788,0.70989126,0.00019355009,0.002058637,0.00004644184,0.091085024,0.030794563,0.00031383586,0.07083881,0.08912697,0.0049385168],"study_design_scores_gemma":[0.0032618947,0.0010914456,0.10278628,0.0002623212,0.00015750059,0.00006869801,0.095621705,0.018753352,0.0004432684,0.7467281,0.030604826,0.0002205804],"about_ca_topic_score_codex":0.00025499906,"about_ca_topic_score_gemma":0.00017280059,"teacher_disagreement_score":0.6758893,"about_ca_system_score_codex":0.00015157404,"about_ca_system_score_gemma":0.000045051827,"threshold_uncertainty_score":0.9992502},"labels":[],"label_agreement":null},{"id":"W4388852195","doi":"10.1002/soej.12671","title":"Can geography explain Quebec's historical poverty?","year":2023,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poverty; Explanatory power; Standard of living; Agriculture; Test (biology); Development economics; Geography; Power (physics); Land Values; Economics; Economic growth; Political science; Land use; Archaeology; Law; Ecology","score_opus":0.025629203712466724,"score_gpt":0.19658113502989402,"score_spread":0.1709519313174273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388852195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8316931,0.0075406483,0.0012921264,0.029448198,0.015107508,0.00042110507,0.0009853593,0.00056256837,0.11294937],"genre_scores_gemma":[0.9427889,0.001076994,0.00012871546,0.0012512667,0.0025238073,0.00003445886,0.00002199293,0.0001158317,0.052058034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978648,0.000030266723,0.0009921384,0.00042695072,0.0000375891,0.00064829784],"domain_scores_gemma":[0.9988372,0.00007244209,0.0005388383,0.00024538656,0.000018488221,0.00028765033],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008469629,0.00024381749,0.00067689817,0.00042639277,0.00061435363,0.00014044903,0.0004037393,0.00016349409,0.0015307644],"category_scores_gemma":[0.00007603218,0.00028018098,0.00048776748,0.00017801575,0.000080240476,0.00018776309,0.00008998235,0.0003957909,0.013135337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007433233,0.00014218147,0.3139792,0.000025105674,0.00084714725,0.000109523135,0.018114844,0.00060619274,0.0000064489946,0.17427272,0.48258543,0.009236869],"study_design_scores_gemma":[0.0008599526,0.000054650576,0.010341989,0.000007623241,0.00001181283,0.000023913766,0.0020904995,0.000310991,9.880733e-7,0.099497095,0.88625544,0.0005450217],"about_ca_topic_score_codex":0.011440823,"about_ca_topic_score_gemma":0.0029838197,"teacher_disagreement_score":0.40367,"about_ca_system_score_codex":0.0034570214,"about_ca_system_score_gemma":0.000087207576,"threshold_uncertainty_score":0.999965},"labels":[],"label_agreement":null},{"id":"W4391946752","doi":"10.1002/soej.12684","title":"Economic fluctuations and mortality in Canada revisited","year":2024,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Demographic economics; Economics; Panel data; Mortality rate; Demography; Aggregate data; Econometrics; Medicine","score_opus":0.03509567568643847,"score_gpt":0.3532821609427389,"score_spread":0.31818648525630044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391946752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988988,0.0014215058,0.000009669257,0.0028080416,0.0014140597,0.00015335761,0.00016776586,0.000019737912,0.0050178654],"genre_scores_gemma":[0.9973158,0.00038688083,0.000009096042,0.00023857434,0.0006050767,0.000012013619,0.000006017221,0.000018353165,0.0014081693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988869,0.00011779591,0.000506517,0.00016407816,0.0000382042,0.00028654086],"domain_scores_gemma":[0.9995423,0.00016004809,0.00009590615,0.00009927663,0.000010408079,0.000092061215],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055491144,0.00010439946,0.00020805495,0.000087224864,0.00034187347,0.00003247876,0.00007984261,0.00004189937,0.0018912136],"category_scores_gemma":[0.000015186628,0.00009176029,0.00003655223,0.000024106017,0.000024162648,0.00011293739,0.000051860086,0.0004460002,0.00052347884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005122004,0.0000016547501,0.98546976,0.000037514947,0.000092197464,0.000016498083,0.0033054654,0.000052271396,0.000004003661,0.0015105084,0.007720582,0.0017844039],"study_design_scores_gemma":[0.0007783745,0.000017504202,0.90993416,0.0003704379,0.000059868064,0.000029725465,0.020890083,0.0019991952,0.000001236411,0.012988092,0.052628137,0.0003031656],"about_ca_topic_score_codex":0.5973215,"about_ca_topic_score_gemma":0.9625505,"teacher_disagreement_score":0.365229,"about_ca_system_score_codex":0.00165051,"about_ca_system_score_gemma":0.0019510372,"threshold_uncertainty_score":0.9990212},"labels":[],"label_agreement":null},{"id":"W4403503370","doi":"10.1002/soej.12736","title":"The paradox of transfers: Distribution and the <scp>Dutch</scp> disease","year":2024,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distribution (mathematics); Economics; Mathematics","score_opus":0.007812449871430601,"score_gpt":0.2453941521176401,"score_spread":0.2375817022462095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403503370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852098,0.002480174,0.0015329671,0.007996971,0.0006115118,0.0001361374,0.00026396842,0.000019516132,0.0017489578],"genre_scores_gemma":[0.9956481,0.002164707,0.0000028496477,0.000046340752,0.00029049406,0.0000028329328,0.0000035038167,0.0000056965823,0.00183551],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931335,0.0001823127,0.0001969838,0.00007437188,0.000087496344,0.00014545914],"domain_scores_gemma":[0.99938244,0.00036637488,0.000057702557,0.000071189446,0.00002026001,0.000102027116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013351416,0.00005513029,0.00007706091,0.000013160225,0.00058063195,0.0003604713,0.00015631274,0.000029458268,0.000049849397],"category_scores_gemma":[0.00010510068,0.000030016286,0.00009801479,0.000042402557,0.00046749788,0.00009869108,0.000007839556,0.00015401095,0.000041270665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041939125,0.000014022285,0.0032484233,0.000012601627,0.00013352027,0.000004725265,0.13525708,0.0002929144,0.0000060621696,0.8354611,0.003625718,0.021901898],"study_design_scores_gemma":[0.0012778577,0.000036921247,0.0027569623,0.00007306249,0.0001741423,0.000019488027,0.2009232,0.026661722,0.000005264936,0.15785645,0.61012185,0.000093092895],"about_ca_topic_score_codex":0.00012278713,"about_ca_topic_score_gemma":0.002081925,"teacher_disagreement_score":0.6776047,"about_ca_system_score_codex":0.0000641746,"about_ca_system_score_gemma":0.0002307728,"threshold_uncertainty_score":0.44658104},"labels":[],"label_agreement":null}]}