{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":131,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":131,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"fb1d34217812","filters":{"venue":"Munich Personal RePEc Archive (Munich University)"}},"results":[{"id":"W2122883573","doi":"","title":"Seeking Sustainability: COSA preliminary analysis of sustainability initiatives in the coffee sector","year":2008,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian AIDS Treatment Information Exchange; International Institute for Sustainable Development","funders":"Direktoratet for Utviklingssamarbeid; FP7 International Cooperation; Centre de Coopération Internationale en Recherche Agronomique pour le Développement; United States Agency for International Development","keywords":"Sustainability; Vetting; Popularity; Business; Sustainability organizations; Social sustainability; Environmental economics; Environmental resource management; Public economics; Environmental planning; Economics; Political science","authors":[{"name":"Daniele Giovannucci","is_ca":false},{"name":"Jason Potts","is_ca":true},{"name":"Bernard Killian","is_ca":false},{"name":"C. Wunderlich","is_ca":false},{"name":"S. Schuller","is_ca":false},{"name":"Gabriela Soto","is_ca":true},{"name":"Kira Schroeder","is_ca":false},{"name":"Isabelle Vagneron","is_ca":false},{"name":"Fabrice Pinard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02333092300148288,"gpt":0.2428124808315824,"spread":0.2194815578300995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001163317,0.0003917256,0.0007654243,0.001634762,0.0009594387,0.00008404974,0.001273261,0.0001475675,0.00007857242],"category_scores_gemma":[0.002075814,0.0003710075,0.0006654469,0.005339154,0.001424627,0.001440348,0.0007467453,0.0006283269,0.000002153201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008468493,"about_ca_system_score_gemma":0.0007868489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050951,"about_ca_topic_score_gemma":0.00424416,"domain_scores_codex":[0.9967577,0.0006205541,0.0004859286,0.0006611193,0.0006821179,0.0007925478],"domain_scores_gemma":[0.9965274,0.001075345,0.0003875187,0.0008731044,0.001078181,0.00005844821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001333233,0.00172602,0.8199898,0.0007914376,0.001008061,0.0009525262,0.07000905,0.001409003,0.00001644791,0.1018871,0.0001773718,0.0006999303],"study_design_scores_gemma":[0.0009220617,0.0001327537,0.6943565,0.00003094852,0.0008473242,0.000005123989,0.2814736,0.005486178,0.000001596576,0.00698325,0.009338772,0.0004219454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459726,0.00009137633,0.0002322338,0.001183356,0.00004845326,0.000961294,0.00006496,0.00008098386,0.05136475],"genre_scores_gemma":[0.9990119,0.00007593269,0.00005132176,0.0003145416,0.0001143267,0.000006012772,0.0001226231,0.0000216817,0.0002816945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2114645,"threshold_uncertainty_score":0.9998742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041112123","doi":"","title":"Efficiency of Healthcare Systems in the first wave of COVID-19 - a technical efficiency analysis","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Global Health Care Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Coronavirus disease 2019 (COVID-19); Sample (material); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Flattening; Outbreak; Econometrics; Economics; Virology; Statistics; Medicine; Mathematics; Engineering","authors":[{"name":"Marthinus C. Breitenbach","is_ca":false},{"name":"Victor Ngobeni","is_ca":false},{"name":"Goodness C. Aye","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07595530921599329,"gpt":0.3645625937500308,"spread":0.2886072845340375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001552809,0.0003072796,0.001013697,0.0009504543,0.0009273689,0.000007273625,0.001660845,0.0002704835,0.0000959512],"category_scores_gemma":[0.001498545,0.0002663387,0.000406195,0.005348232,0.0006171425,0.0001107645,0.0008009265,0.001340499,0.00002138769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007018086,"about_ca_system_score_gemma":0.001851104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02432155,"about_ca_topic_score_gemma":0.02002037,"domain_scores_codex":[0.993831,0.002665329,0.001024317,0.0006761781,0.0009649122,0.0008382165],"domain_scores_gemma":[0.994033,0.003311913,0.0007393645,0.0009733578,0.0003700673,0.0005723028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003626847,0.002015462,0.2306046,0.01323956,0.0008591416,0.001359233,0.5546494,0.005862344,0.0005544665,0.1789838,0.007910955,0.0003341661],"study_design_scores_gemma":[0.005988508,0.002924688,0.07958537,0.00163692,0.001186769,0.00003740823,0.4950501,0.05536217,0.00001361027,0.0002911909,0.3567759,0.00114736],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749563,0.004560546,0.005283181,0.05037336,0.0003587294,0.005964015,0.00184633,0.0003320001,0.05632553],"genre_scores_gemma":[0.9973797,0.000444717,0.0003605045,0.001486886,0.00005369577,0.00001086672,0.00007045014,0.00001949,0.0001737264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3488649,"threshold_uncertainty_score":0.9999789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2100581723","doi":"","title":"Condorcet admissibility: Indeterminacy and path-dependence under majority voting on interconnected decisions","year":2011,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trent University","funders":"","keywords":"Condorcet method; Judgement; Social choice theory; Set (abstract data type); Majority rule; Indeterminacy (philosophy); Voting; Mathematical economics; Approval voting; Path (computing); Scope (computer science); Choice set; Computer science; Mathematics; Econometrics; Artificial intelligence; Epistemology; Political science; Law","authors":[{"name":"Klaus Nehring","is_ca":false},{"name":"Marcus Pivato","is_ca":true},{"name":"Clemens Puppe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07801215494727368,"gpt":0.2198154879708742,"spread":0.1418033330236006,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009094903,0.0003045744,0.0005333244,0.0005561943,0.0005068367,0.00005774142,0.0007548148,0.0001580879,0.0004376745],"category_scores_gemma":[0.0007705897,0.0003607818,0.0001853981,0.0003604104,0.0003428221,0.0003734607,0.0005678087,0.0006327086,0.000139321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663839,"about_ca_system_score_gemma":0.00006510918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009168967,"about_ca_topic_score_gemma":0.0004538639,"domain_scores_codex":[0.9978377,0.000277254,0.0004681537,0.0008464974,0.00009530156,0.0004751015],"domain_scores_gemma":[0.9977176,0.0008517896,0.0003673062,0.000685974,0.00006609661,0.000311233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005764031,0.0003907587,0.06975573,0.00005499723,0.0002001984,0.0002317363,0.01535591,0.000007930841,0.0001809557,0.9107161,0.0000689978,0.002460266],"study_design_scores_gemma":[0.01260512,0.003931053,0.5075142,0.002462596,0.0002634632,0.0005740009,0.06048156,0.03561543,0.0007007753,0.3174822,0.05318293,0.005186633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059323,0.0001611902,0.002627286,0.0000740351,0.0001750862,0.0002708178,0.0001981787,0.00009884553,0.09046225],"genre_scores_gemma":[0.9942362,0.0001098467,0.001143951,0.0001394878,0.00004237359,0.000001966675,0.0000176808,0.00002961388,0.00427891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5932339,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119771056","doi":"","title":"Incentives and the Limits to Deflationary Policy","year":2007,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Deflation; Incentive; Economics; Friedman rule; Inflation (cosmology); Monetary policy; Wright; Microeconomics; Monetary economics; Production (economics); Computer science","authors":[{"name":"David Andolfatto","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0319466408043052,"gpt":0.2250050070422992,"spread":0.193058366237994,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000901499,0.0003854379,0.0007239294,0.001087991,0.0005385121,0.000117185,0.001142371,0.0002331459,0.0001016594],"category_scores_gemma":[0.0002488221,0.0004171344,0.0003413471,0.0003361235,0.0006953877,0.0002029157,0.002809169,0.0008456839,0.00009744892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987801,"about_ca_system_score_gemma":0.0002145389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260048,"about_ca_topic_score_gemma":0.0006300593,"domain_scores_codex":[0.9978851,0.0001251674,0.000500689,0.0009011765,0.00007016044,0.0005176742],"domain_scores_gemma":[0.9977308,0.0005922407,0.0004528087,0.0008831936,0.00006751194,0.0002734667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004436202,0.00005020921,0.001803037,0.00004059455,0.0002467117,0.00002068781,0.009797368,0.0004220757,0.000002911265,0.9853353,0.0002797445,0.001557777],"study_design_scores_gemma":[0.002904992,0.0001100475,0.01224161,0.0001812616,0.00006785408,0.00002274804,0.003853546,0.01004906,0.000007659505,0.4301004,0.5393488,0.001112044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3616546,0.004209068,0.01235101,0.008732085,0.0005560204,0.001377177,0.001879897,0.0001184892,0.6091216],"genre_scores_gemma":[0.9671019,0.005972173,0.003603968,0.0009462348,0.0003804777,0.000007980703,0.0001430046,0.00005994804,0.0217843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6054473,"threshold_uncertainty_score":0.999828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1765354750","doi":"","title":"A New Prescription: Can the BC-Alberta TILMA Resuscitate Internal Trade in Canada?","year":2007,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"International trade; Free trade; Medical prescription; Productivity; Liberalization; Business; Economics; Political science; Economic growth; Medicine; Law","authors":[{"name":"Kathleen Macmillan","is_ca":false},{"name":"Patrick Grady","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01340820303838557,"gpt":0.2205109881735757,"spread":0.2071027851351901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004781111,0.0001784157,0.0001915835,0.0002245069,0.0007161416,0.00005126977,0.001245451,0.00006691029,0.0002064686],"category_scores_gemma":[0.0002612417,0.0001820238,0.0001124873,0.0007713594,0.0003816901,0.0002204756,0.0001825622,0.0005740882,0.000006700628],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189056,"about_ca_system_score_gemma":0.005957959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999433,"about_ca_topic_score_gemma":0.9999802,"domain_scores_codex":[0.9977843,0.0003370503,0.0002086346,0.0003432982,0.0005477642,0.000778982],"domain_scores_gemma":[0.9982266,0.0007158502,0.000131277,0.0003737389,0.0000310094,0.0005214964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001024158,0.0001029847,0.04438305,0.00002849401,0.0002081775,0.002150431,0.285404,0.00007565542,0.0001526886,0.354893,0.2806477,0.03092973],"study_design_scores_gemma":[0.0005224691,0.00002568669,0.08674207,0.00006541162,0.00001533599,0.000008970386,0.01623826,0.000122126,0.000009772231,0.0004513158,0.8955842,0.0002143806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.306613,0.0002549334,0.0001934477,0.06459858,0.0005202092,0.0005893111,0.000315722,0.00003956406,0.6268752],"genre_scores_gemma":[0.8775283,0.0002856541,0.000156477,0.001622407,0.0002660599,6.241942e-7,0.000008772897,0.00001513751,0.1201166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6149365,"threshold_uncertainty_score":0.9996774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023525417","doi":"","title":"A study on thermodynamic potential energy for magnetostrictive system","year":2005,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Futures contract; Spot contract; Economics; Maturity (psychological); Spot market; Financial economics; Normal backwardation; Forward market; Neutrality; Futures market; Risk premium; Econometrics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01407868504103784,"gpt":0.1760416909551142,"spread":0.1619630059140764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002848215,0.0003214492,0.0005163626,0.0005943578,0.0004555866,0.00006477213,0.0007706738,0.0001235857,0.00006103732],"category_scores_gemma":[0.00003032957,0.0003656458,0.0003646637,0.0002716503,0.00008424801,0.0003177368,0.0002631651,0.0002618985,0.0001017325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005182484,"about_ca_system_score_gemma":0.00004852895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000318542,"about_ca_topic_score_gemma":0.0006055292,"domain_scores_codex":[0.9981968,0.00008152967,0.0003949061,0.0007788037,0.00007014566,0.0004777499],"domain_scores_gemma":[0.9986937,0.0001953769,0.0003353402,0.000533423,0.00006619271,0.0001759563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001340043,0.001731967,0.002246425,0.00004252208,0.001050601,0.0001463635,0.00543821,0.0004687539,0.0001968615,0.9811904,0.001780813,0.004367068],"study_design_scores_gemma":[0.01873732,0.008436604,0.06481955,0.0002338518,0.0004443992,0.0001365084,0.06340273,0.102218,0.00009108713,0.01015632,0.7274383,0.003885303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5965394,0.0005295459,0.003948674,0.0005426703,0.0002776702,0.0008916413,0.000997775,0.0001544013,0.3961182],"genre_scores_gemma":[0.9897351,0.000151585,0.0007282817,0.0001199636,0.0002385163,0.00001538887,0.00008826652,0.00003727647,0.008885656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.971034,"threshold_uncertainty_score":0.9998795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3085620503","doi":"","title":"Renewable Energy Consumption, Income, CO2 Emissions and Oil Prices in G7 Countries: The Importance of Asymmetries","year":2018,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Consumption (sociology); Renewable energy; Natural resource economics; Oil consumption; Monetary economics","authors":[{"name":"Muhammad Shahbaz","is_ca":false},{"name":"Amine Lahiani","is_ca":false},{"name":"Avik Sinha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01938942022903407,"gpt":0.1999592754159832,"spread":0.1805698551869491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008477293,0.0004592885,0.0009607295,0.00106394,0.0003985741,0.00007709333,0.001423523,0.0003368336,0.0004674628],"category_scores_gemma":[0.0002599639,0.000515184,0.0002231807,0.0003985762,0.00150095,0.0002926006,0.002605722,0.0006440525,0.00002193672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307053,"about_ca_system_score_gemma":0.0002274104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007275041,"about_ca_topic_score_gemma":0.01134383,"domain_scores_codex":[0.9972357,0.0001280214,0.0009233935,0.001080056,0.0001225005,0.0005102908],"domain_scores_gemma":[0.996302,0.0006830879,0.001451818,0.001311802,0.00005905978,0.0001922152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002150641,0.000226443,0.7554097,0.0004078765,0.0005242647,0.00004555085,0.003987578,0.00130728,0.00002194637,0.2363316,0.001338682,0.0001840712],"study_design_scores_gemma":[0.002847484,0.000247969,0.1985208,0.0009282487,0.0001374652,0.00002783236,0.00316938,0.00887599,0.0001827935,0.05453432,0.7287008,0.001826881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432175,0.008408328,0.0008701152,0.0007277546,0.0002913418,0.0002357835,0.00163451,0.00005200748,0.1445627],"genre_scores_gemma":[0.9153525,0.0643624,0.002750084,0.0002666826,0.0001205649,0.00001792511,0.0002454935,0.00008276737,0.01680158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7273622,"threshold_uncertainty_score":0.99973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1824943061","doi":"","title":"Vulnerability to asset-poverty in Sub-Saharan Africa","year":2011,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Poverty; Asset (computer security); Proxy (statistics); Economics; Consumption (sociology); Vulnerability (computing); Standard deviation; Econometrics; Economic growth; Statistics; Mathematics","authors":[{"name":"Damien Échevin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02988643933408321,"gpt":0.2104214243954388,"spread":0.1805349850613556,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004559327,0.0006279104,0.0007287084,0.0001659714,0.0005481013,0.00008596029,0.002422106,0.0004631332,0.0004020557],"category_scores_gemma":[0.0002424483,0.0002943754,0.0004996546,0.001063884,0.0002917807,0.000232226,0.003542247,0.001736551,0.0001302374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003947257,"about_ca_system_score_gemma":0.0001213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00650816,"about_ca_topic_score_gemma":0.02880801,"domain_scores_codex":[0.995845,0.0007558388,0.0004215937,0.001467829,0.0005874247,0.0009222731],"domain_scores_gemma":[0.9979488,0.0006222875,0.0002444399,0.0004350539,0.0001886503,0.0005607294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007463713,0.008853433,0.1428681,0.0007917025,0.00114585,0.004079186,0.04240767,0.002175266,0.3485816,0.006409905,0.1109441,0.3242794],"study_design_scores_gemma":[0.0006058394,0.0006480916,0.6387848,0.00055736,0.0001017218,0.00002238511,0.002762617,0.0005114802,0.0009036056,0.002961244,0.35024,0.001900797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954742,0.0005187877,0.00001513802,0.0008771627,0.0002165799,0.0009255267,0.0006163064,0.0001479752,0.0419405],"genre_scores_gemma":[0.9899165,0.002933092,0.0006559775,0.0001816359,0.0001893465,0.00001412148,0.0003365221,0.000005193332,0.005767618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4959167,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W155886404","doi":"","title":"Impact of the Exchange Rate Regime Change on the Value of Bangladesh Currency a","year":2009,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Exchange rate; Currency; Exchange-rate regime; Economics; Liberian dollar; Value (mathematics); Order (exchange); Context (archaeology); Monetary economics; Floating exchange rate; International economics; Geography; Mathematics; Finance; Statistics","authors":[{"name":"Asad Karim Khan Priyo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07855242005155054,"gpt":0.2292664809122036,"spread":0.150714060860653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005313504,0.0002467902,0.0004779902,0.0004054029,0.000259138,0.00001668519,0.001127659,0.0000870083,0.0004929873],"category_scores_gemma":[0.0001423494,0.0001926809,0.0006158522,0.0004747327,0.0002843726,0.0002546454,0.0002200338,0.0003828544,0.00005109653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840299,"about_ca_system_score_gemma":0.00005735695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723868,"about_ca_topic_score_gemma":0.0001003579,"domain_scores_codex":[0.9985902,0.0001918687,0.0003760633,0.000359727,0.00006612975,0.0004159536],"domain_scores_gemma":[0.9980109,0.0002998747,0.0005961765,0.0009570194,0.00002398944,0.0001120261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001079274,0.001239888,0.08372232,0.0001176374,0.001065369,0.00003440111,0.04039824,0.0009795752,0.0004414257,0.8563908,0.007954103,0.006576991],"study_design_scores_gemma":[0.00206113,0.001664774,0.8913088,0.0002686363,0.00007681534,0.0000178078,0.0008608614,0.02358887,0.0001396045,0.02221807,0.05707265,0.0007219875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246113,0.0005481281,0.00003287445,0.001879246,0.0001031482,0.000393279,0.0008192586,0.00001586103,0.07159685],"genre_scores_gemma":[0.9959746,0.0008665998,0.00005882782,0.0003176334,0.00008877427,0.000001595778,0.00001811839,0.0000149584,0.00265887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8341727,"threshold_uncertainty_score":0.78573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2995953263","doi":"","title":"Strategic Reneging in Sequential Imperfect Markets","year":2019,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Electric Power System Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"HEC Montréal; Labex Ecodec; Agence Nationale de la Recherche","keywords":"Procurement; Incentive; Imperfect; Revenue; Electricity; Economics; Microeconomics; Industrial organization; Electricity market; Business; Marketing; Finance; Engineering","authors":[{"name":"David Benatia","is_ca":false},{"name":"Étienne Billette de Villemeur","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007714837442599651,"gpt":0.1772403354481567,"spread":0.1695254980055571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002695692,0.0002757234,0.0003191058,0.0007934654,0.0001018744,0.000044284,0.0005491639,0.0001228369,0.0002356498],"category_scores_gemma":[0.00001912854,0.0003430909,0.0001337211,0.0009068578,0.00005262977,0.0003686583,0.0001694777,0.0005077283,0.00008394034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000517394,"about_ca_system_score_gemma":0.0001428103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002001141,"about_ca_topic_score_gemma":0.000497968,"domain_scores_codex":[0.998281,0.0002650624,0.0002278368,0.0003997508,0.0002762033,0.0005501304],"domain_scores_gemma":[0.9990865,0.0001882774,0.00006238592,0.0004845756,0.00004575229,0.0001325271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002592354,0.001008641,0.1095963,0.00263984,0.002526738,0.00531415,0.03960399,0.5322822,0.2044899,0.08017906,0.003439736,0.01632712],"study_design_scores_gemma":[0.003261969,0.0002178021,0.005153608,0.0004479724,0.00006860706,0.0001175835,0.003184689,0.9672898,0.0006519087,0.0003429915,0.01808756,0.0011755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7398974,0.0002443847,0.001268691,0.00002557865,0.0002495276,0.000343722,0.00002007738,0.0002591952,0.2576914],"genre_scores_gemma":[0.9949874,0.0004030457,0.0009132412,0.00001323351,0.00003907234,0.000001680532,0.00005972689,0.00005006513,0.003532505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4350076,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152615446","doi":"10.22004/ag.econ.273622","title":"Banking, Inside Money and Outside Money","year":2007,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Debt; Monetary economics; Settlement (finance); Demand deposit; Private information retrieval; Economics; Open market operation; Fiat money; Incentive; Financial transaction; Endogenous money; Information asymmetry; Medium of exchange; Business; Microeconomics; Finance; Monetary policy; Currency; Payment; Database transaction","authors":[{"name":"Hongfei Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0322597089185001,"gpt":0.207042309810778,"spread":0.1747826008922779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008546276,0.0006684512,0.00120191,0.001341742,0.0005057713,0.0001724504,0.001305862,0.0005345576,0.0003815334],"category_scores_gemma":[0.0001382617,0.0009310308,0.0004964904,0.0002479739,0.000567539,0.000361954,0.00376813,0.001622992,0.0001347661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005224297,"about_ca_system_score_gemma":0.0001962341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004351926,"about_ca_topic_score_gemma":0.001480644,"domain_scores_codex":[0.996591,0.00009997031,0.0008108323,0.001552446,0.0001009538,0.0008448162],"domain_scores_gemma":[0.9969327,0.000330397,0.0008437356,0.001366342,0.00008133544,0.0004454708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000308149,0.0001995208,0.01144867,0.0002220655,0.0007752582,0.0003239565,0.011207,0.0008988208,0.00002525552,0.9709389,0.00123637,0.002416034],"study_design_scores_gemma":[0.002444508,0.0002142988,0.007374869,0.0003844095,0.0001504833,0.00006393687,0.003816354,0.02483401,0.00004089389,0.3315321,0.6267386,0.002405583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4712749,0.004859956,0.008676606,0.000669376,0.000759125,0.0006981257,0.00196654,0.0001976597,0.5108978],"genre_scores_gemma":[0.956854,0.009915975,0.008051873,0.00045705,0.0003077315,0.000006137267,0.0003424691,0.000135343,0.02392944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6394069,"threshold_uncertainty_score":0.999314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3040611745","doi":"","title":"The first 100 days of COVID-19 coronavirus – How efficient did country health systems perform to flatten the curve in the first wave?","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Data envelopment analysis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sample (material); 2019-20 coronavirus outbreak; Outbreak; Flattening; Coronavirus; Econometrics; Business; Economics; Geography; Virology; Statistics; Medicine; Mathematics; Engineering","authors":[{"name":"Marthinus C. Breitenbach","is_ca":false},{"name":"Victor Ngobeni","is_ca":false},{"name":"Goodness Ayte","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.195991687594619,"gpt":0.3475935346343456,"spread":0.1516018470397265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002987093,0.000436938,0.0008175354,0.0001452755,0.002722139,0.00008935488,0.002509805,0.00010839,0.00002469677],"category_scores_gemma":[0.005681435,0.0002478917,0.0003114358,0.001173489,0.0009332912,0.00008405696,0.001825944,0.0009539482,0.00001465714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009287405,"about_ca_system_score_gemma":0.0005011712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004524468,"about_ca_topic_score_gemma":0.01882971,"domain_scores_codex":[0.9956904,0.001337479,0.0005770599,0.0006829179,0.0008739355,0.0008381926],"domain_scores_gemma":[0.9802207,0.0175998,0.0005187736,0.001156869,0.0001293075,0.0003745506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003538235,0.00141592,0.05392393,0.003568451,0.001376757,0.0006834145,0.4340014,0.01532139,0.00005044271,0.3418682,0.1420035,0.00224834],"study_design_scores_gemma":[0.001007524,0.0005809111,0.009723064,0.0001889832,0.0000820342,0.00002123713,0.05412028,0.02526233,0.000001475204,0.000580135,0.9080621,0.0003699313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4107445,0.003889949,0.003331594,0.5603237,0.0004508796,0.006517149,0.001161811,0.000301668,0.01327875],"genre_scores_gemma":[0.9883988,0.00145153,0.0002158602,0.009165329,0.0001619057,0.00003133106,0.00002373719,0.0000365861,0.0005149048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7660586,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2170793481","doi":"","title":"Options backdating: a Canadian perspective","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary; Western University; University of Manitoba","funders":"","keywords":"Stock options; Business; Perspective (graphical); Actuarial science; Finance; Computer science","authors":[{"name":"Ryan A. Compton","is_ca":true},{"name":"Daniel Sandler","is_ca":true},{"name":"Lindsay M. Tedds","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01264709192096593,"gpt":0.190124310164561,"spread":0.1774772182435951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001968882,0.0002567185,0.0002214962,0.0006741739,0.0009001141,0.0001465874,0.000846751,0.0001016814,0.0007806186],"category_scores_gemma":[0.0001931047,0.0002995967,0.0001752532,0.001001871,0.0002700598,0.001197094,0.0003224335,0.0007368894,0.0004074588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065355,"about_ca_system_score_gemma":0.0004442938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2784025,"about_ca_topic_score_gemma":0.6860075,"domain_scores_codex":[0.9985042,0.00002557231,0.0001466733,0.0005083884,0.000263448,0.0005517327],"domain_scores_gemma":[0.9987373,0.00007796186,0.0001979929,0.0005451313,0.000347418,0.00009419919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001062219,0.0001559905,0.03740673,0.00002938208,0.00009110237,0.00046052,0.001146266,0.00004522954,0.00178783,0.9482812,0.008996126,0.001493406],"study_design_scores_gemma":[0.0008259034,0.00002190235,0.0705881,0.00004984831,0.00007210363,0.00001685281,0.004457552,0.004372613,0.000008031316,0.004574723,0.9144858,0.0005266129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5071826,0.00004756884,0.0002571355,0.003292762,0.0003922235,0.0003031822,0.0001472426,0.0001512219,0.4882261],"genre_scores_gemma":[0.9877608,0.00006000681,0.001037113,0.0008666111,0.0005722959,0.000002403127,0.00007600211,0.00003392614,0.009590823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437065,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1801821070","doi":"","title":"Multidimensional Poverty in Indonesia: Trends, Interventions and Lesson Learned","year":2008,"lang":"en","type":"book","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Poverty; Sanitation; Vulnerability (computing); Basic needs; Millennium Development Goals; Economic growth; Population; Quarter (Canadian coin); Poverty threshold; Consumption (sociology); Chronic poverty; Indonesian; Development economics; Malnutrition; Government (linguistics); Psychological intervention; Socioeconomics; Geography; Economics; Environmental health; Medicine; Poverty reduction; Sociology","authors":[{"name":"Sudarno Sumarto","is_ca":false},{"name":"Wenefrida Widyanti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03338902050342627,"gpt":0.2751201289390008,"spread":0.2417311084355746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003824491,0.0004299873,0.0005857407,0.001336795,0.001688347,0.00004847728,0.0007873577,0.0004490125,0.000432891],"category_scores_gemma":[0.0001261515,0.0005112226,0.0004803872,0.0005341924,0.001032684,0.0004276089,0.0003929815,0.001165758,0.00002840374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009789868,"about_ca_system_score_gemma":0.002219834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00675746,"about_ca_topic_score_gemma":0.07357843,"domain_scores_codex":[0.9967886,0.0007676983,0.0003562513,0.0008024453,0.0006748546,0.0006101648],"domain_scores_gemma":[0.998112,0.0005703471,0.0003150192,0.0004696334,0.0001608781,0.0003721719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001042986,0.00250573,0.02620072,0.0004856181,0.001135921,0.001463983,0.2646801,0.00002866458,0.00002561458,0.4872907,0.160966,0.05417403],"study_design_scores_gemma":[0.001290972,0.00008235416,0.01936535,0.0006348604,0.0001080382,0.00002053745,0.007564949,0.00007124813,5.948656e-7,0.001145094,0.9691347,0.0005813314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01324553,0.003260043,0.00002417949,0.002950538,0.000330153,0.000406359,0.0003782461,0.0001169313,0.979288],"genre_scores_gemma":[0.0148394,0.02888196,0.0004893066,0.0001855664,0.0002659124,0.000002891288,0.0006424609,0.00005303312,0.9546394],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8081687,"threshold_uncertainty_score":0.9998567,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1650277746","doi":"","title":"Can payments for watershed services help save biodiversity? A spatial analysis of highland Guatemala","year":2009,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"International Fine Particle Research Institute","keywords":"Biodiversity; Payment; Ecosystem services; Watershed; Quarter (Canadian coin); Biodiversity conservation; Business; Measurement of biodiversity; Environmental resource management; Geography; Work (physics); Direct Payments; Natural resource economics; Environmental planning; Ecology; Ecosystem; Environmental science; Economics; Finance","authors":[{"name":"Stefano Pagiola","is_ca":false},{"name":"Wei Zhang","is_ca":false},{"name":"Ale Colom","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009887859298113411,"gpt":0.1892282854581847,"spread":0.1793404261600713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002222759,0.0002666341,0.0004173923,0.0006336622,0.0006382298,0.00003573409,0.0009098392,0.00008674859,0.0005034126],"category_scores_gemma":[0.00001598661,0.0002702977,0.000404249,0.001009195,0.0003044175,0.0001914807,0.0007434144,0.0001298892,0.00002436053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765609,"about_ca_system_score_gemma":0.00002625113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008739588,"about_ca_topic_score_gemma":0.01150882,"domain_scores_codex":[0.9981002,0.0001570729,0.000228595,0.0005908225,0.0004912214,0.0004321081],"domain_scores_gemma":[0.9988921,0.0001295121,0.0002345771,0.0004890599,0.00005537856,0.0001994057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006583305,0.0004178083,0.9771311,0.00005831024,0.001315233,0.00006533208,0.01334202,0.0008045812,0.001926771,0.00008478294,0.0004922386,0.003703463],"study_design_scores_gemma":[0.001828976,0.0003884802,0.9135353,0.00002991501,0.001800756,0.000001406232,0.007473104,0.007983015,0.0002191897,0.0000973017,0.06619586,0.0004467268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906272,0.00002118351,0.0003497509,0.001503273,0.00004209454,0.0004666893,0.0005582531,0.00004896953,0.006382567],"genre_scores_gemma":[0.9940614,0.0001465929,0.0008894842,0.0003697205,0.00001813329,8.895313e-7,0.0005947545,0.000006098531,0.003912891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06570362,"threshold_uncertainty_score":0.9999749,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000565167","doi":"","title":"Is PMI a good leading indicator of industrial production?: Evidence from India","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Industrial production index; Production (economics); Industrial production; Index (typography); Purchasing; Business; Economic indicator; Lead (geology); Industrial policy; Industrial organization; Economics; Operations management; Macroeconomics; International trade; Computer science","authors":[{"name":"Snehal Herwadkar","is_ca":false},{"name":"Saurabh Ghosh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1372735568037989,"gpt":0.216729339069317,"spread":0.07945578226551811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002380432,0.0002419128,0.0005929342,0.0003717257,0.0002092553,0.00004164834,0.0009577218,0.0001720445,0.0006258007],"category_scores_gemma":[0.0003746097,0.000332365,0.000273581,0.0005959873,0.0002445876,0.0006262556,0.0004357923,0.0005482145,0.0004128511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909987,"about_ca_system_score_gemma":0.0001517969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009085582,"about_ca_topic_score_gemma":0.00007535445,"domain_scores_codex":[0.9981686,0.00006695851,0.000507715,0.0007889261,0.00009065565,0.0003770984],"domain_scores_gemma":[0.998441,0.0001929525,0.0005523447,0.0004904625,0.00003402767,0.0002892081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008168275,0.0003390513,0.8838778,0.00009872265,0.001024312,0.00008637049,0.04034558,0.0001549289,0.001169567,0.06185808,0.008332495,0.001896287],"study_design_scores_gemma":[0.006164791,0.001339599,0.1105937,0.0007659863,0.000298541,0.00002364214,0.01434341,0.007206709,0.003748975,0.01076987,0.8421066,0.002638174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656508,0.0008238195,0.0002075431,0.003454391,0.0002634397,0.0002985479,0.001123461,0.00005758553,0.02812043],"genre_scores_gemma":[0.9961671,0.001058944,0.001201072,0.000360064,0.0002745439,0.00000143451,0.00004956471,0.0000256353,0.0008616156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8337741,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3091835312","doi":"","title":"Portfolio diversification opportunities for U.S. Islamic investors with its trading partners when the world catches a cold: A Multivariate-GARCH and wavelet approach","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Financial economics; Portfolio; Index (typography); China; Economics; Islam; Multivariate statistics; Autoregressive conditional heteroskedasticity; Business; Geography; Volatility (finance)","authors":[{"name":"Siok Jin Lim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1194044009376042,"gpt":0.2282982305689799,"spread":0.1088938296313756,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005108619,0.0002640055,0.0004121971,0.0003649863,0.0006221707,0.00009030375,0.0005753526,0.00007177718,0.00006911511],"category_scores_gemma":[0.0001037668,0.0002581474,0.0001407366,0.0003922721,0.0003777604,0.0003416,0.0002713836,0.0003461232,0.000001843609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623146,"about_ca_system_score_gemma":0.0001406263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006010791,"about_ca_topic_score_gemma":0.0006133443,"domain_scores_codex":[0.9984557,0.0001128033,0.0003004943,0.0006544373,0.00009465634,0.0003819074],"domain_scores_gemma":[0.9986914,0.0003621268,0.0003166916,0.0003640364,0.00006870484,0.0001970243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001237181,0.0002787864,0.04484076,0.0003725544,0.0007781124,0.00004861526,0.04855137,0.00004082561,0.0001773699,0.8984928,0.003548417,0.001633232],"study_design_scores_gemma":[0.00216648,0.0002839747,0.007112637,0.0000404552,0.000112085,0.000008356958,0.01734442,0.7079703,0.00001543644,0.004568821,0.2596731,0.0007038713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7512684,0.0006373874,0.01754407,0.010087,0.00009390034,0.002165397,0.00195053,0.0001494248,0.2161039],"genre_scores_gemma":[0.984691,0.000280056,0.004544056,0.0004191175,0.00004684199,0.00001496677,0.0001562693,0.00003292735,0.009814737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8939239,"threshold_uncertainty_score":0.9999871,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114475964","doi":"","title":"Causality between Openness and Indigenous Factors among World Economies","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Global Affairs Canada","funders":"","keywords":"Openness to experience; Indigenous; Causality (physics); Index (typography); Economics; Economy; Econometrics; Psychology; Social psychology; Ecology","authors":[{"name":"Xianbo Zhou","is_ca":false},{"name":"Kui‐Wai Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01753651218906971,"gpt":0.1953416679362496,"spread":0.1778051557471799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000232521,0.000320045,0.0003838799,0.0006010985,0.0008077637,0.0002677067,0.0008283294,0.00009520979,0.0002308187],"category_scores_gemma":[0.00005173174,0.000340885,0.0001419134,0.0005523457,0.0005252673,0.001401543,0.0009986165,0.0006014804,0.00004124016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005609011,"about_ca_system_score_gemma":0.00007150185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009964728,"about_ca_topic_score_gemma":0.03315365,"domain_scores_codex":[0.9985206,0.0000508406,0.0001975934,0.0005329389,0.0002073377,0.0004906529],"domain_scores_gemma":[0.9989633,0.0002331993,0.0001920406,0.0004233232,0.0001044695,0.00008369899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000417109,0.00006467222,0.9647236,0.00005535829,0.0001009961,0.00005288702,0.0007683469,0.000003745164,0.0001282582,0.03323334,0.00004182395,0.0007852971],"study_design_scores_gemma":[0.0005289764,0.00001424044,0.8583134,0.00004079147,0.0000977756,0.00000249099,0.004048692,0.00009581544,0.0000350956,0.001079329,0.1353328,0.0004106096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147978,0.0000210269,0.0000342674,0.0001533705,0.0001694555,0.0002483788,0.0000617379,0.0001111792,0.08440283],"genre_scores_gemma":[0.9964689,0.00002522506,0.0001269455,0.0001151,0.0003173233,0.000001520497,0.0001242466,0.00002626779,0.002794485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352909,"threshold_uncertainty_score":0.9999043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109958387","doi":"","title":"Issuance of Wealth Management Products and Expected Yields; A Shadow Banking Perspective","year":2020,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Shadow (psychology); Quarter (Canadian coin); Business; China; Balance sheet; Financial system; Economics; Finance; Monetary economics; Commerce","authors":[{"name":"Syed Mehmood Raza Shah","is_ca":false},{"name":"Qiang Fu","is_ca":false},{"name":"Muhammad Dawood","is_ca":false},{"name":"Muhammad Ishfaq","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02963547155716507,"gpt":0.2251050830820947,"spread":0.1954696115249296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005227937,0.0004987201,0.00100671,0.001018105,0.0003638665,0.0000734972,0.001220354,0.0002379071,0.0001537732],"category_scores_gemma":[0.000340154,0.0006892527,0.0002771991,0.0009640274,0.0005920322,0.0002258256,0.002720243,0.0009960675,0.00001619502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007127213,"about_ca_system_score_gemma":0.0002242428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013118,"about_ca_topic_score_gemma":0.000355641,"domain_scores_codex":[0.99656,0.0001804024,0.000689612,0.001836101,0.0002089176,0.0005249166],"domain_scores_gemma":[0.9971006,0.0002001882,0.001007959,0.001248879,0.0002631307,0.0001792535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002519729,0.0004364531,0.01569848,0.001281499,0.0006420408,0.00008232133,0.03968855,0.0003622769,0.00006048901,0.9401882,0.0002239438,0.001083808],"study_design_scores_gemma":[0.00493103,0.0009767013,0.3430158,0.002220626,0.0005158609,0.00004458433,0.03868648,0.05175243,0.0001417974,0.4925362,0.06098187,0.004196674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539813,0.01414908,0.0118563,0.006921235,0.0008110372,0.003605981,0.001905313,0.000416895,0.3063528],"genre_scores_gemma":[0.9844597,0.002590005,0.01087648,0.00006079639,0.0001037494,0.000007951348,0.00009910215,0.00005782131,0.001744383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.447652,"threshold_uncertainty_score":0.9995559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135479837","doi":"","title":"Testing the impact of unemployment on self-employment: empirical evidence from OECD countries","year":2015,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Argument (complex analysis); Human capital; Empirical evidence; Empirical research; Refugee; Labour economics; Demographic economics; Macroeconomics; Economic growth; Political science","authors":[{"name":"Ferda Halıcıoğlu","is_ca":false},{"name":"Sema Yolaç","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1611018863498185,"gpt":0.2916719918685303,"spread":0.1305701055187118,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009232712,0.000518908,0.000877184,0.0007467148,0.0003505339,0.0001088706,0.001772986,0.0002694207,0.0003022085],"category_scores_gemma":[0.0005726645,0.0004861486,0.0004995201,0.000568231,0.0004031709,0.0002316573,0.001878037,0.001236357,0.0001818757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121025,"about_ca_system_score_gemma":0.000760139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104642,"about_ca_topic_score_gemma":0.0002368941,"domain_scores_codex":[0.9972742,0.0002392861,0.0007665125,0.0009544428,0.0002759995,0.0004895952],"domain_scores_gemma":[0.9955049,0.001467514,0.001131673,0.001373843,0.0003161707,0.0002059313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001214919,0.001414167,0.8550808,0.0002449852,0.003148639,0.0001791669,0.03718307,0.006527998,0.00009568791,0.07314586,0.02075457,0.001010086],"study_design_scores_gemma":[0.004629908,0.002908342,0.5948587,0.00256285,0.0003941221,0.00002361231,0.003393942,0.103831,0.0001322243,0.08546,0.1983311,0.003474157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446909,0.001396017,0.0002897977,0.001321315,0.0002815043,0.0006598571,0.002654003,0.0001378832,0.04856867],"genre_scores_gemma":[0.9947704,0.0007631789,0.002172283,0.0002460538,0.0001758391,0.000007664138,0.0002336825,0.00006083858,0.001570062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2602221,"threshold_uncertainty_score":0.999759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209422118","doi":"","title":"LDC Graduation of Bangladesh- In Search of Coping Strategies for the Bangladeshi RMG Industry","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Business; China; Portfolio; Foreign direct investment; Economics; Engineering; Finance; Geography","authors":[{"name":"Zaeem-Al Ehsan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08323238099177363,"gpt":0.232215473061692,"spread":0.1489830920699184,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004307154,0.0001480372,0.0004064771,0.0003535915,0.0001471022,0.00003399521,0.0005380036,0.0001592367,0.0001203963],"category_scores_gemma":[0.0001081734,0.0001743231,0.0002122501,0.0005515229,0.0002364899,0.0003260458,0.00022571,0.0004333234,0.00000684716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498373,"about_ca_system_score_gemma":0.0002587178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009955259,"about_ca_topic_score_gemma":0.001251991,"domain_scores_codex":[0.9987663,0.0000673003,0.0004395019,0.000349797,0.00006245016,0.0003146717],"domain_scores_gemma":[0.9986759,0.0004848449,0.000266625,0.0004141103,0.00009318003,0.00006531811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001718918,0.0002363321,0.05248673,0.0001897735,0.0002472083,0.00002621772,0.006707779,0.002869267,0.0004279056,0.9354938,0.0002618873,0.0008812224],"study_design_scores_gemma":[0.01300274,0.001046011,0.282827,0.0008727417,0.0002231612,0.00006844734,0.1920535,0.119339,0.003965027,0.1265266,0.2578937,0.002182109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463795,0.001280058,0.00248168,0.001226538,0.0001336042,0.0003544447,0.000724325,0.00001500987,0.04740485],"genre_scores_gemma":[0.9966185,0.0008784052,0.001333913,0.00006209129,0.00003538965,0.000002648475,0.00007352378,0.00001539512,0.0009801287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8089672,"threshold_uncertainty_score":0.7108691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981118441","doi":"","title":"The impact of economic policy uncertainty and commodity prices on CARB country stock market volatility","year":2019,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Volatility (finance); Commodity market; Monetary economics; Stock market; Stock (firearms); Vector autoregression; Stock market volatility; Shock (circulatory); Interest rate; Financial economics; Finance","authors":[{"name":"Syed Abul Basher","is_ca":false},{"name":"Alfred A. Haug","is_ca":false},{"name":"Perry Sadorsky","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01258712415528144,"gpt":0.2259188315807654,"spread":0.213331707425484,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009402689,0.0002711641,0.0005361149,0.0003301643,0.0003987818,0.00006279904,0.0007285905,0.0001127525,0.000349746],"category_scores_gemma":[0.0001550518,0.0002541351,0.0002875262,0.0002638924,0.0004110002,0.0002223425,0.0004663882,0.0004308584,0.00001261142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000708529,"about_ca_system_score_gemma":0.0002655413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484263,"about_ca_topic_score_gemma":0.003058086,"domain_scores_codex":[0.9983842,0.0001614663,0.0004070011,0.0005496401,0.00007922984,0.0004183984],"domain_scores_gemma":[0.9974024,0.0009711932,0.0004775376,0.0009279356,0.00005069045,0.0001702948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001198121,0.0001764004,0.8425316,0.00007242505,0.0003988748,0.000004332635,0.001225675,0.0002842801,0.00001077659,0.1521616,0.0006861131,0.001249799],"study_design_scores_gemma":[0.0009166125,0.0003184461,0.4007577,0.00002455125,0.00001246708,0.00000323243,0.0004272461,0.5584074,5.961205e-7,0.009517447,0.02931855,0.0002957577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8271076,0.0001802083,0.00004307496,0.0001548944,0.00007598322,0.0003383435,0.001910247,0.00001804922,0.1701716],"genre_scores_gemma":[0.9951744,0.0007182516,0.00008386093,0.00002611736,0.0000384157,0.00000126138,0.00005372904,0.00001792297,0.003886044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5581232,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2335886769","doi":"","title":"Skills heterogeneity among graduate workers: real and apparent overeducation in the Spanish labor market","year":2015,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Wage; Labour economics; Economics; Quarter (Canadian coin); Cognitive skill; Educational attainment; Homogeneous; Point (geometry); Demographic economics; Cognition; Psychology","authors":[{"name":"Lucía Mateos-Romero","is_ca":false},{"name":"María del Mar Salinas Jiménez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04533187999231228,"gpt":0.2432282228698198,"spread":0.1978963428775075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002353076,0.0004891399,0.0007704572,0.0006111333,0.0002769273,0.0002381043,0.0013556,0.0003055753,0.00006166552],"category_scores_gemma":[0.0002782267,0.0005254711,0.0002650838,0.0005419247,0.0004087403,0.0002896111,0.001740971,0.001338261,0.00001059559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006317276,"about_ca_system_score_gemma":0.0002969509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283961,"about_ca_topic_score_gemma":0.01051177,"domain_scores_codex":[0.9968209,0.0006208902,0.0006469375,0.001134295,0.0002106665,0.0005662741],"domain_scores_gemma":[0.9972159,0.0004019516,0.0007311894,0.001261473,0.0001467151,0.0002427792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002961092,0.0007740955,0.9118671,0.0002396204,0.000379681,0.000170304,0.01681736,0.000190713,0.000002022292,0.06649894,0.001688512,0.001075562],"study_design_scores_gemma":[0.001079901,0.00008345223,0.9061161,0.0002477384,0.00006216919,0.000009538999,0.005170102,0.007929917,8.561195e-7,0.0634023,0.01505339,0.0008445995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328086,0.0005478484,0.0001173212,0.0006538081,0.0003415473,0.0006633191,0.002278996,0.00004070033,0.06254781],"genre_scores_gemma":[0.9906542,0.005548873,0.0005988303,0.000120652,0.0001259416,0.00001463263,0.0005084456,0.0000438248,0.002384617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0601632,"threshold_uncertainty_score":0.9997197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135041865","doi":"","title":"Development of grapes and wine-making industry of Moldova on the basis of modern achievements of science and innovations","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Winemaking; Wine; Vineyard; Biotechnology; Economy; Political science; Agricultural economics; Environmental protection; Business; Engineering; Geography; Horticulture; Economics; Biology; Food science","authors":[{"name":"Boris Gaina","is_ca":false},{"name":"Svetlana Fedorchukova","is_ca":false},{"name":"Galina Gobirman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06448238500691703,"gpt":0.2499273644633292,"spread":0.1854449794564122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002664652,0.0001009613,0.0001943308,0.00006160281,0.000302969,0.000008745511,0.0004343872,0.00004735849,0.00002648482],"category_scores_gemma":[0.0002792233,0.00004148058,0.00004144956,0.001140696,0.001067912,0.0001343058,0.0005197512,0.0002126844,1.702453e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002033443,"about_ca_system_score_gemma":0.00007498726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009502995,"about_ca_topic_score_gemma":0.000128653,"domain_scores_codex":[0.9988387,0.00007359622,0.0002215716,0.0002096384,0.0004892396,0.0001672541],"domain_scores_gemma":[0.9990516,0.0002729005,0.0001740083,0.00006116046,0.0003571089,0.00008321664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001076992,0.00008773013,0.006685447,0.0000462852,0.00005210532,0.000001606662,0.006747235,0.00000457893,0.949963,0.005177957,0.00001298386,0.03111336],"study_design_scores_gemma":[0.0006974219,0.001315028,0.6975791,0.0006104701,0.00007186637,0.000004783958,0.05483786,0.00276809,0.2364501,0.0004609122,0.004791134,0.0004131799],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967162,0.00003154204,0.000003556272,0.001465633,0.000004312733,0.0001466312,0.00005862108,0.000004720345,0.001568785],"genre_scores_gemma":[0.9992527,0.0000491008,0.0005629098,0.00004762255,0.000008334909,5.818753e-7,0.00000707028,6.550284e-7,0.00007106777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7135129,"threshold_uncertainty_score":0.3934765,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3047849573","doi":"","title":"Labour-centred Politics and Judicial Institutionalisation: The Lineaments of an Early Proto-Regulatory State Model in Australia","year":2014,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Australian History and Society","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"New South Wales Government","keywords":"Deregulation; Politics; Political science; Regulatory state; Hegemony; Entitlement (fair division); State (computer science); Political economy; Public administration; Economics; Law; Market economy","authors":[{"name":"Celal Bayari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04241714874060625,"gpt":0.2694509241071223,"spread":0.227033775366516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503375,0.0001299055,0.0001795305,0.0001295638,0.0008203111,0.00002581795,0.0004551299,0.00009348331,0.0000373108],"category_scores_gemma":[0.00008782589,0.000132862,0.00007653165,0.0002807174,0.001621254,0.0004082704,0.0001209893,0.0003054083,0.000002465501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562825,"about_ca_system_score_gemma":0.000413387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220753,"about_ca_topic_score_gemma":0.007723458,"domain_scores_codex":[0.9982185,0.0006206337,0.0001820316,0.000249713,0.0004059346,0.0003231521],"domain_scores_gemma":[0.9992128,0.0001188546,0.0001341531,0.0002450704,0.0001064042,0.0001827254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001260925,0.0002160094,0.03663781,0.00002962456,0.00005630512,0.0000142821,0.1718015,0.001184757,0.0002046162,0.7893378,0.00009120067,0.0003000926],"study_design_scores_gemma":[0.006906856,0.0006999717,0.5846341,0.0003701131,0.0002202763,0.000007153874,0.09825689,0.03128986,0.0001538661,0.04506469,0.2307827,0.001613565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938527,0.000009412155,0.0001433113,0.0002099623,0.00004975617,0.0003645298,0.00009328712,0.00002251364,0.005254504],"genre_scores_gemma":[0.9870237,0.00004382915,0.0008008538,0.00006754195,0.00005944185,0.00000203788,0.00001821224,0.000007026853,0.01197732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7442731,"threshold_uncertainty_score":0.9943703,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008713254","doi":"","title":"Causal Factors of Australian Beef Exports","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Casual; Quarter (Canadian coin); Economics; Government (linguistics); Bivariate analysis; Agriculture; Causal chain; Lag; Geography; Ecology; Biology","authors":[{"name":"Patrick Harris","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02149603395140906,"gpt":0.2163675407772659,"spread":0.1948715068258568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005519231,0.0002271656,0.0002387581,0.0000794582,0.0001368523,0.000008495544,0.0005768599,0.0001305163,0.0001260809],"category_scores_gemma":[0.00006891529,0.0002468497,0.0001960884,0.0001884238,0.0003204934,0.000008637574,0.0003958366,0.0002179416,0.000006662704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001599001,"about_ca_system_score_gemma":0.0001771412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000999773,"about_ca_topic_score_gemma":0.00007296412,"domain_scores_codex":[0.9987326,0.0001276933,0.0001895064,0.0004490336,0.0002080107,0.0002931766],"domain_scores_gemma":[0.9990849,0.00003739964,0.000127588,0.0003815216,0.00007563844,0.0002928973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002954779,0.001305628,0.2053826,0.0004663109,0.002094001,0.0002069388,0.03233841,0.001835827,0.6520867,0.06905942,0.02559864,0.006670753],"study_design_scores_gemma":[0.003001954,0.003938461,0.2491919,0.00009367661,0.000296044,0.00003810009,0.01616956,0.0001770955,0.04586606,0.0008337758,0.6789548,0.001438547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800501,0.0001011918,0.001624222,0.0003228582,0.00007490995,0.0001764605,0.0001895417,0.00002329489,0.01743736],"genre_scores_gemma":[0.9880647,0.00005997882,0.006544535,0.0001066425,0.0001102064,5.622505e-7,0.0002187238,0.00002320598,0.004871415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6533561,"threshold_uncertainty_score":0.9999984,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2986928839","doi":"","title":"Tax Policy Forum: Review of Tax Expenditures, Budget 2016","year":2017,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Public economics; Economics; Tax reform; Tax policy; Tax credit; Macroeconomics","authors":[{"name":"Larry Chapman","is_ca":false},{"name":"Ken McKenzie","is_ca":true},{"name":"Shawn Porter","is_ca":false},{"name":"Lindsay M. Tedds","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02604903530459567,"gpt":0.2326862690123436,"spread":0.2066372337077479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004428478,0.0003159484,0.0008321327,0.0006264408,0.0007682563,0.00006258322,0.002039977,0.0001434673,0.0003327113],"category_scores_gemma":[0.0005084412,0.0003825703,0.0004890364,0.0001432133,0.0005818825,0.000684094,0.001007389,0.0004061173,0.0002827559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432937,"about_ca_system_score_gemma":0.000189855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0061231,"about_ca_topic_score_gemma":0.0006644492,"domain_scores_codex":[0.9980152,0.00007134728,0.0005883402,0.0006262621,0.0000809331,0.0006178629],"domain_scores_gemma":[0.9968651,0.0001413266,0.001078373,0.001598945,0.00004488913,0.0002713872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001329267,0.0002166905,0.01275413,0.0009913149,0.00032169,0.00006388116,0.001007675,0.000002777235,0.00004932096,0.9140999,0.0674168,0.002942925],"study_design_scores_gemma":[0.001185975,0.0001392163,0.01236399,0.001090358,0.00003024312,0.00001865908,0.0003983298,0.0003258798,0.0000498558,0.04045746,0.9433882,0.0005518281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01329038,0.00765073,0.0002646576,0.009180075,0.0002690259,0.0004522869,0.002853472,0.00004716437,0.9659922],"genre_scores_gemma":[0.86486,0.06418304,0.001716696,0.002652723,0.0006361522,0.000009487907,0.0002341458,0.0001011524,0.06560662],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9003856,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092532809","doi":"","title":"Efficient Markets Hypothesis in Canada: a comparative study between Islamic and Conventional stock markets","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Efficient-market hypothesis; Islam; Economics; Stock (firearms); Stock market index; Financial economics; Stock market; Unit root; Index (typography); Random walk hypothesis; Market efficiency; Monetary economics; Econometrics; Geography","authors":[{"name":"Malika Neifar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02930826602687499,"gpt":0.2005456655833264,"spread":0.1712373995564515,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002202908,0.0002884915,0.0004892746,0.0003382427,0.0004285131,0.00005346614,0.0004608621,0.00003592908,0.00008028514],"category_scores_gemma":[0.00009267282,0.0003114808,0.00008542058,0.0006950861,0.0001768331,0.0002046485,0.0008071627,0.000340781,0.00001605472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650527,"about_ca_system_score_gemma":0.0002930062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1412472,"about_ca_topic_score_gemma":0.4513336,"domain_scores_codex":[0.9982783,0.0001178629,0.000251771,0.0005421334,0.0004026458,0.0004073305],"domain_scores_gemma":[0.9991103,0.0003941274,0.0001872981,0.0001940871,0.00009665757,0.00001748255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001312656,0.0005728233,0.9608459,0.0002888513,0.0007182807,0.0009708619,0.01192458,0.0002382047,0.00008411238,0.01011785,0.004303871,0.008622028],"study_design_scores_gemma":[0.002114804,0.0000503844,0.9587253,0.000112233,0.0001295683,0.00000182523,0.01271583,0.01722729,0.000001855901,0.0002800366,0.008226083,0.0004147808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818955,0.00008358755,0.0000320119,0.0009020495,0.00005039662,0.0004893809,0.00005137924,0.00003622294,0.01645944],"genre_scores_gemma":[0.9989097,0.00002544876,0.0001121858,0.0003187784,0.000125642,0.000003550232,0.00002357668,0.00001678223,0.000464368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3100864,"threshold_uncertainty_score":0.9999337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989701431","doi":"","title":"The Kijiji Second-hand Economy Index: 2016","year":2015,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary; Université du Québec à Montréal","funders":"","keywords":"Index (typography); Economy; Economics; Purchasing; Phenomenon; Goods and services; Business; Public economics; Operations management","authors":[{"name":"Fabien Duriff","is_ca":true},{"name":"Myriam Ertz","is_ca":false},{"name":"Lindsay M. Tedds","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02786939071846539,"gpt":0.1848523396526115,"spread":0.1569829489341461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000697029,0.0002936548,0.0005281188,0.0004938229,0.0008936065,0.0002492928,0.001198377,0.0001225343,0.0003727518],"category_scores_gemma":[0.0001095315,0.0002948757,0.0004173304,0.000384096,0.0005629699,0.0004843906,0.0005351157,0.0004132249,0.0006276328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836271,"about_ca_system_score_gemma":0.0002721369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215476,"about_ca_topic_score_gemma":0.00522963,"domain_scores_codex":[0.9981175,0.00009112171,0.0005114648,0.0006568609,0.00007412583,0.0005488997],"domain_scores_gemma":[0.9979227,0.0003048069,0.0004527942,0.0007782856,0.0001188221,0.0004226104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002887977,0.0001551426,0.0222575,0.00001550644,0.0007219071,0.00007128577,0.002616979,0.0003342885,0.00001113036,0.9552189,0.01615351,0.002155024],"study_design_scores_gemma":[0.001054392,0.00009664962,0.002464806,0.00001176699,0.00001982148,0.00001181274,0.001491014,0.01801652,0.000006082496,0.05194241,0.9244896,0.0003951227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1682396,0.002446653,0.00312825,0.005218139,0.0003845448,0.0003406183,0.0003556021,0.00006478657,0.8198218],"genre_scores_gemma":[0.91543,0.001233272,0.000326613,0.0004114574,0.0002050214,0.000005092426,0.00006914735,0.00004108852,0.08227829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9083361,"threshold_uncertainty_score":0.9999503,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7006615723","doi":"","title":"Tourism and Economic Growth in South Asian Countries: Asymmetric Analysis and Lessons for Mitigating the Adverse Effects of Covid-19 Pandemic","year":2022,"lang":"en","type":"other","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Tourism; Context (archaeology); China; Pandemic; Earnings; Quarter (Canadian coin); Economic recovery; Domestic tourism","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.019928852101745,"gpt":0.2879888909053295,"spread":0.2680600388035845,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001300206,0.0003138653,0.0006905997,0.003230675,0.001084376,0.00006267372,0.001196373,0.0002206865,0.0005725681],"category_scores_gemma":[0.001361108,0.0003272472,0.0003069194,0.001472903,0.001688632,0.0001546715,0.001022788,0.0006683843,0.000003111411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008271114,"about_ca_system_score_gemma":0.001281411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04901228,"about_ca_topic_score_gemma":0.07658649,"domain_scores_codex":[0.9966642,0.001207055,0.0002377208,0.0007258641,0.000561444,0.0006036837],"domain_scores_gemma":[0.9951128,0.003569474,0.0004496933,0.0004308245,0.0000519853,0.0003852754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009995077,0.0004223114,0.3977194,0.002615273,0.009481876,0.002084252,0.3413646,0.0001281342,0.00001590817,0.2032133,0.03559685,0.006358543],"study_design_scores_gemma":[0.004302052,0.0003074387,0.01091447,0.0002250188,0.001977014,0.000005481957,0.2188893,0.0008188081,0.00000290657,0.001819461,0.7597198,0.001018201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05218334,0.003582581,0.0004404131,0.005337463,0.0002522065,0.00435458,0.002942074,0.0002481371,0.9306592],"genre_scores_gemma":[0.7156516,0.01613937,0.001797573,0.00029386,0.0003426248,0.00004905381,0.0002354394,0.0002924612,0.265198],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7241229,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128459801","doi":"","title":"Implementing a Basic Income Guarantee through the Personal Income Tax System: Benefits, Barriers, and Bothers","year":2017,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"State income tax; Public economics; Income tax; International taxation; Basic income; Business; Process (computing); Gross income; Economics; Double taxation; Personal income tax; Tax reform; Computer science; Market economy","authors":[{"name":"Lindsay M. Tedds","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01828259336794423,"gpt":0.2549245413950368,"spread":0.2366419480270926,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008913759,0.0002948082,0.0003492091,0.0001613337,0.01044408,0.0003689569,0.001885193,0.0001235069,0.0001641147],"category_scores_gemma":[0.0004429933,0.000286382,0.0002309918,0.0002753499,0.002018542,0.0008672876,0.0009873392,0.0005304576,0.00001616677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259822,"about_ca_system_score_gemma":0.0007707709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.271735,"about_ca_topic_score_gemma":0.3957136,"domain_scores_codex":[0.9970474,0.0005151226,0.000227305,0.0005528321,0.0006218334,0.001035503],"domain_scores_gemma":[0.9978811,0.0004498886,0.0004324005,0.0007935761,0.00009766011,0.0003453845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002058166,0.00002969213,0.03038324,0.0001066685,0.0003484256,0.0002798714,0.1732951,0.000007608916,0.00004670531,0.7869392,0.003166412,0.005191274],"study_design_scores_gemma":[0.001189744,0.00007290906,0.03018244,0.0003383872,0.0001113907,0.00003330028,0.08875148,0.0006858512,0.000005579912,0.0009129235,0.8772087,0.0005072938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8055977,0.0009948016,0.00006972305,0.01259581,0.0002485625,0.0006746381,0.001838978,0.0001037507,0.177876],"genre_scores_gemma":[0.9812374,0.001152434,0.0002243297,0.0004750691,0.000299981,0.000003954347,0.000008045855,0.00002877314,0.01657007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8740423,"threshold_uncertainty_score":0.9999588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3173049720","doi":"10.7916/d8ng4q0z","title":"Quantifying the Personal Income Tax Benefits of Backdating: A Canada – US Comparison","year":2012,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria; Western University; University of Manitoba","funders":"","keywords":"Stock options; Executive compensation; Economics; Moneyness; Business; Non-qualified stock option; Monetary economics; Actuarial science; Finance; Restricted stock; Stock market","authors":[{"name":"Ryan A. Compton","is_ca":true},{"name":"Christopher C. Nicholls","is_ca":true},{"name":"Daniel Sandler","is_ca":true},{"name":"Lindsay M. Tedds","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0418583678889588,"gpt":0.2220760877916679,"spread":0.1802177199027091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003859896,0.0002645189,0.0003380255,0.0002991917,0.0007574561,0.00007447661,0.0007952203,0.00005418488,0.0002930794],"category_scores_gemma":[0.0001650506,0.0002393662,0.0001481796,0.0008905575,0.000225008,0.0008533187,0.0006865842,0.0004220445,0.0000339242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150845,"about_ca_system_score_gemma":0.0002495493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2135865,"about_ca_topic_score_gemma":0.4813806,"domain_scores_codex":[0.9982414,0.0000875918,0.0003025837,0.0002918496,0.0005603991,0.0005161426],"domain_scores_gemma":[0.9983709,0.0002977339,0.0006571478,0.000385937,0.0002254256,0.00006282014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002328946,0.0002703158,0.907798,0.0002298968,0.0001677847,0.00002116768,0.003078791,0.0003895554,0.0008397576,0.07797065,0.004269273,0.004731903],"study_design_scores_gemma":[0.001146843,0.00002669088,0.4202209,0.0002417087,0.0001531684,0.00001102139,0.01585446,0.02842741,0.00008847006,0.00006111224,0.5331305,0.000637685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613813,0.0003142925,0.0001169666,0.0007143907,0.0002526936,0.0002208372,0.00006358367,0.0000501855,0.03688579],"genre_scores_gemma":[0.9968487,0.00003623785,0.0002986037,0.0004395191,0.0003406018,0.000001443124,0.00008087164,0.00002433986,0.00192969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5288612,"threshold_uncertainty_score":0.9761071,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3080147088","doi":"","title":"Leçons macroéconomiques de la Covid-19: une analyse pour la RDC","year":2020,"lang":"fr","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Markov chain Monte Carlo; Economics; Shock (circulatory); Quarter (Canadian coin); Exchange rate; Econometrics; Bayesian probability; Coronavirus disease 2019 (COVID-19); Statistics; Mathematics; Geography; Monetary economics","authors":[{"name":"Gilles Bertrand Umba","is_ca":false},{"name":"Yves Siasi","is_ca":false},{"name":"Grégoire Lumbala","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05352787944993641,"gpt":0.2756229335099303,"spread":0.2220950540599939,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00242755,0.001234569,0.002128135,0.002023821,0.001013566,0.0004225488,0.003508755,0.001236559,0.001646855],"category_scores_gemma":[0.004808831,0.001884138,0.001600637,0.001521298,0.002111739,0.0005580956,0.004605532,0.004009577,0.0006055873],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006048788,"about_ca_system_score_gemma":0.005628132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03724135,"about_ca_topic_score_gemma":0.006060837,"domain_scores_codex":[0.9923339,0.00211948,0.00124133,0.002507317,0.0002114621,0.001586548],"domain_scores_gemma":[0.9879834,0.006126668,0.001588213,0.002002237,0.0001409986,0.00215846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001396508,0.001179613,0.1545687,0.001361227,0.004350879,0.005267025,0.06119921,0.01187188,0.0005205817,0.7326291,0.02081336,0.004841916],"study_design_scores_gemma":[0.00284596,0.0001606659,0.01571884,0.0003124943,0.0004218501,0.0001780665,0.005375912,0.04093286,0.00002490129,0.05070461,0.8815997,0.0017242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2687937,0.005704666,0.1028458,0.08472441,0.0009253916,0.001928127,0.01090169,0.0007722886,0.5234039],"genre_scores_gemma":[0.8775983,0.02308158,0.02284298,0.006745192,0.0006089352,0.000018049,0.0007907943,0.0002873258,0.06802685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8607863,"threshold_uncertainty_score":0.9992658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129737549","doi":"","title":"Asset allocation in extreme market conditions: a comparative analysis between developed and emerging economies","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Extreme value theory; Stock (firearms); Emerging markets; Portfolio; Financial economics; Stock market; Generalized Pareto distribution; Economics; Financial market; Value at risk; Stock market index; Econometrics; Finance; Geography; Risk management; Statistics; Mathematics","authors":[{"name":"Keitumetse Montshioa","is_ca":false},{"name":"John Weirstrass Muteba Mwamba","is_ca":false},{"name":"Lumengo Bonga‐Bonga","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07204508013900751,"gpt":0.2479701367548801,"spread":0.1759250566158726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005810445,0.0002046247,0.0006437054,0.001009044,0.0002828653,0.00007292942,0.0002795678,0.00008688929,0.000806996],"category_scores_gemma":[0.0001281872,0.0002897262,0.0001736319,0.001183437,0.0001671467,0.000384272,0.0003320257,0.0002911516,0.000009677528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253329,"about_ca_system_score_gemma":0.0001181041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008146996,"about_ca_topic_score_gemma":0.01034054,"domain_scores_codex":[0.9983416,0.0002094522,0.0004529086,0.000640532,0.00005370868,0.0003018332],"domain_scores_gemma":[0.9986463,0.000479296,0.0002669104,0.0003959994,0.00008250983,0.0001290408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005364175,0.00009539734,0.9417892,0.00002907283,0.0008047404,0.00004154426,0.003364166,0.00005394167,0.00001383646,0.05323949,0.0001460433,0.000368996],"study_design_scores_gemma":[0.0007541107,0.0000235937,0.7902027,0.00002749522,0.0001009367,0.000003089114,0.003399825,0.1595368,0.00000412879,0.007417832,0.03816189,0.0003676428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658384,0.0004333398,0.002743511,0.0004876269,0.00003425481,0.0001668284,0.0009197905,0.0000238698,0.1293524],"genre_scores_gemma":[0.9906617,0.0007610433,0.002684954,0.00004787789,0.00001793879,0.000003200389,0.0006016204,0.000009628771,0.005212058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594829,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3044913958","doi":"","title":"The role of endogenous capital depreciation rate in Dynamic Stochastic General Equilibrium models: Evidence from Canada","year":2017,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Depreciation (economics); Dynamic stochastic general equilibrium; Shock (circulatory); Capital Consumption Allowance; Technology shock; Econometrics; Microeconomics; Monetary economics; Capital formation; Monetary policy; Financial capital","authors":[{"name":"И. А. Белоусова","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03098224310333497,"gpt":0.1858133470170839,"spread":0.1548311039137489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004925468,0.0001817721,0.000369148,0.0001693654,0.0005542376,0.0000719916,0.001227979,0.00006309427,0.00002557959],"category_scores_gemma":[0.0004119306,0.0002112747,0.0001135087,0.00009428352,0.0002445931,0.0007133232,0.0004958848,0.0003009606,0.000009252475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005226653,"about_ca_system_score_gemma":0.0004265379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6421357,"about_ca_topic_score_gemma":0.7348049,"domain_scores_codex":[0.9985685,0.0001114887,0.0003555185,0.0005106172,0.00006325825,0.0003906077],"domain_scores_gemma":[0.9978078,0.0005128692,0.0005804425,0.0009433972,0.00004652891,0.0001089641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002388637,0.0005582708,0.572751,0.000120858,0.001264938,0.0002766912,0.03264803,0.0642321,0.01772441,0.2867617,0.0001380977,0.02113527],"study_design_scores_gemma":[0.001381527,0.0001186525,0.1727147,0.0001075511,0.0000368848,0.000007726046,0.002352529,0.698471,0.0003595737,0.1214984,0.002252296,0.0006992705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829239,0.002995046,0.0004873918,0.0003107959,0.0002107808,0.0002167329,0.0005966793,0.000009771482,0.01224894],"genre_scores_gemma":[0.9983597,0.0006348399,0.0001947839,0.00001367658,0.00005025929,0.000002491679,0.00003258842,0.00001653301,0.0006951668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6342388,"threshold_uncertainty_score":0.8615534,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3169037852","doi":"","title":"Some Markov-Switching Models for the Toronto Stock Exchange","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Markov chain; Heteroscedasticity; Stock exchange; Econometrics; Mathematics; Economics; Statistics; Finance","authors":[{"name":"Delali Accolley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1106543106888589,"gpt":0.344553627159967,"spread":0.2338993164711082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009427832,0.0002067178,0.000280608,0.0001667517,0.001271082,0.0001833836,0.001658679,0.00008720098,0.0004651041],"category_scores_gemma":[0.000453878,0.0001684159,0.0003778965,0.0005792387,0.0001370475,0.0008526325,0.0009125834,0.0002515189,0.00001684997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129647,"about_ca_system_score_gemma":0.0002470462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005905732,"about_ca_topic_score_gemma":0.002821692,"domain_scores_codex":[0.9975398,0.0002973397,0.0003289987,0.0006738364,0.0007832711,0.0003767632],"domain_scores_gemma":[0.9939436,0.003868992,0.0001986801,0.001321777,0.0004975852,0.000169346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00034052,0.00037872,0.0004590122,0.00002761333,0.0002595265,0.00006256048,0.01440402,0.00226659,0.002435738,0.6297492,0.02623634,0.3233801],"study_design_scores_gemma":[0.0006191935,0.00005957014,0.0007596508,0.00002472723,0.00005659759,0.00001290295,0.009253498,0.2976252,0.0001225018,0.05935587,0.6318275,0.0002828657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03208974,0.00479118,0.8262398,0.00859187,0.0003774785,0.001986946,0.0006473359,0.0003829629,0.1248927],"genre_scores_gemma":[0.8515997,0.002679405,0.03427994,0.001249893,0.0004758054,0.00005029124,0.0001037546,0.0000615138,0.1094997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8195099,"threshold_uncertainty_score":0.9776266,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211973151","doi":"","title":"The Effect of Asset Thresholds on Income Assistance Flows in British Columbia","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Asset (computer security); Welfare; Argument (complex analysis); Social assistance; Social protection; Business; Public economics; Social policy; Test (biology); Economics; Finance; Economic growth; Computer security; Market economy","authors":[{"name":"Gillian Petit","is_ca":false},{"name":"Lindsay M. Tedds","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009888592022328231,"gpt":0.2536268094199211,"spread":0.2437382173975929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008074304,0.0001236325,0.0003439036,0.00008352201,0.002141263,0.0001268609,0.000669289,0.0001181621,0.00003842284],"category_scores_gemma":[0.000814165,0.0001464557,0.0002288798,0.0009309757,0.001032638,0.0001569667,0.0003664046,0.0004588721,0.000004935512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264596,"about_ca_system_score_gemma":0.0003617147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05790799,"about_ca_topic_score_gemma":0.8725418,"domain_scores_codex":[0.9972503,0.001238195,0.0001962997,0.0003141938,0.0005172563,0.0004838178],"domain_scores_gemma":[0.9974978,0.001828079,0.000125047,0.0003200269,0.0001134932,0.0001155342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006370196,0.0004386767,0.8588921,0.0001616651,0.0007003802,0.001773794,0.05199366,0.00005085728,0.0003028428,0.04744656,0.004283712,0.03331871],"study_design_scores_gemma":[0.003884427,0.0008512765,0.6392211,0.0009127291,0.0001350674,0.00001758906,0.08311461,0.0002310451,0.0000928166,0.007457351,0.2631879,0.0008940403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8325164,0.0003002104,0.000002435597,0.0007276232,0.0001613446,0.0002146551,0.00007886632,0.0000313142,0.1659671],"genre_scores_gemma":[0.9757159,0.003148447,0.0000565113,0.00005344661,0.0001182512,0.000003320797,0.00001118047,0.00001221284,0.02088076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8146338,"threshold_uncertainty_score":0.9991578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1898840150","doi":"","title":"Technological change and international interaction in environmental policies","year":2013,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Simon Fraser University","keywords":"Leapfrogging; Lagging; Environmental quality; Technological change; Natural resource economics; Environmental pollution; Environmental degradation; Clean technology; Economics; Business; Environmental regulation; Environmental technology; Developing country; International trade; Economic growth; Environmental protection; Environmental science; Engineering; Political science; Macroeconomics; Ecology","authors":[{"name":"Yuichi Furukawa","is_ca":false},{"name":"Yasuhiro Takarada","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04790593584945724,"gpt":0.206229996684744,"spread":0.1583240608352868,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002608449,0.0003892757,0.0005603764,0.001341564,0.000132788,0.000085597,0.0009709031,0.0003780567,0.0007104283],"category_scores_gemma":[0.00005780642,0.0005295373,0.0001882499,0.0001134985,0.0006843834,0.000471152,0.003306096,0.00114208,0.0002002956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065708,"about_ca_system_score_gemma":0.0000187098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722855,"about_ca_topic_score_gemma":0.0003681885,"domain_scores_codex":[0.9979568,0.00007955185,0.000477138,0.001007268,0.00006566395,0.0004135993],"domain_scores_gemma":[0.9986371,0.00011625,0.0005103295,0.0005917924,0.000005941489,0.0001385878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002149839,0.001151826,0.4538872,0.0001278069,0.0007806035,0.000197959,0.01089268,0.0004957161,0.0003827644,0.5167116,0.000420434,0.01473647],"study_design_scores_gemma":[0.002743315,0.0002245524,0.4291046,0.0003195431,0.00005072791,0.00007563829,0.008964052,0.04234354,0.00004856436,0.06236185,0.4515655,0.00219808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455262,0.0008873602,0.0002103597,0.001525482,0.0003247836,0.0004523617,0.000720814,0.00006734891,0.05028532],"genre_scores_gemma":[0.9842334,0.009849429,0.001051311,0.0001656278,0.0001109084,0.00002740604,0.0003033795,0.00004048131,0.004218087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4543497,"threshold_uncertainty_score":0.9997156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3202302905","doi":"","title":"Truth, Honesty, and Strategic Interactions","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Honesty; Strategic complements; Dominance (genetics); Microeconomics; Context (archaeology); Economics; Strategic interaction; Product (mathematics); Natural (archaeology); Mathematical economics; Psychology; Positive economics; Social psychology; Mathematics","authors":[{"name":"Angelique Bernabe","is_ca":false},{"name":"Tanjim Hossain","is_ca":false},{"name":"Haomiao Yu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04846084312158099,"gpt":0.2956969285457132,"spread":0.2472360854241322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001327023,0.0001559025,0.0002128754,0.0001634583,0.001338101,0.00009354866,0.0003084875,0.00005586051,0.0003295189],"category_scores_gemma":[0.00006617814,0.000198029,0.0001176289,0.0003156268,0.0007455921,0.000363099,0.0005249997,0.0002974858,0.00003488805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843381,"about_ca_system_score_gemma":0.0003471949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966184,"about_ca_topic_score_gemma":0.02288099,"domain_scores_codex":[0.9986416,0.0003141651,0.0001289749,0.0003989315,0.0001721896,0.0003441908],"domain_scores_gemma":[0.9990242,0.000340004,0.00007563425,0.0002419651,0.0001025835,0.0002156634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001081233,0.0004503095,0.01551015,0.00001864886,0.0002311247,0.0007138163,0.07629379,0.000004473196,0.006326118,0.8974206,0.000355753,0.002567132],"study_design_scores_gemma":[0.00152788,0.0001657171,0.005333186,0.0001124186,0.0001680866,0.00007622762,0.6760626,0.0003366133,0.0005825527,0.01406921,0.3006473,0.0009181474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5905415,0.0002858352,0.000008519321,0.000884591,0.0001697176,0.000085793,0.00003918659,0.00005616511,0.4079287],"genre_scores_gemma":[0.9778847,0.001901637,0.001181875,0.00007115105,0.00007622087,0.000001634405,0.00002744948,0.00001363364,0.01884176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8833513,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1924806893","doi":"","title":"Непараметрические оценки эффективности российских банков","year":2010,"lang":"ru","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Econometrics; Quarter (Canadian coin); Economics; Parametric statistics; Spearman's rank correlation coefficient; Statistics; Mathematics; Geography","authors":[{"name":"Sergei Golovan","is_ca":false},{"name":"Vladimir Nazin","is_ca":false},{"name":"Anatoly Peresetsky","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02385465846598579,"gpt":0.2423316510810574,"spread":0.2184769926150717,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.001682358,0.001551633,0.001827375,0.00148089,0.003941201,0.0004280252,0.008467808,0.002791342,0.005938074],"category_scores_gemma":[0.0008402494,0.001765593,0.001325279,0.001435174,0.005555899,0.0007897499,0.009625804,0.00812696,0.001569112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155712,"about_ca_system_score_gemma":0.00288392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005874749,"about_ca_topic_score_gemma":0.01128982,"domain_scores_codex":[0.9907526,0.001368091,0.001157385,0.002979498,0.001310391,0.002432048],"domain_scores_gemma":[0.9929724,0.001383745,0.001254837,0.002710648,0.0003946713,0.001283685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009724771,0.002373139,0.01627751,0.0004854637,0.003051818,0.002226663,0.06010386,0.000132402,0.0009039647,0.8137285,0.01683708,0.08290711],"study_design_scores_gemma":[0.001497799,0.0002002697,0.007140965,0.0005249229,0.0003372205,0.000031156,0.02277888,0.00116524,0.00007175565,0.02015575,0.9437904,0.002305686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2501614,0.0004562463,0.0006799225,0.00510679,0.002577099,0.00151536,0.0007785302,0.0008590087,0.7378657],"genre_scores_gemma":[0.7568928,0.01683179,0.01460678,0.0006849338,0.0009753286,0.00002367241,0.0005900979,0.0001875231,0.2092071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9269533,"threshold_uncertainty_score":0.9997232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122586791","doi":"","title":"Nowcasting Indonesia's GDP Growth: Are Fiscal Data Useful?","year":2019,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nowcasting; Real gross domestic product; Economics; Quarter (Canadian coin); Fiscal policy; Financial inclusion; Econometrics; Macroeconomics; Finance; Geography; Financial services","authors":[{"name":"Ardiana Alifatussaadah","is_ca":false},{"name":"Anindya Diva Primariesty","is_ca":false},{"name":"Agus Mohamad Soleh","is_ca":false},{"name":"Andriansyah Andriansyah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04856369974977749,"gpt":0.1977227524197621,"spread":0.1491590526699846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000439605,0.0003688988,0.0007133461,0.0007381349,0.0003842936,0.0001058188,0.002265137,0.0001844908,0.000359328],"category_scores_gemma":[0.0001791859,0.00047536,0.0002439313,0.0005079085,0.0002784586,0.0009722816,0.001532356,0.000667395,0.001287215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108562,"about_ca_system_score_gemma":0.00006515125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107739,"about_ca_topic_score_gemma":0.000672363,"domain_scores_codex":[0.9974441,0.00008426668,0.0005259899,0.00109645,0.00009457397,0.000754612],"domain_scores_gemma":[0.9972127,0.0003794808,0.0005179135,0.001525307,0.00005132279,0.0003132561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001189344,0.0001514147,0.8829867,0.00008162481,0.0001819917,0.00007219949,0.001861582,0.00002261351,0.00004034999,0.1116467,0.002588595,0.0002473234],"study_design_scores_gemma":[0.003336657,0.0002461732,0.5694177,0.0001649225,0.00005748355,0.00006625349,0.004612459,0.02760871,0.00002589582,0.007220005,0.3856743,0.001569392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7801027,0.0003452307,0.0005022831,0.001125855,0.0003093655,0.0002873492,0.001908516,0.00009802383,0.2153207],"genre_scores_gemma":[0.9873098,0.000392887,0.0006401978,0.0003923092,0.0001905727,0.000001431046,0.0003226442,0.0000554429,0.01069473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3830857,"threshold_uncertainty_score":0.9997698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1798668852","doi":"","title":"Tarımsal Korumacılık, Korumacılığın Ölçümü ve Türkiye","year":2011,"lang":"tr","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Agricultural and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Humanities; Art","authors":[{"name":"Alper Demirdöğen","is_ca":false},{"name":"M Necat Ören","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04080061161368502,"gpt":0.1968091532829081,"spread":0.1560085416692231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005715209,0.001026691,0.0009136079,0.0003039955,0.002511716,0.000207107,0.003265627,0.0005451995,0.008780384],"category_scores_gemma":[0.0001228249,0.0005395497,0.0008792861,0.002161401,0.001321732,0.0009480378,0.00298917,0.001763723,0.001437796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626408,"about_ca_system_score_gemma":0.000250735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00581954,"about_ca_topic_score_gemma":0.004890809,"domain_scores_codex":[0.9934044,0.0007760253,0.0006578569,0.001666281,0.001311331,0.002184124],"domain_scores_gemma":[0.9969811,0.0004963989,0.0004025117,0.0003990461,0.0005156096,0.001205347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01025353,0.009250498,0.1656523,0.0007473658,0.005303513,0.01018657,0.07635707,0.00001253139,0.1138802,0.1558556,0.1393572,0.3131436],"study_design_scores_gemma":[0.001584672,0.001884753,0.394013,0.000467054,0.0002540509,0.0001803674,0.03043947,0.0004501322,0.0008589257,0.001371447,0.5662297,0.002266437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7298386,0.0007943388,0.000008704052,0.002472059,0.0004686877,0.0008521769,0.0004841251,0.0002648007,0.2648166],"genre_scores_gemma":[0.8263704,0.005691807,0.001103668,0.000296402,0.0005551426,0.000006728384,0.0005359864,0.00001751365,0.1654224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4268725,"threshold_uncertainty_score":0.9997056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123949704","doi":"","title":"An analysis of the poor performance of recent immigrants and observations on immigration policy","year":2011,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Immigration; Microdata (statistics); Demographic economics; Earnings; Country of origin; Immigration policy; Census; Political science; Economics; Population; Sociology; Demography","authors":[{"name":"Patrick Grady","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03769928744766498,"gpt":0.2729237635337926,"spread":0.2352244760861276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004395891,0.0002100291,0.0004094505,0.0009712571,0.0006174379,0.00002651021,0.001025927,0.0001952779,0.0001015209],"category_scores_gemma":[0.0001625701,0.0001948968,0.0002760454,0.001782618,0.0007243332,0.0001925732,0.000413611,0.0004594876,6.424608e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178079,"about_ca_system_score_gemma":0.0009336333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03455234,"about_ca_topic_score_gemma":0.2175917,"domain_scores_codex":[0.9978006,0.0007513628,0.0003040893,0.0003953881,0.0005105752,0.0002379503],"domain_scores_gemma":[0.9979877,0.0001743769,0.0005503683,0.0007235982,0.0004212262,0.0001427132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005996106,0.0009707687,0.1964851,0.0001642721,0.002023258,0.000003762813,0.3922435,0.006090853,0.00190955,0.3920737,0.0001049382,0.007330589],"study_design_scores_gemma":[0.00069743,0.0003787677,0.7823581,0.0003250806,0.001965322,6.213402e-7,0.06095489,0.1294526,0.0002262885,0.001009405,0.02191481,0.0007166569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851401,0.00003097454,0.00009930578,0.0008765165,0.00007416182,0.0003465714,0.0004997597,0.00002522815,0.01290735],"genre_scores_gemma":[0.9897556,0.00706846,0.0005276249,0.0001021382,0.00003725831,0.000001866187,0.0002197993,0.00001147937,0.00227574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5858729,"threshold_uncertainty_score":0.9718767,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125342117","doi":"10.48550/arxiv.1904.12085","title":"The Category of Node-and-Choice Forms, with Subcategories for Choice-Sequence Forms and Choice-Set Forms","year":2019,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Mathematics; Combinatorics; Equivalence (formal languages); Set (abstract data type); Isomorphism (crystallography); Discrete mathematics; Computer science","authors":[{"name":"Peter A. Streufert","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03923791857314264,"gpt":0.2295435850877611,"spread":0.1903056665146185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006494885,0.000578744,0.001024914,0.0005690019,0.0008019344,0.0001958052,0.001230288,0.0003022655,0.00003340721],"category_scores_gemma":[0.0001686822,0.0004758844,0.0003181179,0.0003150515,0.0008769233,0.000557411,0.001301175,0.0009124679,0.000007692862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142131,"about_ca_system_score_gemma":0.0003067008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004558136,"about_ca_topic_score_gemma":0.005767019,"domain_scores_codex":[0.9973695,0.00002521831,0.0006946786,0.001007371,0.0001737706,0.0007294085],"domain_scores_gemma":[0.9962875,0.0009084141,0.00118004,0.001196296,0.0002040719,0.0002236968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006992742,0.0001513891,0.4560915,0.001525641,0.001231319,0.0000191442,0.004213012,0.001274327,0.00003007704,0.5318936,0.0004016159,0.002469116],"study_design_scores_gemma":[0.003237341,0.0007720881,0.1061592,0.0003993075,0.0002761958,0.00002957393,0.00350882,0.08173945,0.00003258333,0.0309599,0.7711735,0.001712012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386079,0.005985161,0.004195136,0.0009989243,0.0003051938,0.001873867,0.003100806,0.00007108079,0.04486187],"genre_scores_gemma":[0.9758369,0.01209119,0.0007138144,0.0001105877,0.00008415517,0.00002272817,0.0004679725,0.00007690657,0.01059573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7707719,"threshold_uncertainty_score":0.9997693,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3204528404","doi":"","title":"Lead-lag between female employment and economic growth: evidence from Canada","year":2017,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Casual; Economics; Causality (physics); Business cycle; Labour economics; Demographic economics; Macroeconomics; Political science","authors":[{"name":"Masoud Salehyar","is_ca":false},{"name":"Mansur Masih","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0639533251685259,"gpt":0.2215059905493566,"spread":0.1575526653808307,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006475857,0.0006558262,0.001364203,0.0004854402,0.000821014,0.0002578596,0.002213527,0.0003467237,0.0002701273],"category_scores_gemma":[0.000347841,0.0009323756,0.0003295988,0.00006924399,0.0004959612,0.0006176759,0.003629629,0.001358785,0.0001239099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552817,"about_ca_system_score_gemma":0.001240288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8524476,"about_ca_topic_score_gemma":0.5858165,"domain_scores_codex":[0.9963276,0.0001672756,0.0006792533,0.002003971,0.0001015234,0.0007203329],"domain_scores_gemma":[0.9956015,0.0007452515,0.001183954,0.001949338,0.00006049258,0.0004593999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001717799,0.0000665455,0.9790071,0.0002120005,0.001024301,0.0001456618,0.003011468,0.00007534333,0.00001497973,0.01178886,0.002384625,0.00209735],"study_design_scores_gemma":[0.002310261,0.0002553407,0.7351071,0.001149655,0.0003563075,0.00001592262,0.00130886,0.004143259,0.0001981884,0.05723015,0.1942165,0.003708474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515452,0.005128744,0.0003164602,0.002119982,0.0009021345,0.0005281618,0.007491851,0.00006090739,0.03190652],"genre_scores_gemma":[0.9848981,0.006539488,0.001427169,0.00009098006,0.0005805551,0.000007034346,0.0004123484,0.00006787539,0.005976441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2666312,"threshold_uncertainty_score":0.9993127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3141087428","doi":"","title":"Free Trade and Transportation Infrastructure in Brazil: Towards an Integrated Approach","year":2004,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Transportation infrastructure; International trade; European union; Economic integration; Trade barrier; Point (geometry); Business; Free trade; Economics; Transport engineering; Regional science; International economics; Geography; Engineering","authors":[{"name":"Paulo Tarso Vilela de Resende","is_ca":false},{"name":"Joaquim José Martins Guilhoto","is_ca":false},{"name":"Geoffrey J. D. Hewings","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02858433414462441,"gpt":0.1975215619093926,"spread":0.1689372277647682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002874411,0.000536156,0.0009144207,0.001022979,0.0001845815,0.0001226225,0.001335618,0.0005631835,0.00009125323],"category_scores_gemma":[0.00004661926,0.0007209238,0.0002703387,0.0004116792,0.0003171349,0.0005138595,0.0003888097,0.001606884,0.000006239444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007196768,"about_ca_system_score_gemma":0.0003219914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00660538,"about_ca_topic_score_gemma":0.005333943,"domain_scores_codex":[0.997418,0.00008522395,0.0006382461,0.001241802,0.00008168791,0.0005349963],"domain_scores_gemma":[0.998298,0.00004068842,0.0004306065,0.000911739,0.00002524923,0.0002936449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00106203,0.001483025,0.1007748,0.001123508,0.00105027,0.0005350345,0.06259502,0.04922318,0.0000421685,0.7724121,0.000816897,0.008881994],"study_design_scores_gemma":[0.006767747,0.0004186964,0.6128696,0.0003980774,0.0001364273,0.00004917694,0.01170165,0.0518713,0.00001317314,0.2000386,0.1131009,0.002634711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9209235,0.001090687,0.003654435,0.0007160965,0.0002801827,0.0007278027,0.008175236,0.0001270817,0.064305],"genre_scores_gemma":[0.9836085,0.002728779,0.01062594,0.0001840723,0.00007459855,0.000005774961,0.002320459,0.00006204869,0.0003898545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5723735,"threshold_uncertainty_score":0.9995242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2128862741","doi":"","title":"Literacy Profile of Ontario’s Youth","year":2000,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Literacy; Adult literacy; Face (sociological concept); Information literacy; Early literacy; Sample (material); Everyday life; Psychology; Sociology; Pedagogy; Political science; Social science; Chemistry","authors":[{"name":"Constantine Kapsalis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03800908035891582,"gpt":0.2945354994969172,"spread":0.2565264191380013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005409266,0.0003531153,0.0005976855,0.0007062156,0.0007514259,0.0001061014,0.001628912,0.0003569424,0.0038073],"category_scores_gemma":[0.00009742618,0.0004173432,0.0004764799,0.000488035,0.0007086213,0.000280692,0.0008434277,0.001140564,0.00008925696],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117061,"about_ca_system_score_gemma":0.00831874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4797059,"about_ca_topic_score_gemma":0.1846078,"domain_scores_codex":[0.9967357,0.0009454748,0.0004164741,0.0006501887,0.0006849407,0.0005672532],"domain_scores_gemma":[0.9975743,0.0002815601,0.0005014701,0.0009291759,0.0003384188,0.0003750341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001264523,0.0002545671,0.006856836,0.0001173554,0.0001990548,0.00002718768,0.9664563,0.00002195394,0.00001220478,0.02109562,0.001694761,0.003137722],"study_design_scores_gemma":[0.0004062821,0.00006293423,0.003244371,0.0005631353,0.0001306267,0.000002314794,0.07969937,0.00003627991,0.000008453918,0.0007344431,0.9146017,0.0005100117],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4068195,0.000179619,0.00002030957,0.0003290357,0.0003408389,0.0005110418,0.000609036,0.00007051936,0.5911201],"genre_scores_gemma":[0.6593136,0.0008249484,0.001924476,0.00009168985,0.0005108057,0.000005631723,0.0003920838,0.00003847509,0.3368982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.912907,"threshold_uncertainty_score":0.9998279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125137304","doi":"","title":"When measure matters: coresident sample selection bias in estimating intergenerational mobility in developing countries","year":2015,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Selection bias; Social mobility; Contrast (vision); Econometrics; Sample (material); Economics; Developing country; Quarter (Canadian coin); Selection (genetic algorithm); Demographic economics; Standard deviation; Daughter; Statistics; Mathematics; Geography; Economic growth; Biology; Political science","authors":[{"name":"M. Shahe Emran","is_ca":false},{"name":"William H. Greene","is_ca":false},{"name":"Forhad Shilpi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1378145293313689,"gpt":0.3364052587736996,"spread":0.1985907294423308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002398709,0.0003737162,0.0005118088,0.0008322635,0.0008400516,0.0001729676,0.000769679,0.0002540745,0.0002124078],"category_scores_gemma":[0.001715447,0.0004481584,0.0001699237,0.0004914268,0.0004829078,0.0004372457,0.0009732441,0.0008874456,0.00001574481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003747324,"about_ca_system_score_gemma":0.004531089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07302783,"about_ca_topic_score_gemma":0.3936045,"domain_scores_codex":[0.9955448,0.001542023,0.0006129844,0.0007667417,0.0009868647,0.0005465952],"domain_scores_gemma":[0.9971455,0.001149767,0.0003346132,0.0002662307,0.0009401578,0.0001637268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007501541,0.0009010094,0.2046148,0.0004853051,0.0005114579,0.00007621081,0.4202426,0.04228601,0.00005011957,0.3002568,0.02910954,0.0007161135],"study_design_scores_gemma":[0.002765889,0.0002237367,0.06943796,0.004259882,0.0001995308,0.00001715437,0.1343301,0.1167021,0.00007287912,0.1636048,0.5047297,0.003656241],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252276,0.0005563927,0.01491195,0.04563671,0.002182518,0.00149359,0.0007252535,0.0001755822,0.009090386],"genre_scores_gemma":[0.8954108,0.001157431,0.09240934,0.002038849,0.001567276,0.00009526929,0.001761054,0.00006690308,0.005493124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4756201,"threshold_uncertainty_score":0.999797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2987953297","doi":"","title":"Special Report—Tax Time: A Workshop Discussion on Recent Research in Applied Public Finance","year":2011,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Public finance; Political science; Accounting; Public relations; Economics; Macroeconomics","authors":[{"name":"Lindsay M. Tedds","is_ca":false},{"name":"M. Marit Rehavi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.125268075094383,"gpt":0.2485209435926922,"spread":0.1232528684983092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001432131,0.0003078797,0.0005768451,0.001722632,0.0004977216,0.00006596775,0.001127088,0.0002182371,0.001100664],"category_scores_gemma":[0.0002954691,0.0003247757,0.0001964339,0.001306101,0.0004795664,0.0003603375,0.0007454354,0.001154014,0.00131892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000697178,"about_ca_system_score_gemma":0.0001553694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003754463,"about_ca_topic_score_gemma":0.0008013008,"domain_scores_codex":[0.9969816,0.0001791215,0.0006341196,0.001082863,0.0001445017,0.0009778555],"domain_scores_gemma":[0.9980723,0.0002666659,0.0003469647,0.001010789,0.00004881252,0.000254506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001147713,0.00109454,0.008122638,0.00003408546,0.0001085603,0.000940128,0.01027498,0.00001777911,0.00002513009,0.9438925,0.01843881,0.01590314],"study_design_scores_gemma":[0.001547648,0.0001950528,0.01754517,0.00009412893,0.000005802297,0.00002762721,0.001899142,0.001351072,0.00002325421,0.08681437,0.8898731,0.0006236659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08346251,0.00006341679,0.0000519134,0.002709685,0.0002579099,0.0003959503,0.0001448717,0.00004534133,0.9128684],"genre_scores_gemma":[0.9442486,0.0009376932,0.001423068,0.0002637439,0.001076919,0.00001730523,0.0001471441,0.00007920316,0.05180636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8714343,"threshold_uncertainty_score":0.9999204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3195373428","doi":"","title":"Resurgence of small eateries– The successful business model of online Food Apps in major cities of Kerala","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Crore; Business model; Context (archaeology); Recession; Value proposition; Quarter (Canadian coin); Enabling; Business cycle; Competition (biology); Business; Marketing; Amazon rainforest; Gross domestic product; Economy; Economics; Economic growth; Geography; Macroeconomics","authors":[{"name":"Suresh Kumar S","is_ca":false},{"name":"S R Shehnaz","is_ca":false},{"name":"Shiny Salam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04996208337974858,"gpt":0.2074360907612542,"spread":0.1574740073815057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001890744,0.0002444206,0.0005380699,0.0004627098,0.0001508542,0.00001963796,0.001072463,0.00005493984,0.00004553196],"category_scores_gemma":[0.0001966547,0.0002240347,0.0001752903,0.001348578,0.0007348302,0.0004001098,0.001492761,0.0002573733,0.000001609588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002848072,"about_ca_system_score_gemma":0.0001395857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002838315,"about_ca_topic_score_gemma":0.009222007,"domain_scores_codex":[0.9985353,0.00006710358,0.0004425709,0.0003329568,0.00033975,0.0002823082],"domain_scores_gemma":[0.9984797,0.0001833306,0.0004525705,0.0004274792,0.0004335975,0.00002337828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001970511,0.0007537999,0.9258258,0.002028279,0.0004704899,0.00008040353,0.01184926,0.001413381,0.01424295,0.0341405,0.00009010642,0.007134483],"study_design_scores_gemma":[0.008820388,0.0004605372,0.6973578,0.002158309,0.001672837,0.000008855354,0.1061004,0.1542802,0.001599033,0.001707699,0.02359468,0.00223925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917694,0.0002254821,0.0002522771,0.001253111,0.00003600027,0.0002796407,0.000204269,0.00002983842,0.005949943],"genre_scores_gemma":[0.9986809,0.0002676434,0.0005858635,0.00005769707,0.00002556386,0.000001834402,0.00004473575,0.00002168082,0.0003140954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2284681,"threshold_uncertainty_score":0.9135869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}