{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":58,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":58,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"0d2d3892251c","filters":{"venue":"Environment and Development Economics"}},"results":[{"id":"W2105011836","doi":"10.1017/s1355770x03001232","title":"Risk coping strategies in tropical forests: floods, illnesses, and resource extraction","year":2004,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":203,"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":"Flood myth; Coping (psychology); Fishing; Microinsurance; Livelihood; Business; Natural resource economics; Bushmeat; Environmental resource management; Economics; Geography; Agriculture; Risk management; Fishery; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.007653138748124242,"gpt":0.1772338545441297,"spread":0.1695807157960055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006748855,0.0001105061,0.0001090043,0.000008496355,0.0001951602,0.0000652594,0.00005418288,0.00006615945,0.00002662975],"category_scores_gemma":[0.000004045628,0.00004628827,0.00001225616,0.00002551829,0.00006366736,0.0001987299,0.0000572697,0.00008967652,0.00001083017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006995875,"about_ca_system_score_gemma":0.00000796184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000773666,"about_ca_topic_score_gemma":0.001190019,"domain_scores_codex":[0.9993541,0.00001532711,0.0001804123,0.0002426971,0.00004321682,0.0001642417],"domain_scores_gemma":[0.9998071,0.00004181002,0.00006343995,0.00002158856,0.00000141157,0.00006470783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005069198,0.0001077557,0.8242494,0.00001012846,0.00001513558,0.000006778834,0.0009151695,0.00370563,0.002012709,0.001765795,0.00003903051,0.1671218],"study_design_scores_gemma":[0.0002084614,0.00004211204,0.9656469,0.000009592578,0.000002324637,0.000006567508,0.001452412,0.00001583082,0.0006315591,0.0008525201,0.03098108,0.0001506754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989666,0.0003797535,0.00005449944,0.00031031,0.00002851982,0.0001126705,0.000002292911,0.00001284677,0.0001325192],"genre_scores_gemma":[0.9955109,0.003488334,0.0008481948,0.00003350871,0.00004736557,0.00001074516,0.00001715958,6.553639e-7,0.00004312209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1669711,"threshold_uncertainty_score":0.1887581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101495086","doi":"10.1017/s1355770x0400186x","title":"Biodiversity and nature-based tourism at forest reserves in Uganda","year":2005,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":189,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Biodiversity; Tourism; Revenue; Protected area; Nature reserve; Willingness to pay; Geography; Natural resource economics; Ecotourism; Agriculture; Value (mathematics); Environmental resource management; Business; Nature tourism; Agroforestry; Environmental protection; Ecology; Economics; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.03911117301221007,"gpt":0.1687823732576189,"spread":0.1296712002454089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003741384,0.0001768284,0.0002546766,0.000145283,0.0001537131,0.00004003573,0.00009354422,0.0001607924,0.0005054745],"category_scores_gemma":[0.000005915767,0.0002245018,0.00002843424,0.00001841559,0.00009490307,0.000277319,0.0001823818,0.0001294003,0.0006619085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005849756,"about_ca_system_score_gemma":0.00001002802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003143407,"about_ca_topic_score_gemma":0.0002395691,"domain_scores_codex":[0.9988108,0.000008398554,0.0004486215,0.0004732214,0.00001922174,0.0002396927],"domain_scores_gemma":[0.9995478,0.0000311588,0.0001622319,0.0001577682,8.135061e-7,0.0001001627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001955834,0.00004708307,0.9955491,0.000006778758,0.00001730121,9.190913e-7,0.0002587131,0.001300503,0.000003625895,0.001000154,0.0001899852,0.00160623],"study_design_scores_gemma":[0.0011147,0.00002072349,0.8951938,0.000003644212,0.00000232859,0.000001306833,0.00005112045,0.001536797,0.0002887275,0.00058121,0.1009312,0.0002745281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957769,0.001395072,0.0000974047,0.0009813542,0.0000678458,0.0001791102,0.00002906416,0.00001087325,0.001462405],"genre_scores_gemma":[0.9927772,0.001655596,0.004368208,0.0004674227,0.00003400143,0.00001834425,0.00007789007,0.00001205465,0.0005892674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007412,"threshold_uncertainty_score":0.9154917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2257491648","doi":"10.1017/s1355770x18000232","title":"Crop productivity and adaptation to climate change in Pakistan","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Economic and Social Research Council; International Development Research Centre","keywords":"Counterfactual thinking; Productivity; Adaptation (eye); Agriculture; Climate change; Propensity score matching; Matching (statistics); Business; Economics; Agricultural productivity; Natural resource economics; Environmental resource management; Agricultural economics; Agricultural science; Geography; Economic growth; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.0244813721755336,"gpt":0.2148508373252821,"spread":0.1903694651497485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000127688,0.0000810639,0.00007784944,0.000007636704,0.000137935,0.00002906359,0.00004109872,0.00003055034,0.00004387952],"category_scores_gemma":[0.000001884681,0.00003327732,0.000005598094,0.0000309223,0.00004878279,0.000120358,0.00008927224,0.00002758949,0.00004223831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003489853,"about_ca_system_score_gemma":0.000001751615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004667689,"about_ca_topic_score_gemma":0.001294173,"domain_scores_codex":[0.9994258,0.0000107667,0.0001296787,0.0002455117,0.00003117662,0.0001570807],"domain_scores_gemma":[0.9998631,0.00001319856,0.00003452922,0.00001961463,0.000002716802,0.00006680693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000259247,0.0000300393,0.289334,0.000002729982,0.000002012042,5.305837e-7,0.002246872,0.000007677581,0.002435574,0.0001176866,0.000009905744,0.7057871],"study_design_scores_gemma":[0.00005697617,0.00007174212,0.970072,0.000005490501,7.811552e-7,0.000001217217,0.0003474147,0.00006329772,0.0007826428,0.00003650882,0.02844523,0.0001166879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989345,0.00007567322,0.000003198143,0.000599062,0.00003439208,0.0002027122,0.000003139991,0.000008002888,0.0001392942],"genre_scores_gemma":[0.9980012,0.0006479531,0.001041266,0.0001063826,0.0001008601,0.00002431946,0.000008507484,4.577531e-7,0.00006907236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7056704,"threshold_uncertainty_score":0.135701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166211670","doi":"10.1017/s1355770x0800452x","title":"China's industrial SO<sub>2</sub> emissions and its economic determinants: EKC's reduced vs. structural model and the role of international trade","year":2008,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":84,"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":"Kuznets curve; Economics; Purchasing power parity; China; Per capita; Per capita income; Heavy industry; International trade; International economics; Population; Econometrics; Macroeconomics; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01758250315439716,"gpt":0.1767910514788274,"spread":0.1592085483244302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003715961,0.0003196335,0.0005836426,0.0001491491,0.0003390954,0.00006223265,0.0002459938,0.000181432,0.00007194524],"category_scores_gemma":[0.000018751,0.0003251145,0.00006812666,0.00001631159,0.0004283038,0.0003790977,0.0003248587,0.0001920312,0.00002348559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562078,"about_ca_system_score_gemma":0.00005505757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002093349,"about_ca_topic_score_gemma":0.000008451893,"domain_scores_codex":[0.9980096,0.00002017148,0.0009857782,0.0006431643,0.00003278778,0.0003085397],"domain_scores_gemma":[0.9989341,0.00005165388,0.0006030052,0.0002418149,0.000001011239,0.0001683541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001115705,0.0002822848,0.7365175,0.00006199813,0.001226795,0.000009004942,0.01405127,0.03478486,0.003454965,0.1563547,0.0003075292,0.05183336],"study_design_scores_gemma":[0.0107129,0.0001147335,0.6762002,0.00003439322,0.00004737409,0.0001350088,0.0003645472,0.2376743,0.030589,0.0186506,0.02383409,0.00164296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968178,0.001249446,0.00003147142,0.0006169847,0.0001986422,0.0002985864,0.0001177868,0.00001204355,0.0006572123],"genre_scores_gemma":[0.9864174,0.01251198,0.0006823075,0.00009456191,0.00009040716,0.00004449348,0.00003246279,0.00003781848,0.00008858203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028894,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994809149","doi":"10.1017/s1355770x08004993","title":"Commons as insurance: safety nets or poverty traps?","year":2009,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Poverty trap; Subsistence agriculture; Poverty; Trap (plumbing); Context (archaeology); Natural resource; Population; Business; Economics; Safety net; Property rights; Natural resource economics; Public economics; Economic growth; Geography; Microeconomics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01092741154594704,"gpt":0.176301729911112,"spread":0.165374318365165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008115423,0.000159368,0.0001587333,0.000005459598,0.0003175843,0.00004284974,0.0001398491,0.00007635389,0.000520532],"category_scores_gemma":[0.000002879841,0.00005327088,0.00003057253,0.00003596913,0.00004340676,0.0001437711,0.00005024716,0.0000770742,0.0001480326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005478877,"about_ca_system_score_gemma":0.000009123472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000135988,"about_ca_topic_score_gemma":0.0000918896,"domain_scores_codex":[0.9991729,0.00001545916,0.0002330402,0.0002759525,0.00006711788,0.0002355932],"domain_scores_gemma":[0.9997119,0.00004639175,0.00006867028,0.00003942634,0.000002739534,0.0001308224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001785949,0.0001566953,0.1162402,0.000002103789,0.00002281431,0.000006801401,0.0003919552,0.00009061017,0.004142858,0.0004017036,0.001307156,0.8770585],"study_design_scores_gemma":[0.0001233617,0.0001028514,0.6974749,0.000003890686,0.000001829711,0.000008549448,0.0001115621,0.000007093299,0.0005487431,0.0001229351,0.3013331,0.0001612149],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995499,0.0001741326,0.000003913734,0.001818128,0.00004886017,0.0001493348,0.00001002307,0.00002678032,0.002269811],"genre_scores_gemma":[0.9933723,0.003154307,0.0003788745,0.001204601,0.00005453235,0.000005069063,0.00005217594,5.957493e-7,0.001777561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8768973,"threshold_uncertainty_score":0.569946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157469891","doi":"10.1017/s1355770x08004671","title":"Game theory and the development of resource management policy: the case of international fisheries","year":2008,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Game theory; Relevance (law); Resource (disambiguation); Economics; Positive political theory; Resource management (computing); Management science; Computer science; Microeconomics; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.01992498816374112,"gpt":0.1788725680931198,"spread":0.1589475799293787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776287,0.00013177,0.000270579,0.00009540098,0.0002063975,0.0000192847,0.0001863403,0.00004013683,0.00005779671],"category_scores_gemma":[0.00001797386,0.00009901189,0.00003543858,0.00002990823,0.0004869379,0.00007052632,0.0002335942,0.00006312691,0.00001847498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006227843,"about_ca_system_score_gemma":0.00001873778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001421619,"about_ca_topic_score_gemma":0.000006866969,"domain_scores_codex":[0.9988502,0.0000479297,0.0007219589,0.0002189486,0.00002346333,0.0001375584],"domain_scores_gemma":[0.999182,0.0001749842,0.0004019901,0.0002036075,0.000003386033,0.00003396967],"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":[0.0002229457,0.00006344867,0.03817227,0.00006392247,0.0004294687,0.000008752551,0.03403303,0.0001480162,0.000001754393,0.9137465,0.00006176619,0.01304818],"study_design_scores_gemma":[0.005195646,0.00005530114,0.162714,0.00006960273,0.00002914506,0.0004460024,0.01357689,0.0004933476,0.001028241,0.06694007,0.7486824,0.0007693546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827436,0.0006638989,0.00134648,0.0003586416,0.00007932248,0.0002374551,0.00001206317,0.000006132539,0.01455247],"genre_scores_gemma":[0.9951331,0.0008061269,0.002109563,0.0001010099,0.00003131505,0.00003160789,0.000007005128,0.00001168251,0.001768612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8468064,"threshold_uncertainty_score":0.4037587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158440709","doi":"10.1017/s1355770x06002877","title":"Maximin: a direct approach to sustainability","year":2006,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":60,"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":"Minimax; Economics; Mathematical economics; Simple (philosophy); Shadow (psychology); Hyperbolic discounting; Intergenerational equity; Microeconomics; Discounting; Sustainability; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01425605296523933,"gpt":0.1564287802939455,"spread":0.1421727273287062,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004808293,0.0002296134,0.0004047161,0.0001290638,0.0001657216,0.00009063641,0.0001624643,0.00008837885,0.0001688635],"category_scores_gemma":[0.000009213893,0.0002830586,0.00005414552,0.00003199873,0.00007043045,0.0001806825,0.000186074,0.00007148408,0.000423167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982714,"about_ca_system_score_gemma":0.00002895998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009063382,"about_ca_topic_score_gemma":0.000008461918,"domain_scores_codex":[0.9982359,0.000007141085,0.0006718159,0.0006783978,0.00001464842,0.0003920984],"domain_scores_gemma":[0.9993542,0.00002309029,0.0001657713,0.0003136779,0.000004375387,0.000138872],"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":[0.00004987578,0.0003382626,0.09066442,0.00005101933,0.00007705874,0.000001255609,0.001341718,0.01141489,0.000002583277,0.8869486,0.001468609,0.00764172],"study_design_scores_gemma":[0.000617714,0.00003521044,0.05996019,0.00000245376,0.000003761066,0.00000353822,0.0002600296,0.001111292,0.0001108236,0.09185004,0.8453683,0.0006765944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8091584,0.0005994591,0.01740819,0.0004858839,0.0001678174,0.0005377961,0.00005082338,0.00004957767,0.1715421],"genre_scores_gemma":[0.9718311,0.0001513726,0.02165156,0.0002550475,0.0001005215,0.0001267628,0.00005287228,0.00003586619,0.005794834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8438997,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158856133","doi":"10.1017/s1355770x00000255","title":"Trade and environment: policy linkages","year":2000,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; International economics; Pareto principle; Incentive; Free trade; International trade; Commercial policy; Environmental policy; Pollution; Negotiation; Trade barrier; Natural resource economics; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.03989258290912806,"gpt":0.1914843549254802,"spread":0.1515917720163521,"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":[0.0002642533,0.0002874691,0.0004095628,0.0001728742,0.0002364383,0.0001063149,0.0001336136,0.0001456416,0.003281064],"category_scores_gemma":[0.000004758806,0.0003669749,0.00004656128,0.00002480267,0.0001583977,0.0002742289,0.0001117878,0.0001226262,0.001899561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175506,"about_ca_system_score_gemma":0.00001435805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003853148,"about_ca_topic_score_gemma":0.00000409992,"domain_scores_codex":[0.9982651,0.00000775207,0.0006567931,0.0006134776,0.00001693958,0.0004398859],"domain_scores_gemma":[0.9993269,0.00003433488,0.0001649195,0.0002538946,3.926328e-7,0.0002195394],"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":[0.0001165481,0.0006111927,0.2846662,0.0001932263,0.0006001721,0.000013838,0.0190487,0.001687756,0.00004116657,0.2026107,0.001392309,0.4890182],"study_design_scores_gemma":[0.0008653548,0.00004000195,0.1053897,0.000006004139,0.000005098034,0.00001560036,0.0001202104,0.000559011,0.0001027732,0.01425336,0.8780569,0.0005859958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731142,0.002556621,0.0001135007,0.003408746,0.00006747948,0.000236546,0.0001247824,0.00003689767,0.02034121],"genre_scores_gemma":[0.8428703,0.1389827,0.007539443,0.002766413,0.0004626139,0.0001010765,0.0001509776,0.0001086035,0.007017875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8766646,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069678898","doi":"10.1017/s1355770x00000048","title":"Sustainability accounting and green accounting","year":2000,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":41,"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":"Economics; National accounts; Environmental accounting; Sustainability; Order (exchange); Welfare; National Income and Product Accounts; Accounting; Ecology; Finance; Market economy","retraction":null,"screen_n_in":null,"score":{"opus":0.005557494479860898,"gpt":0.1775350798129897,"spread":0.1719775853331288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004282429,0.0003298913,0.0002441204,0.00005251651,0.0004924308,0.0001084832,0.0001737573,0.0001105729,0.007073357],"category_scores_gemma":[0.000009307152,0.0003492193,0.0000286244,0.00005720675,0.0003446986,0.0006621021,0.0005025336,0.0001400873,0.0007077457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000712726,"about_ca_system_score_gemma":0.00002584442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002143755,"about_ca_topic_score_gemma":0.00002665922,"domain_scores_codex":[0.9981282,0.00002557014,0.0004280251,0.0006697747,0.0001457031,0.000602746],"domain_scores_gemma":[0.9994373,0.00004226708,0.00009396625,0.0002260985,0.000001594974,0.0001987965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002381825,0.00004706292,0.5195028,0.0000208684,0.00002093049,0.000004724977,0.001359294,0.0004977122,0.00002672219,0.00005322853,0.0001661741,0.4782766],"study_design_scores_gemma":[0.000503357,0.00001872908,0.659811,0.000004339743,0.000009482682,0.00001381961,0.000676691,0.0004015004,0.000151368,0.001655667,0.3362424,0.0005117042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890386,0.00008106564,0.00003437975,0.0005740352,0.00002736528,0.0003163729,0.000001703001,0.00004460669,0.009881797],"genre_scores_gemma":[0.9854109,0.0008694243,0.004123476,0.0006759464,0.00006010476,0.00005739399,0.00002298412,0.00004116373,0.008738605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4777649,"threshold_uncertainty_score":0.999896,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160583690","doi":"10.1017/s1355770x14000631","title":"Household participation in a Payments for Environmental Services programme: the Nhambita Forest Carbon Project (Mozambique)","year":2014,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Residence; Household income; Payment; Socioeconomics; Business; Social capital; Instrumental variable; Economic growth; Economics; Agricultural economics; Geography; Demographic economics; Finance; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.01798682730061243,"gpt":0.187898898141741,"spread":0.1699120708411286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004973781,0.0002004241,0.000150893,0.00004665494,0.0002655233,0.00006710106,0.0001941836,0.00006468082,0.00005526055],"category_scores_gemma":[0.000003340997,0.0001665548,0.00003261806,0.00003624026,0.0001411441,0.0001213625,0.000352238,0.00006610424,0.00003023207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328125,"about_ca_system_score_gemma":0.000007822426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002197541,"about_ca_topic_score_gemma":0.0009585295,"domain_scores_codex":[0.9987373,0.00004439701,0.0003135819,0.0004195758,0.0001253054,0.0003597859],"domain_scores_gemma":[0.9995436,0.0000481662,0.0001301702,0.0002098594,6.098164e-7,0.00006759229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003044941,0.0001427381,0.9687982,0.00001720745,0.00001899205,3.257109e-7,0.001592061,0.001573731,0.00003004774,0.00001091944,0.00003461639,0.02775071],"study_design_scores_gemma":[0.0007647262,0.00005621236,0.7992851,0.000005859518,0.00001533239,4.773678e-7,0.000531719,0.006123654,0.0001088247,0.00008000029,0.1928188,0.0002093952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973459,0.00002743737,0.0001527218,0.0003246838,0.00005337916,0.001139395,0.000006277455,0.00001996877,0.000930278],"genre_scores_gemma":[0.9967892,0.0001611104,0.00141005,0.0004437017,0.00002733836,0.0003178231,0.00008161489,0.00001710448,0.0007521014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927841,"threshold_uncertainty_score":0.679191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156638819","doi":"10.1017/s1355770x14000679","title":"Where is the money? Post-disaster foreign aid flows","year":2014,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"International Development and Aid","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Natural disaster; Humanitarian aid; Business; Aid effectiveness; Diversity (politics); Development economics; Economics; Natural resource economics; Developing country; Economic growth; Political science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01032645377612981,"gpt":0.1979784144287528,"spread":0.187651960652623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004795385,0.0001333978,0.0001109114,0.00003531276,0.0005897406,0.0001183325,0.0002143426,0.00006534874,0.001489826],"category_scores_gemma":[0.00001121294,0.0001069265,0.00003326595,0.00001734544,0.0001219808,0.0002017333,0.0001094145,0.00007270421,0.0006791651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280974,"about_ca_system_score_gemma":0.00006336665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004001507,"about_ca_topic_score_gemma":0.0002747134,"domain_scores_codex":[0.9991074,0.00003963556,0.000228873,0.000232943,0.0001393231,0.0002518847],"domain_scores_gemma":[0.9996461,0.00007008346,0.00007623537,0.0001123058,0.000009234369,0.00008601147],"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":[0.00009708126,0.0001561221,0.175019,0.00003218608,0.0003084333,0.000002437576,0.1092115,0.0001444487,0.00008281546,0.5462437,0.01617406,0.1525283],"study_design_scores_gemma":[0.0002627815,0.00001291261,0.02033214,0.000007968745,0.000004532479,5.890084e-7,0.002179368,0.0001470904,0.0001326992,0.004511854,0.9721988,0.0002092215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762866,0.0001461763,0.0004184278,0.008555693,0.0002754579,0.0002790751,0.00000456508,0.00002811668,0.1140059],"genre_scores_gemma":[0.9702895,0.001632875,0.006825446,0.003927495,0.0003254689,0.00005158356,0.00002970542,0.00002316933,0.01689471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9560248,"threshold_uncertainty_score":0.999423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2795545988","doi":"10.1017/s1355770x18000116","title":"Climate, crops, and forests: a pan-tropical analysis of household income generation","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Livelihood; Agriculture; Climate change; Tropics; Agroforestry; Precipitation; Agricultural productivity; Household income; Geography; Production (economics); Agricultural economics; Natural resource economics; Environmental science; Economics; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.03548722110308412,"gpt":0.2000769900484237,"spread":0.1645897689453396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008469377,0.0001135111,0.0001943349,0.00002430017,0.0001310861,0.00004600436,0.00005805368,0.00007138269,0.0001836865],"category_scores_gemma":[0.00000411175,0.00004909893,0.00002739617,0.00007498904,0.00008990984,0.00009393746,0.0001135235,0.00003321233,0.000007193218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004338675,"about_ca_system_score_gemma":0.000002292944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001600743,"about_ca_topic_score_gemma":0.001422279,"domain_scores_codex":[0.9993126,0.00001330484,0.000231427,0.0002274676,0.00005037926,0.0001648622],"domain_scores_gemma":[0.9997461,0.00003029594,0.0001013183,0.00003929025,0.000005487828,0.00007753362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000171967,0.00004876371,0.9650712,0.00000462083,0.0001120593,4.451192e-7,0.0003043262,0.00001237559,0.01063441,0.0001203125,0.00006633971,0.02360795],"study_design_scores_gemma":[0.0001013013,0.00008229363,0.9914249,0.000003291489,0.00004536272,0.000001264774,0.0001111242,0.0002795701,0.00206028,0.00001568919,0.005747313,0.0001275633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994789,0.00009025943,0.000008383788,0.0001686374,0.00002709402,0.00009870392,0.00005460044,0.00001194073,0.0000614259],"genre_scores_gemma":[0.9977956,0.001194001,0.0006196572,0.00009920619,0.0001013353,0.000006874086,0.0001514219,9.454402e-7,0.00003089586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02635375,"threshold_uncertainty_score":0.2011238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062034709","doi":"10.1017/s1355770x13000399","title":"A differential game of international pollution control with evolving environmental costs","year":2013,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Differential game; Externality; Developing country; Dividend; Economics; Differential (mechanical device); Term (time); Action (physics); Natural resource economics; Control (management); Game theory; Environmental economics; Microeconomics; Business; Economic growth; Finance; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01630914578791664,"gpt":0.162368377687039,"spread":0.1460592318991223,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000996958,0.0001973726,0.0003361663,0.0001463981,0.00007070733,0.00006826298,0.0001416513,0.00008120434,0.004239448],"category_scores_gemma":[0.0000044097,0.0002190743,0.00004336441,0.00001352558,0.0001157929,0.0003729233,0.00009692445,0.00007666696,0.0005975529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003691447,"about_ca_system_score_gemma":0.000009758321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006137343,"about_ca_topic_score_gemma":0.00000759255,"domain_scores_codex":[0.998754,0.000005733462,0.0005964169,0.0003584003,0.00002518231,0.0002603211],"domain_scores_gemma":[0.9993361,0.00002295245,0.0003695018,0.0001639752,0.000002529795,0.000104991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001138695,0.0003486879,0.9740682,0.00003094793,0.0004899869,0.000001230886,0.002044041,0.000519051,0.0005877816,0.01235932,0.0002262383,0.009210678],"study_design_scores_gemma":[0.004307146,0.0001349914,0.948145,0.00002429634,0.00001584777,0.0000141656,0.0004661481,0.009974536,0.001295555,0.002368283,0.03243481,0.0008192023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933414,0.0002779333,0.002443419,0.0004298278,0.0001633689,0.0003025592,0.0001519337,0.00001271629,0.002876859],"genre_scores_gemma":[0.9964316,0.001222057,0.001608378,0.0002008289,0.00006929455,0.00006485818,0.00008774237,0.00002479979,0.0002904648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03220857,"threshold_uncertainty_score":0.9966708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W22866897","doi":"10.1017/s1355770x16000097","title":"Adaptation to climate change: how does heterogeneity in adaptation costs affect climate coalitions?","year":2016,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Incentive; Adaptation (eye); Climate change; Economics; Carbon leakage; Affect (linguistics); Natural resource economics; Public economics; Developing country; Business; Environmental resource management; Microeconomics; Climate policy; Ecology; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.1000929905797222,"gpt":0.2381130677044279,"spread":0.1380200771247056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006787581,0.0002740444,0.0004107554,0.0003227559,0.000167931,0.0001114351,0.0001302989,0.0001244559,0.0001660202],"category_scores_gemma":[0.0000231762,0.0002585727,0.00005348391,0.00005140142,0.00005162243,0.0006297724,0.0001855845,0.00006474284,0.0008915381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007567109,"about_ca_system_score_gemma":0.0000108533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006533043,"about_ca_topic_score_gemma":0.001118487,"domain_scores_codex":[0.9980864,0.00002218778,0.0006391538,0.0006492246,0.00002448482,0.0005785499],"domain_scores_gemma":[0.9991772,0.00008265441,0.000305006,0.0002496079,0.000004440345,0.0001810835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002719779,0.0002914737,0.7883853,0.0001441508,0.0001071641,0.000006148125,0.01063576,0.0006691924,0.000111112,0.0693387,0.00009617092,0.1299429],"study_design_scores_gemma":[0.004571648,0.0002369484,0.8677185,0.0002161227,0.00001521474,0.00001017,0.0023687,0.006098145,0.00176374,0.006307152,0.1085185,0.002175174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922478,0.0002701819,0.002192291,0.003308959,0.0003138504,0.0006169718,0.0005199034,0.00003450834,0.0004955823],"genre_scores_gemma":[0.9813962,0.01304165,0.004189438,0.0006651101,0.0001224812,0.0003685701,0.0001004201,0.00004090546,0.00007523519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277677,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2046283929","doi":"10.1017/s1355770x13000156","title":"Fisheries subsidies and potential catch loss in SIDS Exclusive Economic Zones: food security implications","year":2013,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Overfishing; Subsidy; Food security; Livelihood; Small Island Developing States; Fishery; Exclusive economic zone; Natural resource economics; Revenue; Economics; Fishing; Business; Agriculture; Ecology; Biology; Finance; Climate change","retraction":null,"screen_n_in":null,"score":{"opus":0.009329179877356448,"gpt":0.1861854069515529,"spread":0.1768562270741964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001069857,0.0001843902,0.000188294,0.00004356629,0.0001899934,0.0001018452,0.0001433526,0.00007891493,0.00486424],"category_scores_gemma":[0.000002812089,0.0001944421,0.00001889779,0.00002286129,0.0003343108,0.0004625474,0.000699357,0.0001103559,0.0002585981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346728,"about_ca_system_score_gemma":0.00001988563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002639068,"about_ca_topic_score_gemma":0.0004784628,"domain_scores_codex":[0.9988607,0.00002119855,0.000308919,0.0004289296,0.00005293767,0.0003272929],"domain_scores_gemma":[0.9995793,0.00003094872,0.00006336764,0.0001857694,0.000001078189,0.0001396044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001119044,0.00004174038,0.9787961,0.000008660344,0.00001882826,0.000001044615,0.001387437,0.00009465212,0.00002578146,0.0002353325,0.0003069404,0.01907229],"study_design_scores_gemma":[0.0004457076,0.00006490033,0.9411671,0.000001616929,0.000003385846,0.000009702067,0.0007457391,0.000414041,0.000142155,0.004593831,0.05208718,0.0003246444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888281,0.00002910456,0.000069884,0.001029032,0.00003486883,0.0003584678,0.000008475616,0.00001181584,0.009630249],"genre_scores_gemma":[0.995615,0.001887998,0.001488919,0.0001206913,0.00002351557,0.0001802309,0.00003129285,0.00001573021,0.0006366172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05178025,"threshold_uncertainty_score":0.9960455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123707963","doi":"10.1017/s1355770x03001268","title":"Land tenure and conflict resolution: a game theoretic approach in the Narok district in Kenya","year":2004,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"International Institute for Sustainable Development","funders":"","keywords":"Disadvantaged; Land tenure; Interdependence; Order (exchange); Citizen journalism; Settlement (finance); Economics; Business; Agriculture; Economic growth; Political science; Geography; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.01222663094223576,"gpt":0.1599274158351331,"spread":0.1477007848928974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873828,0.00009116202,0.0001003165,0.000009417488,0.00009137905,0.00003864053,0.00006466657,0.00005686757,0.00001924166],"category_scores_gemma":[9.02034e-7,0.00001955682,0.00001143282,0.00002899491,0.00008359341,0.00005140945,0.00004079169,0.00007365945,0.00000520052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004343472,"about_ca_system_score_gemma":0.00000547315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000425787,"about_ca_topic_score_gemma":0.0001402188,"domain_scores_codex":[0.9994724,0.00001484422,0.0001497733,0.000177565,0.00003897756,0.0001464024],"domain_scores_gemma":[0.9998834,0.00002188998,0.0000313888,0.00002917845,6.874164e-7,0.00003351536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001530199,0.0007043527,0.8494535,0.00003806742,0.00004159562,0.00003563308,0.01452115,0.001619552,0.0001817466,0.01245009,0.00005446259,0.1207468],"study_design_scores_gemma":[0.0004756837,0.00004251128,0.9109198,0.000007367772,0.00000170802,0.00001605579,0.0004728023,0.0000623544,0.00001991167,0.001311524,0.08654162,0.0001286113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978058,0.0002443412,0.000005000964,0.001065315,0.00001450372,0.0001602895,0.000003646359,0.000003877542,0.00069727],"genre_scores_gemma":[0.9970186,0.002491099,0.0001405308,0.0001235627,0.00003618951,0.00001521929,0.0000397052,5.918918e-7,0.0001344795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206182,"threshold_uncertainty_score":0.0797504,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143495729","doi":"10.1017/s1355770x02000141","title":"Green accounting using imperfect, current prices","year":2002,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":23,"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":"Economics; Imperfect; Shadow price; National accounts; Measure (data warehouse); Econometrics; Linearization; Natural resource; Partial equilibrium; Index (typography); Welfare; Microeconomics; Macroeconomics; General equilibrium theory; Computer science; Mathematics; Nonlinear system; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02061884636643143,"gpt":0.1992045523724646,"spread":0.1785857060060331,"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":[0.0002355715,0.0003501237,0.000239958,0.00008212372,0.0004398037,0.00008219802,0.0002268203,0.00008362211,0.006219819],"category_scores_gemma":[0.000005156632,0.0003637411,0.00004358203,0.00007231306,0.0002035788,0.0005804679,0.0006807807,0.0001514496,0.001905004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007968434,"about_ca_system_score_gemma":0.000009553439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000709718,"about_ca_topic_score_gemma":0.00001035328,"domain_scores_codex":[0.9981554,0.00001934318,0.0004410649,0.0005956778,0.0001787942,0.0006097101],"domain_scores_gemma":[0.9993673,0.00002857085,0.0001677191,0.0002270951,0.000001041902,0.0002082948],"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":[0.00001335346,0.0002201756,0.6354026,0.00003849065,0.00005881761,0.000008229445,0.003177891,0.002486032,0.0005028239,0.00009470628,0.0009949888,0.3570019],"study_design_scores_gemma":[0.001014831,0.00003765972,0.2802148,0.00001814062,0.00002926745,0.00003024208,0.0004762888,0.01098596,0.001056743,0.0003923579,0.7044727,0.00127103],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936741,0.0004515935,0.0002582652,0.0001166291,0.0001302026,0.0002720172,0.000002062331,0.0000434617,0.005051662],"genre_scores_gemma":[0.9794195,0.002681944,0.01479405,0.0004054652,0.0001599779,0.00005522905,0.00002340763,0.00007360589,0.002386773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7034777,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801200105","doi":"10.1017/s1355770x18000104","title":"Mining and petroleum boom and public spending policies in Niger: a dynamic computable general equilibrium analysis","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Computable general equilibrium; Resource curse; Economic rent; Economics; Revenue; Spillover effect; Natural resource economics; Boom; Investment (military); Natural resource; General equilibrium theory; Resource (disambiguation); Oil boom; Macroeconomics; Market economy; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.02082070165852384,"gpt":0.196570269791917,"spread":0.1757495681333931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004946718,0.0002743937,0.0005962749,0.0006397793,0.0001790825,0.0002746744,0.0001327914,0.0001083714,0.0002243059],"category_scores_gemma":[0.000009455476,0.0003268413,0.00004399446,0.0001036987,0.0001777946,0.0003431167,0.0004033577,0.00009522861,0.00006083714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289231,"about_ca_system_score_gemma":0.00001947501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007993689,"about_ca_topic_score_gemma":0.0002265286,"domain_scores_codex":[0.9979454,0.0000111557,0.0007804987,0.0006947775,0.00002642323,0.0005416899],"domain_scores_gemma":[0.9993124,0.00004097567,0.0002698022,0.0001742956,0.000002744194,0.0001997821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001384588,0.00002707618,0.9905704,0.00001241864,0.0002308945,0.000001568333,0.001164738,0.0003197125,0.00001042889,0.001601701,0.00003649894,0.006010764],"study_design_scores_gemma":[0.0009570041,0.00005254659,0.8030536,0.000009774592,0.00001778215,0.000009706243,0.0004869316,0.09863667,0.00003811124,0.001158495,0.09492151,0.0006578874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994786,0.002242458,0.0004265924,0.0003782227,0.0001196089,0.0001361405,0.00001570867,0.00001657182,0.001878711],"genre_scores_gemma":[0.9851398,0.002062302,0.01130871,0.0002116227,0.00005382305,0.00001569013,0.00003919424,0.0000248004,0.001144036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1875168,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2805463235","doi":"10.1017/s1355770x18000153","title":"Effects of ups and downs of the Mongolian mining sector","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Prosperity; Economics; Boom; Dutch disease; Agriculture; Unemployment; Computable general equilibrium; Natural resource; Natural resource economics; Economy; Monetary economics; Macroeconomics; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.01076664592595437,"gpt":0.1486532862827209,"spread":0.1378866403567666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002305954,0.0001543246,0.0003407253,0.00008546781,0.0001112332,0.00001933523,0.0001527217,0.00007616901,0.0001440421],"category_scores_gemma":[0.00001609287,0.000141071,0.00004169441,0.00003256448,0.0002166723,0.00008888783,0.0002382575,0.00005760693,0.00003553365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007721229,"about_ca_system_score_gemma":0.00001822287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002388852,"about_ca_topic_score_gemma":0.0000112984,"domain_scores_codex":[0.9988737,0.000006768065,0.0005963867,0.000303775,0.00001985993,0.0001995818],"domain_scores_gemma":[0.9993035,0.00005365269,0.0004001205,0.0001674701,0.000003830315,0.00007140206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004222582,0.00008440494,0.9623443,0.0001745808,0.0002268845,6.302142e-7,0.006669866,0.00003551569,0.0002168475,0.009041453,0.0002145713,0.02094873],"study_design_scores_gemma":[0.0008690528,0.00006480316,0.8496578,0.00003391329,0.000007924257,0.000003714836,0.0002188168,0.000356252,0.007965894,0.001386266,0.1391353,0.0003001559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963984,0.001109653,0.00009670075,0.0001055769,0.0002164062,0.0002008627,0.00001099464,0.000004759965,0.001856606],"genre_scores_gemma":[0.994498,0.0008152516,0.003640498,0.00009204409,0.00004278255,0.0000118991,0.000002530957,0.00001521411,0.0008817759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1389208,"threshold_uncertainty_score":0.5752708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886409982","doi":"10.1017/s1355770x18000335","title":"Climate risk and food availability in Guatemala","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Agriculture; Computable general equilibrium; Agricultural productivity; Agricultural economics; Livestock; Productivity; Natural resource economics; Consumption (sociology); Distribution (mathematics); Climate change; Production (economics); Economics; Food security; Food processing; Environmental science; Geography; Ecology; Economic growth; Forestry; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.006846809100172778,"gpt":0.1430788111491582,"spread":0.1362320020489854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161448,0.00009933944,0.0000919999,0.00005231478,0.00005652283,0.00003402442,0.00003558105,0.00003360866,0.00007100605],"category_scores_gemma":[0.000001294668,0.0001048495,0.000005988633,0.00001403524,0.00004494971,0.0001027774,0.00007928102,0.00003976263,0.0000632388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239177,"about_ca_system_score_gemma":0.000001416752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001037852,"about_ca_topic_score_gemma":0.00002486606,"domain_scores_codex":[0.9994772,0.000007865553,0.0001823177,0.0001604674,0.00002132219,0.0001508159],"domain_scores_gemma":[0.9998518,0.000007927618,0.0000237845,0.00007955617,8.75342e-7,0.00003602581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001487428,0.00002687934,0.9251571,0.00006866881,0.00004146974,4.778502e-7,0.002541779,0.0146515,0.00001113531,0.0001450744,0.00006994459,0.05727106],"study_design_scores_gemma":[0.0009743187,0.00007644355,0.8280817,0.00001568664,0.00001148547,8.547533e-7,0.0001633314,0.0699103,0.001126315,0.0003203519,0.09886627,0.0004529772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967055,0.0001059212,0.001097176,0.00001107744,0.00004552502,0.0001271119,0.000002367359,0.000032479,0.001872812],"genre_scores_gemma":[0.9922459,0.002345704,0.005273016,0.00001592059,0.00002307083,0.00001178395,0.00001127272,0.00001291704,0.00006042997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09879633,"threshold_uncertainty_score":0.4275641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998734719","doi":"10.1017/s1355770x02000062","title":"The impacts of economic reform on the efficiency of silviculture: a non-parametric approach","year":2002,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Data envelopment analysis; Economic efficiency; Economics; Economic reform; China; Panel data; Productive efficiency; Natural resource economics; Macroeconomics; Econometrics; Political science; Market economy; Production (economics); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01124520482703269,"gpt":0.1759068737849894,"spread":0.1646616689579567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003533979,0.0001582215,0.0001547516,0.00004181236,0.0002101304,0.00002657141,0.0003168132,0.00004456876,0.0008665483],"category_scores_gemma":[0.000006824616,0.00008994307,0.00004501452,0.0000621101,0.0003086988,0.0000884943,0.000228852,0.0000763778,0.0006916116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000299104,"about_ca_system_score_gemma":0.000005787062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000563732,"about_ca_topic_score_gemma":0.00001370249,"domain_scores_codex":[0.9990704,0.00001704432,0.0003550577,0.0002193529,0.00009818741,0.0002399505],"domain_scores_gemma":[0.9993439,0.00008022222,0.0002228568,0.0002940382,7.118906e-7,0.00005826939],"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":[0.000514534,0.003620443,0.4333957,0.0002906679,0.001280859,0.000004254009,0.03428704,0.1212546,0.001045634,0.0865242,0.1202297,0.1975523],"study_design_scores_gemma":[0.002502808,0.0007072835,0.3189502,0.00003447081,0.0000754897,0.000008886202,0.001372048,0.07957353,0.01137085,0.0009716556,0.583025,0.001407751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342535,0.00008762717,0.00001459498,0.0003098719,0.00004352574,0.0002990951,0.000002498281,0.000004548823,0.06498477],"genre_scores_gemma":[0.9958963,0.001143209,0.0004993074,0.00009993002,0.00001607064,0.00002345107,0.00000358185,0.000009865674,0.002308238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4627953,"threshold_uncertainty_score":0.9488096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2036618357","doi":"10.1017/s1355770x08004609","title":"Game theoretic applications to environmental and natural resource problems","year":2008,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Natural resource; Game theory; Resource (disambiguation); Resource allocation; Public good; Environmental economics; Resource management (computing); Fishing; Common-pool resource; Public goods game; Cooperative game theory; Environmental resource management; Natural resource economics; Computer science; Economics; Microeconomics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.03522234993404684,"gpt":0.240917188098337,"spread":0.2056948381642901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005136972,0.0001585562,0.0001741985,0.00009603456,0.0003611693,0.0000656001,0.0002522414,0.00004439917,0.0002648926],"category_scores_gemma":[0.000009708511,0.000124264,0.0000230448,0.00004282507,0.0003079678,0.0001200833,0.0002815243,0.00008689614,0.001130227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006289031,"about_ca_system_score_gemma":0.00001633742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.164344e-7,"about_ca_topic_score_gemma":9.628735e-7,"domain_scores_codex":[0.9986634,0.00003642876,0.0004084535,0.0005293919,0.0001584356,0.0002039104],"domain_scores_gemma":[0.999174,0.0001939785,0.000102561,0.0003349291,0.000002297066,0.0001922121],"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":[0.0001555045,0.0006558878,0.2056308,0.00002374866,0.0001436587,0.000006595508,0.03086346,0.002927788,0.004196637,0.06721378,0.001849931,0.6863322],"study_design_scores_gemma":[0.0002703831,0.00002376576,0.1141723,0.000002438731,0.00000456532,0.00003439156,0.0005696922,0.0001447503,0.0006564081,0.01461908,0.8692325,0.0002697992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934283,0.0002142724,0.003962711,0.000539407,0.00001849438,0.0005035771,0.00001096252,0.00001916537,0.001303078],"genre_scores_gemma":[0.9901839,0.0003899318,0.004508732,0.0004260555,0.00003094911,0.0001992654,0.00002170866,0.00001263951,0.004226789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8673825,"threshold_uncertainty_score":0.9996475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058769577","doi":"10.1017/s1355770x14000035","title":"The impact of environmental policies on productivity and market competition","year":2014,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Productivity; Competition (biology); Harm; Economics; Porter hypothesis; Welfare; Environmental quality; Technological change; Industrial organization; Natural resource economics; Perfect competition; Environmental regulation; Market power; Microeconomics; Market economy; Ecology; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.0106684162701315,"gpt":0.1716058299065103,"spread":0.1609374136363788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007233561,0.0002518627,0.0003733138,0.0000996853,0.0002558409,0.00005648558,0.0001452038,0.00007655006,0.0002635823],"category_scores_gemma":[0.000017678,0.0002350031,0.00006508058,0.0000161088,0.0003324494,0.000166871,0.0001679841,0.0001040879,0.000121904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355012,"about_ca_system_score_gemma":0.000009069131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002839041,"about_ca_topic_score_gemma":0.000007873754,"domain_scores_codex":[0.9985496,0.00002933638,0.0005928281,0.0005058863,0.00002744579,0.0002948385],"domain_scores_gemma":[0.9989924,0.000119877,0.0004256829,0.0003533145,7.777527e-7,0.0001078801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001092281,0.0003101609,0.8529055,0.00002150215,0.0002812109,3.046771e-7,0.0007200273,0.001940824,0.0001804409,0.1219441,0.0002905097,0.02129615],"study_design_scores_gemma":[0.00056156,0.0001523131,0.9387452,0.00000524428,0.000003667111,0.000003534704,0.00006005219,0.000939554,0.0004341956,0.007339927,0.05144444,0.0003103268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988915,0.0004149502,0.0002244335,0.0002333324,0.0000806025,0.0002057464,0.00005923457,0.00001020781,0.009856456],"genre_scores_gemma":[0.9959741,0.002495606,0.0005355827,0.00005052255,0.00005698071,0.00002932038,0.00001889186,0.00002871975,0.0008103017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146042,"threshold_uncertainty_score":0.9583148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3198929005","doi":"10.1017/s1355770x21000267","title":"Happiness in the tropics: climate variables and subjective wellbeing","year":2021,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; University of Regina","funders":"","keywords":"Happiness; Precipitation; Subjective well-being; Climate change; Tropical climate; Socioeconomics; Economics; Geography; Psychology; Ecology; Social psychology; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.01720038043404035,"gpt":0.2328762805786579,"spread":0.2156759001446176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002910336,0.000112809,0.0001329018,0.00003297188,0.0001259274,0.00004424163,0.0000526937,0.0000760115,0.0002874704],"category_scores_gemma":[0.000005785326,0.00009206253,0.00001258839,0.00002720462,0.00005276971,0.0000548485,0.00005442994,0.0001170355,0.00005069689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000430582,"about_ca_system_score_gemma":0.00000997805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001293718,"about_ca_topic_score_gemma":0.00001971035,"domain_scores_codex":[0.9991524,0.00008618002,0.0002103435,0.000316858,0.00003302957,0.0002011865],"domain_scores_gemma":[0.999674,0.0001077057,0.00005265299,0.0001292048,0.000001836735,0.00003456511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008823931,0.0002156252,0.8718842,0.00002039294,0.000106231,0.00004889737,0.01317793,0.0001170047,0.0001315487,0.0384826,0.0001998376,0.07552751],"study_design_scores_gemma":[0.0005648399,0.00001908154,0.9357436,0.00000762856,0.000005856037,0.00002730564,0.002391813,0.00003139134,0.00006416764,0.001938949,0.05906085,0.0001444955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774404,0.0004485012,0.0003974773,0.0003838919,0.0002099922,0.0001043484,0.000002379182,0.00001043332,0.02100256],"genre_scores_gemma":[0.9952481,0.001946226,0.001664118,0.0006222654,0.00005455459,0.00004068955,0.00001813646,0.000008639092,0.0003972099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07538301,"threshold_uncertainty_score":0.3754201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125790726","doi":"10.1017/s1355770x12000101","title":"Emission taxes when pollution depends on location","year":2012,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Damages; Context (archaeology); Economics; Natural resource economics; Polluter pays principle; Pollution; Population; Environmental economics; Location; Social cost; Microeconomics; Public economics; Geography; Ecology; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.03001780107969387,"gpt":0.1817939310772952,"spread":0.1517761299976013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004068146,0.0001923217,0.0002415607,0.000144799,0.0001838281,0.00004430061,0.0001007353,0.0001191545,0.000314494],"category_scores_gemma":[0.0000138727,0.0002248635,0.00003471351,0.00002170484,0.00004635534,0.0004095472,0.00007894685,0.00009756357,0.00189206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003086092,"about_ca_system_score_gemma":0.00001185473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143258,"about_ca_topic_score_gemma":0.000001599397,"domain_scores_codex":[0.9987663,0.000008398403,0.0005080511,0.000330096,0.00001768741,0.0003694619],"domain_scores_gemma":[0.9993736,0.00001983338,0.0002249899,0.0001928175,0.000001573342,0.0001871486],"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":[0.00008717319,0.0004167114,0.5314851,0.00005330963,0.0001390378,4.937653e-7,0.004291136,0.0004052286,0.00003174957,0.4228006,0.006074851,0.03421462],"study_design_scores_gemma":[0.0008078502,0.00005696046,0.3776543,0.00001348139,0.000004900259,0.000004611838,0.0001201648,0.0004870153,0.001387288,0.04838194,0.5704672,0.0006142929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388772,0.001042898,0.002095862,0.001095914,0.0004520728,0.000214993,0.00004023745,0.00003700627,0.0561438],"genre_scores_gemma":[0.9953739,0.0001873498,0.001959346,0.0007861428,0.0002249283,0.00002827442,0.00004732537,0.00002428994,0.001368428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5643923,"threshold_uncertainty_score":0.9988851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789536649","doi":"10.1017/s1355770x17000432","title":"Public preferences for improved urban waste management: a choice experiment","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Willingness to pay; Mixed logit; Preference; Socioeconomic status; Investment (military); Business; Economics; Discrete choice; Waste collection; Municipal solid waste; Public economics; Logistic regression; Population; Microeconomics; Engineering; Waste management; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.1124026032271184,"gpt":0.2014750257494625,"spread":0.08907242252234414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003960679,0.0002520838,0.0003116668,0.0001376539,0.0002965968,0.0001185286,0.0002005146,0.00009391077,0.0007662529],"category_scores_gemma":[0.000006570742,0.000305101,0.00005620289,0.00002493144,0.0001493212,0.0003712394,0.0001873857,0.00005353129,0.0007152833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279047,"about_ca_system_score_gemma":0.00001184024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007265674,"about_ca_topic_score_gemma":0.000009777979,"domain_scores_codex":[0.9982138,0.000007356375,0.0006737481,0.0006861038,0.0000188231,0.0004001737],"domain_scores_gemma":[0.9992472,0.00002962984,0.0003051641,0.0002727069,0.000003421202,0.0001418918],"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":[0.0001523486,0.0006427832,0.6501738,0.0001681372,0.001276386,6.68307e-7,0.005898697,0.0001223314,0.000229762,0.1975711,0.004891938,0.138872],"study_design_scores_gemma":[0.002366451,0.0002250019,0.09708797,0.00001019009,0.00001399626,0.000001292271,0.0005441455,0.002817615,0.001727577,0.009640152,0.884728,0.0008376737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694883,0.0008604274,0.01037155,0.0004794205,0.0004439529,0.0009384113,0.0000570275,0.00003999921,0.01732097],"genre_scores_gemma":[0.9712422,0.001104837,0.02272788,0.0003812445,0.0003422733,0.0004244802,0.0001357548,0.00004461738,0.003596674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.879836,"threshold_uncertainty_score":0.9999401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150197934","doi":"10.1017/s1355770x02000153","title":"Green national accounting: the case of Chile's mining sector","year":2002,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; National accounts; National Income and Product Accounts; Net national income; Valuation (finance); Measures of national income and output; Depreciation (economics); Economic sector; Economic welfare; Welfare; Human capital; Economy; Public economics; Macroeconomics; Gross income; Capital formation; Economic growth; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01701275884056669,"gpt":0.1821099484435606,"spread":0.1650971896029939,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003190895,0.000212284,0.0001659309,0.00005015704,0.0003392445,0.00003241896,0.0001852118,0.00006581168,0.00609256],"category_scores_gemma":[0.000009633025,0.0001791652,0.00003573065,0.00005877556,0.0002906621,0.0002550535,0.0004155001,0.00008682533,0.0004406206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511056,"about_ca_system_score_gemma":0.000009966502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009584638,"about_ca_topic_score_gemma":0.00004434108,"domain_scores_codex":[0.9987985,0.000022609,0.0003845523,0.000336634,0.000142054,0.0003156395],"domain_scores_gemma":[0.9995086,0.00006679841,0.0001665842,0.0001642531,0.000001705858,0.00009207895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000467924,0.0004965538,0.6757802,0.0000630195,0.0002814118,0.0001573017,0.02261653,0.006480108,0.0004313891,0.001047033,0.01264348,0.2799562],"study_design_scores_gemma":[0.001810354,0.00008467186,0.4906547,0.00001595582,0.00003810382,0.0006770806,0.004526337,0.007933772,0.001926218,0.001211715,0.4898287,0.001292445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832957,0.00008160836,0.00002876996,0.0003961282,0.00004992905,0.0002019901,0.000004621971,0.00001405712,0.01592721],"genre_scores_gemma":[0.9932095,0.0002333391,0.002901904,0.0004324261,0.00005330081,0.00003512753,0.00001015692,0.00002211687,0.003102069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4771852,"threshold_uncertainty_score":0.994816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2766107598","doi":"10.1017/s1355770x17000328","title":"Households' responses to climate change: contingent behavior evidence from rural South Africa","year":2017,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Livelihood; Casual; Climate change; Endogeneity; Economics; Agriculture; Socioeconomics; Geography; Demographic economics; Econometrics; Ecology; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.06403206182895536,"gpt":0.2230266189289035,"spread":0.1589945570999481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001681023,0.0001877309,0.0001830493,0.00000660672,0.0008848586,0.0002407681,0.0003536119,0.00007306274,0.0001341239],"category_scores_gemma":[0.00002279226,0.00007797839,0.00003731572,0.00001274981,0.00008024718,0.0003006032,0.0004707979,0.00006682987,0.0002250182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005542217,"about_ca_system_score_gemma":0.000004826936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008084254,"about_ca_topic_score_gemma":0.0001010507,"domain_scores_codex":[0.9989463,0.00002213878,0.0002299086,0.0003688296,0.00009422078,0.0003386105],"domain_scores_gemma":[0.9994358,0.00007489503,0.0001697459,0.0001158963,0.000005391058,0.0001982346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007053489,0.00003440913,0.8660607,0.00000151695,0.00000833103,0.000004270474,0.002219393,0.000003014506,0.006527412,0.000009613668,0.00005162698,0.1250092],"study_design_scores_gemma":[0.00009243641,0.00006338951,0.9773758,0.00003390788,0.0000102102,0.000001026331,0.0007783486,0.000004529037,0.001914904,0.000008134658,0.01945703,0.0002602838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982478,0.0003957409,0.000001972265,0.0007342828,0.0001232239,0.0003574036,0.0000507235,0.00002753657,0.00006133113],"genre_scores_gemma":[0.9962389,0.002058435,0.0009017837,0.000112611,0.0001805968,0.0001159001,0.00001666316,0.00000156498,0.0003734782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1247489,"threshold_uncertainty_score":0.6805707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2915783609","doi":"10.1017/s1355770x18000554","title":"Elephants and mammoths: the effect of an imperfect legal substitute on illegal activity","year":2019,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":14,"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":"Poaching; Mammoth; CITES; African elephant; Population; Geography; Socioeconomics; Archaeology; Ecology; Demography; Biology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.003469873126454227,"gpt":0.1715702946609508,"spread":0.1681004215344966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003690869,0.0001684543,0.0001971422,0.00002763168,0.0001210324,0.00002573806,0.0001229273,0.00005867553,0.0006340716],"category_scores_gemma":[0.000002911228,0.0001183149,0.00002174994,0.00001695709,0.000140775,0.0002494685,0.000198583,0.00008799417,0.0002315769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007345447,"about_ca_system_score_gemma":0.000004681595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003380278,"about_ca_topic_score_gemma":0.00005652476,"domain_scores_codex":[0.9991911,0.00006027355,0.0001474308,0.0003274505,0.0000712817,0.0002024561],"domain_scores_gemma":[0.9995746,0.00008316959,0.00008417101,0.0001901849,3.265227e-7,0.00006753406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004852313,0.0001067432,0.892497,0.00003046775,0.0001022792,0.000004155188,0.0004849008,0.001604573,0.001834937,0.0004010609,0.0001873213,0.1022613],"study_design_scores_gemma":[0.00100357,0.0006905617,0.940884,0.000003634347,0.000015198,0.000004258507,0.00003395543,0.0005240661,0.006686857,0.00002142729,0.04993241,0.00020007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948658,0.00001875867,0.00001683127,0.00007307227,0.0001017815,0.000457197,0.000001927151,0.000008917556,0.004455679],"genre_scores_gemma":[0.9985211,0.0001478389,0.0001983911,0.00005057658,0.00001570597,0.00002391882,0.000005618623,0.0000103814,0.001026401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020613,"threshold_uncertainty_score":0.6942639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148525507","doi":"10.1017/s1355770x02000177","title":"Technological change and tropical deforestation: a perspective at the household level","year":2002,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Panacea (medicine); Deforestation (computer science); Clearing; Context (archaeology); Technological change; Agriculture; Perspective (graphical); Natural resource economics; Developing country; Economics; Tropical forest; Development economics; Geography; Economic growth; Ecology; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.08442173917429763,"gpt":0.1738143279130002,"spread":0.08939258873870262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008344011,0.0001193542,0.00008528473,0.00002243927,0.0004353174,0.00003276889,0.00009730654,0.00005362402,0.001226826],"category_scores_gemma":[0.000004025141,0.00008822981,0.00001631648,0.00002578783,0.0005387143,0.00008315397,0.0005821528,0.00006290839,0.0002481681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455374,"about_ca_system_score_gemma":0.00000127514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002296576,"about_ca_topic_score_gemma":0.0000862948,"domain_scores_codex":[0.9993261,0.00001604428,0.0001213059,0.0002953252,0.00007956919,0.000161656],"domain_scores_gemma":[0.9997464,0.00002452438,0.00004784191,0.0001210863,7.738902e-7,0.00005939466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008096251,0.00004803382,0.9697568,0.000002191331,0.00001876665,0.000002587165,0.002497165,0.00006163695,0.000006054372,0.0002914279,0.000448201,0.026859],"study_design_scores_gemma":[0.0002337034,0.00001820746,0.8097183,0.00000114806,0.000007152047,0.000004696295,0.0008133677,0.0002834625,0.00002428706,0.0001311806,0.1886445,0.0001200904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937884,0.0002223844,0.0001676656,0.003715828,0.00002043446,0.0002550634,0.000005832167,0.0000214938,0.00180291],"genre_scores_gemma":[0.9925539,0.001835427,0.001548113,0.0008127944,0.00002169123,0.0000439001,0.000005342,0.000007287664,0.003171567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1881963,"threshold_uncertainty_score":0.9996862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137878248","doi":"10.1017/s1355770x13000296","title":"Sustainability or the measurement of wealth?","year":2013,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":13,"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":"Sustainability; Minimax; Economics; Sustainable development; Sustainability organizations; Natural resource economics; Environmental economics; Microeconomics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.014194620765659,"gpt":0.1915630132776655,"spread":0.1773683925120065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005948274,0.000250653,0.0002274165,0.00003677661,0.0002811613,0.00003978462,0.0002762474,0.00007026056,0.006365214],"category_scores_gemma":[0.00002748741,0.0001503914,0.00003719504,0.00006308111,0.000454187,0.0002998036,0.0005689985,0.0001045989,0.0006469952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156708,"about_ca_system_score_gemma":0.0000792361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002359927,"about_ca_topic_score_gemma":0.0000446775,"domain_scores_codex":[0.9983253,0.0000378471,0.0005240795,0.0003963431,0.0002641221,0.0004523049],"domain_scores_gemma":[0.9992771,0.0000517781,0.000173642,0.0003326641,0.000006261486,0.0001586126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002017085,0.0005237163,0.4267086,0.0001427664,0.0001841753,0.000004749152,0.007918377,0.004373499,0.0004522706,0.0006085366,0.0132072,0.5456744],"study_design_scores_gemma":[0.0005626825,0.00006807882,0.6921484,0.000005839499,0.0000113516,0.000004586423,0.003269953,0.0002674705,0.001846767,0.002466017,0.2989585,0.0003903202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915031,0.00005141276,0.0001785642,0.00207713,0.00005834842,0.0009630551,0.000001156328,0.00002037224,0.00514683],"genre_scores_gemma":[0.9935563,0.000383019,0.002829805,0.0004345717,0.00002224987,0.0002259953,0.000005623344,0.0000233209,0.002519096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.545284,"threshold_uncertainty_score":0.9945431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139068826","doi":"10.1017/s1355770x07003701","title":"Sharing the load? Floods, droughts, and managing international rivers","year":2007,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; Okanagan Science Centre","funders":"","keywords":"Stylized fact; Downstream (manufacturing); Upstream (networking); Arid; Scope (computer science); Flooding (psychology); Business; Environmental resource management; Environmental science; Enforcement; Natural resource economics; Environmental planning; Water resource management; Computer science; Economics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.006230594290375169,"gpt":0.1479822766136253,"spread":0.1417516823232502,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001807547,0.00008888289,0.00005347035,0.00004061732,0.00008894739,0.00007305483,0.00008813671,0.00002178395,0.00004231183],"category_scores_gemma":[6.22e-7,0.00007949267,0.000007892074,0.00001058388,0.00002683886,0.0001288867,0.0001287296,0.00004421778,0.00001941088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146337,"about_ca_system_score_gemma":0.000001569801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001608061,"about_ca_topic_score_gemma":0.000007121624,"domain_scores_codex":[0.9995617,0.000001522393,0.0001350555,0.0001298434,0.00004497899,0.0001269565],"domain_scores_gemma":[0.9998709,0.000008726945,0.00002056977,0.00006650553,0.000001098512,0.00003222314],"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":[0.00004967714,0.00003954813,0.1789184,0.00008677028,0.0006132293,0.00001455811,0.01314208,0.3881786,0.00009652296,0.005527337,0.0009047072,0.4124285],"study_design_scores_gemma":[0.0007350284,0.0000079827,0.06663027,0.00001429362,0.00001829782,0.000004162675,0.0006288904,0.1080488,0.0008729734,0.0007284326,0.8219038,0.0004070779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433147,0.0003285722,0.03700436,0.000188759,0.0002594345,0.0001574438,7.367336e-7,0.00006847667,0.01867747],"genre_scores_gemma":[0.9800625,0.003519949,0.0144208,0.0001409613,0.0001085215,0.000007934974,0.00002999691,0.00002753768,0.001681834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8209991,"threshold_uncertainty_score":0.3241617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W609473118","doi":"10.1017/s1355770x16000176","title":"A hurricane wind risk and loss assessment of Caribbean agriculture","year":2016,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre de Santé et de Services Sociaux de la Vieille-Capitale","funders":"","keywords":"Agriculture; Preparedness; Vulnerability (computing); Natural resource economics; Geography; Environmental resource management; Environmental planning; Business; Environmental science; Environmental protection; Economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.008012953795729963,"gpt":0.1833176575660974,"spread":0.1753047037703674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000909939,0.0001039837,0.0001522704,0.00002658972,0.00009497084,0.00001943626,0.00007042946,0.00004998883,0.0007478495],"category_scores_gemma":[0.000004708118,0.00005941424,0.00001707844,0.00001718269,0.0001550229,0.00009095407,0.00003725168,0.00006651369,0.00003429156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001240888,"about_ca_system_score_gemma":0.00002267234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768567,"about_ca_topic_score_gemma":0.0003222688,"domain_scores_codex":[0.9992753,0.00002682701,0.0001963814,0.0002280707,0.00008313685,0.0001902485],"domain_scores_gemma":[0.9996246,0.0000781401,0.00006238277,0.00007677208,0.000003009559,0.0001550906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001001923,0.00001112771,0.8959256,0.000005865572,0.00001758087,0.000001354576,0.00004317618,0.00004204594,0.00003987453,0.0001175846,0.00001966213,0.1037661],"study_design_scores_gemma":[0.0003371855,0.00007208144,0.9653683,0.000005020739,0.000004718161,0.000003269384,0.00003684984,0.00005640474,0.0001206038,0.0002888946,0.0335956,0.000111117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984249,0.0002088846,0.0003665029,0.000278776,0.00002850357,0.00009196425,0.00004468834,0.000005354186,0.0005504095],"genre_scores_gemma":[0.9930347,0.002883233,0.003855295,0.00002334717,0.0000292624,9.366813e-7,0.00001598495,0.000001930792,0.0001552678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.103655,"threshold_uncertainty_score":0.8188428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117520457","doi":"10.1017/s1355770x14000394","title":"Free trade and the greening of domestic industry","year":2014,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Tariff; Consumption (sociology); Competition (biology); Economics; Business; Greening; Domestic market; Pollution; Small open economy; International economics; International trade; Natural resource economics; Monetary economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04188796397516686,"gpt":0.1902536949649591,"spread":0.1483657309897922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007030956,0.0001550006,0.0003874574,0.00008318247,0.0001311873,0.00004104258,0.0001666636,0.0001347268,0.0001429175],"category_scores_gemma":[0.00003934114,0.0001495005,0.00003609873,0.00001917735,0.000265111,0.0001175052,0.0002060739,0.0001531178,0.00003551602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005186497,"about_ca_system_score_gemma":0.000007116143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003232038,"about_ca_topic_score_gemma":0.00001271783,"domain_scores_codex":[0.9988935,0.00001196822,0.0005839682,0.0002857509,0.00001249539,0.0002123295],"domain_scores_gemma":[0.9992023,0.0001455333,0.0003086239,0.0002620046,8.578508e-7,0.00008065651],"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":[0.0001122296,0.00007252974,0.2936272,0.00009785593,0.0001981356,6.08202e-7,0.006321041,0.0004707709,0.000005419944,0.6816558,0.0003053182,0.01713313],"study_design_scores_gemma":[0.009758729,0.000102151,0.4604698,0.00003800744,0.00003212458,0.00003388544,0.0008030197,0.01123239,0.0002759111,0.1899851,0.3261781,0.001090779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904769,0.0008899744,0.0007284656,0.00190656,0.0001118464,0.0001588688,0.0000463126,0.000009947819,0.005671119],"genre_scores_gemma":[0.9946191,0.002161945,0.002347758,0.0005387914,0.00007705819,0.00002423498,0.00001146397,0.00002023096,0.0001994452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4916707,"threshold_uncertainty_score":0.6096454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125224897","doi":"10.1017/s1355770x08004415","title":"A spatiotemporal model of shifting cultivation and forest cover dynamics","year":2008,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"World Wildlife Fund Canada","funders":"","keywords":"Resource (disambiguation); Shifting cultivation; Dependency (UML); Stock (firearms); Agroforestry; Environmental resource management; Forest cover; Agriculture; Environmental science; Geography; Ecology; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01932246365792807,"gpt":0.15322903240035,"spread":0.133906568742422,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063685,0.0001008849,0.0001032581,0.00003001898,0.0002041257,0.000009905852,0.0000569959,0.00003950454,0.0000988916],"category_scores_gemma":[0.000002962631,0.0001040905,0.00001379821,0.0000183396,0.0001677787,0.0001345654,0.0002624796,0.00003405023,0.00002954117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618461,"about_ca_system_score_gemma":0.000008972922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005153164,"about_ca_topic_score_gemma":0.00005657569,"domain_scores_codex":[0.9994018,0.000007276074,0.0001989114,0.0002060737,0.00007512239,0.0001108352],"domain_scores_gemma":[0.9997482,0.00001283123,0.0001065861,0.00008116674,0.000001265525,0.00004992075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009195799,0.00002703056,0.9744111,0.000006745385,0.00001094338,3.668029e-7,0.0013533,0.02052306,0.00002140563,0.00004232358,0.00003901929,0.003555528],"study_design_scores_gemma":[0.0003164787,0.0000130674,0.8737487,0.000002944139,0.000005457407,0.000001053122,0.0001562748,0.1212944,0.00009177803,0.000106403,0.004128836,0.0001346576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993457,0.00001388748,0.004775567,0.0001314609,0.00001389952,0.000138915,0.000004611116,0.000007798564,0.00145682],"genre_scores_gemma":[0.987376,0.0003748737,0.01116483,0.00009479163,0.000005343072,0.000004061361,0.00003397431,0.000005756159,0.0009403377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007713,"threshold_uncertainty_score":0.4244686,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125206264","doi":"10.1017/s1355770x06003214","title":"On the redistributive impact of privatizing a resource under imperfect enforcement","year":2006,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Imperfect; Enforcement; Economics; Resource (disambiguation); Order (exchange); Common-pool resource; Politics; Microeconomics; Public economics; Law; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.01878700596159979,"gpt":0.1842417638698308,"spread":0.165454757908231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006792204,0.0002114993,0.0004444227,0.0001001413,0.0002117712,0.00006347512,0.00018285,0.00009544363,0.0005152444],"category_scores_gemma":[0.00001307127,0.0002146563,0.0001265045,0.00003726927,0.0001701304,0.0001096199,0.000116604,0.0001039744,0.0002061588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000687505,"about_ca_system_score_gemma":0.00003652307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003291489,"about_ca_topic_score_gemma":0.00001496669,"domain_scores_codex":[0.9982731,0.00001763659,0.0009359736,0.0004145193,0.00002973021,0.0003290396],"domain_scores_gemma":[0.9989021,0.0001359294,0.0005855492,0.0003036344,0.000003915215,0.0000689082],"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":[0.00005517344,0.0001087374,0.08485698,0.00001205226,0.0002240567,6.039771e-7,0.0005551976,0.006711816,0.0000199364,0.9053467,0.001605342,0.0005033997],"study_design_scores_gemma":[0.003107573,0.0006092167,0.4807391,0.00007186814,0.00002428437,0.000009246152,0.0007689652,0.002799123,0.002363215,0.3713517,0.1365186,0.001637137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534672,0.0003153764,0.001097402,0.0001717354,0.00009937874,0.0003756223,0.00009273536,0.00001378634,0.04436672],"genre_scores_gemma":[0.9989097,0.0001872662,0.0001906483,0.0001337242,0.0001001893,0.00003705837,0.00006812451,0.00002563788,0.0003477069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.533995,"threshold_uncertainty_score":0.875343,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4233690474","doi":"10.1017/s1355770x02000049","title":"Issues in production, recycling and international trade: analysing the Chinese plastic sector using an optimal life cycle (OLC) model","year":2002,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"International Institute for Sustainable Development","funders":"","keywords":"Dumping; Plastic waste; China; International trade; Economics; Production (economics); Cleaner production; Trade barrier; Natural resource economics; Waste management; Business; Municipal solid waste; Engineering; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.02324022990532659,"gpt":0.2087053676618506,"spread":0.185465137756524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001943834,0.0001400184,0.0001170956,0.0000464818,0.0001920445,0.00006279801,0.00008416276,0.00004252758,0.0004296098],"category_scores_gemma":[0.00002621331,0.0001168491,0.00001190842,0.0000374982,0.00009987517,0.0002709242,0.0001049463,0.00008913282,0.00001554879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681729,"about_ca_system_score_gemma":0.000006608459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001553505,"about_ca_topic_score_gemma":0.00004190554,"domain_scores_codex":[0.9991609,0.00001951221,0.0002599962,0.0003204857,0.00007025863,0.000168796],"domain_scores_gemma":[0.9997082,0.00003638065,0.00007880251,0.00009202099,4.577722e-7,0.00008409629],"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":[0.00001417624,0.00006350552,0.05038806,0.000002283523,0.0000164476,5.841214e-7,0.00175459,0.9433376,0.0007732413,0.000008398723,0.00003290673,0.003608173],"study_design_scores_gemma":[0.0001961137,0.000009206396,0.1128304,0.000005474983,0.000007470964,0.000007240235,0.0001010803,0.8856533,0.00008731939,0.00007266435,0.0008742808,0.0001554183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957657,0.0001203973,0.003488221,0.0002996577,0.000133032,0.00009117917,0.000004295144,0.000007367029,0.00009008445],"genre_scores_gemma":[0.988457,0.0006172734,0.01070374,0.00005745178,0.00006411537,0.00000441545,0.000008202455,0.00001072873,0.00007703318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06244234,"threshold_uncertainty_score":0.476497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161690754","doi":"10.1017/s1355770x0300226","title":"Bioprospecting and biodiversity contracts","year":2003,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Bioprospecting; Biodiversity; Property rights; Business; Natural resource economics; Host (biology); Observability; Production (economics); Economics; Industrial organization; Environmental resource management; Microeconomics; Ecology; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.06159491350135774,"gpt":0.1586578721084239,"spread":0.09706295860706615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003920011,0.0001539241,0.0002280804,0.00007056001,0.0002195021,0.00005689606,0.000049036,0.00007355162,0.0005531274],"category_scores_gemma":[0.000009837328,0.0001978431,0.00002211979,0.00001315093,0.00008885783,0.0002404992,0.00006426192,0.0000678815,0.0008445928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754593,"about_ca_system_score_gemma":0.000006876862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001371565,"about_ca_topic_score_gemma":0.000004010996,"domain_scores_codex":[0.9989816,0.000005491175,0.0003722212,0.0004170547,0.00001225418,0.0002114043],"domain_scores_gemma":[0.9995686,0.00002157388,0.0001824257,0.0001183609,8.871658e-7,0.0001081791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003358562,0.00003273796,0.9500701,0.000005144148,0.00003605891,5.936899e-7,0.0004367951,0.00004490704,0.00001185024,0.04793013,0.00003510254,0.001393259],"study_design_scores_gemma":[0.001028566,0.00002989839,0.8413917,0.000003046035,0.000005405931,0.000009856384,0.0003159695,0.000124268,0.0005953439,0.01179928,0.1442596,0.0004370374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902083,0.001075232,0.0006298951,0.0001218769,0.0001116405,0.0001519033,0.00001384691,0.00001506311,0.007672288],"genre_scores_gemma":[0.9906763,0.001962564,0.006442612,0.0002338075,0.00001394018,0.00001073345,0.00001725046,0.00001070322,0.0006320571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1442245,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387264610","doi":"10.1017/s1355770x23000074","title":"Adaptive capacity and subsequent droughts: evidence from Ethiopia","year":2023,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Université de Genève; International Development Research Centre; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Revenue; Factoring; Adaptive capacity; Natural resource economics; Economics; Agricultural economics; Business; Climate change; Finance; Biology; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.04618413292975685,"gpt":0.1901897157909022,"spread":0.1440055828611454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001386698,0.0001399938,0.0001342751,0.000007176999,0.0002560263,0.00004910643,0.00009956268,0.00007676997,0.0001048726],"category_scores_gemma":[0.000008011663,0.0000553887,0.00001908968,0.00004408281,0.0001020612,0.0001845286,0.0001673506,0.0000806497,0.0001734321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005396306,"about_ca_system_score_gemma":0.000005351049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001402586,"about_ca_topic_score_gemma":0.0002099766,"domain_scores_codex":[0.9991635,0.00002435978,0.0001754349,0.0003580608,0.0000718455,0.0002068136],"domain_scores_gemma":[0.9996162,0.0001701123,0.00006140909,0.00003439701,0.000003446547,0.000114447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008408509,0.00007062909,0.6118935,0.00001237076,0.00009001901,0.00001345611,0.005185287,0.0002982162,0.03905312,0.0006224425,0.0007936877,0.3418832],"study_design_scores_gemma":[0.00007056969,0.00004306987,0.9767162,0.00002007899,0.000004399657,0.000001662823,0.0006472807,0.0001664919,0.002733886,0.0004868528,0.01890144,0.0002080841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986947,0.0003968753,0.000008035634,0.0005903103,0.00005806848,0.0001323926,0.00001384989,0.00003921561,0.00006653852],"genre_scores_gemma":[0.9897627,0.008651341,0.0009632052,0.00009188983,0.00007305973,0.00001807994,0.00003909206,8.035009e-7,0.0003998019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3648227,"threshold_uncertainty_score":0.2258686,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123127274","doi":"10.1017/s1355770x08005147","title":"Uncertainty and the double dividend hypothesis","year":2009,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Economics; Dividend; Tax basis; Welfare; Consumption (sociology); Tax reform; Dividend tax; Capital (architecture); Income tax; Monetary economics; Labour economics; State income tax; Microeconomics; Gross income; Public economics; Market economy; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.03222770495637527,"gpt":0.1733871540530992,"spread":0.141159449096724,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005577425,0.0001904305,0.0003710329,0.00007400946,0.0002526647,0.0001157397,0.0001468695,0.00007647965,0.0001228085],"category_scores_gemma":[0.000011163,0.0001702611,0.00004779381,0.00001972155,0.0001956893,0.000199546,0.00009208688,0.00009700743,0.0003336818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009949561,"about_ca_system_score_gemma":0.000009558179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001868495,"about_ca_topic_score_gemma":0.000005317701,"domain_scores_codex":[0.998782,0.000009039666,0.0005170417,0.0003975389,0.00001370838,0.0002806731],"domain_scores_gemma":[0.9994103,0.00008590025,0.0001891495,0.0002098319,0.000001149559,0.0001036873],"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":[0.0002857526,0.0000821154,0.0338787,0.00001609048,0.000155647,0.000001222898,0.002775754,0.000217292,0.000002681987,0.923274,0.001101398,0.03820929],"study_design_scores_gemma":[0.00375908,0.00004482831,0.2225499,0.000006123262,0.00001003025,0.000009089343,0.0001378638,0.001251384,0.00008774707,0.5244994,0.2470909,0.0005537248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197652,0.001992485,0.0002346643,0.00628689,0.0001274141,0.0003559759,0.00002258429,0.00002758367,0.07118719],"genre_scores_gemma":[0.9949134,0.001173173,0.001247092,0.001770624,0.00009054281,0.00002486943,0.000008073411,0.00001349582,0.0007587117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3987747,"threshold_uncertainty_score":0.6943046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782959122","doi":"10.1017/s1355770x19000172","title":"Output and pollution abatement in a U.S. state emission function","year":2019,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Kuznets curve; Economics; Econometrics; Residual; Nonparametric statistics; Function (biology); Environmental degradation; Pollution; Econometric model; Panel data; Natural resource economics; Mathematics; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01556158552632164,"gpt":0.1627047467579757,"spread":0.1471431612316541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005071033,0.0002464211,0.0003713556,0.0002389909,0.00007802565,0.00005965556,0.00008901537,0.0001041245,0.0004239133],"category_scores_gemma":[0.000004140909,0.0003097966,0.00003027825,0.00002947734,0.00005163564,0.0003599438,0.0001776424,0.0001182535,0.0008626136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101578,"about_ca_system_score_gemma":0.00001656443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000402607,"about_ca_topic_score_gemma":0.00001687489,"domain_scores_codex":[0.9981464,0.00001227446,0.0007699407,0.0007094207,0.00002497532,0.0003369817],"domain_scores_gemma":[0.9993085,0.00001400684,0.0003111264,0.0002382628,0.000001039692,0.0001270684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006341052,0.0001145548,0.966993,0.0000379152,0.0000696796,0.000001238745,0.0008684012,0.003087505,0.0001219743,0.01117775,0.00009689644,0.01736768],"study_design_scores_gemma":[0.00179668,0.00008346827,0.7970323,0.000016645,0.000003428011,0.000002656735,0.0001602022,0.00299608,0.0002793859,0.008058233,0.1890262,0.0005447093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932672,0.0009425443,0.0008425672,0.0002646005,0.0002242295,0.0003360072,0.00001600972,0.00001793166,0.004088927],"genre_scores_gemma":[0.9908891,0.003320728,0.001510234,0.0002964808,0.00002334104,0.00004195413,0.00004060522,0.00003339987,0.003844196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1889293,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2154361378","doi":"10.1017/s1355770x14000503","title":"Does payment type affect willingness-to-pay? Valuing new seed varieties in India","year":2014,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Economic and Environmental Valuation","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 Alberta; First Nations Health and Social Secretariat of Manitoba; Assembly of First Nations; Health Canada","funders":"","keywords":"Payment; Cash; Valuation (finance); Incentive; Business; Affect (linguistics); Economics; Willingness to pay; Actuarial science; Finance; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.03085716216317141,"gpt":0.1806133804832923,"spread":0.1497562183201209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007755831,0.0002663186,0.0004210577,0.0001692773,0.0001185386,0.00008613431,0.0001584993,0.0001184179,0.000543038],"category_scores_gemma":[0.00002124509,0.0002367336,0.00003927099,0.00004989432,0.00004644413,0.0002562825,0.0001723662,0.0001282791,0.001514907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004675565,"about_ca_system_score_gemma":0.00002634981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005219652,"about_ca_topic_score_gemma":0.00001981958,"domain_scores_codex":[0.9982309,0.00001932788,0.0007252854,0.0006280665,0.00003194516,0.000364455],"domain_scores_gemma":[0.9992789,0.000055245,0.0002256552,0.0002474648,0.000001416878,0.0001913283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001960792,0.0000482801,0.9820958,0.00001271627,0.0000339265,3.831287e-7,0.001422805,0.002659277,0.00001651661,0.008665856,0.00009898601,0.004925782],"study_design_scores_gemma":[0.0007296739,0.00006523538,0.89933,0.00001097274,0.000003747937,6.743535e-7,0.0001079444,0.0009355207,0.0002533754,0.007426234,0.09071217,0.0004244128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903621,0.0001745813,0.005389587,0.0004207992,0.0005680952,0.0003591029,0.000006504217,0.00002316411,0.002696084],"genre_scores_gemma":[0.9874315,0.0008100019,0.008453314,0.0005980591,0.0001264458,0.000037284,0.00004917159,0.00003942204,0.002454845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09061318,"threshold_uncertainty_score":0.9992625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4295128579","doi":"10.1017/s1355770x22000225","title":"COVID-19, climate shocks, and food security linkages: evidence and perceptions from smallholder farming communities in Tanzania","year":2022,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Food security; Tanzania; Agriculture; Pandemic; Economics; Food prices; Coronavirus disease 2019 (COVID-19); Asset (computer security); Panel data; Poverty; Development economics; Business; Natural resource economics; Geography; Economic growth; Socioeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.0680248361842638,"gpt":0.2405299880818206,"spread":0.1725051518975568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009689624,0.0002272877,0.0003853821,0.0002277192,0.0006226075,0.0001132119,0.0001744738,0.00008090594,0.001143326],"category_scores_gemma":[0.00006373835,0.0003103988,0.00002560555,0.00004570522,0.0001471274,0.0003249086,0.0008672758,0.0002869913,0.00002395943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008668855,"about_ca_system_score_gemma":0.00008257753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005809162,"about_ca_topic_score_gemma":0.0005313462,"domain_scores_codex":[0.9984566,0.00005374714,0.0006297327,0.0004765835,0.00003423482,0.0003491286],"domain_scores_gemma":[0.9989018,0.0003683823,0.0002253004,0.0002558864,0.000001642467,0.0002470093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001792026,0.0000603884,0.9709212,0.00004899632,0.00003912361,0.000002275382,0.02488873,0.0007461525,0.000004173495,0.002203107,0.00005285828,0.001015113],"study_design_scores_gemma":[0.001922815,0.0001593156,0.8131771,0.00003534893,0.0000137663,0.00001759391,0.01360244,0.00441768,0.000006950376,0.01597515,0.1497935,0.0008782925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928532,0.0050616,0.0003890687,0.0008390049,0.0000879466,0.0002995896,0.0002904788,0.00002343443,0.0001557397],"genre_scores_gemma":[0.97945,0.01661057,0.001326157,0.002327719,0.00002221171,0.00009594231,0.00008696185,0.0000243177,0.00005608401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1577441,"threshold_uncertainty_score":0.9999348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057348271","doi":"10.1017/s1355770x12000496","title":"Strategic behaviour and environmental commons","year":2013,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Climate Change Policy and Economics","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":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Commons; Business; Content (measure theory); Access to information; Environmental economics; Environmental resource management; Natural resource economics; Economics; Computer science; Information access; Political science; World Wide Web; Mathematics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.06308956048518759,"gpt":0.1833495452178602,"spread":0.1202599847326726,"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":[0.0001730112,0.0002449696,0.0003373408,0.0001140185,0.0002052619,0.0001527288,0.0001132693,0.0001143742,0.002197255],"category_scores_gemma":[0.000001843425,0.0003066502,0.00003494634,0.00001288661,0.0001409783,0.0003301085,0.0002012403,0.0001141773,0.001953038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631132,"about_ca_system_score_gemma":0.000007237115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009281853,"about_ca_topic_score_gemma":0.00002172011,"domain_scores_codex":[0.998563,0.000006092991,0.0005759557,0.0004799495,0.00001380305,0.000361212],"domain_scores_gemma":[0.9993516,0.00002751671,0.0002033578,0.0002105691,7.983979e-7,0.0002061871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008179231,0.0001501585,0.9519773,0.0000224311,0.00008828597,0.000001609895,0.001708209,0.00003817544,0.00002867124,0.04216249,0.0002926572,0.003521892],"study_design_scores_gemma":[0.001819858,0.0001066129,0.8645955,0.00001100468,0.00001387982,0.0000377668,0.002705832,0.002857635,0.0002390489,0.05263977,0.07348949,0.001483533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917645,0.0009998925,0.0000644451,0.0004501223,0.00009906261,0.0002697668,0.0001083789,0.00002207324,0.006221784],"genre_scores_gemma":[0.9929712,0.003577485,0.001967135,0.0003618322,0.00005248461,0.00008872771,0.0001295399,0.00003345556,0.000818072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08738168,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061215019","doi":"10.1017/s1355770x13000582","title":"Production-based versus consumption-based emission targets: implications for developing and developed economies","year":2013,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for International Governance Innovation; Environment and Climate Change Canada","funders":"","keywords":"Economics; Production (economics); Consumption (sociology); Computable general equilibrium; Natural resource economics; Energy consumption; Greenhouse gas; Environmental science; International economics; Environmental economics; Macroeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.02812223615538114,"gpt":0.2389267242166039,"spread":0.2108044880612227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002563185,0.0002788912,0.0002173095,0.00005189795,0.0005323811,0.00008601142,0.0001181086,0.00009855443,0.0006911966],"category_scores_gemma":[0.00004071992,0.000283196,0.0000331206,0.00002757462,0.0003334867,0.0003822804,0.0001470626,0.00007234848,0.0001675961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009164542,"about_ca_system_score_gemma":0.00007641041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000214539,"about_ca_topic_score_gemma":0.00002462965,"domain_scores_codex":[0.9985181,0.00002374165,0.0004156698,0.0006108075,0.00005707394,0.0003746256],"domain_scores_gemma":[0.9992713,0.0001535397,0.0001426663,0.0002351668,0.000004448026,0.0001928185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009272176,0.00009729459,0.957352,0.00005637678,0.00003480684,1.211777e-7,0.0002835501,0.002557221,0.0007890037,0.0001310401,0.0007616439,0.03784415],"study_design_scores_gemma":[0.001339082,0.0000558079,0.9357132,0.000008630074,0.00001431896,0.000001049905,0.0001590756,0.001643328,0.006150416,0.0006727,0.05371768,0.0005247671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897392,0.00008389405,0.006073018,0.002619031,0.000106105,0.001122457,0.000009382247,0.00003808034,0.0002087775],"genre_scores_gemma":[0.8931552,0.0002483115,0.1046273,0.0005155495,0.00002789071,0.0007458052,0.0001267364,0.00003496808,0.0005182789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09855429,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885397664","doi":"10.1017/s1355770x18000347","title":"Vulnerability and policy responses in the face of natural resource discoveries and climate change: introduction","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Natural resource; Vulnerability (computing); Climate change; Context (archaeology); Natural resource economics; Developing country; Resource (disambiguation); Variety (cybernetics); Economics; Resource curse; Natural (archaeology); Exploitation of natural resources; Face (sociological concept); Environmental resource management; Geography; Economic growth; Ecology; Computer science; Sociology; Biology; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.02386979457242588,"gpt":0.21618276604226,"spread":0.1923129714698341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009198188,0.000169361,0.0002954797,0.0001665887,0.0001756746,0.00007225393,0.0001089594,0.00006450671,0.00004160411],"category_scores_gemma":[0.000043958,0.0001517582,0.000018962,0.00004998075,0.0003227012,0.0002560496,0.0002174297,0.0001148207,0.00001701986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199561,"about_ca_system_score_gemma":0.00001277012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005040564,"about_ca_topic_score_gemma":0.0000538759,"domain_scores_codex":[0.9987221,0.00002588929,0.000541253,0.0004318649,0.0000223346,0.0002565017],"domain_scores_gemma":[0.9994668,0.00007182923,0.0002240938,0.0001849481,0.000002618944,0.00004969971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000405899,0.00009236293,0.8461964,0.00009411035,0.00006877741,0.000001063629,0.02802522,0.00001586425,0.00002836668,0.04637563,0.0002018366,0.07849447],"study_design_scores_gemma":[0.0004725705,0.00006053251,0.7721111,0.000008189877,0.00000223088,0.000008488304,0.00133278,0.0002059428,0.0001523989,0.001909863,0.2235077,0.0002281754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936813,0.001929061,0.0000163867,0.003444429,0.00009444279,0.000253681,0.00002532667,0.000005623916,0.0005498126],"genre_scores_gemma":[0.9944612,0.003786392,0.0009281513,0.0003510392,0.0001956706,0.00003037827,0.0000140726,0.0000111548,0.0002219397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2233059,"threshold_uncertainty_score":0.6188521,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884600613","doi":"10.1017/s1355770x18000281","title":"The impact of oil revenues on wellbeing in Chad","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Revenue; Disadvantaged; Redistribution (election); Government revenue; Total revenue; Business; Economics; Government (linguistics); Public economics; Agricultural economics; Economic growth; Finance; Political science; Politics","retraction":null,"screen_n_in":null,"score":{"opus":0.01798094642400185,"gpt":0.1977307311444814,"spread":0.1797497847204796,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005738661,0.0001703265,0.0002947621,0.0001264219,0.0001658224,0.00004513903,0.0001821812,0.00006852646,0.0001668301],"category_scores_gemma":[0.00001770384,0.0001462227,0.0000584334,0.00003744054,0.0001311221,0.00009228292,0.0001130619,0.0000995736,0.0003896484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544073,"about_ca_system_score_gemma":0.00002666365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005757626,"about_ca_topic_score_gemma":0.00002806265,"domain_scores_codex":[0.9986618,0.000007951966,0.00067944,0.0003289739,0.00001849378,0.000303384],"domain_scores_gemma":[0.9993544,0.00006432628,0.0003005132,0.0002096368,0.000002883698,0.00006826613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000239092,0.0001722817,0.7817771,0.00002393957,0.0002615965,0.000002307403,0.004255233,0.0007139686,0.00003259076,0.02926729,0.0009606449,0.1822939],"study_design_scores_gemma":[0.0008094783,0.0001461613,0.6789712,0.00002984062,0.000001271123,0.000001907428,0.0001256971,0.000856251,0.0003787065,0.006223849,0.3120807,0.0003748433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986935,0.0009206524,0.00001531565,0.0001835632,0.0001571058,0.00007681511,0.00001053232,0.0000055013,0.01169558],"genre_scores_gemma":[0.9928325,0.003961158,0.0008385742,0.00007005245,0.00007125197,0.00001797718,0.000007218885,0.00001813823,0.002183095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3111201,"threshold_uncertainty_score":0.5962788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391575139","doi":"10.1017/s1355770x23000189","title":"Agricultural subsidies: cutting into forest conservation?","year":2024,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"HEC Montréal; Social Sciences and Humanities Research Council of Canada; Universidad del Rosario; Université de Montréal; Université de Sherbrooke; Université du Québec à Montréal; McGill University; Oregon State University; University of Wisconsin-Madison; University of Miami","keywords":"Subsidy; Conservation agriculture; Agriculture; Natural resource economics; Agroforestry; Agricultural economics; Business; Economics; Geography; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.008921952925195417,"gpt":0.1622140261721132,"spread":0.1532920732469178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001785198,0.000155927,0.0001034716,0.00003852579,0.0003362098,0.0001279368,0.0001114048,0.00004645839,0.0008516537],"category_scores_gemma":[0.000003504639,0.0001364691,0.00002931968,0.00004692682,0.0001279703,0.0002258025,0.0003671185,0.00006429695,0.00107315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098047,"about_ca_system_score_gemma":0.00001067349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008573783,"about_ca_topic_score_gemma":0.0001550836,"domain_scores_codex":[0.9991261,0.00001242616,0.0002234649,0.0003573071,0.0000913566,0.0001893538],"domain_scores_gemma":[0.9997374,0.00003710602,0.00004319896,0.0001016582,0.000001214392,0.00007938089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004371317,0.00002253524,0.9777828,0.00002685491,0.0000473753,0.000003779416,0.003462599,0.0007684191,0.00006215979,0.0001874664,0.001917913,0.01571375],"study_design_scores_gemma":[0.00009570931,0.000008419014,0.56039,0.00000741264,0.0000085945,0.000001774059,0.0007121532,0.0007375443,0.00006266432,0.0001541043,0.4376677,0.0001539123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919333,0.000204248,0.0003920846,0.001522978,0.0001352245,0.0001831148,0.000001778307,0.00005731201,0.005569977],"genre_scores_gemma":[0.9854201,0.0007437257,0.007253453,0.0006341377,0.00006153298,0.00002755828,0.00007411876,0.00001425467,0.005771085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4357498,"threshold_uncertainty_score":0.9997047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792369621","doi":"10.1017/s1355770x18000037","title":"Gold price volatility, tax revenue, and employment: can Burkina Faso's adaptation strategy avoid the natural resource curse?","year":2018,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Economics; Volatility (finance); Natural resource; Revenue; Resource curse; Curse; Computable general equilibrium; Dutch disease; Gold mining; Natural resource economics; Tax revenue; Government revenue; Monetary economics; International economics; Macroeconomics; Financial economics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.02217715446235027,"gpt":0.1882639056983126,"spread":0.1660867512359623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000707736,0.0003315507,0.0003881197,0.0001247538,0.000440166,0.0002160154,0.0002692262,0.0001259372,0.0002454113],"category_scores_gemma":[0.00002268772,0.0003177969,0.0000499087,0.00006071837,0.0002799955,0.0002450116,0.0003041772,0.0002427035,0.0002209814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549155,"about_ca_system_score_gemma":0.00004497961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001795073,"about_ca_topic_score_gemma":0.0004093393,"domain_scores_codex":[0.9979089,0.00002365257,0.0008079468,0.0007300072,0.00004831259,0.0004811012],"domain_scores_gemma":[0.9989812,0.00007191419,0.0004446008,0.0003271575,0.000008308206,0.0001667968],"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":[0.0005005684,0.0004052898,0.4154058,0.0002141496,0.001261553,0.00001459416,0.04254213,0.0009064074,0.00008350182,0.06902878,0.02651469,0.4431225],"study_design_scores_gemma":[0.0006703226,0.00007259721,0.1483143,0.00001676405,0.000007777116,0.00001035775,0.000641997,0.004132683,0.0000912479,0.003663452,0.8418623,0.0005162269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896083,0.002792189,0.0002418293,0.001456055,0.0003136602,0.0004587574,0.0001100916,0.00002305915,0.004996002],"genre_scores_gemma":[0.9819511,0.001478003,0.002002772,0.0007072982,0.0001976667,0.00004817644,0.00006522395,0.00003883733,0.01351094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8153476,"threshold_uncertainty_score":0.9999274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163816029","doi":"10.1017/s1355770x05002743","title":"Spatially correlated rainfall in a protective irrigation system","year":2006,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Stylized fact; Irrigation; Volatility (finance); Economics; Deficit irrigation; Environmental science; Water supply; Agricultural economics; Econometrics; Irrigation management; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.003462962920590533,"gpt":0.1199926153055303,"spread":0.1165296523849397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008167452,0.0001053586,0.00009345859,0.00008594478,0.00003621985,0.00003280566,0.00003598786,0.00004661762,0.00001406537],"category_scores_gemma":[4.040097e-7,0.0001165913,0.000008384667,0.00002320779,0.00001147174,0.0001025122,0.00002527969,0.00004628427,0.00004739759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257971,"about_ca_system_score_gemma":0.000003858156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000017622,"about_ca_topic_score_gemma":0.00004145429,"domain_scores_codex":[0.9994888,0.000007249942,0.0002201809,0.000129944,0.00003153937,0.0001222955],"domain_scores_gemma":[0.9998876,0.000004981049,0.00003286584,0.0000539258,0.000001227372,0.00001935035],"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":[0.000008877118,0.00001316521,0.01590192,0.00004044279,0.00001748308,0.000002009561,0.0005600893,0.9793184,0.00003013116,0.000552407,0.00002772145,0.003527353],"study_design_scores_gemma":[0.001608263,0.00002309013,0.2020859,0.00005279331,0.00001082216,0.000002224668,0.0001909568,0.767495,0.001618487,0.0003633832,0.02599287,0.0005562782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681064,0.00005253543,0.02342114,0.00001346687,0.00007058094,0.0004107479,9.330192e-7,0.00009957286,0.007824617],"genre_scores_gemma":[0.99593,0.00002683293,0.003665026,0.000006128284,0.00002149907,0.00005437482,0.000065523,0.00001697157,0.0002136117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2118234,"threshold_uncertainty_score":0.4754455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}