{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":726,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":726,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5fce98ba5c6c","filters":{"venue":"AgEcon Search (University of Minnesota, USA)"}},"results":[{"id":"W1481945423","doi":"10.22004/ag.econ.273723","title":"Critical Values for Cointegration Tests","year":2010,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2613,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; University of California, San Diego","keywords":"Cointegration; Calculator; Sample (material); Cover (algebra); Sample size determination; Econometrics; Computer science; Statistics; Mathematics; Engineering; Mechanical engineering","authors":[{"name":"James G. MacKinnon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1260733864546535,"gpt":0.2822758598520375,"spread":0.156202473397384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001068339,0.0002735717,0.0007986712,0.0004970948,0.0002528251,0.00008098254,0.000688763,0.0005813377,0.002836227],"category_scores_gemma":[0.0003979006,0.0003982857,0.0004323623,0.00008516463,0.0004014056,0.0004766595,0.0003640119,0.0007610205,0.0007625585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315441,"about_ca_system_score_gemma":0.00008922981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005546775,"about_ca_topic_score_gemma":0.001305404,"domain_scores_codex":[0.9982067,0.00003877932,0.0004562133,0.0007281648,0.00005780938,0.0005122774],"domain_scores_gemma":[0.9982027,0.0004400182,0.0003505615,0.0006779481,0.0001000925,0.0002286771],"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":[0.001279607,0.001885388,0.08373924,0.005397689,0.002019824,0.0001372796,0.0261722,0.005714672,0.001475938,0.6826506,0.1600585,0.02946909],"study_design_scores_gemma":[0.004787897,0.001271048,0.2049265,0.0003939189,0.000239754,0.00004074291,0.00319018,0.3032787,0.0009679513,0.3347512,0.1430557,0.003096278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672323,0.0003554918,0.01284933,0.004040285,0.0008511774,0.0006438163,0.003073555,0.0000370065,0.01091697],"genre_scores_gemma":[0.9838374,0.0003518789,0.01050064,0.0001190598,0.0002528383,0.000003031862,0.0002738778,0.00003221917,0.004629025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3478993,"threshold_uncertainty_score":0.9998469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1507309526","doi":"10.22004/ag.econ.16538","title":"URBAN LIVELIHOODS AND FOOD AND NUTRITION SECURITY IN GREATER ACCRA, GHANA","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":247,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Ghana; World Health Organization; International Fine Particle Research Institute; UNICEF; International Development Research Centre; Rockefeller Foundation","keywords":"Food security; Livelihood; Business; Geography; Socioeconomics; Agricultural economics; Economics; Agriculture","authors":[{"name":"Daniel Maxwell","is_ca":false},{"name":"Carol Levin","is_ca":false},{"name":"Margaret Armar‐Klemesu","is_ca":false},{"name":"Marie T. Ruel","is_ca":false},{"name":"Saul S. Morris","is_ca":false},{"name":"Clement Ahiadeke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01706021521780488,"gpt":0.2299358007921751,"spread":0.2128755855743702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001778153,0.0001278885,0.0002321968,0.0002860512,0.0001659201,0.00004048901,0.0001524293,0.0001149248,0.0008006931],"category_scores_gemma":[0.000005856813,0.0001604793,0.00004858027,0.0002301591,0.0002144105,0.0005571282,0.00007609294,0.0002007042,0.00002760562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004195493,"about_ca_system_score_gemma":0.000007894461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008928378,"about_ca_topic_score_gemma":0.001503919,"domain_scores_codex":[0.9989745,0.0001339608,0.0001206552,0.0003340526,0.0001674791,0.0002693316],"domain_scores_gemma":[0.9995616,0.00005831138,0.00003313362,0.0001558698,0.00005104548,0.0001400084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004641746,0.002667801,0.7758281,0.00215647,0.0001900804,0.0003505356,0.08151783,0.000002401391,0.001817403,0.0005424006,0.03059712,0.09968817],"study_design_scores_gemma":[0.01015257,0.001518707,0.9605638,0.0003944945,0.00006340571,0.00006597818,0.005754439,0.0007227964,0.004095592,0.001015144,0.01511381,0.0005392128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947705,0.0002659434,0.000005151455,0.00309178,0.00003519183,0.000312859,0.00006335852,0.00002324409,0.001431975],"genre_scores_gemma":[0.9990023,0.0003669843,0.000161036,0.0001076839,0.00004464723,5.553423e-7,0.00002376659,0.000009694815,0.0002832943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1847358,"threshold_uncertainty_score":0.8767028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1489903261","doi":"10.22004/ag.econ.52600","title":"Expanding Microenterprise Credit Access: Using Randomized Supply Decisions to Estimate the Impacts in Manila","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":181,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Investment (military); Informal sector; Survey data collection; Labour economics; Substitution effect; Access to finance; Demographic economics; Economics; Economic growth; Finance; Microeconomics","authors":[{"name":"Dean Karlan","is_ca":true},{"name":"Jonathan Zinman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05292957182342162,"gpt":0.3133634221016879,"spread":0.2604338502782663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001517136,0.0001798791,0.0007276341,0.000676741,0.0003747178,0.00008269631,0.0008410118,0.0001141703,0.0004123596],"category_scores_gemma":[0.0002670891,0.000192251,0.0002312636,0.0006988571,0.0001490087,0.0007343459,0.0004228713,0.0002351282,0.0001737524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041113,"about_ca_system_score_gemma":0.00005685783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453542,"about_ca_topic_score_gemma":0.001104004,"domain_scores_codex":[0.9984445,0.00006990319,0.0004648227,0.000427786,0.00009190373,0.0005010723],"domain_scores_gemma":[0.9988598,0.0002535442,0.0002722586,0.0004091403,0.00006784371,0.0001373924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07383251,0.003202894,0.4328933,0.0003662125,0.0005777098,0.002191284,0.1051008,0.007575881,0.0905435,0.1313052,0.04784658,0.1045641],"study_design_scores_gemma":[0.09988857,0.0007343031,0.8091817,0.001379082,0.0001010386,0.00007158521,0.004083833,0.02843365,0.005246561,0.02819556,0.02082732,0.001856737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842726,0.0005552992,0.01032186,0.002188213,0.0001449139,0.0006019194,0.00008237502,0.0000123021,0.00182053],"genre_scores_gemma":[0.995021,0.001110215,0.003047599,0.0002584848,0.00004275149,8.315794e-7,0.00001055068,0.00001236918,0.00049624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3762884,"threshold_uncertainty_score":0.7839769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1584199316","doi":"10.22004/ag.econ.34379","title":"RISE, a Tool for Holistic Sustainability Assessment at the Farm Level","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":180,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Sustainability; Environmental economics; Agriculture; Environmental resource management; Business; Cash flow; Scale (ratio); Economics; Ecology; Accounting; Geography","authors":[{"name":"Fritz J. Häni","is_ca":false},{"name":"Francesco S. Braga","is_ca":false},{"name":"Andreas Stämpfli","is_ca":false},{"name":"Thomas Keller","is_ca":false},{"name":"Matthew J. Fischer","is_ca":false},{"name":"Hans Porsche","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03221604698608414,"gpt":0.2649905028318258,"spread":0.2327744558457416,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00136891,0.0001623742,0.0002690611,0.0000527778,0.000755758,0.00003008971,0.0004924085,0.00008285512,0.004059372],"category_scores_gemma":[0.0002161849,0.0001284534,0.0002296482,0.000556439,0.0004618789,0.0002691284,0.0003643337,0.0001385859,0.0001182053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743674,"about_ca_system_score_gemma":0.00008627931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009142661,"about_ca_topic_score_gemma":0.00900916,"domain_scores_codex":[0.9980187,0.0003365872,0.000176881,0.0004514625,0.0005041636,0.0005121889],"domain_scores_gemma":[0.9987236,0.0003739419,0.0001327293,0.0004787754,0.0001633763,0.0001275891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001713729,0.0005619014,0.9105652,0.00040938,0.0003839862,0.0001470151,0.005230659,0.007312498,0.00521189,0.009660515,0.03455447,0.02579109],"study_design_scores_gemma":[0.0009109215,0.0001436882,0.8598179,0.000007303827,0.0001266338,0.00001240614,0.03225327,0.001160306,0.0002279327,0.0005966667,0.1044376,0.0003053483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896259,0.00002794731,0.003878633,0.001280771,0.00003590905,0.0009201556,0.00005062968,0.00001383908,0.004166224],"genre_scores_gemma":[0.9547885,0.00001503883,0.0009149766,0.00002972223,0.00001120318,0.00000607363,0.00001206703,0.00000749971,0.04421492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06988317,"threshold_uncertainty_score":0.9974555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1524241467","doi":"10.22004/ag.econ.137958","title":"Irrigated urban vegetable production in Ghana: characteristics, benefits and risks.","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":167,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Kwame Nkrumah University of Science and Technology; International Development Research Centre","keywords":"Agriculture; Urban agriculture; Food security; Natural resource; Agricultural economics; George (robot); Economic growth; Geography; Political science; Business; Economics; Law; History","authors":[{"name":"Emmanuel Obuobie","is_ca":false},{"name":"Bernard Keraita","is_ca":false},{"name":"George Danso","is_ca":false},{"name":"Philip Amoah","is_ca":false},{"name":"Olufunke Cofie","is_ca":false},{"name":"Liqa Raschid-Sally","is_ca":false},{"name":"Pay Drechsel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0331218969993812,"gpt":0.2090196772452024,"spread":0.1758977802458212,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225646,0.0002420488,0.0004790342,0.0000670185,0.0002347666,0.00004639384,0.00037228,0.0003658407,0.0001944464],"category_scores_gemma":[0.00005478597,0.0001393163,0.0001164389,0.0003704652,0.0002630224,0.0002233137,0.0005435102,0.0005418765,0.00001538163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319048,"about_ca_system_score_gemma":0.00004104572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02567669,"about_ca_topic_score_gemma":0.02477973,"domain_scores_codex":[0.9981706,0.0001972989,0.0002320865,0.0007188289,0.0002792657,0.0004018855],"domain_scores_gemma":[0.9991366,0.00008837054,0.0001902559,0.0001480937,0.0003070441,0.0001296613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001842782,0.0006280366,0.888426,0.0004753656,0.0000974228,0.0001088095,0.002149488,0.00006304411,0.005443285,0.0001980845,0.006223059,0.09600311],"study_design_scores_gemma":[0.0001642103,0.0001069045,0.9950343,0.00009659396,0.00003833489,0.000003139484,0.001444859,0.00008668876,0.0003232958,0.0001141512,0.002309671,0.0002778026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961594,0.0007016226,8.382116e-7,0.001699022,0.0001281265,0.0005587862,0.0002026316,0.00003276259,0.0005168365],"genre_scores_gemma":[0.9967669,0.0002593284,0.00009848403,0.00001391119,0.0001589251,0.000001423537,0.0004547964,0.000001516949,0.002244743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066083,"threshold_uncertainty_score":0.9930155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123960532","doi":"10.22004/ag.econ.16436","title":"LONG-TERM CONSEQUENCES OF EARLY CHILDHOOD MALNUTRITION","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":116,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Overseas Development Institute; Dalhousie University; Nuffield Foundation; International Fine Particle Research Institute; UNICEF; Department for International Development; World Bank Group","keywords":"Malnutrition; Human capital; Term (time); Instrumental variable; Early childhood; Panel data; Demography; Psychology; Geography; Demographic economics; Developmental psychology; Economics; Economic growth; Econometrics; Sociology","authors":[{"name":"Harold Alderman","is_ca":false},{"name":"John Hoddinott","is_ca":false},{"name":"Bill Kinsey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03425905218024955,"gpt":0.2667338734696025,"spread":0.232474821289353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004063563,0.0003237314,0.0007265278,0.0006389996,0.0002162156,0.00006056994,0.0008700441,0.0004544089,0.001074372],"category_scores_gemma":[0.00002963657,0.0004243641,0.000410783,0.0003190455,0.0008695621,0.0004034208,0.0004380819,0.0007500872,0.00007541643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240754,"about_ca_system_score_gemma":0.0001319202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175863,"about_ca_topic_score_gemma":0.0003424818,"domain_scores_codex":[0.9975286,0.0003991699,0.0003779245,0.0006686792,0.0005881278,0.0004375151],"domain_scores_gemma":[0.9981999,0.000141941,0.0004157517,0.0006283163,0.0004112563,0.0002027899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003258698,0.005210337,0.890602,0.009309153,0.001293263,0.0009536478,0.02704974,0.0001007692,0.02181791,0.001162707,0.01703563,0.02220616],"study_design_scores_gemma":[0.003029149,0.0004649315,0.963506,0.00123813,0.0001991639,0.00004494819,0.0007003919,0.00001072646,0.02849227,0.001430732,0.0003389831,0.0005445266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930744,0.0004340585,0.0001631491,0.002638947,0.000517731,0.0007925345,0.0004708791,0.00004949135,0.001858796],"genre_scores_gemma":[0.9974055,0.0005869333,0.0009799792,0.00008133006,0.00008474747,0.000001077356,0.0002635931,0.00002788357,0.0005690125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07290406,"threshold_uncertainty_score":0.9998388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142390486","doi":"10.22004/ag.econ.273604","title":"The Leader as Catalyst: On Leadership and the Mechanics of Institutional Change","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Theory and Institutions","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Dynamism; Followership; Politics; Transformational leadership; Scale (ratio); Public relations; Transactional leadership; Political science; Social psychology; Economic system; Business; Psychology; Economics; Epistemology; Law","authors":[{"name":"Sumon Majumdar","is_ca":true},{"name":"Sharun Mukand","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1139702164877115,"gpt":0.2345892555122215,"spread":0.12061903902451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002165269,0.00009329985,0.0002392266,0.0001717024,0.0005873176,0.00001594311,0.0003747669,0.00008631961,0.0002722923],"category_scores_gemma":[0.00009852227,0.00008505063,0.0001120612,0.0001752834,0.001134411,0.000314217,0.00009867772,0.0002011556,0.0002498466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005842658,"about_ca_system_score_gemma":0.00003763018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112472,"about_ca_topic_score_gemma":0.001218537,"domain_scores_codex":[0.99921,0.00003845983,0.000233463,0.0002174953,0.00005168439,0.0002488709],"domain_scores_gemma":[0.9990011,0.000397438,0.0001929198,0.000296766,0.00004282719,0.00006893991],"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":[0.000195665,0.00003413395,0.0005701707,0.00001978066,0.00005927596,0.000005142895,0.002879242,0.00001938454,0.00001604841,0.9928726,0.0001302304,0.003198359],"study_design_scores_gemma":[0.01866026,0.001403563,0.1297323,0.0003094333,0.0001633176,0.0001535845,0.1176875,0.008551541,0.003309231,0.2417971,0.4765516,0.001680564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454849,0.001521783,0.002378723,0.007457452,0.0002764488,0.0003849851,0.0001383593,0.00001113758,0.04234625],"genre_scores_gemma":[0.9968178,0.0006754164,0.00006200003,0.0002298451,0.0000480782,7.10438e-7,0.00000817469,0.000005058522,0.002152862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7510755,"threshold_uncertainty_score":0.4517232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W229166190","doi":"10.48416/ijsaf.v16i1.280","title":"Consolidation in the North American Organic Food Processing Sector, 1997 to 2007","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Consolidation (business); Business; Horizontal integration; Mainstream; Food processing; Organic farming; Industrial organization; Commerce; Marketing; Geography; Agriculture; Political science; Finance","authors":[{"name":"Philip H. Howard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02895459369003184,"gpt":0.2009486465009963,"spread":0.1719940528109645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001370366,0.0000978587,0.0001620596,0.00001611936,0.0001851703,0.00003150088,0.000458153,0.00003662587,0.0006631674],"category_scores_gemma":[0.00002898054,0.00004328354,0.00004731501,0.001341289,0.0000906347,0.0001741366,0.0001005441,0.0001702609,0.0001110157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002144304,"about_ca_system_score_gemma":0.00001944282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004445996,"about_ca_topic_score_gemma":0.02002963,"domain_scores_codex":[0.9990727,0.0001047354,0.0000912954,0.0002506911,0.0002417525,0.000238856],"domain_scores_gemma":[0.9996021,0.00008494779,0.00006612254,0.00004525462,0.00007229436,0.0001292521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003386853,0.0006097222,0.1713938,0.0001436573,0.00008912074,0.0001502724,0.04196645,0.00003505643,0.4395584,0.0001889812,0.06386441,0.2816614],"study_design_scores_gemma":[0.0002183814,0.001142837,0.931448,0.00001528434,0.00001201375,0.000005027808,0.0264259,0.00005684682,0.001322289,0.000004313507,0.03915783,0.0001912476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744371,0.00002607126,0.000008850614,0.02494341,0.00001388928,0.0002078393,0.00006747501,0.00001977016,0.0002756077],"genre_scores_gemma":[0.9988857,0.00002597311,0.00006719466,0.0007928493,0.0001046715,2.756448e-7,0.00005040399,8.055265e-7,0.00007213823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7600542,"threshold_uncertainty_score":0.9978523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108666651","doi":"10.48416/ijsaf.v19i1.237","title":"Migrant Workers and Changing Work-place Regimes in Contemporary Agricultural Production in Canada","year":2020,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph","funders":"","keywords":"Food systems; Agriculture; Globalization; Immigration; Context (archaeology); Corporate governance; Work (physics); Political science; Food processing; Production (economics); Food security; Economic system; Economics; Economic growth; Political economy; Market economy; Geography","authors":[{"name":"Kerry Preibisch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04330354234291194,"gpt":0.2309552309849044,"spread":0.1876516886419924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005014173,0.00007270092,0.0001720512,0.0001205282,0.00020129,0.00001436349,0.0001564753,0.00004979306,0.0001040976],"category_scores_gemma":[0.00005640698,0.0000852988,0.00002531151,0.000681353,0.0001465369,0.000483531,0.00005146219,0.0001467313,0.000005709022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323208,"about_ca_system_score_gemma":0.0005761977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9137083,"about_ca_topic_score_gemma":0.9912665,"domain_scores_codex":[0.9990511,0.0001641402,0.000107532,0.0002408733,0.0001788044,0.0002575278],"domain_scores_gemma":[0.9996123,0.00007808743,0.00006470933,0.00006474903,0.00004922981,0.000130961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000919064,0.00002137372,0.7052801,0.00004834966,0.00001614393,0.00004690313,0.2755743,0.0001511712,0.00008493372,0.00008189629,0.01607417,0.002528765],"study_design_scores_gemma":[0.0004193088,0.00002235063,0.5144766,0.00006774674,0.000003888527,6.02394e-7,0.4750094,0.0001085066,0.00005571697,0.000007701999,0.009681987,0.0001462584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797909,0.0002418837,0.000004560517,0.01743856,0.00005980178,0.0002517007,0.000003848573,0.000008333362,0.002200424],"genre_scores_gemma":[0.9973571,0.0001458293,0.00005830155,0.00006052642,0.00004859023,4.40813e-7,0.000006524927,0.000002739747,0.002319909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1994351,"threshold_uncertainty_score":0.3478384,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2134005154","doi":"","title":"Measuring Border Crossing Costs and their Impact on Trade Flows: The United States-Mexican Trucking Case","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Tariff; Welfare; Economics; Border crossing; Inefficiency; International trade; International economics; Consumption (sociology); Trade barrier; Order (exchange); Business; Finance; Geography; Microeconomics; Immigration","authors":[{"name":"Alan Fox","is_ca":false},{"name":"Joseph François","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08830441178920943,"gpt":0.2426757613055415,"spread":0.1543713495163321,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008504612,0.0002065819,0.0003832957,0.0003106907,0.0006859623,0.0001441334,0.0002493815,0.00009755904,0.0003759083],"category_scores_gemma":[0.00004550666,0.0001978286,0.0001587986,0.0003615513,0.0002789701,0.0003431056,0.00005832148,0.0002763313,0.00005759425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272125,"about_ca_system_score_gemma":0.00004404884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005751715,"about_ca_topic_score_gemma":0.001153301,"domain_scores_codex":[0.9988081,0.00007667877,0.0002439831,0.0003795906,0.0000432957,0.0004483463],"domain_scores_gemma":[0.9990692,0.0002144694,0.0001725684,0.0003378556,0.00002755845,0.0001783307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001425203,0.001625528,0.4993999,0.0005997077,0.003601113,0.003643205,0.1333751,0.05209998,0.0009270633,0.2089544,0.006467839,0.08788097],"study_design_scores_gemma":[0.01119456,0.001724665,0.4162418,0.0003130973,0.0001121427,0.002102057,0.1188885,0.1656116,0.001451235,0.007935721,0.2714417,0.002982935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932899,0.0003373696,0.0002924891,0.0007674021,0.0000752175,0.00018459,0.0002609845,0.00001623869,0.004775819],"genre_scores_gemma":[0.9990377,0.000411636,0.0001882152,0.000169171,0.00001756353,3.339615e-7,0.0000172168,0.00001778579,0.0001403199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2649738,"threshold_uncertainty_score":0.869491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1606283766","doi":"10.22004/ag.econ.14614","title":"CONSUMER DEMAND FOR TRACEABILITY","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; U.S. Department of Agriculture","keywords":"Traceability; Business; Food safety; Variety (cybernetics); Quality (philosophy); Government (linguistics); Marketing; Food industry; Ex-ante; Common value auction; Consumption (sociology); Private sector; Risk analysis (engineering); Industrial organization; Economics; Engineering; Computer science; Microeconomics","authors":[{"name":"Jill E. Hobbs","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05023741102554113,"gpt":0.2569505332399896,"spread":0.2067131222144485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001528032,0.0003406919,0.0006475098,0.0004600961,0.0003797856,0.0001345557,0.0007044643,0.0003443875,0.002827573],"category_scores_gemma":[0.00013481,0.0004365113,0.0004329012,0.000289344,0.0003383719,0.0006223706,0.0008423432,0.0005391825,0.0001509628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000652936,"about_ca_system_score_gemma":0.0001546636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003776963,"about_ca_topic_score_gemma":0.002208356,"domain_scores_codex":[0.9980067,0.00007523775,0.0002945317,0.0007476156,0.0003680341,0.0005078674],"domain_scores_gemma":[0.9980456,0.00030929,0.0003394163,0.0006959095,0.0005610946,0.00004869545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001364735,0.001200447,0.7122704,0.01210966,0.0009489347,0.0002051256,0.001805385,0.0002094232,0.001392346,0.004722168,0.07790473,0.1858666],"study_design_scores_gemma":[0.004816828,0.00006254587,0.612057,0.0004791049,0.001782396,0.000008081946,0.003905831,0.005924096,0.0001371397,0.00361847,0.3652517,0.001956851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838216,0.0003092803,0.001466791,0.0008183809,0.0005175682,0.001190449,0.0001058283,0.00008834164,0.01168172],"genre_scores_gemma":[0.9946348,0.0001601036,0.001621755,0.0001501179,0.0001508622,0.000004552134,0.0001516649,0.00003977849,0.003086362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873469,"threshold_uncertainty_score":0.9998087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1593945218","doi":"10.22004/ag.econ.55152","title":"Measuring the Impacts of Prime-age Adult Death on Rural Households in Kenya","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"College of Engineering, Michigan State University; Michigan State University; United States Agency for International Development","keywords":"Demography; Kenya; Tanzania; Spouse; Quarter (Canadian coin); Mortality rate; Rural area; Geography; Medicine; Socioeconomics; Economics; Biology","authors":[{"name":"Takashi Yamano","is_ca":false},{"name":"Thomas S. Jayne","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0535339614834505,"gpt":0.2695548414531406,"spread":0.2160208799696901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125072,0.0002108883,0.0004128103,0.0002757079,0.0005551607,0.00004568263,0.001302342,0.0003169564,0.0005577059],"category_scores_gemma":[0.0001495419,0.0002170504,0.0002314214,0.0003644806,0.0005273788,0.0002612474,0.0002876058,0.0006803307,0.00003953451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003833319,"about_ca_system_score_gemma":0.0006527489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09393282,"about_ca_topic_score_gemma":0.07198445,"domain_scores_codex":[0.9974556,0.0005775429,0.0002239323,0.0003599433,0.000875099,0.0005078604],"domain_scores_gemma":[0.9984143,0.0002511624,0.0002738064,0.0005858846,0.0002808865,0.0001939461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000295506,0.0014104,0.41762,0.000687571,0.0003856664,0.0001362893,0.531489,0.0004901619,0.0002943895,0.01381343,0.008687512,0.02469008],"study_design_scores_gemma":[0.0009125044,0.0001189472,0.9190146,0.000647872,0.00005868962,0.000001574071,0.06916162,0.0001046233,0.0003499983,0.0006615356,0.008538548,0.0004294629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660615,0.0003306015,0.00001159012,0.003467143,0.0002385321,0.0004730706,0.00008853248,0.00002547378,0.02930353],"genre_scores_gemma":[0.9923053,0.004143502,0.00009527582,0.00005591139,0.0001168593,6.778574e-7,0.00001976869,0.00001518051,0.003247519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5013946,"threshold_uncertainty_score":0.9449494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2963622760","doi":"10.22004/ag.econ.16229","title":"FISH AS FOOD: PROJECTIONS TO 2020 UNDER DIFFERENT SCENARIOS","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"European Commission; Australian Centre for International Agricultural Research; International Development Research Centre; International Fine Particle Research Institute","keywords":"Fish <Actinopterygii>; Fishery; Geography; Biology","authors":[{"name":"Christopher L. Delgado","is_ca":false},{"name":"Mark W. Rosegrant","is_ca":false},{"name":"Nikolas Wada","is_ca":false},{"name":"Siet Meijer","is_ca":false},{"name":"Mahfuzuddin Ahmed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04292029787298204,"gpt":0.2550847037476208,"spread":0.2121644058746387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009483562,0.0001620142,0.0002493277,0.000325284,0.0004097815,0.00005576347,0.0003892108,0.0001045735,0.004912626],"category_scores_gemma":[0.00002213845,0.000191605,0.0001510024,0.0004795384,0.0001260681,0.0003537436,0.0001801512,0.0002598581,0.0007563495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379695,"about_ca_system_score_gemma":0.00001052196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109843,"about_ca_topic_score_gemma":0.005112242,"domain_scores_codex":[0.9986101,0.0001211412,0.0001384897,0.0003904252,0.0003551641,0.0003847023],"domain_scores_gemma":[0.9991258,0.00009020418,0.00005279529,0.0003224878,0.0001362681,0.0002724247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001502385,0.004169688,0.04628713,0.0006432107,0.0005227335,0.0002494341,0.04361425,0.0003117788,0.008181712,0.0009715457,0.8546205,0.03892561],"study_design_scores_gemma":[0.01196626,0.004986786,0.6355106,0.0005610252,0.000287796,0.0001738103,0.01945492,0.003688293,0.02239017,0.0009614904,0.2981893,0.001829494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580467,0.0000280596,0.0001844356,0.03659765,0.0002535219,0.0005015815,0.00007845107,0.00006933809,0.004240284],"genre_scores_gemma":[0.992386,0.00006260002,0.0002091491,0.0009973659,0.0001006732,0.00000105893,0.00002459175,0.00001776159,0.006200782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5892235,"threshold_uncertainty_score":0.995997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1521545449","doi":"10.22004/ag.econ.18752","title":"JOINT FOREST MANAGEMENT IN INDIA: ASSESSMENT OF PERFORMANCE AND EVALUATION OF IMPACTS","year":2003,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministry of Environment; Ministry of Environment and Forests; International Development Research Centre","keywords":"Joint Forest Management; Forest management; Context (archaeology); Pace; Scope (computer science); Government (linguistics); Certified wood; Geography; Business; Community forestry; State forest; Environmental resource management; State (computer science); Environmental planning; Environmental protection; Forestry; Economics","authors":[{"name":"Appukuttannair Damodaran","is_ca":false},{"name":"Stefanie Engel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04522587652624978,"gpt":0.2615272616197676,"spread":0.2163013850935178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002031304,0.0001661142,0.0003457998,0.0003678343,0.00009782102,0.000009700791,0.0003594915,0.0001291354,0.00101681],"category_scores_gemma":[0.00001106313,0.0001985352,0.00008820656,0.0002962657,0.0004109497,0.0001677525,0.001637353,0.000221226,0.00001080594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008065,"about_ca_system_score_gemma":0.00006725719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233453,"about_ca_topic_score_gemma":0.001304438,"domain_scores_codex":[0.9979155,0.0002336611,0.000260937,0.0003997836,0.0009582638,0.0002318306],"domain_scores_gemma":[0.9990736,0.00003323657,0.0003382131,0.0003925772,0.00007851592,0.00008389794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002720519,0.0002058338,0.9748564,0.0007141501,0.000109541,0.00001152776,0.001951786,0.006842985,0.0001654117,0.00004727681,0.0002090873,0.01485877],"study_design_scores_gemma":[0.001085393,0.0001030324,0.9809478,0.0001505809,0.0001464669,7.253438e-7,0.003194388,0.01372523,0.00005831831,0.00007171069,0.0003616805,0.0001546706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780123,0.00004462435,0.00008859541,0.0001556992,0.00004906681,0.0008715487,0.00002743987,0.000004072579,0.02074661],"genre_scores_gemma":[0.9967027,0.001043181,0.001734192,0.00001302404,0.000003186911,0.000001268208,0.00002969504,0.000005401495,0.000467331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02027927,"threshold_uncertainty_score":0.9998964,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2761702832","doi":"10.22004/ag.econ.292508","title":"Farmers willingness to pay for crop insurance: evidence from Eastern Ghana","year":2016,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"University of Ghana; McGill University","keywords":"Crop insurance; Willingness to pay; Agricultural science; Probit model; Business; Farm income; Agricultural economics; Cropping; Descriptive statistics; Economics; Actuarial science; Agriculture; Geography; Production (economics); Econometrics; Statistics; Mathematics","authors":[{"name":"Emmanuella Ellis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04029148847234976,"gpt":0.2392439754825739,"spread":0.1989524870102241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002158861,0.0001453583,0.0002344599,0.00001877393,0.0003254799,0.00002346244,0.0006773965,0.00009957717,0.0006654895],"category_scores_gemma":[0.00007939271,0.00004868134,0.0001421316,0.0003293427,0.0001698361,0.0004684436,0.0001737986,0.00007758592,0.0002653792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130109,"about_ca_system_score_gemma":0.00001789572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004022382,"about_ca_topic_score_gemma":0.003602483,"domain_scores_codex":[0.9986368,0.0000797321,0.0001307049,0.0004514635,0.0003125286,0.0003888118],"domain_scores_gemma":[0.9987065,0.0006362033,0.0000862161,0.00009546523,0.0002362963,0.0002393594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002603866,0.00006228604,0.2430033,0.00001637861,0.00002573849,0.00001428054,0.0009701439,0.000008918382,0.4124777,0.00002763366,0.00169584,0.3414374],"study_design_scores_gemma":[0.0003272306,0.0004930914,0.9725423,0.000226076,0.000014141,0.000001387953,0.004086461,0.0000385647,0.008058656,0.00004143338,0.01390882,0.000261781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925185,0.00009963701,0.0005050827,0.006092114,0.0001050592,0.0003521511,0.0002252945,0.00002539239,0.0000767812],"genre_scores_gemma":[0.9931737,0.0003820133,0.0004185823,0.00005898239,0.0001137995,0.000001432413,0.00001122711,0.000001024152,0.005839291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7295391,"threshold_uncertainty_score":0.7286644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1496341902","doi":"10.22004/ag.econ.42417","title":"Is HIV/AIDS Undermining Botswana’s ‘Success Story’? Implications for Development Strategy","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Poverty; Economics; Unemployment; Development economics; Computable general equilibrium; Inequality; Quarter (Canadian coin); Pandemic; Economic growth; Microsimulation; Demographic economics; Coronavirus disease 2019 (COVID-19); Macroeconomics; Geography; Business; Medicine","authors":[{"name":"James Thurlow","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1484790044890822,"gpt":0.3153641023396641,"spread":0.1668850978505819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001674713,0.0003646144,0.0008609703,0.001257367,0.0006168897,0.00009308653,0.001114136,0.0005261967,0.001154761],"category_scores_gemma":[0.00007679175,0.0005170582,0.0003913675,0.0003650698,0.0003034182,0.0003389007,0.0006242066,0.0006391049,0.0003772948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552303,"about_ca_system_score_gemma":0.0006754411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004585357,"about_ca_topic_score_gemma":0.0005176588,"domain_scores_codex":[0.9976552,0.00006307178,0.0005698403,0.0008772219,0.0001194294,0.0007153084],"domain_scores_gemma":[0.9976801,0.0003799391,0.0006340773,0.0007591753,0.0002273492,0.0003194147],"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":[0.001437605,0.001807622,0.2588868,0.004842414,0.004672554,0.0001528179,0.07401441,0.001481978,0.0007990836,0.1991847,0.1421264,0.3105936],"study_design_scores_gemma":[0.003827003,0.0007343473,0.4100973,0.0004319893,0.000160736,0.00001914949,0.01557316,0.002392262,0.0008711253,0.01119969,0.5521501,0.002543093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032374,0.001399497,0.07085797,0.003490233,0.0002795204,0.0009657056,0.002575659,0.00006057163,0.01713346],"genre_scores_gemma":[0.9315466,0.0008347186,0.0177935,0.0001241265,0.000112255,0.000007168493,0.0003183961,0.0000610223,0.04920223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4100237,"threshold_uncertainty_score":0.9997583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015004648","doi":"10.22004/ag.econ.273609","title":"The Economic Opportunity Cost of Capital for Canada - An Empirical Update","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Opportunity cost; Net present value; Present value; Investment (military); Economic cost; Estimation; Economic impact analysis; Social discount rate; Value (mathematics); Discounting; Cost of capital; Interest rate; Cost–benefit analysis; Public economics; Macroeconomics; Microeconomics; Finance; Production (economics)","authors":[{"name":"Glenn P. Jenkins","is_ca":false},{"name":"Chun‐Yan Kuo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08019501601175086,"gpt":0.2652244861455878,"spread":0.1850294701338369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002308604,0.000279302,0.0008697099,0.0002818479,0.0003876118,0.00006186646,0.001240042,0.0003471555,0.001034479],"category_scores_gemma":[0.00008176128,0.0003654016,0.0003143028,0.00007562662,0.0004342605,0.000278728,0.0006349716,0.0004926986,0.0000781791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087701,"about_ca_system_score_gemma":0.001886143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4514242,"about_ca_topic_score_gemma":0.7877529,"domain_scores_codex":[0.9979017,0.00005999048,0.0007021655,0.0006629546,0.00007264884,0.0006005485],"domain_scores_gemma":[0.9973162,0.000399177,0.000868673,0.0009041161,0.0001300666,0.0003817382],"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":[0.003923363,0.001291743,0.3687471,0.003017966,0.004098011,0.0002890418,0.01929833,0.01936962,0.00003845469,0.1429433,0.2515757,0.1854073],"study_design_scores_gemma":[0.003709069,0.0005357189,0.09645556,0.0001032369,0.0001480921,0.00001537456,0.01388872,0.08396749,0.0001513526,0.01940291,0.7794073,0.002215234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98044,0.0001787865,0.001134431,0.001399173,0.0008787886,0.0006701797,0.003291427,0.00001363868,0.01199357],"genre_scores_gemma":[0.9945303,0.002160547,0.001100697,0.0001103931,0.0001441479,0.000002623981,0.00042301,0.00004533929,0.001483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5278316,"threshold_uncertainty_score":0.9998798,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2732707090","doi":"10.22004/ag.econ.167903","title":"U.S. and Canadian Consumer Perception of Local and Organic Terminology","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Perception; Terminology; Meaning (existential); Production (economics); Marketing; Organic production; Business; Economics; Psychology; Organic farming; Microeconomics; Geography; Agriculture; Linguistics","authors":[{"name":"Benjamin L. Campbell","is_ca":false},{"name":"Hayk Khachatryan","is_ca":false},{"name":"Bridget K. Behe","is_ca":false},{"name":"Jennifer H. Dennis","is_ca":false},{"name":"Charles R. Hall","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01151706365003601,"gpt":0.1739494155115867,"spread":0.1624323518615507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001210756,0.00006823349,0.0001479937,0.00002631444,0.0001365437,0.000006796259,0.0001170367,0.0001074474,0.001234548],"category_scores_gemma":[0.000009142124,0.0000351389,0.00002441442,0.000131659,0.0003197466,0.0000956344,0.00006684371,0.00008397504,0.00002131447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001466136,"about_ca_system_score_gemma":0.00001412104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04490781,"about_ca_topic_score_gemma":0.2608268,"domain_scores_codex":[0.9994549,0.00006252922,0.00006068068,0.0001724072,0.0000775964,0.0001719058],"domain_scores_gemma":[0.9996491,0.00006918261,0.00003524904,0.00003550485,0.00005729892,0.0001536554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002559118,0.00004308341,0.0392545,0.0000415758,0.00003048252,0.00001287365,0.0011395,2.292835e-7,0.5706468,0.000502442,0.002025621,0.3862773],"study_design_scores_gemma":[0.0002186151,0.0003313374,0.9709273,0.00001336105,0.00001591011,0.00002492925,0.007721659,0.00005077706,0.001137227,0.00003148758,0.01942165,0.0001057719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964131,0.00005259207,0.00000626473,0.002910763,0.00001641737,0.00006318198,0.00003041012,0.000006101745,0.0005011484],"genre_scores_gemma":[0.9993129,0.0002380452,0.000045932,0.00004836883,0.00001746356,4.017084e-8,0.00001567122,4.523803e-7,0.0003211159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9316728,"threshold_uncertainty_score":0.9996784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105786871","doi":"10.22004/ag.econ.9917","title":"Genetically Modified Food and International Trade: The Case of India, Bangladesh, Indonesia and the Philippines","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Productivity; Agriculture; Computable general equilibrium; Agricultural economics; Market access; Food security; Agricultural biotechnology; Business; Developing country; Economics; Crop; International trade; Agricultural science; Geography; Economic growth; Agronomy; Environmental science; Biology","authors":[{"name":"Guillaume Gruère","is_ca":false},{"name":"Antoine Bouët","is_ca":false},{"name":"Simon Mevel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04240527778348368,"gpt":0.2451974369504103,"spread":0.2027921591669266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177736,0.000198568,0.0003530681,0.00007386894,0.0003247106,0.00006772987,0.0009484479,0.000294743,0.0002970699],"category_scores_gemma":[0.00006976981,0.00008683348,0.0001303459,0.0002399927,0.001999927,0.00006319285,0.001667199,0.0006125988,0.000002610936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002255144,"about_ca_system_score_gemma":0.00004629621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635773,"about_ca_topic_score_gemma":0.00275099,"domain_scores_codex":[0.9982021,0.0003559332,0.0002363964,0.0004566113,0.0004250263,0.0003239177],"domain_scores_gemma":[0.9983599,0.0009937418,0.0001474285,0.0001947258,0.0001416776,0.0001625458],"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":[0.001895609,0.0005848698,0.013953,0.0005014869,0.001222757,0.001034365,0.01233885,0.000137818,0.0679936,0.02362064,0.0006486366,0.8760684],"study_design_scores_gemma":[0.002502089,0.000708525,0.9740763,0.00008384518,0.000154411,0.0005358966,0.01156454,0.002831697,0.002454628,0.003745787,0.0008493802,0.0004929567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846438,0.0005676788,0.0000561226,0.01333952,0.00005422017,0.0006034681,0.0002146007,0.000009288715,0.000511331],"genre_scores_gemma":[0.9980639,0.001387603,0.0002483136,0.00005854106,0.00008393274,0.000001431923,0.00003184306,0.000002319639,0.0001220995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9601232,"threshold_uncertainty_score":0.7368816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1506751634","doi":"10.22004/ag.econ.34131","title":"CAN HYSTERESIS AND REAL OPTIONS EXPLAIN THE FARMLAND VALUATION PUZZLE?","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Valuation (finance); Option value; Discounted cash flow; Economics; Land Values; Land price; Cash flow; Value (mathematics); Microeconomics; Financial economics; Valuation of options; Asian option; Intrinsic value (animal ethics); Cash; Land value; Econometrics; Land use; Natural resource economics; Finance; Agricultural economics; Computer science","authors":[{"name":"Calum G. Turvey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09091036279687685,"gpt":0.2303361780780646,"spread":0.1394258152811877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007440445,0.0001931969,0.0004916891,0.0004765622,0.0004224896,0.00008801838,0.0004422606,0.0002157745,0.001297154],"category_scores_gemma":[0.00002418177,0.0002130472,0.0002503341,0.0002295612,0.0003012147,0.0001803204,0.0004982109,0.0003331654,0.0001925967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271563,"about_ca_system_score_gemma":0.00002810226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02262768,"about_ca_topic_score_gemma":0.01355029,"domain_scores_codex":[0.998717,0.00009410163,0.0002968045,0.0005233019,0.0001082289,0.0002605965],"domain_scores_gemma":[0.9988001,0.0001191469,0.0003577133,0.000527644,0.00007797387,0.00011741],"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":[0.0001131454,0.0005746057,0.1565878,0.0007935064,0.002522184,0.0001036391,0.04848536,0.00171088,0.0001390273,0.7637295,0.01619342,0.009046922],"study_design_scores_gemma":[0.003378676,0.0003529802,0.6672541,0.0002247464,0.0006933554,0.00001668931,0.0231868,0.1550638,0.00008548536,0.1197991,0.0279821,0.001962152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819273,0.005367004,0.0001457592,0.00509893,0.0001262528,0.0003634241,0.0007368238,0.00001680744,0.006217708],"genre_scores_gemma":[0.9352852,0.05033088,0.0004060668,0.00003384664,0.00006221544,0.000002420382,0.0001618885,0.00001586907,0.01370159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6439304,"threshold_uncertainty_score":0.9996158,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138858044","doi":"10.22004/ag.econ.274023","title":"From Engineer to Taxi Driver? Occupational Skills and the Economic Outcomes of Immigrants","year":2011,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"","keywords":"Human capital; Immigration; Transferability; Earnings; Empirical research; Demographic economics; Cognitive skill; Test (biology); Labour economics; Economics; Cognition; Psychology; Political science; Economic growth; Accounting","authors":[{"name":"Susumu Imai","is_ca":true},{"name":"Derek Stacey","is_ca":true},{"name":"Casey Warman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0213228802803915,"gpt":0.2688697163935929,"spread":0.2475468361132014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007086527,0.0001424951,0.0004135703,0.0001884415,0.0002416427,0.00002644052,0.0006458433,0.0002018573,0.002069661],"category_scores_gemma":[0.00007729385,0.0001402519,0.0001637262,0.00009480961,0.0006658266,0.0001524982,0.0004205483,0.0002325704,0.00008754079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128999,"about_ca_system_score_gemma":0.0003950014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1172738,"about_ca_topic_score_gemma":0.1512878,"domain_scores_codex":[0.9987462,0.0002525654,0.0001836338,0.0003063308,0.0003107399,0.0002004858],"domain_scores_gemma":[0.9987458,0.0004230037,0.0001948212,0.0003109037,0.0001753222,0.0001501218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004326384,0.000239935,0.1833008,0.0001041276,0.001013889,0.00001715123,0.6953841,0.001913836,0.00008910766,0.09986544,0.00786473,0.009774277],"study_design_scores_gemma":[0.002116468,0.00004482074,0.9410892,0.00008273227,0.0001545794,3.230498e-7,0.04069797,0.002908316,0.00005040788,0.002956248,0.009433352,0.0004655775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941735,0.00003643483,0.0007785126,0.001842536,0.0002185589,0.0004273657,0.0007879376,0.00001300832,0.001722101],"genre_scores_gemma":[0.9924591,0.0005923273,0.002031778,0.00007585846,0.00005519387,9.918485e-7,0.0000659319,0.000007936545,0.004710851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7577884,"threshold_uncertainty_score":0.9988426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1512579370","doi":"10.22004/ag.econ.28034","title":"Factors Associated with Household Internet Use in Canada, 1998-2000","year":2004,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"The Internet; Rurality; Digital divide; Information and Communications Technology; Socioeconomic status; Household income; Business; Population; Rural area; Economic growth; Demographic economics; Geography; Political science; Sociology; Economics; Demography; Computer science","authors":[{"name":"Vik Singh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0646843340302616,"gpt":0.1942614148326028,"spread":0.1295770808023412,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002876655,0.0002737322,0.0004858428,0.00006102434,0.0001108277,0.0000465933,0.000678689,0.0002413648,0.0004152257],"category_scores_gemma":[0.00005131933,0.0001428276,0.0001126283,0.0003805709,0.0001699041,0.00026086,0.0005670206,0.0005810451,0.000004012431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162663,"about_ca_system_score_gemma":0.001221647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9661537,"about_ca_topic_score_gemma":0.9964316,"domain_scores_codex":[0.9981026,0.0001815635,0.0002048528,0.0005342797,0.0004836921,0.0004930362],"domain_scores_gemma":[0.9990844,0.0003116634,0.0001725476,0.0001252735,0.0001260872,0.0001799985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007597119,0.0001251492,0.9943738,0.00005114302,0.00009076758,0.0001922548,0.001372101,0.0003203193,0.0001556522,0.00002045895,0.001120578,0.002101804],"study_design_scores_gemma":[0.0003048276,0.00008888274,0.9936368,0.000146974,0.00001421381,3.737407e-7,0.004275065,0.0000677085,0.00009778812,0.00006316965,0.0009941848,0.0003100282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982955,0.00002326864,0.000001578317,0.0006413481,0.0000656252,0.0003961597,0.0003511564,0.00002413504,0.0002011754],"genre_scores_gemma":[0.9965195,0.00003569881,0.00001788572,0.00002971114,0.00001077439,6.060801e-7,0.0004470355,0.000001958312,0.002936833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03027789,"threshold_uncertainty_score":0.5824342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1583982614","doi":"10.22004/ag.econ.46018","title":"Member Commitment and the Market and Financial Performance of the Saskatchewan Wheat Pool","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bankruptcy; Debt; Restructuring; Liberian dollar; Business; Finance; Agriculture; Stock market; Agricultural economics; Economics; Geography","authors":[{"name":"Katherine Alice Lang","is_ca":false},{"name":"Murray Fulton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01379538948522953,"gpt":0.1833290073464516,"spread":0.1695336178612221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002937418,0.00008468412,0.0001814646,0.00004427655,0.0004462982,0.00002701341,0.0001814218,0.00002846797,0.0002214229],"category_scores_gemma":[0.0000152762,0.00006187122,0.00005059479,0.0001208168,0.0005471248,0.0003565888,0.0005059169,0.00009313259,0.000008883421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002075778,"about_ca_system_score_gemma":0.00002840729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835753,"about_ca_topic_score_gemma":0.009157639,"domain_scores_codex":[0.9995245,0.00001548866,0.00008788393,0.0001346809,0.00009436626,0.0001430655],"domain_scores_gemma":[0.9996364,0.00004671154,0.0000764405,0.0001519377,0.00007863116,0.000009886866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005118484,0.0006964249,0.6600744,0.00274848,0.0009311698,0.00004100806,0.04730817,0.00138496,0.00133775,0.06533667,0.07037535,0.1446471],"study_design_scores_gemma":[0.006904847,0.00007718074,0.8980089,0.0001199162,0.0001318889,0.000004794046,0.03169477,0.00397559,0.0002106867,0.0004465013,0.05814164,0.000283224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894072,0.00008355229,0.00001126725,0.004119836,0.00005600279,0.0002303054,0.000006578049,0.000003643854,0.006081594],"genre_scores_gemma":[0.9980148,0.0002923839,0.00005122818,0.0002751885,0.00005234283,4.294247e-7,0.000001188363,0.000003936662,0.001308494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2379345,"threshold_uncertainty_score":0.5110177,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899084151","doi":"10.22004/ag.econ.343210","title":"Financial Inclusion in Ethiopia: Using LSMS (Ethiopia Socioeconomic Survey) Data","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Financial inclusion; Financial literacy; Socioeconomic status; Inclusion (mineral); Quarter (Canadian coin); Financial services; Financial institution; Finance; Socioeconomics; Demographic economics; Economic growth; Economics; Business; Geography; Sociology; Demography; Social science; Population","authors":[{"name":"Gashaw Desalegn","is_ca":false},{"name":"Gebe Yemataw","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1406764040653353,"gpt":0.2977553005772654,"spread":0.1570788965119301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.003677235,0.000239662,0.0007770149,0.000464489,0.001843507,0.00008129033,0.002854974,0.0004319077,0.0008309147],"category_scores_gemma":[0.0003608672,0.0003546057,0.0001377216,0.000187528,0.000496191,0.001678567,0.008712028,0.0005713615,0.0005669147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937932,"about_ca_system_score_gemma":0.0002508844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05002831,"about_ca_topic_score_gemma":0.03265038,"domain_scores_codex":[0.9977594,0.00009694319,0.0005416612,0.0009062032,0.0001130619,0.000582734],"domain_scores_gemma":[0.9971462,0.0001285469,0.0007470402,0.001778409,0.0000961776,0.0001035822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003823659,0.0004069653,0.9411088,0.000194761,0.00005931007,0.0002077278,0.008287949,0.00008574783,0.00259602,0.02608865,0.003755729,0.01682601],"study_design_scores_gemma":[0.002262547,0.000114298,0.9638234,0.0001083484,0.00001087559,0.000004892175,0.0003301647,0.008309176,0.0002572937,0.00816062,0.01601752,0.0006008509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914578,0.0005558698,0.001846261,0.0008379952,0.0004383652,0.0002882907,0.0009833771,0.00001267665,0.003579418],"genre_scores_gemma":[0.9954113,0.001460846,0.001509702,0.0001036154,0.0001001026,3.399866e-7,0.0001485452,0.00002550394,0.001240033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02271465,"threshold_uncertainty_score":0.9998906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156998560","doi":"10.22004/ag.econ.132430","title":"Towards a Rural Development Policy: Lessons from the United States and Canada","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","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":true},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Public policy; Government (linguistics); Rural area; Rural development; Agriculture; Economic growth; Policy analysis; Public economics; Agricultural policy; Policy development; Business; Public administration; Political science; Economics; Geography","authors":[{"name":"Mark D. Partridge","is_ca":false},{"name":"M. Rose Olfert","is_ca":true},{"name":"Kamar Ali","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02536139241214426,"gpt":0.2150485988961195,"spread":0.1896872064839752,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055366,0.00009816702,0.0001382349,0.00001532271,0.0003716448,0.0000303648,0.0003160934,0.00004565785,0.0002742517],"category_scores_gemma":[0.00001022769,0.00004116841,0.00003403188,0.000208506,0.00008559875,0.0000997647,0.0001045092,0.00009706383,0.000009657902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008360435,"about_ca_system_score_gemma":0.0001236996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9579234,"about_ca_topic_score_gemma":0.9367133,"domain_scores_codex":[0.9993525,0.00004454733,0.00008613076,0.0001473382,0.0001221553,0.0002473651],"domain_scores_gemma":[0.9995545,0.0001447617,0.00005486953,0.00004668125,0.00005960246,0.0001395957],"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":[0.000161661,0.0001460924,0.03039457,0.00001260931,0.0002135156,0.00005618025,0.01263479,0.00008615491,0.02530232,0.007835898,0.05414204,0.8690142],"study_design_scores_gemma":[0.0001331093,0.00005943055,0.8761774,0.000009221859,0.000005639978,0.000002290378,0.008224213,0.00007930343,0.0002721756,0.0001719869,0.1147481,0.0001171821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322402,0.00003948068,8.774564e-7,0.06701501,0.00001391871,0.0000832692,0.0001845981,0.00000780497,0.0004148507],"genre_scores_gemma":[0.9975441,0.0004639771,0.0000652278,0.0009793214,0.00006862667,1.200955e-7,0.0002408376,3.808887e-7,0.0006374173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.868897,"threshold_uncertainty_score":0.3002864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1558534152","doi":"10.22004/ag.econ.92704","title":"Conjunctive water management in the Rechna Doab: An overview of resources and issues","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","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":"Australian Centre for International Agricultural Research; Commonwealth Scientific and Industrial Research Organisation; Alberta Agricultural Research Institute","keywords":"Conjunctive use; Business; Water resources; Water resource management; Environmental planning; Environmental resource management; Environmental science; Groundwater; Aquifer; Engineering","authors":[{"name":"W. A. Jehangir","is_ca":false},{"name":"Asad Sarwar Qureshi","is_ca":false},{"name":"Nazim Ali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06706572938865436,"gpt":0.2711027855793494,"spread":0.204037056190695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009326299,0.0001954749,0.0003919708,0.0002080649,0.0001226881,0.00003520471,0.0008581557,0.0001347738,0.002768724],"category_scores_gemma":[0.00000240023,0.0001498081,0.0001237905,0.0001913066,0.0005955766,0.0002709344,0.001515329,0.0003009452,0.00009617161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008017056,"about_ca_system_score_gemma":0.00000273393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652906,"about_ca_topic_score_gemma":0.003274959,"domain_scores_codex":[0.9980968,0.0004102623,0.0001868797,0.0005194505,0.0004893732,0.0002972047],"domain_scores_gemma":[0.9991997,0.00004034537,0.00009100848,0.0005750996,0.00002009778,0.00007370026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006388741,0.002304028,0.2662446,0.003599277,0.001918435,0.001552769,0.5519323,0.003957279,0.006632065,0.001297031,0.007611575,0.1523117],"study_design_scores_gemma":[0.00286112,0.0008570282,0.7834267,0.000580643,0.0009024865,0.00002237887,0.1130905,0.004862193,0.004039469,0.008909471,0.07889466,0.001553384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908625,0.0002787685,0.00004268029,0.001451583,0.00002087819,0.0003393702,0.00002497593,0.000008007763,0.006971162],"genre_scores_gemma":[0.9918916,0.002893661,0.0007416389,0.00005321105,0.0000101951,0.00000120467,0.00002979517,0.000008926886,0.004369793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5171821,"threshold_uncertainty_score":0.9981429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119453437","doi":"10.22004/ag.econ.54238","title":"An economic evaluation of a crop insurance programme for small-scale commercial farmers in South Africa","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Crop insurance; Subsidy; Government (linguistics); Business; Adverse selection; Moral hazard; Agricultural economics; Private sector; Scale (ratio); Income protection insurance; Insurance policy; Agricultural science; Agriculture; Incentive; Economic growth; Economics; Finance; Geography; General insurance","authors":[{"name":"W. L. Nieuwoudt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0588197188615614,"gpt":0.251342067825814,"spread":0.1925223489642526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005670466,0.00009861513,0.0002091636,0.00002727706,0.0001668379,0.00001295391,0.0003749569,0.00009170049,0.0008254743],"category_scores_gemma":[0.000009588009,0.00005226333,0.000101961,0.0002342106,0.0002076712,0.0002284502,0.00003085726,0.00008523116,0.00002391439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005844333,"about_ca_system_score_gemma":0.00003481089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00229907,"about_ca_topic_score_gemma":0.01656167,"domain_scores_codex":[0.9989077,0.0001611089,0.0001478598,0.0002743978,0.00020876,0.0003001758],"domain_scores_gemma":[0.999518,0.0000905537,0.00008808111,0.0000658096,0.0001343963,0.0001031578],"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":[0.0003229604,0.0002758115,0.1159233,0.00002134495,0.00001522658,0.000002110093,0.007465169,0.0008990002,0.01861039,0.00003438817,0.0001102732,0.85632],"study_design_scores_gemma":[0.0007290873,0.0005273145,0.9824517,0.00001925313,0.00001846535,9.271535e-7,0.0112254,0.002197119,0.0006093619,0.00004072655,0.002032746,0.0001478852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983363,0.00005744473,0.000002932897,0.0002980352,0.00002101717,0.0005410517,0.0001277269,0.00001007921,0.0006054009],"genre_scores_gemma":[0.9992404,0.00006764897,0.0002611944,0.000006944714,0.00003189655,0.000002503226,0.00004627647,7.182846e-7,0.000342417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665284,"threshold_uncertainty_score":0.9241802,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2281640194","doi":"10.22004/ag.econ.310731","title":"Evaluating Capacity Development in Planning, Monitoring, and Evaluation: A Case from Agricultural Research","year":2000,"lang":"en","type":"book","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","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":"Danish International Development Agency; International Fund for Agricultural Development; Australian Centre for International Agricultural Research; Ministerie van Buitenlandse Zaken; Concordia University; Direktion für Entwicklung und Zusammenarbeit; International Development Research Centre","keywords":"Agriculture; Capacity development; Monitoring and evaluation; Environmental planning; Agricultural development; Business; Environmental resource management; Environmental science; Geography; Economics; Economic growth","authors":[{"name":"Douglas Horton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3308207885326843,"gpt":0.3763393152432594,"spread":0.04551852671057505,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027338,0.0002650333,0.0003978369,0.0001230226,0.0008329673,0.0001020799,0.0003979014,0.0003873421,0.004097118],"category_scores_gemma":[0.00008792273,0.000141454,0.00007316074,0.000584832,0.0002580899,0.0005817668,0.0002663997,0.0009250871,0.00009025184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003490039,"about_ca_system_score_gemma":0.0001722192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007767411,"about_ca_topic_score_gemma":0.006949353,"domain_scores_codex":[0.9967679,0.0006728566,0.0003336842,0.000655178,0.001129864,0.0004404752],"domain_scores_gemma":[0.9974955,0.001188821,0.0002466667,0.0001089299,0.0008088045,0.0001512333],"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":[0.000418752,0.0005056452,0.01722327,0.000227441,0.0005062319,0.002288541,0.03159708,0.0001984781,0.02950907,0.0003267409,0.02958275,0.887616],"study_design_scores_gemma":[0.001122558,0.0006620896,0.8200138,0.001034488,0.0001314109,0.000284458,0.02724321,0.0003299428,0.0005518976,0.0005613546,0.1470225,0.001042288],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969563,0.000680454,1.764024e-7,0.0003688115,0.00006006766,0.0006169844,0.0001110184,0.00001716884,0.02858234],"genre_scores_gemma":[0.8832171,0.0003852004,0.001753775,0.00001121551,0.000455979,0.000008192437,0.0007697971,0.000003683386,0.1133951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865737,"threshold_uncertainty_score":0.99884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140293362","doi":"10.22004/ag.econ.96926","title":"Structure, Conduct and Performance of Value Chain in Seaweed farming in India","year":2010,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Agriculture; Livelihood; Tamil; Business; Production (economics); Scale (ratio); Value chain; Transaction cost; Value (mathematics); Consumption (sociology); Agricultural economics; Resource (disambiguation); Natural resource economics; Fishery; Economics; Marketing; Geography; Supply chain; Ecology; Mathematics; Social science; Biology","authors":[{"name":"M. Krishnan","is_ca":false},{"name":"R Narayanakumar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02146077461059305,"gpt":0.2408201903728664,"spread":0.2193594157622734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006237456,0.0001206629,0.0002883371,0.0004553846,0.000105565,0.00002833933,0.0002618596,0.0001246499,0.0001313429],"category_scores_gemma":[0.0001044236,0.0001431105,0.00004632327,0.0006180927,0.0003252746,0.001038032,0.0001811484,0.0003310396,0.000003974178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004342493,"about_ca_system_score_gemma":0.00006305712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01680412,"about_ca_topic_score_gemma":0.00686304,"domain_scores_codex":[0.9990587,0.00003369448,0.0001558786,0.0002206966,0.0002103703,0.0003206654],"domain_scores_gemma":[0.9995141,0.00006040212,0.0001118533,0.0001576436,0.0001280784,0.00002791063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000143612,0.0001008839,0.9727902,0.000613992,0.0000178095,0.00003967413,0.004710555,0.00003579281,0.003597586,0.005450693,0.00003338447,0.01246585],"study_design_scores_gemma":[0.001048949,0.00004129307,0.9768996,0.00003621357,0.00001328967,0.000001099711,0.01909412,0.001617377,0.0001724505,0.0005235228,0.0004041102,0.0001479306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99643,0.0000244044,0.000001540607,0.0002404127,0.00007952696,0.0002570441,0.00001225756,0.000009059348,0.002945715],"genre_scores_gemma":[0.9996369,0.00002642475,0.000100889,0.00004971261,0.0000485147,1.279271e-7,0.000009654164,0.000007051425,0.0001207071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01438357,"threshold_uncertainty_score":0.9897431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146014358","doi":"10.22004/ag.econ.43498","title":"Consumer Responses to Recent BSE Events","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bovine spongiform encephalopathy; Purchasing; Business; Agricultural science; Agricultural economics; Economics; Marketing; Biology; Disease; Medicine; Prion protein","authors":[{"name":"James G. Pritchett","is_ca":false},{"name":"Kamina K. Johnson","is_ca":false},{"name":"Dawn Thilmany","is_ca":false},{"name":"William F. Hahn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0469017874072547,"gpt":0.2331535522138919,"spread":0.1862517648066372,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001603687,0.0001610031,0.0004105869,0.0004904784,0.0001775851,0.00001882569,0.000499205,0.0001441348,0.002234951],"category_scores_gemma":[0.000112071,0.0002137932,0.0001485655,0.0003797005,0.00009908443,0.000366347,0.0002191425,0.0001865684,0.002664794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438022,"about_ca_system_score_gemma":0.00003717859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006818252,"about_ca_topic_score_gemma":0.001190253,"domain_scores_codex":[0.9985799,0.00003354043,0.0003550698,0.0004769106,0.00006962354,0.0004849931],"domain_scores_gemma":[0.9987708,0.0002027324,0.0002014882,0.0003916815,0.0001192961,0.0003139466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004072126,0.00139014,0.6507481,0.0002284572,0.001091979,0.0004245822,0.01142349,0.00004645996,0.00348987,0.1133509,0.1341416,0.07959222],"study_design_scores_gemma":[0.0009887028,0.0002489096,0.5124279,0.00002158206,0.00001139477,0.000008678879,0.001542695,0.00001676535,0.000451599,0.00120045,0.4827175,0.000363789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522507,0.0005108657,0.0006889062,0.00263581,0.000224722,0.0002863563,0.0001789459,0.00002210549,0.04320158],"genre_scores_gemma":[0.9813598,0.001475256,0.002578894,0.0003194022,0.00005496381,4.8301e-7,0.00002245347,0.0000163635,0.01417237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3485759,"threshold_uncertainty_score":0.9986771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120183203","doi":"10.22004/ag.econ.25297","title":"The Effects of Trade Liberalization of the Environment: An Empirical Study","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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 Alberta","funders":"","keywords":"Pollution haven hypothesis; Openness to experience; Panel data; Economics; Pollutant; International economics; Environmental degradation; Environmental quality; Natural resource economics; Foreign direct investment; Macroeconomics; Econometrics; Ecology","authors":[{"name":"Geoffrey R. McCarney","is_ca":true},{"name":"Wiktor Adamowicz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02695795432074323,"gpt":0.2152094313224809,"spread":0.1882514770017377,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009021107,0.0002484253,0.0006934173,0.0002202981,0.000219232,0.00002180787,0.001315364,0.0002568099,0.0001820024],"category_scores_gemma":[0.0000427717,0.000258345,0.0003137969,0.0001506604,0.0005938173,0.0002036105,0.0009406199,0.0004043324,0.00003142783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155318,"about_ca_system_score_gemma":0.00004351996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465654,"about_ca_topic_score_gemma":0.0007351049,"domain_scores_codex":[0.9980309,0.0002595913,0.0006177495,0.0006362638,0.0001483882,0.0003070853],"domain_scores_gemma":[0.9972519,0.0002836358,0.001105322,0.001259961,0.00001360246,0.00008555075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006264951,0.001685625,0.9723637,0.0004560923,0.0005215296,0.00001073658,0.006674637,0.008197956,0.0003114327,0.006611834,0.001174751,0.001929084],"study_design_scores_gemma":[0.001018575,0.0003158574,0.9894922,0.00003957843,0.00006135525,6.35685e-7,0.0007004132,0.002224833,0.0005479397,0.002421958,0.002916178,0.0002604108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952963,0.0004706108,0.0006573616,0.0005389383,0.0002259177,0.0008113332,0.0001939835,0.00000807688,0.001797494],"genre_scores_gemma":[0.9972624,0.0007364467,0.0002740176,0.00002032801,0.00003048008,0.000003212432,0.00003833505,0.00003020168,0.00160463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01712859,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3103294300","doi":"","title":"The Impact of First and Second Generation Biofuels on Global Agricultural Production, Trade and Land Use","year":2008,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Production (economics); Natural resource economics; Agriculture; Economics; Fossil fuel; Electricity; Biofuel; Bioenergy; Energy policy; Agricultural economics; General equilibrium theory; Sector model; Business; Renewable energy; International trade; Geography; Engineering; Microeconomics","authors":[{"name":"Martin Banse","is_ca":false},{"name":"Hans van Meijl","is_ca":false},{"name":"Geert Woltjer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02991301874250641,"gpt":0.2442798385510503,"spread":0.2143668198085439,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002494891,0.0001155549,0.0001783952,0.00005619303,0.0006054488,0.00002593472,0.0001469504,0.00009073225,0.00009575497],"category_scores_gemma":[0.0001160247,0.00008683943,0.00007721089,0.000276174,0.0006307582,0.0003766568,0.00008669942,0.0001239356,0.000003116512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114458,"about_ca_system_score_gemma":0.00007145281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01025572,"about_ca_topic_score_gemma":0.02057611,"domain_scores_codex":[0.9989568,0.0001664843,0.0001121634,0.0002618403,0.0002381191,0.0002645855],"domain_scores_gemma":[0.9992875,0.0001296878,0.00005411029,0.0002147304,0.0001854079,0.0001285035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001672752,0.0006882951,0.9050061,0.0003143813,0.0007287351,0.0001807235,0.009020863,0.009009798,0.01056136,0.01349486,0.01345872,0.03586347],"study_design_scores_gemma":[0.0006387932,0.0004034241,0.9930299,0.000009400052,0.000009961781,0.00006571989,0.001639851,0.0005521593,0.0006858143,0.0002079089,0.002642874,0.0001141904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975131,0.0001269956,0.000002899719,0.001281074,0.00002743525,0.0001641153,0.0000465187,0.000009297983,0.0008285333],"genre_scores_gemma":[0.9976436,0.0005647957,0.00004587732,0.000005084918,0.00003553574,3.717633e-7,0.00001779915,0.000003493753,0.00168345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08802386,"threshold_uncertainty_score":0.9972958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1528655083","doi":"10.22004/ag.econ.8595","title":"Cross-Sector Relationships Between the Corn Feed Grains and Livestock and Poultry Economies","year":2007,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Livestock; Poultry farming; Agricultural science; Agricultural economics; Business; Geography; Economics; Environmental science; Forestry","authors":[{"name":"John M. Marsh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05760128321250841,"gpt":0.2232531140944049,"spread":0.1656518308818965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001598917,0.0001509379,0.0003565692,0.0002236984,0.000537901,0.00008202813,0.0003004444,0.0001808196,0.0002411057],"category_scores_gemma":[0.00006888513,0.0001618607,0.00009133763,0.0001489158,0.0004751067,0.0005806244,0.0001973267,0.0003325207,0.0001297239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005717652,"about_ca_system_score_gemma":0.00001903027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006455781,"about_ca_topic_score_gemma":0.000758294,"domain_scores_codex":[0.9988966,0.00003591879,0.0003118997,0.0004009948,0.00003449927,0.0003200992],"domain_scores_gemma":[0.9986466,0.000608006,0.000251287,0.0002621123,0.00005298256,0.0001790531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004093576,0.00002229915,0.9741215,0.00003353492,0.000100913,0.000004765031,0.00186463,0.000002417615,0.00002106888,0.02198304,0.0005299178,0.001274978],"study_design_scores_gemma":[0.0006297802,0.0001000824,0.9802856,0.00000980913,0.00001332812,0.000007204599,0.003459837,0.00003285068,0.00001644321,0.003160865,0.01208885,0.0001952966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797859,0.0007031195,0.0002620144,0.001173031,0.00006661808,0.0002303362,0.0002003882,0.00001580153,0.01756275],"genre_scores_gemma":[0.9951875,0.0005278417,0.0006847113,0.00004646018,0.00007928722,3.657646e-7,0.00002715842,0.00001120523,0.003435448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01882218,"threshold_uncertainty_score":0.6600488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1542886241","doi":"10.22004/ag.econ.99781","title":"Canadian Consumers’ Purchasing Behavior of Omega-3 Products","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Demographics; Purchasing; Omega; Business; Marketing; Product (mathematics); Food products; Health claims on food labels; Economics; Agricultural economics; Food science; Mathematics; Biology; Sociology; Demography","authors":[{"name":"Darren Chase","is_ca":false},{"name":"John Paul Emunu","is_ca":false},{"name":"Tomas K.H. Nilsson","is_ca":false},{"name":"Diane McCann‐Hiltz","is_ca":false},{"name":"Yanning Peng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03506877115224695,"gpt":0.2636244186857749,"spread":0.228555647533528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000360329,0.0001246485,0.0003570833,0.0004291405,0.0001496552,0.000007777922,0.0001944971,0.0000946695,0.0005497405],"category_scores_gemma":[0.00005786623,0.0001530461,0.0001010246,0.0004061878,0.0002027779,0.0001580466,0.00004480914,0.0002242596,0.00004559137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380958,"about_ca_system_score_gemma":0.0006131072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07265793,"about_ca_topic_score_gemma":0.05187784,"domain_scores_codex":[0.9988226,0.00004763702,0.0001623772,0.0002866626,0.0002947203,0.0003859679],"domain_scores_gemma":[0.9987915,0.00004572979,0.00007826046,0.0003583173,0.0003666607,0.0003595978],"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":[0.0005764898,0.000973441,0.2978133,0.0006601746,0.0007202622,0.001931687,0.009424429,0.000007659629,0.216708,0.001493698,0.001806707,0.4678842],"study_design_scores_gemma":[0.004119209,0.001276094,0.9509647,0.000427129,0.001107718,0.0002117505,0.00486578,0.0003018864,0.01375314,0.00002568827,0.02244441,0.0005025116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915966,0.0006588968,0.00003032326,0.004333827,0.00005396656,0.0003911996,0.0000385756,0.00001628409,0.002880373],"genre_scores_gemma":[0.9961446,0.0001271024,0.002021311,0.00007846599,0.00001659623,1.72296e-7,0.00002411874,0.000009115596,0.001578508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6531514,"threshold_uncertainty_score":0.9654229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1577559855","doi":"10.22004/ag.econ.28602","title":"NORTH AMERICAN AGRICULTURAL POLICIES AND EFFECTS ON WESTERN HEMISPHERE MARKETS SINCE 1995, WITH A FOCUS ON GRAINS AND OILSEEDS","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Western hemisphere; Agriculture; Agricultural economics; Production (economics); Economics; Agricultural policy; Agricultural productivity; International economics; International trade; Geography; Macroeconomics","authors":[{"name":"Bruce L. Gardner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0144313526223792,"gpt":0.1928276743985085,"spread":0.1783963217761292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001070297,0.0004080994,0.0005923557,0.00004636806,0.000348752,0.0001060139,0.0004218814,0.000162105,0.00006909836],"category_scores_gemma":[0.00001163745,0.0001856998,0.0001261859,0.0002771521,0.0004709545,0.000146306,0.0005211988,0.0004868342,0.00002694812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007959657,"about_ca_system_score_gemma":0.00001368464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01031045,"about_ca_topic_score_gemma":0.04790029,"domain_scores_codex":[0.9983109,0.0001396644,0.0001508849,0.0006743144,0.0002454554,0.0004787654],"domain_scores_gemma":[0.9987677,0.0004101602,0.0002601385,0.0001359319,0.00008535026,0.000340754],"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":[0.001193258,0.0006369118,0.3277569,0.0008467298,0.0007270902,0.0003504822,0.007232791,0.0001033759,0.006740824,0.000879621,0.006865229,0.6466668],"study_design_scores_gemma":[0.0003588963,0.001210003,0.9929347,0.0001623677,0.00003954535,0.00002292423,0.001490265,0.00003738917,0.0002278821,0.00001853798,0.003041339,0.0004561631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897568,0.00009665323,2.820841e-7,0.007227546,0.00002826902,0.0004157726,0.0003147705,0.00003290048,0.002127026],"genre_scores_gemma":[0.9957755,0.001351115,0.00005312612,0.0002125544,0.0001519011,0.000002056726,0.0000873849,0.000002907726,0.002363411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6651778,"threshold_uncertainty_score":0.99628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1515981955","doi":"10.22004/ag.econ.23825","title":"Canadian Agriculture and the Doha Development Agenda: The Challenges","year":2005,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Subsidy; Agriculture; Market access; International trade; International development; Business; Agreement on Agriculture; Supply management; Political science; Economic growth; World trade; Economics; Geography","authors":[{"name":"James Rude","is_ca":false},{"name":"Karl D. Meilke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0316102910534551,"gpt":0.188946545550422,"spread":0.1573362544969669,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003818434,0.000109543,0.0001514747,0.00001381026,0.0007373404,0.00003576132,0.0004403567,0.00007868913,0.0005393784],"category_scores_gemma":[0.000008578128,0.0000334509,0.00007039033,0.0001289605,0.0002203548,0.00015016,0.0001294895,0.0001472678,0.0001201395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007005311,"about_ca_system_score_gemma":0.00003610121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08511941,"about_ca_topic_score_gemma":0.7926034,"domain_scores_codex":[0.9992181,0.00008988399,0.00009344378,0.0001934162,0.0001093427,0.0002957938],"domain_scores_gemma":[0.9994913,0.0001733982,0.00005814912,0.00006132596,0.00006144168,0.0001543244],"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":[0.00008585762,0.0000644257,0.001889841,0.00002178824,0.0001869885,0.00001778132,0.02315128,0.00002802429,0.003196365,0.03402708,0.03320184,0.9041287],"study_design_scores_gemma":[0.0002698977,0.00003116675,0.2923235,0.00000715323,0.00001061406,0.0000126098,0.009199671,0.00003800169,0.0001256529,0.00005180756,0.6978039,0.0001260548],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887188,0.0008384811,1.992767e-7,0.1028487,0.00002063926,0.0001851548,0.00002614859,0.000007413367,0.007354521],"genre_scores_gemma":[0.9932119,0.00216938,0.00006213173,0.0004551669,0.0001418181,7.674172e-7,0.00001579465,5.374773e-7,0.003942457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9040027,"threshold_uncertainty_score":0.9209729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1603983135","doi":"10.22004/ag.econ.94384","title":"Consumer Issues and Demand","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture, Water, and Health","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Economic Research Service; Iowa State University; U.S. Department of Agriculture","keywords":"Consumer demand; Demographics; Agriculture; Business; Production (economics); Food processing; Scale (ratio); Technological change; Agricultural economics; Economics; Commerce; Marketing; Natural resource economics; Market economy; Food science; Geography","authors":[{"name":"Helen H. Jensen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0131649594484539,"gpt":0.2180320935872323,"spread":0.2048671341387784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001986386,0.00008406378,0.0001435572,0.00003377265,0.0002330477,0.00001088884,0.0001524175,0.00006573816,0.002247934],"category_scores_gemma":[0.000002636478,0.00008043198,0.00003268084,0.0001097955,0.0003977092,0.0002530552,0.0001566054,0.00009183752,0.0005012472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004088568,"about_ca_system_score_gemma":0.000008168199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01470931,"about_ca_topic_score_gemma":0.007749197,"domain_scores_codex":[0.9991954,0.00005567303,0.00007398308,0.0002256067,0.0002051067,0.0002442611],"domain_scores_gemma":[0.9996807,0.00003471572,0.00004026666,0.0001203513,0.00001315866,0.000110819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005022238,0.0001499572,0.8897467,0.00006641008,0.00002216272,0.00008857062,0.003424993,0.00005616534,0.005877971,0.00119004,0.09247066,0.006856179],"study_design_scores_gemma":[0.0004805074,0.00007665888,0.9337274,0.000009621349,0.00001437117,0.00001103733,0.001546842,0.0001189342,0.0007460828,0.0003880403,0.06274331,0.0001372032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876397,0.0001908298,0.00007155353,0.000941466,0.0000191284,0.000119915,0.00001221251,0.00001319126,0.01099201],"genre_scores_gemma":[0.985172,0.0006309216,0.001011919,0.00004901248,0.00002312492,1.131309e-7,0.0000104478,0.000003954304,0.01309845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04398072,"threshold_uncertainty_score":0.9986641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1590957081","doi":"10.22004/ag.econ.93980","title":"Agricultural Production and Productivity in Canada","year":2009,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Agriculture; Productivity; Livestock; Agricultural productivity; Agricultural economics; Production (economics); Economics; Total factor productivity; National economy; Natural resource economics; Geography; Economic growth; Economic system; Macroeconomics; Forestry","authors":[{"name":"Terrence S. Veeman","is_ca":false},{"name":"Richard Gray","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02226598726195423,"gpt":0.171626142039968,"spread":0.1493601547780138,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005397639,0.0001108252,0.0003222675,0.0001726015,0.0001034918,0.000011886,0.0001661566,0.00004877535,0.0001572572],"category_scores_gemma":[0.00008940192,0.0001456455,0.00003769808,0.0002676885,0.00008224781,0.0006311919,0.00004941141,0.0001834958,0.00003557728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860241,"about_ca_system_score_gemma":0.0001298205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5379894,"about_ca_topic_score_gemma":0.782587,"domain_scores_codex":[0.9989581,0.00002936429,0.0001890745,0.0005009228,0.00004225865,0.0002803571],"domain_scores_gemma":[0.9994611,0.00002619294,0.0001397234,0.0002382342,0.00003929208,0.00009543759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024878,0.0001875315,0.9598481,0.00009767566,0.00004258177,0.00002906733,0.002216635,0.0001502409,0.001474518,0.01343029,0.003586136,0.01883473],"study_design_scores_gemma":[0.0002876182,0.00006123724,0.9945491,0.00001067925,0.000002601327,0.000009832169,0.0008782095,0.0001063643,0.0004810568,0.001356936,0.00207957,0.0001767916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874824,0.0003332073,0.00002076546,0.006636354,0.0001587864,0.0002175339,0.00004144479,0.000007620708,0.005101871],"genre_scores_gemma":[0.9982315,0.0001613152,0.000196617,0.00002872858,0.00005454697,2.565366e-7,0.000006914408,0.000003839183,0.001316272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2445976,"threshold_uncertainty_score":0.593925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121169149","doi":"10.22004/ag.econ.273594","title":"Bayesian Estimation of Dynamic Discrete Choice Models","year":2006,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Curse of dimensionality; Markov chain Monte Carlo; Dynamic programming; Mathematical optimization; Bayesian probability; Computer science; Grid; Posterior probability; Monte Carlo method; Algorithm; Markov chain; Bayes estimator; Structural estimation; Mathematics; Statistics; Artificial intelligence; Machine learning","authors":[{"name":"Susumu Imai","is_ca":true},{"name":"Neelam Jain","is_ca":false},{"name":"Andrew T. Ching","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01795592389960446,"gpt":0.2293437456315412,"spread":0.2113878217319367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139641,0.0001205282,0.0002214289,0.0003707927,0.0001701197,0.00003601932,0.0002944204,0.00006399422,0.0006738426],"category_scores_gemma":[0.00001587865,0.000149644,0.0001069052,0.000430231,0.000136542,0.001502114,0.0001826014,0.0001118608,0.00004729495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002797771,"about_ca_system_score_gemma":0.00002485264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02035842,"about_ca_topic_score_gemma":0.0053066,"domain_scores_codex":[0.9990742,0.00002190035,0.0001639336,0.0002260856,0.0002811498,0.0002326884],"domain_scores_gemma":[0.9993386,0.0000856773,0.0001707981,0.0002395846,0.0001496729,0.00001572913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005021924,0.0006819561,0.2943288,0.002382679,0.0002070963,0.000161954,0.001192047,0.02183978,0.01531457,0.02300012,0.005104561,0.6352842],"study_design_scores_gemma":[0.000895807,0.0000165023,0.3719775,0.00008955656,0.00014208,0.000001585128,0.0007062838,0.6229333,0.00006995652,0.001530513,0.00137599,0.0002608842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613147,0.00004113231,0.02098378,0.0003950494,0.00005439452,0.0001778298,0.00001242684,0.00003371244,0.01698696],"genre_scores_gemma":[0.9973271,0.00001237936,0.001162007,0.00001885619,0.0000329547,2.517355e-7,0.00006051555,0.00001191907,0.00137401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6350234,"threshold_uncertainty_score":0.9861651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1546105652","doi":"10.22004/ag.econ.15748","title":"Grain Transportation Policy and Transformation in Western Canadian Agriculture","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Repeal; Subsidy; Agriculture; Agricultural economics; Livestock; Agricultural diversification; Business; Economics; International trade; Natural resource economics; Geography; Market economy; Political science; Forestry","authors":[{"name":"Darcie Doan","is_ca":false},{"name":"Brian Paddock","is_ca":false},{"name":"Jan Dyer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01507322262988903,"gpt":0.2060484041628949,"spread":0.1909751815330059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002462674,0.00009239627,0.0001333772,0.00008084236,0.000192077,0.00001865865,0.0001359409,0.0001148491,0.0003814563],"category_scores_gemma":[0.00001288846,0.00004504968,0.00004208343,0.0006138416,0.00006716688,0.0003487249,0.00000604448,0.0001379485,0.00003312977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006912273,"about_ca_system_score_gemma":0.0000583891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2124651,"about_ca_topic_score_gemma":0.8251392,"domain_scores_codex":[0.9991313,0.0000898184,0.0001029107,0.0001742227,0.00019695,0.0003048022],"domain_scores_gemma":[0.9996079,0.00004557827,0.00002802856,0.00002592103,0.00009360555,0.0001990049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001525314,0.0003369668,0.518034,0.0002256877,0.0001063843,0.0002941807,0.03639944,0.00004266793,0.1540571,0.0328824,0.01197344,0.2454952],"study_design_scores_gemma":[0.0002419174,0.00007220219,0.9348126,0.00001915282,0.000003545886,0.000004572665,0.005700934,0.000004688276,0.000613606,0.0001048411,0.05830471,0.0001172366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869891,0.00004568855,0.000005172883,0.008982711,0.00001320116,0.0002189344,0.00005011229,0.000007546611,0.003687477],"genre_scores_gemma":[0.9967706,0.0003776702,0.00005003321,0.00008387504,0.00001777838,5.120959e-7,0.0001452139,4.758766e-7,0.002553817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6126741,"threshold_uncertainty_score":0.7927791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109773305","doi":"10.22004/ag.econ.18245","title":"GM FOOD LABELING POLICIES OF THE U.S. AND ITS TRADING PARTNERS","year":2001,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Cooperative State Research, Education, and Extension Service; U.S. Department of Agriculture","keywords":"International trade; Nutrition Labeling; Food labeling; Business; Food products; Food policy; International economics; Political science; Economics; Food security; Marketing; Food science; Geography; Agriculture; Biology","authors":[{"name":"Matthew C. Rousu","is_ca":false},{"name":"Wallace E. Huffman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0736223374811566,"gpt":0.2522438248787933,"spread":0.1786214873976367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003024738,0.00007993903,0.0001518209,0.00002970217,0.0002658252,0.00001554511,0.0004414563,0.00007237812,0.0008170962],"category_scores_gemma":[0.00004826922,0.00003936421,0.00006769924,0.0004346124,0.0002561609,0.0001088539,0.0002699952,0.0001363546,0.00001067763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001635909,"about_ca_system_score_gemma":0.00001923884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007715818,"about_ca_topic_score_gemma":0.002272832,"domain_scores_codex":[0.9989784,0.0001176085,0.00009408208,0.0001926432,0.0003217839,0.0002954298],"domain_scores_gemma":[0.9994553,0.0001973832,0.0000480627,0.00007241906,0.000110586,0.0001162588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003932715,0.000076511,0.03483185,0.00003224747,0.00004088441,0.000008456574,0.001748343,0.00001189067,0.9346824,0.001832095,0.0003001707,0.02639583],"study_design_scores_gemma":[0.0004196942,0.0005643292,0.936119,0.00004147594,0.00002156101,0.0000143006,0.009233369,0.0006640053,0.04842893,0.0002698959,0.004036317,0.0001870919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943132,0.0001546623,0.000002882655,0.003787778,0.00001640517,0.0001510117,0.00002478735,0.000007496731,0.001541821],"genre_scores_gemma":[0.998866,0.0003548343,0.00007456022,0.00002737836,0.00002107624,1.418893e-7,0.000003106503,8.593182e-7,0.0006521026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9012872,"threshold_uncertainty_score":0.894663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1603620296","doi":"10.22004/ag.econ.19507","title":"Measuring Efficiency in Fruit and Vegetable Marketing Co-operatives with Heterogeneous Technologies in Canada","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph","funders":"","keywords":"Business; Marketing; Agricultural science; Agricultural economics; Economics; Environmental science","authors":[{"name":"Getu Hailu","is_ca":true},{"name":"Ellen Goddard","is_ca":false},{"name":"Scott R. Jeffrey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02834148542673816,"gpt":0.1943308907607652,"spread":0.1659894053340271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005143188,0.0002443478,0.0005058346,0.0004564038,0.0002259302,0.00008532638,0.0004011908,0.0001000192,0.0001382059],"category_scores_gemma":[0.00005247631,0.0002733958,0.000036606,0.0002506166,0.0001996851,0.0004317286,0.00124064,0.0004571632,0.000008655918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958575,"about_ca_system_score_gemma":0.0003074105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6066733,"about_ca_topic_score_gemma":0.9762024,"domain_scores_codex":[0.9986364,0.00002998983,0.0002050534,0.0005249131,0.0001822731,0.0004213288],"domain_scores_gemma":[0.9993888,0.00009720968,0.0001564086,0.0002339019,0.0001089228,0.00001482523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002776305,0.0001018055,0.9348907,0.001120095,0.0001375196,0.0004202041,0.001489577,0.03874369,0.0001314359,0.000161092,0.0003642496,0.02216196],"study_design_scores_gemma":[0.004075419,0.00007753955,0.7952463,0.001814298,0.00008652947,0.00001479726,0.09703828,0.07956233,0.0004096941,0.00007994556,0.01965659,0.001938295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928071,0.0007950361,0.0000197523,0.001171141,0.00004511201,0.0003736817,0.00001558675,0.00002143428,0.004751155],"genre_scores_gemma":[0.9986997,0.0008422204,0.0002146503,0.00003741789,0.00003456829,0.000001994542,0.00001072644,0.00001422188,0.00014447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3695291,"threshold_uncertainty_score":0.9999718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3112220604","doi":"10.22004/ag.econ.301008","title":"The 2018–2019 Trade Conflict: A One-Year Assessment and Impacts on U.S. Agricultural Exports","year":2019,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Agriculture; International trade; China; European union; Product (mathematics); State (computer science); Agricultural economics; International economics; Economics; Business; Political science; Geography","authors":[{"name":"Jason H. Grant","is_ca":false},{"name":"Shawn Arita","is_ca":false},{"name":"Charlotte Emlinger","is_ca":false},{"name":"Sharon Sydow","is_ca":false},{"name":"Mary A. Marchant","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02913253700676446,"gpt":0.2309501551101033,"spread":0.2018176181033388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000298508,0.000156657,0.000240749,0.00001660471,0.000393908,0.00007608395,0.0003515915,0.0001064607,0.0007408678],"category_scores_gemma":[0.000006419742,0.00006202705,0.0001219688,0.0001577081,0.0001493922,0.0002636726,0.0001450639,0.0002054957,0.0001902296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006391233,"about_ca_system_score_gemma":0.00002115898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573778,"about_ca_topic_score_gemma":0.002148431,"domain_scores_codex":[0.9988666,0.00008178126,0.0001411581,0.0003082823,0.0002165869,0.0003856082],"domain_scores_gemma":[0.9992122,0.0002998319,0.0001311209,0.0001032783,0.00004384421,0.0002097175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000641895,0.0008355972,0.2041612,0.000109869,0.0005755615,0.00005065459,0.00670147,0.00005084596,0.458396,0.06579459,0.1239105,0.1387718],"study_design_scores_gemma":[0.0003273834,0.0005043623,0.9553486,0.00002144776,0.00001113166,0.000006191639,0.004104599,0.00003229576,0.0002700518,0.00003658915,0.03916166,0.0001756802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832447,0.0000654605,1.434053e-7,0.00876811,0.00007757318,0.0003423238,0.00008914879,0.00001602286,0.007396474],"genre_scores_gemma":[0.9950719,0.001026577,0.00002731843,0.0001332434,0.00008670718,4.541641e-7,0.00005275142,0.000001065532,0.003599967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7511874,"threshold_uncertainty_score":0.8111983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1531355746","doi":"10.22004/ag.econ.16570","title":"CASE STUDY -- GUATEMALAN RASPBERRIES AND CYCLOSPORA","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cyclospora; Outbreak; Environmental health; Geography; Publicity; Food safety; Disease control; Medicine; Business; Ecology; Biology; Virology","authors":[{"name":"Linda Calvin","is_ca":false},{"name":"Luis Flores","is_ca":false},{"name":"William Foster","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05736238556258817,"gpt":0.2441748890713632,"spread":0.186812503508775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000450632,0.00008556545,0.000145377,0.00002654995,0.0003629207,0.00003121725,0.0001512122,0.00005403332,0.001988275],"category_scores_gemma":[0.000025441,0.00004725357,0.00004123571,0.0002838032,0.0001656299,0.0001251019,0.00009771466,0.0001072421,0.00003170906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001011227,"about_ca_system_score_gemma":0.00001469923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003332908,"about_ca_topic_score_gemma":0.007658286,"domain_scores_codex":[0.9990211,0.0001892995,0.0000883938,0.000247441,0.0002362194,0.0002175101],"domain_scores_gemma":[0.9994851,0.0001297647,0.00004106118,0.00007031513,0.0001324865,0.0001412834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009334181,0.000975832,0.837352,0.00004875351,0.000144496,0.004553247,0.009379662,0.00001026823,0.05333598,0.001968476,0.001700805,0.09043717],"study_design_scores_gemma":[0.0009573394,0.001167009,0.7743567,0.00001240483,0.00002723444,0.0004211788,0.2051314,0.0001141721,0.001324676,0.0001388449,0.01603785,0.000311194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975548,0.00005169016,0.000002792035,0.0004167498,0.0000155084,0.0002522715,0.0000191131,0.00001008996,0.001677],"genre_scores_gemma":[0.9975143,0.0000687369,0.0001021414,0.00001476668,0.00001150478,3.963643e-7,0.000006575723,7.010815e-7,0.00228086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957518,"threshold_uncertainty_score":0.998924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2569124884","doi":"10.22004/ag.econ.246086","title":"Khapra beetle, Trogoderma granarium interceptions and eradications in Australia and around the world","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Trogoderma granarium; Biology; PEST analysis; Infestation; Toxicology; Agronomy; Botany","authors":[{"name":"Cheryl Day","is_ca":false},{"name":"Ben White","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04953407536626847,"gpt":0.2558780736678067,"spread":0.2063439983015382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003370368,0.0001745167,0.0002733369,0.00009421572,0.0003247785,0.00008922067,0.0004786898,0.0001609678,0.0006980257],"category_scores_gemma":[0.00001729762,0.00008331842,0.00009022669,0.00022987,0.0007663409,0.0002343921,0.0004795709,0.0004475845,0.00002555918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005002472,"about_ca_system_score_gemma":0.00002840864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01030218,"about_ca_topic_score_gemma":0.1254014,"domain_scores_codex":[0.9987634,0.000210388,0.0001575725,0.0004000788,0.0001797592,0.0002887767],"domain_scores_gemma":[0.9991626,0.000392236,0.0001166865,0.0001351203,0.00008993978,0.0001034617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009293595,0.001097618,0.3741572,0.0007062266,0.0009915972,0.0003770543,0.02387624,0.0001123367,0.3300862,0.07126424,0.02186663,0.1745352],"study_design_scores_gemma":[0.0003256689,0.0000823926,0.9881428,0.00009689404,0.00003773838,0.000009080747,0.003100188,0.0001531151,0.00003216511,0.003596275,0.004219446,0.0002042715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808718,0.00009794498,0.00001232967,0.01682197,0.00005545119,0.0003621878,0.000213489,0.00001579656,0.001549037],"genre_scores_gemma":[0.9950601,0.0002956949,0.00007387668,0.00004370735,0.00008463935,0.00000272039,0.00004132123,0.000001173822,0.004396796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6139855,"threshold_uncertainty_score":0.9962883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1522809984","doi":"10.22004/ag.econ.18522","title":"China's Accession to the WTO: What Is at Stake for Agricultural Markets?","year":2001,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Accession; China; Agricultural economics; Agriculture; European union; Consumption (sociology); Livestock; Revenue; Production (economics); Business; Agribusiness; International trade; Agricultural policy; Baseline (sea); Economics; Geography","authors":[{"name":"Frank H. Fuller","is_ca":false},{"name":"John C. Beghin","is_ca":false},{"name":"Stéphane de Cara","is_ca":false},{"name":"Jacinto F. Fabiosa","is_ca":false},{"name":"Cheng Fang","is_ca":false},{"name":"Holger Matthey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08671140652609147,"gpt":0.2362163975059888,"spread":0.1495049909798974,"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":[0.0008024694,0.0003594506,0.0007924083,0.0002810085,0.0005023089,0.0002595463,0.00158878,0.0004004776,0.003082564],"category_scores_gemma":[0.00003327343,0.0003654158,0.0005493711,0.0002412607,0.0001306743,0.0007939597,0.00162482,0.0004423777,0.001033385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588497,"about_ca_system_score_gemma":0.00004183397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112095,"about_ca_topic_score_gemma":0.001967428,"domain_scores_codex":[0.9978148,0.00004484649,0.0004551545,0.0009585157,0.00008675695,0.0006398718],"domain_scores_gemma":[0.9981945,0.0001052882,0.0004991159,0.0008345888,0.0000997262,0.0002667788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002332474,0.001093373,0.06522957,0.002359321,0.002607241,0.0001515089,0.03491333,0.005773284,0.0002209756,0.0485643,0.7266575,0.1100972],"study_design_scores_gemma":[0.001418977,0.0001996426,0.4740016,0.0002192333,0.00005969868,0.0000126436,0.007420012,0.002345837,0.0001646523,0.004302928,0.5088944,0.0009603431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632125,0.001365065,0.0006044697,0.02079715,0.0009144667,0.001088617,0.001794423,0.00002450989,0.0101988],"genre_scores_gemma":[0.955418,0.01269,0.001077274,0.000629461,0.0002694176,0.000009672035,0.000370592,0.00004223419,0.02949337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4087721,"threshold_uncertainty_score":0.9998798,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099966792","doi":"10.22004/ag.econ.8152","title":"Identification of Niche Market for Hanwoo Beef: Understanding Korean Consumer Preference for Beef using Market Segment Analysis","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Nutrition, Health and Food Behavior","field":"Nursing","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 Manitoba","funders":"","keywords":"Hanwoo; Business; Purchasing; Product (mathematics); Niche market; Quality (philosophy); Identification (biology); Marketing; Food science; Mathematics","authors":[{"name":"Renee B. Kim","is_ca":true},{"name":"Milton S. Boyd","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1214139133367318,"gpt":0.3182369511820058,"spread":0.196823037845274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096426,0.0001658712,0.0004414656,0.0006514371,0.0004815988,0.0000278277,0.0002993004,0.0001567337,0.0002659394],"category_scores_gemma":[0.00006501977,0.0002182738,0.0003040154,0.0006709259,0.0002592578,0.0003753329,0.00005505431,0.0001236698,0.00000305869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056897,"about_ca_system_score_gemma":0.0001342087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008065726,"about_ca_topic_score_gemma":0.001479126,"domain_scores_codex":[0.9982277,0.0001324974,0.000387833,0.0004437029,0.0003533478,0.0004548871],"domain_scores_gemma":[0.9983402,0.000342146,0.0003665819,0.0003600794,0.0004059092,0.000185037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.04285217,0.009987777,0.2664781,0.0208333,0.007494767,0.00006978834,0.04113456,0.002825973,0.5103331,0.009337047,0.03868181,0.04997157],"study_design_scores_gemma":[0.05307861,0.007194384,0.4695181,0.002123403,0.01995439,0.00004419893,0.120072,0.1045888,0.2015459,0.01210913,0.006156814,0.003614327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915419,0.00009990692,0.08124532,0.0008683567,0.0001453863,0.001286952,0.0007856447,0.00002205933,0.0001273449],"genre_scores_gemma":[0.9901482,0.00007663316,0.00913521,0.00002501553,0.00002547033,0.000004458581,0.0001345665,0.00001831623,0.0004320704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087873,"threshold_uncertainty_score":0.8900948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1591545974","doi":"10.22004/ag.econ.14587","title":"WTO 2004 Agriculture Framework: Disciplines on Distorting Domestic Support","year":2005,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; U.S. Department of Agriculture","keywords":"Direct Payments; Payment; Negotiation; China; Product (mathematics); Agriculture; Business; Agricultural economics; Economics; Finance; Mathematics; Political science; Geography","authors":[{"name":"Lars Brink","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0706482652511597,"gpt":0.2478987374201748,"spread":0.1772504721690151,"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":[0.0006342395,0.0004496404,0.001090471,0.0004532871,0.0003040572,0.00009520847,0.001183383,0.0007374295,0.002355357],"category_scores_gemma":[0.000112417,0.000582399,0.0005415366,0.0002711265,0.0002511844,0.0003646694,0.0009009006,0.001195553,0.001669467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005048009,"about_ca_system_score_gemma":0.0001080352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281317,"about_ca_topic_score_gemma":0.0007512787,"domain_scores_codex":[0.9973244,0.00003570465,0.000680638,0.001108272,0.0001254149,0.0007255407],"domain_scores_gemma":[0.9977282,0.0001563319,0.0008314928,0.0008737597,0.00008960554,0.0003205806],"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":[0.0007852687,0.003493049,0.3039132,0.003314039,0.002965197,0.001299532,0.0276835,0.07098607,0.0001169586,0.4055216,0.1560387,0.0238829],"study_design_scores_gemma":[0.004068511,0.001079479,0.4865292,0.001323622,0.0003059635,0.00007452257,0.008781419,0.007405701,0.0001399538,0.05670807,0.4284205,0.005163079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533147,0.0009206576,0.00184247,0.004166265,0.0009574085,0.0005294823,0.00186852,0.00006894332,0.03633152],"genre_scores_gemma":[0.9839802,0.001511365,0.003469652,0.0001827839,0.0004372965,0.000002253506,0.0003268431,0.00004232278,0.01004729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3488136,"threshold_uncertainty_score":0.9996628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1906961880","doi":"10.22004/ag.econ.273568","title":"Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices","year":2006,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Western University","funders":"","keywords":"Identifiability; Nonparametric statistics; Estimator; Covariate; Discrete choice; Dimension (graph theory); Mathematics; Econometrics; Identification (biology); Logit; Discrete time and continuous time; Mixed logit; Statistics; Logistic regression","authors":[{"name":"Hiroyuki Kasahara","is_ca":true},{"name":"Katsumi Shimotsu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02442866440521142,"gpt":0.2477311409680079,"spread":0.2233024765627965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006248732,0.0001983342,0.0004572806,0.001151572,0.0001166721,0.00006662005,0.0004324006,0.0002073235,0.0001241871],"category_scores_gemma":[0.00006048641,0.0002473545,0.0001506661,0.000628586,0.0002344739,0.0009835984,0.0007075698,0.0002880374,0.000007748236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000300088,"about_ca_system_score_gemma":0.00004648065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154871,"about_ca_topic_score_gemma":0.001397337,"domain_scores_codex":[0.9986328,0.00004323553,0.000342432,0.0003993067,0.0003952857,0.0001869052],"domain_scores_gemma":[0.998216,0.0002072033,0.0007817148,0.0004069378,0.0003704775,0.00001768902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006512347,0.0007176835,0.1688878,0.02285543,0.0006158228,0.00005530931,0.002660846,0.08130528,0.008681826,0.00270672,0.001159178,0.7097028],"study_design_scores_gemma":[0.000533119,0.00001334642,0.4241253,0.0003453009,0.0004207963,7.004495e-7,0.000408609,0.5721805,0.00009907533,0.001451044,0.0001404502,0.0002817165],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793028,0.0003037516,0.01783841,0.0001662705,0.0001027452,0.0003896126,0.0000991349,0.00002017457,0.001777062],"genre_scores_gemma":[0.9972258,0.0002014058,0.00147374,0.000005879471,0.0000216174,7.879406e-7,0.0003352781,0.00001490865,0.0007205594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7094212,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096224028","doi":"10.22004/ag.econ.18624","title":"ASSESSING THE IMPACT OF THE EXCHANGE RATE AND ITS VOLATILITY ON CANADIAN PORK AND LIVE SWINE EXPORTS TO THE UNITED STATES AND JAPAN","year":2002,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Exchange rate; Volatility (finance); Economics; Autoregressive conditional heteroskedasticity; Monetary economics; Econometrics; Variance (accounting); International economics","authors":[{"name":"Jacinto F. Fabiosa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05132294663706971,"gpt":0.2425639584863092,"spread":0.1912410118492395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226023,0.0001158387,0.0002316027,0.0001928575,0.0004178472,0.00005948361,0.0002189807,0.00005245975,0.000601372],"category_scores_gemma":[0.0001004641,0.00008567946,0.00005732975,0.0003390265,0.0001971664,0.0002067642,0.000158835,0.0001766623,0.000004275372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007453711,"about_ca_system_score_gemma":0.00002617199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1696287,"about_ca_topic_score_gemma":0.08003422,"domain_scores_codex":[0.9991678,0.0001154094,0.0001627791,0.00026219,0.00005049042,0.0002413197],"domain_scores_gemma":[0.999028,0.0002633122,0.0001533339,0.0003141442,0.00007211616,0.0001691337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003076309,0.00004342242,0.9825379,0.00005105673,0.00008517924,0.000005326215,0.01134162,0.00004814506,0.00001561525,0.0006693726,0.001033703,0.004137944],"study_design_scores_gemma":[0.0001948362,0.00007627043,0.8290408,0.00001714705,0.000006536862,0.000001962848,0.001615677,0.1675849,0.000002507586,0.0002586223,0.00112287,0.00007786253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941134,0.0003677483,0.0000147331,0.003513742,0.00003040888,0.0003148234,0.000332651,0.000002840972,0.001309695],"genre_scores_gemma":[0.998526,0.000677215,0.00001567632,0.0001039092,0.00001031725,4.127576e-7,0.000008703123,0.000006361665,0.000651371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1675367,"threshold_uncertainty_score":0.9367527,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}